From d3218bd89ce8d1148b1f79dfe589065f47037be6 Mon Sep 17 00:00:00 2001 From: tsanikgr Date: Thu, 16 May 2019 14:17:43 +0100 Subject: [PATCH] First commit of version 0.14 --- .circleci/config.yml | 59 + .coveragerc | 7 + .flake8 | 7 + .github/ISSUE_TEMPLATE/bug-report.md | 47 + .github/ISSUE_TEMPLATE/feature-request.md | 26 + .github/PULL_REQUEST_TEMPLATE.md | 23 + .gitignore | 150 + .isort.cfg | 10 + .pylintrc | 425 + CODEOWNERS | 22 + CODE_OF_CONDUCT.md | 78 + CONTRIBUTING.md | 159 + MANIFEST.in | 6 + Makefile | 37 + RELEASE.md | 13 + appveyor.yml | 43 + behave.ini | 9 + docs/README.md | 47 + docs/build-docs.sh | 46 + docs/conf.py | 420 + .../source/01_introduction/01_introduction.md | 25 + .../02_getting_started/01_prerequisites.md | 63 + docs/source/02_getting_started/02_install.md | 22 + .../02_getting_started/03_new_project.md | 59 + .../02_getting_started/04_hello_world.md | 159 + .../images/iris_measurements.png | Bin 0 -> 153550 bytes .../images/kedro_graphic.png | Bin 0 -> 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tests/io/test_memory_data_set.py create mode 100644 tests/io/test_parquet_local.py create mode 100644 tests/io/test_pickle_local.py create mode 100644 tests/io/test_pickle_s3.py create mode 100644 tests/io/test_sql.py create mode 100644 tests/io/test_text_local.py create mode 100644 tests/pipeline/__init__.py create mode 100644 tests/pipeline/test_decorators.py create mode 100644 tests/pipeline/test_node.py create mode 100644 tests/pipeline/test_node_run.py create mode 100644 tests/pipeline/test_pipeline.py create mode 100644 tests/pipeline/test_pipeline_from_missing.py create mode 100644 tests/runner/__init__.py create mode 100644 tests/runner/test_parallel_runner.py create mode 100644 tests/runner/test_sequential_runner.py create mode 100644 tests/test_cli_logging_setup.py create mode 100644 tests/test_contrib_module.py create mode 100644 tests/test_utils.py create mode 100644 tools/license_and_headers.py diff --git a/.circleci/config.yml b/.circleci/config.yml new file mode 100644 index 0000000000..7fe6f5b952 --- /dev/null +++ b/.circleci/config.yml @@ -0,0 +1,59 @@ +version: 2 +jobs: + build_35: &DEFAULT + docker: + - image: quantumblacklabs/kedro_builder:3.5.2 + steps: + - checkout + - run: &CONDA_SETUP + name: Activate conda environment + command: | + echo ". /home/circleci/miniconda/etc/profile.d/conda.sh" >> $BASH_ENV + echo "conda deactivate; conda activate kedro_builder" >> $BASH_ENV + + - run: &PIP_SETUP + name: Install PIP dependencies + command: | + # echo python version for debugging + echo "Python version: $(python --version 2>&1)" + + # Install pip setuptools + make install-pip-setuptools + + # Install requirements + pip install -r requirements.txt -U + + # Install test requirements + pip install -r test_requirements.txt -U + - run: + name: Run pylint and flake8 + command: | + make lint + - run: + name: Run tests + command: | + make test + - run: + name: Run all end to end tests + command: | + make e2e-tests + - run: + name: Check for legal compliance + command: | + make legal + build_36: + <<: *DEFAULT + docker: + - image: quantumblacklabs/kedro_builder:3.6 + build_37: + <<: *DEFAULT + docker: + - image: quantumblacklabs/kedro_builder:3.7 + +workflows: + version: 2 + regular: + jobs: + - build_35 + - build_36 + - build_37 diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 0000000000..bff70a367c --- /dev/null +++ b/.coveragerc @@ -0,0 +1,7 @@ +[report] +fail_under=100 +show_missing=True +omit = kedro/template* +exclude_lines = + pragma: no cover + raise NotImplementedError diff --git a/.flake8 b/.flake8 new file mode 100644 index 0000000000..4fff5484f2 --- /dev/null +++ b/.flake8 @@ -0,0 +1,7 @@ +# copied from black + +[flake8] +ignore = E203, E266, E501, W503 +max-line-length = 80 +max-complexity = 18 +select = B,C,E,F,W,T4,B9 diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md new file mode 100644 index 0000000000..789b7f4f35 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug-report.md @@ -0,0 +1,47 @@ +--- +name: Bug Report +about: Create a report to help us improve +title: "" +labels: 'Issue: Bug Report' +assignees: '' + +--- + +## Description +Short description of the problem here + +## Context +How has this bug affected you? What were you trying to accomplish? + +## Steps to Reproduce + +1. [First Step] +2. [Second Step] +3. [and so on...] + +## Expected Result +Tell us what should happen + +## Actual Result +Tell us what happens instead + +``` +-- If you received an error, place it here. +``` + +``` +-- Separate them if you have more than one. +``` + +## Your Environment +Include as many relevant details about the environment you experienced the bug in + +* Kedro version used: +* Python version used: +* Operating system and version: + +## Checklist +Include labels so that we can categorise your issue + +- [ ] Add a "Component" label to the issue +- [ ] Add a "Priority" label to the issue diff --git a/.github/ISSUE_TEMPLATE/feature-request.md b/.github/ISSUE_TEMPLATE/feature-request.md new file mode 100644 index 0000000000..f507cf554d --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature-request.md @@ -0,0 +1,26 @@ +--- +name: Feature Request +about: Suggest an feature or enhancement for this project +title: "<Title>" +labels: 'Issue: Feature Request' +assignees: '' + +--- + +## Description +Is your feature request related to a problem? A clear and concise description of what the problem is: "I'm always frustrated when ..." + +## Context +Why is this change important to you? How would you use it? How can it benefit other users? + +## Possible Implementation +(Optional) Suggest an idea for implementing addition or change + +## Possible Alternatives +(Optional) Describe any alternative solutions or features you've considered. + +## Checklist +Include labels so that we can categorise your issue + +- [ ] Add a "Component" label to the issue +- [ ] Add a "Priority" label to the issue diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000000..0e6e68e331 --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,23 @@ +## Notice + +- [ ] I acknowledge and agree that, by checking this box and clicking “Submit Pull Request”: + +- I submit this contribution under the Apache 2.0 license available [here](https://www.apache.org/licenses/LICENSE-2.0.txt) and represent that I am entitled to do so on behalf of myself, my employer, or relevant third parties, as applicable. +- I certify that (a) this contribution is my original creation and / or (b) to the extent it is not my original creation, I am authorised to submit this contribution on behalf of the original creator(s) or their licensees. +- I certify that this contribution does not violate the intellectual property rights of anyone else. + +## Motivation and Context +_Why was this PR created?_ + +## How has this been tested? +_What testing strategies have you used?_ + +## Checklist + +- [ ] Read the [contributing](/CONTRIBUTING.md) guidelines +- [ ] Opened this PR as a 'Draft Pull Request' if it is work-in-progress +- [ ] Updated the documentation to reflect the code changes +- [ ] Added new entries to the `RELEASE.md` file +- [ ] Added tests to cover my changes +- [ ] Assigned myself to the PR +- [ ] Added `Type` label to the PR diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000..ce20396601 --- /dev/null +++ b/.gitignore @@ -0,0 +1,150 @@ +# CMake +cmake-build-debug/ + +## File-based project format: +*.iws + +## Plugin-specific files: + +# IntelliJ +.idea/ +*.iml +out/ + +### macOS +*.DS_Store +.AppleDouble +.LSOverride +.Trashes + +# mpeltonen/sbt-idea plugin +.idea_modules/ + +# JIRA plugin +atlassian-ide-plugin.xml + +# Crashlytics plugin (for Android Studio and IntelliJ) +com_crashlytics_export_strings.xml +crashlytics.properties +crashlytics-build.properties +fabric.properties +### Python template +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +.static_storage/ +.media/ +local_settings.py + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ + +# Visual Studio Code +.vscode/ +# end to end tests assets +kedro.db + +# Vim +*~ +.*.swo +.*.swp + +.pytest_cache/ +kedro/html +docs/tmp-build-artifacts +docs/build +docs/source/04_user_guide/source/.ipynb diff --git a/.isort.cfg b/.isort.cfg new file mode 100644 index 0000000000..12f7029a91 --- /dev/null +++ b/.isort.cfg @@ -0,0 +1,10 @@ +# copied from black + +[settings] +multi_line_output=3 +include_trailing_comma=True +force_grid_wrap=0 +use_parentheses=True +line_length=88 +skip_glob=**/template/** +known_first_party=kedro diff --git a/.pylintrc b/.pylintrc new file mode 100644 index 0000000000..8b59212147 --- /dev/null +++ b/.pylintrc @@ -0,0 +1,425 @@ +[MASTER] + +# A comma-separated list of package or module names from where C extensions may +# be loaded. Extensions are loading into the active Python interpreter and may +# run arbitrary code +extension-pkg-whitelist= + +# Add files or directories to the blacklist. They should be base names, not +# paths. +ignore=CVS + +# Add files or directories matching the regex patterns to the blacklist. The +# regex matches against base names, not paths. +ignore-patterns=kedro/template* + +# Python code to execute, usually for sys.path manipulation such as +# pygtk.require(). +#init-hook= + +# Use multiple processes to speed up Pylint. +jobs=1 + +# List of plugins (as comma separated values of python modules names) to load, +# usually to register additional checkers. +load-plugins=pylint.extensions.docparams + +# Pickle collected data for later comparisons. +persistent=yes + +# Specify a configuration file. +#rcfile= + +# Allow loading of arbitrary C extensions. Extensions are imported into the +# active Python interpreter and may run arbitrary code. +unsafe-load-any-extension=no + + +[MESSAGES CONTROL] + +# Only show warnings with the listed confidence levels. Leave empty to show +# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED +confidence= + +# Disable the message, report, category or checker with the given id(s). You +# can either give multiple identifiers separated by comma (,) or put this +# option multiple times (only on the command line, not in the configuration +# file where it should appear only once).You can also use "--disable=all" to +# disable everything first and then reenable specific checks. For example, if +# you want to run only the similarities checker, you can use "--disable=all +# --enable=similarities". If you want to run only the classes checker, but have +# no Warning level messages displayed, use"--disable=all --enable=classes +# --disable=W" +disable=ungrouped-imports,bad-continuation + +# Enable the message, report, category or checker with the given id(s). You can +# either give multiple identifier separated by comma (,) or put this option +# multiple time (only on the command line, not in the configuration file where +# it should appear only once). See also the "--disable" option for examples. +enable=useless-suppression + + +[REPORTS] + +# Python expression which should return a note less than 10 (10 is the highest +# note). You have access to the variables errors warning, statement which +# respectively contain the number of errors / warnings messages and the total +# number of statements analyzed. This is used by the global evaluation report +# (RP0004). +evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) + +# Template used to display messages. This is a python new-style format string +# used to format the message information. See doc for all details +#msg-template= + +# Set the output format. Available formats are text, parseable, colorized, json +# and msvs (visual studio).You can also give a reporter class, eg +# mypackage.mymodule.MyReporterClass. +output-format=text + +# Tells whether to display a full report or only the messages +reports=no + +# Activate the evaluation score. +score=yes + + +[REFACTORING] + +# Maximum number of nested blocks for function / method body +max-nested-blocks=5 + + +[BASIC] + +# Naming hint for argument names +argument-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct argument names +argument-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Naming hint for attribute names +attr-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct attribute names +attr-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Bad variable names which should always be refused, separated by a comma +bad-names=foo,bar,baz,toto,tutu,tata + +# Naming hint for class attribute names +class-attribute-name-hint=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ + +# Regular expression matching correct class attribute names +class-attribute-rgx=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ + +# Naming hint for class names +class-name-hint=[A-Z_][a-zA-Z0-9]+$ + +# Regular expression matching correct class names +class-rgx=[A-Z_][a-zA-Z0-9]+$ + +# Naming hint for constant names +const-name-hint=(([A-Z_][A-Z0-9_]*)|(__.*__))$ + +# Regular expression matching correct constant names +const-rgx=(([A-Z_][A-Z0-9_]*)|(__.*__))$ + +# Minimum line length for functions/classes that require docstrings, shorter +# ones are exempt. +docstring-min-length=-1 + +# Naming hint for function names +function-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct function names +function-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Good variable names which should always be accepted, separated by a comma +good-names=i,j,k,ex,Run,_ + +# Include a hint for the correct naming format with invalid-name +include-naming-hint=no + +# Naming hint for inline iteration names +inlinevar-name-hint=[A-Za-z_][A-Za-z0-9_]*$ + +# Regular expression matching correct inline iteration names +inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$ + +# Naming hint for method names +method-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct method names +method-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Naming hint for module names +module-name-hint=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ + +# Regular expression matching correct module names +module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ + +# Colon-delimited sets of names that determine each other's naming style when +# the name regexes allow several styles. +name-group= + +# Regular expression which should only match function or class names that do +# not require a docstring. +no-docstring-rgx=^_ + +# List of decorators that produce properties, such as abc.abstractproperty. Add +# to this list to register other decorators that produce valid properties. +property-classes=abc.abstractproperty + +# Naming hint for variable names +variable-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + +# Regular expression matching correct variable names +variable-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ + + +[FORMAT] + +# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. +expected-line-ending-format= + +# Regexp for a line that is allowed to be longer than the limit. +ignore-long-lines=^\s*(# )?<?https?://\S+>?$ + +# Number of spaces of indent required inside a hanging or continued line. +indent-after-paren=4 + +# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 +# tab). +indent-string=' ' + +# Maximum number of characters on a single line. +max-line-length=100 + +# Maximum number of lines in a module +max-module-lines=1000 + +# List of optional constructs for which whitespace checking is disabled. `dict- +# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}. +# `trailing-comma` allows a space between comma and closing bracket: (a, ). +# `empty-line` allows space-only lines. +no-space-check=trailing-comma,dict-separator + +# Allow the body of a class to be on the same line as the declaration if body +# contains single statement. +single-line-class-stmt=no + +# Allow the body of an if to be on the same line as the test if there is no +# else. +single-line-if-stmt=no + + +[LOGGING] + +# Logging modules to check that the string format arguments are in logging +# function parameter format +logging-modules=logging + + +[MISCELLANEOUS] + +# List of note tags to take in consideration, separated by a comma. +notes=FIXME,XXX + + +[SIMILARITIES] + +# Ignore comments when computing similarities. +ignore-comments=yes + +# Ignore docstrings when computing similarities. +ignore-docstrings=yes + +# Ignore imports when computing similarities. +ignore-imports=no + +# Minimum lines number of a similarity. +min-similarity-lines=20 + + +[SPELLING] + +# Spelling dictionary name. Available dictionaries: none. To make it working +# install python-enchant package. +spelling-dict= + +# List of comma separated words that should not be checked. +spelling-ignore-words= + +# A path to a file that contains private dictionary; one word per line. +spelling-private-dict-file= + +# Tells whether to store unknown words to indicated private dictionary in +# --spelling-private-dict-file option instead of raising a message. +spelling-store-unknown-words=no + + +[TYPECHECK] + +# List of decorators that produce context managers, such as +# contextlib.contextmanager. Add to this list to register other decorators that +# produce valid context managers. +contextmanager-decorators=contextlib.contextmanager + +# List of members which are set dynamically and missed by pylint inference +# system, and so shouldn't trigger E1101 when accessed. Python regular +# expressions are accepted. +generated-members= + +# Tells whether missing members accessed in mixin class should be ignored. A +# mixin class is detected if its name ends with "mixin" (case insensitive). +ignore-mixin-members=yes + +# This flag controls whether pylint should warn about no-member and similar +# checks whenever an opaque object is returned when inferring. The inference +# can return multiple potential results while evaluating a Python object, but +# some branches might not be evaluated, which results in partial inference. In +# that case, it might be useful to still emit no-member and other checks for +# the rest of the inferred objects. +ignore-on-opaque-inference=yes + +# List of class names for which member attributes should not be checked (useful +# for classes with dynamically set attributes). This supports the use of +# qualified names. +ignored-classes=optparse.Values,thread._local,_thread._local + +# List of module names for which member attributes should not be checked +# (useful for modules/projects where namespaces are manipulated during runtime +# and thus existing member attributes cannot be deduced by static analysis. It +# supports qualified module names, as well as Unix pattern matching. +ignored-modules= + +# Show a hint with possible names when a member name was not found. The aspect +# of finding the hint is based on edit distance. +missing-member-hint=yes + +# The minimum edit distance a name should have in order to be considered a +# similar match for a missing member name. +missing-member-hint-distance=1 + +# The total number of similar names that should be taken in consideration when +# showing a hint for a missing member. +missing-member-max-choices=1 + + +[VARIABLES] + +# List of additional names supposed to be defined in builtins. Remember that +# you should avoid to define new builtins when possible. +additional-builtins= + +# Tells whether unused global variables should be treated as a violation. +allow-global-unused-variables=yes + +# List of strings which can identify a callback function by name. A callback +# name must start or end with one of those strings. +callbacks=cb_,_cb + +# A regular expression matching the name of dummy variables (i.e. expectedly +# not used). +dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_ + +# Argument names that match this expression will be ignored. Default to name +# with leading underscore +ignored-argument-names=_.*|^ignored_|^unused_ + +# Tells whether we should check for unused import in __init__ files. +init-import=no + +# List of qualified module names which can have objects that can redefine +# builtins. +redefining-builtins-modules=six.moves,future.builtins + + +[CLASSES] + +# List of method names used to declare (i.e. assign) instance attributes. +defining-attr-methods=__init__,__new__,setUp + +# List of member names, which should be excluded from the protected access +# warning. +exclude-protected=_asdict,_fields,_replace,_source,_make + +# List of valid names for the first argument in a class method. +valid-classmethod-first-arg=cls + +# List of valid names for the first argument in a metaclass class method. +valid-metaclass-classmethod-first-arg=mcs + + +[DESIGN] + +# Maximum number of arguments for function / method +max-args=5 + +# Maximum number of attributes for a class (see R0902). +max-attributes=7 + +# Maximum number of boolean expressions in a if statement +max-bool-expr=5 + +# Maximum number of branch for function / method body +max-branches=12 + +# Maximum number of locals for function / method body +max-locals=15 + +# Maximum number of parents for a class (see R0901). +max-parents=7 + +# Maximum number of public methods for a class (see R0904). +max-public-methods=20 + +# Maximum number of return / yield for function / method body +max-returns=6 + +# Maximum number of statements in function / method body +max-statements=50 + +# Minimum number of public methods for a class (see R0903). +min-public-methods=1 + + +[IMPORTS] + +# Allow wildcard imports from modules that define __all__. +allow-wildcard-with-all=no + +# Analyse import fallback blocks. This can be used to support both Python 2 and +# 3 compatible code, which means that the block might have code that exists +# only in one or another interpreter, leading to false positives when analysed. +analyse-fallback-blocks=no + +# Deprecated modules which should not be used, separated by a comma +deprecated-modules=optparse,tkinter.tix + +# Create a graph of external dependencies in the given file (report RP0402 must +# not be disabled) +ext-import-graph= + +# Create a graph of every (i.e. internal and external) dependencies in the +# given file (report RP0402 must not be disabled) +import-graph= + +# Create a graph of internal dependencies in the given file (report RP0402 must +# not be disabled) +int-import-graph= + +# Force import order to recognize a module as part of the standard +# compatibility libraries. +known-standard-library= + +# Force import order to recognize a module as part of a third party library. +known-third-party=enchant + + +[EXCEPTIONS] + +# Exceptions that will emit a warning when being caught. Defaults to +# "Exception" +overgeneral-exceptions=Exception diff --git a/CODEOWNERS b/CODEOWNERS new file mode 100644 index 0000000000..ddb49170f5 --- /dev/null +++ b/CODEOWNERS @@ -0,0 +1,22 @@ +* @idanov @tsanikgr + +kedro/* @idanov @tsanikgr +kedro/contrib/* @idanov @tsanikgr +template/* @idanov @tsanikgr + +Makefile @idanov @tsanikgr +requirements.txt @idanov @tsanikgr +tools/* @idanov @tsanikgr + +tests/* @nakhan98 +features/* @nakhan98 +behave.ini @nakhan98 +.pylintrc @nakhan98 +.coveragerc @nakhan98 + +CODEOWNERS @idanov +CONTRIBUTING.md @idanov +README.md @idanov +RELEASE.md @idanov +LICENSE.md @idanov +legal_header.txt @idanov diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 0000000000..430cf1e59f --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,78 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +In the interest of fostering an open and welcoming environment, we as +contributors and maintainers pledge to making participation in our project and +our community a harassment-free experience for everyone, regardless of age, body +size, disability, ethnicity, sex characteristics, gender identity and expression, +level of experience, education, socio-economic status, nationality, personal +appearance, race, religion, or sexual identity and orientation. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment +include: + +* Using welcoming and inclusive language +* Being respectful of differing viewpoints and experiences +* Gracefully accepting constructive criticism +* Focusing on what is best for the community +* Showing empathy towards other community members + +Examples of unacceptable behavior by participants include: + +* The use of sexualized language or imagery and unwelcome sexual attention or + advances +* Trolling, insulting/derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or electronic + address, without explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Our Responsibilities + +Project maintainers are responsible for clarifying the standards of acceptable +behavior and are expected to take appropriate and fair corrective action in +response to any instances of unacceptable behavior. + +Project maintainers have the right and responsibility to remove, edit, or +reject comments, commits, code, wiki edits, issues, and other contributions +that are not aligned to this Code of Conduct, or to ban temporarily or +permanently any contributor for other behaviors that they deem inappropriate, +threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies both within project spaces and in public spaces +when an individual is representing the project or its community. Examples of +representing a project or community include using an official project e-mail +address, posting via an official social media account, or acting as an appointed +representative at an online or offline event. Representation of a project may be +further defined and clarified by project maintainers. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported by contacting the project team at kedro@quantumblack.com. All +complaints will be reviewed and investigated and will result in a response that +is deemed necessary and appropriate to the circumstances. The project team is +obligated to maintain confidentiality with regard to the reporter of an incident. +Further details of specific enforcement policies may be posted separately. + +Project maintainers who do not follow or enforce the Code of Conduct in good +faith may face temporary or permanent repercussions as determined by other +members of the project's leadership. + +**Investigation Timeline:** The project team will make all reasonable efforts to initiate and conclude the investigation in a timely fashion. Depending on the type of investigation the steps and timeline for each investigation will vary. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, +available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see +https://www.contributor-covenant.org/faq diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000000..5b66d7a8e5 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,159 @@ +# Introduction + +Thank you for considering contributing to Kedro! It's people like you that make Kedro such a great tool. We welcome contributions in the form of pull requests (PRs), issues or code reviews. You can add to code, [documentation](https://kedro.readthedocs.io), or simply send us spelling and grammar fixes or extra tests. Contribute anything that you think improves the community for us all! + +The following sections describe our vision and the contribution process. + +## Vision + +There is some work ahead, but Kedro aims to become the standard for developing production-ready data pipelines. To be production-ready, a data pipeline needs to be monitored, scheduled, scalable, versioned, testable and reproducible. Currently, Kedro helps you develop data pipelines that are testable, versioned, reproducible and we'll be extending our capability to cover the full set of characteristics for data pipelines over time. + +## Code of conduct + +The Kedro team pledges to foster and maintain a welcoming and friendly community in all of our spaces. All members of our community are expected to follow our [Code of Conduct](/CODE_OF_CONDUCT.md) and we will do our best to enforce those principles and build a happy environment where everyone is treated with respect and dignity. + +# Get started + +We use [GitHub Issues](https://github.com/quantumblacklabs/kedro/issues) to keep track of known bugs. We keep a close eye on them and try to make it clear when we have an internal fix in progress. Before reporting a new issue, please do your best to ensure your problem hasn't already been reported. If so, it's often better to just leave a comment on an existing issue, rather than create a new one. Old issues also can often include helpful tips and solutions to common problems. + +If you are looking for help with your code, and the [FAQs](docs/source/06_resources/01_faq.md) in our documentation haven't helped you, please consider posting a question on [Stack Overflow](https://stackoverflow.com/questions/tagged/kedro). If you tag it `kedro` and `python`, more people will see it and may be able to help. We are unable to provide individual support via email. In the interest of community engagement we also believe that help is much more valuable if it's shared publicly, so that more people can benefit from it. + +If you're over on Stack Overflow and want to boost your points, take a look at the `kedro` tag and see if you can help others out by sharing your knowledge. It's another great way to contribute. + +If you have already checked the existing issues in [GitHub issues](https://github.com/quantumblacklabs/kedro/issues) and are still convinced that you have found odd or erroneous behaviour then please file an [issue](https://github.com/quantumblacklabs/kedro). We have a template that helps you provide the necessary information we'll need in order to address your query. + +## Feature requests + +### Suggest a new feature + +If you have new ideas for Kedro functionality then please open a [GitHub issue](https://github.com/quantumblacklabs/kedro/issues) with the label `Type: Enhancement`. You can submit an issue [here](https://github.com/quantumblacklabs/kedro/issues) which describes the feature you would like to see, why you need it, and how it should work. + +### Contribute a new feature + +If you're unsure where to begin contributing to Kedro, please start by looking through the `good first issues` and `help wanted issues` on [GitHub](https://github.com/quantumblacklabs/kedro/issues). + +We focus on three areas for contribution: `core`, [`contrib`](/kedro/contrib/) or `plugin`: +- `core` refers to the primary Kedro library +- [`contrib`](/kedro/contrib/) refers to features that could be added to `core` that do not introduce too many depencies or require new Kedro CLI commands to be created e.g. adding a new dataset to the `io` data management module +- `plugin` refers to new functionality that requires a Kedro CLI command e.g. adding in Airflow functionality + +Typically, we only accept small contributions for the `core` Kedro library but accept new features as `plugin`s or additions to the [`contrib`](/kedro/contrib/) module. We regularly review [`contrib`](/kedro/contrib/) and may migrate modules to `core` if they prove to be essential for the functioning of the framework or if we believe that they are used by most projects. + +## Your first contribution + +Working on your first pull request? You can learn how from these resources: +* [First timers only](https://www.firsttimersonly.com/) +* [How to contribute to an open source project on GitHub](https://egghead.io/courses/how-to-contribute-to-an-open-source-project-on-github) + + +### Guidelines + + - Aim for cross-platform compatibility on Windows, macOS and Linux + - We use [Anaconda](https://www.anaconda.com/distribution/) as a preferred virtual environment + - We use [SemVer](https://semver.org/) for versioning + +Our code is designed to be compatible with Python 3.5 onwards and our style guidelines are (in cascading order): + +* [PEP 8 conventions](https://www.python.org/dev/peps/pep-0008/) for all Python code +* [Google docstrings](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) for code comments +* [PEP 484 type hints](https://www.python.org/dev/peps/pep-0484/) for all user-facing functions / class methods e.g. + +``` +def count_truthy(elements: List[Any]) -> int: + return sum(1 for elem in elements if element) +``` + +> *Note:* We only accept contributions under the Apache 2.0 license and you should have permission to share the submitted code. + +### Branching conventions +We use a branching model that helps us keep track of branches in a logical, consistent way. All branches should have the hyphen-separated convention of: `<type-of-change>/<short-description-of-change>` e.g. `contrib/io-dataset` + +| Types of changes | Description | +| ---------------- | ---------------------------------------------------------------------------- | +| `contrib` | Changes under `contrib/` and has no side-effects to other `contrib/` modules | +| `docs` | Changes to the documentation under `docs/source/` | +| `feature` | Non-breaking change which adds functionality | +| `fix` | Non-breaking change which fixes an issue | +| `tests` | Changes to project unit `tests/` and / or integration `features/` tests | + +## `core` contribution process + +Small contributions are accepted for the `core` library: + + 1. Fork the project + 2. Develop your contribution in a new branch and open a PR against the `develop` branch + 3. Make sure the CI builds are green (have a look at the section [Running checks locally](/CONTRIBUTING.md#running-checks-locally) below) + 4. Update the PR according to the reviewer's comments + +## `contrib` contribution process + +You can add new work to `contrib` if you do not need to create a new Kedro CLI command: + + 1. Create an [issue](https://github.com/quantumblacklabs/kedro/issues) describing your contribution + 2. Fork the project and work in [`contrib`](/kedro/contrib/) + 3. Develop your contribution in a new branch and open a PR against the `develop` branch + 4. Make sure the CI builds are green (have a look at the section [Running checks locally](CONTRIBUTING.md#ci--cd-and-running-checks-locally) below) + 5. Include a `README.md` with instructions on how to use your contribution + 6. Update the PR according to the reviewer's comments + +## `plugin` contribution process + +The functionality of Kedro can be extended using its `plugin` framework, which is designed to reduce the complexity involved in creating new features for Kedro while allowing you to inject additional commands into the CLI. See the [`plugin` development documentation](https://kedro.readthedocs.io/en/latest/04_user_guide/09_developing_plugins.html) for guidance on how to design and develop a Kedro `plugin`. + +When you are ready to submit your code: + + 1. Create a separate repository using our naming convention for `plugin`s (`kedro-<plugin-name>`) + 2. Choose a command approach, plugins can have `global` and / or `project` commands + - All `global` commands should be provided as a single `click` group + - All `project` commands should be provided as another `click` group + + - The `click` groups are declared through the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) + 3. Include a `README.md` describing your `plugin`'s functionality and all dependencies that should be included + 4. Include an Apache 2.0 License + +## CI / CD and running checks locally +To run E2E tests you need to install the test requirements which includes `behave`, do this using the following command: + +```bash +pip install -r test_requirements.txt +``` + +### Running checks locally + +All checks run by our CI / CD servers can be run locally on your computer. + +#### PEP-8 Standards (`pylint` and `flake8`) + +```bash +make lint +``` + +#### Unit tests, 100% coverage (`pytest`, `pytest-cov`) + +```bash +make test +``` + +> Note: We place [conftest.py](https://docs.pytest.org/en/latest/fixture.html#conftest-py-sharing-fixture-functions) files in some test directories to make fixtures reusable by any tests in that directory. If you need to see which test fixtures are available and where they come from, you can issue: + +```bash +pytest --fixtures path/to/the/test/location.py +``` + +#### End-to-end tests (`behave`) + +```bash +behave +``` + +#### Others + +Our CI / CD also checks that `kedro` installs cleanly on a fresh Python virtual environment, a task which depends on successfully building the docs: + +```bash +make build-docs +``` + +This command will only work on Unix-like systems and requires `pandoc` to be installed. + +> ❗ Running `make build-docs` in a Python 3.5 environment may sometimes yield multiple warning messages like the following: `MemoryDataSet.md: WARNING: document isn't included in any toctree`. You can simply ignore them or switch to Python 3.6+ when building documentation. diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000000..2c3012a46f --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,6 @@ +include README.md +include LICENSE.md +include legal_header.txt +include requirements.txt +include kedro/config/logging.yml +recursive-include template * diff --git a/Makefile b/Makefile new file mode 100644 index 0000000000..115cc87c8a --- /dev/null +++ b/Makefile @@ -0,0 +1,37 @@ +install: docs/build/html/index.html + cp -r docs/build/html kedro + pip install . + +clean: + rm -rf build dist docs/build kedro/html pip-wheel-metadata + find . -regex ".*/__pycache__" -exec rm -rf {} + + find . -regex ".*\.egg-info" -exec rm -rf {} + + +docs/build/html/index.html: build-docs + +install-pip-setuptools: + python -m pip install -U "pip>=18.0, <19.0" "setuptools>=38.0, <39.0" wheel + +legal: + python tools/license_and_headers.py + +lint: + isort + pylint -j 0 --disable=unnecessary-pass kedro + pylint -j 0 --disable=missing-docstring,redefined-outer-name,no-self-use,invalid-name tests + pylint -j 0 --disable=missing-docstring,no-name-in-module features + flake8 kedro tests features --exclude kedro/template* + +test: + pytest tests + +e2e-tests: + behave + +SPHINXPROJ = Kedro + +build-docs: + ./docs/build-docs.sh + +package: clean install + python setup.py sdist bdist_wheel diff --git a/RELEASE.md b/RELEASE.md new file mode 100644 index 0000000000..1beed647b2 --- /dev/null +++ b/RELEASE.md @@ -0,0 +1,13 @@ +# Release 0.14.0: + +The initial release of Kedro. + +## Thanks to our main contributors + +Nikolaos Tsaousis, Ivan Danov, Dmitrii Deriabin, Gordon Wrigley, Yetunde Dada, Nasef Khan, Kiyohito Kunii, Nikolaos Kaltsas, Meisam Emamjome, Peteris Erins, Lorena Balan + +## Thanks for supporting contributions + +Jo Stichbury, Aris Valtazanos, Fabian Peters, Guilherme Braccialli, Joel Schwarzmann, Miguel Beltre, Mohammed ElNabawy, Deepyaman Datta, Shubham Agrawal, Oleg Andreyev, Mayur Chougule, William Ashford, Ed Cannon, Nikhilesh Nukala, Sean Bailey, Vikram Tegginamath, Thomas Huijskens, Musa Bilal + +We are also grateful to everyone who advised and supported us, filed issues or helped resolve them, asked and answered questions and were part of inspiring discussions. diff --git a/appveyor.yml b/appveyor.yml new file mode 100644 index 0000000000..341e14ce8d --- /dev/null +++ b/appveyor.yml @@ -0,0 +1,43 @@ +image: Visual Studio 2017 + +environment: + # For debugging: https://www.appveyor.com/docs/how-to/rdp-to-build-worker/ + # APPVEYOR_RDP_PASSWORD: <your_password> + + matrix: + - PYTHON_VERSION: 3.5.2 + MINICONDA3: C:\Miniconda3-x64 + PYTHON_ARCH: "64" + + - PYTHON_VERSION: 3.6 + MINICONDA3: C:\Miniconda3-x64 + PYTHON_ARCH: "64" + + - PYTHON_VERSION: 3.7.2 + MINICONDA3: C:\Miniconda3-x64 + PYTHON_ARCH: "64" + +version: '1.0.{build}' + +init: + # Linux containers on windows only supported in premium: + # https://github.com/appveyor-tests/docker-ce/blob/master/appveyor.yml + # - docker-switch-linux + +cache: + - '%LOCALAPPDATA%\pip\Cache -> requirements.txt, test_requirements.txt' + + +install: + - "set PATH=%MINICONDA%;%MINICONDA3%\\Scripts;%PATH%" + - conda create --name kedro python=%PYTHON_VERSION% -y + - activate kedro + - python -m pip install -U pip + - choco install make + - make install-pip-setuptools + - pip install -r test_requirements.txt -U + +build: false + +test_script: + - behave --verbose diff --git a/behave.ini b/behave.ini new file mode 100644 index 0000000000..b7a1070aae --- /dev/null +++ b/behave.ini @@ -0,0 +1,9 @@ +[behave] + +# These commands force behave to display all output regardless of the outcome of the test +stderr_capture=False +stdout_capture=False + +# Single line print statements will not be shown even if output capture is off, +# to avoid that behaviour either add a new line at the end of the string ('\n') or disable color with: +# color=False diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000000..bb7b8855d3 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,47 @@ +![Kedro Logo Banner](https://github.com/quantumblacklabs/kedro/blob/master/img/kedro_banner.jpg) + +# Kedro documentation style guide + +This is the style guide we have used to create [documentation about Kedro](https://kedro.readthedocs.io/en/latest/). + +When you are writing documentation for your own project, you may find it useful to follow these rules. We will also ask anyone kind enough to contribute to the Kedro documentation to follow our preferred style to maintain consistency and simplicity. However, we are not over-proscriptive and are happy to take contributions regardless, as long as you are happy if we edit your text to follow these rules. + +## Guidelines + +Please follow these simple rules: + +* Use [UK English](https://www.britishcouncilfoundation.id/en/english/articles/british-and-american-english) +* Use Markdown formatting. If you are unsure of this, here is a useful [Cheatsheet and sandbox](https://daringfireball.net/projects/markdown/dingus) +* Use sentence case in titles. We prefer this, _"Sentence case only has one capital except for names like Kedro"_ and not this, _"Title Case Means Capitalise Every Word"_ +* Mark code blocks with the appropriate language to enable [syntax highlighting](https://support.codebasehq.com/articles/tips-tricks/syntax-highlighting-in-markdown) +* We use a `bash` lexer for all codeblocks that represent the terminal, and we don't include the prompt +* Bullet points start with capitals and do not end with full-stops +* Prefer to use symbols for bullets instead of numbers unless you are specifically giving a sequence of instructions +* Keep your sentences short and easy to read +* Do not plagiarise other authors. Link to their text and credit them + +If you are in doubt, take a look at how we've written the Kedro documentation. If you are unsure of something, just do what you can in your documentation contribution, and note any queries. We can always iterate the submission with you when you create a pull request. + +## How do I build your documentation? + +If you have installed Kedro, the documentation can be found by running `kedro docs` from the command line or following [this link](https://kedro.readthedocs.io/en/latest/). + +If you make changes to our documentation, which is stored in the `docs/` folder of your Kedro installation, you can rebuild them within a Unix-like environment (with `pandoc` installed) with: + +```bash +make build-docs +``` + +We use the [Sphinx](https://www.sphinx-doc.org) framework to build our documentation. The resulting HTML files can be found in `docs/build/html/`. + +If you are a Windows user, you can still contribute to the documentation, but you cannot rebuild it. This is fine! As long as you have made an effort to verify that your Markdown is rendering correctly, and you have followed our basic guidelines above, we will be happy to take your final draft as a pull request and rebuild it for you. + +## Can I contribute to Kedro documentation? + +Yes! If you want to fix or extend our documentation, you'd be welcome to do so. When you are ready to submit, please read the full guide to [contributing to Kedro](../CONTRIBUTING.md). + +Before you contribute any documentation, please do read the above rules for styling your Markdown. If there's something you think is missing or incorrect, and you'd like to get really meta and contribute to our style guide, please branch this file and submit a PR! + +## What licence do you use? + +Kedro is licensed under the [Apache 2.0](../LICENSE.md) License. diff --git a/docs/build-docs.sh b/docs/build-docs.sh new file mode 100755 index 0000000000..1415e305e2 --- /dev/null +++ b/docs/build-docs.sh @@ -0,0 +1,46 @@ +#!/usr/bin/env bash + +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +set -e + +rm -rf kedro/html +pip install -e ".[docs]" +pip install -r test_requirements.txt +python -m ipykernel install --user --name=kedro --display-name=Kedro +rm -rf docs/tmp-build-artifacts +cp -a docs/source docs/tmp-build-artifacts +mv docs/tmp-build-artifacts/05_api_docs/* docs/tmp-build-artifacts/ +rm -rf docs/tmp-build-artifacts/05_api_docs/ +sphinx-apidoc --module-first -o docs/tmp-build-artifacts kedro +rm -rf docs/build +mkdir -p docs/build/html/_static +cp -r docs/source/css docs/build/html/_static +sphinx-build docs/tmp-build-artifacts docs/build/html -c docs/ -E -a +rm -rf docs/tmp-build-artifacts diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 0000000000..69cad540af --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,420 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +# +# Kedro documentation build configuration file, created by +# sphinx-quickstart on Mon Dec 18 11:31:24 2017. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import importlib +import re +import sys +from inspect import getmembers, isclass, isfunction +from typing import List, Tuple + +from click import secho, style + +from kedro import __version__ as release +from recommonmark.transform import AutoStructify + +# -- Project information ----------------------------------------------------- + +project = "Kedro" +copyright = "2018-2019, QuantumBlack Visual Analytics Limited" +author = "QuantumBlack" + +# The short X.Y version. +version = re.match(r"^([0-9]+\.[0-9]+).*", release).group(1) + +# -- General configuration --------------------------------------------------- + +# If your documentation needs a minimal Sphinx version, state it here. +# +# needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.napoleon", + "sphinx_autodoc_typehints", + "sphinx.ext.doctest", + "sphinx.ext.todo", + "sphinx.ext.coverage", + "sphinx.ext.mathjax", + "sphinx.ext.ifconfig", + "sphinx.ext.viewcode", + "nbsphinx", + "recommonmark", + "sphinx_copybutton", +] + +# enable autosummary plugin (table of contents for modules/classes/class +# methods) +autosummary_generate = True + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# +source_suffix = {".rst": "restructuredtext", ".md": "markdown"} + +# The master toctree document. +master_doc = "index" + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This pattern also affects html_static_path and html_extra_path . +exclude_patterns = ["**cli*", "**.ipynb_checkpoints", "_templates", "modules.rst"] + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# -- Options for HTML output ------------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = "sphinx_rtd_theme" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +# +html_theme_options = {"collapse_navigation": False, "style_external_links": True} + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +# html_static_path = ['_static'] + +# Custom sidebar templates, must be a dictionary that maps document names +# to template names. +# +# The default sidebars (for documents that don't match any pattern) are +# defined by theme itself. Builtin themes are using these templates by +# default: ``['localtoc.html', 'relations.html', 'sourcelink.html', +# 'searchbox.html']``. +# +# html_sidebars = {} + +html_show_sourcelink = False + +# -- Options for HTMLHelp output --------------------------------------------- + +# Output file base name for HTML help builder. +htmlhelp_basename = "Kedrodoc" + +# -- Options for LaTeX output ------------------------------------------------ + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # + # 'preamble': '', + # Latex figure (float) alignment + # + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + (master_doc, "Kedro.tex", "Kedro Documentation", "QuantumBlack", "manual") +] + +# -- Options for manual page output ------------------------------------------ + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [(master_doc, "kedro", "Kedro Documentation", [author], 1)] + +# -- Options for Texinfo output ---------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + master_doc, + "Kedro", + "Kedro Documentation", + author, + "Kedro", + "Kedro is a Data Science framework for QuantumBlack-led projects.", + "Data-Science", + ) +] + +# -- Options for todo extension ---------------------------------------------- + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = False + +# -- Extension configuration ------------------------------------------------- + +# nbsphinx_prolog = """ +# see here for prolog/epilog details: +# https://nbsphinx.readthedocs.io/en/0.3.1/prolog-and-epilog.html +# """ + +nbsphinx_epilog = """ +.. note:: + + Found a bug, or didn't find what you were looking for? 🙏 `Please file a + ticket <https://github.com/quantumblacklabs/kedro/issues/new/choose>`_ +""" + +# -- NBconvert kedro config ------------------------------------------------- +nbsphinx_kedro_name = "kedro" + +# -- Kedro specific configuration ----------------------------------------- +KEDRO_MODULES = [ + "kedro.io", + "kedro.pipeline", + "kedro.runner", + "kedro.config", + "kedro.contrib.io", + "kedro.contrib.colors.logging", + "kedro.contrib.decorators", +] + + +def get_classes(module): + importlib.import_module(module) + return [obj[0] for obj in getmembers(sys.modules[module], lambda obj: isclass(obj))] + + +def get_functions(module): + importlib.import_module(module) + return [ + obj[0] for obj in getmembers(sys.modules[module], lambda obj: isfunction(obj)) + ] + + +def remove_arrows_in_examples(lines): + for i, line in enumerate(lines): + lines[i] = line.replace(">>>", "") + + +def autolink_replacements(what: str) -> List[Tuple[str, str, str]]: + """ + Create a list containing replacement tuples of the form: + (``regex``, ``replacement``, ``obj``) for all classes and methods which are + imported in ``KEDRO_MODULES`` ``__init__.py`` files. The ``replacement`` + is a reStructuredText link to their documentation. + + For example, if the docstring reads: + This LambdaDataSet loads and saves ... + + Then the word ``LambdaDataSet``, will be replaced by + :class:`~kedro.io.LambdaDataSet` + + Works for plural as well, e.g: + These ``LambdaDataSet``s load and save + + Will convert to: + These :class:`kedro.io.LambdaDataSet`\s load and save + + Args: + what: The objects to create replacement tuples for. Possible values + ["class", "func"]. + + Returns: + A list of tuples: (regex, replacement, obj), for all "what" objects + imported in __init__.py files of ``KEDRO_MODULES``. + + """ + replacements = [] + suggestions = [] + for module in KEDRO_MODULES: + if what == "class": + objects = get_classes(module) + elif what == "func": + objects = get_functions(module) + + # Look for recognised class names/function names which are + # surrounded by double back-ticks + if what == "class": + # first do plural only for classes + replacements += [ + ( + r"``{}``s".format(obj), + ":{}:`~{}.{}`\\\\s".format(what, module, obj), + obj, + ) + for obj in objects + ] + + # singular + replacements += [ + (r"``{}``".format(obj), ":{}:`~{}.{}`".format(what, module, obj), obj) + for obj in objects + ] + + # Look for recognised class names/function names which are NOT + # surrounded by double back-ticks, so that we can log these in the + # terminal + if what == "class": + # first do plural only for classes + suggestions += [ + (r"(?<!\w|`){}s(?!\w|`{{2}})".format(obj), "``{}``s".format(obj), obj) + for obj in objects + ] + + # then singular + suggestions += [ + (r"(?<!\w|`){}(?!\w|`{{2}})".format(obj), "``{}``".format(obj), obj) + for obj in objects + ] + + return replacements, suggestions + + +def log_suggestions(lines: List[str], name: str): + """Use the ``suggestions`` list to log in the terminal places where the + developer has forgotten to surround with double back-ticks class + name/function name references. + + Args: + lines: The docstring lines. + name: The name of the object whose docstring is contained in lines. + """ + title_printed = False + + for i in range(len(lines)): + if ">>>" in lines[i]: + continue + + for existing, replacement, obj in suggestions: + new = re.sub(existing, r"{}".format(replacement), lines[i]) + if new == lines[i]: + continue + if ":rtype:" in lines[i] or ":type " in lines[i]: + continue + + if not title_printed: + secho("-" * 50 + "\n" + name + ":\n" + "-" * 50, fg="blue") + title_printed = True + + print( + "[" + + str(i) + + "] " + + re.sub(existing, r"{}".format(style(obj, fg="magenta")), lines[i]) + ) + print( + "[" + + str(i) + + "] " + + re.sub(existing, r"``{}``".format(style(obj, fg="green")), lines[i]) + ) + + if title_printed: + print("\n") + + +def autolink_classes_and_methods(lines): + for i in range(len(lines)): + if ">>>" in lines[i]: + continue + + for existing, replacement, obj in replacements: + lines[i] = re.sub(existing, r"{}".format(replacement), lines[i]) + + +def autodoc_process_docstring(app, what, name, obj, options, lines): + try: + # guarded method to make sure build never fails + log_suggestions(lines, name) + autolink_classes_and_methods(lines) + except Exception as e: + print( + style( + "Failed to check for class name mentions that can be " + "converted to reStructuredText links in docstring of {}. " + "Error is: \n{}".format(name, str(e)), + fg="red", + ) + ) + + remove_arrows_in_examples(lines) + + +def skip(app, what, name, obj, skip, options): + if name == "__init__": + return False + return skip + + +def setup(app): + app.connect("autodoc-process-docstring", autodoc_process_docstring) + app.connect("autodoc-skip-member", skip) + app.add_stylesheet("css/qb1-sphinx-rtd.css") + # fix a bug with table wraps in Read the Docs Sphinx theme: + # https://rackerlabs.github.io/docs-rackspace/tools/rtd-tables.html + app.add_stylesheet("css/theme-overrides.css") + # add "Copy" button to code snippets + app.add_stylesheet("css/copybutton.css") + # enable rendering RST tables in Markdown + app.add_config_value("recommonmark_config", {"enable_eval_rst": True}, True) + app.add_transform(AutoStructify) + + +def fix_module_paths(): + """ + This method fixes the module paths of all class/functions we import in the + __init__.py file of the various kedro submodules. + """ + for kedro_module in KEDRO_MODULES: + mod = importlib.import_module(kedro_module) + mod.__all__ = get_classes(kedro_module) + get_functions(kedro_module) + + +# (regex, restructuredText link replacement, object) list +replacements = [] + +# (regex, class/function name surrounded with back-ticks, object) list +suggestions = [] + +try: + # guarded code to make sure build never fails + replacements_f, suggestions_f = autolink_replacements("func") + replacements_c, suggestions_c = autolink_replacements("class") + replacements = replacements_f + replacements_c + suggestions = suggestions_f + suggestions_c +except Exception as e: + print( + style( + "Failed to create list of (regex, reStructuredText link " + "replacement) for class names and method names in docstrings. " + "Error is: \n{}".format(str(e)), + fg="red", + ) + ) + +fix_module_paths() diff --git a/docs/source/01_introduction/01_introduction.md b/docs/source/01_introduction/01_introduction.md new file mode 100644 index 0000000000..b1d604b608 --- /dev/null +++ b/docs/source/01_introduction/01_introduction.md @@ -0,0 +1,25 @@ +# Introduction + +## What is Kedro? + +Kedro is an open source development workflow tool that helps structure reproducible, scaleable, deployable, robust and versioned data pipelines. It is applicable to a wide range of projects, from single user projects running on a local environment, when you want to have an organised way of working, to enterprise-level team projects, when your team needs to work in a structured way and reduce the effort required to take machine learning models into the production environment. For the source code, take a look at the [Kedro repository on Github](https://github.com/quantumblacklabs/kedro). + +## Learning about Kedro + +In the next few chapters, you will learn how to [install](../02_getting_started/01_prerequisites.md) and set up Kedro to build your own production-ready data pipelines. + +Once you are set up, to get a feel for Kedro, we suggest working through our examples, including an entry-level ["Hello World"](../02_getting_started/04_hello_world.md) and a more detailed [Spaceflights](../03_tutorial/02_tutorial_template.md) tutorial. You will get hands-on experience and learn the basics of Kedro. + +Advanced users looking for in-depth information should consult the [User Guide](../04_user_guide/03_configuration.md). + +You can also check out the resources section for answers to [frequently asked questions](../06_resources/01_faq.md) and the [API reference documentation](/kedro.rst) to find further information. + +## Assumptions + +We have designed the documentation in general, and the tutorial in particular, for beginners to get started creating their own Kedro projects in Python. If you have elementary knowledge using Python then you might find the Kedro learning curve more challenging. However, we have simplified the tutorial by providing all Python functions required to create your data pipelines. + +> +> *Note:* There are a number of excellent online resources for learning Python, but be aware that you should choose those that reference Python 3, as Kedro is built for Python 3.5+. There are many curated lists of online resources, such as: +> +> - [Official Python programming language website](https://www.python.org/) +> - [List of free programming books and tutorials](https://github.com/EbookFoundation/free-programming-books/blob/master/free-programming-books.md#python) diff --git a/docs/source/02_getting_started/01_prerequisites.md b/docs/source/02_getting_started/01_prerequisites.md new file mode 100644 index 0000000000..f77e8d6bb4 --- /dev/null +++ b/docs/source/02_getting_started/01_prerequisites.md @@ -0,0 +1,63 @@ +# Installation prerequisites + +Kedro supports macOS, Linux and Windows (7 / 8 / 10 and Windows Server 2016+). If you encounter any problems on these platforms, please check the [FAQ](../06_resources/01_faq.md), and / or the Kedro community support on [Stack Overflow](https://stackoverflow.com/questions/tagged/kedro). + +### macOS / Linux + +In order to work effectively with Kedro projects, we highly recommend you download and install [Anaconda](https://www.anaconda.com/download/#macos) (Python 3.x version) and [Java](https://www.oracle.com/technetwork/java/javase/downloads/index.html) (if using PySpark). + +### Windows + +You will require admin rights to complete the installation of the following tools on your machine: + +* [Anaconda](https://www.anaconda.com/download/#windows) (Python 3.x version) +* [Java](https://www.oracle.com/technetwork/java/javase/downloads/index.html) (if using PySpark) + +## Python virtual environments + +Python's virtual environments can be used to isolate the dependencies of different individual projects, avoiding Python version conflicts. They also prevent permission issues for non-administrator users. +For more information, please refer to this [guide](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html). + +### Using `conda` + +We recommend creating your virtual environment using [`conda`](https://conda.io/docs/), a package and environment manager program bundled with Anaconda. + +#### Create an environment with `conda` + +Use [`conda create`](https://conda.io/docs/user-guide/tasks/manage-environments.html#id1) to create a python 3.6 environment called `environment_name` by running: + +```bash +conda create --name environment_name python=3.6 +``` + +#### Activate an environment with `conda` + +Use [`conda activate`](https://conda.io/docs/user-guide/tasks/manage-environments.html#activating-an-environment) to activate an environment called `environment_name` by running: + +```bash +conda activate environment_name +``` + +When you want to deactivate the environment you are using with Kedro, you can use [`conda deactivate`](https://conda.io/docs/user-guide/tasks/manage-environments.html#id6): + +```bash +conda deactivate +``` + +#### Other `conda` commands + +To list all existing `conda` environments: + +```bash +conda env list +``` + +To delete an environment: + +```bash +conda remove --name environment_name --all +``` + +### Alternatives to `conda` + +If you prefer an alternative environment manager such as [`venv`](https://docs.python.org/3/library/venv.html), [`pyenv`](https://github.com/pyenv/pyenv), etc, please read their respective documentation. diff --git a/docs/source/02_getting_started/02_install.md b/docs/source/02_getting_started/02_install.md new file mode 100644 index 0000000000..e8db143d4c --- /dev/null +++ b/docs/source/02_getting_started/02_install.md @@ -0,0 +1,22 @@ +## Installation guide + +We recommend installing Kedro in a new virtual environment for *each* of your projects. To install Kedro: + +```bash +pip install kedro +``` + +To check that Kedro is installed: + +```bash +kedro info +``` + +You should see an ASCII art graphic and the Kedro version number. For example: + +![](images/kedro_graphic.png) + +If you do not see the graphic displayed, or have any issues with your installation, see the [FAQs](../06_resources/01_faq.md) for help. + + + diff --git a/docs/source/02_getting_started/03_new_project.md b/docs/source/02_getting_started/03_new_project.md new file mode 100644 index 0000000000..3ae405a07d --- /dev/null +++ b/docs/source/02_getting_started/03_new_project.md @@ -0,0 +1,59 @@ +# Creating a new project + +We recommend that you create projects according to the Kedro default project template, which is ideal for analytics projects and comes with a default folder structure for storing datasets, folders for notebooks, configuration and source code. + +Projects can be created interactively or by referencing a configuration file. + +## Create a new project interactively +First, select the directory in which you want to work, and if you are using `conda`, make sure you have the [correct environment](../02_getting_started/01_prerequisites.md#Python-virtual-environments) activated: + +```bash +conda activate environment_name +``` +You are then ready to create a new project: + +```bash +kedro new +``` + +You will need to provide the following variables: + +* `project_name` - A human readable name for your new project +* `repo_name` - A name for the directory that holds your project repository +* `python_package` - A Python package name for your project package (see [Python package naming conventions](https://www.python.org/dev/peps/pep-0008/#package-and-module-names)) +* `include_example` - An affirmative for whether you want to include example code + +`kedro new` will create a new project in your current working directory (`<current_dir>/<repo_name>/`). If you entered `Y` to include an example then your new project template contains a small example to get you going. See the [Hello World example](../02_getting_started/04_hello_world.md) for further details. + + +## Create a new project from a configuration file + +You can also create a new project from a configuration file by running: + +```bash +kedro new --config config.yml +``` + +The configuration file (`config.yml`) must contain the `project_name`, `repo_name`, `python_package` and `include_example` (Boolean value) variables as described [above](../02_getting_started/03_new_project.md#Create-a-new-project-interactively) as well as `output_dir` - path to the directory where the project folder will be created. + +Here is an example `config.yml`, which assumes that a directory named `~/code` already exists: + +```yaml +output_dir: ~/code +project_name: Getting Started +repo_name: getting-started +python_package: getting_started +include_example: true +``` + +`output_dir` can be set to `~` for home directory, or `.` for the current working directory. + +## Starting with an existing project + +If you want to work with a Kedro project that has already been created, you may use `git clone` to directly clone it. You don’t need to create a new Kedro project. + +To make sure you have the required dependencies, run (in your virtual environment): + +```bash +pip install -r src/requirements.txt +``` diff --git a/docs/source/02_getting_started/04_hello_world.md b/docs/source/02_getting_started/04_hello_world.md new file mode 100644 index 0000000000..5df4bfe02a --- /dev/null +++ b/docs/source/02_getting_started/04_hello_world.md @@ -0,0 +1,159 @@ +# A "Hello World" example + +To learn how basic Kedro projects work, you can [create a project interactively](./03_new_project.md#create-a-new-project-interactively) and explore it as you read this section. Feel free to name your project as you like, but this guide will assume the project is named `getting-started`. + +Be sure to enter `Y` to include Kedro's example so your new project template contains the well-known [Iris dataset](https://archive.ics.uci.edu/ml/datasets/iris), to get you started. + +The Iris dataset, generated in 1936 by the British statistician and biologist Ronald Fisher, is a simple, but frequently-referenced dataset. It contains 150 samples in total, comprising 50 samples of 3 different species of Iris plant (Iris Setosa, Iris Versicolour and Iris Virginica). For each sample, the flower measurements are recorded for the sepal length, sepal width, petal length and petal width. + +![](images/iris_measurements.png) + +Classification is a method, within the context of machine learning, to determine what group some object belongs to based on known categorisation of similar objects. + +The Iris dataset can be used by a machine learning model to illustrate classification. The classification algorithm, once trained on data with known values of species, takes an input of sepal and petal measurements, and compares them to the values it has stored from its training data. It will then output a predictive classification of the Iris species. + + +## Project directory structure + +The project directory will be structured as shown. You are free to adapt the folder structure to your project's needs, but the example shows a convenient starting point and some best-practices: + +``` +getting-started # Parent directory of the template +├── .gitignore # Prevent staging of unnecessary files to git +├── kedro_cli.py # A collection of Kedro command line interface (CLI) commands +├── README.md # Project README +├── .ipython # IPython startup scripts +├── conf # Project configuration files +├── data # Local project data (not committed to version control) +├── docs # Project documentation +├── logs # Project output logs (not committed to version control) +├── notebooks # Project related Jupyter notebooks +├── references # Sharable project references (tables, pdfs, etc.) +├── results # Shareable results +└── src # Project source code +``` + +If you opted to include Kedro's built-in example when you [created the project](./03_new_project.md) then the `conf/`, `data/` and `src/` directories will be pre-populated with an example configuration, input data and Python source code respectively. + +## Project source code + +The project's source code can be found in the `src` directory. It contains 2 subfolders: + +* `getting_started/` - this is the Python package for your project: + + * `nodes/example.py` - Example node functions, which perform the actual operations on the data (more on this in the [Example pipeline](04_hello_world.md#example-pipeline) below) + * `pipeline.py` - Where the pipeline is created from the above nodes to form the business logic flow + * `run.py` - The main entry point of the project, which brings all the components together and runs the pipeline + +* `tests/`: This is where you should keep the project unit tests. Newly generated projects are preconfigured to run these tests using `pytest`. To kick off project testing, simply run the following from the project's root directory: + +```bash +kedro test +``` + +### Writing code + +Use the `notebooks` folder for experimental code and move the code to `src/` as it develops. + +## Project components + +A `kedro` project consists of the following main components: + +```eval_rst ++--------------+----------------------------------------------------------------------+ +| Component | Description | ++==============+======================================================================+ +| Data Catalog | A collection of datasets that can be used to form the data pipeline. | +| | Each dataset provides :code:`load` and :code:`save` capabilities for | +| | a specific data type, e.g. :code:`CSVS3DataSet` loads and saves data | +| | to a csv file in S3. | ++--------------+----------------------------------------------------------------------+ +| Pipeline | A collection of nodes. A pipeline takes care of node dependencies | +| | and execution order. | ++--------------+----------------------------------------------------------------------+ +| Node | A Python function which executes some business logic, e.g. data | +| | cleaning, dropping columns, validation, model training, scoring, etc.| ++--------------+----------------------------------------------------------------------+ +| Runner | An object that runs the :code:`kedro` pipeline using the specified | +| | data catalog. Currently :code:`kedro` supports 2 runner types: | +| | :code:`SequentialRunner` and :code:`ParallelRunner`. | ++--------------+----------------------------------------------------------------------+ +``` + + +## Data + +You can store data under the appropriate layer in the `data` folder. We recommend that all raw data should go into `raw` and processed data should move to other layers according to [data engineering convention](../06_resources/01_faq.md#what-is-data-engineering-convention). + +## Example pipeline + +The `getting-started` project contains a pipeline with example node functions, which can be found in `src/getting_started/nodes/example.py`. The following nodes are provided: + +```eval_rst ++-----------------+----------------------------------------------------------------+--------------------------+ +| Node | Description | Node Function Name | ++=================+================================================================+==========================+ +| Split data | Splits the example | :code:`split_data` | +| | `Iris dataset <https://archive.ics.uci.edu/ml/datasets/iris>`_ | | +| | into train and test samples | | ++-----------------+----------------------------------------------------------------+--------------------------+ +| Train model | Trains a simple multi-class logistic regression model | :code:`train_model` | ++-----------------+----------------------------------------------------------------+--------------------------+ +| Predict | Makes class predictions given a pre-trained model and a test | :code:`predict` | +| | set | | ++-----------------+----------------------------------------------------------------+--------------------------+ +| Report accuracy | Reports the accuracy of the predictions performed by the | :code:`report_accuracy` | +| | previous node | | ++-----------------+----------------------------------------------------------------+--------------------------+ +``` + +Node execution order is determined by resolving the input and output data dependencies between the nodes and *not* by the order in which the nodes were passed into the pipeline. + +## Configuration + +There are two default folders for adding configuration - `conf/base/` and `conf/local/`: + +* `conf/base/` - Used for project-specific configuration +* `conf/local/` - Used for access credentials, personal IDE configuration or other sensitive / personal content + +### Project-specific configuration + +There are three files used for project-specific configuration: + +* `catalog.yml` - The Data Catalog allows you to define the file paths and loading / saving configuration required for different datasets +* `logging.yml` - Uses Python's default [`logging`](https://docs.python.org/3/library/logging.html) library to set up logging +* `parameters.yml` - Allows you to define parameters for machine learning experiments e.g. train / test split and number of iterations + +### Sensitive or personal configuration + +As we described above, any access credentials, personal IDE configuration or other sensitive and personal content should be stored in `conf/local/`. By default, `credentials.yml` is generated in `conf/base/` (because `conf/local/` is ignored by `git`) and to populate and use the file, you should first move it to `conf/local/`. Further safeguards for preventing sensitive information from being leaked onto `git` are discussed in the [FAQs](../06_resources/01_faq.md#what-best-practice-should-i-follow-to-avoid-leaking-confidential-data). + + +## Running the example + +In order to run the `getting-started` project, simply execute the following from the root project directory: + +```bash +kedro run +``` + +This command calls the `main()` function from `src/getting_started/run.py`, which in turn does the following: + +1. Initiates the context: + * Reads relevant configuration + * Configures Python `logging` + * Instantiates the `DataCatalog` and feeds a dictionary containing `parameters` config +2. Instantiates the pipeline +3. Instantiates the `SequentialRunner` and runs it by passing the following arguments: + * `Pipeline` object + * `DataCatalog` object + +Upon successful completion, you should see the following log message in your console: + +``` +2019-02-13 16:59:26,293 - kedro.runner.sequential_runner - INFO - Completed 4 out of 4 tasks +2019-02-13 16:59:26,293 - kedro.runner.sequential_runner - INFO - Pipeline execution completed successfully. +``` + +## Summary +Congratulations! In this chapter you have set up Kedro and used it to create a first example project, which has illustrated the basic concepts of using nodes to form a pipeline, a Data Catalog and the project configuration. This example uses a simple and familiar dataset, to keep your first experience very basic and easy to follow. 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0000000000..178d30f589 --- /dev/null +++ b/docs/source/03_tutorial/01_workflow.md @@ -0,0 +1,72 @@ +# Typical Kedro workflow + +## Development workflow +When building a Kedro project, you will typically follow a standard development workflow: + +![](img/typical_workflow.png) + +### 1. Set up the project template + +* Create a new project with `kedro new` +* Configure the following in the `conf` folder: + * Logging + * Credentials + * Any other sensitive / personal content + +### 2. Set up the data + +* Add data to the `data/` folder +* Reference all datasets for the project in `conf/base/catalog.yml` + +### 3. Create the pipeline + +* Create the data transformation steps as [pure](https://en.wikipedia.org/wiki/Pure_function) Python functions +* Construct the pipeline by adding your functions as nodes + - Specify inputs and outputs for each node +* Choose how to run the pipeline: sequentially or in parallel + +### 4. Package the project + + * Build the project documentation + * Package project into [Python wheels](https://pythonwheels.com/) or eggs for distribution + +## Git workflow + +### Creating a project repository + +Kedro doesn't require `git` and can work without any source control management system. However, we recommend keeping your work in a `git` repository. As a start you can follow one of the most popular git workflows known as [Gitflow](https://www.atlassian.com/git/tutorials/comparing-workflows/gitflow-workflow). + +To use `git`, if you don't have a local repository for your project already, create it with these commands: + +```bash +git init +git remote add origin https://github.com/<your-repo> +``` + +> Note: These commands must be issued from within the project directory. + +### Submitting your changes to GitHub + +As you work on a project, you will periodically want to save your changes. If you are working as part of a team, we suggest developing your code on a branch and creating pull requests to submit it to your `develop` or `master` branch: + +```bash +# create a new feature branch called 'feature-project-template' +git checkout -b feature/project-template +# stage all the files you have changed +git add . +# commit changes to git with an instructive message +git commit -m 'Create project template' +# push changes to remote branch +git push origin feature/project-template +``` + +It isn't necessary to branch, but if everyone in a team works on the same branch (e.g. `master`), you may have to resolve merge conflicts more often. Here is an example of working directly on `master`: + +```bash +# stage all files +git add . +# commit changes to git with an instructive message +git commit -m 'Create project template' +# push changes to remote master +git push origin master +``` diff --git a/docs/source/03_tutorial/02_tutorial_template.md b/docs/source/03_tutorial/02_tutorial_template.md new file mode 100644 index 0000000000..de2b35ebe3 --- /dev/null +++ b/docs/source/03_tutorial/02_tutorial_template.md @@ -0,0 +1,22 @@ +# Kedro Spaceflights tutorial + +In this tutorial, we will follow the [Kedro workflow](./01_workflow.md#development-workflow) and walk you through the steps necessary to convert an empty template into a working project. Our project will be based on the following scenario: + +> _It is 2160 and the space tourism industry is booming. Globally, there are thousands of space shuttle companies taking tourists to the Moon and back. You have been able to source amenities offered in each space shuttle, customer reviews and company information. You want to construct a model for predicting the price for each trip to the Moon and the corresponding return flight._ + + +## Creating the tutorial project + +Run `kedro new` from your chosen working directory to create an empty template project, following the interactive prompts to set the project's name, repository / folder name and Python package name, [as previously described](../02_getting_started/03_new_project.md). + +Call the project **`Kedro Tutorial`** and keep the default naming by pressing enter when prompted. Choose `N` to create a project template _without_ the Iris dataset example. Alternatively, you can create a new project from a [configuration file](../02_getting_started/03_new_project.md#create-a-new-project-from-a-configuration-file). + +### Project configuration + +The project template has a default configuration, but you should reconfigure it as follows: + +* Move `credentials.yml` from `conf/base/` to `conf/local/` + - To do this in the terminal, type the following from within the project's root directory: `mv ./conf/base/credentials.yml ./conf/local/`. +* [optional] Add in any credentials to `conf/local/credentials.yml` that you would need to load specific data sources like usernames and passwords. Some examples are given within the file to illustrate how you store credentials. +* [optional] Set up local configuration. Additional information can be found in the section on [configuration](../04_user_guide/03_configuration.md) in the user guide. +* [optional] Set up [logging](../04_user_guide/06_logging.md). diff --git a/docs/source/03_tutorial/03_set_up_data.md b/docs/source/03_tutorial/03_set_up_data.md new file mode 100644 index 0000000000..1403b7831b --- /dev/null +++ b/docs/source/03_tutorial/03_set_up_data.md @@ -0,0 +1,188 @@ +# Setting up the data + +Kedro uses configuration to make your code reproducible when it has to reference datasets in different locations and / or in different environments. In this section of the tutorial we will describe the following: + +* Adding datasets to your `data/` folder, according to [data engineering convention](../06_resources/01_faq.md#what-is-data-engineering-convention) +* Using the Data Catalog as a registry of all data sources available for use by the project `conf/base/catalog.yml` + +For further information about the Data Catalog, please see the [User Guide](../04_user_guide/04_data_catalog.md). + + +## Adding your datasets to `data` + +This tutorial will make use of fictional datasets for spaceflight companies shuttling customers to the Moon and back. You will use the data to train a model to predict the price of shuttle hire. However, before you get to train the model, you will need to prepare the data by doing some data engineering, which is the process of preparing data for model building by creating a master table. + +The spaceflight tutorial has three files and uses two data formats: `.csv` and `.xlsx`. Download and save the files to the `data/01_raw/` folder of your project directory: + +* [reviews.csv](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/reviews.csv) +* [companies.csv](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/companies.csv) +* [shuttles.xlsx](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/shuttles.xlsx) + + +## Reference all datasets + +To work with the datasets provided you need to make sure they can be loaded by Kedro. + +All Kedro projects have a `conf/base/catalog.yml` file where users register the datasets they use. Registering a dataset is as simple as adding a named entry into the `.yml` file, which includes: + +* File location (path) +* Parameters for the given dataset +* Type of data +* Versioning + +Kedro supports a number of different data types, such as `csv`, which is implemented by `CSVLocalDataSet`. The full list of supported datasets can be found in the [API documentation](../kedro.io.rst#data-sets). + +Let’s start this process by registering the `csv` datasets by copying the following to the end of the `catalog.yml` file: + +```yaml +companies: + type: CSVLocalDataSet + filepath: data/01_raw/companies.csv + +reviews: + type: CSVLocalDataSet + filepath: data/01_raw/reviews.csv +``` + +If you want to check whether Kedro loads the data correctly, open a `kedro ipython` session and run: + +```python +io.load('companies').head() +``` + +This should show you the first five rows of the dataset. If you want to explore more of it before moving on with the project: + +```python +df = io.load('companies') +``` + +The entire `companies` dataset is loaded into a `pandas` DataFrame and you can play with it as you wish. + +When you have finished, simply close `ipython` session by typing the following: + +```python +exit() +``` + + +## Creating custom datasets + +Often, real world data is stored in formats that are not supported by Kedro. We will illustrate this with `shuttles.xlsx`. In fact, Kedro has built-in support for Microsoft Excel files, but we will take the opportunity to demonstrate how to use Kedro to implement support for custom data formats. + +Let’s create a custom dataset implementation which will allow you to load and save `.xlsx` files. + +To keep your code well-structured you should create a Python sub-package called **`kedro_tutorial.io`**. You can do that by running this in your terminal: + +```bash +mkdir -p src/kedro_tutorial/io && touch src/kedro_tutorial/io/__init__.py +``` + +Creating new custom dataset implementations is done by creating a class that extends and implements all methods from `AbstractDataSet`. To implement a class that will allow you to load and save Excel files, you need to create the file `src/kedro_tutorial/io/xls_local.py` and paste the following into it: + +```python +"""ExcelLocalDataSet loads and saves data to a local Excel file. The +underlying functionality is supported by pandas, so it supports all +allowed pandas options for loading and saving Excel files. +""" +from os.path import isfile +from typing import Any, Union, Dict + +import pandas as pd + +from kedro.io import AbstractDataSet, ExistsMixin + +class ExcelLocalDataSet(AbstractDataSet, ExistsMixin): + """``ExcelLocalDataSet`` loads and saves data to a local Excel file. The + underlying functionality is supported by pandas, so it supports all + allowed pandas options for loading and saving Excel files. + + Example: + :: + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = ExcelLocalDataSet(filepath="test.xlsx", + >>> load_args={'sheet_name':"Sheet1"}, + >>> save_args=None) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + + """ + + def _describe(self) -> Dict[str, Any]: + return dict(filepath=self._filepath, + engine=self._engine, + load_args=self._load_args, + save_args=self._save_args) + + def __init__( + self, + filepath: str, + engine: str = "xlsxwriter", + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + ) -> None: + """Creates a new instance of ``ExcelLocalDataSet`` pointing to a concrete + filepath. + + Args: + engine: The engine used to write to excel files. The default + engine is 'xlswriter'. + + filepath: path to an Excel file. + + load_args: Pandas options for loading Excel files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html + The default_load_arg engine is 'xlrd', all others preserved. + + save_args: Pandas options for saving Excel files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_excel.html + All defaults are preserved. + + """ + self._filepath = filepath + default_save_args = {} + default_load_args = {"engine": "xlrd"} + + self._load_args = {**default_load_args, **load_args} \ + if load_args is not None else default_load_args + self._save_args = {**default_save_args, **save_args} \ + if save_args is not None else default_save_args + self._engine = engine + + def _load(self) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]: + return pd.read_excel(self._filepath, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + writer = pd.ExcelWriter(self._filepath, engine=self._engine) + data.to_excel(writer, **self._save_args) + writer.save() + + def _exists(self) -> bool: + return isfile(self._filepath) +``` + +And update the `catalog.yml` file by adding the following: + +```yaml +shuttles: + type: kedro_tutorial.io.xls_local.ExcelLocalDataSet + filepath: data/01_raw/shuttles.xlsx +``` + +> *Note:* The `type` specified is `kedro_tutorial.io.xls_local.ExcelLocalDataSet` which points Kedro to use the custom dataset implementation. To use Kedro's internal support for reading Excel datasets, you can simply specify `ExcelLocalDataSet`, which is implemented as in the code above. + +A good way to test that everything works as expected is by trying to load the dataset within a new `kedro ipython` session: + +```python +io.load('shuttles').head() +``` + +### Contributing a custom dataset implementation + +Kedro users create many custom dataset implementations while working on real-world projects, and it makes sense that they should be able to share their work with each other. That is why Kedro has a `kedro.contrib` sub-package, where users can add new custom dataset implementations to help others in our community. Sharing your custom datasets implementations is possibly the easiest way to contribute back to Kedro and if you are interested in doing so, you can check out the Kedro contribution guide on the [GitHub repo](https://github.com/quantumblacklabs/kedro). diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md new file mode 100644 index 0000000000..0b2dd98391 --- /dev/null +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -0,0 +1,716 @@ +# Creating a pipeline + +This section covers how to create a pipeline from a set of `node`s, which are Python functions, as described in more detail in the [nodes and pipelines user guide](../04_user_guide/05_nodes_and_pipelines.md) documentation. + +1. As you draft experimental code, you can use a [Jupyter Notebook](./04_create_pipelines.md#working-with-kedro-projects-from-jupyter) or [IPython session](../06_resources/03_ipython.md#working-with-kedro-and-ipython). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will copy & paste the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file. +2. When you are ready with a node you should add it to the pipeline in `src/kedro_tutorial/pipeline.py`, specifying its inputs and outputs. +3. Finally, you will choose how you would like to run your pipeline: sequentially or in parallel, by specifying your preference in `src/kedro_tutorial/run.py`. + + +## Node basics + +You previously registered the raw datasets for your Kedro project, so you can now start processing the data and preparing it for model building. Let’s pre-process two of the datasets ([companies.csv](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/companies.csv) and [shuttles.xlsx](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/shuttles.xlsx)) by creating Python functions for each. + +Create a file called `data_engineering.py` inside your `nodes` folder and add the following functions: + +```python +import pandas as pd + + +def _is_true(x): + return x == "t" + + +def _parse_percentage(x): + if isinstance(x, str): + return float(x.replace("%", "")) / 100 + return float("NaN") + + +def _parse_money(x): + return float(x.replace("$", "").replace(",", "")) + + +def preprocess_companies(companies: pd.DataFrame) -> pd.DataFrame: + """Preprocess the data for companies. + + Args: + companies: Source data. + Returns: + Preprocessed data. + + """ + + companies["iata_approved"] = companies["iata_approved"].apply(_is_true) + + companies["company_rating"] = companies["company_rating"].apply(_parse_percentage) + + return companies + + +def preprocess_shuttles(shuttles: pd.DataFrame) -> pd.DataFrame: + """Preprocess the data for shuttles. + + Args: + shuttles: Source data. + Returns: + Preprocessed data. + + """ + shuttles["d_check_complete"] = shuttles["d_check_complete"].apply(_is_true) + + shuttles["moon_clearance_complete"] = shuttles["moon_clearance_complete"].apply( + _is_true + ) + + shuttles["price"] = shuttles["price"].apply(_parse_money) + + return shuttles +``` + + +## Assemble nodes into a pipeline + +Now you have functions which take one dataframe and output a pre-processed version of that dataframe. Next you should add these functions as nodes into the pipeline in `pipeline.py`, so the `create_pipeline()` function looks as follows: + +```python +def create_pipeline(**kwargs): + """Create the project's pipeline. + + Args: + kwargs: Ignore any additional arguments added in the future. + + Returns: + Pipeline: The resulting pipeline. + + """ + pipeline = Pipeline( + [ + node(preprocess_companies, "companies", "preprocessed_companies"), + node(preprocess_shuttles, "shuttles", "preprocessed_shuttles"), + ] + ) + + return pipeline +``` + +You will also need to import `node`, and your functions by adding them to the beginning of the `pipeline.py` file: + +```python +from kedro.pipeline import node +from kedro_tutorial.nodes.data_engineering import ( + preprocess_companies, + preprocess_shuttles, +) +``` + +Now check if your pipeline is running without any errors by typing this in your terminal window: + +```bash +kedro run +``` + +You should see output similar to the following + +```bash +kedro run + +2019-04-18 19:16:15,206 - root - INFO - ** Kedro project kedro-tutorial +2019-04-18 19:16:15,207 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/logging.yml +2019-04-18 19:16:15,221 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/catalog.yml +2019-04-18 19:16:15,225 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/local/credentials.yml +2019-04-18 19:16:15,227 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/parameters.yml +2019-04-18 19:16:15,233 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... +2019-04-18 19:16:15,365 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (MemoryDataSet)... +2019-04-18 19:16:15,366 - kedro.runner.sequential_runner - INFO - Completed 1 out of 2 tasks +2019-04-18 19:16:15,367 - kedro.io.data_catalog - INFO - Loading data from `shuttles` (ExcelLocalDataSet)... +2019-04-18 19:16:35,738 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_shuttles` (MemoryDataSet)... +2019-04-18 19:16:35,745 - kedro.runner.sequential_runner - INFO - Completed 2 out of 2 tasks +2019-04-18 19:16:35,745 - kedro.runner.sequential_runner - INFO - Pipeline execution completed successfully. +2019-04-18 19:16:35,746 - kedro.io.data_catalog - INFO - Loading data from `preprocessed_shuttles` (MemoryDataSet)... +2019-04-18 19:16:35,748 - kedro.io.data_catalog - INFO - Loading data from `preprocessed_companies` (MemoryDataSet)... +``` + + +## Persisting pre-processed data + +Now each of our 2 newly added data preprocessing nodes outputs a new dataset: `preprocessed_companies` and `preprocessed_shuttles` respectively. Node inputs and outputs are used by the pipeline to determine interdependencies between the nodes, and hence, their execution order. + +When Kedro ran the pipeline, it determined that those datasets were not registered in the data catalog (`conf/base/catalog.yml`). If a dataset is not registered, Kedro stores it in memory as a Python object using the `MemoryDataSet` class. Once all nodes depending on it have been executed, a `MemoryDataSet` is cleared and its memory released by the Python garbage collector. + +If you prefer, you can persist any preprocessed data by adding the following to the `conf/base/catalog.yml` file: + +```yaml +preprocessed_companies: + type: CSVLocalDataSet + filepath: data/02_intermediate/preprocessed_companies.csv + +preprocessed_shuttles: + type: CSVLocalDataSet + filepath: data/02_intermediate/preprocessed_shuttles.csv +``` + +By doing so you explicitly declare that `CSVLocalDataSet` should be used instead of `MemoryDataSet`. `CSVLocalDataSet` will save the data as a CSV file to the local `filepath` specified. There is no need to change any code in your preprocessing functions to accommodate this change. `DataCatalog` will take care of saving those datasets automatically the next time you run the pipeline: + +```bash +kedro run +``` + +`CSVLocalDataSet` is chosen for its simplicity, but you can choose any other available dataset implementation class to save the data, for example, to a database table, cloud storage (like [AWS S3](https://aws.amazon.com/s3/), [Azure Blob Storage](https://azure.microsoft.com/en-gb/services/storage/blobs/), etc.) and others. If you cannot find the dataset implementation you need, you can easily implement your own as [you already did earlier](./03_set_up_data.md#creating-custom-datasets) and share it with the world by contributing back to Kedro! + + +## Working with Kedro projects from Jupyter + +Currently, the pipeline consists of just two nodes and performs just some data pre-processing. Let's expand it by adding more nodes. + +When you are developing new nodes for your pipeline, you can write them as regular Python functions, but you may want to use Jupyter Notebooks for experimenting with your code before committing to a specific implementation. To take advantage of Kedro's Jupyter session, you can run this in your terminal: + +```bash +kedro jupyter notebook +``` + +This will open a Jupyter Notebook in your browser. Navigate to `notebooks` folder and create a notebook there with a Kedro kernel. After opening the newly created notebook you can check what the data looks like by pasting this into the first cell of the notebook and selecting **Run**: + +```python +df = io.load('preprocessed_shuttles') +df.head() +``` + +You should be able to see the first 5 rows of the loaded dataset as follows: + +![](img/jupyter_notebook_ch3.png) + +> *Note:* +<br/>If you see an error message stating that `io` is undefined, you can see what went wrong by using `print(startup_error)`, where `startup_error` is available as a variable in Python. +<br/>If you cannot access `startup_error` please make sure you have run **`kedro`**`jupyter notebook` from the project's root directory. Running without the `kedro` command (that is, just running a `jupyter notebook`) will not load the Kedro session for you. +<br/>When you add new datasets to your `catalog.yml` file you need to reload Kedro's session by running `%reload_kedro` in your cell. + + +## Creating a master table + +We need to add a function to join together the three dataframes into a single master table in a cell in the notebook as follows: + +```python +import pandas as pd + +def create_master_table( + shuttles: pd.DataFrame, companies: pd.DataFrame, reviews: pd.DataFrame +) -> pd.DataFrame: + """Combines all data to create a master table. + + Args: + shuttles: Preprocessed data for shuttles. + companies: Preprocessed data for companies. + reviews: Source data for reviews. + Returns: + Master table. + + """ + rated_shuttles = shuttles.merge(reviews, left_on="id", right_on="shuttle_id") + + with_companies = rated_shuttles.merge( + companies, left_on="company_id", right_on="id" + ) + + master_table = with_companies.drop(["shuttle_id", "company_id"], axis=1) + master_table = master_table.dropna() + return master_table +``` + +### Working in a Jupyter notebook + +To create a new node to join all tables to form a master table, you need to add the three dataframes to a cell in the Jupyter notebook: + +```python +preprocessed_shuttles = io.load("preprocessed_shuttles") +preprocessed_companies = io.load("preprocessed_companies") +reviews = io.load("reviews") + +master = create_master_table(preprocessed_shuttles, preprocessed_companies, reviews) +master.head() +``` + +### Extending the project's code + +Having tested that all is working with the master table, it is now time to add the code you've worked on to the Spaceflights project code. First, add the `create_master_table()` function from the snippet above to `data_engineering.py` (you do not need to copy the import statement `import pandas as pd`). + +Then you should add it to the pipeline in `pipeline.py` by adding the node as follows: + +```python +node( + create_master_table, + ["preprocessed_shuttles", "preprocessed_companies", "reviews"], + "master_table" +), +``` +By adding this code to the project, you are telling Kedro that the function `create_master_table` should be called with the data loaded from datasets `preprocessed_shuttles`, `preprocessed_companies`, and `reviews` and the output should be saved to dataset `master_table`. + +You will also need to add an import statement for `create_master_table` at the top of the file: + +```python +from kedro_tutorial.nodes.data_engineering import ( + preprocess_companies, + preprocess_shuttles, + create_master_table, +) +``` + +If you want your data to be saved to file rather than used in-memory, you also need to add an entry to the `catalog.yml` file like this: + +```yaml +master_table: + type: CSVLocalDataSet + filepath: data/03_primary/master_table.csv +``` + +You may want to test that all is working with your code at this point: + +```bash +kedro run + +2019-04-19 15:44:21,748 - root - INFO - ** Kedro project kedro-tutorial +2019-04-19 15:44:21,749 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/logging.yml +2019-04-19 15:44:21,762 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/catalog.yml +2019-04-19 15:44:21,769 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/local/credentials.yml +2019-04-19 15:44:21,771 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/parameters.yml +2019-04-19 15:44:21,777 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... +2019-04-19 15:44:21,909 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (CSVLocalDataSet)... +2019-04-19 15:44:22,224 - kedro.runner.sequential_runner - INFO - Completed 1 out of 3 tasks +2019-04-19 15:44:22,224 - kedro.io.data_catalog - INFO - Loading data from `shuttles` (ExcelLocalDataSet)... +2019-04-19 15:44:44,310 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_shuttles` (CSVLocalDataSet)... +2019-04-19 15:44:44,993 - kedro.runner.sequential_runner - INFO - Completed 2 out of 3 tasks +2019-04-19 15:44:44,994 - kedro.io.data_catalog - INFO - Loading data from `preprocessed_shuttles` (CSVLocalDataSet)... +2019-04-19 15:44:45,132 - kedro.io.data_catalog - INFO - Loading data from `preprocessed_companies` (CSVLocalDataSet)... +2019-04-19 15:44:45,178 - kedro.io.data_catalog - INFO - Loading data from `reviews` (CSVLocalDataSet)... +2019-04-19 15:44:47,909 - kedro.io.data_catalog - INFO - Saving data to `master_table` (CSVLocalDataSet)... +2019-04-19 15:45:02,448 - kedro.runner.sequential_runner - INFO - Completed 3 out of 3 tasks +2019-04-19 15:45:02,449 - kedro.runner.sequential_runner - INFO - Pipeline execution completed successfully. +``` + + +## Working with multiple pipelines + +Having merged three input datasets to create a master table, you are now ready to make another pipeline for a price prediction model. It will be called the data science pipeline. + +For this example, we will use a [`LinearRegression`](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html) implementation from the [scikit-learn](https://scikit-learn.org/stable/) library. + +You can start by updating the dependencies in `src/requirements.txt` with the following: + +```text +scikit-learn==0.20.2 +``` + +You can find out more about requirements files [here](https://pip.pypa.io/en/stable/user_guide/#requirements-files). + +Then, from within the project directory, run: + +```bash +kedro install +``` + +Next, create a file `src/kedro_tutorial/nodes/price_prediction.py` and add the following code to it: + +```python +import logging +from typing import Dict, List + +import numpy as np +import pandas as pd +from sklearn.linear_model import LinearRegression +from sklearn.metrics import r2_score +from sklearn.model_selection import train_test_split + + +def split_data(data: pd.DataFrame, parameters: Dict) -> List: + """Splits data into training and test sets. + + Args: + data: Source data. + parameters: Parameters defined in parameters.yml. + + Returns: + A list containing split data. + + """ + X = data[ + [ + "engines", + "passenger_capacity", + "crew", + "d_check_complete", + "moon_clearance_complete", + ] + ].values + y = data["price"].values + X_train, X_test, y_train, y_test = train_test_split( + X, y, test_size=parameters["test_size"], random_state=parameters["random_state"] + ) + + return [X_train, X_test, y_train, y_test] + + +def train_model(X_train: np.ndarray, y_train: np.ndarray) -> LinearRegression: + """Train the linear regression model. + + Args: + X_train: Training data of independent features. + y_train: Training data for price. + + Returns: + Trained model. + + """ + regressor = LinearRegression() + regressor.fit(X_train, y_train) + return regressor + + +def evaluate_model(regressor: LinearRegression, X_test: np.ndarray, y_test: np.ndarray): + """Calculate the coefficient of determination and log the result. + + Args: + regressor: Trained model. + X_test: Testing data of independent features. + y_test: Testing data for price. + + """ + y_pred = regressor.predict(X_test) + score = r2_score(y_test, y_pred) + logger = logging.getLogger(__name__) + logger.info("Model has a coefficient R^2 of %.3f.", score) +``` +Add the following to `conf/base/parameters.yml`: + +```yaml +test_size: 0.2 +random_state: 3 +``` + +These are the parameters fed into the `DataCatalog` when the pipeline is executed (see the details in `create_catalog()` and `main()` in `src/kedro_tutorial/run.py`). + +Next, register the dataset, which will save the trained model, by adding the following definition to `conf/base/catalog.yml`: + +```yaml +regressor: + type: PickleLocalDataSet + filepath: data/06_models/regressor.pickle + versioned: true +``` + +> *Note:* Versioning is enabled for `regressor`, which means that the pickled output of the `regressor` will be versioned and saved every time the pipeline is run. This allows us to keep the history of the models built using this pipeline. See the details in the [Versioning](../04_user_guide/07_advanced_io.md#versioning) section of the User Guide. + +Now to create a pipeline for the price prediction model. In `src/kedro_tutorial/nodes/pipeline.py`, update `create_pipeline()` to add an extra import statement as follows: + +```python +from kedro_tutorial.nodes.price_prediction import split_data, train_model, evaluate_model +``` + +Then add a separate pipeline, by replacing the code in `create_pipeline()` as follows: + +```python +def create_pipeline(**kwargs): + """Create the project's pipeline. + + Args: + kwargs: Ignore any additional arguments added in the future. + + Returns: + Pipeline: The resulting pipeline. + + """ + de_pipeline = Pipeline( + [ + node(preprocess_companies, "companies", "preprocessed_companies"), + node(preprocess_shuttles, "shuttles", "preprocessed_shuttles"), + node( + create_master_table, + ["preprocessed_shuttles", "preprocessed_companies", "reviews"], + "master_table", + ), + ] + ) + + ds_pipeline = Pipeline( + [ + node( + split_data, + ["master_table", "parameters"], + ["X_train", "X_test", "y_train", "y_test"], + ), + node(train_model, ["X_train", "y_train"], "regressor"), + node(evaluate_model, ["regressor", "X_test", "y_test"], None), + ] + ) + + return de_pipeline + ds_pipeline +``` + +The first node of the `ds_pipeline` outputs 4 objects: `X_train`, `X_test`, `y_train`, `y_test`, which are not registered in `conf/base/catalog.yml`. (If you recall, if a dataset is not specified in the catalog, Kedro will automatically save it in memory using the `MemoryDataSet`). Normally you would add dataset definitions of your model features into `conf/base/catalog.yml` with the save location in `data/04_features/`. + +The two pipelines are merged together in `de_pipeline + ds_pipeline`. Both pipelines will be executed when you invoke the following: + +```bash +kedro run +``` +You should see output similar to the following: + +```bash +kedro run + +2019-04-19 16:02:47,383 - root - INFO - ** Kedro project kedro-tutorial +2019-04-19 16:02:47,385 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/logging.yml +2019-04-19 16:02:47,398 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/catalog.yml +2019-04-19 16:02:47,405 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/local/credentials.yml +2019-04-19 16:02:47,407 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/parameters.yml +2019-04-19 16:02:47,414 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... +2019-04-19 16:02:47,540 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (CSVLocalDataSet)... +2019-04-19 16:02:47,854 - kedro.runner.sequential_runner - INFO - Completed 1 out of 6 tasks +2019-04-19 16:02:47,854 - kedro.io.data_catalog - INFO - Loading data from `shuttles` (ExcelLocalDataSet)... +2019-04-19 16:03:10,498 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_shuttles` (CSVLocalDataSet)... +2019-04-19 16:03:11,163 - kedro.runner.sequential_runner - INFO - Completed 2 out of 6 tasks +2019-04-19 16:03:11,163 - kedro.io.data_catalog - INFO - Loading data from `preprocessed_shuttles` (CSVLocalDataSet)... +2019-04-19 16:03:11,307 - kedro.io.data_catalog - INFO - Loading data from `preprocessed_companies` (CSVLocalDataSet)... +2019-04-19 16:03:11,355 - kedro.io.data_catalog - INFO - Loading data from `reviews` (CSVLocalDataSet)... +2019-04-19 16:03:14,627 - kedro.io.data_catalog - INFO - Saving data to `master_table` (CSVLocalDataSet)... +2019-04-19 16:03:29,827 - kedro.runner.sequential_runner - INFO - Completed 3 out of 6 tasks +2019-04-19 16:03:29,827 - kedro.io.data_catalog - INFO - Loading data from `master_table` (CSVLocalDataSet)... +2019-04-19 16:03:32,491 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... +2019-04-19 16:03:32,950 - kedro.io.data_catalog - INFO - Saving data to `y_test` (MemoryDataSet)... +2019-04-19 16:03:32,952 - kedro.io.data_catalog - INFO - Saving data to `y_train` (MemoryDataSet)... +2019-04-19 16:03:32,953 - kedro.io.data_catalog - INFO - Saving data to `X_train` (MemoryDataSet)... +2019-04-19 16:03:32,993 - kedro.io.data_catalog - INFO - Saving data to `X_test` (MemoryDataSet)... +2019-04-19 16:03:33,062 - kedro.runner.sequential_runner - INFO - Completed 4 out of 6 tasks +2019-04-19 16:03:33,062 - kedro.io.data_catalog - INFO - Loading data from `X_train` (MemoryDataSet)... +2019-04-19 16:03:33,134 - kedro.io.data_catalog - INFO - Loading data from `y_train` (MemoryDataSet)... +2019-04-19 16:03:33,399 - kedro.io.data_catalog - INFO - Saving data to `regressor` (PickleLocalDataSet)... +2019-04-19 16:03:33,469 - kedro.runner.sequential_runner - INFO - Completed 5 out of 6 tasks +2019-04-19 16:03:33,469 - kedro.io.data_catalog - INFO - Loading data from `regressor` (PickleLocalDataSet)... +2019-04-19 16:03:33,470 - kedro.io.data_catalog - INFO - Loading data from `X_test` (MemoryDataSet)... +2019-04-19 16:03:33,487 - kedro.io.data_catalog - INFO - Loading data from `y_test` (MemoryDataSet)... +2019-04-19 16:03:33,538 - kedro_tutorial.nodes.price_prediction - INFO - Model has a coefficient R^2 of 0.456. +2019-04-19 16:03:33,573 - kedro.runner.sequential_runner - INFO - Completed 6 out of 6 tasks +2019-04-19 16:03:33,573 - kedro.runner.sequential_runner - INFO - Pipeline execution completed successfully. +``` + +The `de_pipeline` will preprocess the data, and `ds_pipeline` will then create features, train and evaluate the model. + +> *Note:* The order in which you add the pipelines together is not significant and `ds_pipeline + de_pipeline` will result in the same pipeline, since Kedro automatically detects the correct execution order for all the nodes in the resulting pipeline. + + +## Partial pipeline runs + +In some cases, you may want to partially run the pipeline. For example, you may need to only run the `ds_pipeline` to tune the hyperparameters of the price prediction model and skip `de_pipeline` execution. The most obvious way of doing this is by modifying your Python code for pipeline definition, however, this method sometimes introduces errors. + +A better way to run partial pipelines without changing your code is to use tags. Each node within the pipeline can be tagged by passing **`name`** into the `Pipeline()`. Update the `create_pipeline()` code in `pipeline.py` one more time: + +```python +def create_pipeline(**kwargs): + """Create the project's pipeline. + + Args: + kwargs: Ignore any additional arguments added in the future. + + Returns: + Pipeline: The resulting pipeline. + + """ + de_pipeline = Pipeline( + [ + node(preprocess_companies, "companies", "preprocessed_companies"), + node(preprocess_shuttles, "shuttles", "preprocessed_shuttles"), + node( + create_master_table, + ["preprocessed_shuttles", "preprocessed_companies", "reviews"], + "master_table", + ), + ], + name="de", + ) + + ds_pipeline = Pipeline( + [ + node( + split_data, + ["master_table", "parameters"], + ["X_train", "X_test", "y_train", "y_test"], + ), + node(train_model, ["X_train", "y_train"], "regressor"), + node(evaluate_model, ["regressor", "X_test", "y_test"], None), + ], + name="ds", + ) + + return de_pipeline + ds_pipeline +``` + +Should you need to, you can add more than one tag to the pipeline by adding `name=['tag1', 'tag2']`. + +To run a partial pipeline: + +```bash +kedro run --tag=ds +``` + +This will skip the execution of the pipeline with tag `de` and only run the `ds` nodes (found within the `ds_pipeline`). If you want to run the whole pipeline: + +```bash +kedro run +``` + +or: + +```bash +kedro run --tag=ds --tag=de +``` + +> *Note:* You can also attach tags to the individual nodes by passing the `tags` keyword to the `node()` function, and these are used in addition to any tags specified at the pipeline level. To tag a node as `my-regressor-node`: + +```python +node( + train_model, + ["X_train", "y_train"], + "regressor", + tags=["my-regressor-node"], +) +``` + + +## Using decorators for nodes and pipelines + +In this section, you will learn about Kedro's built-in decorators as well as how to create your own node and pipeline decorators. + +[Python decorators](https://wiki.python.org/moin/PythonDecorators) can be applied to Kedro nodes. Let's walk through an example of building our own decorator for logging the execution time of each node. + +### Decorating the nodes + +Logging the execution time for each node can be performed by creating a function and adding it to each node as a decorator. + +In `data_engineering.py`, add the following decorator function near the top of the file: + +```python +from functools import wraps +from typing import Callable +import time +import logging + +def log_running_time(func: Callable) -> Callable: + """Decorator for logging node execution time. + + Args: + func: Function to be executed. + + Returns: + Decorator for logging the running time. + + """ + @wraps(func) + def with_time(*args, **kwargs): + log = logging.getLogger(__name__) + t_start = time.time() + result = func(*args, **kwargs) + t_end = time.time() + elapsed = t_end - t_start + log.info("Running %r took %.2f seconds", func.__name__, elapsed) + return result + return with_time +``` + +And apply it to each data engineering function by prepending `@log_running_time` to the definition: + +```python +@log_running_time +def preprocess_companies(companies: pd.DataFrame) -> pd.DataFrame: + ... + +@log_running_time +def preprocess_shuttles(shuttles: pd.DataFrame) -> pd.DataFrame: + ... +``` + +Then, if you run your pipeline from the command line, you should see a similar output: + +```bash +kedro run + +... +kedro_tutorial.nodes.data_engineering - INFO - Running 'preprocess_companies' took XXX seconds +... +kedro_tutorial.nodes.data_engineering - INFO - Running 'preprocess_shuttles' took XXX seconds +``` + +### Decorating the pipeline + +A decorator can also be applied to the pipeline rather than each node. In `src/kedro_tutorial/nodes/pipeline.py`, update the imports from `data_engineering.py` as follows: + +```python +from kedro_tutorial.nodes.data_engineering import ( + preprocess_companies, + preprocess_shuttles, + create_master_table, + log_running_time, +) +``` + +Then add the decorators to the pipeline: + +```python +def create_pipeline(**kwargs): + """Create the project's pipeline. + + Args: + kwargs: Ignore any additional arguments added in the future. + + Returns: + Pipeline: The resulting pipeline. + + """ + de_pipeline = Pipeline( + [ + node(preprocess_companies, "companies", "preprocessed_companies"), + node(preprocess_shuttles, "shuttles", "preprocessed_shuttles"), + node( + create_master_table, + ["preprocessed_shuttles", "preprocessed_companies", "reviews"], + "master_table", + ), + ], + name="de", + ).decorate(log_running_time) + + ds_pipeline = Pipeline( + [ + node( + split_data, + ["master_table", "parameters"], + ["X_train", "X_test", "y_train", "y_test"], + ), + node(train_model, ["X_train", "y_train"], "regressor"), + node(evaluate_model, ["regressor", "X_test", "y_test"], None), + ], + name="ds", + ).decorate(log_running_time) + + return de_pipeline + ds_pipeline +``` + +This decorator is commonly used and Kedro already includes it as a built-in decorator called `kedro.pipeline.decorators.log_time`. + +Another built-in decorator is `kedro.pipeline.decorators.mem_profile`, which will log the maximum memory usage of your node. + + +## Kedro runners + +Having specified the data catalog and the pipeline, you are now ready to run the pipeline. There are two different runners you can specify: + +* `SequentialRunner` - runs your nodes sequentially; once a node has completed its task then the next one starts. +* `ParallelRunner` - runs your nodes in parallel; independent nodes are able to run at the same time, allowing you to take advantage of multiple CPU cores. + +By default, `src/kedro_tutorial/run.py` uses a `SequentialRunner`, which is instantiated when you execute `kedro run` from the command line. Switching to use `ParallelRunner` is as simple as providing an additional flag when running the pipeline from the command line as follows: + +```bash +kedro run --parallel +``` + +`ParallelRunner` executes the pipeline nodes in parallel, and is more efficient when there are independent branches in your pipeline. + +> *Note:* `ParallelRunner` performs task parallelisation, which is different from data parallelisation as seen in PySpark. diff --git a/docs/source/03_tutorial/05_package_a_project.md b/docs/source/03_tutorial/05_package_a_project.md new file mode 100644 index 0000000000..ad06036c15 --- /dev/null +++ b/docs/source/03_tutorial/05_package_a_project.md @@ -0,0 +1,22 @@ +# Packaging a project + +In this section, you will learn how to build your project documentation, as well as how to bundle your project into a Python package for handover. + + +## Add documentation to your project + +While Kedro documentation can be found by running `kedro docs` from the command line, project-specific documentation can be generated by running `kedro build-docs` in the project's root directory. + +This will create documentation based on the code structure of your project. Documentation will also include the [`docstrings`](https://www.datacamp.com/community/tutorials/docstrings-python) defined in the project code. The resulting HTML files can be found in `docs/build/html/`. + +`kedro build-docs` uses the [Sphinx](https://www.sphinx-doc.org) framework to build your project documentation, so if you want to customise it, please refer to `docs/source/conf.py` and the [corresponding section](http://www.sphinx-doc.org/en/master/usage/configuration.html) of the Sphinx documentation. + + +## Package your project + +You can package your project by running `kedro package` from the command line. This will create one `.egg` file and one `.whl` file within the `src/dist/` folder of your project, which are Python packaging formats. For further information about packaging for Python, documentation is provided [here](https://packaging.python.org/overview/). + + +## What is next? + +You have now successfully built a project along with its documentation and packaged it using one of standard Python distribution formats. You may choose to open-source your project and make it available to a wider community of users and contributors. For further steps we advise you to consult [this GitHub guide](https://github.com/open-source), [PyPI help](https://pypi.org/help/), a [Read the Docs tutorial](https://docs.readthedocs.io/en/latest/intro/getting-started-with-sphinx.html#), and a guide to [Open Source Licenses & Standards](https://opensource.org/licenses). diff --git a/docs/source/03_tutorial/data/companies.csv b/docs/source/03_tutorial/data/companies.csv new file mode 100755 index 0000000000..b9fe15c301 --- /dev/null +++ b/docs/source/03_tutorial/data/companies.csv @@ -0,0 +1,77097 @@ +id,company_rating,company_location,total_fleet_count,iata_approved +35029,100%,Niue,4.0,f +30292,67%,Anguilla,6.0,f +19032,67%,Russian Federation,4.0,f +8238,91%,Barbados,15.0,t +30342,,Sao Tome and Principe,2.0,t +32413,100%,Faroe Islands,1.0,f +35620,90%,Micronesia,3.0,f +23820,,Rwanda,1.0,t +46528,100%,Uzbekistan,3.0,t +11875,100%,Micronesia,2.0,t +21120,100%,Kiribati,2.0,t +10864,100%,Nicaragua,2.0,t +6027,82%,Wallis and Futuna,2.0,f +14122,100%,Malta,1.0,t +47761,100%,Niue,2.0,f +33827,100%,United Kingdom,1.0,f +13336,,Malta,1.0,f +46548,,Estonia,1.0,f +26648,100%,Niue,2.0,t +26648,100%,Niue,2.0,t +19479,80%,Niue,4.0,f +13109,100%,Bouvet Island (Bouvetoya),1.0,f +19479,80%,Niue,4.0,f +35620,90%,Micronesia,3.0,f +24304,100%,Micronesia,1.0,t +17518,90%,United Kingdom,2.0,t +42867,100%,Indonesia,2.0,t +31177,,Costa Rica,1.0,f +41961,,Marshall Islands,2.0,t +47761,100%,Niue,2.0,f +16351,,,1.0,t +5252,,Kenya,1.0,t +29378,,,1.0,f +11275,100%,Brazil,3.0,t +28675,100%,Guinea,1.0,t +2418,100%,Mexico,2.0,f +2418,100%,Mexico,2.0,f +21747,67%,Gambia,1.0,t +47174,,Isle of Man,2.0,t +40644,,Bosnia and Herzegovina,1.0,t +49598,,Switzerland,4.0,t +8363,71%,Guinea,3.0,f +22699,0%,Russian Federation,1.0,f +27772,100%,Chad,2.0,t +33784,100%,Pakistan,1.0,f +6186,,Bosnia and Herzegovina,3.0,t +2817,,El Salvador,1.0,f +6399,95%,Marshall Islands,5.0,f +859,75%,Lebanon,2.0,t +12135,,Bosnia and Herzegovina,1.0,t +33904,100%,Russian Federation,1.0,t +1442,100%,Andorra,2.0,t +1442,100%,Andorra,2.0,t +8363,71%,Guinea,3.0,f +6637,100%,Cyprus,3.0,t +7788,,Cook Islands,3.0,t +42832,,Denmark,2.0,f +8363,71%,Guinea,3.0,f +42114,100%,Sao Tome and Principe,3.0,t +29416,100%,Anguilla,1.0,f +14271,,El Salvador,1.0,f +9814,100%,Lebanon,2.0,t +39856,100%,Bosnia and Herzegovina,1.0,t +37646,100%,Estonia,60.0,f +19579,100%,Kenya,2.0,f +29560,,Croatia,4.0,t +21836,100%,Mauritania,3.0,f +14917,,Monaco,1.0,t +6399,95%,Marshall Islands,5.0,f +7788,,Cook Islands,3.0,t +15268,,Lebanon,1.0,t +28884,100%,Micronesia,2.0,t +48911,100%,,1.0,f +8238,91%,Barbados,15.0,t +17025,100%,Sao Tome and Principe,1.0,t +37349,100%,,1.0,f +37321,100%,Tunisia,1.0,t +24968,,Gibraltar,1.0,t +18897,100%,Canada,1.0,t +41961,,Marshall Islands,2.0,t +5431,100%,Uzbekistan,2.0,t +13796,100%,Kiribati,2.0,t +42114,100%,Sao Tome and Principe,3.0,t +29049,,Zimbabwe,1.0,f +8555,100%,Guernsey,1.0,t +28032,,France,1.0,t +36452,100%,Pakistan,1.0,f +44099,100%,Reunion,1.0,f +13926,,Niger,1.0,t +20214,100%,Sao Tome and Principe,1.0,f +13381,40%,Guinea,1.0,f +42832,,Denmark,2.0,f +12764,,Finland,1.0,t +12916,,,9.0,t +46575,100%,Isle of Man,1.0,f +15306,,Barbados,8.0,t +31859,100%,Maldives,2.0,f +20692,100%,Marshall Islands,7.0,t +4795,100%,Malta,1.0,f +30537,100%,Tonga,3.0,t +45855,100%,,1.0,f +35147,95%,Mauritania,5.0,t +35321,100%,Russian Federation,2.0,t +3652,100%,Guinea,2.0,t +15604,100%,Russian Federation,2.0,t +23644,100%,Mauritania,4.0,t +26909,100%,Lebanon,1.0,t +2771,80%,Niue,1.0,f +36905,100%,Senegal,1.0,t +48372,100%,Barbados,12.0,t +6492,100%,Marshall Islands,1.0,f +1597,100%,,1.0,f +4242,67%,Ecuador,1.0,t +38864,,Uganda,1.0,f +40326,33%,,1.0,f +27965,100%,Faroe Islands,3.0,f +46456,0%,Monaco,1.0,f +26562,,,1.0,f +16247,100%,Slovakia (Slovak Republic),3.0,f +19032,67%,Russian Federation,4.0,f +1952,100%,Denmark,2.0,t +21495,,Estonia,1.0,t +16247,100%,Slovakia (Slovak Republic),3.0,f +36279,,Christmas Island,1.0,t +22168,,Kenya,1.0,f +5570,100%,Finland,1.0,t +20736,100%,Russian Federation,3.0,t +43515,100%,Uruguay,1.0,f +32290,0%,,1.0,f +41956,,Lebanon,1.0,t +33906,80%,Marshall Islands,1.0,f +23133,,Rwanda,1.0,t +5698,100%,Cape Verde,1.0,t +464,,Gibraltar,1.0,f +49323,100%,Croatia,2.0,t +18899,,Bosnia and Herzegovina,1.0,f +20242,100%,Croatia,1.0,f +599,,El Salvador,2.0,f +11781,100%,Guinea,2.0,t +36599,,Lebanon,1.0,f +39533,,Rwanda,1.0,t +9447,100%,Grenada,1.0,f +41760,,Uzbekistan,1.0,f +24038,67%,Tanzania,1.0,t +32063,100%,Niue,2.0,t +44947,100%,Malta,1.0,t +49938,100%,Anguilla,1.0,f +2926,86%,Niue,1.0,f +45976,83%,Brazil,1.0,f +21120,100%,Kiribati,2.0,t +43109,80%,Russian Federation,1.0,t +20697,90%,Lebanon,1.0,t +992,0%,Croatia,2.0,f +9736,50%,Congo,2.0,t +50009,0%,Niue,1.0,f +5991,,Lebanon,3.0,t +33462,100%,Nicaragua,1.0,t +14016,,Turkmenistan,3.0,t +30628,100%,Marshall Islands,1.0,f +11884,100%,Zimbabwe,1.0,t +8662,100%,Croatia,2.0,t +23614,100%,Ecuador,4.0,t +9261,100%,Tonga,1.0,f +41244,100%,Guernsey,3.0,t +16422,100%,Russian Federation,6.0,f +14240,100%,Chile,3.0,t +41697,100%,Bahrain,1.0,f +20450,,Vanuatu,1.0,f +15854,100%,Marshall Islands,1.0,f +14191,100%,Slovakia (Slovak Republic),1.0,f +36823,100%,Russian Federation,2.0,t +36548,,Uzbekistan,1.0,t +25038,100%,Bouvet Island (Bouvetoya),1.0,f +49186,100%,Isle of Man,1.0,f +26832,,,1.0,t +49323,100%,Croatia,2.0,t +4231,100%,Guinea,1.0,t +23044,100%,Fiji,2.0,t +8238,91%,Barbados,15.0,t +42077,100%,Philippines,2.0,t +14369,,Micronesia,2.0,t +40973,90%,Uzbekistan,1.0,t +23812,,,2.0,t +37577,100%,Lebanon,3.0,t +29642,100%,Costa Rica,1.0,t +28781,,Anguilla,2.0,f +37646,100%,Estonia,60.0,f +17967,100%,El Salvador,2.0,f +15391,90%,Niger,2.0,t +21019,,Niue,1.0,t +36139,,Montserrat,2.0,f +30801,100%,Mauritania,2.0,t +14240,100%,Chile,3.0,t +39395,100%,Mauritania,3.0,t +40007,100%,Marshall Islands,1.0,f +37392,100%,Micronesia,7.0,t +674,100%,Gibraltar,4.0,f +18410,100%,Russian Federation,1.0,t +16661,100%,Russian Federation,2.0,t +2145,67%,Faroe Islands,3.0,t +28201,100%,Kenya,1.0,f +45585,100%,Denmark,1.0,f +18765,100%,Bosnia and Herzegovina,1.0,t +21202,,Mauritania,1.0,f +27589,80%,Estonia,1.0,f +30065,,Russian Federation,1.0,t +23044,100%,Fiji,2.0,t +2977,,Reunion,2.0,f +8023,,Isle of Man,1.0,t +22680,,Sao Tome and Principe,1.0,f +19875,90%,Kenya,1.0,f +9011,100%,Russian Federation,1.0,f +42965,100%,Uzbekistan,11.0,t +26524,100%,Guinea,2.0,t +41815,,Russian Federation,1.0,f +35807,100%,Sao Tome and Principe,2.0,f +13525,100%,Nauru,1.0,f +29563,100%,Jersey,2.0,f +22568,100%,Malta,1.0,t +20736,100%,Russian Federation,3.0,t +29112,100%,Chad,2.0,f +30801,100%,Mauritania,2.0,t +40842,100%,Mexico,1.0,f +794,100%,Indonesia,1.0,f +21596,100%,Guinea,1.0,t +283,100%,United Kingdom,1.0,t +20847,100%,Bouvet Island (Bouvetoya),2.0,t +14602,100%,Malawi,1.0,t +20736,100%,Russian Federation,3.0,t +27556,,Russian Federation,1.0,f +13504,100%,Ukraine,3.0,f +13585,,Rwanda,2.0,f +37646,100%,Estonia,60.0,f +36336,100%,Jersey,1.0,f +49491,100%,,1.0,t +23663,100%,Philippines,1.0,t +10211,100%,Mauritania,1.0,f +13504,100%,Ukraine,3.0,f +36732,,China,1.0,t +45546,100%,Cape Verde,19.0,t +42201,,United Kingdom,1.0,f +23644,100%,Mauritania,4.0,t +1536,100%,Grenada,2.0,f +37646,100%,Estonia,60.0,f +39713,100%,Denmark,4.0,f +48832,,Lebanon,1.0,f +1592,,Tonga,1.0,f +29590,,,1.0,f +23891,90%,Zimbabwe,3.0,t +36484,100%,Bouvet Island (Bouvetoya),1.0,f +19579,100%,Kenya,2.0,f +6518,100%,Uzbekistan,1.0,f +15814,100%,Brazil,4.0,f +13692,100%,Uganda,1.0,f +10947,,Bosnia and Herzegovina,1.0,f +2097,100%,Guernsey,1.0,t +32603,83%,Nicaragua,4.0,t +38131,100%,Antarctica (the territory South of 60 deg S),3.0,t +41093,100%,Tunisia,2.0,t +20345,0%,Niue,1.0,f +13585,,Rwanda,2.0,f +3329,,Uzbekistan,4.0,f +12401,100%,Rwanda,2.0,f +40954,0%,Uganda,1.0,f +30509,,Gambia,1.0,f +41093,100%,Tunisia,2.0,t +9829,70%,Nauru,1.0,f +25988,100%,Russian Federation,2.0,f +23614,100%,Ecuador,4.0,t +14616,50%,Marshall Islands,1.0,t +24425,100%,Mauritania,2.0,t +12401,100%,Rwanda,2.0,f +32476,100%,French Guiana,1.0,t +10204,100%,Nicaragua,5.0,t +45546,100%,Cape Verde,19.0,t +17703,100%,Marshall Islands,1.0,f +42375,,Kenya,1.0,f +38363,100%,Uganda,1.0,t +29648,,Guinea,1.0,t +19576,100%,Micronesia,2.0,t +42686,,,1.0,t +8930,,Turkmenistan,2.0,t +293,100%,Lebanon,1.0,f +9042,57%,Russian Federation,2.0,f +36853,100%,Guinea,1.0,f +44853,100%,Lebanon,2.0,f +25856,,Vanuatu,4.0,t +14210,100%,Finland,1.0,f +45741,100%,Uzbekistan,6.0,t +9029,,Andorra,2.0,t +4038,,Micronesia,1.0,t +28458,100%,Turkmenistan,6.0,f +24088,,Russian Federation,1.0,t +9708,,Lebanon,2.0,t +49956,,Russian Federation,1.0,f +24133,100%,Cuba,1.0,t +46586,100%,Bosnia and Herzegovina,12.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +20550,,Tanzania,1.0,f +10680,,Anguilla,2.0,f +42897,,Brazil,1.0,f +4237,33%,Holy See (Vatican City State),1.0,f +23322,100%,French Guiana,2.0,t +20829,,Anguilla,1.0,t +13720,,Bouvet Island (Bouvetoya),3.0,t +10392,,Chad,1.0,f +42288,,,1.0,f +23215,100%,Djibouti,2.0,f +17993,100%,Zimbabwe,1.0,t +2717,,Uzbekistan,3.0,f +19033,25%,Zimbabwe,1.0,f +7676,,Russian Federation,1.0,f +28911,,,1.0,f +42458,97%,Indonesia,14.0,t +6396,100%,Indonesia,1.0,t +37718,,Barbados,1.0,t +39724,86%,Sao Tome and Principe,2.0,f +21591,100%,Kiribati,1.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +21229,100%,Pakistan,10.0,t +40281,100%,,3.0,f +32659,100%,Cuba,1.0,t +11428,,Kenya,1.0,f +10204,100%,Nicaragua,5.0,t +11616,100%,Uzbekistan,12.0,t +30107,100%,Venezuela,2.0,t +36659,100%,Anguilla,2.0,t +9754,100%,Brazil,6.0,f +34610,,Gambia,2.0,f +7240,100%,,1.0,t +20343,,Togo,4.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +13796,100%,Kiribati,2.0,t +5203,,Grenada,1.0,t +31686,100%,Finland,1.0,t +16130,100%,Ghana,3.0,t +8654,100%,Christmas Island,3.0,f +25615,75%,French Polynesia,1.0,t +32383,100%,Marshall Islands,1.0,f +34784,60%,Faroe Islands,19.0,t +18105,100%,Gambia,7.0,t +34234,0%,Zimbabwe,2.0,t +26099,99%,Reunion,15.0,f +8605,90%,Estonia,4.0,t +47708,,Bosnia and Herzegovina,1.0,f +38347,100%,El Salvador,1.0,f +14971,,Estonia,1.0,f +42458,97%,Indonesia,14.0,t +48535,100%,El Salvador,2.0,f +46667,100%,United Kingdom,1.0,f +14372,0%,Ecuador,1.0,t +31602,,French Guiana,1.0,t +7411,,,1.0,f +19521,100%,United Kingdom,3.0,t +20542,80%,Kenya,7.0,t +20542,80%,Kenya,7.0,t +43862,,Chile,1.0,t +37392,100%,Micronesia,7.0,t +11048,,Bosnia and Herzegovina,1.0,t +1499,100%,Tonga,2.0,t +12004,100%,,1.0,f +10954,100%,Uganda,2.0,f +16083,100%,Guinea,2.0,f +18944,80%,Indonesia,2.0,f +36985,100%,Kiribati,7.0,t +36985,100%,Kiribati,7.0,t +3902,100%,Papua New Guinea,3.0,t +19300,,Costa Rica,1.0,f +36411,100%,Brazil,3.0,f +36411,100%,Brazil,3.0,f +36411,100%,Brazil,3.0,f +6896,,Barbados,2.0,t +10818,,Cape Verde,1.0,f +7,,Puerto Rico,1.0,f +15164,100%,Tanzania,2.0,t +23891,90%,Zimbabwe,3.0,t +40632,,Puerto Rico,1.0,f +42754,,Gambia,1.0,f +17306,92%,Micronesia,4.0,t +9207,,Marshall Islands,2.0,t +17306,92%,Micronesia,4.0,t +7175,100%,Zimbabwe,1.0,t +263,,Anguilla,1.0,f +9833,,,1.0,f +15164,100%,Tanzania,2.0,t +12046,,,1.0,t +17682,100%,Niue,1.0,f +34538,,Togo,1.0,f +47295,100%,Niue,1.0,t +12752,,Zimbabwe,2.0,f +21191,,Nauru,1.0,f +44495,,Gambia,1.0,f +44446,100%,Costa Rica,3.0,t +15472,100%,Niue,2.0,t +34782,90%,Libyan Arab Jamahiriya,1.0,t +26099,99%,Reunion,15.0,f +2042,90%,Gambia,7.0,f +2042,90%,Gambia,7.0,f +23614,100%,Ecuador,4.0,t +24190,,Jersey,1.0,t +39809,100%,Costa Rica,1.0,t +40832,,Faroe Islands,2.0,f +40832,,Faroe Islands,2.0,f +38751,,Greenland,1.0,f +3866,100%,Indonesia,8.0,t +17609,,,1.0,t +21341,80%,Tonga,1.0,f +45161,100%,Togo,2.0,t +8238,91%,Barbados,15.0,t +42901,75%,Lebanon,1.0,t +1420,100%,Afghanistan,2.0,f +21318,100%,Russian Federation,2.0,t +4221,,Niue,1.0,f +4086,,French Guiana,1.0,f +37803,100%,Guinea,1.0,f +1747,,Gambia,1.0,t +674,100%,Gibraltar,4.0,f +20542,80%,Kenya,7.0,t +20542,80%,Kenya,7.0,t +16095,85%,Isle of Man,2.0,t +31379,100%,France,5.0,t +34203,100%,Uzbekistan,2.0,t +14369,,Micronesia,2.0,t +30216,98%,Maldives,34.0,f +40235,,Guinea,1.0,t +49609,100%,Niue,3.0,t +29112,100%,Chad,2.0,f +1566,,Kiribati,1.0,f +34259,100%,Sao Tome and Principe,2.0,t +3131,100%,Tanzania,3.0,f +8442,100%,Tunisia,2.0,t +45987,100%,Jersey,6.0,t +425,,,1.0,f +1594,,Lebanon,1.0,f +46896,100%,Zimbabwe,1.0,t +6546,80%,Bouvet Island (Bouvetoya),1.0,f +26172,,Rwanda,1.0,f +47385,100%,Cape Verde,2.0,t +7759,,Palestinian Territory,1.0,f +41880,,China,2.0,f +17490,,Gambia,1.0,f +13269,100%,Anguilla,3.0,f +13269,100%,Anguilla,3.0,f +39724,86%,Sao Tome and Principe,2.0,f +38426,100%,Turks and Caicos Islands,1.0,f +50052,100%,Finland,1.0,t +34126,100%,French Guiana,1.0,t +19648,,,1.0,f +1890,,Isle of Man,1.0,f +3777,100%,Kiribati,1.0,t +14340,100%,Isle of Man,5.0,t +47152,,Isle of Man,2.0,f +40390,100%,Marshall Islands,2.0,t +20417,,,1.0,f +19289,,Senegal,2.0,t +34259,100%,Sao Tome and Principe,2.0,t +4708,,Uzbekistan,1.0,t +6053,,Sao Tome and Principe,1.0,t +34610,,Gambia,2.0,f +1706,,,1.0,f +3080,100%,Lithuania,2.0,t +23402,,Zimbabwe,1.0,f +24389,100%,,2.0,t +24389,100%,,2.0,t +46789,,Jersey,1.0,t +27555,,United Kingdom,1.0,f +21457,100%,Russian Federation,4.0,t +38689,100%,United Kingdom,6.0,t +32419,,Greenland,2.0,f +48874,100%,Somalia,4.0,t +37343,75%,Ecuador,4.0,t +41382,100%,Kiribati,1.0,f +17725,,,1.0,f +12436,100%,Uganda,1.0,f +34107,,Costa Rica,1.0,f +45741,100%,Uzbekistan,6.0,t +2452,,French Guiana,1.0,t +10950,100%,Greenland,1.0,f +11644,100%,Isle of Man,1.0,f +30197,100%,Micronesia,1.0,t +3939,90%,,3.0,f +48605,100%,Niue,3.0,t +35803,100%,Jersey,2.0,f +27316,100%,Puerto Rico,5.0,f +9748,,,1.0,f +38074,,Niue,1.0,f +13295,100%,Denmark,4.0,f +27316,100%,Puerto Rico,5.0,f +33503,,Anguilla,1.0,t +20272,,Jersey,1.0,f +46217,100%,United Kingdom,4.0,f +28454,100%,Kiribati,3.0,f +21101,100%,Holy See (Vatican City State),1.0,f +22358,,Vanuatu,3.0,f +43807,100%,Palestinian Territory,4.0,f +43807,100%,Palestinian Territory,4.0,f +43807,100%,Palestinian Territory,4.0,f +26729,,Kiribati,2.0,f +15120,100%,El Salvador,1.0,f +21248,,Guinea,1.0,f +35634,,Costa Rica,1.0,f +45819,50%,Gambia,1.0,f +44581,100%,Niger,2.0,f +34753,100%,El Salvador,1.0,t +3686,,United Kingdom,1.0,f +47844,100%,Kiribati,3.0,t +47152,,Isle of Man,2.0,f +34510,100%,Jersey,2.0,t +45987,100%,Jersey,6.0,t +45987,100%,Jersey,6.0,t +46132,100%,Croatia,1.0,t +20649,,,1.0,t +1539,100%,Micronesia,3.0,f +15926,,Russian Federation,1.0,t +16661,100%,Russian Federation,2.0,t +2580,,Uzbekistan,1.0,t +13458,,Lebanon,1.0,t +36524,100%,Saint Helena,8.0,t +37740,,Turkmenistan,1.0,f +4306,83%,China,3.0,f +3877,100%,Monaco,1.0,f +44913,100%,Russian Federation,2.0,f +41712,80%,Zimbabwe,2.0,t +10079,100%,Rwanda,1.0,f +27316,100%,Puerto Rico,5.0,f +23518,,Turks and Caicos Islands,1.0,f +33823,78%,France,17.0,t +16559,,Somalia,1.0,t +36985,100%,Kiribati,7.0,t +49208,100%,Guinea,1.0,f +39576,,Bouvet Island (Bouvetoya),1.0,f +43461,,Guinea,1.0,f +38718,,Uzbekistan,1.0,t +19806,60%,Papua New Guinea,1.0,f +19934,100%,Svalbard & Jan Mayen Islands,2.0,t +18734,100%,Niue,1.0,f +34301,,Turks and Caicos Islands,1.0,f +34296,,Kenya,3.0,f +1741,100%,Malawi,2.0,t +22324,100%,Venezuela,6.0,t +1874,,Uzbekistan,1.0,t +24938,,Barbados,2.0,f +44408,100%,Peru,3.0,f +42262,,Turkmenistan,1.0,f +932,100%,Indonesia,2.0,f +13767,100%,Ukraine,1.0,t +8896,100%,Russian Federation,2.0,t +36497,100%,Niue,2.0,t +4138,,Gambia,1.0,f +8945,,Guinea,1.0,f +9412,,Uganda,2.0,f +9412,,Uganda,2.0,f +14063,100%,Denmark,10.0,t +30934,100%,Malta,1.0,t +10865,88%,Isle of Man,2.0,t +8616,53%,Canada,4.0,t +39630,83%,Senegal,1.0,t +10670,50%,Russian Federation,1.0,t +3075,,Turks and Caicos Islands,2.0,t +40523,,French Guiana,1.0,t +22017,50%,Barbados,2.0,f +19362,100%,Nauru,1.0,t +846,90%,Marshall Islands,1.0,t +32689,100%,,1.0,f +2512,,Cape Verde,6.0,t +3131,100%,Tanzania,3.0,f +8584,100%,Costa Rica,7.0,t +3396,,Chad,4.0,t +1082,,Denmark,1.0,f +37611,,Turkmenistan,1.0,t +19028,,Turkmenistan,1.0,t +7347,100%,Lebanon,2.0,f +47550,100%,Guinea,4.0,t +4167,100%,Niue,1.0,t +16587,,Cocos (Keeling) Islands,2.0,f +5307,100%,Zimbabwe,3.0,t +25348,100%,Suriname,2.0,f +10212,,Turkmenistan,2.0,f +10212,,Turkmenistan,2.0,f +11276,100%,Nicaragua,1.0,t +14629,,Bosnia and Herzegovina,2.0,t +14629,,Bosnia and Herzegovina,2.0,t +22404,100%,French Guiana,1.0,t +103,100%,Brazil,1.0,t +24633,,Chad,3.0,t +28479,40%,Uzbekistan,1.0,t +1854,100%,Senegal,1.0,f +41656,100%,Gambia,4.0,t +4401,100%,Guinea,1.0,f +24861,100%,Rwanda,1.0,t +24765,0%,Tanzania,4.0,t +30216,98%,Maldives,34.0,f +30216,98%,Maldives,34.0,f +15889,80%,Finland,1.0,t +24765,0%,Tanzania,4.0,t +24765,0%,Tanzania,4.0,t +5499,,Kenya,1.0,f +33438,,Chad,1.0,t +37653,100%,Marshall Islands,1.0,t +42439,100%,Cape Verde,3.0,t +2152,,Lebanon,1.0,t +23029,100%,Anguilla,1.0,f +21840,,Lebanon,1.0,t +41431,100%,Nicaragua,2.0,f +46691,90%,Uzbekistan,38.0,f +21035,100%,El Salvador,1.0,t +39657,100%,,2.0,t +17310,,Lebanon,1.0,t +12186,,Croatia,1.0,t +42489,100%,Tonga,3.0,f +44977,100%,,1.0,t +31381,100%,Niue,2.0,f +31381,100%,Niue,2.0,f +41431,100%,Nicaragua,2.0,f +15477,,,1.0,t +45932,0%,Peru,1.0,f +28732,100%,Kenya,1.0,t +49839,90%,Malta,2.0,f +34885,100%,Moldova,1.0,t +28269,100%,Anguilla,2.0,t +12745,100%,Congo,2.0,f +2199,100%,Faroe Islands,1.0,f +31474,100%,Senegal,1.0,t +38249,100%,Holy See (Vatican City State),1.0,f +18961,,Kiribati,2.0,f +35346,100%,,1.0,f +49791,30%,Faroe Islands,2.0,f +24713,,Lebanon,1.0,t +10009,,French Polynesia,1.0,f +24246,100%,Croatia,2.0,t +2115,100%,Jersey,2.0,t +2115,100%,Jersey,2.0,t +42026,100%,,1.0,t +39416,,,1.0,f +41173,80%,Nicaragua,1.0,f +23956,100%,Sao Tome and Principe,1.0,f +29872,,Gibraltar,2.0,t +9295,100%,Nauru,2.0,f +9527,,Denmark,1.0,t +15760,90%,Isle of Man,1.0,f +45447,,,1.0,f +41207,100%,Svalbard & Jan Mayen Islands,1.0,t +29494,56%,,2.0,t +29494,56%,,2.0,t +8429,100%,Cape Verde,2.0,t +30365,100%,,1.0,t +35320,,,1.0,t +26402,100%,Barbados,1.0,t +11024,,Kenya,1.0,f +40245,,,1.0,f +21324,,Bouvet Island (Bouvetoya),1.0,f +27401,100%,,1.0,f +15515,100%,Jersey,1.0,t +17451,50%,,1.0,f +49316,100%,Chad,1.0,t +20801,,Faroe Islands,2.0,f +1769,,Chile,2.0,t +4464,90%,Faroe Islands,2.0,t +44185,0%,Turkmenistan,1.0,t +16946,100%,Philippines,2.0,t +43313,,,1.0,f +26730,,,1.0,f +19141,,Indonesia,1.0,t +30404,100%,Niue,3.0,t +30404,100%,Niue,3.0,t +22856,,Sao Tome and Principe,2.0,t +11338,,Sao Tome and Principe,1.0,f +22030,100%,French Guiana,3.0,t +28391,100%,Kiribati,1.0,t +23838,,,1.0,f +31871,100%,Uzbekistan,1.0,t +37632,100%,Costa Rica,2.0,f +30578,,,1.0,f +18476,,,1.0,f +4120,100%,Zimbabwe,1.0,t +33427,100%,Switzerland,5.0,t +33427,100%,Switzerland,5.0,t +42693,86%,,1.0,t +31449,100%,,1.0,t +34822,,Sao Tome and Principe,1.0,f +35401,,,1.0,f +10543,100%,Pakistan,1.0,t +23125,100%,Nicaragua,2.0,t +14700,100%,Montserrat,3.0,f +14700,100%,Montserrat,3.0,f +177,90%,Svalbard & Jan Mayen Islands,1.0,f +28767,,Afghanistan,1.0,f +7279,100%,France,1.0,t +20297,80%,Montserrat,17.0,f +20976,,Jersey,2.0,f +20976,,Jersey,2.0,f +47358,100%,Mexico,2.0,t +31011,,,1.0,f +18327,100%,Palestinian Territory,2.0,t +38159,100%,,1.0,f +19668,100%,Canada,1.0,t +42428,100%,Uganda,2.0,f +38742,,Malta,1.0,f +27429,100%,Tonga,1.0,f +49221,,,2.0,f +41656,100%,Gambia,4.0,t +15619,,Denmark,2.0,f +2284,,Turks and Caicos Islands,1.0,f +40418,70%,Micronesia,1.0,t +22074,,Jersey,1.0,f +2564,91%,Uzbekistan,2.0,f +43265,100%,Anguilla,3.0,f +29235,100%,Malta,6.0,f +48879,100%,Russian Federation,1.0,t +36636,100%,Kiribati,1.0,f +8495,100%,San Marino,3.0,f +35043,100%,Niger,1.0,t +11887,,Isle of Man,2.0,f +39761,100%,Ecuador,2.0,t +47358,100%,Mexico,2.0,t +9367,,Lebanon,1.0,f +16273,,Lebanon,1.0,t +2526,100%,Brazil,1.0,f +9359,,Kiribati,1.0,f +47328,,Gambia,1.0,f +18842,,Kiribati,1.0,f +33626,,Monaco,1.0,t +17574,,Lebanon,1.0,t +29407,100%,Niue,1.0,f +11793,,Estonia,1.0,f +37662,100%,Kenya,2.0,t +14149,100%,Wallis and Futuna,1.0,t +3597,,,1.0,f +26216,,Bosnia and Herzegovina,4.0,t +34056,,Moldova,1.0,t +15504,0%,Rwanda,2.0,t +31852,,Jersey,1.0,t +18495,100%,Russian Federation,2.0,f +38354,100%,Niue,3.0,f +6883,100%,Niue,1.0,t +31659,,Svalbard & Jan Mayen Islands,1.0,t +3016,,Malta,1.0,f +22504,100%,Zimbabwe,1.0,t +39977,,Lebanon,1.0,t +34587,,Isle of Man,22.0,t +34587,,Isle of Man,22.0,t +47320,100%,Niue,1.0,t +37791,90%,Marshall Islands,3.0,f +10195,100%,Croatia,1.0,t +25988,100%,Russian Federation,2.0,f +44672,,France,1.0,f +7802,100%,Anguilla,1.0,t +37025,,Kenya,1.0,f +12745,100%,Congo,2.0,f +37117,100%,Slovakia (Slovak Republic),2.0,t +43516,,Monaco,1.0,f +33956,100%,Lebanon,1.0,t +10350,100%,Lithuania,2.0,t +2837,,Chile,1.0,f +46282,100%,Turks and Caicos Islands,1.0,f +45152,,,1.0,f +47312,,,1.0,f +44564,100%,Svalbard & Jan Mayen Islands,2.0,t +10702,,Turkmenistan,1.0,f +6870,,Faroe Islands,1.0,f +28860,100%,Lebanon,6.0,t +49822,,El Salvador,1.0,f +24433,0%,Estonia,1.0,f +20592,100%,Uzbekistan,2.0,t +6364,,Russian Federation,1.0,f +36255,100%,Uzbekistan,2.0,t +36255,100%,Uzbekistan,2.0,t +30846,,Nicaragua,1.0,t +198,100%,Philippines,1.0,t +17728,,Lebanon,1.0,f +25473,,Niue,1.0,f +19312,,Costa Rica,1.0,t +26438,,Micronesia,1.0,f +32888,90%,Cocos (Keeling) Islands,1.0,f +21457,100%,Russian Federation,4.0,t +45393,,Bosnia and Herzegovina,1.0,t +20516,100%,Jersey,6.0,t +3052,,Mauritania,3.0,f +3052,,Mauritania,3.0,f +3052,,Mauritania,3.0,f +33781,,Guinea,5.0,t +19984,100%,Ecuador,14.0,t +17650,100%,Tanzania,1.0,f +35625,98%,Estonia,25.0,t +33142,100%,Cape Verde,10.0,f +33142,100%,Cape Verde,10.0,f +44619,100%,Finland,1.0,f +22780,100%,Kenya,2.0,t +1795,,French Guiana,1.0,f +31566,,Sao Tome and Principe,1.0,t +21359,,Mauritania,2.0,t +28571,,Gambia,2.0,f +11099,100%,American Samoa,1.0,t +41954,,Turkmenistan,1.0,f +27754,100%,French Guiana,2.0,t +3131,100%,Tanzania,3.0,f +156,100%,Marshall Islands,2.0,f +49226,,Lebanon,1.0,f +11218,,,1.0,f +31727,,Rwanda,1.0,t +43211,,Lebanon,1.0,t +35931,100%,Guinea,1.0,f +31048,100%,Lebanon,1.0,f +5033,100%,Indonesia,1.0,f +3911,100%,Andorra,1.0,f +42073,,Greenland,1.0,f +26939,100%,Philippines,6.0,f +35625,98%,Estonia,25.0,t +46922,,Lebanon,2.0,f +46922,,Lebanon,2.0,f +38174,,Kiribati,1.0,f +37870,,Congo,1.0,t +6438,,Vanuatu,2.0,f +14324,,Micronesia,1.0,f +29750,,Guinea,2.0,t +22867,100%,Grenada,1.0,t +39467,100%,Nicaragua,4.0,t +28571,,Gambia,2.0,f +14215,70%,Holy See (Vatican City State),2.0,t +5041,100%,Chile,7.0,f +5223,100%,Chile,1.0,t +35528,,Costa Rica,1.0,f +16415,,Lebanon,1.0,f +15413,80%,Vanuatu,7.0,t +38514,,Kenya,1.0,f +6607,100%,Zimbabwe,1.0,f +19833,,Mauritania,1.0,f +16077,90%,Gibraltar,2.0,t +16140,100%,Uzbekistan,2.0,f +20152,100%,Bahrain,2.0,t +37791,90%,Marshall Islands,3.0,f +6038,,,1.0,f +33400,97%,Zimbabwe,5.0,t +33400,97%,Zimbabwe,5.0,t +16184,100%,Malta,2.0,f +10698,90%,Chile,2.0,f +29476,,Bouvet Island (Bouvetoya),1.0,f +40047,,Malta,1.0,f +38693,100%,Estonia,1.0,t +1164,,Tonga,1.0,t +2980,,Micronesia,1.0,t +35714,100%,Malawi,2.0,f +9305,100%,Sao Tome and Principe,2.0,t +30298,,Turks and Caicos Islands,1.0,f +16690,88%,Malawi,2.0,t +33987,100%,Kenya,1.0,t +1348,100%,Turks and Caicos Islands,1.0,f +40281,100%,,3.0,f +7941,57%,Kiribati,1.0,t +42135,,Turks and Caicos Islands,1.0,t +16793,,Vanuatu,1.0,f +29918,100%,Vietnam,2.0,t +46451,,Russian Federation,1.0,f +13831,100%,Russian Federation,1.0,t +42614,,Russian Federation,1.0,f +22380,100%,Christmas Island,1.0,f +41900,,Anguilla,1.0,t +9932,100%,France,1.0,f +43455,,Lebanon,1.0,f +35827,,Kiribati,1.0,f +43481,100%,Russian Federation,4.0,t +49050,,Uganda,1.0,t +9432,,Brazil,1.0,f +42458,97%,Indonesia,14.0,t +45912,,Jersey,1.0,t +1272,,Somalia,1.0,f +10698,90%,Chile,2.0,f +24246,100%,Croatia,2.0,t +38640,70%,Sao Tome and Principe,1.0,t +8584,100%,Costa Rica,7.0,t +15079,100%,Mexico,1.0,t +1536,100%,Grenada,2.0,f +37912,100%,Papua New Guinea,2.0,t +12722,100%,Costa Rica,1.0,f +39643,100%,Zimbabwe,3.0,t +24781,100%,Svalbard & Jan Mayen Islands,1.0,t +23308,100%,Tonga,2.0,t +14754,67%,Chad,1.0,t +37298,,Montserrat,1.0,t +2132,60%,Jersey,2.0,f +30112,,Uzbekistan,1.0,t +39048,,Wallis and Futuna,1.0,f +3623,100%,Guinea,1.0,t +7859,,Niue,1.0,f +43961,100%,Gibraltar,9.0,t +10424,,Turks and Caicos Islands,1.0,f +20801,,Faroe Islands,2.0,f +42498,,Malawi,1.0,t +12752,,Zimbabwe,2.0,f +30276,,Isle of Man,1.0,t +1539,100%,Micronesia,3.0,f +32060,,Russian Federation,1.0,t +270,,Micronesia,1.0,t +2765,,Zimbabwe,1.0,f +30435,99%,Cape Verde,41.0,f +17233,100%,Chad,1.0,t +12017,100%,Guinea,1.0,f +21115,,,1.0,f +6871,,Chad,2.0,t +11883,,Kenya,1.0,f +11592,,Switzerland,1.0,f +31786,100%,Barbados,2.0,t +15265,,Niue,1.0,f +2251,,Guernsey,1.0,t +6089,,Portugal,1.0,f +7777,,Pakistan,2.0,f +3840,100%,Estonia,1.0,t +34669,100%,Bosnia and Herzegovina,1.0,t +1539,100%,Micronesia,3.0,f +22091,100%,Faroe Islands,9.0,f +17735,100%,Russian Federation,2.0,f +44455,100%,Micronesia,1.0,t +46094,,Turkmenistan,1.0,f +1294,100%,Lebanon,1.0,f +44211,,El Salvador,1.0,f +21524,100%,Reunion,1.0,t +43684,80%,Mauritania,1.0,t +16184,100%,Malta,2.0,f +38836,100%,Lebanon,3.0,f +18809,100%,Somalia,1.0,t +47371,,Guinea,1.0,f +35086,,Brazil,1.0,f +17361,100%,Netherlands Antilles,1.0,f +46720,,Denmark,1.0,t +39955,100%,Chad,1.0,t +15619,,Denmark,2.0,f +38642,,Croatia,2.0,f +38747,,Zimbabwe,1.0,t +1895,,Turks and Caicos Islands,1.0,f +30922,100%,Lebanon,1.0,t +31284,100%,Niue,1.0,f +48515,100%,Croatia,2.0,t +19078,,Croatia,2.0,f +12225,,Finland,1.0,t +19695,,Gibraltar,1.0,t +30439,,,1.0,f +42108,,Gambia,1.0,t +15673,,Russian Federation,1.0,f +44046,100%,Cuba,1.0,t +38100,100%,Isle of Man,2.0,t +49848,,Reunion,1.0,t +28269,100%,Anguilla,2.0,t +35125,,Kenya,2.0,t +1678,,Sao Tome and Principe,1.0,t +10842,100%,Niue,1.0,f +35176,100%,Chile,3.0,t +48356,100%,Jersey,3.0,t +18524,100%,Philippines,2.0,t +45070,100%,Micronesia,1.0,t +47939,89%,Niue,1.0,t +41591,,Tunisia,1.0,f +3107,,Kiribati,1.0,f +40729,,Niue,2.0,f +2584,100%,Faroe Islands,5.0,f +2584,100%,Faroe Islands,5.0,f +2584,100%,Faroe Islands,5.0,f +2584,100%,Faroe Islands,5.0,f +18043,100%,Niue,1.0,t +33514,100%,Marshall Islands,2.0,t +21642,100%,Denmark,1.0,f +16590,,Gambia,1.0,f +31016,100%,Chile,1.0,t +39151,,United Kingdom,1.0,f +4262,,,1.0,f +27227,100%,Isle of Man,2.0,t +8867,100%,Turkmenistan,1.0,f +43584,,Turks and Caicos Islands,1.0,t +27355,100%,Malta,1.0,t +46297,100%,Sao Tome and Principe,12.0,t +46691,90%,Uzbekistan,38.0,f +18080,,Lebanon,1.0,t +29664,100%,Jersey,1.0,f +48614,100%,,1.0,t +40801,,Lebanon,1.0,t +21676,80%,Monaco,2.0,f +32651,100%,Guinea,1.0,t +41425,,Tonga,1.0,f +36076,100%,,1.0,f +26087,,Costa Rica,1.0,t +5076,100%,Jersey,2.0,t +37626,,Micronesia,3.0,f +46649,,Guinea,3.0,t +8695,,Papua New Guinea,1.0,f +35240,100%,Puerto Rico,4.0,f +18178,,Micronesia,1.0,f +12034,,Bosnia and Herzegovina,1.0,f +7394,,Indonesia,1.0,t +28653,100%,Russian Federation,3.0,t +22881,,Barbados,5.0,t +17545,,Afghanistan,1.0,f +7063,,Lebanon,1.0,t +22856,,Sao Tome and Principe,2.0,t +9624,100%,Uzbekistan,1.0,t +31553,100%,Lebanon,1.0,f +29760,100%,Malawi,1.0,t +44869,,Russian Federation,1.0,f +17240,,Kiribati,1.0,f +17735,100%,Russian Federation,2.0,f +44980,100%,Marshall Islands,1.0,f +8837,,Russian Federation,1.0,f +40562,,Faroe Islands,1.0,f +42703,100%,Zimbabwe,1.0,t +48132,100%,Chile,2.0,t +33514,100%,Marshall Islands,2.0,t +37463,,,1.0,f +16209,80%,Ecuador,3.0,f +38251,100%,Zimbabwe,1.0,t +34234,0%,Zimbabwe,2.0,t +12799,80%,Faroe Islands,2.0,f +11103,72%,Russian Federation,3.0,f +28860,100%,Lebanon,6.0,t +28860,100%,Lebanon,6.0,t +40752,100%,Tunisia,5.0,t +17141,100%,Turks and Caicos Islands,1.0,t +4297,100%,Kenya,4.0,t +29657,,Costa Rica,1.0,t +47306,100%,,2.0,f +5559,,Cape Verde,1.0,t +26561,,Anguilla,3.0,f +19774,100%,Uruguay,1.0,t +24560,,El Salvador,1.0,f +5550,,Zimbabwe,1.0,f +21204,,Netherlands,1.0,t +16503,100%,Brazil,1.0,t +6232,,Guinea,15.0,t +30216,98%,Maldives,34.0,f +30216,98%,Maldives,34.0,f +36148,100%,Micronesia,1.0,t +30216,98%,Maldives,34.0,f +30216,98%,Maldives,34.0,f +44889,,Micronesia,1.0,f +48203,,Guinea,1.0,f +32587,,Jersey,1.0,f +23543,100%,Spain,5.0,t +28936,100%,Mexico,1.0,t +23359,,Afghanistan,1.0,f +1278,,Kiribati,1.0,f +26561,,Anguilla,3.0,f +26561,,Anguilla,3.0,f +14215,70%,Holy See (Vatican City State),2.0,t +19050,100%,Kiribati,2.0,t +19050,100%,Kiribati,2.0,t +17726,,Lebanon,1.0,t +47306,100%,,2.0,f +13510,100%,Fiji,3.0,t +15874,100%,Somalia,2.0,t +11878,0%,Jersey,1.0,f +31100,,Nicaragua,1.0,f +22702,,Niue,1.0,f +17109,,Marshall Islands,1.0,t +19354,,Costa Rica,1.0,f +41044,,Chile,1.0,f +15075,,El Salvador,1.0,f +28415,,,1.0,f +31603,,Turks and Caicos Islands,1.0,f +37187,,France,3.0,t +11716,100%,,2.0,t +26939,100%,Philippines,6.0,f +20890,90%,Uzbekistan,3.0,t +43934,,,1.0,f +20592,100%,Uzbekistan,2.0,t +26704,100%,Malawi,2.0,t +7469,,Russian Federation,1.0,t +37912,100%,Papua New Guinea,2.0,t +8320,90%,Guinea,1.0,f +49765,100%,Uzbekistan,1.0,t +35866,,Guernsey,1.0,t +14539,100%,Nicaragua,1.0,t +28718,,Gambia,1.0,f +48818,,Croatia,1.0,t +29086,100%,Tunisia,1.0,t +49563,,Chad,1.0,f +37011,,Svalbard & Jan Mayen Islands,2.0,f +31991,,Croatia,1.0,t +26319,,Turks and Caicos Islands,1.0,f +15303,100%,Tunisia,2.0,f +44864,,Malta,3.0,t +15087,,Zimbabwe,2.0,t +42867,100%,Indonesia,2.0,t +3474,100%,Niue,2.0,f +15300,100%,Russian Federation,3.0,t +45891,86%,Bosnia and Herzegovina,1.0,t +12303,100%,Croatia,2.0,f +48674,100%,Isle of Man,2.0,f +11655,,Slovenia,1.0,f +25854,,Sao Tome and Principe,1.0,f +37273,,Isle of Man,1.0,f +34401,50%,Micronesia,4.0,f +43638,,Guinea,1.0,f +46814,,Niue,1.0,f +12701,100%,Monaco,1.0,f +49839,90%,Malta,2.0,f +48652,100%,Isle of Man,1.0,t +13271,90%,El Salvador,1.0,f +9243,100%,Isle of Man,1.0,f +5702,100%,Monaco,2.0,f +49361,,Jersey,2.0,t +38681,,Gambia,1.0,f +30797,90%,Tunisia,1.0,f +45741,100%,Uzbekistan,6.0,t +20554,,Chile,1.0,f +45741,100%,Uzbekistan,6.0,t +11970,,Malawi,1.0,t +19423,100%,,1.0,t +13201,100%,Kenya,1.0,f +28907,,Marshall Islands,1.0,f +23413,,Tanzania,1.0,t +44939,100%,Sao Tome and Principe,1.0,t +49909,100%,Denmark,2.0,t +42322,88%,Uzbekistan,4.0,f +11206,100%,Kenya,2.0,f +37475,100%,French Guiana,1.0,t +39511,,Uruguay,1.0,t +15334,,Estonia,1.0,t +49909,100%,Denmark,2.0,t +2824,25%,Barbados,5.0,f +46307,100%,Zimbabwe,3.0,f +22072,100%,Palestinian Territory,2.0,f +26537,100%,Turks and Caicos Islands,2.0,f +11098,,Kiribati,1.0,f +5076,100%,Jersey,2.0,t +19984,100%,Ecuador,14.0,t +25346,,,1.0,f +12130,100%,Russian Federation,1.0,t +7586,75%,Costa Rica,1.0,t +26537,100%,Turks and Caicos Islands,2.0,f +10696,,El Salvador,1.0,t +37674,100%,Russian Federation,1.0,f +12847,100%,France,2.0,f +17150,,Vanuatu,2.0,t +29998,,Cocos (Keeling) Islands,2.0,f +5822,50%,Tunisia,1.0,t +10472,100%,Zimbabwe,2.0,f +37511,100%,Niue,1.0,f +35240,100%,Puerto Rico,4.0,f +35240,100%,Puerto Rico,4.0,f +14870,100%,Jersey,1.0,t +22098,80%,Marshall Islands,2.0,t +20296,,Zimbabwe,1.0,t +22215,,Nicaragua,2.0,f +26729,,Kiribati,2.0,f +14034,100%,Russian Federation,1.0,f +44336,83%,Monaco,1.0,t +49515,100%,Libyan Arab Jamahiriya,4.0,f +49515,100%,Libyan Arab Jamahiriya,4.0,f +24265,75%,Ecuador,2.0,f +39528,100%,Turks and Caicos Islands,1.0,f +17359,,Chad,1.0,f +1158,,Lebanon,1.0,f +29675,,Lebanon,1.0,f +12237,,Lebanon,1.0,f +17957,,Croatia,1.0,f +3424,100%,Costa Rica,1.0,t +22860,100%,Turkmenistan,2.0,t +44578,100%,Niue,2.0,t +18397,100%,Barbados,1.0,t +4378,100%,Tonga,4.0,f +19249,100%,Uganda,4.0,f +41378,100%,Kiribati,1.0,f +44131,100%,,1.0,f +32320,100%,Mexico,1.0,f +17628,,Chile,1.0,t +40729,,Niue,2.0,f +28681,100%,Guinea,1.0,f +32612,,Tanzania,1.0,t +30563,,Australia,1.0,f +40091,100%,Niue,2.0,t +26482,,Estonia,1.0,f +26991,,Gambia,1.0,f +42322,88%,Uzbekistan,4.0,f +24176,100%,Kiribati,2.0,f +36537,100%,Guinea,1.0,t +17120,100%,Uzbekistan,2.0,t +44603,,Estonia,1.0,f +9953,,Somalia,1.0,f +21841,100%,Puerto Rico,3.0,t +16006,100%,Tanzania,3.0,t +15271,100%,Chile,3.0,t +43191,0%,Afghanistan,1.0,f +26152,100%,Anguilla,6.0,t +29027,,Costa Rica,1.0,f +46297,100%,Sao Tome and Principe,12.0,t +16822,100%,Uzbekistan,1.0,t +30313,67%,Australia,2.0,f +11850,,Micronesia,1.0,f +30575,,Isle of Man,1.0,f +12597,,Zimbabwe,1.0,f +46307,100%,Zimbabwe,3.0,f +47515,0%,Kiribati,1.0,f +17396,100%,Micronesia,1.0,f +9876,,Costa Rica,1.0,f +36431,,Guinea,1.0,f +2574,100%,Jersey,1.0,t +25478,,Turks and Caicos Islands,1.0,f +45474,100%,El Salvador,4.0,t +5567,100%,Bosnia and Herzegovina,2.0,t +46297,100%,Sao Tome and Principe,12.0,t +39013,86%,Russian Federation,1.0,t +2912,,Sao Tome and Principe,1.0,t +17930,100%,Jersey,2.0,t +44864,,Malta,3.0,t +29064,,Costa Rica,1.0,f +4704,,United Kingdom,1.0,f +28523,57%,Niue,1.0,f +38240,80%,Guinea,2.0,f +48892,100%,Isle of Man,1.0,t +44885,100%,Philippines,1.0,t +17722,,Cuba,1.0,t +41968,100%,Venezuela,1.0,f +7572,100%,Guernsey,1.0,f +47909,100%,Russian Federation,1.0,t +4013,100%,Malta,1.0,f +11506,,,1.0,f +28260,100%,United Kingdom,1.0,f +7299,100%,Svalbard & Jan Mayen Islands,1.0,f +13693,100%,United Kingdom,5.0,t +19221,100%,,1.0,t +31791,0%,Brazil,1.0,f +45755,100%,Venezuela,3.0,f +9038,100%,Marshall Islands,3.0,t +23962,,Guinea,2.0,t +23962,,Guinea,2.0,t +19078,,Croatia,2.0,f +9939,100%,Philippines,24.0,f +33526,,Reunion,1.0,t +43300,,Nicaragua,2.0,t +11633,,Anguilla,1.0,f +5689,,Mauritania,1.0,f +9089,,,2.0,f +11049,100%,French Guiana,1.0,t +466,,Lebanon,1.0,f +10028,,El Salvador,1.0,t +21158,,Lebanon,2.0,t +47744,100%,,3.0,t +4267,100%,Senegal,22.0,t +48142,,Monaco,2.0,f +43352,,Ghana,1.0,f +48142,,Monaco,2.0,f +32039,,Guinea,5.0,f +8291,,,1.0,f +46828,,Wallis and Futuna,1.0,t +7069,,Micronesia,1.0,f +34344,100%,Denmark,1.0,f +46297,100%,Sao Tome and Principe,12.0,t +9939,100%,Philippines,24.0,f +43631,,Rwanda,2.0,f +38897,100%,Uruguay,1.0,f +34684,100%,El Salvador,2.0,t +41566,,Russian Federation,1.0,f +5348,,Gibraltar,1.0,t +39555,100%,Marshall Islands,13.0,t +30311,,Niue,2.0,f +31759,40%,Rwanda,1.0,t +35170,100%,Vietnam,5.0,t +12207,,Indonesia,1.0,t +5603,100%,Niue,1.0,f +34784,60%,Faroe Islands,19.0,t +17232,,France,1.0,f +39555,100%,Marshall Islands,13.0,t +21869,,Lebanon,1.0,t +727,,Holy See (Vatican City State),1.0,t +50047,,Russian Federation,2.0,t +36579,100%,Jersey,1.0,f +30118,100%,Nicaragua,1.0,f +761,100%,,2.0,f +3039,100%,Tonga,1.0,t +37761,100%,Turkmenistan,2.0,f +22508,100%,Gambia,1.0,t +11339,,Kiribati,2.0,t +834,100%,Indonesia,1.0,f +44736,100%,Guernsey,1.0,t +34739,,Afghanistan,1.0,t +24765,0%,Tanzania,4.0,t +17150,,Vanuatu,2.0,t +43781,,Lebanon,1.0,f +4015,100%,Uzbekistan,1.0,t +8893,,Lebanon,1.0,f +27390,25%,Niue,2.0,f +23415,,Papua New Guinea,1.0,f +44337,,Portugal,1.0,f +33480,,Guernsey,1.0,t +16946,100%,Philippines,2.0,t +45546,100%,Cape Verde,19.0,t +45124,,Costa Rica,2.0,f +45124,,Costa Rica,2.0,f +44421,,Monaco,1.0,f +44365,100%,Russian Federation,2.0,t +47222,,Marshall Islands,1.0,f +12579,,Jersey,1.0,t +29396,,Somalia,1.0,t +36819,100%,,1.0,t +4959,,Brazil,1.0,f +20908,100%,Maldives,1.0,t +23065,,Kenya,1.0,f +23211,,Turks and Caicos Islands,3.0,t +33293,,Malawi,1.0,f +24941,,Kenya,1.0,f +30385,,Lithuania,1.0,f +36422,,Montserrat,1.0,f +12418,100%,Uruguay,1.0,f +30039,100%,Russian Federation,4.0,t +17533,0%,Mauritania,1.0,f +42483,,Cape Verde,1.0,f +20463,100%,Lithuania,2.0,f +20350,100%,,1.0,f +32744,100%,Russian Federation,2.0,f +30453,,Svalbard & Jan Mayen Islands,1.0,f +32744,100%,Russian Federation,2.0,f +28420,100%,Costa Rica,1.0,t +35020,100%,Jersey,1.0,t +12731,,Costa Rica,1.0,f +20698,80%,Maldives,1.0,t +24906,,Zimbabwe,1.0,f +33400,97%,Zimbabwe,5.0,t +45600,100%,Gibraltar,2.0,f +25870,100%,Croatia,1.0,t +27286,100%,Vanuatu,1.0,t +7218,100%,,1.0,t +9235,,Ecuador,1.0,t +34167,,France,1.0,f +35196,,Tonga,1.0,t +8929,,Indonesia,1.0,f +15137,100%,Marshall Islands,10.0,t +40509,,Congo,1.0,f +40340,,Lithuania,1.0,f +10272,100%,Costa Rica,1.0,t +4211,,Finland,1.0,f +16210,50%,Mauritania,1.0,t +41845,,Niue,1.0,t +37873,,Kiribati,2.0,f +38758,,Gambia,1.0,f +23125,100%,Nicaragua,2.0,t +33062,100%,El Salvador,1.0,t +26515,,Russian Federation,1.0,f +19115,,Croatia,1.0,t +43640,100%,Turks and Caicos Islands,1.0,f +35220,,Uzbekistan,1.0,t +21710,,Isle of Man,2.0,t +18984,100%,Bosnia and Herzegovina,1.0,f +724,100%,Zimbabwe,8.0,f +43790,90%,Sao Tome and Principe,1.0,t +12689,,Christmas Island,1.0,f +43621,,Lebanon,1.0,t +35029,100%,Niue,4.0,f +14970,100%,Marshall Islands,1.0,t +3805,,Uzbekistan,1.0,f +21404,,Marshall Islands,1.0,f +25530,,Senegal,1.0,t +41861,100%,Zimbabwe,1.0,t +713,,Lebanon,2.0,f +29901,33%,Lithuania,1.0,t +40091,100%,Niue,2.0,t +30937,,Zimbabwe,1.0,t +1642,100%,Marshall Islands,17.0,f +32395,,Tonga,1.0,f +17244,,Lebanon,2.0,t +34563,,,2.0,t +4740,,Kiribati,1.0,f +23403,,Denmark,1.0,t +19634,,Chile,1.0,f +21664,100%,Guinea,1.0,t +35428,,Switzerland,1.0,t +49437,90%,Cuba,2.0,f +24082,,Russian Federation,1.0,f +40887,,,1.0,t +46089,100%,Sao Tome and Principe,3.0,t +24632,100%,Croatia,4.0,t +33327,100%,,3.0,f +36988,88%,Svalbard & Jan Mayen Islands,3.0,t +40540,,Cape Verde,7.0,f +37761,100%,Turkmenistan,2.0,f +15503,86%,Korea,1.0,t +26653,,Lebanon,1.0,t +40540,,Cape Verde,7.0,f +45599,,Lebanon,1.0,f +37105,,Zimbabwe,1.0,f +49154,100%,Indonesia,3.0,t +18781,,Gambia,1.0,f +43335,100%,Zimbabwe,1.0,t +11887,,Isle of Man,2.0,f +5799,,,2.0,f +29725,,Guinea,2.0,t +35176,100%,Chile,3.0,t +5980,,Kiribati,1.0,f +1371,,Turks and Caicos Islands,1.0,f +9793,,France,1.0,t +9689,100%,Guinea,2.0,f +19158,,Pakistan,2.0,t +3497,,Uzbekistan,2.0,t +39249,,Slovakia (Slovak Republic),1.0,f +15413,80%,Vanuatu,7.0,t +41478,100%,Monaco,2.0,f +7932,,,2.0,f +3747,,,1.0,f +13601,,Kiribati,1.0,t +23891,90%,Zimbabwe,3.0,t +38176,,Estonia,1.0,f +35085,100%,Congo,1.0,f +17724,,Turks and Caicos Islands,6.0,t +40412,97%,Netherlands,26.0,t +14909,,Uganda,1.0,t +36654,100%,Sao Tome and Principe,2.0,f +8682,,France,2.0,f +10255,,Malta,1.0,f +4966,,Estonia,1.0,f +36245,,Zimbabwe,1.0,t +48934,,Gambia,2.0,f +49154,100%,Indonesia,3.0,t +17062,100%,Jersey,1.0,f +6748,,Costa Rica,1.0,t +20873,90%,Nicaragua,1.0,t +6085,,Costa Rica,1.0,f +14926,100%,Gambia,2.0,t +16350,,Uzbekistan,2.0,f +12790,,Zimbabwe,1.0,f +23277,,Finland,1.0,t +26824,,Denmark,1.0,f +44859,,,2.0,f +34066,100%,,2.0,t +6088,100%,,14.0,t +44576,,Zimbabwe,1.0,f +29253,100%,Maldives,2.0,t +43847,,Suriname,1.0,f +37632,100%,Costa Rica,2.0,f +3764,,China,1.0,t +3294,100%,Uganda,3.0,f +44145,100%,Rwanda,4.0,t +7445,100%,Lebanon,1.0,f +9689,100%,Guinea,2.0,f +14263,,China,1.0,f +35606,0%,Zimbabwe,1.0,f +44859,,,2.0,f +44755,,Malawi,1.0,f +5169,100%,Uzbekistan,1.0,t +17105,100%,Uzbekistan,1.0,t +21834,,,1.0,f +38280,100%,Isle of Man,1.0,f +39748,,Bosnia and Herzegovina,3.0,t +31655,,Grenada,1.0,t +1175,100%,Monaco,2.0,t +24995,,Gambia,3.0,t +24995,,Gambia,3.0,t +24995,,Gambia,3.0,t +17313,,Costa Rica,1.0,f +35321,100%,Russian Federation,2.0,t +32640,100%,Lebanon,1.0,f +30232,,Niue,1.0,f +46598,0%,Zimbabwe,1.0,f +43634,100%,Fiji,2.0,t +18961,,Kiribati,2.0,f +1779,,China,1.0,f +44964,,Lebanon,1.0,t +8604,,Micronesia,1.0,f +34401,50%,Micronesia,4.0,f +25970,100%,Gambia,1.0,f +49673,92%,Malawi,3.0,f +49673,92%,Malawi,3.0,f +9148,100%,Uganda,1.0,t +32884,,Puerto Rico,1.0,f +49638,100%,Portugal,2.0,f +12144,100%,Niue,4.0,t +12144,100%,Niue,4.0,t +10853,100%,Guinea,5.0,f +45685,0%,Finland,1.0,t +38230,100%,Niue,3.0,t +49520,100%,Gambia,1.0,t +11250,,Monaco,1.0,f +48329,,Sao Tome and Principe,1.0,t +47298,100%,Lebanon,1.0,t +34401,50%,Micronesia,4.0,f +8095,100%,Maldives,1.0,t +12851,,Peru,1.0,t +33228,,Chile,1.0,f +40941,94%,Russian Federation,4.0,t +23940,,Turks and Caicos Islands,1.0,f +9745,,,1.0,t +11693,67%,Mauritania,1.0,f +47743,,Chile,1.0,f +23215,100%,Djibouti,2.0,f +5361,100%,Niger,3.0,t +17400,,Tunisia,1.0,f +7932,,,2.0,f +40968,100%,Vietnam,1.0,t +36322,,Chile,1.0,f +29379,,Cape Verde,1.0,t +6187,100%,Micronesia,2.0,t +40412,97%,Netherlands,26.0,t +26896,100%,Tonga,3.0,f +33964,,French Guiana,3.0,f +41676,,Uzbekistan,1.0,t +40412,97%,Netherlands,26.0,t +30108,100%,Bosnia and Herzegovina,1.0,f +27918,,Chad,1.0,t +27362,,Tanzania,1.0,f +5061,,Guinea,1.0,f +15381,,Monaco,1.0,t +5115,,Togo,1.0,t +14017,100%,Nicaragua,2.0,t +33598,70%,Holy See (Vatican City State),1.0,t +19372,100%,Chad,3.0,f +5925,,Kiribati,1.0,f +4232,100%,Bouvet Island (Bouvetoya),3.0,t +4232,100%,Bouvet Island (Bouvetoya),3.0,t +48356,100%,Jersey,3.0,t +18259,,Uganda,1.0,t +12702,,China,3.0,f +49878,100%,Maldives,2.0,t +37491,100%,Lebanon,1.0,t +45595,100%,Malawi,1.0,t +44740,,Bouvet Island (Bouvetoya),2.0,t +24112,100%,Russian Federation,1.0,t +333,,Tonga,1.0,t +990,,Costa Rica,1.0,f +17684,,Kenya,1.0,t +14621,,Niger,1.0,f +11817,,Tonga,3.0,f +41885,100%,French Guiana,1.0,f +35243,100%,Kenya,2.0,t +14894,100%,Lebanon,1.0,t +16048,,Russian Federation,1.0,f +24880,,Costa Rica,1.0,f +24926,100%,Micronesia,2.0,t +11229,,Korea,1.0,f +26089,100%,Jersey,1.0,t +41130,,Zimbabwe,1.0,f +16095,85%,Isle of Man,2.0,t +5294,,Russian Federation,1.0,t +12935,100%,Malawi,1.0,t +6137,,Guinea,1.0,f +9403,,Papua New Guinea,1.0,f +2483,,Gambia,1.0,f +34108,,French Guiana,1.0,t +12169,100%,Cape Verde,2.0,t +33847,,Guinea,2.0,f +22015,80%,Lebanon,1.0,t +32299,100%,Guinea,6.0,t +42428,100%,Uganda,2.0,f +9039,83%,Sao Tome and Principe,1.0,t +17011,100%,Niger,1.0,f +16051,80%,Barbados,1.0,t +12144,100%,Niue,4.0,t +42023,,Marshall Islands,1.0,f +12144,100%,Niue,4.0,t +24314,,Niue,1.0,f +119,,Estonia,1.0,f +7251,100%,Turks and Caicos Islands,3.0,t +48667,100%,Guinea,1.0,f +43643,,Zimbabwe,1.0,f +7251,100%,Turks and Caicos Islands,3.0,t +9914,100%,Guernsey,2.0,f +49685,100%,Brazil,2.0,t +11588,100%,Faroe Islands,2.0,f +44835,100%,United Kingdom,3.0,f +21824,,Bouvet Island (Bouvetoya),1.0,f +48431,83%,,2.0,f +34250,,Bosnia and Herzegovina,2.0,t +44640,100%,French Polynesia,4.0,t +10333,,Nicaragua,1.0,f +26388,,Kiribati,1.0,f +46421,80%,Croatia,2.0,t +44147,93%,Uzbekistan,2.0,t +5361,100%,Niger,3.0,t +11584,100%,Chad,1.0,t +49383,100%,Guinea,1.0,t +7948,,Monaco,1.0,t +22193,,Svalbard & Jan Mayen Islands,1.0,t +24858,100%,Indonesia,2.0,t +28454,100%,Kiribati,3.0,f +43519,100%,Kenya,1.0,t +4249,,Venezuela,1.0,t +21809,100%,French Guiana,2.0,t +18449,,Guinea,1.0,f +4963,100%,Anguilla,1.0,f +31278,,Somalia,1.0,t +46229,,French Guiana,1.0,t +33483,,French Guiana,1.0,f +37375,,Gambia,1.0,f +366,,Svalbard & Jan Mayen Islands,1.0,t +29932,100%,France,2.0,t +38836,100%,Lebanon,3.0,f +12384,,Djibouti,1.0,t +22842,,Gambia,1.0,t +11316,100%,Uzbekistan,4.0,t +38836,100%,Lebanon,3.0,f +35352,,Estonia,2.0,t +14887,100%,Guinea,1.0,f +46235,,Turks and Caicos Islands,1.0,f +49865,,Costa Rica,1.0,t +42186,60%,Zimbabwe,3.0,t +2718,,Costa Rica,3.0,f +7447,100%,Croatia,1.0,t +44640,100%,French Polynesia,4.0,t +9725,,Venezuela,1.0,t +10846,,Denmark,1.0,t +39852,100%,Grenada,2.0,t +39852,100%,Grenada,2.0,t +39104,,Togo,1.0,f +42458,97%,Indonesia,14.0,t +14533,100%,Jersey,1.0,t +549,,Libyan Arab Jamahiriya,1.0,f +26387,100%,Isle of Man,6.0,t +39490,100%,Gambia,2.0,t +39129,67%,Mauritania,3.0,t +20627,,Bahrain,1.0,t +33528,100%,Tonga,1.0,t +19984,100%,Ecuador,14.0,t +2902,100%,Nicaragua,1.0,t +48961,90%,Turkmenistan,2.0,t +35382,100%,Kenya,1.0,f +45837,,Chile,1.0,t +7165,100%,Brazil,5.0,t +13376,100%,Zimbabwe,3.0,f +13376,100%,Zimbabwe,3.0,f +2718,,Costa Rica,3.0,f +42858,100%,Philippines,1.0,t +43992,100%,Uzbekistan,3.0,t +39832,100%,Guinea,3.0,f +44999,,Lebanon,1.0,t +19984,100%,Ecuador,14.0,t +95,100%,Chile,3.0,t +33838,,,1.0,t +5786,,El Salvador,2.0,f +42322,88%,Uzbekistan,4.0,f +42186,60%,Zimbabwe,3.0,t +9111,,Lebanon,2.0,f +37646,100%,Estonia,60.0,f +39467,100%,Nicaragua,4.0,t +13703,50%,Kenya,2.0,f +21164,,Uganda,2.0,t +11683,,Russian Federation,1.0,t +8936,,Cocos (Keeling) Islands,1.0,f +40290,100%,Tanzania,1.0,t +25500,,Lebanon,3.0,t +25500,,Lebanon,3.0,t +46528,100%,Uzbekistan,3.0,t +2718,,Costa Rica,3.0,f +40412,97%,Netherlands,26.0,t +1152,,Bosnia and Herzegovina,2.0,t +14815,,Sao Tome and Principe,1.0,f +48991,76%,Bosnia and Herzegovina,7.0,t +19461,100%,Isle of Man,5.0,f +34495,100%,Uzbekistan,1.0,t +29444,100%,Lebanon,2.0,f +8439,97%,Rwanda,17.0,t +1235,,Ukraine,2.0,f +20218,100%,Slovakia (Slovak Republic),11.0,t +29725,,Guinea,2.0,t +40384,89%,Vietnam,1.0,t +2725,100%,,3.0,t +45206,100%,Ecuador,2.0,t +7017,,Lebanon,1.0,f +12980,100%,Uzbekistan,3.0,t +5597,,Libyan Arab Jamahiriya,1.0,f +45885,0%,Russian Federation,3.0,t +45461,,Cuba,1.0,t +47744,100%,,3.0,t +43056,100%,Kenya,1.0,f +10526,,Somalia,1.0,t +40227,100%,Tanzania,1.0,t +6620,50%,Niue,3.0,t +37343,75%,Ecuador,4.0,t +25525,90%,Faroe Islands,3.0,t +40412,97%,Netherlands,26.0,t +40412,97%,Netherlands,26.0,t +11716,100%,,2.0,t +8584,100%,Costa Rica,7.0,t +20229,100%,Papua New Guinea,1.0,f +40412,97%,Netherlands,26.0,t +18958,,Niue,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +36692,,Guinea,2.0,f +890,100%,Zimbabwe,3.0,f +46161,100%,Zimbabwe,2.0,t +46161,100%,Zimbabwe,2.0,t +24278,,Sao Tome and Principe,1.0,f +34253,,Lebanon,1.0,f +9815,100%,Nicaragua,1.0,t +30666,90%,Gibraltar,2.0,t +30666,90%,Gibraltar,2.0,t +5777,100%,Puerto Rico,3.0,t +43634,100%,Fiji,2.0,t +15416,100%,Rwanda,1.0,t +47777,0%,Isle of Man,1.0,t +49352,,,1.0,t +10039,100%,Vanuatu,6.0,t +37873,,Kiribati,2.0,f +8238,91%,Barbados,15.0,t +37998,100%,Monaco,2.0,t +42716,,Turkmenistan,2.0,f +30460,80%,Netherlands,1.0,f +10330,75%,Micronesia,1.0,f +36846,,Maldives,1.0,f +19761,,Reunion,1.0,f +48297,,Uganda,1.0,t +47581,75%,,3.0,f +47581,75%,,3.0,f +24436,,Niger,1.0,t +3399,,Uganda,1.0,f +14229,0%,Switzerland,1.0,f +6845,80%,Croatia,2.0,t +6399,95%,Marshall Islands,5.0,f +37685,100%,Sao Tome and Principe,1.0,t +10376,,Gambia,1.0,f +5856,,Montserrat,1.0,t +31379,100%,France,5.0,t +15756,94%,Afghanistan,2.0,t +17300,,Jersey,2.0,t +19461,100%,Isle of Man,5.0,f +19461,100%,Isle of Man,5.0,f +24738,100%,Somalia,2.0,t +10039,100%,Vanuatu,6.0,t +10039,100%,Vanuatu,6.0,t +45499,,Tanzania,1.0,f +42850,100%,Gambia,1.0,t +47014,100%,Uganda,2.0,f +47014,100%,Uganda,2.0,f +40412,97%,Netherlands,26.0,t +16169,100%,Grenada,3.0,f +24335,100%,,1.0,f +35225,,Guernsey,1.0,f +35704,100%,Papua New Guinea,5.0,t +21098,,,1.0,f +33010,100%,Rwanda,3.0,t +39968,100%,,2.0,f +39968,100%,,2.0,f +24218,,Russian Federation,1.0,f +42730,100%,Greenland,3.0,t +44568,,Holy See (Vatican City State),1.0,f +45941,100%,United Kingdom,1.0,t +34545,,Tonga,1.0,t +2470,80%,Brazil,4.0,t +2470,80%,Brazil,4.0,t +5997,100%,Kenya,3.0,t +26063,,Croatia,2.0,t +3035,100%,Anguilla,1.0,t +49189,100%,Turks and Caicos Islands,3.0,f +42730,100%,Greenland,3.0,t +35267,70%,Canada,1.0,t +31876,,Tonga,1.0,t +33978,100%,Niue,1.0,t +13724,100%,Niue,1.0,t +10350,100%,Lithuania,2.0,t +12980,100%,Uzbekistan,3.0,t +15814,100%,Brazil,4.0,f +15814,100%,Brazil,4.0,f +45621,100%,Cape Verde,4.0,t +38824,,France,1.0,f +24775,97%,Montserrat,44.0,f +44841,100%,Sao Tome and Principe,3.0,t +4265,100%,Palestinian Territory,2.0,t +41213,,Costa Rica,1.0,t +36367,100%,Palestinian Territory,3.0,f +24775,97%,Montserrat,44.0,f +21110,100%,Cape Verde,1.0,f +12920,100%,Tonga,1.0,t +34587,,Isle of Man,22.0,t +43265,100%,Anguilla,3.0,f +20343,,Togo,4.0,f +20343,,Togo,4.0,f +20343,,Togo,4.0,f +19984,100%,Ecuador,14.0,t +22991,100%,Korea,4.0,t +40450,90%,Maldives,1.0,t +24775,97%,Montserrat,44.0,f +37679,,Bosnia and Herzegovina,1.0,t +24775,97%,Montserrat,44.0,f +24775,97%,Montserrat,44.0,f +6888,100%,Sao Tome and Principe,1.0,t +48356,100%,Jersey,3.0,t +20220,100%,Switzerland,1.0,t +46691,90%,Uzbekistan,38.0,f +24775,97%,Montserrat,44.0,f +40958,,Rwanda,1.0,t +3080,100%,Lithuania,2.0,t +22757,90%,France,1.0,t +22097,100%,United Kingdom,1.0,t +39866,,,1.0,t +31244,57%,Niger,4.0,t +12404,0%,Turks and Caicos Islands,1.0,f +31548,90%,Marshall Islands,2.0,t +31548,90%,Marshall Islands,2.0,t +16543,,Philippines,1.0,t +40412,97%,Netherlands,26.0,t +40412,97%,Netherlands,26.0,t +24775,97%,Montserrat,44.0,f +14785,,Russian Federation,1.0,t +24775,97%,Montserrat,44.0,f +9038,100%,Marshall Islands,3.0,t +39509,100%,Somalia,1.0,t +40199,100%,Uzbekistan,6.0,f +22347,100%,Brazil,2.0,t +38374,100%,Philippines,1.0,t +48759,100%,Slovenia,1.0,t +8658,,,1.0,f +29985,,Bouvet Island (Bouvetoya),1.0,f +40199,100%,Uzbekistan,6.0,f +12230,90%,Guinea,3.0,f +26152,100%,Anguilla,6.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +2942,100%,Isle of Man,3.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +43460,100%,Guinea,1.0,t +17870,100%,,1.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +32134,100%,United Kingdom,1.0,t +30836,,Cocos (Keeling) Islands,1.0,t +36942,82%,Uzbekistan,3.0,t +14107,100%,,1.0,f +32039,,Guinea,5.0,f +28780,100%,Russian Federation,1.0,t +34513,93%,Ecuador,2.0,t +41548,,Chile,2.0,t +6793,,Ecuador,1.0,t +24775,97%,Montserrat,44.0,f +24775,97%,Montserrat,44.0,f +4207,,Sao Tome and Principe,1.0,t +10039,100%,Vanuatu,6.0,t +9533,,Senegal,16.0,t +26369,92%,Uganda,2.0,t +39251,100%,Russian Federation,1.0,f +26152,100%,Anguilla,6.0,t +40320,100%,Niue,2.0,f +2735,100%,Netherlands,6.0,f +8706,,Holy See (Vatican City State),1.0,f +42518,100%,Anguilla,2.0,t +9925,100%,,3.0,t +39456,100%,Estonia,1.0,t +9925,100%,,3.0,t +9925,100%,,3.0,t +20962,100%,Russian Federation,2.0,t +19837,100%,Venezuela,1.0,f +10920,100%,Kenya,2.0,t +45427,,Isle of Man,1.0,t +39399,22%,Kenya,2.0,f +32012,100%,,2.0,f +46009,90%,,2.0,f +20473,100%,,1.0,t +1152,,Bosnia and Herzegovina,2.0,t +13693,100%,United Kingdom,5.0,t +45741,100%,Uzbekistan,6.0,t +19461,100%,Isle of Man,5.0,f +38862,100%,Chile,3.0,t +25793,100%,,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +19984,100%,Ecuador,14.0,t +19482,,Cocos (Keeling) Islands,4.0,f +24107,100%,,1.0,t +41601,81%,United Kingdom,5.0,f +17113,100%,,1.0,t +24775,97%,Montserrat,44.0,f +28576,,China,1.0,t +38515,90%,Guernsey,1.0,t +3234,100%,Niue,2.0,f +7251,100%,Turks and Caicos Islands,3.0,t +46529,,Marshall Islands,1.0,t +37160,,Tunisia,1.0,t +2271,100%,Zimbabwe,3.0,t +24524,100%,Vanuatu,2.0,t +7821,,Russian Federation,2.0,t +19247,100%,Cuba,5.0,f +30023,75%,Rwanda,1.0,t +14762,,Nicaragua,1.0,f +27052,,,1.0,f +1846,,Croatia,1.0,t +41459,,Chile,1.0,f +24775,97%,Montserrat,44.0,f +23274,100%,Nauru,1.0,t +25255,,Costa Rica,2.0,t +16276,100%,Jersey,1.0,t +23495,80%,,1.0,f +43250,100%,Bouvet Island (Bouvetoya),2.0,t +3074,90%,Tunisia,1.0,t +15862,100%,Russian Federation,1.0,t +25255,,Costa Rica,2.0,t +43654,100%,,5.0,t +4358,100%,Ecuador,2.0,t +17691,90%,Zimbabwe,4.0,t +40487,,Cuba,1.0,t +36802,,Monaco,1.0,t +3995,,Kiribati,1.0,t +28992,100%,Jersey,1.0,t +23550,0%,Sao Tome and Principe,1.0,f +31056,,Guernsey,1.0,t +11858,17%,Guinea,4.0,f +30930,,,1.0,f +26513,,Zimbabwe,1.0,f +19864,100%,Gibraltar,1.0,t +397,100%,Indonesia,1.0,f +24838,100%,Isle of Man,2.0,t +1769,,Chile,2.0,t +6848,,Slovakia (Slovak Republic),1.0,t +47517,,Nauru,1.0,f +43859,100%,Spain,1.0,f +4468,100%,Zimbabwe,1.0,f +33682,,Kenya,1.0,t +38240,80%,Guinea,2.0,f +34784,60%,Faroe Islands,19.0,t +14555,100%,Chile,1.0,t +40739,100%,Chad,2.0,f +11461,100%,Bosnia and Herzegovina,1.0,t +28451,,Suriname,1.0,t +25602,13%,Kenya,2.0,f +33133,,Turks and Caicos Islands,1.0,f +11496,,Cocos (Keeling) Islands,3.0,t +11496,,Cocos (Keeling) Islands,3.0,t +37444,57%,Isle of Man,1.0,f +8093,,Rwanda,1.0,f +3234,100%,Niue,2.0,f +33511,59%,Tunisia,8.0,t +16111,50%,,2.0,f +33511,59%,Tunisia,8.0,t +8133,100%,Chad,1.0,t +27584,100%,Chile,2.0,t +890,100%,Zimbabwe,3.0,f +32125,,Russian Federation,1.0,t +33322,100%,Philippines,1.0,t +49509,,Isle of Man,1.0,f +17420,,,1.0,f +34588,,Croatia,1.0,f +33327,100%,,3.0,f +33327,100%,,3.0,f +29058,,Uzbekistan,1.0,t +34324,,Chile,1.0,f +25498,,Uganda,1.0,f +19881,100%,Guinea,1.0,t +10485,100%,Togo,2.0,t +24412,,Bosnia and Herzegovina,1.0,t +30090,,Libyan Arab Jamahiriya,1.0,f +10066,100%,,1.0,t +13474,80%,Zimbabwe,7.0,t +48834,100%,Uzbekistan,1.0,f +2369,30%,Isle of Man,2.0,f +18269,86%,Fiji,12.0,f +18269,86%,Fiji,12.0,f +13930,100%,Tanzania,1.0,t +36104,100%,Ukraine,2.0,t +18269,86%,Fiji,12.0,f +19576,100%,Micronesia,2.0,t +18269,86%,Fiji,12.0,f +46421,80%,Croatia,2.0,t +28150,100%,,1.0,f +41163,,Monaco,2.0,t +25960,100%,Jersey,1.0,t +22673,80%,Chile,2.0,t +48986,100%,Andorra,1.0,t +26992,100%,Netherlands,3.0,t +34258,,Vietnam,7.0,t +19595,,Jersey,1.0,f +13758,100%,Rwanda,1.0,t +42439,100%,Cape Verde,3.0,t +34258,,Vietnam,7.0,t +44771,,Palestinian Territory,1.0,f +35703,,Maldives,1.0,f +42049,,Gambia,1.0,f +9012,100%,,2.0,t +42592,,,1.0,f +35439,94%,United Kingdom,23.0,t +35439,94%,United Kingdom,23.0,t +49510,100%,Croatia,1.0,t +17178,25%,Rwanda,1.0,t +39597,100%,El Salvador,1.0,t +46714,100%,Malta,1.0,f +12390,86%,Uzbekistan,3.0,f +48374,83%,Kenya,2.0,t +41593,100%,Marshall Islands,1.0,f +20334,99%,Niger,171.0,t +37862,,Reunion,1.0,f +29995,,Lebanon,1.0,t +45304,,Rwanda,1.0,f +32307,100%,,1.0,f +34784,60%,Faroe Islands,19.0,t +21359,,Mauritania,2.0,t +2778,,Anguilla,2.0,t +35029,100%,Niue,4.0,f +20455,,Nicaragua,2.0,t +29301,,Mexico,1.0,f +24738,100%,Somalia,2.0,t +49495,,Ghana,1.0,t +11802,100%,Lithuania,1.0,f +47040,90%,Lebanon,1.0,f +596,100%,Isle of Man,1.0,t +42310,100%,Ecuador,6.0,t +39859,100%,Netherlands,3.0,t +25003,96%,Latvia,9.0,t +3017,100%,Ukraine,3.0,f +38671,100%,Ecuador,2.0,t +43321,100%,France,40.0,f +24177,,Venezuela,4.0,t +19461,100%,Isle of Man,5.0,f +24177,,Venezuela,4.0,t +47396,100%,Maldives,1.0,t +42133,,Tunisia,1.0,t +42525,,,1.0,t +28928,,,1.0,f +9863,,Niue,1.0,f +29239,,French Polynesia,1.0,f +41490,,Togo,2.0,t +13902,98%,United Kingdom,5.0,f +35439,94%,United Kingdom,23.0,t +33792,100%,Jersey,1.0,t +19424,,Vietnam,1.0,t +44724,100%,Marshall Islands,1.0,t +9089,,,2.0,f +31068,,Zimbabwe,1.0,t +32425,,Barbados,2.0,t +28084,100%,,1.0,f +44306,100%,,1.0,f +39936,100%,Montserrat,1.0,t +31873,99%,Uzbekistan,22.0,f +35128,,Kenya,1.0,t +14378,,Marshall Islands,1.0,t +43321,100%,France,40.0,f +11841,100%,Marshall Islands,3.0,t +12452,0%,Barbados,1.0,t +40232,,Ecuador,1.0,t +18202,,Isle of Man,1.0,f +42229,100%,Fiji,25.0,f +20334,99%,Niger,171.0,t +18495,100%,Russian Federation,2.0,f +19676,60%,Maldives,1.0,t +24775,97%,Montserrat,44.0,f +6399,95%,Marshall Islands,5.0,f +17835,100%,Bouvet Island (Bouvetoya),1.0,t +15598,,,1.0,t +27316,100%,Puerto Rico,5.0,f +27316,100%,Puerto Rico,5.0,f +4884,100%,Marshall Islands,3.0,f +32764,100%,Maldives,1.0,t +26216,,Bosnia and Herzegovina,4.0,t +43745,,Burkina Faso,2.0,t +29461,,Bosnia and Herzegovina,5.0,t +32900,,Niue,2.0,f +34793,100%,,5.0,t +49643,67%,Russian Federation,2.0,f +8238,91%,Barbados,15.0,t +8456,100%,Russian Federation,1.0,t +19585,,Isle of Man,1.0,f +37619,100%,Isle of Man,2.0,t +30701,,,1.0,f +20895,100%,American Samoa,5.0,f +1604,100%,Tunisia,1.0,t +24206,,,2.0,t +30455,100%,,2.0,t +24336,,El Salvador,1.0,f +23803,100%,,1.0,f +35715,,Wallis and Futuna,1.0,t +21630,97%,Reunion,5.0,t +48716,,,3.0,f +48874,100%,Somalia,4.0,t +36988,88%,Svalbard & Jan Mayen Islands,3.0,t +27209,,Chad,2.0,f +18533,90%,Russian Federation,5.0,t +3470,,,1.0,f +37009,80%,Lebanon,3.0,t +30465,100%,Guinea,1.0,f +45545,100%,,1.0,f +5127,,Malta,1.0,f +27348,,Vanuatu,1.0,t +10794,100%,Lebanon,1.0,t +33679,,Slovenia,1.0,t +21841,100%,Puerto Rico,3.0,t +45143,100%,Brazil,2.0,t +12133,100%,Mexico,4.0,f +28781,,Anguilla,2.0,f +42150,,Nicaragua,2.0,t +38109,80%,Chad,7.0,f +38109,80%,Chad,7.0,f +45324,100%,Venezuela,3.0,t +24832,80%,Sao Tome and Principe,1.0,f +38055,,,1.0,t +38862,100%,Chile,3.0,t +26446,,French Polynesia,1.0,t +3350,100%,Zimbabwe,1.0,t +31097,,Niger,2.0,f +20340,,Peru,1.0,f +50096,,Indonesia,1.0,t +21630,97%,Reunion,5.0,t +6672,89%,Chad,1.0,t +25856,,Vanuatu,4.0,t +11073,,,1.0,f +24784,100%,Isle of Man,1.0,t +35593,100%,Marshall Islands,3.0,f +3092,,Uganda,1.0,t +38109,80%,Chad,7.0,f +38109,80%,Chad,7.0,f +38109,80%,Chad,7.0,f +38109,80%,Chad,7.0,f +38109,80%,Chad,7.0,f +18981,,Libyan Arab Jamahiriya,1.0,t +33185,100%,Montserrat,2.0,t +42599,,Mexico,2.0,f +46702,0%,Micronesia,1.0,f +4303,100%,,1.0,f +41390,80%,Isle of Man,1.0,f +24970,100%,Cape Verde,1.0,t +10342,100%,Libyan Arab Jamahiriya,2.0,t +35638,,Anguilla,1.0,t +653,,Vanuatu,3.0,f +39089,,Denmark,2.0,f +21929,100%,,1.0,f +28833,100%,Venezuela,5.0,f +15442,100%,Svalbard & Jan Mayen Islands,1.0,t +43190,100%,Marshall Islands,4.0,t +5645,,,2.0,f +40272,,Lebanon,1.0,f +36265,100%,Guernsey,2.0,t +3646,,Niger,3.0,t +26358,70%,Monaco,3.0,t +6291,,Sao Tome and Principe,2.0,f +2942,100%,Isle of Man,3.0,t +35194,100%,Turkmenistan,1.0,t +32875,0%,Kenya,1.0,t +42458,97%,Indonesia,14.0,t +10462,,Rwanda,3.0,f +4694,100%,Jersey,3.0,t +4667,100%,Marshall Islands,2.0,f +41469,,,2.0,t +4642,,Kenya,1.0,t +2255,100%,Guinea,1.0,t +7262,,Isle of Man,1.0,f +10931,100%,,1.0,t +42958,100%,Maldives,1.0,t +26063,,Croatia,2.0,t +32184,,Christmas Island,1.0,f +46920,100%,Christmas Island,2.0,t +41469,,,2.0,t +11978,90%,Denmark,3.0,f +12399,,Costa Rica,2.0,f +12766,,Chile,1.0,t +1491,90%,,3.0,f +1491,90%,,3.0,f +1491,90%,,3.0,f +7233,,Maldives,1.0,t +47197,33%,Lebanon,2.0,t +43250,100%,Bouvet Island (Bouvetoya),2.0,t +43243,,Puerto Rico,1.0,t +30216,98%,Maldives,34.0,f +30216,98%,Maldives,34.0,f +30216,98%,Maldives,34.0,f +44328,,Kenya,1.0,f +22556,100%,Barbados,1.0,t +22653,,,1.0,f +11885,100%,,1.0,f +40770,100%,Tonga,2.0,f +25105,100%,Uzbekistan,2.0,t +5743,,China,2.0,t +43522,100%,Kenya,1.0,f +43321,100%,France,40.0,f +48928,87%,French Guiana,5.0,f +1360,86%,Guernsey,1.0,f +1548,100%,Jersey,1.0,t +11275,100%,Brazil,3.0,t +42229,100%,Fiji,25.0,f +32785,83%,Micronesia,1.0,t +38940,60%,Mexico,1.0,f +23997,,Marshall Islands,3.0,t +12630,,Rwanda,2.0,f +5436,100%,Kenya,3.0,t +42229,100%,Fiji,25.0,f +47550,100%,Guinea,4.0,t +5388,,Mauritania,1.0,t +47372,,Micronesia,1.0,f +39624,0%,Zimbabwe,1.0,f +35853,100%,Philippines,3.0,t +20711,0%,Papua New Guinea,1.0,t +14029,67%,Mexico,3.0,t +6580,100%,Kiribati,5.0,t +9029,,Andorra,2.0,t +4615,100%,,1.0,t +20824,0%,Isle of Man,1.0,f +11275,100%,Brazil,3.0,t +1534,80%,Uzbekistan,3.0,t +30741,,Chile,1.0,t +37809,100%,Uzbekistan,2.0,f +20895,100%,American Samoa,5.0,f +20895,100%,American Samoa,5.0,f +1563,0%,Micronesia,3.0,f +674,100%,Gibraltar,4.0,f +12831,100%,Niue,1.0,t +25570,,Nauru,6.0,f +33772,100%,French Polynesia,1.0,t +22227,100%,Slovakia (Slovak Republic),2.0,t +35853,100%,Philippines,3.0,t +5711,100%,Senegal,2.0,f +18001,,Chad,1.0,t +22321,100%,United Kingdom,16.0,f +13365,100%,Indonesia,7.0,t +42294,,Anguilla,1.0,t +32665,100%,Niue,1.0,t +9616,100%,Gibraltar,1.0,f +20569,100%,Montserrat,3.0,t +12155,,Russian Federation,1.0,f +22673,80%,Chile,2.0,t +4171,100%,Ghana,1.0,f +13331,100%,Fiji,1.0,f +28402,25%,Russian Federation,1.0,t +31701,60%,Bouvet Island (Bouvetoya),2.0,f +9315,0%,Canada,1.0,f +28594,100%,Mauritania,10.0,t +32563,100%,Pakistan,2.0,t +27209,,Chad,2.0,f +6620,50%,Niue,3.0,t +46378,,Mauritania,3.0,t +2042,90%,Gambia,7.0,f +42974,,Lebanon,3.0,t +42599,,Mexico,2.0,f +38166,100%,Uzbekistan,14.0,f +43190,100%,Marshall Islands,4.0,t +43190,100%,Marshall Islands,4.0,t +24566,75%,Estonia,1.0,t +21653,,Marshall Islands,2.0,f +25525,90%,Faroe Islands,3.0,t +26613,100%,Malawi,1.0,f +40927,100%,Micronesia,3.0,f +35439,94%,United Kingdom,23.0,t +43386,,Wallis and Futuna,1.0,t +40208,100%,Saint Helena,2.0,t +22665,,Rwanda,1.0,f +11334,100%,Sao Tome and Principe,3.0,t +21736,100%,Vanuatu,4.0,f +45751,,Tonga,1.0,t +24176,100%,Kiribati,2.0,f +25001,100%,Saint Helena,1.0,f +45621,100%,Cape Verde,4.0,t +29918,100%,Vietnam,2.0,t +15654,,French Guiana,1.0,t +36544,,Russian Federation,1.0,f +34872,93%,Tonga,3.0,t +15572,,Cape Verde,2.0,t +33823,78%,France,17.0,t +15572,,Cape Verde,2.0,t +43992,100%,Uzbekistan,3.0,t +46847,100%,Niue,1.0,f +24823,100%,Sao Tome and Principe,1.0,t +32575,100%,Kenya,3.0,t +24206,,,2.0,t +47369,100%,Marshall Islands,4.0,t +11172,100%,Guinea,2.0,t +14306,100%,Libyan Arab Jamahiriya,1.0,f +31286,83%,Isle of Man,1.0,f +10433,,Rwanda,1.0,f +7003,0%,United Kingdom,1.0,t +30332,100%,Ecuador,2.0,f +49823,100%,Isle of Man,1.0,t +42414,,Sao Tome and Principe,1.0,f +2042,90%,Gambia,7.0,f +30897,100%,Turkmenistan,4.0,t +22835,,French Guiana,1.0,t +40320,100%,Niue,2.0,f +8930,,Turkmenistan,2.0,t +35550,90%,El Salvador,2.0,f +36894,100%,Niue,1.0,t +34784,60%,Faroe Islands,19.0,t +23679,,Isle of Man,1.0,t +15612,80%,Russian Federation,3.0,t +19742,100%,Isle of Man,1.0,f +16220,100%,,1.0,t +32754,100%,France,1.0,f +37613,,Senegal,1.0,f +30310,100%,,1.0,f +13504,100%,Ukraine,3.0,f +37159,,United Kingdom,1.0,f +19247,100%,Cuba,5.0,f +22321,100%,United Kingdom,16.0,f +22321,100%,United Kingdom,16.0,f +22321,100%,United Kingdom,16.0,f +22321,100%,United Kingdom,16.0,f +15612,80%,Russian Federation,3.0,t +9074,100%,Russian Federation,1.0,t +23509,100%,Jersey,1.0,t +17651,100%,Uzbekistan,1.0,f +19943,63%,Isle of Man,34.0,f +25637,100%,French Guiana,3.0,t +653,,Vanuatu,3.0,f +653,,Vanuatu,3.0,f +35853,100%,Philippines,3.0,t +22006,,Mauritania,1.0,f +20218,100%,Slovakia (Slovak Republic),11.0,t +35439,94%,United Kingdom,23.0,t +13902,98%,United Kingdom,5.0,f +13902,98%,United Kingdom,5.0,f +13902,98%,United Kingdom,5.0,f +39872,,Andorra,2.0,t +39713,100%,Denmark,4.0,f +39713,100%,Denmark,4.0,f +22544,100%,Holy See (Vatican City State),6.0,t +95,100%,Chile,3.0,t +16963,,Vanuatu,3.0,f +49972,100%,Cape Verde,1.0,f +29422,50%,Uzbekistan,1.0,f +40576,100%,France,1.0,t +2814,,French Guiana,1.0,f +39657,100%,,2.0,t +37343,75%,Ecuador,4.0,t +8293,100%,Afghanistan,4.0,t +24584,100%,Spain,4.0,t +10231,100%,Isle of Man,1.0,t +16209,80%,Ecuador,3.0,f +21807,,Maldives,1.0,t +13377,100%,Russian Federation,1.0,t +8293,100%,Afghanistan,4.0,t +15389,100%,Svalbard & Jan Mayen Islands,1.0,t +38709,100%,Senegal,1.0,t +38521,,Cape Verde,1.0,f +17287,100%,Slovakia (Slovak Republic),1.0,f +41165,100%,Lebanon,1.0,f +19247,100%,Cuba,5.0,f +32138,100%,,1.0,f +3293,100%,Somalia,1.0,t +42387,,Gambia,2.0,f +15694,100%,Marshall Islands,2.0,f +27366,100%,Uzbekistan,9.0,t +6358,100%,Croatia,1.0,t +39399,22%,Kenya,2.0,f +15935,100%,Isle of Man,1.0,t +2512,,Cape Verde,6.0,t +6224,100%,Wallis and Futuna,2.0,t +18478,,,1.0,f +31077,,Tonga,1.0,t +19406,100%,Pitcairn Islands,2.0,t +8773,100%,,1.0,t +30304,100%,Somalia,2.0,t +22154,,Lebanon,1.0,f +33511,59%,Tunisia,8.0,t +9414,,Sao Tome and Principe,1.0,f +17771,90%,Russian Federation,1.0,f +28187,100%,Jersey,1.0,f +26330,60%,Costa Rica,3.0,f +4983,,Chad,1.0,t +44324,,Faroe Islands,1.0,t +8293,100%,Afghanistan,4.0,t +5647,,Bosnia and Herzegovina,4.0,t +38355,,Bouvet Island (Bouvetoya),1.0,f +15283,100%,Mauritania,1.0,f +42439,100%,Cape Verde,3.0,t +3396,,Chad,4.0,t +12032,100%,Mauritania,2.0,t +12032,100%,Mauritania,2.0,t +18685,,Chile,1.0,t +22738,40%,Monaco,1.0,t +11538,100%,Papua New Guinea,5.0,t +48157,,,2.0,f +14478,100%,Chad,2.0,t +34534,,Isle of Man,1.0,t +14478,100%,Chad,2.0,t +11012,100%,Puerto Rico,3.0,f +51,,Montserrat,1.0,t +8371,100%,Barbados,1.0,t +16760,,Tonga,1.0,f +12833,100%,Uzbekistan,3.0,t +22412,100%,,1.0,t +6200,100%,,3.0,t +22103,,United Kingdom,1.0,f +33511,59%,Tunisia,8.0,t +17548,60%,,1.0,f +37675,100%,Jersey,1.0,f +5323,,Uganda,1.0,f +24726,100%,,1.0,t +25637,100%,French Guiana,3.0,t +37645,100%,Mauritania,3.0,t +34445,,Rwanda,1.0,t +17694,100%,Isle of Man,4.0,t +30216,98%,Maldives,34.0,f +26330,60%,Costa Rica,3.0,f +5307,100%,Zimbabwe,3.0,t +16539,,United Kingdom,1.0,f +11111,0%,Slovakia (Slovak Republic),1.0,f +24403,,France,2.0,t +31257,,,1.0,f +47463,,Tanzania,2.0,f +13393,,Suriname,1.0,t +28257,0%,Turkmenistan,1.0,f +21630,97%,Reunion,5.0,t +40739,100%,Chad,2.0,f +11686,90%,Kenya,2.0,f +16931,,Chad,2.0,f +15356,80%,Denmark,2.0,f +30216,98%,Maldives,34.0,f +48602,100%,El Salvador,1.0,t +48263,90%,Guernsey,1.0,t +32603,83%,Nicaragua,4.0,t +32603,83%,Nicaragua,4.0,t +13914,100%,Libyan Arab Jamahiriya,2.0,f +22927,90%,,1.0,f +16961,,Micronesia,1.0,f +41601,81%,United Kingdom,5.0,f +37646,100%,Estonia,60.0,f +41503,100%,Kenya,1.0,f +13376,100%,Zimbabwe,3.0,f +15523,100%,,2.0,f +29959,100%,Niger,1.0,f +42585,100%,Micronesia,1.0,t +48019,100%,Netherlands,1.0,t +25167,100%,Indonesia,1.0,t +27118,100%,Sao Tome and Principe,1.0,f +28025,100%,Grenada,1.0,f +42597,,Bouvet Island (Bouvetoya),1.0,t +27992,100%,Denmark,1.0,t +32039,,Guinea,5.0,f +46250,100%,Jersey,1.0,t +8476,,Brazil,1.0,t +48671,100%,Guinea,3.0,t +16847,,Kenya,1.0,f +23565,100%,Slovakia (Slovak Republic),6.0,t +8541,,Uzbekistan,1.0,t +20512,100%,Isle of Man,2.0,t +48349,100%,Isle of Man,2.0,f +32039,,Guinea,5.0,f +25361,100%,Brazil,1.0,f +7051,0%,Malta,1.0,f +34269,78%,Niue,2.0,t +41341,100%,Guinea,3.0,t +4694,100%,Jersey,3.0,t +4694,100%,Jersey,3.0,t +31187,100%,Jersey,1.0,f +31074,100%,Malta,4.0,t +38498,,Turks and Caicos Islands,1.0,f +41668,,Mauritania,1.0,t +36196,90%,Gibraltar,1.0,f +36104,100%,Ukraine,2.0,t +14540,92%,Niue,5.0,f +30352,,Bosnia and Herzegovina,2.0,f +46877,0%,El Salvador,1.0,f +44651,,,1.0,f +39895,100%,,3.0,f +28653,100%,Russian Federation,3.0,t +26330,60%,Costa Rica,3.0,f +27366,100%,Uzbekistan,9.0,t +275,100%,Tunisia,3.0,t +48461,,Canada,1.0,t +26387,100%,Isle of Man,6.0,t +32246,100%,Chad,1.0,f +3018,40%,Holy See (Vatican City State),1.0,t +11092,100%,Monaco,1.0,t +49660,100%,France,3.0,t +16380,100%,Tunisia,1.0,t +7696,97%,Russian Federation,7.0,t +34587,,Isle of Man,22.0,t +42114,100%,Sao Tome and Principe,3.0,t +33195,100%,Isle of Man,1.0,f +30968,,,1.0,f +2069,100%,Gambia,4.0,t +8418,,Denmark,2.0,f +30281,100%,Guinea,1.0,f +46027,100%,Niue,1.0,t +15429,100%,Grenada,3.0,t +18273,100%,Guinea,1.0,t +30736,,Guinea,1.0,f +6037,80%,Guinea,9.0,t +33511,59%,Tunisia,8.0,t +43542,67%,Russian Federation,2.0,f +24563,90%,Pakistan,3.0,f +36686,,Lebanon,1.0,f +25725,,Bosnia and Herzegovina,1.0,t +37645,100%,Mauritania,3.0,t +20681,,Marshall Islands,1.0,t +42860,100%,Guinea,1.0,f +43728,100%,Kenya,1.0,f +13374,67%,,2.0,f +20384,100%,Wallis and Futuna,1.0,t +30788,100%,Niue,1.0,t +47706,100%,Venezuela,1.0,t +31586,,Chile,3.0,f +14340,100%,Isle of Man,5.0,t +39832,100%,Guinea,3.0,f +16957,,Monaco,2.0,f +6704,100%,Gambia,1.0,f +20691,,Niue,1.0,t +23602,,Portugal,1.0,t +5866,100%,Brazil,1.0,t +9012,100%,,2.0,t +32329,,Kenya,1.0,t +20512,100%,Isle of Man,2.0,t +22810,,Niue,1.0,t +43224,,Rwanda,1.0,t +8162,,Tonga,1.0,t +709,,,1.0,f +21363,100%,Guinea,2.0,t +29501,90%,Gibraltar,2.0,t +27471,,Sao Tome and Principe,1.0,f +35317,,Bosnia and Herzegovina,1.0,f +5702,100%,Monaco,2.0,f +16227,,Micronesia,1.0,t +12393,,,1.0,t +20218,100%,Slovakia (Slovak Republic),11.0,t +20745,,Ghana,1.0,t +25973,100%,Gambia,1.0,f +28693,,Lebanon,1.0,t +4657,100%,,1.0,f +47968,100%,Ecuador,1.0,t +39698,60%,Russian Federation,1.0,t +45452,0%,Niue,1.0,t +49294,,,1.0,f +24717,100%,Canada,1.0,t +2069,100%,Gambia,4.0,t +39895,100%,,3.0,f +2042,90%,Gambia,7.0,f +3347,,Kiribati,1.0,t +2603,96%,Uzbekistan,7.0,f +11034,90%,Chile,1.0,f +42183,100%,Puerto Rico,1.0,t +11260,67%,Micronesia,1.0,f +35273,100%,Chad,1.0,t +38826,75%,Senegal,2.0,t +40256,,Uzbekistan,2.0,t +46054,,Sao Tome and Principe,2.0,t +39579,100%,Uzbekistan,2.0,t +7705,0%,Turks and Caicos Islands,1.0,f +1978,100%,Slovenia,1.0,t +36564,100%,Venezuela,5.0,t +46054,,Sao Tome and Principe,2.0,t +17190,100%,Niue,1.0,t +49036,,Kenya,4.0,t +32034,100%,Uzbekistan,1.0,f +15502,100%,Indonesia,1.0,t +14340,100%,Isle of Man,5.0,t +5716,100%,Senegal,2.0,f +20251,100%,Jersey,1.0,t +46082,100%,Isle of Man,1.0,t +2991,,Russian Federation,1.0,t +27476,0%,Guinea,1.0,t +35147,95%,Mauritania,5.0,t +23447,,,1.0,t +10067,,Philippines,1.0,f +4216,,Cuba,9.0,t +41494,,Guinea,1.0,t +45896,100%,,1.0,t +8223,100%,El Salvador,2.0,t +17778,100%,Indonesia,3.0,f +3335,100%,Lebanon,2.0,f +17570,100%,Gambia,1.0,t +45446,,Tonga,1.0,t +17143,,,1.0,f +24515,,Ghana,1.0,t +2766,100%,United Kingdom,4.0,f +2735,100%,Netherlands,6.0,f +28978,,Uzbekistan,2.0,t +43891,,China,2.0,t +16941,100%,Russian Federation,3.0,f +6232,,Guinea,15.0,t +4216,,Cuba,9.0,t +12290,100%,Bouvet Island (Bouvetoya),1.0,f +44557,,,1.0,t +11876,,Malta,1.0,t +2704,,Monaco,1.0,t +22358,,Vanuatu,3.0,f +32082,80%,,1.0,f +24899,100%,Saint Helena,1.0,t +8538,,,2.0,t +11101,100%,Holy See (Vatican City State),1.0,f +42045,10%,Niue,4.0,f +47412,,Tunisia,1.0,t +30404,100%,Niue,3.0,t +33459,,Mauritania,1.0,t +45068,,Guinea,1.0,t +13041,100%,Niue,1.0,f +1003,100%,Tonga,1.0,t +44234,90%,Philippines,1.0,t +15110,100%,Zimbabwe,1.0,t +37957,100%,Chad,2.0,t +41616,100%,Anguilla,3.0,f +16369,,Micronesia,1.0,t +39382,,Nicaragua,1.0,t +30890,90%,Niue,2.0,f +45889,100%,Niue,1.0,t +30388,,Faroe Islands,1.0,f +46091,50%,,2.0,t +12513,,Bosnia and Herzegovina,1.0,t +22868,,Sao Tome and Principe,2.0,t +45963,,Mauritania,3.0,t +11817,,Tonga,3.0,f +35326,,,1.0,f +8171,,Russian Federation,1.0,t +28695,100%,French Guiana,1.0,f +26808,100%,Rwanda,9.0,t +17778,100%,Indonesia,3.0,f +30216,98%,Maldives,34.0,f +48769,100%,Indonesia,4.0,t +37313,90%,Cocos (Keeling) Islands,1.0,t +13444,,,1.0,f +38689,100%,United Kingdom,6.0,t +20881,,Rwanda,1.0,t +22321,100%,United Kingdom,16.0,f +17639,90%,Kenya,3.0,f +4233,,Russian Federation,1.0,t +48790,,,1.0,t +39832,100%,Guinea,3.0,f +13902,98%,United Kingdom,5.0,f +9777,,Isle of Man,1.0,f +27291,,Malawi,2.0,t +27291,,Malawi,2.0,t +42554,100%,Zimbabwe,1.0,t +30096,0%,Kenya,1.0,f +10244,100%,Philippines,10.0,f +6627,100%,Senegal,1.0,f +25811,100%,,1.0,t +15724,,Sao Tome and Principe,1.0,t +9246,70%,,1.0,f +9095,100%,Uganda,2.0,f +21788,100%,Niger,1.0,f +7189,100%,Indonesia,1.0,t +39581,,Marshall Islands,1.0,t +31838,,Lebanon,2.0,t +41880,,China,2.0,f +43321,100%,France,40.0,f +8994,,Zimbabwe,1.0,f +35399,90%,Croatia,1.0,t +38153,,Ecuador,1.0,t +44313,100%,Tunisia,2.0,f +41129,,Bosnia and Herzegovina,1.0,f +22031,0%,Marshall Islands,1.0,f +6968,,Bouvet Island (Bouvetoya),2.0,f +14340,100%,Isle of Man,5.0,t +41226,,Kiribati,1.0,f +49660,100%,France,3.0,t +41528,100%,Indonesia,1.0,t +37399,,Niue,1.0,t +27953,100%,Cocos (Keeling) Islands,3.0,t +49637,,Russian Federation,1.0,t +33048,,Montserrat,3.0,f +36707,,Cocos (Keeling) Islands,1.0,t +46852,100%,,1.0,t +46689,,,1.0,t +21130,,Guinea,2.0,t +27079,,Maldives,14.0,t +15559,100%,Barbados,1.0,t +22323,,,1.0,t +42458,97%,Indonesia,14.0,t +27079,,Maldives,14.0,t +27079,,Maldives,14.0,t +27079,,Maldives,14.0,t +38308,,Marshall Islands,2.0,t +35047,,France,1.0,t +17930,100%,Jersey,2.0,t +22997,,Isle of Man,1.0,t +13686,,France,3.0,f +8238,91%,Barbados,15.0,t +1998,,Nicaragua,1.0,t +14340,100%,Isle of Man,5.0,t +22215,,Nicaragua,2.0,f +30668,,Russian Federation,1.0,f +6836,,Chad,1.0,t +6156,100%,Finland,14.0,t +19688,100%,Malawi,2.0,t +38875,100%,Gambia,3.0,f +40551,,Bouvet Island (Bouvetoya),3.0,t +20068,80%,Uzbekistan,5.0,t +29548,,Mexico,1.0,t +42876,,Uzbekistan,1.0,t +13171,,Chile,1.0,t +46165,,Malta,1.0,t +43411,100%,,1.0,t +45406,100%,Malta,1.0,t +36935,,Niue,1.0,t +29856,64%,Niue,2.0,t +14232,67%,,1.0,f +41031,,Niue,2.0,t +27396,,,1.0,f +5746,100%,Russian Federation,2.0,t +26757,100%,Barbados,4.0,f +15376,,Micronesia,1.0,f +5746,100%,Russian Federation,2.0,t +34159,100%,,2.0,f +8823,,Kenya,1.0,t +6156,100%,Finland,14.0,t +380,100%,Kiribati,1.0,f +47107,,Russian Federation,1.0,f +5176,100%,Malawi,2.0,t +30081,,French Guiana,1.0,f +42006,100%,Bahrain,2.0,t +26757,100%,Barbados,4.0,f +23212,,Faroe Islands,1.0,f +15579,100%,Slovakia (Slovak Republic),2.0,f +9943,100%,Tonga,1.0,t +1510,,Chile,1.0,t +9672,,Bosnia and Herzegovina,3.0,t +29083,0%,Chile,1.0,t +37232,100%,Gambia,2.0,t +24999,100%,France,6.0,f +9722,,Ecuador,1.0,t +31743,100%,Isle of Man,1.0,f +47918,88%,,1.0,t +43321,100%,France,40.0,f +29704,,Faroe Islands,2.0,f +40826,,,1.0,t +31161,100%,Isle of Man,2.0,t +35214,,El Salvador,2.0,t +29704,,Faroe Islands,2.0,f +1052,,Montserrat,5.0,f +17371,,,1.0,f +45981,92%,Maldives,11.0,t +37472,100%,Anguilla,1.0,t +14013,100%,Indonesia,2.0,t +7576,,United Kingdom,1.0,t +11414,100%,Ghana,1.0,t +22059,,Uzbekistan,1.0,t +1052,,Montserrat,5.0,f +10983,100%,French Guiana,2.0,t +13507,100%,Gambia,1.0,t +15306,,Barbados,8.0,t +45981,92%,Maldives,11.0,t +960,100%,Netherlands,2.0,t +13730,0%,Libyan Arab Jamahiriya,1.0,t +26757,100%,Barbados,4.0,f +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +45981,92%,Maldives,11.0,t +42045,10%,Niue,4.0,f +30217,,Niger,1.0,t +15306,,Barbados,8.0,t +4955,100%,Bouvet Island (Bouvetoya),1.0,t +20944,100%,United Kingdom,3.0,f +46337,,Chad,2.0,t +20944,100%,United Kingdom,3.0,f +16963,,Vanuatu,3.0,f +3862,,,2.0,t +39684,,Svalbard & Jan Mayen Islands,2.0,f +31696,,Sao Tome and Principe,2.0,f +44573,,Lebanon,1.0,t +34258,,Vietnam,7.0,t +22321,100%,United Kingdom,16.0,f +8702,,Niue,1.0,f +42457,,Zimbabwe,1.0,f +44313,100%,Tunisia,2.0,f +5138,,Rwanda,1.0,t +7855,,United Kingdom,1.0,t +5910,,Croatia,1.0,f +13522,,Indonesia,1.0,f +27186,100%,Zimbabwe,7.0,t +45363,,United Kingdom,2.0,f +42045,10%,Niue,4.0,f +9000,,Papua New Guinea,1.0,t +45830,60%,Montserrat,1.0,f +16439,100%,Nicaragua,1.0,t +6919,100%,Isle of Man,1.0,t +37655,,Niue,1.0,f +23551,,Slovenia,1.0,f +10230,100%,Niue,2.0,t +30768,80%,Maldives,1.0,t +46957,90%,Micronesia,3.0,t +5238,,Isle of Man,1.0,t +11791,100%,,1.0,f +22868,,Sao Tome and Principe,2.0,t +4108,,Chile,2.0,t +25980,100%,Philippines,2.0,t +30832,100%,Micronesia,2.0,t +30832,100%,Micronesia,2.0,t +47635,,Senegal,4.0,t +14562,,Tonga,1.0,f +16904,,Turks and Caicos Islands,1.0,f +46036,,Australia,1.0,t +14953,100%,Bouvet Island (Bouvetoya),4.0,t +18948,,,1.0,t +20209,100%,Russian Federation,1.0,t +4108,,Chile,2.0,t +30144,100%,Marshall Islands,1.0,t +32578,74%,Zimbabwe,2.0,t +3121,95%,Zimbabwe,9.0,t +14953,100%,Bouvet Island (Bouvetoya),4.0,t +16370,50%,Isle of Man,1.0,t +22185,,Lithuania,1.0,f +10539,,Lebanon,1.0,f +11265,100%,Holy See (Vatican City State),1.0,t +23864,100%,Russian Federation,1.0,t +27010,100%,El Salvador,1.0,f +45647,100%,Niger,1.0,t +20192,,,1.0,t +46217,100%,United Kingdom,4.0,f +15137,100%,Marshall Islands,10.0,t +7735,100%,,2.0,t +41741,100%,Brazil,9.0,t +38689,100%,United Kingdom,6.0,t +38689,100%,United Kingdom,6.0,t +4128,50%,Nicaragua,1.0,f +45517,100%,Monaco,1.0,f +7711,100%,Isle of Man,1.0,f +36380,,Chile,2.0,f +49443,100%,Sao Tome and Principe,2.0,t +17057,100%,Rwanda,2.0,t +23731,100%,Holy See (Vatican City State),2.0,t +31717,,Gibraltar,1.0,f +22081,100%,El Salvador,1.0,t +34411,100%,Anguilla,1.0,t +46957,90%,Micronesia,3.0,t +33048,,Montserrat,3.0,f +40747,100%,Wallis and Futuna,1.0,t +39010,,Russian Federation,1.0,t +20917,,Turkmenistan,2.0,t +29766,100%,Indonesia,1.0,t +30421,,El Salvador,1.0,t +2185,,Russian Federation,1.0,f +27612,,Rwanda,1.0,t +36813,,Brazil,1.0,f +23088,100%,El Salvador,1.0,t +34673,100%,Guinea,1.0,t +3723,,Sao Tome and Principe,1.0,f +46797,100%,Zimbabwe,3.0,t +19987,100%,French Polynesia,4.0,f +41648,,Micronesia,1.0,t +14920,,,1.0,t +34153,100%,Congo,1.0,f +30386,,Zimbabwe,1.0,t +44923,100%,Chad,1.0,t +13103,100%,Costa Rica,1.0,f +47378,,Uzbekistan,1.0,f +4992,,Kiribati,5.0,t +248,91%,French Guiana,2.0,f +1330,100%,United Kingdom,1.0,t +37923,,Andorra,1.0,f +21944,,Guernsey,1.0,t +7360,100%,Malta,1.0,t +39065,100%,,1.0,t +33285,100%,Uzbekistan,2.0,t +37177,100%,Canada,1.0,f +25384,100%,Slovakia (Slovak Republic),1.0,f +9279,,,1.0,t +594,100%,Cuba,2.0,f +3664,,Brazil,2.0,t +24608,,Guinea,1.0,f +7383,100%,Lebanon,1.0,t +26152,100%,Anguilla,6.0,t +29352,80%,El Salvador,2.0,f +28388,0%,Suriname,1.0,t +3273,,Holy See (Vatican City State),2.0,t +28137,100%,Slovakia (Slovak Republic),1.0,t +29670,100%,Isle of Man,1.0,f +36033,100%,Russian Federation,4.0,t +32425,,Barbados,2.0,t +46061,100%,Uganda,2.0,t +49914,100%,Niue,1.0,t +41263,100%,Saint Helena,1.0,f +39790,,,1.0,t +15932,100%,Isle of Man,3.0,t +49053,94%,Indonesia,4.0,t +44147,93%,Uzbekistan,2.0,t +40771,60%,Slovakia (Slovak Republic),2.0,t +1362,,Lebanon,1.0,t +11256,100%,Kenya,1.0,f +30429,,Anguilla,1.0,t +12090,100%,,1.0,f +8811,,Montserrat,3.0,t +36659,100%,Anguilla,2.0,t +295,100%,Micronesia,2.0,t +26426,100%,Saint Helena,1.0,t +43434,0%,Mexico,1.0,f +21720,100%,Russian Federation,1.0,f +38859,100%,France,1.0,f +19693,100%,Nauru,1.0,t +9342,,Nicaragua,1.0,f +45045,,,1.0,t +30371,63%,Guinea,1.0,t +34602,,Russian Federation,1.0,t +5370,60%,Kenya,5.0,f +41421,,Gambia,1.0,t +437,,Guinea,2.0,t +46266,,Chad,1.0,t +47012,,Russian Federation,1.0,f +5148,100%,Jersey,1.0,t +9507,25%,Sierra Leone,5.0,t +19561,100%,Isle of Man,1.0,t +26249,,Cuba,2.0,t +38844,100%,Maldives,1.0,t +20334,99%,Niger,171.0,t +38230,100%,Niue,3.0,t +30893,100%,Micronesia,1.0,f +43463,100%,Monaco,1.0,t +31993,100%,Holy See (Vatican City State),1.0,t +13051,,Chad,1.0,t +49707,,Gibraltar,1.0,t +11462,100%,,5.0,t +6232,,Guinea,15.0,t +9874,100%,Montserrat,4.0,t +49567,100%,Saint Helena,4.0,t +49567,100%,Saint Helena,4.0,t +26339,,,1.0,f +11770,,Lebanon,2.0,t +9042,57%,Russian Federation,2.0,f +24949,100%,Russian Federation,1.0,t +31163,,Fiji,2.0,t +16272,,Wallis and Futuna,1.0,t +41907,,El Salvador,3.0,t +41741,100%,Brazil,9.0,t +11076,100%,Malta,1.0,t +43174,100%,Kiribati,1.0,f +43701,0%,Vanuatu,1.0,f +40665,,Niue,1.0,f +13399,,,1.0,t +27023,,Sao Tome and Principe,1.0,t +26776,,Kenya,1.0,t +26666,100%,Gambia,3.0,t +31333,,Zimbabwe,1.0,t +38381,100%,British Indian Ocean Territory (Chagos Archipelago),2.0,f +29461,,Bosnia and Herzegovina,5.0,t +46957,90%,Micronesia,3.0,t +3024,100%,Isle of Man,1.0,t +45176,,Vanuatu,3.0,f +10606,,Ghana,1.0,f +19210,100%,Reunion,1.0,f +5370,60%,Kenya,5.0,f +22438,90%,Guinea,2.0,t +18425,,,1.0,f +10342,100%,Libyan Arab Jamahiriya,2.0,t +8872,100%,Russian Federation,5.0,t +17057,100%,Rwanda,2.0,t +39869,,,1.0,t +18850,,Ecuador,1.0,f +40670,100%,Palestinian Territory,1.0,t +17182,100%,Niue,2.0,t +11997,100%,Mauritania,2.0,t +12617,,Monaco,1.0,f +27858,100%,Niue,1.0,t +15868,,Zimbabwe,1.0,t +13647,100%,,3.0,f +39107,100%,Canada,2.0,f +46351,100%,Jersey,2.0,t +15438,,Slovakia (Slovak Republic),1.0,t +15315,100%,Guernsey,1.0,t +16185,,China,1.0,t +25320,,El Salvador,1.0,f +28978,,Uzbekistan,2.0,t +35141,100%,,4.0,f +31337,100%,Monaco,1.0,f +6474,,,1.0,t +24931,,Malta,1.0,f +6705,100%,,1.0,f +12311,,United Kingdom,1.0,f +29750,,Guinea,2.0,t +33815,,Isle of Man,1.0,t +45146,,Mauritania,2.0,t +19776,100%,Marshall Islands,2.0,t +38208,,,2.0,t +29482,100%,Ghana,1.0,t +28715,100%,,1.0,t +6115,,Estonia,1.0,f +37164,100%,Indonesia,2.0,t +18268,0%,Sao Tome and Principe,1.0,t +23366,100%,,3.0,t +20440,,Kenya,2.0,t +36042,,Gambia,1.0,t +29263,100%,Sao Tome and Principe,1.0,f +31520,,Sao Tome and Principe,1.0,f +45511,100%,Gambia,3.0,f +8872,100%,Russian Federation,5.0,t +43628,100%,Jersey,1.0,t +41822,60%,,1.0,t +7777,,Pakistan,2.0,f +48200,57%,French Guiana,1.0,t +34077,,,2.0,f +33562,100%,Uzbekistan,1.0,t +42712,,Vanuatu,1.0,f +42680,100%,Isle of Man,1.0,t +16304,100%,Guernsey,1.0,f +28876,100%,Uzbekistan,1.0,t +16798,100%,Saint Helena,2.0,t +13563,67%,Guinea,1.0,t +42629,100%,Malawi,1.0,t +41551,100%,Malta,2.0,f +30928,25%,Bosnia and Herzegovina,1.0,t +7561,100%,Venezuela,6.0,t +14045,100%,Tonga,2.0,t +31420,100%,Maldives,2.0,t +19253,,Sao Tome and Principe,4.0,t +27965,100%,Faroe Islands,3.0,f +2271,100%,Zimbabwe,3.0,t +15579,100%,Slovakia (Slovak Republic),2.0,f +34204,100%,Uzbekistan,1.0,f +8293,100%,Afghanistan,4.0,t +33820,,,1.0,t +27074,,Russian Federation,1.0,t +11262,,Lebanon,1.0,t +29028,100%,Chad,2.0,t +39168,83%,Tonga,6.0,f +18207,100%,,1.0,t +43245,100%,Cocos (Keeling) Islands,1.0,t +18250,,Russian Federation,1.0,t +25433,100%,Micronesia,1.0,t +26387,100%,Isle of Man,6.0,t +27740,100%,United Kingdom,6.0,t +13692,100%,Uganda,1.0,f +10640,,Chad,1.0,t +5968,100%,Uganda,1.0,t +26656,,Zimbabwe,1.0,t +25385,,Korea,1.0,t +6151,0%,Gambia,1.0,t +46515,100%,,1.0,f +7165,100%,Brazil,5.0,t +15489,100%,Nicaragua,2.0,t +2590,100%,,1.0,t +3866,100%,Indonesia,8.0,t +19451,80%,Montserrat,2.0,t +25434,100%,,2.0,t +40997,,Maldives,1.0,t +42953,100%,Korea,2.0,t +34649,100%,Marshall Islands,1.0,t +26757,100%,Barbados,4.0,f +16475,,,2.0,t +26493,,Guinea,1.0,f +33146,,Denmark,1.0,f +28868,100%,Monaco,2.0,f +18408,100%,Montserrat,1.0,t +29556,100%,Malta,1.0,t +1181,50%,,1.0,t +8217,,,1.0,t +12342,,Tanzania,1.0,t +11833,90%,Afghanistan,2.0,f +4731,75%,Kenya,2.0,t +15513,,Turkmenistan,1.0,t +49349,100%,,1.0,f +2603,96%,Uzbekistan,7.0,f +44732,,San Marino,1.0,f +22786,,Kenya,2.0,f +40683,100%,United Kingdom,2.0,t +38925,,Jersey,1.0,f +48487,100%,Tunisia,2.0,t +40378,100%,Chad,3.0,f +6060,100%,Christmas Island,1.0,f +5094,50%,Uzbekistan,2.0,t +8638,,Maldives,2.0,f +23105,,Rwanda,1.0,f +31163,,Fiji,2.0,t +23512,,,1.0,f +30468,,Wallis and Futuna,1.0,t +32882,,Turks and Caicos Islands,2.0,f +39610,,Andorra,2.0,t +44942,,Cape Verde,1.0,t +1070,100%,Jersey,1.0,t +49684,,Indonesia,1.0,t +24700,33%,Denmark,1.0,t +2046,100%,Niue,1.0,f +24747,100%,Nicaragua,6.0,f +19247,100%,Cuba,5.0,f +6531,100%,Mexico,2.0,f +6531,100%,Mexico,2.0,f +6966,100%,Afghanistan,1.0,t +15195,100%,Svalbard & Jan Mayen Islands,3.0,t +38286,100%,Kenya,3.0,f +17531,100%,,1.0,t +42229,100%,Fiji,25.0,f +33966,100%,,1.0,t +12560,100%,Monaco,2.0,t +38274,,,2.0,f +3934,100%,Rwanda,4.0,f +6069,100%,,1.0,t +40161,100%,,1.0,f +10102,,Afghanistan,1.0,f +39555,100%,Marshall Islands,13.0,t +22243,100%,Malta,2.0,f +37548,100%,Russian Federation,2.0,f +3885,100%,Venezuela,1.0,f +7824,100%,Monaco,2.0,t +47551,,Chile,1.0,f +23866,,,1.0,f +12447,,Isle of Man,1.0,f +23249,,Grenada,2.0,f +8768,100%,Kiribati,1.0,f +28394,,Senegal,2.0,f +5251,100%,Brazil,2.0,f +45850,100%,Isle of Man,2.0,f +13578,78%,Monaco,1.0,t +48157,,,2.0,f +5094,50%,Uzbekistan,2.0,t +5855,100%,Marshall Islands,1.0,t +24747,100%,Nicaragua,6.0,f +48630,100%,Tonga,1.0,t +49797,100%,,1.0,f +43708,,Indonesia,3.0,t +46522,100%,Russian Federation,1.0,t +38570,100%,Lithuania,2.0,f +47007,100%,Guinea,2.0,t +11151,100%,Malta,1.0,t +41339,100%,Vanuatu,1.0,f +35332,,French Polynesia,1.0,t +21836,100%,Mauritania,3.0,f +22695,97%,Pakistan,6.0,t +49322,,,1.0,f +46691,90%,Uzbekistan,38.0,f +11326,,Guinea,1.0,t +19267,90%,,2.0,t +3382,100%,,2.0,f +3382,100%,,2.0,f +28792,100%,Senegal,2.0,t +35838,100%,Guernsey,2.0,f +24210,100%,El Salvador,1.0,t +17341,70%,Malawi,2.0,f +37392,100%,Micronesia,7.0,t +41168,100%,Malawi,4.0,t +7821,,Russian Federation,2.0,t +48466,100%,Marshall Islands,1.0,t +45791,,Russian Federation,2.0,t +45973,,Guernsey,1.0,f +13693,100%,United Kingdom,5.0,t +44850,100%,Switzerland,2.0,t +42301,100%,Turkmenistan,1.0,t +30005,,Papua New Guinea,1.0,t +34210,,Niue,1.0,t +22198,,Niger,2.0,f +625,,Isle of Man,1.0,t +22198,,Niger,2.0,f +18869,,Malta,2.0,f +24986,,,1.0,t +3897,90%,Indonesia,1.0,f +31464,100%,Isle of Man,2.0,t +29253,100%,Maldives,2.0,t +9450,,Reunion,2.0,f +38075,100%,Malawi,2.0,f +19776,100%,Marshall Islands,2.0,t +47386,,Sao Tome and Principe,1.0,f +19437,,French Guiana,2.0,t +49093,100%,Kiribati,1.0,t +40042,,Nicaragua,1.0,t +34432,,France,2.0,f +5647,,Bosnia and Herzegovina,4.0,t +37863,,Zimbabwe,4.0,t +35249,100%,Uzbekistan,4.0,t +11035,,Uzbekistan,1.0,t +6541,100%,,1.0,f +23108,100%,Micronesia,2.0,t +10623,,,1.0,f +11517,100%,French Guiana,1.0,t +41239,100%,Micronesia,1.0,f +842,80%,,1.0,t +19494,,Sao Tome and Principe,3.0,t +49984,,Libyan Arab Jamahiriya,1.0,f +37646,100%,Estonia,60.0,f +37646,100%,Estonia,60.0,f +9494,100%,Kenya,1.0,t +44775,100%,,1.0,f +36909,100%,Brazil,4.0,t +28108,100%,Niue,4.0,t +49318,,Russian Federation,1.0,t +22178,65%,Lebanon,1.0,t +36909,100%,Brazil,4.0,t +1264,90%,Denmark,1.0,f +24747,100%,Nicaragua,6.0,f +11858,17%,Guinea,4.0,f +47801,,Guinea,1.0,f +20825,,Kenya,1.0,f +28532,,Uganda,1.0,t +4702,100%,El Salvador,2.0,f +8902,100%,,1.0,f +20440,,Kenya,2.0,t +46415,100%,French Guiana,2.0,t +33240,,,1.0,f +30435,99%,Cape Verde,41.0,f +45291,100%,Holy See (Vatican City State),1.0,t +24403,,France,2.0,t +28203,100%,,2.0,t +46742,100%,,2.0,t +44135,60%,Tonga,1.0,t +3148,90%,Rwanda,1.0,t +36567,100%,Lebanon,1.0,f +41867,100%,Monaco,1.0,t +36909,100%,Brazil,4.0,t +38739,,Svalbard & Jan Mayen Islands,1.0,f +1052,,Montserrat,5.0,f +48773,,Lebanon,1.0,f +15649,,Kenya,1.0,f +16927,100%,Vanuatu,2.0,f +44850,100%,Switzerland,2.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +15486,100%,Vietnam,1.0,f +49869,100%,Niger,1.0,t +16417,100%,Niger,2.0,t +39815,,Chad,1.0,f +41501,100%,Montserrat,2.0,t +13573,100%,Gibraltar,4.0,t +34218,,Niue,1.0,t +40551,,Bouvet Island (Bouvetoya),3.0,t +32344,,Niue,1.0,f +25556,100%,Faroe Islands,1.0,t +31998,,Malawi,1.0,t +36702,100%,Mauritania,1.0,t +13720,,Bouvet Island (Bouvetoya),3.0,t +18255,100%,Marshall Islands,3.0,f +27829,100%,,2.0,t +9429,100%,,4.0,f +28597,100%,Maldives,1.0,t +27890,80%,Kenya,1.0,t +28483,,Lebanon,1.0,f +24519,,Saint Martin,2.0,f +6707,,,1.0,t +30657,100%,Guinea,2.0,f +29886,0%,Zimbabwe,2.0,t +4731,75%,Kenya,2.0,t +33143,,Malta,1.0,f +15506,100%,Niue,1.0,f +14053,,Anguilla,1.0,f +45907,,,1.0,t +49523,100%,Croatia,1.0,f +19808,89%,Denmark,2.0,f +36814,,Peru,2.0,f +16178,100%,French Guiana,17.0,t +24102,100%,Guinea,2.0,t +18327,100%,Palestinian Territory,2.0,t +11172,100%,Guinea,2.0,t +43906,80%,Slovenia,2.0,t +31509,100%,Jersey,2.0,t +28846,100%,Brazil,1.0,t +48515,100%,Croatia,2.0,t +48618,100%,Niue,2.0,t +4669,,,1.0,f +48618,100%,Niue,2.0,t +10984,,Russian Federation,1.0,t +31833,80%,Isle of Man,1.0,t +36814,,Peru,2.0,f +29932,100%,France,2.0,t +15706,,Kenya,7.0,t +28108,100%,Niue,4.0,t +19721,100%,Tonga,3.0,t +3566,90%,Turkmenistan,1.0,t +33163,100%,Marshall Islands,1.0,f +46919,,Gambia,1.0,t +22788,100%,Gibraltar,1.0,f +31627,,Mauritania,1.0,t +26874,,Nauru,1.0,t +46427,81%,Sao Tome and Principe,4.0,t +29261,100%,Uruguay,1.0,t +34935,100%,Uzbekistan,1.0,t +32164,,Niue,1.0,f +30064,100%,Malawi,1.0,t +38268,,Guinea,1.0,t +45327,,Mexico,1.0,t +40869,100%,Jersey,1.0,t +30497,100%,Slovakia (Slovak Republic),9.0,t +11255,93%,Suriname,41.0,f +45265,67%,Brazil,1.0,t +15016,,Malta,1.0,t +22638,93%,Maldives,2.0,t +5716,100%,Senegal,2.0,f +30921,,United Kingdom,2.0,t +1607,100%,Russian Federation,1.0,f +42229,100%,Fiji,25.0,f +13947,100%,France,3.0,t +48149,80%,Lebanon,2.0,t +41759,,Isle of Man,1.0,t +48149,80%,Lebanon,2.0,t +27280,86%,Denmark,1.0,f +22347,100%,Brazil,2.0,t +36506,70%,Marshall Islands,2.0,f +36654,100%,Sao Tome and Principe,2.0,f +19825,100%,Russian Federation,1.0,f +12179,,Niger,2.0,t +14085,100%,Malawi,1.0,f +24198,25%,French Guiana,4.0,f +5070,100%,Nicaragua,1.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +2603,96%,Uzbekistan,7.0,f +15491,80%,El Salvador,1.0,t +16889,,,1.0,t +37439,,Pakistan,1.0,t +8032,70%,United Kingdom,1.0,t +48527,,French Guiana,1.0,t +282,100%,Sao Tome and Principe,2.0,t +5514,100%,Ecuador,3.0,f +7635,100%,Kenya,1.0,t +49585,,,1.0,t +5023,,Pakistan,1.0,f +49158,90%,Mauritania,1.0,t +22091,100%,Faroe Islands,9.0,f +40737,89%,Russian Federation,1.0,t +5130,,Russian Federation,1.0,t +2293,100%,Zimbabwe,3.0,t +7106,,Micronesia,1.0,f +22663,,,1.0,t +21391,,Barbados,1.0,t +34112,,Russian Federation,1.0,f +9814,100%,Lebanon,2.0,t +28253,100%,Marshall Islands,3.0,t +48301,,,1.0,t +6534,,Niue,1.0,f +15210,,Faroe Islands,1.0,t +43668,100%,Marshall Islands,6.0,t +24236,60%,,1.0,t +37520,,,1.0,f +44446,100%,Costa Rica,3.0,t +31586,,Chile,3.0,f +5370,60%,Kenya,5.0,f +31806,100%,Micronesia,1.0,t +35897,,Lebanon,1.0,t +4009,,Brunei Darussalam,1.0,t +9948,,Ukraine,2.0,t +43839,100%,,1.0,f +20857,,Netherlands,1.0,t +39542,100%,,2.0,t +46315,,Uzbekistan,1.0,t +29421,,Isle of Man,1.0,t +38324,100%,Isle of Man,1.0,t +38572,0%,France,1.0,f +22038,,Nicaragua,2.0,f +5048,100%,Niue,2.0,t +22291,,Bosnia and Herzegovina,1.0,t +16748,,Kenya,1.0,t +26152,100%,Anguilla,6.0,t +7841,,Niue,1.0,t +26387,100%,Isle of Man,6.0,t +18819,,Sao Tome and Principe,1.0,t +5798,100%,,1.0,f +41695,,Isle of Man,1.0,t +39573,100%,Bouvet Island (Bouvetoya),1.0,t +13365,100%,Indonesia,7.0,t +28351,100%,,1.0,f +35593,100%,Marshall Islands,3.0,f +14175,100%,,1.0,t +16417,100%,Niger,2.0,t +5629,50%,Sao Tome and Principe,1.0,f +27231,100%,Isle of Man,1.0,t +24526,44%,Guinea,2.0,f +43692,100%,Isle of Man,1.0,t +38326,,Congo,1.0,f +35819,,,2.0,t +4107,,Niger,1.0,f +27797,,Switzerland,2.0,t +30947,,Turkmenistan,1.0,t +28224,100%,Rwanda,1.0,f +8545,100%,,1.0,f +11976,,Gambia,2.0,t +12942,,Guinea,3.0,t +24945,100%,Lebanon,1.0,t +795,100%,,1.0,t +49189,100%,Turks and Caicos Islands,3.0,f +36474,,,1.0,t +16058,,Jersey,1.0,t +28448,,Brazil,1.0,t +6438,,Vanuatu,2.0,f +9707,,Finland,1.0,f +43484,100%,Costa Rica,1.0,f +38425,100%,,2.0,t +491,,Nauru,1.0,t +31663,100%,Micronesia,2.0,f +39413,100%,Monaco,1.0,f +21399,100%,Lebanon,1.0,t +15908,100%,Guinea,2.0,t +9866,100%,Jersey,1.0,t +34483,100%,Denmark,1.0,f +49499,,Niue,1.0,f +29036,100%,Russian Federation,1.0,f +33763,,United Kingdom,1.0,t +19482,,Cocos (Keeling) Islands,4.0,f +33823,78%,France,17.0,t +16697,,Sao Tome and Principe,1.0,f +39952,100%,Tonga,21.0,f +693,,Micronesia,1.0,f +38757,90%,Gambia,2.0,t +42104,50%,Djibouti,2.0,f +13552,,France,1.0,t +32381,0%,Switzerland,1.0,t +4753,,,1.0,f +5400,,Chile,1.0,t +38425,100%,,2.0,t +18962,,Sao Tome and Principe,1.0,f +10634,100%,Lithuania,3.0,t +5502,100%,Uzbekistan,1.0,f +6230,0%,Marshall Islands,1.0,f +9907,100%,Russian Federation,1.0,t +48030,100%,,1.0,f +27989,,Nauru,1.0,t +15280,60%,Kenya,2.0,t +16958,,Afghanistan,1.0,t +29278,100%,Malawi,1.0,f +23863,,Jersey,1.0,f +531,,Marshall Islands,1.0,t +27057,,Andorra,1.0,t +15280,60%,Kenya,2.0,t +33823,78%,France,17.0,t +8639,,Lebanon,1.0,t +22038,,Nicaragua,2.0,f +35819,,,2.0,t +17041,100%,Estonia,1.0,t +37308,100%,Russian Federation,1.0,f +2717,,Uzbekistan,3.0,f +19984,100%,Ecuador,14.0,t +34103,,Chile,1.0,t +8895,,Palestinian Territory,1.0,f +19984,100%,Ecuador,14.0,t +33285,100%,Uzbekistan,2.0,t +35725,100%,Senegal,1.0,t +11205,100%,Chad,1.0,t +42229,100%,Fiji,25.0,f +42229,100%,Fiji,25.0,f +17724,,Turks and Caicos Islands,6.0,t +17715,100%,,1.0,t +42229,100%,Fiji,25.0,f +48262,,Guinea,1.0,t +32370,100%,Costa Rica,3.0,t +2778,,Anguilla,2.0,t +5777,100%,Puerto Rico,3.0,t +25329,,Kiribati,2.0,t +2942,100%,Isle of Man,3.0,t +4821,100%,Niger,2.0,t +10952,,Faroe Islands,1.0,t +9013,100%,,2.0,f +8558,100%,Andorra,1.0,t +14220,,Holy See (Vatican City State),1.0,t +37919,,Niue,1.0,t +14883,90%,Uganda,1.0,f +8757,,Senegal,1.0,t +28384,,,1.0,t +49247,,Isle of Man,1.0,t +48400,100%,Peru,1.0,t +26099,99%,Reunion,15.0,f +39029,100%,Mexico,3.0,f +11987,100%,Uganda,1.0,t +42040,,Andorra,1.0,f +8638,,Maldives,2.0,f +48209,83%,Uganda,4.0,t +31310,100%,Kiribati,1.0,t +47756,100%,Uzbekistan,1.0,t +20802,,Croatia,1.0,t +44890,95%,Wallis and Futuna,9.0,t +25180,100%,,1.0,t +18762,,Guinea,1.0,f +44890,95%,Wallis and Futuna,9.0,t +44890,95%,Wallis and Futuna,9.0,t +15963,100%,Svalbard & Jan Mayen Islands,1.0,f +35494,,Monaco,1.0,t +19821,,Slovakia (Slovak Republic),1.0,t +1849,100%,Marshall Islands,1.0,t +32092,86%,,1.0,f +45014,100%,Indonesia,2.0,t +6845,80%,Croatia,2.0,t +11422,50%,,1.0,f +37909,100%,Russian Federation,2.0,t +39287,100%,,1.0,t +40499,100%,Barbados,1.0,t +8760,100%,Finland,6.0,t +43524,,Isle of Man,1.0,f +30060,100%,,1.0,f +4533,,,1.0,t +39240,100%,Guinea,1.0,t +10701,0%,Indonesia,1.0,f +29980,80%,Russian Federation,1.0,t +43854,100%,Ecuador,3.0,f +43854,100%,Ecuador,3.0,f +23819,,Guinea,1.0,f +26095,100%,Gambia,2.0,f +11355,,Monaco,1.0,t +26052,90%,Gambia,3.0,t +12612,,Holy See (Vatican City State),1.0,f +34865,,Uganda,2.0,t +36430,100%,Niue,1.0,t +40666,100%,Jersey,1.0,t +32238,86%,Turks and Caicos Islands,1.0,t +30184,100%,Zimbabwe,2.0,f +35841,100%,Saint Helena,4.0,f +9797,100%,Uzbekistan,1.0,f +30878,,Sao Tome and Principe,1.0,f +40757,100%,United Kingdom,1.0,t +16356,,,1.0,t +41420,,Palestinian Territory,1.0,f +8960,,,2.0,t +9659,,El Salvador,1.0,f +25188,,Marshall Islands,1.0,f +40657,,Marshall Islands,1.0,f +21145,100%,Kenya,1.0,t +35593,100%,Marshall Islands,3.0,f +1078,100%,Kenya,2.0,t +1078,100%,Kenya,2.0,t +33706,,Lebanon,1.0,t +40692,,Zimbabwe,1.0,t +43717,,Bosnia and Herzegovina,5.0,t +15538,,Madagascar,2.0,f +20588,,Malta,1.0,t +25618,,Indonesia,1.0,t +15630,,Rwanda,1.0,t +29533,,Micronesia,1.0,t +20804,,,1.0,t +33414,0%,Russian Federation,1.0,t +24144,,,2.0,t +32480,,Croatia,2.0,t +43717,,Bosnia and Herzegovina,5.0,t +21227,100%,Uzbekistan,2.0,f +4668,100%,Reunion,1.0,t +24666,,Estonia,1.0,f +29302,,,1.0,f +11273,,Cape Verde,1.0,t +36943,,Zimbabwe,2.0,t +19948,100%,Jersey,2.0,f +44167,,Russian Federation,1.0,f +587,100%,,1.0,t +9437,,,1.0,f +3773,,,1.0,t +41755,100%,Isle of Man,2.0,f +14911,,Chile,1.0,t +38218,100%,Malawi,1.0,t +40083,,Monaco,1.0,f +33266,,Bouvet Island (Bouvetoya),1.0,f +43552,100%,Malta,1.0,t +1020,100%,United Kingdom,7.0,t +30283,100%,Brazil,15.0,f +30283,100%,Brazil,15.0,f +30283,100%,Brazil,15.0,f +27892,,Guinea,1.0,t +37215,100%,Indonesia,4.0,t +38060,,Chad,1.0,t +47916,,Russian Federation,1.0,t +27952,20%,,1.0,t +16902,100%,Uzbekistan,3.0,f +32371,,Isle of Man,2.0,t +38358,,Peru,1.0,f +33009,0%,,1.0,t +18159,,,1.0,t +41552,,Kenya,1.0,t +11255,93%,Suriname,41.0,f +37957,100%,Chad,2.0,t +11796,,Rwanda,1.0,t +46276,100%,Kiribati,1.0,t +11616,100%,Uzbekistan,12.0,t +37059,100%,,1.0,t +10620,67%,Marshall Islands,1.0,f +36423,100%,,1.0,f +40171,,,1.0,f +45179,,,2.0,t +24558,,,1.0,f +43152,100%,Nicaragua,82.0,t +26387,100%,Isle of Man,6.0,t +28942,,French Guiana,1.0,f +43459,,United Kingdom,1.0,f +9114,94%,Sao Tome and Principe,4.0,t +43152,100%,Nicaragua,82.0,t +21456,,Jersey,1.0,t +522,,,1.0,t +19984,100%,Ecuador,14.0,t +14018,,Svalbard & Jan Mayen Islands,3.0,t +3894,,,1.0,t +14018,,Svalbard & Jan Mayen Islands,3.0,t +38131,100%,Antarctica (the territory South of 60 deg S),3.0,t +42849,100%,Gambia,1.0,f +45905,100%,Sao Tome and Principe,3.0,t +8254,80%,Gibraltar,1.0,t +21674,67%,Jersey,1.0,f +10680,,Anguilla,2.0,f +31523,,,1.0,f +49030,100%,Kenya,2.0,f +30226,100%,Russian Federation,1.0,t +36779,,,1.0,t +31693,,Lebanon,1.0,t +45297,,Niue,1.0,t +14922,100%,Samoa,3.0,t +45591,,,1.0,t +4906,100%,Senegal,2.0,t +11255,93%,Suriname,41.0,f +23499,,Lithuania,1.0,f +39430,100%,,1.0,f +6283,100%,Switzerland,3.0,f +21267,100%,Rwanda,3.0,f +8345,100%,Andorra,1.0,f +10209,100%,Gambia,1.0,f +29352,80%,El Salvador,2.0,f +31200,100%,Lebanon,1.0,f +1877,100%,Guinea,1.0,f +43152,100%,Nicaragua,82.0,t +47076,,Zimbabwe,1.0,t +40965,,,1.0,t +41200,,Saint Helena,1.0,t +43193,100%,Estonia,3.0,f +15545,,Monaco,1.0,t +16692,,,1.0,t +7508,,Afghanistan,1.0,f +48937,88%,Estonia,3.0,t +41301,100%,Costa Rica,9.0,t +3492,100%,Finland,3.0,f +13261,100%,Bosnia and Herzegovina,2.0,t +26345,,Croatia,1.0,t +46709,80%,Niue,4.0,t +34018,100%,French Guiana,1.0,f +26052,90%,Gambia,3.0,t +26052,90%,Gambia,3.0,t +40281,100%,,3.0,f +22276,,Guernsey,1.0,t +14018,,Svalbard & Jan Mayen Islands,3.0,t +35147,95%,Mauritania,5.0,t +35198,,Venezuela,1.0,f +31,,Togo,1.0,t +45908,,Guinea,1.0,t +10145,100%,,1.0,f +39159,,Slovakia (Slovak Republic),1.0,t +38565,90%,Greenland,1.0,f +39023,100%,Niue,1.0,t +6407,0%,Niue,3.0,f +31658,100%,Maldives,1.0,f +20218,100%,Slovakia (Slovak Republic),11.0,t +9602,,,1.0,f +138,,Netherlands,3.0,t +138,,Netherlands,3.0,t +2273,,,1.0,t +18633,100%,Lithuania,1.0,t +944,,Vietnam,7.0,t +47285,,Uzbekistan,2.0,t +13108,,Bosnia and Herzegovina,1.0,t +3339,100%,France,1.0,t +8321,,,1.0,f +31615,0%,Monaco,1.0,t +26108,,Lebanon,1.0,t +4713,,,1.0,f +27436,,Croatia,2.0,f +46691,90%,Uzbekistan,38.0,f +13559,100%,Mexico,1.0,t +47943,100%,,2.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +8325,60%,,1.0,f +44841,100%,Sao Tome and Principe,3.0,t +8738,,,2.0,t +7835,100%,Kenya,1.0,t +6746,,Palestinian Territory,1.0,t +39952,100%,Tonga,21.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +24849,,,1.0,f +22372,97%,Cuba,1.0,t +1743,0%,,1.0,f +3844,,Cocos (Keeling) Islands,1.0,t +9339,,Denmark,1.0,f +26540,,Lebanon,1.0,f +7611,,Croatia,1.0,f +6280,,Montserrat,1.0,f +49126,100%,Guinea,3.0,t +33347,,Bosnia and Herzegovina,1.0,f +43152,100%,Nicaragua,82.0,t +49126,100%,Guinea,3.0,t +11193,,French Guiana,1.0,f +22561,,Uzbekistan,1.0,f +2781,,,1.0,f +1803,,Chad,1.0,f +34653,100%,Turkmenistan,1.0,t +25508,67%,Guinea,1.0,f +903,0%,Anguilla,1.0,f +10232,,French Polynesia,1.0,t +20287,100%,Tonga,1.0,t +34296,,Kenya,3.0,f +14658,,Niger,1.0,f +24775,97%,Montserrat,44.0,f +18848,,,3.0,t +18848,,,3.0,t +20063,,Gibraltar,1.0,f +33212,,Jersey,1.0,t +2675,100%,Cuba,1.0,f +28121,,Ghana,1.0,t +29891,,Indonesia,1.0,t +17985,,Croatia,1.0,t +16602,,Gambia,2.0,t +39270,,Russian Federation,1.0,t +9222,100%,Brazil,18.0,t +40678,100%,Ecuador,3.0,t +6007,100%,Russian Federation,1.0,f +4094,,Russian Federation,4.0,t +49596,,,1.0,t +6586,,Turkmenistan,1.0,t +23301,,Vietnam,1.0,t +21286,100%,Tonga,6.0,t +37057,100%,Lebanon,2.0,f +47780,,Rwanda,1.0,f +43152,100%,Nicaragua,82.0,t +24775,97%,Montserrat,44.0,f +27357,,Russian Federation,1.0,t +5858,,Cape Verde,2.0,t +28562,80%,Niger,1.0,t +21301,70%,,1.0,t +21462,100%,Guinea,4.0,t +30435,99%,Cape Verde,41.0,f +14240,100%,Chile,3.0,t +43152,100%,Nicaragua,82.0,t +30435,99%,Cape Verde,41.0,f +36438,,Mauritania,2.0,t +3362,40%,Rwanda,1.0,t +43152,100%,Nicaragua,82.0,t +42229,100%,Fiji,25.0,f +22316,100%,Zimbabwe,1.0,t +49253,,Philippines,1.0,f +32108,100%,,1.0,t +44459,89%,Kenya,1.0,t +9701,,Kenya,1.0,f +22550,,Zimbabwe,1.0,t +12942,,Guinea,3.0,t +14700,100%,Montserrat,3.0,f +15449,,Guinea,1.0,t +27631,,Indonesia,1.0,t +42259,,Russian Federation,1.0,t +2080,0%,Malta,1.0,t +20467,,Niue,1.0,t +22483,,Guinea,1.0,t +238,67%,Netherlands Antilles,1.0,t +20291,,Gibraltar,2.0,t +5858,,Cape Verde,2.0,t +3021,,,1.0,f +18473,,,1.0,f +7179,,Maldives,3.0,f +45228,100%,,2.0,t +38198,,Bouvet Island (Bouvetoya),2.0,f +23009,100%,Gambia,1.0,t +8484,100%,Monaco,17.0,t +1302,,Brazil,2.0,t +21097,,,1.0,t +4323,,,1.0,t +9335,100%,Russian Federation,1.0,f +4832,,Jersey,6.0,t +15880,100%,,1.0,f +6407,0%,Niue,3.0,f +22420,,Tonga,1.0,t +25095,100%,Senegal,4.0,f +39752,100%,Ecuador,1.0,f +23479,,Gambia,1.0,t +3316,,,2.0,f +12727,100%,Marshall Islands,1.0,t +24577,,Malawi,2.0,t +4094,,Russian Federation,4.0,t +47691,100%,Gibraltar,1.0,f +6037,80%,Guinea,9.0,t +46568,,Maldives,2.0,t +8588,,,2.0,f +18352,,Tokelau,4.0,t +26938,,Nicaragua,1.0,f +46361,,Chad,1.0,t +36985,100%,Kiribati,7.0,t +11893,100%,Isle of Man,1.0,t +458,,,1.0,t +16864,100%,Reunion,1.0,t +35235,100%,Isle of Man,1.0,f +24068,,,1.0,f +5605,,,1.0,t +4382,100%,Saint Helena,1.0,t +32570,,Guinea,4.0,t +25925,100%,Guinea,1.0,t +41003,,Zimbabwe,1.0,t +17252,100%,Cuba,2.0,f +19489,,Jersey,1.0,f +5267,100%,Tunisia,1.0,f +25728,100%,Bouvet Island (Bouvetoya),3.0,f +17772,,Jersey,1.0,f +5077,100%,,2.0,t +1615,,Malta,1.0,f +5182,,Gibraltar,1.0,f +28387,,Afghanistan,1.0,t +24311,100%,Uzbekistan,2.0,t +10594,88%,,2.0,t +11127,,Cook Islands,1.0,t +46733,100%,Korea,1.0,t +24533,,,1.0,t +31580,100%,Niue,2.0,t +21757,,Kenya,2.0,t +43152,100%,Nicaragua,82.0,t +28429,100%,Gambia,1.0,t +40619,100%,Mexico,1.0,f +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +19953,,United Kingdom,3.0,t +24577,,Malawi,2.0,t +37383,100%,,1.0,t +18399,100%,Kiribati,8.0,t +5777,100%,Puerto Rico,3.0,t +23865,90%,,2.0,t +14209,100%,Malawi,3.0,f +18399,100%,Kiribati,8.0,t +18399,100%,Kiribati,8.0,t +18399,100%,Kiribati,8.0,t +13254,,,1.0,t +42564,,Zimbabwe,1.0,t +1720,,Marshall Islands,1.0,t +49757,100%,Isle of Man,1.0,t +172,,Niue,4.0,f +32263,100%,,1.0,t +17144,100%,Barbados,1.0,t +154,100%,,1.0,t +40871,,,1.0,f +13569,90%,Sao Tome and Principe,1.0,t +32940,,Peru,1.0,f +20990,,Croatia,2.0,f +252,,Lebanon,1.0,t +11332,100%,Croatia,2.0,t +6233,80%,Pakistan,3.0,f +32801,63%,Somalia,1.0,f +20322,100%,,1.0,t +42684,,Svalbard & Jan Mayen Islands,1.0,t +19315,100%,Malawi,1.0,t +4094,,Russian Federation,4.0,t +42376,33%,,1.0,t +43231,,Lebanon,1.0,t +25165,93%,Uzbekistan,7.0,f +37809,100%,Uzbekistan,2.0,f +25589,70%,Russian Federation,1.0,t +9307,100%,Puerto Rico,1.0,f +17014,,,1.0,t +47848,30%,Uzbekistan,1.0,t +40128,100%,Russian Federation,3.0,t +25740,,,1.0,f +11255,93%,Suriname,41.0,f +15984,,Micronesia,1.0,f +10489,,,1.0,t +43872,100%,Guinea,1.0,t +48391,,Ecuador,1.0,t +44165,100%,,1.0,t +35983,91%,Brazil,4.0,t +34865,,Uganda,2.0,t +41555,,,1.0,t +29564,100%,Turkmenistan,1.0,t +17962,,Isle of Man,1.0,f +3273,,Holy See (Vatican City State),2.0,t +9305,100%,Sao Tome and Principe,2.0,t +37900,,Guernsey,2.0,t +37533,100%,,1.0,f +37573,,,1.0,f +30822,,,1.0,t +5740,,Brazil,1.0,f +24003,,Isle of Man,1.0,t +15712,,Chile,1.0,t +17125,,Nicaragua,1.0,t +25164,,Kenya,4.0,f +27361,,,3.0,t +11532,,Russian Federation,1.0,f +6902,88%,Russian Federation,1.0,t +41176,,Lebanon,1.0,t +23757,100%,Tonga,1.0,t +8648,100%,,1.0,f +4702,100%,El Salvador,2.0,f +10070,,Turkmenistan,1.0,f +11426,100%,,3.0,t +47063,100%,Uruguay,1.0,t +6536,100%,Malta,3.0,t +49053,94%,Indonesia,4.0,t +5859,40%,Papua New Guinea,1.0,t +15014,100%,Rwanda,3.0,f +33728,100%,Monaco,2.0,f +41504,100%,Monaco,2.0,t +45010,,Russian Federation,1.0,t +22476,,Barbados,1.0,t +37662,100%,Kenya,2.0,t +20617,,Chad,1.0,t +8505,70%,Niue,1.0,f +44145,100%,Rwanda,4.0,t +30481,100%,Slovakia (Slovak Republic),2.0,t +38540,100%,Kenya,1.0,f +28652,,,1.0,t +11762,100%,French Guiana,1.0,t +12714,100%,Gibraltar,1.0,t +45337,90%,Tonga,3.0,f +40719,,Gambia,2.0,t +13980,,Isle of Man,1.0,f +24747,100%,Nicaragua,6.0,f +43802,,Sao Tome and Principe,1.0,t +266,100%,Tunisia,1.0,t +29461,,Bosnia and Herzegovina,5.0,t +32561,100%,Lebanon,3.0,f +9264,88%,Kenya,2.0,t +4517,100%,El Salvador,3.0,t +2955,,Tonga,1.0,t +22848,,Russian Federation,1.0,f +32749,,Isle of Man,1.0,t +43405,,Jersey,1.0,t +1118,,,1.0,t +16971,,,1.0,t +16263,,Isle of Man,2.0,f +28560,100%,Estonia,3.0,t +2623,,Pakistan,1.0,t +10634,100%,Lithuania,3.0,t +33219,100%,Uzbekistan,7.0,f +4267,100%,Senegal,22.0,t +12695,80%,El Salvador,1.0,f +5258,,Turkmenistan,3.0,t +46392,,Nicaragua,1.0,f +27549,,Monaco,1.0,t +4821,100%,Niger,2.0,t +43944,100%,,2.0,f +39555,100%,Marshall Islands,13.0,t +20482,100%,Malta,1.0,t +29287,100%,Indonesia,2.0,t +24212,90%,Chile,2.0,t +48831,100%,Cape Verde,5.0,t +39555,100%,Marshall Islands,13.0,t +47888,,Marshall Islands,1.0,f +37509,,Turks and Caicos Islands,1.0,f +40259,,,2.0,t +41755,100%,Isle of Man,2.0,f +14838,83%,Lebanon,1.0,t +3973,,Monaco,1.0,f +30885,100%,Uzbekistan,1.0,f +36985,100%,Kiribati,7.0,t +18566,90%,Nicaragua,2.0,t +20884,100%,Switzerland,1.0,t +34277,100%,Niue,2.0,t +36985,100%,Kiribati,7.0,t +4946,,Chad,1.0,t +15023,100%,Tanzania,1.0,t +11388,75%,Marshall Islands,1.0,t +6687,100%,El Salvador,1.0,f +27494,100%,El Salvador,1.0,t +46691,90%,Uzbekistan,38.0,f +14011,100%,United Kingdom,1.0,t +11380,100%,United Kingdom,1.0,t +44489,,Sao Tome and Principe,1.0,f +38780,,Chad,1.0,t +10479,100%,Palestinian Territory,3.0,t +24728,100%,Turkmenistan,3.0,t +17563,,Gambia,1.0,f +48220,80%,Nauru,1.0,t +40128,100%,Russian Federation,3.0,t +20966,,Lebanon,1.0,t +33577,,Tanzania,1.0,t +28342,100%,Tonga,1.0,f +34406,,,1.0,t +12006,100%,Uruguay,5.0,f +18556,100%,Russian Federation,2.0,t +45483,,Christmas Island,1.0,f +36303,,,1.0,f +21733,0%,Guinea,1.0,f +26570,100%,,1.0,f +8512,100%,Afghanistan,1.0,t +6973,100%,Zimbabwe,2.0,t +4361,100%,,1.0,t +45105,100%,Niue,1.0,f +9819,,United Kingdom,1.0,t +4670,100%,Jersey,1.0,f +43456,100%,Niue,1.0,t +19479,80%,Niue,4.0,f +2603,96%,Uzbekistan,7.0,f +27022,,,1.0,t +16524,,,1.0,f +9083,,Venezuela,1.0,t +10170,,Micronesia,1.0,t +32468,100%,Kiribati,1.0,t +2567,,Lebanon,1.0,t +43901,,Isle of Man,1.0,t +42743,,Chile,1.0,f +47942,,Netherlands,1.0,t +29461,,Bosnia and Herzegovina,5.0,t +15021,,Malta,1.0,f +30056,,Kenya,1.0,t +25218,100%,Croatia,3.0,t +46402,,Zimbabwe,1.0,t +14479,100%,United Kingdom,1.0,t +41939,,Gambia,1.0,f +36985,100%,Kiribati,7.0,t +24366,,Togo,1.0,f +40052,0%,Guinea,1.0,f +30398,,Gambia,1.0,t +32065,100%,Niue,1.0,f +44477,90%,Maldives,3.0,t +25235,,,1.0,t +42211,,Lebanon,1.0,f +37460,,,1.0,f +5961,,,1.0,t +32003,100%,Brazil,5.0,f +5434,,French Guiana,2.0,t +39155,100%,Russian Federation,2.0,t +21280,,,1.0,t +18172,,,2.0,t +25218,100%,Croatia,3.0,t +25218,100%,Croatia,3.0,t +40365,,Sao Tome and Principe,1.0,f +16353,100%,Micronesia,2.0,f +26584,100%,Brazil,1.0,f +44194,100%,Indonesia,5.0,t +23766,100%,Guinea,2.0,f +20807,100%,Mauritania,2.0,t +12210,100%,United Kingdom,2.0,f +16006,100%,Tanzania,3.0,t +34239,,Rwanda,1.0,t +40907,56%,Kenya,2.0,t +8058,90%,Niger,2.0,t +34628,,Micronesia,1.0,t +10789,0%,Uzbekistan,1.0,t +43566,100%,Costa Rica,1.0,f +4381,0%,Faroe Islands,1.0,t +4995,,Sao Tome and Principe,1.0,f +5744,90%,Costa Rica,2.0,t +42912,100%,Turks and Caicos Islands,2.0,t +632,80%,Uzbekistan,1.0,t +44310,80%,France,1.0,f +18399,100%,Kiribati,8.0,t +2532,90%,Russian Federation,1.0,f +15633,,Marshall Islands,1.0,t +6973,100%,Zimbabwe,2.0,t +10178,100%,Guernsey,1.0,t +25592,0%,,1.0,f +1033,,,2.0,t +9742,,Chad,1.0,t +36762,,Kenya,1.0,t +13977,90%,Isle of Man,1.0,f +26682,100%,France,2.0,f +11011,,Marshall Islands,1.0,f +6296,100%,,1.0,f +10578,100%,,1.0,f +26369,92%,Uganda,2.0,t +1963,100%,,1.0,t +2838,100%,,1.0,t +771,33%,Uganda,4.0,t +41063,,Monaco,2.0,t +22324,100%,Venezuela,6.0,t +6562,100%,Slovakia (Slovak Republic),5.0,f +16151,100%,Malta,1.0,t +21543,,Nicaragua,1.0,f +38078,100%,Uzbekistan,2.0,t +35925,100%,Croatia,2.0,f +37082,,Lebanon,1.0,t +5682,100%,Guinea,2.0,t +25562,100%,Zimbabwe,1.0,f +34541,70%,Kenya,1.0,f +42169,50%,,1.0,t +44332,100%,Jersey,2.0,t +20437,100%,Micronesia,2.0,t +20437,100%,Micronesia,2.0,t +28185,100%,Brazil,1.0,t +40719,,Gambia,2.0,t +312,,French Guiana,1.0,t +29212,100%,,1.0,t +15160,100%,Peru,5.0,t +30608,,Maldives,1.0,t +36734,,Philippines,1.0,t +26571,,,3.0,f +48651,100%,Nicaragua,1.0,t +49569,,,1.0,f +6172,,Russian Federation,1.0,t +27273,92%,,1.0,t +22251,100%,Gambia,11.0,f +9376,,,1.0,t +47548,100%,Malta,1.0,t +14291,100%,Niue,1.0,t +10944,40%,Tonga,2.0,t +7671,,Uzbekistan,1.0,f +4241,100%,Fiji,2.0,t +21942,0%,Russian Federation,1.0,t +23072,100%,Isle of Man,1.0,t +30084,,Uzbekistan,1.0,t +39952,100%,Tonga,21.0,f +25165,93%,Uzbekistan,7.0,f +17244,,Lebanon,2.0,t +22853,,Uzbekistan,2.0,t +31472,,,2.0,t +289,100%,Cape Verde,1.0,t +7914,,Chile,1.0,f +39695,100%,Guinea,2.0,f +26624,,Fiji,1.0,t +24728,100%,Turkmenistan,3.0,t +23271,,Turkmenistan,2.0,f +41077,71%,Nauru,2.0,f +3630,0%,Russian Federation,1.0,t +43772,50%,Mexico,12.0,t +43665,,Niue,1.0,t +44609,,,1.0,f +2164,82%,Rwanda,5.0,t +32212,,Puerto Rico,1.0,f +39523,100%,Philippines,1.0,f +21193,,Suriname,1.0,t +14625,,Chile,1.0,f +15193,100%,Tanzania,2.0,t +9517,100%,,2.0,f +40662,75%,Malawi,3.0,t +40734,,Bosnia and Herzegovina,1.0,f +19728,100%,Russian Federation,1.0,t +2302,,,1.0,t +48571,100%,Uzbekistan,2.0,f +10989,,Netherlands,1.0,f +43936,,Rwanda,2.0,t +14908,,Denmark,2.0,t +14908,,Denmark,2.0,t +38401,100%,Guinea,1.0,f +39749,,Brazil,1.0,f +39259,,,1.0,t +49010,,,2.0,t +36613,,Jersey,1.0,f +37208,,France,1.0,t +34515,,China,2.0,t +46691,90%,Uzbekistan,38.0,f +28565,100%,Marshall Islands,2.0,t +43936,,Rwanda,2.0,t +21263,100%,Isle of Man,1.0,t +12006,100%,Uruguay,5.0,f +44194,100%,Indonesia,5.0,t +18013,,Vanuatu,1.0,t +3017,100%,Ukraine,3.0,f +46267,100%,Ecuador,1.0,t +16937,70%,Cocos (Keeling) Islands,3.0,f +3017,100%,Ukraine,3.0,f +21113,,Faroe Islands,1.0,t +7457,100%,,3.0,t +49258,,,1.0,f +41080,89%,Tonga,10.0,t +35873,,,2.0,f +28436,100%,Anguilla,1.0,t +4141,100%,Guinea,1.0,t +34437,,,1.0,f +22299,,Uganda,1.0,t +18176,,Ghana,1.0,t +12006,100%,Uruguay,5.0,f +42974,,Lebanon,3.0,t +14432,100%,Guinea,2.0,t +17083,,Estonia,1.0,t +28565,100%,Marshall Islands,2.0,t +11255,93%,Suriname,41.0,f +34106,100%,Cuba,1.0,t +28188,100%,Nicaragua,4.0,t +49673,92%,Malawi,3.0,f +2164,82%,Rwanda,5.0,t +43762,88%,Cocos (Keeling) Islands,1.0,f +10707,100%,Somalia,3.0,t +45741,100%,Uzbekistan,6.0,t +27285,83%,Russian Federation,1.0,f +2010,89%,,1.0,t +16941,100%,Russian Federation,3.0,f +46311,,Maldives,1.0,t +49601,,Russian Federation,1.0,t +14243,100%,Maldives,1.0,f +25851,,,1.0,t +19092,100%,,2.0,t +26531,100%,Nicaragua,2.0,t +49207,,Pakistan,2.0,t +23715,,Brazil,1.0,t +9038,100%,Marshall Islands,3.0,t +49207,,Pakistan,2.0,t +45320,,Estonia,2.0,f +33984,100%,Togo,1.0,f +15706,,Kenya,7.0,t +39887,,Micronesia,1.0,f +37310,90%,Turks and Caicos Islands,3.0,t +37310,90%,Turks and Caicos Islands,3.0,t +40987,100%,Maldives,2.0,t +11347,100%,Gibraltar,3.0,f +7402,100%,,1.0,f +12407,88%,Sao Tome and Principe,1.0,f +36468,100%,Russian Federation,2.0,t +15730,,Jersey,1.0,f +29856,64%,Niue,2.0,t +27079,,Maldives,14.0,t +935,,Guernsey,1.0,t +24106,90%,,1.0,f +16936,100%,Sao Tome and Principe,1.0,f +36630,100%,Niue,1.0,t +40905,100%,Uzbekistan,1.0,t +15507,100%,Micronesia,2.0,f +33219,100%,Uzbekistan,7.0,f +4861,,,1.0,t +19373,,Tonga,1.0,t +44194,100%,Indonesia,5.0,t +28233,,Fiji,2.0,t +47191,,Monaco,1.0,t +37985,,Russian Federation,1.0,t +25718,100%,Niue,1.0,t +14701,,Montserrat,1.0,f +33219,100%,Uzbekistan,7.0,f +20875,,,1.0,t +44820,,,1.0,f +30783,,Guinea,1.0,f +29070,100%,Micronesia,1.0,f +13082,100%,Kiribati,3.0,t +7477,,Niue,2.0,t +36468,100%,Russian Federation,2.0,t +16900,,,7.0,f +38547,0%,Angola,3.0,t +16900,,,7.0,f +16900,,,7.0,f +16900,,,7.0,f +36147,100%,,1.0,t +39962,,Russian Federation,1.0,f +7638,100%,,1.0,f +9108,40%,Guinea,1.0,t +45783,100%,Nauru,1.0,t +47600,,Bosnia and Herzegovina,1.0,f +43152,100%,Nicaragua,82.0,t +49898,,Lebanon,3.0,t +12043,0%,,1.0,t +37232,100%,Gambia,2.0,t +38474,,,3.0,t +24748,,Korea,1.0,t +15143,,United Kingdom,2.0,t +22805,,,2.0,t +29246,50%,Malawi,1.0,t +15160,100%,Peru,5.0,t +49898,,Lebanon,3.0,t +15160,100%,Peru,5.0,t +15160,100%,Peru,5.0,t +2583,100%,Micronesia,2.0,t +39695,100%,Guinea,2.0,f +26966,67%,Svalbard & Jan Mayen Islands,1.0,f +49826,100%,Finland,1.0,t +13278,95%,Isle of Man,7.0,f +11255,93%,Suriname,41.0,f +41280,100%,French Guiana,2.0,t +40358,,French Guiana,2.0,t +3549,,,1.0,f +37776,,,1.0,t +3285,,Nicaragua,1.0,t +31975,100%,Venezuela,1.0,f +40876,,Bosnia and Herzegovina,1.0,t +10779,60%,Kenya,1.0,t +2667,100%,Niue,3.0,f +1106,50%,Nicaragua,1.0,t +10328,,Tonga,1.0,t +5374,,Montserrat,2.0,t +1569,100%,Maldives,1.0,t +3610,,,1.0,t +28685,100%,Guinea,1.0,t +6481,,Guinea,2.0,f +33996,,,1.0,t +3535,,Peru,1.0,f +43996,100%,,1.0,t +42912,100%,Turks and Caicos Islands,2.0,t +36717,100%,Guinea,3.0,t +40198,,Russian Federation,1.0,t +36190,100%,,3.0,t +10317,,Venezuela,1.0,f +33453,100%,Russian Federation,1.0,t +31747,50%,Bosnia and Herzegovina,1.0,t +28731,100%,Faroe Islands,1.0,t +41168,100%,Malawi,4.0,t +43671,100%,Isle of Man,1.0,f +45388,100%,Bouvet Island (Bouvetoya),1.0,t +4517,100%,El Salvador,3.0,t +34734,,Netherlands,1.0,t +21457,100%,Russian Federation,4.0,t +15341,100%,Reunion,4.0,t +9916,100%,Niger,4.0,f +17647,100%,Papua New Guinea,1.0,t +45919,100%,Montserrat,9.0,t +20126,,Vanuatu,1.0,t +21044,,Reunion,1.0,t +37737,100%,,1.0,t +28012,100%,Vietnam,4.0,f +14074,,Niue,1.0,f +42082,100%,Mauritania,1.0,t +19526,100%,Malta,2.0,f +20365,,Mauritania,1.0,t +34033,100%,Afghanistan,2.0,t +46085,,Turkmenistan,1.0,t +27588,,,1.0,t +45013,,Guernsey,1.0,f +30219,,Svalbard & Jan Mayen Islands,1.0,f +36285,100%,Isle of Man,2.0,t +5168,100%,,1.0,f +35421,100%,Russian Federation,1.0,t +10705,100%,Russian Federation,2.0,f +1725,90%,France,3.0,f +44181,80%,Russian Federation,2.0,f +3866,100%,Indonesia,8.0,t +42064,,Tonga,1.0,f +27390,25%,Niue,2.0,f +40662,75%,Malawi,3.0,t +38831,65%,Tanzania,8.0,t +29461,,Bosnia and Herzegovina,5.0,t +39084,100%,Isle of Man,1.0,t +19578,100%,Mauritania,2.0,t +1192,,Nicaragua,2.0,t +43955,,Tonga,1.0,t +6851,100%,Isle of Man,1.0,f +22321,100%,United Kingdom,16.0,f +2288,100%,Guinea,1.0,f +47678,,Indonesia,1.0,t +21789,100%,,1.0,t +23059,100%,French Guiana,1.0,t +39952,100%,Tonga,21.0,f +13737,100%,Gibraltar,1.0,t +22947,100%,,1.0,f +32963,,,1.0,t +4583,33%,,1.0,t +17254,70%,,3.0,t +30547,100%,Puerto Rico,1.0,f +22321,100%,United Kingdom,16.0,f +22321,100%,United Kingdom,16.0,f +48997,100%,Jersey,2.0,t +22321,100%,United Kingdom,16.0,f +6088,100%,,14.0,t +8857,100%,Svalbard & Jan Mayen Islands,1.0,t +12741,83%,,1.0,t +43152,100%,Nicaragua,82.0,t +36318,96%,United Kingdom,3.0,t +44562,100%,Togo,1.0,t +19526,100%,Malta,2.0,f +22557,,Kiribati,1.0,t +38474,,,3.0,t +40367,100%,Marshall Islands,1.0,f +24641,,Zimbabwe,1.0,t +49949,,Guinea,1.0,f +21247,100%,Guernsey,1.0,f +21259,,Isle of Man,2.0,t +37554,100%,Nauru,1.0,t +23731,100%,Holy See (Vatican City State),2.0,t +24677,100%,Nauru,1.0,t +1246,100%,Malta,1.0,f +7229,,,1.0,f +4658,,Mauritania,1.0,t +14120,100%,Jersey,1.0,f +25637,100%,French Guiana,3.0,t +31036,,Faroe Islands,1.0,f +2820,,,2.0,t +30327,90%,Isle of Man,1.0,f +39963,,,1.0,t +14824,,Niger,1.0,f +41522,,Faroe Islands,1.0,f +38333,,Zimbabwe,1.0,t +4371,100%,Marshall Islands,4.0,t +4371,100%,Marshall Islands,4.0,t +22625,100%,Nicaragua,3.0,t +20758,100%,Uzbekistan,2.0,t +6166,100%,El Salvador,1.0,t +4371,100%,Marshall Islands,4.0,t +3189,100%,Marshall Islands,2.0,t +18106,,,1.0,f +37598,,Vanuatu,1.0,t +41682,0%,Isle of Man,1.0,f +27696,100%,Ecuador,2.0,f +21001,100%,Ecuador,2.0,t +47835,,,1.0,t +13454,100%,Malta,1.0,f +38447,,,1.0,t +21029,,Canada,1.0,t +31088,100%,Isle of Man,2.0,f +39055,,Micronesia,1.0,t +2683,,Guinea,1.0,t +45006,,Zimbabwe,1.0,t +28547,100%,,1.0,t +31873,99%,Uzbekistan,22.0,f +6908,100%,Rwanda,1.0,f +25459,100%,Niger,1.0,f +49371,100%,Sao Tome and Principe,6.0,t +7420,100%,Russian Federation,1.0,f +113,,Kenya,1.0,t +25693,67%,Micronesia,3.0,f +12434,,,1.0,t +30164,,Barbados,1.0,t +22513,90%,Jersey,4.0,t +38308,,Marshall Islands,2.0,t +45163,100%,Chile,2.0,t +32784,,Cocos (Keeling) Islands,1.0,t +31745,100%,Monaco,5.0,t +1411,70%,Brazil,1.0,f +20636,,Venezuela,2.0,t +2535,100%,France,2.0,t +22908,100%,Micronesia,6.0,t +4626,,United Kingdom,1.0,t +27084,100%,French Guiana,1.0,t +36318,96%,United Kingdom,3.0,t +14683,100%,Antarctica (the territory South of 60 deg S),4.0,t +14683,100%,Antarctica (the territory South of 60 deg S),4.0,t +15216,,Chile,1.0,f +6315,,Kenya,1.0,f +6987,,,1.0,t +29942,100%,Finland,1.0,f +37404,100%,,1.0,f +22175,50%,Lebanon,1.0,t +49605,,Chile,1.0,t +19203,,French Guiana,1.0,f +10024,,Venezuela,3.0,t +20480,,Kiribati,1.0,t +44662,100%,Turks and Caicos Islands,1.0,f +8,,Denmark,2.0,t +37438,100%,Andorra,4.0,t +26243,,,1.0,t +15694,100%,Marshall Islands,2.0,f +40358,,French Guiana,2.0,t +48801,,,1.0,t +31663,100%,Micronesia,2.0,f +1131,,,1.0,f +13212,100%,Zimbabwe,12.0,t +43368,100%,,1.0,t +45773,,,1.0,t +46578,100%,Lebanon,6.0,t +40588,,Ecuador,1.0,t +45479,0%,Zimbabwe,1.0,f +45138,79%,Barbados,14.0,f +43436,,,1.0,f +34487,100%,Malta,2.0,f +20628,100%,Jersey,1.0,t +2076,100%,New Zealand,2.0,f +10665,100%,France,1.0,f +44867,,Guinea,2.0,f +16696,100%,Gambia,1.0,t +37068,100%,,1.0,t +43291,100%,Niue,1.0,f +31088,100%,Isle of Man,2.0,f +11498,90%,Niue,1.0,f +16125,,,2.0,t +24169,,,1.0,t +17831,100%,,1.0,f +10705,100%,Russian Federation,2.0,f +6713,100%,Mauritania,10.0,f +22037,70%,,1.0,t +43653,,,1.0,t +163,,,1.0,t +23735,,Isle of Man,2.0,t +29759,100%,,2.0,t +20529,,Anguilla,1.0,f +20282,,Isle of Man,1.0,t +15511,100%,Sao Tome and Principe,4.0,t +11649,,,1.0,t +21105,100%,Indonesia,2.0,t +16175,,Nauru,1.0,f +48365,,Niue,2.0,t +44817,100%,Chile,1.0,t +33873,100%,Turks and Caicos Islands,8.0,t +33249,100%,,1.0,f +2368,78%,France,1.0,t +27127,100%,Marshall Islands,9.0,t +33029,100%,Isle of Man,3.0,f +24940,90%,Malta,1.0,t +27254,,,1.0,t +15448,,Nauru,2.0,t +44220,100%,Holy See (Vatican City State),1.0,t +41309,,,2.0,f +11790,0%,Libyan Arab Jamahiriya,1.0,t +28701,100%,,1.0,t +26152,100%,Anguilla,6.0,t +42137,,Kenya,1.0,f +44950,100%,Russian Federation,1.0,f +34242,100%,Slovakia (Slovak Republic),2.0,t +12808,,Somalia,1.0,t +4090,,,1.0,f +8226,80%,Puerto Rico,5.0,f +35107,100%,,1.0,f +44354,100%,Russian Federation,1.0,t +15384,,Denmark,1.0,t +43481,100%,Russian Federation,4.0,t +43481,100%,Russian Federation,4.0,t +43481,100%,Russian Federation,4.0,t +1524,100%,Russian Federation,1.0,t +8866,90%,Tonga,2.0,t +49230,100%,Brazil,1.0,t +16924,,,1.0,f +35752,100%,Tonga,2.0,t +16127,,Lebanon,1.0,t +25683,100%,Puerto Rico,2.0,f +14773,100%,Cape Verde,1.0,f +13034,100%,,1.0,t +29317,,,1.0,f +36393,100%,Anguilla,1.0,t +36419,,Russian Federation,2.0,f +41769,100%,Brazil,4.0,t +12062,,Brazil,1.0,t +38629,100%,Tonga,4.0,f +28705,,Isle of Man,1.0,t +8519,,Croatia,1.0,t +10363,,Rwanda,1.0,t +8568,,,1.0,f +26878,80%,Monaco,2.0,t +762,100%,Russian Federation,1.0,t +44318,100%,France,1.0,t +30921,,United Kingdom,2.0,t +39643,100%,Zimbabwe,3.0,t +46200,100%,,2.0,f +38288,100%,France,8.0,t +17138,100%,Isle of Man,1.0,t +29055,,Uganda,1.0,t +9517,100%,,2.0,f +3294,100%,Uganda,3.0,f +40894,50%,Bosnia and Herzegovina,1.0,f +11110,88%,Kiribati,3.0,t +11110,88%,Kiribati,3.0,t +36709,,Chile,1.0,t +42280,100%,Micronesia,1.0,t +5224,67%,Niue,1.0,t +15008,100%,Croatia,2.0,f +14607,100%,,1.0,t +15909,,Isle of Man,1.0,t +11776,,Holy See (Vatican City State),1.0,t +25948,100%,Slovakia (Slovak Republic),1.0,t +12106,50%,Mauritania,1.0,t +26099,99%,Reunion,15.0,f +37280,100%,Indonesia,4.0,t +33423,100%,Isle of Man,1.0,t +36763,50%,,1.0,t +13741,,Montserrat,1.0,t +16694,,Russian Federation,3.0,f +37780,100%,,1.0,t +31903,100%,Sao Tome and Principe,2.0,t +34872,93%,Tonga,3.0,t +46048,100%,Indonesia,1.0,t +34683,,,1.0,f +39952,100%,Tonga,21.0,f +11450,100%,Reunion,1.0,f +8226,80%,Puerto Rico,5.0,f +34548,,,1.0,t +11347,100%,Gibraltar,3.0,f +18848,,,3.0,t +47503,,,1.0,t +23148,90%,,1.0,f +1343,,Isle of Man,2.0,f +28583,,Marshall Islands,1.0,t +40888,100%,Marshall Islands,2.0,f +49559,,,1.0,t +35933,75%,Isle of Man,1.0,t +26099,99%,Reunion,15.0,f +48781,100%,Mauritania,1.0,f +6232,,Guinea,15.0,t +33857,,,1.0,t +38221,100%,,3.0,t +38997,100%,Zimbabwe,2.0,t +16405,,France,1.0,f +1653,100%,Peru,1.0,t +25005,100%,Papua New Guinea,1.0,t +27847,100%,Russian Federation,2.0,t +40888,100%,Marshall Islands,2.0,f +3507,,Brazil,1.0,f +43177,,Nauru,1.0,f +42269,94%,Russian Federation,3.0,t +23314,,Mauritania,2.0,t +20898,100%,Marshall Islands,1.0,f +22321,100%,United Kingdom,16.0,f +17104,,Bosnia and Herzegovina,2.0,t +46047,100%,Marshall Islands,1.0,t +39210,100%,,1.0,f +19118,100%,,2.0,t +34686,,Slovakia (Slovak Republic),1.0,t +21704,,,1.0,t +31486,,,1.0,f +15841,100%,Faroe Islands,2.0,t +22358,,Vanuatu,3.0,f +7191,100%,Uzbekistan,2.0,f +38831,65%,Tanzania,8.0,t +32602,100%,France,1.0,t +1623,100%,Kenya,1.0,t +5012,,Malta,1.0,f +45764,100%,Guernsey,1.0,t +44963,0%,Togo,1.0,t +755,100%,Malta,1.0,t +29367,100%,Slovakia (Slovak Republic),3.0,t +9107,,Holy See (Vatican City State),1.0,t +27127,100%,Marshall Islands,9.0,t +18028,,Chad,1.0,t +41673,100%,France,1.0,t +41023,80%,Bosnia and Herzegovina,1.0,f +9165,,Kenya,1.0,f +32456,100%,Lebanon,3.0,t +8005,,Tonga,1.0,f +11190,,Uzbekistan,1.0,f +12959,60%,Mauritania,2.0,f +28090,,,4.0,t +12833,100%,Uzbekistan,3.0,t +31873,99%,Uzbekistan,22.0,f +25754,,,1.0,t +38863,100%,,1.0,t +30042,,Lebanon,1.0,t +18018,,,1.0,t +43633,50%,Sao Tome and Principe,2.0,f +35046,,Sao Tome and Principe,2.0,t +37348,,,1.0,f +23828,100%,Niue,1.0,f +46164,,Niger,1.0,f +6561,100%,Nicaragua,1.0,t +33563,,Zimbabwe,1.0,t +6187,100%,Micronesia,2.0,t +38922,,Russian Federation,1.0,t +24639,100%,Kenya,2.0,t +23987,100%,Monaco,1.0,f +31873,99%,Uzbekistan,22.0,f +18643,,Finland,1.0,t +18352,,Tokelau,4.0,t +25135,50%,Christmas Island,1.0,f +46022,100%,Niger,1.0,t +48738,,Senegal,1.0,t +9789,22%,Niue,1.0,t +36510,,Tonga,1.0,t +8247,,United Kingdom,1.0,f +12029,100%,Russian Federation,1.0,t +23795,100%,Indonesia,1.0,f +36811,,Uzbekistan,1.0,f +27951,,Guernsey,1.0,t +33219,100%,Uzbekistan,7.0,f +32270,100%,Chile,1.0,t +24711,79%,,2.0,f +22832,100%,Monaco,1.0,t +15969,80%,France,3.0,t +19995,90%,,1.0,f +36428,,Monaco,1.0,t +43650,100%,France,2.0,f +33219,100%,Uzbekistan,7.0,f +43650,100%,France,2.0,f +23541,89%,Rwanda,1.0,f +27373,,Anguilla,1.0,t +7765,100%,Niue,9.0,t +45672,100%,Tonga,1.0,t +46331,,China,1.0,t +48456,,Grenada,2.0,t +16825,100%,Russian Federation,2.0,t +46557,,,1.0,f +9365,90%,,1.0,t +45894,,Estonia,1.0,t +11255,93%,Suriname,41.0,f +23619,,Russian Federation,1.0,t +24019,,Russian Federation,1.0,t +12959,60%,Mauritania,2.0,f +23699,100%,Lebanon,1.0,t +10176,,Sao Tome and Principe,1.0,f +6493,100%,Marshall Islands,1.0,t +44655,70%,,3.0,t +2822,100%,Gambia,1.0,t +1515,,Gambia,1.0,f +9497,90%,,3.0,t +17017,,Isle of Man,1.0,t +22876,90%,Marshall Islands,2.0,t +26652,97%,Pakistan,6.0,f +36113,,Tonga,1.0,t +45831,100%,Niue,4.0,f +18381,,Croatia,2.0,f +42132,100%,Marshall Islands,1.0,f +31166,80%,Korea,1.0,f +15758,100%,Togo,1.0,f +47285,,Uzbekistan,2.0,t +44671,,Croatia,1.0,t +21798,,Monaco,1.0,t +33647,100%,Marshall Islands,1.0,t +3699,,Monaco,1.0,t +25434,100%,,2.0,t +10797,,Russian Federation,1.0,t +7811,100%,French Guiana,3.0,t +17065,,Russian Federation,1.0,t +35543,100%,Tonga,1.0,t +7188,,,1.0,t +47363,100%,,1.0,t +15750,,Pakistan,1.0,t +30959,100%,Zimbabwe,2.0,f +23427,100%,Rwanda,1.0,f +37541,,Niue,1.0,f +48817,,Monaco,2.0,t +18260,100%,Uzbekistan,1.0,t +48817,,Monaco,2.0,t +38975,,Brazil,1.0,t +38496,,Croatia,1.0,f +19217,98%,Marshall Islands,46.0,f +6931,,Monaco,1.0,t +35625,98%,Estonia,25.0,t +33349,,Chad,1.0,t +46942,,Holy See (Vatican City State),1.0,t +10610,100%,United Kingdom,6.0,t +28482,,,1.0,t +10610,100%,United Kingdom,6.0,t +33606,,Mauritania,2.0,t +18095,100%,Guinea,1.0,t +33606,,Mauritania,2.0,t +39042,100%,Mexico,2.0,t +2390,,,5.0,t +41496,,Lebanon,1.0,f +20525,100%,,1.0,t +15241,,Brazil,3.0,f +12990,,,1.0,f +26413,100%,Solomon Islands,1.0,f +43714,100%,Palestinian Territory,3.0,f +27238,,Tonga,2.0,t +23172,100%,,1.0,t +2226,0%,Nauru,1.0,f +24618,,Sao Tome and Principe,4.0,f +37400,100%,Uzbekistan,1.0,t +20463,100%,Lithuania,2.0,f +24817,,Gambia,2.0,t +36460,,,1.0,t +44214,,Russian Federation,1.0,t +16629,,Uzbekistan,1.0,t +34679,100%,Niger,2.0,t +36925,100%,,2.0,f +11595,100%,Tonga,1.0,t +253,100%,Myanmar,4.0,t +27213,99%,Jersey,7.0,t +30490,100%,Venezuela,2.0,t +47081,100%,Finland,1.0,t +48928,87%,French Guiana,5.0,f +11496,,Cocos (Keeling) Islands,3.0,t +39607,100%,,1.0,t +47048,,Jersey,1.0,t +45398,100%,Zimbabwe,1.0,t +9746,,Gibraltar,1.0,f +27689,,Maldives,1.0,f +13264,,Isle of Man,1.0,t +10076,,Canada,1.0,t +30728,,,1.0,t +23131,100%,Maldives,1.0,f +16984,100%,Russian Federation,1.0,f +22366,,Malta,1.0,f +25804,,,1.0,f +44835,100%,United Kingdom,3.0,f +43166,,Cocos (Keeling) Islands,1.0,t +49701,100%,Gambia,8.0,f +38881,100%,Uzbekistan,3.0,t +9003,,Bouvet Island (Bouvetoya),1.0,t +15061,,El Salvador,1.0,t +44791,100%,Costa Rica,2.0,t +32122,100%,,1.0,t +11410,,Togo,1.0,f +10610,100%,United Kingdom,6.0,t +1364,,Niue,1.0,t +22883,100%,Micronesia,1.0,t +6232,,Guinea,15.0,t +11103,72%,Russian Federation,3.0,f +29987,,Sao Tome and Principe,1.0,f +35056,,Marshall Islands,1.0,t +6232,,Guinea,15.0,t +47700,,,3.0,t +11583,,Papua New Guinea,1.0,t +6555,,Russian Federation,1.0,f +5149,50%,Guinea,1.0,f +48997,100%,Jersey,2.0,t +49934,100%,Liberia,9.0,t +36102,,Micronesia,1.0,f +20528,,,1.0,t +2142,100%,Puerto Rico,1.0,f +21117,,,2.0,t +4548,80%,Ecuador,1.0,t +17142,100%,Anguilla,1.0,f +33862,,France,1.0,t +7185,,French Guiana,1.0,f +14188,,,2.0,t +42423,,,2.0,f +42423,,,2.0,f +8170,100%,,1.0,t +25489,70%,Guernsey,1.0,f +7115,,Russian Federation,1.0,t +15269,100%,Cape Verde,2.0,t +44634,,,1.0,t +45161,100%,Togo,2.0,t +1991,,Faroe Islands,1.0,f +4651,,Guinea,1.0,t +1175,100%,Monaco,2.0,t +12821,100%,Tonga,1.0,t +29436,,,1.0,t +6974,100%,Barbados,1.0,t +16745,,,1.0,f +13829,100%,Malta,2.0,f +13829,100%,Malta,2.0,f +18326,100%,Monaco,1.0,f +31182,,,2.0,t +1008,,,1.0,t +46186,,,1.0,t +12471,67%,Gibraltar,1.0,t +47837,,Croatia,1.0,t +19309,100%,Maldives,3.0,t +13403,96%,Maldives,21.0,t +6741,80%,Nicaragua,2.0,t +35200,100%,Isle of Man,1.0,t +21090,100%,Kenya,1.0,t +10634,100%,Lithuania,3.0,t +18102,,El Salvador,1.0,t +3449,100%,Peru,1.0,t +4537,100%,Maldives,1.0,f +10610,100%,United Kingdom,6.0,t +23223,100%,Denmark,1.0,f +41346,97%,Estonia,7.0,t +10967,,Anguilla,1.0,t +30634,,Uzbekistan,1.0,t +8535,100%,,1.0,t +17645,,,1.0,t +4404,100%,,1.0,t +15077,,Niue,1.0,t +39074,,,1.0,f +40552,100%,Faroe Islands,1.0,t +5995,,Lebanon,2.0,t +43807,100%,Palestinian Territory,4.0,f +15096,,,1.0,t +5995,,Lebanon,2.0,t +29132,,Kenya,1.0,t +3664,,Brazil,2.0,t +20951,,Jersey,1.0,t +49213,,Micronesia,2.0,t +18436,,Croatia,1.0,t +36195,,Faroe Islands,1.0,t +8118,,Uruguay,1.0,t +25812,,Zimbabwe,1.0,f +32556,90%,Estonia,11.0,t +35880,,Kenya,1.0,t +46039,100%,France,1.0,t +7493,100%,Monaco,1.0,t +30603,67%,Lebanon,1.0,f +8484,100%,Monaco,17.0,t +8484,100%,Monaco,17.0,t +8484,100%,Monaco,17.0,t +46835,,Vanuatu,2.0,t +49152,,,2.0,t +46835,,Vanuatu,2.0,t +25406,,,2.0,t +27835,100%,Isle of Man,2.0,f +41527,100%,Monaco,1.0,t +10100,,Rwanda,2.0,t +18521,,,1.0,f +41914,,Libyan Arab Jamahiriya,1.0,t +46608,100%,Gibraltar,1.0,f +698,100%,,1.0,t +27163,100%,Korea,3.0,t +41701,100%,Monaco,1.0,f +45659,100%,Isle of Man,1.0,t +47370,,Marshall Islands,3.0,t +16875,100%,Svalbard & Jan Mayen Islands,3.0,t +37258,,Russian Federation,1.0,t +9128,,Chad,1.0,f +27781,0%,,1.0,t +20382,100%,Svalbard & Jan Mayen Islands,4.0,t +15282,100%,Nicaragua,1.0,t +23275,,Micronesia,5.0,t +39393,,Costa Rica,1.0,t +29444,100%,Lebanon,2.0,f +44741,100%,,1.0,t +10610,100%,United Kingdom,6.0,t +23659,,French Polynesia,2.0,t +32328,100%,Malta,2.0,f +46183,,,1.0,f +3275,,Bouvet Island (Bouvetoya),1.0,t +47422,99%,Uzbekistan,30.0,f +18566,90%,Nicaragua,2.0,t +24857,100%,Somalia,2.0,t +24373,,Tonga,1.0,f +15456,100%,Portugal,1.0,f +2353,100%,Senegal,2.0,t +26501,100%,Maldives,2.0,t +41168,100%,Malawi,4.0,t +34801,100%,Isle of Man,1.0,f +37094,,Zimbabwe,1.0,t +889,,Russian Federation,1.0,f +40106,,,1.0,t +43152,100%,Nicaragua,82.0,t +2164,82%,Rwanda,5.0,t +48503,90%,Sao Tome and Principe,5.0,t +23275,,Micronesia,5.0,t +9750,,Andorra,1.0,t +15809,,Gibraltar,1.0,t +45582,,Niue,1.0,f +29553,100%,,1.0,t +30040,,Nauru,1.0,t +25779,,Russian Federation,1.0,f +7696,97%,Russian Federation,7.0,t +7696,97%,Russian Federation,7.0,t +7696,97%,Russian Federation,7.0,t +7696,97%,Russian Federation,7.0,t +7696,97%,Russian Federation,7.0,t +22841,100%,Russian Federation,1.0,f +47947,,Monaco,1.0,t +16685,100%,Reunion,2.0,f +33059,,Malta,1.0,f +21094,,Ukraine,1.0,f +43957,,Andorra,1.0,t +13231,,Niue,1.0,t +45711,100%,Fiji,1.0,t +36055,100%,United Kingdom,1.0,t +21382,100%,Marshall Islands,4.0,f +17485,,Russian Federation,1.0,t +437,,Guinea,2.0,t +8350,82%,Nauru,2.0,t +15835,,United Kingdom,1.0,f +26368,100%,Brazil,2.0,f +30451,0%,Jersey,1.0,f +37983,100%,Costa Rica,1.0,t +5253,75%,,1.0,f +5520,,,1.0,t +32429,,Gambia,9.0,f +27407,50%,Micronesia,1.0,f +18613,100%,El Salvador,1.0,t +2960,,Niue,1.0,t +49243,100%,,1.0,f +20784,100%,,2.0,t +36719,,Guinea,1.0,f +26490,,Tanzania,2.0,t +40108,,Maldives,2.0,t +39291,,,1.0,t +16937,70%,Cocos (Keeling) Islands,3.0,f +22367,100%,Canada,3.0,t +32429,,Gambia,9.0,f +43468,100%,Gambia,2.0,t +43306,100%,,1.0,t +28424,,Venezuela,2.0,f +48433,33%,,1.0,t +36620,,Lebanon,1.0,t +42861,100%,,2.0,f +7643,100%,,1.0,t +13879,,Bahrain,1.0,f +19767,,Bosnia and Herzegovina,1.0,f +22645,40%,Senegal,1.0,t +15820,100%,,3.0,f +21024,100%,Spain,1.0,f +3687,,,1.0,f +45968,100%,Micronesia,4.0,t +32429,,Gambia,9.0,f +38713,,Russian Federation,1.0,t +35029,100%,Niue,4.0,f +10671,67%,Croatia,1.0,f +25653,,Sao Tome and Principe,1.0,t +12315,,Chad,1.0,t +10270,,,1.0,t +21577,,Peru,1.0,t +4688,,Monaco,1.0,t +36438,,Mauritania,2.0,t +16388,,Lithuania,1.0,f +31220,,Chile,1.0,t +18479,,Niue,1.0,f +4643,100%,Guinea,2.0,f +3989,100%,Marshall Islands,1.0,t +29709,100%,Tunisia,1.0,t +3329,,Uzbekistan,4.0,f +21585,0%,France,1.0,t +8018,100%,Monaco,1.0,t +41180,,,1.0,f +47283,,Ghana,4.0,t +19445,71%,Malawi,1.0,t +39601,,Faroe Islands,1.0,f +45990,0%,Sao Tome and Principe,1.0,t +21382,100%,Marshall Islands,4.0,f +44155,,Russian Federation,2.0,t +28318,,Chad,1.0,t +45535,,,1.0,t +39701,,Russian Federation,1.0,f +20303,100%,,1.0,t +19283,,Niue,1.0,f +21601,100%,Nicaragua,2.0,t +42229,100%,Fiji,25.0,f +42229,100%,Fiji,25.0,f +4641,100%,,1.0,f +46623,,Chad,1.0,t +29861,,Nauru,1.0,t +42056,90%,Bosnia and Herzegovina,2.0,t +3426,,Chad,2.0,t +7732,100%,Guinea,1.0,t +26260,,Micronesia,1.0,t +25143,,Lebanon,1.0,f +22039,100%,French Guiana,1.0,t +22421,,Zimbabwe,1.0,f +42861,100%,,2.0,f +29999,100%,Rwanda,3.0,t +25030,75%,Micronesia,1.0,t +15798,,Kiribati,2.0,t +42109,100%,Malta,1.0,f +26190,,Montserrat,1.0,t +30972,100%,Russian Federation,1.0,f +36427,100%,Gambia,4.0,t +1112,67%,Indonesia,1.0,t +26945,100%,Malta,1.0,f +20583,100%,,1.0,t +20666,100%,,1.0,t +46033,100%,,1.0,t +1883,90%,Reunion,2.0,t +42916,90%,Micronesia,1.0,t +27071,100%,El Salvador,1.0,f +28067,,French Guiana,1.0,t +37838,,Lebanon,2.0,t +5911,,Sao Tome and Principe,1.0,f +20143,,Senegal,1.0,t +34263,100%,,1.0,f +29093,100%,Uzbekistan,1.0,t +30817,100%,Senegal,1.0,t +36602,,Marshall Islands,1.0,t +24618,,Sao Tome and Principe,4.0,f +48571,100%,Uzbekistan,2.0,f +19303,100%,,1.0,f +3472,,,1.0,f +28217,,Sao Tome and Principe,2.0,f +12355,100%,Micronesia,1.0,t +44737,,El Salvador,2.0,f +23191,,Maldives,1.0,t +44345,83%,,1.0,f +49476,,Lebanon,1.0,f +40107,,Nicaragua,2.0,t +14150,,Uzbekistan,1.0,t +40276,100%,Anguilla,1.0,t +49631,100%,Costa Rica,2.0,f +27129,,,1.0,t +15365,100%,Faroe Islands,3.0,t +14747,100%,Jersey,1.0,t +16489,100%,Russian Federation,42.0,t +21823,,Ghana,1.0,f +5126,,Nauru,1.0,t +19217,98%,Marshall Islands,46.0,f +36842,,Monaco,1.0,f +36647,0%,Russian Federation,1.0,t +9938,,Rwanda,1.0,t +24287,,Chile,1.0,f +25608,100%,,1.0,t +43993,,,1.0,t +7499,,Congo,1.0,t +39057,100%,Jersey,2.0,t +37713,,Niger,1.0,t +24824,100%,Kiribati,4.0,t +35530,100%,,1.0,f +38772,100%,Croatia,1.0,t +24595,100%,Guinea,3.0,t +25110,100%,Malawi,1.0,t +38411,100%,Lithuania,1.0,t +12998,,,1.0,f +36226,,Montserrat,2.0,f +31967,100%,,1.0,t +38064,,,1.0,t +6553,,,1.0,f +9334,,Bouvet Island (Bouvetoya),2.0,t +25865,,Gibraltar,1.0,f +44032,,Tanzania,2.0,t +2603,96%,Uzbekistan,7.0,f +30529,100%,,1.0,f +3294,100%,Uganda,3.0,f +46840,,,1.0,t +5260,,Faroe Islands,1.0,f +15306,,Barbados,8.0,t +23366,100%,,3.0,t +47050,,Grenada,1.0,t +30916,100%,Tunisia,3.0,f +6238,,,1.0,f +18597,100%,Micronesia,2.0,f +23366,100%,,3.0,t +38655,100%,Jersey,1.0,f +3855,,Faroe Islands,1.0,f +10509,78%,Lebanon,2.0,f +15706,,Kenya,7.0,t +43927,100%,,1.0,t +6006,,Monaco,2.0,t +21872,,Ecuador,1.0,t +43172,,,1.0,f +31926,,,1.0,f +44194,100%,Indonesia,5.0,t +8204,,Sao Tome and Principe,1.0,f +44996,,Malta,1.0,f +36678,0%,Micronesia,1.0,t +25827,100%,Lebanon,1.0,t +2346,100%,Mauritania,2.0,t +533,,Isle of Man,1.0,t +7581,100%,Niue,1.0,f +45815,,French Guiana,1.0,f +31763,,Niger,2.0,t +1312,100%,Malta,1.0,t +24824,100%,Kiribati,4.0,t +9350,100%,Mauritania,3.0,t +18594,,Niue,1.0,f +29756,,Croatia,1.0,f +2646,100%,Marshall Islands,1.0,t +12208,100%,Saint Helena,2.0,f +49036,,Kenya,4.0,t +17811,,Niger,1.0,t +47209,,Zimbabwe,1.0,t +36717,100%,Guinea,3.0,t +39952,100%,Tonga,21.0,f +41080,89%,Tonga,10.0,t +43793,,Malawi,1.0,t +41919,100%,Kenya,1.0,t +7810,,El Salvador,1.0,t +23979,100%,Uzbekistan,1.0,t +39196,,French Guiana,1.0,t +44314,,Djibouti,1.0,t +4333,,Niger,1.0,t +8704,,Lebanon,2.0,f +13435,,Brazil,1.0,t +27219,,Gibraltar,3.0,t +4214,100%,Niue,3.0,t +11463,,Chad,1.0,f +23229,,Faroe Islands,2.0,f +24198,25%,French Guiana,4.0,f +42229,100%,Fiji,25.0,f +42229,100%,Fiji,25.0,f +42229,100%,Fiji,25.0,f +42229,100%,Fiji,25.0,f +39482,100%,,1.0,t +36608,,Jersey,1.0,f +20076,,Faroe Islands,1.0,f +39824,,Marshall Islands,1.0,f +35964,100%,Malta,1.0,t +33105,100%,Tonga,4.0,t +33105,100%,Tonga,4.0,t +1638,100%,Jersey,1.0,f +40092,,Rwanda,1.0,f +8240,,Chile,1.0,t +47422,99%,Uzbekistan,30.0,f +36997,100%,Wallis and Futuna,1.0,f +18412,83%,Marshall Islands,7.0,f +39971,,,1.0,f +21018,,,1.0,t +27186,100%,Zimbabwe,7.0,t +18412,83%,Marshall Islands,7.0,f +18412,83%,Marshall Islands,7.0,f +41041,100%,Malta,1.0,f +8028,100%,,1.0,t +37982,,Faroe Islands,2.0,f +4884,100%,Marshall Islands,3.0,f +1248,100%,Tonga,1.0,t +18325,,Guinea,1.0,f +14114,100%,Micronesia,3.0,t +48938,,Marshall Islands,3.0,t +39478,,Chile,1.0,t +11701,100%,,1.0,t +18789,100%,,1.0,f +40518,100%,Tanzania,1.0,t +40230,100%,Gibraltar,1.0,t +45466,,Micronesia,1.0,t +24696,,Lebanon,1.0,t +4458,,French Guiana,1.0,t +3342,,Russian Federation,1.0,t +23578,,Niue,1.0,t +27420,,Niue,1.0,f +26538,,Niue,1.0,t +5476,,Russian Federation,1.0,f +24073,100%,Zimbabwe,2.0,f +28270,0%,Cuba,1.0,f +45555,,Tanzania,2.0,f +49700,,Lebanon,1.0,t +40726,100%,Chile,1.0,t +35943,100%,Guinea,2.0,t +31569,,Guinea,2.0,t +10813,100%,Niue,1.0,f +19682,100%,Faroe Islands,15.0,t +40078,100%,Croatia,7.0,t +23367,,United Kingdom,1.0,t +16511,,Lebanon,2.0,f +9970,,China,1.0,t +17761,,Guinea,1.0,t +29503,100%,Russian Federation,1.0,f +16337,,Russian Federation,2.0,t +21782,,Bouvet Island (Bouvetoya),1.0,t +39198,,Russian Federation,1.0,t +5651,,,1.0,f +16769,80%,Isle of Man,2.0,f +49963,,Venezuela,1.0,f +32193,,Korea,1.0,t +33072,100%,El Salvador,4.0,f +43846,100%,Tonga,2.0,t +6975,,United Kingdom,1.0,t +40115,,Mauritania,1.0,t +9507,25%,Sierra Leone,5.0,t +45974,,Rwanda,1.0,f +26594,,Svalbard & Jan Mayen Islands,1.0,f +48520,,Lebanon,1.0,t +49314,100%,Mexico,2.0,t +15824,100%,Rwanda,3.0,t +28533,,,1.0,f +11778,,Monaco,1.0,t +7081,,,1.0,t +7114,100%,Russian Federation,1.0,f +5778,100%,Russian Federation,1.0,t +38397,,Sao Tome and Principe,1.0,t +30283,100%,Brazil,15.0,f +26490,,Tanzania,2.0,t +21777,,Denmark,1.0,t +22183,100%,Marshall Islands,2.0,t +26682,100%,France,2.0,f +5749,,Brunei Darussalam,1.0,f +12361,100%,Guernsey,4.0,t +13950,100%,Niue,3.0,f +36226,,Montserrat,2.0,f +36601,100%,Faroe Islands,1.0,t +19666,,Finland,2.0,t +21581,,Canada,1.0,f +7619,,Niue,1.0,f +8687,,French Polynesia,1.0,f +5016,100%,Uzbekistan,1.0,f +27904,100%,Ghana,1.0,t +31672,75%,Maldives,6.0,f +9874,100%,Montserrat,4.0,t +30511,,Isle of Man,1.0,t +38694,100%,,1.0,t +14501,100%,Chad,1.0,t +20785,63%,Chad,2.0,t +14612,100%,Kiribati,1.0,f +4588,100%,Malawi,1.0,t +46114,,Kiribati,1.0,f +27765,,,1.0,f +40699,,Senegal,1.0,t +21259,,Isle of Man,2.0,t +32032,100%,Chile,1.0,f +31103,,Netherlands,1.0,t +21440,100%,Mexico,1.0,f +34917,,Maldives,1.0,f +19328,100%,Kenya,1.0,f +11289,,Niue,1.0,f +22183,100%,Marshall Islands,2.0,t +35059,,Estonia,1.0,t +36083,,Bosnia and Herzegovina,1.0,f +10675,,Malta,1.0,f +33823,78%,France,17.0,t +25397,,Gibraltar,1.0,t +7662,,Russian Federation,1.0,t +35808,100%,Mexico,3.0,t +19271,100%,Jersey,11.0,f +393,,Lebanon,1.0,t +18412,83%,Marshall Islands,7.0,f +28902,,Marshall Islands,1.0,f +25947,100%,,1.0,t +98,,Indonesia,1.0,f +14467,,Niue,1.0,t +6566,100%,French Guiana,1.0,t +514,90%,Niger,1.0,f +37586,,Ecuador,1.0,f +31509,100%,Jersey,2.0,t +8401,,Guinea,1.0,f +11534,100%,Wallis and Futuna,1.0,t +33944,100%,,1.0,t +14950,100%,,1.0,t +1014,,French Guiana,1.0,f +6775,90%,,1.0,t +14211,,Niue,2.0,f +34334,,Uzbekistan,1.0,t +16595,,Guinea,1.0,f +44502,,Lebanon,1.0,f +13303,100%,Jersey,1.0,t +6965,,Sao Tome and Principe,1.0,t +14135,100%,Pitcairn Islands,5.0,f +6713,100%,Mauritania,10.0,f +47971,,Lebanon,1.0,t +13922,,Chile,3.0,t +44473,,Tunisia,1.0,f +35689,75%,Isle of Man,2.0,t +6291,,Sao Tome and Principe,2.0,f +46531,,Niue,2.0,f +43909,,Kenya,1.0,t +21212,75%,,1.0,f +17002,100%,Brazil,1.0,t +5325,0%,Mauritania,1.0,f +47206,100%,Mauritania,1.0,t +14079,,Russian Federation,1.0,f +32252,,Sao Tome and Principe,1.0,t +1851,100%,El Salvador,1.0,f +42965,100%,Uzbekistan,11.0,t +11953,,,1.0,f +749,,,1.0,f +36385,,,1.0,t +539,100%,French Guiana,1.0,f +44182,,Sao Tome and Principe,2.0,t +24182,100%,Jersey,2.0,t +46691,90%,Uzbekistan,38.0,f +7811,100%,French Guiana,3.0,t +13502,,Kenya,1.0,t +29948,,Cape Verde,1.0,t +34492,,,1.0,f +7990,100%,Puerto Rico,3.0,f +11538,100%,Papua New Guinea,5.0,t +36939,100%,Guinea,1.0,t +19278,,,1.0,f +36726,94%,Mexico,6.0,f +36726,94%,Mexico,6.0,f +3030,100%,Tunisia,2.0,f +13358,,Bosnia and Herzegovina,1.0,t +46493,,,1.0,f +26680,,Nauru,1.0,f +16512,100%,,2.0,t +18412,83%,Marshall Islands,7.0,f +40378,100%,Chad,3.0,f +29032,,,1.0,t +42625,,Russian Federation,1.0,t +2042,90%,Gambia,7.0,f +47291,67%,Faroe Islands,1.0,f +17801,80%,Mauritania,2.0,t +43655,100%,Lebanon,1.0,t +16939,,Senegal,11.0,t +25554,100%,Somalia,2.0,t +40544,,,1.0,t +41137,0%,,1.0,f +13970,50%,Wallis and Futuna,1.0,f +38142,,,1.0,f +31276,,,1.0,t +42770,,Holy See (Vatican City State),3.0,t +36980,100%,Niue,3.0,t +8586,,Svalbard & Jan Mayen Islands,1.0,t +28535,100%,Netherlands,1.0,t +29853,,Switzerland,1.0,t +46502,,Niue,1.0,f +25751,,Brunei Darussalam,1.0,f +35791,,Montserrat,2.0,t +8323,,Sao Tome and Principe,1.0,f +21898,,Russian Federation,1.0,t +4363,,Lebanon,2.0,f +2042,90%,Gambia,7.0,f +16070,,Netherlands,1.0,t +16939,,Senegal,11.0,t +7335,,Lebanon,2.0,t +42229,100%,Fiji,25.0,f +7335,,Lebanon,2.0,t +5307,100%,Zimbabwe,3.0,t +30732,,,2.0,f +18196,89%,Malawi,1.0,t +24824,100%,Kiribati,4.0,t +2300,,,1.0,f +39234,,Venezuela,3.0,t +38602,,Zimbabwe,1.0,f +18104,,Kenya,1.0,t +7473,,Zimbabwe,3.0,t +1512,100%,Indonesia,1.0,f +13661,,United Kingdom,1.0,t +46246,,Guinea,1.0,f +4705,,China,2.0,t +6006,,Monaco,2.0,t +42822,50%,Jersey,1.0,f +47283,,Ghana,4.0,t +41451,,Isle of Man,1.0,t +30732,,,2.0,f +22925,,El Salvador,1.0,t +2604,,Cook Islands,2.0,t +1666,,Micronesia,1.0,f +8927,,Bouvet Island (Bouvetoya),1.0,t +4950,,French Guiana,1.0,t +35843,,Russian Federation,1.0,t +42200,,Chile,1.0,t +42357,,Micronesia,1.0,t +37108,,Kiribati,1.0,t +33571,,,1.0,t +4415,100%,Tonga,2.0,t +22208,,Chad,1.0,t +32668,,Svalbard & Jan Mayen Islands,1.0,t +16927,100%,Vanuatu,2.0,f +24845,,Niue,1.0,t +41500,100%,,1.0,t +14716,,Faroe Islands,2.0,t +28310,100%,Costa Rica,2.0,t +43147,,Gambia,1.0,t +20784,100%,,2.0,t +49993,100%,Guinea,1.0,t +32085,,Micronesia,1.0,t +2353,100%,Senegal,2.0,t +21462,100%,Guinea,4.0,t +4129,100%,Niue,3.0,t +1976,100%,Marshall Islands,1.0,t +42427,,Nicaragua,1.0,t +13362,,,1.0,t +24796,,Kenya,2.0,t +29426,90%,French Guiana,1.0,t +36206,86%,Russian Federation,10.0,f +32606,,Tonga,2.0,t +6222,,Russian Federation,1.0,t +41162,,Niue,2.0,f +33806,,Monaco,1.0,t +13110,100%,Wallis and Futuna,2.0,t +1700,,Andorra,1.0,t +12138,80%,Isle of Man,2.0,t +11246,69%,Maldives,4.0,t +11246,69%,Maldives,4.0,t +31368,100%,Faroe Islands,1.0,f +48732,,Mauritania,1.0,t +8546,,San Marino,1.0,t +13931,100%,Guinea,1.0,f +20194,100%,Russian Federation,2.0,t +36681,100%,Tunisia,1.0,t +19587,,Isle of Man,1.0,t +617,,Niue,1.0,t +18118,,Zimbabwe,3.0,t +30623,,Barbados,1.0,t +43823,,Chad,2.0,t +12877,,Croatia,1.0,t +43675,70%,Micronesia,2.0,f +35503,100%,Mexico,3.0,f +38162,100%,Niger,8.0,f +29874,,Chad,1.0,t +38373,,Tunisia,2.0,t +18153,,Vanuatu,1.0,t +18118,,Zimbabwe,3.0,t +24848,100%,Andorra,2.0,t +23011,,,1.0,f +39952,100%,Tonga,21.0,f +36645,100%,Isle of Man,1.0,f +12346,,Denmark,1.0,t +7942,,Brazil,4.0,t +39745,,,1.0,t +42770,,Holy See (Vatican City State),3.0,t +45650,,Malta,1.0,t +41942,,Bouvet Island (Bouvetoya),1.0,t +31680,,Guinea,1.0,f +32849,,,1.0,t +22643,,Reunion,1.0,t +12230,90%,Guinea,3.0,f +36141,,,1.0,t +12171,,,1.0,f +37704,96%,Fiji,26.0,f +42065,,,1.0,f +35527,100%,Marshall Islands,13.0,f +38313,,Philippines,1.0,t +12560,100%,Monaco,2.0,t +44737,,El Salvador,2.0,f +22432,,Lebanon,1.0,t +49699,,Andorra,1.0,t +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +48754,100%,Jersey,1.0,t +35527,100%,Marshall Islands,13.0,f +28570,,Kenya,1.0,t +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +35527,100%,Marshall Islands,13.0,f +37867,,Niue,2.0,f +18540,,Uzbekistan,1.0,t +30731,100%,,5.0,t +47172,50%,Lebanon,1.0,t +14491,,,1.0,f +34911,,Marshall Islands,1.0,f +31307,,,2.0,t +32760,100%,,2.0,f +45128,,,1.0,f +11622,100%,,3.0,t +2829,100%,Monaco,1.0,f +34343,100%,Marshall Islands,1.0,t +33277,,Pakistan,1.0,f +21886,,Croatia,5.0,t +34962,,Gambia,1.0,t +16298,100%,Tanzania,2.0,t +10343,,Bouvet Island (Bouvetoya),2.0,f +39020,,Micronesia,4.0,t +29339,,Tunisia,1.0,f +11844,75%,Saint Helena,1.0,t +3697,,,1.0,t +45091,,Tonga,1.0,t +29148,75%,Anguilla,1.0,t +48455,89%,Uzbekistan,20.0,t +29284,,Reunion,2.0,f +13223,,Isle of Man,1.0,f +4724,,,1.0,t +24747,100%,Nicaragua,6.0,f +15892,,Mexico,3.0,t +37478,100%,,1.0,t +13279,100%,Isle of Man,2.0,t +45344,,Guinea,1.0,f +11940,,Switzerland,1.0,t +27950,95%,Indonesia,1.0,t +49970,,Papua New Guinea,1.0,f +33427,100%,Switzerland,5.0,t +37403,,,1.0,f +13672,,,1.0,f +9348,,Tonga,1.0,t +34561,,Isle of Man,1.0,f +15788,,Cuba,1.0,t +17965,100%,Mauritania,6.0,f +6226,,Lebanon,1.0,t +32382,,Sao Tome and Principe,1.0,f +18316,100%,Greenland,1.0,f +29776,90%,Russian Federation,2.0,f +16178,100%,French Guiana,17.0,t +17154,,Finland,1.0,t +18053,,Sao Tome and Principe,1.0,f +47421,100%,Congo,1.0,t +43113,100%,,1.0,t +12874,100%,,1.0,t +14702,,,1.0,f +26673,100%,Congo,1.0,t +182,,Uzbekistan,1.0,t +15740,90%,Uzbekistan,1.0,t +10674,100%,Marshall Islands,2.0,t +42480,100%,Turks and Caicos Islands,1.0,f +30716,,,1.0,f +30821,,Niger,1.0,t +15678,,Lebanon,1.0,t +41818,,,1.0,t +20785,63%,Chad,2.0,t +48302,,Russian Federation,2.0,t +48484,80%,Faroe Islands,3.0,f +44750,,,1.0,t +30513,100%,Vietnam,1.0,t +29895,,,1.0,f +45520,75%,,1.0,t +30591,100%,,1.0,t +16336,,Isle of Man,1.0,f +20758,100%,Uzbekistan,2.0,t +13110,100%,Wallis and Futuna,2.0,t +9705,,Bouvet Island (Bouvetoya),1.0,f +30916,100%,Tunisia,3.0,f +13698,,,1.0,t +2910,,Lebanon,1.0,f +33496,80%,Marshall Islands,2.0,t +46303,,Kenya,2.0,t +14211,,Niue,2.0,f +10556,,Lebanon,1.0,t +17098,,Russian Federation,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +10922,100%,,1.0,t +40848,100%,Niue,3.0,f +31182,,,2.0,t +3185,67%,Lebanon,1.0,t +13869,100%,Micronesia,1.0,t +19432,100%,Lithuania,1.0,t +8339,,Denmark,1.0,f +38097,100%,Kenya,1.0,t +624,100%,Barbados,4.0,f +23167,,Gambia,1.0,t +138,,Netherlands,3.0,t +5732,,Ghana,2.0,t +36187,100%,Holy See (Vatican City State),1.0,t +35298,90%,Indonesia,8.0,t +20817,,Ghana,1.0,f +19690,,,1.0,f +17220,,,1.0,t +34784,60%,Faroe Islands,19.0,t +9154,100%,Djibouti,2.0,f +40540,,Cape Verde,7.0,f +48299,100%,Uzbekistan,1.0,f +12084,100%,Faroe Islands,1.0,t +6066,100%,Bahrain,1.0,t +35632,94%,Tonga,2.0,f +46538,,Guinea,1.0,f +36585,,Philippines,1.0,f +35298,90%,Indonesia,8.0,t +21781,100%,Isle of Man,1.0,t +8150,,Svalbard & Jan Mayen Islands,1.0,t +25683,100%,Puerto Rico,2.0,f +12542,98%,Mauritania,19.0,t +41168,100%,Malawi,4.0,t +976,100%,Zimbabwe,2.0,t +14171,100%,Russian Federation,3.0,f +44139,100%,,3.0,t +37367,,Kenya,1.0,t +306,100%,El Salvador,3.0,f +24316,,Niue,1.0,t +29203,100%,Kenya,1.0,t +18324,100%,Russian Federation,1.0,t +24308,60%,Guinea,1.0,f +5334,,Rwanda,2.0,t +23054,50%,Isle of Man,1.0,f +37649,,Niue,1.0,t +31006,,Niue,1.0,f +26990,100%,Chad,1.0,t +31580,100%,Niue,2.0,t +19057,100%,Malta,1.0,t +10007,,Svalbard & Jan Mayen Islands,1.0,t +15106,,Gambia,1.0,t +12889,,,1.0,t +11246,69%,Maldives,4.0,t +46747,,Tonga,1.0,t +41400,0%,,1.0,f +3916,100%,Guernsey,1.0,t +10513,100%,Cuba,1.0,t +5513,,Uruguay,1.0,t +3005,100%,Gambia,1.0,t +913,,Russian Federation,1.0,t +38150,,Micronesia,2.0,t +34049,90%,Isle of Man,1.0,t +1242,,Sao Tome and Principe,1.0,f +26756,,Chad,1.0,f +13818,100%,Maldives,1.0,f +47750,,France,1.0,t +30699,,French Guiana,2.0,t +41275,100%,Marshall Islands,1.0,f +21379,,Netherlands,2.0,t +44070,100%,Ukraine,1.0,t +47554,,Rwanda,2.0,f +41943,0%,Guinea,2.0,f +5994,,Uzbekistan,2.0,f +16869,,Kiribati,2.0,t +48690,100%,Guinea,1.0,t +35298,90%,Indonesia,8.0,t +49676,100%,Guinea,3.0,f +16454,,Marshall Islands,1.0,t +35298,90%,Indonesia,8.0,t +5568,,Montserrat,1.0,t +28217,,Sao Tome and Principe,2.0,f +43246,,Chad,1.0,t +28301,100%,United Kingdom,2.0,f +5334,,Rwanda,2.0,t +7286,100%,,1.0,t +6366,100%,Niue,1.0,f +19827,,Lebanon,1.0,t +9120,,Mauritania,1.0,t +646,,Estonia,1.0,f +17070,82%,Cuba,1.0,f +31591,100%,,1.0,t +7792,,Holy See (Vatican City State),1.0,f +22782,,Guinea,1.0,t +39058,,,1.0,t +18177,93%,Fiji,10.0,f +29367,100%,Slovakia (Slovak Republic),3.0,t +45212,,,1.0,t +38849,,,1.0,f +29367,100%,Slovakia (Slovak Republic),3.0,t +22974,,Cook Islands,1.0,f +48455,89%,Uzbekistan,20.0,t +31960,,Marshall Islands,1.0,t +32411,,Micronesia,1.0,f +42563,90%,Micronesia,3.0,t +38248,100%,Guernsey,1.0,f +33105,100%,Tonga,4.0,t +7217,,Sao Tome and Principe,1.0,f +41907,,El Salvador,3.0,t +9711,89%,Micronesia,2.0,t +30731,100%,,5.0,t +30731,100%,,5.0,t +46126,100%,Zimbabwe,2.0,f +30140,100%,Lebanon,4.0,t +6791,,Russian Federation,2.0,f +31372,100%,Russian Federation,1.0,t +7970,90%,Isle of Man,3.0,t +38406,96%,Russian Federation,6.0,t +37171,,El Salvador,1.0,f +1192,,Nicaragua,2.0,t +33166,100%,Cocos (Keeling) Islands,1.0,t +35298,90%,Indonesia,8.0,t +35157,100%,Malawi,2.0,t +32593,82%,,6.0,t +37704,96%,Fiji,26.0,f +42739,100%,,1.0,f +3712,100%,Zimbabwe,1.0,f +6443,,Uzbekistan,1.0,f +41594,,,1.0,t +27677,,Marshall Islands,1.0,t +21195,,Mexico,1.0,t +35298,90%,Indonesia,8.0,t +4096,,Tunisia,1.0,f +2069,100%,Gambia,4.0,t +13282,,Bosnia and Herzegovina,1.0,f +27180,100%,Mauritania,1.0,t +33096,,Marshall Islands,2.0,t +47964,,Chile,3.0,f +47755,,Sao Tome and Principe,1.0,f +21175,,Nauru,1.0,f +22786,,Kenya,2.0,f +37932,100%,Canada,2.0,t +41161,,,1.0,f +25453,100%,,1.0,f +43139,,Uzbekistan,1.0,t +13706,,,1.0,f +4277,,,1.0,t +30897,100%,Turkmenistan,4.0,t +38312,56%,,1.0,f +43073,100%,Isle of Man,1.0,t +49791,30%,Faroe Islands,2.0,f +25864,,Micronesia,1.0,f +12655,100%,,1.0,t +7485,100%,Tonga,3.0,f +42182,100%,Jersey,1.0,f +27232,,Faroe Islands,1.0,t +17965,100%,Mauritania,6.0,f +493,,Turkmenistan,1.0,f +10100,,Rwanda,2.0,t +37343,75%,Ecuador,4.0,t +3752,,Lithuania,1.0,f +6045,,Congo,1.0,f +29288,,,1.0,t +9373,,Guinea,1.0,t +24999,100%,France,6.0,f +41300,100%,,1.0,t +41059,,Niue,1.0,f +16966,,Denmark,2.0,t +26070,100%,Holy See (Vatican City State),6.0,t +48017,100%,Lebanon,1.0,f +19412,100%,French Guiana,1.0,t +24026,98%,Cape Verde,69.0,t +4285,,Chile,1.0,t +29135,,Gambia,1.0,t +38630,100%,Kiribati,2.0,t +38630,100%,Kiribati,2.0,t +36441,100%,,1.0,t +44523,100%,Monaco,1.0,t +45471,,,1.0,t +34076,100%,Niue,7.0,t +42269,94%,Russian Federation,3.0,t +18210,,Chad,1.0,t +16836,,French Guiana,1.0,t +41214,,Guinea,1.0,t +3748,,Russian Federation,1.0,t +2089,,Russian Federation,1.0,f +44237,100%,Andorra,1.0,t +35098,,Isle of Man,1.0,t +29240,67%,Kenya,1.0,f +7520,100%,Ukraine,15.0,t +49115,100%,Micronesia,1.0,t +7520,100%,Ukraine,15.0,t +11255,93%,Suriname,41.0,f +6798,,,1.0,t +20632,,Russian Federation,1.0,t +3890,,Niue,1.0,f +16441,,Ghana,1.0,t +7520,100%,Ukraine,15.0,t +7520,100%,Ukraine,15.0,t +7373,,Mauritania,9.0,t +49324,,,1.0,f +39797,100%,,1.0,t +21382,100%,Marshall Islands,4.0,f +8735,100%,Guinea,1.0,f +44516,,,1.0,f +20334,99%,Niger,171.0,t +10502,93%,Indonesia,9.0,f +4105,100%,Malawi,3.0,f +9154,100%,Djibouti,2.0,f +48223,,Switzerland,1.0,f +41069,100%,Vietnam,1.0,t +31135,,Zimbabwe,1.0,f +2470,80%,Brazil,4.0,t +27333,100%,Netherlands,1.0,t +25236,100%,Russian Federation,1.0,t +1819,97%,Malta,3.0,t +32672,,,1.0,t +6400,100%,Andorra,2.0,t +46643,,Croatia,1.0,f +44517,,Jersey,1.0,f +11123,100%,,1.0,t +35777,100%,Guernsey,1.0,t +47966,,Chile,1.0,t +35886,,,2.0,f +11208,,Rwanda,4.0,t +45269,,Nauru,1.0,t +47111,100%,,1.0,f +8763,100%,,1.0,f +18659,,El Salvador,1.0,t +26151,,French Guiana,1.0,t +29943,,Rwanda,1.0,t +48531,100%,Sao Tome and Principe,2.0,t +44290,,,1.0,f +16993,100%,Niue,1.0,f +46455,92%,Uzbekistan,4.0,t +7531,,Lebanon,1.0,t +12131,,Isle of Man,1.0,t +22498,50%,Christmas Island,1.0,t +36552,,Maldives,4.0,f +21567,100%,Nicaragua,1.0,t +42880,,Gambia,2.0,f +46199,80%,Somalia,3.0,f +17206,,Marshall Islands,1.0,t +49222,,Sao Tome and Principe,1.0,t +24897,100%,,1.0,f +41178,50%,Barbados,1.0,t +38905,,Venezuela,1.0,f +16511,,Lebanon,2.0,f +3794,100%,Tunisia,1.0,t +34470,,Denmark,3.0,t +34319,,Gibraltar,1.0,t +19630,50%,Niue,2.0,t +46683,,Marshall Islands,1.0,f +34470,,Denmark,3.0,t +724,100%,Zimbabwe,8.0,f +37825,,Kenya,1.0,t +10562,100%,Zimbabwe,3.0,f +724,100%,Zimbabwe,8.0,f +21673,,Cocos (Keeling) Islands,1.0,t +38387,100%,Sao Tome and Principe,1.0,t +49119,100%,Papua New Guinea,1.0,t +29672,,,1.0,t +9297,,Tanzania,1.0,t +1017,,Faroe Islands,1.0,t +6826,,Russian Federation,1.0,t +44351,80%,Monaco,1.0,t +32094,,Isle of Man,1.0,t +20752,100%,Reunion,1.0,t +33473,,,1.0,t +16343,100%,French Guiana,3.0,f +23643,100%,Sao Tome and Principe,1.0,t +31949,,,1.0,f +49878,100%,Maldives,2.0,t +23085,,Chad,1.0,t +35368,100%,Kiribati,1.0,f +31477,,Gibraltar,1.0,t +39532,100%,Turkmenistan,1.0,t +11255,93%,Suriname,41.0,f +5930,,Anguilla,1.0,f +20631,,French Guiana,1.0,t +34296,,Kenya,3.0,f +13997,100%,Turks and Caicos Islands,1.0,t +2340,,,1.0,f +2231,,Sao Tome and Principe,1.0,t +3417,,Fiji,32.0,t +8640,,Niue,1.0,t +3417,,Fiji,32.0,t +3417,,Fiji,32.0,t +37389,,,1.0,f +41674,90%,Indonesia,2.0,t +47105,100%,Vanuatu,2.0,t +48616,100%,El Salvador,2.0,t +5514,100%,Ecuador,3.0,f +48969,,Niue,1.0,t +26628,80%,Maldives,3.0,t +8652,100%,Malawi,2.0,f +48065,,Guinea,1.0,f +40119,,,1.0,f +34185,100%,Cape Verde,1.0,t +40244,80%,Malawi,1.0,t +31601,,,1.0,t +38472,,French Guiana,1.0,t +19177,100%,Russian Federation,1.0,t +10119,100%,,1.0,t +3461,,Gambia,1.0,t +28021,83%,Isle of Man,2.0,f +31984,100%,,1.0,t +40162,,Lebanon,1.0,f +11974,100%,Turkmenistan,4.0,t +28204,,,1.0,t +48076,,Kenya,2.0,t +26150,,,2.0,t +16778,,Jersey,1.0,f +14403,100%,Uzbekistan,1.0,f +31921,,Brazil,2.0,t +7278,100%,Kiribati,2.0,f +32737,100%,,1.0,t +14304,100%,Venezuela,1.0,t +14512,100%,Uzbekistan,1.0,t +38208,,,2.0,t +15873,100%,,1.0,t +23259,100%,Senegal,2.0,t +26628,80%,Maldives,3.0,t +27238,,Tonga,2.0,t +34368,,Croatia,1.0,t +2795,100%,Montserrat,2.0,t +38666,100%,,1.0,f +35785,100%,Uzbekistan,1.0,t +15190,,Guernsey,1.0,t +29395,,Sao Tome and Principe,1.0,t +21832,,,1.0,f +6911,,Mauritania,2.0,f +37322,,Lebanon,2.0,f +41019,100%,Brazil,1.0,t +2215,100%,,2.0,f +16096,100%,Lithuania,1.0,f +12985,86%,Chad,2.0,f +14055,80%,,1.0,t +4877,100%,Grenada,1.0,t +11819,,French Polynesia,1.0,f +22705,100%,Niue,2.0,f +35221,100%,Turks and Caicos Islands,30.0,t +48567,,Monaco,1.0,t +24222,100%,Chad,1.0,f +35713,,Jersey,1.0,f +33124,100%,Niue,1.0,t +43825,100%,Sao Tome and Principe,1.0,t +49567,100%,Saint Helena,4.0,t +6042,,Monaco,1.0,t +42085,,Denmark,1.0,f +18571,,,1.0,t +33660,,,1.0,f +8946,100%,Uzbekistan,1.0,t +29655,,,1.0,t +9662,0%,,1.0,t +40314,100%,Gambia,1.0,f +28173,,Uzbekistan,1.0,f +6979,,,1.0,f +12123,80%,Puerto Rico,8.0,t +12123,80%,Puerto Rico,8.0,t +13344,100%,Anguilla,2.0,f +567,80%,Russian Federation,1.0,t +26847,,Saint Helena,2.0,t +14164,,Ghana,1.0,t +37577,100%,Lebanon,3.0,t +28105,100%,Guinea,1.0,t +1827,100%,Uzbekistan,3.0,t +16791,,France,1.0,f +27584,100%,Chile,2.0,t +35459,100%,Cuba,2.0,t +30917,,Niue,1.0,f +43305,,Isle of Man,1.0,t +47071,40%,Sao Tome and Principe,3.0,t +47071,40%,Sao Tome and Principe,3.0,t +43979,100%,Isle of Man,3.0,t +20398,100%,,1.0,t +36131,100%,Bouvet Island (Bouvetoya),6.0,f +49676,100%,Guinea,3.0,f +38605,,Bouvet Island (Bouvetoya),2.0,f +8905,,Cocos (Keeling) Islands,2.0,t +13704,,,1.0,t +4105,100%,Malawi,3.0,f +12746,100%,Libyan Arab Jamahiriya,1.0,t +39141,,,1.0,f +49399,100%,Guinea,4.0,t +17270,100%,Niue,1.0,t +3011,,Guinea,2.0,f +36552,,Maldives,4.0,f +42039,71%,,1.0,t +10024,,Venezuela,3.0,t +11974,100%,Turkmenistan,4.0,t +15204,,,1.0,t +8878,,Nauru,2.0,f +18538,100%,,1.0,t +27876,,,1.0,f +19629,100%,Venezuela,2.0,f +16343,100%,French Guiana,3.0,f +8716,80%,Sao Tome and Principe,2.0,t +41473,,Niue,2.0,t +46297,100%,Sao Tome and Principe,12.0,t +32076,,,1.0,f +42154,100%,Isle of Man,2.0,t +27172,100%,,1.0,f +24026,98%,Cape Verde,69.0,t +32727,,,1.0,t +9162,,Isle of Man,2.0,t +49676,100%,Guinea,3.0,f +22784,100%,Rwanda,5.0,f +47769,,Christmas Island,1.0,f +32984,,,1.0,t +32356,,Chad,1.0,f +18073,20%,Niue,2.0,t +33197,,United Kingdom,1.0,f +13326,100%,Marshall Islands,2.0,t +49696,100%,Maldives,2.0,t +40446,100%,Tanzania,2.0,t +21737,88%,Sao Tome and Principe,2.0,f +8738,,,2.0,t +10664,100%,Marshall Islands,5.0,f +10664,100%,Marshall Islands,5.0,f +6457,100%,,1.0,t +20160,,Uganda,1.0,f +43950,0%,Guernsey,1.0,t +26918,100%,,1.0,f +4474,,Lithuania,1.0,t +37818,100%,Tonga,2.0,f +37190,,Jersey,1.0,t +18115,,Sao Tome and Principe,1.0,t +18395,0%,,1.0,t +49558,100%,Malta,5.0,t +45831,100%,Niue,4.0,f +48873,,United Kingdom,1.0,t +18412,83%,Marshall Islands,7.0,f +42598,100%,Brunei Darussalam,1.0,f +4520,,Niger,1.0,f +47074,100%,Moldova,2.0,f +27915,,,1.0,f +45312,,Estonia,1.0,t +34470,,Denmark,3.0,t +37339,,Marshall Islands,1.0,f +34907,,Nicaragua,1.0,t +11563,,Gambia,1.0,t +47461,,Bosnia and Herzegovina,1.0,t +13530,,Faroe Islands,1.0,t +10648,80%,Gibraltar,1.0,t +38732,,Chad,2.0,t +13681,,,1.0,f +3579,,,1.0,f +42518,100%,Anguilla,2.0,t +21536,50%,Gambia,1.0,f +16071,,Guinea,1.0,f +45138,79%,Barbados,14.0,f +43430,100%,Kenya,1.0,f +35277,100%,France,2.0,t +48319,100%,Bahrain,1.0,f +44857,100%,Zimbabwe,24.0,t +972,100%,El Salvador,1.0,t +32663,,,1.0,f +8484,100%,Monaco,17.0,t +1576,50%,,1.0,f +25268,,Guinea,1.0,t +21708,100%,Nauru,2.0,t +19260,,Zimbabwe,1.0,f +37757,100%,,2.0,t +42746,78%,Somalia,2.0,t +3934,100%,Rwanda,4.0,f +19666,,Finland,2.0,t +31307,,,2.0,t +32396,,,1.0,t +31403,,Latvia,2.0,t +29224,,,2.0,t +4184,56%,Gambia,1.0,f +32958,90%,,1.0,t +46648,100%,Faroe Islands,4.0,t +10354,100%,,1.0,f +36885,100%,,1.0,f +28568,100%,Faroe Islands,3.0,f +37187,,France,3.0,t +34728,,Russian Federation,1.0,t +35885,,Guinea,1.0,t +2478,,Mauritania,1.0,f +31562,,Lebanon,1.0,t +6205,100%,,1.0,t +44527,100%,Malta,2.0,f +7439,100%,,1.0,t +42727,78%,Lebanon,1.0,f +41739,,Russian Federation,1.0,t +635,100%,Guinea,2.0,f +16342,,Marshall Islands,6.0,t +16538,100%,Tanzania,1.0,t +41429,,Malta,2.0,t +21053,90%,Senegal,1.0,f +6813,,,1.0,t +48695,,,1.0,f +41079,100%,France,1.0,t +20003,,Brazil,2.0,f +18131,,Uganda,1.0,t +33799,,Zimbabwe,2.0,f +41534,,,1.0,f +40452,100%,,1.0,t +8420,100%,Reunion,1.0,f +48191,100%,Lebanon,2.0,t +11052,,French Guiana,1.0,t +7446,,Nauru,1.0,f +1469,,,1.0,f +16943,,French Guiana,2.0,t +12216,97%,Uzbekistan,4.0,f +22781,100%,Croatia,1.0,f +18387,,Tonga,1.0,f +40941,94%,Russian Federation,4.0,t +19843,100%,Turkmenistan,3.0,t +37107,90%,Marshall Islands,1.0,f +46405,100%,Vietnam,8.0,t +28381,0%,Mauritania,1.0,f +6016,,Rwanda,1.0,f +41189,100%,Mauritania,4.0,t +31137,,,1.0,t +7373,,Mauritania,9.0,t +3782,,Bosnia and Herzegovina,1.0,f +42229,100%,Fiji,25.0,f +42229,100%,Fiji,25.0,f +14925,100%,,1.0,t +22876,90%,Marshall Islands,2.0,t +37782,,Lithuania,1.0,f +1282,,Kiribati,1.0,t +14599,,Malta,2.0,f +14599,,Malta,2.0,f +19682,100%,Faroe Islands,15.0,t +40204,,,1.0,t +3290,,Solomon Islands,1.0,f +40678,100%,Ecuador,3.0,t +26614,,,2.0,t +5567,100%,Bosnia and Herzegovina,2.0,t +30304,100%,Somalia,2.0,t +43468,100%,Gambia,2.0,t +38659,,Niue,1.0,t +31534,100%,,1.0,f +18777,100%,Holy See (Vatican City State),3.0,t +28950,100%,Mexico,2.0,t +46767,100%,El Salvador,3.0,t +11581,100%,Kiribati,1.0,t +5663,,Russian Federation,8.0,t +6113,100%,Guinea,2.0,t +6113,100%,Guinea,2.0,t +7520,100%,Ukraine,15.0,t +49399,100%,Guinea,4.0,t +8791,70%,,4.0,f +5801,,Malawi,1.0,t +26358,70%,Monaco,3.0,t +37445,100%,Jersey,2.0,f +28126,100%,Turks and Caicos Islands,1.0,t +8991,100%,Marshall Islands,2.0,t +12975,,Lebanon,2.0,t +44911,100%,Micronesia,2.0,t +33552,90%,Slovakia (Slovak Republic),1.0,t +35804,100%,China,1.0,f +33910,100%,Rwanda,8.0,t +12023,,French Guiana,2.0,f +40333,100%,Lithuania,1.0,t +36691,,,3.0,f +27354,,Cocos (Keeling) Islands,1.0,t +34632,,Jersey,1.0,t +45031,,,1.0,t +36855,,Faroe Islands,1.0,f +9561,,Lebanon,1.0,t +13280,100%,Vanuatu,2.0,t +24340,,,1.0,t +41864,100%,,1.0,t +2512,,Cape Verde,6.0,t +43213,,Lebanon,1.0,f +9111,,Lebanon,2.0,f +34250,,Bosnia and Herzegovina,2.0,t +349,,Uzbekistan,1.0,t +43038,,Venezuela,1.0,t +31867,100%,Gibraltar,1.0,t +48348,100%,United Kingdom,1.0,t +47383,0%,Marshall Islands,1.0,f +1182,100%,Russian Federation,2.0,t +32757,,,1.0,f +48365,,Niue,2.0,t +5370,60%,Kenya,5.0,f +37260,100%,Kiribati,2.0,f +31801,50%,Tonga,2.0,f +37982,,Faroe Islands,2.0,f +16996,,,1.0,t +16131,100%,Marshall Islands,1.0,t +48496,100%,Brazil,1.0,t +36767,,,1.0,f +33219,100%,Uzbekistan,7.0,f +33859,,France,1.0,f +11021,,Slovakia (Slovak Republic),1.0,t +47229,,Jersey,1.0,t +35471,,Russian Federation,1.0,t +19808,89%,Denmark,2.0,f +33693,0%,France,1.0,t +39909,,Djibouti,1.0,t +30054,,Gibraltar,1.0,t +41907,,El Salvador,3.0,t +7582,100%,Lithuania,2.0,f +20536,100%,Marshall Islands,3.0,t +30761,,,2.0,t +42098,,Maldives,1.0,t +30647,,El Salvador,3.0,t +6067,100%,Nicaragua,1.0,t +2043,,Libyan Arab Jamahiriya,5.0,t +21644,100%,Australia,1.0,f +49729,100%,,1.0,f +4636,90%,Peru,1.0,t +6149,100%,Zimbabwe,1.0,t +45077,,Croatia,1.0,f +16653,,Peru,1.0,f +48511,90%,Christmas Island,1.0,t +1825,100%,,2.0,f +50093,,Isle of Man,1.0,t +24947,,Switzerland,1.0,f +28921,,Marshall Islands,1.0,f +18123,100%,Russian Federation,3.0,f +44598,100%,Gambia,1.0,t +15997,,Sao Tome and Principe,1.0,t +6444,,,1.0,t +31904,,Niue,3.0,t +8572,,United Kingdom,1.0,t +5604,,Zimbabwe,1.0,f +35833,83%,Estonia,9.0,t +1093,,Gambia,1.0,t +20876,,,1.0,t +23171,100%,Russian Federation,3.0,t +14140,100%,Uzbekistan,1.0,t +8926,100%,El Salvador,1.0,f +13286,100%,French Guiana,1.0,t +15911,,Monaco,1.0,t +18399,100%,Kiribati,8.0,t +43548,100%,Russian Federation,1.0,t +6094,,Estonia,1.0,f +4868,100%,Jersey,2.0,t +48504,,Netherlands,5.0,f +5776,100%,,1.0,f +30861,,,1.0,t +40753,100%,,2.0,t +11175,,Kenya,1.0,f +26749,100%,Isle of Man,1.0,f +34191,,Lithuania,1.0,t +36589,,Gambia,1.0,f +34258,,Vietnam,7.0,t +27762,,Lithuania,1.0,f +5732,,Ghana,2.0,t +46346,,Niue,1.0,t +38476,100%,,1.0,t +9569,100%,Pakistan,1.0,f +40351,88%,Chile,2.0,t +5744,90%,Costa Rica,2.0,t +27956,100%,Nicaragua,1.0,t +44857,100%,Zimbabwe,24.0,t +25500,,Lebanon,3.0,t +6258,,Sao Tome and Principe,1.0,f +18140,,Bosnia and Herzegovina,2.0,f +9613,94%,United Kingdom,2.0,t +33603,100%,Ecuador,1.0,t +2858,100%,Turkmenistan,1.0,t +24523,100%,Puerto Rico,2.0,t +19185,,Micronesia,1.0,f +6791,,Russian Federation,2.0,f +17053,90%,Niue,2.0,t +40154,,Andorra,1.0,t +19129,,Malta,5.0,t +7271,100%,Bouvet Island (Bouvetoya),2.0,t +10704,100%,Lebanon,1.0,t +42803,,,2.0,f +19151,,Tanzania,2.0,f +33099,,Micronesia,1.0,t +33988,,,3.0,f +31761,,Micronesia,1.0,t +7814,,Kenya,1.0,f +8645,,Niue,1.0,t +23174,100%,,1.0,t +37760,100%,Niue,1.0,t +38081,,,3.0,t +16025,,Switzerland,1.0,f +2592,,Niger,1.0,f +12781,100%,Ukraine,1.0,t +6301,,Malta,1.0,t +31796,,,1.0,t +31080,,Denmark,1.0,t +44802,67%,Bouvet Island (Bouvetoya),1.0,f +27127,100%,Marshall Islands,9.0,t +23889,,Gambia,1.0,t +6565,,Togo,1.0,f +14542,,Guinea,1.0,t +35221,100%,Turks and Caicos Islands,30.0,t +7254,88%,Tonga,1.0,t +2711,,Niue,1.0,t +9700,,Maldives,1.0,t +34350,100%,Russian Federation,1.0,t +18705,100%,Nicaragua,2.0,f +50024,,Micronesia,1.0,f +10502,93%,Indonesia,9.0,f +2512,,Cape Verde,6.0,t +26134,,Brazil,1.0,t +47767,100%,Rwanda,1.0,t +3374,,Lebanon,1.0,f +37507,,Lithuania,1.0,f +39168,83%,Tonga,6.0,f +37861,100%,Somalia,1.0,f +13972,100%,Cuba,2.0,f +36691,,,3.0,f +16964,100%,Cape Verde,3.0,t +16825,100%,Russian Federation,2.0,t +26392,,Malta,4.0,f +33039,100%,,1.0,f +7220,100%,France,1.0,t +24085,100%,Gibraltar,1.0,t +9061,100%,Rwanda,2.0,t +4294,100%,,1.0,t +22328,100%,Peru,1.0,t +40628,0%,Sao Tome and Principe,2.0,t +18705,100%,Nicaragua,2.0,f +27213,99%,Jersey,7.0,t +27213,99%,Jersey,7.0,t +27213,99%,Jersey,7.0,t +1201,,Gibraltar,1.0,t +30010,100%,Afghanistan,1.0,f +30037,,Papua New Guinea,1.0,f +27542,100%,Montserrat,1.0,f +25959,,,2.0,t +34266,,Micronesia,1.0,t +39632,100%,Zimbabwe,1.0,t +1893,,Cuba,2.0,f +20252,90%,,1.0,t +1893,,Cuba,2.0,f +49735,,,1.0,t +16244,,Korea,1.0,t +13650,0%,,1.0,f +40505,,Malta,1.0,t +408,100%,,1.0,f +19276,,,1.0,t +20941,,Guinea,1.0,f +15614,,Guinea,1.0,t +9343,100%,Afghanistan,10.0,t +30569,100%,United Kingdom,5.0,t +12073,100%,Philippines,1.0,f +6423,,Malta,2.0,t +311,,Isle of Man,1.0,f +46659,,Zimbabwe,1.0,f +41727,,Papua New Guinea,1.0,f +16191,100%,,1.0,t +46427,81%,Sao Tome and Principe,4.0,t +23171,100%,Russian Federation,3.0,t +23171,100%,Russian Federation,3.0,t +4924,100%,Jersey,1.0,t +38597,100%,,2.0,t +10645,100%,,2.0,t +21377,100%,French Guiana,4.0,t +16963,,Vanuatu,3.0,f +26372,,Monaco,1.0,f +43974,100%,Kenya,1.0,t +22558,,,1.0,f +31040,100%,El Salvador,2.0,t +34322,,,1.0,f +3812,,Lebanon,1.0,f +13944,,French Guiana,1.0,t +26197,,,1.0,t +41018,,Isle of Man,1.0,f +1847,,Svalbard & Jan Mayen Islands,1.0,t +29190,88%,Malawi,1.0,t +38202,100%,Sao Tome and Principe,1.0,t +36172,100%,Niue,2.0,t +37832,100%,Niue,1.0,f +12107,100%,Fiji,2.0,t +16636,100%,Bosnia and Herzegovina,1.0,t +9485,100%,,2.0,t +30647,,El Salvador,3.0,t +19682,100%,Faroe Islands,15.0,t +24067,,Mexico,3.0,t +40369,100%,,1.0,t +42229,100%,Fiji,25.0,f +4903,,Anguilla,1.0,t +41366,80%,Nicaragua,2.0,f +18123,100%,Russian Federation,3.0,f +7909,,Lebanon,1.0,f +12616,,Chad,1.0,t +2138,100%,Marshall Islands,1.0,t +17872,100%,Maldives,2.0,t +48822,100%,Brazil,2.0,t +40231,,,1.0,f +29900,33%,Monaco,1.0,f +47056,100%,Malta,1.0,t +25340,100%,Canada,2.0,t +19020,,Zimbabwe,1.0,f +29221,100%,Andorra,1.0,t +28624,,Isle of Man,1.0,f +27577,100%,United Kingdom,1.0,t +20332,,Russian Federation,1.0,t +28852,100%,Gambia,1.0,t +31452,100%,Micronesia,1.0,t +24547,60%,,1.0,t +7102,100%,Vanuatu,4.0,t +47337,,Papua New Guinea,1.0,t +16385,100%,,1.0,t +39234,,Venezuela,3.0,t +29341,100%,Zimbabwe,2.0,t +39761,100%,Ecuador,2.0,t +844,100%,Malta,1.0,f +37310,90%,Turks and Caicos Islands,3.0,t +22007,100%,,2.0,f +26016,100%,,1.0,t +18067,43%,Venezuela,1.0,f +13328,,Bosnia and Herzegovina,3.0,t +43431,,French Guiana,1.0,f +38614,100%,El Salvador,1.0,t +29294,,Tanzania,1.0,f +39796,,Cuba,1.0,t +23392,,,1.0,t +20906,100%,Kenya,1.0,f +7926,50%,Philippines,1.0,f +2512,,Cape Verde,6.0,t +44442,100%,Russian Federation,2.0,t +44442,100%,Russian Federation,2.0,t +38474,,,3.0,t +2329,100%,Barbados,1.0,t +47826,,Bosnia and Herzegovina,1.0,t +21419,,Jersey,2.0,f +42657,,,1.0,t +30498,,,3.0,f +13351,,,2.0,t +13351,,,2.0,t +895,100%,,1.0,t +17426,100%,Sao Tome and Principe,1.0,f +36347,,,2.0,t +28209,,Anguilla,1.0,f +22213,,Niue,1.0,f +15882,,Maldives,1.0,t +27568,100%,Pakistan,1.0,t +40630,,,1.0,t +48471,,,1.0,t +49613,100%,Zimbabwe,1.0,t +30498,,,3.0,f +19389,100%,El Salvador,1.0,t +31079,,Chile,1.0,t +42042,100%,Morocco,4.0,f +38113,100%,Marshall Islands,2.0,t +22833,100%,Micronesia,2.0,f +8186,,Switzerland,2.0,f +21811,,Uzbekistan,1.0,t +8186,,Switzerland,2.0,f +41301,100%,Costa Rica,9.0,t +4956,90%,Chile,1.0,f +37863,,Zimbabwe,4.0,t +25554,100%,Somalia,2.0,t +45621,100%,Cape Verde,4.0,t +40918,,,1.0,t +27962,,Nauru,2.0,t +36419,,Russian Federation,2.0,f +1883,90%,Reunion,2.0,t +5512,100%,Monaco,1.0,t +30397,33%,,1.0,t +43759,,,1.0,f +29826,,Monaco,1.0,t +12035,100%,Uzbekistan,1.0,t +8962,80%,Rwanda,1.0,f +2645,,Guinea,1.0,t +278,80%,,1.0,t +22071,,Papua New Guinea,4.0,t +22071,,Papua New Guinea,4.0,t +17195,,Niue,1.0,t +25399,,,1.0,t +2051,70%,Fiji,4.0,f +31631,,Tonga,1.0,t +2051,70%,Fiji,4.0,f +9665,100%,Netherlands,2.0,t +2051,70%,Fiji,4.0,f +46691,90%,Uzbekistan,38.0,f +8483,100%,Peru,2.0,f +16744,60%,Rwanda,5.0,f +989,100%,Tonga,2.0,t +30789,,,3.0,t +2132,60%,Jersey,2.0,f +36041,,,1.0,f +11751,100%,Niger,1.0,f +22784,100%,Rwanda,5.0,f +28107,,Uzbekistan,1.0,f +11160,100%,Gibraltar,1.0,f +21985,60%,,2.0,t +16897,,Mauritania,2.0,f +32044,70%,,3.0,f +41336,,Mauritania,1.0,t +36966,,,1.0,f +16569,25%,Uganda,1.0,t +6412,100%,Micronesia,1.0,t +38494,100%,Palestinian Territory,1.0,f +5116,100%,Mauritania,1.0,t +16621,0%,Malta,1.0,t +8193,50%,,1.0,f +42153,,El Salvador,1.0,t +42844,100%,,1.0,f +27835,100%,Isle of Man,2.0,f +46512,,Indonesia,4.0,t +46032,100%,,1.0,t +36321,90%,Tanzania,1.0,t +2094,,Sao Tome and Principe,1.0,t +46134,100%,,1.0,t +22851,,,1.0,f +32556,90%,Estonia,11.0,t +17737,,Niger,1.0,t +38949,100%,,2.0,t +22752,,Monaco,1.0,t +35053,,Russian Federation,1.0,t +37635,,,1.0,f +45860,100%,Niue,1.0,t +36554,,Guernsey,1.0,t +31351,91%,Barbados,1.0,t +23066,,Christmas Island,1.0,t +17741,,Turks and Caicos Islands,1.0,t +29366,100%,Tanzania,1.0,t +9900,,Croatia,1.0,f +22007,100%,,2.0,f +26530,67%,,1.0,t +29445,100%,Faroe Islands,4.0,t +40545,100%,Malawi,1.0,t +41380,100%,Turkmenistan,2.0,t +45255,100%,Lebanon,5.0,t +35610,62%,Fiji,8.0,f +21037,100%,Brazil,1.0,t +32556,90%,Estonia,11.0,t +33951,100%,Philippines,1.0,t +26392,,Malta,4.0,f +29185,,Guinea,2.0,t +43979,100%,Isle of Man,3.0,t +1944,100%,Vanuatu,1.0,f +18790,100%,Indonesia,4.0,f +41240,90%,Venezuela,1.0,t +44748,100%,Guernsey,1.0,t +44570,100%,,5.0,t +12533,,,1.0,f +31891,100%,,1.0,t +40173,100%,Faroe Islands,1.0,t +49073,,Zimbabwe,1.0,t +13972,100%,Cuba,2.0,f +32254,,Marshall Islands,1.0,f +47621,,Chad,1.0,t +20211,,Holy See (Vatican City State),1.0,t +33932,,Papua New Guinea,1.0,f +45146,,Mauritania,2.0,t +19984,100%,Ecuador,14.0,t +46237,100%,,2.0,t +19984,100%,Ecuador,14.0,t +23851,,Russian Federation,1.0,t +44848,,Niue,1.0,f +5785,100%,Isle of Man,2.0,t +12715,100%,Estonia,29.0,f +15563,,Chad,1.0,t +20325,100%,,1.0,f +29917,,,1.0,t +14013,100%,Indonesia,2.0,t +35644,,,1.0,t +45546,100%,Cape Verde,19.0,t +35518,,French Guiana,1.0,f +21363,100%,Guinea,2.0,t +9196,100%,Jersey,1.0,f +42154,100%,Isle of Man,2.0,t +46455,92%,Uzbekistan,4.0,t +47088,0%,Ecuador,1.0,t +44057,,Jersey,1.0,t +38765,,Micronesia,1.0,f +26581,100%,Estonia,2.0,t +26581,100%,Estonia,2.0,t +8233,100%,Netherlands Antilles,1.0,f +48812,86%,Russian Federation,1.0,t +21985,60%,,2.0,t +21099,100%,,1.0,t +34142,50%,Zimbabwe,1.0,f +37130,100%,Russian Federation,1.0,f +15431,,Chad,1.0,t +45638,,Lebanon,1.0,t +17147,,Saint Helena,1.0,t +23458,,,1.0,f +28345,,United Kingdom,1.0,t +40653,,Christmas Island,1.0,t +23275,,Micronesia,5.0,t +7399,,,1.0,t +8876,,,1.0,f +31708,75%,Russian Federation,1.0,t +25546,,,1.0,f +31902,98%,Kiribati,5.0,t +24712,100%,Malawi,1.0,t +26529,100%,Ghana,1.0,t +4414,100%,Cocos (Keeling) Islands,1.0,t +44493,100%,,1.0,f +31902,98%,Kiribati,5.0,t +27811,100%,Ukraine,4.0,t +2747,,Niue,1.0,t +21449,,Monaco,1.0,t +46691,90%,Uzbekistan,38.0,f +48013,100%,,1.0,t +33799,,Zimbabwe,2.0,f +11040,100%,Andorra,7.0,f +18779,100%,Mexico,4.0,t +33153,100%,Niue,1.0,t +7677,,Ecuador,3.0,t +24792,100%,Malta,2.0,f +24792,100%,Malta,2.0,f +34912,,Uzbekistan,2.0,t +20566,100%,Sao Tome and Principe,2.0,f +38162,100%,Niger,8.0,f +2537,,,1.0,f +21370,100%,Gambia,1.0,t +10498,,Kenya,1.0,f +21870,,Malawi,1.0,t +16640,100%,Gambia,1.0,t +19166,100%,Brazil,2.0,t +43429,,Turks and Caicos Islands,2.0,f +7340,,Malawi,1.0,t +24675,,Ecuador,1.0,t +30457,,,1.0,t +26318,,Congo,1.0,t +40295,,,1.0,t +25219,100%,American Samoa,5.0,t +6061,0%,Tonga,2.0,t +24650,75%,Tonga,3.0,t +18823,100%,French Guiana,1.0,f +19630,50%,Niue,2.0,t +11526,100%,Russian Federation,1.0,t +6629,,,2.0,t +39719,,Somalia,1.0,t +11826,100%,Cocos (Keeling) Islands,2.0,t +2000,100%,Monaco,1.0,t +3574,100%,Mexico,1.0,f +6583,,Pakistan,1.0,t +27732,100%,Puerto Rico,3.0,t +16834,,,1.0,f +4844,,Puerto Rico,1.0,f +7237,100%,Guinea,1.0,t +11332,100%,Croatia,2.0,t +10165,,,1.0,t +3659,,Cape Verde,1.0,t +12234,,Cocos (Keeling) Islands,1.0,f +1691,,Lebanon,2.0,t +14089,100%,Guinea,1.0,f +18906,,Malawi,1.0,f +40539,,Lebanon,1.0,t +26798,100%,Rwanda,1.0,t +13777,,Guinea,1.0,f +49014,100%,Tonga,1.0,t +44962,,United Kingdom,1.0,f +22615,,,1.0,t +10511,,,1.0,t +19812,100%,Uzbekistan,2.0,t +37863,,Zimbabwe,4.0,t +20899,75%,,1.0,t +13763,,Lebanon,1.0,t +33144,,Djibouti,3.0,t +11096,,Canada,1.0,t +48408,60%,Lebanon,1.0,f +39661,100%,United Kingdom,2.0,t +15290,,,1.0,t +2799,,Congo,2.0,t +31894,100%,Pakistan,1.0,f +31778,,,1.0,t +3954,,,1.0,t +39741,,,1.0,f +16024,,Uzbekistan,1.0,f +47446,,French Guiana,1.0,t +32256,100%,,1.0,t +39864,,Vanuatu,1.0,t +30856,,,1.0,t +310,96%,Cape Verde,3.0,t +7256,,Russian Federation,2.0,f +8483,100%,Peru,2.0,f +8484,100%,Monaco,17.0,t +36206,86%,Russian Federation,10.0,f +35576,0%,Uzbekistan,1.0,t +27600,100%,El Salvador,1.0,f +42379,100%,Cocos (Keeling) Islands,5.0,f +29487,89%,Montserrat,3.0,t +35778,,Monaco,1.0,f +37066,100%,Micronesia,1.0,t +9485,100%,,2.0,t +37441,100%,Vietnam,12.0,t +35833,83%,Estonia,9.0,t +48158,100%,Canada,1.0,t +37441,100%,Vietnam,12.0,t +42553,,French Guiana,1.0,t +40331,100%,Tonga,1.0,t +23165,,Guinea,1.0,f +46512,,Indonesia,4.0,t +8180,,Turkmenistan,1.0,f +22243,100%,Malta,2.0,f +42351,100%,Philippines,1.0,t +22016,100%,Zimbabwe,2.0,t +31988,75%,Brunei Darussalam,1.0,t +35115,,,1.0,f +27714,,,1.0,t +16711,,French Guiana,1.0,f +27831,100%,,6.0,t +19496,,China,1.0,t +48753,100%,Isle of Man,1.0,f +36558,100%,Uganda,1.0,t +14204,100%,Jersey,1.0,f +14670,100%,Rwanda,1.0,t +96,100%,Mexico,2.0,t +14975,100%,Anguilla,1.0,f +7028,100%,Fiji,4.0,t +27607,,Ecuador,1.0,t +3077,100%,Chile,3.0,t +5774,,Russian Federation,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +310,96%,Cape Verde,3.0,t +3910,100%,Niue,1.0,t +37717,,Russian Federation,1.0,t +18737,,,1.0,f +42057,,Rwanda,1.0,f +40404,,Marshall Islands,1.0,t +45569,,,1.0,t +1858,81%,Niue,3.0,t +28128,67%,Guinea,1.0,f +24432,100%,Andorra,2.0,t +15975,,Tonga,1.0,t +24432,100%,Andorra,2.0,t +23887,,,1.0,t +48798,,Chile,1.0,t +21652,67%,,1.0,t +40442,,Monaco,1.0,f +37437,,Lebanon,1.0,t +7457,100%,,3.0,t +24,,French Guiana,1.0,t +46233,,Bosnia and Herzegovina,2.0,f +46233,,Bosnia and Herzegovina,2.0,f +16050,,Nicaragua,1.0,t +39725,,Nauru,2.0,f +2799,,Congo,2.0,t +40124,,United Kingdom,1.0,f +49195,,Guinea,1.0,f +34621,,Svalbard & Jan Mayen Islands,1.0,t +3972,100%,Peru,1.0,t +35708,0%,,1.0,t +28879,,Reunion,1.0,t +28604,100%,French Polynesia,1.0,t +42041,100%,,1.0,t +28525,,Afghanistan,1.0,t +29633,90%,,1.0,f +30068,100%,Guinea,1.0,f +43500,,,1.0,t +11536,100%,Somalia,1.0,t +18500,100%,Lithuania,1.0,f +29576,100%,,5.0,t +25139,,Monaco,2.0,t +160,90%,Andorra,2.0,t +44857,100%,Zimbabwe,24.0,t +37589,,,1.0,t +18215,,Anguilla,1.0,f +27008,100%,Gambia,2.0,t +9406,0%,Rwanda,1.0,f +44177,,Somalia,1.0,f +217,88%,,3.0,t +28485,,Turks and Caicos Islands,1.0,f +34622,,,1.0,t +33558,100%,Sao Tome and Principe,1.0,t +9582,,Russian Federation,1.0,t +8965,,Canada,1.0,f +21227,100%,Uzbekistan,2.0,f +46967,100%,Philippines,1.0,t +42390,100%,Wallis and Futuna,96.0,t +22279,90%,Finland,3.0,t +33826,,Afghanistan,1.0,t +17231,0%,Mauritania,1.0,t +713,,Lebanon,2.0,f +24934,100%,,1.0,f +25198,,Christmas Island,4.0,t +27961,100%,Switzerland,2.0,f +25198,,Christmas Island,4.0,t +13475,100%,Ecuador,1.0,t +38294,,Lebanon,1.0,f +13319,,Tunisia,2.0,t +9115,0%,Bouvet Island (Bouvetoya),2.0,f +3458,,,1.0,t +20470,100%,,2.0,t +11571,,Guinea,1.0,t +30329,,Russian Federation,1.0,f +38469,100%,Cocos (Keeling) Islands,3.0,t +40385,100%,Turks and Caicos Islands,1.0,t +25875,,,1.0,t +110,100%,Niue,1.0,t +45901,100%,Nicaragua,2.0,t +4868,100%,Jersey,2.0,t +17292,,Niue,1.0,t +3464,,Russian Federation,1.0,f +34760,100%,Andorra,1.0,f +9199,,Jersey,1.0,t +3063,100%,Lebanon,1.0,t +12164,100%,Nicaragua,8.0,f +11255,93%,Suriname,41.0,f +17853,100%,Kenya,1.0,t +230,,Isle of Man,1.0,t +30593,,,1.0,t +7981,100%,Sao Tome and Principe,4.0,t +16269,90%,Nicaragua,1.0,t +9334,,Bouvet Island (Bouvetoya),2.0,t +3693,,Vanuatu,1.0,f +48504,,Netherlands,5.0,f +5285,,Uganda,1.0,f +49609,100%,Niue,3.0,t +26007,100%,Malawi,3.0,t +41800,80%,Monaco,1.0,t +45903,100%,Malta,2.0,t +3755,100%,Niue,1.0,f +9418,,Chad,2.0,t +29145,83%,Gambia,1.0,t +30731,100%,,5.0,t +44819,100%,Niue,1.0,t +676,100%,Malta,1.0,t +351,,,1.0,f +47370,,Marshall Islands,3.0,t +45338,,Monaco,1.0,t +20066,100%,Guinea,1.0,t +15185,100%,Uzbekistan,1.0,f +20155,100%,,2.0,t +34945,100%,,1.0,f +1325,50%,Guernsey,2.0,t +18797,,Kiribati,1.0,t +48620,,Russian Federation,1.0,t +41197,,Sao Tome and Principe,1.0,f +12800,100%,Malawi,2.0,f +25219,100%,American Samoa,5.0,t +12146,,Bosnia and Herzegovina,1.0,t +45616,90%,Niue,1.0,t +6289,100%,Russian Federation,4.0,t +24687,,Brazil,1.0,f +22102,,,1.0,t +23613,,Lebanon,2.0,t +48744,,,1.0,f +1128,,,1.0,f +33245,100%,Somalia,1.0,t +6597,100%,,1.0,f +4029,,,1.0,t +41931,75%,,1.0,t +8434,100%,Cuba,7.0,f +1664,100%,,1.0,f +4891,,Anguilla,1.0,f +14818,,Uzbekistan,1.0,t +10432,,Cocos (Keeling) Islands,1.0,f +30622,,Turkmenistan,1.0,t +5823,100%,Tanzania,1.0,t +16512,100%,,2.0,t +21667,100%,Guinea,1.0,f +1858,81%,Niue,3.0,t +49934,100%,Liberia,9.0,t +36687,100%,Cape Verde,1.0,t +38435,,United Kingdom,1.0,t +19588,,Isle of Man,1.0,t +4104,,Ecuador,1.0,t +1499,100%,Tonga,2.0,t +26588,100%,Maldives,1.0,f +42229,100%,Fiji,25.0,f +10964,100%,Tonga,5.0,t +28633,60%,Russian Federation,1.0,t +13784,100%,Lebanon,1.0,f +1467,100%,Micronesia,3.0,t +24630,,Mauritania,1.0,t +44857,100%,Zimbabwe,24.0,t +27870,,China,1.0,t +34026,50%,Tonga,1.0,f +10712,,,1.0,f +24857,100%,Somalia,2.0,t +22984,,,1.0,f +34478,,Congo,1.0,f +10435,,,1.0,f +14151,,Croatia,1.0,f +45355,,,2.0,t +49609,100%,Niue,3.0,t +32044,70%,,3.0,f +31569,,Guinea,2.0,t +49547,100%,Uzbekistan,1.0,f +34691,,Reunion,1.0,t +44142,100%,United Kingdom,1.0,t +3283,,,1.0,t +33219,100%,Uzbekistan,7.0,f +10547,,Micronesia,1.0,t +22321,100%,United Kingdom,16.0,f +47771,100%,,1.0,f +42584,100%,Maldives,2.0,t +23491,90%,Niue,3.0,f +13239,,Uganda,1.0,t +14654,100%,Lebanon,1.0,t +45255,100%,Lebanon,5.0,t +35306,,Chad,1.0,t +41821,,Estonia,1.0,f +32220,100%,Holy See (Vatican City State),2.0,f +8226,80%,Puerto Rico,5.0,f +15195,100%,Svalbard & Jan Mayen Islands,3.0,t +41890,100%,Canada,1.0,f +46595,,Maldives,1.0,f +12310,,,1.0,f +22110,100%,,1.0,t +10995,,Kiribati,2.0,f +1909,100%,Marshall Islands,1.0,t +30166,,Mauritania,1.0,t +165,,,1.0,f +12968,,Lithuania,1.0,f +35129,100%,Brazil,1.0,t +27563,90%,,1.0,t +35855,,Sao Tome and Principe,3.0,f +32146,,Kenya,1.0,f +41406,,Denmark,1.0,t +16005,100%,,1.0,f +36254,,Uzbekistan,1.0,t +18682,100%,,1.0,t +11031,,Isle of Man,1.0,t +29076,,Russian Federation,1.0,f +46718,100%,,1.0,t +2461,,,1.0,t +29335,,Monaco,1.0,t +9240,,Russian Federation,1.0,f +46544,,Uzbekistan,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +49348,60%,French Guiana,2.0,f +12439,,Monaco,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +11489,100%,China,1.0,f +7981,100%,Sao Tome and Principe,4.0,t +44857,100%,Zimbabwe,24.0,t +43928,,,1.0,f +11299,,French Guiana,1.0,t +41331,,Marshall Islands,1.0,t +11558,,France,2.0,t +7981,100%,Sao Tome and Principe,4.0,t +16735,,Wallis and Futuna,1.0,f +44728,,,3.0,f +19091,95%,Cook Islands,18.0,t +40399,100%,,3.0,t +41156,,,1.0,t +22614,63%,Zimbabwe,1.0,t +23934,,Jersey,1.0,t +34339,,Maldives,1.0,f +44951,,Micronesia,2.0,t +12347,,Bouvet Island (Bouvetoya),1.0,f +11894,,Reunion,1.0,t +2933,,Kenya,2.0,f +9090,,,1.0,f +28074,70%,,3.0,t +35402,100%,Croatia,2.0,t +305,,Rwanda,2.0,t +30894,,,1.0,f +26439,,Jersey,1.0,t +7255,100%,Bouvet Island (Bouvetoya),8.0,t +7840,100%,Kenya,1.0,t +25329,,Kiribati,2.0,t +28428,100%,Kiribati,1.0,f +37441,100%,Vietnam,12.0,t +37441,100%,Vietnam,12.0,t +8227,,Marshall Islands,2.0,t +46040,,Kenya,1.0,f +22368,100%,Montserrat,1.0,f +982,99%,Marshall Islands,32.0,f +9477,,Monaco,1.0,t +25151,100%,Marshall Islands,1.0,t +43979,100%,Isle of Man,3.0,t +36657,100%,Chad,1.0,t +8527,100%,Ghana,1.0,f +16939,,Senegal,11.0,t +23144,,Zimbabwe,1.0,f +22040,,,1.0,f +16077,90%,Gibraltar,2.0,t +22287,100%,,1.0,t +37392,100%,Micronesia,7.0,t +42045,10%,Niue,4.0,f +9430,,Sao Tome and Principe,1.0,t +22726,100%,,1.0,t +6479,100%,Niue,1.0,t +6554,,Jersey,1.0,t +40857,,,1.0,f +24027,,Monaco,1.0,f +19635,,El Salvador,3.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +9429,100%,,4.0,f +36003,100%,,1.0,f +4645,,Finland,1.0,f +10244,100%,Philippines,10.0,f +34841,100%,Zimbabwe,22.0,t +8653,,Tonga,1.0,t +49606,,,1.0,f +36057,,Tanzania,1.0,t +11732,,Tanzania,1.0,t +47055,100%,Togo,3.0,t +43383,100%,Cape Verde,3.0,t +30168,,Gambia,2.0,f +15424,,Svalbard & Jan Mayen Islands,1.0,t +46487,90%,Sao Tome and Principe,1.0,t +8491,100%,Sao Tome and Principe,1.0,t +34342,100%,Puerto Rico,1.0,t +20944,100%,United Kingdom,3.0,f +3077,100%,Chile,3.0,t +2310,,Croatia,1.0,t +9945,100%,Maldives,2.0,t +39437,100%,Sao Tome and Principe,2.0,t +18954,,Nicaragua,2.0,f +18954,,Nicaragua,2.0,f +37506,,Uzbekistan,1.0,f +690,100%,Kiribati,2.0,f +47250,,,1.0,t +33738,,Congo,5.0,t +25380,100%,Russian Federation,2.0,f +27278,,Brazil,2.0,t +10633,67%,Maldives,1.0,t +40394,100%,Senegal,1.0,t +3179,100%,Ukraine,1.0,t +37441,100%,Vietnam,12.0,t +27747,,Malta,1.0,f +26099,99%,Reunion,15.0,f +48959,,Niger,1.0,f +35816,,Zimbabwe,1.0,f +370,,,1.0,t +27855,100%,Russian Federation,2.0,t +21130,,Guinea,2.0,t +12529,90%,Niue,1.0,t +25277,,Niger,2.0,t +39521,,,1.0,t +44134,,Uzbekistan,1.0,t +31552,86%,,1.0,t +7325,,French Guiana,1.0,t +23682,57%,Uganda,4.0,f +26932,100%,Zimbabwe,1.0,t +30309,60%,Cape Verde,2.0,t +33797,100%,Gambia,3.0,t +2109,,Russian Federation,1.0,t +25095,100%,Senegal,4.0,f +4307,,Tonga,1.0,t +3061,,Libyan Arab Jamahiriya,2.0,t +37938,100%,Uzbekistan,1.0,t +22017,50%,Barbados,2.0,f +43543,100%,Malta,1.0,t +18111,100%,,1.0,f +45763,50%,Kenya,1.0,t +11012,100%,Puerto Rico,3.0,f +7501,,,1.0,t +18211,100%,,2.0,t +11200,,Niger,1.0,f +45589,,Guernsey,1.0,t +875,100%,Senegal,1.0,t +22936,,Sao Tome and Principe,1.0,t +42900,100%,,2.0,t +35609,,Bosnia and Herzegovina,1.0,f +21381,,Papua New Guinea,1.0,t +15086,75%,Kenya,2.0,f +35499,94%,Andorra,4.0,f +19351,100%,Guinea,2.0,f +30340,,Nicaragua,1.0,f +18994,,Isle of Man,1.0,f +30436,,,1.0,t +8909,100%,Tunisia,1.0,t +35207,,Anguilla,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +3062,100%,,1.0,f +36760,,Isle of Man,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +14683,100%,Antarctica (the territory South of 60 deg S),4.0,t +43255,100%,,1.0,f +37968,,Croatia,1.0,t +5650,83%,Malawi,2.0,t +45524,,,1.0,f +45981,92%,Maldives,11.0,t +28437,,Micronesia,1.0,t +18672,,Isle of Man,1.0,f +28039,,,1.0,t +17932,100%,Costa Rica,8.0,t +15815,,Lebanon,1.0,f +3115,83%,Slovakia (Slovak Republic),17.0,t +2217,,,9.0,f +3115,83%,Slovakia (Slovak Republic),17.0,t +1390,100%,Puerto Rico,1.0,f +31099,100%,Uzbekistan,1.0,t +15999,,Kenya,2.0,f +13269,100%,Anguilla,3.0,f +12023,,French Guiana,2.0,f +27745,100%,Lithuania,1.0,t +6962,,Isle of Man,1.0,f +10589,100%,Turkmenistan,1.0,t +36644,100%,Ecuador,4.0,t +17323,100%,Russian Federation,2.0,t +22430,100%,Mauritania,2.0,t +28074,70%,,3.0,t +4181,,Uzbekistan,1.0,f +33723,,Isle of Man,1.0,f +43779,,Tonga,1.0,f +3762,,Micronesia,1.0,t +14063,100%,Denmark,10.0,t +34674,100%,Guinea,1.0,f +30903,,Uzbekistan,1.0,t +23230,80%,United Kingdom,1.0,t +6511,,Uzbekistan,1.0,f +23553,,Uzbekistan,1.0,f +22626,,,1.0,f +31953,,Russian Federation,1.0,t +13657,100%,,2.0,t +25277,,Niger,2.0,t +24078,,Russian Federation,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +45963,,Mauritania,3.0,t +16284,,Lebanon,1.0,t +13418,,Zimbabwe,1.0,f +2144,,,1.0,f +33522,,Tanzania,1.0,t +33234,,,2.0,t +23702,,Chad,1.0,t +9216,100%,Uzbekistan,1.0,t +18271,,Ghana,1.0,f +12684,,,1.0,f +2480,100%,,1.0,f +33627,89%,Gambia,3.0,t +4366,100%,Vanuatu,1.0,f +29082,100%,Ecuador,2.0,t +3200,75%,Turkmenistan,2.0,t +19055,,,1.0,t +5316,,Lebanon,1.0,f +8434,100%,Cuba,7.0,f +45336,100%,Russian Federation,1.0,f +6751,,Nicaragua,1.0,t +28913,,Jersey,1.0,t +43917,,,1.0,t +10823,,Isle of Man,2.0,t +36077,67%,,1.0,t +4639,100%,Monaco,3.0,t +35291,100%,Palestinian Territory,1.0,t +16547,,,1.0,f +5048,100%,Niue,2.0,t +3247,100%,Jersey,1.0,f +33359,,Fiji,1.0,t +1428,,Uzbekistan,1.0,t +33757,,,1.0,f +12652,,Marshall Islands,2.0,f +15895,100%,French Guiana,1.0,t +30350,100%,Tonga,1.0,t +22681,,,1.0,t +21851,100%,Russian Federation,2.0,t +7331,99%,Indonesia,8.0,t +16941,100%,Russian Federation,3.0,f +20414,100%,Togo,1.0,t +31844,100%,Niue,2.0,t +35496,100%,Christmas Island,1.0,t +34141,86%,Ecuador,1.0,t +27356,,,1.0,f +24147,100%,Kenya,2.0,f +15241,,Brazil,3.0,f +29610,,Estonia,1.0,f +18054,100%,,1.0,t +46205,100%,,1.0,t +42123,,Mexico,1.0,t +12251,,Tanzania,1.0,f +20570,,,1.0,f +5369,100%,,1.0,f +18779,100%,Mexico,4.0,t +41080,89%,Tonga,10.0,t +2749,100%,Guinea,1.0,t +38764,,Turks and Caicos Islands,1.0,t +11385,,Kiribati,1.0,t +41368,,Micronesia,1.0,t +25741,,Chad,1.0,t +3202,90%,Moldova,2.0,t +38810,100%,Micronesia,3.0,f +8417,,,1.0,t +25015,,Uzbekistan,1.0,t +18008,,,1.0,t +16124,,Tonga,1.0,t +12137,99%,Sao Tome and Principe,33.0,t +10823,,Isle of Man,2.0,t +28636,80%,United Kingdom,2.0,t +1580,,Uganda,1.0,t +48704,,Malta,1.0,f +27206,,Isle of Man,1.0,t +10838,78%,Ecuador,2.0,t +4067,,Chile,1.0,t +34418,100%,,2.0,t +30731,100%,,5.0,t +47211,,Marshall Islands,1.0,f +48455,89%,Uzbekistan,20.0,t +26714,50%,,1.0,t +38102,,Zimbabwe,1.0,t +3604,63%,Tunisia,1.0,f +29929,75%,Montserrat,3.0,t +23113,,Brazil,1.0,t +35545,100%,Isle of Man,2.0,f +22293,90%,Mauritania,2.0,t +39725,,Nauru,2.0,f +34633,,Micronesia,1.0,f +11467,,Lebanon,1.0,f +40374,100%,Ecuador,1.0,t +9652,,Nauru,1.0,f +33083,,,1.0,t +22991,100%,Korea,4.0,t +33234,,,2.0,t +22522,100%,France,3.0,t +45578,100%,Niue,1.0,t +25317,100%,,3.0,t +6456,,Russian Federation,1.0,t +10273,,Tonga,1.0,f +15144,,Croatia,2.0,t +12600,,Mauritania,1.0,f +31261,,Russian Federation,1.0,t +19571,,,1.0,f +46508,,,1.0,f +22644,,Mexico,1.0,f +49889,,Marshall Islands,1.0,t +11735,,,1.0,t +41763,,United Kingdom,2.0,t +7322,,Lebanon,1.0,f +25869,,Gambia,1.0,f +6062,100%,Tonga,2.0,t +38756,50%,Sao Tome and Principe,1.0,t +25095,100%,Senegal,4.0,f +31318,,Tonga,1.0,t +22839,,Nauru,1.0,f +26403,,Mauritania,1.0,f +14171,100%,Russian Federation,3.0,f +29606,,,1.0,t +16339,,Rwanda,1.0,t +27403,,,1.0,t +15791,100%,,1.0,f +15137,100%,Marshall Islands,10.0,t +9082,,Guinea,1.0,t +4938,100%,,1.0,t +40043,,,1.0,t +25226,100%,,1.0,t +41040,,,1.0,f +16495,100%,,2.0,t +46995,100%,Turks and Caicos Islands,1.0,f +34079,,Chile,1.0,t +982,99%,Marshall Islands,32.0,f +432,100%,Lithuania,2.0,t +6620,50%,Niue,3.0,t +43279,100%,,1.0,f +12788,100%,Indonesia,1.0,t +47536,,,1.0,f +32716,,Micronesia,1.0,t +6158,,France,3.0,t +30907,,Zimbabwe,2.0,f +45901,100%,Nicaragua,2.0,t +44857,100%,Zimbabwe,24.0,t +22491,,Croatia,1.0,t +46356,,Lebanon,1.0,t +29600,100%,Guinea,2.0,t +15871,100%,,1.0,t +22960,67%,Jordan,1.0,t +37147,100%,Somalia,1.0,f +43121,,,1.0,t +4267,100%,Senegal,22.0,t +12041,100%,,1.0,t +6927,,,1.0,t +46352,,,1.0,t +15224,100%,Guinea,2.0,t +39098,,Monaco,1.0,t +4093,100%,,1.0,t +23010,,Gibraltar,1.0,f +37984,,Uzbekistan,2.0,f +8163,,Kenya,3.0,f +8163,,Kenya,3.0,f +258,100%,Zimbabwe,1.0,t +30170,,Chile,1.0,t +26316,100%,Denmark,1.0,t +9955,100%,Isle of Man,2.0,t +34388,,French Guiana,1.0,f +14857,,Jersey,1.0,f +3189,100%,Marshall Islands,2.0,t +27787,,,1.0,t +25578,,Isle of Man,1.0,t +45255,100%,Lebanon,5.0,t +36878,,,1.0,f +31902,98%,Kiribati,5.0,t +32200,,Svalbard & Jan Mayen Islands,1.0,f +13230,100%,Burkina Faso,2.0,f +15256,,Chad,2.0,t +49403,100%,,1.0,f +24134,,French Guiana,1.0,t +22071,,Papua New Guinea,4.0,t +22071,,Papua New Guinea,4.0,t +31374,100%,,1.0,f +3652,100%,Guinea,2.0,t +24703,,Tanzania,1.0,t +22143,100%,Venezuela,3.0,t +2561,,Russian Federation,1.0,f +43464,100%,United Kingdom,2.0,f +30872,,Indonesia,1.0,t +24439,,Guinea,1.0,f +9858,,,1.0,f +19465,100%,Chad,2.0,t +14768,100%,Chad,2.0,f +34420,,Nauru,1.0,t +11243,,,1.0,f +9532,,Micronesia,1.0,t +12652,,Marshall Islands,2.0,f +22279,90%,Finland,3.0,t +44760,,,1.0,f +31354,100%,Niger,8.0,t +33801,,,1.0,f +7349,70%,Djibouti,4.0,f +7349,70%,Djibouti,4.0,f +20838,100%,Venezuela,2.0,t +37626,,Micronesia,3.0,f +37626,,Micronesia,3.0,f +40093,,Zimbabwe,2.0,t +39992,,Nicaragua,1.0,t +218,,,1.0,f +34231,100%,Fiji,2.0,f +44884,,Russian Federation,3.0,t +24309,,Niue,1.0,t +768,,Bahrain,1.0,t +8526,,Chad,1.0,t +38156,,Tanzania,1.0,f +38325,,,1.0,t +49786,,Tonga,1.0,f +34370,,Kenya,1.0,f +18036,100%,Marshall Islands,2.0,f +6376,,,1.0,f +13805,,Ecuador,2.0,t +24356,,Monaco,2.0,f +18991,,,1.0,t +7963,,Lebanon,1.0,t +27470,,Niue,1.0,t +17491,,,1.0,f +14001,,,1.0,t +36342,80%,Suriname,1.0,f +39544,,Russian Federation,1.0,t +34861,,Niue,1.0,t +15842,,Isle of Man,1.0,f +4640,,,1.0,t +12047,,Uzbekistan,1.0,t +11255,93%,Suriname,41.0,f +30773,,Bahrain,1.0,t +28878,,Russian Federation,1.0,f +29180,,,1.0,t +49692,,,1.0,t +46499,,Philippines,2.0,f +15988,,Lebanon,1.0,t +19888,,,1.0,f +31090,75%,,1.0,t +26578,45%,Ecuador,10.0,f +18711,,Tonga,1.0,f +4016,100%,Venezuela,2.0,f +21093,90%,Papua New Guinea,1.0,t +20009,,Malawi,1.0,t +31870,100%,,1.0,t +36673,100%,Fiji,1.0,t +7694,,,1.0,t +19155,93%,,2.0,t +29978,89%,Uzbekistan,26.0,f +3489,0%,,1.0,f +42468,,,1.0,f +8534,,Russian Federation,1.0,f +37821,,United Kingdom,1.0,t +29569,,Gambia,2.0,f +31660,,Uzbekistan,1.0,f +28118,75%,United Kingdom,4.0,t +28118,75%,United Kingdom,4.0,t +28118,75%,United Kingdom,4.0,t +28118,75%,United Kingdom,4.0,t +47512,,,2.0,f +37951,100%,,1.0,t +28161,100%,,3.0,f +43447,,Ghana,5.0,t +24356,,Monaco,2.0,f +33225,,Brazil,1.0,t +22335,100%,Russian Federation,3.0,t +2501,80%,,2.0,f +23971,100%,Croatia,1.0,t +22613,91%,Cape Verde,4.0,f +22613,91%,Cape Verde,4.0,f +22613,91%,Cape Verde,4.0,f +22613,91%,Cape Verde,4.0,f +6937,,,1.0,f +5447,,Sao Tome and Principe,1.0,f +6142,100%,,1.0,t +20222,100%,Micronesia,1.0,t +40214,,Fiji,1.0,t +47512,,,2.0,f +23659,,French Polynesia,2.0,t +19813,,Jersey,1.0,f +9868,100%,,1.0,f +10088,,Malta,1.0,t +6,,,5.0,t +13759,,Malawi,1.0,f +26418,50%,Niue,1.0,t +26168,,,1.0,f +30569,100%,United Kingdom,5.0,t +12975,,Lebanon,2.0,t +43334,,Lebanon,1.0,t +26666,100%,Gambia,3.0,t +45857,,Ecuador,1.0,t +41628,100%,United Kingdom,1.0,t +5576,,Turkmenistan,1.0,t +20068,80%,Uzbekistan,5.0,t +37638,100%,Saint Helena,2.0,t +11373,,Ghana,1.0,f +21530,,Anguilla,1.0,f +46471,,,1.0,t +32889,,Rwanda,1.0,f +37438,100%,Andorra,4.0,t +39042,100%,Mexico,2.0,t +34841,100%,Zimbabwe,22.0,t +19450,,Niue,1.0,t +36708,,Estonia,1.0,f +41346,97%,Estonia,7.0,t +41346,97%,Estonia,7.0,t +10187,,,1.0,t +44667,,,1.0,t +29926,67%,Zimbabwe,7.0,t +3010,,Lithuania,1.0,f +46440,,Russian Federation,1.0,t +31301,,China,1.0,f +40400,80%,Guinea,2.0,t +37071,,,1.0,f +16509,,Gambia,1.0,t +19835,,Lebanon,1.0,f +18731,,Lithuania,2.0,f +7379,,French Guiana,2.0,t +24825,,,1.0,t +47401,,Kenya,1.0,f +12297,67%,Turkmenistan,1.0,t +12432,,,2.0,f +20167,,Niue,1.0,t +14469,,Chile,1.0,t +29445,100%,Faroe Islands,4.0,t +17345,,Maldives,1.0,t +26491,,Niue,1.0,f +43399,,Lebanon,1.0,f +3246,,Chad,1.0,t +3628,100%,Tonga,2.0,f +15562,,Niue,1.0,f +38000,100%,Marshall Islands,1.0,f +42403,100%,Malawi,1.0,t +34469,100%,Micronesia,1.0,t +39093,,Congo,1.0,f +43647,,,1.0,t +46444,,China,1.0,f +33393,100%,Guernsey,3.0,f +28513,,Uzbekistan,1.0,f +24762,100%,,2.0,t +18934,,Venezuela,1.0,t +9726,80%,Russian Federation,1.0,f +49393,,Saint Helena,1.0,t +23235,,Nauru,1.0,t +17765,,,1.0,t +23590,,Venezuela,2.0,f +9998,,,1.0,t +19219,,Tonga,1.0,t +29192,100%,Micronesia,1.0,t +19812,100%,Uzbekistan,2.0,t +30775,,,1.0,t +37539,65%,Chad,1.0,f +20927,,Isle of Man,1.0,f +7120,,Bosnia and Herzegovina,1.0,f +33395,,,1.0,t +34968,,,1.0,f +33762,,Rwanda,1.0,f +10039,100%,Vanuatu,6.0,t +8813,100%,Malta,1.0,f +13921,,,1.0,f +30017,,Chad,1.0,f +46236,,Maldives,1.0,t +43488,100%,,1.0,t +36249,,China,1.0,t +24985,90%,,7.0,t +46064,,Guinea,1.0,t +29515,,,1.0,t +23181,,,2.0,t +5234,,Tonga,1.0,f +32480,,Croatia,2.0,t +23657,,Venezuela,1.0,f +15653,80%,Svalbard & Jan Mayen Islands,2.0,t +32861,,Micronesia,1.0,f +40606,88%,Slovakia (Slovak Republic),2.0,f +15850,,French Guiana,1.0,f +46429,100%,,2.0,f +46976,100%,Croatia,1.0,f +6984,100%,Suriname,9.0,f +35067,,Venezuela,1.0,t +9244,100%,Tonga,1.0,f +46227,,,1.0,f +30474,,Bouvet Island (Bouvetoya),1.0,f +17323,100%,Russian Federation,2.0,t +42189,,,1.0,f +6124,,Brazil,1.0,f +12543,,Uzbekistan,3.0,t +36378,,,1.0,f +26111,,,1.0,f +20327,100%,Chad,1.0,t +39524,100%,Isle of Man,1.0,t +30138,,Zimbabwe,1.0,t +45438,,,1.0,f +37638,100%,Saint Helena,2.0,t +36793,,Isle of Man,1.0,f +3115,83%,Slovakia (Slovak Republic),17.0,t +9682,100%,Micronesia,1.0,f +20982,100%,,1.0,f +33493,,,1.0,t +26808,100%,Rwanda,9.0,t +41419,100%,Niue,2.0,f +49892,,Tonga,1.0,t +48141,100%,,1.0,f +11319,100%,,1.0,f +27483,,Djibouti,1.0,t +48234,100%,Papua New Guinea,1.0,f +14606,,Niue,1.0,t +46338,0%,France,1.0,f +34546,50%,Isle of Man,1.0,t +34186,60%,,2.0,t +39700,100%,,1.0,f +28016,,Micronesia,2.0,f +42770,,Holy See (Vatican City State),3.0,t +6666,,Malawi,1.0,t +21374,88%,Russian Federation,1.0,f +46691,90%,Uzbekistan,38.0,f +3932,100%,Uzbekistan,2.0,f +40593,,Nauru,10.0,t +15753,100%,Gambia,1.0,t +38285,,Netherlands,1.0,f +1898,,,1.0,t +40400,80%,Guinea,2.0,t +14474,,Russian Federation,1.0,f +17818,100%,Montserrat,2.0,t +12734,100%,Malta,3.0,t +44860,,Isle of Man,2.0,t +4631,,Rwanda,1.0,f +22143,100%,Venezuela,3.0,t +1435,90%,Uzbekistan,1.0,t +17972,100%,Guinea,1.0,f +28189,100%,Isle of Man,1.0,f +48455,89%,Uzbekistan,20.0,t +35430,,Venezuela,1.0,f +12465,,Marshall Islands,1.0,f +50059,100%,Barbados,7.0,f +43945,,Zimbabwe,1.0,t +43533,100%,,3.0,t +15956,,China,1.0,t +46429,100%,,2.0,f +24498,,Chad,1.0,t +8335,,Lebanon,1.0,f +12812,99%,Croatia,32.0,f +12812,99%,Croatia,32.0,f +49663,,Chile,2.0,t +35170,100%,Vietnam,5.0,t +28016,,Micronesia,2.0,f +18675,100%,Netherlands,2.0,t +39197,100%,Ecuador,2.0,t +2459,,Nauru,2.0,f +40388,,Mauritania,1.0,t +711,,,1.0,t +18852,100%,,1.0,t +13403,96%,Maldives,21.0,t +24674,,Vietnam,4.0,t +19053,100%,Svalbard & Jan Mayen Islands,4.0,t +39903,100%,Guinea,1.0,t +16551,,Denmark,1.0,t +16495,100%,,2.0,t +10159,,Gambia,2.0,f +49443,100%,Sao Tome and Principe,2.0,t +22199,,Anguilla,1.0,t +30572,,Russian Federation,1.0,t +3517,,Russian Federation,1.0,t +25550,100%,Nicaragua,8.0,t +13143,100%,,2.0,t +21726,100%,,1.0,t +12994,80%,Croatia,1.0,f +9054,100%,Seychelles,4.0,t +46832,100%,Niue,2.0,t +34306,91%,Wallis and Futuna,30.0,t +7117,75%,Russian Federation,1.0,f +37991,,Tanzania,1.0,t +43192,60%,Suriname,1.0,t +41828,,Guinea,1.0,f +48757,10%,Gambia,1.0,t +43635,,Moldova,1.0,f +5607,100%,Jersey,2.0,t +4306,83%,China,3.0,f +9095,100%,Uganda,2.0,f +41021,,United Kingdom,1.0,f +16488,,Zimbabwe,2.0,t +8222,,,1.0,f +41084,,,1.0,t +33738,,Congo,5.0,t +41393,,Guernsey,1.0,t +33738,,Congo,5.0,t +12361,100%,Guernsey,4.0,t +2465,100%,Gibraltar,4.0,t +47759,,,1.0,f +13256,,Tonga,1.0,t +22912,100%,Russian Federation,1.0,t +31332,100%,Gambia,3.0,t +37503,,French Guiana,1.0,f +47878,,Faroe Islands,2.0,f +22791,100%,Uzbekistan,1.0,t +16557,100%,Jersey,1.0,t +9166,100%,,2.0,t +26375,100%,Afghanistan,5.0,t +2160,100%,Isle of Man,1.0,t +45493,,French Guiana,1.0,t +43447,,Ghana,5.0,t +49622,,Jersey,1.0,t +27336,,Maldives,1.0,t +40943,,Tonga,1.0,f +561,,Croatia,1.0,t +6278,,French Guiana,1.0,t +34332,,Nicaragua,1.0,f +24066,,Niue,2.0,t +32974,,,1.0,f +8552,100%,,1.0,t +15548,100%,Faroe Islands,1.0,t +23153,100%,Gibraltar,2.0,t +6872,100%,,1.0,t +48228,100%,Greenland,2.0,f +5470,,Niue,1.0,f +31457,100%,,2.0,t +9827,,Somalia,1.0,t +28307,100%,Reunion,1.0,f +35939,70%,,1.0,f +28968,100%,,1.0,t +17513,,Faroe Islands,1.0,t +38536,,Togo,1.0,f +18146,100%,,2.0,t +32572,100%,Niue,1.0,t +34841,100%,Zimbabwe,22.0,t +48074,100%,Switzerland,1.0,t +40540,,Cape Verde,7.0,f +42110,67%,Guinea,2.0,f +23207,100%,Bosnia and Herzegovina,1.0,t +17638,100%,Sao Tome and Principe,1.0,t +34678,89%,Croatia,4.0,t +36272,,Indonesia,1.0,t +46787,100%,Niue,1.0,t +29130,100%,Kenya,2.0,t +35042,,Mexico,1.0,t +4369,,Guinea,1.0,f +41080,89%,Tonga,10.0,t +16977,100%,Monaco,1.0,f +46028,,Mauritania,1.0,t +26549,100%,Malta,3.0,t +39505,,Sao Tome and Principe,2.0,f +39283,100%,Uganda,13.0,f +24458,,Rwanda,1.0,f +44874,100%,Isle of Man,2.0,t +2056,,,1.0,f +43351,,Guinea,3.0,t +20962,100%,Russian Federation,2.0,t +7648,,Indonesia,1.0,t +15143,,United Kingdom,2.0,t +24073,100%,Zimbabwe,2.0,f +38826,75%,Senegal,2.0,t +47914,80%,Philippines,1.0,t +3950,100%,,1.0,t +32359,,France,1.0,t +39881,100%,Lithuania,2.0,f +1032,,Somalia,1.0,f +40077,90%,,1.0,f +11680,100%,,1.0,t +47175,,Malawi,1.0,t +13762,77%,Senegal,1.0,t +23705,,Niue,1.0,f +47781,,Cocos (Keeling) Islands,1.0,t +49273,100%,Sao Tome and Principe,1.0,t +3522,100%,Russian Federation,1.0,t +20766,100%,Niue,1.0,t +8584,100%,Costa Rica,7.0,t +1019,100%,,1.0,t +9586,100%,Guinea,2.0,t +49548,100%,Faroe Islands,2.0,t +6838,96%,Spain,59.0,t +45138,79%,Barbados,14.0,f +6838,96%,Spain,59.0,t +37822,100%,,1.0,f +23937,,,1.0,f +17694,100%,Isle of Man,4.0,t +11167,,Djibouti,1.0,f +8608,80%,Tunisia,1.0,t +26717,,Cuba,1.0,t +3093,100%,,1.0,t +13380,,Zimbabwe,1.0,t +37441,100%,Vietnam,12.0,t +306,100%,El Salvador,3.0,f +27489,100%,Canada,2.0,t +31442,100%,,1.0,t +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +24174,100%,Guinea,1.0,t +27525,,Togo,1.0,t +47836,,,1.0,t +12797,,,1.0,t +21544,,Kiribati,1.0,f +17686,,Reunion,2.0,t +47059,,Lebanon,1.0,f +41346,97%,Estonia,7.0,t +17932,100%,Costa Rica,8.0,t +29652,,Rwanda,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +39562,100%,Uzbekistan,3.0,t +17705,100%,Philippines,3.0,t +17705,100%,Philippines,3.0,t +16676,100%,Indonesia,2.0,t +8432,100%,Sierra Leone,2.0,f +17705,100%,Philippines,3.0,t +17694,100%,Isle of Man,4.0,t +7076,,,1.0,t +9157,,,1.0,f +46499,,Philippines,2.0,f +26375,100%,Afghanistan,5.0,t +18428,100%,Niue,2.0,t +44912,,Lebanon,1.0,t +39881,100%,Lithuania,2.0,f +22377,100%,Russian Federation,1.0,t +38081,,,3.0,t +38081,,,3.0,t +3402,100%,,1.0,t +13035,,Marshall Islands,1.0,f +22692,,Maldives,3.0,f +35976,100%,,6.0,t +40195,,,2.0,f +47422,99%,Uzbekistan,30.0,f +14900,100%,Isle of Man,1.0,t +17597,33%,Wallis and Futuna,1.0,t +20026,,Bahrain,1.0,t +45875,,Zimbabwe,1.0,t +37955,80%,Slovakia (Slovak Republic),3.0,t +7208,,El Salvador,2.0,t +36519,,Malta,1.0,t +26384,,Mexico,1.0,t +25703,83%,Tanzania,1.0,f +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +14278,,,1.0,f +22559,100%,United Kingdom,1.0,t +18987,100%,,1.0,f +6838,96%,Spain,59.0,t +16918,,,1.0,f +37325,,Marshall Islands,1.0,t +32954,,,1.0,f +36189,100%,Brazil,2.0,t +6838,96%,Spain,59.0,t +3843,,Uzbekistan,1.0,f +28149,100%,Mexico,6.0,t +46454,,Palestinian Territory,1.0,f +7284,,Russian Federation,1.0,t +36906,100%,Montserrat,1.0,t +829,100%,Gibraltar,1.0,t +6838,96%,Spain,59.0,t +22229,100%,Afghanistan,3.0,t +6838,96%,Spain,59.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +12383,67%,France,1.0,t +40751,100%,,1.0,f +6838,96%,Spain,59.0,t +33069,,,1.0,f +4508,100%,,1.0,t +44857,100%,Zimbabwe,24.0,t +34038,100%,,1.0,f +40329,,Isle of Man,1.0,t +19224,100%,Brazil,1.0,f +27037,,Zimbabwe,1.0,f +31522,97%,Niger,5.0,t +43471,90%,Marshall Islands,1.0,f +47976,78%,Uzbekistan,1.0,t +10507,,Isle of Man,1.0,t +4981,100%,Niue,1.0,f +40305,83%,Monaco,1.0,t +18484,100%,Gambia,108.0,f +6110,100%,Montserrat,1.0,f +6829,,Ecuador,1.0,f +32573,25%,Gambia,1.0,f +15525,100%,,1.0,t +40933,,Niue,1.0,t +28840,100%,Maldives,1.0,t +44602,,Niger,1.0,t +8696,,,1.0,f +10319,,Niue,1.0,t +19677,,Nicaragua,1.0,t +7684,100%,Isle of Man,1.0,t +5711,100%,Senegal,2.0,f +32901,,China,1.0,f +18507,67%,Marshall Islands,1.0,t +24935,,Montserrat,1.0,f +49880,,Afghanistan,1.0,t +48962,100%,Isle of Man,1.0,f +46818,,Svalbard & Jan Mayen Islands,2.0,f +42772,,Guinea,3.0,f +44346,80%,Niue,1.0,t +34841,100%,Zimbabwe,22.0,t +49608,,Ukraine,1.0,t +18452,90%,Barbados,2.0,f +26331,100%,Brazil,2.0,t +22809,100%,Barbados,2.0,f +13279,100%,Isle of Man,2.0,t +6593,,,1.0,f +39072,,Mexico,1.0,f +23939,100%,Uzbekistan,1.0,t +36837,100%,Lebanon,2.0,t +2728,,,1.0,t +6437,100%,United Kingdom,1.0,f +24163,100%,,1.0,t +11492,100%,Indonesia,2.0,t +49068,100%,Gibraltar,1.0,t +2366,,Costa Rica,1.0,t +10804,,French Polynesia,1.0,f +13233,,,1.0,t +13886,100%,Guinea,1.0,f +8967,100%,Uganda,3.0,f +8167,,Croatia,1.0,f +8342,,,1.0,f +29398,100%,,1.0,t +32582,83%,,3.0,f +34867,100%,,1.0,t +39293,,Senegal,1.0,t +49998,100%,Croatia,1.0,t +43281,100%,Micronesia,5.0,f +44570,100%,,5.0,t +4923,,,1.0,t +3138,,,1.0,f +15720,,Kenya,1.0,f +48007,100%,Uganda,3.0,t +48007,100%,Uganda,3.0,t +47489,,Guinea,1.0,t +15920,,,1.0,f +20569,100%,Montserrat,3.0,t +48918,100%,Slovakia (Slovak Republic),1.0,t +3656,100%,Marshall Islands,1.0,t +49090,,Afghanistan,1.0,f +15144,,Croatia,2.0,t +3340,100%,Indonesia,6.0,t +1691,,Lebanon,2.0,t +25017,,,1.0,t +23673,,Niue,1.0,t +1660,93%,,2.0,t +41803,,Vanuatu,1.0,t +20673,,Rwanda,3.0,t +11836,,United Kingdom,1.0,t +46455,92%,Uzbekistan,4.0,t +36635,100%,Indonesia,10.0,f +21065,,Estonia,1.0,t +19053,100%,Svalbard & Jan Mayen Islands,4.0,t +49789,100%,United States Minor Outlying Islands,2.0,t +18389,,Rwanda,1.0,f +19239,100%,Nicaragua,2.0,t +12126,,Isle of Man,1.0,f +35363,,,1.0,f +47897,,Brazil,1.0,f +29748,40%,Djibouti,1.0,t +17986,0%,,1.0,f +36837,100%,Lebanon,2.0,t +4267,100%,Senegal,22.0,t +14758,,Indonesia,2.0,f +26119,,French Guiana,1.0,t +31599,100%,,2.0,t +43536,100%,Russian Federation,1.0,t +33193,100%,Brazil,10.0,f +45262,100%,Monaco,1.0,t +34510,100%,Jersey,2.0,t +14758,,Indonesia,2.0,f +11211,100%,,1.0,f +19351,100%,Guinea,2.0,f +13685,,,1.0,f +34881,100%,China,6.0,f +35304,100%,Tonga,12.0,t +1557,100%,,1.0,t +18806,100%,Vietnam,6.0,t +36152,,Chad,1.0,f +40892,,,2.0,f +26842,100%,Jersey,2.0,t +3226,100%,Turkmenistan,1.0,t +43964,,Russian Federation,1.0,f +38162,100%,Niger,8.0,f +35966,,,1.0,f +23943,100%,Nicaragua,2.0,t +42923,,Maldives,1.0,f +9872,,Svalbard & Jan Mayen Islands,2.0,t +17316,100%,Niue,1.0,t +47453,100%,,1.0,t +44818,,Ghana,1.0,t +29478,90%,,1.0,t +4934,100%,Niger,2.0,t +19151,,Tanzania,2.0,f +36305,100%,Fiji,1.0,t +44857,100%,Zimbabwe,24.0,t +4937,,Papua New Guinea,1.0,f +18988,78%,Uzbekistan,2.0,f +40438,,,1.0,t +4934,100%,Niger,2.0,t +2861,90%,Niue,1.0,t +46913,100%,,1.0,t +24032,100%,Lebanon,1.0,f +25109,100%,,1.0,t +43216,,Andorra,1.0,f +47872,,,1.0,f +32118,,France,1.0,f +45434,,Nauru,1.0,t +32284,,Turkmenistan,1.0,f +6378,100%,Isle of Man,1.0,f +45073,,,1.0,t +2086,100%,Isle of Man,1.0,t +40678,100%,Ecuador,3.0,t +16600,100%,Russian Federation,2.0,t +15165,,Croatia,1.0,t +36062,100%,Finland,1.0,f +39555,100%,Marshall Islands,13.0,t +11389,100%,Christmas Island,1.0,t +22399,,France,1.0,t +2773,100%,Gibraltar,3.0,t +11134,100%,Palestinian Territory,1.0,t +19041,100%,Indonesia,4.0,t +6365,80%,Nauru,2.0,t +35304,100%,Tonga,12.0,t +38091,100%,,2.0,t +38091,100%,,2.0,t +42068,,Estonia,2.0,f +50088,,,1.0,t +48811,,Kenya,1.0,t +34931,100%,Gibraltar,2.0,t +35304,100%,Tonga,12.0,t +3519,,Vietnam,1.0,t +35304,100%,Tonga,12.0,t +48621,,,1.0,t +32236,100%,,1.0,t +42455,100%,,1.0,t +8448,0%,Croatia,1.0,t +35728,100%,Lithuania,1.0,t +44968,100%,Croatia,2.0,t +6,,,5.0,t +14631,,,1.0,f +5218,100%,Jersey,1.0,t +8280,90%,Uzbekistan,3.0,f +39600,100%,,1.0,f +15896,100%,,1.0,t +190,100%,Nicaragua,1.0,f +24400,,Tonga,1.0,f +15031,50%,Tanzania,3.0,t +29753,100%,El Salvador,3.0,t +11826,100%,Cocos (Keeling) Islands,2.0,t +24384,,Micronesia,1.0,t +9957,,Chad,3.0,t +42252,91%,Ecuador,2.0,t +46363,,,1.0,f +26099,99%,Reunion,15.0,f +44874,100%,Isle of Man,2.0,t +5607,100%,Jersey,2.0,t +3006,100%,,1.0,f +44287,,Venezuela,1.0,t +40044,100%,Marshall Islands,1.0,f +35304,100%,Tonga,12.0,t +12164,100%,Nicaragua,8.0,f +39870,,Slovakia (Slovak Republic),21.0,t +35304,100%,Tonga,12.0,t +35887,100%,Niue,2.0,t +334,,,1.0,t +44145,100%,Rwanda,4.0,t +40402,,,1.0,f +6556,,Senegal,1.0,f +47422,99%,Uzbekistan,30.0,f +47422,99%,Uzbekistan,30.0,f +9114,94%,Sao Tome and Principe,4.0,t +44656,100%,Faroe Islands,3.0,t +46635,100%,Puerto Rico,1.0,t +29489,100%,Somalia,1.0,t +21751,,Nicaragua,1.0,t +42343,100%,,1.0,t +6535,100%,,1.0,t +49203,,Russian Federation,1.0,t +34113,,Marshall Islands,2.0,t +37379,,Jersey,1.0,t +3856,100%,,1.0,t +12952,,Greenland,1.0,t +47113,,Faroe Islands,2.0,f +45790,100%,Gibraltar,1.0,f +38817,100%,France,4.0,t +26733,,,1.0,f +47422,99%,Uzbekistan,30.0,f +31389,,Micronesia,1.0,f +47422,99%,Uzbekistan,30.0,f +25176,,Christmas Island,1.0,f +46509,,Barbados,1.0,t +29282,,Chad,1.0,f +1129,,Zimbabwe,1.0,t +8142,100%,Gambia,4.0,t +33823,78%,France,17.0,t +14409,100%,,1.0,t +38817,100%,France,4.0,t +44108,100%,Ecuador,1.0,t +24881,,,2.0,f +20594,,,1.0,t +18344,,Turkmenistan,1.0,t +37415,100%,Mexico,2.0,f +4958,100%,,1.0,f +10197,100%,Sao Tome and Principe,1.0,t +1730,100%,Chad,2.0,t +15324,,Vietnam,2.0,t +24552,,Rwanda,1.0,t +39234,,Venezuela,3.0,t +16600,100%,Russian Federation,2.0,t +7529,,Chad,1.0,f +4742,20%,Chile,3.0,t +96,100%,Mexico,2.0,t +38800,100%,Marshall Islands,1.0,t +43152,100%,Nicaragua,82.0,t +41465,80%,Maldives,2.0,f +26995,100%,,1.0,t +46704,,Tanzania,1.0,t +45284,0%,Estonia,1.0,t +47594,100%,Kenya,17.0,t +15682,100%,Isle of Man,1.0,f +12700,100%,Uganda,1.0,f +43114,,Chile,1.0,f +21459,,Chile,1.0,f +17024,,Niue,1.0,t +34292,,Micronesia,2.0,t +36198,,Lebanon,1.0,t +10618,,Niue,1.0,t +26808,100%,Rwanda,9.0,t +1421,100%,Estonia,4.0,t +1421,100%,Estonia,4.0,t +17697,90%,Rwanda,3.0,f +966,90%,Tanzania,1.0,t +29929,75%,Montserrat,3.0,t +37646,100%,Estonia,60.0,f +44170,,Niue,2.0,t +48367,100%,Sao Tome and Principe,2.0,f +13270,100%,Anguilla,3.0,t +47723,100%,Guinea,2.0,f +34226,,Palestinian Territory,2.0,t +41763,,United Kingdom,2.0,t +31485,100%,Philippines,1.0,t +27940,100%,Anguilla,2.0,f +499,100%,,2.0,t +28833,100%,Venezuela,5.0,f +43281,100%,Micronesia,5.0,f +4053,,Ecuador,6.0,f +45482,,,1.0,f +20820,100%,,1.0,f +40000,83%,,1.0,f +37878,,Turks and Caicos Islands,1.0,t +40534,,Sao Tome and Principe,1.0,t +38209,,Bosnia and Herzegovina,2.0,f +34306,91%,Wallis and Futuna,30.0,t +49780,,El Salvador,1.0,t +34306,91%,Wallis and Futuna,30.0,t +21921,,,1.0,t +31551,97%,Kiribati,8.0,t +26994,100%,Tonga,1.0,t +48270,100%,Indonesia,1.0,t +29018,,Chile,1.0,t +3487,80%,Grenada,2.0,f +26774,,Monaco,2.0,t +49653,40%,Marshall Islands,1.0,t +20003,,Brazil,2.0,f +24663,,Lithuania,1.0,t +40625,,Ghana,1.0,t +22747,100%,,1.0,f +34012,100%,,1.0,t +34986,100%,,1.0,f +27586,,Tonga,1.0,t +21587,100%,,1.0,t +21977,100%,Malawi,1.0,f +17724,,Turks and Caicos Islands,6.0,t +28365,,China,4.0,t +26392,,Malta,4.0,f +32751,,Faroe Islands,1.0,t +4683,,El Salvador,1.0,t +28252,100%,Niue,2.0,f +27917,,Niue,1.0,t +38263,,Indonesia,1.0,t +39666,,El Salvador,1.0,t +21778,100%,,1.0,t +19525,0%,Bouvet Island (Bouvetoya),1.0,t +38413,,Bosnia and Herzegovina,1.0,f +41238,100%,Kiribati,1.0,t +34275,100%,Tonga,1.0,t +42022,100%,Nauru,1.0,t +49398,88%,Barbados,18.0,t +33676,100%,Zimbabwe,1.0,t +11419,,Tonga,1.0,t +23724,,Ghana,1.0,t +12635,100%,Uzbekistan,1.0,t +43995,100%,,1.0,t +44543,100%,Bosnia and Herzegovina,1.0,t +38799,100%,Uzbekistan,1.0,t +33664,100%,French Guiana,1.0,f +40093,,Zimbabwe,2.0,t +25244,,Sao Tome and Principe,1.0,t +48852,60%,Rwanda,3.0,t +47422,99%,Uzbekistan,30.0,f +7588,100%,Philippines,2.0,f +7588,100%,Philippines,2.0,f +22510,100%,Uzbekistan,1.0,t +33224,100%,Uzbekistan,1.0,f +15893,100%,Pakistan,1.0,t +24239,100%,Kiribati,8.0,t +47964,,Chile,3.0,f +45526,,,1.0,f +3868,100%,,2.0,t +19802,100%,Denmark,1.0,f +40037,100%,Chile,1.0,t +48842,71%,Guinea,1.0,f +13382,,,1.0,t +403,,Malawi,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +23781,50%,,2.0,f +16073,,Chile,1.0,t +48184,,Tanzania,1.0,t +15828,,Andorra,1.0,f +8809,100%,Micronesia,1.0,t +45081,,,2.0,t +42458,97%,Indonesia,14.0,t +35352,,Estonia,2.0,t +8859,90%,Ukraine,5.0,f +40787,33%,Marshall Islands,2.0,f +14852,,Sao Tome and Principe,2.0,f +37646,100%,Estonia,60.0,f +4342,,Russian Federation,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +8859,90%,Ukraine,5.0,f +12101,100%,,2.0,f +46112,100%,Afghanistan,2.0,t +17337,100%,,1.0,f +37666,100%,Ecuador,9.0,f +37666,100%,Ecuador,9.0,f +25584,,Lebanon,1.0,t +37666,100%,Ecuador,9.0,f +3345,,Russian Federation,1.0,f +37666,100%,Ecuador,9.0,f +37666,100%,Ecuador,9.0,f +37666,100%,Ecuador,9.0,f +37666,100%,Ecuador,9.0,f +37666,100%,Ecuador,9.0,f +26956,,,1.0,t +29327,,Svalbard & Jan Mayen Islands,1.0,f +30907,,Zimbabwe,2.0,f +15878,100%,Reunion,1.0,f +5358,,United Kingdom,1.0,t +8006,,Chad,1.0,t +13403,96%,Maldives,21.0,t +20094,100%,Cocos (Keeling) Islands,2.0,f +28215,100%,Guinea,1.0,f +15437,0%,Jersey,1.0,f +24756,,,1.0,t +43281,100%,Micronesia,5.0,f +42726,100%,Niue,1.0,f +47632,100%,Jersey,1.0,t +36991,,Turkmenistan,1.0,f +38633,,Niue,1.0,t +5602,17%,,1.0,t +11201,,Faroe Islands,1.0,t +41747,,Tonga,1.0,t +12581,,Lebanon,1.0,t +16990,0%,Russian Federation,1.0,f +2933,,Kenya,2.0,f +3089,100%,Russian Federation,1.0,f +12367,60%,Venezuela,1.0,f +43059,,Chile,1.0,f +14949,,,1.0,f +40779,,,1.0,t +17759,100%,Chad,2.0,f +2587,100%,Niue,3.0,t +5648,,Greenland,7.0,f +45543,,Gambia,1.0,f +5648,,Greenland,7.0,f +5648,,Greenland,7.0,f +5648,,Greenland,7.0,f +5648,,Greenland,7.0,f +5648,,Greenland,7.0,f +5648,,Greenland,7.0,f +16223,100%,,1.0,t +46024,100%,,1.0,t +38276,33%,Canada,2.0,t +26589,100%,Micronesia,1.0,t +6850,100%,Faroe Islands,3.0,t +20154,,Chad,1.0,t +18701,,Ecuador,1.0,t +48565,,,1.0,f +18919,,Russian Federation,1.0,t +16730,,Isle of Man,1.0,f +3210,,,1.0,t +6838,96%,Spain,59.0,t +555,100%,Brazil,2.0,t +7478,,,2.0,t +336,100%,Ecuador,7.0,f +40412,97%,Netherlands,26.0,t +24503,,,1.0,t +25156,,Andorra,1.0,f +4302,,Lebanon,2.0,t +16207,100%,Marshall Islands,1.0,f +19943,63%,Isle of Man,34.0,f +30527,,Niue,1.0,t +18377,,Russian Federation,1.0,t +47299,,Chad,1.0,t +46386,,,1.0,f +20335,100%,,2.0,f +3440,33%,Lebanon,1.0,f +20335,100%,,2.0,f +44383,,,2.0,f +8853,,Jersey,1.0,f +45155,0%,,1.0,t +39986,100%,Isle of Man,2.0,t +12937,,,1.0,t +40638,,,1.0,f +20990,,Croatia,2.0,f +28655,,Kenya,1.0,f +35657,100%,Zimbabwe,2.0,t +43327,,Sao Tome and Principe,3.0,f +38377,,Lebanon,1.0,f +21023,100%,,2.0,t +10592,100%,Malta,2.0,t +647,,Lebanon,1.0,t +8425,,Zimbabwe,1.0,f +6925,67%,Uganda,1.0,t +40837,,France,1.0,f +40433,100%,Russian Federation,3.0,f +43625,,Isle of Man,1.0,f +6752,,Maldives,1.0,t +45574,,Sao Tome and Principe,1.0,f +40839,,Croatia,1.0,f +3757,100%,Tonga,1.0,t +22586,100%,Russian Federation,1.0,t +32917,100%,Mauritania,1.0,t +15604,100%,Russian Federation,2.0,t +10687,100%,,1.0,t +42374,,Venezuela,1.0,f +38190,,Micronesia,1.0,t +43152,100%,Nicaragua,82.0,t +11141,,,1.0,t +10396,,Niger,1.0,f +35356,100%,Russian Federation,2.0,t +28167,,Russian Federation,1.0,t +46770,,Malawi,1.0,t +40766,,Russian Federation,1.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +17314,,Guernsey,1.0,t +46586,100%,Bosnia and Herzegovina,12.0,f +22448,,Chile,1.0,f +38507,,,1.0,f +33067,,Costa Rica,1.0,f +35539,,Somalia,1.0,t +25139,,Monaco,2.0,t +46586,100%,Bosnia and Herzegovina,12.0,f +31910,,Lebanon,1.0,t +10667,,,1.0,t +16135,100%,Zimbabwe,2.0,t +48147,100%,Denmark,1.0,t +22360,,Malta,1.0,f +12213,,Chad,1.0,t +2120,,Nicaragua,1.0,f +29691,100%,Isle of Man,1.0,t +26586,,Sao Tome and Principe,2.0,t +6175,100%,Russian Federation,4.0,t +31788,,Denmark,1.0,f +48916,100%,Libyan Arab Jamahiriya,1.0,f +28927,,Gambia,1.0,f +45261,,Malta,2.0,f +36026,100%,Sao Tome and Principe,1.0,t +20146,100%,Niue,1.0,t +262,97%,Maldives,16.0,t +36332,100%,Isle of Man,11.0,f +45261,,Malta,2.0,f +34630,100%,Russian Federation,1.0,f +1829,,,1.0,t +7384,100%,Faroe Islands,2.0,t +29605,90%,Chad,1.0,f +227,,Jersey,1.0,f +36264,,,1.0,f +45273,,Wallis and Futuna,1.0,t +45754,100%,French Guiana,1.0,t +27606,,Cocos (Keeling) Islands,1.0,t +26797,,,1.0,f +7495,100%,Guinea,1.0,f +3873,100%,Marshall Islands,1.0,t +33823,78%,France,17.0,t +12683,100%,Lithuania,1.0,t +19606,100%,Mauritania,1.0,t +8871,50%,Kiribati,1.0,f +46446,,Niue,1.0,f +41801,100%,French Polynesia,1.0,f +3803,,Maldives,1.0,f +18681,100%,,1.0,t +8890,100%,Nicaragua,2.0,t +40002,,France,1.0,f +5598,100%,United Kingdom,1.0,t +29893,100%,Anguilla,2.0,f +37256,,French Guiana,1.0,f +11255,93%,Suriname,41.0,f +34231,100%,Fiji,2.0,f +22967,100%,Ecuador,2.0,t +10941,,Sao Tome and Principe,1.0,t +20513,,Korea,2.0,t +16934,33%,Malta,1.0,f +23515,100%,Russian Federation,2.0,t +32186,100%,United Kingdom,2.0,f +34292,,Micronesia,2.0,t +32216,80%,Croatia,3.0,f +11426,100%,,3.0,t +21092,,,1.0,t +28086,,Slovakia (Slovak Republic),2.0,f +48542,,Philippines,1.0,f +3526,100%,Ukraine,3.0,t +6175,100%,Russian Federation,4.0,t +39032,,,1.0,f +3496,,Moldova,2.0,f +24731,,,1.0,t +44526,,Palestinian Territory,1.0,t +19187,,,1.0,t +5761,100%,Montserrat,1.0,f +6175,100%,Russian Federation,4.0,t +3227,100%,Guernsey,1.0,f +31784,100%,Kenya,1.0,t +19239,100%,Nicaragua,2.0,t +3915,100%,Ghana,2.0,t +48455,89%,Uzbekistan,20.0,t +6198,20%,,1.0,f +20538,100%,French Guiana,1.0,t +19155,93%,,2.0,t +31223,,,1.0,t +28503,,Saint Helena,1.0,f +20120,100%,Wallis and Futuna,10.0,f +26314,,Tanzania,2.0,f +13302,,Niue,1.0,f +3232,,,1.0,f +27219,,Gibraltar,3.0,t +6911,,Mauritania,2.0,f +47664,,Nicaragua,1.0,f +11142,,Tonga,1.0,t +9441,,El Salvador,1.0,f +24324,100%,Niger,2.0,f +11597,,,1.0,f +44749,100%,,1.0,f +40681,,Faroe Islands,1.0,f +30672,,Lebanon,1.0,f +33128,,,1.0,t +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +23225,100%,Kiribati,1.0,f +25469,100%,Russian Federation,1.0,t +23483,50%,,1.0,f +10264,,Cocos (Keeling) Islands,1.0,f +37952,100%,Congo,3.0,t +32316,,Nauru,1.0,t +15227,100%,Reunion,1.0,f +30103,,Cocos (Keeling) Islands,1.0,t +39197,100%,Ecuador,2.0,t +9087,100%,Mauritania,1.0,t +23794,,Micronesia,1.0,f +41729,100%,Zimbabwe,2.0,f +8953,90%,Micronesia,7.0,t +8953,90%,Micronesia,7.0,t +43044,100%,Micronesia,2.0,t +26740,100%,Russian Federation,1.0,t +6175,100%,Russian Federation,4.0,t +4087,100%,Micronesia,2.0,t +4220,,El Salvador,1.0,t +47776,,Brazil,1.0,f +30901,100%,Indonesia,2.0,t +7124,,,1.0,f +35986,100%,Niue,1.0,t +7397,,,1.0,t +27438,100%,,1.0,t +10592,100%,Malta,2.0,t +47903,,French Guiana,1.0,t +3642,90%,Bosnia and Herzegovina,2.0,t +21045,100%,French Guiana,2.0,f +48387,70%,,1.0,f +32766,100%,Faroe Islands,2.0,f +25032,100%,Nicaragua,1.0,t +41700,100%,,1.0,t +42702,,,1.0,f +16115,,Peru,1.0,t +3731,,Malta,1.0,f +9453,40%,Zimbabwe,1.0,f +36643,98%,Maldives,17.0,f +25317,100%,,3.0,t +19535,,Russian Federation,1.0,t +37077,,,1.0,t +18055,,Bosnia and Herzegovina,1.0,t +27295,100%,Isle of Man,1.0,f +12133,100%,Mexico,4.0,f +16316,100%,,2.0,t +9375,100%,Peru,2.0,t +25265,100%,Libyan Arab Jamahiriya,1.0,t +38164,,,1.0,f +36984,100%,,2.0,f +43152,100%,Nicaragua,82.0,t +4087,100%,Micronesia,2.0,t +43152,100%,Nicaragua,82.0,t +34980,,,1.0,t +36481,95%,Kiribati,7.0,t +28179,,Lebanon,1.0,f +15667,100%,Tonga,1.0,t +35325,100%,,2.0,t +22845,100%,,1.0,f +11347,100%,Gibraltar,3.0,f +33437,,Malta,1.0,t +42454,100%,Finland,1.0,f +22486,,,1.0,t +417,100%,Monaco,2.0,t +3162,100%,Montserrat,6.0,t +3741,,Kiribati,1.0,f +31183,,,1.0,f +36884,100%,Uzbekistan,1.0,f +33116,,Lebanon,1.0,t +23565,100%,Slovakia (Slovak Republic),6.0,t +27404,,Uruguay,1.0,f +38819,,,1.0,f +11955,,Kenya,1.0,t +29146,100%,Vanuatu,2.0,t +39155,100%,Russian Federation,2.0,t +19508,,,1.0,f +31621,,Kiribati,1.0,t +29146,100%,Vanuatu,2.0,t +7131,,,1.0,t +26217,100%,,1.0,t +17641,,Tajikistan,4.0,f +17450,,Malta,1.0,f +43152,100%,Nicaragua,82.0,t +30805,,Vanuatu,1.0,f +24100,,Lebanon,1.0,t +14537,,,1.0,f +21023,100%,,2.0,t +29757,100%,Chad,1.0,t +19290,,Micronesia,1.0,t +40796,,Kenya,1.0,f +25456,,,1.0,t +19116,,Micronesia,1.0,f +5649,0%,Guinea,2.0,f +31551,97%,Kiribati,8.0,t +31551,97%,Kiribati,8.0,t +18790,100%,Indonesia,4.0,f +33096,,Marshall Islands,2.0,t +15435,,,1.0,t +8742,100%,Malta,1.0,f +6838,96%,Spain,59.0,t +45553,90%,Brazil,16.0,t +6838,96%,Spain,59.0,t +41212,,,1.0,t +33446,100%,Philippines,1.0,t +32444,100%,Bahrain,1.0,f +22908,100%,Micronesia,6.0,t +30224,100%,Cuba,1.0,t +12022,80%,Uzbekistan,2.0,t +26241,100%,Ecuador,2.0,t +27487,100%,Senegal,2.0,t +1551,,Niue,1.0,f +6838,96%,Spain,59.0,t +7520,100%,Ukraine,15.0,t +10888,,Chad,1.0,t +6838,96%,Spain,59.0,t +30216,98%,Maldives,34.0,f +581,100%,Russian Federation,2.0,t +6838,96%,Spain,59.0,t +32070,,,1.0,f +48547,,United Kingdom,1.0,f +12299,100%,,3.0,t +14942,,Malta,1.0,f +49398,88%,Barbados,18.0,t +8719,,Uruguay,1.0,t +32046,50%,Gibraltar,1.0,t +44017,57%,Niue,1.0,f +43447,,Ghana,5.0,t +43085,100%,Brazil,1.0,t +41441,75%,Nauru,2.0,t +37426,100%,Zimbabwe,3.0,t +44934,100%,Philippines,17.0,f +27416,100%,Gibraltar,1.0,f +44242,94%,,1.0,t +42270,,Uzbekistan,1.0,f +40998,100%,Isle of Man,2.0,f +40998,100%,Isle of Man,2.0,f +26245,100%,,1.0,t +13859,,Costa Rica,1.0,t +14695,100%,Turkmenistan,3.0,t +14695,100%,Turkmenistan,3.0,t +23285,,Nicaragua,1.0,t +45962,,Zimbabwe,2.0,t +40212,100%,France,2.0,t +36162,100%,,4.0,t +13799,,,3.0,t +13948,,Jersey,1.0,t +26684,100%,Libyan Arab Jamahiriya,1.0,f +26314,,Tanzania,2.0,f +26716,,,1.0,t +15745,90%,Isle of Man,2.0,t +44728,,,3.0,f +38558,100%,Russian Federation,1.0,t +37184,100%,Russian Federation,1.0,t +17366,,Turks and Caicos Islands,1.0,t +40345,,Tonga,1.0,f +35833,83%,Estonia,9.0,t +27534,,Chad,2.0,t +12353,100%,Peru,1.0,t +2069,100%,Gambia,4.0,t +28803,100%,Cocos (Keeling) Islands,1.0,f +4673,100%,,1.0,t +9549,100%,,1.0,f +14267,75%,Niue,1.0,t +27085,,,1.0,t +16172,100%,,2.0,t +40974,80%,,1.0,t +16470,100%,,1.0,t +2067,100%,Russian Federation,1.0,f +35351,,Lebanon,1.0,t +32186,100%,United Kingdom,2.0,f +29955,,United Kingdom,2.0,t +42407,100%,Maldives,2.0,t +43294,100%,Isle of Man,1.0,f +48071,100%,China,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +35204,100%,Niue,1.0,t +9295,100%,Nauru,2.0,f +43144,,,1.0,t +18856,50%,El Salvador,1.0,t +40495,,Qatar,8.0,f +7623,,Somalia,1.0,f +39171,,,2.0,t +12542,98%,Mauritania,19.0,t +3508,,Lebanon,1.0,t +8441,,,2.0,f +8441,,,2.0,f +29475,50%,Niue,1.0,t +10439,,,1.0,t +46691,90%,Uzbekistan,38.0,f +44860,,Isle of Man,2.0,t +28099,,Bosnia and Herzegovina,1.0,t +5340,,French Guiana,2.0,t +5001,,,1.0,f +14437,100%,Uzbekistan,1.0,t +45187,100%,,1.0,f +22383,,Isle of Man,1.0,t +1538,,Kiribati,1.0,f +4119,,Anguilla,1.0,t +5337,88%,Puerto Rico,1.0,t +31568,,,2.0,f +42407,100%,Maldives,2.0,t +41726,90%,Maldives,2.0,t +45597,,,1.0,t +41681,90%,Malawi,2.0,t +48353,50%,,2.0,t +15159,,Ukraine,1.0,f +17551,,Chile,1.0,f +19580,100%,Uzbekistan,1.0,t +41080,89%,Tonga,10.0,t +33525,0%,,1.0,f +31181,,Marshall Islands,1.0,f +19196,100%,Monaco,2.0,t +1396,,Svalbard & Jan Mayen Islands,1.0,t +11255,93%,Suriname,41.0,f +5660,,,1.0,f +16489,100%,Russian Federation,42.0,t +27543,,Palestinian Territory,1.0,t +41932,100%,,2.0,t +43205,,Bouvet Island (Bouvetoya),2.0,t +40343,100%,Isle of Man,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +19795,100%,Estonia,8.0,f +2819,100%,Congo,1.0,t +43666,50%,Jersey,1.0,t +45374,,French Guiana,2.0,f +6407,0%,Niue,3.0,f +19370,90%,Zimbabwe,3.0,t +22543,100%,,1.0,t +5522,,Mauritania,1.0,f +35304,100%,Tonga,12.0,t +49413,100%,Uzbekistan,1.0,t +35188,92%,,1.0,t +29000,,Saint Helena,1.0,t +4977,100%,Somalia,2.0,f +48111,,,1.0,t +46998,100%,Togo,2.0,f +25418,,Uzbekistan,1.0,f +25192,100%,Barbados,1.0,t +14446,,,1.0,t +23182,,Svalbard & Jan Mayen Islands,1.0,t +13899,,Bahrain,1.0,t +39661,100%,United Kingdom,2.0,t +24429,,Brazil,1.0,f +26066,100%,,2.0,t +16418,100%,Guinea,2.0,f +32601,,Sao Tome and Principe,1.0,f +10722,100%,Tonga,2.0,t +22163,,,1.0,t +37557,100%,Brazil,4.0,t +35318,,Afghanistan,1.0,f +37834,,Russian Federation,1.0,f +37918,,El Salvador,3.0,t +6808,100%,Anguilla,2.0,t +10244,100%,Philippines,10.0,f +39551,,Nicaragua,1.0,t +19294,50%,Lebanon,2.0,f +2117,,Guinea,1.0,t +46231,,Russian Federation,1.0,t +7624,,Nicaragua,1.0,f +37882,100%,Bouvet Island (Bouvetoya),2.0,f +12568,100%,Barbados,2.0,f +18103,100%,Niue,1.0,f +42312,100%,Guinea,1.0,f +40892,,,2.0,f +25416,,Estonia,1.0,f +46237,100%,,2.0,t +49078,,Turks and Caicos Islands,1.0,f +47105,100%,Vanuatu,2.0,t +37056,100%,Jersey,1.0,t +17320,100%,Reunion,1.0,t +1459,,Afghanistan,1.0,f +23234,100%,Marshall Islands,1.0,f +37764,100%,Svalbard & Jan Mayen Islands,3.0,f +19031,100%,Guinea,1.0,t +18625,,French Guiana,1.0,t +35375,,,1.0,f +3249,,French Guiana,1.0,t +5936,,French Guiana,1.0,f +20950,,,1.0,t +44934,100%,Philippines,17.0,f +29710,,,1.0,t +4888,100%,,1.0,f +8679,,China,2.0,f +20545,,Estonia,1.0,f +2678,100%,Anguilla,3.0,f +9031,50%,,1.0,f +32107,,,1.0,t +46341,100%,Lebanon,1.0,t +19032,67%,Russian Federation,4.0,f +46,,Estonia,2.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +11212,,Nicaragua,1.0,f +39498,,Tonga,1.0,f +20677,,Russian Federation,1.0,t +32447,,Andorra,1.0,f +21801,88%,Isle of Man,1.0,t +395,,Estonia,1.0,f +31700,100%,Portugal,1.0,f +30609,100%,Turks and Caicos Islands,3.0,f +36253,100%,Nauru,21.0,t +35610,62%,Fiji,8.0,f +14854,,Tonga,1.0,f +38382,,Sao Tome and Principe,2.0,t +23524,100%,Djibouti,2.0,t +13040,100%,Jersey,1.0,t +24553,100%,Jersey,1.0,t +16680,,Chad,1.0,f +48954,100%,Montserrat,8.0,t +19128,100%,Uzbekistan,12.0,t +35908,,,1.0,t +40490,100%,Vanuatu,2.0,t +48881,,French Guiana,2.0,t +3292,,Croatia,1.0,t +43152,100%,Nicaragua,82.0,t +6846,,,1.0,t +40495,,Qatar,8.0,f +27121,,Russian Federation,1.0,t +46691,90%,Uzbekistan,38.0,f +9713,100%,Uzbekistan,1.0,t +45610,100%,Sao Tome and Principe,1.0,t +23633,,Lebanon,1.0,t +18089,,Monaco,1.0,t +39879,80%,Guinea,2.0,t +39089,,Denmark,2.0,f +6959,95%,Slovakia (Slovak Republic),20.0,t +8679,,China,2.0,f +39275,67%,,1.0,f +25273,90%,,1.0,t +5036,100%,Niue,1.0,t +29989,100%,Marshall Islands,2.0,t +7464,,Marshall Islands,1.0,t +29832,100%,Sao Tome and Principe,1.0,t +26099,99%,Reunion,15.0,f +38744,,,1.0,f +11255,93%,Suriname,41.0,f +21684,,,1.0,f +10722,100%,Tonga,2.0,t +21499,,,1.0,t +11607,100%,Croatia,2.0,t +31312,,Guinea,1.0,f +37543,,San Marino,1.0,t +39964,,Sao Tome and Principe,1.0,f +42664,,,1.0,f +41943,0%,Guinea,2.0,f +34306,91%,Wallis and Futuna,30.0,t +8235,,Kenya,2.0,f +8235,,Kenya,2.0,f +34246,,Faroe Islands,1.0,f +43364,100%,Croatia,1.0,t +8670,,Uzbekistan,1.0,t +44934,100%,Philippines,17.0,f +14695,100%,Turkmenistan,3.0,t +42613,,Monaco,1.0,f +42571,100%,Tanzania,1.0,t +6842,,,1.0,f +15777,,,1.0,f +14114,100%,Micronesia,3.0,t +37920,70%,,17.0,t +49553,,Uzbekistan,1.0,t +32844,,Malta,1.0,f +17898,,,1.0,f +34920,,,1.0,f +47562,100%,Guinea,1.0,t +44583,100%,Anguilla,2.0,t +10654,,Wallis and Futuna,3.0,t +43503,,French Guiana,1.0,t +7198,100%,Isle of Man,4.0,f +33953,,,1.0,t +32576,,Barbados,1.0,t +45345,,Sao Tome and Principe,1.0,t +35740,60%,Cocos (Keeling) Islands,1.0,t +21246,100%,Kiribati,1.0,t +37920,70%,,17.0,t +41790,75%,Togo,1.0,t +19120,100%,Peru,1.0,t +23070,,,2.0,f +12943,,Estonia,1.0,f +46834,,Malta,1.0,f +34931,100%,Gibraltar,2.0,t +47102,100%,,1.0,f +24563,90%,Pakistan,3.0,f +15244,,Greenland,1.0,f +17989,50%,Niue,1.0,t +26904,100%,Uganda,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +19755,,Bosnia and Herzegovina,1.0,t +18656,,Sao Tome and Principe,1.0,t +7520,100%,Ukraine,15.0,t +43497,100%,Micronesia,2.0,t +13949,,Kenya,1.0,f +34487,100%,Malta,2.0,f +36350,100%,Niger,1.0,t +25189,100%,,1.0,t +20037,,Kenya,2.0,t +25943,,Lebanon,2.0,t +17074,100%,,1.0,f +11540,,French Guiana,1.0,t +8434,100%,Cuba,7.0,f +31982,,Uruguay,1.0,f +33758,100%,Senegal,1.0,f +11616,100%,Uzbekistan,12.0,t +30827,100%,Togo,1.0,f +1690,50%,Uganda,2.0,f +22795,,El Salvador,1.0,t +15818,,,1.0,t +47166,100%,Chad,1.0,t +22286,100%,,2.0,f +47394,,Russian Federation,1.0,f +3434,,,1.0,f +25696,100%,Korea,1.0,t +22718,100%,,1.0,t +24074,,,1.0,t +48725,,Rwanda,1.0,t +39355,80%,Zimbabwe,2.0,t +17216,100%,Ecuador,2.0,t +35313,100%,,2.0,f +2925,,,1.0,t +27651,100%,Malta,1.0,f +5327,100%,Togo,5.0,t +33115,,United Kingdom,1.0,f +10292,100%,,1.0,t +39603,100%,Russian Federation,2.0,f +39603,100%,Russian Federation,2.0,f +1827,100%,Uzbekistan,3.0,t +35696,,,3.0,t +38386,,Russian Federation,1.0,t +3991,,France,1.0,f +4679,,,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +27740,100%,United Kingdom,6.0,t +27740,100%,United Kingdom,6.0,t +24111,75%,Nicaragua,1.0,f +29029,,Lebanon,1.0,t +1145,,,1.0,t +9618,100%,,1.0,f +37064,,Malta,1.0,t +37103,,Cocos (Keeling) Islands,1.0,f +37696,,Micronesia,1.0,t +2177,100%,,4.0,t +11870,100%,El Salvador,1.0,t +38012,,,1.0,t +19382,100%,,1.0,t +48716,,,3.0,f +16587,,Cocos (Keeling) Islands,2.0,f +40754,0%,,2.0,t +33699,100%,Palestinian Territory,1.0,f +9574,100%,,1.0,t +6569,,Holy See (Vatican City State),1.0,f +39901,55%,Ukraine,1.0,f +46,,Estonia,2.0,t +11616,100%,Uzbekistan,12.0,t +50056,100%,United Kingdom,1.0,f +17156,,Turkmenistan,1.0,t +41840,100%,Niue,1.0,f +7847,100%,Marshall Islands,2.0,t +6340,57%,Ukraine,1.0,t +32711,,Micronesia,1.0,t +27306,100%,Kiribati,2.0,f +12671,,,1.0,f +27445,80%,Holy See (Vatican City State),2.0,f +27445,80%,Holy See (Vatican City State),2.0,f +37510,100%,Zimbabwe,1.0,t +36980,100%,Niue,3.0,t +34176,,Mauritania,1.0,f +43152,100%,Nicaragua,82.0,t +47786,,,1.0,t +9304,,,, +14314,,Guinea,1.0,t +2222,67%,Malawi,1.0,t +40132,100%,Lebanon,1.0,t +30463,,,2.0,f +25596,100%,Maldives,1.0,t +35538,,Malawi,1.0,f +20411,100%,Pakistan,4.0,t +46459,,Rwanda,1.0,t +2287,100%,Sao Tome and Principe,1.0,f +38276,33%,Canada,2.0,t +30962,100%,Jersey,2.0,t +40626,93%,United Kingdom,5.0,t +143,,Bouvet Island (Bouvetoya),1.0,t +21478,,Malta,1.0,t +19815,,Chad,1.0,f +12318,,French Guiana,2.0,t +9619,,,1.0,f +25007,50%,Zimbabwe,1.0,t +26241,100%,Ecuador,2.0,t +30962,100%,Jersey,2.0,t +27972,94%,Brazil,27.0,f +27972,94%,Brazil,27.0,f +12148,,Bosnia and Herzegovina,2.0,t +1339,,El Salvador,1.0,f +44791,100%,Costa Rica,2.0,t +30955,,,1.0,f +4763,,Uruguay,2.0,f +21306,,Chile,1.0,t +20120,100%,Wallis and Futuna,10.0,f +12842,,,1.0,f +18241,100%,Fiji,2.0,f +36667,,Niue,1.0,f +43845,,,1.0,t +944,,Vietnam,7.0,t +2758,100%,,1.0,t +14453,100%,Malawi,1.0,t +34841,100%,Zimbabwe,22.0,t +23922,100%,Malta,1.0,f +32637,,Nauru,1.0,f +47369,100%,Marshall Islands,4.0,t +45590,100%,Turkmenistan,2.0,t +1916,,Tonga,1.0,f +37646,100%,Estonia,60.0,f +37646,100%,Estonia,60.0,f +37646,100%,Estonia,60.0,f +19614,100%,Tonga,5.0,t +37727,100%,Chad,1.0,t +16582,,Puerto Rico,1.0,t +33621,,Lebanon,1.0,t +13950,100%,Niue,3.0,f +39611,100%,Vanuatu,1.0,f +6621,100%,French Guiana,1.0,t +40075,93%,Denmark,2.0,t +15977,,Denmark,1.0,t +25080,,Uzbekistan,1.0,f +48455,89%,Uzbekistan,20.0,t +392,,,1.0,f +28153,,,1.0,f +27436,,Croatia,2.0,f +19400,100%,Gibraltar,7.0,f +10996,100%,Russian Federation,3.0,t +43152,100%,Nicaragua,82.0,t +43483,100%,,1.0,t +48455,89%,Uzbekistan,20.0,t +39415,,Kenya,5.0,t +1939,100%,Andorra,2.0,t +13568,,Guinea,1.0,f +43589,,Faroe Islands,2.0,t +14114,100%,Micronesia,3.0,t +12543,,Uzbekistan,3.0,t +31857,,,1.0,f +48548,,Denmark,1.0,f +34306,91%,Wallis and Futuna,30.0,t +34511,,Guinea,1.0,t +8088,100%,Marshall Islands,1.0,t +15908,100%,Guinea,2.0,t +6536,100%,Malta,3.0,t +31332,100%,Gambia,3.0,t +9273,100%,Tonga,1.0,t +5853,,Kiribati,1.0,t +41288,100%,Nicaragua,3.0,f +36665,100%,Tunisia,2.0,f +50043,100%,Monaco,1.0,t +39517,,Chad,1.0,f +20448,,,1.0,f +4997,100%,Jersey,6.0,f +38770,,Niue,1.0,f +9740,,,1.0,t +23412,0%,Gambia,1.0,t +3619,100%,Uzbekistan,2.0,t +33760,,Chad,1.0,t +11131,,Maldives,1.0,t +44989,100%,Mauritania,8.0,t +9507,25%,Sierra Leone,5.0,t +44934,100%,Philippines,17.0,f +9799,100%,,1.0,t +3480,100%,United Kingdom,2.0,f +32414,,Venezuela,1.0,t +35552,,Cape Verde,1.0,t +5555,100%,Denmark,11.0,t +6168,,Bouvet Island (Bouvetoya),14.0,t +27782,,Isle of Man,1.0,t +22571,,Venezuela,1.0,f +37746,100%,Malta,1.0,t +41348,,,1.0,f +37998,100%,Monaco,2.0,t +25355,100%,Puerto Rico,1.0,f +43531,,Nicaragua,1.0,t +23750,,Jersey,1.0,f +44935,,Russian Federation,1.0,f +16123,,Niue,1.0,f +588,100%,Marshall Islands,2.0,t +27489,100%,Canada,2.0,t +33057,,,1.0,f +45301,,China,1.0,t +23262,100%,Lebanon,1.0,t +24257,80%,,1.0,t +30114,96%,Djibouti,2.0,f +47972,67%,Sudan,6.0,t +44994,100%,France,1.0,f +31256,,Nicaragua,1.0,t +38412,0%,Afghanistan,1.0,f +588,100%,Marshall Islands,2.0,t +5263,92%,Sao Tome and Principe,1.0,t +548,100%,,3.0,f +39439,,Maldives,1.0,f +32687,90%,Fiji,1.0,t +1430,100%,,1.0,t +5578,,Croatia,1.0,t +10483,,Netherlands,2.0,t +36791,89%,Vietnam,1.0,t +50038,100%,Marshall Islands,4.0,t +1418,,Vanuatu,1.0,f +39388,0%,,2.0,t +35068,100%,France,3.0,t +26575,100%,Netherlands,2.0,f +18721,100%,Brazil,1.0,t +35916,100%,Malta,1.0,f +21356,,Kenya,1.0,t +23990,100%,Saint Helena,2.0,f +19954,100%,Uruguay,3.0,t +19651,100%,,1.0,f +27962,,Nauru,2.0,t +1035,,,1.0,t +31725,,Montserrat,2.0,t +43058,,France,1.0,f +45612,50%,,1.0,t +33352,,Nicaragua,1.0,f +43679,,Uganda,1.0,t +19614,100%,Tonga,5.0,t +19614,100%,Tonga,5.0,t +30463,,,2.0,f +45750,100%,,1.0,t +13222,,Netherlands,1.0,t +29227,,Gibraltar,3.0,f +35406,87%,Indonesia,3.0,f +20763,,Marshall Islands,2.0,t +6743,67%,,1.0,f +30785,100%,Jersey,1.0,t +33227,,,2.0,t +11309,,Somalia,1.0,f +23053,90%,,1.0,t +31126,50%,Micronesia,1.0,f +4373,,Denmark,1.0,t +34479,,Tonga,1.0,f +35746,,Russian Federation,1.0,t +18173,100%,Barbados,5.0,t +15464,,Bosnia and Herzegovina,1.0,t +1297,100%,,1.0,t +25052,64%,,5.0,t +19501,,Uzbekistan,1.0,t +35781,,,1.0,t +30160,,Niue,1.0,f +41316,,Ghana,3.0,f +20700,,Rwanda,1.0,f +25056,100%,Gibraltar,1.0,t +16798,100%,Saint Helena,2.0,t +27873,100%,Kenya,1.0,t +33329,,Holy See (Vatican City State),1.0,f +31365,,,1.0,f +16089,83%,Maldives,5.0,f +44956,100%,Gambia,3.0,t +10389,,Chad,1.0,f +28357,91%,Turkmenistan,1.0,t +16532,100%,Zimbabwe,1.0,t +33628,,Gambia,1.0,t +49398,88%,Barbados,18.0,t +40021,100%,,1.0,f +20326,,Barbados,1.0,t +2019,100%,Malta,7.0,f +28838,,,1.0,t +11237,,French Guiana,1.0,t +22806,100%,Faroe Islands,1.0,f +43475,,Kiribati,2.0,t +34841,100%,Zimbabwe,22.0,t +24575,,Portugal,1.0,f +11188,100%,Uzbekistan,2.0,t +29227,,Gibraltar,3.0,f +5555,100%,Denmark,11.0,t +6232,,Guinea,15.0,t +31803,,,1.0,t +13627,,,1.0,t +31887,,Rwanda,2.0,f +30360,0%,Moldova,1.0,f +13883,100%,Mauritania,1.0,t +11382,,Kenya,1.0,f +17100,,Isle of Man,1.0,f +49085,0%,United Kingdom,1.0,t +19729,,Mauritania,1.0,t +48412,,Croatia,1.0,t +11546,100%,Uzbekistan,1.0,t +1589,,,1.0,f +18768,100%,Libyan Arab Jamahiriya,2.0,f +37557,100%,Brazil,4.0,t +45421,100%,Niue,1.0,f +47754,0%,,1.0,f +38734,100%,,1.0,t +18806,100%,Vietnam,6.0,t +44626,90%,Niue,1.0,t +8940,,Christmas Island,1.0,f +11663,,Brazil,1.0,f +16583,,,1.0,t +37441,100%,Vietnam,12.0,t +3471,100%,,2.0,t +38265,100%,Montserrat,3.0,t +35195,,Faroe Islands,4.0,t +2971,100%,Ecuador,1.0,t +38265,100%,Montserrat,3.0,t +41100,100%,Croatia,2.0,t +30752,,Guinea,1.0,t +6235,80%,Niue,2.0,t +40210,100%,French Guiana,1.0,t +33965,,Andorra,1.0,t +35195,,Faroe Islands,4.0,t +33144,,Djibouti,3.0,t +22229,100%,Afghanistan,3.0,t +39722,,Indonesia,1.0,t +29894,,Guernsey,1.0,t +16214,,Russian Federation,1.0,t +38467,,,1.0,f +41752,,,1.0,f +3090,,,1.0,f +8484,100%,Monaco,17.0,t +40389,100%,Guinea,2.0,f +24990,100%,Anguilla,3.0,t +9935,,Gambia,1.0,t +2535,100%,France,2.0,t +35195,,Faroe Islands,4.0,t +34372,100%,Denmark,1.0,t +28134,,Guernsey,1.0,t +2019,100%,Malta,7.0,f +27570,,Estonia,1.0,t +13426,,,1.0,f +32860,100%,Holy See (Vatican City State),2.0,f +28882,100%,Tonga,1.0,f +22577,100%,Kiribati,1.0,t +17111,,Maldives,1.0,f +43977,,Bosnia and Herzegovina,1.0,t +38670,60%,,1.0,t +49201,71%,,1.0,t +40368,100%,,2.0,f +20971,100%,Montserrat,1.0,f +26992,100%,Netherlands,3.0,t +15858,33%,,1.0,f +6970,100%,Ukraine,2.0,f +34211,,Uzbekistan,2.0,t +22517,100%,Mexico,1.0,t +32582,83%,,3.0,f +9533,,Senegal,16.0,t +35710,,Turks and Caicos Islands,1.0,f +42970,,Isle of Man,1.0,f +6823,100%,Denmark,1.0,t +35313,100%,,2.0,f +49264,,Kiribati,4.0,t +49934,100%,Liberia,9.0,t +42074,,,1.0,t +32798,,French Guiana,1.0,f +14879,,,1.0,f +36447,100%,Russian Federation,1.0,t +43164,,,1.0,f +42417,100%,,3.0,t +31332,100%,Gambia,3.0,t +39163,,Russian Federation,1.0,f +42405,67%,Indonesia,3.0,f +40967,,,1.0,t +16299,,Chad,1.0,f +4576,100%,French Guiana,1.0,t +47805,,Malta,1.0,f +10235,,Reunion,1.0,t +38794,100%,Micronesia,2.0,t +22695,97%,Pakistan,6.0,t +30072,100%,Micronesia,1.0,t +22402,,China,3.0,t +14516,,Marshall Islands,1.0,f +4865,,Cocos (Keeling) Islands,1.0,f +36131,100%,Bouvet Island (Bouvetoya),6.0,f +16282,60%,Turkmenistan,9.0,t +19234,100%,,1.0,f +35765,,Croatia,1.0,f +46337,,Chad,2.0,t +12867,100%,Bosnia and Herzegovina,1.0,t +26644,,,1.0,f +27437,,Niue,1.0,t +40810,,Malawi,1.0,f +44668,,Guinea,1.0,f +16282,60%,Turkmenistan,9.0,t +16282,60%,Turkmenistan,9.0,t +39763,100%,France,1.0,t +16282,60%,Turkmenistan,9.0,t +16282,60%,Turkmenistan,9.0,t +2177,100%,,4.0,t +2177,100%,,4.0,t +7520,100%,Ukraine,15.0,t +16282,60%,Turkmenistan,9.0,t +48455,89%,Uzbekistan,20.0,t +25208,100%,,1.0,t +34369,,Malta,1.0,t +47643,100%,Holy See (Vatican City State),1.0,f +29048,,Lithuania,1.0,f +43457,100%,Croatia,1.0,t +39669,100%,Niue,5.0,t +73,,Svalbard & Jan Mayen Islands,1.0,t +33941,100%,Chad,2.0,t +24915,,Niue,1.0,f +17155,,,1.0,t +23637,,Zimbabwe,1.0,f +23387,100%,,2.0,t +23639,100%,El Salvador,2.0,f +29443,,Malawi,1.0,t +36253,100%,Nauru,21.0,t +27624,,,1.0,t +31074,100%,Malta,4.0,t +37295,,United Kingdom,1.0,f +1956,100%,,1.0,t +692,,Turks and Caicos Islands,1.0,f +47862,100%,Nicaragua,1.0,t +33980,100%,Lithuania,2.0,t +17899,100%,United Kingdom,2.0,t +46050,100%,Venezuela,1.0,f +11165,100%,Jersey,1.0,t +30202,100%,Svalbard & Jan Mayen Islands,1.0,t +8584,100%,Costa Rica,7.0,t +24355,67%,Micronesia,1.0,t +41543,,Uzbekistan,1.0,f +31824,100%,Madagascar,2.0,t +988,,Uruguay,1.0,t +3626,,,1.0,f +21406,,,1.0,t +42068,,Estonia,2.0,f +10460,100%,Malta,1.0,f +45693,100%,Lebanon,1.0,t +16681,100%,,1.0,f +44154,,Lebanon,1.0,f +32003,100%,Brazil,5.0,f +5199,100%,Suriname,1.0,f +23990,100%,Saint Helena,2.0,f +4604,83%,Niue,3.0,f +45919,100%,Montserrat,9.0,t +20751,100%,Lithuania,2.0,f +3223,100%,Kenya,1.0,t +15137,100%,Marshall Islands,10.0,t +41474,,Turkmenistan,2.0,t +24851,100%,Isle of Man,1.0,t +30047,100%,Isle of Man,1.0,t +30550,,,1.0,f +2660,,Uzbekistan,2.0,f +33271,,Mauritania,1.0,t +6766,,Kenya,1.0,f +812,100%,Uganda,1.0,f +1928,100%,Nicaragua,1.0,t +34099,100%,Micronesia,1.0,t +28853,,Micronesia,1.0,f +15423,,Zimbabwe,1.0,t +19565,,French Guiana,1.0,t +10244,100%,Philippines,10.0,f +32397,100%,Australia,1.0,f +25375,,,1.0,f +41832,78%,United Kingdom,1.0,f +14953,100%,Bouvet Island (Bouvetoya),4.0,t +2218,,,1.0,t +30408,100%,,1.0,t +37118,,,1.0,t +14160,90%,Slovakia (Slovak Republic),4.0,t +42968,,Afghanistan,1.0,f +31239,100%,Mauritania,1.0,f +48186,100%,,1.0,t +26293,,,3.0,f +36868,100%,Chile,1.0,t +7772,100%,,1.0,f +18577,100%,Kenya,1.0,f +3593,100%,Rwanda,1.0,t +7181,,Russian Federation,1.0,f +11558,,France,2.0,t +36253,100%,Nauru,21.0,t +17749,100%,Afghanistan,1.0,t +17272,,,1.0,f +32291,,El Salvador,1.0,f +11255,93%,Suriname,41.0,f +49264,,Kiribati,4.0,t +36217,90%,Monaco,1.0,t +778,100%,Liechtenstein,11.0,t +9798,,Mauritania,2.0,t +26380,100%,Uzbekistan,2.0,f +43959,100%,Tunisia,3.0,t +39390,100%,Bosnia and Herzegovina,1.0,t +36184,,,1.0,t +16939,,Senegal,11.0,t +9766,,Maldives,2.0,t +4377,,,1.0,t +17204,,,1.0,t +39018,,Lebanon,1.0,t +17346,,Gambia,1.0,t +25325,60%,,1.0,t +11766,,Faroe Islands,1.0,f +26617,100%,Barbados,1.0,f +10707,100%,Somalia,3.0,t +11255,93%,Suriname,41.0,f +11255,93%,Suriname,41.0,f +13571,100%,,1.0,t +19862,100%,Spain,1.0,t +43376,,Russian Federation,1.0,t +31141,,Niger,1.0,t +46206,,Monaco,1.0,t +42475,100%,Malta,2.0,t +48343,,Canada,1.0,f +23206,,Guernsey,1.0,t +16939,,Senegal,11.0,t +16939,,Senegal,11.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +7310,,Uruguay,1.0,t +38626,,Micronesia,1.0,f +32523,,Uganda,1.0,f +16205,,Marshall Islands,1.0,t +24030,,Isle of Man,1.0,t +14832,100%,Vanuatu,1.0,f +16939,,Senegal,11.0,t +28543,,,1.0,t +25501,,Niue,1.0,t +31525,50%,,1.0,t +16939,,Senegal,11.0,t +8142,100%,Gambia,4.0,t +24762,100%,,2.0,t +24129,100%,Nicaragua,2.0,f +23448,,Vanuatu,1.0,t +17658,,Gibraltar,1.0,t +30434,100%,Lebanon,1.0,t +5237,,Cocos (Keeling) Islands,1.0,f +22170,,,1.0,t +1237,,Congo,1.0,t +25288,50%,Tanzania,1.0,f +9945,100%,Maldives,2.0,t +45034,,Isle of Man,1.0,t +3970,40%,,2.0,f +4977,100%,Somalia,2.0,f +9942,,Vanuatu,1.0,t +19494,,Sao Tome and Principe,3.0,t +1209,,Maldives,1.0,t +9886,,Reunion,1.0,t +12715,100%,Estonia,29.0,f +5617,,Finland,1.0,f +10992,,Togo,2.0,t +27503,,Lebanon,1.0,t +1527,,,1.0,t +23342,100%,,1.0,t +36432,,Kenya,1.0,t +35951,,Holy See (Vatican City State),1.0,f +48086,,Guinea,1.0,t +28425,100%,Guinea,3.0,t +29120,,Brazil,1.0,f +4899,,Mauritania,1.0,t +1970,,Isle of Man,1.0,t +46654,100%,Tunisia,1.0,t +30464,,,1.0,t +43622,,Maldives,1.0,f +47526,,Croatia,3.0,f +39660,,Anguilla,1.0,f +5566,100%,Russian Federation,1.0,t +33295,,Tonga,2.0,t +29728,,Uruguay,1.0,f +43770,,Rwanda,1.0,t +23094,,Canada,1.0,f +16264,,,1.0,t +32913,,,1.0,t +1726,93%,Isle of Man,9.0,t +20586,,Niue,1.0,t +15897,100%,,1.0,f +34716,,,1.0,f +36364,,Uruguay,1.0,f +31684,,Niue,1.0,t +15748,,French Guiana,1.0,t +36663,,Ghana,5.0,t +39857,100%,Cocos (Keeling) Islands,1.0,t +1876,,Palestinian Territory,1.0,t +7128,,Tanzania,1.0,f +1689,,,1.0,t +10644,,Guernsey,4.0,t +34894,,Russian Federation,1.0,t +39057,100%,Jersey,2.0,t +26552,,Croatia,1.0,t +21273,80%,Marshall Islands,2.0,t +32063,100%,Niue,2.0,t +23853,,,1.0,t +2566,100%,,1.0,t +22522,100%,France,3.0,t +31209,,,1.0,t +42558,,Russian Federation,1.0,f +9917,,Maldives,1.0,t +46682,,Philippines,3.0,f +40062,100%,Micronesia,2.0,f +28550,,Ecuador,1.0,t +40626,93%,United Kingdom,5.0,t +15018,,,1.0,t +43152,100%,Nicaragua,82.0,t +2019,100%,Malta,7.0,f +47397,,Nauru,1.0,t +21952,100%,Marshall Islands,1.0,t +10608,100%,Monaco,1.0,f +37124,60%,Uzbekistan,1.0,f +42477,90%,Micronesia,2.0,f +918,,,1.0,t +16198,0%,Sao Tome and Principe,1.0,t +34335,100%,Jersey,2.0,t +18693,,,1.0,f +7107,100%,Suriname,4.0,t +25264,,Kenya,1.0,t +9930,,French Guiana,1.0,t +29174,,Saint Helena,1.0,f +28706,,Chad,1.0,t +4915,100%,Russian Federation,1.0,f +34074,,Faroe Islands,2.0,t +689,,Holy See (Vatican City State),1.0,t +6062,100%,Tonga,2.0,t +20247,,Lebanon,1.0,t +19183,,,2.0,t +39870,,Slovakia (Slovak Republic),21.0,t +1058,,Brazil,1.0,t +18846,,Niue,1.0,f +38320,,Costa Rica,2.0,t +29348,,Maldives,1.0,t +29770,100%,Philippines,1.0,t +31260,,,1.0,f +18027,,,1.0,t +19943,63%,Isle of Man,34.0,f +22544,100%,Holy See (Vatican City State),6.0,t +28556,67%,Rwanda,1.0,t +45553,90%,Brazil,16.0,t +14850,,Niue,1.0,f +22460,,China,1.0,t +33701,,Chile,1.0,t +35995,100%,Libyan Arab Jamahiriya,1.0,t +31786,100%,Barbados,2.0,t +26065,,Kenya,1.0,f +3738,,Zimbabwe,1.0,f +7029,,Brazil,1.0,t +32860,100%,Holy See (Vatican City State),2.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +734,,Lebanon,1.0,t +44627,100%,Cocos (Keeling) Islands,1.0,f +17810,,Rwanda,1.0,t +29845,,Nauru,1.0,t +20693,,Cuba,1.0,f +1736,,Chile,1.0,t +36958,100%,Papua New Guinea,2.0,t +20751,100%,Lithuania,2.0,f +32358,,France,1.0,t +35240,100%,Puerto Rico,4.0,f +8313,,,1.0,t +17665,,,1.0,t +28425,100%,Guinea,3.0,t +27117,100%,,1.0,t +49189,100%,Turks and Caicos Islands,3.0,f +26070,100%,Holy See (Vatican City State),6.0,t +26077,,Mexico,1.0,t +45553,90%,Brazil,16.0,t +47080,100%,Faroe Islands,1.0,t +44097,100%,Solomon Islands,4.0,f +12386,,,1.0,t +11624,,Venezuela,1.0,f +38418,,Isle of Man,1.0,t +19068,,Rwanda,1.0,t +616,100%,Russian Federation,1.0,t +26486,,Croatia,1.0,t +37966,0%,Russian Federation,1.0,f +28231,,,1.0,t +33500,,Tonga,1.0,t +47796,,Bouvet Island (Bouvetoya),1.0,t +10500,,,1.0,f +1051,,Lebanon,1.0,f +46732,33%,Faroe Islands,1.0,f +11749,100%,Isle of Man,1.0,t +50072,100%,Marshall Islands,3.0,t +37264,100%,Croatia,1.0,t +19471,,,1.0,t +30910,,,1.0,t +19681,,,2.0,t +27296,,Vanuatu,1.0,f +17309,,Niue,1.0,t +33427,100%,Switzerland,5.0,t +38964,,Marshall Islands,1.0,t +47332,100%,Netherlands Antilles,1.0,t +15386,,Malta,1.0,f +25359,,,1.0,t +34097,,Malta,1.0,t +25428,,Cook Islands,2.0,f +7547,,,1.0,t +43325,,,1.0,t +45046,,Tunisia,1.0,t +42122,,French Guiana,1.0,t +26297,,Tonga,1.0,f +13241,,Niue,1.0,t +17215,97%,Maldives,9.0,f +17818,100%,Montserrat,2.0,t +30877,80%,Holy See (Vatican City State),2.0,t +12715,100%,Estonia,29.0,f +25104,,,1.0,t +1337,0%,Micronesia,1.0,f +12267,,,1.0,t +34581,,Uzbekistan,1.0,f +11734,100%,,3.0,t +16581,,Guinea,1.0,t +29445,100%,Faroe Islands,4.0,t +29445,100%,Faroe Islands,4.0,t +18790,100%,Indonesia,4.0,f +14028,60%,Guinea,1.0,f +44456,60%,,5.0,t +47263,100%,Russian Federation,1.0,f +9052,,Gambia,1.0,f +36253,100%,Nauru,21.0,t +24339,,,1.0,t +45315,100%,Lebanon,1.0,t +22689,,Croatia,1.0,t +24414,,Nicaragua,1.0,f +28356,,Denmark,1.0,t +16187,,Djibouti,1.0,f +30669,,Niue,1.0,f +27547,,,1.0,t +39850,,,1.0,t +29952,,Zimbabwe,1.0,t +21818,100%,Malta,1.0,f +36038,,Malta,1.0,f +26753,100%,Sao Tome and Principe,1.0,f +17052,,Brazil,1.0,f +16489,100%,Russian Federation,42.0,t +27627,,Peru,1.0,t +30837,100%,,1.0,f +13570,,Turkmenistan,1.0,f +39367,,Chad,1.0,t +25772,100%,Costa Rica,2.0,t +25037,,,1.0,t +1704,,,1.0,t +38214,100%,,1.0,f +7215,,Russian Federation,1.0,t +19521,100%,United Kingdom,3.0,t +6557,,,1.0,f +41703,100%,Nicaragua,1.0,t +5752,,,1.0,t +49564,,Gambia,1.0,t +13622,,Uzbekistan,1.0,f +10638,,French Guiana,1.0,t +22238,100%,Costa Rica,1.0,f +15365,100%,Faroe Islands,3.0,t +41736,,Turkmenistan,1.0,f +13805,,Ecuador,2.0,t +28205,,Iraq,22.0,f +29021,,French Guiana,3.0,t +40160,100%,Faroe Islands,2.0,f +36927,,Chad,1.0,f +16957,,Monaco,2.0,f +82,,French Guiana,1.0,t +40626,93%,United Kingdom,5.0,t +27384,100%,,1.0,f +7579,,Tanzania,1.0,t +42561,,,1.0,f +42886,,Maldives,1.0,f +6075,,,1.0,f +12921,,,1.0,f +4721,,,1.0,t +19391,,Gibraltar,1.0,t +18790,100%,Indonesia,4.0,f +5332,82%,,5.0,t +47290,100%,,2.0,t +28792,100%,Senegal,2.0,t +47290,100%,,2.0,t +33954,,Marshall Islands,1.0,t +2668,,Isle of Man,1.0,f +23521,,Kenya,1.0,f +1562,,,1.0,f +31433,100%,,1.0,t +2953,100%,Palestinian Territory,1.0,t +36944,,Niue,1.0,t +38307,67%,Svalbard & Jan Mayen Islands,1.0,t +25197,100%,Nicaragua,4.0,f +37700,,Croatia,1.0,t +37182,,,2.0,f +10222,100%,,4.0,t +28239,100%,,1.0,t +3263,,Ecuador,1.0,f +6577,,Philippines,1.0,f +14981,,,1.0,f +10562,100%,Zimbabwe,3.0,f +48455,89%,Uzbekistan,20.0,t +36757,,Gambia,1.0,f +25060,100%,Marshall Islands,1.0,f +41565,,,2.0,t +27327,,,1.0,t +33605,100%,Zimbabwe,1.0,t +47807,100%,Lithuania,1.0,f +44382,,Chad,1.0,f +47960,,Marshall Islands,1.0,t +44982,50%,Isle of Man,2.0,t +16260,100%,United Kingdom,4.0,t +45458,100%,,3.0,f +23885,,,1.0,f +7321,,Papua New Guinea,1.0,f +21234,,Sao Tome and Principe,1.0,t +86,,Niue,1.0,t +39415,,Kenya,5.0,t +2767,,Chile,1.0,f +25316,,Guernsey,2.0,f +9283,,,1.0,t +22606,,Chile,2.0,t +22606,,Chile,2.0,t +3061,,Libyan Arab Jamahiriya,2.0,t +18857,,Anguilla,1.0,f +41342,100%,,2.0,f +38956,,Tonga,1.0,f +2498,,United Kingdom,1.0,f +18194,,Senegal,1.0,f +30546,100%,,1.0,f +6336,,,1.0,f +19329,,Tonga,1.0,t +33403,,Niue,1.0,f +25051,100%,Bahrain,1.0,t +40621,,Guinea,1.0,f +28205,,Iraq,22.0,f +16063,,Lebanon,1.0,t +13390,,Turkmenistan,1.0,t +39415,,Kenya,5.0,t +14518,,,1.0,f +10134,100%,Uzbekistan,7.0,t +10290,,,1.0,f +2236,,Anguilla,1.0,f +15601,,Isle of Man,1.0,f +44200,,Uzbekistan,1.0,t +32694,,,1.0,t +30818,,Gambia,1.0,t +28250,,Nicaragua,1.0,t +37634,,Uzbekistan,1.0,t +1424,,Jersey,1.0,t +3457,,United Kingdom,1.0,f +44607,,Niue,1.0,t +1247,,Chile,1.0,t +48697,100%,Niue,1.0,t +5771,98%,Vietnam,8.0,f +19146,100%,,2.0,f +20960,,Turkmenistan,1.0,t +46378,,Mauritania,3.0,t +28347,,Guinea,1.0,f +30153,100%,Anguilla,1.0,t +6071,,Malawi,1.0,t +12061,83%,,2.0,t +5117,33%,Chile,2.0,t +38798,,,1.0,t +2372,,Faroe Islands,1.0,t +23034,99%,Monaco,54.0,f +41133,100%,,2.0,f +44449,100%,El Salvador,2.0,t +41215,,Sao Tome and Principe,1.0,f +12903,,Mexico,1.0,f +19193,,El Salvador,1.0,t +40911,,,1.0,f +36214,100%,,1.0,f +28325,,Niue,1.0,t +35549,,,1.0,t +1930,,,1.0,f +33244,,China,1.0,t +39328,,Sao Tome and Principe,3.0,t +22541,,Marshall Islands,2.0,t +11087,100%,Indonesia,2.0,t +28828,100%,Isle of Man,198.0,t +23948,100%,,2.0,t +43210,,Brazil,1.0,f +2622,,,1.0,t +24888,100%,Estonia,1.0,t +11997,100%,Mauritania,2.0,t +45113,,,1.0,t +48366,100%,Marshall Islands,1.0,f +3415,,Guinea,2.0,t +9407,,Faroe Islands,1.0,f +21415,100%,Turkmenistan,2.0,t +16260,100%,United Kingdom,4.0,t +19085,33%,,1.0,t +45966,,Moldova,1.0,t +20334,99%,Niger,171.0,t +21403,95%,Vietnam,8.0,f +36756,,Indonesia,2.0,t +46263,100%,Nauru,3.0,f +35252,,,1.0,f +9256,,Ghana,1.0,f +9427,100%,Marshall Islands,3.0,f +4318,,Turks and Caicos Islands,1.0,f +14046,100%,Malta,1.0,t +29852,,,1.0,t +4375,,,1.0,t +10033,,Ghana,1.0,t +28828,100%,Isle of Man,198.0,t +18579,,Vietnam,1.0,t +20874,,,1.0,t +25246,100%,Malta,1.0,f +12910,,Maldives,1.0,t +4997,100%,Jersey,6.0,f +29719,,Kiribati,1.0,f +11842,100%,Turks and Caicos Islands,2.0,t +9697,,Turks and Caicos Islands,1.0,t +44262,100%,,1.0,t +5227,100%,Gambia,1.0,f +20419,100%,,1.0,f +24057,,Lithuania,1.0,t +19972,100%,Finland,1.0,t +26387,100%,Isle of Man,6.0,t +7783,,Gambia,1.0,t +49263,90%,Micronesia,3.0,t +939,,Guernsey,1.0,t +16373,100%,Guinea,2.0,t +45871,,,1.0,f +18099,100%,,1.0,t +18956,,Chile,3.0,t +14200,,Maldives,1.0,t +17631,,Peru,1.0,t +46578,100%,Lebanon,6.0,t +38533,,Chile,1.0,t +24523,100%,Puerto Rico,2.0,t +50065,,Brazil,1.0,f +35848,,,1.0,f +33104,,,2.0,t +19119,,,1.0,f +10093,,Russian Federation,1.0,t +47151,80%,,3.0,f +3376,,Nicaragua,8.0,t +37330,100%,French Guiana,1.0,f +12515,,Rwanda,1.0,t +26487,,Isle of Man,2.0,t +48450,100%,Cape Verde,2.0,t +46691,90%,Uzbekistan,38.0,f +34023,100%,Guinea,1.0,t +36238,,,2.0,t +43592,,,1.0,t +22013,100%,Micronesia,4.0,f +6833,,Jersey,1.0,f +25647,,,2.0,t +15802,,Malta,2.0,f +17203,,,1.0,f +11325,0%,Tonga,18.0,f +30685,100%,,1.0,f +33813,100%,Svalbard & Jan Mayen Islands,1.0,t +426,,Faroe Islands,1.0,f +8442,100%,Tunisia,2.0,t +2697,,Svalbard & Jan Mayen Islands,1.0,f +35270,,,2.0,f +22576,,Gambia,1.0,t +16893,100%,Guinea,1.0,t +25062,,,1.0,t +38518,,French Guiana,1.0,t +47157,100%,Niue,1.0,f +38136,,Chad,4.0,f +6959,95%,Slovakia (Slovak Republic),20.0,t +3543,100%,Slovakia (Slovak Republic),4.0,t +47926,,Chad,2.0,f +49143,,Marshall Islands,1.0,t +43986,,,1.0,f +1708,,Monaco,1.0,t +45977,100%,,2.0,f +19943,63%,Isle of Man,34.0,f +43629,70%,Malawi,3.0,f +35454,100%,China,9.0,f +43732,100%,Niue,2.0,t +30512,100%,,4.0,t +30512,100%,,4.0,t +1289,,Uganda,1.0,f +20111,0%,,1.0,f +9891,,,1.0,f +48193,,Micronesia,1.0,t +37704,96%,Fiji,26.0,f +37704,96%,Fiji,26.0,f +41565,,,2.0,t +7578,67%,Denmark,1.0,t +5556,,Tonga,1.0,f +12414,,,1.0,t +25898,,,1.0,t +5077,100%,,2.0,t +22258,,Kenya,2.0,t +22493,,Guinea,1.0,t +46263,100%,Nauru,3.0,f +17895,100%,Holy See (Vatican City State),1.0,t +7987,100%,Chad,2.0,t +3376,,Nicaragua,8.0,t +16213,,,1.0,t +15765,,Zimbabwe,1.0,t +3375,50%,Uzbekistan,2.0,t +30877,80%,Holy See (Vatican City State),2.0,t +2524,100%,Costa Rica,4.0,t +8652,100%,Malawi,2.0,f +32029,100%,Saint Helena,2.0,t +13588,,Isle of Man,1.0,t +42063,,Ecuador,1.0,t +48334,100%,Guinea,12.0,f +48334,100%,Guinea,12.0,f +24999,100%,France,6.0,f +38817,100%,France,4.0,t +42194,,,1.0,t +5691,,,1.0,f +14136,100%,Guinea,1.0,f +48042,,,1.0,f +26377,,Tonga,1.0,f +34313,,Marshall Islands,1.0,f +38803,100%,,1.0,t +33972,100%,Guinea,1.0,f +42136,100%,Vanuatu,2.0,t +39975,100%,,1.0,f +23170,100%,Sao Tome and Principe,2.0,t +15463,,Russian Federation,1.0,f +13313,,,1.0,t +16631,,,1.0,t +47651,90%,Libyan Arab Jamahiriya,1.0,t +43349,,Costa Rica,1.0,t +22910,100%,Gambia,1.0,t +9168,,Monaco,1.0,t +9480,,,1.0,f +24348,,Russian Federation,1.0,t +5976,78%,Libyan Arab Jamahiriya,1.0,f +13138,100%,Faroe Islands,2.0,t +21875,,Guinea,1.0,t +44956,100%,Gambia,3.0,t +7809,100%,Tonga,1.0,t +122,50%,Cuba,1.0,t +48128,,Monaco,1.0,f +6255,100%,,1.0,t +2335,100%,Maldives,1.0,t +16012,0%,,1.0,t +1395,,Chile,1.0,t +7794,100%,Bouvet Island (Bouvetoya),1.0,t +16810,100%,Jersey,1.0,t +17690,,Isle of Man,1.0,t +49360,100%,,1.0,t +11255,93%,Suriname,41.0,f +47177,40%,United Kingdom,1.0,t +42276,,Guernsey,1.0,t +39277,,Russian Federation,1.0,t +1191,98%,,12.0,t +15566,,,1.0,f +6144,100%,Kiribati,2.0,t +35164,,Chad,1.0,f +5863,,Turks and Caicos Islands,1.0,f +3663,56%,,1.0,f +6210,,,1.0,t +40477,,Gambia,1.0,t +3987,100%,Andorra,1.0,t +262,97%,Maldives,16.0,t +262,97%,Maldives,16.0,t +262,97%,Maldives,16.0,t +42978,,Uganda,1.0,t +37883,95%,United Kingdom,3.0,f +44160,,,1.0,f +18635,100%,Tonga,2.0,t +20334,99%,Niger,171.0,t +14961,,Isle of Man,1.0,f +855,100%,Russian Federation,2.0,t +6290,,Barbados,1.0,f +27583,,Brazil,1.0,t +46578,100%,Lebanon,6.0,t +35282,,Gambia,1.0,f +38336,,Isle of Man,1.0,t +5139,,Russian Federation,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +49010,,,2.0,t +6838,96%,Spain,59.0,t +8306,,Faroe Islands,1.0,t +28605,,Croatia,1.0,f +5389,,Niger,2.0,t +26437,,Kiribati,1.0,t +45553,90%,Brazil,16.0,t +16892,100%,Rwanda,1.0,t +10286,,,2.0,f +3667,,Turkmenistan,1.0,t +39602,100%,Gambia,2.0,t +31032,,,2.0,t +44878,,Marshall Islands,1.0,t +4695,,,1.0,t +34282,100%,Philippines,1.0,t +19196,100%,Monaco,2.0,t +39670,,Nauru,1.0,f +8439,97%,Rwanda,17.0,t +41087,,,1.0,f +29822,90%,Brazil,11.0,t +29822,90%,Brazil,11.0,t +49388,100%,Vietnam,4.0,t +4175,100%,Gambia,2.0,t +5591,99%,Indonesia,16.0,t +43286,,Fiji,8.0,t +29822,90%,Brazil,11.0,t +43286,,Fiji,8.0,t +43286,,Fiji,8.0,t +40289,,Niue,1.0,t +28398,100%,El Salvador,7.0,t +41895,,Chad,1.0,t +28398,100%,El Salvador,7.0,t +28398,100%,El Salvador,7.0,t +28398,100%,El Salvador,7.0,t +29822,90%,Brazil,11.0,t +28398,100%,El Salvador,7.0,t +29822,90%,Brazil,11.0,t +16294,,Libyan Arab Jamahiriya,2.0,f +29822,90%,Brazil,11.0,t +29822,90%,Brazil,11.0,t +29822,90%,Brazil,11.0,t +32682,90%,Tunisia,1.0,t +8641,,Tonga,1.0,f +6421,100%,Micronesia,2.0,t +2827,,Jersey,1.0,t +32220,100%,Holy See (Vatican City State),2.0,f +45069,100%,,1.0,t +39011,,Chad,1.0,f +4234,100%,Malawi,1.0,t +15555,,Gibraltar,1.0,t +15082,,Croatia,1.0,f +12517,,Lebanon,3.0,t +21711,,Estonia,1.0,f +28747,100%,,5.0,t +202,,Niue,1.0,f +16492,67%,Marshall Islands,1.0,f +14062,100%,,1.0,f +47840,,Somalia,1.0,t +30512,100%,,4.0,t +17688,100%,Sao Tome and Principe,2.0,t +35341,,Mauritania,1.0,t +3165,100%,Gibraltar,1.0,f +31419,70%,Zimbabwe,1.0,f +49651,,Marshall Islands,1.0,t +11087,100%,Indonesia,2.0,t +26847,,Saint Helena,2.0,t +28205,,Iraq,22.0,f +8649,,Croatia,1.0,f +47764,,Nicaragua,1.0,f +28747,100%,,5.0,t +1275,,Faroe Islands,1.0,t +46150,,,2.0,f +44545,83%,Peru,1.0,t +22843,0%,,1.0,t +13166,,Ecuador,1.0,t +37555,,,1.0,t +28591,,Marshall Islands,1.0,f +5511,100%,Grenada,1.0,f +1033,,,2.0,t +2899,,,1.0,t +7520,100%,Ukraine,15.0,t +4216,,Cuba,9.0,t +18956,,Chile,3.0,t +34306,91%,Wallis and Futuna,30.0,t +15080,100%,Venezuela,3.0,f +5327,100%,Togo,5.0,t +29227,,Gibraltar,3.0,f +38716,,Estonia,1.0,f +28554,100%,Anguilla,2.0,t +29388,,Kiribati,1.0,f +13512,,Niue,1.0,t +44182,,Sao Tome and Principe,2.0,t +39165,100%,Bouvet Island (Bouvetoya),2.0,t +31001,100%,,5.0,t +25766,75%,Chile,1.0,t +31483,,Uganda,1.0,f +19279,,Monaco,2.0,f +47151,80%,,3.0,f +24221,100%,Guinea,1.0,t +38211,100%,Maldives,4.0,t +42078,,French Guiana,1.0,f +25123,100%,Papua New Guinea,1.0,t +49407,,Mauritania,1.0,t +28943,,Isle of Man,1.0,t +15544,,Lebanon,1.0,t +34264,100%,Sao Tome and Principe,1.0,f +8446,100%,,4.0,t +28644,,Anguilla,1.0,f +7433,,Guinea,1.0,t +16447,100%,Brazil,2.0,t +31328,100%,,17.0,t +18956,,Chile,3.0,t +15634,,Russian Federation,1.0,f +16203,,,1.0,t +4907,100%,Lebanon,2.0,t +43274,,France,1.0,t +49810,,Mauritania,1.0,t +6700,100%,Guinea,7.0,f +17911,,Sao Tome and Principe,1.0,f +45175,,Chad,1.0,t +4555,,Mauritania,1.0,t +48972,,Marshall Islands,1.0,f +4907,100%,Lebanon,2.0,t +39488,,,1.0,t +5600,100%,Uzbekistan,1.0,t +6421,100%,Micronesia,2.0,t +30249,100%,,1.0,t +27097,,,1.0,f +18443,,,1.0,t +34841,100%,Zimbabwe,22.0,t +1544,100%,Guernsey,1.0,f +36285,100%,Isle of Man,2.0,t +29507,100%,Russian Federation,2.0,t +12168,50%,Anguilla,1.0,f +6367,,France,1.0,f +21377,100%,French Guiana,4.0,t +32696,,Niue,1.0,f +34971,,Faroe Islands,1.0,f +35337,100%,Nicaragua,1.0,f +21377,100%,French Guiana,4.0,t +5643,,Tonga,1.0,t +15011,,Lebanon,1.0,t +30507,100%,Marshall Islands,1.0,t +30944,,,1.0,f +32850,,Uganda,1.0,f +32313,100%,Lebanon,1.0,t +21377,100%,French Guiana,4.0,t +29121,,Kenya,2.0,t +13875,,Isle of Man,1.0,f +31934,100%,,1.0,f +446,100%,,1.0,t +13066,,French Guiana,1.0,t +35783,,Afghanistan,1.0,f +36743,,Gambia,1.0,t +48201,,Anguilla,1.0,f +45880,,,1.0,t +30874,,Mexico,1.0,t +4216,,Cuba,9.0,t +24369,,Sao Tome and Principe,2.0,t +43529,100%,,3.0,t +7679,100%,Niger,4.0,t +8472,67%,,2.0,t +41670,,Somalia,1.0,t +1585,,Bosnia and Herzegovina,2.0,f +32967,,,1.0,f +37969,80%,Indonesia,3.0,f +41859,100%,Finland,2.0,f +33566,,Kenya,1.0,t +24369,,Sao Tome and Principe,2.0,t +2572,,,1.0,t +34051,,France,1.0,t +4454,100%,Gambia,1.0,t +33919,,,2.0,t +18713,,,1.0,t +44470,,Chad,1.0,t +17215,97%,Maldives,9.0,f +1785,100%,Libyan Arab Jamahiriya,1.0,t +5034,100%,Rwanda,1.0,f +35662,,Jersey,1.0,f +19964,100%,Reunion,1.0,f +15440,,Zimbabwe,1.0,t +15539,,Venezuela,1.0,f +42994,100%,Marshall Islands,1.0,f +14708,,Nicaragua,1.0,f +43925,,,1.0,t +41288,100%,Nicaragua,3.0,f +37644,100%,Mauritania,1.0,t +26678,,,1.0,t +42526,100%,Niue,1.0,t +17215,97%,Maldives,9.0,f +45925,,Kenya,1.0,t +49049,50%,Nauru,1.0,f +19524,100%,,1.0,f +46757,,Maldives,1.0,t +43254,,Turkmenistan,1.0,t +20169,100%,Niue,2.0,f +42321,,,1.0,t +8472,67%,,2.0,t +36909,100%,Brazil,4.0,t +17326,70%,Croatia,2.0,f +5277,100%,Vietnam,10.0,f +22794,50%,Cape Verde,36.0,t +27346,,,1.0,t +28554,100%,Anguilla,2.0,t +12328,100%,Uzbekistan,1.0,f +18608,100%,Jersey,4.0,t +18608,100%,Jersey,4.0,t +18608,100%,Jersey,4.0,t +3211,,Guinea,1.0,t +16854,100%,El Salvador,2.0,t +6233,80%,Pakistan,3.0,f +907,100%,,1.0,f +24062,,Estonia,1.0,f +40516,,Niue,1.0,t +47118,,Cape Verde,1.0,f +21017,,Barbados,1.0,f +38545,,Kiribati,1.0,t +44903,,Chad,1.0,f +20589,,Philippines,1.0,t +33914,100%,Zimbabwe,2.0,t +20189,100%,Niger,4.0,f +40396,,Russian Federation,1.0,f +29620,0%,,1.0,t +42730,100%,Greenland,3.0,t +11992,,Denmark,1.0,f +21784,,Kiribati,1.0,t +13025,,,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +18945,,Nicaragua,1.0,f +6345,,,1.0,f +46933,100%,Croatia,1.0,t +13824,100%,Turks and Caicos Islands,2.0,f +10162,,,1.0,f +29501,90%,Gibraltar,2.0,t +49004,,,1.0,t +4644,,,1.0,f +18515,,,1.0,t +6879,90%,Papua New Guinea,1.0,f +18712,95%,Turks and Caicos Islands,11.0,t +19262,,Sao Tome and Principe,1.0,f +19931,,,1.0,t +19642,,,1.0,t +12542,98%,Mauritania,19.0,t +15148,,,1.0,f +2373,,Puerto Rico,1.0,t +24833,,Uzbekistan,1.0,f +40649,100%,Niue,1.0,f +41280,100%,French Guiana,2.0,t +42030,80%,Niue,1.0,f +39697,100%,Brazil,1.0,f +20307,,Niue,1.0,f +11053,70%,French Polynesia,1.0,t +43514,,Kenya,1.0,t +23519,,Russian Federation,1.0,t +7010,,Canada,1.0,f +20050,100%,Chile,1.0,t +30686,,Tonga,1.0,t +47422,99%,Uzbekistan,30.0,f +45553,90%,Brazil,16.0,t +18511,,Palestinian Territory,1.0,f +1056,,Micronesia,1.0,f +33181,100%,,1.0,f +25616,100%,,1.0,t +1471,100%,,1.0,t +31745,100%,Monaco,5.0,t +36218,,,1.0,f +851,,,1.0,t +2164,82%,Rwanda,5.0,t +3707,,,3.0,f +12391,,Zimbabwe,1.0,f +46263,100%,Nauru,3.0,f +40765,100%,,1.0,f +45505,90%,,1.0,f +12672,,,1.0,f +6003,,,1.0,f +29568,80%,,1.0,f +40182,100%,Brunei Darussalam,2.0,f +27068,,Malta,1.0,f +14655,100%,Niue,1.0,f +28538,100%,Russian Federation,1.0,t +23596,,Malta,1.0,f +8960,,,2.0,t +28313,,,1.0,t +28019,,Zimbabwe,1.0,t +31794,86%,Anguilla,1.0,f +32840,,Estonia,1.0,f +40495,,Qatar,8.0,f +9321,70%,Togo,1.0,f +14578,,Bosnia and Herzegovina,1.0,f +6527,,Mauritania,1.0,t +2928,100%,Marshall Islands,3.0,t +14962,100%,Niue,1.0,t +5317,100%,Russian Federation,1.0,f +16451,100%,Anguilla,1.0,f +23667,,Kiribati,1.0,f +33144,,Djibouti,3.0,t +29425,,,1.0,f +19817,100%,Papua New Guinea,2.0,f +44355,,Lebanon,1.0,t +19559,50%,Mauritania,1.0,f +15382,,Guinea,2.0,f +47043,100%,Lebanon,1.0,t +47116,,Christmas Island,1.0,f +30058,,Puerto Rico,1.0,f +37941,100%,Niue,2.0,t +24031,,Chile,1.0,t +35571,,Bosnia and Herzegovina,3.0,t +39091,,,1.0,f +6810,,,1.0,f +1295,,,2.0,t +22156,,Svalbard & Jan Mayen Islands,1.0,f +18977,,Nauru,1.0,t +30967,,Sao Tome and Principe,1.0,t +23216,80%,,1.0,f +13320,100%,,1.0,t +12806,,Sao Tome and Principe,1.0,t +495,,Guernsey,1.0,t +40569,,Jersey,1.0,f +31050,,,1.0,t +820,100%,,1.0,f +3657,,French Guiana,5.0,t +10882,,,1.0,f +14704,,,1.0,f +47327,100%,,2.0,f +33175,,Lebanon,2.0,f +36860,,Russian Federation,2.0,f +34113,,Marshall Islands,2.0,t +20274,,Jersey,1.0,f +5341,100%,Niger,1.0,t +33614,,Malta,1.0,f +44239,100%,Kiribati,1.0,t +41583,,Turkmenistan,1.0,f +16327,100%,Russian Federation,1.0,t +11668,,Maldives,1.0,f +41054,100%,Micronesia,1.0,t +36860,,Russian Federation,2.0,f +34178,100%,Rwanda,1.0,f +41048,,Niue,1.0,f +16021,50%,Malawi,1.0,t +7686,,Tonga,1.0,t +27282,67%,Mauritania,1.0,t +43608,100%,,1.0,t +39481,100%,Uzbekistan,1.0,t +1417,,Chile,1.0,f +26083,100%,Faroe Islands,2.0,t +39552,83%,Bahrain,4.0,t +35720,100%,,2.0,f +2005,,,1.0,f +25395,100%,Kiribati,1.0,t +3268,,French Guiana,1.0,t +43028,,,1.0,f +22350,,,1.0,t +3160,90%,Russian Federation,2.0,f +17254,70%,,3.0,t +20021,,Gambia,1.0,f +20339,100%,Malta,1.0,t +10151,,Uganda,1.0,t +34229,100%,,1.0,t +23755,,Kiribati,3.0,t +3023,,,1.0,t +4114,,,1.0,t +18712,95%,Turks and Caicos Islands,11.0,t +15167,,Vietnam,1.0,t +4259,,Niger,1.0,f +39244,100%,Netherlands,3.0,f +7277,,Gibraltar,1.0,f +22693,,Niger,1.0,f +14128,,Chile,1.0,t +19392,,Turkmenistan,1.0,t +43076,100%,Jersey,2.0,t +32166,100%,Bosnia and Herzegovina,4.0,t +38274,,,2.0,f +18712,95%,Turks and Caicos Islands,11.0,t +37646,100%,Estonia,60.0,f +6374,,Guinea,1.0,f +3308,100%,Marshall Islands,2.0,t +23370,40%,Nicaragua,3.0,f +24443,,,1.0,f +13299,,Lithuania,1.0,t +16710,,,1.0,f +41977,,Niue,2.0,t +43864,,Lebanon,1.0,t +22116,100%,Libyan Arab Jamahiriya,1.0,t +22257,,Croatia,1.0,t +42391,,Gambia,1.0,f +23251,,Turkmenistan,1.0,f +49879,,,1.0,t +2146,,Congo,1.0,f +10276,,Jersey,1.0,f +29647,100%,Peru,1305.0,f +30156,,Isle of Man,2.0,f +40224,100%,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +8598,,Russian Federation,1.0,f +16473,0%,Papua New Guinea,1.0,t +43545,100%,Isle of Man,2.0,t +37285,,Mauritania,1.0,t +8636,,Cocos (Keeling) Islands,1.0,f +14207,,Chad,1.0,t +9411,,Papua New Guinea,1.0,t +15425,,Uzbekistan,1.0,t +35307,100%,,1.0,f +24020,77%,Tonga,6.0,t +27175,,Palestinian Territory,1.0,f +8859,90%,Ukraine,5.0,f +25816,,,2.0,f +20607,100%,Turkmenistan,1.0,f +24759,90%,Gambia,2.0,t +49500,,Russian Federation,1.0,f +32440,,,1.0,t +4357,100%,Bahrain,1.0,t +7280,100%,Holy See (Vatican City State),2.0,t +24827,100%,Gibraltar,3.0,f +33877,100%,Uzbekistan,2.0,f +35218,100%,Turkmenistan,2.0,f +27972,94%,Brazil,27.0,f +37213,,Faroe Islands,1.0,f +5563,,,1.0,f +25816,,,2.0,f +20728,,,1.0,t +7112,,,1.0,t +10245,,French Guiana,1.0,f +9816,,Canada,1.0,t +39774,,Saint Helena,1.0,t +28530,,China,1.0,f +45351,90%,Liberia,3.0,f +37584,100%,Puerto Rico,1.0,f +2509,,,1.0,f +47950,,Pakistan,1.0,f +3224,100%,,2.0,t +18336,50%,,3.0,f +6764,79%,Sao Tome and Principe,2.0,f +33032,83%,Russian Federation,1.0,f +12291,,Isle of Man,1.0,t +16261,75%,Isle of Man,1.0,t +29647,100%,Peru,1305.0,f +32872,,Peru,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +49374,100%,,1.0,t +19943,63%,Isle of Man,34.0,f +32971,100%,France,1.0,t +37355,100%,,1.0,t +3160,90%,Russian Federation,2.0,f +25217,,Jersey,1.0,f +42070,100%,Micronesia,2.0,f +1707,,Sao Tome and Principe,1.0,t +15936,,Peru,1.0,f +17840,100%,Uganda,3.0,t +20741,,Uganda,1.0,f +12020,100%,Congo,4.0,t +25262,,Maldives,1.0,t +38348,100%,,2.0,f +17439,50%,Mauritania,1.0,f +25196,,Tanzania,1.0,t +3111,,Venezuela,1.0,t +12749,,Monaco,1.0,t +32241,100%,Niue,3.0,t +19352,100%,,4.0,t +17945,100%,,1.0,t +32241,100%,Niue,3.0,t +18073,20%,Niue,2.0,t +21081,,Bouvet Island (Bouvetoya),1.0,f +49505,,,1.0,t +45553,90%,Brazil,16.0,t +39508,100%,Jersey,1.0,t +18879,100%,Marshall Islands,1.0,f +9099,,Vanuatu,1.0,t +21913,,Reunion,2.0,f +22884,,Palestinian Territory,1.0,f +32327,,Faroe Islands,1.0,f +13800,,Lebanon,1.0,t +4616,,Tonga,1.0,t +40500,100%,Cook Islands,1.0,t +32583,100%,United Kingdom,1.0,f +37941,100%,Niue,2.0,t +37711,100%,Niue,2.0,t +30345,100%,Bouvet Island (Bouvetoya),1.0,t +23239,,,1.0,t +39884,,Reunion,1.0,t +44097,100%,Solomon Islands,4.0,f +13272,,Croatia,1.0,t +42020,100%,,2.0,t +36735,100%,,1.0,f +43597,,Philippines,1.0,t +6273,100%,Lithuania,5.0,t +30588,100%,Nauru,12.0,t +13950,100%,Niue,3.0,f +15181,,United Kingdom,1.0,t +2175,,Uganda,1.0,t +15801,,Korea,1.0,t +17931,,Libyan Arab Jamahiriya,1.0,t +43447,,Ghana,5.0,t +19460,,Lithuania,1.0,f +17673,,Anguilla,1.0,f +33317,,Sao Tome and Principe,1.0,t +28248,,Faroe Islands,1.0,f +30489,,Venezuela,2.0,t +6268,,Uzbekistan,1.0,t +3230,100%,Turkmenistan,2.0,t +29698,100%,Kiribati,3.0,f +12590,,Zimbabwe,1.0,f +1517,100%,Turks and Caicos Islands,3.0,t +48597,,Niue,1.0,t +9614,,Ukraine,1.0,f +5917,100%,Guinea,1.0,t +5836,100%,Faroe Islands,3.0,f +26917,100%,Togo,2.0,t +21482,100%,Russian Federation,1.0,t +5797,,Gambia,2.0,f +10788,25%,Lebanon,2.0,f +35920,,,1.0,t +17344,,Jersey,1.0,t +6700,100%,Guinea,7.0,f +16088,100%,Fiji,2.0,t +29698,100%,Kiribati,3.0,f +12377,91%,,1.0,f +45303,,Rwanda,1.0,f +7041,,Bouvet Island (Bouvetoya),1.0,t +48097,,Kiribati,1.0,f +6469,,Congo,1.0,t +15465,,Maldives,1.0,f +637,100%,,1.0,f +9579,,Nauru,1.0,t +10367,,,2.0,f +38953,,Croatia,1.0,t +8260,100%,Niue,3.0,f +3224,100%,,2.0,t +38350,,Kenya,2.0,f +20023,100%,Monaco,1.0,t +29822,90%,Brazil,11.0,t +32279,100%,Ghana,2.0,t +40478,83%,,2.0,t +4571,,Canada,1.0,f +17056,100%,Chile,1.0,f +12373,,China,1.0,t +40070,100%,Lithuania,1.0,t +32110,100%,,1.0,f +20071,,Sao Tome and Principe,1.0,t +26696,100%,France,4.0,t +28758,,,1.0,f +787,,Faroe Islands,1.0,t +29938,,Turkmenistan,1.0,t +22455,,Togo,1.0,f +8025,,Kenya,1.0,t +4789,,Indonesia,1.0,t +29822,90%,Brazil,11.0,t +37260,100%,Kiribati,2.0,f +27311,,Vanuatu,1.0,f +46378,,Mauritania,3.0,t +18937,,Russian Federation,2.0,f +9329,100%,Jersey,2.0,f +14347,,Chile,2.0,t +31935,,Svalbard & Jan Mayen Islands,1.0,f +34784,60%,Faroe Islands,19.0,t +23821,,Maldives,2.0,t +6894,80%,Estonia,47.0,t +26660,100%,Sao Tome and Principe,2.0,t +36246,,Malta,2.0,t +26362,,,1.0,f +31436,,Croatia,1.0,f +11834,100%,China,4.0,t +10744,29%,,2.0,t +18552,,Niue,1.0,f +23894,,Malawi,2.0,t +24442,,Tonga,1.0,t +28966,,Malta,1.0,t +48226,0%,Senegal,1.0,t +9738,,Tonga,1.0,f +31598,67%,Ukraine,1.0,f +3417,,Fiji,32.0,t +28509,,Zimbabwe,1.0,f +25197,100%,Nicaragua,4.0,f +25197,100%,Nicaragua,4.0,f +35642,100%,Jersey,1.0,f +26060,,,1.0,f +3417,,Fiji,32.0,t +38129,,French Guiana,1.0,f +45101,,Maldives,1.0,f +7077,,Djibouti,1.0,t +29316,,Faroe Islands,1.0,t +45881,,,1.0,f +40583,,Andorra,2.0,t +20668,,Faroe Islands,1.0,t +34096,100%,Andorra,10.0,f +26819,50%,Tonga,2.0,t +33587,,,1.0,f +10457,,,2.0,t +49351,90%,Tonga,3.0,t +28711,,,1.0,f +18454,100%,Nicaragua,5.0,t +45412,100%,Tanzania,2.0,t +23400,,,1.0,t +34096,100%,Andorra,10.0,f +20378,,Isle of Man,1.0,f +34186,60%,,2.0,t +26855,,,1.0,f +19646,,,1.0,f +11865,,Peru,1.0,f +44125,,Lebanon,1.0,t +13969,,Vanuatu,1.0,f +43984,,,1.0,f +3545,,Pakistan,1.0,t +13344,100%,Anguilla,2.0,f +2209,,Zimbabwe,1.0,f +25197,100%,Nicaragua,4.0,f +43132,,Rwanda,1.0,f +35454,100%,China,9.0,f +2540,100%,Zimbabwe,1.0,f +37800,,El Salvador,1.0,t +5929,80%,Mauritania,1.0,t +15706,,Kenya,7.0,t +22512,67%,Papua New Guinea,2.0,f +22512,67%,Papua New Guinea,2.0,f +42560,,Maldives,1.0,f +46540,,Lebanon,1.0,f +28442,,Niue,2.0,f +5147,,Lebanon,1.0,t +13527,,Russian Federation,3.0,t +10577,100%,Estonia,2.0,t +46396,,Marshall Islands,1.0,f +26001,,,1.0,f +39594,,Sao Tome and Principe,3.0,f +8559,,Estonia,1.0,t +24549,,Chad,1.0,t +34841,100%,Zimbabwe,22.0,t +1751,,,1.0,t +12942,,Guinea,3.0,t +2341,100%,Bouvet Island (Bouvetoya),2.0,t +44892,100%,Lebanon,3.0,f +7853,,,1.0,f +12154,,,1.0,f +28358,,,1.0,t +12444,,,1.0,f +49077,100%,,1.0,t +14316,,,1.0,t +12080,,,1.0,t +19943,63%,Isle of Man,34.0,f +21562,,Zimbabwe,1.0,f +8132,,Anguilla,1.0,t +11418,0%,,1.0,t +23630,,Lebanon,2.0,f +11937,100%,,1.0,t +49398,88%,Barbados,18.0,t +22622,,Niue,1.0,t +34764,100%,Faroe Islands,1.0,t +32280,,Guernsey,1.0,t +6650,0%,,1.0,t +31242,100%,,1.0,t +31526,,,1.0,f +48451,86%,Faroe Islands,1.0,t +15560,,Turkmenistan,1.0,t +18090,100%,,1.0,t +16013,,,1.0,f +7722,,,1.0,t +21500,,Isle of Man,1.0,f +8794,,Bouvet Island (Bouvetoya),1.0,t +42641,,,1.0,f +13257,100%,,2.0,t +3586,,Guinea,1.0,t +41558,,Malta,1.0,t +10553,100%,Jersey,1.0,f +16447,100%,Brazil,2.0,t +45302,100%,,1.0,f +23361,100%,Marshall Islands,3.0,t +31745,100%,Monaco,5.0,t +19958,100%,Congo,40.0,t +18114,,,1.0,f +28768,100%,,3.0,f +43478,,,1.0,t +45392,,Netherlands,1.0,t +33930,,El Salvador,1.0,t +31710,,Guinea,3.0,f +31710,,Guinea,3.0,f +1771,,Russian Federation,1.0,t +24543,,Croatia,1.0,t +10845,100%,Marshall Islands,1.0,t +24186,,Rwanda,1.0,t +38677,,Malta,1.0,t +17804,,Uzbekistan,1.0,t +24585,100%,,2.0,f +35830,,Andorra,1.0,t +22290,86%,Micronesia,1.0,t +17474,,Uzbekistan,1.0,f +27647,,Peru,1.0,f +33867,100%,,3.0,f +47480,100%,Jersey,1.0,t +48826,,Svalbard & Jan Mayen Islands,1.0,t +38356,100%,Anguilla,2.0,f +5157,,Zimbabwe,1.0,t +17456,,Gambia,1.0,f +8038,,,1.0,f +16449,,Tonga,1.0,t +41626,,,1.0,t +20718,,Holy See (Vatican City State),1.0,f +18533,90%,Russian Federation,5.0,t +11544,100%,,1.0,f +19334,,,1.0,t +22769,100%,United Kingdom,1.0,t +45048,,Bosnia and Herzegovina,1.0,t +34927,100%,Niue,2.0,f +12750,,Philippines,1.0,t +35458,0%,Ecuador,1.0,f +15188,,,1.0,f +49188,,Niue,1.0,t +11025,,Cuba,1.0,t +15186,,Russian Federation,1.0,t +19810,,Lebanon,1.0,f +37018,100%,Canada,2.0,f +10788,25%,Lebanon,2.0,f +26547,,Jersey,2.0,f +29526,,Sao Tome and Principe,1.0,t +42413,100%,Isle of Man,3.0,t +33867,100%,,3.0,f +33867,100%,,3.0,f +2181,,El Salvador,1.0,t +11863,100%,Uzbekistan,1.0,t +14273,100%,Chile,2.0,f +34209,,Philippines,1.0,f +10937,,,1.0,t +14600,,Faroe Islands,1.0,f +34030,100%,Senegal,2.0,f +44644,,Malta,2.0,f +1519,,Turkmenistan,3.0,t +16367,,Guinea,1.0,t +40017,,Brazil,1.0,f +25026,89%,United Kingdom,1.0,t +6448,90%,Ecuador,1.0,f +15337,,Bosnia and Herzegovina,1.0,t +41848,,Gambia,2.0,t +24806,100%,Monaco,1.0,t +42020,100%,,2.0,t +2815,100%,Tonga,1.0,f +15142,,Marshall Islands,1.0,t +3878,,Zimbabwe,1.0,t +16518,,Jersey,1.0,f +19125,,Palestinian Territory,1.0,f +1519,,Turkmenistan,3.0,t +35469,,Lebanon,1.0,f +42413,100%,Isle of Man,3.0,t +42413,100%,Isle of Man,3.0,t +48778,,Lebanon,1.0,t +47576,100%,Niue,2.0,f +47393,,Marshall Islands,1.0,t +33445,,,1.0,t +16383,,United Kingdom,1.0,f +8454,,French Guiana,1.0,f +25698,100%,Monaco,1.0,f +36726,94%,Mexico,6.0,f +8419,,Palestinian Territory,1.0,f +27102,,Marshall Islands,1.0,t +44702,100%,Faroe Islands,1.0,t +36726,94%,Mexico,6.0,f +32562,,,1.0,f +40342,100%,Ukraine,2.0,f +29507,100%,Russian Federation,2.0,t +14644,,Russian Federation,3.0,f +19112,,Malta,1.0,f +32600,100%,Lebanon,1.0,f +16274,,Niger,1.0,t +29164,,Mauritania,3.0,t +43194,,Maldives,1.0,f +44846,100%,Malta,1.0,t +26280,,Montserrat,1.0,f +23748,100%,,1.0,f +40603,,,1.0,t +33914,100%,Zimbabwe,2.0,t +34095,100%,Russian Federation,3.0,f +4590,,Costa Rica,1.0,f +28679,,Estonia,1.0,t +38481,,Malawi,1.0,t +25502,,Philippines,1.0,t +16617,,,1.0,t +20383,,,1.0,f +15706,,Kenya,7.0,t +38455,100%,Lebanon,2.0,t +21669,,Bosnia and Herzegovina,1.0,f +40057,,,1.0,f +5672,,Togo,2.0,f +13527,,Russian Federation,3.0,t +47300,38%,Bosnia and Herzegovina,1.0,f +41506,,French Guiana,1.0,f +5162,100%,Russian Federation,1.0,t +28017,0%,Kiribati,1.0,t +6700,100%,Guinea,7.0,f +30100,,Senegal,1.0,f +16394,70%,Mexico,1.0,t +13211,,Bouvet Island (Bouvetoya),1.0,f +18190,100%,Niue,1.0,f +8356,100%,Togo,2.0,t +43946,,,1.0,f +38491,100%,Rwanda,3.0,t +3726,100%,Svalbard & Jan Mayen Islands,2.0,t +3161,,Gibraltar,1.0,t +10101,100%,,1.0,t +24640,,Maldives,1.0,f +41481,,Australia,1.0,t +2114,,,1.0,f +44731,,Slovenia,1.0,t +161,,,1.0,t +18622,,Cocos (Keeling) Islands,1.0,t +28806,100%,Mexico,2.0,t +35427,,Micronesia,1.0,f +1644,,,1.0,f +35976,100%,,6.0,t +8434,100%,Cuba,7.0,f +14885,100%,Tanzania,3.0,f +37645,100%,Mauritania,3.0,t +14885,100%,Tanzania,3.0,f +6061,0%,Tonga,2.0,t +34156,100%,Svalbard & Jan Mayen Islands,2.0,t +36815,100%,,1.0,f +5277,100%,Vietnam,10.0,f +38994,,Gibraltar,1.0,t +29268,100%,Gibraltar,1.0,f +10995,,Kiribati,2.0,f +169,,,1.0,t +46649,,Guinea,3.0,t +6221,,Chile,1.0,t +30392,100%,Isle of Man,1.0,t +33729,100%,Jersey,1.0,t +28670,,Russian Federation,1.0,f +36950,100%,,1.0,t +29907,,Mauritania,1.0,t +1160,100%,France,1.0,t +20807,100%,Mauritania,2.0,t +14374,,,1.0,f +35743,100%,Palestinian Territory,2.0,t +44826,,,1.0,t +31042,100%,Guinea,1.0,t +48135,,Niue,1.0,t +47433,,Pakistan,1.0,t +28048,100%,,5.0,f +45138,79%,Barbados,14.0,f +42297,,Chile,1.0,f +14868,100%,El Salvador,1.0,t +35967,,Uganda,2.0,f +17348,,,1.0,f +48331,55%,,1.0,t +35967,,Uganda,2.0,f +9242,100%,Croatia,1.0,f +16332,100%,Niue,1.0,t +47694,100%,Malta,1.0,t +1448,,Nauru,1.0,t +28048,100%,,5.0,f +25652,,,1.0,f +41112,100%,,1.0,f +8410,75%,Guinea,1.0,t +19371,100%,Niger,2.0,t +12626,,Turkmenistan,1.0,f +41067,,Turkmenistan,2.0,t +8459,100%,,1.0,f +33264,,Mauritania,1.0,f +26054,100%,Sao Tome and Principe,1.0,f +5589,,Saint Helena,1.0,t +1413,100%,Zimbabwe,1.0,t +39841,,Indonesia,1.0,f +24639,100%,Kenya,2.0,t +42372,100%,Niger,1.0,f +42783,,Guernsey,1.0,t +40600,,Vanuatu,1.0,f +7210,,Montserrat,1.0,f +8440,,,1.0,f +20930,63%,,3.0,f +16838,100%,Malawi,2.0,t +14967,60%,Monaco,2.0,t +49644,100%,,1.0,t +14520,,,1.0,t +32008,,,1.0,f +33321,100%,,1.0,t +37777,,,1.0,t +15617,44%,China,1.0,f +46630,,Bahrain,1.0,f +2583,100%,Micronesia,2.0,t +20542,80%,Kenya,7.0,t +23170,100%,Sao Tome and Principe,2.0,t +15246,,Mexico,1.0,t +31060,,Isle of Man,1.0,t +24648,,Rwanda,2.0,t +12737,,Malawi,1.0,f +45157,,Ghana,1.0,t +3058,,Bosnia and Herzegovina,1.0,t +44587,0%,Venezuela,2.0,t +34848,,,1.0,t +3707,,,3.0,f +24847,,,1.0,f +7522,,Faroe Islands,1.0,t +7850,,Montserrat,1.0,f +9220,,Gambia,2.0,t +44884,,Russian Federation,3.0,t +35426,,,2.0,f +40458,100%,,1.0,t +34458,90%,Kiribati,4.0,t +29677,,Togo,1.0,t +43489,,Slovakia (Slovak Republic),1.0,t +45829,100%,Venezuela,4.0,f +16294,,Libyan Arab Jamahiriya,2.0,f +37247,100%,Tanzania,3.0,f +7096,100%,Niue,4.0,t +46373,,Anguilla,1.0,t +21051,0%,Denmark,1.0,t +18321,,,1.0,f +3679,100%,Niue,2.0,t +39837,,Jersey,1.0,t +12473,70%,,1.0,t +517,100%,United Kingdom,1.0,f +18533,90%,Russian Federation,5.0,t +14988,100%,Croatia,1.0,f +11698,100%,Philippines,1.0,t +36117,,,1.0,f +26974,,,1.0,t +45571,100%,Micronesia,2.0,t +31633,,Isle of Man,1.0,f +5836,100%,Faroe Islands,3.0,f +47926,,Chad,2.0,f +6180,,France,1.0,t +22055,,Zimbabwe,1.0,f +40113,100%,Zimbabwe,1.0,t +8791,70%,,4.0,f +41868,,Bouvet Island (Bouvetoya),1.0,t +26179,,French Guiana,1.0,f +31654,,,1.0,t +33736,,Marshall Islands,1.0,t +1,,Anguilla,2.0,t +23243,,Lebanon,1.0,t +9409,,,1.0,t +16699,100%,Niue,1.0,f +41920,100%,Ukraine,2.0,f +37791,90%,Marshall Islands,3.0,f +11093,,,1.0,t +12193,,Mexico,1.0,t +7951,,Anguilla,1.0,f +40585,,Denmark,1.0,f +27723,,,1.0,t +32964,,,1.0,t +859,75%,Lebanon,2.0,t +44560,,Jersey,1.0,f +36590,100%,Malta,1.0,t +36754,,Niue,1.0,t +48119,,Monaco,1.0,f +5824,,Guinea,1.0,t +11598,,Ecuador,1.0,f +44106,100%,Malta,1.0,f +18923,,Andorra,1.0,t +16144,,Lebanon,1.0,f +12713,,Uzbekistan,1.0,t +45887,,Isle of Man,1.0,f +17952,,,1.0,t +20605,,China,1.0,t +2557,100%,Uzbekistan,3.0,t +23554,,Guinea,1.0,t +16830,100%,,1.0,t +41186,100%,Lebanon,1.0,t +12518,,Faroe Islands,1.0,t +1848,,Kenya,1.0,t +13015,,Isle of Man,1.0,f +30808,,,2.0,f +20028,50%,,1.0,f +22700,100%,,2.0,t +1087,100%,Isle of Man,1.0,t +44531,,Cocos (Keeling) Islands,2.0,f +9115,0%,Bouvet Island (Bouvetoya),2.0,f +45296,100%,Kiribati,1.0,f +2091,,Gambia,1.0,t +7465,100%,Uganda,1.0,f +6369,100%,Saint Helena,1.0,f +38557,100%,,1.0,t +29297,,Barbados,1.0,f +43315,,Isle of Man,1.0,f +44079,100%,,1.0,f +27015,100%,Kenya,2.0,t +7651,100%,Mexico,1.0,t +28558,100%,Russian Federation,1.0,t +12059,,Isle of Man,1.0,f +41620,100%,Ecuador,1.0,f +46219,,Gambia,2.0,t +9103,,Pakistan,1.0,t +33026,100%,Estonia,2.0,f +9123,,Brazil,1.0,f +33632,,Monaco,1.0,t +35837,,Tonga,1.0,f +41825,100%,United Kingdom,1.0,f +34834,,Brazil,2.0,t +6898,,Monaco,1.0,t +17750,,United Kingdom,2.0,t +4282,,Maldives,2.0,t +44884,,Russian Federation,3.0,t +45548,100%,Malta,3.0,t +28301,100%,United Kingdom,2.0,f +37743,100%,Svalbard & Jan Mayen Islands,1.0,t +7527,,,1.0,f +39668,0%,Malta,1.0,t +32571,100%,Russian Federation,1.0,t +49961,100%,Russian Federation,3.0,t +16979,,Isle of Man,1.0,t +45372,100%,,1.0,t +2826,50%,Croatia,2.0,t +40962,100%,Russian Federation,1.0,t +38089,,,1.0,t +34261,67%,Kiribati,1.0,t +11032,,Faroe Islands,1.0,f +24990,100%,Anguilla,3.0,t +24990,100%,Anguilla,3.0,t +36206,86%,Russian Federation,10.0,f +38934,,Lebanon,2.0,t +36193,100%,Niue,1.0,t +20830,,Zimbabwe,2.0,t +10382,,Niue,1.0,t +21293,,Chad,1.0,t +36804,90%,Niue,1.0,t +47202,,Marshall Islands,1.0,f +6484,,Kiribati,1.0,f +35454,100%,China,9.0,f +8070,,Faroe Islands,1.0,f +32956,,Bouvet Island (Bouvetoya),3.0,t +16821,,Lebanon,1.0,t +43569,,Tonga,1.0,t +36635,100%,Indonesia,10.0,f +46811,100%,Zimbabwe,1.0,f +24239,100%,Kiribati,8.0,t +15575,,Sao Tome and Principe,1.0,f +25834,100%,Turkmenistan,2.0,t +31589,,Tonga,1.0,f +43921,,,1.0,f +5780,100%,Indonesia,1.0,f +26295,,Croatia,2.0,f +4806,,Tonga,1.0,t +36632,,French Guiana,1.0,t +28053,100%,,1.0,t +26846,,Marshall Islands,1.0,f +22393,,Micronesia,1.0,f +44857,100%,Zimbabwe,24.0,t +36142,,,1.0,t +49873,60%,,1.0,f +32566,,,1.0,f +4177,,,1.0,f +36972,100%,Venezuela,3.0,f +40590,,,1.0,f +9160,,Senegal,1.0,t +4751,83%,Zimbabwe,1.0,t +30556,100%,Malawi,2.0,t +14889,,Netherlands,1.0,t +46988,,Somalia,4.0,t +20366,,,1.0,t +4605,100%,Micronesia,1.0,f +19885,,Sao Tome and Principe,1.0,t +23815,100%,Palestinian Territory,1.0,t +27879,,Monaco,1.0,t +14855,,Rwanda,1.0,t +41031,,Niue,2.0,t +14123,,Bosnia and Herzegovina,1.0,t +11325,0%,Tonga,18.0,f +42797,43%,Pakistan,3.0,t +31973,,Tonga,1.0,f +13494,,Venezuela,1.0,t +40850,,,, +48167,,Rwanda,1.0,t +9440,,,1.0,f +31594,100%,Philippines,19.0,t +44379,80%,El Salvador,8.0,t +29544,,Mauritania,1.0,f +25733,,,1.0,f +37820,,,1.0,t +14817,,,1.0,t +30169,100%,Rwanda,2.0,t +16270,80%,Bosnia and Herzegovina,1.0,t +15931,100%,,4.0,f +48920,100%,,3.0,t +25183,,Malta,1.0,t +4827,90%,,1.0,t +26704,100%,Malawi,2.0,t +28893,,Turkmenistan,1.0,f +41063,,Monaco,2.0,t +30518,,,1.0,f +20938,,United Kingdom,1.0,t +44610,,Uganda,1.0,f +32795,,Vanuatu,1.0,f +39578,,Sao Tome and Principe,1.0,f +9551,,Denmark,1.0,f +33432,,Lebanon,1.0,f +20033,100%,Chad,1.0,f +35412,,,1.0,t +43358,,Chile,1.0,t +40175,,Jersey,1.0,f +39568,,Bahrain,1.0,f +137,,Brazil,1.0,t +16838,100%,Malawi,2.0,t +16195,,,1.0,t +46533,,Monaco,1.0,f +47288,,French Guiana,1.0,f +4019,,Lebanon,1.0,f +1142,75%,,1.0,t +4293,,Niue,1.0,f +45820,0%,,3.0,f +25159,100%,Peru,1.0,t +14978,,,1.0,f +21829,,,, +9336,100%,Isle of Man,1.0,t +49231,90%,Bosnia and Herzegovina,1.0,f +45611,75%,,3.0,t +16250,,Maldives,1.0,t +38703,,Maldives,1.0,f +13828,,France,1.0,t +30278,,,1.0,f +30338,,Sao Tome and Principe,1.0,t +23370,40%,Nicaragua,3.0,f +20048,,El Salvador,5.0,t +23773,100%,El Salvador,1.0,t +23341,,Croatia,2.0,f +43611,,Niue,2.0,f +5214,100%,,2.0,t +13461,,,1.0,f +45943,100%,Micronesia,2.0,f +13016,100%,Russian Federation,2.0,t +13016,100%,Russian Federation,2.0,t +2166,,Kenya,4.0,t +24896,100%,Algeria,50.0,t +3615,80%,Somalia,3.0,t +23181,,,2.0,t +3475,,Marshall Islands,1.0,f +19419,,Chile,1.0,t +44664,,Jersey,1.0,f +14274,,,1.0,t +2145,67%,Faroe Islands,3.0,t +11368,,,1.0,f +2145,67%,Faroe Islands,3.0,t +17191,,Montserrat,1.0,t +29137,,Faroe Islands,2.0,f +32827,,Philippines,1.0,t +48835,100%,Cocos (Keeling) Islands,1.0,t +28828,100%,Isle of Man,198.0,t +26040,,Isle of Man,1.0,t +46193,,,2.0,t +30078,,Russian Federation,1.0,f +29830,100%,,1.0,f +28825,,Ghana,1.0,t +16575,,,1.0,f +5277,100%,Vietnam,10.0,f +45335,,Cocos (Keeling) Islands,1.0,f +7144,,Niger,1.0,t +10851,,Estonia,1.0,t +5647,,Bosnia and Herzegovina,4.0,t +28969,,,2.0,t +39522,,,1.0,f +40441,90%,Russian Federation,2.0,f +25894,,Malta,2.0,f +31460,100%,Isle of Man,1.0,t +12549,,Croatia,1.0,f +13481,,,1.0,t +37726,100%,Micronesia,1.0,f +14919,,,1.0,f +12596,,Russian Federation,1.0,t +23152,100%,United Kingdom,1.0,t +40334,,Bosnia and Herzegovina,1.0,t +3679,100%,Niue,2.0,t +27595,100%,Guinea,1.0,t +8017,,Faroe Islands,1.0,f +29137,,Faroe Islands,2.0,f +22136,,Niue,1.0,t +26379,,Niue,1.0,f +47331,,,1.0,t +41765,,France,1.0,t +6638,,Marshall Islands,1.0,f +36840,,Cape Verde,2.0,t +39165,100%,Bouvet Island (Bouvetoya),2.0,t +36140,,Puerto Rico,1.0,f +144,100%,Maldives,2.0,t +26221,,Turkmenistan,1.0,f +36992,100%,,1.0,t +21563,,Turkmenistan,1.0,f +45474,100%,El Salvador,4.0,t +29242,,Somalia,1.0,t +22695,97%,Pakistan,6.0,t +3927,100%,Niue,1.0,t +37593,,Guinea,1.0,f +28761,,Chad,1.0,t +15192,,Sao Tome and Principe,2.0,t +11164,100%,,1.0,t +11971,100%,,1.0,t +31859,100%,Maldives,2.0,f +12706,,Faroe Islands,1.0,f +28259,,Niue,1.0,t +32179,67%,,1.0,f +12760,,Anguilla,1.0,t +16379,,,1.0,t +29723,,Guernsey,1.0,t +19883,,,2.0,f +13947,100%,France,3.0,t +16147,,,1.0,f +33893,,,1.0,t +8744,100%,United Kingdom,2.0,f +15072,,Mauritania,1.0,t +23244,100%,Monaco,1.0,f +20177,,,1.0,t +47053,,Guinea,1.0,t +37149,,,1.0,f +21288,100%,Brazil,1.0,f +13524,,,1.0,t +4075,,,2.0,f +31811,70%,Uzbekistan,2.0,t +15403,,,1.0,f +933,75%,Lebanon,1.0,t +12223,,Kenya,1.0,t +31812,100%,Guinea,1.0,t +45086,,Malta,1.0,f +153,,Ghana,1.0,t +38417,,,1.0,t +39782,,Denmark,1.0,t +2148,,Tonga,1.0,t +6174,100%,Chad,1.0,t +22454,100%,Uzbekistan,1.0,t +6841,100%,Mauritania,4.0,f +15890,100%,,1.0,f +19388,,Niue,1.0,t +30169,100%,Rwanda,2.0,t +35420,,Sao Tome and Principe,2.0,t +20756,,,1.0,f +49695,,Nicaragua,1.0,f +35420,,Sao Tome and Principe,2.0,t +21590,,Faroe Islands,1.0,f +8037,,Somalia,1.0,f +48216,88%,Russian Federation,1.0,t +5758,,,1.0,t +3419,,Djibouti,1.0,t +35303,100%,Guernsey,1.0,t +23575,100%,Denmark,2.0,f +48295,100%,Jersey,1.0,t +30843,,Niue,1.0,f +1446,100%,Malta,1.0,t +22541,,Marshall Islands,2.0,t +26780,100%,Guinea,7.0,f +17756,,Tonga,1.0,f +22100,,Somalia,1.0,t +5591,99%,Indonesia,16.0,t +4805,100%,Cuba,2.0,f +41577,,Sao Tome and Principe,1.0,t +4546,100%,Slovakia (Slovak Republic),2.0,t +29107,,Sao Tome and Principe,1.0,f +9696,,Philippines,1.0,t +47029,,Isle of Man,1.0,t +24283,100%,Estonia,1.0,t +32956,,Bouvet Island (Bouvetoya),3.0,t +20743,100%,Nicaragua,1.0,f +32646,,Tanzania,2.0,t +2276,,Denmark,1.0,f +30190,100%,El Salvador,1.0,t +5504,,Cape Verde,2.0,t +8821,,Faroe Islands,1.0,f +26106,,Tonga,1.0,t +6247,,Nicaragua,1.0,t +11606,,Indonesia,1.0,t +25834,100%,Turkmenistan,2.0,t +24208,,Zimbabwe,1.0,t +34453,,,1.0,f +11378,,Chad,1.0,f +45791,,Russian Federation,2.0,t +5064,80%,Guinea,2.0,t +2724,100%,,2.0,f +12636,,United Kingdom,1.0,t +7685,100%,,1.0,t +3428,100%,Lebanon,4.0,t +30241,,,1.0,f +6257,,Lebanon,1.0,t +46081,,Ghana,1.0,t +37738,,Maldives,1.0,t +46986,,,1.0,f +35565,,Afghanistan,1.0,t +32160,,Niue,1.0,f +20149,,,1.0,f +5277,100%,Vietnam,10.0,f +19288,,,1.0,f +38589,,,1.0,t +28969,,,2.0,t +29042,100%,,1.0,t +40157,,Ghana,1.0,t +5709,,Croatia,1.0,t +24724,,,1.0,f +10104,,Tonga,1.0,t +33076,,,1.0,f +4329,,Niue,1.0,f +17382,,Slovenia,1.0,t +43617,,Suriname,2.0,f +20800,70%,Grenada,1.0,t +40593,,Nauru,10.0,t +23379,,,1.0,t +47609,100%,Malta,1.0,t +6668,100%,,1.0,t +47492,100%,Maldives,1.0,t +47207,,Isle of Man,1.0,f +44632,,,1.0,t +35605,100%,,2.0,f +48831,100%,Cape Verde,5.0,t +11622,100%,,3.0,t +1740,,Niue,1.0,t +46375,,,1.0,f +49212,,Somalia,1.0,t +14885,100%,Tanzania,3.0,f +31186,,Grenada,3.0,t +24026,98%,Cape Verde,69.0,t +35434,,Niue,1.0,t +19682,100%,Faroe Islands,15.0,t +39134,90%,Micronesia,2.0,f +35277,100%,France,2.0,t +15643,,Venezuela,1.0,t +13462,,Bosnia and Herzegovina,1.0,f +40834,,Congo,1.0,f +3143,,Niue,1.0,f +22840,,Lithuania,1.0,f +38351,,Kenya,1.0,t +32574,,Sao Tome and Principe,1.0,t +27656,100%,Nauru,1.0,t +4493,100%,,1.0,f +28989,,El Salvador,1.0,t +441,,,1.0,t +31893,,Isle of Man,1.0,t +46960,,Guinea,1.0,f +37734,,Malawi,1.0,f +20301,,Niue,2.0,t +46369,100%,Papua New Guinea,2.0,f +746,,Kiribati,4.0,f +46369,100%,Papua New Guinea,2.0,f +8869,0%,Isle of Man,1.0,f +39134,90%,Micronesia,2.0,f +36136,,Faroe Islands,1.0,t +24896,100%,Algeria,50.0,t +14547,100%,Gibraltar,2.0,f +11216,,,1.0,f +19770,100%,,1.0,f +22189,,Bouvet Island (Bouvetoya),1.0,t +2831,,Marshall Islands,1.0,t +16826,,Guinea,1.0,f +42226,100%,Rwanda,2.0,t +42226,100%,Rwanda,2.0,t +37646,100%,Estonia,60.0,f +13000,100%,Indonesia,2.0,t +26784,,Malta,1.0,f +41835,100%,Russian Federation,1.0,t +29164,,Mauritania,3.0,t +25240,100%,Gibraltar,2.0,t +44876,,Turkmenistan,1.0,t +10334,100%,Micronesia,1.0,t +38345,,,1.0,f +13595,,,1.0,f +2520,100%,Holy See (Vatican City State),2.0,t +49463,,,1.0,f +38835,100%,,4.0,t +17692,100%,Croatia,1.0,t +24999,100%,France,6.0,f +3572,100%,Tonga,2.0,t +3064,,Russian Federation,1.0,f +1701,70%,Christmas Island,1.0,t +19340,100%,San Marino,2.0,f +9581,100%,,1.0,t +8675,,Nicaragua,1.0,f +28520,100%,Slovakia (Slovak Republic),2.0,t +18457,,,1.0,f +13701,90%,Uzbekistan,2.0,t +6002,100%,,2.0,f +28036,100%,Guinea,1.0,f +36978,,,1.0,f +30794,100%,Barbados,5.0,t +31695,,Nicaragua,1.0,t +3145,100%,Micronesia,3.0,t +2320,,,1.0,t +21734,,United Kingdom,1.0,f +36993,,Niue,1.0,f +20725,,Venezuela,1.0,t +10979,,Philippines,1.0,t +280,,Turks and Caicos Islands,1.0,t +24855,,Bosnia and Herzegovina,2.0,t +28865,100%,Guinea,1.0,t +12417,,,1.0,t +18359,,Isle of Man,1.0,t +22524,,Zimbabwe,1.0,f +21122,,Kiribati,1.0,f +16702,100%,Saint Helena,1.0,t +38941,,,3.0,t +4513,,Marshall Islands,1.0,f +49225,,French Guiana,2.0,t +30616,,Lebanon,1.0,t +11686,90%,Kenya,2.0,f +45219,70%,Djibouti,1.0,t +31704,,Ecuador,1.0,f +20530,,Gibraltar,1.0,t +49240,,,1.0,f +17669,100%,Russian Federation,3.0,f +33201,,Chad,1.0,t +592,,,1.0,t +4808,,Svalbard & Jan Mayen Islands,1.0,f +36004,33%,,2.0,t +36448,,,1.0,f +36236,,Brazil,1.0,t +19054,,Rwanda,1.0,t +37450,,Guinea,1.0,t +26115,,Mauritania,1.0,t +24318,,,1.0,f +25756,100%,Nicaragua,2.0,f +23326,100%,,1.0,t +29273,100%,Togo,1.0,t +8979,100%,Micronesia,9.0,t +44446,100%,Costa Rica,3.0,t +39319,100%,,2.0,f +7621,83%,Isle of Man,1.0,f +19792,,Uzbekistan,1.0,f +8828,,,1.0,f +8979,100%,Micronesia,9.0,t +23921,100%,Croatia,1.0,t +34658,,,1.0,f +4501,,Tonga,1.0,t +48479,,,1.0,t +47410,100%,Puerto Rico,1.0,f +17530,,Afghanistan,1.0,t +37814,,Tonga,1.0,t +25838,,Anguilla,2.0,t +2598,,Lebanon,1.0,t +23034,99%,Monaco,54.0,f +8979,100%,Micronesia,9.0,t +37289,,Bosnia and Herzegovina,1.0,t +14763,,Russian Federation,1.0,f +8979,100%,Micronesia,9.0,t +8979,100%,Micronesia,9.0,t +27936,,Micronesia,1.0,t +38288,100%,France,8.0,t +37300,100%,Bosnia and Herzegovina,1.0,t +49656,100%,Djibouti,1.0,t +27670,75%,Uganda,1.0,t +39391,,Guinea,1.0,t +35033,,Niue,1.0,f +43616,80%,Ecuador,1.0,t +44341,100%,Cuba,1.0,f +12946,100%,Isle of Man,1.0,t +27402,,Russian Federation,1.0,t +49298,,El Salvador,2.0,f +14673,,Tonga,1.0,t +49886,,Monaco,1.0,f +49385,,Rwanda,1.0,f +18755,,Maldives,1.0,t +12216,97%,Uzbekistan,4.0,f +44384,,Turkmenistan,1.0,t +49875,,,1.0,f +47034,,,1.0,f +5214,100%,,2.0,t +38634,100%,Malta,1.0,t +9288,,,1.0,f +44415,,Turkmenistan,1.0,f +822,,,1.0,t +3391,100%,Iran,58.0,t +39024,100%,Uzbekistan,2.0,f +14430,100%,Uzbekistan,1.0,f +29617,,Niue,1.0,f +27916,,,1.0,f +25949,,,1.0,f +4203,,Russian Federation,1.0,t +14615,,Guinea,1.0,t +12137,99%,Sao Tome and Principe,33.0,t +33959,80%,,1.0,f +7130,,Niue,1.0,t +2171,75%,Bosnia and Herzegovina,3.0,t +16771,,Maldives,1.0,t +34626,,,1.0,f +34251,,Zimbabwe,1.0,f +4129,100%,Niue,3.0,t +47439,100%,,2.0,t +8310,,Malawi,1.0,t +24521,100%,United Kingdom,2.0,t +32810,100%,Russian Federation,2.0,t +34755,,Croatia,1.0,f +2520,100%,Holy See (Vatican City State),2.0,t +42545,100%,France,1.0,t +16926,,,1.0,t +6524,,,1.0,f +18586,100%,Bouvet Island (Bouvetoya),1.0,f +2166,,Kenya,4.0,t +9189,,Estonia,1.0,f +11933,100%,,2.0,f +19899,,Slovenia,1.0,t +49659,,Estonia,1.0,t +24006,,,1.0,f +9329,100%,Jersey,2.0,f +33607,,Micronesia,1.0,t +23856,100%,,1.0,f +11868,,,1.0,f +21264,100%,,1.0,t +47283,,Ghana,4.0,t +10885,,Isle of Man,1.0,f +37106,,,1.0,f +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +30105,,Rwanda,1.0,t +19521,100%,United Kingdom,3.0,t +6890,,Tonga,1.0,f +24619,100%,,4.0,t +45571,100%,Micronesia,2.0,t +43681,,Micronesia,1.0,f +44842,,,1.0,f +32170,,Uzbekistan,1.0,t +46273,,,1.0,t +25697,100%,Malta,2.0,t +44857,100%,Zimbabwe,24.0,t +9960,,Costa Rica,1.0,f +37526,,Vietnam,1.0,t +21078,,Niue,1.0,f +37795,,El Salvador,1.0,t +8878,,Nauru,2.0,f +21601,100%,Nicaragua,2.0,t +6865,100%,Afghanistan,1.0,t +3975,,Chad,1.0,f +26816,,Chad,1.0,t +7910,,Monaco,1.0,t +3414,,,1.0,f +5664,,Gambia,1.0,t +47518,,French Guiana,2.0,t +17946,,,1.0,f +8767,,,1.0,t +35936,,,1.0,t +23790,100%,Isle of Man,1.0,t +18390,100%,Malta,1.0,t +12860,,Palestinian Territory,1.0,f +23498,,,1.0,t +48473,,,2.0,t +10171,,,1.0,f +7768,100%,Uzbekistan,1.0,t +1856,,Kenya,1.0,t +28539,100%,,1.0,f +4801,,Gibraltar,1.0,t +7681,,Sao Tome and Principe,1.0,f +32187,,San Marino,1.0,f +10199,,Chile,1.0,t +37187,,France,3.0,t +48948,,,1.0,f +31521,,French Guiana,1.0,f +25014,100%,,1.0,t +1130,,Mauritania,1.0,f +34696,,,2.0,f +17893,100%,,2.0,f +3428,100%,Lebanon,4.0,t +4790,,Libyan Arab Jamahiriya,1.0,t +23295,100%,Bouvet Island (Bouvetoya),2.0,t +18041,33%,Gibraltar,1.0,f +19930,100%,Puerto Rico,2.0,f +19540,100%,Guinea,1.0,t +43485,,Russian Federation,2.0,t +15065,100%,,1.0,t +12586,,,1.0,t +4849,,Malta,2.0,f +13308,,Maldives,1.0,f +34694,90%,Malta,2.0,t +34583,,Cuba,2.0,t +15205,100%,Sao Tome and Principe,1.0,f +47430,100%,Turks and Caicos Islands,1.0,f +26780,100%,Guinea,7.0,f +48513,100%,,1.0,t +28471,,Guernsey,1.0,t +38847,0%,Denmark,3.0,t +34585,100%,,2.0,t +17408,,Chad,1.0,t +47672,100%,,5.0,f +47672,100%,,5.0,f +48455,89%,Uzbekistan,20.0,t +29452,100%,El Salvador,1.0,t +25920,75%,Kiribati,1.0,t +36004,33%,,2.0,t +9351,,,1.0,t +48569,,,1.0,f +35114,,Lebanon,1.0,t +3726,100%,Svalbard & Jan Mayen Islands,2.0,t +35864,,Zimbabwe,1.0,t +38794,100%,Micronesia,2.0,t +996,,Cuba,1.0,t +9978,100%,Puerto Rico,3.0,t +38986,,Estonia,2.0,t +38020,,Tonga,1.0,t +22013,100%,Micronesia,4.0,f +14974,90%,Turkmenistan,1.0,t +13961,,,1.0,t +36353,100%,Chile,2.0,f +2443,,Mexico,1.0,t +923,,Jersey,1.0,t +9978,100%,Puerto Rico,3.0,t +18548,100%,Kenya,1.0,f +47236,100%,Reunion,1.0,t +3562,,Mauritania,1.0,t +19649,,,1.0,t +38692,100%,,1.0,f +2981,,,1.0,f +33439,,Russian Federation,1.0,f +30693,,,1.0,f +30537,100%,Tonga,3.0,t +48954,100%,Montserrat,8.0,t +37882,100%,Bouvet Island (Bouvetoya),2.0,f +25550,100%,Nicaragua,8.0,t +38006,90%,Lebanon,1.0,t +22717,,Russian Federation,1.0,f +2702,,Senegal,2.0,t +38512,,,1.0,f +2702,,Senegal,2.0,t +1980,50%,,1.0,t +5277,100%,Vietnam,10.0,f +20978,,,1.0,t +29165,100%,Reunion,1.0,f +2840,100%,Papua New Guinea,2.0,t +44405,100%,France,1.0,t +29807,100%,Brazil,2.0,t +12615,,,1.0,f +19970,100%,Marshall Islands,1.0,f +16967,,,1.0,f +36828,100%,Uganda,1.0,t +25838,,Anguilla,2.0,t +27167,,Marshall Islands,1.0,f +17706,89%,Lebanon,1.0,f +16419,,French Guiana,1.0,t +47136,100%,France,1.0,t +21835,,,1.0,f +18920,90%,Jersey,1.0,t +25842,100%,,1.0,t +3857,,Kenya,1.0,t +9595,,,1.0,f +4573,100%,,1.0,f +28040,,Kiribati,1.0,f +20315,100%,,1.0,t +8611,,Russian Federation,1.0,t +11607,100%,Croatia,2.0,t +2806,,Indonesia,1.0,t +6132,100%,Marshall Islands,2.0,f +11916,,,1.0,f +21400,100%,,2.0,t +49395,,,1.0,f +23777,,Chad,2.0,f +2421,100%,,2.0,t +8580,,Malawi,1.0,f +8932,,Niue,1.0,f +31745,100%,Monaco,5.0,t +8999,,Tonga,1.0,t +5415,100%,El Salvador,3.0,f +20531,,Saint Helena,1.0,f +29485,,French Guiana,1.0,f +38839,,Sao Tome and Principe,1.0,f +47456,100%,Isle of Man,1.0,f +12981,33%,Isle of Man,1.0,f +5415,100%,El Salvador,3.0,f +41977,,Niue,2.0,t +11245,,,1.0,f +23456,,,1.0,t +24352,100%,Guinea,2.0,f +5415,100%,El Salvador,3.0,f +38485,,Isle of Man,1.0,f +25181,,Mauritania,1.0,t +23187,,,1.0,t +8697,,Greenland,2.0,f +40730,100%,,3.0,t +35474,,Maldives,1.0,f +5729,100%,Russian Federation,1.0,f +37918,,El Salvador,3.0,t +8403,,Nicaragua,1.0,f +12888,,Lebanon,1.0,t +12542,98%,Mauritania,19.0,t +30684,100%,Niue,2.0,t +12542,98%,Mauritania,19.0,t +21839,25%,Malawi,2.0,f +38372,,Maldives,1.0,f +44723,,,1.0,t +22952,,Turkmenistan,1.0,t +49877,,Nicaragua,1.0,f +34374,,Sao Tome and Principe,1.0,t +5974,33%,Nicaragua,1.0,f +5696,,,1.0,f +25520,,El Salvador,1.0,t +21417,,,1.0,t +19640,,Lebanon,1.0,f +29325,,Russian Federation,1.0,t +16320,,,1.0,t +33551,,,1.0,t +44919,,Russian Federation,1.0,t +34905,,Uzbekistan,1.0,f +24455,,Chile,1.0,t +24105,,Guernsey,1.0,t +2978,,,1.0,t +32564,100%,Niue,1.0,t +9947,,,1.0,f +12058,100%,,1.0,t +48813,100%,Jersey,1.0,f +8073,100%,,2.0,f +31826,100%,Guinea,3.0,f +8073,100%,,2.0,f +33020,100%,Russian Federation,1.0,f +2676,100%,Faroe Islands,1.0,t +13229,100%,Sao Tome and Principe,1.0,t +14127,,Chad,1.0,t +33479,,Croatia,1.0,f +35955,,Barbados,2.0,f +18158,,Isle of Man,1.0,t +49978,,,1.0,t +24437,,,1.0,f +38048,,,1.0,f +37376,,Russian Federation,1.0,f +37161,,Monaco,1.0,f +6818,,Marshall Islands,1.0,t +45000,100%,Montserrat,10.0,t +13413,,Chile,3.0,t +11451,,Peru,1.0,t +24886,,Estonia,1.0,t +20747,,Isle of Man,1.0,f +20674,,,1.0,f +35297,,Sao Tome and Principe,1.0,t +4301,,Tonga,1.0,t +20291,,Gibraltar,2.0,t +36228,100%,Lebanon,1.0,t +44002,,Reunion,1.0,t +5717,,,1.0,t +44010,,,1.0,f +12478,100%,Turkmenistan,1.0,t +37931,,Russian Federation,1.0,t +9187,100%,Zimbabwe,3.0,f +29397,71%,,1.0,t +21909,100%,Christmas Island,3.0,f +44918,,Slovakia (Slovak Republic),1.0,f +8324,,United Kingdom,1.0,t +4625,100%,,1.0,t +2637,,,1.0,f +4818,,,1.0,f +520,100%,France,1.0,f +44225,,Gibraltar,1.0,f +45082,,Monaco,2.0,t +36179,,Holy See (Vatican City State),1.0,f +48306,,,1.0,f +26815,,,1.0,t +42514,0%,Poland,1.0,t +8834,,Nicaragua,1.0,t +5112,,Lithuania,1.0,f +3073,,Zimbabwe,1.0,t +399,80%,Papua New Guinea,2.0,t +18169,,Turks and Caicos Islands,1.0,t +22506,100%,,1.0,t +29998,,Cocos (Keeling) Islands,2.0,f +807,,,1.0,t +1819,97%,Malta,3.0,t +28997,100%,Slovenia,2.0,t +27716,,French Guiana,1.0,f +17236,,Finland,1.0,t +10537,100%,Zimbabwe,1.0,t +10575,100%,Bouvet Island (Bouvetoya),3.0,t +46876,,Kenya,1.0,f +39189,100%,Tunisia,1.0,t +48484,80%,Faroe Islands,3.0,f +46543,100%,,2.0,t +13004,100%,Isle of Man,1.0,t +5741,,Cuba,1.0,f +48545,,,1.0,t +47806,100%,Ukraine,1.0,t +46926,,Uzbekistan,1.0,t +28729,100%,,2.0,t +30757,90%,Croatia,2.0,f +39609,,United Kingdom,1.0,f +19004,100%,Russian Federation,1.0,t +35955,,Barbados,2.0,f +2795,100%,Montserrat,2.0,t +7666,,Lebanon,1.0,t +18993,100%,Reunion,2.0,t +44824,,Isle of Man,1.0,t +12232,,Netherlands,1.0,t +27523,,,1.0,t +18677,,Russian Federation,1.0,t +7818,,Cape Verde,1.0,t +20601,,Isle of Man,1.0,f +30233,33%,Marshall Islands,3.0,t +45165,,Niue,2.0,t +8189,100%,Chile,2.0,t +29550,,Guinea,1.0,t +31971,,Suriname,2.0,t +21574,,,1.0,t +14352,,,1.0,f +19507,100%,,1.0,t +42755,,Tanzania,1.0,t +21250,,,1.0,t +40580,,Malta,1.0,f +48541,,Russian Federation,2.0,t +34996,,Russian Federation,1.0,f +35901,100%,Ecuador,2.0,t +21129,,Guinea,1.0,f +3590,100%,Sao Tome and Principe,1.0,f +45270,100%,Jersey,1.0,t +40176,,Ghana,1.0,t +17019,,Netherlands,1.0,t +43152,100%,Nicaragua,82.0,t +47491,88%,,2.0,f +38098,100%,Zimbabwe,7.0,t +2687,,Uzbekistan,4.0,t +14897,100%,Russian Federation,2.0,t +30564,,Guinea,1.0,f +30884,,Isle of Man,1.0,t +6021,,,1.0,f +23200,100%,Croatia,1.0,t +18199,,Philippines,1.0,f +11756,,,1.0,f +14662,,Monaco,1.0,f +47368,,,1.0,f +34682,,Libyan Arab Jamahiriya,1.0,f +4031,,Kenya,1.0,t +26772,,Senegal,1.0,f +21432,,Guinea,1.0,f +4532,,,1.0,t +7546,,Switzerland,1.0,f +20014,,Uzbekistan,1.0,t +19604,,,1.0,f +34841,100%,Zimbabwe,22.0,t +9436,,Turkmenistan,1.0,t +48029,100%,Malta,2.0,f +925,,Kenya,1.0,f +5054,100%,China,4.0,t +10575,100%,Bouvet Island (Bouvetoya),3.0,t +34770,,,1.0,f +8402,,,1.0,f +1519,,Turkmenistan,3.0,t +23265,70%,,2.0,f +47547,100%,,1.0,f +20975,100%,Gambia,2.0,f +30868,,,1.0,f +23755,,Kiribati,3.0,t +10331,,Niue,1.0,t +1540,100%,Cuba,1.0,f +45008,,,1.0,f +23453,,Kenya,1.0,f +31971,,Suriname,2.0,t +15692,,Lebanon,1.0,f +10934,,Niue,1.0,t +4666,100%,Tonga,1.0,t +30692,,United Kingdom,1.0,t +27524,100%,Palestinian Territory,1.0,f +41316,,Ghana,3.0,f +12725,,Tunisia,1.0,f +42159,,,1.0,f +5354,,Bosnia and Herzegovina,1.0,f +8430,,Peru,7.0,t +15436,,Tonga,1.0,t +11047,96%,Senegal,3.0,t +21437,,Croatia,2.0,t +44097,100%,Solomon Islands,4.0,f +49685,100%,Brazil,2.0,t +15220,,,1.0,t +20606,100%,Congo,6.0,t +31720,,,1.0,f +3952,,Lithuania,1.0,t +29600,100%,Guinea,2.0,t +44762,100%,Estonia,1.0,t +406,50%,Gibraltar,1.0,t +41862,,Gibraltar,1.0,t +300,100%,France,2.0,t +28286,,Niue,1.0,f +22853,,Uzbekistan,2.0,t +24911,100%,,1.0,f +1223,,Cape Verde,1.0,t +20289,,Niue,1.0,t +3984,60%,Christmas Island,1.0,t +10166,100%,Isle of Man,2.0,t +23213,,Niue,1.0,t +30402,89%,Zimbabwe,2.0,t +45987,100%,Jersey,6.0,t +21349,100%,,1.0,f +20436,100%,Estonia,1.0,t +3546,,Gambia,1.0,f +37369,,,1.0,f +33491,100%,Marshall Islands,1.0,f +25257,,Sao Tome and Principe,1.0,f +38478,67%,Vanuatu,1.0,t +18798,,Monaco,1.0,f +19464,,Croatia,1.0,f +14385,,Mexico,1.0,t +21068,,Gambia,1.0,f +2016,,Tonga,1.0,t +28284,100%,Lithuania,2.0,f +44175,90%,,2.0,t +13289,,Bosnia and Herzegovina,1.0,f +9114,94%,Sao Tome and Principe,4.0,t +6472,100%,Guinea,2.0,f +44152,,Malta,1.0,f +45084,,Gambia,1.0,t +4876,,Senegal,9.0,f +32129,,Gambia,1.0,t +40468,,Uzbekistan,1.0,t +42379,100%,Cocos (Keeling) Islands,5.0,f +47854,,Netherlands,1.0,f +3289,,Malta,1.0,f +5713,,Nauru,1.0,t +28290,,Philippines,1.0,f +34786,,,1.0,f +28154,100%,,2.0,t +49671,100%,Senegal,2.0,t +10929,,Niger,1.0,f +16409,,French Guiana,1.0,f +34916,100%,,2.0,f +28859,,Congo,1.0,t +49589,,,1.0,t +16458,100%,Marshall Islands,1.0,t +13680,,Mauritania,1.0,f +44449,100%,El Salvador,2.0,t +43152,100%,Nicaragua,82.0,t +34431,,Russian Federation,1.0,t +8108,,French Guiana,1.0,f +22339,100%,Tonga,3.0,t +45781,,Bosnia and Herzegovina,1.0,t +22533,,Isle of Man,1.0,t +1180,,China,1.0,t +23892,,Tunisia,1.0,t +1254,100%,,1.0,t +25250,100%,,1.0,f +14361,,Maldives,1.0,f +35976,100%,,6.0,t +11047,96%,Senegal,3.0,t +44987,,,1.0,t +16231,100%,Guinea,1.0,t +33644,100%,Sao Tome and Principe,2.0,f +14603,100%,,1.0,f +16382,100%,Somalia,5.0,t +41028,100%,Micronesia,1.0,f +2164,82%,Rwanda,5.0,t +19943,63%,Isle of Man,34.0,f +30402,89%,Zimbabwe,2.0,t +10676,50%,,1.0,t +18249,,Niue,1.0,t +16382,100%,Somalia,5.0,t +5191,,Rwanda,1.0,f +25200,,Niue,1.0,t +5091,,Chad,1.0,f +22013,100%,Micronesia,4.0,f +48823,100%,,1.0,t +7637,,Mexico,1.0,f +15687,,Venezuela,1.0,t +17602,100%,,1.0,t +32513,,Russian Federation,1.0,t +40605,,,1.0,t +47167,,Denmark,1.0,t +9205,,,1.0,f +14778,,,1.0,f +1725,90%,France,3.0,f +33177,,Cape Verde,1.0,f +30828,,Saint Helena,1.0,f +5532,,Jersey,1.0,f +27548,100%,Finland,4.0,f +43900,,French Guiana,1.0,f +28544,,Maldives,1.0,f +29101,70%,,1.0,f +6928,,,3.0,t +34197,,Isle of Man,1.0,t +32774,,Guernsey,1.0,t +36619,100%,Chad,1.0,t +25529,,Niue,1.0,f +33046,,Niue,1.0,f +22948,,Montserrat,1.0,t +33082,,,1.0,t +10477,,Bahrain,1.0,f +46932,,,1.0,f +14764,,,1.0,t +37682,,Kiribati,2.0,f +6237,,Nicaragua,1.0,f +23777,,Chad,2.0,f +49647,100%,Marshall Islands,1.0,f +30727,,,1.0,f +13746,,Svalbard & Jan Mayen Islands,1.0,t +28054,,Sao Tome and Principe,1.0,f +1366,25%,Fiji,4.0,f +2413,,Barbados,1.0,t +38105,,Bosnia and Herzegovina,1.0,f +38499,,Croatia,1.0,t +42578,,Croatia,1.0,t +27015,100%,Kenya,2.0,t +27867,100%,Rwanda,1.0,t +24619,100%,,4.0,t +9919,,Ecuador,1.0,f +1204,100%,Chile,1.0,t +3920,,,1.0,t +21725,,,1.0,f +37502,100%,Croatia,6.0,t +3145,100%,Micronesia,3.0,t +37502,100%,Croatia,6.0,t +41645,100%,,1.0,f +40639,,,1.0,t +19135,,Sao Tome and Principe,1.0,t +6786,,Niue,1.0,t +41768,,Afghanistan,1.0,t +10373,90%,Bouvet Island (Bouvetoya),2.0,f +45092,,French Guiana,1.0,f +1251,,,1.0,f +38058,,Rwanda,1.0,f +21146,,,1.0,f +6831,,Montserrat,1.0,t +19564,100%,Turks and Caicos Islands,2.0,t +49410,,,1.0,t +26861,100%,Monaco,1.0,t +13701,90%,Uzbekistan,2.0,t +43785,,Russian Federation,1.0,t +16386,100%,Uzbekistan,1.0,t +41921,,Maldives,1.0,t +35409,,,1.0,f +22811,,Russian Federation,1.0,t +1914,90%,Chad,1.0,t +6989,100%,Indonesia,1.0,f +24827,100%,Gibraltar,3.0,f +40541,,Marshall Islands,1.0,f +35669,,,1.0,t +18620,,Faroe Islands,1.0,f +38419,,Peru,2.0,t +13920,100%,,3.0,t +36848,,Jersey,1.0,t +42269,94%,Russian Federation,3.0,t +417,100%,Monaco,2.0,t +27694,,Tonga,1.0,f +42426,83%,,2.0,f +2687,,Uzbekistan,4.0,t +10579,,El Salvador,1.0,f +11949,100%,,1.0,t +5242,,Malta,1.0,f +31415,,Tonga,4.0,t +49173,,Mauritania,1.0,f +27391,,,2.0,t +5612,,Chad,1.0,t +25470,100%,,1.0,t +9902,100%,Gibraltar,2.0,t +22937,100%,Papua New Guinea,1.0,f +45242,100%,Christmas Island,2.0,t +8012,100%,Sao Tome and Principe,2.0,t +28293,,Sao Tome and Principe,1.0,t +32174,,Gibraltar,1.0,f +29714,75%,Indonesia,1.0,t +45654,,,1.0,t +26044,100%,Gibraltar,1.0,f +28050,100%,Malta,1.0,f +23537,,Russian Federation,1.0,f +4449,,Malta,1.0,f +42731,,Lebanon,1.0,t +49191,,Nauru,1.0,t +12844,,,3.0,t +30538,,Bosnia and Herzegovina,1.0,t +25764,100%,,1.0,t +36587,,,1.0,f +24569,100%,Lebanon,1.0,f +23154,100%,France,1.0,t +9918,,,1.0,f +34463,100%,,1.0,t +1291,0%,,1.0,f +45242,100%,Christmas Island,2.0,t +17848,,Indonesia,1.0,t +46771,80%,Isle of Man,1.0,f +13082,100%,Kiribati,3.0,t +48765,100%,Kenya,1.0,t +19347,,Rwanda,1.0,f +18779,100%,Mexico,4.0,t +49934,100%,Liberia,9.0,t +13709,,Ecuador,1.0,t +21,,Sao Tome and Principe,1.0,t +1123,,Korea,1.0,f +38133,67%,,1.0,t +1966,,,1.0,t +28952,,Gibraltar,1.0,t +9798,,Mauritania,2.0,t +3880,,Lithuania,1.0,t +42523,60%,,1.0,t +18414,,United Kingdom,1.0,f +7426,,Marshall Islands,1.0,f +38092,,,1.0,t +37682,,Kiribati,2.0,f +19091,95%,Cook Islands,18.0,t +3743,100%,Kiribati,1.0,t +26325,100%,Uganda,2.0,t +32488,,Senegal,17.0,t +32488,,Senegal,17.0,t +12493,70%,Sao Tome and Principe,4.0,t +11449,100%,,1.0,t +48770,,Chile,1.0,f +45608,100%,,1.0,t +509,,Croatia,1.0,t +25282,100%,Malta,1.0,t +20746,90%,,3.0,f +26053,,Grenada,1.0,t +6652,,,1.0,t +44976,100%,Uzbekistan,1.0,f +31254,,Denmark,1.0,t +27455,100%,Uganda,1.0,t +48727,100%,Russian Federation,1.0,t +26693,,Sao Tome and Principe,1.0,f +7937,100%,Senegal,2.0,t +19926,,Tanzania,1.0,f +24793,,Niue,1.0,t +25294,,,1.0,t +18148,,Lebanon,1.0,f +10815,100%,Isle of Man,1.0,t +6228,75%,Libyan Arab Jamahiriya,1.0,f +362,100%,,1.0,f +5946,,,1.0,t +35390,,Croatia,1.0,t +45248,0%,Kiribati,1.0,f +41545,,French Guiana,1.0,t +24253,100%,Malawi,1.0,f +26273,89%,Niue,1.0,f +24415,,United Kingdom,1.0,t +1419,100%,Maldives,1.0,t +7012,,Afghanistan,1.0,f +19624,,Denmark,1.0,f +49285,100%,,1.0,f +37756,,Peru,1.0,f +29387,,Bosnia and Herzegovina,1.0,t +24435,,Isle of Man,1.0,t +2318,70%,,1.0,t +22831,,Croatia,1.0,t +35863,,Afghanistan,3.0,t +6787,100%,,1.0,t +24465,100%,Zimbabwe,1.0,t +15561,,Marshall Islands,1.0,f +36360,,,1.0,t +32445,,Papua New Guinea,1.0,t +22048,100%,Marshall Islands,3.0,t +27259,,Lebanon,1.0,f +6080,70%,French Guiana,1.0,f +14153,100%,Guinea,1.0,f +39202,100%,,1.0,t +25702,,,1.0,t +7738,,Russian Federation,1.0,t +908,,,1.0,f +37925,100%,Gambia,2.0,t +14737,,Kenya,1.0,f +6287,100%,Sao Tome and Principe,1.0,f +43824,100%,Cocos (Keeling) Islands,1.0,t +44255,,Chad,1.0,t +4715,,Lebanon,1.0,t +5770,100%,Zimbabwe,1.0,t +26440,,Maldives,1.0,f +44917,0%,,2.0,f +40420,,Kiribati,1.0,f +15032,,,1.0,t +25497,,Guinea,1.0,t +9063,,,1.0,f +14906,,Ecuador,1.0,t +5131,100%,Sao Tome and Principe,2.0,t +22537,100%,Indonesia,1.0,t +47054,,Brunei Darussalam,6.0,f +23629,,,1.0,f +378,,Gambia,1.0,f +18079,100%,,1.0,t +10121,,,1.0,t +15722,100%,Turkmenistan,11.0,t +12450,,Malawi,1.0,t +6037,80%,Guinea,9.0,t +35551,,,1.0,f +5404,,Turkmenistan,1.0,t +3684,,,1.0,f +44544,0%,Gibraltar,2.0,f +18806,100%,Vietnam,6.0,t +43706,,,1.0,f +37969,80%,Indonesia,3.0,f +7543,,Anguilla,2.0,t +48127,,Micronesia,1.0,t +46388,,Kenya,1.0,f +8805,,,1.0,t +12643,,Uzbekistan,1.0,t +44928,100%,,1.0,t +9608,,Lebanon,1.0,t +33662,,Chad,1.0,t +26258,100%,Sao Tome and Principe,2.0,f +44497,,China,1.0,t +26950,,Guinea,1.0,t +17146,100%,Lebanon,1.0,t +48153,,,1.0,t +30143,,Brazil,1.0,f +35431,,Sao Tome and Principe,1.0,f +24406,,Afghanistan,4.0,t +18261,100%,Niue,1.0,t +1804,,,1.0,f +29658,100%,United Kingdom,4.0,f +13705,100%,Indonesia,2.0,t +6727,100%,Kiribati,2.0,t +6727,100%,Kiribati,2.0,t +17700,,,1.0,f +13705,100%,Indonesia,2.0,t +39250,,Mexico,1.0,t +30175,,Russian Federation,2.0,t +32857,,United Kingdom,1.0,t +36943,,Zimbabwe,2.0,t +16435,,,1.0,t +610,,,1.0,f +6273,100%,Lithuania,5.0,t +6273,100%,Lithuania,5.0,t +8816,,,1.0,f +8430,,Peru,7.0,t +28828,100%,Isle of Man,198.0,t +27766,75%,,1.0,t +37032,,Russian Federation,2.0,t +37032,,Russian Federation,2.0,t +19564,100%,Turks and Caicos Islands,2.0,t +35734,,,1.0,f +11321,,,1.0,f +3158,,Estonia,1.0,f +13766,,France,1.0,f +7761,,,1.0,f +47656,100%,,2.0,f +17275,,Turkmenistan,3.0,f +36919,100%,,1.0,t +40049,100%,,2.0,f +21728,,,1.0,t +47020,,Zimbabwe,1.0,f +13518,,Niger,1.0,f +36238,,,2.0,t +36631,,Sao Tome and Principe,1.0,t +18287,,,1.0,f +5649,0%,Guinea,2.0,f +13830,100%,Faroe Islands,2.0,t +4030,,Chile,1.0,f +43618,100%,United Kingdom,1.0,t +43557,,Switzerland,2.0,t +14438,,,1.0,f +14489,,Uganda,1.0,t +28828,100%,Isle of Man,198.0,t +38823,,Netherlands Antilles,1.0,t +41133,100%,,2.0,f +26997,,,1.0,t +29504,,Venezuela,1.0,t +47542,,Mauritania,1.0,f +4623,,Philippines,2.0,f +43613,100%,Rwanda,1.0,t +178,,,1.0,f +5389,,Niger,2.0,t +38963,,,1.0,t +353,,Andorra,1.0,f +5847,80%,Malta,2.0,f +43280,,,1.0,t +19277,,Mauritania,1.0,f +18533,90%,Russian Federation,5.0,t +11555,100%,Chile,1.0,t +22505,100%,Marshall Islands,1.0,t +9479,,Russian Federation,1.0,t +33354,,Nicaragua,2.0,t +8701,100%,Niue,1.0,f +27905,,Rwanda,1.0,f +33354,,Nicaragua,2.0,t +49534,,Indonesia,1.0,f +1601,100%,,1.0,t +29252,,Anguilla,1.0,t +29329,,Malta,1.0,f +34274,,Niue,1.0,t +26327,,,1.0,t +42474,,Afghanistan,1.0,t +36871,,Chile,1.0,t +48899,,Marshall Islands,1.0,f +4741,,Guinea,1.0,f +8257,100%,Niger,1.0,t +47333,100%,Niue,4.0,f +34576,,Lebanon,1.0,t +20746,90%,,3.0,f +15130,100%,,1.0,f +4773,100%,Micronesia,3.0,t +39870,,Slovakia (Slovak Republic),21.0,t +12194,,Senegal,1.0,t +48670,100%,Gambia,2.0,f +44777,100%,Russian Federation,1.0,t +9448,,,1.0,t +40185,,Switzerland,1.0,f +49715,,,1.0,t +36979,,Lebanon,1.0,f +38679,,Pakistan,1.0,t +19851,100%,Venezuela,2.0,t +43241,100%,,1.0,t +32593,82%,,6.0,t +45713,,Slovakia (Slovak Republic),1.0,f +36149,,Rwanda,1.0,f +12744,,Sao Tome and Principe,1.0,t +19961,,,1.0,t +34003,100%,Guinea,1.0,t +47731,,Bosnia and Herzegovina,1.0,f +23004,100%,El Salvador,1.0,t +28712,,,1.0,f +6959,95%,Slovakia (Slovak Republic),20.0,t +6096,,,1.0,t +16382,100%,Somalia,5.0,t +26715,,Lebanon,1.0,f +34891,,Lebanon,1.0,f +11272,,Lebanon,1.0,f +38148,100%,Holy See (Vatican City State),1.0,t +32931,,Lebanon,2.0,t +6073,,Turkmenistan,1.0,f +32933,100%,Somalia,2.0,f +44548,,Isle of Man,1.0,t +20224,,Sao Tome and Principe,1.0,f +9045,,Uzbekistan,1.0,t +31306,100%,Nicaragua,6.0,t +7836,,,1.0,f +1462,,,1.0,f +45100,,Gambia,1.0,t +26317,,Maldives,1.0,f +12872,,Grenada,2.0,f +34477,,El Salvador,1.0,f +29842,100%,Malta,1.0,f +3722,,Bosnia and Herzegovina,1.0,t +6088,100%,,14.0,t +5017,,Kenya,1.0,t +33161,,Isle of Man,1.0,t +27247,,Jersey,1.0,t +16286,,,1.0,t +5994,,Uzbekistan,2.0,f +32055,29%,,1.0,f +47815,50%,Bosnia and Herzegovina,1.0,f +25877,100%,Uzbekistan,2.0,f +24661,,Reunion,2.0,f +20328,57%,Niue,1.0,t +1391,,Congo,1.0,t +42965,100%,Uzbekistan,11.0,t +46434,100%,Christmas Island,1.0,t +15793,100%,,1.0,t +2377,,Chad,1.0,f +38730,100%,,1.0,t +3724,,,1.0,f +45147,,Rwanda,1.0,t +7709,0%,,1.0,f +32937,100%,,2.0,t +23827,100%,,1.0,t +40298,100%,,2.0,f +40799,100%,Togo,2.0,f +20769,,,, +21213,94%,Kiribati,5.0,t +5078,,Kiribati,1.0,f +30113,,Russian Federation,1.0,f +21123,,Russian Federation,1.0,f +38526,100%,,3.0,t +8467,100%,China,1.0,f +49159,,Montserrat,1.0,f +33308,,Maldives,2.0,t +28289,,Guernsey,1.0,f +40197,,,1.0,t +7575,100%,Kiribati,2.0,f +14509,80%,Isle of Man,2.0,f +19958,100%,Congo,40.0,t +21618,,,1.0,f +15259,,Nicaragua,2.0,t +15259,,Nicaragua,2.0,t +358,100%,Guernsey,1.0,t +31563,100%,Niue,3.0,f +31563,100%,Niue,3.0,f +31563,100%,Niue,3.0,f +33752,100%,,1.0,t +6273,100%,Lithuania,5.0,t +47054,,Brunei Darussalam,6.0,f +37602,,El Salvador,1.0,f +20867,100%,Guinea,4.0,t +28306,,Ecuador,1.0,t +34462,,,1.0,f +14281,,Chad,2.0,t +45188,100%,,1.0,t +47900,100%,Reunion,1.0,t +24978,100%,Christmas Island,1.0,t +15921,,,1.0,t +7920,100%,Zimbabwe,3.0,t +34537,100%,,1.0,t +23929,100%,Puerto Rico,1.0,f +43893,,Christmas Island,1.0,f +39167,,,1.0,f +18142,,,1.0,f +45546,100%,Cape Verde,19.0,t +11474,100%,Andorra,1.0,t +18599,,,1.0,t +19452,,,1.0,t +42750,,Guinea,1.0,t +46317,,,1.0,t +13600,,Marshall Islands,1.0,f +42444,,Zimbabwe,1.0,f +33191,,Saint Helena,1.0,f +14037,,Fiji,1.0,t +20995,,Lebanon,1.0,f +26006,,,1.0,f +5093,100%,Russian Federation,1.0,f +29949,80%,,2.0,t +20392,100%,Niue,1.0,t +30524,,Lebanon,1.0,f +19764,100%,,1.0,f +33823,78%,France,17.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +25759,,Estonia,1.0,t +15783,100%,,1.0,f +46093,100%,Monaco,2.0,t +25316,,Guernsey,2.0,f +30188,89%,El Salvador,2.0,t +33186,,Russian Federation,1.0,f +34597,100%,Slovakia (Slovak Republic),3.0,t +16055,,Brazil,1.0,t +31043,100%,Marshall Islands,1.0,t +32652,,Uzbekistan,1.0,f +24928,,Lebanon,1.0,t +17275,,Turkmenistan,3.0,f +20780,,Gibraltar,1.0,t +33024,,Lebanon,1.0,t +6389,,Malta,1.0,t +19816,,,1.0,t +46650,100%,Turks and Caicos Islands,4.0,t +46650,100%,Turks and Caicos Islands,4.0,t +46650,100%,Turks and Caicos Islands,4.0,t +37026,70%,,2.0,t +21274,100%,,2.0,t +7289,,,1.0,f +44342,,,1.0,t +29506,,Lebanon,1.0,f +3184,,Netherlands Antilles,1.0,f +12733,,Sao Tome and Principe,1.0,t +33174,,Pakistan,1.0,t +41301,100%,Costa Rica,9.0,t +47989,100%,,2.0,t +40991,,,1.0,f +47989,100%,,2.0,t +12645,,Micronesia,1.0,t +40673,,Marshall Islands,1.0,f +30881,,,1.0,t +21085,,Russian Federation,1.0,t +16422,100%,Russian Federation,6.0,f +20593,,Gambia,1.0,t +13715,,Kenya,1.0,f +14553,100%,,1.0,f +26942,100%,Gibraltar,1.0,t +31541,,Finland,1.0,f +17791,,Malta,1.0,f +28899,,Chad,1.0,t +43603,,Nauru,1.0,t +5902,100%,Nicaragua,1.0,f +15779,,,1.0,t +23933,90%,Kenya,1.0,f +11989,,Chad,1.0,f +34456,,Bosnia and Herzegovina,1.0,f +6044,,Croatia,1.0,t +27972,94%,Brazil,27.0,f +47899,,,1.0,t +13157,100%,,1.0,t +12578,,Maldives,1.0,f +40800,,Costa Rica,1.0,f +3121,95%,Zimbabwe,9.0,t +42548,100%,Lithuania,2.0,t +29188,100%,French Guiana,3.0,t +42449,,,1.0,t +41988,,Costa Rica,1.0,f +5482,100%,Niue,3.0,f +22363,,Lebanon,1.0,t +31873,99%,Uzbekistan,22.0,f +24956,100%,Lebanon,2.0,t +48282,100%,Niue,2.0,t +26259,100%,Kenya,2.0,t +23186,,,1.0,f +22444,,Niue,1.0,t +2628,100%,Russian Federation,1.0,t +24170,86%,Indonesia,1.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +9117,100%,,1.0,t +18471,100%,Faroe Islands,1.0,f +36618,,French Guiana,1.0,t +45163,100%,Chile,2.0,t +10300,,Tunisia,1.0,f +44789,100%,Slovakia (Slovak Republic),1.0,t +39017,,Croatia,1.0,f +13384,,,1.0,f +24354,,Maldives,1.0,t +38038,,Senegal,1.0,f +15759,,Tonga,4.0,t +15759,,Tonga,4.0,t +14986,,Faroe Islands,1.0,t +25685,,Barbados,2.0,t +48762,,,1.0,t +21329,,,1.0,f +24180,100%,French Guiana,1.0,f +48920,100%,,3.0,t +29775,,,1.0,f +3181,100%,,2.0,f +23744,,Bouvet Island (Bouvetoya),1.0,t +2108,100%,Vanuatu,1.0,f +29913,100%,Isle of Man,1.0,t +26468,,,1.0,t +8979,100%,Micronesia,9.0,t +40776,,,1.0,f +8189,100%,Chile,2.0,t +47054,,Brunei Darussalam,6.0,f +30391,57%,Russian Federation,1.0,f +35732,,Uzbekistan,1.0,t +48374,83%,Kenya,2.0,t +28441,,,1.0,f +18367,,United Kingdom,1.0,t +13278,95%,Isle of Man,7.0,f +36680,,Andorra,1.0,t +35287,,Turkmenistan,1.0,f +6357,,,1.0,t +46613,,Zimbabwe,2.0,f +4016,100%,Venezuela,2.0,f +42798,,El Salvador,1.0,t +19256,,Isle of Man,1.0,f +18860,100%,,4.0,t +35316,100%,Netherlands Antilles,1.0,t +5343,100%,Faroe Islands,1.0,f +24706,,Anguilla,1.0,f +25794,100%,Estonia,2.0,t +45952,,Lithuania,1.0,t +34002,,Zimbabwe,1.0,t +17223,,Niue,1.0,f +44969,,,1.0,t +19519,,,1.0,f +22822,,,3.0,f +14958,100%,,1.0,t +23263,100%,Faroe Islands,1.0,f +16954,,,1.0,f +23784,,Uzbekistan,1.0,t +15592,,Turks and Caicos Islands,1.0,f +4273,,Sao Tome and Principe,1.0,t +3977,,Nicaragua,1.0,f +27173,,,1.0,t +21645,,Chile,1.0,t +12872,,Grenada,2.0,f +31851,,United Kingdom,1.0,f +15058,,,1.0,f +34074,,Faroe Islands,2.0,t +21564,,,1.0,t +38456,,Vietnam,1.0,t +12174,,Micronesia,1.0,f +48489,100%,Gambia,2.0,t +11877,,Maldives,1.0,t +18038,,,1.0,f +46304,,Maldives,1.0,t +43311,,Indonesia,1.0,f +49528,0%,,1.0,f +21680,100%,,1.0,t +7599,,Turkmenistan,1.0,f +35688,,Tanzania,1.0,t +10047,,Niue,2.0,t +10047,,Niue,2.0,t +28048,100%,,5.0,f +48828,,French Guiana,1.0,t +29647,100%,Peru,1305.0,f +44616,,,1.0,f +3297,,,1.0,f +15392,,,1.0,f +20380,,Croatia,1.0,t +6838,96%,Spain,59.0,t +7427,,Anguilla,1.0,f +27229,100%,Malta,1.0,t +32868,,Sao Tome and Principe,1.0,f +31662,,Malta,1.0,f +3257,,,1.0,f +15264,,Maldives,1.0,f +7203,,Niger,1.0,t +13009,,United Kingdom,1.0,t +9710,,Gambia,1.0,t +23109,,Faroe Islands,1.0,t +368,,Russian Federation,1.0,t +33210,100%,,1.0,f +44233,,Malta,3.0,t +32639,,Gambia,2.0,f +34413,,Tunisia,1.0,f +26667,,Djibouti,1.0,f +16746,,,1.0,t +44233,,Malta,3.0,t +37581,,,1.0,t +29587,,Cook Islands,1.0,f +42250,100%,,2.0,t +20667,,Nicaragua,1.0,f +17265,,Malawi,1.0,t +32544,100%,Gambia,1.0,f +11434,100%,,1.0,t +44921,,Wallis and Futuna,3.0,t +8979,100%,Micronesia,9.0,t +32631,,Chile,1.0,f +42046,,Kiribati,7.0,t +38985,,Lebanon,1.0,t +18922,,,1.0,f +48517,,Indonesia,1.0,f +44528,80%,Russian Federation,1.0,f +37236,100%,China,3.0,f +2662,,,1.0,f +35736,,,1.0,f +5482,100%,Niue,3.0,f +37314,100%,,1.0,f +33346,,Lebanon,1.0,f +28041,,Guernsey,1.0,f +44917,0%,,2.0,f +45593,100%,Micronesia,3.0,t +16968,,,1.0,t +18732,,France,1.0,f +34297,,Brazil,1.0,t +7847,100%,Marshall Islands,2.0,t +49556,,French Guiana,1.0,t +31494,100%,Puerto Rico,2.0,f +28769,,,1.0,t +2256,100%,,1.0,f +35179,100%,Faroe Islands,1.0,f +34597,100%,Slovakia (Slovak Republic),3.0,t +45027,,Bosnia and Herzegovina,1.0,f +17275,,Turkmenistan,3.0,f +42131,,Bouvet Island (Bouvetoya),1.0,t +14477,100%,Reunion,26.0,t +39976,100%,Finland,1.0,t +40207,100%,,2.0,t +38771,100%,Guernsey,1.0,f +35131,100%,Faroe Islands,1.0,t +25105,100%,Uzbekistan,2.0,t +29822,90%,Brazil,11.0,t +42046,,Kiribati,7.0,t +44784,,Malta,1.0,f +15430,,,2.0,t +11478,,,1.0,t +46792,,Sao Tome and Principe,1.0,t +46067,,Rwanda,1.0,t +43812,,,1.0,f +39537,,,1.0,f +2671,100%,Uzbekistan,2.0,t +22667,75%,Gambia,1.0,t +23791,,,1.0,t +26098,,Sao Tome and Principe,1.0,t +14350,100%,Nauru,2.0,f +12087,,Jersey,2.0,f +29013,100%,Brazil,1.0,t +20676,,,1.0,t +26783,60%,,2.0,f +5304,,Isle of Man,1.0,f +26783,60%,,2.0,f +35048,,Sao Tome and Principe,1.0,f +45472,,Zimbabwe,1.0,t +18662,70%,Uruguay,4.0,t +32295,,,3.0,f +32295,,,3.0,f +32295,,,3.0,f +11163,,Gambia,1.0,f +27120,,Lebanon,1.0,f +20954,,Guinea,1.0,t +11618,,Montserrat,2.0,f +36705,,Niue,1.0,f +28824,50%,Estonia,2.0,f +2113,100%,Venezuela,1.0,t +40337,,Ecuador,2.0,t +21737,88%,Sao Tome and Principe,2.0,f +41170,,Christmas Island,1.0,t +34111,,Chile,1.0,t +47688,,,1.0,t +29654,78%,French Guiana,1.0,f +29592,83%,Andorra,1.0,t +41878,91%,Maldives,47.0,f +49147,83%,Turkmenistan,2.0,f +18930,,Gambia,1.0,f +43879,,Kenya,1.0,t +15904,100%,Afghanistan,2.0,f +42535,,Nauru,1.0,t +6799,75%,,1.0,f +2285,100%,,1.0,f +19903,60%,,2.0,t +29159,,Lithuania,1.0,t +827,,Sao Tome and Principe,1.0,f +16842,100%,Tanzania,2.0,t +35621,,Uzbekistan,1.0,t +43031,,,1.0,t +14897,100%,Russian Federation,2.0,t +6860,,Djibouti,1.0,f +20106,100%,,1.0,f +44646,,Uzbekistan,1.0,t +4154,,French Guiana,2.0,t +6521,100%,Nicaragua,1.0,t +11444,,Malta,1.0,f +31840,100%,Denmark,1.0,f +40209,,,1.0,f +47357,,Jersey,1.0,f +38957,,Kiribati,1.0,f +27972,94%,Brazil,27.0,f +20579,100%,,1.0,f +2123,,Russian Federation,1.0,f +45055,,Brazil,3.0,t +34607,,Congo,1.0,t +6152,,Nauru,2.0,t +46719,,Maldives,1.0,t +2696,,Maldives,2.0,f +1577,100%,Peru,8.0,t +24755,,,1.0,t +32024,,,1.0,t +36718,,,1.0,t +26423,,Monaco,1.0,f +33077,,,1.0,t +27807,,Lebanon,1.0,t +43076,100%,Jersey,2.0,t +41927,,Marshall Islands,1.0,f +12345,,Pakistan,1.0,t +19612,,Jersey,1.0,t +20523,100%,Svalbard & Jan Mayen Islands,1.0,f +42191,,Bouvet Island (Bouvetoya),1.0,t +10256,100%,Lebanon,1.0,t +22988,,Libyan Arab Jamahiriya,1.0,t +24865,,,2.0,f +24955,,Marshall Islands,1.0,f +35454,100%,China,9.0,f +49064,100%,Lebanon,2.0,f +3181,100%,,2.0,f +16925,,,1.0,f +19615,,Lebanon,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +35454,100%,China,9.0,f +17355,,Nauru,1.0,f +35454,100%,China,9.0,f +17010,100%,United Kingdom,2.0,t +22794,50%,Cape Verde,36.0,t +35454,100%,China,9.0,f +22269,100%,Monaco,1.0,f +18220,,Kenya,1.0,f +48334,100%,Guinea,12.0,f +48334,100%,Guinea,12.0,f +48334,100%,Guinea,12.0,f +45255,100%,Lebanon,5.0,t +22892,100%,,1.0,t +26850,,Somalia,1.0,t +11618,,Montserrat,2.0,f +42815,100%,Kenya,3.0,t +36641,100%,Vietnam,5.0,f +45449,100%,El Salvador,1.0,t +27183,100%,Mauritania,2.0,f +2038,,Lebanon,1.0,t +669,,Niue,1.0,t +26359,,,1.0,f +42102,,Tonga,1.0,f +18345,,Puerto Rico,1.0,t +43904,,United Kingdom,1.0,t +498,,Lebanon,1.0,f +7844,100%,Bahrain,1.0,f +48287,,Niue,1.0,f +34700,,Palestinian Territory,1.0,f +25982,,Bouvet Island (Bouvetoya),1.0,t +28832,,Nicaragua,2.0,t +2029,,El Salvador,1.0,t +11772,,Guinea,1.0,f +10996,100%,Russian Federation,3.0,t +33335,100%,Gibraltar,3.0,t +37335,,Reunion,2.0,t +6423,,Malta,2.0,t +23540,75%,,1.0,f +34366,,Zimbabwe,1.0,f +36713,0%,Cape Verde,1.0,t +49997,,Montserrat,1.0,t +35062,,Guernsey,2.0,t +34719,,Gambia,1.0,f +39554,,,1.0,t +23965,,Marshall Islands,1.0,t +37798,,France,1.0,t +47054,,Brunei Darussalam,6.0,f +38265,100%,Montserrat,3.0,t +24852,100%,Wallis and Futuna,3.0,f +39791,,,1.0,f +9680,,Uzbekistan,1.0,t +16886,,Faroe Islands,1.0,f +44993,,Niue,1.0,t +2684,,Tanzania,1.0,f +15717,,United Kingdom,1.0,f +33305,,Malta,1.0,t +29990,86%,,1.0,t +38845,,Niue,1.0,f +3163,100%,Nicaragua,1.0,f +5493,50%,,2.0,f +5322,,,1.0,f +29678,100%,Nicaragua,1.0,f +13992,,Maldives,1.0,t +25507,100%,Malta,3.0,f +21884,,Isle of Man,1.0,t +48662,,Bahrain,1.0,t +35406,87%,Indonesia,3.0,f +22931,100%,,1.0,f +18087,,Uganda,2.0,t +21286,100%,Tonga,6.0,t +17010,100%,United Kingdom,2.0,t +18742,,Vanuatu,1.0,f +22091,100%,Faroe Islands,9.0,f +39870,,Slovakia (Slovak Republic),21.0,t +1819,97%,Malta,3.0,t +27972,94%,Brazil,27.0,f +16717,,Malta,1.0,f +41027,100%,Russian Federation,1.0,t +47168,100%,Netherlands,8.0,f +35971,,Kiribati,1.0,f +18087,,Uganda,2.0,t +28186,88%,,1.0,t +29493,,Zimbabwe,1.0,t +21107,,Indonesia,1.0,f +29753,100%,El Salvador,3.0,t +14075,100%,Indonesia,2.0,t +484,100%,Nicaragua,1.0,t +19853,,Brazil,1.0,t +38217,,Mauritania,1.0,f +550,100%,Vietnam,2.0,f +37361,,Monaco,1.0,t +28664,100%,,1.0,t +36663,,Ghana,5.0,t +43449,,Costa Rica,1.0,t +24469,100%,Montserrat,1.0,t +9190,,Lebanon,1.0,f +18829,100%,Indonesia,4.0,t +14238,,Maldives,1.0,f +30489,,Venezuela,2.0,t +15734,,Turkmenistan,5.0,t +24894,60%,Christmas Island,1.0,f +12633,,Cape Verde,1.0,f +46189,,Uzbekistan,2.0,f +23683,,,1.0,f +12783,,Micronesia,1.0,f +27366,100%,Uzbekistan,9.0,t +42089,100%,,1.0,t +17431,,Kenya,1.0,f +21075,,Uzbekistan,2.0,t +36079,,Ghana,1.0,f +30472,100%,Micronesia,2.0,f +21883,,Bahrain,11.0,t +46306,100%,Monaco,1.0,f +30570,,Chile,1.0,t +14734,,Niue,1.0,f +7575,100%,Kiribati,2.0,f +5457,100%,Niue,5.0,t +34508,,Chile,1.0,f +12104,,,2.0,f +10996,100%,Russian Federation,3.0,t +31329,,Christmas Island,2.0,t +30987,100%,Monaco,1.0,t +40706,100%,,2.0,f +18543,,Lebanon,1.0,f +12925,,Lebanon,1.0,t +24320,,Libyan Arab Jamahiriya,1.0,t +15624,,Croatia,1.0,t +37625,,,1.0,f +9200,,Russian Federation,1.0,t +47341,100%,Lithuania,2.0,t +31557,,Niue,1.0,t +28168,100%,Micronesia,1.0,t +32871,0%,French Guiana,1.0,t +30673,,Marshall Islands,1.0,t +6660,100%,Guinea,2.0,t +22862,,,1.0,t +48318,,French Guiana,2.0,t +46571,,Senegal,1.0,t +39553,,Pakistan,1.0,f +9294,,Russian Federation,1.0,f +37126,,Jersey,1.0,f +26607,,Moldova,1.0,t +5229,,Niue,1.0,f +9949,100%,Croatia,1.0,t +29384,,Niger,1.0,f +38455,100%,Lebanon,2.0,t +12914,,Lithuania,1.0,f +15719,100%,,1.0,f +19848,,Mauritania,1.0,f +9580,,,1.0,f +14674,,Maldives,1.0,f +44716,,Marshall Islands,1.0,f +34053,,,1.0,t +10936,,,1.0,f +35362,,Gambia,1.0,f +15900,100%,Turks and Caicos Islands,2.0,f +2787,,Uzbekistan,1.0,f +3363,100%,,2.0,t +8969,,Micronesia,1.0,t +46862,,Lebanon,1.0,t +27046,,,1.0,t +2786,100%,,1.0,f +3363,100%,,2.0,t +2641,,,1.0,f +46585,,Russian Federation,2.0,t +16161,,,1.0,t +47190,,Zimbabwe,1.0,t +49263,90%,Micronesia,3.0,t +20121,,Guernsey,1.0,t +38491,100%,Rwanda,3.0,t +10069,,Malta,2.0,f +19583,,Lebanon,1.0,t +31511,,,1.0,t +29256,,Sao Tome and Principe,1.0,t +34338,,Niue,1.0,t +24612,,Malawi,1.0,f +48596,,,1.0,f +24042,,Philippines,1.0,t +10133,,,1.0,t +19681,,,2.0,t +33613,,Guernsey,1.0,f +28225,100%,Turkmenistan,1.0,f +45036,0%,,1.0,f +5441,89%,,1.0,t +9951,,,1.0,f +45727,,Niue,1.0,t +42204,,Micronesia,2.0,t +39566,,Sao Tome and Principe,4.0,t +45987,100%,Jersey,6.0,t +42965,100%,Uzbekistan,11.0,t +14527,83%,Greenland,1.0,t +16382,100%,Somalia,5.0,t +10719,100%,,1.0,t +40349,,,1.0,f +41999,,Mexico,1.0,f +47327,100%,,2.0,f +3118,,Malta,1.0,t +36131,100%,Bouvet Island (Bouvetoya),6.0,f +19438,,Bosnia and Herzegovina,1.0,t +37092,,Pakistan,1.0,f +47656,100%,,2.0,f +10867,100%,Malawi,1.0,t +48686,0%,Gambia,1.0,f +27451,100%,Zimbabwe,1.0,t +18217,,French Guiana,2.0,f +15591,,Bosnia and Herzegovina,1.0,t +36644,100%,Ecuador,4.0,t +2643,,Anguilla,1.0,t +35927,100%,Bosnia and Herzegovina,1.0,t +19286,,Tonga,1.0,t +43078,,Turks and Caicos Islands,1.0,f +17541,100%,Niue,2.0,f +50031,,,1.0,f +2630,,Zimbabwe,1.0,t +37151,40%,Zimbabwe,1.0,f +22339,100%,Tonga,3.0,t +19145,100%,,1.0,t +35898,33%,Niue,3.0,t +39200,100%,El Salvador,2.0,t +22704,100%,Malta,1.0,f +19903,60%,,2.0,t +13277,100%,Rwanda,2.0,t +7363,,Ghana,1.0,f +39200,100%,El Salvador,2.0,t +37612,,Gambia,2.0,t +22735,,Gambia,1.0,f +2140,100%,,1.0,f +23621,100%,,1.0,t +45919,100%,Montserrat,9.0,t +22634,100%,Gambia,3.0,f +4489,,Somalia,1.0,f +4281,,Niue,1.0,t +19374,100%,Gambia,2.0,t +12446,100%,,2.0,t +23730,,Gambia,1.0,f +43462,,,1.0,t +32717,,Guinea,1.0,f +49053,94%,Indonesia,4.0,t +5457,100%,Niue,5.0,t +44121,100%,Nicaragua,5.0,f +33236,,Russian Federation,1.0,t +30300,,French Guiana,1.0,t +12266,,Peru,2.0,f +39566,,Sao Tome and Principe,4.0,t +3348,,,1.0,t +25444,,Russian Federation,1.0,f +16626,100%,Rwanda,1.0,t +32509,,,1.0,f +4512,,,1.0,t +23161,100%,Sao Tome and Principe,2.0,f +47405,,Niue,1.0,f +25267,100%,Jersey,1.0,f +21883,,Bahrain,11.0,t +1952,100%,Denmark,2.0,t +15836,,Isle of Man,1.0,f +6135,,Malawi,1.0,f +34655,100%,Ecuador,7.0,f +48259,100%,,1.0,f +27393,,Vanuatu,1.0,f +10557,100%,Fiji,1.0,f +1376,,,1.0,t +27771,100%,Rwanda,1.0,t +27889,100%,,3.0,t +42892,,Tanzania,1.0,f +16423,,Isle of Man,1.0,f +24039,,Brazil,1.0,t +30433,,,4.0,t +4405,94%,Indonesia,3.0,f +4405,94%,Indonesia,3.0,f +38427,100%,Isle of Man,1.0,t +5524,100%,Guinea,1.0,f +16577,,,1.0,t +40196,100%,Chile,2.0,t +18136,,Jersey,1.0,t +225,,Montserrat,1.0,t +10261,,,1.0,f +45743,,Isle of Man,1.0,f +29616,,Tonga,1.0,f +41712,80%,Zimbabwe,2.0,t +46929,0%,Svalbard & Jan Mayen Islands,1.0,t +31519,,,1.0,t +17234,,United Kingdom,1.0,f +27243,,El Salvador,1.0,t +20170,,Niue,1.0,t +40496,,,1.0,t +14560,100%,Barbados,2.0,f +11106,0%,,2.0,t +6827,100%,Afghanistan,4.0,t +25866,,Malta,1.0,f +36481,95%,Kiribati,7.0,t +11508,80%,,1.0,f +29420,,Russian Federation,1.0,t +15319,,Malta,1.0,t +32997,,,1.0,f +40862,,Guinea,1.0,f +28976,,Saint Helena,3.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +47413,,,1.0,t +2521,,Nicaragua,1.0,f +34960,,Isle of Man,1.0,f +35949,,French Guiana,2.0,t +16393,,Indonesia,1.0,f +15621,,Lebanon,1.0,t +14786,,Marshall Islands,2.0,f +3558,,,1.0,t +50005,100%,Monaco,2.0,t +1811,100%,,3.0,f +22742,,Barbados,1.0,f +45587,,Malta,1.0,t +8954,,Holy See (Vatican City State),1.0,t +220,,Turkmenistan,1.0,t +6763,100%,Uganda,1.0,f +9328,,,1.0,f +32035,,Tonga,1.0,t +10775,100%,Guinea,2.0,t +10068,100%,,2.0,t +748,,Montserrat,1.0,t +19212,,Croatia,1.0,f +10068,100%,,2.0,t +24080,100%,Kiribati,1.0,t +2606,,Estonia,1.0,t +38408,,Montserrat,1.0,f +36706,100%,Mexico,1.0,f +4024,100%,Zimbabwe,1.0,t +34205,,,1.0,f +12027,100%,Uzbekistan,4.0,t +12634,100%,Philippines,1.0,f +42365,100%,,1.0,t +16172,100%,,2.0,t +31933,,Chad,1.0,t +17840,100%,Uganda,3.0,t +39945,,Nicaragua,1.0,f +49493,,Gambia,1.0,t +4223,100%,,2.0,t +48170,67%,French Polynesia,2.0,f +33399,,Micronesia,1.0,t +47399,,French Guiana,1.0,t +48512,90%,Isle of Man,1.0,f +44505,,Kenya,1.0,f +16765,100%,Uzbekistan,1.0,t +18405,,Nauru,1.0,t +43586,,Mauritania,1.0,t +46348,,Nicaragua,1.0,f +25621,,Marshall Islands,1.0,t +21014,,,1.0,f +26563,,Brazil,1.0,f +45681,,,1.0,t +27938,,French Guiana,1.0,t +21254,100%,,1.0,f +1231,0%,Malawi,1.0,f +26228,100%,,1.0,t +31161,100%,Isle of Man,2.0,t +18632,100%,,2.0,t +16508,,,1.0,f +40330,100%,Isle of Man,1.0,t +31885,100%,,1.0,f +45602,100%,,1.0,t +17719,,Cuba,1.0,t +26789,,Guinea,3.0,t +4922,100%,Togo,1.0,f +31914,,Malta,1.0,t +13768,100%,Ecuador,2.0,t +42229,100%,Fiji,25.0,f +18480,90%,Monaco,4.0,t +40671,100%,Bosnia and Herzegovina,2.0,t +20334,99%,Niger,171.0,t +12916,,,9.0,t +44457,,,1.0,f +12916,,,9.0,t +12916,,,9.0,t +16171,100%,Palestinian Territory,1.0,t +12916,,,9.0,t +34685,,Chad,1.0,t +45126,60%,Sao Tome and Principe,1.0,t +8404,,Rwanda,2.0,t +43235,,Nicaragua,1.0,f +46536,,,1.0,t +41439,,Monaco,1.0,f +46060,,Tonga,1.0,t +39461,,,1.0,f +46725,,Nicaragua,1.0,t +37189,,Malta,1.0,f +14980,,Maldives,1.0,f +21008,100%,Bouvet Island (Bouvetoya),1.0,f +46495,100%,,1.0,f +26897,,Bouvet Island (Bouvetoya),1.0,f +5220,90%,Papua New Guinea,1.0,f +25155,,,1.0,t +31837,100%,Niue,2.0,t +18283,,Barbados,2.0,t +8072,,Estonia,1.0,t +27334,100%,China,16.0,f +15232,,Russian Federation,2.0,t +17910,,Reunion,1.0,t +21043,,,1.0,t +48912,,Micronesia,1.0,t +45630,,Cook Islands,1.0,t +46111,,Russian Federation,1.0,f +7525,,,1.0,t +5913,,,1.0,f +19158,,Pakistan,2.0,t +33079,,French Guiana,1.0,t +9212,,,1.0,f +1266,100%,,1.0,t +45861,100%,Turks and Caicos Islands,2.0,f +571,,,2.0,f +41684,,Turks and Caicos Islands,1.0,t +36500,100%,Malta,7.0,t +15812,,Chad,1.0,t +45861,100%,Turks and Caicos Islands,2.0,f +40809,,Philippines,1.0,t +45230,100%,Philippines,2.0,t +44222,,Netherlands,1.0,f +5706,78%,,1.0,t +32443,,Costa Rica,4.0,t +7470,100%,Peru,1.0,t +32443,,Costa Rica,4.0,t +571,,,2.0,f +40133,100%,Gambia,1.0,t +10475,,Mauritania,1.0,t +35013,100%,Nicaragua,2.0,t +47228,,Russian Federation,1.0,f +8539,100%,Mexico,1.0,t +155,70%,Micronesia,2.0,f +48895,,,1.0,f +39428,100%,French Guiana,1.0,t +18463,100%,Isle of Man,1.0,f +13416,0%,Guinea,1.0,t +43860,,Micronesia,2.0,f +40655,,,1.0,f +34919,20%,Guinea,1.0,t +14719,100%,Ecuador,2.0,t +27940,100%,Anguilla,2.0,f +43860,,Micronesia,2.0,f +38843,100%,Uzbekistan,3.0,f +19593,,Gambia,1.0,f +16160,,,4.0,t +32853,,French Guiana,2.0,t +26796,100%,Gibraltar,1.0,t +3220,100%,,1.0,t +16160,,,4.0,t +8009,,Sao Tome and Principe,1.0,t +38172,,Chad,1.0,t +39951,100%,Vanuatu,1.0,f +4445,,Micronesia,1.0,f +13169,,Malta,1.0,f +13339,,,1.0,f +24660,100%,Papua New Guinea,2.0,t +26821,,Monaco,1.0,t +38162,100%,Niger,8.0,f +33283,100%,Isle of Man,1.0,t +16010,,,1.0,f +17856,,Lebanon,1.0,t +13366,,Malawi,1.0,t +46226,,,1.0,t +19545,,Chad,1.0,t +36488,0%,,1.0,f +6792,70%,,1.0,t +49753,,Anguilla,1.0,t +21860,100%,France,2.0,t +4842,,,1.0,t +44721,100%,,1.0,f +44229,,,1.0,t +12836,,,1.0,t +39871,,Gibraltar,1.0,f +8019,,Malta,1.0,f +49043,100%,Micronesia,4.0,t +46843,0%,,1.0,f +42682,,Guinea,1.0,f +9330,,United Kingdom,1.0,t +3736,100%,,1.0,t +9640,100%,Denmark,2.0,t +43883,,Russian Federation,1.0,t +35002,,El Salvador,1.0,f +15098,,Russian Federation,1.0,t +34655,100%,Ecuador,7.0,f +43454,100%,,1.0,t +36270,100%,Maldives,2.0,f +35498,,,1.0,t +42229,100%,Fiji,25.0,f +27289,99%,Reunion,12.0,t +36663,,Ghana,5.0,t +19817,100%,Papua New Guinea,2.0,f +30826,,,1.0,f +14486,,Anguilla,1.0,t +5991,,Lebanon,3.0,t +41903,100%,,1.0,f +28976,,Saint Helena,3.0,f +44233,,Malta,3.0,t +5991,,Lebanon,3.0,t +1454,,,1.0,t +128,,,1.0,f +14268,100%,Mauritania,3.0,t +5820,,,1.0,f +10069,,Malta,2.0,f +23634,,Marshall Islands,1.0,t +7331,99%,Indonesia,8.0,t +12119,0%,,1.0,t +13403,96%,Maldives,21.0,t +13895,100%,,1.0,t +10499,,,1.0,f +4492,,Rwanda,1.0,f +2825,,Monaco,1.0,f +46613,,Zimbabwe,2.0,f +34550,100%,Maldives,1.0,t +27394,,Nauru,1.0,t +10057,100%,Guernsey,2.0,t +42473,,Venezuela,1.0,f +39974,,,1.0,f +34717,100%,Niue,3.0,t +11173,,Isle of Man,1.0,t +19140,,Malta,1.0,f +34066,100%,,2.0,t +4858,,,1.0,f +6567,83%,,1.0,t +15931,100%,,4.0,f +40900,,,3.0,f +29658,100%,United Kingdom,4.0,f +48455,89%,Uzbekistan,20.0,t +37647,100%,Gambia,4.0,f +16845,90%,Chile,1.0,t +1801,,Russian Federation,1.0,t +16987,,Malta,1.0,f +48129,100%,,1.0,f +97,,Netherlands,1.0,t +25731,,Tonga,1.0,t +30034,,,2.0,f +44801,,Malta,1.0,f +48414,100%,Guinea,3.0,t +20916,,Tonga,1.0,t +14957,,Rwanda,1.0,f +7561,100%,Venezuela,6.0,t +33412,,Indonesia,1.0,t +40843,100%,Tonga,1.0,f +10257,,,1.0,t +48904,,Lithuania,1.0,t +49389,,Malta,1.0,t +16112,,Kenya,2.0,t +18769,,,1.0,f +27391,,,2.0,t +899,,Jersey,2.0,t +38807,,Indonesia,2.0,t +22258,,Kenya,2.0,t +20671,100%,Guinea,3.0,f +1764,90%,,1.0,f +22080,,Montserrat,1.0,t +44968,100%,Croatia,2.0,t +37388,,Anguilla,1.0,f +24514,,,1.0,f +41920,100%,Ukraine,2.0,f +6515,100%,Sao Tome and Principe,1.0,t +38010,,,1.0,t +12500,,,2.0,t +13727,,Uzbekistan,1.0,t +27275,,,1.0,f +37883,95%,United Kingdom,3.0,f +5155,100%,Monaco,2.0,t +20338,,United Kingdom,1.0,t +23319,,Russian Federation,1.0,f +30697,100%,Nicaragua,1.0,t +27079,,Maldives,14.0,t +49654,,,1.0,t +19509,100%,,1.0,f +13861,,,1.0,f +41661,,Vietnam,1.0,t +22084,92%,,1.0,t +12336,,Lebanon,1.0,t +16619,,Zimbabwe,2.0,t +7049,100%,Tonga,3.0,t +5809,100%,,2.0,f +7929,,French Guiana,1.0,f +7523,100%,Togo,1.0,f +16260,100%,United Kingdom,4.0,t +34655,100%,Ecuador,7.0,f +13048,100%,Uzbekistan,2.0,f +9995,,Gambia,1.0,f +40386,100%,Nicaragua,4.0,t +2437,,,1.0,t +27535,67%,Isle of Man,1.0,f +32531,100%,Togo,4.0,f +29292,100%,Malta,3.0,t +32531,100%,Togo,4.0,f +19117,100%,,1.0,t +10658,80%,Wallis and Futuna,2.0,f +8740,,Guinea,1.0,t +23442,,French Guiana,1.0,t +2528,,Reunion,1.0,t +11366,,,1.0,f +37719,,Mexico,1.0,f +24695,,Gambia,1.0,f +25052,64%,,5.0,t +6076,,Niue,1.0,t +24125,,Maldives,1.0,f +26505,100%,Monaco,1.0,f +36986,,Isle of Man,2.0,t +34438,80%,,1.0,f +1735,100%,,2.0,f +41138,100%,Turks and Caicos Islands,3.0,t +30630,,,1.0,t +33367,,,1.0,f +38084,,,1.0,t +26885,,Korea,1.0,f +29862,0%,Korea,1.0,t +49298,,El Salvador,2.0,f +28131,100%,,1.0,t +2803,,Uzbekistan,1.0,t +37940,,Monaco,1.0,f +31799,100%,El Salvador,1.0,t +25430,100%,Kiribati,1.0,t +16135,100%,Zimbabwe,2.0,t +21810,100%,Zimbabwe,2.0,f +43713,,Kiribati,1.0,t +33541,,Nicaragua,1.0,f +29890,100%,United Kingdom,2.0,t +44112,,,1.0,t +27270,100%,Tonga,1.0,t +47072,,,1.0,f +14644,,Russian Federation,3.0,f +4336,,Cuba,1.0,t +25052,64%,,5.0,t +29823,90%,Togo,3.0,f +41403,,Gambia,1.0,t +32269,100%,Finland,1.0,t +18903,,,2.0,t +21485,,Cape Verde,1.0,t +44631,100%,,1.0,f +44011,,,1.0,f +17653,,,1.0,f +33995,,Guinea,1.0,f +35121,,Tonga,1.0,t +35870,,,1.0,t +46691,90%,Uzbekistan,38.0,f +44270,,,1.0,t +15485,,Montserrat,1.0,t +39566,,Sao Tome and Principe,4.0,t +47042,100%,Lebanon,2.0,t +18109,100%,Anguilla,2.0,f +21874,,Finland,2.0,t +15722,100%,Turkmenistan,11.0,t +4569,,Lebanon,1.0,f +1672,100%,Tanzania,1.0,f +48993,,,1.0,f +47042,100%,Lebanon,2.0,t +33265,,Somalia,1.0,f +25474,,Philippines,1.0,f +49190,,Russian Federation,1.0,f +9781,,Tunisia,1.0,f +6817,,Gibraltar,1.0,t +11313,,Tonga,1.0,t +25025,,,2.0,t +7145,,Niue,2.0,t +8518,100%,Peru,1.0,f +42072,,Bosnia and Herzegovina,1.0,f +9846,100%,Indonesia,3.0,t +30201,,Jersey,1.0,t +39154,0%,Sao Tome and Principe,1.0,t +9524,,,1.0,f +27891,,,1.0,f +36301,,Togo,1.0,f +19912,,Estonia,1.0,f +24868,100%,,2.0,t +267,,Malta,1.0,t +32152,100%,,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +659,100%,Afghanistan,1.0,t +32531,100%,Togo,4.0,f +33560,,Kiribati,4.0,t +48179,,,1.0,t +33560,,Kiribati,4.0,t +23374,0%,Togo,2.0,t +46413,,,1.0,f +9021,,Malta,1.0,t +36101,80%,Russian Federation,1.0,t +48044,100%,Niger,1.0,f +19476,,,1.0,t +18070,100%,Costa Rica,2.0,f +44397,,Isle of Man,1.0,t +20236,100%,Isle of Man,1.0,t +34820,,Malta,1.0,f +33172,100%,,2.0,t +25025,,,2.0,t +20184,100%,Niue,1.0,t +25894,,Malta,2.0,f +1554,,,2.0,t +1490,,Jersey,1.0,t +14682,,French Polynesia,3.0,t +46650,100%,Turks and Caicos Islands,4.0,t +4008,94%,,1.0,f +9025,88%,Micronesia,1.0,t +22607,0%,Isle of Man,1.0,f +32285,,,1.0,f +5719,,Lebanon,1.0,f +23332,100%,Bosnia and Herzegovina,2.0,f +41047,,,1.0,t +25463,100%,,1.0,t +207,100%,Tanzania,1.0,t +38543,,Jersey,1.0,t +33411,100%,Estonia,1.0,f +31921,,Brazil,2.0,t +7373,,Mauritania,9.0,t +20746,90%,,3.0,f +14078,100%,Gambia,1.0,t +1226,,Slovakia (Slovak Republic),1.0,t +26795,,El Salvador,1.0,t +44690,100%,Papua New Guinea,2.0,f +44690,100%,Papua New Guinea,2.0,f +5423,,Guernsey,1.0,f +30016,,Russian Federation,1.0,t +24811,100%,Russian Federation,2.0,t +49333,,Chile,1.0,t +8776,,United Kingdom,1.0,f +5250,70%,Indonesia,2.0,f +34620,100%,Costa Rica,1.0,t +41233,100%,Zimbabwe,1.0,t +11576,100%,Maldives,1.0,f +21607,90%,France,3.0,t +16489,100%,Russian Federation,42.0,t +46703,,Marshall Islands,1.0,t +1216,100%,Faroe Islands,1.0,f +25117,,Gibraltar,1.0,f +43333,100%,Andorra,1.0,t +31150,,Niue,1.0,t +40542,100%,,1.0,t +36282,100%,Zimbabwe,3.0,t +36282,100%,Zimbabwe,3.0,t +15434,100%,Malta,1.0,f +36286,100%,Anguilla,1.0,f +4604,83%,Niue,3.0,f +20470,100%,,2.0,t +1667,,Maldives,1.0,f +17734,100%,Jersey,1.0,t +26590,,,1.0,f +11582,100%,Anguilla,2.0,t +11582,100%,Anguilla,2.0,t +21441,100%,Tanzania,1.0,t +11545,,Niue,1.0,t +47850,,Russian Federation,1.0,f +34298,100%,China,1.0,f +20813,100%,Togo,2.0,f +38189,,Marshall Islands,1.0,f +4292,,,1.0,t +35793,,Marshall Islands,1.0,t +32622,,Venezuela,1.0,t +49967,,Malta,1.0,f +29970,100%,,1.0,t +2542,100%,,1.0,t +43778,,Russian Federation,1.0,t +36338,100%,Cuba,1.0,f +20105,,Zimbabwe,1.0,t +42332,100%,Russian Federation,1.0,t +9763,,,, +11233,33%,,1.0,f +19772,,,1.0,f +30378,100%,Zimbabwe,1.0,f +911,100%,Lebanon,6.0,t +4113,100%,,1.0,t +24346,,Togo,1.0,t +9985,100%,,1.0,f +20887,,Montserrat,1.0,f +37815,88%,Kenya,3.0,f +31112,,,1.0,f +15333,,Papua New Guinea,2.0,t +18470,,Indonesia,1.0,t +35187,100%,,1.0,t +25000,,Denmark,1.0,t +20809,90%,,1.0,f +48372,100%,Barbados,12.0,t +41830,,Sao Tome and Principe,1.0,t +18126,,Guinea,1.0,f +23516,,Uzbekistan,1.0,t +36577,,Christmas Island,1.0,f +4075,,,2.0,f +39667,88%,,2.0,t +20197,83%,Tonga,1.0,f +42711,,,1.0,t +43271,,Kenya,1.0,f +27571,,Niue,2.0,t +26149,,,1.0,t +3657,,French Guiana,5.0,t +14759,100%,Lithuania,2.0,t +36591,,Indonesia,2.0,t +13693,100%,United Kingdom,5.0,t +14759,100%,Lithuania,2.0,t +5310,,Guinea,1.0,t +9773,,Malta,1.0,f +40856,,Zimbabwe,1.0,t +32914,100%,Papua New Guinea,1.0,t +12787,,Estonia,1.0,t +11158,,Kiribati,2.0,t +11158,,Kiribati,2.0,t +13799,,,3.0,t +9397,,Anguilla,4.0,t +34655,100%,Ecuador,7.0,f +29167,,,1.0,t +43465,100%,Kenya,2.0,f +10311,,Philippines,1.0,t +23205,,Kiribati,1.0,t +3126,,Brazil,2.0,t +46599,100%,Lithuania,1.0,t +4097,100%,Croatia,7.0,f +10782,,Russian Federation,1.0,t +31916,,Malta,2.0,t +41544,,Nicaragua,1.0,f +8751,100%,,2.0,t +46786,,Switzerland,1.0,t +29487,89%,Montserrat,3.0,t +21394,,Isle of Man,1.0,f +5109,100%,Guinea,3.0,f +2020,100%,,1.0,f +18715,100%,,1.0,t +16945,,Grenada,1.0,t +5109,100%,Guinea,3.0,f +5109,100%,Guinea,3.0,f +44857,100%,Zimbabwe,24.0,t +7401,90%,Korea,2.0,f +27312,100%,,1.0,f +6120,,Mauritania,1.0,f +2004,,Svalbard & Jan Mayen Islands,1.0,f +7607,,Isle of Man,1.0,t +45884,100%,,1.0,t +47225,,,1.0,t +46609,100%,,4.0,t +21659,100%,Afghanistan,3.0,f +38945,,,1.0,t +9311,100%,France,2.0,t +13379,,,1.0,t +5418,,Philippines,1.0,f +31795,,Gambia,1.0,t +24214,,,1.0,f +28276,83%,Papua New Guinea,2.0,f +30486,,Micronesia,1.0,f +38465,92%,Bosnia and Herzegovina,1.0,f +15661,33%,Russian Federation,4.0,f +32456,100%,Lebanon,3.0,t +3261,,Cook Islands,1.0,t +24347,,,1.0,f +9957,,Chad,3.0,t +33351,,Sao Tome and Principe,1.0,t +15661,33%,Russian Federation,4.0,f +25980,100%,Philippines,2.0,t +11268,100%,,1.0,t +5298,,Guinea,1.0,t +2381,100%,,3.0,f +42475,100%,Malta,2.0,t +41699,100%,,1.0,f +32916,100%,Finland,1.0,f +2162,,Niue,1.0,t +12010,,Niger,1.0,t +17743,,,1.0,f +16037,,Lithuania,1.0,t +29647,100%,Peru,1305.0,f +2002,,Niue,1.0,f +29419,,Lithuania,1.0,t +40268,,French Guiana,1.0,t +45131,,Niue,1.0,t +11294,,Gambia,1.0,t +27980,100%,Niue,1.0,f +26857,,Nauru,3.0,t +38489,100%,French Guiana,1.0,t +2986,100%,,1.0,f +28140,,Bosnia and Herzegovina,1.0,t +10529,100%,United Kingdom,1.0,t +23446,,,1.0,t +28666,,Nauru,1.0,t +45904,100%,Russian Federation,1.0,t +48372,100%,Barbados,12.0,t +17214,,Russian Federation,1.0,t +28828,100%,Isle of Man,198.0,t +28828,100%,Isle of Man,198.0,t +27475,,Lithuania,2.0,t +36165,,Isle of Man,1.0,t +1094,80%,,1.0,f +32634,,Congo,1.0,t +29730,,,1.0,f +2780,,Tonga,1.0,t +14350,100%,Nauru,2.0,f +27850,,Chile,1.0,t +29310,67%,,1.0,f +38353,,Togo,1.0,f +10055,,Jersey,1.0,t +43197,100%,Nicaragua,1.0,t +28495,50%,,1.0,t +6483,,Uzbekistan,1.0,f +14090,67%,Costa Rica,1.0,f +45593,100%,Micronesia,3.0,t +19958,100%,Congo,40.0,t +45737,,Tonga,29.0,t +25645,,Indonesia,1.0,t +41542,,,2.0,t +46204,,Slovakia (Slovak Republic),1.0,t +19958,100%,Congo,40.0,t +18692,,Russian Federation,1.0,t +2513,,,1.0,t +13866,,,1.0,f +48,63%,Micronesia,2.0,t +30897,100%,Turkmenistan,4.0,t +30897,100%,Turkmenistan,4.0,t +13341,,Malta,1.0,f +36910,100%,Zimbabwe,1.0,t +26614,,,2.0,t +1309,,Vanuatu,1.0,f +41642,,,1.0,f +20318,,Uzbekistan,1.0,f +2824,25%,Barbados,5.0,f +21731,,Bosnia and Herzegovina,1.0,t +11037,,Micronesia,1.0,t +16177,,,1.0,f +42549,,Uzbekistan,1.0,t +25613,,Nicaragua,1.0,t +5934,,,1.0,t +12692,,Anguilla,1.0,t +155,70%,Micronesia,2.0,f +37789,100%,Brazil,1.0,t +17253,,Niger,1.0,t +23337,100%,Niue,1.0,f +42208,,,1.0,t +11752,100%,Brazil,1.0,f +10970,,Nicaragua,1.0,f +27709,,,1.0,f +38641,,Mauritania,1.0,f +22356,,Isle of Man,1.0,t +16064,,Lebanon,1.0,f +43119,,Korea,1.0,t +4774,100%,Niue,4.0,t +33075,,Jersey,1.0,t +10985,100%,Marshall Islands,1.0,t +33829,,,1.0,t +23603,100%,,1.0,f +16956,,,1.0,t +15879,,Senegal,1.0,f +3751,75%,Uzbekistan,1.0,f +18482,,,1.0,f +30431,,,1.0,t +15230,100%,Malawi,12.0,t +44653,,Niue,1.0,f +13154,,Cuba,1.0,t +22324,100%,Venezuela,6.0,t +33905,,Bosnia and Herzegovina,1.0,t +22324,100%,Venezuela,6.0,t +39360,,Bouvet Island (Bouvetoya),1.0,f +41854,,Faroe Islands,1.0,t +35544,100%,Kenya,1.0,t +45824,,Mauritania,1.0,t +42355,,Russian Federation,2.0,t +11669,,,1.0,f +27857,,Bosnia and Herzegovina,1.0,t +13849,100%,Niue,2.0,t +42355,,Russian Federation,2.0,t +1453,,,1.0,f +2155,88%,Zimbabwe,1.0,t +11567,100%,Niger,31.0,t +23256,100%,,6.0,f +41325,,Micronesia,1.0,t +39655,,Nicaragua,1.0,f +7373,,Mauritania,9.0,t +49033,,Malawi,1.0,t +13187,,France,1.0,t +41242,100%,Nicaragua,1.0,f +37944,,,1.0,t +43035,100%,Tonga,1.0,t +43885,100%,Malta,1.0,t +28445,100%,Jersey,1.0,t +26685,,Isle of Man,1.0,f +22313,,Marshall Islands,1.0,t +49153,,Lithuania,1.0,t +2951,100%,,1.0,t +45118,,,1.0,t +19714,100%,Micronesia,2.0,t +35956,,Niue,2.0,t +15071,100%,,3.0,t +29593,100%,Malta,1.0,f +25629,100%,Anguilla,3.0,t +34270,100%,Australia,2.0,f +15661,33%,Russian Federation,4.0,f +38278,,Bosnia and Herzegovina,1.0,t +45060,,Uzbekistan,1.0,f +35378,100%,,3.0,t +17487,,,1.0,t +462,,Afghanistan,1.0,t +28816,90%,Congo,1.0,t +15661,33%,Russian Federation,4.0,f +23045,,,3.0,f +1563,0%,Micronesia,3.0,f +19982,,Montserrat,1.0,t +22402,,China,3.0,t +27183,100%,Mauritania,2.0,f +28453,,Lebanon,1.0,t +46927,,Lebanon,1.0,t +48783,,,1.0,f +29284,,Reunion,2.0,f +24926,100%,Micronesia,2.0,t +25907,,Cape Verde,1.0,t +944,,Vietnam,7.0,t +14643,100%,,1.0,t +1710,,Mauritania,1.0,t +27590,100%,Suriname,8.0,t +12694,,Gambia,1.0,f +16069,100%,Micronesia,1.0,f +34008,,Sao Tome and Principe,1.0,t +39176,100%,,1.0,f +32433,,Puerto Rico,1.0,t +49670,100%,El Salvador,1.0,t +22300,,Malta,1.0,f +39639,100%,Niue,19.0,f +25353,100%,Gibraltar,1.0,t +14042,,Uzbekistan,2.0,f +15175,,Anguilla,1.0,f +25629,100%,Anguilla,3.0,t +49583,100%,Chad,2.0,f +25629,100%,Anguilla,3.0,t +4997,100%,Jersey,6.0,f +14846,,Tonga,1.0,t +10057,100%,Guernsey,2.0,t +38378,90%,Guinea,1.0,f +39900,,Bosnia and Herzegovina,1.0,t +41878,91%,Maldives,47.0,f +31259,,Lebanon,1.0,t +19451,80%,Montserrat,2.0,t +23932,69%,Montserrat,6.0,f +23460,,Monaco,1.0,f +44086,100%,,1.0,t +24518,,Chile,1.0,f +36394,,,1.0,f +29753,100%,El Salvador,3.0,t +33172,100%,,2.0,t +41074,,,1.0,f +18163,,,1.0,t +13733,,Malta,1.0,t +39663,,El Salvador,1.0,t +30787,100%,,2.0,t +27303,,Lebanon,1.0,f +24624,,Bouvet Island (Bouvetoya),1.0,f +49081,,,1.0,f +49782,90%,Kenya,3.0,t +16072,100%,,2.0,t +19749,100%,Denmark,6.0,t +5241,90%,,1.0,t +49782,90%,Kenya,3.0,t +39330,,Jersey,1.0,f +20643,,,1.0,f +10990,,Malta,1.0,f +27020,,Somalia,1.0,t +2602,,Chad,1.0,t +1011,97%,Russian Federation,8.0,t +8525,,Sao Tome and Principe,2.0,f +19884,,Croatia,1.0,t +27889,100%,,3.0,t +27889,100%,,3.0,t +32978,100%,Kiribati,2.0,t +6043,,Lebanon,1.0,t +37489,,Lebanon,1.0,t +9451,,Jersey,1.0,t +46455,92%,Uzbekistan,4.0,t +42410,,Jersey,1.0,f +41925,,Gibraltar,1.0,f +7043,,Malta,1.0,t +43152,100%,Nicaragua,82.0,t +39926,,,1.0,t +36663,,Ghana,5.0,t +6819,,Russian Federation,2.0,f +21971,100%,,2.0,t +15391,90%,Niger,2.0,t +32590,,,1.0,f +15311,100%,Holy See (Vatican City State),1.0,f +25084,,,2.0,f +5166,100%,Ecuador,16.0,t +21088,,Barbados,1.0,t +23859,,Jersey,1.0,t +19664,,Kenya,1.0,t +5166,100%,Ecuador,16.0,t +5166,100%,Ecuador,16.0,t +22324,100%,Venezuela,6.0,t +18777,100%,Holy See (Vatican City State),3.0,t +9222,100%,Brazil,18.0,t +14820,,Cocos (Keeling) Islands,1.0,t +27134,,Guinea,1.0,f +31687,100%,Mauritania,1.0,t +4622,100%,Isle of Man,1.0,t +16928,,Marshall Islands,1.0,f +46152,,,1.0,t +45361,,,1.0,t +46717,,Faroe Islands,2.0,t +36412,,Niue,1.0,f +47595,100%,Nauru,4.0,f +49237,100%,Nicaragua,3.0,t +27475,,Lithuania,2.0,t +6647,100%,Senegal,2.0,t +79,0%,Turkmenistan,1.0,f +30960,,Turkmenistan,1.0,f +26943,,,1.0,t +35884,,Ecuador,1.0,t +14513,,Sao Tome and Principe,1.0,t +13649,100%,Nicaragua,2.0,t +866,,El Salvador,1.0,f +21517,100%,Malta,2.0,t +12751,,China,1.0,f +19731,,,1.0,t +21602,,Guinea,1.0,t +15049,,Sao Tome and Principe,1.0,f +41838,,Faroe Islands,1.0,t +48350,,,1.0,t +11774,100%,Russian Federation,2.0,f +35383,100%,Chile,1.0,t +9817,100%,,1.0,f +16580,,French Guiana,3.0,t +20630,,Faroe Islands,1.0,f +2154,100%,Guinea,3.0,t +37920,70%,,17.0,t +48346,100%,Monaco,1.0,t +40715,,,1.0,f +695,,Niue,1.0,t +28066,88%,,1.0,t +24744,,Marshall Islands,1.0,t +38643,,Isle of Man,1.0,f +17803,100%,Slovenia,1.0,f +467,50%,,1.0,f +48489,100%,Gambia,2.0,t +17381,,Monaco,1.0,f +37128,,,1.0,t +16499,,Spain,1.0,f +27997,,Nicaragua,1.0,t +41039,,Gambia,1.0,t +48146,,,3.0,t +28631,,Zimbabwe,1.0,t +4630,100%,,2.0,f +23073,,Nicaragua,1.0,t +46146,100%,Bouvet Island (Bouvetoya),1.0,t +31683,,Zimbabwe,2.0,t +42881,,Lebanon,1.0,t +24168,,,1.0,t +18317,,,3.0,f +3428,100%,Lebanon,4.0,t +30823,,El Salvador,1.0,t +26523,100%,Niue,1.0,t +39679,91%,Kiribati,4.0,t +31683,,Zimbabwe,2.0,t +35336,,,1.0,t +34742,89%,El Salvador,1.0,f +41243,,Marshall Islands,1.0,t +18477,,Russian Federation,1.0,t +4709,,Nicaragua,1.0,f +28743,100%,Somalia,1.0,t +35406,87%,Indonesia,3.0,f +32698,,Malta,1.0,f +11859,,Holy See (Vatican City State),1.0,t +35689,75%,Isle of Man,2.0,t +45978,100%,France,1.0,f +5166,100%,Ecuador,16.0,t +5419,,,1.0,f +35956,,Niue,2.0,t +585,,Niue,1.0,t +27100,,Kenya,1.0,t +6402,50%,Bosnia and Herzegovina,2.0,t +43588,100%,Fiji,7.0,f +31078,,Guernsey,2.0,t +39302,67%,Kiribati,1.0,f +28460,,,2.0,t +1011,97%,Russian Federation,8.0,t +6558,,,1.0,t +41423,,Lebanon,1.0,f +14288,,Monaco,1.0,f +1011,97%,Russian Federation,8.0,t +1794,100%,Russian Federation,1.0,t +5954,100%,Zimbabwe,1.0,t +23068,90%,,1.0,f +43588,100%,Fiji,7.0,f +26394,,Malta,1.0,t +48822,100%,Brazil,2.0,t +27816,,Sao Tome and Principe,1.0,t +20821,,Zimbabwe,2.0,f +41878,91%,Maldives,47.0,f +27240,,,1.0,t +41878,91%,Maldives,47.0,f +12374,83%,Niue,2.0,f +26208,,Bosnia and Herzegovina,1.0,t +19911,,,1.0,f +41878,91%,Maldives,47.0,f +48403,,Malta,1.0,f +43757,,Cocos (Keeling) Islands,1.0,t +40430,100%,Niue,1.0,t +2934,,Sao Tome and Principe,1.0,t +3372,,Maldives,1.0,f +14976,,Zimbabwe,1.0,f +9465,100%,Slovakia (Slovak Republic),3.0,t +5847,80%,Malta,2.0,f +4035,100%,Monaco,1.0,f +24942,,China,1.0,t +8249,,Sao Tome and Principe,1.0,t +16112,,Kenya,2.0,t +46309,,Russian Federation,1.0,t +18446,,Russian Federation,1.0,t +34432,,France,2.0,f +37752,80%,Uzbekistan,2.0,t +26183,,Maldives,1.0,t +39823,100%,Gambia,3.0,t +6838,96%,Spain,59.0,t +46203,100%,Marshall Islands,1.0,t +14447,,,1.0,t +18468,,Malta,1.0,t +44026,,Afghanistan,1.0,f +37175,,,1.0,t +44097,100%,Solomon Islands,4.0,f +45478,,,1.0,f +19532,,,1.0,f +22536,100%,Isle of Man,1.0,t +43873,,Malta,1.0,t +45744,,Malta,1.0,f +44031,,Guernsey,1.0,t +13218,100%,,1.0,t +22514,,Maldives,1.0,f +29658,100%,United Kingdom,4.0,f +31892,,Chad,1.0,t +44393,100%,Bouvet Island (Bouvetoya),1.0,t +36864,,,1.0,t +37879,100%,Vanuatu,2.0,t +40356,80%,Estonia,2.0,f +48372,100%,Barbados,12.0,t +49307,,Brazil,1.0,f +39,,Sao Tome and Principe,1.0,f +39349,60%,Puerto Rico,1.0,t +17686,,Reunion,2.0,t +31334,,Maldives,2.0,f +45979,100%,Guernsey,1.0,f +34268,,Sao Tome and Principe,1.0,t +38261,100%,Togo,1.0,t +43152,100%,Nicaragua,82.0,t +24131,,,1.0,f +44269,,Jersey,1.0,t +27096,,Micronesia,1.0,t +30525,,,1.0,t +34306,91%,Wallis and Futuna,30.0,t +43152,100%,Nicaragua,82.0,t +26031,,Marshall Islands,1.0,t +40075,93%,Denmark,2.0,t +44678,,Russian Federation,1.0,f +2756,,Gambia,1.0,f +29993,,,1.0,t +28817,100%,,1.0,f +47794,,,1.0,f +26780,100%,Guinea,7.0,f +35651,,Finland,1.0,t +23145,,Sao Tome and Principe,1.0,t +42134,,,1.0,t +33380,,,1.0,t +28836,100%,Zimbabwe,1.0,t +7990,100%,Puerto Rico,3.0,f +13472,,Barbados,1.0,t +28171,,,1.0,f +43763,,Maldives,2.0,t +45640,,Gambia,1.0,t +26202,,Marshall Islands,1.0,t +14392,,Malta,1.0,f +3140,,China,1.0,t +36296,,Maldives,1.0,t +18545,94%,Isle of Man,8.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +26659,,Malta,1.0,t +1872,100%,Isle of Man,1.0,t +28276,83%,Papua New Guinea,2.0,f +25669,100%,Guinea,1.0,t +46115,100%,Cocos (Keeling) Islands,2.0,f +50053,80%,Malta,1.0,f +14071,100%,Gambia,2.0,f +25040,,Brazil,1.0,f +13155,100%,Marshall Islands,1.0,t +47482,,Rwanda,1.0,t +15952,,,1.0,f +8635,,Gambia,1.0,t +13668,,Niue,1.0,f +47871,,,1.0,t +2154,100%,Guinea,3.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +6516,,Peru,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +10327,83%,Isle of Man,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +28407,100%,Mexico,1.0,t +27751,,Finland,1.0,f +29647,100%,Peru,1305.0,f +179,100%,,1.0,f +29647,100%,Peru,1305.0,f +18545,94%,Isle of Man,8.0,t +6537,,France,4.0,t +5527,,Chad,1.0,f +38934,,Lebanon,2.0,t +3923,100%,Lithuania,1.0,f +29771,,Chile,1.0,t +32362,100%,Marshall Islands,4.0,t +4831,100%,,1.0,t +9086,,,1.0,f +38686,,Chile,1.0,t +14458,,Reunion,1.0,t +6195,100%,Cape Verde,1.0,f +24394,100%,Nicaragua,1.0,t +16461,100%,Turkmenistan,1.0,t +16988,,,1.0,t +45626,100%,Niue,1.0,t +30063,,French Guiana,1.0,t +7608,,Togo,1.0,f +43787,,Lithuania,2.0,f +45548,100%,Malta,3.0,t +19358,,,1.0,t +29201,,,2.0,f +22254,100%,,1.0,t +36987,100%,Vanuatu,2.0,t +2974,,Reunion,1.0,f +41685,100%,,1.0,t +36987,100%,Vanuatu,2.0,t +44335,,,1.0,t +31439,,Chile,1.0,t +23325,100%,Russian Federation,2.0,t +49982,0%,Niue,1.0,t +45778,,Jersey,1.0,f +21800,,,1.0,t +41110,,Kenya,1.0,t +18641,100%,Maldives,2.0,t +23545,100%,Kenya,2.0,t +127,100%,,1.0,f +13649,100%,Nicaragua,2.0,t +20892,100%,,1.0,t +12841,,Uzbekistan,1.0,f +33870,,Bosnia and Herzegovina,1.0,t +4062,,Mauritania,1.0,t +45968,100%,Micronesia,4.0,t +22991,100%,Korea,4.0,t +4330,94%,Ukraine,60.0,t +11724,,Russian Federation,1.0,t +9821,100%,,1.0,t +38452,,,1.0,f +16106,100%,French Guiana,1.0,t +44480,,,1.0,f +41878,91%,Maldives,47.0,f +38008,100%,French Polynesia,2.0,f +13964,100%,,1.0,f +22800,,Suriname,1.0,t +23932,69%,Montserrat,6.0,f +26670,100%,Guinea,1.0,f +48372,100%,Barbados,12.0,t +49455,,China,1.0,t +34830,,Uzbekistan,1.0,t +35408,,Turkmenistan,1.0,t +6537,,France,4.0,t +24487,100%,Marshall Islands,1.0,t +36173,100%,Marshall Islands,1.0,t +39966,,French Guiana,1.0,t +11334,100%,Sao Tome and Principe,3.0,t +29450,,,2.0,t +6949,100%,Turkmenistan,1.0,f +30292,67%,Anguilla,6.0,f +24619,100%,,4.0,t +35280,,Holy See (Vatican City State),1.0,f +11813,100%,Lebanon,2.0,f +14525,,Russian Federation,2.0,t +39823,100%,Gambia,3.0,t +16619,,Zimbabwe,2.0,t +12884,,Croatia,1.0,f +39316,83%,,1.0,t +48313,100%,Andorra,1.0,t +29002,,,1.0,t +12843,100%,,1.0,f +10822,,Lebanon,1.0,f +17453,,Anguilla,1.0,t +4097,100%,Croatia,7.0,f +45635,100%,Vanuatu,2.0,f +46869,100%,Micronesia,2.0,t +33533,100%,,1.0,f +34306,91%,Wallis and Futuna,30.0,t +38082,,Ukraine,1.0,t +9533,,Senegal,16.0,t +39753,,Lebanon,1.0,t +8165,,,, +12092,100%,,1.0,t +23776,100%,Micronesia,2.0,t +8225,95%,Barbados,31.0,f +47935,,Puerto Rico,1.0,t +41603,,French Guiana,1.0,t +29647,100%,Peru,1305.0,f +34306,91%,Wallis and Futuna,30.0,t +29647,100%,Peru,1305.0,f +37704,96%,Fiji,26.0,f +29647,100%,Peru,1305.0,f +21076,90%,Kiribati,2.0,t +29647,100%,Peru,1305.0,f +21156,100%,Vanuatu,2.0,f +39254,100%,,8.0,t +34655,100%,Ecuador,7.0,f +43278,,Guinea,1.0,t +27456,,,1.0,t +29204,,Australia,1.0,t +48500,100%,Canada,1.0,t +40930,100%,Bahrain,1.0,t +16201,,,1.0,f +46097,,,1.0,t +15574,,Estonia,1.0,f +30387,,Netherlands,1.0,f +8830,,United Kingdom,3.0,f +11040,100%,Andorra,7.0,f +14051,,Saint Helena,1.0,f +11567,100%,Niger,31.0,t +9533,,Senegal,16.0,t +27732,100%,Puerto Rico,3.0,t +23837,,Lebanon,1.0,t +24397,100%,,1.0,f +13695,,Jersey,1.0,f +12281,100%,Malta,1.0,f +10166,100%,Isle of Man,2.0,t +17808,,Niue,1.0,t +31950,,Papua New Guinea,1.0,t +15320,,Mexico,1.0,f +5305,100%,,1.0,t +34418,100%,,2.0,t +21285,,Isle of Man,1.0,t +26271,,,1.0,t +37514,100%,,1.0,t +36368,,Marshall Islands,1.0,t +4876,,Senegal,9.0,f +47466,100%,,1.0,t +34306,91%,Wallis and Futuna,30.0,t +732,100%,Maldives,2.0,f +49351,90%,Tonga,3.0,t +33422,100%,Russian Federation,1.0,t +14514,,China,80.0,t +27834,,,1.0,t +48613,100%,El Salvador,1.0,t +45477,100%,Papua New Guinea,1.0,f +21859,,,1.0,f +14535,88%,Montserrat,18.0,f +29525,,,1.0,f +16288,,,1.0,t +10303,90%,Turkmenistan,1.0,f +6560,0%,Micronesia,1.0,t +32585,,Russian Federation,1.0,t +47619,60%,Niue,1.0,t +3769,100%,,1.0,t +49514,,Guinea,1.0,t +42240,100%,Isle of Man,1.0,f +41865,100%,,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +41185,83%,Isle of Man,1.0,t +26519,100%,Turks and Caicos Islands,2.0,t +1026,100%,Lebanon,1.0,t +34102,100%,Nicaragua,6.0,f +33492,90%,,4.0,t +2701,100%,Papua New Guinea,1.0,f +45553,90%,Brazil,16.0,t +49583,100%,Chad,2.0,f +45994,,Russian Federation,1.0,f +17349,,Lebanon,1.0,t +25296,100%,Monaco,1.0,f +31314,100%,Guinea,4.0,t +28216,,,4.0,t +31314,100%,Guinea,4.0,t +45332,,Croatia,2.0,f +38415,,Uzbekistan,1.0,t +49031,,Estonia,1.0,t +25210,,Russian Federation,2.0,f +47494,,Lebanon,1.0,t +38672,,Niue,1.0,f +43632,,Rwanda,1.0,t +14373,,Uganda,1.0,t +245,,Russian Federation,1.0,f +11370,100%,Mauritania,1.0,f +47113,,Faroe Islands,2.0,f +18467,,Marshall Islands,1.0,t +365,,Kenya,1.0,t +24179,100%,Faroe Islands,1.0,f +15394,100%,Tunisia,2.0,t +26881,100%,Netherlands,1.0,f +14019,,,1.0,f +33665,,Tunisia,1.0,f +30171,100%,Nicaragua,2.0,t +22852,100%,Togo,3.0,f +24321,,China,1.0,f +38935,,Niger,1.0,f +24079,90%,Netherlands Antilles,3.0,f +24896,100%,Algeria,50.0,t +17258,,,1.0,f +9633,100%,Uruguay,1.0,f +12775,,Cook Islands,1.0,t +4330,94%,Ukraine,60.0,t +6352,100%,,1.0,t +14052,,Sao Tome and Principe,1.0,f +5560,100%,Mauritania,1.0,t +5026,,Cocos (Keeling) Islands,1.0,f +18032,70%,,1.0,f +6894,80%,Estonia,47.0,t +4678,100%,Zimbabwe,2.0,t +4240,100%,,1.0,t +43858,,Turkmenistan,2.0,t +17351,100%,Rwanda,2.0,f +39765,100%,United Kingdom,2.0,t +21138,100%,,1.0,t +8905,,Cocos (Keeling) Islands,2.0,t +22979,100%,,1.0,f +12433,50%,Lebanon,1.0,t +21661,100%,Tonga,1.0,t +46873,,Jersey,1.0,t +27385,,French Guiana,1.0,f +31087,,Bouvet Island (Bouvetoya),2.0,f +10426,,,1.0,f +42229,100%,Fiji,25.0,f +17641,,Tajikistan,4.0,f +14020,,,1.0,f +8510,,El Salvador,1.0,f +44321,,Sao Tome and Principe,1.0,t +9258,,Cape Verde,1.0,t +39474,,Marshall Islands,1.0,f +16759,,,1.0,f +24852,100%,Wallis and Futuna,3.0,f +48364,100%,,4.0,f +9737,,Guinea,1.0,f +25190,,Ecuador,1.0,t +33711,,Marshall Islands,1.0,t +33602,52%,Russian Federation,2.0,t +47343,,Guinea,3.0,t +39828,,Anguilla,1.0,t +14535,88%,Montserrat,18.0,f +26099,99%,Reunion,15.0,f +95,100%,Chile,3.0,t +8874,,,1.0,t +15131,86%,Canada,1.0,t +16216,,Portugal,1.0,f +12077,,China,1.0,t +28917,,,1.0,f +46900,100%,Lebanon,1.0,t +41149,100%,Turkmenistan,2.0,t +17009,100%,Brazil,1.0,f +2178,100%,Jersey,2.0,t +21213,94%,Kiribati,5.0,t +18141,,,1.0,f +24216,,Mauritania,1.0,t +43205,,Bouvet Island (Bouvetoya),2.0,t +1811,100%,,3.0,f +12361,100%,Guernsey,4.0,t +10651,,,1.0,t +32610,,,1.0,f +7145,,Niue,2.0,t +37086,100%,Estonia,1.0,f +19052,100%,,1.0,t +23755,,Kiribati,3.0,t +3352,100%,Guernsey,1.0,t +47881,,Tonga,1.0,t +45649,,Rwanda,1.0,f +10801,,Kenya,1.0,t +39877,,Rwanda,1.0,f +47168,100%,Netherlands,8.0,f +29647,100%,Peru,1305.0,f +49900,,Lebanon,1.0,f +29647,100%,Peru,1305.0,f +20406,,Nauru,1.0,f +37033,,Sao Tome and Principe,1.0,t +29647,100%,Peru,1305.0,f +45977,100%,,2.0,f +20387,100%,Malta,12.0,t +12816,,,1.0,t +29647,100%,Peru,1305.0,f +36206,86%,Russian Federation,10.0,f +3133,,Kenya,1.0,t +48995,,Niue,1.0,f +37441,100%,Vietnam,12.0,t +20128,,Gibraltar,1.0,t +7324,100%,Tonga,2.0,f +3515,,Cook Islands,1.0,f +29647,100%,Peru,1305.0,f +2557,100%,Uzbekistan,3.0,t +41949,100%,Brazil,2.0,t +7143,,El Salvador,1.0,f +11040,100%,Andorra,7.0,f +25625,,Lebanon,1.0,t +684,,Bouvet Island (Bouvetoya),1.0,f +3323,100%,,1.0,t +27334,100%,China,16.0,f +41078,,,1.0,f +4516,100%,,1.0,f +34886,,Nicaragua,1.0,t +13905,0%,Lithuania,1.0,t +47054,,Brunei Darussalam,6.0,f +19517,,Malawi,1.0,f +19555,100%,Faroe Islands,3.0,t +16400,,Montserrat,1.0,t +15197,,Somalia,1.0,f +4100,,Djibouti,1.0,t +30057,,Lebanon,1.0,t +5005,,,1.0,t +45000,100%,Montserrat,10.0,t +31542,100%,Isle of Man,3.0,f +37101,,Isle of Man,1.0,f +13208,,China,1.0,t +5259,100%,United Kingdom,4.0,t +26290,,Guinea,4.0,t +12361,100%,Guernsey,4.0,t +9208,,,1.0,t +28863,100%,,1.0,t +16869,,Kiribati,2.0,t +16443,100%,Indonesia,1.0,f +8215,,,1.0,t +39362,,Suriname,1.0,f +19958,100%,Congo,40.0,t +34169,,Lebanon,3.0,t +8365,,,1.0,t +42815,100%,Kenya,3.0,t +6209,80%,Nicaragua,9.0,t +26121,67%,Marshall Islands,2.0,f +16819,100%,Niue,2.0,t +29647,100%,Peru,1305.0,f +8278,,Kiribati,1.0,f +31395,,Malawi,1.0,t +46797,100%,Zimbabwe,3.0,t +33973,,,1.0,f +41926,,United Kingdom,1.0,t +20709,100%,,1.0,f +2493,100%,,1.0,t +35511,90%,Cocos (Keeling) Islands,2.0,f +13069,,,1.0,t +34356,100%,Palestinian Territory,2.0,t +14265,,Ecuador,1.0,t +39095,,Tonga,1.0,f +33223,100%,Nauru,1.0,t +41758,,Uganda,1.0,f +20061,,El Salvador,1.0,t +35984,,Sao Tome and Principe,1.0,f +44524,,Jersey,1.0,t +20737,100%,,1.0,t +12641,90%,Micronesia,2.0,t +23538,,United Kingdom,1.0,f +23432,,Croatia,1.0,t +49448,100%,El Salvador,2.0,t +24879,,Kiribati,1.0,t +47502,,Tonga,1.0,t +31583,,Kenya,1.0,t +5591,99%,Indonesia,16.0,t +22321,100%,United Kingdom,16.0,f +42016,,Cocos (Keeling) Islands,1.0,t +8065,100%,Monaco,2.0,f +12371,,Cape Verde,1.0,t +17874,100%,Tunisia,1.0,t +18269,86%,Fiji,12.0,f +4172,100%,,1.0,t +26542,100%,,1.0,t +3833,,United Kingdom,1.0,t +29418,,,1.0,f +5309,,Papua New Guinea,1.0,t +1858,81%,Niue,3.0,t +33289,67%,Guinea,2.0,f +44472,,Philippines,1.0,t +43970,,Russian Federation,1.0,f +29198,100%,Uzbekistan,1.0,f +25084,,,2.0,f +44148,,,1.0,f +7583,100%,,1.0,f +18317,,,3.0,f +39667,88%,,2.0,t +42661,100%,Jersey,2.0,f +31065,,,16.0,f +32833,,Uzbekistan,1.0,t +9247,,Rwanda,1.0,f +48671,100%,Guinea,3.0,t +7590,,Guinea,1.0,f +18712,95%,Turks and Caicos Islands,11.0,t +14472,,Mauritania,1.0,f +24622,100%,,2.0,t +28920,,Malta,1.0,t +24622,100%,,2.0,t +15408,,,1.0,f +33477,100%,Niger,1.0,f +11325,0%,Tonga,18.0,f +49728,,Rwanda,2.0,f +25310,,,1.0,t +29746,96%,Tonga,5.0,f +37996,,Cape Verde,4.0,t +15969,80%,France,3.0,t +20085,,,1.0,f +9465,100%,Slovakia (Slovak Republic),3.0,t +36781,,Indonesia,1.0,f +49931,,Vanuatu,1.0,t +45148,,Honduras,2.0,t +34415,100%,Afghanistan,1.0,t +26195,93%,Gambia,8.0,t +11040,100%,Andorra,7.0,f +30171,100%,Nicaragua,2.0,t +4774,100%,Niue,4.0,t +6306,,,1.0,f +30257,,,1.0,t +3854,100%,Philippines,3.0,f +19104,,,1.0,t +30789,,,3.0,t +17855,,Guernsey,1.0,f +3854,100%,Philippines,3.0,f +49545,,Uzbekistan,1.0,f +16152,89%,,2.0,f +40321,100%,,1.0,f +23491,90%,Niue,3.0,f +20405,,,1.0,f +42621,,Guinea,1.0,t +22204,,Vanuatu,1.0,f +31496,100%,Jersey,1.0,f +31644,100%,,1.0,t +7328,,,1.0,t +37133,,Anguilla,1.0,f +17023,,,1.0,t +45534,100%,Brazil,5.0,t +27763,70%,,1.0,t +43006,,,1.0,f +38729,100%,Maldives,1.0,t +37664,100%,,1.0,f +14685,,Kenya,1.0,f +33243,,French Guiana,1.0,f +46133,,Lebanon,2.0,t +16359,100%,,1.0,f +2327,,,1.0,t +29179,100%,,1.0,t +28988,,Tanzania,1.0,t +42943,,,1.0,t +22771,,United Kingdom,2.0,t +2072,,Jersey,1.0,t +38997,100%,Zimbabwe,2.0,t +23569,,Mauritania,1.0,t +12890,,Niue,1.0,t +10091,,Anguilla,1.0,f +33674,100%,Micronesia,1.0,f +18553,,,2.0,t +38206,,Guinea,1.0,t +32080,,Nicaragua,3.0,f +11372,100%,Micronesia,3.0,f +12024,,China,1.0,t +11567,100%,Niger,31.0,t +22834,,,1.0,t +18317,,,3.0,f +11040,100%,Andorra,7.0,f +14477,100%,Reunion,26.0,t +31917,,,1.0,f +50032,100%,Uganda,2.0,t +19592,100%,Monaco,3.0,t +8815,,Uganda,1.0,t +37577,100%,Lebanon,3.0,t +4265,100%,Palestinian Territory,2.0,t +26660,100%,Sao Tome and Principe,2.0,t +4097,100%,Croatia,7.0,f +48089,,China,1.0,f +3948,,Niue,1.0,f +11961,,Russian Federation,1.0,f +2470,80%,Brazil,4.0,t +5672,,Togo,2.0,f +24495,,Reunion,2.0,t +38663,,,1.0,f +17248,100%,Niue,1.0,f +14190,,,1.0,t +29808,100%,Jersey,1.0,f +38479,100%,Russian Federation,2.0,t +40165,100%,French Guiana,1.0,f +27352,100%,,1.0,t +5699,,Niue,1.0,f +38022,,Maldives,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +48639,,,1.0,t +23785,,Kenya,1.0,f +598,,Brazil,1.0,f +1373,,Brazil,1.0,f +33848,67%,,1.0,t +16799,,Rwanda,1.0,t +25199,,Gibraltar,1.0,t +46136,,Sao Tome and Principe,1.0,f +33014,,Philippines,1.0,f +18509,,Gambia,1.0,f +22034,,Slovenia,1.0,t +6143,,Sao Tome and Principe,1.0,t +22315,,Malawi,1.0,f +37334,,Lebanon,1.0,t +29496,100%,France,1.0,f +30548,,,1.0,f +2360,,,2.0,t +24132,100%,Somalia,2.0,f +25753,0%,Mauritania,1.0,t +26568,,Russian Federation,1.0,t +34594,,French Guiana,1.0,f +22327,100%,Russian Federation,1.0,t +8430,,Peru,7.0,t +8430,,Peru,7.0,t +2206,,,1.0,t +41149,100%,Turkmenistan,2.0,t +4684,,Cape Verde,1.0,f +23542,,Lebanon,1.0,t +31152,,El Salvador,1.0,f +25179,0%,Zimbabwe,1.0,f +28654,,Mauritania,1.0,t +21425,,Canada,1.0,f +44015,,Russian Federation,1.0,t +32832,,Lithuania,1.0,f +39030,100%,,2.0,t +28093,,Papua New Guinea,1.0,t +40337,,Ecuador,2.0,t +44972,,Micronesia,2.0,f +8721,,Bouvet Island (Bouvetoya),1.0,t +11040,100%,Andorra,7.0,f +10605,,Maldives,1.0,f +7026,,,1.0,t +25224,,Jersey,1.0,f +27186,100%,Zimbabwe,7.0,t +27186,100%,Zimbabwe,7.0,t +10994,,Russian Federation,2.0,t +34206,100%,,1.0,f +39986,100%,Isle of Man,2.0,t +42190,96%,Croatia,4.0,t +10152,,Ghana,1.0,f +48334,100%,Guinea,12.0,f +32627,100%,,1.0,f +48334,100%,Guinea,12.0,f +2309,,Bouvet Island (Bouvetoya),2.0,t +2268,91%,Fiji,1.0,f +10177,,French Guiana,1.0,t +43724,100%,Kenya,1.0,t +25910,,Christmas Island,1.0,t +17038,,Niue,1.0,f +9785,,Jersey,2.0,t +9928,100%,,1.0,t +11939,100%,,2.0,t +24191,,Malta,1.0,f +25539,100%,Niue,1.0,t +11008,,Uzbekistan,1.0,t +11343,,Niue,1.0,t +24800,,,1.0,t +39819,,Turks and Caicos Islands,1.0,t +26272,,,1.0,t +14535,88%,Montserrat,18.0,f +49995,,,1.0,t +12698,,Barbados,1.0,t +14535,88%,Montserrat,18.0,f +14535,88%,Montserrat,18.0,f +14535,88%,Montserrat,18.0,f +18825,,,2.0,t +7358,100%,French Polynesia,3.0,f +43783,,,1.0,t +22126,100%,,2.0,t +26072,,Guinea,1.0,f +37138,100%,Senegal,2.0,t +6092,100%,,2.0,t +3548,0%,,1.0,f +30815,100%,Uzbekistan,1.0,t +43048,100%,France,1.0,t +45057,,Marshall Islands,1.0,t +47309,,Isle of Man,1.0,f +28281,,Palestinian Territory,1.0,f +34655,100%,Ecuador,7.0,f +31464,100%,Isle of Man,2.0,t +33023,,,1.0,t +27732,100%,Puerto Rico,3.0,t +44596,100%,,1.0,f +30032,100%,,1.0,t +115,,Svalbard & Jan Mayen Islands,1.0,t +41462,,Micronesia,1.0,t +2948,90%,Russian Federation,1.0,t +32362,100%,Marshall Islands,4.0,t +32388,,Micronesia,1.0,f +1813,,,1.0,f +40174,,Croatia,1.0,f +37930,,,1.0,t +42411,100%,Netherlands Antilles,1.0,t +11420,,Mauritania,1.0,t +35940,,Niue,1.0,t +7044,100%,,1.0,t +7808,100%,Anguilla,1.0,f +7595,,,1.0,f +39679,91%,Kiribati,4.0,t +25660,,Monaco,1.0,f +2379,100%,Lithuania,2.0,f +41878,91%,Maldives,47.0,f +13074,100%,Turks and Caicos Islands,1.0,t +41097,,,1.0,f +16157,,Uzbekistan,1.0,t +34138,67%,Lebanon,2.0,t +30942,100%,Kenya,1.0,t +34829,100%,,2.0,t +45996,100%,Zimbabwe,2.0,t +33689,,Zimbabwe,1.0,t +7801,,Zimbabwe,1.0,f +26195,93%,Gambia,8.0,t +27925,100%,Sao Tome and Principe,1.0,t +360,,Chile,2.0,t +40323,100%,,1.0,t +30305,,Isle of Man,1.0,f +33357,,Denmark,1.0,t +4671,100%,Lebanon,1.0,t +45849,,Sao Tome and Principe,1.0,t +37945,,Jersey,1.0,t +38414,100%,Uruguay,1.0,f +34829,100%,,2.0,t +41771,100%,Turks and Caicos Islands,2.0,f +46052,,Marshall Islands,1.0,f +18309,,,1.0,f +49042,,Uzbekistan,1.0,t +43435,50%,Guinea,2.0,f +29104,,El Salvador,1.0,t +12248,100%,,1.0,t +40255,,Faroe Islands,1.0,t +49860,83%,,2.0,t +25604,100%,,1.0,f +29727,100%,Senegal,2.0,f +27711,100%,Niue,1.0,t +11872,,,13.0,f +6467,100%,Netherlands,1.0,t +246,,Guernsey,1.0,t +37013,,Russian Federation,1.0,f +44600,,Guinea,1.0,t +9766,,Maldives,2.0,t +27453,100%,Marshall Islands,2.0,f +14753,,China,1.0,f +23365,,Nicaragua,1.0,f +41073,,Wallis and Futuna,1.0,t +37542,,,1.0,f +39937,,Russian Federation,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +42470,100%,Malawi,2.0,f +11342,,Niue,1.0,t +42009,,Tonga,1.0,t +34659,100%,United Kingdom,2.0,f +36782,,,1.0,t +4485,95%,China,7.0,t +24818,,Mauritania,1.0,f +47878,,Faroe Islands,2.0,f +47420,,Nauru,1.0,t +25896,,,1.0,f +3730,100%,San Marino,1.0,t +5539,,El Salvador,1.0,f +49951,,Russian Federation,1.0,t +34754,100%,Isle of Man,1.0,t +33779,,Bosnia and Herzegovina,1.0,t +38451,,Tonga,1.0,t +20334,99%,Niger,171.0,t +299,100%,Maldives,1.0,t +30050,,,1.0,f +17968,,,1.0,t +1888,100%,Chad,1.0,f +34519,,Zimbabwe,1.0,t +24649,100%,,1.0,f +26519,100%,Turks and Caicos Islands,2.0,t +14387,,Maldives,1.0,f +18900,,Russian Federation,2.0,f +39438,,,1.0,t +28190,0%,Uzbekistan,1.0,t +2689,,Djibouti,1.0,f +46762,100%,Chile,1.0,t +3304,100%,,2.0,t +18900,,Russian Federation,2.0,f +11872,,,13.0,f +12796,100%,Estonia,1.0,t +14058,,Anguilla,1.0,t +20991,100%,,1.0,t +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +15048,,French Guiana,1.0,t +22715,,,1.0,f +1486,,,1.0,f +26252,50%,,1.0,f +40038,,,1.0,f +33911,100%,Kiribati,2.0,t +36122,100%,,1.0,t +50092,,,1.0,t +27334,100%,China,16.0,f +1703,,,1.0,f +39823,100%,Gambia,3.0,t +46938,,Rwanda,1.0,t +43563,,Chad,1.0,t +13410,,Ghana,1.0,f +33175,,Lebanon,2.0,f +26315,,El Salvador,1.0,t +41560,,,1.0,f +6204,100%,France,1.0,f +35684,,Isle of Man,1.0,f +4536,,Brazil,1.0,f +21468,,,1.0,t +21950,,Uzbekistan,1.0,t +35801,,Canada,1.0,t +48809,,Nicaragua,1.0,t +11800,,Bosnia and Herzegovina,2.0,t +555,100%,Brazil,2.0,t +47317,0%,Gambia,1.0,f +11176,100%,Rwanda,1.0,t +28352,,,1.0,f +30941,93%,Barbados,3.0,f +41960,,United Kingdom,1.0,f +422,,United Kingdom,1.0,f +20284,,Netherlands Antilles,1.0,f +46679,,Rwanda,1.0,f +18174,,,1.0,t +13546,100%,Rwanda,15.0,f +3130,,,1.0,f +3108,,,1.0,t +43098,100%,,1.0,f +32683,90%,Libyan Arab Jamahiriya,2.0,f +4736,100%,Zimbabwe,1.0,f +2467,100%,,1.0,t +40237,,,1.0,f +24791,,Uzbekistan,2.0,t +40380,,,2.0,t +13988,100%,,1.0,f +9065,100%,,1.0,t +25527,100%,Djibouti,1.0,f +30552,100%,Senegal,1.0,t +6805,,Indonesia,1.0,t +1975,100%,,1.0,t +49973,,,1.0,t +8938,100%,France,1.0,f +48441,83%,,2.0,f +45546,100%,Cape Verde,19.0,t +31920,,,1.0,t +8497,100%,Croatia,1.0,t +20496,100%,,1.0,f +9180,100%,Kenya,1.0,f +42690,,Vietnam,1.0,f +2364,100%,China,2.0,t +42632,,Russian Federation,1.0,f +2176,,Chad,1.0,t +41364,100%,Guinea,1.0,t +38165,100%,Jersey,1.0,t +8886,100%,Estonia,2.0,t +19822,,Sao Tome and Principe,1.0,t +37414,,Rwanda,2.0,t +32366,100%,Guinea,2.0,f +34965,,Maldives,1.0,f +32366,100%,Guinea,2.0,f +15256,,Chad,2.0,t +13745,,Gibraltar,1.0,t +6168,,Bouvet Island (Bouvetoya),14.0,t +14940,100%,Marshall Islands,2.0,f +12293,,Uganda,1.0,t +16879,,Chile,2.0,t +46700,,,1.0,t +30472,100%,Micronesia,2.0,f +24532,,,1.0,f +45546,100%,Cape Verde,19.0,t +10401,,Isle of Man,1.0,f +46845,,Jersey,1.0,t +14985,,,2.0,t +45546,100%,Cape Verde,19.0,t +32779,,Uzbekistan,1.0,t +21659,100%,Afghanistan,3.0,f +2766,100%,United Kingdom,4.0,f +37705,100%,Faroe Islands,2.0,t +12719,100%,,2.0,t +20673,,Rwanda,3.0,t +25238,100%,Nicaragua,1.0,t +40563,,,1.0,t +34504,,,1.0,f +49736,,Uzbekistan,1.0,t +27412,90%,Cuba,2.0,t +20237,100%,Korea,1.0,t +5647,,Bosnia and Herzegovina,4.0,t +20376,0%,,1.0,t +10754,100%,Russian Federation,1.0,f +20626,0%,,1.0,f +36253,100%,Nauru,21.0,t +32362,100%,Marshall Islands,4.0,t +4803,100%,Fiji,5.0,t +13674,90%,Fiji,2.0,t +19955,,Rwanda,1.0,t +31804,100%,,2.0,f +27613,,Fiji,1.0,t +22418,100%,Senegal,1.0,t +29383,,,1.0,t +22736,,Lebanon,1.0,f +41219,,,2.0,t +42910,100%,France,2.0,f +42910,100%,France,2.0,f +27184,,,1.0,f +8389,,,1.0,f +48300,50%,,1.0,t +10298,,,1.0,t +39005,,,1.0,f +35068,100%,France,3.0,t +34145,,,1.0,t +40416,100%,Turks and Caicos Islands,2.0,t +20658,100%,Papua New Guinea,1.0,t +7641,,,1.0,f +35973,,French Polynesia,2.0,t +23545,100%,Kenya,2.0,t +3248,100%,,1.0,f +27345,100%,Guinea,1.0,f +46283,,,2.0,t +11730,100%,Isle of Man,1.0,t +15394,100%,Tunisia,2.0,t +20387,100%,Malta,12.0,t +27126,,,1.0,t +20387,100%,Malta,12.0,t +20387,100%,Malta,12.0,t +41804,,Guinea,1.0,t +20387,100%,Malta,12.0,t +45712,,Tonga,1.0,t +556,,United Kingdom,1.0,t +20048,,El Salvador,5.0,t +49722,,Guinea,1.0,f +48210,100%,,1.0,f +33312,100%,Svalbard & Jan Mayen Islands,2.0,t +40181,100%,Russian Federation,2.0,t +5571,,Turks and Caicos Islands,1.0,f +883,,,1.0,t +14156,,,1.0,f +38805,,Isle of Man,1.0,t +8571,,Maldives,1.0,f +44471,,Gibraltar,2.0,t +112,100%,Venezuela,1.0,t +5083,,,1.0,t +38818,,,1.0,t +25311,,,1.0,f +13546,100%,Rwanda,15.0,f +32768,,Ukraine,1.0,f +3907,100%,Sao Tome and Principe,2.0,t +45005,,,1.0,f +9955,100%,Isle of Man,2.0,t +46607,100%,Brazil,4.0,f +27150,100%,Nauru,1.0,t +38341,,,2.0,t +20077,,,1.0,t +5644,100%,,1.0,t +37021,,,1.0,t +5228,,Malawi,1.0,t +13910,,Papua New Guinea,1.0,f +8557,,Uzbekistan,1.0,t +16167,,,1.0,t +42992,100%,Rwanda,2.0,f +38030,,Reunion,1.0,f +34144,,Sao Tome and Principe,1.0,f +26414,,,1.0,f +43617,,Suriname,2.0,f +43152,100%,Nicaragua,82.0,t +25028,,,1.0,f +4586,,,2.0,f +11882,,Sao Tome and Principe,2.0,t +23608,,Rwanda,1.0,t +39870,,Slovakia (Slovak Republic),21.0,t +27435,100%,Rwanda,1.0,t +22697,,Maldives,1.0,f +34977,,Finland,1.0,f +38155,,,1.0,t +27092,,Brazil,2.0,f +6099,,Costa Rica,1.0,t +14535,88%,Montserrat,18.0,f +24896,100%,Algeria,50.0,t +12715,100%,Estonia,29.0,f +44090,100%,Marshall Islands,1.0,t +7454,88%,Tonga,1.0,f +31124,100%,France,3.0,f +11247,100%,,1.0,t +34655,100%,Ecuador,7.0,f +6959,95%,Slovakia (Slovak Republic),20.0,t +3127,100%,Rwanda,36.0,f +9670,,Zimbabwe,1.0,f +43646,,Sao Tome and Principe,1.0,f +38162,100%,Niger,8.0,f +14172,,Reunion,2.0,f +1439,100%,Tanzania,1.0,t +14138,100%,,2.0,f +20157,,Lebanon,1.0,t +42780,100%,,2.0,t +35869,,Reunion,2.0,t +29690,,,1.0,f +11345,,Tunisia,1.0,t +42379,100%,Cocos (Keeling) Islands,5.0,f +30348,,Nicaragua,2.0,f +30977,,,1.0,f +24896,100%,Algeria,50.0,t +13663,100%,Russian Federation,1.0,f +7429,,Sao Tome and Principe,1.0,f +47462,100%,Nicaragua,1.0,t +31762,,Finland,1.0,f +37162,100%,,1.0,t +172,,Niue,4.0,f +35842,,Netherlands,1.0,t +172,,Niue,4.0,f +172,,Niue,4.0,f +5449,,Gibraltar,1.0,t +17370,,China,2.0,t +33911,100%,Kiribati,2.0,t +31124,100%,France,3.0,f +1229,,Reunion,1.0,t +24158,100%,Costa Rica,1.0,t +23893,,,1.0,f +13546,100%,Rwanda,15.0,f +16601,,,1.0,t +11918,50%,Philippines,1.0,t +11358,100%,Iceland,4.0,t +42038,,Malta,1.0,t +35667,100%,Isle of Man,1.0,t +11325,0%,Tonga,18.0,f +16476,86%,Micronesia,1.0,f +15189,79%,China,21.0,f +16966,,Denmark,2.0,t +43110,,Malta,1.0,t +14656,100%,Monaco,1.0,t +19992,,,1.0,f +36239,100%,Lebanon,3.0,t +46916,,,1.0,f +22468,,,1.0,f +23153,100%,Gibraltar,2.0,t +48441,83%,,2.0,f +5642,100%,El Salvador,1.0,t +13083,,,1.0,f +10244,100%,Philippines,10.0,f +32498,100%,Russian Federation,1.0,f +24791,,Uzbekistan,2.0,t +15413,80%,Vanuatu,7.0,t +21036,,Niue,1.0,t +29362,100%,Svalbard & Jan Mayen Islands,1.0,t +5972,,Cocos (Keeling) Islands,1.0,f +10560,,Bosnia and Herzegovina,1.0,f +28329,100%,Guernsey,1.0,f +13546,100%,Rwanda,15.0,f +15413,80%,Vanuatu,7.0,t +15413,80%,Vanuatu,7.0,t +11130,,,1.0,f +13725,,Zimbabwe,1.0,f +27761,,,1.0,t +44429,,,1.0,t +20104,,Uganda,1.0,t +15172,,Rwanda,2.0,t +39401,100%,Wallis and Futuna,2.0,t +8390,,Turkmenistan,1.0,t +45823,,Niue,1.0,t +21486,,,1.0,f +16300,,,1.0,f +12769,,Kiribati,1.0,f +28135,,Isle of Man,1.0,t +24416,,,1.0,t +13546,100%,Rwanda,15.0,f +7425,,,1.0,f +39328,,Sao Tome and Principe,3.0,t +34306,91%,Wallis and Futuna,30.0,t +16648,100%,France,1.0,t +28914,,Chile,1.0,t +38842,100%,Uzbekistan,1.0,f +19882,,Philippines,1.0,t +38740,,,1.0,f +43169,,Tonga,1.0,f +17760,,Anguilla,2.0,f +13546,100%,Rwanda,15.0,f +39970,100%,,2.0,f +17782,100%,Niger,1.0,t +22013,100%,Micronesia,4.0,f +48395,0%,,1.0,t +27244,,Guinea,1.0,f +32331,100%,Jersey,2.0,t +2950,100%,,1.0,t +43087,,Cuba,1.0,t +46947,,,1.0,f +43103,100%,Monaco,3.0,t +19076,,Togo,1.0,t +40624,,Lebanon,1.0,f +31139,90%,,1.0,t +23710,100%,Gambia,5.0,f +42532,,Lebanon,1.0,f +9041,100%,Wallis and Futuna,1.0,t +12376,,,1.0,f +22794,50%,Cape Verde,36.0,t +17760,,Anguilla,2.0,f +931,,Marshall Islands,1.0,f +24827,100%,Gibraltar,3.0,f +23966,100%,Malta,1.0,f +21389,,Faroe Islands,1.0,t +38321,,Uzbekistan,2.0,t +29347,100%,Zimbabwe,2.0,f +24269,100%,,1.0,t +2311,,,3.0,t +9528,,Lebanon,1.0,t +33975,,Nicaragua,1.0,f +47124,,Lebanon,1.0,t +11872,,,13.0,f +27672,,Slovenia,3.0,t +48364,100%,,4.0,f +35938,,Estonia,1.0,f +8143,,Guinea,1.0,t +45470,,Estonia,1.0,f +17716,,Vanuatu,2.0,t +19958,100%,Congo,40.0,t +48165,,Malta,1.0,f +46297,100%,Sao Tome and Principe,12.0,t +35080,,Cocos (Keeling) Islands,1.0,t +11964,,Chad,1.0,t +14521,100%,Svalbard & Jan Mayen Islands,1.0,t +1354,,Christmas Island,1.0,f +34946,67%,Micronesia,1.0,f +40143,,Russian Federation,1.0,t +24795,,Russian Federation,1.0,t +36239,100%,Lebanon,3.0,t +43620,100%,Denmark,1.0,f +39366,100%,Ghana,3.0,t +109,,,1.0,f +16257,100%,Turkmenistan,1.0,t +29579,,Jersey,1.0,t +47620,100%,Chad,1.0,f +3094,,Bahrain,1.0,f +4022,50%,,1.0,t +45737,,Tonga,29.0,t +27869,,Turkmenistan,1.0,f +46213,,,1.0,t +19685,,Marshall Islands,1.0,t +46095,,Guernsey,1.0,t +5299,,,1.0,f +14356,,Papua New Guinea,1.0,f +39169,,France,1.0,f +3383,,Tonga,1.0,t +48146,,,3.0,t +10574,,Anguilla,1.0,f +12158,,Russian Federation,1.0,f +48308,,United Kingdom,1.0,f +8900,,Cape Verde,1.0,t +11666,73%,Tonga,5.0,t +27062,,,1.0,f +7736,71%,,2.0,f +14540,92%,Niue,5.0,f +26879,100%,Niue,2.0,t +49744,,Russian Federation,1.0,f +36344,,,1.0,t +46799,,Maldives,1.0,f +26244,,,1.0,f +39199,,Croatia,1.0,t +35180,,Sao Tome and Principe,1.0,t +3776,,,1.0,f +34170,100%,Marshall Islands,1.0,t +30200,,China,1.0,f +14383,0%,Russian Federation,1.0,f +26948,,Kenya,1.0,t +11178,,Turks and Caicos Islands,1.0,f +23535,100%,Tonga,1.0,f +31108,,Svalbard & Jan Mayen Islands,2.0,t +39685,,Papua New Guinea,1.0,t +49480,,Russian Federation,1.0,t +32172,,,1.0,t +23428,,Zimbabwe,1.0,f +38807,,Indonesia,2.0,t +39679,91%,Kiribati,4.0,t +26822,,Uzbekistan,1.0,t +36650,,,1.0,f +36957,,Nicaragua,1.0,f +31584,90%,,1.0,t +18640,,Jersey,1.0,t +48146,,,3.0,t +22469,,Sao Tome and Principe,1.0,t +31565,,Faroe Islands,1.0,f +1903,75%,,1.0,f +35008,,Faroe Islands,1.0,f +41083,,,1.0,t +17035,,Malta,1.0,f +30462,0%,Lithuania,1.0,t +47996,,Niue,1.0,f +45002,,Svalbard & Jan Mayen Islands,2.0,f +39126,100%,Guinea,9.0,f +39355,80%,Zimbabwe,2.0,t +40059,83%,Svalbard & Jan Mayen Islands,1.0,t +34341,,,1.0,f +32897,80%,Somalia,1.0,f +17494,,Uzbekistan,1.0,f +47212,100%,,1.0,f +43485,,Russian Federation,2.0,t +30268,,Maldives,1.0,f +31065,,,16.0,f +49257,,Chad,1.0,t +31065,,,16.0,f +42285,100%,Chile,1.0,t +14834,,Brazil,1.0,t +35815,97%,Slovakia (Slovak Republic),8.0,t +15349,100%,Sao Tome and Principe,1.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +27113,,Estonia,5.0,f +2717,,Uzbekistan,3.0,f +24977,,Micronesia,1.0,f +27113,,Estonia,5.0,f +27113,,Estonia,5.0,f +27113,,Estonia,5.0,f +27113,,Estonia,5.0,f +27931,,Cape Verde,1.0,f +3459,100%,Christmas Island,1.0,t +12053,,Gambia,1.0,f +28470,,,1.0,f +37168,90%,Jersey,2.0,f +50061,100%,Niue,2.0,f +20637,,,1.0,t +46461,100%,,1.0,t +50008,,Philippines,1.0,f +48816,100%,Maldives,1.0,t +27733,,,1.0,f +21613,,,1.0,t +32130,,Cuba,2.0,t +39126,100%,Guinea,9.0,f +9906,100%,,1.0,f +28261,100%,Tanzania,2.0,f +10159,,Gambia,2.0,f +21126,,Jersey,1.0,f +49264,,Kiribati,4.0,t +36932,,Faroe Islands,1.0,f +23268,100%,,1.0,t +20924,,Isle of Man,1.0,f +2441,100%,Mauritania,1.0,t +34306,91%,Wallis and Futuna,30.0,t +7191,100%,Uzbekistan,2.0,f +10609,,Croatia,1.0,t +26813,100%,Russian Federation,1.0,t +4906,100%,Senegal,2.0,t +861,,Russian Federation,2.0,t +18820,90%,Honduras,2.0,t +24259,,,1.0,t +26996,,Sao Tome and Principe,1.0,f +13546,100%,Rwanda,15.0,f +28888,100%,,1.0,t +13546,100%,Rwanda,15.0,f +20277,,Tonga,2.0,f +36425,100%,,1.0,f +29008,,Sao Tome and Principe,1.0,f +50061,100%,Niue,2.0,f +15312,,Kiribati,2.0,f +39012,,,1.0,t +28828,100%,Isle of Man,198.0,t +37636,,Marshall Islands,2.0,t +39375,,Uzbekistan,1.0,t +37422,100%,Brazil,4.0,t +1626,100%,Uganda,2.0,t +8225,95%,Barbados,31.0,f +29201,,,2.0,f +14951,,Vanuatu,1.0,f +31498,100%,Zimbabwe,2.0,f +22764,100%,,1.0,f +47784,,Rwanda,1.0,f +5535,90%,Vanuatu,1.0,f +8225,95%,Barbados,31.0,f +39178,,,1.0,f +81,,Isle of Man,1.0,t +27386,,Chad,2.0,f +37090,,Congo,1.0,t +38359,,Malta,1.0,t +10703,,Nicaragua,1.0,t +5192,,Turks and Caicos Islands,1.0,t +44378,,Niue,1.0,f +25055,,,1.0,f +8928,,Montserrat,1.0,t +24727,100%,,1.0,f +27369,,Micronesia,2.0,t +39278,100%,France,1.0,f +46710,,,1.0,t +40139,,Palestinian Territory,1.0,t +12156,,Russian Federation,1.0,t +16280,,Russian Federation,1.0,f +44972,,Micronesia,2.0,f +42724,,Mauritania,1.0,t +32839,,,1.0,f +44494,,Malta,2.0,f +41219,,,2.0,t +22725,,,1.0,f +42228,,Lithuania,1.0,t +38321,,Uzbekistan,2.0,t +17583,,Lebanon,1.0,f +7559,100%,Micronesia,1.0,t +27593,,Kenya,1.0,f +44390,,,1.0,f +27122,100%,,1.0,t +20886,,French Guiana,1.0,t +7978,,Kenya,1.0,f +24690,,,1.0,f +16734,,,1.0,t +33694,100%,Niue,2.0,t +42567,100%,Palestinian Territory,1.0,f +24844,100%,Uzbekistan,6.0,f +15439,100%,Switzerland,1.0,f +13619,,,1.0,t +25895,,French Guiana,1.0,f +6309,100%,Kiribati,1.0,t +31065,,,16.0,f +40275,,Micronesia,2.0,f +33796,,Uzbekistan,1.0,t +48910,63%,Monaco,1.0,t +15627,100%,Anguilla,1.0,t +1662,,Estonia,1.0,t +30036,,Slovakia (Slovak Republic),1.0,f +18865,,,1.0,t +27736,,,1.0,t +17586,,French Guiana,1.0,f +23610,,Uzbekistan,1.0,t +14487,,Malawi,1.0,t +4546,100%,Slovakia (Slovak Republic),2.0,t +6729,,,1.0,f +20484,,,1.0,f +10246,,Russian Federation,1.0,f +45192,100%,,1.0,t +16858,,,1.0,f +20695,,,1.0,f +21650,,,1.0,t +11666,73%,Tonga,5.0,t +12776,100%,,1.0,t +39858,,,1.0,t +33368,,Maldives,1.0,t +16816,,Faroe Islands,1.0,t +24778,,China,1.0,t +19828,,Lebanon,1.0,f +28024,,,1.0,f +27012,,Tonga,1.0,t +44025,,Tonga,1.0,t +17380,50%,Jersey,1.0,t +29283,,Tonga,1.0,f +30802,100%,Micronesia,2.0,t +17799,,Djibouti,1.0,f +16570,,French Polynesia,1.0,f +16316,100%,,2.0,t +35181,,Anguilla,2.0,t +11567,100%,Niger,31.0,t +31732,100%,Sao Tome and Principe,2.0,t +6559,,,1.0,f +343,100%,Brazil,2.0,t +30802,100%,Micronesia,2.0,t +9961,,Isle of Man,1.0,t +33127,50%,Denmark,1.0,f +26303,50%,,1.0,t +28985,100%,Monaco,1.0,t +23797,100%,United Kingdom,1.0,t +13546,100%,Rwanda,15.0,f +33060,,,1.0,f +17132,100%,Niue,1.0,t +17754,100%,Mauritania,1.0,f +10150,100%,Anguilla,1.0,f +32293,,El Salvador,1.0,t +4518,100%,Niue,3.0,f +18806,100%,Vietnam,6.0,t +20585,,Tonga,1.0,t +14529,,Peru,2.0,t +39785,100%,Faroe Islands,1.0,f +17486,100%,Montserrat,4.0,t +17486,100%,Montserrat,4.0,t +48610,100%,Niue,3.0,f +39755,,,1.0,f +17675,60%,Svalbard & Jan Mayen Islands,2.0,t +37476,100%,Guernsey,1.0,f +45235,,,1.0,f +11282,,Senegal,1.0,f +2030,100%,Estonia,1.0,t +17486,100%,Montserrat,4.0,t +34614,0%,,1.0,f +4829,100%,Lebanon,2.0,t +29885,,Guinea,1.0,f +49355,,France,2.0,t +26828,,Russian Federation,1.0,f +29033,,Lebanon,1.0,f +11346,100%,Guinea,2.0,t +12699,,Lebanon,1.0,f +34526,,Brazil,1.0,t +35426,,,2.0,f +32018,,Sao Tome and Principe,1.0,f +48296,,Kenya,1.0,f +25446,50%,Mexico,1.0,t +36444,,,1.0,t +27099,,Tanzania,1.0,t +22885,,Sao Tome and Principe,1.0,f +40254,,,1.0,t +29324,86%,Russian Federation,2.0,f +26357,,Nicaragua,1.0,f +40422,,,1.0,t +10393,,Chad,1.0,t +49047,,Djibouti,1.0,t +7990,100%,Puerto Rico,3.0,f +31592,100%,,1.0,t +25481,,,1.0,t +46298,0%,Lebanon,1.0,f +46216,100%,French Guiana,4.0,f +49921,,,1.0,t +47831,100%,Malawi,1.0,t +28002,100%,,1.0,f +23260,100%,Peru,1.0,f +29517,,El Salvador,1.0,f +25801,,Lebanon,1.0,t +10886,,Lebanon,1.0,t +41877,,Cuba,1.0,t +49091,100%,Guinea,1.0,t +41878,91%,Maldives,47.0,f +34717,100%,Niue,3.0,t +41878,91%,Maldives,47.0,f +15629,,,1.0,f +28637,,Chad,1.0,f +20161,,Tonga,1.0,f +4097,100%,Croatia,7.0,f +32488,,Senegal,17.0,t +18844,,Anguilla,1.0,t +39185,60%,Grenada,1.0,f +47022,,,1.0,f +21277,100%,Isle of Man,1.0,t +47739,50%,,1.0,f +19377,,Cocos (Keeling) Islands,1.0,t +17283,,,1.0,f +32434,,Niue,1.0,f +736,,Costa Rica,1.0,f +31065,,,16.0,f +37422,100%,Brazil,4.0,t +35032,90%,Afghanistan,1.0,t +49750,100%,Kenya,2.0,t +12759,,Vanuatu,1.0,f +10412,,Sao Tome and Principe,1.0,f +34225,,,1.0,t +48552,100%,Libyan Arab Jamahiriya,1.0,t +26421,,Gambia,1.0,t +22672,,French Guiana,2.0,t +24150,,Russian Federation,1.0,t +19943,63%,Isle of Man,34.0,f +18112,100%,Malta,1.0,t +31124,100%,France,3.0,f +25488,100%,Gambia,1.0,t +37665,100%,Wallis and Futuna,4.0,t +5379,,Zimbabwe,1.0,t +27458,100%,,1.0,t +14457,,Niue,1.0,t +6689,,,1.0,t +4350,,,2.0,t +28748,,Afghanistan,1.0,t +8202,100%,Kiribati,1.0,f +4687,100%,Tonga,1.0,f +27277,,,1.0,t +32161,100%,Nicaragua,5.0,t +25323,,,1.0,t +28063,100%,Malta,2.0,f +8817,,Isle of Man,1.0,t +20164,,,1.0,t +26104,90%,,1.0,t +943,,Rwanda,1.0,f +26463,,Malta,1.0,f +15218,,Micronesia,2.0,f +38121,,Marshall Islands,1.0,f +47095,,Palestinian Territory,1.0,f +27419,,,1.0,t +1941,100%,El Salvador,1.0,t +12536,,Maldives,1.0,t +45415,,,1.0,f +45546,100%,Cape Verde,19.0,t +11943,100%,Brazil,1.0,f +36054,,French Guiana,3.0,t +5594,,,1.0,f +20555,100%,Tanzania,3.0,t +6691,100%,Monaco,1.0,t +7650,,Libyan Arab Jamahiriya,1.0,t +35001,100%,Christmas Island,2.0,t +26458,,Bahrain,1.0,t +28108,100%,Niue,4.0,t +49489,,,1.0,f +29833,,Zimbabwe,1.0,f +45740,100%,Afghanistan,2.0,t +487,,,1.0,f +7052,,Bouvet Island (Bouvetoya),1.0,f +7226,,Croatia,2.0,t +4127,,,1.0,f +41722,,,1.0,f +11910,100%,Ecuador,1.0,f +47215,,,2.0,f +10666,,Vietnam,1.0,f +19554,,Lebanon,2.0,f +25488,100%,Gambia,1.0,t +30950,100%,French Guiana,3.0,t +2315,,Marshall Islands,1.0,t +31488,,Wallis and Futuna,1.0,t +32842,0%,,1.0,t +3304,100%,,2.0,t +42930,,French Guiana,1.0,f +38833,,Ukraine,2.0,t +23034,99%,Monaco,54.0,f +22146,,Guinea,1.0,t +33038,,Niger,1.0,f +47975,,Russian Federation,1.0,t +31379,100%,France,5.0,t +5382,,Niue,1.0,t +28962,,,2.0,f +9018,50%,Chad,1.0,t +32427,,Guinea,1.0,f +24508,,Mauritania,2.0,f +28213,,French Guiana,1.0,t +15258,100%,Turks and Caicos Islands,1.0,f +37636,,Marshall Islands,2.0,t +6710,,Lebanon,1.0,t +14524,0%,Maldives,1.0,f +32057,100%,Chile,1.0,t +34278,,Gambia,1.0,f +17632,71%,Afghanistan,1.0,t +34114,,Saint Helena,1.0,t +28828,100%,Isle of Man,198.0,t +41878,91%,Maldives,47.0,f +13546,100%,Rwanda,15.0,f +41878,91%,Maldives,47.0,f +45213,,,1.0,t +12279,100%,Lithuania,2.0,t +28962,,,2.0,f +33844,,Jersey,1.0,f +23312,,,1.0,t +12508,70%,Holy See (Vatican City State),3.0,t +47239,100%,,2.0,f +30085,,Niue,1.0,t +23193,,French Guiana,1.0,t +30656,,Denmark,1.0,f +41370,,Uzbekistan,1.0,t +18584,,Reunion,1.0,f +27050,60%,Turks and Caicos Islands,2.0,f +41878,91%,Maldives,47.0,f +40902,,,1.0,f +39126,100%,Guinea,9.0,f +10027,100%,,1.0,t +17116,,Tonga,1.0,t +41499,,Croatia,1.0,f +34915,,Monaco,1.0,t +9332,,Zimbabwe,1.0,t +46698,,,1.0,t +22595,100%,,1.0,t +5595,,,1.0,f +44003,100%,Russian Federation,1.0,t +24007,100%,Uganda,4.0,t +11417,,,1.0,f +49264,,Kiribati,4.0,t +8024,100%,Tonga,1.0,t +7205,,Turkmenistan,1.0,t +35148,,Cook Islands,1.0,t +27478,100%,,2.0,t +44228,,Jersey,1.0,f +1574,,Turks and Caicos Islands,1.0,t +45067,75%,,3.0,t +17063,100%,Micronesia,1.0,f +20288,,,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +25394,,Kiribati,1.0,t +16375,100%,,2.0,f +30475,92%,Vietnam,40.0,f +22906,,,1.0,t +20031,,,2.0,f +42095,100%,Rwanda,3.0,f +42095,100%,Rwanda,3.0,f +1023,,Canada,1.0,f +43858,,Turkmenistan,2.0,t +40519,,Croatia,1.0,t +27984,,,1.0,f +47501,100%,Indonesia,3.0,t +35386,100%,Venezuela,1.0,f +10673,100%,Malta,1.0,f +35762,86%,Russian Federation,1.0,f +45319,,,1.0,t +41878,91%,Maldives,47.0,f +21763,,,1.0,t +40828,,Kenya,1.0,f +23034,99%,Monaco,54.0,f +28327,,Greenland,1.0,t +41915,50%,Russian Federation,1.0,t +15461,,,1.0,t +27092,,Brazil,2.0,f +25844,,Grenada,1.0,t +47822,,Zimbabwe,1.0,t +15593,,Kiribati,1.0,f +46216,100%,French Guiana,4.0,f +22179,,Uzbekistan,1.0,t +272,,,2.0,t +47902,,,1.0,f +41070,100%,,1.0,t +37200,,,1.0,f +26348,,Malta,1.0,f +15731,,,1.0,t +11882,,Sao Tome and Principe,2.0,t +8212,100%,Russian Federation,2.0,t +41138,100%,Turks and Caicos Islands,3.0,t +41138,100%,Turks and Caicos Islands,3.0,t +630,,Netherlands,1.0,f +15959,100%,Russian Federation,2.0,t +32674,,El Salvador,1.0,t +27796,100%,,1.0,f +44232,,Togo,1.0,t +48455,89%,Uzbekistan,20.0,t +11194,100%,Russian Federation,1.0,t +44857,100%,Zimbabwe,24.0,t +24036,,Guernsey,1.0,f +36078,100%,Barbados,1.0,t +43915,,,1.0,t +4085,,Tonga,1.0,f +35579,,Brazil,1.0,f +19257,100%,Malta,1.0,t +6039,100%,Russian Federation,1.0,f +37955,80%,Slovakia (Slovak Republic),3.0,t +33222,67%,Croatia,1.0,f +13599,100%,,2.0,t +33303,100%,Tanzania,1.0,t +40336,,Rwanda,2.0,f +19504,0%,Gambia,1.0,f +15848,,Ghana,1.0,f +8523,100%,Sao Tome and Principe,3.0,t +46133,,Lebanon,2.0,t +36097,100%,Monaco,1.0,t +11257,100%,Maldives,2.0,t +25593,100%,Mauritania,1.0,t +1530,,Niue,1.0,f +42531,,,1.0,f +20411,100%,Pakistan,4.0,t +34033,100%,Afghanistan,2.0,t +10023,,Zimbabwe,1.0,f +42628,100%,Peru,2.0,f +26290,,Guinea,4.0,t +26290,,Guinea,4.0,t +27386,,Chad,2.0,f +24680,,Nicaragua,1.0,t +48946,,Gibraltar,1.0,t +36339,,Kenya,1.0,t +47556,,Jersey,1.0,f +16,,,1.0,t +48782,100%,Bosnia and Herzegovina,2.0,f +6398,,,1.0,f +30071,100%,Gambia,1.0,t +10768,100%,,1.0,t +19029,,,1.0,t +23242,0%,,1.0,t +47923,100%,Niue,1.0,f +847,100%,Chile,1.0,t +35152,,Tonga,1.0,t +10693,,El Salvador,1.0,t +16599,,,1.0,t +4714,,,1.0,t +44679,,Monaco,1.0,f +13623,,,1.0,f +36054,,French Guiana,3.0,t +30407,,Peru,1.0,t +8523,100%,Sao Tome and Principe,3.0,t +16242,100%,Sao Tome and Principe,3.0,t +50076,,Togo,1.0,f +16061,100%,Marshall Islands,1.0,t +36491,33%,El Salvador,1.0,t +39126,100%,Guinea,9.0,f +39126,100%,Guinea,9.0,f +48629,,Micronesia,1.0,f +823,0%,,1.0,f +12167,,Malta,1.0,t +13081,100%,Jersey,3.0,f +46215,,Jersey,1.0,t +24992,,Niue,2.0,t +14767,,,1.0,f +36937,,,1.0,f +13920,100%,,3.0,t +39088,,,1.0,t +23912,50%,,1.0,t +3388,,Sao Tome and Principe,1.0,t +7221,,,1.0,f +35863,,Afghanistan,3.0,t +27758,,El Salvador,1.0,f +39436,100%,United Kingdom,2.0,f +15613,,Philippines,1.0,f +34109,,,1.0,t +47851,100%,Marshall Islands,1.0,t +36463,,Uzbekistan,1.0,t +8617,100%,Guernsey,4.0,t +30475,92%,Vietnam,40.0,f +5411,100%,Marshall Islands,1.0,t +30188,89%,El Salvador,2.0,t +49961,100%,Russian Federation,3.0,t +796,,,1.0,f +31162,100%,,1.0,f +4227,,Niue,1.0,f +18545,94%,Isle of Man,8.0,t +48487,100%,Tunisia,2.0,t +7226,,Croatia,2.0,t +6858,,Kenya,1.0,f +30521,,Anguilla,1.0,f +2380,,Saint Helena,1.0,t +29188,100%,French Guiana,3.0,t +28915,100%,,1.0,t +4300,100%,,1.0,t +29790,,Korea,1.0,t +37802,,Micronesia,1.0,f +38609,,Brazil,1.0,f +1745,,Bosnia and Herzegovina,1.0,f +36897,,Tonga,1.0,t +23914,,Micronesia,1.0,f +17635,,United Kingdom,1.0,t +32695,,Isle of Man,1.0,f +3575,,,1.0,f +8562,,Brazil,1.0,t +7544,,Kenya,1.0,t +40833,,Lebanon,1.0,t +9759,100%,Isle of Man,1.0,t +3326,,,1.0,t +14416,,Gambia,1.0,t +45035,,,1.0,t +15336,,,1.0,t +15037,,,1.0,f +38203,100%,Guinea,2.0,t +2973,,Philippines,1.0,f +18712,95%,Turks and Caicos Islands,11.0,t +35402,100%,Croatia,2.0,t +37,,Montserrat,1.0,f +45919,100%,Montserrat,9.0,t +14514,,China,80.0,t +5038,,Guinea,1.0,f +20240,,Uzbekistan,1.0,f +14514,,China,80.0,t +44032,,Tanzania,2.0,t +44550,0%,,1.0,t +10488,100%,Niger,17.0,t +1157,100%,Nicaragua,1.0,f +5275,100%,Cuba,1.0,f +5542,,Mauritania,1.0,f +24997,,Palestinian Territory,1.0,t +6503,100%,United Kingdom,1.0,t +33324,,Peru,1.0,f +12859,0%,,1.0,f +38130,,Sao Tome and Principe,1.0,f +41584,,,1.0,t +17319,,Isle of Man,1.0,t +43911,,Maldives,1.0,f +13853,90%,Niue,1.0,t +47208,,Malta,1.0,f +28580,100%,Kiribati,1.0,f +503,,Maldives,3.0,t +35444,100%,Anguilla,1.0,f +36518,,Chile,1.0,f +26290,,Guinea,4.0,t +26028,,Maldives,1.0,t +30684,100%,Niue,2.0,t +38585,100%,,1.0,t +6774,,,1.0,t +27855,100%,Russian Federation,2.0,t +47359,,Estonia,1.0,f +30475,92%,Vietnam,40.0,f +23194,100%,Ecuador,1.0,t +34903,0%,Lebanon,1.0,t +583,,Bouvet Island (Bouvetoya),1.0,t +15860,100%,Maldives,11.0,f +43152,100%,Nicaragua,82.0,t +46661,100%,,1.0,f +35385,,,3.0,t +16994,,French Guiana,1.0,t +48000,100%,Afghanistan,1.0,f +2213,,Uzbekistan,1.0,t +50,100%,Kenya,1.0,t +41312,100%,Uganda,1.0,t +43152,100%,Nicaragua,82.0,t +22321,100%,United Kingdom,16.0,f +46765,,Croatia,2.0,f +7265,100%,Lithuania,1.0,t +46956,63%,Jersey,2.0,t +31850,100%,Kenya,1.0,f +20684,80%,Russian Federation,1.0,t +14888,,,1.0,f +13508,100%,Gibraltar,1.0,t +4949,,,1.0,f +15556,,Monaco,1.0,f +15474,,Sao Tome and Principe,1.0,t +14488,,Venezuela,1.0,f +35385,,,3.0,t +40530,,,1.0,t +17546,100%,Denmark,1.0,f +49988,,Faroe Islands,1.0,t +4584,,Finland,1.0,f +29658,100%,United Kingdom,4.0,f +32931,,Lebanon,2.0,t +5528,,Lebanon,1.0,t +38673,,,1.0,t +25877,100%,Uzbekistan,2.0,f +10905,100%,,2.0,f +48561,,Sao Tome and Principe,1.0,f +45537,60%,Russian Federation,1.0,t +33241,,Cocos (Keeling) Islands,1.0,f +37148,,,1.0,t +30957,,Nicaragua,1.0,t +23034,99%,Monaco,54.0,f +15306,,Barbados,8.0,t +38002,,,1.0,t +7845,,Mauritania,1.0,t +11392,,Kiribati,2.0,f +12272,50%,Zimbabwe,1.0,t +44726,,,1.0,f +21991,100%,Djibouti,2.0,f +25243,,,1.0,f +23025,,,1.0,f +28766,100%,Estonia,16.0,f +42530,,Niue,1.0,f +49604,,Afghanistan,2.0,t +17593,,Russian Federation,1.0,t +10727,,Croatia,1.0,f +26975,100%,Holy See (Vatican City State),2.0,t +40026,,Niue,1.0,t +27638,60%,Guernsey,1.0,f +24987,100%,Switzerland,1.0,t +36325,100%,Nauru,2.0,f +37309,,Niue,1.0,t +23002,,Guinea,1.0,t +1316,100%,Faroe Islands,1.0,t +28287,,Monaco,1.0,t +24595,100%,Guinea,3.0,t +37811,100%,Isle of Man,1.0,t +18484,100%,Gambia,108.0,f +37755,,Ukraine,1.0,t +34096,100%,Andorra,10.0,f +36555,,,1.0,f +46498,,Vanuatu,1.0,f +18358,100%,Zimbabwe,1.0,t +20868,100%,Montserrat,2.0,t +6853,,Gibraltar,1.0,f +37836,100%,,1.0,t +36242,,,1.0,f +23617,,,2.0,t +7598,,France,1.0,f +33912,,Zimbabwe,2.0,f +18400,,Estonia,1.0,f +10305,,Somalia,3.0,t +49216,83%,,1.0,t +42733,88%,,4.0,t +25172,,,1.0,f +8064,100%,,1.0,f +29351,90%,Isle of Man,3.0,t +7020,,Niue,1.0,t +46648,100%,Faroe Islands,4.0,t +46648,100%,Faroe Islands,4.0,t +37815,88%,Kenya,3.0,f +3928,100%,United Kingdom,1.0,t +39026,,Nicaragua,1.0,t +16056,,Cocos (Keeling) Islands,1.0,f +21714,,Indonesia,1.0,f +40601,,,1.0,f +7252,100%,Nicaragua,1.0,f +29172,0%,Gambia,1.0,f +22255,,Anguilla,1.0,f +36280,,,1.0,f +2631,100%,Togo,2.0,f +2500,,Maldives,1.0,t +13443,,Bahrain,1.0,t +32628,40%,United Kingdom,1.0,t +24172,,Togo,1.0,f +29292,100%,Malta,3.0,t +30337,100%,,1.0,t +48666,50%,Niue,1.0,t +42749,,,1.0,f +37442,,,1.0,t +31323,,Togo,1.0,t +43502,,,1.0,t +22229,100%,Afghanistan,3.0,t +2331,,,1.0,t +4876,,Senegal,9.0,f +11938,,,1.0,f +42542,,,1.0,t +33151,100%,,1.0,f +28037,,China,1.0,f +13195,,Costa Rica,1.0,t +39687,100%,Nicaragua,1.0,t +28981,,Turkmenistan,1.0,t +44092,100%,Malawi,1.0,t +7417,,Isle of Man,1.0,t +38762,100%,Rwanda,1.0,f +39475,100%,,1.0,f +17640,,,1.0,t +15432,,Gibraltar,1.0,f +16562,,Tunisia,1.0,t +35586,,Guernsey,1.0,t +17646,,,1.0,f +23,,El Salvador,1.0,t +449,100%,Micronesia,1.0,f +20639,100%,Nicaragua,1.0,f +15387,,Russian Federation,1.0,t +33863,,El Salvador,1.0,t +6804,,Christmas Island,1.0,t +40786,,,1.0,t +15980,,,1.0,f +25457,,Chad,1.0,f +7371,,Maldives,1.0,f +27111,100%,France,1.0,t +34383,,Philippines,1.0,t +47061,,,1.0,f +22246,,,1.0,t +1715,,,1.0,f +13469,,Libyan Arab Jamahiriya,1.0,t +19342,,Lebanon,1.0,f +42442,,Maldives,1.0,f +39038,,Bosnia and Herzegovina,2.0,f +39804,,Russian Federation,1.0,f +29234,100%,Togo,9.0,t +43419,,,1.0,f +49356,100%,,1.0,t +11232,,,1.0,t +13734,,Zimbabwe,1.0,f +25841,,,1.0,t +14564,,Lebanon,1.0,t +41785,,Anguilla,1.0,f +16382,100%,Somalia,5.0,t +35890,,Saint Helena,1.0,f +22495,,Nicaragua,1.0,t +24881,,,2.0,f +46076,100%,Russian Federation,2.0,t +28975,100%,,1.0,t +14825,,Uzbekistan,1.0,f +34402,79%,Reunion,28.0,f +26894,100%,Philippines,1.0,f +40182,100%,Brunei Darussalam,2.0,f +30475,92%,Vietnam,40.0,f +7341,,Faroe Islands,1.0,t +12632,,Uzbekistan,1.0,f +7670,100%,Isle of Man,1.0,t +902,,Niue,1.0,t +6359,,Nicaragua,1.0,t +10650,,,1.0,f +15088,,Monaco,1.0,t +40763,,,1.0,t +35330,,,1.0,t +38988,,Lebanon,1.0,t +15939,,,1.0,t +6274,,,1.0,f +575,,Sao Tome and Principe,1.0,t +19838,,Chad,1.0,f +23510,100%,Malta,3.0,f +40206,100%,,1.0,t +26595,,Mauritania,1.0,f +20558,,,1.0,t +926,,Turkmenistan,1.0,f +23510,100%,Malta,3.0,f +13081,100%,Jersey,3.0,f +10137,,,2.0,f +33040,,French Guiana,1.0,t +44663,,,1.0,t +15894,,,1.0,t +24583,,Bahrain,1.0,f +32469,,Sao Tome and Principe,1.0,f +14182,,Micronesia,1.0,t +4947,,,1.0,t +29309,,Micronesia,1.0,t +1648,,,1.0,t +767,100%,Uganda,2.0,f +15674,100%,Pakistan,5.0,f +3599,,Vanuatu,2.0,t +27999,,Maldives,1.0,t +29647,100%,Peru,1305.0,f +10339,,,2.0,t +14627,100%,,4.0,t +3450,,,1.0,t +15775,,Tonga,1.0,t +8121,,Rwanda,1.0,f +33814,,Faroe Islands,9.0,f +40414,95%,Somalia,4.0,f +12569,,Lebanon,1.0,f +1525,100%,Uzbekistan,1.0,t +28807,,Isle of Man,7.0,t +23697,,,2.0,f +22312,100%,,1.0,t +41929,,Mauritania,1.0,t +12027,100%,Uzbekistan,4.0,t +3329,,Uzbekistan,4.0,f +14647,,Isle of Man,1.0,f +10244,100%,Philippines,10.0,f +43749,100%,Nicaragua,1.0,f +42997,,Zimbabwe,1.0,t +46406,100%,,1.0,t +31148,,,1.0,f +31532,,,1.0,f +46751,,Spain,1.0,t +18460,60%,Monaco,6.0,f +17115,100%,Gambia,2.0,t +24519,,Saint Martin,2.0,f +34827,,Turkmenistan,1.0,t +29601,,Faroe Islands,6.0,t +7660,,Papua New Guinea,1.0,t +1083,,,2.0,f +45988,,Togo,1.0,f +48419,,Lithuania,1.0,f +44454,,,1.0,t +26122,,Nicaragua,2.0,f +27797,,Switzerland,2.0,t +3159,,Isle of Man,1.0,t +852,100%,Marshall Islands,1.0,t +16354,100%,Hong Kong,4.0,f +47568,,Greenland,1.0,f +28277,,Lebanon,1.0,f +9272,,Lebanon,1.0,f +23246,,,1.0,f +48020,,,1.0,f +12287,,Bosnia and Herzegovina,1.0,t +3011,,Guinea,2.0,f +5515,100%,Monaco,2.0,t +11221,,Sao Tome and Principe,1.0,t +799,,Uganda,1.0,f +32973,,Rwanda,1.0,t +14189,,Niue,1.0,t +41805,,Croatia,1.0,t +30287,,Lebanon,1.0,t +24992,,Niue,2.0,t +47924,0%,Cocos (Keeling) Islands,3.0,f +47924,0%,Cocos (Keeling) Islands,3.0,f +27496,,Marshall Islands,1.0,t +15699,100%,Niue,4.0,f +20911,,Papua New Guinea,1.0,t +34895,100%,Estonia,16.0,t +41006,,,1.0,t +41015,,Sao Tome and Principe,1.0,t +4264,,,2.0,t +25052,64%,,5.0,t +25052,64%,,5.0,t +35404,,,1.0,f +46691,90%,Uzbekistan,38.0,f +29319,,Kenya,1.0,f +4243,100%,,1.0,t +1172,,French Guiana,1.0,t +7646,0%,El Salvador,1.0,t +19523,100%,,1.0,f +24096,,,1.0,t +41179,,Lebanon,1.0,f +49677,,,1.0,t +16870,,Gibraltar,1.0,f +44212,,Somalia,2.0,f +44212,,Somalia,2.0,f +15674,100%,Pakistan,5.0,f +26510,100%,,1.0,f +35385,,,3.0,t +13626,100%,Cape Verde,1.0,t +25963,,El Salvador,1.0,t +15674,100%,Pakistan,5.0,f +31447,,Nicaragua,1.0,t +46691,90%,Uzbekistan,38.0,f +15674,100%,Pakistan,5.0,f +15674,100%,Pakistan,5.0,f +14075,100%,Indonesia,2.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +28828,100%,Isle of Man,198.0,t +19840,100%,,1.0,f +22307,,Fiji,1.0,f +46755,100%,Micronesia,1.0,t +39721,,Tunisia,1.0,f +41716,,,1.0,f +24128,54%,Suriname,9.0,t +34402,79%,Reunion,28.0,f +13824,100%,Turks and Caicos Islands,2.0,f +6414,,Guernsey,1.0,f +19349,,,1.0,f +2345,,Marshall Islands,1.0,t +34791,90%,,1.0,t +35867,,United Kingdom,1.0,t +7972,100%,Uzbekistan,2.0,t +14477,100%,Reunion,26.0,t +8810,,,1.0,t +39654,90%,Uzbekistan,1.0,t +38949,100%,,2.0,t +33004,100%,Russian Federation,2.0,t +33004,100%,Russian Federation,2.0,t +44110,,Croatia,1.0,t +28333,33%,Jersey,1.0,t +28984,,Tanzania,1.0,f +35973,,French Polynesia,2.0,t +952,,Grenada,2.0,f +15618,,Mauritania,1.0,f +46691,90%,Uzbekistan,38.0,f +1985,,,1.0,f +77,50%,Monaco,2.0,f +44665,0%,Micronesia,1.0,t +36625,,Niger,1.0,f +19975,,Bahrain,1.0,f +49178,,,1.0,t +11733,,Guinea,1.0,t +17379,,Monaco,1.0,t +13498,,Monaco,1.0,f +14798,,Jersey,1.0,t +4413,,Kiribati,1.0,t +8898,100%,Ecuador,2.0,t +8274,,Chile,1.0,t +27050,60%,Turks and Caicos Islands,2.0,f +8797,,Isle of Man,1.0,f +28124,100%,Costa Rica,2.0,t +15296,,Russian Federation,1.0,f +46466,,Sao Tome and Principe,2.0,t +24844,100%,Uzbekistan,6.0,f +35661,,,1.0,f +331,0%,,1.0,t +25717,100%,Tonga,2.0,t +4996,,,1.0,f +23895,100%,Jersey,2.0,f +42360,100%,Marshall Islands,1.0,f +8659,100%,,1.0,t +20891,100%,Niue,2.0,t +482,,Svalbard & Jan Mayen Islands,1.0,f +17069,,,1.0,f +15362,,Guinea,1.0,t +20794,,Isle of Man,1.0,t +32325,,Croatia,1.0,f +15441,,,1.0,t +48722,,,1.0,t +3585,,,1.0,t +12133,100%,Mexico,4.0,f +32222,,Gambia,4.0,f +23401,,Chile,3.0,f +4260,,,1.0,t +23423,,Guernsey,1.0,t +3711,,,1.0,t +23006,100%,Estonia,1.0,f +460,,Lebanon,1.0,t +7274,,,1.0,f +5703,,,1.0,f +2536,,,1.0,f +26854,,Ecuador,1.0,f +6894,80%,Estonia,47.0,t +8429,100%,Cape Verde,2.0,t +31590,,Russian Federation,1.0,f +40241,,Reunion,1.0,t +3423,,Nauru,3.0,f +36696,,,1.0,f +40866,,,1.0,f +34874,60%,Jersey,1.0,f +29731,,Lithuania,1.0,t +13032,,Niger,1.0,f +28699,,Bouvet Island (Bouvetoya),1.0,f +32407,100%,Estonia,1.0,t +17721,100%,,1.0,f +27768,65%,Kiribati,15.0,t +13697,,,1.0,t +37766,,Bosnia and Herzegovina,1.0,f +6091,,Isle of Man,1.0,t +10819,100%,Mexico,6.0,f +40413,100%,Kiribati,2.0,f +30424,,United Kingdom,1.0,t +18778,,Bosnia and Herzegovina,1.0,t +42996,,Jersey,1.0,f +24878,100%,,1.0,t +3198,100%,,1.0,t +22430,100%,Mauritania,2.0,t +33194,,,1.0,f +25611,,Estonia,1.0,f +34016,100%,Maldives,1.0,t +28466,100%,Philippines,1.0,t +31494,100%,Puerto Rico,2.0,f +14419,92%,Cuba,2.0,t +17149,,Kenya,1.0,f +16212,100%,Svalbard & Jan Mayen Islands,1.0,t +3423,,Nauru,3.0,f +24760,,San Marino,1.0,f +3513,,Uganda,2.0,t +23034,99%,Monaco,54.0,f +30824,,Guernsey,1.0,f +47917,,Monaco,1.0,t +29347,100%,Zimbabwe,2.0,f +34518,100%,Sao Tome and Principe,1.0,f +30708,100%,Australia,5.0,f +30708,100%,Australia,5.0,f +17215,97%,Maldives,9.0,f +5662,100%,Bouvet Island (Bouvetoya),1.0,f +43966,,,1.0,f +29698,100%,Kiribati,3.0,f +34402,79%,Reunion,28.0,f +4909,90%,,2.0,f +29836,,Niue,1.0,f +23832,,Uzbekistan,1.0,f +14717,,Isle of Man,1.0,f +29926,67%,Zimbabwe,7.0,t +29926,67%,Zimbabwe,7.0,t +33680,100%,Rwanda,1.0,t +34402,79%,Reunion,28.0,f +43637,,Guernsey,1.0,f +24420,,Turks and Caicos Islands,1.0,f +6525,100%,Indonesia,3.0,t +34402,79%,Reunion,28.0,f +28726,,Russian Federation,1.0,f +7743,100%,,1.0,f +8859,90%,Ukraine,5.0,f +11391,,Rwanda,1.0,f +49612,,Kenya,1.0,f +38077,100%,Lebanon,1.0,t +30475,92%,Vietnam,40.0,f +4017,,Venezuela,1.0,t +31945,100%,,1.0,t +12850,,France,1.0,f +6838,96%,Spain,59.0,t +3436,100%,,2.0,f +30173,,,1.0,t +18179,100%,,1.0,t +43981,,Guinea,1.0,t +33136,,Isle of Man,1.0,f +12598,100%,Montserrat,3.0,f +37592,100%,Monaco,1.0,f +13213,,Lebanon,1.0,f +46156,,Sao Tome and Principe,1.0,t +5537,100%,Micronesia,1.0,f +5763,,Rwanda,1.0,t +44992,100%,,1.0,f +42229,100%,Fiji,25.0,f +38815,,Croatia,2.0,t +42714,100%,,1.0,f +43988,,Niue,1.0,t +46370,,Isle of Man,1.0,t +38194,,,1.0,f +43788,100%,,2.0,f +3208,,Maldives,1.0,t +43283,,Sao Tome and Principe,1.0,f +43096,,El Salvador,1.0,t +49697,,Bahrain,1.0,f +1996,,Isle of Man,1.0,f +10449,,Uzbekistan,1.0,f +27561,100%,Nicaragua,2.0,t +13718,50%,,2.0,t +16853,100%,,1.0,f +1034,,Maldives,1.0,t +44305,,Kiribati,1.0,t +45067,75%,,3.0,t +28828,100%,Isle of Man,198.0,t +21769,,Ecuador,1.0,t +1705,100%,Russian Federation,2.0,t +45900,,Monaco,1.0,f +30539,,Christmas Island,1.0,f +29804,,Malta,1.0,f +6209,80%,Nicaragua,9.0,t +9085,,Guinea,1.0,t +46823,,,1.0,f +49399,100%,Guinea,4.0,t +20979,,French Guiana,1.0,f +372,,,1.0,f +39675,100%,Estonia,1.0,f +14057,,Mauritania,1.0,t +8830,,United Kingdom,3.0,f +44054,,Marshall Islands,1.0,t +8830,,United Kingdom,3.0,f +42921,100%,Chile,3.0,f +37665,100%,Wallis and Futuna,4.0,t +45020,,Marshall Islands,1.0,t +26833,,France,1.0,f +27119,94%,Nicaragua,10.0,t +20821,,Zimbabwe,2.0,f +40156,100%,Niger,2.0,t +21206,,Isle of Man,2.0,t +10747,100%,Kiribati,2.0,t +28828,100%,Isle of Man,198.0,t +49283,,,1.0,t +9454,,,1.0,t +7706,,Jersey,1.0,t +32999,,French Guiana,1.0,t +2400,33%,,1.0,t +30399,,,1.0,f +4786,,Russian Federation,1.0,t +18779,100%,Mexico,4.0,t +26573,,Zimbabwe,1.0,f +40960,100%,Niue,1.0,t +12738,100%,Ecuador,2.0,t +27914,,,1.0,t +37665,100%,Wallis and Futuna,4.0,t +8275,70%,Gibraltar,2.0,f +27161,,Rwanda,1.0,f +8275,70%,Gibraltar,2.0,f +4964,100%,Malawi,1.0,t +49470,100%,,1.0,f +13642,,Kiribati,1.0,t +42127,,Chile,1.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +29324,86%,Russian Federation,2.0,f +6209,80%,Nicaragua,9.0,t +12389,100%,,1.0,t +11001,,Papua New Guinea,1.0,f +31438,100%,Nicaragua,5.0,t +36185,,,1.0,f +43414,,Afghanistan,1.0,f +39833,,Djibouti,1.0,t +46779,,Ukraine,2.0,t +20297,80%,Montserrat,17.0,f +1981,,,1.0,f +43074,100%,,1.0,f +2569,100%,Venezuela,3.0,t +21939,,Isle of Man,1.0,t +31341,,Russian Federation,2.0,f +31341,,Russian Federation,2.0,f +2569,100%,Venezuela,3.0,t +42524,,Nauru,1.0,t +38813,,Gambia,1.0,t +13920,100%,,3.0,t +6328,,China,1.0,f +58,,,1.0,t +43765,100%,Turkmenistan,1.0,t +33732,100%,Jersey,1.0,t +18217,,French Guiana,2.0,f +13963,100%,Malta,2.0,t +1900,100%,Tunisia,5.0,t +10819,100%,Mexico,6.0,f +43698,,,1.0,f +25388,,Switzerland,1.0,t +21303,,Nicaragua,1.0,t +41065,,Isle of Man,1.0,t +32338,,Bosnia and Herzegovina,2.0,t +2680,,,1.0,t +11820,100%,Sao Tome and Principe,1.0,f +45112,,Chad,1.0,t +40247,50%,,1.0,t +23245,,Lebanon,1.0,f +19400,100%,Gibraltar,7.0,f +10026,90%,Barbados,2.0,f +48907,100%,,2.0,t +36818,,Maldives,1.0,f +11453,,,1.0,t +46735,,Gibraltar,1.0,f +2620,,Pakistan,1.0,t +3510,,France,1.0,t +48025,,Lebanon,1.0,t +47168,100%,Netherlands,8.0,f +29966,,Russian Federation,1.0,f +12926,,,1.0,f +24896,100%,Algeria,50.0,t +35591,,Chad,1.0,f +44471,,Gibraltar,2.0,t +47594,100%,Kenya,17.0,t +40166,,,1.0,t +2615,100%,Maldives,2.0,t +40560,100%,Barbados,5.0,t +1166,,Lithuania,9.0,t +38157,,Isle of Man,1.0,f +36622,100%,,1.0,t +33451,,Gambia,1.0,f +35454,100%,China,9.0,f +8880,0%,Kiribati,1.0,f +44400,,Tanzania,1.0,t +14008,,,1.0,t +47195,100%,,1.0,f +25758,,Ghana,1.0,t +12507,,,1.0,t +19717,,United Kingdom,1.0,f +29181,,Niue,1.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +34698,100%,Faroe Islands,1.0,t +15445,,Tonga,1.0,t +4078,100%,Cape Verde,2.0,t +38380,,,1.0,f +14226,,,1.0,f +41473,,Niue,2.0,t +10464,,Sao Tome and Principe,1.0,f +31987,,Isle of Man,1.0,f +6955,,Nicaragua,1.0,t +964,,,1.0,t +48081,100%,Marshall Islands,1.0,f +46764,100%,Chile,3.0,t +34970,,,1.0,f +4656,,Niue,1.0,t +32742,100%,Nicaragua,3.0,t +1625,100%,Indonesia,1.0,f +41504,100%,Monaco,2.0,t +38980,,Cape Verde,1.0,f +35590,,Turkmenistan,1.0,f +26935,,Philippines,1.0,t +45698,,Vanuatu,1.0,t +32130,,Cuba,2.0,t +49782,90%,Kenya,3.0,t +27191,100%,Lebanon,1.0,f +12715,100%,Estonia,29.0,f +49626,,Tanzania,2.0,t +7989,,Mauritania,1.0,f +19400,100%,Gibraltar,7.0,f +28661,,Indonesia,1.0,t +20075,,,1.0,t +1814,,,1.0,t +30476,,,1.0,f +11112,,,1.0,t +17966,100%,Isle of Man,1.0,t +3657,,French Guiana,5.0,t +18370,100%,Mauritania,1.0,t +40514,,Ecuador,1.0,f +28364,,Guernsey,1.0,t +7947,,Anguilla,1.0,f +11764,,Gibraltar,1.0,t +16690,88%,Malawi,2.0,t +16865,,Micronesia,2.0,t +12218,,,1.0,t +1351,,Micronesia,1.0,t +23121,,Lithuania,1.0,t +4208,,Guernsey,1.0,t +9980,,,1.0,t +23058,100%,Philippines,1.0,f +21654,96%,Solomon Islands,5.0,t +49841,,,1.0,f +11656,,,1.0,f +30867,,,1.0,f +48907,100%,,2.0,t +21507,100%,Togo,2.0,f +314,,Libyan Arab Jamahiriya,1.0,t +26765,,,1.0,t +44613,100%,,1.0,t +4638,,Cape Verde,1.0,f +37711,100%,Niue,2.0,t +17496,,,1.0,f +8560,,,1.0,f +23925,,Sao Tome and Principe,1.0,f +28877,,Kiribati,1.0,t +1415,,Venezuela,1.0,f +38368,,,1.0,t +21414,,Russian Federation,1.0,f +13249,100%,,1.0,t +28828,100%,Isle of Man,198.0,t +6894,80%,Estonia,47.0,t +10694,,Somalia,1.0,t +46545,,Guinea,1.0,f +43178,100%,Marshall Islands,2.0,f +4246,100%,Gibraltar,2.0,t +38884,,,1.0,f +20805,,Nauru,2.0,t +19550,,Marshall Islands,1.0,t +48302,,Russian Federation,2.0,t +27038,,Ghana,1.0,f +38267,90%,United Kingdom,1.0,t +13071,100%,Sao Tome and Principe,1.0,f +39100,100%,,2.0,t +39586,75%,,1.0,f +45745,,Croatia,1.0,f +24047,,Tonga,2.0,t +40097,,Lebanon,1.0,f +13716,80%,,1.0,f +41253,90%,Sao Tome and Principe,3.0,t +48896,100%,Isle of Man,1.0,f +43444,,Chad,1.0,t +2972,,French Guiana,1.0,f +36651,,Guinea,1.0,f +15278,,Isle of Man,1.0,t +19555,100%,Faroe Islands,3.0,t +19555,100%,Faroe Islands,3.0,t +36222,100%,,2.0,f +13506,100%,Mexico,1.0,t +8504,,,1.0,t +2549,100%,Russian Federation,3.0,f +2549,100%,Russian Federation,3.0,f +48028,,Korea,1.0,f +22028,,,1.0,f +16823,,Faroe Islands,1.0,f +32975,100%,Micronesia,3.0,f +14364,100%,Nauru,9.0,f +28809,100%,,1.0,f +21243,,Russian Federation,1.0,t +2079,,Uganda,1.0,f +31545,,,1.0,f +6838,96%,Spain,59.0,t +33992,,Mauritania,2.0,f +5475,,Kenya,1.0,f +8953,90%,Micronesia,7.0,t +23476,,Uzbekistan,1.0,t +34987,,Russian Federation,2.0,t +43733,,Chile,1.0,f +20187,100%,Cuba,3.0,t +36986,,Isle of Man,2.0,t +23049,100%,,1.0,t +23843,100%,Isle of Man,3.0,t +31535,,Malta,2.0,t +31535,,Malta,2.0,t +41878,91%,Maldives,47.0,f +21666,,Nauru,1.0,t +10848,,Uzbekistan,1.0,f +16308,,,1.0,f +14813,,Philippines,1.0,f +4021,,Cocos (Keeling) Islands,1.0,t +20442,,Indonesia,2.0,t +4188,,Isle of Man,1.0,t +12462,,Brazil,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +24202,90%,Rwanda,1.0,f +37781,,Zimbabwe,1.0,f +47885,,,1.0,f +22610,,,1.0,f +4864,,Lebanon,1.0,f +26763,,Tonga,1.0,t +2546,,,1.0,t +25558,100%,Estonia,1.0,f +30389,,Niue,1.0,t +21388,100%,,1.0,t +23388,,Venezuela,1.0,f +9835,,Isle of Man,1.0,t +10244,100%,Philippines,10.0,f +16839,,,1.0,f +24932,80%,Kiribati,2.0,t +34031,,,1.0,t +44574,100%,Mexico,1.0,t +30406,,Russian Federation,2.0,f +3872,80%,Niue,1.0,f +28249,,Bosnia and Herzegovina,1.0,f +48099,,Ghana,1.0,f +44275,,,1.0,t +6825,,Croatia,1.0,t +49439,,,1.0,f +26812,100%,United Kingdom,1.0,t +16998,100%,Bahrain,2.0,f +4578,,Russian Federation,1.0,t +34461,,Kenya,1.0,t +3187,100%,Tonga,2.0,t +39893,100%,Niue,2.0,f +4180,,Niue,1.0,f +42744,,,1.0,t +19987,100%,French Polynesia,4.0,f +18827,,Gibraltar,1.0,f +35657,100%,Zimbabwe,2.0,t +39051,,,1.0,t +6894,80%,Estonia,47.0,t +41887,100%,,1.0,t +26792,,Bouvet Island (Bouvetoya),1.0,t +2784,,Pakistan,1.0,f +4585,,Philippines,1.0,t +29345,100%,Kenya,1.0,t +24678,,Faroe Islands,2.0,f +45001,,Ghana,1.0,f +28230,,French Guiana,1.0,t +10244,100%,Philippines,10.0,f +29194,,Barbados,3.0,t +42204,,Micronesia,2.0,t +5981,,,1.0,t +18641,100%,Maldives,2.0,t +48382,100%,Niue,3.0,t +20442,,Indonesia,2.0,t +14121,100%,,1.0,f +30446,0%,China,1.0,f +19287,,,1.0,f +41181,100%,Rwanda,2.0,f +46488,,Chad,1.0,t +20834,,Lebanon,2.0,f +6090,,Gambia,1.0,f +16516,,,1.0,f +30299,,Senegal,1.0,f +6550,,Micronesia,1.0,f +28901,,Maldives,1.0,f +19429,,Turkmenistan,1.0,f +15635,84%,,3.0,f +29082,100%,Ecuador,2.0,t +9626,100%,,1.0,f +36416,,Tonga,1.0,f +34000,,Monaco,1.0,f +42244,,Niue,1.0,t +48266,100%,Uganda,3.0,t +29647,100%,Peru,1305.0,f +6507,100%,Tanzania,1.0,t +37579,100%,,2.0,t +14298,100%,Zimbabwe,1.0,t +8574,100%,Niue,2.0,f +5515,100%,Monaco,2.0,t +29653,,,1.0,t +24226,,Chad,1.0,t +36765,,,1.0,f +29647,100%,Peru,1305.0,f +25672,,Reunion,1.0,f +28507,,,1.0,f +34402,79%,Reunion,28.0,f +5166,100%,Ecuador,16.0,t +5166,100%,Ecuador,16.0,t +5166,100%,Ecuador,16.0,t +5166,100%,Ecuador,16.0,t +31369,100%,French Guiana,1.0,t +29647,100%,Peru,1305.0,f +40148,,Slovakia (Slovak Republic),1.0,f +31846,,,1.0,t +36090,,Tonga,1.0,f +35302,,Guinea,1.0,f +2989,,,1.0,f +16835,,,1.0,f +23918,,Uzbekistan,1.0,t +40279,,Monaco,1.0,t +46902,,El Salvador,1.0,t +10893,,Turkmenistan,1.0,f +33800,,Chad,1.0,f +26840,,Nicaragua,1.0,f +13780,100%,Guinea,1.0,f +11253,,Ghana,7.0,f +14644,,Russian Federation,3.0,f +43154,100%,,1.0,t +944,,Vietnam,7.0,t +30227,,,1.0,f +16196,,,2.0,f +41773,78%,Maldives,2.0,t +982,99%,Marshall Islands,32.0,f +41860,,Niue,1.0,f +13876,,,1.0,t +4869,,,1.0,f +7057,,Sao Tome and Principe,1.0,f +36110,,Guernsey,1.0,t +5734,,,1.0,t +29926,67%,Zimbabwe,7.0,t +29647,100%,Peru,1305.0,f +25707,,,1.0,f +23130,100%,,1.0,t +535,,Nicaragua,1.0,f +551,95%,Rwanda,17.0,f +43404,,,2.0,f +42536,,Monaco,1.0,t +24047,,Tonga,2.0,t +17577,,Lebanon,1.0,t +16145,,French Guiana,1.0,f +34285,100%,Russian Federation,1.0,t +37471,88%,,1.0,f +35439,94%,United Kingdom,23.0,t +30475,92%,Vietnam,40.0,f +42248,,,1.0,f +45546,100%,Cape Verde,19.0,t +22706,,Mauritania,1.0,f +12021,,,1.0,t +19725,,,1.0,t +28980,,Nauru,1.0,t +11591,,,1.0,t +46935,90%,Costa Rica,2.0,t +12619,,Rwanda,1.0,t +18157,,,1.0,f +15323,75%,Slovakia (Slovak Republic),1.0,f +36643,98%,Maldives,17.0,f +41486,50%,Micronesia,2.0,f +29306,100%,,1.0,f +6648,,Turks and Caicos Islands,1.0,f +14414,,Tonga,1.0,t +25214,,,1.0,f +38162,100%,Niger,8.0,f +34318,,Isle of Man,1.0,t +34964,,Jersey,1.0,f +27741,100%,Rwanda,1.0,f +29647,100%,Peru,1305.0,f +37937,100%,Togo,1.0,f +1624,,Guernsey,1.0,f +46351,100%,Jersey,2.0,t +9987,,French Guiana,1.0,t +16678,,Micronesia,1.0,f +29647,100%,Peru,1305.0,f +19584,0%,Russian Federation,1.0,f +49538,,,1.0,f +5450,,,1.0,f +37710,,French Guiana,2.0,f +888,100%,Christmas Island,1.0,t +15366,,Micronesia,1.0,t +6036,,Isle of Man,1.0,f +17351,100%,Rwanda,2.0,f +29647,100%,Peru,1305.0,f +49416,,Rwanda,1.0,t +479,100%,Pakistan,4.0,f +30629,,Croatia,1.0,f +32704,,Nicaragua,1.0,t +48510,,Tonga,1.0,t +29647,100%,Peru,1305.0,f +45695,78%,,1.0,t +41559,100%,Montserrat,4.0,t +36171,,Sao Tome and Principe,6.0,t +29647,100%,Peru,1305.0,f +22251,100%,Gambia,11.0,f +40743,,Niger,2.0,t +28828,100%,Isle of Man,198.0,t +739,,Guinea,1.0,f +44196,,Faroe Islands,1.0,t +14597,,Andorra,1.0,f +5461,,Montserrat,1.0,t +34060,,Svalbard & Jan Mayen Islands,2.0,f +44325,,Lebanon,1.0,t +36282,100%,Zimbabwe,3.0,t +13966,,Ghana,1.0,f +49306,,French Guiana,1.0,f +15169,,,1.0,t +35312,100%,,1.0,f +38550,,Chad,1.0,f +24447,,Croatia,1.0,t +24562,,Lithuania,1.0,f +27886,,Barbados,1.0,f +16099,,Zimbabwe,1.0,f +32235,,Lebanon,1.0,t +17413,100%,Isle of Man,2.0,t +34060,,Svalbard & Jan Mayen Islands,2.0,f +46472,,Bouvet Island (Bouvetoya),1.0,t +41482,,Uzbekistan,1.0,t +16475,,,2.0,t +746,,Kiribati,4.0,f +22333,,Croatia,2.0,t +42771,,Russian Federation,1.0,t +38003,,Senegal,1.0,f +7154,,,1.0,f +28433,,Afghanistan,1.0,t +16622,,Monaco,1.0,f +44174,100%,Guinea,2.0,t +19458,,,1.0,t +21887,100%,Anguilla,1.0,f +12459,,Rwanda,1.0,f +11145,100%,,1.0,f +24000,100%,,1.0,f +30213,0%,United Kingdom,2.0,f +10340,,Ecuador,1.0,t +9800,,,1.0,f +10244,100%,Philippines,10.0,f +21172,,Niue,1.0,t +7355,,Slovenia,1.0,f +15699,100%,Niue,4.0,f +15699,100%,Niue,4.0,f +30554,,France,1.0,f +12963,,,1.0,f +3974,,Fiji,1.0,f +6754,,Niue,1.0,t +8302,,Costa Rica,1.0,f +33997,,Guinea,1.0,f +32947,,Netherlands,1.0,t +22650,100%,Marshall Islands,1.0,f +27297,,Isle of Man,1.0,t +4523,,,1.0,t +8360,,Isle of Man,1.0,t +33315,,Uzbekistan,1.0,t +35146,,Libyan Arab Jamahiriya,1.0,t +30865,67%,Marshall Islands,1.0,t +37630,100%,Tonga,1.0,f +23496,,Cape Verde,1.0,t +4344,,Lithuania,1.0,f +18695,,Kenya,1.0,f +42826,,,1.0,f +24194,,Palestinian Territory,1.0,t +540,,Turkmenistan,1.0,f +19018,,,1.0,t +30213,0%,United Kingdom,2.0,f +26429,50%,,1.0,f +11235,,Netherlands Antilles,1.0,f +5456,,Svalbard & Jan Mayen Islands,1.0,t +42315,,Gambia,1.0,f +31608,,Tanzania,1.0,f +40537,,Faroe Islands,1.0,t +40146,,Faroe Islands,1.0,t +29551,100%,Mauritania,2.0,f +3821,100%,,1.0,f +15931,100%,,4.0,f +8109,,,1.0,t +37356,,Guinea,3.0,f +25790,,,1.0,f +47649,,,1.0,t +39742,97%,,2.0,f +40350,,Mauritania,1.0,t +17918,100%,Mexico,1.0,f +8533,,Bouvet Island (Bouvetoya),1.0,f +23759,100%,,1.0,t +45943,100%,Micronesia,2.0,f +48676,,Monaco,2.0,t +30348,,Nicaragua,2.0,f +41940,,,1.0,t +36896,50%,Turkmenistan,1.0,f +15359,,,2.0,t +23504,,Lithuania,3.0,t +21772,,Saint Helena,1.0,f +26142,60%,Peru,2.0,t +35863,,Afghanistan,3.0,t +47538,90%,Tonga,1.0,f +16034,,Russian Federation,1.0,f +24573,100%,Sao Tome and Principe,1.0,t +1260,,Lebanon,1.0,f +7632,,French Guiana,1.0,f +15444,,Gambia,1.0,f +9030,,Russian Federation,1.0,f +4028,100%,,3.0,t +29647,100%,Peru,1305.0,f +31156,100%,,1.0,t +6765,,Russian Federation,1.0,t +18600,,,2.0,t +5840,,,1.0,t +41464,,Chad,1.0,f +26534,,,1.0,f +6461,,Niue,2.0,f +78,100%,Gambia,1.0,t +38094,,Lebanon,1.0,f +29647,100%,Peru,1305.0,f +30475,92%,Vietnam,40.0,f +30473,,Portugal,1.0,t +45177,,Chile,1.0,t +46977,100%,Nauru,1.0,f +20738,100%,Marshall Islands,1.0,t +29647,100%,Peru,1305.0,f +15301,,Niue,1.0,t +29926,67%,Zimbabwe,7.0,t +26250,100%,Tunisia,5.0,t +43605,,Saint Helena,2.0,t +22991,100%,Korea,4.0,t +17084,,Venezuela,1.0,t +34794,,Chad,2.0,t +2073,89%,,1.0,t +21075,,Uzbekistan,2.0,t +49156,,Guinea,1.0,t +43348,100%,Ecuador,1.0,t +30135,,Reunion,1.0,f +44554,100%,Uzbekistan,2.0,f +43115,100%,Maldives,1.0,t +20925,,,1.0,t +43607,100%,,2.0,f +31457,100%,,2.0,t +44554,100%,Uzbekistan,2.0,f +19240,,Niue,1.0,t +24582,,Netherlands,2.0,t +24395,,Maldives,1.0,f +6463,,Micronesia,1.0,f +38763,,Bouvet Island (Bouvetoya),1.0,f +4872,,Rwanda,1.0,t +30427,,Indonesia,1.0,f +4916,,Isle of Man,1.0,f +1410,100%,,1.0,f +20046,,,1.0,t +39747,,Monaco,1.0,f +28522,100%,Denmark,1.0,t +31559,,Kiribati,1.0,f +42061,,Uzbekistan,1.0,t +5545,,Bosnia and Herzegovina,1.0,t +29647,100%,Peru,1305.0,f +9542,,Costa Rica,1.0,f +27221,,,1.0,f +38393,,Reunion,1.0,f +13210,,Holy See (Vatican City State),1.0,t +44786,,,1.0,t +43080,,,1.0,f +46641,100%,Isle of Man,1.0,f +8481,100%,Rwanda,1.0,f +340,,Ghana,3.0,t +28537,,,1.0,f +17687,,,1.0,f +22602,100%,Ukraine,2.0,f +14347,,Chile,2.0,t +19088,,Ecuador,1.0,t +29647,100%,Peru,1305.0,f +43321,100%,France,40.0,f +12582,,,1.0,f +7949,,Guinea,1.0,f +21398,,Russian Federation,2.0,t +48676,,Monaco,2.0,t +29647,100%,Peru,1305.0,f +46555,,Marshall Islands,1.0,f +14503,80%,Marshall Islands,1.0,t +12904,,,2.0,f +29647,100%,Peru,1305.0,f +10860,,Uzbekistan,1.0,t +8574,100%,Niue,2.0,f +2389,,Bouvet Island (Bouvetoya),1.0,t +8353,,Montserrat,1.0,f +38902,,Marshall Islands,1.0,f +15931,100%,,4.0,f +23325,100%,Russian Federation,2.0,t +3206,,,1.0,t +24035,,Micronesia,1.0,f +16104,50%,,1.0,f +28267,,Gambia,1.0,t +28283,90%,Ecuador,1.0,t +20818,100%,Lithuania,2.0,f +47702,,,1.0,t +39677,100%,,1.0,t +1561,,Guinea,1.0,f +21555,,Niue,1.0,t +32197,,,1.0,t +11694,,Montserrat,1.0,f +20389,,Guinea,1.0,f +9976,100%,Russian Federation,2.0,f +27051,,,1.0,f +21135,,Afghanistan,1.0,t +32054,,,1.0,t +45661,,,1.0,t +5181,100%,Nicaragua,2.0,f +25639,,Lebanon,1.0,f +43391,50%,,2.0,f +43391,50%,,2.0,f +5181,100%,Nicaragua,2.0,f +27305,,Finland,1.0,f +7088,,Maldives,1.0,t +8049,,Rwanda,2.0,t +363,,Niue,1.0,f +5591,99%,Indonesia,16.0,t +5862,,,1.0,f +41114,,Jersey,1.0,t +5591,99%,Indonesia,16.0,t +42510,100%,,1.0,t +43043,,Chad,1.0,f +11278,100%,Chile,1.0,f +14706,,Somalia,1.0,f +34793,100%,,5.0,t +27457,,Svalbard & Jan Mayen Islands,1.0,f +30409,100%,,3.0,t +5614,,,1.0,t +49536,100%,,2.0,t +5448,,Bosnia and Herzegovina,2.0,t +41680,,Kiribati,1.0,f +36453,0%,Kiribati,1.0,f +5448,,Bosnia and Herzegovina,2.0,t +10137,,,2.0,f +28707,100%,Micronesia,2.0,t +10585,100%,Niue,1.0,t +8694,100%,Togo,2.0,f +17470,100%,Denmark,7.0,t +83,100%,,1.0,f +30892,100%,Lebanon,1.0,f +29872,,Gibraltar,2.0,t +34586,75%,,1.0,t +9132,,Isle of Man,1.0,f +38069,,Chile,1.0,t +25396,100%,Montserrat,2.0,f +9306,,Mauritania,1.0,f +30267,,Guernsey,1.0,f +13582,,Guinea,2.0,f +21045,100%,French Guiana,2.0,f +23034,99%,Monaco,54.0,f +45691,,Russian Federation,1.0,t +31805,99%,Mauritania,20.0,f +46730,100%,,1.0,f +44673,,Marshall Islands,1.0,f +16923,,,1.0,f +50000,,Uzbekistan,1.0,f +12399,,Costa Rica,2.0,f +29647,100%,Peru,1305.0,f +3175,100%,Gibraltar,2.0,t +19594,,,1.0,f +29647,100%,Peru,1305.0,f +17850,0%,Uganda,5.0,f +25033,,,1.0,f +47604,95%,Uzbekistan,4.0,t +21706,100%,,1.0,t +17850,0%,Uganda,5.0,f +17850,0%,Uganda,5.0,f +29629,,,1.0,t +17850,0%,Uganda,5.0,f +17850,0%,Uganda,5.0,f +40159,,,1.0,t +4682,100%,Vanuatu,5.0,f +21880,,Gambia,1.0,f +9755,100%,Micronesia,1.0,f +31493,100%,Fiji,2.0,f +42659,,Russian Federation,1.0,f +48057,,Niger,1.0,f +13196,,Isle of Man,1.0,t +12840,100%,Wallis and Futuna,1.0,t +20259,,El Salvador,1.0,f +23504,,Lithuania,3.0,t +1148,,Lebanon,1.0,f +45444,,Croatia,1.0,t +14219,,,1.0,t +34881,100%,China,6.0,f +46117,,Mauritania,1.0,f +19006,,Guinea,1.0,f +19544,100%,Korea,1.0,t +45719,,,1.0,f +23752,,Canada,1.0,f +7713,,Lebanon,1.0,f +11188,100%,Uzbekistan,2.0,t +40474,74%,Russian Federation,3.0,f +22032,,Maldives,1.0,f +16255,,,1.0,t +28750,100%,Cuba,2.0,t +40522,100%,Gambia,2.0,f +34579,,United Kingdom,1.0,t +25656,,Russian Federation,1.0,f +39464,,Gambia,1.0,t +24614,,Rwanda,1.0,f +22466,,Wallis and Futuna,1.0,f +30624,,Svalbard & Jan Mayen Islands,1.0,f +6461,,Niue,2.0,f +19102,,,1.0,f +13276,90%,United Kingdom,5.0,t +41191,,,1.0,f +39227,,Uzbekistan,2.0,f +47181,93%,Kiribati,5.0,t +30292,67%,Anguilla,6.0,f +30292,67%,Anguilla,6.0,f +41607,100%,Liechtenstein,3.0,f +4885,,Cuba,1.0,t +7695,,Venezuela,1.0,t +12904,,,2.0,f +27541,,Guernsey,1.0,t +47181,93%,Kiribati,5.0,t +19984,100%,Ecuador,14.0,t +32208,,Guinea,1.0,f +33467,,Brazil,1.0,t +8049,,Rwanda,2.0,t +37547,,Russian Federation,1.0,t +45144,100%,,1.0,f +15845,100%,Jersey,1.0,f +16035,,Niue,1.0,t +23574,,Isle of Man,1.0,t +39090,100%,Jersey,1.0,t +20805,,Nauru,2.0,t +35841,100%,Saint Helena,4.0,f +32836,100%,Isle of Man,1.0,f +5212,,Marshall Islands,1.0,f +8976,97%,Guinea,3.0,f +374,75%,Brazil,2.0,t +28839,,Anguilla,1.0,t +37871,,Chile,1.0,t +47181,93%,Kiribati,5.0,t +47181,93%,Kiribati,5.0,t +47181,93%,Kiribati,5.0,t +8263,100%,,1.0,f +45459,100%,Nicaragua,2.0,t +25845,,,1.0,f +40886,0%,Turks and Caicos Islands,3.0,f +18802,,Tunisia,2.0,t +44504,100%,,3.0,f +41229,100%,Zimbabwe,2.0,t +15726,,Cape Verde,1.0,f +3307,100%,,2.0,t +44263,,El Salvador,1.0,f +6917,,French Guiana,1.0,t +26062,,Gibraltar,1.0,f +2884,,,1.0,f +28162,,Ecuador,1.0,f +34927,100%,Niue,2.0,f +27186,100%,Zimbabwe,7.0,t +35611,,,1.0,f +47465,,Uganda,1.0,f +30617,,,1.0,f +7102,100%,Vanuatu,4.0,t +19850,100%,,1.0,t +21515,,Estonia,1.0,f +41460,,Kiribati,1.0,f +33849,100%,Marshall Islands,3.0,t +59,,,1.0,f +1342,,Bosnia and Herzegovina,1.0,t +48080,100%,,1.0,f +2225,,Micronesia,1.0,f +40193,,,1.0,t +12678,,Niger,1.0,f +7741,,Bosnia and Herzegovina,1.0,t +32688,,Isle of Man,1.0,f +15446,,Zimbabwe,1.0,f +38519,,,1.0,t +5301,70%,Gambia,1.0,f +30543,100%,Croatia,2.0,t +20782,,Cocos (Keeling) Islands,2.0,f +25957,,Lebanon,1.0,f +27846,,Puerto Rico,1.0,f +12012,,French Guiana,1.0,t +29052,100%,Kiribati,1.0,f +8844,,Marshall Islands,1.0,f +37758,,,1.0,f +18097,,Afghanistan,1.0,t +27899,,France,1.0,f +30700,100%,Russian Federation,2.0,f +13044,100%,Russian Federation,1.0,t +42149,,,1.0,t +19773,100%,,2.0,t +16262,100%,Guernsey,3.0,t +16938,,,1.0,t +47644,,French Guiana,1.0,t +20493,,,1.0,f +22485,,Uzbekistan,1.0,t +3915,100%,Ghana,2.0,t +6844,,Zimbabwe,1.0,f +14998,,Cocos (Keeling) Islands,1.0,t +27236,,Bosnia and Herzegovina,1.0,f +17139,,Tanzania,1.0,t +20292,71%,,2.0,t +40476,,Maldives,2.0,t +15645,,Peru,1.0,f +37984,,Uzbekistan,2.0,f +25112,,Togo,4.0,f +9229,,France,1.0,t +15040,,,1.0,f +17470,100%,Denmark,7.0,t +36053,,Maldives,1.0,t +10731,,,1.0,f +33006,100%,Niue,1.0,t +1811,100%,,3.0,f +26143,100%,,1.0,f +12412,,Sao Tome and Principe,1.0,f +4123,,Andorra,2.0,f +30177,100%,Niue,2.0,t +45367,,Niue,2.0,f +40886,0%,Turks and Caicos Islands,3.0,f +10320,92%,Tonga,10.0,f +4097,100%,Croatia,7.0,f +6538,100%,Sao Tome and Principe,1.0,t +43470,,Somalia,1.0,f +36559,,Marshall Islands,1.0,t +43683,,Finland,1.0,f +41523,,,1.0,t +11567,100%,Niger,31.0,t +43863,,Isle of Man,1.0,t +5907,,Wallis and Futuna,1.0,f +37683,,,1.0,f +27515,100%,Niue,1.0,t +44681,100%,Chad,1.0,f +40110,,Somalia,1.0,f +3645,,Togo,1.0,f +28659,,Brunei Darussalam,1.0,t +25476,100%,Fiji,11.0,f +39599,,Afghanistan,1.0,f +44391,100%,Kiribati,2.0,f +25274,,Gambia,1.0,f +20778,100%,Ecuador,1.0,t +30982,,Chad,3.0,f +554,,,1.0,f +5460,,Russian Federation,1.0,t +497,,Denmark,2.0,t +43024,,Croatia,1.0,t +11601,,,1.0,f +20235,,Jersey,1.0,t +14937,100%,,2.0,f +15400,100%,Micronesia,1.0,t +14937,100%,,2.0,f +24714,,Cape Verde,1.0,f +27159,,Isle of Man,1.0,t +12715,100%,Estonia,29.0,f +35889,,,1.0,t +41004,,Malta,1.0,f +45670,70%,Sao Tome and Principe,1.0,t +8164,,Cape Verde,1.0,f +38495,100%,,1.0,f +46037,,Grenada,1.0,t +17470,100%,Denmark,7.0,t +18800,,Isle of Man,1.0,f +20714,100%,Isle of Man,1.0,t +25884,88%,United Kingdom,1.0,f +7535,,Faroe Islands,1.0,t +4088,,,1.0,f +18492,,Sao Tome and Principe,1.0,t +44433,,,1.0,t +4126,,Uzbekistan,1.0,t +42733,88%,,4.0,t +1236,100%,Nauru,1.0,t +45753,100%,Tunisia,1.0,t +22151,,,1.0,f +33696,,Lebanon,2.0,t +6088,100%,,14.0,t +40939,100%,Maldives,1.0,t +26746,,China,1.0,t +12715,100%,Estonia,29.0,f +14543,,Isle of Man,1.0,t +40089,,Puerto Rico,8.0,f +7828,,Rwanda,1.0,f +30292,67%,Anguilla,6.0,f +2808,,Lebanon,1.0,f +45138,79%,Barbados,14.0,f +24538,,,1.0,f +17567,,,1.0,f +30292,67%,Anguilla,6.0,f +22025,,Guernsey,1.0,f +26892,100%,Togo,12.0,t +6933,,Malta,1.0,f +39460,100%,Malta,1.0,f +41730,,Puerto Rico,1.0,f +26892,100%,Togo,12.0,t +26892,100%,Togo,12.0,t +22049,,Djibouti,1.0,f +39126,100%,Guinea,9.0,f +26892,100%,Togo,12.0,t +49109,,Russian Federation,1.0,t +43691,,Anguilla,1.0,t +27506,100%,,1.0,t +46432,,Niue,1.0,f +6819,,Russian Federation,2.0,f +35350,,,1.0,f +23996,,,1.0,t +21622,,,1.0,t +1545,,,1.0,f +15970,,Mauritania,1.0,f +39357,100%,,1.0,f +48909,,,1.0,f +50044,,Uzbekistan,1.0,f +35602,,,1.0,f +30083,0%,Barbados,1.0,t +38812,,Micronesia,1.0,t +17438,,Turkmenistan,1.0,t +16866,,,1.0,f +32789,,Gambia,2.0,t +40240,90%,Niue,2.0,t +30225,,San Marino,1.0,f +7786,,,1.0,f +497,,Denmark,2.0,t +43199,,Svalbard & Jan Mayen Islands,2.0,t +7195,,,1.0,f +29375,,Jersey,1.0,t +14047,100%,Philippines,4.0,f +8801,70%,,1.0,t +6325,100%,Niger,1.0,f +11709,,Micronesia,1.0,f +28026,,Niue,1.0,t +34793,100%,,5.0,t +10029,,Niue,1.0,t +30044,,Eritrea,3.0,f +24072,,Bouvet Island (Bouvetoya),1.0,f +2516,67%,Lebanon,1.0,t +8294,0%,Zimbabwe,1.0,f +28618,100%,Malta,3.0,t +3543,100%,Slovakia (Slovak Republic),4.0,t +17389,,Gibraltar,1.0,f +16797,,Bosnia and Herzegovina,1.0,f +25334,,,1.0,t +47797,,Lebanon,1.0,t +48060,,Ecuador,1.0,f +12489,,Rwanda,1.0,f +39510,,Guinea,1.0,f +13403,96%,Maldives,21.0,t +24582,,Netherlands,2.0,t +12929,,Russian Federation,1.0,t +19098,100%,Turks and Caicos Islands,1.0,t +15925,100%,Niger,1.0,t +31656,,Nicaragua,1.0,f +24896,100%,Algeria,50.0,t +43445,,Kiribati,1.0,f +44315,,Mauritania,1.0,t +26371,100%,French Guiana,1.0,f +29647,100%,Peru,1305.0,f +27848,,,1.0,f +14459,40%,Ukraine,1.0,f +41559,100%,Montserrat,4.0,t +37466,100%,Marshall Islands,1.0,t +25462,100%,Brazil,2.0,t +26178,75%,United Kingdom,1.0,t +8529,100%,Uzbekistan,1.0,t +31594,100%,Philippines,19.0,t +13605,,Nicaragua,1.0,f +26722,,Marshall Islands,2.0,t +26722,,Marshall Islands,2.0,t +31802,100%,New Zealand,5.0,t +34793,100%,,5.0,t +21427,100%,United Kingdom,8.0,t +37407,,Zimbabwe,1.0,f +47495,100%,Gibraltar,2.0,t +12715,100%,Estonia,29.0,f +38203,100%,Guinea,2.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +29411,100%,Svalbard & Jan Mayen Islands,2.0,f +16510,,Venezuela,1.0,t +15092,,Bouvet Island (Bouvetoya),1.0,f +34793,100%,,5.0,t +36465,,,1.0,t +20012,,Costa Rica,2.0,f +40332,,Tonga,1.0,f +18514,,,1.0,f +42001,,Malta,2.0,t +31366,,Saint Helena,1.0,t +34688,100%,Gambia,2.0,t +46526,100%,,2.0,t +36481,95%,Kiribati,7.0,t +31551,97%,Kiribati,8.0,t +43605,,Saint Helena,2.0,t +19672,,Kenya,1.0,t +19418,100%,Costa Rica,1.0,t +27823,100%,,1.0,t +43588,100%,Fiji,7.0,f +5385,,Cape Verde,1.0,t +31108,,Svalbard & Jan Mayen Islands,2.0,t +35238,,Grenada,1.0,t +3800,,Tonga,1.0,f +44922,100%,Jersey,2.0,f +14610,100%,Niue,2.0,t +32581,,Philippines,1.0,t +25534,90%,Indonesia,5.0,t +33832,0%,Denmark,7.0,t +31551,97%,Kiribati,8.0,t +36481,95%,Kiribati,7.0,t +36481,95%,Kiribati,7.0,t +36481,95%,Kiribati,7.0,t +48183,,Bahrain,1.0,t +32161,100%,Nicaragua,5.0,t +48844,,,1.0,t +29307,,Guinea,1.0,f +15481,,Guinea,1.0,f +26265,,Venezuela,1.0,t +8523,100%,Sao Tome and Principe,3.0,t +6578,,,1.0,t +2503,,,1.0,f +10839,100%,Malta,1.0,t +47377,,Chad,2.0,t +19168,100%,Guinea,1.0,t +5504,,Cape Verde,2.0,t +19367,,Uzbekistan,1.0,f +12317,100%,,1.0,f +20459,,Russian Federation,1.0,t +8159,100%,Micronesia,3.0,f +25365,,,1.0,f +18849,,Isle of Man,1.0,t +39561,100%,,2.0,t +28682,,Chile,1.0,f +26533,,Kenya,1.0,t +44307,,Wallis and Futuna,1.0,f +31098,,,1.0,t +17990,100%,,2.0,f +46262,100%,Kenya,1.0,t +4271,,Turks and Caicos Islands,1.0,f +30259,,,1.0,t +515,100%,Mauritania,1.0,f +20759,100%,,1.0,f +36250,,Tonga,1.0,t +45530,,Pakistan,1.0,t +19254,,,1.0,t +42671,,Niue,1.0,f +36402,,Lebanon,2.0,f +48372,100%,Barbados,12.0,t +29511,,Indonesia,1.0,t +23252,,,1.0,f +9854,,Niger,1.0,f +19407,,Maldives,1.0,f +46594,100%,Vietnam,1.0,t +6854,,Estonia,1.0,f +14637,100%,,1.0,f +38616,,Zimbabwe,1.0,f +13226,,,1.0,f +11807,,Indonesia,2.0,f +32337,,Cocos (Keeling) Islands,1.0,f +24635,,Gambia,1.0,f +43199,,Svalbard & Jan Mayen Islands,2.0,t +26462,,Gambia,1.0,t +17747,,Niue,1.0,t +1699,100%,United Kingdom,1.0,f +38810,100%,Micronesia,3.0,f +2339,100%,Marshall Islands,3.0,t +2490,,Niue,1.0,t +7455,,Chad,1.0,t +26567,70%,Guinea,2.0,f +44217,100%,,1.0,f +38437,,Rwanda,1.0,t +9952,,,1.0,f +8879,,Niue,1.0,f +36658,94%,China,20.0,t +49215,,,1.0,f +8565,0%,Russian Federation,2.0,t +11696,,Gibraltar,1.0,f +21639,,Korea,1.0,t +12621,100%,,1.0,t +40413,100%,Kiribati,2.0,f +19490,100%,Gambia,1.0,t +36621,,France,1.0,f +6545,,,1.0,t +30862,,Tunisia,2.0,t +5555,100%,Denmark,11.0,t +16943,,French Guiana,2.0,t +14973,100%,Chad,1.0,t +20404,,United Kingdom,1.0,f +36643,98%,Maldives,17.0,f +7558,,Russian Federation,1.0,t +38431,,Russian Federation,1.0,t +28363,100%,,1.0,t +22549,100%,Indonesia,2.0,t +49730,100%,Zimbabwe,1.0,t +34168,83%,Indonesia,3.0,f +11528,,Montserrat,1.0,f +13493,,Tonga,2.0,t +34845,,Russian Federation,1.0,t +36658,94%,China,20.0,t +9462,,Somalia,1.0,t +4579,100%,Marshall Islands,2.0,f +17716,,Vanuatu,2.0,t +39426,,Somalia,1.0,t +34258,,Vietnam,7.0,t +13255,100%,,1.0,f +6399,95%,Marshall Islands,5.0,f +31638,100%,Sao Tome and Principe,1.0,t +27868,100%,,2.0,t +28035,,Croatia,1.0,t +33814,,Faroe Islands,9.0,f +47099,,,1.0,t +47217,,Micronesia,1.0,t +36492,,,1.0,f +38810,100%,Micronesia,3.0,f +36658,94%,China,20.0,t +36658,94%,China,20.0,t +6209,80%,Nicaragua,9.0,t +36658,94%,China,20.0,t +36658,94%,China,20.0,t +21213,94%,Kiribati,5.0,t +36658,94%,China,20.0,t +36658,94%,China,20.0,t +746,,Kiribati,4.0,f +25408,,Russian Federation,1.0,t +14364,100%,Nauru,9.0,f +8898,100%,Ecuador,2.0,t +13003,,Montserrat,1.0,f +45694,,Guinea,1.0,f +29031,,Russian Federation,1.0,t +34402,79%,Reunion,28.0,f +30033,,Niue,1.0,t +21924,,French Guiana,1.0,t +38231,100%,Gibraltar,1.0,t +16917,100%,Guinea,2.0,t +25286,,Netherlands,1.0,f +18970,0%,,1.0,f +36343,,Uzbekistan,1.0,f +26599,,Lebanon,2.0,t +25874,100%,Malta,1.0,t +2619,100%,Uzbekistan,1.0,f +10562,100%,Zimbabwe,3.0,f +42139,,,1.0,t +6994,100%,France,2.0,t +14364,100%,Nauru,9.0,f +36591,,Indonesia,2.0,t +17678,0%,Isle of Man,1.0,f +49775,,Svalbard & Jan Mayen Islands,1.0,f +30982,,Chad,3.0,f +37035,,,1.0,f +22691,0%,Marshall Islands,2.0,t +24721,100%,Lebanon,1.0,f +50069,,Marshall Islands,1.0,t +14703,89%,,1.0,f +44323,90%,Ecuador,3.0,t +2189,,Maldives,1.0,t +37883,95%,United Kingdom,3.0,f +36271,,Sao Tome and Principe,2.0,t +4370,,,1.0,f +30265,,United Kingdom,2.0,t +47058,,,4.0,f +7270,100%,Anguilla,1.0,t +12542,98%,Mauritania,19.0,t +13242,,Bouvet Island (Bouvetoya),1.0,t +14441,,Micronesia,1.0,t +527,92%,,1.0,t +9217,,Monaco,1.0,t +47268,,Kiribati,1.0,t +17168,,,1.0,f +31789,,,1.0,f +944,,Vietnam,7.0,t +15899,100%,Slovenia,2.0,f +16160,,,4.0,t +15609,,,1.0,f +41184,,,1.0,f +29202,,Kiribati,1.0,t +26549,100%,Malta,3.0,t +10760,,Ghana,1.0,f +32908,,Brazil,1.0,f +1793,,,1.0,f +10631,100%,,1.0,t +22828,100%,Lebanon,2.0,t +14816,,Niger,1.0,t +8469,100%,Peru,1.0,f +41905,,Svalbard & Jan Mayen Islands,1.0,t +35239,,Marshall Islands,1.0,t +28926,,Gambia,1.0,t +33333,,Bouvet Island (Bouvetoya),1.0,f +48266,100%,Uganda,3.0,t +44294,,,1.0,t +39418,,Niue,1.0,t +19919,75%,,1.0,f +33849,100%,Marshall Islands,3.0,t +35081,,Canada,1.0,f +6797,100%,Gibraltar,2.0,f +31408,90%,,1.0,t +22302,90%,Monaco,2.0,t +31355,,Russian Federation,1.0,f +21850,100%,Gambia,2.0,t +49277,,Cocos (Keeling) Islands,1.0,f +6019,100%,Grenada,2.0,f +10747,100%,Kiribati,2.0,t +35683,,Isle of Man,2.0,f +23959,,Tunisia,1.0,t +36382,,Uzbekistan,1.0,t +30533,,,1.0,t +43265,100%,Anguilla,3.0,f +40240,90%,Niue,2.0,t +25583,,Jersey,1.0,t +17123,100%,,2.0,f +44117,,Cuba,1.0,t +46530,90%,Malawi,1.0,t +19943,63%,Isle of Man,34.0,f +43406,100%,Nicaragua,1.0,t +33316,,Kiribati,1.0,f +4446,100%,Uganda,58.0,f +48247,,Turks and Caicos Islands,1.0,f +4446,100%,Uganda,58.0,f +23901,,Bouvet Island (Bouvetoya),1.0,f +49598,,Switzerland,4.0,t +40416,100%,Turks and Caicos Islands,2.0,t +593,,,1.0,f +26002,,Turks and Caicos Islands,1.0,f +49013,,France,1.0,t +29977,100%,Uzbekistan,1.0,f +24797,,,1.0,t +45542,,Slovakia (Slovak Republic),2.0,f +48872,,,3.0,t +42679,,Cocos (Keeling) Islands,2.0,t +2616,100%,,2.0,t +11464,100%,Papua New Guinea,11.0,f +16003,100%,,1.0,f +45542,,Slovakia (Slovak Republic),2.0,f +26853,,Russian Federation,1.0,t +33727,,,1.0,t +27179,100%,,1.0,f +25182,100%,,2.0,t +45352,,,1.0,f +3599,,Vanuatu,2.0,t +30696,,,1.0,t +35298,90%,Indonesia,8.0,t +8860,90%,Micronesia,3.0,t +8860,90%,Micronesia,3.0,t +33155,,Anguilla,1.0,f +20701,,Cook Islands,3.0,f +7102,100%,Vanuatu,4.0,t +38682,100%,Gambia,1.0,f +28828,100%,Isle of Man,198.0,t +22771,,United Kingdom,2.0,t +30863,100%,,1.0,t +41704,100%,Zimbabwe,1.0,t +48932,100%,Monaco,5.0,t +20233,100%,,1.0,t +25908,100%,Netherlands,1.0,t +17073,,Andorra,1.0,t +7016,0%,Papua New Guinea,1.0,f +33894,100%,,1.0,t +37193,,China,1.0,f +26146,,,2.0,t +17857,100%,Denmark,2.0,f +25810,,,1.0,t +25229,100%,Niger,2.0,f +37477,,Costa Rica,1.0,f +37886,,Reunion,1.0,t +6370,100%,Isle of Man,1.0,t +14209,100%,Malawi,3.0,f +48921,,Sao Tome and Principe,1.0,t +45703,0%,Faroe Islands,1.0,t +38477,,Lebanon,1.0,f +18529,100%,,1.0,f +8430,,Peru,7.0,t +26091,,Zimbabwe,1.0,f +27368,,,1.0,t +7048,,Rwanda,1.0,f +39946,,Niue,1.0,f +32385,,Guinea,1.0,t +27410,,Nicaragua,1.0,f +20690,0%,Guinea,1.0,t +29954,100%,Zimbabwe,1.0,t +6681,,Philippines,2.0,t +42484,,,1.0,t +49648,100%,Niue,2.0,f +8974,,,1.0,f +23027,,Anguilla,1.0,f +4880,100%,,1.0,f +983,100%,Marshall Islands,1.0,f +33712,,Lebanon,1.0,f +31990,100%,,2.0,t +44209,100%,,1.0,f +26723,,,1.0,t +14307,,,1.0,t +2576,,,1.0,f +42818,89%,Anguilla,1.0,f +31022,,Sao Tome and Principe,1.0,t +38444,100%,Nicaragua,2.0,t +32502,0%,Lebanon,1.0,t +11464,100%,Papua New Guinea,11.0,f +48256,100%,Tunisia,1.0,t +6426,,Ghana,1.0,f +40476,,Maldives,2.0,t +39121,100%,,1.0,f +33424,,Togo,1.0,f +24201,,France,1.0,f +31802,100%,New Zealand,5.0,t +27468,,Estonia,1.0,f +24353,100%,Isle of Man,1.0,f +9198,,French Polynesia,1.0,t +10655,,French Guiana,1.0,f +32722,,,1.0,t +45140,,Kiribati,1.0,t +22896,,Reunion,2.0,t +1055,,Mauritania,1.0,f +30258,,Kenya,1.0,t +10847,,Sao Tome and Principe,1.0,t +37011,,Svalbard & Jan Mayen Islands,2.0,f +775,,Togo,1.0,f +3171,,Maldives,1.0,f +36676,,Marshall Islands,1.0,t +46791,,Rwanda,1.0,f +18907,,Isle of Man,1.0,f +11491,100%,Kiribati,1.0,f +10343,,Bouvet Island (Bouvetoya),2.0,f +30475,92%,Vietnam,40.0,f +14992,100%,Tonga,1.0,t +50059,100%,Barbados,7.0,f +24520,,,1.0,t +17648,100%,Niue,1.0,t +28843,,,1.0,f +6735,,Isle of Man,1.0,t +27830,100%,Tunisia,1.0,t +24014,100%,Christmas Island,1.0,f +3983,,Guinea,1.0,f +1103,100%,Zimbabwe,1.0,t +24708,,Niue,1.0,t +23069,,Russian Federation,1.0,t +4223,100%,,2.0,t +27817,,,1.0,f +48476,,Cape Verde,1.0,f +9523,100%,Vietnam,2.0,t +29883,90%,Isle of Man,26.0,t +15388,,Micronesia,1.0,f +29883,90%,Isle of Man,26.0,t +29883,90%,Isle of Man,26.0,t +12987,,Lebanon,1.0,f +29883,90%,Isle of Man,26.0,t +29668,100%,Nicaragua,4.0,t +27605,90%,Guinea,1.0,f +48011,,,1.0,f +29666,100%,Anguilla,2.0,f +38746,99%,Vietnam,13.0,f +48150,100%,,2.0,t +32069,,Zimbabwe,1.0,t +49488,100%,,1.0,t +42627,,,1.0,f +1852,100%,Chad,2.0,t +32608,,French Guiana,1.0,f +41050,,Venezuela,1.0,t +10087,,Marshall Islands,1.0,t +14723,,Puerto Rico,1.0,t +8307,100%,Monaco,1.0,f +29883,90%,Isle of Man,26.0,t +19481,,,1.0,f +23565,100%,Slovakia (Slovak Republic),6.0,t +7615,,Niue,1.0,t +38746,99%,Vietnam,13.0,f +1682,100%,,1.0,t +5155,100%,Monaco,2.0,t +46139,0%,Gambia,1.0,t +29883,90%,Isle of Man,26.0,t +30062,,,1.0,f +35061,,,1.0,f +29883,90%,Isle of Man,26.0,t +34402,79%,Reunion,28.0,f +33609,,,1.0,f +13346,100%,,2.0,t +7242,100%,Niue,1.0,t +29883,90%,Isle of Man,26.0,t +36967,100%,Barbados,7.0,t +38191,100%,Monaco,2.0,f +25559,,Jersey,1.0,f +45732,,,1.0,t +43198,14%,,2.0,t +6397,,Niue,1.0,t +8610,100%,Jersey,1.0,f +22348,,Russian Federation,2.0,t +13268,,Gambia,1.0,t +48335,,,1.0,f +34286,,,1.0,f +1734,,,1.0,f +29130,100%,Kenya,2.0,t +27972,94%,Brazil,27.0,f +48758,100%,Ecuador,3.0,t +49577,100%,Isle of Man,1.0,f +157,,,1.0,t +30475,92%,Vietnam,40.0,f +15417,,Jersey,1.0,t +32666,,Russian Federation,1.0,t +24456,,Isle of Man,1.0,t +29676,,France,1.0,f +46034,,,3.0,f +40297,,French Guiana,1.0,f +15876,100%,Vanuatu,1.0,t +42404,100%,Nicaragua,1.0,t +7408,56%,,2.0,t +590,,Guinea,2.0,t +4727,0%,,1.0,f +1262,,Estonia,1.0,t +9225,,Sao Tome and Principe,2.0,t +7118,,Monaco,1.0,t +31854,100%,,2.0,f +44059,,Greenland,1.0,t +48805,100%,,1.0,f +20599,,,1.0,t +21159,,Niue,1.0,f +39379,100%,Guinea,1.0,f +4559,,Uruguay,1.0,t +48502,100%,Nicaragua,11.0,t +15680,,Micronesia,1.0,f +20543,,Marshall Islands,1.0,f +12907,100%,Marshall Islands,1.0,f +13173,,Jersey,1.0,t +29500,,Nauru,1.0,t +14225,,Kenya,1.0,t +11763,,Zimbabwe,1.0,t +42552,,Uganda,1.0,f +27428,100%,Uzbekistan,2.0,f +38695,100%,United Kingdom,4.0,t +39679,91%,Kiribati,4.0,t +39748,,Bosnia and Herzegovina,3.0,t +33589,100%,Cuba,1.0,f +30102,100%,Togo,2.0,t +18940,,,1.0,f +19332,,Togo,1.0,t +46438,,Svalbard & Jan Mayen Islands,1.0,f +40472,,,1.0,f +36067,,Micronesia,1.0,f +22933,100%,Zimbabwe,4.0,f +48838,,Niue,1.0,f +24156,100%,Maldives,1.0,f +43441,100%,,1.0,t +41715,,Tonga,1.0,f +46374,,Monaco,2.0,t +37908,100%,Niue,1.0,t +17481,,Anguilla,3.0,t +29781,,Turkmenistan,2.0,t +18807,67%,,3.0,t +48002,,Tonga,2.0,t +16481,,,1.0,t +39445,,,1.0,f +34152,100%,Russian Federation,1.0,t +16029,100%,Faroe Islands,2.0,t +47510,,Russian Federation,1.0,f +36798,80%,,1.0,t +6157,,Indonesia,1.0,t +33544,,Sao Tome and Principe,1.0,t +35861,50%,Switzerland,1.0,f +28691,83%,Tonga,1.0,t +45043,100%,Chad,10.0,f +34906,100%,Uzbekistan,1.0,t +7887,,Micronesia,1.0,f +3127,100%,Rwanda,36.0,f +10072,,Zimbabwe,1.0,f +19152,,Croatia,1.0,f +36201,100%,Croatia,1.0,t +31083,100%,,3.0,f +46798,,Micronesia,2.0,f +11094,,Marshall Islands,1.0,t +12782,,,1.0,f +1868,100%,China,4.0,t +25676,,Faroe Islands,2.0,f +5825,100%,French Guiana,1.0,f +4895,,United Kingdom,1.0,t +25676,,Faroe Islands,2.0,f +12641,90%,Micronesia,2.0,t +18921,,,1.0,t +13153,100%,Zimbabwe,1.0,f +20782,,Cocos (Keeling) Islands,2.0,f +34346,,,1.0,t +26902,100%,Netherlands,2.0,t +19197,,Guernsey,1.0,f +3087,100%,,1.0,f +16887,100%,China,11.0,f +1010,,,1.0,f +34988,100%,,1.0,f +30475,92%,Vietnam,40.0,f +33444,,Reunion,1.0,f +26892,100%,Togo,12.0,t +1692,100%,Jersey,15.0,t +26127,,Cook Islands,1.0,t +42106,,Somalia,1.0,t +20334,99%,Niger,171.0,t +7900,,Somalia,1.0,t +14531,100%,Tonga,3.0,f +46691,90%,Uzbekistan,38.0,f +27405,,Niue,1.0,f +11755,,Algeria,2.0,f +48683,100%,Uzbekistan,2.0,t +47062,,Isle of Man,1.0,f +27055,,Lebanon,1.0,t +37446,,Faroe Islands,1.0,t +8860,90%,Micronesia,3.0,t +36323,,Guinea,2.0,t +49433,,,1.0,t +18989,,China,4.0,f +39608,,United Kingdom,1.0,t +42119,100%,Djibouti,2.0,t +39164,100%,Cocos (Keeling) Islands,3.0,f +29004,,Togo,1.0,f +20997,100%,,1.0,t +13665,,Ukraine,1.0,f +13493,,Tonga,2.0,t +23504,,Lithuania,3.0,t +8711,50%,,1.0,f +23582,98%,Montserrat,17.0,f +23582,98%,Montserrat,17.0,f +22449,,,1.0,f +39289,,,1.0,f +23582,98%,Montserrat,17.0,f +32697,,Lithuania,1.0,t +15034,100%,Guinea,1.0,t +32412,,Mauritania,1.0,f +7497,100%,United Kingdom,1.0,t +7977,,,1.0,f +6576,100%,Gibraltar,3.0,t +7450,,Turkmenistan,1.0,t +3034,,,1.0,f +41474,,Turkmenistan,2.0,t +45926,100%,,2.0,f +41585,,,1.0,f +11982,67%,Niue,1.0,f +2562,100%,Micronesia,2.0,f +37490,100%,,2.0,t +9191,,Chile,3.0,t +38642,,Croatia,2.0,f +28100,100%,Afghanistan,1.0,t +38225,,Gibraltar,1.0,f +41016,,Ecuador,2.0,t +48372,100%,Barbados,12.0,t +30721,0%,United Kingdom,1.0,f +28268,80%,,7.0,t +24302,100%,Cape Verde,6.0,f +30343,,,1.0,t +19144,100%,San Marino,1.0,f +2497,,Nauru,1.0,f +4839,,Sao Tome and Principe,1.0,f +21150,100%,Zimbabwe,1.0,t +37517,,Nicaragua,1.0,t +47852,,Mauritania,1.0,t +4663,,,1.0,f +38892,,Isle of Man,2.0,t +25828,,Russian Federation,1.0,t +4465,100%,Rwanda,1.0,t +22854,100%,Russian Federation,2.0,t +29784,,Gibraltar,1.0,t +24181,,,1.0,f +7880,100%,Russian Federation,1.0,t +47274,100%,Tonga,48.0,f +12922,100%,Costa Rica,1.0,t +8777,67%,,1.0,f +2956,,Svalbard & Jan Mayen Islands,1.0,f +6838,96%,Spain,59.0,t +985,100%,,1.0,t +28373,,Maldives,1.0,t +26084,,Vietnam,4.0,t +29742,,Denmark,2.0,f +16389,,Niue,1.0,t +29882,,French Guiana,1.0,t +26892,100%,Togo,12.0,t +40522,100%,Gambia,2.0,f +24656,100%,Finland,4.0,t +48830,,United Kingdom,1.0,f +36799,,Sao Tome and Principe,1.0,t +29742,,Denmark,2.0,f +46849,100%,Guinea,1.0,f +31462,,Russian Federation,1.0,t +28828,100%,Isle of Man,198.0,t +12274,100%,Lebanon,1.0,f +12875,86%,,3.0,f +17996,,Lebanon,1.0,t +2569,100%,Venezuela,3.0,t +12690,100%,Gambia,4.0,t +5190,,Netherlands,1.0,f +24733,,,1.0,t +16887,100%,China,11.0,f +44494,,Malta,2.0,f +46018,,Russian Federation,1.0,f +19338,,Guernsey,1.0,f +16887,100%,China,11.0,f +18551,,Faroe Islands,1.0,f +45799,,Kiribati,6.0,t +24124,80%,Uzbekistan,2.0,t +33849,100%,Marshall Islands,3.0,t +33529,,,1.0,t +10324,,,1.0,f +747,100%,Gambia,2.0,f +26128,,,1.0,f +11726,100%,Niue,1.0,t +1692,100%,Jersey,15.0,t +24422,100%,Zimbabwe,1.0,t +15318,100%,Croatia,1.0,f +5588,,French Guiana,1.0,t +2257,,Gambia,1.0,f +10653,100%,,1.0,f +10010,90%,,1.0,t +46465,100%,Niue,1.0,t +37250,,Russian Federation,1.0,f +957,100%,Guinea,1.0,t +26464,100%,Kiribati,1.0,t +7267,100%,France,2.0,f +29746,96%,Tonga,5.0,f +20963,,,1.0,f +32111,,,1.0,t +48624,100%,Russian Federation,1.0,t +31083,100%,,3.0,f +44170,,Niue,2.0,t +12856,100%,,1.0,f +35310,100%,,2.0,t +9576,38%,,1.0,f +17481,,Anguilla,3.0,t +30941,93%,Barbados,3.0,f +17481,,Anguilla,3.0,t +7629,100%,Niue,1.0,t +47457,,Lebanon,1.0,f +26727,,Peru,1.0,f +15660,,Uzbekistan,1.0,f +347,,,7.0,t +19844,,Guinea,2.0,t +49138,0%,Denmark,1.0,t +47865,80%,,4.0,t +20299,,Uganda,1.0,f +11516,100%,,1.0,t +19577,83%,Niue,2.0,t +19844,,Guinea,2.0,t +20970,,China,1.0,f +40788,,French Guiana,1.0,f +1284,,Turkmenistan,1.0,f +36449,100%,,1.0,t +14554,,,1.0,t +11328,,,1.0,f +23985,100%,,1.0,t +21723,100%,Niue,2.0,t +6928,,,3.0,t +2860,,,1.0,f +46798,,Micronesia,2.0,f +2731,,French Guiana,1.0,t +10368,,,1.0,f +23040,,Turks and Caicos Islands,1.0,t +29975,,,1.0,f +30366,100%,Holy See (Vatican City State),2.0,t +19457,70%,Monaco,1.0,t +9492,,,1.0,t +17293,100%,Cape Verde,1.0,t +4099,,Uganda,2.0,f +16283,100%,,1.0,t +36377,,Russian Federation,1.0,t +17045,,Vanuatu,1.0,t +13711,,Brazil,1.0,t +15206,100%,Malta,2.0,t +17620,,,1.0,t +33597,,,1.0,f +32423,90%,Turks and Caicos Islands,2.0,t +20387,100%,Malta,12.0,t +11872,,,13.0,f +22719,,Estonia,1.0,f +2882,50%,,1.0,t +46075,,Gambia,1.0,t +40478,83%,,2.0,t +19934,100%,Svalbard & Jan Mayen Islands,2.0,t +42746,78%,Somalia,2.0,t +38115,100%,Uruguay,1.0,t +36703,,Monaco,1.0,t +35776,100%,Isle of Man,1.0,t +27154,100%,Russian Federation,3.0,t +46749,100%,,2.0,f +26070,100%,Holy See (Vatican City State),6.0,t +5851,,Russian Federation,1.0,t +16291,33%,Slovenia,1.0,f +1692,100%,Jersey,15.0,t +18077,100%,Sao Tome and Principe,139.0,f +1332,,,1.0,f +23122,100%,Malta,1.0,t +1692,100%,Jersey,15.0,t +38488,,Malta,1.0,t +34756,100%,Sao Tome and Principe,1.0,t +50074,100%,Montserrat,8.0,f +23870,100%,Brazil,1.0,f +30744,,Lebanon,1.0,t +27921,,Uzbekistan,1.0,f +30475,92%,Vietnam,40.0,f +18212,,,1.0,f +36189,100%,Brazil,2.0,t +27674,,Wallis and Futuna,1.0,t +28828,100%,Isle of Man,198.0,t +29554,,Tonga,1.0,t +12139,,Russian Federation,1.0,f +49256,,,1.0,f +18667,,,1.0,f +249,,Nauru,1.0,f +6837,,Lebanon,1.0,f +10163,,,1.0,f +37104,100%,Bouvet Island (Bouvetoya),1.0,t +42141,,Lebanon,1.0,f +39105,100%,Guernsey,3.0,t +13624,93%,Uzbekistan,2.0,t +36259,,,1.0,t +40996,100%,Kenya,1.0,f +37914,100%,Malta,2.0,f +45734,,Guinea,2.0,f +45214,,Grenada,1.0,f +20797,,Russian Federation,1.0,t +24508,,Mauritania,2.0,f +44934,100%,Philippines,17.0,f +10381,100%,,1.0,t +39264,100%,Senegal,2.0,f +16189,,France,1.0,f +18554,,Niue,1.0,t +5849,,Malta,1.0,t +10473,,Cape Verde,1.0,f +43969,,Nauru,1.0,f +27098,100%,,1.0,f +45294,,Chile,1.0,t +35895,100%,Anguilla,1.0,t +7267,100%,France,2.0,f +9433,100%,Chad,2.0,t +12514,100%,,1.0,t +14780,,Estonia,1.0,t +19531,100%,Holy See (Vatican City State),1.0,t +49137,,,3.0,f +5836,100%,Faroe Islands,3.0,f +39264,100%,Senegal,2.0,f +2871,,Maldives,1.0,f +40243,,Somalia,1.0,t +32979,100%,Ecuador,2.0,t +28686,,Sao Tome and Principe,1.0,t +14740,0%,,1.0,f +49582,,,1.0,t +35072,,,1.0,t +23806,,Indonesia,1.0,f +6275,,,2.0,f +10564,,Niue,1.0,f +20370,100%,Niue,2.0,t +23848,,Zimbabwe,1.0,t +31279,100%,Kiribati,1.0,t +16489,100%,Russian Federation,42.0,t +14517,100%,Gibraltar,2.0,t +41655,100%,,2.0,f +26681,100%,Niue,1.0,f +49254,,Gambia,1.0,f +16302,100%,Kenya,1.0,t +20331,100%,Turks and Caicos Islands,1.0,f +15091,,Denmark,1.0,t +21427,100%,United Kingdom,8.0,t +43846,100%,Tonga,2.0,t +29668,100%,Nicaragua,4.0,t +6104,100%,Uzbekistan,3.0,t +44401,100%,United Kingdom,1.0,t +10158,100%,Ukraine,6.0,t +5982,,Gibraltar,1.0,t +14010,100%,Tonga,1.0,t +45166,100%,Tonga,1.0,f +17630,,Russian Federation,1.0,t +39693,100%,Guinea,3.0,f +49720,,Micronesia,1.0,t +10323,,Sao Tome and Principe,1.0,f +23949,100%,Slovakia (Slovak Republic),6.0,t +18489,,Jersey,1.0,f +18766,,Chad,2.0,t +4953,,Saint Helena,1.0,f +12780,75%,,1.0,f +23378,,Russian Federation,1.0,f +4737,100%,Brunei Darussalam,2.0,f +35398,100%,Isle of Man,1.0,f +44460,,Niue,1.0,t +29647,100%,Peru,1305.0,f +16098,,Russian Federation,1.0,f +25695,,,1.0,t +40820,0%,Guinea,1.0,t +38695,100%,United Kingdom,4.0,t +28266,,Malawi,1.0,t +33730,,Russian Federation,1.0,t +46058,100%,Turkmenistan,3.0,t +3625,90%,Marshall Islands,2.0,t +5436,100%,Kenya,3.0,t +10459,100%,Anguilla,1.0,f +2440,75%,France,1.0,f +27639,100%,,1.0,f +4580,,Uzbekistan,1.0,f +38168,100%,,1.0,t +28029,43%,,1.0,f +130,100%,Russian Federation,1.0,t +12588,100%,Slovenia,3.0,f +41792,,,1.0,f +24479,,Micronesia,1.0,t +14313,100%,Fiji,1.0,f +700,,Guinea,2.0,t +29448,,Mauritania,1.0,t +1405,100%,,1.0,f +38649,100%,Ecuador,3.0,t +16354,100%,Hong Kong,4.0,f +7068,,,1.0,f +38649,100%,Ecuador,3.0,t +19916,,Nicaragua,1.0,t +17068,,,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +1728,,Papua New Guinea,1.0,t +11137,80%,Niue,2.0,t +3255,,China,1.0,f +38559,,,1.0,t +43747,,Isle of Man,1.0,f +40035,,,1.0,t +11860,100%,,2.0,t +21236,,Suriname,1.0,f +26553,,Jersey,1.0,f +32985,100%,France,1.0,f +36668,33%,Niger,1.0,f +27945,100%,Chile,1.0,t +49498,,Russian Federation,1.0,f +41106,100%,Jersey,1.0,f +7384,100%,Faroe Islands,2.0,t +48031,,Chad,1.0,t +24217,67%,Gambia,1.0,f +11835,,,1.0,t +12364,100%,Russian Federation,1.0,f +14823,,French Guiana,1.0,t +16301,,,1.0,t +37452,100%,,1.0,f +4655,100%,,3.0,t +1646,,Niue,1.0,t +14163,100%,Micronesia,1.0,f +41611,100%,,1.0,t +26043,,Niue,1.0,t +32367,,Malawi,1.0,f +6978,,Faroe Islands,1.0,f +46560,,Nicaragua,1.0,t +33549,90%,,1.0,t +42520,,Isle of Man,1.0,f +8812,100%,Saint Helena,1.0,f +12588,100%,Slovenia,3.0,f +38596,,Niue,1.0,t +7526,,Malta,1.0,f +19379,,Kiribati,1.0,f +23680,,,1.0,t +3240,,Chile,1.0,t +14836,,Vanuatu,1.0,f +36334,,Malta,1.0,t +9013,100%,,2.0,f +13501,100%,Russian Federation,1.0,t +48385,100%,Isle of Man,1.0,f +6551,,,1.0,t +42384,,,2.0,t +42384,,,2.0,t +1526,100%,France,1.0,t +12931,100%,,1.0,t +46966,100%,Monaco,1.0,t +25892,,Uganda,1.0,t +24684,,Togo,1.0,f +29647,100%,Peru,1305.0,f +30581,100%,,1.0,t +35733,100%,Lithuania,1.0,t +29647,100%,Peru,1305.0,f +8433,100%,Cocos (Keeling) Islands,1.0,t +16580,,French Guiana,3.0,t +29647,100%,Peru,1305.0,f +39164,100%,Cocos (Keeling) Islands,3.0,f +29647,100%,Peru,1305.0,f +17384,,Malawi,1.0,f +26092,,Papua New Guinea,1.0,f +29647,100%,Peru,1305.0,f +1692,100%,Jersey,15.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44692,,Switzerland,1.0,f +46333,100%,,1.0,t +49364,,Reunion,3.0,t +29647,100%,Peru,1305.0,f +33866,100%,,1.0,t +9937,100%,Guernsey,1.0,f +29267,,,1.0,f +12421,,Russian Federation,1.0,f +21479,100%,Marshall Islands,1.0,f +14547,100%,Gibraltar,2.0,f +7140,,,1.0,t +28831,80%,Maldives,1.0,t +14364,100%,Nauru,9.0,f +618,,French Guiana,1.0,t +8694,100%,Togo,2.0,f +2661,,Korea,1.0,t +16180,,Russian Federation,1.0,t +13794,100%,Afghanistan,1.0,t +39506,100%,Nauru,2.0,t +14047,100%,Philippines,4.0,f +41334,100%,Anguilla,1.0,f +10420,,,1.0,t +29488,100%,,1.0,f +10158,100%,Ukraine,6.0,t +2111,,,1.0,f +2297,100%,Pakistan,1.0,f +42920,,Turkmenistan,1.0,t +29647,100%,Peru,1305.0,f +31392,,,1.0,t +29647,100%,Peru,1305.0,f +49038,100%,Gibraltar,1.0,t +9324,100%,Niger,1.0,f +18931,,Slovakia (Slovak Republic),1.0,f +30255,100%,,1.0,f +18989,,China,4.0,f +18535,,,1.0,f +29647,100%,Peru,1305.0,f +16584,,Guinea,1.0,t +29647,100%,Peru,1305.0,f +3861,,,1.0,t +34402,79%,Reunion,28.0,f +48934,,Gambia,2.0,f +16170,100%,Nicaragua,2.0,t +26844,100%,,6.0,f +7095,50%,,2.0,f +22275,,Kiribati,1.0,f +20749,,,1.0,t +49519,25%,,1.0,f +34314,,Lebanon,1.0,t +7680,100%,,1.0,f +33868,,Pakistan,1.0,t +7829,100%,,2.0,t +40818,,,1.0,f +28828,100%,Isle of Man,198.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2823,100%,Vietnam,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +9445,,Bosnia and Herzegovina,1.0,t +23994,100%,El Salvador,2.0,f +29647,100%,Peru,1305.0,f +674,100%,Gibraltar,4.0,f +1692,100%,Jersey,15.0,t +27211,,Sao Tome and Principe,1.0,f +18838,,Guinea,1.0,f +46691,90%,Uzbekistan,38.0,f +29647,100%,Peru,1305.0,f +11464,100%,Papua New Guinea,11.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +39941,100%,Malawi,1.0,t +48349,100%,Isle of Man,2.0,f +38782,100%,Papua New Guinea,1.0,t +1036,100%,Isle of Man,1.0,f +33592,,Chile,1.0,f +14591,,,1.0,t +5610,,Russian Federation,1.0,f +35800,,,1.0,t +30784,,Nauru,2.0,t +21396,,Chile,1.0,t +21507,100%,Togo,2.0,f +3281,0%,Chad,1.0,f +41808,,Brazil,1.0,t +23717,,Denmark,2.0,f +16861,70%,Anguilla,3.0,f +35860,98%,Vietnam,4.0,t +12729,100%,Maldives,6.0,t +29647,100%,Peru,1305.0,f +41486,50%,Micronesia,2.0,f +17964,,Rwanda,1.0,f +14214,,Niue,1.0,f +29647,100%,Peru,1305.0,f +38061,100%,United Kingdom,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +41326,,,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +8716,80%,Sao Tome and Principe,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +47814,,Turkmenistan,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +21732,100%,Cocos (Keeling) Islands,5.0,t +29647,100%,Peru,1305.0,f +12123,80%,Puerto Rico,8.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +25269,60%,Reunion,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +986,,Russian Federation,1.0,t +9990,,Afghanistan,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +19639,100%,Monaco,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +33860,100%,Niger,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43390,100%,,2.0,f +41487,,Maldives,1.0,f +32970,,Chile,1.0,f +17470,100%,Denmark,7.0,t +17470,100%,Denmark,7.0,t +33688,,,2.0,t +20707,,,1.0,f +31650,100%,,1.0,t +29647,100%,Peru,1305.0,f +42329,,El Salvador,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +13144,,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29965,100%,Russian Federation,3.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +22581,,,1.0,f +18741,,Uruguay,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +1692,100%,Jersey,15.0,t +7352,,China,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +1692,100%,Jersey,15.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +15763,,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +41326,,,2.0,t +1692,100%,Jersey,15.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +19962,100%,,2.0,t +33629,73%,Sao Tome and Principe,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +21732,100%,Cocos (Keeling) Islands,5.0,t +19962,100%,,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +28609,100%,Zimbabwe,1.0,f +12494,,Ghana,3.0,t +10757,100%,,1.0,f +17432,,Gibraltar,1.0,f +50037,91%,Guernsey,4.0,t +35561,,Lebanon,1.0,f +21323,100%,Guinea,2.0,t +2510,50%,Sao Tome and Principe,1.0,f +27208,50%,French Guiana,1.0,t +25807,,Lebanon,1.0,f +1084,,,1.0,f +18029,,,1.0,t +50030,,Russian Federation,2.0,f +44861,,Puerto Rico,1.0,f +18068,,Svalbard & Jan Mayen Islands,1.0,f +3051,,,1.0,f +37528,,Svalbard & Jan Mayen Islands,1.0,f +28097,,Turkmenistan,1.0,f +40985,100%,Guinea,15.0,t +44414,100%,Vietnam,2.0,t +24424,,Lebanon,1.0,f +11912,,Chad,1.0,t +49661,100%,Costa Rica,1.0,t +33921,0%,,1.0,t +24481,,,1.0,f +31551,97%,Kiribati,8.0,t +31551,97%,Kiribati,8.0,t +31712,100%,Russian Federation,2.0,t +13207,100%,,1.0,f +11924,,,3.0,f +8697,,Greenland,2.0,f +7468,,Jersey,1.0,t +50037,91%,Guernsey,4.0,t +19285,,Micronesia,1.0,f +6104,100%,Uzbekistan,3.0,t +21732,100%,Cocos (Keeling) Islands,5.0,t +24193,,Saint Helena,1.0,t +21732,100%,Cocos (Keeling) Islands,5.0,t +21732,100%,Cocos (Keeling) Islands,5.0,t +46908,100%,Turkmenistan,1.0,f +43198,14%,,2.0,t +29812,100%,Tanzania,2.0,t +21255,,,1.0,t +43149,90%,,2.0,f +21802,,Lebanon,2.0,f +27358,,Bahrain,1.0,f +39516,,Rwanda,1.0,f +33253,,United Kingdom,1.0,t +34136,,Chad,1.0,t +17470,100%,Denmark,7.0,t +7136,100%,,1.0,t +37065,100%,Mauritania,2.0,t +28593,,Nicaragua,1.0,t +17470,100%,Denmark,7.0,t +35958,,Tonga,1.0,t +46173,,Afghanistan,1.0,t +20571,,,1.0,t +4158,100%,Holy See (Vatican City State),1.0,f +7652,89%,Venezuela,2.0,f +4639,100%,Monaco,3.0,t +28799,,Brazil,1.0,t +34408,,Jersey,1.0,t +32854,100%,Sao Tome and Principe,1.0,t +29162,,Rwanda,2.0,f +17079,,Niue,1.0,t +35948,100%,Brazil,8.0,f +28818,100%,Sao Tome and Principe,1.0,t +7422,,,1.0,t +5659,100%,Tanzania,1.0,t +49986,100%,,1.0,t +46642,,,1.0,f +12690,100%,Gambia,4.0,t +39780,100%,,2.0,f +23782,,Uzbekistan,1.0,t +5487,,Niue,1.0,f +19641,100%,,1.0,t +28534,100%,Palestinian Territory,1.0,f +35562,,Zimbabwe,1.0,t +19958,100%,Congo,40.0,t +8500,100%,,1.0,t +37293,92%,Russian Federation,15.0,f +19988,100%,Niue,1.0,t +27591,100%,Russian Federation,1.0,f +21983,100%,Kenya,1.0,f +6297,,,1.0,f +14311,100%,,1.0,t +2751,,,1.0,f +23982,,Brazil,1.0,f +23210,,,1.0,t +23291,,Jersey,1.0,f +2700,,,1.0,f +43153,100%,Peru,1.0,f +21072,100%,Lebanon,2.0,t +38652,100%,Uzbekistan,9.0,f +46562,,Mauritania,1.0,t +5057,100%,Zimbabwe,23.0,t +24124,80%,Uzbekistan,2.0,t +35758,70%,Somalia,12.0,f +37787,100%,Barbados,5.0,f +4732,80%,Micronesia,2.0,t +18662,70%,Uruguay,4.0,t +28520,100%,Slovakia (Slovak Republic),2.0,t +21223,,Isle of Man,1.0,f +16989,,Reunion,1.0,f +27334,100%,China,16.0,f +32594,,Nicaragua,2.0,t +40527,,,1.0,t +473,100%,Guinea,1.0,f +12847,100%,France,2.0,f +11137,80%,Niue,2.0,t +34207,,Estonia,1.0,t +9033,,Micronesia,1.0,f +46749,100%,,2.0,f +3254,,Tonga,16.0,t +18545,94%,Isle of Man,8.0,t +18545,94%,Isle of Man,8.0,t +37914,100%,Malta,2.0,f +3254,,Tonga,16.0,t +15490,,Tanzania,1.0,t +14760,100%,Guinea,1.0,t +32721,100%,Uganda,2.0,t +36166,,,1.0,f +46068,,Suriname,1.0,f +12845,100%,Niue,1.0,t +2903,100%,Nicaragua,2.0,t +18506,30%,Sao Tome and Principe,1.0,t +46013,100%,Denmark,1.0,t +16767,,Niue,2.0,t +27760,100%,,1.0,f +24052,100%,Guinea,1.0,t +30715,,,1.0,f +26841,,,1.0,f +2022,100%,,1.0,f +27450,,Nicaragua,1.0,f +9631,,,1.0,t +38438,,Venezuela,1.0,f +45854,,Niger,1.0,f +38746,99%,Vietnam,13.0,f +28454,100%,Kiribati,3.0,f +43063,100%,Sao Tome and Principe,1.0,f +17388,100%,,2.0,t +40952,,,1.0,t +44795,,French Guiana,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +27946,100%,Libyan Arab Jamahiriya,2.0,f +12180,100%,Kenya,2.0,t +14948,,Switzerland,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +22342,100%,Marshall Islands,1.0,t +29647,100%,Peru,1305.0,f +13212,100%,Zimbabwe,12.0,t +6385,,Maldives,1.0,t +13963,100%,Malta,2.0,t +49386,,,1.0,f +17179,,Philippines,1.0,f +22646,100%,Anguilla,1.0,t +25178,100%,Marshall Islands,1.0,f +22779,,Poland,5.0,f +36384,100%,,1.0,f +48581,,Montserrat,8.0,t +44195,100%,Marshall Islands,1.0,f +23583,,Ghana,1.0,t +13795,100%,Rwanda,1.0,t +18880,,Faroe Islands,1.0,f +49641,100%,,3.0,t +45980,,Faroe Islands,1.0,t +49641,100%,,3.0,t +29647,100%,Peru,1305.0,f +44192,,,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +34306,91%,Wallis and Futuna,30.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +36800,0%,,1.0,f +29647,100%,Peru,1305.0,f +16103,100%,,1.0,t +15514,,Australia,1.0,f +45164,50%,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +17509,100%,Nicaragua,3.0,f +17509,100%,Nicaragua,3.0,f +27972,94%,Brazil,27.0,f +34402,79%,Reunion,28.0,f +14181,70%,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +42464,,Senegal,1.0,t +35935,,Tunisia,1.0,t +34172,,Jersey,1.0,f +3254,,Tonga,16.0,t +41310,,,2.0,t +19707,,Uganda,1.0,t +26844,100%,,6.0,f +43447,,Ghana,5.0,t +17944,,Venezuela,1.0,t +30284,100%,Montserrat,1.0,f +14948,,Switzerland,2.0,f +21167,80%,Cocos (Keeling) Islands,1.0,f +26323,80%,Tanzania,1.0,t +4422,100%,,1.0,f +29647,100%,Peru,1305.0,f +34402,79%,Reunion,28.0,f +34883,,,1.0,t +29647,100%,Peru,1305.0,f +17365,,,1.0,f +29647,100%,Peru,1305.0,f +34402,79%,Reunion,28.0,f +35844,,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +24814,100%,,3.0,f +43094,,Monaco,1.0,f +26844,100%,,6.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +47650,96%,Mauritania,2.0,t +26844,100%,,6.0,f +11113,,Greenland,1.0,t +21086,,,1.0,f +2352,,,1.0,t +28233,,Fiji,2.0,t +19462,,Isle of Man,1.0,t +49098,,,1.0,t +49966,,Niue,1.0,f +16438,,,1.0,t +4330,94%,Ukraine,60.0,t +4097,100%,Croatia,7.0,f +13928,,,1.0,t +49144,100%,Vietnam,1.0,f +21423,,Uzbekistan,1.0,f +16819,100%,Niue,2.0,t +5555,100%,Denmark,11.0,t +13139,,Niue,1.0,t +34559,100%,Isle of Man,1.0,t +46600,,Canada,1.0,f +29121,,Kenya,2.0,t +22601,,,1.0,f +47728,,Jersey,1.0,f +10518,,Kenya,1.0,t +28432,,Isle of Man,1.0,f +1397,,Chile,1.0,f +38569,,,1.0,f +39171,,,2.0,t +18231,93%,Uganda,7.0,t +23846,,Niue,1.0,t +30366,100%,Holy See (Vatican City State),2.0,t +17235,100%,,1.0,f +16493,,,1.0,f +41526,,Gambia,1.0,f +15025,,Niue,1.0,t +16722,,Mauritania,1.0,t +7271,100%,Bouvet Island (Bouvetoya),2.0,t +32190,100%,Niue,4.0,f +48075,,United Kingdom,4.0,t +29609,100%,Niue,1.0,t +24751,100%,Puerto Rico,1.0,t +37724,100%,Gibraltar,1.0,t +41128,100%,Uzbekistan,4.0,f +11102,100%,Russian Federation,1.0,f +22827,,,1.0,t +29897,,,1.0,f +27706,,,1.0,t +3483,100%,Micronesia,4.0,t +29336,,Cape Verde,1.0,f +6517,,Niue,1.0,t +31594,100%,Philippines,19.0,t +4,80%,Guinea,1.0,f +18168,95%,Ecuador,3.0,f +40987,100%,Maldives,2.0,t +29057,,Sao Tome and Principe,1.0,t +19465,100%,Chad,2.0,t +2969,,,1.0,t +41146,,,1.0,f +23003,,Uganda,1.0,f +4111,100%,Isle of Man,1.0,t +45377,,,1.0,t +10251,,Niue,1.0,t +27522,,Chile,1.0,f +14030,,,1.0,f +46433,,Bouvet Island (Bouvetoya),1.0,t +21218,,,1.0,f +32095,,Rwanda,1.0,f +30004,100%,Marshall Islands,1.0,f +19671,,Australia,1.0,t +16861,70%,Anguilla,3.0,f +22807,100%,Gibraltar,1.0,f +18108,100%,Tonga,1.0,t +22451,100%,Guinea,1.0,f +19246,100%,Monaco,1.0,t +36933,,,1.0,t +22370,100%,Turkmenistan,1.0,t +13278,95%,Isle of Man,7.0,f +27811,100%,Ukraine,4.0,t +44271,100%,,1.0,t +45942,,,1.0,t +30706,,Libyan Arab Jamahiriya,1.0,t +21258,70%,,2.0,t +40791,93%,Ghana,3.0,f +11390,,,1.0,f +29811,,Micronesia,1.0,f +20084,,Tonga,1.0,t +10663,100%,Malta,1.0,f +12729,100%,Maldives,6.0,t +21854,100%,Isle of Man,3.0,t +30154,50%,Mauritania,1.0,f +13052,,Brazil,1.0,t +29686,,Sao Tome and Principe,1.0,t +20115,86%,Isle of Man,2.0,t +24393,,,1.0,t +24480,,,1.0,t +2314,,Tonga,1.0,t +45862,,Tonga,1.0,t +42379,100%,Cocos (Keeling) Islands,5.0,f +42379,100%,Cocos (Keeling) Islands,5.0,f +30475,92%,Vietnam,40.0,f +20603,100%,Peru,1.0,f +15872,100%,Tonga,6.0,t +15872,100%,Tonga,6.0,t +15872,100%,Tonga,6.0,t +13129,,Tonga,3.0,f +36639,100%,,2.0,t +47215,,,2.0,f +36295,,,2.0,f +34402,79%,Reunion,28.0,f +8100,,Netherlands,1.0,t +21814,,Gibraltar,1.0,t +19999,100%,Kenya,1.0,t +23082,,Niue,1.0,t +34306,91%,Wallis and Futuna,30.0,t +38746,99%,Vietnam,13.0,f +13081,100%,Jersey,3.0,f +37422,100%,Brazil,4.0,t +42092,,,1.0,t +35686,,,1.0,t +12729,100%,Maldives,6.0,t +38652,100%,Uzbekistan,9.0,f +17878,100%,Greenland,1.0,f +47828,100%,Gibraltar,2.0,f +48637,,,1.0,t +33989,,Russian Federation,1.0,t +8122,,Monaco,2.0,t +28898,85%,Maldives,5.0,t +29357,,United Kingdom,1.0,t +11203,,Niue,3.0,f +28065,,Rwanda,4.0,f +11066,100%,Chad,1.0,t +44267,,Chad,1.0,t +16384,,Togo,1.0,t +12326,50%,France,3.0,t +43321,100%,France,40.0,f +11314,,,1.0,f +16015,,,1.0,t +7798,,China,1.0,t +40791,93%,Ghana,3.0,f +13830,100%,Faroe Islands,2.0,t +37646,100%,Estonia,60.0,f +28898,85%,Maldives,5.0,t +18484,100%,Gambia,108.0,f +24264,,Kiribati,1.0,t +37646,100%,Estonia,60.0,f +20388,,Guinea,1.0,f +40623,100%,Holy See (Vatican City State),2.0,t +8901,,Indonesia,1.0,t +28898,85%,Maldives,5.0,t +46668,100%,Malta,2.0,t +42275,,Niue,1.0,f +5491,100%,Malawi,3.0,t +13983,,Micronesia,3.0,t +27334,100%,China,16.0,f +39693,100%,Guinea,3.0,f +50059,100%,Barbados,7.0,f +50059,100%,Barbados,7.0,f +12648,,,1.0,f +3428,100%,Lebanon,4.0,t +29630,100%,Monaco,1.0,t +7030,100%,Guernsey,6.0,f +46011,,Gambia,1.0,t +16910,100%,Slovakia (Slovak Republic),5.0,t +16910,100%,Slovakia (Slovak Republic),5.0,t +16910,100%,Slovakia (Slovak Republic),5.0,t +17120,100%,Uzbekistan,2.0,t +47422,99%,Uzbekistan,30.0,f +47422,99%,Uzbekistan,30.0,f +37646,100%,Estonia,60.0,f +37646,100%,Estonia,60.0,f +22447,,,1.0,f +34306,91%,Wallis and Futuna,30.0,t +7132,100%,,2.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +6600,80%,,1.0,f +40594,,Niger,1.0,t +43321,100%,France,40.0,f +2444,,,1.0,f +43321,100%,France,40.0,f +11543,44%,,2.0,f +28828,100%,Isle of Man,198.0,t +16811,100%,,1.0,t +9175,,Lebanon,1.0,t +8080,,Marshall Islands,1.0,f +46691,90%,Uzbekistan,38.0,f +43260,,Marshall Islands,1.0,f +6159,,,1.0,f +10022,,,2.0,f +30475,92%,Vietnam,40.0,f +24715,100%,,1.0,f +41335,,,1.0,t +31244,57%,Niger,4.0,t +5845,,,1.0,f +34379,,Isle of Man,1.0,f +5066,100%,,1.0,t +28857,100%,Niue,1.0,f +39236,,Afghanistan,3.0,f +16474,100%,,1.0,t +15069,100%,Montserrat,3.0,t +8963,100%,,3.0,t +35948,100%,Brazil,8.0,f +35948,100%,Brazil,8.0,f +43623,,Guinea,1.0,f +39137,80%,Jersey,1.0,t +998,60%,Niue,1.0,t +33767,,Micronesia,1.0,f +49106,100%,Uganda,1.0,t +47875,,Turks and Caicos Islands,2.0,f +22750,,Barbados,4.0,t +43152,100%,Nicaragua,82.0,t +43152,100%,Nicaragua,82.0,t +27337,100%,,2.0,f +21041,81%,Vietnam,3.0,f +31911,,Lebanon,1.0,t +6630,,,1.0,f +4486,100%,Russian Federation,1.0,t +48558,,Monaco,1.0,t +21291,,Bosnia and Herzegovina,1.0,t +22085,,Vanuatu,1.0,t +21955,,Svalbard & Jan Mayen Islands,1.0,f +8471,,,1.0,f +5425,100%,Russian Federation,2.0,t +15307,,,1.0,f +10064,,Russian Federation,1.0,t +49104,,,1.0,f +36661,100%,,1.0,t +30215,,Nicaragua,2.0,t +25258,100%,,1.0,f +24302,100%,Cape Verde,6.0,f +29341,100%,Zimbabwe,2.0,t +12030,100%,Bouvet Island (Bouvetoya),1.0,t +10816,,Kenya,1.0,t +416,,Finland,1.0,f +35088,,Russian Federation,1.0,f +30543,100%,Croatia,2.0,t +15070,,French Guiana,1.0,t +43400,,,1.0,t +40363,,Bosnia and Herzegovina,1.0,t +28348,100%,Sao Tome and Principe,3.0,t +42190,96%,Croatia,4.0,t +45513,,Russian Federation,1.0,f +40924,,French Guiana,1.0,f +42190,96%,Croatia,4.0,t +17058,100%,,1.0,t +29470,100%,Slovakia (Slovak Republic),2.0,f +47026,90%,Vietnam,3.0,f +6525,100%,Indonesia,3.0,t +45546,100%,Cape Verde,19.0,t +17643,,,1.0,f +19247,100%,Cuba,5.0,f +36234,97%,Fiji,12.0,t +37925,100%,Gambia,2.0,t +45221,100%,Turkmenistan,1.0,t +6249,,Tanzania,1.0,t +12508,70%,Holy See (Vatican City State),3.0,t +27842,100%,,1.0,f +15114,,Ecuador,1.0,f +46425,,Cuba,1.0,t +33464,,Lebanon,1.0,t +45430,,Kenya,2.0,t +24329,,Monaco,1.0,t +8141,100%,Rwanda,2.0,t +27314,,,1.0,f +47002,,Uzbekistan,1.0,t +18110,,Bosnia and Herzegovina,1.0,t +7096,100%,Niue,4.0,t +29944,0%,,1.0,f +3725,,Tonga,1.0,f +37356,,Guinea,3.0,f +37490,100%,,2.0,t +11911,100%,Lithuania,1.0,t +48671,100%,Guinea,3.0,t +11106,0%,,2.0,t +34168,83%,Indonesia,3.0,f +34168,83%,Indonesia,3.0,f +41375,,,1.0,f +41507,100%,Sao Tome and Principe,1.0,t +32521,100%,Montserrat,4.0,t +47723,100%,Guinea,2.0,f +23333,91%,Kiribati,3.0,t +33033,89%,,1.0,t +18257,,Zimbabwe,1.0,f +37537,100%,,2.0,t +35345,,Zimbabwe,1.0,t +45724,,,1.0,f +32799,,Mauritania,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +27387,96%,Tonga,5.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +14048,100%,Finland,6.0,t +16410,100%,Australia,1.0,t +17200,,,1.0,t +9255,,Vietnam,10.0,f +30475,92%,Vietnam,40.0,f +31682,,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44096,,,2.0,t +42566,,,1.0,f +29647,100%,Peru,1305.0,f +510,,Greenland,1.0,f +36866,,Guinea,1.0,f +23275,,Micronesia,5.0,t +19858,,,1.0,f +31817,,Faroe Islands,1.0,t +29746,96%,Tonga,5.0,f +17489,100%,,1.0,f +35439,94%,United Kingdom,23.0,t +3651,,Mauritania,2.0,t +356,99%,Wallis and Futuna,32.0,t +37039,100%,,5.0,f +37568,90%,Sao Tome and Principe,1.0,f +44372,,,1.0,f +1468,100%,Papua New Guinea,1.0,t +27972,94%,Brazil,27.0,f +424,,Peru,1.0,t +18530,,China,1.0,t +11745,,,1.0,f +4337,,,1.0,f +44163,,,2.0,t +27837,,Marshall Islands,1.0,f +15568,,,1.0,t +38305,,,1.0,t +2559,,Cocos (Keeling) Islands,1.0,f +25409,60%,Malawi,1.0,f +35798,,Canada,1.0,f +9501,90%,,2.0,f +23335,100%,,3.0,f +26356,90%,Jersey,2.0,f +25261,100%,Tonga,1.0,f +22573,,,7.0,f +30985,100%,Uzbekistan,5.0,f +27972,94%,Brazil,27.0,f +38409,100%,,1.0,f +7537,100%,Rwanda,2.0,f +9851,100%,Nicaragua,1.0,t +42534,100%,Marshall Islands,2.0,t +39110,100%,Jersey,1.0,t +44752,,,1.0,f +12249,,Denmark,2.0,f +1717,,Niue,1.0,f +6220,90%,Gambia,1.0,f +32686,78%,Micronesia,2.0,t +4485,95%,China,7.0,t +43409,100%,,1.0,t +36298,0%,Malta,1.0,t +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +29411,100%,Svalbard & Jan Mayen Islands,2.0,f +34265,100%,,1.0,f +42364,0%,Djibouti,1.0,f +38705,,Guinea,1.0,t +28898,85%,Maldives,5.0,t +45360,,France,1.0,t +35711,71%,Kiribati,2.0,t +22794,50%,Cape Verde,36.0,t +25785,,Ecuador,1.0,t +1889,100%,,1.0,t +30245,,Nicaragua,1.0,t +14477,100%,Reunion,26.0,t +7897,,Fiji,1.0,t +31440,,Switzerland,1.0,f +41883,,Svalbard & Jan Mayen Islands,1.0,t +17777,,Lebanon,1.0,t +15407,50%,,1.0,f +29781,,Turkmenistan,2.0,t +46258,100%,Philippines,1.0,t +39007,,,2.0,f +31413,100%,Estonia,1.0,t +41330,100%,Slovenia,1.0,f +3334,,Indonesia,2.0,t +22750,,Barbados,4.0,t +34777,,Somalia,1.0,f +12201,,Kenya,1.0,f +36643,98%,Maldives,17.0,f +2024,,,1.0,f +21918,100%,,1.0,f +37851,100%,Denmark,4.0,t +3677,100%,Russian Federation,1.0,f +33655,100%,,1.0,t +3254,,Tonga,16.0,t +47555,,Lebanon,1.0,t +12494,,Ghana,3.0,t +23333,91%,Kiribati,3.0,t +17896,,Canada,1.0,f +14856,,,1.0,f +6959,95%,Slovakia (Slovak Republic),20.0,t +14945,,,1.0,f +28866,,Cuba,5.0,f +4432,100%,Wallis and Futuna,18.0,f +6981,100%,Palestinian Territory,1.0,f +23333,91%,Kiribati,3.0,t +3054,,Croatia,1.0,f +31536,,Mauritania,1.0,f +30475,92%,Vietnam,40.0,f +42227,100%,,1.0,f +28866,,Cuba,5.0,f +38463,,,1.0,t +7946,,,1.0,t +39107,100%,Canada,2.0,f +6141,,Maldives,2.0,t +29883,90%,Isle of Man,26.0,t +29883,90%,Isle of Man,26.0,t +48351,,Malta,3.0,f +22234,,Chad,1.0,t +29883,90%,Isle of Man,26.0,t +30132,,Bahrain,1.0,f +2227,100%,Montserrat,5.0,t +44146,36%,Malawi,2.0,t +3658,,Micronesia,2.0,t +46194,100%,Tanzania,4.0,f +1114,,Bosnia and Herzegovina,1.0,t +32229,,Nicaragua,1.0,f +22602,100%,Ukraine,2.0,f +17704,100%,Vanuatu,1.0,f +36481,95%,Kiribati,7.0,t +25987,,Venezuela,7.0,t +5160,,,3.0,t +19983,,,1.0,t +22331,99%,Rwanda,50.0,t +14357,,,2.0,t +32143,,Ecuador,1.0,t +29883,90%,Isle of Man,26.0,t +29883,90%,Isle of Man,26.0,t +29883,90%,Isle of Man,26.0,t +28896,100%,Uganda,2.0,t +28866,,Cuba,5.0,f +29883,90%,Isle of Man,26.0,t +49939,,France,1.0,t +29883,90%,Isle of Man,26.0,t +13855,,Ghana,1.0,f +35241,,,1.0,t +45256,100%,Guinea,1.0,t +27972,94%,Brazil,27.0,f +23708,100%,,1.0,f +43829,,Kenya,1.0,f +43725,100%,China,4.0,t +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +5663,,Russian Federation,8.0,t +45954,100%,Bosnia and Herzegovina,1.0,t +7483,100%,Russian Federation,2.0,f +43725,100%,China,4.0,t +17274,,France,1.0,f +16529,100%,,1.0,t +19723,85%,Reunion,2.0,f +40593,,Nauru,10.0,t +20189,100%,Niger,4.0,f +28864,100%,Niger,1.0,f +7789,,,1.0,f +18709,,,1.0,t +7881,100%,Niue,6.0,t +30410,,Uzbekistan,1.0,t +46516,,Indonesia,1.0,f +31749,100%,Uganda,9.0,t +22750,,Barbados,4.0,t +6942,90%,Tanzania,1.0,t +3527,,Turks and Caicos Islands,1.0,f +32209,,Lebanon,1.0,f +32215,,Isle of Man,1.0,f +2597,100%,Nicaragua,13.0,t +36008,100%,Niue,1.0,t +49022,,,1.0,t +31458,100%,Lithuania,2.0,f +26517,,,1.0,f +45892,,,1.0,f +19901,,Guinea,1.0,f +27202,100%,Mauritania,1.0,f +49767,100%,,1.0,t +50037,91%,Guernsey,4.0,t +14913,,,1.0,f +49620,,,1.0,t +49027,,Turkmenistan,1.0,f +35371,,,1.0,f +18598,,Monaco,1.0,f +46756,,Guernsey,1.0,f +40936,,Russian Federation,1.0,f +23478,,,1.0,t +23952,,,1.0,t +5442,,Guinea,1.0,t +9607,,Montserrat,1.0,t +43103,100%,Monaco,3.0,t +42497,,France,1.0,f +17303,100%,Russian Federation,5.0,t +31624,,Gibraltar,1.0,t +45201,,,1.0,f +7448,,Guinea,2.0,f +13547,,,1.0,t +40145,100%,Micronesia,1.0,t +21831,100%,,1.0,t +42146,100%,Niue,1.0,t +35899,100%,Andorra,1.0,t +46194,100%,Tanzania,4.0,f +49477,100%,,2.0,f +22122,,French Guiana,1.0,t +26354,100%,Bouvet Island (Bouvetoya),1.0,t +17479,,French Guiana,1.0,t +41116,,Estonia,1.0,f +10735,,Palestinian Territory,1.0,f +46004,,Vanuatu,1.0,f +4617,,Malta,1.0,f +3391,100%,Iran,58.0,t +36536,100%,Brazil,1.0,t +10259,100%,Gambia,1.0,f +7157,,Finland,1.0,f +47594,100%,Kenya,17.0,t +29271,,Micronesia,1.0,f +41767,100%,,1.0,t +28941,,Sao Tome and Principe,1.0,f +49361,,Jersey,2.0,t +6702,100%,Nicaragua,1.0,f +34575,86%,Cape Verde,4.0,f +45178,,,1.0,t +14021,,Guinea,2.0,f +3344,,,1.0,f +26334,,United Kingdom,1.0,f +34569,100%,Malawi,2.0,t +39868,,Chile,1.0,f +21608,50%,Christmas Island,2.0,f +18617,100%,Maldives,1.0,t +5663,,Russian Federation,8.0,t +47361,100%,Barbados,10.0,f +46564,,Mauritania,1.0,t +8933,,El Salvador,1.0,t +47704,,China,1.0,t +26866,83%,Monaco,1.0,f +25207,100%,,9.0,t +36162,100%,,4.0,t +30999,,,1.0,f +36162,100%,,4.0,t +39007,,,2.0,f +2491,,Bosnia and Herzegovina,1.0,f +49586,,Turkmenistan,1.0,t +7755,,Isle of Man,1.0,t +32873,,,1.0,t +12887,,,1.0,f +50046,,Switzerland,1.0,f +7715,100%,Montserrat,3.0,f +25648,,,1.0,t +16528,,Zimbabwe,1.0,t +563,,French Guiana,1.0,t +36248,,,1.0,f +17311,,Uzbekistan,1.0,t +24426,100%,,7.0,t +13021,,,1.0,t +13248,100%,Maldives,1.0,t +47183,,Estonia,1.0,f +10305,,Somalia,3.0,t +13175,100%,Chad,1.0,f +2227,100%,Montserrat,5.0,t +40142,80%,Lebanon,1.0,t +4804,100%,,1.0,t +46478,,Nauru,1.0,f +42859,,,1.0,f +32848,,Ukraine,2.0,f +12038,100%,,1.0,t +34952,,,1.0,t +49667,,Chad,1.0,f +40760,,Philippines,1.0,t +33553,,,1.0,f +9969,50%,,1.0,f +49162,,Niue,1.0,t +25207,100%,,9.0,t +42087,,,1.0,f +44330,100%,,1.0,f +3162,100%,Montserrat,6.0,t +1523,100%,Uganda,2.0,t +6983,100%,,1.0,f +29405,,,1.0,f +24260,,,1.0,f +6300,33%,,1.0,t +34580,,,1.0,t +6868,100%,Croatia,1.0,t +12723,,Croatia,1.0,t +10890,100%,,2.0,t +38504,100%,Malawi,2.0,f +17691,90%,Zimbabwe,4.0,t +20748,,,1.0,f +33388,,Gambia,1.0,t +14871,,Maldives,1.0,f +49675,100%,,2.0,f +8430,,Peru,7.0,t +15669,,Sao Tome and Principe,6.0,t +1343,,Isle of Man,2.0,f +49561,,,1.0,f +23163,100%,,1.0,t +31551,97%,Kiribati,8.0,t +4994,,Chad,1.0,f +10743,,,2.0,f +33274,,Niue,1.0,f +33700,,Togo,1.0,f +22836,100%,,2.0,t +19139,100%,Mauritania,1.0,f +12629,,Tonga,1.0,f +7480,,Lebanon,1.0,f +30569,100%,United Kingdom,5.0,t +2350,100%,Tonga,1.0,t +5785,100%,Isle of Man,2.0,t +44084,,Togo,1.0,f +4802,,,1.0,f +7654,100%,Tonga,2.0,t +42156,,French Guiana,1.0,t +31264,,Malta,2.0,f +506,,,1.0,t +26603,,Uzbekistan,1.0,t +36773,95%,Venezuela,4.0,t +12283,,Montserrat,1.0,f +29429,100%,Kiribati,1.0,f +48364,100%,,4.0,f +12341,100%,Lithuania,1.0,t +31749,100%,Uganda,9.0,t +46736,,Afghanistan,1.0,t +26507,,Mauritania,1.0,t +42781,,Isle of Man,1.0,f +21954,,Switzerland,1.0,t +8011,100%,Papua New Guinea,1.0,f +9529,,,1.0,t +36733,100%,Tanzania,1.0,t +17376,,Bouvet Island (Bouvetoya),1.0,t +25182,100%,,2.0,t +45729,100%,,1.0,t +6713,100%,Mauritania,10.0,f +34856,,Maldives,2.0,f +24783,,Chad,1.0,t +40266,100%,Netherlands,1.0,f +28308,,,1.0,f +6088,100%,,14.0,t +36912,,Costa Rica,1.0,t +39840,,China,2.0,t +6768,100%,,1.0,t +1850,,,1.0,f +43437,,Niue,1.0,f +22375,100%,,1.0,f +34402,79%,Reunion,28.0,f +27428,100%,Uzbekistan,2.0,f +1255,,,1.0,t +14769,100%,Kiribati,4.0,t +34784,60%,Faroe Islands,19.0,t +26910,100%,,1.0,t +21300,,United Kingdom,1.0,f +35150,,Uruguay,1.0,t +40599,100%,United Kingdom,1.0,t +3503,100%,Ukraine,2.0,t +10305,,Somalia,3.0,t +24261,,,1.0,f +18272,90%,Vietnam,3.0,f +33179,100%,Rwanda,13.0,f +28398,100%,El Salvador,7.0,t +13127,100%,Niger,22.0,f +46476,,Chile,1.0,t +25825,,Malta,1.0,f +41392,,Guinea,1.0,t +38078,100%,Uzbekistan,2.0,t +31749,100%,Uganda,9.0,t +39771,100%,,8.0,f +8722,,,1.0,t +29765,,,1.0,t +45603,,Jersey,1.0,t +33527,,Tonga,1.0,t +11472,100%,,1.0,f +11184,,Nauru,2.0,t +42300,100%,Lithuania,1.0,t +6929,,Greenland,1.0,f +18834,,Kiribati,1.0,t +8201,,Guinea,1.0,f +38982,,Cocos (Keeling) Islands,1.0,t +8846,,Russian Federation,1.0,t +24842,100%,Jersey,4.0,t +44156,,Monaco,1.0,t +46285,100%,Turkmenistan,3.0,t +39853,,Micronesia,1.0,f +8704,,Lebanon,2.0,f +48458,100%,Nauru,1.0,t +28517,,Lebanon,2.0,t +6082,100%,Russian Federation,2.0,t +34140,,Brazil,1.0,t +39494,,Niue,1.0,f +26433,,Estonia,1.0,t +14000,,Lebanon,2.0,t +37263,,French Polynesia,1.0,f +44064,100%,,1.0,t +6390,,,1.0,t +31348,,Russian Federation,1.0,t +38389,,Nicaragua,1.0,f +30101,,Andorra,1.0,t +39299,,Svalbard & Jan Mayen Islands,1.0,f +48276,,,1.0,f +19950,,,1.0,f +37631,,Russian Federation,1.0,t +36691,,,3.0,f +8650,100%,,1.0,t +13993,100%,,1.0,f +39082,,Russian Federation,1.0,t +46153,100%,Kenya,1.0,f +45000,100%,Montserrat,10.0,t +16027,,Barbados,8.0,t +28997,100%,Slovenia,2.0,t +22897,,Bosnia and Herzegovina,1.0,f +19091,95%,Cook Islands,18.0,t +7540,100%,,1.0,f +9475,89%,,1.0,f +11006,,,1.0,f +40846,,Sao Tome and Principe,3.0,t +29647,100%,Peru,1305.0,f +13319,,Tunisia,2.0,t +40658,,,1.0,t +34959,,Maldives,2.0,t +29647,100%,Peru,1305.0,f +29746,96%,Tonga,5.0,f +1833,,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +36623,,,1.0,f +29647,100%,Peru,1305.0,f +45309,,Niue,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +31595,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +14343,100%,Bouvet Island (Bouvetoya),2.0,f +14040,,,1.0,t +12494,,Ghana,3.0,t +6664,,,1.0,t +23370,40%,Nicaragua,3.0,f +24917,100%,Uganda,11.0,t +33583,,Costa Rica,1.0,f +49165,,,1.0,t +17008,,,1.0,t +20190,,Denmark,1.0,t +6629,,,2.0,t +5258,,Turkmenistan,3.0,t +18939,,Reunion,3.0,t +4083,,,1.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +14641,100%,,1.0,t +5680,0%,,1.0,f +841,,Mauritania,1.0,f +46034,,,3.0,f +23652,,Russian Federation,1.0,t +16027,,Barbados,8.0,t +16580,,French Guiana,3.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +46691,90%,Uzbekistan,38.0,f +29647,100%,Peru,1305.0,f +23623,100%,Montserrat,11.0,t +29647,100%,Peru,1305.0,f +6104,100%,Uzbekistan,3.0,t +29647,100%,Peru,1305.0,f +27330,,Niue,1.0,t +33582,,Faroe Islands,1.0,f +31476,,Zimbabwe,1.0,t +2048,100%,Brazil,1.0,t +10692,100%,Gambia,1.0,t +45333,,United Kingdom,1.0,f +18484,100%,Gambia,108.0,f +34402,79%,Reunion,28.0,f +34402,79%,Reunion,28.0,f +30418,,Cuba,1.0,t +18527,,Lebanon,1.0,f +44461,,Congo,1.0,f +13968,,,1.0,f +40494,,French Guiana,1.0,t +24917,100%,Uganda,11.0,t +23127,,Niue,1.0,t +3409,,Rwanda,1.0,f +37890,,Bahrain,1.0,f +26304,,French Guiana,1.0,f +24148,,Estonia,1.0,t +34889,,Somalia,1.0,t +47377,,Chad,2.0,t +31710,,Guinea,3.0,f +28372,100%,Indonesia,12.0,f +44580,,Maldives,1.0,t +29385,100%,Grenada,1.0,t +39567,,,1.0,t +17302,,Anguilla,1.0,t +10924,,,1.0,t +14610,100%,Niue,2.0,t +20234,,,1.0,t +47553,,Brazil,2.0,t +32392,83%,Tunisia,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +35367,100%,Malta,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +47161,,Nicaragua,1.0,t +23470,0%,Croatia,1.0,t +11617,,,2.0,f +47565,100%,Kiribati,1.0,t +5724,100%,,1.0,f +46836,,,1.0,f +28947,100%,Palestinian Territory,1.0,f +35571,,Bosnia and Herzegovina,3.0,t +37646,100%,Estonia,60.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +7520,100%,Ukraine,15.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44136,,Montserrat,1.0,f +34238,100%,Saint Barthelemy,5.0,t +29647,100%,Peru,1305.0,f +8061,,Indonesia,2.0,f +26791,,Sao Tome and Principe,1.0,f +44984,,Reunion,1.0,f +23401,,Chile,3.0,f +19829,,Russian Federation,1.0,f +17504,,,2.0,t +45680,,Russian Federation,1.0,t +8265,100%,,1.0,f +24249,100%,,1.0,t +8376,100%,Guinea,3.0,t +41295,,Russian Federation,1.0,f +11288,100%,,1.0,t +3907,100%,Sao Tome and Principe,2.0,t +42458,97%,Indonesia,14.0,t +7288,,Russian Federation,1.0,f +6576,100%,Gibraltar,3.0,t +1649,100%,Reunion,2.0,t +41253,90%,Sao Tome and Principe,3.0,t +41253,90%,Sao Tome and Principe,3.0,t +14586,,Somalia,1.0,f +49641,100%,,3.0,t +29940,90%,Uzbekistan,1.0,t +35553,,Russian Federation,1.0,f +14514,,China,80.0,t +49062,50%,,1.0,f +13033,80%,Moldova,3.0,t +22191,100%,Cape Verde,2.0,f +22191,100%,Cape Verde,2.0,f +19589,100%,,3.0,f +7518,,Micronesia,1.0,t +44018,,,1.0,f +23623,100%,Montserrat,11.0,t +18902,100%,Russian Federation,1.0,f +16330,100%,Kenya,2.0,f +17395,,Russian Federation,1.0,f +48094,,,1.0,f +28111,,Russian Federation,1.0,f +2143,,France,2.0,t +47616,100%,Finland,1.0,t +22954,,Tonga,1.0,t +8547,,Nicaragua,1.0,t +22481,,Brazil,1.0,f +49235,,Micronesia,1.0,t +32786,,Nauru,1.0,f +415,100%,Zimbabwe,1.0,f +49441,,Grenada,1.0,f +49474,,,1.0,f +31146,,,1.0,t +566,,,1.0,t +23776,100%,Micronesia,2.0,t +25977,100%,Slovakia (Slovak Republic),2.0,t +49783,,,1.0,t +25755,,El Salvador,1.0,t +4476,,Maldives,1.0,t +49708,,Afghanistan,3.0,t +7485,100%,Tonga,3.0,f +1356,,Senegal,2.0,f +33687,,Russian Federation,1.0,t +4929,,Netherlands,1.0,t +12048,,Barbados,1.0,f +3789,64%,Fiji,2.0,f +10942,96%,Uganda,3.0,f +40593,,Nauru,10.0,t +44841,100%,Sao Tome and Principe,3.0,t +34631,,,1.0,f +25805,,Monaco,1.0,t +15915,94%,,4.0,t +27681,100%,Maldives,1.0,t +16027,,Barbados,8.0,t +28828,100%,Isle of Man,198.0,t +30195,,,1.0,t +49044,,Cape Verde,2.0,t +1124,100%,Jersey,2.0,f +20547,,,1.0,f +38242,85%,Rwanda,3.0,t +47316,,Zimbabwe,1.0,t +14724,,Greenland,1.0,f +2033,,,1.0,f +49460,,Faroe Islands,1.0,f +12109,100%,Lebanon,1.0,t +6859,,Philippines,2.0,t +29084,100%,Mexico,2.0,t +38098,100%,Zimbabwe,7.0,t +38228,100%,Guinea,1.0,f +37304,,,1.0,f +40434,50%,Kiribati,1.0,f +7490,,Libyan Arab Jamahiriya,1.0,f +26136,,Malta,1.0,t +36839,100%,,1.0,t +19459,90%,Lebanon,2.0,f +43998,,Philippines,1.0,t +13553,93%,Vietnam,5.0,f +30680,,Guinea,4.0,f +7862,,Russian Federation,2.0,t +4290,,Sao Tome and Principe,1.0,f +25551,60%,Tonga,1.0,t +17979,,,1.0,t +16494,90%,,1.0,t +35476,100%,,1.0,t +17934,,Tanzania,1.0,t +16163,100%,France,2.0,f +38098,100%,Zimbabwe,7.0,t +1770,100%,,1.0,f +29068,,,1.0,t +39126,100%,Guinea,9.0,f +2927,100%,Uganda,10.0,t +2927,100%,Uganda,10.0,t +2927,100%,Uganda,10.0,t +25205,,Isle of Man,1.0,f +35357,,Chad,1.0,t +33777,,Cape Verde,1.0,t +48051,0%,Brazil,1.0,t +40251,33%,Ecuador,1.0,f +20433,,,1.0,t +47671,,Sao Tome and Principe,1.0,f +18236,100%,,4.0,t +34542,100%,,1.0,t +40581,100%,Micronesia,1.0,f +33340,,,2.0,f +38746,99%,Vietnam,13.0,f +49166,,Lithuania,1.0,f +36458,,Uzbekistan,1.0,t +37008,,Cape Verde,1.0,t +12853,,Rwanda,4.0,t +18726,,Niue,2.0,t +39735,,Zimbabwe,2.0,t +12853,,Rwanda,4.0,t +12403,92%,Vietnam,3.0,t +40612,,,2.0,f +36592,,Tonga,1.0,t +12403,92%,Vietnam,3.0,t +12403,92%,Vietnam,3.0,t +14000,,Lebanon,2.0,t +42487,,Russian Federation,1.0,t +28881,,Ghana,2.0,f +37037,,,1.0,f +33409,100%,,1.0,t +36789,100%,Vietnam,1.0,f +40710,90%,Russian Federation,3.0,t +40067,,,1.0,f +40710,90%,Russian Federation,3.0,t +26169,,,1.0,f +21157,,Somalia,1.0,t +5932,75%,,1.0,f +5944,,Estonia,1.0,t +38923,,Tonga,1.0,f +44900,,Gibraltar,1.0,t +39885,69%,French Guiana,2.0,t +34959,,Maldives,2.0,t +7019,100%,Tuvalu,2.0,f +17536,100%,Finland,1.0,t +6838,96%,Spain,59.0,t +9278,100%,Netherlands,10.0,f +41072,100%,Estonia,1.0,t +27387,96%,Tonga,5.0,f +3483,100%,Micronesia,4.0,t +38853,,Russian Federation,1.0,f +5065,,Guinea,1.0,t +23732,,Tanzania,1.0,f +48037,,,1.0,t +16738,100%,Jersey,2.0,t +3162,100%,Montserrat,6.0,t +44191,100%,,3.0,f +29689,100%,,1.0,t +34575,86%,Cape Verde,4.0,f +10709,,Lebanon,1.0,f +13864,,,1.0,f +11587,100%,Micronesia,2.0,t +26033,,,1.0,t +44813,,,1.0,f +38575,,Brazil,1.0,f +47575,,,1.0,f +41217,,Ghana,1.0,f +14160,90%,Slovakia (Slovak Republic),4.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +28141,83%,Uzbekistan,2.0,t +262,97%,Maldives,16.0,t +39870,,Slovakia (Slovak Republic),21.0,t +16862,,Peru,1.0,t +37853,,Isle of Man,1.0,f +47011,,Malawi,4.0,t +15944,100%,Vietnam,2.0,t +20308,100%,Guinea,5.0,t +262,97%,Maldives,16.0,t +22441,100%,,1.0,f +14525,,Russian Federation,2.0,t +1902,,Tonga,1.0,f +9245,,El Salvador,2.0,t +22989,,China,2.0,t +4954,,Christmas Island,2.0,f +262,97%,Maldives,16.0,t +17012,,Tonga,3.0,t +364,,,4.0,f +26879,100%,Niue,2.0,t +19809,,Chad,1.0,t +35310,100%,,2.0,t +29215,,Mexico,1.0,f +3823,,Gibraltar,1.0,f +26029,,Tonga,1.0,f +21395,100%,Costa Rica,1.0,t +44867,,Guinea,2.0,f +14514,,China,80.0,t +48691,,Russian Federation,1.0,t +35492,,,1.0,t +39115,,Uzbekistan,1.0,t +2296,,Saint Helena,1.0,t +31749,100%,Uganda,9.0,t +24917,100%,Uganda,11.0,t +24917,100%,Uganda,11.0,t +31749,100%,Uganda,9.0,t +24917,100%,Uganda,11.0,t +39639,100%,Niue,19.0,f +25259,,Barbados,1.0,t +29264,,,1.0,f +40611,,,1.0,f +25309,,Cape Verde,1.0,t +2309,,Bouvet Island (Bouvetoya),2.0,t +36120,88%,Tonga,4.0,t +19842,85%,Turkmenistan,53.0,f +29320,,,1.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +20087,100%,Isle of Man,1.0,t +4331,,Nauru,1.0,f +14880,,Nicaragua,1.0,f +11872,,,13.0,f +5552,,,1.0,t +12622,,,1.0,f +1812,,Uganda,1.0,t +36367,100%,Palestinian Territory,3.0,f +44048,,Indonesia,2.0,f +44048,,Indonesia,2.0,f +13301,100%,Togo,2.0,f +14738,,,1.0,t +14427,,Guernsey,1.0,f +33561,,Gibraltar,1.0,f +2349,,Malawi,1.0,f +25315,100%,Uganda,2.0,t +31083,100%,,3.0,f +25427,,Turkmenistan,1.0,t +31084,,,1.0,f +27806,100%,Malta,1.0,t +12912,,Lebanon,1.0,f +46691,90%,Uzbekistan,38.0,f +42735,,,1.0,t +46691,90%,Uzbekistan,38.0,f +14969,,Lebanon,1.0,t +2205,,Niue,1.0,f +24917,100%,Uganda,11.0,t +27448,,,1.0,f +34940,,Niger,1.0,t +19842,85%,Turkmenistan,53.0,f +46764,100%,Chile,3.0,t +48957,,Sao Tome and Principe,1.0,f +1845,,Honduras,2.0,t +22641,86%,Chad,1.0,t +37174,,Kenya,1.0,f +29430,0%,Philippines,3.0,f +31749,100%,Uganda,9.0,t +2927,100%,Uganda,10.0,t +24239,100%,Kiribati,8.0,t +5261,100%,Jersey,3.0,t +27615,,,1.0,t +38254,,Jersey,1.0,f +14391,100%,Guinea,1.0,f +32449,,Gambia,1.0,t +8163,,Kenya,3.0,f +4072,,Sao Tome and Principe,1.0,f +23884,,,1.0,t +49708,,Afghanistan,3.0,t +33949,80%,Marshall Islands,1.0,f +6784,100%,Lebanon,1.0,t +7326,100%,Kiribati,3.0,t +18688,100%,Chile,1.0,t +34387,100%,Malta,1.0,f +15302,100%,Bahrain,5.0,t +31749,100%,Uganda,9.0,t +15302,100%,Bahrain,5.0,t +16879,,Chile,2.0,t +11616,100%,Uzbekistan,12.0,t +24272,,Gambia,1.0,t +36371,100%,Kiribati,1.0,t +10552,100%,Togo,2.0,f +3816,100%,United Kingdom,1.0,t +17517,100%,Russian Federation,2.0,t +24239,100%,Kiribati,8.0,t +41729,100%,Zimbabwe,2.0,f +2753,75%,Monaco,1.0,t +10563,,Greenland,1.0,t +20573,,Sao Tome and Principe,1.0,t +8579,100%,Lithuania,2.0,f +30383,90%,Mauritania,6.0,t +12640,,Kenya,1.0,t +33100,100%,Monaco,1.0,t +23644,100%,Mauritania,4.0,t +12136,,Brazil,1.0,f +36319,75%,France,2.0,t +10431,,Finland,2.0,t +29799,,Maldives,1.0,f +27377,,Marshall Islands,1.0,f +23539,0%,Niue,1.0,f +35185,100%,Lebanon,2.0,t +4394,,,1.0,f +11488,90%,Slovakia (Slovak Republic),2.0,f +27334,100%,China,16.0,f +25541,,,1.0,f +33663,,,2.0,f +22140,,Chad,1.0,f +24794,,Russian Federation,2.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +2696,,Maldives,2.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +26596,60%,Jersey,2.0,t +5375,100%,,1.0,f +19842,85%,Turkmenistan,53.0,f +24239,100%,Kiribati,8.0,t +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +47382,,Uganda,1.0,f +18450,,,1.0,f +342,,,1.0,f +20115,86%,Isle of Man,2.0,t +45926,100%,,2.0,f +4823,100%,,1.0,t +40533,100%,Philippines,1.0,f +48047,,,1.0,t +45117,,Brazil,1.0,t +10819,100%,Mexico,6.0,f +12555,,Faroe Islands,1.0,t +16792,100%,Senegal,2.0,f +32483,,Niue,1.0,t +41878,91%,Maldives,47.0,f +15501,,,1.0,t +5261,100%,Jersey,3.0,t +21631,33%,Niue,1.0,f +9931,,Russian Federation,1.0,f +25019,,Malta,3.0,f +20553,83%,Barbados,4.0,f +7873,100%,Malta,1.0,f +28874,,Lebanon,1.0,t +35381,100%,,3.0,t +33310,,,1.0,f +16650,100%,Niue,1.0,t +38098,100%,Zimbabwe,7.0,t +15650,100%,Sao Tome and Principe,2.0,f +33073,100%,China,2.0,f +42456,,,1.0,f +28909,0%,,1.0,t +49896,,,2.0,f +17975,80%,,1.0,f +4553,,Malta,1.0,f +3141,,Monaco,1.0,t +47434,100%,Senegal,4.0,t +28801,,Sao Tome and Principe,1.0,t +6197,100%,Montserrat,1.0,t +12000,,Nicaragua,1.0,f +37353,,,2.0,t +37135,,Chad,1.0,t +37794,90%,Niue,1.0,f +5797,,Gambia,2.0,f +33385,100%,,1.0,f +22165,,Russian Federation,3.0,t +24209,,,1.0,f +1649,100%,Reunion,2.0,t +340,,Ghana,3.0,t +44133,,,1.0,t +30940,100%,Marshall Islands,2.0,t +6840,,Micronesia,2.0,f +39162,67%,Micronesia,2.0,f +37192,,El Salvador,1.0,t +13413,,Chile,3.0,t +40504,,,1.0,f +44343,,Bosnia and Herzegovina,2.0,t +45405,,Estonia,1.0,f +10811,,Gambia,1.0,f +21956,,,1.0,f +48543,100%,Micronesia,1.0,f +22139,,Chile,1.0,f +45332,,Croatia,2.0,f +32712,,Canada,1.0,f +37020,,Chile,1.0,t +40359,,Chile,2.0,t +49398,88%,Barbados,18.0,t +4911,,Kenya,1.0,t +44443,,Papua New Guinea,2.0,f +48631,,,1.0,t +44443,,Papua New Guinea,2.0,f +31749,100%,Uganda,9.0,t +7679,100%,Niger,4.0,t +32132,80%,Barbados,11.0,t +5261,100%,Jersey,3.0,t +38820,,Fiji,1.0,f +36844,,Slovenia,1.0,f +11715,,Costa Rica,5.0,f +26971,,,1.0,t +5079,,,1.0,f +15138,,Lebanon,2.0,t +33055,,Isle of Man,1.0,t +36717,100%,Guinea,3.0,t +13378,,,1.0,f +6466,100%,,2.0,f +34987,,Russian Federation,2.0,t +19947,100%,Gambia,2.0,t +36295,,,2.0,f +39970,100%,,2.0,f +28375,,Guinea,1.0,t +2095,,,2.0,t +39267,,Bouvet Island (Bouvetoya),1.0,f +34575,86%,Cape Verde,4.0,f +22918,,,1.0,f +511,,,1.0,t +15121,,Uzbekistan,1.0,f +359,,Gambia,1.0,t +46691,90%,Uzbekistan,38.0,f +27146,,Russian Federation,1.0,f +34390,,,1.0,f +48473,,,2.0,t +26058,0%,,1.0,f +47595,100%,Nauru,4.0,f +48134,,Nicaragua,1.0,f +32677,,Niue,1.0,f +25485,100%,Kiribati,1.0,f +29755,,Maldives,1.0,f +46130,,,2.0,f +29647,100%,Peru,1305.0,f +12037,,Chile,2.0,t +29647,100%,Peru,1305.0,f +48687,100%,Chad,1.0,t +14904,100%,Russian Federation,1.0,t +29647,100%,Peru,1305.0,f +9278,100%,Netherlands,10.0,f +8707,73%,Rwanda,21.0,t +29647,100%,Peru,1305.0,f +31749,100%,Uganda,9.0,t +19537,,Micronesia,1.0,t +24917,100%,Uganda,11.0,t +47531,100%,,2.0,f +34568,,El Salvador,1.0,f +41878,91%,Maldives,47.0,f +5092,,Russian Federation,1.0,t +31386,,Niger,1.0,t +11996,,,1.0,f +48305,100%,Guinea,2.0,t +31468,100%,,1.0,t +43383,100%,Cape Verde,3.0,t +49089,,Denmark,1.0,f +11688,,Afghanistan,1.0,f +13347,,,1.0,f +2915,100%,Philippines,1.0,t +9954,,,1.0,t +6986,,Micronesia,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +371,,Niger,2.0,f +48705,,Guernsey,1.0,f +29647,100%,Peru,1305.0,f +40643,,Croatia,1.0,f +13580,100%,,1.0,t +12724,,Brazil,1.0,f +45279,,Monaco,2.0,t +14338,,Zimbabwe,1.0,f +10948,100%,Denmark,3.0,f +7097,,Korea,1.0,f +24917,100%,Uganda,11.0,t +5861,,Malawi,1.0,t +26544,,Isle of Man,1.0,t +24586,,Kiribati,2.0,t +11821,,Guinea,1.0,f +34402,79%,Reunion,28.0,f +45523,100%,Russian Federation,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +2998,70%,France,4.0,t +14250,,Marshall Islands,3.0,t +16027,,Barbados,8.0,t +38811,,,1.0,t +40436,,Isle of Man,1.0,f +33669,100%,Malta,2.0,t +44143,100%,,1.0,f +6427,,,1.0,f +29005,100%,Peru,3.0,f +24015,,Turkmenistan,2.0,f +37704,96%,Fiji,26.0,f +16020,,Andorra,1.0,t +39555,100%,Marshall Islands,13.0,t +37704,96%,Fiji,26.0,f +20025,,Mauritania,1.0,t +37704,96%,Fiji,26.0,f +6693,,French Guiana,1.0,f +9015,100%,Malta,1.0,f +24243,,,2.0,t +35060,,Guinea,1.0,t +16544,,Guinea,1.0,t +17318,100%,Micronesia,1.0,t +25293,,,1.0,f +49558,100%,Malta,5.0,t +45279,,Monaco,2.0,t +14236,,Bosnia and Herzegovina,4.0,t +17158,,Afghanistan,1.0,t +21072,100%,Lebanon,2.0,t +12715,100%,Estonia,29.0,f +48502,100%,Nicaragua,11.0,t +48502,100%,Nicaragua,11.0,t +39957,,Monaco,1.0,t +3127,100%,Rwanda,36.0,f +44930,100%,Denmark,2.0,t +14144,,Guernsey,1.0,t +13447,,Cape Verde,1.0,t +47037,100%,Lithuania,1.0,t +41878,91%,Maldives,47.0,f +489,,,1.0,t +6279,,,1.0,t +1029,,Isle of Man,4.0,t +43084,,El Salvador,2.0,t +13599,100%,,2.0,t +12588,100%,Slovenia,3.0,f +8939,,Isle of Man,1.0,t +20302,100%,,1.0,t +27495,,,1.0,f +32350,,,2.0,f +49052,100%,,1.0,f +24026,98%,Cape Verde,69.0,t +46281,,Russian Federation,1.0,f +28098,100%,Afghanistan,6.0,t +43644,,Estonia,1.0,t +43657,,,1.0,f +20815,0%,,1.0,t +6959,95%,Slovakia (Slovak Republic),20.0,t +30285,60%,Micronesia,2.0,f +38175,,Gibraltar,1.0,f +28098,100%,Afghanistan,6.0,t +11727,,Togo,1.0,t +28098,100%,Afghanistan,6.0,t +17664,,,1.0,f +21139,,Guinea,1.0,t +50042,,Russian Federation,1.0,f +18534,,,2.0,t +4314,100%,Russian Federation,1.0,t +26637,,,1.0,f +340,,Ghana,3.0,t +15238,,Pakistan,1.0,f +12715,100%,Estonia,29.0,f +31510,75%,Kenya,2.0,t +718,100%,Uganda,3.0,t +33049,,,1.0,f +1011,97%,Russian Federation,8.0,t +20553,83%,Barbados,4.0,f +15080,100%,Venezuela,3.0,f +18088,100%,Marshall Islands,3.0,t +8487,,Russian Federation,1.0,t +43810,,,1.0,t +2237,0%,Jersey,1.0,f +3536,100%,France,1.0,t +47639,100%,France,2.0,f +10471,,Estonia,1.0,t +43077,,Chad,1.0,f +29708,100%,,1.0,t +24023,,France,1.0,t +30403,,Zimbabwe,1.0,t +20122,,Philippines,1.0,t +2666,,Niue,1.0,t +48233,100%,Togo,1.0,f +32521,100%,Montserrat,4.0,t +27119,94%,Nicaragua,10.0,t +10313,100%,Brazil,1.0,t +26026,100%,Saint Helena,3.0,f +10959,,,1.0,f +34446,,Cocos (Keeling) Islands,2.0,t +35222,,Uzbekistan,1.0,f +49347,,Niue,1.0,f +26654,,,1.0,f +44572,0%,Zimbabwe,1.0,f +25112,,Togo,4.0,f +47891,,Lebanon,1.0,t +38284,100%,Puerto Rico,4.0,t +5779,,Tonga,1.0,f +30215,,Nicaragua,2.0,t +8153,,Rwanda,1.0,t +48315,90%,Guernsey,1.0,t +2864,,Denmark,1.0,t +10532,,Holy See (Vatican City State),1.0,f +9194,100%,,1.0,t +41878,91%,Maldives,47.0,f +15134,,Uganda,1.0,f +7235,,Rwanda,1.0,t +41878,91%,Maldives,47.0,f +33149,,,1.0,t +49672,,,1.0,f +26862,100%,Chad,3.0,t +28262,,Guinea,2.0,t +29129,100%,Zimbabwe,1.0,f +28822,,Isle of Man,1.0,t +5958,100%,Faroe Islands,9.0,f +31924,100%,,2.0,f +39043,,Jersey,1.0,t +32100,,Chad,1.0,t +13190,100%,,4.0,t +19998,100%,,1.0,t +42222,100%,,1.0,f +48413,100%,Faroe Islands,1.0,t +13190,100%,,4.0,t +44482,100%,,1.0,t +41230,100%,Togo,2.0,f +31767,,Russian Federation,1.0,f +19890,,Somalia,1.0,f +19478,,Chile,1.0,t +40031,100%,Marshall Islands,1.0,t +31792,,,1.0,f +4690,,Bouvet Island (Bouvetoya),3.0,t +41781,,Guernsey,1.0,f +3811,,Micronesia,1.0,t +35805,,Guinea,1.0,f +12372,,,1.0,f +30676,,Pakistan,1.0,f +1628,100%,Niue,1.0,f +7298,75%,,1.0,t +16693,100%,Kenya,1.0,t +22475,100%,Marshall Islands,1.0,f +49398,88%,Barbados,18.0,t +2664,,Ghana,1.0,t +2714,100%,Bosnia and Herzegovina,8.0,f +25587,,,1.0,f +34896,,,1.0,f +7388,100%,,1.0,f +19902,,,1.0,t +13296,100%,Vietnam,1.0,t +6065,88%,,2.0,t +47696,,,1.0,f +4634,100%,Gibraltar,2.0,f +40686,,,1.0,f +16464,,Isle of Man,1.0,f +17566,,Vanuatu,1.0,t +24153,,Rwanda,1.0,t +20096,92%,,2.0,t +25906,,Uzbekistan,1.0,f +15669,,Sao Tome and Principe,6.0,t +49617,,Kiribati,1.0,t +38876,0%,,3.0,t +12899,50%,,1.0,t +32953,,,1.0,f +13408,91%,Indonesia,4.0,t +5425,100%,Russian Federation,2.0,t +44934,100%,Philippines,17.0,f +16100,,Bosnia and Herzegovina,1.0,t +23324,,Bosnia and Herzegovina,1.0,t +10981,,Malta,1.0,t +38341,,,2.0,t +16052,,Mexico,1.0,t +19800,,,1.0,t +11016,100%,Venezuela,1.0,f +18184,,,1.0,f +2034,,Lithuania,2.0,t +42763,,Estonia,1.0,f +47595,100%,Nauru,4.0,f +31154,,Brazil,1.0,t +40399,100%,,3.0,t +29978,89%,Uzbekistan,26.0,f +22369,,,1.0,t +660,,,1.0,f +31875,100%,Maldives,12.0,t +9964,,Afghanistan,2.0,t +5658,,,1.0,f +21190,100%,Uganda,3.0,f +38284,100%,Puerto Rico,4.0,t +37083,100%,,1.0,t +38284,100%,Puerto Rico,4.0,t +10252,,Lebanon,1.0,f +8053,,Philippines,1.0,t +4750,,Guernsey,1.0,f +12322,,Ghana,1.0,t +43366,,Gibraltar,1.0,t +39836,100%,Ecuador,2.0,t +591,100%,Niue,2.0,f +718,100%,Uganda,3.0,t +591,100%,Niue,2.0,f +24591,,,1.0,t +5117,33%,Chile,2.0,t +49211,,,1.0,f +43898,,Montserrat,1.0,f +6032,,,1.0,t +13237,,Isle of Man,1.0,f +9808,,Portugal,1.0,f +18610,,,1.0,f +5279,100%,Gambia,1.0,f +17683,100%,,2.0,t +24325,,,1.0,f +33107,,,1.0,t +13408,91%,Indonesia,4.0,t +35508,,,1.0,t +2667,100%,Niue,3.0,f +29260,,,1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +2591,,Lebanon,1.0,t +29884,100%,,3.0,f +14990,,,1.0,t +14477,100%,Reunion,26.0,t +9778,,Isle of Man,1.0,f +30619,100%,Djibouti,1.0,t +11124,100%,Sao Tome and Principe,3.0,f +21724,,Sao Tome and Principe,3.0,t +24026,98%,Cape Verde,69.0,t +39422,100%,Russian Federation,1.0,f +35470,,Indonesia,1.0,f +3400,,Holy See (Vatican City State),1.0,t +42559,,Gibraltar,2.0,t +18712,95%,Turks and Caicos Islands,11.0,t +29189,,,1.0,t +21991,100%,Djibouti,2.0,f +12324,,Maldives,1.0,t +4763,,Uruguay,2.0,f +20701,,Cook Islands,3.0,f +14875,100%,Tanzania,1.0,t +3513,,Uganda,2.0,t +36025,100%,Djibouti,6.0,t +35031,,Tanzania,1.0,f +15420,100%,Cape Verde,1.0,f +20701,,Cook Islands,3.0,f +49747,,,1.0,t +47508,,French Guiana,1.0,t +47233,100%,Saint Helena,3.0,t +6642,,Gambia,1.0,t +15374,100%,Russian Federation,1.0,t +24652,80%,,2.0,f +20830,,Zimbabwe,2.0,t +25684,,,1.0,f +8897,,,1.0,t +3893,,Isle of Man,1.0,t +20536,100%,Marshall Islands,3.0,t +20232,,Maldives,1.0,f +36234,97%,Fiji,12.0,t +11593,100%,Monaco,2.0,t +21505,100%,,1.0,t +8976,97%,Guinea,3.0,f +7911,,,1.0,t +46191,100%,Monaco,1.0,t +12923,,Lebanon,1.0,t +37588,,,1.0,t +32137,,,1.0,t +5247,46%,Estonia,3.0,t +10153,,,1.0,t +21412,,Czech Republic,2.0,t +11715,,Costa Rica,5.0,f +32837,100%,Togo,1.0,f +22101,,,1.0,f +13408,91%,Indonesia,4.0,t +3254,,Tonga,16.0,t +26361,100%,Vanuatu,3.0,f +6921,100%,,1.0,f +13844,,Brazil,1.0,f +40424,100%,Guernsey,1.0,f +13408,91%,Indonesia,4.0,t +22570,,,2.0,f +22570,,,2.0,f +37784,100%,Finland,2.0,t +789,,Mexico,2.0,t +33118,,Russian Federation,1.0,t +13185,,Philippines,1.0,f +18465,,Korea,1.0,t +38163,100%,Venezuela,3.0,f +36756,,Indonesia,2.0,t +7496,,,1.0,f +49280,,Turkmenistan,1.0,f +48002,,Tonga,2.0,t +11082,100%,Maldives,1.0,t +6930,,Guernsey,1.0,t +49962,,Isle of Man,2.0,f +11715,,Costa Rica,5.0,f +20277,,Tonga,2.0,f +16738,100%,Jersey,2.0,t +36366,,Lebanon,2.0,t +12314,,,1.0,f +26987,,Chad,1.0,f +47601,,,1.0,f +17679,100%,Togo,1.0,f +29921,100%,Turkmenistan,1.0,t +39310,,Faroe Islands,2.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +23280,,Sao Tome and Principe,1.0,t +43171,,,1.0,t +28760,100%,Indonesia,1.0,t +14769,100%,Kiribati,4.0,t +50081,,,1.0,t +37132,,,1.0,f +36402,,Lebanon,2.0,f +16174,100%,,1.0,t +31873,99%,Uzbekistan,22.0,f +19780,100%,,3.0,f +33300,,Marshall Islands,1.0,f +20054,,,1.0,f +32222,,Gambia,4.0,f +1460,,,1.0,f +33383,100%,,1.0,f +35592,,,1.0,f +23701,,,1.0,f +29382,100%,Ghana,4.0,f +7999,100%,,1.0,t +40593,,Nauru,10.0,t +9586,100%,Guinea,2.0,t +9482,100%,Malta,2.0,t +50010,0%,Denmark,1.0,t +34878,,Guinea,1.0,t +15483,100%,,2.0,f +18751,100%,Sao Tome and Principe,1.0,t +44643,,Turkmenistan,1.0,t +41823,,Guinea,1.0,f +33018,100%,,1.0,f +46390,,Mauritania,1.0,f +40741,,Saint Helena,1.0,t +49297,,Togo,1.0,f +34979,100%,Anguilla,4.0,f +21011,,Russian Federation,1.0,f +42136,100%,Vanuatu,2.0,t +8714,100%,,2.0,f +30012,100%,,1.0,t +8714,100%,,2.0,f +27746,,Anguilla,3.0,f +45679,,Russian Federation,1.0,f +37646,100%,Estonia,60.0,f +13677,,Lebanon,1.0,t +44974,,Nicaragua,1.0,f +38331,,Guernsey,1.0,t +29349,,Tonga,1.0,t +456,,Cocos (Keeling) Islands,1.0,t +43369,,Faroe Islands,1.0,t +1059,,Nauru,1.0,f +29857,,Somalia,1.0,f +33865,,,1.0,f +39646,,Brazil,2.0,t +49792,10%,Gambia,1.0,f +34096,100%,Andorra,10.0,f +16859,100%,Slovakia (Slovak Republic),1.0,t +36569,,Turkmenistan,1.0,t +35133,100%,France,1.0,f +9195,,Suriname,1.0,f +1404,,,1.0,f +48999,100%,Somalia,1.0,f +33025,,Tonga,1.0,f +25150,,Marshall Islands,1.0,t +25929,,,1.0,t +46935,90%,Costa Rica,2.0,t +22261,,,1.0,f +17860,,,1.0,t +28931,,Canada,1.0,t +11292,,,1.0,t +6141,,Maldives,2.0,t +33888,,Sao Tome and Principe,1.0,f +18127,100%,Marshall Islands,1.0,f +24026,98%,Cape Verde,69.0,t +8921,,,1.0,t +40421,96%,Jersey,29.0,t +20536,100%,Marshall Islands,3.0,t +16362,0%,Palestinian Territory,2.0,f +8707,73%,Rwanda,21.0,t +8707,73%,Rwanda,21.0,t +545,,Uganda,1.0,f +8707,73%,Rwanda,21.0,t +23917,,Guinea,1.0,f +8707,73%,Rwanda,21.0,t +24026,98%,Cape Verde,69.0,t +8707,73%,Rwanda,21.0,t +29035,,Nicaragua,2.0,f +4610,,Bouvet Island (Bouvetoya),1.0,t +18651,,,1.0,t +3486,,,1.0,t +17129,100%,Isle of Man,1.0,t +5491,100%,Malawi,3.0,t +46941,,,1.0,f +27189,,Micronesia,2.0,t +500,,,2.0,t +5491,100%,Malawi,3.0,t +12289,,,1.0,t +49980,,Monaco,1.0,t +19832,100%,Cocos (Keeling) Islands,1.0,f +29095,,Jersey,1.0,f +1029,,Isle of Man,4.0,t +4123,,Andorra,2.0,f +29391,100%,Niger,1.0,t +15066,,Russian Federation,1.0,t +40598,,French Polynesia,1.0,t +3638,100%,Lithuania,1.0,t +34307,,,1.0,t +11843,,,1.0,f +31741,,Guinea,1.0,f +28775,,Turks and Caicos Islands,1.0,f +707,,El Salvador,1.0,f +31716,100%,Venezuela,4.0,f +22098,80%,Marshall Islands,2.0,t +24805,,China,2.0,t +18912,100%,Gibraltar,1.0,f +3758,100%,Zimbabwe,1.0,f +16772,,Niue,2.0,t +13558,,,1.0,t +33968,,,1.0,f +19596,,Nicaragua,1.0,f +12188,,Niger,2.0,f +48931,,Maldives,1.0,f +22181,,Kenya,2.0,t +12100,,Bouvet Island (Bouvetoya),1.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +33466,100%,Greenland,1.0,t +29647,100%,Peru,1305.0,f +3734,,Chad,1.0,t +22794,50%,Cape Verde,36.0,t +16513,100%,Gambia,2.0,t +45457,,,1.0,t +37009,80%,Lebanon,3.0,t +6207,,Mauritania,1.0,t +16148,100%,Svalbard & Jan Mayen Islands,1.0,f +3115,83%,Slovakia (Slovak Republic),17.0,t +28188,100%,Nicaragua,4.0,t +24026,98%,Cape Verde,69.0,t +44388,,,1.0,t +14003,,Chile,1.0,f +19944,100%,Kiribati,12.0,f +23623,100%,Montserrat,11.0,t +14828,,Kiribati,1.0,t +10802,,Chad,1.0,t +35517,,Guinea,1.0,f +38916,,Uzbekistan,1.0,f +20656,,Bouvet Island (Bouvetoya),1.0,t +28366,,,1.0,t +6064,,Lebanon,1.0,t +20660,,Russian Federation,1.0,t +10639,100%,Mauritania,1.0,f +44695,,,1.0,t +9818,100%,,1.0,f +32976,,Turkmenistan,1.0,t +10629,,,1.0,t +18786,,Russian Federation,1.0,t +3606,,,1.0,f +36851,,Uganda,1.0,f +46503,,,1.0,t +37204,100%,,1.0,t +48482,,Chad,1.0,t +12323,,Sao Tome and Principe,1.0,t +11825,,Rwanda,3.0,f +11825,,Rwanda,3.0,f +16230,100%,Cuba,1.0,f +14765,,Russian Federation,1.0,t +48268,67%,Isle of Man,1.0,t +46038,,Vanuatu,1.0,t +38163,100%,Venezuela,3.0,f +19923,100%,,1.0,t +35613,,Svalbard & Jan Mayen Islands,1.0,f +25566,100%,Puerto Rico,1.0,t +34078,,Tanzania,1.0,t +39808,100%,,1.0,t +34137,,,1.0,f +36545,,Mexico,1.0,t +2453,100%,Uzbekistan,1.0,t +39870,,Slovakia (Slovak Republic),21.0,t +46463,,Cocos (Keeling) Islands,1.0,f +24289,,Costa Rica,1.0,f +35996,100%,Nauru,1.0,f +30326,,,1.0,t +2156,,,1.0,f +32301,100%,Saint Helena,1.0,t +2130,100%,Tonga,2.0,t +28138,,Mauritania,1.0,f +29440,,,1.0,t +44838,,Tonga,1.0,f +33093,,El Salvador,1.0,t +14580,,El Salvador,1.0,t +42405,67%,Indonesia,3.0,f +24101,71%,,2.0,f +24101,71%,,2.0,f +42419,,Bosnia and Herzegovina,1.0,f +15026,,Russian Federation,1.0,t +36006,100%,,2.0,f +20904,,Uzbekistan,1.0,t +25057,100%,,1.0,f +952,,Grenada,2.0,f +3438,100%,Estonia,2.0,t +3423,,Nauru,3.0,f +10485,100%,Togo,2.0,t +16929,100%,,1.0,t +30191,,,1.0,f +42250,100%,,2.0,t +19944,100%,Kiribati,12.0,f +21079,50%,Costa Rica,1.0,t +28753,100%,Lithuania,1.0,f +39771,100%,,8.0,f +43694,,,1.0,f +19601,100%,,1.0,t +49690,,China,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +7961,,,1.0,t +33179,100%,Rwanda,13.0,f +600,100%,Canada,1.0,t +25216,,France,2.0,t +31430,,Niger,1.0,f +27840,,Lithuania,1.0,t +32257,100%,Russian Federation,2.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +12734,100%,Malta,3.0,t +24026,98%,Cape Verde,69.0,t +3115,83%,Slovakia (Slovak Republic),17.0,t +44617,,,1.0,f +11814,100%,Micronesia,7.0,t +36573,,Sao Tome and Principe,1.0,f +25145,100%,Slovenia,1.0,t +34476,,Lebanon,1.0,f +17622,100%,Congo,2.0,t +26113,,Costa Rica,1.0,t +28617,100%,,1.0,t +32597,100%,,1.0,t +24177,,Venezuela,4.0,t +42541,,,1.0,t +16787,100%,Niue,2.0,f +36366,,Lebanon,2.0,t +18780,,Senegal,1.0,t +43452,,Guinea,1.0,f +10254,,Russian Federation,1.0,f +18621,,Marshall Islands,1.0,t +19958,100%,Congo,40.0,t +38126,100%,Guinea,2.0,f +30176,,Sao Tome and Principe,2.0,t +28945,,Kiribati,2.0,f +34879,,Afghanistan,1.0,f +24262,,Somalia,1.0,f +28680,,,1.0,f +47429,,,1.0,t +33720,100%,,2.0,f +21059,89%,,1.0,t +13742,90%,El Salvador,5.0,t +24652,80%,,2.0,f +28742,,,1.0,f +14250,,Marshall Islands,3.0,t +4820,100%,Lithuania,2.0,t +38750,,Russian Federation,1.0,t +5433,,Cape Verde,4.0,t +19958,100%,Congo,40.0,t +26204,,Guinea,1.0,f +30753,100%,Anguilla,2.0,t +34900,,,1.0,f +15944,100%,Vietnam,2.0,t +28600,100%,,1.0,t +186,100%,Chile,1.0,t +28819,92%,Montserrat,3.0,t +23005,100%,Anguilla,1.0,f +25550,100%,Nicaragua,8.0,t +31968,100%,Jersey,1.0,t +14475,,China,1.0,f +29311,,Venezuela,1.0,t +19581,100%,Russian Federation,1.0,f +29358,,French Guiana,1.0,t +40470,100%,Uganda,1.0,f +19554,,Lebanon,2.0,f +16181,100%,Tanzania,2.0,f +16125,,,2.0,t +19215,,,1.0,f +1669,100%,,1.0,f +25237,,Zimbabwe,1.0,t +41592,100%,Svalbard & Jan Mayen Islands,1.0,f +43670,,Monaco,2.0,f +24303,100%,Gambia,1.0,f +15139,,,1.0,f +5321,0%,Russian Federation,1.0,f +18967,100%,,1.0,t +1753,,,1.0,t +4814,,Russian Federation,1.0,t +41345,100%,Anguilla,1.0,t +26363,,,1.0,f +30510,,Russian Federation,1.0,f +43495,,Niue,1.0,f +38357,0%,,1.0,t +34435,,,1.0,t +44542,100%,Brazil,2.0,f +9639,,,1.0,f +45032,,Guinea,1.0,f +24705,,Sao Tome and Principe,1.0,t +29647,100%,Peru,1305.0,f +5762,,,1.0,t +19498,,Mexico,1.0,t +49398,88%,Barbados,18.0,t +29647,100%,Peru,1305.0,f +29219,,Senegal,1.0,f +29647,100%,Peru,1305.0,f +38126,100%,Guinea,2.0,f +17419,,Kiribati,1.0,f +39564,,,1.0,t +18484,100%,Gambia,108.0,f +43533,100%,,3.0,t +29647,100%,Peru,1305.0,f +28752,,Kenya,1.0,t +25496,,Barbados,1.0,f +44957,100%,Uzbekistan,8.0,t +49922,100%,Portugal,3.0,f +44957,100%,Uzbekistan,8.0,t +715,,,1.0,f +25836,,Tonga,2.0,t +19294,50%,Lebanon,2.0,f +10227,,,1.0,f +23349,,El Salvador,1.0,f +29736,100%,,1.0,t +11909,100%,Chile,1.0,t +224,100%,,1.0,t +28883,100%,,1.0,t +26420,,,1.0,f +30515,,Gibraltar,1.0,f +22951,,,1.0,t +47414,,Bosnia and Herzegovina,1.0,t +22022,,Bouvet Island (Bouvetoya),1.0,f +14111,,Palestinian Territory,1.0,t +30637,,,1.0,f +31197,,Kiribati,1.0,f +14343,100%,Bouvet Island (Bouvetoya),2.0,f +35111,,,1.0,t +25978,100%,France,1.0,f +30940,100%,Marshall Islands,2.0,t +39771,100%,,8.0,f +31329,,Christmas Island,2.0,t +47762,,Tonga,2.0,t +39771,100%,,8.0,f +39771,100%,,8.0,f +19575,100%,Nicaragua,1.0,t +39771,100%,,8.0,f +39771,100%,,8.0,f +39771,100%,,8.0,f +49157,,Uzbekistan,1.0,t +44469,,Niue,1.0,f +29807,100%,Brazil,2.0,t +32040,,,1.0,t +47473,100%,,1.0,t +29647,100%,Peru,1305.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +27201,,,1.0,f +23783,100%,Nicaragua,1.0,t +49792,10%,Gambia,1.0,f +43057,100%,Niue,1.0,t +14159,,Cocos (Keeling) Islands,1.0,f +1733,,Maldives,1.0,t +6769,,Svalbard & Jan Mayen Islands,1.0,t +48761,,,1.0,f +18829,100%,Indonesia,4.0,t +33366,100%,Puerto Rico,1.0,f +36253,100%,Nauru,21.0,t +36253,100%,Nauru,21.0,t +36253,100%,Nauru,21.0,t +373,100%,Nicaragua,2.0,t +25626,100%,Canada,2.0,f +373,100%,Nicaragua,2.0,t +47681,,Ecuador,1.0,t +7350,,,2.0,t +14536,13%,Netherlands,1.0,f +32864,,Cape Verde,1.0,f +2920,100%,Togo,1.0,f +7813,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20415,,Turks and Caicos Islands,1.0,t +7762,,,1.0,f +29647,100%,Peru,1305.0,f +7155,,,1.0,t +25013,,Tonga,1.0,t +39876,100%,Cuba,3.0,f +47762,,Tonga,2.0,t +19973,,Guinea,1.0,f +43152,100%,Nicaragua,82.0,t +49769,,El Salvador,1.0,t +37594,100%,Russian Federation,1.0,f +30803,,Tonga,1.0,t +22331,99%,Rwanda,50.0,t +30098,100%,Croatia,1.0,t +33021,,,1.0,t +27790,,,1.0,f +4074,50%,Isle of Man,17.0,f +17601,,France,2.0,f +4074,50%,Isle of Man,17.0,f +43204,100%,,1.0,f +43914,100%,,3.0,t +4229,,Lebanon,1.0,f +7505,,,1.0,t +48854,,Kiribati,3.0,f +49015,,Lebanon,1.0,t +38458,100%,Montserrat,6.0,t +46405,100%,Vietnam,8.0,t +39126,100%,Guinea,9.0,f +33742,100%,Montserrat,1.0,f +36641,100%,Vietnam,5.0,f +43195,90%,Wallis and Futuna,2.0,f +2034,,Lithuania,2.0,t +43652,,Nicaragua,1.0,t +19943,63%,Isle of Man,34.0,f +10602,100%,Niger,1.0,t +29647,100%,Peru,1305.0,f +66,100%,French Guiana,1.0,t +8953,90%,Micronesia,7.0,t +12605,,Russian Federation,1.0,t +38458,100%,Montserrat,6.0,t +18683,,Finland,1.0,t +17428,,Sao Tome and Principe,1.0,f +18712,95%,Turks and Caicos Islands,11.0,t +19138,,Russian Federation,1.0,f +39473,100%,Rwanda,1.0,t +11872,,,13.0,f +27814,100%,Barbados,2.0,t +15221,,,1.0,f +12715,100%,Estonia,29.0,f +23222,,,1.0,t +32883,,French Polynesia,1.0,f +25931,100%,,1.0,t +21533,100%,Uganda,1.0,t +23765,,,1.0,f +1151,100%,Jersey,1.0,t +18799,,Tanzania,1.0,f +46307,100%,Zimbabwe,3.0,f +41993,100%,Gambia,3.0,t +41993,100%,Gambia,3.0,t +20510,75%,Marshall Islands,1.0,t +49048,100%,Russian Federation,1.0,t +27675,,Rwanda,1.0,t +35490,,,1.0,f +995,83%,Malta,2.0,f +14027,100%,Gambia,3.0,f +27036,100%,Marshall Islands,1.0,t +46603,,,1.0,f +32865,,Svalbard & Jan Mayen Islands,1.0,f +23943,100%,Nicaragua,2.0,t +6209,80%,Nicaragua,9.0,t +21619,,,1.0,t +20651,,Sao Tome and Principe,2.0,f +6849,,,1.0,f +4432,100%,Wallis and Futuna,18.0,f +4432,100%,Wallis and Futuna,18.0,f +45223,0%,Vanuatu,1.0,f +45722,100%,,1.0,t +4432,100%,Wallis and Futuna,18.0,f +4432,100%,Wallis and Futuna,18.0,f +35359,,,1.0,t +9255,,Vietnam,10.0,f +37329,,Mauritania,1.0,t +14044,,Chad,2.0,f +42462,100%,,1.0,t +35149,100%,,1.0,t +42975,,Philippines,1.0,f +12056,,Turkmenistan,1.0,t +23028,100%,,1.0,t +25367,,Sao Tome and Principe,1.0,t +2170,100%,,2.0,t +27998,100%,Rwanda,1.0,f +44252,100%,,2.0,t +34028,100%,Brazil,2.0,t +42642,,,1.0,f +32416,100%,,1.0,t +1102,,United Kingdom,2.0,t +22341,,Micronesia,1.0,f +14715,,Rwanda,1.0,f +49597,,Bahrain,1.0,t +1798,,Faroe Islands,2.0,t +36070,,,1.0,f +8239,,Chad,1.0,f +36049,,Isle of Man,3.0,f +27611,,Brazil,1.0,f +35556,,,1.0,t +25514,100%,,3.0,t +28945,,Kiribati,2.0,f +37827,,Chile,2.0,t +45136,,,1.0,t +48536,100%,,1.0,f +32158,,Faroe Islands,1.0,f +37454,100%,,2.0,f +4041,,Russian Federation,1.0,f +48314,,French Guiana,1.0,t +24676,,Guinea,1.0,f +43142,100%,Uzbekistan,3.0,t +2053,,,1.0,t +1661,100%,Guinea,1.0,t +46511,100%,Holy See (Vatican City State),2.0,f +11310,100%,Congo,4.0,t +37317,,Isle of Man,1.0,f +19750,,Niger,1.0,f +31954,,Niue,1.0,f +3254,,Tonga,16.0,t +3254,,Tonga,16.0,t +49575,,Estonia,1.0,f +6284,,,1.0,f +5272,100%,Mexico,1.0,t +4432,100%,Wallis and Futuna,18.0,f +4432,100%,Wallis and Futuna,18.0,f +4432,100%,Wallis and Futuna,18.0,f +37142,,,1.0,t +43476,100%,Gibraltar,2.0,t +43476,100%,Gibraltar,2.0,t +1350,,,1.0,t +18419,100%,,7.0,t +47284,25%,,1.0,f +19686,,Lebanon,1.0,t +39735,,Zimbabwe,2.0,t +47422,99%,Uzbekistan,30.0,f +33145,,,1.0,f +28116,,Papua New Guinea,2.0,f +48522,,,1.0,f +31997,,Kiribati,2.0,t +34182,100%,Bahrain,1.0,f +21892,100%,Micronesia,1.0,f +13221,0%,Faroe Islands,2.0,f +13221,0%,Faroe Islands,2.0,f +23632,,,1.0,f +36063,,Tonga,1.0,t +41095,100%,Monaco,1.0,f +16209,80%,Ecuador,3.0,f +7380,,Sao Tome and Principe,1.0,f +34955,43%,Russian Federation,1.0,t +32638,,Niue,1.0,f +34779,,Canada,1.0,f +41797,,,2.0,t +41797,,,2.0,t +29855,,,1.0,t +8465,,Kiribati,1.0,f +31744,100%,Afghanistan,1.0,t +20102,100%,,1.0,t +25598,100%,,1.0,f +9317,,,2.0,t +947,,Nicaragua,1.0,t +4032,80%,,1.0,t +23876,,Malta,3.0,t +23876,,Malta,3.0,t +6683,0%,Mauritania,1.0,t +8337,,,1.0,t +44989,100%,Mauritania,8.0,t +26780,100%,Guinea,7.0,f +41677,0%,,1.0,t +40071,,French Guiana,1.0,t +14649,,Djibouti,1.0,f +19091,95%,Cook Islands,18.0,t +22297,100%,Guernsey,1.0,t +612,,,1.0,t +12358,,Lebanon,1.0,t +45306,89%,Rwanda,7.0,t +19650,,Slovakia (Slovak Republic),1.0,f +281,,Chad,1.0,f +17601,,France,2.0,f +36114,100%,Guinea,4.0,t +14428,,,1.0,t +14104,100%,France,1.0,f +3820,,,1.0,f +45110,,Nicaragua,1.0,f +16952,,Sao Tome and Principe,1.0,t +34082,100%,,1.0,f +5871,,Tonga,1.0,t +11057,100%,,1.0,t +13798,100%,France,2.0,t +17006,,,2.0,t +31855,100%,Kenya,2.0,t +20127,,France,1.0,f +39956,,Monaco,2.0,t +36161,,China,1.0,f +20897,0%,Mauritania,1.0,t +17471,,,1.0,t +45079,75%,Tonga,1.0,t +3681,100%,Rwanda,1.0,f +29810,,,1.0,t +45198,,Sao Tome and Principe,1.0,t +16089,83%,Maldives,5.0,f +10250,,Afghanistan,1.0,t +14292,,Rwanda,1.0,t +8847,,Anguilla,1.0,t +35052,100%,Marshall Islands,1.0,t +24917,100%,Uganda,11.0,t +11464,100%,Papua New Guinea,11.0,f +16706,100%,France,1.0,t +4971,,Niger,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +16239,,Sao Tome and Principe,1.0,t +31266,75%,Nauru,2.0,t +21055,100%,,2.0,t +26498,100%,Russian Federation,3.0,f +38407,100%,Guernsey,2.0,t +47178,,Chile,1.0,f +24561,,Ghana,1.0,f +30204,,Guernsey,1.0,t +17340,,Tonga,1.0,t +25647,,,2.0,t +3306,,Lebanon,1.0,t +31854,100%,,2.0,f +15962,,Maldives,1.0,t +5403,,,1.0,f +3169,,,1.0,f +790,100%,Monaco,1.0,t +30711,,Micronesia,1.0,f +223,,Russian Federation,1.0,t +5329,,Palestinian Territory,1.0,f +20696,100%,,1.0,f +28116,,Papua New Guinea,2.0,f +21002,,Croatia,1.0,f +48218,100%,Lebanon,1.0,t +6928,,,3.0,t +13528,100%,Kiribati,2.0,f +36253,100%,Nauru,21.0,t +36253,100%,Nauru,21.0,t +46511,100%,Holy See (Vatican City State),2.0,f +26159,100%,Turkmenistan,1.0,t +48055,,Philippines,1.0,f +49454,,Uzbekistan,2.0,t +20460,,,1.0,t +3768,,,1.0,f +39905,100%,Bosnia and Herzegovina,3.0,f +37946,,Malta,1.0,f +2170,100%,,2.0,t +46379,100%,,2.0,f +14461,,Uganda,1.0,f +33530,,,1.0,f +10141,,,1.0,f +18885,70%,El Salvador,7.0,t +12812,99%,Croatia,32.0,f +28304,100%,,1.0,t +37950,,Anguilla,1.0,t +23898,,Isle of Man,1.0,f +28202,100%,,2.0,t +32431,,Russian Federation,1.0,t +7631,50%,Croatia,1.0,f +32044,70%,,3.0,f +31451,,Turks and Caicos Islands,4.0,f +43806,,Brunei Darussalam,1.0,t +42093,100%,Micronesia,2.0,f +48746,100%,Uganda,5.0,f +570,100%,Niue,1.0,t +35876,,Suriname,1.0,f +31030,,Tunisia,2.0,f +9278,100%,Netherlands,10.0,f +6617,60%,,1.0,t +41458,,Wallis and Futuna,1.0,t +7096,100%,Niue,4.0,t +25887,,Uzbekistan,1.0,t +14464,,Lebanon,2.0,f +16354,100%,Hong Kong,4.0,f +2126,,Venezuela,1.0,f +26498,100%,Russian Federation,3.0,f +10849,,,1.0,f +18502,,Lebanon,1.0,t +46660,,China,1.0,t +37521,,Uganda,1.0,t +1827,100%,Uzbekistan,3.0,t +41993,100%,Gambia,3.0,t +42386,100%,Ecuador,6.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +40674,100%,Maldives,3.0,f +45708,75%,French Guiana,1.0,t +46187,100%,Gibraltar,2.0,f +3476,100%,Wallis and Futuna,1.0,f +40674,100%,Maldives,3.0,f +14499,,Monaco,3.0,f +41324,89%,Slovakia (Slovak Republic),2.0,t +22530,100%,Uzbekistan,3.0,f +22177,100%,,1.0,t +42808,,Mexico,1.0,f +134,,,1.0,t +12853,,Rwanda,4.0,t +2143,,France,2.0,t +35726,100%,,1.0,t +31481,,France,1.0,f +25275,100%,Micronesia,1.0,t +33035,,Gibraltar,1.0,t +34855,,,1.0,t +47580,90%,Micronesia,2.0,t +12768,,Faroe Islands,1.0,f +20477,,Micronesia,1.0,t +48150,100%,,2.0,t +22890,100%,Niue,1.0,t +40218,100%,Estonia,6.0,f +14429,,France,1.0,t +37391,,,1.0,f +5454,,Zimbabwe,1.0,f +3608,90%,Somalia,1.0,f +22003,100%,Sao Tome and Principe,1.0,t +14394,70%,,2.0,t +31451,,Turks and Caicos Islands,4.0,f +47628,100%,El Salvador,2.0,t +35079,100%,,1.0,t +11263,,,1.0,f +31451,,Turks and Caicos Islands,4.0,f +23653,,,1.0,f +1273,100%,Lithuania,3.0,f +40938,,Tunisia,1.0,t +29639,100%,,1.0,t +40415,,Monaco,1.0,f +14178,,France,1.0,t +29234,100%,Togo,9.0,t +8980,,Mauritania,1.0,t +10569,,,1.0,t +13098,100%,Maldives,1.0,f +16632,100%,Kiribati,1.0,t +29741,,Turkmenistan,1.0,f +12180,100%,Kenya,2.0,t +49053,94%,Indonesia,4.0,t +41313,100%,Denmark,10.0,t +49774,,Russian Federation,1.0,t +8532,,United Kingdom,1.0,f +38260,,Russian Federation,1.0,t +7272,,Jersey,1.0,f +39821,,,1.0,t +4432,100%,Wallis and Futuna,18.0,f +29323,100%,Guinea,3.0,f +16408,,Zimbabwe,1.0,t +10428,,Isle of Man,3.0,f +21494,,Christmas Island,1.0,f +33092,,Andorra,1.0,t +1568,,Costa Rica,1.0,t +37454,100%,,2.0,f +12895,,Bosnia and Herzegovina,1.0,f +29323,100%,Guinea,3.0,f +997,,Niger,1.0,t +45573,,Cocos (Keeling) Islands,1.0,f +17186,,China,2.0,f +49922,100%,Portugal,3.0,f +29323,100%,Guinea,3.0,f +20387,100%,Malta,12.0,t +29250,,,1.0,f +23593,,,1.0,t +7437,,Niue,1.0,t +1606,,Sao Tome and Principe,1.0,t +45686,,Marshall Islands,1.0,t +4848,,Croatia,1.0,f +21762,67%,Isle of Man,1.0,f +39844,89%,Lebanon,2.0,t +2608,100%,Bahrain,4.0,t +6179,,Faroe Islands,1.0,f +2608,100%,Bahrain,4.0,t +2608,100%,Bahrain,4.0,t +25413,,Svalbard & Jan Mayen Islands,1.0,t +45920,100%,Pakistan,1.0,t +23825,,Chad,1.0,f +12812,99%,Croatia,32.0,f +28120,90%,,1.0,t +12553,,,1.0,f +23022,67%,Niue,10.0,t +24007,100%,Uganda,4.0,t +19943,63%,Isle of Man,34.0,f +12986,,Uzbekistan,1.0,t +46001,,French Guiana,1.0,t +30946,,Denmark,1.0,f +37962,100%,Gibraltar,1.0,t +174,100%,Denmark,1.0,f +22812,,Chile,1.0,t +22968,100%,Micronesia,1.0,t +23932,69%,Montserrat,6.0,f +6086,100%,El Salvador,1.0,t +32911,,China,1.0,t +27364,,Zimbabwe,1.0,t +9231,,Palestinian Territory,1.0,t +1250,,Mauritania,1.0,f +29497,100%,,1.0,f +16160,,,4.0,t +30561,,Reunion,1.0,f +48455,89%,Uzbekistan,20.0,t +7972,100%,Uzbekistan,2.0,t +26508,,French Guiana,1.0,f +18627,,Cuba,1.0,t +48008,,,1.0,t +20650,100%,Uzbekistan,3.0,t +41741,100%,Brazil,9.0,t +6368,,,1.0,f +11768,,,1.0,t +26609,,Bahrain,1.0,f +38783,,,1.0,t +3571,100%,Bouvet Island (Bouvetoya),3.0,t +33814,,Faroe Islands,9.0,f +4432,100%,Wallis and Futuna,18.0,f +26736,,Tonga,1.0,t +1287,,Canada,1.0,t +32267,100%,,1.0,t +19944,100%,Kiribati,12.0,f +7459,,,1.0,t +49151,90%,,2.0,f +37646,100%,Estonia,60.0,f +14100,,,1.0,f +37646,100%,Estonia,60.0,f +49177,,Anguilla,2.0,t +29176,,,1.0,f +18469,,,1.0,t +38007,,Micronesia,2.0,f +39339,,Guernsey,1.0,t +4156,,,1.0,f +38664,,Nicaragua,1.0,f +29470,100%,Slovakia (Slovak Republic),2.0,f +18583,,French Guiana,1.0,t +42390,100%,Wallis and Futuna,96.0,t +37405,,Bosnia and Herzegovina,2.0,f +22344,,Niue,1.0,f +43809,,Niue,1.0,t +20334,99%,Niger,171.0,t +19678,90%,Cocos (Keeling) Islands,1.0,t +49572,,Lebanon,2.0,f +36895,,Jersey,1.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +31610,90%,Kiribati,1.0,f +31030,,Tunisia,2.0,f +42390,100%,Wallis and Futuna,96.0,t +11567,100%,Niger,31.0,t +25210,,Russian Federation,2.0,f +42914,100%,Cocos (Keeling) Islands,2.0,f +42390,100%,Wallis and Futuna,96.0,t +4058,,Isle of Man,1.0,t +3203,100%,Uzbekistan,8.0,f +3203,100%,Uzbekistan,8.0,f +13846,,Grenada,1.0,f +3203,100%,Uzbekistan,8.0,f +16236,,Kenya,2.0,f +45132,90%,Cook Islands,3.0,t +48538,,,1.0,t +17844,100%,,3.0,t +9255,,Vietnam,10.0,f +7937,100%,Senegal,2.0,t +4155,,Philippines,1.0,t +3616,100%,Cape Verde,14.0,t +2477,,Faroe Islands,2.0,t +41154,,,1.0,f +8352,0%,,1.0,f +39844,89%,Lebanon,2.0,t +28790,,Gambia,2.0,f +40155,100%,Tonga,4.0,f +45358,100%,Micronesia,3.0,t +26103,100%,,1.0,t +38354,100%,Niue,3.0,f +9546,,,1.0,f +42390,100%,Wallis and Futuna,96.0,t +7710,100%,French Guiana,1.0,t +47418,100%,Sao Tome and Principe,1.0,f +19748,100%,Maldives,3.0,f +47738,100%,,1.0,f +36278,100%,Central African Republic,2.0,f +50074,100%,Montserrat,8.0,f +27648,50%,,1.0,t +10106,,,1.0,f +15178,,United Kingdom,1.0,f +21476,100%,,1.0,t +37265,,Niue,2.0,t +9667,,Gibraltar,1.0,f +21517,100%,Malta,2.0,t +3862,,,2.0,t +38528,,Mauritania,2.0,t +38528,,Mauritania,2.0,t +4398,,Faroe Islands,1.0,f +24017,,,1.0,f +9853,,France,1.0,f +13360,100%,,1.0,f +28398,100%,El Salvador,7.0,t +8461,88%,Guinea,1.0,f +43696,,Bouvet Island (Bouvetoya),1.0,f +34402,79%,Reunion,28.0,f +22331,99%,Rwanda,50.0,t +43477,,Russian Federation,1.0,t +46506,,,1.0,t +31679,,,1.0,t +14184,,France,1.0,f +39263,100%,Rwanda,2.0,t +47530,,,1.0,t +45195,100%,,2.0,f +12419,,Turkmenistan,1.0,t +26769,,Philippines,2.0,t +4400,,Reunion,1.0,t +42424,100%,Congo,3.0,t +21362,,Isle of Man,1.0,t +11081,,Faroe Islands,2.0,f +45506,,Gambia,2.0,t +35195,,Faroe Islands,4.0,t +12475,100%,,1.0,t +35820,100%,Turkmenistan,2.0,t +21256,,Russian Federation,1.0,t +45506,,Gambia,2.0,t +33591,,Reunion,1.0,f +37218,100%,Slovakia (Slovak Republic),4.0,t +4246,100%,Gibraltar,2.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +11906,,Guinea,1.0,f +22958,,,1.0,t +9004,,,1.0,f +20088,,Monaco,2.0,f +21905,,Uzbekistan,2.0,t +20088,,Monaco,2.0,f +31825,,,1.0,f +25387,90%,,1.0,t +12360,,Gambia,1.0,f +9170,100%,,1.0,t +37698,,Kenya,2.0,f +492,100%,Gibraltar,1.0,t +15105,,,1.0,f +4809,,Anguilla,1.0,f +27199,88%,Turkmenistan,2.0,f +40265,,,2.0,f +12153,,Uruguay,1.0,t +34036,,Turks and Caicos Islands,1.0,t +37405,,Bosnia and Herzegovina,2.0,f +24908,,,1.0,t +37261,,Faroe Islands,1.0,f +12457,,Turks and Caicos Islands,1.0,f +40265,,,2.0,f +30938,100%,,1.0,f +49598,,Switzerland,4.0,t +20034,,Estonia,2.0,t +47054,,Brunei Darussalam,6.0,f +43861,,,1.0,t +45613,100%,,1.0,t +20655,,,1.0,f +41324,89%,Slovakia (Slovak Republic),2.0,t +29624,100%,,1.0,t +41904,67%,Uzbekistan,5.0,t +36234,97%,Fiji,12.0,t +43223,,Malta,2.0,f +38746,99%,Vietnam,13.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +44536,29%,,1.0,t +13816,,Lebanon,1.0,f +1817,,Lithuania,1.0,f +47693,,Bosnia and Herzegovina,2.0,t +45547,100%,,2.0,f +7096,100%,Niue,4.0,t +28828,100%,Isle of Man,198.0,t +49492,100%,Jersey,1.0,t +22565,90%,Guinea,2.0,t +8707,73%,Rwanda,21.0,t +44853,100%,Lebanon,2.0,f +19947,100%,Gambia,2.0,t +41428,100%,,1.0,f +15460,100%,Monaco,1.0,t +12170,100%,,1.0,t +49748,100%,Bosnia and Herzegovina,1.0,t +43023,,Maldives,1.0,t +12150,,Croatia,1.0,f +37529,,Tonga,1.0,f +5111,90%,,1.0,t +37191,100%,Guinea,3.0,t +1693,100%,Russian Federation,1.0,f +11086,,Philippines,1.0,t +25620,,Bosnia and Herzegovina,1.0,f +37191,100%,Guinea,3.0,t +41441,75%,Nauru,2.0,t +24811,100%,Russian Federation,2.0,t +39080,100%,Russian Federation,1.0,t +33557,90%,Netherlands,2.0,t +33612,100%,Marshall Islands,1.0,t +21603,,Mauritania,1.0,t +26321,100%,Faroe Islands,2.0,t +13456,,Nauru,2.0,t +32230,,Zimbabwe,1.0,t +24668,,Sao Tome and Principe,1.0,f +29251,,Sao Tome and Principe,1.0,f +3625,90%,Marshall Islands,2.0,t +3541,,Gibraltar,1.0,f +26187,,,1.0,t +31643,,France,1.0,f +31410,,Togo,1.0,t +24268,,Greenland,5.0,f +34118,100%,Micronesia,2.0,t +8042,100%,Micronesia,1.0,t +39213,,Tonga,1.0,t +34924,100%,Sao Tome and Principe,1.0,t +48706,,Monaco,1.0,t +12338,,,1.0,f +30530,100%,Jersey,1.0,t +6536,100%,Malta,3.0,t +34329,,,1.0,t +10406,,Mauritania,1.0,t +21604,40%,,1.0,t +20165,94%,Ukraine,30.0,f +27119,94%,Nicaragua,10.0,t +17950,,,1.0,t +36267,,,1.0,t +9036,,,1.0,t +354,100%,,2.0,t +31997,,Kiribati,2.0,t +13456,,Nauru,2.0,t +39802,,El Salvador,1.0,f +45290,,,1.0,f +34490,,Turkmenistan,1.0,t +37732,,,1.0,f +28492,,,1.0,f +15261,,,1.0,f +30979,100%,,1.0,t +23986,100%,,1.0,f +5876,,,1.0,f +28328,100%,,1.0,t +28828,100%,Isle of Man,198.0,t +41660,,Isle of Man,1.0,f +7829,100%,,2.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +21862,100%,Chad,1.0,f +19091,95%,Cook Islands,18.0,t +25207,100%,,9.0,t +11930,100%,Russian Federation,1.0,t +25780,100%,United Kingdom,2.0,t +17578,,Vietnam,2.0,t +48027,,,1.0,t +2766,100%,United Kingdom,4.0,f +8238,91%,Barbados,15.0,t +40439,,Gibraltar,1.0,t +29402,50%,Canada,1.0,f +10488,100%,Niger,17.0,t +30723,,Bouvet Island (Bouvetoya),1.0,f +15076,,Niue,1.0,t +28828,100%,Isle of Man,198.0,t +35333,100%,,1.0,t +35618,,Chad,1.0,f +23821,,Maldives,2.0,t +46289,100%,Bouvet Island (Bouvetoya),5.0,f +5637,,,1.0,t +19114,,French Guiana,1.0,t +3391,100%,Iran,58.0,t +33045,,Bahrain,1.0,f +42027,,Isle of Man,1.0,f +4165,100%,Niue,2.0,t +33536,,,1.0,f +25216,,France,2.0,t +35515,,Christmas Island,2.0,t +33780,,Guinea,1.0,f +31831,100%,,2.0,t +25965,,Russian Federation,1.0,f +17091,,Guernsey,1.0,f +42051,100%,Nicaragua,11.0,t +42051,100%,Nicaragua,11.0,t +43221,,,1.0,f +45306,89%,Rwanda,7.0,t +20060,,Guernsey,5.0,t +45197,,Christmas Island,1.0,f +34402,79%,Reunion,28.0,f +8756,,Maldives,1.0,t +37535,,,1.0,f +20341,,,1.0,f +26275,,Montserrat,1.0,f +4074,50%,Isle of Man,17.0,f +15755,100%,Tonga,2.0,t +39434,90%,Monaco,1.0,f +23209,100%,Peru,1.0,f +41533,,Bouvet Island (Bouvetoya),1.0,f +11305,,,23.0,f +11305,,,23.0,f +17186,,China,2.0,f +34101,,Afghanistan,1.0,t +27688,,Rwanda,1.0,f +16939,,Senegal,11.0,t +23265,70%,,2.0,f +4531,,Lithuania,1.0,t +49702,100%,Faroe Islands,1.0,t +13888,100%,Lebanon,2.0,t +29292,100%,Malta,3.0,t +48556,100%,Zimbabwe,1.0,f +14514,,China,80.0,t +9916,100%,Niger,4.0,f +17857,100%,Denmark,2.0,f +9944,100%,Nicaragua,1.0,t +2660,,Uzbekistan,2.0,f +15841,100%,Faroe Islands,2.0,t +9916,100%,Niger,4.0,f +32274,,,1.0,f +10834,,,1.0,f +21879,,Sao Tome and Principe,1.0,f +22959,100%,Niue,1.0,t +34484,,Isle of Man,1.0,f +13817,,,1.0,f +27768,65%,Kiribati,15.0,t +624,100%,Barbados,4.0,f +46875,100%,,1.0,t +18048,,Micronesia,1.0,f +1370,100%,Isle of Man,1.0,t +8838,100%,Zimbabwe,1.0,f +29789,,,1.0,f +32189,100%,Marshall Islands,1.0,t +40633,100%,Guinea,2.0,t +27299,,,1.0,t +21116,,,1.0,f +50012,,Mauritania,1.0,t +12189,,Mauritania,1.0,f +12082,100%,,3.0,t +29647,100%,Peru,1305.0,f +42390,100%,Wallis and Futuna,96.0,t +28082,100%,Turkmenistan,2.0,t +18717,100%,,1.0,t +19966,,Svalbard & Jan Mayen Islands,1.0,f +42390,100%,Wallis and Futuna,96.0,t +40421,96%,Jersey,29.0,t +37525,100%,,2.0,f +37583,,Svalbard & Jan Mayen Islands,2.0,t +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +18642,,Chad,1.0,t +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +25575,,Costa Rica,1.0,t +42390,100%,Wallis and Futuna,96.0,t +27896,100%,Marshall Islands,2.0,t +44735,100%,,1.0,t +2705,,Maldives,1.0,t +12137,99%,Sao Tome and Principe,33.0,t +6904,100%,,1.0,t +28425,100%,Guinea,3.0,t +39337,,Anguilla,1.0,t +36563,,Rwanda,2.0,f +17773,100%,Anguilla,2.0,t +30667,,,1.0,f +43453,,United Kingdom,1.0,t +17773,100%,Anguilla,2.0,t +9135,,,1.0,t +27198,,Jersey,1.0,t +25968,100%,,1.0,f +33804,100%,Marshall Islands,1.0,t +4862,0%,Zimbabwe,1.0,f +22026,,,1.0,t +44426,100%,Wallis and Futuna,2.0,t +175,100%,Mauritania,1.0,t +32522,,,1.0,f +19161,,,1.0,t +28409,,Bosnia and Herzegovina,1.0,f +38460,,Indonesia,1.0,f +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +29939,,Lebanon,2.0,f +37426,100%,Zimbabwe,3.0,t +29524,100%,Sao Tome and Principe,1.0,f +42556,,Kenya,1.0,f +36082,,Tonga,1.0,f +8884,67%,China,3.0,f +1692,100%,Jersey,15.0,t +3520,,,1.0,t +29647,100%,Peru,1305.0,f +42390,100%,Wallis and Futuna,96.0,t +29647,100%,Peru,1305.0,f +25260,,Russian Federation,1.0,t +10421,,Guernsey,1.0,t +27991,,Guinea,1.0,f +29647,100%,Peru,1305.0,f +11757,,Nauru,1.0,t +42390,100%,Wallis and Futuna,96.0,t +29647,100%,Peru,1305.0,f +24694,,Sao Tome and Principe,1.0,f +14769,100%,Kiribati,4.0,t +43297,,Vanuatu,1.0,f +31262,,,1.0,f +1718,,,1.0,f +23007,100%,Tanzania,1.0,t +1578,,French Guiana,1.0,f +20858,,Chad,1.0,f +45658,,,1.0,f +38009,,Nicaragua,1.0,t +14077,,Marshall Islands,1.0,f +40205,67%,,1.0,f +10423,,,1.0,f +48369,100%,,1.0,f +49026,,Russian Federation,1.0,t +31345,,Brazil,1.0,t +8865,,China,1.0,f +10859,75%,,1.0,f +8333,,,1.0,t +4168,,Monaco,2.0,t +1197,,Guinea,1.0,t +46347,,Somalia,6.0,t +33731,,Monaco,1.0,f +2548,97%,Marshall Islands,3.0,f +46347,,Somalia,6.0,t +4460,,,1.0,f +46347,,Somalia,6.0,t +24379,,,1.0,f +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +43649,100%,Slovakia (Slovak Republic),1.0,t +39839,100%,Cook Islands,3.0,t +5131,100%,Sao Tome and Principe,2.0,t +44822,100%,Kenya,1.0,f +3986,,,1.0,t +10763,100%,,1.0,t +35445,,Ghana,1.0,f +10643,100%,Lebanon,1.0,f +30373,100%,Gambia,2.0,t +41851,100%,,3.0,t +8668,100%,Guinea,1.0,f +30988,,Tunisia,1.0,t +16168,,Mauritania,1.0,t +39288,,Sao Tome and Principe,1.0,t +47540,75%,,1.0,t +47218,100%,Malta,1.0,t +47151,80%,,3.0,f +13156,,United Kingdom,1.0,t +31128,100%,Montserrat,2.0,t +37428,100%,Nauru,1.0,f +26356,90%,Jersey,2.0,f +42565,100%,Montserrat,1.0,t +28971,,Maldives,1.0,f +3662,,Maldives,1.0,f +323,75%,,1.0,t +9214,,,1.0,f +25859,,Niue,1.0,f +30231,100%,Svalbard & Jan Mayen Islands,2.0,f +32387,,Isle of Man,1.0,t +23598,,,1.0,t +3203,100%,Uzbekistan,8.0,f +8309,100%,Brunei Darussalam,1.0,t +3203,100%,Uzbekistan,8.0,f +26080,,,1.0,t +41617,,,2.0,f +3124,,Senegal,1.0,f +47351,100%,,1.0,t +47734,100%,Ecuador,1.0,t +21128,,Niger,4.0,f +8836,,Niue,1.0,f +17509,100%,Nicaragua,3.0,f +33190,0%,Anguilla,1.0,t +42611,100%,Tonga,1.0,f +1997,0%,Pakistan,1.0,f +13723,100%,Gambia,4.0,t +22329,,,1.0,f +10803,100%,Nicaragua,1.0,f +17334,,Ecuador,2.0,t +27430,100%,Christmas Island,4.0,t +49092,,Turkmenistan,1.0,t +26250,100%,Tunisia,5.0,t +32080,,Nicaragua,3.0,f +32133,90%,,1.0,t +22192,,,1.0,t +21163,100%,Estonia,2.0,f +21403,95%,Vietnam,8.0,f +17060,100%,Monaco,1.0,f +37356,,Guinea,3.0,f +30924,,Sao Tome and Principe,7.0,t +11088,,France,1.0,f +30073,,,1.0,f +17414,,Venezuela,1.0,t +44512,,Guinea,1.0,f +10531,,Gibraltar,1.0,t +25989,,Uzbekistan,1.0,f +28368,,Jersey,1.0,t +24090,,Niue,1.0,f +1911,,Venezuela,1.0,t +15151,100%,Sao Tome and Principe,1.0,f +28676,,Anguilla,1.0,f +42325,,,1.0,t +4267,100%,Senegal,22.0,t +41203,,,1.0,t +37265,,Niue,2.0,t +21292,,Gambia,1.0,t +34494,100%,Niue,2.0,t +34587,,Isle of Man,22.0,t +15947,,Faroe Islands,1.0,f +5547,,Papua New Guinea,1.0,f +2515,100%,France,1.0,t +16406,100%,Bouvet Island (Bouvetoya),16.0,f +8399,,Nauru,1.0,t +46514,,Montserrat,1.0,t +14749,100%,,1.0,t +44952,100%,Uzbekistan,1.0,f +21057,,Niue,1.0,t +36478,75%,Holy See (Vatican City State),1.0,t +48221,,,1.0,f +10040,100%,,1.0,f +5555,100%,Denmark,11.0,t +38635,,,1.0,f +1483,,Kiribati,1.0,f +32921,,,2.0,t +40912,,,1.0,t +42395,,Nicaragua,1.0,t +32956,,Bouvet Island (Bouvetoya),3.0,t +10911,,Niue,1.0,t +326,100%,Gambia,1.0,t +3116,100%,Nicaragua,1.0,t +45251,100%,Holy See (Vatican City State),1.0,t +32253,100%,Gambia,1.0,t +31192,,Guinea,1.0,f +11832,,Jersey,1.0,t +23450,,Kiribati,2.0,f +23450,,Kiribati,2.0,f +45374,,French Guiana,2.0,f +7964,,,1.0,f +38005,,Russian Federation,1.0,t +29695,,Uganda,1.0,t +12188,,Niger,2.0,f +5591,99%,Indonesia,16.0,t +29647,100%,Peru,1305.0,f +11466,50%,Kiribati,1.0,t +20334,99%,Niger,171.0,t +17367,100%,Malta,1.0,f +47800,,,1.0,f +47133,,Nauru,1.0,f +26139,,,1.0,t +15137,100%,Marshall Islands,10.0,t +20379,,,1.0,t +37453,0%,,1.0,t +19089,100%,Spain,1.0,t +40073,,,1.0,f +4775,,Niue,1.0,f +46618,100%,Mauritania,1.0,f +33280,,,1.0,t +10958,,Sao Tome and Principe,1.0,f +39186,,Kenya,1.0,t +8507,,Mauritania,1.0,t +2252,,,1.0,f +47422,99%,Uzbekistan,30.0,f +41314,,Maldives,2.0,f +18668,100%,Costa Rica,1.0,t +4299,80%,Ukraine,1.0,t +17067,100%,Micronesia,1.0,f +23022,67%,Niue,10.0,t +22108,,Kenya,11.0,f +40985,100%,Guinea,15.0,t +6088,100%,,14.0,t +35468,100%,Sao Tome and Principe,1.0,t +27486,100%,,1.0,f +30833,,,1.0,f +40985,100%,Guinea,15.0,t +40713,100%,Gibraltar,1.0,t +44856,100%,,1.0,f +10428,,Isle of Man,3.0,f +10428,,Isle of Man,3.0,f +6894,80%,Estonia,47.0,t +49913,100%,Micronesia,1.0,f +49532,,,1.0,t +46662,,Kiribati,1.0,f +30990,50%,,1.0,t +46974,0%,,1.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +43281,100%,Micronesia,5.0,f +47417,100%,Finland,1.0,t +17066,100%,,1.0,t +7045,,,1.0,f +46945,,,1.0,t +3530,,,1.0,f +33766,,Bosnia and Herzegovina,2.0,t +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +3310,,Nicaragua,1.0,t +48600,,,1.0,f +32119,,,1.0,t +4383,,Micronesia,1.0,f +43152,100%,Nicaragua,82.0,t +14237,,France,1.0,t +43091,,Turkmenistan,1.0,f +42458,97%,Indonesia,14.0,t +21876,,Mexico,1.0,t +31421,,,1.0,t +34768,,Chad,1.0,t +44658,100%,,1.0,t +24274,100%,,1.0,t +3847,,Chad,2.0,t +3847,,Chad,2.0,t +21878,100%,Turkmenistan,1.0,t +29734,,,1.0,f +21076,90%,Kiribati,2.0,t +15834,,,1.0,t +46221,,,1.0,t +25926,100%,Slovakia (Slovak Republic),1.0,t +9370,90%,Niue,2.0,t +3103,100%,Turks and Caicos Islands,4.0,f +3203,100%,Uzbekistan,8.0,f +48649,100%,Kiribati,2.0,f +13888,100%,Lebanon,2.0,t +16901,100%,,1.0,t +34447,,Isle of Man,2.0,t +43579,,,1.0,t +28469,100%,Vanuatu,3.0,t +20984,,Zimbabwe,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +10297,,Chad,1.0,t +44910,,Cook Islands,1.0,t +30604,,Pakistan,1.0,f +3809,100%,,1.0,t +48339,100%,Slovakia (Slovak Republic),2.0,f +39547,50%,Sao Tome and Principe,1.0,t +7891,100%,Barbados,1.0,f +21905,,Uzbekistan,2.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +43152,100%,Nicaragua,82.0,t +29583,,,3.0,t +19217,98%,Marshall Islands,46.0,f +22814,,Niger,1.0,f +1585,,Bosnia and Herzegovina,2.0,f +48321,100%,China,17.0,f +27279,,Maldives,1.0,f +41010,100%,Bhutan,2.0,f +26112,50%,Russian Federation,1.0,t +32415,100%,,2.0,t +46753,,Micronesia,1.0,f +13253,50%,Mauritania,1.0,t +9645,,Faroe Islands,1.0,f +18407,100%,Rwanda,3.0,f +6880,100%,,5.0,f +48305,100%,Guinea,2.0,t +8657,,Kiribati,1.0,f +13527,,Russian Federation,3.0,t +48187,,,1.0,f +31528,,Zimbabwe,2.0,t +6807,100%,Mexico,9.0,f +15746,83%,China,3.0,f +30174,,Malta,1.0,t +29390,100%,Denmark,2.0,t +49922,100%,Portugal,3.0,f +28216,,,4.0,t +38354,100%,Niue,3.0,f +37670,,Niue,1.0,f +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +18814,,,1.0,f +10020,90%,China,5.0,f +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +39757,100%,Pakistan,1.0,f +27263,80%,China,5.0,f +6163,,Marshall Islands,1.0,t +4635,100%,,1.0,t +30092,50%,Indonesia,5.0,f +46501,,,1.0,f +42390,100%,Wallis and Futuna,96.0,t +30067,,Niue,1.0,t +26546,50%,Lebanon,3.0,t +40652,,,1.0,t +1355,100%,Sao Tome and Principe,1.0,t +42390,100%,Wallis and Futuna,96.0,t +15796,,Chile,1.0,f +46096,,El Salvador,1.0,f +18407,100%,Rwanda,3.0,f +42281,100%,Marshall Islands,39.0,f +785,,,1.0,f +377,,Turks and Caicos Islands,1.0,f +42277,,Malawi,2.0,f +13723,100%,Gambia,4.0,t +43905,,Libyan Arab Jamahiriya,1.0,t +16922,100%,,2.0,t +2608,100%,Bahrain,4.0,t +44474,,,2.0,t +45635,100%,Vanuatu,2.0,f +29326,,,1.0,t +43384,,Holy See (Vatican City State),1.0,f +23079,,Peru,1.0,f +5347,100%,Malta,1.0,f +40668,100%,Micronesia,2.0,t +3438,100%,Estonia,2.0,t +36643,98%,Maldives,17.0,f +43914,100%,,3.0,t +40045,,Marshall Islands,1.0,t +5674,,,1.0,t +27597,100%,Portugal,7.0,t +3616,100%,Cape Verde,14.0,t +32023,100%,Chad,1.0,t +43123,,Nicaragua,1.0,t +33575,,Guernsey,1.0,t +49694,100%,Montserrat,2.0,f +43914,100%,,3.0,t +37003,,France,1.0,f +12197,,,1.0,t +43293,,Denmark,2.0,f +27136,,Reunion,1.0,f +46130,,,2.0,f +39662,,Isle of Man,1.0,t +21549,,,1.0,f +43328,,Saint Helena,2.0,f +29514,100%,Korea,1.0,t +1798,,Faroe Islands,2.0,t +42515,,French Guiana,1.0,f +27705,,Malta,1.0,t +17828,100%,Guernsey,1.0,f +35143,0%,,4.0,f +11723,,,1.0,f +29433,,Somalia,2.0,f +49136,,Denmark,1.0,t +27592,100%,,1.0,f +34118,100%,Micronesia,2.0,t +16088,100%,Fiji,2.0,t +26349,100%,,1.0,t +25121,,Venezuela,1.0,t +6677,,,1.0,t +48572,,,1.0,f +41142,100%,French Guiana,1.0,t +45253,,Sao Tome and Principe,1.0,t +43262,,Russian Federation,1.0,f +39912,100%,,1.0,f +23048,,Nicaragua,1.0,f +16326,100%,Faroe Islands,1.0,t +49239,,,1.0,t +15704,100%,Anguilla,2.0,t +17534,100%,Isle of Man,1.0,t +40817,,Lebanon,1.0,f +48660,100%,Nicaragua,2.0,t +18294,,,1.0,t +18011,100%,,6.0,t +18323,100%,,3.0,t +8707,73%,Rwanda,21.0,t +11567,100%,Niger,31.0,t +20124,100%,France,2.0,t +3924,,Malta,2.0,f +27746,,Anguilla,3.0,f +43130,100%,Puerto Rico,5.0,f +17837,100%,Bouvet Island (Bouvetoya),1.0,t +47115,,,1.0,t +25685,,Barbados,2.0,t +21516,,Marshall Islands,1.0,t +22666,,Togo,1.0,f +39932,,Ukraine,1.0,f +17095,,,1.0,t +356,99%,Wallis and Futuna,32.0,t +18313,,Guinea,1.0,f +42390,100%,Wallis and Futuna,96.0,t +23703,100%,Monaco,3.0,t +42390,100%,Wallis and Futuna,96.0,t +20092,90%,Kiribati,1.0,f +12802,100%,Niger,3.0,t +29820,100%,Guinea,2.0,f +10777,,Zimbabwe,1.0,f +43226,,,1.0,t +13406,,Nicaragua,1.0,f +26360,,,1.0,t +12142,80%,,1.0,f +32350,,,2.0,f +27461,100%,,1.0,f +48472,,Niue,1.0,t +13667,100%,Isle of Man,2.0,t +23954,100%,,1.0,f +17505,,Zimbabwe,1.0,t +42046,,Kiribati,7.0,t +18183,100%,Netherlands,5.0,t +37093,100%,Croatia,1.0,f +20850,90%,Isle of Man,7.0,t +5154,,Tonga,1.0,f +42277,,Malawi,2.0,f +44359,,Canada,1.0,t +16911,,Libyan Arab Jamahiriya,2.0,f +21817,,Vanuatu,1.0,t +17343,,,2.0,f +14027,100%,Gambia,3.0,f +11659,100%,Puerto Rico,2.0,f +18712,95%,Turks and Caicos Islands,11.0,t +11659,100%,Puerto Rico,2.0,f +36234,97%,Fiji,12.0,t +15615,,Chad,1.0,t +24128,54%,Suriname,9.0,t +37804,,,1.0,t +44202,,,1.0,f +42320,,,1.0,f +28199,,Gibraltar,1.0,t +3718,,,1.0,f +49466,89%,Isle of Man,1.0,t +42944,,Wallis and Futuna,1.0,f +1374,,Rwanda,1.0,f +30852,100%,Netherlands,2.0,f +6579,0%,,1.0,f +1206,,Tonga,1.0,f +36658,94%,China,20.0,t +32286,100%,Kenya,2.0,t +36658,94%,China,20.0,t +18654,,Papua New Guinea,1.0,t +40633,100%,Guinea,2.0,t +42502,100%,Philippines,2.0,f +36658,94%,China,20.0,t +13275,,Maldives,1.0,t +9861,100%,Guernsey,2.0,f +42390,100%,Wallis and Futuna,96.0,t +6681,,Philippines,2.0,t +34741,100%,Svalbard & Jan Mayen Islands,2.0,f +34575,86%,Cape Verde,4.0,f +17932,100%,Costa Rica,8.0,t +49668,100%,Marshall Islands,2.0,f +26691,,Pakistan,1.0,t +5044,,Uzbekistan,1.0,f +43130,100%,Puerto Rico,5.0,f +29925,100%,Tonga,2.0,t +17266,100%,Canada,2.0,f +41410,,,1.0,t +14660,,,1.0,t +19795,100%,Estonia,8.0,f +28819,92%,Montserrat,3.0,t +11619,80%,,1.0,f +35978,,Russian Federation,1.0,t +22479,,,1.0,f +15472,100%,Niue,2.0,t +25166,100%,,1.0,f +4776,,French Guiana,1.0,f +20596,83%,Sao Tome and Principe,2.0,t +46863,,Marshall Islands,1.0,f +17720,100%,United Kingdom,1.0,t +7301,,Sao Tome and Principe,1.0,t +29199,,El Salvador,1.0,t +28596,,Uruguay,1.0,t +21995,100%,,1.0,t +37199,,Brazil,1.0,f +43034,100%,Rwanda,1.0,f +25885,,,1.0,f +35537,100%,Isle of Man,4.0,t +11009,,Niue,1.0,f +34835,86%,Turkmenistan,2.0,t +5051,100%,El Salvador,12.0,f +23454,100%,Uganda,2.0,t +34407,,Jersey,1.0,f +35923,,Maldives,2.0,t +12540,100%,Lebanon,1.0,t +4648,,Nicaragua,1.0,f +29360,,Kiribati,1.0,f +34794,,Chad,2.0,t +9478,100%,Faroe Islands,1.0,t +3829,,Pakistan,1.0,f +30981,0%,,1.0,f +17867,75%,,2.0,t +17867,75%,,2.0,t +7138,90%,Bosnia and Herzegovina,1.0,t +9034,,Russian Federation,1.0,f +16420,,,1.0,t +16027,,Barbados,8.0,t +32201,,Bouvet Island (Bouvetoya),1.0,t +22864,100%,,1.0,t +23932,69%,Montserrat,6.0,f +46656,50%,France,2.0,f +33121,100%,,1.0,f +14027,100%,Gambia,3.0,f +14682,,French Polynesia,3.0,t +14682,,French Polynesia,3.0,t +37965,,Guinea,1.0,t +48746,100%,Uganda,5.0,f +16489,100%,Russian Federation,42.0,t +15064,,,1.0,t +34116,,,1.0,f +1643,100%,Costa Rica,1.0,f +14587,100%,Vanuatu,1.0,f +19855,100%,Kiribati,37.0,t +31925,,,1.0,f +24026,98%,Cape Verde,69.0,t +6324,,Niue,1.0,f +29797,,Niue,1.0,t +26224,,,1.0,t +15348,,,1.0,f +30377,100%,Micronesia,1.0,f +39443,75%,France,1.0,f +896,,Gambia,1.0,t +17401,100%,Russian Federation,4.0,f +15898,,,1.0,t +2577,,Vanuatu,1.0,f +35850,,Philippines,1.0,t +13999,,Nicaragua,3.0,f +7753,,Russian Federation,2.0,t +40014,,Bosnia and Herzegovina,2.0,f +48746,100%,Uganda,5.0,f +17401,100%,Russian Federation,4.0,f +8731,,Gibraltar,1.0,t +25229,100%,Niger,2.0,f +38879,,Mexico,1.0,t +16152,89%,,2.0,f +32866,100%,Kiribati,1.0,t +25440,,Indonesia,4.0,t +13028,100%,Zimbabwe,2.0,t +37648,100%,Lithuania,1.0,t +48947,,Portugal,2.0,t +17006,,,2.0,t +11239,,,1.0,f +48568,100%,Vanuatu,2.0,t +36903,,,1.0,f +8386,100%,,1.0,t +34659,100%,United Kingdom,2.0,f +42386,100%,Ecuador,6.0,t +2442,,,1.0,t +22838,100%,,5.0,t +30142,,Jersey,1.0,t +24896,100%,Algeria,50.0,t +24157,,Guinea,4.0,f +17458,,Andorra,1.0,f +42386,100%,Ecuador,6.0,t +43267,50%,,1.0,t +24157,,Guinea,4.0,f +13245,,,1.0,t +32177,100%,Jersey,2.0,t +18318,,,1.0,t +1203,80%,Marshall Islands,1.0,f +47938,100%,Niue,4.0,f +23092,,Isle of Man,1.0,t +14514,,China,80.0,t +24722,100%,,1.0,t +24026,98%,Cape Verde,69.0,t +22268,100%,,1.0,f +46567,,Estonia,1.0,f +1317,,Christmas Island,2.0,f +27590,100%,Suriname,8.0,t +23306,,,1.0,f +50049,,,1.0,f +30612,,,1.0,f +17050,,Faroe Islands,1.0,f +10065,100%,Niue,1.0,t +16155,100%,,1.0,t +36682,,,1.0,t +28871,100%,,1.0,f +31362,,Somalia,2.0,f +17932,100%,Costa Rica,8.0,t +41090,,Lebanon,1.0,f +35845,80%,Gambia,1.0,t +28528,,,1.0,f +8832,,,1.0,f +34096,100%,Andorra,10.0,f +40299,,,1.0,f +45767,,,1.0,t +35009,,,1.0,t +18098,100%,,1.0,f +46972,,Senegal,2.0,f +10879,,Somalia,1.0,t +4372,,Mexico,1.0,t +29972,,United Kingdom,1.0,f +29926,67%,Zimbabwe,7.0,t +31979,100%,Kenya,10.0,f +37769,,Tanzania,1.0,t +13149,100%,,1.0,f +43730,,Kenya,1.0,t +48174,,Denmark,1.0,f +32906,,Netherlands,1.0,t +11875,100%,Micronesia,2.0,t +32015,,,1.0,f +26779,100%,Uzbekistan,2.0,t +25521,,French Guiana,1.0,t +47130,100%,United Kingdom,2.0,t +21343,,,1.0,f +7573,,Papua New Guinea,1.0,t +30597,67%,Zimbabwe,1.0,f +31904,,Niue,3.0,t +28122,,Svalbard & Jan Mayen Islands,1.0,t +34790,,Sao Tome and Principe,1.0,f +44005,,,2.0,t +47663,,Turkmenistan,1.0,t +35437,81%,Slovakia (Slovak Republic),2.0,t +42386,100%,Ecuador,6.0,t +14386,100%,Nicaragua,8.0,f +28798,,Micronesia,1.0,f +1984,,Mauritania,3.0,t +16478,100%,Isle of Man,1.0,t +49634,,Faroe Islands,1.0,t +27942,,Guinea,1.0,t +26775,100%,,1.0,t +12558,,Monaco,1.0,t +15240,,,1.0,t +33832,0%,Denmark,7.0,t +7365,100%,,1.0,f +16029,100%,Faroe Islands,2.0,t +44150,,,1.0,f +14688,100%,,1.0,f +3254,,Tonga,16.0,t +43371,100%,Kiribati,2.0,t +9877,,Niue,1.0,t +1800,,,1.0,t +5344,100%,,1.0,f +43764,,Niue,1.0,t +47624,100%,Marshall Islands,1.0,t +3254,,Tonga,16.0,t +47481,,Togo,1.0,t +9291,,,1.0,t +9280,100%,Lithuania,1.0,f +42459,100%,,1.0,t +43651,,,1.0,t +42817,,French Polynesia,1.0,t +46115,100%,Cocos (Keeling) Islands,2.0,f +27302,,Micronesia,1.0,t +2384,,Isle of Man,1.0,f +25360,100%,Tonga,6.0,f +36838,,,1.0,t +1333,,,1.0,t +31362,,Somalia,2.0,f +32102,,Niue,2.0,f +24247,100%,Zimbabwe,1.0,f +12642,100%,United Kingdom,7.0,t +20432,100%,,1.0,t +29484,80%,,1.0,t +18565,,,1.0,f +48756,100%,Maldives,59.0,f +48756,100%,Maldives,59.0,f +42616,,Pakistan,4.0,f +39502,,Rwanda,1.0,t +23623,100%,Montserrat,11.0,t +34854,,,1.0,t +21473,,Vanuatu,1.0,t +4371,100%,Marshall Islands,4.0,t +24883,100%,Russian Federation,1.0,f +129,,Niger,1.0,f +48516,,,2.0,f +19316,90%,,1.0,t +7230,,Turkmenistan,1.0,f +48930,,Bosnia and Herzegovina,1.0,f +23332,100%,Bosnia and Herzegovina,2.0,f +14007,,Zimbabwe,2.0,t +44720,,,1.0,f +5352,,Lebanon,1.0,f +22929,,Isle of Man,1.0,f +16721,100%,Tonga,1.0,f +35290,100%,Papua New Guinea,1.0,t +4166,,Gibraltar,1.0,f +31886,,,1.0,t +5940,,Isle of Man,1.0,t +38941,,,3.0,t +19978,100%,,2.0,f +46212,100%,China,4.0,f +34267,,Chad,1.0,f +12966,,Chile,1.0,f +48375,,Nauru,1.0,f +14007,,Zimbabwe,2.0,t +4450,,,1.0,t +24963,100%,China,1.0,f +31107,100%,Isle of Man,3.0,t +2667,100%,Niue,3.0,f +36934,,Bosnia and Herzegovina,1.0,t +3485,,Nicaragua,1.0,t +22024,,,1.0,t +41315,100%,Holy See (Vatican City State),1.0,t +46949,100%,Tunisia,4.0,f +29647,100%,Peru,1305.0,f +2927,100%,Uganda,10.0,t +6703,80%,Gambia,1.0,f +11646,100%,Gambia,2.0,f +23573,,Costa Rica,1.0,f +24319,,Moldova,1.0,f +46949,100%,Tunisia,4.0,f +43833,,,1.0,t +41970,,Afghanistan,1.0,f +25360,100%,Tonga,6.0,f +36514,,San Marino,1.0,f +34306,91%,Wallis and Futuna,30.0,t +48756,100%,Maldives,59.0,f +29647,100%,Peru,1305.0,f +20852,100%,Marshall Islands,1.0,t +31793,100%,,1.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +30626,100%,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +32067,100%,Togo,1.0,t +43152,100%,Nicaragua,82.0,t +40988,100%,,4.0,f +28060,100%,,1.0,t +29647,100%,Peru,1305.0,f +15052,,,1.0,t +25165,93%,Uzbekistan,7.0,f +45799,,Kiribati,6.0,t +10906,,Chad,1.0,f +18887,,,1.0,t +21900,,Russian Federation,1.0,f +6728,,Vietnam,3.0,t +9245,,El Salvador,2.0,t +22838,100%,,5.0,t +22838,100%,,5.0,t +22838,100%,,5.0,t +45391,,,1.0,f +706,,,1.0,f +44894,,Russian Federation,1.0,f +46238,100%,Lebanon,1.0,t +16196,,,2.0,f +4581,100%,,1.0,f +42820,100%,Gibraltar,6.0,f +26713,,Afghanistan,4.0,t +34555,67%,Estonia,2.0,t +39485,100%,Marshall Islands,1.0,t +47140,,,1.0,t +29647,100%,Peru,1305.0,f +11895,,,1.0,f +29647,100%,Peru,1305.0,f +24026,98%,Cape Verde,69.0,t +34306,91%,Wallis and Futuna,30.0,t +48870,,Marshall Islands,1.0,f +13959,100%,Pitcairn Islands,3.0,t +22190,,,1.0,f +5924,,Canada,1.0,t +50040,100%,Micronesia,15.0,t +29647,100%,Peru,1305.0,f +25360,100%,Tonga,6.0,f +5978,100%,Zimbabwe,3.0,t +36635,100%,Indonesia,10.0,f +49380,100%,Micronesia,1.0,f +27687,100%,,1.0,t +16891,,,1.0,t +29647,100%,Peru,1305.0,f +25241,,Monaco,1.0,f +26386,100%,Fiji,25.0,t +19217,98%,Marshall Islands,46.0,f +28697,100%,Nauru,5.0,t +25360,100%,Tonga,6.0,f +29647,100%,Peru,1305.0,f +30492,100%,,1.0,t +46631,,France,1.0,t +29439,,,1.0,t +29647,100%,Peru,1305.0,f +24026,98%,Cape Verde,69.0,t +29647,100%,Peru,1305.0,f +25360,100%,Tonga,6.0,f +29647,100%,Peru,1305.0,f +44766,100%,Russian Federation,1.0,t +27263,80%,China,5.0,f +19896,100%,,1.0,f +46500,99%,Pakistan,73.0,f +28812,,Malta,3.0,t +5998,,Maldives,1.0,t +33903,,Togo,2.0,t +25739,,Malawi,1.0,f +3127,100%,Rwanda,36.0,f +30834,,Gambia,1.0,t +9093,100%,,1.0,t +23561,,,1.0,t +41912,100%,Lebanon,2.0,t +4621,,,1.0,t +39958,,,1.0,t +17299,,Anguilla,2.0,f +31285,,Gambia,1.0,t +46500,99%,Pakistan,73.0,f +10060,,Sao Tome and Principe,2.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +28963,,Afghanistan,1.0,t +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +14535,88%,Montserrat,18.0,f +31136,,Micronesia,1.0,t +19387,,El Salvador,1.0,f +32811,,,1.0,t +29647,100%,Peru,1305.0,f +35998,90%,,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +8677,,Marshall Islands,1.0,f +22157,,Rwanda,1.0,t +46066,,,1.0,f +28650,100%,Zimbabwe,2.0,f +958,,Denmark,2.0,t +41035,,Malta,1.0,t +38961,,Togo,1.0,f +10486,,Mauritania,1.0,f +27485,100%,Uzbekistan,2.0,t +16361,86%,,1.0,t +36100,100%,Rwanda,17.0,t +39848,100%,,1.0,t +24969,,China,1.0,t +46500,99%,Pakistan,73.0,f +24026,98%,Cape Verde,69.0,t +7283,,United Kingdom,1.0,f +31979,100%,Kenya,10.0,f +17644,,Zimbabwe,1.0,t +9505,,,1.0,f +4397,100%,French Guiana,1.0,t +48064,,Gibraltar,1.0,t +46041,,Libyan Arab Jamahiriya,1.0,f +26786,,,1.0,t +36075,0%,Kiribati,1.0,f +46500,99%,Pakistan,73.0,f +45151,100%,Tonga,1.0,f +46500,99%,Pakistan,73.0,f +28555,100%,Russian Federation,3.0,f +47783,100%,Isle of Man,3.0,t +14302,,,1.0,f +19938,,Indonesia,1.0,t +14406,100%,,1.0,f +7745,,Jersey,2.0,f +724,100%,Zimbabwe,8.0,f +43026,,Anguilla,1.0,t +33616,100%,Kenya,4.0,t +37351,,,1.0,f +40131,,Croatia,1.0,f +41405,,Guinea,2.0,f +27813,,Faroe Islands,1.0,f +20109,100%,El Salvador,1.0,f +36810,,,1.0,f +13603,,Kiribati,1.0,t +47422,99%,Uzbekistan,30.0,f +24026,98%,Cape Verde,69.0,t +20479,,,1.0,t +47422,99%,Uzbekistan,30.0,f +27133,100%,,4.0,f +40357,,,1.0,t +33193,100%,Brazil,10.0,f +24866,,,2.0,t +41554,,Faroe Islands,1.0,f +9186,,,1.0,f +39035,,,1.0,f +1516,,Turkmenistan,1.0,t +39626,,,1.0,t +31119,,,1.0,t +19892,100%,Monaco,1.0,f +48593,100%,Faroe Islands,1.0,t +49194,,Congo,1.0,t +2976,100%,Tanzania,2.0,t +29350,,,1.0,f +40270,,Cape Verde,1.0,f +3333,,,1.0,t +27561,100%,Nicaragua,2.0,t +29394,,Sao Tome and Principe,1.0,f +41269,,Philippines,7.0,f +23081,,Uzbekistan,1.0,t +8862,100%,Nicaragua,3.0,f +17425,100%,Afghanistan,1.0,t +18223,,,1.0,f +39384,100%,,1.0,f +14896,100%,Malta,3.0,t +35923,,Maldives,2.0,t +13314,,,1.0,f +2611,,Russian Federation,1.0,f +17784,,,1.0,t +23960,100%,,1.0,f +22659,100%,,1.0,t +11574,,,1.0,t +40421,96%,Jersey,29.0,t +27900,,Guinea,1.0,f +27947,,Tonga,1.0,t +4545,100%,,1.0,t +36892,,Kiribati,2.0,f +33920,,Zimbabwe,2.0,t +31606,100%,Marshall Islands,54.0,t +43593,100%,Guernsey,1.0,t +3616,100%,Cape Verde,14.0,t +33044,,Guinea,1.0,f +2798,100%,Togo,1.0,t +14386,100%,Nicaragua,8.0,f +33007,100%,Croatia,1.0,t +43196,,,1.0,t +28814,,Afghanistan,2.0,f +3084,100%,Isle of Man,1.0,t +10505,100%,,1.0,t +13349,,Indonesia,1.0,t +6544,100%,,1.0,t +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +45424,,,2.0,t +41405,,Guinea,2.0,f +48563,,,1.0,f +33920,,Zimbabwe,2.0,t +44656,100%,Faroe Islands,3.0,t +14346,,,3.0,t +39235,,,1.0,f +4463,,Russian Federation,1.0,t +11438,,Tonga,1.0,t +47185,100%,Isle of Man,2.0,t +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +31979,100%,Kenya,10.0,f +9209,,Uzbekistan,1.0,t +35143,0%,,4.0,f +20206,,Monaco,1.0,t +3941,100%,,3.0,f +31979,100%,Kenya,10.0,f +49418,,Niue,2.0,f +10288,,United Kingdom,1.0,t +29820,100%,Guinea,2.0,f +31979,100%,Kenya,10.0,f +5429,100%,,2.0,t +47944,,,1.0,f +45218,100%,Marshall Islands,1.0,t +24061,,Zimbabwe,1.0,f +16594,,,1.0,t +35488,,Kiribati,1.0,f +48655,,,1.0,t +33785,,Nicaragua,2.0,f +17889,,Russian Federation,1.0,t +4850,,,1.0,t +30585,,,1.0,t +37833,,China,1.0,t +23868,67%,,15.0,t +33785,,Nicaragua,2.0,f +41269,,Philippines,7.0,f +3639,100%,,1.0,f +31860,100%,,1.0,t +47701,,,1.0,t +27142,,Guinea,1.0,t +46622,,,1.0,f +2856,,Switzerland,1.0,f +27862,,,2.0,t +33766,,Bosnia and Herzegovina,2.0,t +36234,97%,Fiji,12.0,t +48746,100%,Uganda,5.0,f +14632,,,1.0,f +11580,,,1.0,f +46404,,,1.0,f +15314,,Christmas Island,1.0,f +20230,100%,,1.0,t +44063,,,1.0,f +43050,100%,,2.0,t +41647,,Chile,1.0,t +3376,,Nicaragua,8.0,t +46181,,Sao Tome and Principe,1.0,f +39069,,Bouvet Island (Bouvetoya),1.0,f +18484,100%,Gambia,108.0,f +20685,,,1.0,f +34025,,Nicaragua,6.0,f +12718,100%,Indonesia,2.0,f +25803,,Cook Islands,1.0,t +11671,100%,,1.0,f +39750,100%,,1.0,f +35414,,Uzbekistan,1.0,f +14364,100%,Nauru,9.0,f +34447,,Isle of Man,2.0,t +35411,100%,Mauritania,2.0,f +26802,,Sao Tome and Principe,2.0,f +10659,,,1.0,t +30671,,Marshall Islands,1.0,t +30279,,Kenya,1.0,f +41265,,Zimbabwe,1.0,t +31585,,,1.0,f +44640,100%,French Polynesia,4.0,t +43378,,,1.0,f +49373,,Russian Federation,2.0,t +24875,80%,Malawi,1.0,t +30913,,Nauru,1.0,t +18753,100%,Gambia,1.0,t +49364,,Reunion,3.0,t +47783,100%,Isle of Man,3.0,t +47783,100%,Isle of Man,3.0,t +28256,,,1.0,f +1243,,Kenya,1.0,t +28919,,Malawi,2.0,t +20426,,Slovakia (Slovak Republic),2.0,f +4984,,Tonga,2.0,t +4984,,Tonga,2.0,t +35607,100%,Tonga,1.0,t +31334,,Maldives,2.0,f +26389,100%,Vietnam,1.0,f +13162,,Bosnia and Herzegovina,1.0,t +45137,,,1.0,t +5392,,,1.0,f +38289,,Uzbekistan,1.0,t +13721,,Maldives,1.0,f +22331,99%,Rwanda,50.0,t +2348,,Chile,1.0,t +18680,0%,,1.0,t +30126,100%,Togo,5.0,t +25201,100%,France,1.0,f +14716,,Faroe Islands,2.0,t +26676,,Uzbekistan,1.0,t +11425,,Greenland,1.0,t +21979,,,1.0,t +41692,90%,Guinea,2.0,f +41623,,,1.0,f +9333,,Guinea,1.0,f +8707,73%,Rwanda,21.0,t +41732,,Isle of Man,1.0,t +5062,,Mexico,1.0,t +8707,73%,Rwanda,21.0,t +23886,100%,Anguilla,1.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +21926,,,1.0,f +2745,,Russian Federation,1.0,f +37995,,Somalia,1.0,t +19842,85%,Turkmenistan,53.0,f +18145,100%,United Kingdom,1.0,f +45731,,Uzbekistan,1.0,t +17844,100%,,3.0,t +9936,,Canada,1.0,t +40234,100%,Isle of Man,1.0,f +28751,,Grenada,1.0,t +19842,85%,Turkmenistan,53.0,f +33900,80%,Nauru,1.0,f +23676,,,1.0,t +20133,,Turkmenistan,1.0,f +10,,,1.0,t +4389,0%,,1.0,f +354,100%,,2.0,t +15904,100%,Afghanistan,2.0,f +18792,,Micronesia,1.0,f +9950,,Denmark,1.0,t +27562,,Gambia,1.0,t +36358,,Zimbabwe,1.0,t +31193,,Uganda,3.0,t +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +21569,100%,Libyan Arab Jamahiriya,1.0,t +41742,90%,Slovakia (Slovak Republic),3.0,t +41742,90%,Slovakia (Slovak Republic),3.0,t +32479,100%,Cocos (Keeling) Islands,1.0,t +1577,100%,Peru,8.0,t +12682,100%,,1.0,t +35011,,Brazil,1.0,f +40608,,,1.0,f +21132,,Costa Rica,1.0,t +16027,,Barbados,8.0,t +19780,100%,,3.0,f +19780,100%,,3.0,f +42273,100%,,1.0,f +37014,,,1.0,f +49373,,Russian Federation,2.0,t +49645,,Brunei Darussalam,1.0,f +22223,,Bouvet Island (Bouvetoya),1.0,f +44940,50%,Croatia,2.0,t +1738,,Lebanon,1.0,f +11056,100%,Uzbekistan,3.0,f +20534,,Brunei Darussalam,1.0,f +23034,99%,Monaco,54.0,f +1789,100%,Uganda,1.0,f +48976,100%,Philippines,4.0,f +19393,,Russian Federation,2.0,f +42806,,Gibraltar,1.0,f +24632,100%,Croatia,4.0,t +188,100%,Nauru,1.0,t +1252,,Isle of Man,1.0,f +38746,99%,Vietnam,13.0,f +19493,,,1.0,t +42055,,Isle of Man,1.0,f +38746,99%,Vietnam,13.0,f +38746,99%,Vietnam,13.0,f +38746,99%,Vietnam,13.0,f +24410,100%,,1.0,f +17042,,Russian Federation,1.0,f +39432,100%,Puerto Rico,1.0,t +36949,98%,,11.0,t +3254,,Tonga,16.0,t +45370,,,1.0,f +8406,,Anguilla,1.0,f +24279,,Sao Tome and Principe,1.0,t +8036,,,1.0,t +42529,,Russian Federation,1.0,t +2074,100%,Lebanon,1.0,f +41269,,Philippines,7.0,f +48735,89%,Gambia,1.0,t +45594,,,1.0,f +2505,,,1.0,t +40353,,,1.0,f +36635,100%,Indonesia,10.0,f +33474,83%,,1.0,t +10442,,Isle of Man,1.0,f +8599,100%,,1.0,t +47597,,,1.0,t +48756,100%,Maldives,59.0,f +13198,,,1.0,f +46420,,,1.0,f +958,,Denmark,2.0,t +22194,,,1.0,t +24836,100%,Kiribati,4.0,f +46334,100%,Micronesia,1.0,f +14309,,Turkmenistan,1.0,f +193,100%,Estonia,3.0,t +16378,,Gambia,1.0,f +46269,,Monaco,1.0,t +9958,,,1.0,t +2214,,,1.0,f +6838,96%,Spain,59.0,t +22108,,Kenya,11.0,f +4452,,Russian Federation,1.0,f +44522,,Rwanda,1.0,f +49655,,,1.0,t +14290,,Monaco,1.0,f +3096,,,1.0,t +1730,100%,Chad,2.0,t +10890,100%,,2.0,t +624,100%,Barbados,4.0,f +23983,,Finland,1.0,f +46673,,Djibouti,1.0,t +1599,100%,,2.0,f +45938,,,1.0,f +39886,100%,Malta,2.0,f +38242,85%,Rwanda,3.0,t +10863,,,1.0,t +20689,0%,Micronesia,1.0,f +33335,100%,Gibraltar,3.0,t +48240,,Somalia,1.0,t +14354,40%,,3.0,t +26803,,Kiribati,1.0,t +15733,,Chile,1.0,t +20334,99%,Niger,171.0,t +49325,,Saint Pierre and Miquelon,781.0,t +37646,100%,Estonia,60.0,f +24917,100%,Uganda,11.0,t +6405,100%,Russian Federation,2.0,t +42385,100%,Nauru,2.0,t +4250,100%,,2.0,f +27090,100%,Tonga,2.0,t +33734,,,1.0,f +33429,,Russian Federation,2.0,f +28246,,Russian Federation,1.0,t +34747,,Lebanon,3.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +35143,0%,,4.0,f +46888,100%,Mauritania,3.0,f +29647,100%,Peru,1305.0,f +17795,100%,Uzbekistan,11.0,t +7441,100%,Niue,1.0,f +34493,,,1.0,t +32222,,Gambia,4.0,f +15602,,Uzbekistan,2.0,t +45469,,Reunion,2.0,f +5439,45%,,6.0,f +10905,100%,,2.0,f +36629,,,1.0,t +1807,100%,,1.0,f +49958,,Barbados,1.0,f +25454,,Bouvet Island (Bouvetoya),1.0,f +42665,,Zimbabwe,1.0,t +6724,,Lithuania,1.0,t +5915,,Russian Federation,4.0,f +970,100%,Marshall Islands,2.0,f +42928,100%,,1.0,t +5904,100%,Mauritania,2.0,f +4698,,United Kingdom,1.0,t +33217,,France,1.0,f +43208,,,1.0,t +42802,100%,,1.0,t +19727,,Chile,1.0,t +3669,80%,Guinea,2.0,f +6604,,,1.0,t +29559,,,1.0,f +3959,,Pakistan,1.0,f +37872,38%,,1.0,t +12902,,Guernsey,1.0,f +18993,100%,Reunion,2.0,t +8438,62%,Nicaragua,9.0,t +5439,45%,,6.0,f +5439,45%,,6.0,f +5439,45%,,6.0,f +36635,100%,Indonesia,10.0,f +40181,100%,Russian Federation,2.0,t +3629,60%,,1.0,f +45263,100%,France,1.0,t +49293,,French Guiana,1.0,f +8627,90%,Gambia,1.0,t +19435,100%,,1.0,f +9587,100%,,1.0,f +19859,100%,Puerto Rico,2.0,t +23356,100%,Netherlands,1.0,f +36638,100%,,1.0,f +23514,,Australia,1.0,t +9265,,French Guiana,1.0,f +31970,,Niue,2.0,f +43769,,,1.0,t +16848,,,1.0,f +40512,100%,Indonesia,2.0,t +42509,100%,Nicaragua,1.0,t +25927,,,1.0,t +16287,100%,,2.0,f +16772,,Niue,2.0,t +31044,,,1.0,t +18927,,Congo,1.0,t +34321,,Maldives,1.0,t +32019,,Lebanon,1.0,t +20217,90%,,2.0,t +6830,,,1.0,t +17372,,Russian Federation,1.0,t +43744,,Cocos (Keeling) Islands,1.0,t +27499,100%,,1.0,t +25813,100%,Cocos (Keeling) Islands,1.0,f +38846,100%,Micronesia,1.0,t +12973,100%,United Kingdom,1.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +5821,100%,,1.0,f +47605,67%,,1.0,t +30740,,Gambia,2.0,t +32548,,,1.0,t +23526,,,1.0,f +2173,,Ghana,1.0,t +49296,,,1.0,t +17076,,Bahrain,1.0,t +49663,,Chile,2.0,t +29647,100%,Peru,1305.0,f +5636,,,1.0,t +17285,,Micronesia,1.0,f +29647,100%,Peru,1305.0,f +45760,,Faroe Islands,1.0,t +29647,100%,Peru,1305.0,f +44111,100%,Vanuatu,1.0,f +9604,100%,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +17360,,Turkmenistan,1.0,t +47086,100%,Mauritania,4.0,t +49241,50%,Libyan Arab Jamahiriya,1.0,t +29647,100%,Peru,1305.0,f +44959,,,1.0,f +29647,100%,Peru,1305.0,f +24026,98%,Cape Verde,69.0,t +30800,100%,Micronesia,2.0,f +24307,,Denmark,1.0,f +16564,,Russian Federation,1.0,f +6441,,Nicaragua,1.0,t +45843,,,1.0,f +47474,,Lebanon,1.0,f +8187,,,1.0,f +25555,,Malta,1.0,f +17806,,Faroe Islands,1.0,f +2653,,Lithuania,1.0,t +11956,,Gibraltar,4.0,t +20498,100%,,1.0,t +6377,,French Guiana,1.0,t +39101,100%,Micronesia,1.0,t +14173,90%,Brazil,3.0,t +33547,100%,Uzbekistan,1.0,t +39898,,,1.0,t +13611,,Denmark,1.0,t +11440,,,1.0,f +32808,,Gambia,1.0,f +4056,,Brunei Darussalam,1.0,f +1614,,Tanzania,1.0,t +7055,100%,,1.0,f +32099,,Sao Tome and Principe,1.0,f +7296,100%,Zimbabwe,2.0,t +5236,,Croatia,1.0,t +15073,,French Guiana,1.0,t +16673,,France,1.0,t +35143,0%,,4.0,f +39965,100%,Tonga,3.0,t +11058,,Niue,1.0,f +21027,,Estonia,1.0,t +43379,,Palestinian Territory,1.0,f +23346,,,1.0,t +16319,100%,Zimbabwe,1.0,f +8688,,Brazil,2.0,f +29950,,France,1.0,t +3376,,Nicaragua,8.0,t +3376,,Nicaragua,8.0,t +23807,,,1.0,t +28549,,Guinea,1.0,f +33381,100%,Turks and Caicos Islands,1.0,t +25655,100%,Ukraine,2.0,f +33331,,Tonga,1.0,f +32352,100%,French Guiana,2.0,f +15069,100%,Montserrat,3.0,t +47199,100%,Tanzania,2.0,t +41784,100%,Rwanda,3.0,f +35619,,Indonesia,1.0,f +9709,,Tunisia,1.0,f +49727,,,2.0,f +31740,,,1.0,f +47789,,,1.0,t +39931,,Guinea,1.0,f +31069,,,1.0,t +38330,100%,Montserrat,1.0,f +22132,,Kenya,1.0,f +17947,,French Guiana,2.0,t +38568,,Turks and Caicos Islands,4.0,f +27944,,France,1.0,f +46194,100%,Tanzania,4.0,f +49795,,Chile,1.0,t +24404,,,1.0,f +37513,,Malta,1.0,f +15965,,Russian Federation,1.0,t +19041,100%,Indonesia,4.0,t +1004,,Holy See (Vatican City State),2.0,t +35809,,,1.0,f +38590,,,1.0,f +16049,,,1.0,f +26321,100%,Faroe Islands,2.0,t +15647,100%,Bosnia and Herzegovina,2.0,t +27162,100%,Isle of Man,1.0,f +18704,,,1.0,t +34714,100%,,2.0,t +44466,,,1.0,t +8438,62%,Nicaragua,9.0,t +39050,100%,,1.0,t +12492,,,1.0,t +36299,100%,Rwanda,13.0,t +29078,0%,Tonga,1.0,f +47220,,,1.0,f +48746,100%,Uganda,5.0,f +5427,,Monaco,1.0,f +29154,,El Salvador,1.0,f +25421,67%,Svalbard & Jan Mayen Islands,2.0,f +8076,,Lithuania,1.0,f +36036,,Ghana,1.0,t +21496,0%,Turkmenistan,1.0,t +44317,0%,,1.0,t +30136,,Brazil,1.0,f +13694,,Gibraltar,1.0,f +34605,,Chile,1.0,f +6351,,,2.0,f +13637,60%,,5.0,t +14490,100%,Denmark,1.0,t +21615,100%,Montserrat,4.0,f +42465,,Zimbabwe,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +36137,,Lebanon,1.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +36262,,Andorra,1.0,t +39396,100%,Zimbabwe,1.0,t +33617,,Canada,1.0,f +18180,,,1.0,t +18885,70%,El Salvador,7.0,t +8219,,Micronesia,1.0,t +26279,,Lebanon,1.0,t +25437,100%,,1.0,t +32224,,,1.0,f +38962,100%,Gibraltar,2.0,t +27759,0%,Monaco,1.0,t +3182,,,1.0,f +27253,,French Guiana,1.0,f +25609,0%,,1.0,f +23008,100%,Russian Federation,1.0,t +3965,,Canada,1.0,t +38482,100%,Jersey,1.0,f +3669,80%,Guinea,2.0,f +24775,97%,Montserrat,44.0,f +23747,100%,Niger,4.0,t +40189,100%,Marshall Islands,1.0,f +20590,,,1.0,f +29338,100%,,2.0,t +6624,,Russian Federation,1.0,t +39625,100%,Zimbabwe,1.0,t +14617,100%,,1.0,t +14934,,Anguilla,1.0,f +26892,100%,Togo,12.0,t +46614,100%,,1.0,t +47297,,,1.0,t +35759,100%,,1.0,t +37230,,,1.0,t +48334,100%,Guinea,12.0,f +1546,,,2.0,f +14833,,,1.0,f +37287,,Maldives,1.0,t +35300,,,1.0,t +28335,,,1.0,t +48334,100%,Guinea,12.0,f +39952,100%,Tonga,21.0,f +12116,,Uganda,1.0,f +26504,,Niue,1.0,f +30695,,Guinea,1.0,f +48334,100%,Guinea,12.0,f +35231,,,1.0,f +45902,,Sao Tome and Principe,5.0,t +48207,,Faroe Islands,1.0,f +30995,,,7.0,f +17959,,Lebanon,1.0,t +27380,,Peru,1.0,f +21864,100%,Micronesia,1.0,t +18282,,Niue,1.0,f +42773,,,1.0,f +27772,100%,Chad,2.0,t +29866,100%,Isle of Man,2.0,f +26146,,,2.0,t +26621,25%,,1.0,t +14566,100%,Korea,4.0,t +36836,,Tanzania,1.0,f +24539,100%,,1.0,t +29702,,,1.0,t +18140,,Bosnia and Herzegovina,2.0,f +4367,,,1.0,t +29692,,Faroe Islands,1.0,f +1953,,,1.0,f +9558,,Maldives,1.0,f +19778,,Russian Federation,1.0,t +31295,,Lebanon,1.0,t +47451,100%,Turkmenistan,1.0,t +8206,,Maldives,1.0,t +6001,,,1.0,f +39742,97%,,2.0,f +9226,,Mauritania,5.0,f +41008,100%,Venezuela,6.0,f +23037,,Lebanon,1.0,t +30560,,,1.0,f +31072,100%,Montserrat,6.0,t +3279,,Uzbekistan,1.0,t +29647,100%,Peru,1305.0,f +20739,,,1.0,f +29647,100%,Peru,1305.0,f +44510,,,1.0,f +29647,100%,Peru,1305.0,f +49082,,Pakistan,1.0,f +23843,100%,Isle of Man,3.0,t +29647,100%,Peru,1305.0,f +1369,100%,Russian Federation,1.0,t +29647,100%,Peru,1305.0,f +2417,,Cocos (Keeling) Islands,1.0,f +29647,100%,Peru,1305.0,f +980,,Djibouti,4.0,f +25163,,Afghanistan,1.0,t +37922,50%,,1.0,t +15602,,Uzbekistan,2.0,t +13084,,,1.0,t +42290,,,1.0,f +2982,,,1.0,t +48660,100%,Nicaragua,2.0,t +25903,,China,1.0,f +48504,,Netherlands,5.0,f +24647,,Guinea,2.0,t +39693,100%,Guinea,3.0,f +48214,100%,Canada,1.0,f +11320,,Guinea,1.0,t +40440,,Portugal,1.0,t +38793,100%,Svalbard & Jan Mayen Islands,2.0,f +37370,,Russian Federation,1.0,t +41118,,,1.0,f +34272,,Papua New Guinea,1.0,t +9439,,,1.0,f +24779,,,1.0,t +24241,,,1.0,t +25839,,Congo,1.0,t +1009,,Lebanon,1.0,t +5439,45%,,6.0,f +15294,,,1.0,f +24615,,,1.0,t +49270,,Faroe Islands,1.0,f +24836,100%,Kiribati,4.0,f +8438,62%,Nicaragua,9.0,t +8438,62%,Nicaragua,9.0,t +44468,,France,1.0,f +20163,100%,Lebanon,1.0,t +1040,,,1.0,t +31376,,Cocos (Keeling) Islands,1.0,f +28828,100%,Isle of Man,198.0,t +32443,,Costa Rica,4.0,t +11775,,Bouvet Island (Bouvetoya),1.0,t +16787,100%,Niue,2.0,f +6229,,Venezuela,1.0,t +40104,,Somalia,1.0,t +5069,,Holy See (Vatican City State),1.0,f +40752,100%,Tunisia,5.0,t +44420,100%,Faroe Islands,2.0,f +7882,,,1.0,t +2347,100%,Russian Federation,1.0,t +7981,100%,Sao Tome and Principe,4.0,t +4023,,Estonia,1.0,f +48290,100%,,1.0,f +14272,,Guinea,1.0,t +33192,,Russian Federation,2.0,t +24587,100%,Nicaragua,2.0,f +42579,29%,Anguilla,1.0,f +31461,,Gambia,1.0,f +16506,,Christmas Island,1.0,f +15994,50%,,1.0,f +30924,,Sao Tome and Principe,7.0,t +28182,,Isle of Man,1.0,f +43963,,,1.0,f +40292,,,1.0,f +1984,,Mauritania,3.0,t +8238,91%,Barbados,15.0,t +43248,100%,Tanzania,2.0,t +25276,90%,Denmark,1.0,f +26166,,Isle of Man,1.0,t +2035,40%,,1.0,f +2399,,Costa Rica,1.0,t +19586,,Libyan Arab Jamahiriya,1.0,f +41313,100%,Denmark,10.0,t +43248,100%,Tanzania,2.0,t +3544,,,1.0,t +11944,,Russian Federation,1.0,f +20474,,Lebanon,1.0,t +180,,,1.0,f +44407,,Bouvet Island (Bouvetoya),1.0,t +6575,,Ghana,1.0,f +26518,100%,Turkmenistan,1.0,t +23486,,,1.0,f +33284,,Gambia,3.0,f +11734,100%,,3.0,t +47808,,Niue,1.0,f +44940,50%,Croatia,2.0,t +35616,,Nauru,1.0,f +11817,,Tonga,3.0,f +22270,100%,,3.0,t +2172,100%,,2.0,t +35455,,,1.0,f +41080,89%,Tonga,10.0,t +13582,,Guinea,2.0,f +4717,,Isle of Man,1.0,f +41080,89%,Tonga,10.0,t +29647,100%,Peru,1305.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +42158,100%,,15.0,f +50075,,Chad,1.0,t +37779,100%,,1.0,t +12316,100%,Micronesia,2.0,t +34930,,,2.0,t +41080,89%,Tonga,10.0,t +47876,,Estonia,1.0,t +16197,,,1.0,t +17537,,,1.0,f +37498,,,1.0,f +20119,,Lithuania,1.0,f +24445,,Niger,1.0,f +42582,,Niue,1.0,f +3276,,Marshall Islands,1.0,t +10043,0%,French Guiana,1.0,f +29812,100%,Tanzania,2.0,t +43217,75%,,1.0,t +19397,100%,Niue,2.0,t +18077,100%,Sao Tome and Principe,139.0,f +7906,,Costa Rica,1.0,t +24011,100%,,1.0,t +15414,,Afghanistan,1.0,t +26312,100%,,3.0,t +12316,100%,Micronesia,2.0,t +27465,100%,,1.0,f +30031,100%,Turks and Caicos Islands,2.0,t +9780,,Isle of Man,2.0,t +37152,,,2.0,f +26738,,,1.0,t +9564,,,1.0,t +7011,,,1.0,f +32217,,,1.0,f +13145,,Cuba,2.0,t +47086,100%,Mauritania,4.0,t +48310,20%,Lebanon,1.0,t +21252,,Guinea,1.0,t +10700,100%,Gambia,1.0,t +40607,,Uganda,1.0,t +2039,,Jersey,1.0,t +23669,100%,,1.0,f +195,,Slovenia,1.0,f +47772,,Montserrat,1.0,f +33072,100%,El Salvador,4.0,f +6740,,,1.0,t +34156,100%,Svalbard & Jan Mayen Islands,2.0,t +21852,100%,,3.0,f +5526,100%,Isle of Man,3.0,t +11430,90%,,1.0,t +18555,80%,Uzbekistan,1.0,f +42519,,Nauru,1.0,t +13798,100%,France,2.0,t +13717,,,1.0,t +14152,,Gambia,1.0,t +9204,11%,Russian Federation,1.0,t +35641,,Netherlands,15.0,t +7867,75%,Philippines,1.0,t +30924,,Sao Tome and Principe,7.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +18391,,Svalbard & Jan Mayen Islands,2.0,f +21054,,Russian Federation,1.0,t +34198,,United Kingdom,1.0,t +34714,100%,,2.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +43346,,Cocos (Keeling) Islands,1.0,f +54,,Turkmenistan,2.0,t +14264,,Malta,1.0,t +3576,,Uruguay,1.0,f +40105,,,1.0,t +19082,,Micronesia,1.0,f +17418,,Tunisia,1.0,t +48043,100%,,1.0,f +14015,,,1.0,t +43242,,Niue,1.0,t +27154,100%,Russian Federation,3.0,t +46318,100%,Rwanda,1.0,f +1050,,,1.0,f +30416,,,1.0,f +22147,80%,,2.0,f +29978,89%,Uzbekistan,26.0,f +37657,,Turkmenistan,1.0,t +38340,,,2.0,t +26641,,,1.0,f +26747,,,1.0,f +33671,90%,Brazil,1.0,f +16899,,,1.0,f +15412,,Svalbard & Jan Mayen Islands,1.0,t +41962,,Afghanistan,1.0,f +18673,,Guernsey,1.0,f +36516,,,1.0,t +8631,,,1.0,t +14026,,Cocos (Keeling) Islands,1.0,f +1012,,,1.0,f +42874,,Togo,1.0,f +26514,99%,Vietnam,10.0,f +26514,99%,Vietnam,10.0,f +26514,99%,Vietnam,10.0,f +23168,,Bouvet Island (Bouvetoya),3.0,t +45017,100%,Lithuania,1.0,t +32222,,Gambia,4.0,f +27460,50%,Denmark,2.0,f +26514,99%,Vietnam,10.0,f +48756,100%,Maldives,59.0,f +39882,,Somalia,1.0,f +26514,99%,Vietnam,10.0,f +26514,99%,Vietnam,10.0,f +231,,Barbados,1.0,f +22900,,Guinea,1.0,f +49468,100%,Kenya,1.0,t +43331,,,1.0,t +37054,,Sao Tome and Principe,1.0,t +15480,,Portugal,1.0,f +38340,,,2.0,t +7542,,Russian Federation,1.0,f +23429,,,1.0,f +34784,60%,Faroe Islands,19.0,t +33814,,Faroe Islands,9.0,f +12980,100%,Uzbekistan,3.0,t +9867,100%,Guernsey,1.0,t +36635,100%,Indonesia,10.0,f +38568,,Turks and Caicos Islands,4.0,f +18435,100%,,1.0,f +6505,,Brazil,1.0,f +49426,,,1.0,t +24747,100%,Nicaragua,6.0,f +2921,,Cuba,2.0,t +1088,,Turkmenistan,1.0,f +48855,,,1.0,t +33027,,,1.0,f +19393,,Russian Federation,2.0,f +19049,,Kiribati,2.0,t +24979,,,1.0,t +5813,90%,France,1.0,t +18351,,Micronesia,1.0,t +28841,,Guinea,1.0,t +49432,,Monaco,1.0,f +17544,67%,,1.0,t +47841,,Chad,1.0,t +29234,100%,Togo,9.0,t +34895,100%,Estonia,16.0,t +28235,,,1.0,t +32488,,Senegal,17.0,t +41290,,,1.0,f +20566,100%,Sao Tome and Principe,2.0,f +21313,,Kiribati,1.0,f +8225,95%,Barbados,31.0,f +7293,,Barbados,3.0,f +18375,50%,,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +47640,,Denmark,1.0,f +16193,,,1.0,f +30000,,,1.0,t +28828,100%,Isle of Man,198.0,t +16530,100%,Senegal,3.0,f +6941,,Brazil,1.0,f +35039,,Turkmenistan,1.0,f +45055,,Brazil,3.0,t +48839,,Australia,1.0,t +29471,,,1.0,f +1041,,Lebanon,1.0,t +42681,,Georgia,4.0,f +38568,,Turks and Caicos Islands,4.0,f +47423,,Marshall Islands,1.0,t +38568,,Turks and Caicos Islands,4.0,f +37970,100%,,1.0,t +2295,100%,,1.0,f +69,,Canada,1.0,f +45042,,Guernsey,1.0,t +47447,,Portugal,2.0,f +39816,,,1.0,t +4330,94%,Ukraine,60.0,t +608,,Russian Federation,3.0,f +15541,,Puerto Rico,1.0,f +2613,,,2.0,t +37219,,,1.0,t +5328,,Sao Tome and Principe,1.0,f +31666,,,1.0,t +28762,,Korea,1.0,f +37785,,,1.0,f +11759,,,1.0,t +33531,100%,Mexico,1.0,f +9062,100%,Palestinian Territory,5.0,f +12742,100%,Nicaragua,2.0,t +47719,,,1.0,f +46639,,,1.0,f +5892,,Turkmenistan,1.0,t +15915,94%,,4.0,t +12264,100%,Slovakia (Slovak Republic),1.0,t +1244,100%,Ecuador,1.0,t +16795,,Andorra,2.0,t +22583,,Somalia,1.0,t +4235,,Bosnia and Herzegovina,3.0,f +14364,100%,Nauru,9.0,f +356,99%,Wallis and Futuna,32.0,t +7965,,Niue,1.0,f +49674,100%,Lebanon,1.0,f +19849,,Russian Federation,2.0,t +7491,,Kenya,1.0,t +20225,,,1.0,f +48877,,,1.0,f +4942,100%,,3.0,f +14022,100%,Uganda,1.0,t +41590,,Cocos (Keeling) Islands,1.0,f +36224,,,1.0,f +31538,,,1.0,t +4330,94%,Ukraine,60.0,t +39949,83%,Turks and Caicos Islands,1.0,t +41621,100%,,1.0,f +10745,100%,Faroe Islands,2.0,f +8156,,Russian Federation,3.0,f +7806,,Russian Federation,1.0,t +20117,,Faroe Islands,1.0,f +20848,,Saint Helena,1.0,t +13500,,Brazil,1.0,f +41983,90%,United Kingdom,1.0,f +24925,,,1.0,f +14310,,Faroe Islands,1.0,f +15780,,,1.0,t +41413,,,1.0,t +18238,,,2.0,t +9370,90%,Niue,2.0,t +9666,33%,,1.0,t +982,99%,Marshall Islands,32.0,f +24870,,Turks and Caicos Islands,1.0,f +14173,90%,Brazil,3.0,t +44293,,,1.0,f +46403,,,1.0,f +49069,,,1.0,f +35118,,Bouvet Island (Bouvetoya),1.0,t +468,,,1.0,f +33546,,French Guiana,1.0,f +42118,,,1.0,t +18391,,Svalbard & Jan Mayen Islands,2.0,f +32051,,,1.0,f +16850,100%,Sao Tome and Principe,3.0,t +18903,,,2.0,t +5611,,,1.0,t +12359,80%,Croatia,1.0,f +34688,100%,Gambia,2.0,t +13060,100%,Montserrat,2.0,f +34623,,Isle of Man,1.0,f +13554,,Faroe Islands,1.0,t +28713,,Tonga,1.0,f +43815,,,1.0,t +49708,,Afghanistan,3.0,t +17925,33%,,2.0,t +13240,100%,Estonia,1.0,t +6572,100%,Venezuela,1.0,f +5153,100%,France,1.0,f +41644,,Isle of Man,1.0,t +14167,,,1.0,f +27154,100%,Russian Federation,3.0,t +20217,90%,,2.0,t +14110,,Tanzania,1.0,f +48035,,Togo,1.0,f +21390,90%,,2.0,f +24985,90%,,7.0,t +31587,,,1.0,f +33295,,Tonga,2.0,t +250,,Togo,1.0,f +13123,,Kenya,1.0,f +35902,100%,,1.0,f +39001,,Russian Federation,1.0,f +12292,,Guinea,1.0,f +35,,Micronesia,1.0,f +22621,,,1.0,t +36542,0%,,1.0,t +356,99%,Wallis and Futuna,32.0,t +32771,,Korea,1.0,t +39207,,Denmark,3.0,t +2099,100%,Tonga,1.0,t +32932,,Reunion,1.0,f +14931,100%,Jersey,4.0,f +16278,,Korea,1.0,t +36256,,Russian Federation,1.0,f +37223,,,1.0,f +3917,,,1.0,t +15382,,Guinea,2.0,f +39126,100%,Guinea,9.0,f +4618,,Tonga,3.0,f +34439,,Guinea,1.0,f +26214,,,1.0,f +45512,100%,Barbados,2.0,t +24681,,Russian Federation,1.0,t +2962,100%,Sao Tome and Principe,2.0,t +33814,,Faroe Islands,9.0,f +35355,100%,Gambia,3.0,f +6487,,,1.0,f +48961,90%,Turkmenistan,2.0,t +22908,100%,Micronesia,6.0,t +11958,100%,,1.0,f +12370,,,1.0,f +18393,100%,Canada,2.0,t +9585,,Zimbabwe,1.0,t +29338,100%,,2.0,t +7100,,,1.0,f +23754,88%,,1.0,t +18357,,,1.0,f +31082,,Zimbabwe,1.0,f +10285,,,2.0,f +4579,100%,Marshall Islands,2.0,f +6623,,Uzbekistan,1.0,f +32961,,United Kingdom,6.0,t +9806,100%,Lithuania,2.0,t +6418,,,1.0,t +18678,100%,,1.0,f +32961,,United Kingdom,6.0,t +21272,100%,Niue,6.0,f +44823,,Micronesia,2.0,f +42187,,Costa Rica,1.0,t +42852,,,1.0,t +33805,,,2.0,t +23763,100%,,1.0,t +27897,,,1.0,t +37881,100%,Guinea,1.0,f +48333,100%,Chad,2.0,t +12594,,,1.0,t +37570,,Svalbard & Jan Mayen Islands,1.0,f +34151,100%,Guinea,3.0,f +23034,99%,Monaco,54.0,f +41902,,Zimbabwe,1.0,t +39381,,Russian Federation,1.0,f +2522,,,1.0,f +39980,,Jersey,1.0,f +1420,100%,Afghanistan,2.0,f +48379,,El Salvador,1.0,f +48692,,Uganda,1.0,f +7216,,,1.0,f +46005,,Nicaragua,1.0,f +8509,,Malta,1.0,t +17124,88%,Turks and Caicos Islands,4.0,t +29647,100%,Peru,1305.0,f +24345,100%,Lebanon,1.0,t +503,,Maldives,3.0,t +42767,100%,,1.0,t +21766,,Tonga,1.0,f +37739,,,1.0,t +20060,,Guernsey,5.0,t +764,,Faroe Islands,1.0,f +1011,97%,Russian Federation,8.0,t +13011,,Uzbekistan,1.0,t +37704,96%,Fiji,26.0,f +22599,,,1.0,f +20334,99%,Niger,171.0,t +37704,96%,Fiji,26.0,f +43748,,France,1.0,t +16602,,Gambia,2.0,t +40328,,Netherlands,1.0,f +37637,100%,,1.0,t +11281,100%,,2.0,t +37704,96%,Fiji,26.0,f +28739,,Faroe Islands,1.0,f +41357,,Tonga,1.0,t +48359,,Niger,2.0,f +13476,,,1.0,f +13589,100%,China,1.0,f +22211,,,1.0,t +33086,,Niue,1.0,t +11281,100%,,2.0,t +12118,,Niue,1.0,f +5164,,Guinea,1.0,f +19091,95%,Cook Islands,18.0,t +24351,,Marshall Islands,1.0,t +19603,98%,Cuba,12.0,f +34730,100%,,2.0,f +16795,,Andorra,2.0,t +32462,,Puerto Rico,1.0,f +47449,100%,Guinea,1.0,f +29666,100%,Anguilla,2.0,f +28620,,,1.0,t +21724,,Sao Tome and Principe,3.0,t +21998,,,1.0,f +201,,Bouvet Island (Bouvetoya),1.0,t +25272,,,1.0,f +34730,100%,,2.0,f +26240,,Cuba,1.0,f +4116,,Kiribati,1.0,f +20387,100%,Malta,12.0,t +34570,100%,,1.0,f +26312,100%,,3.0,t +17119,,Russian Federation,1.0,t +21545,,Turks and Caicos Islands,1.0,f +42185,,Wallis and Futuna,1.0,t +15827,,Bouvet Island (Bouvetoya),1.0,f +6392,,Nicaragua,1.0,t +45055,,Brazil,3.0,t +8862,100%,Nicaragua,3.0,f +36955,,,1.0,f +37692,,Micronesia,1.0,t +45839,,,1.0,f +24294,100%,Brazil,1.0,t +31813,,Marshall Islands,1.0,t +39956,,Monaco,2.0,t +14566,100%,Korea,4.0,t +2927,100%,Uganda,10.0,t +29601,,Faroe Islands,6.0,t +42344,100%,Libyan Arab Jamahiriya,1.0,t +48807,100%,Micronesia,1.0,f +12441,,,1.0,f +28237,,Malta,1.0,f +34941,,,1.0,f +4282,,Maldives,2.0,t +48756,100%,Maldives,59.0,f +29647,100%,Peru,1305.0,f +30742,,Guinea,1.0,t +29647,100%,Peru,1305.0,f +10386,,,1.0,f +46431,,,1.0,f +6996,100%,Turkmenistan,1.0,t +29647,100%,Peru,1305.0,f +39560,,Pakistan,1.0,f +23655,100%,Jersey,1.0,t +19944,100%,Kiribati,12.0,f +23221,100%,Chad,1.0,f +25336,100%,Vanuatu,1.0,f +47106,100%,,2.0,t +47879,0%,Jersey,2.0,f +37854,,,1.0,t +18913,,,1.0,t +17124,88%,Turks and Caicos Islands,4.0,t +22503,100%,,1.0,f +1588,,Malta,1.0,t +16611,0%,,1.0,t +35625,98%,Estonia,25.0,t +35903,,,1.0,t +30203,100%,Svalbard & Jan Mayen Islands,1.0,t +17746,,Mauritania,1.0,f +10770,,,1.0,t +32041,,Canada,1.0,f +9222,100%,Brazil,18.0,t +13693,100%,United Kingdom,5.0,t +13867,,Uzbekistan,2.0,f +41998,,Vanuatu,2.0,f +7884,,Montserrat,1.0,f +7116,,United Kingdom,1.0,f +18002,100%,,1.0,f +43141,,,1.0,t +17466,,Cocos (Keeling) Islands,2.0,t +16677,,Rwanda,3.0,t +3053,100%,Turks and Caicos Islands,1.0,f +29647,100%,Peru,1305.0,f +14499,,Monaco,3.0,f +19603,98%,Cuba,12.0,f +19603,98%,Cuba,12.0,f +420,100%,Tonga,1.0,f +6894,80%,Estonia,47.0,t +19943,63%,Isle of Man,34.0,f +19603,98%,Cuba,12.0,f +15852,,Niue,1.0,f +12013,100%,Costa Rica,1.0,t +855,100%,Russian Federation,2.0,t +21387,,Micronesia,1.0,t +29647,100%,Peru,1305.0,f +8595,100%,Lebanon,3.0,t +17887,,,1.0,t +24083,100%,France,2.0,t +18244,,Malta,1.0,f +30982,,Chad,3.0,f +26073,,,1.0,t +24026,98%,Cape Verde,69.0,t +10224,,Nicaragua,2.0,t +30924,,Sao Tome and Principe,7.0,t +30295,,,1.0,f +24026,98%,Cape Verde,69.0,t +15586,,Niue,1.0,t +22863,,,1.0,f +22373,100%,Rwanda,1.0,f +26296,100%,Cape Verde,1.0,f +28434,,Bouvet Island (Bouvetoya),1.0,t +36066,96%,Isle of Man,2.0,t +29404,,Sao Tome and Principe,1.0,t +49486,,Isle of Man,1.0,f +47431,,Isle of Man,1.0,t +3929,,Lebanon,1.0,t +15915,94%,,4.0,t +27703,,Sao Tome and Principe,1.0,f +18938,,Vanuatu,1.0,t +28805,,,1.0,f +22664,,Isle of Man,1.0,f +47810,100%,Tonga,3.0,f +42334,,Chile,1.0,f +36066,96%,Isle of Man,2.0,t +16039,,,1.0,t +20572,0%,,2.0,t +800,,,1.0,t +26501,100%,Maldives,2.0,t +10506,,,1.0,t +24522,,,1.0,f +25692,,Lebanon,1.0,t +35635,,Malawi,1.0,f +19958,100%,Congo,40.0,t +5277,100%,Vietnam,10.0,f +7613,,Uzbekistan,1.0,t +13022,,Pakistan,1.0,f +16775,,Faroe Islands,1.0,f +27764,,Bouvet Island (Bouvetoya),1.0,f +45033,100%,Marshall Islands,1.0,t +8273,,Guernsey,1.0,t +48603,100%,Guinea,40.0,f +26698,100%,Uganda,5.0,t +40302,100%,Rwanda,2.0,t +33472,,,1.0,t +15892,,Mexico,3.0,t +8305,100%,Brazil,1.0,f +10314,,Faroe Islands,1.0,f +47721,100%,,1.0,f +18240,,Gambia,1.0,t +24268,,Greenland,5.0,f +24754,,Anguilla,1.0,f +42117,100%,,1.0,f +26679,100%,Finland,1.0,t +45159,,,1.0,f +29353,,Lebanon,1.0,f +29096,60%,Niue,1.0,f +48603,100%,Guinea,40.0,f +35511,90%,Cocos (Keeling) Islands,2.0,f +39207,,Denmark,3.0,t +28124,100%,Costa Rica,2.0,t +23592,,,1.0,f +2457,,,1.0,t +18003,,Papua New Guinea,1.0,f +48603,100%,Guinea,40.0,f +29947,100%,Niue,1.0,t +32177,100%,Jersey,2.0,t +6894,80%,Estonia,47.0,t +33047,,Jersey,1.0,f +42764,100%,Guernsey,13.0,t +28350,,Maldives,1.0,t +43186,100%,Vietnam,3.0,t +28855,,China,2.0,t +47325,,,1.0,t +37279,,,1.0,f +47631,100%,Faroe Islands,3.0,f +3254,,Tonga,16.0,t +29567,100%,Vanuatu,1.0,t +39756,,Monaco,1.0,f +17405,,Niue,1.0,t +5553,100%,,2.0,t +12312,100%,Malawi,2.0,f +6916,,Isle of Man,1.0,f +29933,100%,Faroe Islands,3.0,t +30477,,,1.0,f +48603,100%,Guinea,40.0,f +7343,100%,Peru,1.0,t +40980,,,1.0,t +11973,100%,Niue,7.0,t +22829,,Guinea,1.0,t +13995,,Malawi,1.0,t +12241,100%,,2.0,t +18417,,,1.0,t +34661,100%,Marshall Islands,1.0,t +24786,,Sao Tome and Principe,1.0,f +12241,100%,,2.0,t +19570,0%,Greenland,1.0,f +5439,45%,,6.0,f +17642,,Isle of Man,1.0,f +29372,,Canada,1.0,f +43736,100%,,1.0,t +26843,,,1.0,f +46853,0%,,1.0,f +23258,,,1.0,f +40455,,Guinea,1.0,f +49544,,Zimbabwe,2.0,f +37669,,Cape Verde,1.0,t +13729,,,2.0,f +49611,100%,Russian Federation,1.0,t +21304,,Uzbekistan,1.0,t +7166,,Marshall Islands,1.0,f +5196,,Gambia,2.0,t +25577,100%,Marshall Islands,2.0,f +30586,,Holy See (Vatican City State),1.0,t +29772,,Congo,2.0,f +9720,,,1.0,t +43907,,Malta,1.0,t +35906,,Greenland,1.0,t +8745,,Korea,1.0,f +44095,,,1.0,f +28627,,Kenya,1.0,f +23352,90%,,2.0,t +48321,100%,China,17.0,f +47842,80%,Vanuatu,1.0,f +14344,,,1.0,f +48114,80%,China,3.0,t +23989,100%,Russian Federation,3.0,t +16437,,Zimbabwe,1.0,t +36658,94%,China,20.0,t +34978,,,1.0,f +23682,57%,Uganda,4.0,f +5609,100%,Russian Federation,1.0,t +19397,100%,Niue,2.0,t +41022,100%,Cape Verde,3.0,t +12089,100%,Zimbabwe,1.0,t +32115,100%,Faroe Islands,1.0,t +31205,,Anguilla,1.0,t +17388,100%,,2.0,t +23672,96%,,3.0,t +23086,,Russian Federation,1.0,f +32287,,Monaco,1.0,f +11945,,,1.0,f +15792,,,1.0,t +46141,100%,,3.0,f +36576,100%,Tonga,4.0,t +28526,,Philippines,2.0,f +5087,,,2.0,t +26820,100%,Tonga,1.0,t +39347,,Nicaragua,1.0,f +16132,,,2.0,t +876,90%,,1.0,f +46073,0%,,1.0,f +36162,100%,,4.0,t +34976,100%,,1.0,t +28467,100%,Faroe Islands,3.0,t +43589,,Faroe Islands,2.0,t +35477,,Togo,1.0,f +19326,,,1.0,t +29647,100%,Peru,1305.0,f +8231,,,1.0,t +14642,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +48492,,Zimbabwe,1.0,f +300,100%,France,2.0,t +21923,90%,Guinea,1.0,f +4070,100%,,1.0,t +34788,,Niue,1.0,t +3781,,,1.0,f +29933,100%,Faroe Islands,3.0,t +2600,,Canada,1.0,f +23614,100%,Ecuador,4.0,t +29045,100%,,1.0,t +20509,100%,Kenya,2.0,t +12991,,,2.0,t +29612,,,1.0,t +30495,,Indonesia,1.0,t +31142,,,1.0,f +49140,,,1.0,t +44837,,Niue,1.0,t +29390,100%,Denmark,2.0,t +3391,100%,Iran,58.0,t +8195,,,1.0,t +20890,90%,Uzbekistan,3.0,t +14776,,Isle of Man,1.0,f +20130,,United Kingdom,1.0,f +3391,100%,Iran,58.0,t +17499,33%,Somalia,1.0,t +3361,,Turks and Caicos Islands,1.0,t +12096,100%,,1.0,t +5748,100%,France,1.0,f +2351,,,1.0,t +46886,50%,,2.0,t +3391,100%,Iran,58.0,t +3391,100%,Iran,58.0,t +3391,100%,Iran,58.0,t +20324,100%,United Kingdom,2.0,f +24839,100%,Mauritania,2.0,t +24896,100%,Algeria,50.0,t +24233,,,1.0,f +41998,,Vanuatu,2.0,f +21610,,Niue,1.0,t +34001,,Fiji,1.0,t +22977,,Bouvet Island (Bouvetoya),1.0,f +6391,,Montserrat,1.0,t +4570,100%,Guinea,4.0,t +26743,,Monaco,1.0,t +34306,91%,Wallis and Futuna,30.0,t +19182,,Russian Federation,1.0,t +47725,,,1.0,f +25090,,Monaco,1.0,f +3540,40%,French Guiana,1.0,t +19783,100%,Rwanda,1.0,t +28592,,,1.0,f +26084,,Vietnam,4.0,t +23857,100%,Isle of Man,1.0,f +36845,100%,Denmark,1.0,t +4082,,France,1.0,f +21287,82%,Lithuania,1.0,t +37818,100%,Tonga,2.0,f +25228,,Kenya,1.0,f +16455,,,1.0,t +31622,,Djibouti,1.0,t +22294,,Sao Tome and Principe,1.0,f +31213,100%,Denmark,1.0,t +46371,,,1.0,f +17464,,Philippines,8.0,t +14640,0%,,2.0,f +30866,,,1.0,f +18117,,,1.0,f +25207,100%,,9.0,t +46163,,Jersey,1.0,t +40836,100%,Togo,6.0,t +48345,,Peru,1.0,f +14711,,Tonga,1.0,f +387,,Niger,1.0,f +12183,,Turkmenistan,1.0,f +37426,100%,Zimbabwe,3.0,t +6059,,Faroe Islands,1.0,t +19243,,Zimbabwe,1.0,f +35348,,Suriname,2.0,t +13574,100%,,1.0,f +9075,,,1.0,f +12742,100%,Nicaragua,2.0,t +476,,Guernsey,1.0,t +15628,,,1.0,t +10649,,,1.0,f +8439,97%,Rwanda,17.0,t +46851,100%,Gibraltar,1.0,t +6894,80%,Estonia,47.0,t +29647,100%,Peru,1305.0,f +24896,100%,Algeria,50.0,t +24026,98%,Cape Verde,69.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +37122,,,1.0,t +43417,,Tonga,1.0,t +29647,100%,Peru,1305.0,f +29216,,,1.0,f +29647,100%,Peru,1305.0,f +48523,100%,Zimbabwe,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +11118,,,1.0,f +29,,China,1.0,f +15684,,,1.0,f +22824,,Rwanda,1.0,f +38754,,,1.0,t +22247,100%,Slovakia (Slovak Republic),5.0,t +7006,,,1.0,f +1306,,Faroe Islands,1.0,f +25042,,Canada,1.0,t +41733,,,1.0,f +8135,100%,Russian Federation,1.0,t +37522,100%,Russian Federation,1.0,f +35299,,,1.0,t +42406,,Somalia,1.0,t +13973,100%,Gabon,2.0,t +47920,,American Samoa,3.0,t +40836,100%,Togo,6.0,t +29634,,Sao Tome and Principe,1.0,f +608,,Russian Federation,3.0,f +608,,Russian Federation,3.0,f +40836,100%,Togo,6.0,t +40836,100%,Togo,6.0,t +41282,100%,Marshall Islands,1.0,f +45728,,,1.0,t +23740,,Maldives,1.0,f +22554,,Afghanistan,1.0,f +16132,,,2.0,t +49197,90%,,3.0,f +1641,,Lebanon,1.0,t +45766,,,2.0,t +4210,,Lebanon,1.0,f +12909,,Anguilla,1.0,t +10222,100%,,4.0,t +24175,,French Guiana,1.0,f +1881,,Turkmenistan,1.0,f +1595,,,1.0,f +8147,,French Guiana,1.0,t +46970,,,1.0,f +8792,100%,Svalbard & Jan Mayen Islands,1.0,f +22790,,,1.0,t +37359,,Gambia,1.0,t +5819,,United Kingdom,1.0,f +19154,100%,France,2.0,t +35158,,Turkmenistan,1.0,f +5553,100%,,2.0,t +24961,,,1.0,t +8953,90%,Micronesia,7.0,t +19603,98%,Cuba,12.0,f +8953,90%,Micronesia,7.0,t +8953,90%,Micronesia,7.0,t +42889,100%,Canada,2.0,t +15189,79%,China,21.0,f +34943,,French Polynesia,1.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +17278,100%,,1.0,t +9344,,Indonesia,1.0,t +17913,,Rwanda,1.0,t +12729,100%,Maldives,6.0,t +19231,100%,Ukraine,2.0,t +37019,,,1.0,f +25450,,,1.0,f +41255,,,1.0,f +7773,,Kenya,7.0,f +4711,,Cocos (Keeling) Islands,1.0,f +8225,95%,Barbados,31.0,f +1083,,,2.0,f +23354,,Sao Tome and Principe,1.0,f +42590,,Mexico,1.0,f +14514,,China,80.0,t +13729,,,2.0,f +5916,100%,Papua New Guinea,1.0,t +11470,,,1.0,f +15662,100%,Tonga,1.0,t +5791,,,1.0,f +16043,,Slovenia,1.0,t +22088,,China,1.0,f +39730,,Marshall Islands,3.0,t +29015,,Monaco,1.0,f +24587,100%,Nicaragua,2.0,f +28552,,Cocos (Keeling) Islands,1.0,t +14173,90%,Brazil,3.0,t +17180,0%,,1.0,f +44132,90%,Denmark,1.0,f +39730,,Marshall Islands,3.0,t +13659,,,1.0,t +7622,100%,Mauritania,1.0,f +28574,,,1.0,f +14929,,United Kingdom,1.0,f +34923,,Faroe Islands,1.0,t +8642,100%,,1.0,f +18569,0%,,1.0,f +5025,,,1.0,f +45786,,Jersey,1.0,f +40274,0%,Bouvet Island (Bouvetoya),1.0,t +6838,96%,Spain,59.0,t +24058,100%,Canada,2.0,t +27669,,Sao Tome and Principe,1.0,t +2045,,Denmark,1.0,f +29700,,,1.0,t +43726,100%,,1.0,t +40756,100%,Mexico,1.0,f +16426,,,1.0,t +18925,,Philippines,1.0,f +49,,,1.0,t +7553,,Lithuania,2.0,f +2017,,Reunion,1.0,f +23034,99%,Monaco,54.0,f +5187,,Maldives,2.0,t +39207,,Denmark,3.0,t +26634,,Zimbabwe,1.0,f +46697,,Sao Tome and Principe,1.0,f +48103,,Reunion,1.0,f +41846,,Slovakia (Slovak Republic),1.0,t +27939,100%,Nauru,2.0,f +9027,,,1.0,f +17031,80%,Reunion,7.0,t +34709,,Faroe Islands,1.0,f +22966,,Finland,1.0,t +46666,,,1.0,f +7752,,Niue,1.0,t +4752,100%,Chile,1.0,f +35153,,Chad,1.0,t +39780,100%,,2.0,f +32271,100%,,1.0,f +18388,,El Salvador,1.0,t +18021,,,1.0,f +47388,,Russian Federation,1.0,f +25574,100%,Isle of Man,2.0,t +7475,,Lebanon,1.0,f +18458,,Guinea,1.0,t +28517,,Lebanon,2.0,t +26185,,Chad,1.0,f +36826,,,1.0,t +19346,,Nicaragua,1.0,f +12539,,Tanzania,1.0,f +19754,0%,Indonesia,1.0,t +15447,,Russian Federation,1.0,t +6673,,Kenya,3.0,t +23199,,Isle of Man,1.0,f +49629,,Isle of Man,1.0,f +11132,,Bosnia and Herzegovina,1.0,f +22860,100%,Turkmenistan,2.0,t +37723,,Kenya,1.0,f +39130,,Puerto Rico,1.0,f +36490,100%,Venezuela,1.0,t +12463,,Isle of Man,1.0,t +28578,,Russian Federation,1.0,t +12394,,French Guiana,1.0,f +2158,100%,,2.0,t +6171,0%,,1.0,t +44402,,Micronesia,1.0,f +43218,,,1.0,t +39479,,,1.0,t +3858,,,1.0,t +9049,,Guinea,1.0,t +15237,,,1.0,f +43381,100%,Sao Tome and Principe,2.0,t +47058,,,4.0,f +40419,,,1.0,f +7858,,,1.0,f +32645,,Ghana,1.0,t +27249,,,1.0,f +11915,100%,,2.0,f +22186,,San Marino,1.0,f +7825,,El Salvador,1.0,t +44435,,,1.0,f +46958,100%,,1.0,f +15350,,,1.0,t +35601,,Zimbabwe,1.0,f +47127,,Palestinian Territory,1.0,f +33578,100%,Isle of Man,6.0,t +31842,,Guinea,1.0,t +6215,,Mauritania,1.0,t +42924,,,1.0,f +42029,,Ukraine,1.0,f +5817,,Cocos (Keeling) Islands,1.0,f +32162,,,1.0,t +38573,100%,,1.0,f +19978,100%,,2.0,f +22763,,Guinea,1.0,t +43856,,Afghanistan,1.0,f +27264,,,1.0,f +20813,100%,Togo,2.0,f +45495,,Anguilla,1.0,t +39388,0%,,2.0,t +5904,100%,Mauritania,2.0,f +26061,,Philippines,1.0,t +44890,95%,Wallis and Futuna,9.0,t +41250,,,1.0,f +47847,96%,Indonesia,3.0,f +36150,,Anguilla,1.0,f +32921,,,2.0,t +5967,,Jersey,2.0,f +41249,20%,Niue,3.0,t +20862,,,1.0,t +17291,,,1.0,f +26079,100%,Zimbabwe,1.0,f +41249,20%,Niue,3.0,t +1265,100%,,1.0,f +10686,86%,Tonga,21.0,f +7092,,Guinea,1.0,t +38104,,Marshall Islands,1.0,f +17576,,,1.0,t +50091,,,1.0,f +23594,70%,French Guiana,2.0,t +14375,100%,,1.0,t +2714,100%,Bosnia and Herzegovina,8.0,f +42602,,Sao Tome and Principe,1.0,t +19843,100%,Turkmenistan,3.0,t +19804,,Uzbekistan,2.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +32211,,Anguilla,1.0,f +4989,,Afghanistan,1.0,f +4351,,,1.0,t +22237,,Croatia,1.0,f +15174,,,1.0,f +5915,,Russian Federation,4.0,f +13325,,Maldives,1.0,t +35625,98%,Estonia,25.0,t +20079,100%,,1.0,f +42172,,,1.0,t +22836,100%,,2.0,t +28127,,,1.0,f +5144,,,1.0,f +22232,,Rwanda,3.0,t +23380,100%,Tonga,2.0,f +34609,,Guinea,1.0,f +13842,,,1.0,t +16002,,Uzbekistan,1.0,t +48105,,Uganda,1.0,f +12918,100%,China,9.0,f +7348,100%,Mauritania,1.0,t +22501,100%,Brazil,1.0,t +43535,,Isle of Man,1.0,f +10866,100%,,1.0,t +15484,75%,,1.0,t +814,,,1.0,f +19943,63%,Isle of Man,34.0,f +31357,,French Guiana,2.0,f +21932,100%,,1.0,f +31831,100%,,2.0,t +7933,,,1.0,t +44979,75%,,1.0,f +19949,,Gambia,2.0,t +27801,80%,Niue,1.0,f +47952,100%,,1.0,f +41293,100%,Niue,1.0,f +43961,100%,Gibraltar,9.0,t +17652,50%,Isle of Man,1.0,f +32746,100%,,1.0,t +36528,,Nicaragua,1.0,t +8713,,Maldives,1.0,t +10179,100%,,2.0,f +10283,,Bouvet Island (Bouvetoya),1.0,t +23584,,Bouvet Island (Bouvetoya),1.0,f +4187,,Rwanda,1.0,t +45058,,Reunion,1.0,t +29991,,,1.0,t +45737,,Tonga,29.0,t +1815,,Marshall Islands,2.0,t +24662,,Mexico,1.0,f +32335,,Sao Tome and Principe,1.0,t +37864,,Suriname,1.0,f +11539,,Nicaragua,1.0,f +2714,100%,Bosnia and Herzegovina,8.0,f +46549,,French Guiana,1.0,f +37610,,,1.0,f +9338,100%,Rwanda,1.0,t +25401,,French Guiana,1.0,t +41322,,,1.0,t +42383,,,1.0,f +23118,,,1.0,f +9681,,Vietnam,1.0,t +18051,,Sao Tome and Principe,1.0,f +20334,99%,Niger,171.0,t +3216,100%,Sao Tome and Principe,3.0,f +5967,,Jersey,2.0,f +30125,,,1.0,f +31116,,Sao Tome and Principe,1.0,f +44448,,Venezuela,1.0,t +31753,,,1.0,t +25099,,,1.0,t +4255,,Chad,1.0,t +38796,,Tanzania,1.0,t +42833,,Anguilla,1.0,f +25431,100%,Sao Tome and Principe,1.0,t +29647,100%,Peru,1305.0,f +12493,70%,Sao Tome and Principe,4.0,t +10555,0%,Gambia,1.0,f +8139,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44418,,Russian Federation,1.0,f +15055,,Turkmenistan,1.0,f +14713,100%,,1.0,t +49071,,Kenya,1.0,f +47496,,,1.0,f +33490,100%,Niue,1.0,t +18837,100%,Ecuador,5.0,t +43363,,Faroe Islands,2.0,f +21147,,,2.0,t +1627,,Nicaragua,1.0,t +39152,,,1.0,t +34398,100%,,3.0,t +2455,,Kenya,1.0,t +42112,,Guinea,2.0,t +10450,70%,Cape Verde,4.0,t +3203,100%,Uzbekistan,8.0,f +285,,Malta,1.0,t +33912,,Zimbabwe,2.0,f +151,,,1.0,t +3666,,,1.0,f +21552,,Nicaragua,6.0,f +50037,91%,Guernsey,4.0,t +37131,,,1.0,f +30970,,Papua New Guinea,1.0,t +20929,,,1.0,t +25341,100%,Niue,1.0,t +21957,,Chad,1.0,t +22794,50%,Cape Verde,36.0,t +49284,100%,Gambia,1.0,f +29647,100%,Peru,1305.0,f +4619,,Canada,1.0,t +19795,100%,Estonia,8.0,f +20939,,Niue,1.0,t +7346,,Uzbekistan,1.0,t +32848,,Ukraine,2.0,f +14364,100%,Nauru,9.0,f +13911,100%,Philippines,1.0,t +39195,90%,Brazil,2.0,t +11255,93%,Suriname,41.0,f +16395,100%,Micronesia,2.0,t +21578,100%,,1.0,f +32530,100%,Chad,1.0,t +16563,,Togo,1.0,t +18292,,Niue,1.0,t +47235,,,1.0,f +7372,,Uruguay,1.0,t +32014,100%,,2.0,f +12093,43%,Slovenia,1.0,t +45551,100%,Jersey,2.0,t +9318,,,1.0,f +35137,,Faroe Islands,1.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +15100,100%,,1.0,t +18460,60%,Monaco,6.0,f +21169,,Ghana,1.0,f +9913,70%,Somalia,2.0,t +41397,0%,Guinea,1.0,t +7253,,Russian Federation,1.0,t +11828,,Russian Federation,1.0,f +15422,,Suriname,1.0,t +38998,,Uzbekistan,1.0,t +5146,100%,Afghanistan,1.0,f +43687,,,1.0,f +42820,100%,Gibraltar,6.0,f +43281,100%,Micronesia,5.0,f +37646,100%,Estonia,60.0,f +8667,,,2.0,f +14892,100%,Turkmenistan,1.0,t +7879,,,1.0,t +45604,,,1.0,t +2183,100%,Isle of Man,3.0,f +6100,,Jersey,1.0,f +40764,,Anguilla,1.0,t +30349,,El Salvador,1.0,f +31734,,Lebanon,1.0,f +47292,78%,,1.0,f +10545,,,1.0,f +44247,100%,Russian Federation,3.0,f +3583,,Niue,1.0,f +4084,100%,,2.0,t +46707,100%,,1.0,f +9865,,Lebanon,1.0,t +15115,80%,,1.0,t +15696,,Uzbekistan,1.0,f +27528,100%,Gambia,2.0,t +48169,,Uganda,1.0,t +3430,40%,Niger,1.0,f +28228,,,1.0,f +5953,,Tunisia,1.0,f +8444,0%,,1.0,t +19016,100%,Kiribati,1.0,t +34159,100%,,2.0,f +36186,,Marshall Islands,1.0,f +40122,67%,Philippines,1.0,f +19618,100%,Uganda,1.0,f +24459,,,1.0,f +6894,80%,Estonia,47.0,t +22334,100%,,1.0,t +20846,,,1.0,f +36870,,Mexico,1.0,f +21970,,,1.0,f +882,,Vanuatu,2.0,t +7042,,,1.0,f +44266,,,1.0,t +34165,,,1.0,f +44563,100%,Nicaragua,1.0,f +31415,,Tonga,4.0,t +17795,100%,Uzbekistan,11.0,t +4886,100%,Philippines,2.0,f +12628,,,1.0,t +2021,100%,,1.0,f +38469,100%,Cocos (Keeling) Islands,3.0,t +36964,,Croatia,1.0,t +15327,,,2.0,t +32741,100%,Isle of Man,3.0,f +18430,,Lebanon,2.0,t +4274,100%,Guernsey,2.0,t +34133,100%,,1.0,f +15014,100%,Rwanda,3.0,f +35304,100%,Tonga,12.0,t +13754,,Mexico,1.0,t +38581,,,1.0,f +20975,100%,Gambia,2.0,f +21336,,Guinea,1.0,f +31773,100%,,1.0,t +32554,,Guinea,1.0,f +32180,,Sao Tome and Principe,1.0,f +32185,,Russian Federation,1.0,f +21856,,Canada,1.0,f +23195,,,1.0,t +14545,100%,Turks and Caicos Islands,1.0,t +868,,Kenya,1.0,t +14966,100%,,1.0,t +6780,,Zimbabwe,2.0,t +6894,80%,Estonia,47.0,t +41575,,Niue,1.0,f +5106,,Kenya,1.0,f +33657,50%,Montserrat,1.0,t +33498,,,1.0,f +8218,,Monaco,1.0,f +38111,0%,Djibouti,1.0,t +10921,,Kenya,1.0,f +3605,,,1.0,t +42830,,Peru,1.0,t +47652,,Kenya,1.0,f +14419,92%,Cuba,2.0,t +33822,,Chad,1.0,f +43636,,,1.0,f +10185,,Mexico,1.0,t +32373,,Afghanistan,1.0,t +547,,Guinea,1.0,t +25419,,,1.0,t +24838,100%,Isle of Man,2.0,t +29393,73%,Zimbabwe,1.0,t +3203,100%,Uzbekistan,8.0,f +34326,,Guinea,1.0,t +33962,,Korea,1.0,f +9993,,,1.0,t +17558,100%,Chile,1.0,f +29933,100%,Faroe Islands,3.0,t +39136,100%,,1.0,f +1187,,,1.0,t +34287,,Tanzania,1.0,f +46864,,Denmark,1.0,f +30678,100%,Tanzania,2.0,t +10359,100%,United Kingdom,1.0,t +44827,,Senegal,1.0,f +19958,100%,Congo,40.0,t +34697,,Indonesia,1.0,f +11454,100%,Montserrat,2.0,f +20381,,,1.0,t +45021,,Russian Federation,1.0,t +1011,97%,Russian Federation,8.0,t +5434,,French Guiana,2.0,t +46202,100%,,2.0,t +5805,100%,,1.0,t +11854,,,1.0,f +9374,100%,Puerto Rico,1.0,t +9356,,Nauru,1.0,f +33942,,Ghana,1.0,f +2720,,Isle of Man,1.0,f +14741,,,1.0,t +23424,,Lebanon,1.0,t +19468,,Niue,1.0,f +43446,,Nauru,1.0,f +10213,,,1.0,f +22933,100%,Zimbabwe,4.0,f +32980,100%,Micronesia,1.0,f +27511,,,1.0,t +36951,100%,,1.0,t +34944,,,1.0,t +2326,,Marshall Islands,1.0,t +21055,100%,,2.0,t +39961,,Russian Federation,1.0,f +28828,100%,Isle of Man,198.0,t +44938,100%,Cape Verde,1.0,t +2644,100%,Zimbabwe,11.0,t +5376,100%,Isle of Man,2.0,t +27031,,Rwanda,1.0,f +8699,100%,Niue,1.0,t +10366,,United Kingdom,1.0,t +39629,,,1.0,f +2362,,,1.0,f +356,99%,Wallis and Futuna,32.0,t +35499,94%,Andorra,4.0,f +3101,100%,Puerto Rico,27.0,f +19944,100%,Kiribati,12.0,f +4423,,Jersey,1.0,f +22410,,,1.0,f +44677,100%,Bosnia and Herzegovina,1.0,t +21178,100%,,1.0,t +48023,,Russian Federation,3.0,f +26237,0%,Korea,1.0,f +21993,,Zimbabwe,1.0,t +5596,100%,Monaco,1.0,f +31713,,,1.0,f +26206,100%,Mexico,3.0,f +41058,,Afghanistan,1.0,t +49714,100%,Montserrat,1.0,t +22052,,,1.0,f +46120,100%,Poland,4.0,t +38236,,Finland,2.0,f +27920,,Guinea,1.0,f +25137,,Guinea,1.0,t +20476,,,1.0,f +29014,100%,,1.0,f +42224,,,1.0,t +16881,100%,Vietnam,1.0,t +80,,Russian Federation,1.0,f +14023,,Monaco,1.0,t +19943,63%,Isle of Man,34.0,f +41734,,,1.0,t +24922,,Finland,1.0,t +21560,,,1.0,t +45186,100%,,1.0,t +48603,100%,Guinea,40.0,f +5184,,Mauritania,1.0,t +32691,100%,Nicaragua,1.0,f +32647,,Zimbabwe,1.0,t +46884,100%,Turks and Caicos Islands,2.0,f +16315,100%,,1.0,t +11135,,,1.0,f +6992,100%,Isle of Man,1.0,f +12758,100%,,1.0,f +45200,,,1.0,t +40277,,Lebanon,1.0,t +35120,,Malta,2.0,t +46887,100%,Gambia,1.0,f +21209,,Reunion,1.0,t +39861,100%,,1.0,t +3101,100%,Puerto Rico,27.0,f +24164,0%,,1.0,f +3101,100%,Puerto Rico,27.0,f +8883,,Jersey,1.0,f +3101,100%,Puerto Rico,27.0,f +3101,100%,Puerto Rico,27.0,f +12262,100%,Niue,2.0,f +35134,,Ecuador,2.0,f +9660,,Lebanon,2.0,t +3101,100%,Puerto Rico,27.0,f +20394,67%,United Kingdom,1.0,f +22794,50%,Cape Verde,36.0,t +46154,100%,,1.0,t +17205,,San Marino,1.0,f +11114,100%,,1.0,t +20035,,,1.0,f +9678,,,2.0,t +499,100%,,2.0,t +44661,100%,Uzbekistan,1.0,f +41542,,,2.0,t +38361,100%,Nauru,1.0,f +20016,,,1.0,f +32310,,Estonia,1.0,f +29647,100%,Peru,1305.0,f +47213,,Nicaragua,1.0,f +9255,,Vietnam,10.0,f +32922,,Malta,1.0,t +2134,100%,Montserrat,1.0,f +16939,,Senegal,11.0,t +32824,100%,Indonesia,1.0,t +19027,,Russian Federation,1.0,t +1295,,,2.0,t +12102,,,1.0,t +33311,100%,,1.0,t +23666,,Sao Tome and Principe,1.0,t +28983,,,1.0,t +16068,100%,Russian Federation,5.0,t +30574,,El Salvador,2.0,t +12801,,,1.0,t +982,99%,Marshall Islands,32.0,f +40595,100%,Turkmenistan,1.0,f +46975,100%,Lebanon,1.0,t +37531,,Chile,1.0,t +20356,,Montserrat,1.0,t +12601,,Gibraltar,2.0,t +12688,100%,,1.0,t +16266,90%,,3.0,f +41531,,Wallis and Futuna,1.0,f +46819,,,1.0,f +37015,,,1.0,t +15564,,,1.0,t +18460,60%,Monaco,6.0,f +27863,,Chad,1.0,t +39472,,,2.0,t +10994,,Russian Federation,2.0,t +16374,,,2.0,f +11039,,,1.0,t +30841,,,1.0,t +24625,100%,Micronesia,1.0,t +10242,100%,,1.0,f +18014,,Isle of Man,1.0,f +39712,,Turkmenistan,1.0,f +20902,,,1.0,f +1866,,Estonia,1.0,f +46886,50%,,2.0,t +9001,100%,,1.0,t +33073,100%,China,2.0,f +2165,,Gambia,1.0,t +31453,,United Kingdom,1.0,t +21808,,Brazil,1.0,t +39530,,Marshall Islands,1.0,t +18059,,,1.0,f +14926,100%,Gambia,2.0,t +9660,,Lebanon,2.0,t +15035,,,1.0,f +28489,90%,Malta,5.0,t +47030,70%,,1.0,f +30242,,,1.0,f +47847,96%,Indonesia,3.0,f +33269,,Ecuador,4.0,f +30724,,Lebanon,1.0,f +10827,,,1.0,f +13440,,Micronesia,1.0,t +9429,100%,,4.0,f +9957,,Chad,3.0,t +3193,100%,Latvia,2.0,f +15887,,,1.0,f +44445,100%,,1.0,f +24243,,,2.0,t +48392,,,1.0,f +22616,,Cocos (Keeling) Islands,1.0,f +10450,70%,Cape Verde,4.0,t +5518,,Lithuania,1.0,f +19217,98%,Marshall Islands,46.0,f +29460,,Isle of Man,1.0,t +40474,74%,Russian Federation,3.0,f +26049,,,1.0,f +10320,92%,Tonga,10.0,f +10320,92%,Tonga,10.0,f +17387,,Malawi,1.0,t +16489,100%,Russian Federation,42.0,t +44105,,Afghanistan,1.0,f +4817,,Russian Federation,1.0,t +40013,100%,El Salvador,3.0,t +27526,100%,,2.0,t +17466,,Cocos (Keeling) Islands,2.0,t +31750,100%,,2.0,f +15509,,,1.0,t +40085,,Russian Federation,1.0,f +30222,,Somalia,1.0,t +39346,,Guinea,1.0,t +1117,,France,1.0,f +29458,,Russian Federation,1.0,t +46143,100%,Ecuador,3.0,f +23710,100%,Gambia,5.0,f +49807,100%,,1.0,t +45108,,Holy See (Vatican City State),1.0,f +28828,100%,Isle of Man,198.0,t +18077,100%,Sao Tome and Principe,139.0,f +49991,90%,,1.0,f +8693,,Lebanon,1.0,t +29729,,,1.0,f +48354,,,1.0,f +18354,100%,Gibraltar,1.0,t +5814,100%,Venezuela,1.0,f +41193,100%,Rwanda,1.0,f +10909,100%,Turks and Caicos Islands,3.0,t +11672,100%,Kiribati,6.0,t +39549,,French Guiana,1.0,f +31325,100%,,1.0,t +48635,100%,El Salvador,1.0,t +33340,,,2.0,f +12122,75%,,1.0,t +43180,,,1.0,f +45737,,Tonga,29.0,t +28044,95%,Brazil,1.0,f +15074,,Rwanda,1.0,f +16266,90%,,3.0,f +43804,,,1.0,f +42342,,Tanzania,1.0,t +41471,,Chad,1.0,f +37623,100%,,1.0,t +31294,,,1.0,t +4044,,Malta,1.0,f +14618,,Russian Federation,1.0,t +41569,,Denmark,1.0,t +13987,,United Kingdom,1.0,f +36643,98%,Maldives,17.0,f +21096,,Uzbekistan,1.0,t +47058,,,4.0,f +48709,100%,Andorra,2.0,t +27176,,Montserrat,1.0,t +11443,,,1.0,t +31357,,French Guiana,2.0,f +16884,,French Polynesia,1.0,f +25019,,Malta,3.0,f +18609,,Anguilla,1.0,f +16403,,China,1.0,f +22301,100%,Marshall Islands,1.0,t +40271,50%,Niue,1.0,f +10912,,Reunion,1.0,f +15451,,Bouvet Island (Bouvetoya),1.0,f +683,,Lebanon,1.0,t +45985,,,1.0,t +15300,100%,Russian Federation,3.0,t +29472,80%,Anguilla,1.0,f +33922,50%,Tanzania,1.0,t +25784,,Peru,1.0,f +38929,,Niue,1.0,f +45412,100%,Tanzania,2.0,t +37839,100%,,2.0,t +38436,,,1.0,f +9898,,French Guiana,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +45553,90%,Brazil,16.0,t +34769,80%,Pakistan,3.0,t +10923,,Brazil,1.0,t +18740,,Niue,1.0,f +23879,,Isle of Man,1.0,f +5575,67%,Niue,1.0,t +2486,,,1.0,f +20248,,Niger,1.0,f +22792,,,1.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +37591,,,1.0,f +418,,Niger,1.0,t +35810,,,1.0,f +9783,,China,1.0,t +23817,,Lebanon,1.0,f +15360,,,2.0,t +27288,50%,Nicaragua,2.0,f +16625,,,1.0,f +38724,,Isle of Man,1.0,f +25742,100%,Rwanda,1.0,f +11825,,Rwanda,3.0,f +20311,,Monaco,1.0,f +19534,50%,Uganda,3.0,t +1570,,,1.0,f +17795,100%,Uzbekistan,11.0,t +46010,100%,,1.0,f +5137,,Chad,2.0,t +35117,100%,Venezuela,1.0,t +40429,,,1.0,t +48905,100%,,1.0,f +4332,,Uzbekistan,1.0,t +7173,,Cocos (Keeling) Islands,1.0,f +42800,100%,Tunisia,5.0,t +22236,,Niue,1.0,t +87,,Maldives,1.0,t +25195,,Isle of Man,1.0,f +48190,,Sao Tome and Principe,1.0,t +46855,,Jersey,1.0,t +40409,,Marshall Islands,1.0,f +13024,,Reunion,3.0,t +8596,,Brazil,1.0,f +31028,,,1.0,f +29105,100%,Zimbabwe,1.0,t +2929,,,1.0,f +26947,,Chad,1.0,t +47143,100%,Anguilla,1.0,t +24985,90%,,7.0,t +26213,100%,Guinea,1.0,f +21973,,,1.0,t +7617,,China,1.0,t +7654,100%,Tonga,2.0,t +30048,,Palestinian Territory,1.0,t +9813,,,1.0,f +43152,100%,Nicaragua,82.0,t +33520,100%,Malawi,1.0,f +28756,100%,Jersey,1.0,t +28749,,Isle of Man,1.0,t +23523,,Mauritania,1.0,f +18626,100%,Nicaragua,1.0,t +26712,,,1.0,t +16972,,Kiribati,1.0,f +47821,69%,Indonesia,2.0,t +45960,,Peru,1.0,f +20878,100%,,1.0,f +44803,,Uzbekistan,1.0,f +44021,100%,Maldives,1.0,f +27725,100%,Lithuania,1.0,f +42293,100%,,1.0,t +33768,,United Kingdom,1.0,f +27727,,Gambia,1.0,f +49044,,Cape Verde,2.0,t +2019,100%,Malta,7.0,f +1676,,Kenya,1.0,f +32302,,,1.0,t +44308,97%,Niue,5.0,f +31400,,Niue,1.0,t +29647,100%,Peru,1305.0,f +4010,100%,,1.0,t +45870,100%,Puerto Rico,2.0,t +36704,,,1.0,f +26789,,Guinea,3.0,t +29870,,,1.0,t +22124,,Tonga,1.0,t +34424,,,1.0,t +35625,98%,Estonia,25.0,t +28828,100%,Isle of Man,198.0,t +48603,100%,Guinea,40.0,f +49331,,Isle of Man,1.0,t +14890,100%,Svalbard & Jan Mayen Islands,1.0,t +48603,100%,Guinea,40.0,f +3941,100%,,3.0,f +36576,100%,Tonga,4.0,t +11495,,Guinea,1.0,f +49619,,Gibraltar,1.0,f +23241,,,1.0,t +345,100%,French Guiana,1.0,f +20831,,Gibraltar,3.0,t +3958,100%,United Kingdom,1.0,t +32713,,Kiribati,2.0,t +47233,100%,Saint Helena,3.0,t +1147,,Tonga,1.0,t +47254,50%,,2.0,t +48603,100%,Guinea,40.0,f +18824,100%,,1.0,t +13723,100%,Gambia,4.0,t +49518,,,1.0,f +4878,,Micronesia,1.0,t +8094,,Sao Tome and Principe,1.0,f +24007,100%,Uganda,4.0,t +35674,,Niue,1.0,f +41067,,Turkmenistan,2.0,t +8705,,Lebanon,1.0,f +18971,91%,,1.0,f +7359,,Lebanon,2.0,t +33832,0%,Denmark,7.0,t +39504,,France,1.0,f +21827,,,1.0,t +879,,,1.0,f +16334,,China,1.0,f +31715,100%,Tonga,1.0,f +10279,,,1.0,t +33717,,French Guiana,1.0,t +14124,100%,,2.0,t +10179,100%,,2.0,f +8156,,Russian Federation,3.0,f +10277,67%,,1.0,f +15378,100%,Gambia,1.0,t +36938,,Tonga,1.0,f +44815,100%,Slovakia (Slovak Republic),1.0,f +18086,,,1.0,t +17922,100%,Jersey,2.0,t +45240,,,1.0,t +27894,,Zimbabwe,1.0,f +8412,100%,,1.0,f +11999,,,1.0,f +24597,100%,,1.0,t +38215,100%,,1.0,f +44666,100%,Uzbekistan,1.0,t +7091,100%,Korea,1.0,f +18646,,,1.0,t +2339,100%,Marshall Islands,3.0,t +21964,,Peru,1.0,f +5050,,,1.0,t +46141,100%,,3.0,f +46210,,French Guiana,1.0,t +27538,,Russian Federation,1.0,f +18113,,Greenland,1.0,t +38654,100%,Jersey,2.0,f +33832,0%,Denmark,7.0,t +29508,,,1.0,f +33832,0%,Denmark,7.0,t +19600,100%,Uzbekistan,1.0,t +30490,100%,Venezuela,2.0,t +27301,,French Guiana,2.0,t +28905,,,1.0,t +21899,,Isle of Man,1.0,t +39512,,Kenya,1.0,t +30566,,France,1.0,f +16279,100%,Uzbekistan,1.0,t +17922,100%,Jersey,2.0,t +31575,,,1.0,t +47233,100%,Saint Helena,3.0,t +23106,100%,,3.0,f +23480,100%,,3.0,t +14456,,Turkmenistan,1.0,t +8577,100%,Malta,1.0,t +42819,100%,Lebanon,2.0,f +35154,,Kiribati,1.0,t +19633,,Brazil,1.0,t +46978,,El Salvador,1.0,f +27809,,Zimbabwe,1.0,t +39466,,,1.0,f +29449,86%,Bosnia and Herzegovina,1.0,f +15903,,,1.0,t +45665,100%,Lithuania,1.0,t +10856,40%,,1.0,f +8917,,Rwanda,1.0,f +33302,,Micronesia,1.0,t +43792,,Russian Federation,1.0,t +15595,,,1.0,f +17088,,Korea,1.0,t +44022,,,1.0,f +48603,100%,Guinea,40.0,f +28828,100%,Isle of Man,198.0,t +35795,100%,Vanuatu,2.0,t +9501,90%,,2.0,f +45651,0%,,1.0,f +39514,,Philippines,1.0,t +13998,,,1.0,t +28629,100%,,2.0,t +35892,,El Salvador,1.0,f +2409,100%,,3.0,t +6610,,Guinea,1.0,t +37224,,El Salvador,2.0,f +26249,,Cuba,2.0,t +39449,100%,Rwanda,1.0,f +39342,100%,Micronesia,3.0,f +48505,,Chad,1.0,f +10105,,Faroe Islands,1.0,f +2402,,,1.0,f +13355,,Maldives,1.0,f +8971,,,1.0,t +29113,,Gambia,1.0,f +49454,,Uzbekistan,2.0,t +36535,100%,Mauritania,1.0,f +46007,100%,,1.0,f +10233,,Barbados,2.0,f +33019,,,1.0,t +12506,,Ghana,3.0,t +46832,100%,Niue,2.0,t +17268,,Mexico,1.0,t +2051,70%,Fiji,4.0,f +48010,100%,Jersey,1.0,f +29114,,Monaco,1.0,f +45676,,Tanzania,1.0,f +49751,100%,,2.0,f +8016,100%,French Guiana,1.0,t +17043,100%,Monaco,1.0,f +23833,100%,Barbados,1.0,f +9319,,French Guiana,1.0,t +48636,,Monaco,1.0,f +15410,100%,Gambia,1.0,f +11255,93%,Suriname,41.0,f +36664,,Gibraltar,1.0,t +9623,,Somalia,1.0,f +10075,90%,Jersey,2.0,f +46314,100%,Russian Federation,1.0,t +31766,,Jersey,1.0,f +18427,,,1.0,f +42654,100%,,1.0,t +18567,,Nicaragua,1.0,t +42884,,Netherlands Antilles,1.0,t +6947,100%,Afghanistan,1.0,f +29682,,China,1.0,t +44727,,Chile,1.0,t +6117,,Mauritania,1.0,t +2266,100%,Tonga,10.0,t +4403,,Turkmenistan,1.0,f +13130,100%,,1.0,t +43099,,,1.0,f +7618,,,1.0,t +7367,,,1.0,t +8244,,Togo,2.0,t +39108,,Puerto Rico,1.0,f +32135,100%,Libyan Arab Jamahiriya,1.0,t +27933,100%,Sao Tome and Principe,1.0,f +23739,,Uzbekistan,1.0,f +27608,,,1.0,f +31283,,Guinea,1.0,t +13106,,Marshall Islands,1.0,f +47875,,Turks and Caicos Islands,2.0,f +26014,,,1.0,f +32739,,,1.0,t +9400,,,1.0,f +47169,100%,French Polynesia,1.0,f +28828,100%,Isle of Man,198.0,t +30565,100%,Venezuela,1.0,f +37646,100%,Estonia,60.0,f +28183,,,5.0,f +37646,100%,Estonia,60.0,f +12178,,,1.0,f +43588,100%,Fiji,7.0,f +20064,,Montserrat,1.0,f +9594,,Nicaragua,1.0,t +49210,,,1.0,f +44201,,Rwanda,1.0,f +4439,,Chad,3.0,t +39472,,,2.0,t +6725,,Lebanon,2.0,t +43111,,Tonga,1.0,f +22331,99%,Rwanda,50.0,t +36547,,Turks and Caicos Islands,1.0,t +7661,100%,Venezuela,1.0,f +30432,0%,,1.0,f +1972,,,1.0,f +33703,100%,French Guiana,1.0,f +11072,,Russian Federation,1.0,f +43394,,Russian Federation,1.0,f +38057,,Chad,1.0,f +21147,,,2.0,t +21566,,Rwanda,1.0,t +21480,,Faroe Islands,1.0,f +24836,100%,Kiribati,4.0,f +16959,,Marshall Islands,1.0,f +41878,91%,Maldives,47.0,f +32355,,Svalbard & Jan Mayen Islands,1.0,t +41008,100%,Venezuela,6.0,f +31810,,Chile,1.0,t +12321,100%,,1.0,f +9056,,Marshall Islands,1.0,t +28258,89%,Bouvet Island (Bouvetoya),2.0,t +2927,100%,Uganda,10.0,t +4503,100%,Guinea,2.0,f +27957,,Niue,1.0,t +35120,,Malta,2.0,t +18379,100%,,1.0,t +12164,100%,Nicaragua,8.0,f +40355,96%,Maldives,8.0,t +18712,95%,Turks and Caicos Islands,11.0,t +9724,100%,,1.0,f +29749,100%,Senegal,1.0,t +31347,,France,1.0,t +17778,100%,Indonesia,3.0,f +35665,,Jersey,2.0,t +27018,,Uzbekistan,1.0,t +12718,100%,Indonesia,2.0,f +37360,,Lithuania,1.0,f +23581,,Russian Federation,1.0,t +4081,100%,,1.0,f +8877,,Micronesia,1.0,f +46089,100%,Sao Tome and Principe,3.0,t +17126,,,1.0,t +6939,,,1.0,t +22696,100%,Gambia,2.0,f +43253,,,1.0,t +9155,,,1.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +21963,,,1.0,f +37646,100%,Estonia,60.0,f +28828,100%,Isle of Man,198.0,t +33832,0%,Denmark,7.0,t +39064,,Nicaragua,1.0,f +33832,0%,Denmark,7.0,t +11459,,Micronesia,1.0,f +35770,,Russian Federation,1.0,t +23712,,Russian Federation,1.0,f +16309,,,1.0,f +46765,,Croatia,2.0,f +9842,,Netherlands Antilles,1.0,t +44129,,Senegal,2.0,f +33313,,Djibouti,1.0,f +27630,100%,French Guiana,1.0,t +31883,,Uganda,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +401,,Mexico,1.0,f +39739,,Afghanistan,1.0,f +35411,100%,Mauritania,2.0,f +32923,,Cocos (Keeling) Islands,1.0,f +4424,,Malawi,1.0,t +21749,,,1.0,f +24026,98%,Cape Verde,69.0,t +35784,,,1.0,t +49868,100%,,2.0,t +23493,,Vanuatu,1.0,f +30488,,Croatia,1.0,t +14005,,Faroe Islands,1.0,f +19976,,Cape Verde,1.0,t +4876,,Senegal,9.0,f +39515,100%,United Kingdom,5.0,t +8244,,Togo,2.0,t +22001,,,1.0,t +1437,,,1.0,f +4876,,Senegal,9.0,f +12075,,Zimbabwe,1.0,f +45019,50%,,1.0,t +12495,,Lebanon,1.0,t +8736,,Niue,1.0,t +47308,100%,,1.0,f +47384,100%,Vanuatu,2.0,f +44858,,Niger,1.0,t +41866,100%,,4.0,t +21445,100%,,1.0,t +24529,,Maldives,2.0,f +47241,,Togo,3.0,f +5579,,Anguilla,1.0,f +18771,,Russian Federation,1.0,f +12739,,Vanuatu,1.0,t +19981,,,1.0,f +35415,,Isle of Man,1.0,f +12974,,Venezuela,1.0,t +19944,100%,Kiribati,12.0,f +44100,100%,Niue,1.0,f +12704,,Kenya,1.0,t +2488,100%,Slovakia (Slovak Republic),1.0,t +31415,,Tonga,4.0,t +43789,,,1.0,f +31415,,Tonga,4.0,t +2266,100%,Tonga,10.0,t +6462,100%,,1.0,f +42810,,Niue,1.0,t +46633,,Nicaragua,1.0,f +7498,,Zimbabwe,2.0,t +19217,98%,Marshall Islands,46.0,f +2927,100%,Uganda,10.0,t +12220,,El Salvador,1.0,t +40336,,Rwanda,2.0,f +39623,100%,Niger,3.0,t +31249,,,1.0,f +47857,,French Guiana,1.0,t +46615,100%,,1.0,t +44924,,Niue,1.0,f +17136,,Niue,1.0,f +28056,,,1.0,t +13485,100%,Malta,2.0,t +15934,,Niue,2.0,f +15934,,Niue,2.0,f +32531,100%,Togo,4.0,f +42450,100%,Jersey,1.0,t +1027,,Gibraltar,1.0,t +7756,70%,Isle of Man,2.0,t +45642,40%,Nicaragua,1.0,f +48061,,Russian Federation,1.0,t +13067,,Isle of Man,1.0,f +23173,100%,Nicaragua,1.0,f +36387,,,1.0,f +4159,,Niue,1.0,f +3600,,,1.0,t +26352,,Somalia,1.0,f +43440,,French Guiana,1.0,t +44066,,Philippines,1.0,t +32986,100%,,1.0,t +32675,100%,Kiribati,4.0,t +44478,,Bouvet Island (Bouvetoya),1.0,t +31899,100%,Bouvet Island (Bouvetoya),6.0,f +34670,,Niue,1.0,f +48208,100%,,2.0,f +24204,,Maldives,1.0,t +4824,,,1.0,f +12132,100%,,1.0,t +29647,100%,Peru,1305.0,f +10711,93%,Uganda,108.0,t +45103,100%,,1.0,t +1971,,Somalia,1.0,f +32675,100%,Kiribati,4.0,t +46408,,,1.0,f +24903,,French Guiana,1.0,t +2267,,,1.0,f +1004,,Holy See (Vatican City State),2.0,t +44798,,United Kingdom,1.0,f +23380,100%,Tonga,2.0,f +13342,,Denmark,1.0,t +50018,,Rwanda,1.0,f +35319,,Micronesia,1.0,f +19730,,Bahrain,1.0,t +24627,90%,,1.0,t +46347,,Somalia,6.0,t +17015,100%,France,1.0,t +36243,,,1.0,f +32390,,,1.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +17604,67%,,1.0,t +49353,,,1.0,t +17013,100%,,1.0,f +11959,100%,Gibraltar,2.0,t +32042,,Tonga,1.0,t +7988,100%,Mauritania,1.0,f +42386,100%,Ecuador,6.0,t +18806,100%,Vietnam,6.0,t +11000,,Brunei Darussalam,1.0,f +10759,,Ecuador,1.0,t +33611,,Canada,1.0,t +41328,90%,French Guiana,1.0,t +48564,100%,Vanuatu,1.0,t +10593,,Netherlands,1.0,f +43705,,,1.0,f +11531,,Marshall Islands,2.0,t +15582,,,1.0,f +24801,,,1.0,t +34553,100%,Tonga,1.0,t +24043,,Chad,1.0,t +41463,75%,Zimbabwe,1.0,t +30282,,Rwanda,1.0,f +42574,,Jersey,10.0,t +6293,,Sao Tome and Principe,1.0,f +24555,0%,,1.0,f +42784,,,1.0,t +41273,,Bosnia and Herzegovina,1.0,f +42745,100%,,1.0,t +27014,,Denmark,1.0,t +30627,,Ghana,1.0,f +42580,100%,Costa Rica,3.0,f +970,100%,Marshall Islands,2.0,f +9804,100%,Russian Federation,1.0,f +1984,,Mauritania,3.0,t +13049,100%,,1.0,t +40355,96%,Maldives,8.0,t +9233,,Greenland,1.0,f +27742,,Kiribati,1.0,t +42574,,Jersey,10.0,t +42574,,Jersey,10.0,t +6640,,Micronesia,1.0,f +17744,,Nicaragua,1.0,t +36513,,Tonga,1.0,t +28229,100%,Russian Federation,1.0,t +12333,100%,,1.0,t +4904,100%,Guinea,1.0,f +11625,,French Guiana,1.0,t +435,,Somalia,1.0,t +5872,,,1.0,f +25705,,Russian Federation,1.0,t +12483,,,1.0,t +16700,,Svalbard & Jan Mayen Islands,1.0,f +27252,100%,Russian Federation,1.0,f +41051,100%,Gambia,1.0,t +33425,,,1.0,f +14783,100%,Nicaragua,1.0,t +11638,,,1.0,f +29234,100%,Togo,9.0,t +49482,,Vietnam,1.0,t +27186,100%,Zimbabwe,7.0,t +35760,,Isle of Man,1.0,t +29783,,Russian Federation,1.0,t +33231,100%,Sao Tome and Principe,2.0,f +4200,100%,Turks and Caicos Islands,1.0,t +1298,100%,,1.0,t +41071,100%,Faroe Islands,1.0,f +3737,,Turkmenistan,1.0,f +34715,,Guinea,1.0,t +49616,,Ukraine,1.0,t +40710,90%,Russian Federation,3.0,t +39571,67%,Togo,2.0,f +25933,100%,Slovenia,1.0,t +27290,100%,Brazil,3.0,f +24774,,,1.0,t +14946,,Somalia,1.0,t +1238,100%,,1.0,t +32686,78%,Micronesia,2.0,t +34509,,Gibraltar,1.0,f +18983,50%,,1.0,f +24473,,Costa Rica,17.0,f +42774,,Guinea,1.0,t +44144,100%,,1.0,f +1232,100%,,21.0,f +25886,,France,1.0,f +49733,,,1.0,t +28101,67%,Gibraltar,1.0,f +31711,,,1.0,f +27603,100%,Pakistan,1.0,t +23022,67%,Niue,10.0,t +19175,,,1.0,f +49155,,Russian Federation,1.0,f +45007,100%,Niue,1.0,f +49926,,Marshall Islands,3.0,f +4599,,,1.0,f +29051,,Maldives,1.0,t +44531,,Cocos (Keeling) Islands,2.0,f +45902,,Sao Tome and Principe,5.0,t +9966,,Chad,1.0,f +42173,100%,Turkmenistan,1.0,t +45902,,Sao Tome and Principe,5.0,t +41166,80%,,1.0,f +48292,,,1.0,f +28070,,Isle of Man,2.0,t +45902,,Sao Tome and Principe,5.0,t +5466,100%,,1.0,t +35658,,Zimbabwe,1.0,f +29050,,,1.0,t +40078,100%,Croatia,7.0,t +46034,,,3.0,f +10817,96%,Slovakia (Slovak Republic),3.0,t +18875,100%,,1.0,f +10817,96%,Slovakia (Slovak Republic),3.0,t +47103,100%,,1.0,f +18285,,Niue,1.0,t +33903,,Togo,2.0,t +1000,,French Guiana,1.0,t +32950,,Zimbabwe,1.0,t +40483,50%,Niue,1.0,f +1358,,,1.0,f +34961,,United Kingdom,1.0,t +136,,,1.0,t +10711,93%,Uganda,108.0,t +35514,,French Guiana,1.0,f +41936,90%,Afghanistan,1.0,t +10711,93%,Uganda,108.0,t +23473,,Niue,1.0,t +8258,,Guinea,1.0,t +38938,100%,Zimbabwe,1.0,t +40069,,France,1.0,t +3195,,,1.0,f +19394,,,1.0,f +12219,,Jersey,1.0,f +26946,100%,,2.0,f +2541,100%,Ecuador,1.0,t +19842,85%,Turkmenistan,53.0,f +19420,,,1.0,f +19842,85%,Turkmenistan,53.0,f +46481,,Philippines,4.0,t +14579,100%,Uzbekistan,1.0,t +8394,,,1.0,t +28183,,,5.0,f +17511,88%,Niue,1.0,f +28070,,Isle of Man,2.0,t +4037,100%,Kiribati,11.0,f +5364,100%,,1.0,f +14083,100%,,2.0,t +48756,100%,Maldives,59.0,f +48712,,Rwanda,1.0,f +11924,,,3.0,f +2507,,Gambia,1.0,f +38790,,,1.0,t +975,100%,,1.0,f +8862,100%,Nicaragua,3.0,f +27230,,Tonga,1.0,t +19842,85%,Turkmenistan,53.0,f +34306,91%,Wallis and Futuna,30.0,t +29034,100%,Tonga,1.0,f +31117,80%,Croatia,3.0,t +40674,100%,Maldives,3.0,f +44746,,Russian Federation,1.0,f +37665,100%,Wallis and Futuna,4.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +2634,,Russian Federation,1.0,t +22020,,,1.0,f +27718,100%,,1.0,t +12411,,,1.0,t +7194,,,1.0,f +45225,,Sao Tome and Principe,1.0,f +10817,96%,Slovakia (Slovak Republic),3.0,t +17935,,,1.0,f +26946,100%,,2.0,f +19842,85%,Turkmenistan,53.0,f +6526,,Lebanon,2.0,t +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +47149,,United Kingdom,1.0,f +32090,100%,,1.0,t +29513,,Netherlands,1.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +29254,100%,Russian Federation,1.0,t +7778,100%,Mauritania,7.0,t +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +32467,100%,Lithuania,3.0,t +48683,100%,Uzbekistan,2.0,t +43588,100%,Fiji,7.0,f +12891,,Lebanon,1.0,t +42723,,Denmark,1.0,f +21489,100%,,1.0,f +45701,100%,Nauru,2.0,f +30733,100%,Malawi,1.0,t +21315,100%,Uzbekistan,2.0,f +14623,,Afghanistan,1.0,f +46293,,,1.0,f +36730,,,2.0,f +5827,,Anguilla,1.0,t +46278,,,1.0,f +47120,100%,Philippines,1.0,t +45859,,Guinea,1.0,f +20679,,Chile,1.0,f +37545,,Saint Helena,1.0,f +11660,100%,Marshall Islands,1.0,f +43956,,,1.0,t +44078,,Indonesia,1.0,f +35472,100%,Senegal,1.0,t +13616,,Bahrain,1.0,f +41320,,China,1.0,t +20808,90%,Gambia,3.0,t +35704,100%,Papua New Guinea,5.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +33450,100%,Jersey,1.0,t +21371,,Guinea,2.0,f +37845,14%,,1.0,t +42914,100%,Cocos (Keeling) Islands,2.0,f +26908,,,1.0,t +3041,,Estonia,1.0,f +37198,,United Kingdom,1.0,t +899,,Jersey,2.0,t +1150,,Nauru,4.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +28755,100%,Brazil,1.0,f +18964,100%,Marshall Islands,2.0,f +7885,,French Polynesia,1.0,f +39743,,Lebanon,1.0,f +33721,100%,,1.0,t +32642,,Canada,1.0,f +26937,,Chad,1.0,f +31805,99%,Mauritania,20.0,f +1518,,,1.0,f +28073,100%,Marshall Islands,1.0,t +47659,,Isle of Man,1.0,f +10572,100%,Niue,1.0,f +31805,99%,Mauritania,20.0,f +45464,,Isle of Man,2.0,f +41299,,Russian Federation,1.0,t +7913,,Sao Tome and Principe,1.0,f +22657,100%,United Kingdom,1.0,f +25396,100%,Montserrat,2.0,f +26618,,Gibraltar,1.0,t +27832,,El Salvador,1.0,f +31983,100%,French Guiana,1.0,f +19747,,Gibraltar,1.0,f +20145,100%,Togo,1.0,t +37658,100%,,1.0,t +18283,,Barbados,2.0,t +46157,100%,,2.0,t +43939,,Vanuatu,1.0,t +14799,100%,,1.0,f +8686,100%,Tanzania,1.0,f +29196,100%,Gambia,1.0,f +33595,,,1.0,t +34155,100%,Tonga,4.0,t +18430,,Lebanon,2.0,t +15866,100%,Papua New Guinea,2.0,f +20424,,Turkmenistan,1.0,t +10753,,Chad,1.0,f +21934,0%,,1.0,t +10949,,Bosnia and Herzegovina,1.0,f +23103,,Micronesia,1.0,f +22778,100%,,1.0,f +3937,100%,Russian Federation,1.0,t +38584,100%,,1.0,t +16677,,Rwanda,3.0,t +20789,98%,Sao Tome and Principe,13.0,f +46724,100%,Netherlands,2.0,t +14335,,Holy See (Vatican City State),2.0,t +29006,,Guernsey,1.0,t +18835,,,1.0,f +34425,100%,Isle of Man,1.0,f +3002,,,1.0,t +9655,100%,,2.0,f +13214,,,1.0,f +23151,100%,Andorra,3.0,f +23813,,Jersey,1.0,t +32710,,Nauru,1.0,t +31490,,Gambia,1.0,f +23684,,,1.0,t +39142,,,1.0,f +43761,100%,,1.0,t +24123,,,1.0,t +15866,100%,Papua New Guinea,2.0,f +28048,100%,,5.0,f +28048,100%,,5.0,f +12531,,Niue,1.0,f +5152,,Venezuela,1.0,f +2921,,Cuba,2.0,t +1068,100%,France,1.0,t +33287,,Russian Federation,1.0,t +37191,100%,Guinea,3.0,t +6298,,Brazil,1.0,f +7201,100%,Denmark,1.0,f +23112,100%,Micronesia,1.0,f +1466,,Chad,1.0,t +47983,100%,,1.0,f +17512,100%,Anguilla,2.0,t +44961,0%,,1.0,f +14065,100%,Guinea,2.0,t +45947,,Isle of Man,1.0,t +49192,100%,Monaco,2.0,f +39784,,,1.0,f +36730,,,2.0,f +9389,100%,,1.0,f +22121,,,2.0,f +43580,100%,,1.0,f +24499,92%,Marshall Islands,1.0,f +35097,,Costa Rica,1.0,t +9459,,,1.0,t +34404,100%,Malta,1.0,f +31719,100%,Pakistan,1.0,t +40050,,Somalia,2.0,f +32736,100%,Maldives,1.0,f +22687,100%,Russian Federation,1.0,f +46072,100%,,1.0,t +43161,,Micronesia,1.0,f +40050,,Somalia,2.0,f +23467,80%,,4.0,t +25533,,Gibraltar,1.0,t +22724,,Venezuela,1.0,t +42820,100%,Gibraltar,6.0,f +35930,,Montserrat,1.0,t +46805,43%,Marshall Islands,1.0,t +33969,,Niue,1.0,f +4557,,,1.0,t +42820,100%,Gibraltar,6.0,f +49770,100%,Zimbabwe,1.0,f +31407,,,1.0,f +40956,,Kenya,1.0,t +4627,50%,Moldova,1.0,f +34823,,Russian Federation,1.0,t +33229,100%,,1.0,f +3284,100%,Kiribati,4.0,f +40158,,Marshall Islands,1.0,t +3874,,,1.0,t +48021,,Chile,1.0,f +41206,,Micronesia,1.0,f +19164,,Isle of Man,1.0,t +8373,,Malta,1.0,t +49590,,Micronesia,1.0,f +6410,100%,,1.0,f +13036,100%,Tonga,2.0,t +16097,100%,,1.0,t +30615,100%,Svalbard & Jan Mayen Islands,1.0,f +45515,,,1.0,f +34358,50%,Marshall Islands,2.0,f +12071,,,1.0,t +34984,,Suriname,1.0,f +22631,,,1.0,f +33824,100%,,1.0,t +25817,,,1.0,t +19173,0%,,1.0,f +28205,,Iraq,22.0,f +38551,,,1.0,f +32692,,Venezuela,1.0,f +48528,,Holy See (Vatican City State),1.0,t +18077,100%,Sao Tome and Principe,139.0,f +25699,,Isle of Man,1.0,t +43342,100%,Finland,2.0,t +19557,100%,Kiribati,1.0,f +26726,,Niue,1.0,f +42236,,Anguilla,2.0,t +18661,83%,Niue,1.0,f +21134,,United Kingdom,1.0,f +12715,100%,Estonia,29.0,f +11290,100%,Reunion,12.0,f +12715,100%,Estonia,29.0,f +48950,100%,,1.0,t +44840,100%,,2.0,t +28828,100%,Isle of Man,198.0,t +21411,100%,Marshall Islands,2.0,f +3038,100%,Niue,1.0,f +37401,60%,Russian Federation,1.0,f +13880,,Korea,1.0,f +23624,,Holy See (Vatican City State),1.0,f +11290,100%,Reunion,12.0,f +6595,100%,Monaco,1.0,t +2464,,Rwanda,1.0,f +20614,,,1.0,t +11731,,,1.0,t +47380,100%,Russian Federation,4.0,f +34317,100%,Turkmenistan,1.0,t +23600,,Nicaragua,1.0,t +35172,100%,Barbados,1.0,t +44276,100%,Togo,13.0,t +15090,,,1.0,t +38292,88%,Tunisia,1.0,t +241,,Korea,1.0,f +31829,,Philippines,1.0,f +45464,,Isle of Man,2.0,f +35573,,Greenland,1.0,t +16026,,,1.0,f +16519,,Cocos (Keeling) Islands,1.0,f +50027,,Maldives,1.0,t +32148,,Nicaragua,1.0,t +19694,100%,,1.0,t +14083,100%,,2.0,t +15371,,,1.0,f +47280,,,1.0,t +17085,,Djibouti,1.0,t +40723,,,1.0,t +2873,,,1.0,f +18806,100%,Vietnam,6.0,t +6107,90%,Kiribati,4.0,f +6107,90%,Kiribati,4.0,f +5771,98%,Vietnam,8.0,f +5771,98%,Vietnam,8.0,f +45494,,French Guiana,1.0,t +28590,,Mauritania,1.0,t +25534,90%,Indonesia,5.0,t +21729,,Micronesia,1.0,f +5075,,,1.0,f +10730,80%,,2.0,t +43555,,Peru,1.0,f +5999,100%,Denmark,2.0,t +3091,,El Salvador,1.0,t +21826,,,1.0,t +17869,100%,Reunion,5.0,t +38065,,,1.0,f +11180,,French Guiana,1.0,f +39068,100%,Djibouti,6.0,t +576,,French Guiana,1.0,t +38651,50%,Slovakia (Slovak Republic),2.0,f +8707,73%,Rwanda,21.0,t +12852,100%,Guinea,1.0,t +25059,100%,Russian Federation,3.0,t +13058,,Mexico,1.0,t +24076,,,1.0,t +36025,100%,Djibouti,6.0,t +43212,67%,,1.0,f +45097,100%,Gambia,1.0,t +48920,100%,,3.0,t +3417,,Fiji,32.0,t +5678,,,1.0,t +3155,,,3.0,t +27007,0%,,1.0,t +33508,100%,,1.0,f +27715,,Kenya,1.0,t +9281,,,2.0,t +18304,,Estonia,1.0,t +21705,14%,,1.0,f +48393,100%,,1.0,t +18587,,,1.0,f +28004,100%,,1.0,t +46854,100%,,1.0,f +44703,86%,,1.0,t +45211,100%,Micronesia,2.0,t +42192,,Nicaragua,1.0,t +42309,,,1.0,f +15747,,Vanuatu,1.0,t +13540,100%,Uganda,2.0,f +14761,80%,Uzbekistan,1.0,t +42931,,,1.0,t +19207,,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +20664,100%,Nauru,4.0,f +42390,100%,Wallis and Futuna,96.0,t +15450,,Niue,1.0,f +5244,100%,,2.0,t +24048,,,1.0,f +808,,Venezuela,1.0,f +9222,100%,Brazil,18.0,t +14511,100%,Uganda,1.0,t +44983,50%,Lebanon,1.0,t +48872,,,3.0,t +33633,100%,China,8.0,f +29984,,Montserrat,1.0,t +36552,,Maldives,4.0,f +47594,100%,Kenya,17.0,t +39839,100%,Cook Islands,3.0,t +49193,100%,Faroe Islands,1.0,f +34847,100%,Niue,1.0,f +41408,,,1.0,t +16704,,,1.0,t +47067,100%,United Kingdom,1.0,f +17356,,,1.0,f +17562,100%,Gambia,1.0,f +19030,,,1.0,f +44178,,,1.0,f +16120,,,1.0,t +49968,,,1.0,f +50059,100%,Barbados,7.0,f +2190,,,1.0,f +10013,,Marshall Islands,2.0,t +47354,100%,Vanuatu,1.0,t +35992,,Uganda,1.0,t +32930,100%,,1.0,f +14094,,,1.0,t +12625,,Indonesia,1.0,t +37276,,Saint Helena,1.0,f +23343,,,1.0,t +42490,,Lebanon,1.0,f +28887,100%,Ghana,8.0,f +23948,100%,,2.0,t +11810,,French Guiana,1.0,t +19530,,,1.0,t +45771,,,1.0,f +45718,100%,,2.0,t +42574,,Jersey,10.0,t +47454,100%,France,1.0,f +28887,100%,Ghana,8.0,f +42574,,Jersey,10.0,t +42574,,Jersey,10.0,t +8250,100%,,2.0,f +21962,,,1.0,t +40929,,Zimbabwe,1.0,t +15193,100%,Tanzania,2.0,t +13790,,Niue,1.0,f +46214,,,1.0,t +25975,,Sao Tome and Principe,1.0,t +42249,,,1.0,f +34694,90%,Malta,2.0,t +27668,46%,Micronesia,3.0,f +20301,,Niue,2.0,t +20185,,Guinea,1.0,f +7702,70%,Russian Federation,3.0,t +1694,,Lebanon,1.0,f +49650,,Isle of Man,1.0,t +41068,,,1.0,t +22750,,Barbados,4.0,t +5251,100%,Brazil,2.0,f +11827,90%,Venezuela,2.0,t +40474,74%,Russian Federation,3.0,f +34949,83%,,4.0,f +42574,,Jersey,10.0,t +42574,,Jersey,10.0,t +42574,,Jersey,10.0,t +42574,,Jersey,10.0,t +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +8531,,,1.0,f +41541,100%,,1.0,t +10878,100%,,1.0,f +26337,,,1.0,t +19763,90%,,1.0,t +2967,100%,,1.0,t +16568,,,1.0,f +43159,100%,,1.0,f +30689,70%,Pitcairn Islands,2.0,t +11646,100%,Gambia,2.0,f +3082,,Chad,1.0,t +3672,,Bouvet Island (Bouvetoya),1.0,t +43130,100%,Puerto Rico,5.0,f +6122,,,1.0,f +18010,,Reunion,1.0,t +42570,,,1.0,f +11530,,Indonesia,2.0,t +7773,,Kenya,7.0,f +29647,100%,Peru,1305.0,f +35491,100%,,2.0,f +6958,,Bosnia and Herzegovina,1.0,f +37170,100%,Turks and Caicos Islands,2.0,f +13929,100%,,1.0,t +46491,,Venezuela,12.0,t +42747,,,2.0,t +19223,100%,Malta,1.0,t +17940,67%,,1.0,f +9655,100%,,2.0,f +27214,,Tonga,1.0,t +37182,,,2.0,f +46491,,Venezuela,12.0,t +3207,,Monaco,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +288,100%,,1.0,f +2178,100%,Jersey,2.0,t +20051,100%,,1.0,t +967,100%,Netherlands,1.0,t +46800,,Uzbekistan,1.0,f +13516,,,1.0,t +50019,100%,,1.0,f +34936,,Maldives,1.0,t +35795,100%,Vanuatu,2.0,t +11765,100%,,2.0,f +19448,100%,French Guiana,1.0,t +15036,100%,Micronesia,1.0,f +11765,100%,,2.0,f +20831,,Gibraltar,3.0,t +15993,50%,,1.0,t +29071,,Micronesia,1.0,f +33183,,,1.0,f +26708,100%,,1.0,t +19788,,Anguilla,1.0,f +19944,100%,Kiribati,12.0,f +23467,80%,,4.0,t +35361,100%,Brazil,1.0,t +35752,100%,Tonga,2.0,t +40041,,Tuvalu,3.0,t +14065,100%,Guinea,2.0,t +22511,,Nicaragua,1.0,f +8033,,,1.0,f +30574,,El Salvador,2.0,t +12020,100%,Congo,4.0,t +17795,100%,Uzbekistan,11.0,t +49111,100%,,2.0,t +35215,,Maldives,1.0,f +36823,100%,Russian Federation,2.0,t +19361,,Bosnia and Herzegovina,1.0,t +25747,,Zimbabwe,4.0,f +19855,100%,Kiribati,37.0,t +42800,100%,Tunisia,5.0,t +2220,,,1.0,t +37278,,,1.0,t +10619,,,1.0,f +29234,100%,Togo,9.0,t +30901,100%,Indonesia,2.0,t +20002,,,1.0,f +42800,100%,Tunisia,5.0,t +18892,100%,Gibraltar,2.0,t +27622,,Niue,1.0,t +18526,100%,,2.0,f +48926,100%,,1.0,t +25077,100%,France,1.0,t +1484,100%,Gibraltar,2.0,f +2727,67%,Jersey,1.0,f +20819,,,2.0,t +19534,50%,Uganda,3.0,t +47253,100%,Indonesia,1.0,t +24535,,,1.0,t +46159,,,1.0,t +47450,100%,,1.0,t +44578,100%,Niue,2.0,t +16364,,,3.0,t +41578,100%,,1.0,t +46551,100%,Russian Federation,1.0,f +27884,50%,Marshall Islands,1.0,f +16017,,Micronesia,1.0,t +20504,100%,Uzbekistan,1.0,t +34090,,,1.0,t +9178,70%,French Guiana,2.0,f +31962,100%,Russian Federation,1.0,f +31393,29%,,1.0,f +28804,100%,,1.0,t +20418,67%,Korea,1.0,t +43890,,,1.0,t +43672,,,1.0,t +48341,70%,,1.0,t +18960,92%,,1.0,f +7169,,,2.0,f +47271,,Russian Federation,2.0,f +10454,0%,,1.0,f +13428,100%,Isle of Man,1.0,f +25059,100%,Russian Federation,3.0,t +25059,100%,Russian Federation,3.0,t +40900,,,3.0,f +40900,,,3.0,f +45072,90%,Isle of Man,1.0,f +28183,,,5.0,f +40226,,,1.0,f +21429,,Tonga,2.0,f +9926,100%,Uganda,19.0,f +10887,67%,Russian Federation,1.0,f +17984,,,1.0,f +6953,,,1.0,f +336,100%,Ecuador,7.0,f +40566,,,1.0,t +32874,,Monaco,1.0,f +17914,,Marshall Islands,3.0,t +11509,100%,Uganda,6.0,f +3798,100%,,2.0,f +29607,,Russian Federation,2.0,t +336,100%,Ecuador,7.0,f +33935,,,1.0,t +20098,,Niue,1.0,t +49411,100%,Canada,4.0,f +36670,,,2.0,f +6838,96%,Spain,59.0,t +49177,,Anguilla,2.0,t +13587,,Niger,2.0,t +16289,,Portugal,3.0,t +4148,,United Kingdom,2.0,t +18666,,Cocos (Keeling) Islands,2.0,t +16802,100%,,1.0,f +4148,,United Kingdom,2.0,t +28205,,Iraq,22.0,f +47255,,Lebanon,1.0,f +594,100%,Cuba,2.0,f +38732,,Chad,2.0,t +38511,100%,Puerto Rico,1.0,t +41192,100%,French Guiana,1.0,f +9926,100%,Uganda,19.0,f +38731,,Sao Tome and Principe,1.0,f +34825,100%,,1.0,t +9926,100%,Uganda,19.0,f +9926,100%,Uganda,19.0,f +1450,,,1.0,t +4216,,Cuba,9.0,t +18999,100%,Chile,2.0,f +16340,90%,,1.0,f +16525,,Lebanon,1.0,t +5196,,Gambia,2.0,t +36234,97%,Fiji,12.0,t +5057,100%,Zimbabwe,23.0,t +2224,,,3.0,t +19070,,Sao Tome and Principe,1.0,t +4216,,Cuba,9.0,t +37433,100%,,1.0,f +18403,,Estonia,2.0,f +23272,,,1.0,f +10411,,Isle of Man,1.0,f +50074,100%,Montserrat,8.0,f +50074,100%,Montserrat,8.0,f +4216,,Cuba,9.0,t +2224,,,3.0,t +7922,100%,Canada,1.0,f +5591,99%,Indonesia,16.0,t +4216,,Cuba,9.0,t +3721,,Turkmenistan,1.0,f +29241,100%,Lebanon,1.0,f +16165,,France,3.0,f +28687,,China,1.0,t +4216,,Cuba,9.0,t +29168,,,1.0,t +8850,,,1.0,t +40421,96%,Jersey,29.0,t +43303,0%,,1.0,f +14449,,,1.0,f +46100,90%,Rwanda,1.0,f +36031,,Uzbekistan,2.0,f +5451,,,1.0,t +49409,,,1.0,t +37752,80%,Uzbekistan,2.0,t +36627,,,2.0,t +42389,,Gambia,1.0,t +33791,100%,Guinea,2.0,t +23344,100%,Grenada,1.0,f +18592,,,1.0,t +22443,80%,Tanzania,1.0,t +4957,100%,Puerto Rico,1.0,f +10289,,Turkmenistan,1.0,f +32895,100%,Sao Tome and Principe,1.0,f +21315,100%,Uzbekistan,2.0,f +3967,100%,Guernsey,1.0,t +9596,,,1.0,f +13367,100%,Marshall Islands,3.0,t +35055,,,1.0,f +47669,100%,Bahrain,1.0,t +16565,,Denmark,1.0,f +38283,,,1.0,t +28196,,Svalbard & Jan Mayen Islands,3.0,t +47867,100%,,1.0,t +9627,,,1.0,t +23056,100%,Denmark,2.0,f +7773,,Kenya,7.0,f +22691,0%,Marshall Islands,2.0,t +26155,,Niue,2.0,f +48098,,,1.0,t +12340,0%,,1.0,t +1487,,Sao Tome and Principe,1.0,t +43286,,Fiji,8.0,t +15433,40%,United Kingdom,1.0,f +41053,,,1.0,t +16526,,Niue,2.0,t +14519,,Indonesia,1.0,f +33814,,Faroe Islands,9.0,f +46815,,Tanzania,1.0,t +42086,,,1.0,f +27005,,,1.0,t +23500,100%,Brazil,1.0,t +30887,,,2.0,f +18549,,Cape Verde,1.0,t +355,80%,China,9.0,t +23056,100%,Denmark,2.0,f +44728,,,3.0,f +43066,100%,,1.0,t +46882,100%,Turkmenistan,3.0,f +45916,,,1.0,f +5373,,Croatia,1.0,t +43428,73%,Faroe Islands,9.0,t +21271,,,1.0,t +46861,100%,Isle of Man,1.0,t +18175,100%,,1.0,f +41878,91%,Maldives,47.0,f +38522,100%,Sao Tome and Principe,9.0,f +41878,91%,Maldives,47.0,f +19721,100%,Tonga,3.0,t +3351,,Russian Federation,1.0,f +31571,100%,,1.0,t +36556,100%,,1.0,f +17709,50%,,3.0,f +49372,100%,Jersey,1.0,t +34310,,,1.0,t +26015,86%,Russian Federation,1.0,t +41164,,Chile,1.0,f +40411,,,1.0,t +17901,,Russian Federation,1.0,t +32475,,French Guiana,1.0,f +13909,0%,,1.0,f +27017,100%,Senegal,2.0,t +33835,,Monaco,1.0,t +36773,95%,Venezuela,4.0,t +34531,,Chad,1.0,f +3602,100%,,1.0,t +27105,50%,Turkmenistan,1.0,f +15870,,,1.0,f +13645,94%,Mauritania,1.0,f +13352,,Tunisia,1.0,t +47869,100%,Gambia,1.0,f +694,,,1.0,t +28311,100%,,1.0,t +16287,100%,,2.0,f +21552,,Nicaragua,6.0,f +2224,,,3.0,t +33791,100%,Guinea,2.0,t +43962,100%,Tonga,2.0,t +23414,100%,,1.0,t +49182,83%,Tunisia,2.0,t +24896,100%,Algeria,50.0,t +31115,100%,Puerto Rico,1.0,f +24305,100%,,1.0,t +47011,,Malawi,4.0,t +39094,,,1.0,t +16407,,Kiribati,1.0,t +24647,,Guinea,2.0,t +4037,100%,Kiribati,11.0,f +49894,100%,,1.0,t +26760,,Chad,1.0,f +17077,,,1.0,f +31805,99%,Mauritania,20.0,f +44981,100%,Micronesia,1.0,f +40118,,,1.0,t +25136,,,1.0,t +37017,100%,,1.0,t +7773,,Kenya,7.0,f +7773,,Kenya,7.0,f +26818,,Chad,1.0,t +16350,,Uzbekistan,2.0,f +1590,0%,,1.0,t +35704,100%,Papua New Guinea,5.0,t +29100,,Uzbekistan,1.0,f +203,,,1.0,f +39638,,Afghanistan,1.0,f +17493,100%,,2.0,t +46901,,,1.0,t +34034,,Svalbard & Jan Mayen Islands,1.0,t +46882,100%,Turkmenistan,3.0,f +19732,100%,Guinea,1.0,f +36410,,Kenya,1.0,t +28737,,,1.0,f +20744,,Niger,2.0,f +18392,100%,,1.0,f +34901,,Kenya,1.0,f +43700,,,1.0,t +4677,100%,Maldives,2.0,f +47380,100%,Russian Federation,4.0,f +54,,Turkmenistan,2.0,t +38108,100%,Lebanon,2.0,t +15736,,Finland,1.0,f +11207,100%,United Kingdom,6.0,f +35286,100%,,1.0,t +42059,80%,Lebanon,1.0,f +4432,100%,Wallis and Futuna,18.0,f +41222,,Congo,3.0,t +4432,100%,Wallis and Futuna,18.0,f +26827,100%,Isle of Man,1.0,t +141,,Bosnia and Herzegovina,1.0,f +27939,100%,Nauru,2.0,f +14782,,France,1.0,t +45787,100%,,1.0,f +36467,100%,Isle of Man,1.0,f +7663,100%,Christmas Island,1.0,t +9762,100%,,1.0,t +29303,,Montserrat,1.0,t +19569,,Russian Federation,1.0,t +262,97%,Maldives,16.0,t +47953,100%,,1.0,f +18608,100%,Jersey,4.0,t +262,97%,Maldives,16.0,t +3366,90%,Zimbabwe,1.0,t +11207,100%,United Kingdom,6.0,f +11207,100%,United Kingdom,6.0,f +5377,,,1.0,f +11207,100%,United Kingdom,6.0,f +11207,100%,United Kingdom,6.0,f +32994,,,1.0,f +262,97%,Maldives,16.0,t +37920,70%,,17.0,t +17851,,,1.0,t +41029,100%,,1.0,t +41159,,Jersey,1.0,f +13550,,Micronesia,1.0,f +23013,90%,Isle of Man,1.0,f +24396,100%,Venezuela,1.0,f +9984,100%,,1.0,t +21519,100%,Jersey,3.0,f +12853,,Rwanda,4.0,t +18411,100%,,2.0,t +43817,,French Guiana,1.0,t +21904,100%,,1.0,t +37170,100%,Turks and Caicos Islands,2.0,f +22754,100%,Isle of Man,3.0,t +39942,100%,Niue,1.0,f +18776,,Marshall Islands,1.0,f +6718,100%,Estonia,2.0,f +22251,100%,Gambia,11.0,f +46820,100%,,1.0,f +46043,,Chad,3.0,t +31269,,,1.0,f +4438,100%,Denmark,1.0,f +25130,100%,Russian Federation,1.0,t +30980,100%,Palestinian Territory,1.0,t +20854,,Gambia,3.0,f +28038,,Zimbabwe,1.0,t +25872,100%,,1.0,t +30939,,,1.0,f +43962,100%,Tonga,2.0,t +17369,,,1.0,t +28205,,Iraq,22.0,f +7407,,,7.0,t +42679,,Cocos (Keeling) Islands,2.0,t +6506,,,1.0,t +15821,100%,,1.0,f +37156,,Zimbabwe,1.0,t +30889,,,1.0,t +19789,,,1.0,f +37345,,Venezuela,1.0,t +40219,,,1.0,t +24450,100%,Russian Federation,1.0,t +5800,,Niue,1.0,f +673,,,1.0,t +28462,,,1.0,f +40421,96%,Jersey,29.0,t +26640,,,1.0,t +6923,100%,Anguilla,1.0,t +18666,,Cocos (Keeling) Islands,2.0,t +18230,,El Salvador,1.0,f +6105,,,1.0,f +31845,,,1.0,t +25916,100%,,1.0,t +17816,100%,Brazil,1.0,f +15954,,Uzbekistan,1.0,f +8755,,Malawi,1.0,f +40986,,,1.0,t +42400,100%,France,1.0,t +34616,,,1.0,t +49075,,Uzbekistan,1.0,t +29727,100%,Senegal,2.0,f +5268,100%,,1.0,f +38738,75%,,1.0,t +44428,71%,Malta,1.0,f +49711,100%,Senegal,1.0,f +13615,0%,,1.0,t +8140,,,1.0,f +19376,100%,Malawi,2.0,t +48577,,,1.0,t +6211,,,1.0,t +3252,,Rwanda,1.0,t +35860,98%,Vietnam,4.0,t +1359,,,1.0,f +2613,,,2.0,t +30148,,Uzbekistan,1.0,f +4267,100%,Senegal,22.0,t +2605,,El Salvador,1.0,t +7773,,Kenya,7.0,f +4935,0%,,1.0,t +41513,,Vietnam,1.0,t +7773,,Kenya,7.0,f +9669,,,1.0,t +17840,100%,Uganda,3.0,t +34389,,,1.0,f +27422,,,1.0,t +25479,,,2.0,t +44308,97%,Niue,5.0,f +405,,United Kingdom,2.0,t +5985,,,1.0,t +22338,100%,Turks and Caicos Islands,2.0,t +25278,100%,Gibraltar,2.0,t +31319,,Bosnia and Herzegovina,1.0,f +41982,60%,Nicaragua,2.0,f +30535,96%,,2.0,t +29793,,,1.0,t +17031,80%,Reunion,7.0,t +26954,,,1.0,f +30535,96%,,2.0,t +14844,50%,,1.0,f +28826,100%,Switzerland,2.0,f +37411,100%,Guernsey,3.0,f +35040,,Chad,1.0,t +565,0%,Faroe Islands,1.0,f +2707,,Montserrat,1.0,f +32166,100%,Bosnia and Herzegovina,4.0,t +33790,100%,,1.0,f +22713,100%,Uganda,1.0,f +36016,,,1.0,f +488,100%,Maldives,18.0,f +28,100%,,1.0,f +27668,46%,Micronesia,3.0,f +36154,100%,,2.0,t +14333,,Tonga,3.0,f +3512,,,1.0,t +25374,100%,Tonga,8.0,f +45234,100%,,1.0,f +28406,100%,Isle of Man,1.0,f +6351,,,2.0,f +47340,,Maldives,1.0,t +1696,,Togo,2.0,f +36234,97%,Fiji,12.0,t +6537,,France,4.0,t +44098,93%,,3.0,t +34227,,Lebanon,1.0,t +37842,100%,Nicaragua,1.0,t +12037,,Chile,2.0,t +17512,100%,Anguilla,2.0,t +30471,100%,Russian Federation,1.0,t +24041,,,1.0,f +46426,,Guinea,2.0,f +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +12809,100%,,1.0,t +21615,100%,Montserrat,4.0,f +45646,,Tonga,1.0,t +49111,100%,,2.0,t +17031,80%,Reunion,7.0,t +8439,97%,Rwanda,17.0,t +28807,,Isle of Man,7.0,t +16472,67%,Sao Tome and Principe,1.0,t +42209,,Tonga,1.0,t +24128,54%,Suriname,9.0,t +31107,100%,Isle of Man,3.0,t +28807,,Isle of Man,7.0,t +28807,,Isle of Man,7.0,t +11714,80%,,1.0,t +28807,,Isle of Man,7.0,t +29647,100%,Peru,1305.0,f +43152,100%,Nicaragua,82.0,t +29647,100%,Peru,1305.0,f +23034,99%,Monaco,54.0,f +43152,100%,Nicaragua,82.0,t +23467,80%,,4.0,t +27702,,Chad,1.0,f +45489,,,1.0,f +10944,40%,Tonga,2.0,t +14680,100%,Bouvet Island (Bouvetoya),1.0,t +1765,,Rwanda,1.0,t +23692,,,1.0,t +8873,100%,,1.0,t +8225,95%,Barbados,31.0,f +8633,100%,,1.0,t +37006,100%,,1.0,t +13471,,,1.0,t +29647,100%,Peru,1305.0,f +43594,100%,,1.0,t +48756,100%,Maldives,59.0,f +26725,,,12.0,t +49688,,,1.0,t +43937,,Zimbabwe,1.0,f +42196,100%,Turkmenistan,1.0,t +22152,100%,Micronesia,2.0,t +10258,100%,Cape Verde,1.0,f +27381,100%,,1.0,f +25969,100%,Gibraltar,1.0,f +413,100%,,1.0,f +8270,,,1.0,t +3603,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +45553,90%,Brazil,16.0,t +21184,100%,Chad,2.0,t +46923,100%,Tonga,1.0,t +4674,100%,Zimbabwe,1.0,f +33406,100%,Reunion,4.0,f +2207,,Kiribati,4.0,f +49883,100%,,1.0,f +19404,100%,Kenya,1.0,t +29647,100%,Peru,1305.0,f +12691,100%,,1.0,t +29647,100%,Peru,1305.0,f +16948,100%,Suriname,1.0,f +37920,70%,,17.0,t +383,,Andorra,6.0,f +29647,100%,Peru,1305.0,f +39109,77%,Ukraine,24.0,t +1725,90%,France,3.0,f +42725,100%,Spain,3.0,t +2970,,Holy See (Vatican City State),1.0,f +10837,,,1.0,f +16669,,Mexico,1.0,f +25112,,Togo,4.0,f +43186,100%,Vietnam,3.0,t +18045,,,1.0,t +23421,,,1.0,t +42800,100%,Tunisia,5.0,t +49952,,,1.0,t +48118,100%,Guinea,1.0,t +42412,100%,Isle of Man,1.0,t +22095,,,1.0,t +34792,100%,,1.0,t +17484,,,1.0,f +34151,100%,Guinea,3.0,f +18083,,Guinea,1.0,t +22067,,,1.0,t +2644,100%,Zimbabwe,11.0,t +49955,100%,Togo,1.0,t +2644,100%,Zimbabwe,11.0,t +20872,100%,,2.0,t +49234,100%,Denmark,2.0,f +21761,100%,Montserrat,1.0,t +48642,,Malawi,1.0,t +40916,,Tonga,1.0,f +19958,100%,Congo,40.0,t +44238,100%,,1.0,f +22519,,Indonesia,3.0,f +22519,,Indonesia,3.0,f +24166,100%,Andorra,1.0,t +22519,,Indonesia,3.0,f +28898,85%,Maldives,5.0,t +25076,,Russian Federation,1.0,t +46882,100%,Turkmenistan,3.0,f +36337,,,1.0,t +45701,100%,Nauru,2.0,f +11348,,China,2.0,f +17284,,,1.0,t +36729,,Mauritania,1.0,f +20831,,Gibraltar,3.0,t +34132,90%,Niue,1.0,t +30247,100%,,2.0,f +34514,,Lebanon,1.0,t +17598,,Uzbekistan,1.0,t +13037,,Bosnia and Herzegovina,1.0,t +2277,,Nicaragua,1.0,f +39589,,Maldives,1.0,f +6537,,France,4.0,t +27776,,,1.0,t +20193,0%,Nicaragua,1.0,f +20256,100%,,3.0,t +3473,0%,Mexico,2.0,t +46888,100%,Mauritania,3.0,f +29800,,,1.0,t +10635,100%,Peru,1.0,t +16337,,Russian Federation,2.0,t +35437,81%,Slovakia (Slovak Republic),2.0,t +14067,80%,Chad,2.0,f +16258,100%,,1.0,t +4215,100%,,1.0,f +40759,,Venezuela,1.0,f +3256,100%,Estonia,2.0,f +38583,,,1.0,t +32941,100%,,1.0,t +48694,100%,,1.0,f +38542,,Croatia,1.0,t +22838,100%,,5.0,t +46585,,Russian Federation,2.0,t +28807,,Isle of Man,7.0,t +4455,100%,Uzbekistan,1.0,f +16784,100%,Turkmenistan,3.0,t +42719,,Uruguay,1.0,t +19511,100%,Turkmenistan,1.0,f +5123,,Guinea,1.0,t +31805,99%,Mauritania,20.0,f +44896,100%,Djibouti,1.0,f +2407,100%,Niue,2.0,t +7452,78%,,1.0,f +10175,,,1.0,f +16421,100%,Turkmenistan,1.0,t +15489,100%,Nicaragua,2.0,t +39369,,Brazil,1.0,f +10196,0%,,1.0,t +44184,100%,,1.0,f +42424,100%,Congo,3.0,t +2647,,Zimbabwe,1.0,f +13933,100%,,2.0,f +30869,100%,,2.0,t +42917,100%,,1.0,f +24866,,,2.0,t +29074,,Isle of Man,1.0,f +31834,,,1.0,f +28125,,Reunion,2.0,t +47578,,Sao Tome and Principe,2.0,t +33945,100%,,2.0,t +33097,100%,Uzbekistan,1.0,t +23615,100%,Marshall Islands,1.0,t +40846,,Sao Tome and Principe,3.0,t +7338,,,2.0,t +21691,100%,Kenya,2.0,t +20029,,,1.0,t +39991,,,1.0,f +34151,100%,Guinea,3.0,f +15822,80%,Sao Tome and Principe,1.0,f +4283,,Nicaragua,1.0,t +17572,100%,,1.0,f +42800,100%,Tunisia,5.0,t +1995,,,1.0,f +20256,100%,,3.0,t +12506,,Ghana,3.0,t +31349,100%,,1.0,t +20256,100%,,3.0,t +36306,,Brazil,1.0,t +19480,,Montserrat,1.0,t +29647,100%,Peru,1305.0,f +45275,,Russian Federation,1.0,f +18574,,,1.0,f +5372,,,1.0,f +11174,,,1.0,f +49555,100%,Saint Pierre and Miquelon,4.0,t +15093,,Guinea,1.0,t +8707,73%,Rwanda,21.0,t +11046,100%,Libyan Arab Jamahiriya,1.0,t +12719,100%,,2.0,t +21658,,French Guiana,1.0,f +7160,,Uzbekistan,1.0,f +44704,100%,,1.0,t +42482,0%,Russian Federation,3.0,f +47882,,,1.0,f +34276,,,1.0,t +15243,100%,Ecuador,1.0,t +26124,,,1.0,f +46870,100%,Uzbekistan,1.0,t +10479,100%,Palestinian Territory,3.0,t +2003,,Brazil,1.0,f +4039,100%,,1.0,t +26068,,,1.0,t +16165,,France,3.0,f +42380,80%,Denmark,1.0,f +5311,100%,Togo,1.0,f +34835,86%,Turkmenistan,2.0,t +19843,100%,Turkmenistan,3.0,t +24656,100%,Finland,4.0,t +21430,,,1.0,t +8707,73%,Rwanda,21.0,t +28807,,Isle of Man,7.0,t +26742,,,1.0,t +33419,,Kenya,1.0,f +42112,,Guinea,2.0,t +1303,100%,,1.0,t +39244,100%,Netherlands,3.0,f +8826,100%,Rwanda,1.0,f +33279,100%,,1.0,f +38141,,,1.0,f +23237,,Chad,1.0,f +13186,,Guinea,1.0,t +30568,,,2.0,f +31275,,Libyan Arab Jamahiriya,1.0,f +33353,,Denmark,1.0,t +30568,,,2.0,f +34050,,Togo,1.0,f +41683,100%,Andorra,2.0,t +11337,,,1.0,f +7674,,,1.0,f +18050,,Ghana,6.0,f +46106,100%,,4.0,t +35237,100%,Denmark,2.0,f +12506,,Ghana,3.0,t +2627,,Afghanistan,1.0,f +33695,100%,,1.0,t +15930,50%,Niue,1.0,f +488,100%,Maldives,18.0,f +6533,,Gibraltar,4.0,f +488,100%,Maldives,18.0,f +1134,,Nauru,7.0,t +488,100%,Maldives,18.0,f +42737,100%,,1.0,t +25436,90%,Isle of Man,1.0,t +488,100%,Maldives,18.0,f +34228,,Maldives,1.0,f +10626,,,1.0,t +488,100%,Maldives,18.0,f +24607,,,1.0,t +488,100%,Maldives,18.0,f +6959,95%,Slovakia (Slovak Republic),20.0,t +44188,,Russian Federation,1.0,t +45634,100%,Zimbabwe,1.0,t +8424,,Bosnia and Herzegovina,1.0,f +488,100%,Maldives,18.0,f +37095,50%,,1.0,t +488,100%,Maldives,18.0,f +383,,Andorra,6.0,f +383,,Andorra,6.0,f +383,,Andorra,6.0,f +37839,100%,,2.0,t +38766,100%,Montserrat,1.0,t +40731,,,1.0,t +44119,,Niue,1.0,t +8138,,Lebanon,8.0,f +25362,,Holy See (Vatican City State),1.0,t +39060,100%,Kiribati,3.0,f +10184,,,1.0,t +17202,,,1.0,t +43560,,Turks and Caicos Islands,1.0,f +24637,,Senegal,1.0,f +40213,,Montserrat,1.0,t +5712,100%,Vanuatu,1.0,f +46888,100%,Mauritania,3.0,f +23656,,Turks and Caicos Islands,2.0,f +44308,97%,Niue,5.0,f +29873,,French Guiana,1.0,f +44308,97%,Niue,5.0,f +28043,,,1.0,t +5424,,,2.0,t +14830,,Sao Tome and Principe,1.0,f +31251,,,1.0,t +6893,,Uganda,2.0,f +45154,100%,Lebanon,2.0,t +43991,,,1.0,t +11383,,Zimbabwe,1.0,f +24380,,Zimbabwe,2.0,f +34895,100%,Estonia,16.0,t +23567,100%,Guinea,2.0,t +8506,,,1.0,f +46295,100%,United Kingdom,1.0,f +9940,0%,,2.0,f +15932,100%,Isle of Man,3.0,t +41483,,Guinea,1.0,f +47744,100%,,3.0,t +20872,100%,,2.0,t +488,100%,Maldives,18.0,f +488,100%,Maldives,18.0,f +1831,100%,Niue,1.0,t +7293,,Barbados,3.0,f +84,,Gambia,2.0,f +4105,100%,Malawi,3.0,f +47498,,Mauritania,2.0,t +9434,,Gibraltar,1.0,f +4198,100%,,1.0,f +24240,100%,Isle of Man,4.0,t +47629,100%,Zimbabwe,1.0,f +23099,,Chad,1.0,t +15081,,Russian Federation,1.0,f +7957,,,1.0,f +35699,,Libyan Arab Jamahiriya,1.0,t +4274,100%,Guernsey,2.0,t +9926,100%,Uganda,19.0,f +9926,100%,Uganda,19.0,f +9926,100%,Uganda,19.0,f +941,100%,Bouvet Island (Bouvetoya),1.0,f +14891,,,1.0,f +12275,100%,Denmark,1.0,f +25270,,,1.0,f +7740,,Malawi,1.0,f +1218,,,1.0,f +32136,,Denmark,1.0,f +34047,,,1.0,t +21915,,,1.0,t +4060,100%,Russian Federation,1.0,f +2221,100%,,1.0,t +47525,100%,,2.0,t +29467,,,1.0,f +8027,100%,,1.0,t +43200,,,1.0,t +17124,88%,Turks and Caicos Islands,4.0,t +41387,,French Guiana,1.0,f +21845,,Marshall Islands,2.0,t +21845,,Marshall Islands,2.0,t +28912,100%,Papua New Guinea,2.0,t +47031,100%,,4.0,f +19944,100%,Kiribati,12.0,f +47523,100%,Bosnia and Herzegovina,1.0,f +32725,33%,,2.0,f +16852,,Costa Rica,1.0,t +2698,100%,Tanzania,1.0,f +47543,,Maldives,1.0,f +20390,,Niue,1.0,t +20879,,,, +20464,100%,,1.0,t +28155,,Costa Rica,1.0,f +19201,,Guinea,3.0,t +19201,,Guinea,3.0,t +35423,,Finland,2.0,t +13433,,,1.0,f +31630,100%,,1.0,t +13036,100%,Tonga,2.0,t +356,99%,Wallis and Futuna,32.0,t +40359,,Chile,2.0,t +13666,,Russian Federation,1.0,f +19621,70%,Ecuador,2.0,f +5057,100%,Zimbabwe,23.0,t +23063,,Zimbabwe,1.0,t +45918,100%,,1.0,t +42013,,Guinea,16.0,t +25847,,Faroe Islands,1.0,t +28828,100%,Isle of Man,198.0,t +48397,100%,,1.0,f +42013,,Guinea,16.0,t +47003,100%,France,1.0,f +36881,,Tonga,3.0,f +42013,,Guinea,16.0,t +4722,96%,Guinea,13.0,t +19375,,China,2.0,t +42013,,Guinea,16.0,t +42013,,Guinea,16.0,t +24421,100%,El Salvador,1.0,t +19375,,China,2.0,t +1603,100%,Vanuatu,2.0,f +12812,99%,Croatia,32.0,f +42013,,Guinea,16.0,t +24799,0%,Guinea,1.0,t +12812,99%,Croatia,32.0,f +37205,100%,Kiribati,3.0,t +5771,98%,Vietnam,8.0,f +48039,,,1.0,t +39907,100%,Turkmenistan,1.0,f +46141,100%,,3.0,f +29415,,Maldives,1.0,t +29510,,Guinea,1.0,t +23034,99%,Monaco,54.0,f +40449,100%,Sao Tome and Principe,1.0,f +45512,100%,Barbados,2.0,t +38441,,Maldives,1.0,t +26157,100%,Philippines,1.0,t +16612,,Jersey,1.0,t +4267,100%,Senegal,22.0,t +46382,,,1.0,t +1208,100%,Brunei Darussalam,4.0,t +39447,,Montserrat,3.0,f +1208,100%,Brunei Darussalam,4.0,t +1208,100%,Brunei Darussalam,4.0,t +17048,50%,Monaco,1.0,f +39918,,Russian Federation,1.0,t +35155,90%,Svalbard & Jan Mayen Islands,2.0,t +714,100%,Zimbabwe,1.0,f +23517,100%,,1.0,f +18050,,Ghana,6.0,f +9926,100%,Uganda,19.0,f +15949,100%,Svalbard & Jan Mayen Islands,3.0,t +34216,,Malawi,1.0,f +383,,Andorra,6.0,f +9926,100%,Uganda,19.0,f +9926,100%,Uganda,19.0,f +9926,100%,Uganda,19.0,f +18768,100%,Libyan Arab Jamahiriya,2.0,f +28575,100%,Andorra,1.0,f +3905,,Vanuatu,1.0,f +42126,,,1.0,t +9559,100%,Tonga,1.0,t +4618,,Tonga,3.0,f +4618,,Tonga,3.0,f +4560,,Bouvet Island (Bouvetoya),2.0,f +26099,99%,Reunion,15.0,f +33343,100%,Vanuatu,1.0,t +6807,100%,Mexico,9.0,f +32109,,Uzbekistan,1.0,t +15180,,Djibouti,1.0,t +26531,100%,Nicaragua,2.0,t +43587,100%,,1.0,t +4006,,,1.0,t +2438,100%,,1.0,f +11509,100%,Uganda,6.0,f +383,,Andorra,6.0,f +17039,,Vietnam,1.0,f +47774,,Bosnia and Herzegovina,2.0,t +12524,,Uzbekistan,1.0,t +14067,80%,Chad,2.0,f +35355,100%,Gambia,3.0,f +19113,67%,United Kingdom,1.0,f +9926,100%,Uganda,19.0,f +44534,,Venezuela,1.0,t +1484,100%,Gibraltar,2.0,f +22331,99%,Rwanda,50.0,t +46468,100%,Denmark,1.0,f +26236,,,1.0,f +48304,,,1.0,t +788,100%,Peru,2.0,t +27878,50%,Niue,1.0,t +42314,100%,,1.0,f +18050,,Ghana,6.0,f +18050,,Ghana,6.0,f +17660,,French Guiana,1.0,f +44308,97%,Niue,5.0,f +39340,100%,France,1.0,f +550,100%,Vietnam,2.0,f +29245,,Gibraltar,1.0,f +34530,,Afghanistan,1.0,t +23868,67%,,15.0,t +46405,100%,Vietnam,8.0,t +33363,,,1.0,f +34155,100%,Tonga,4.0,t +42572,,Sao Tome and Principe,1.0,f +2429,100%,Tonga,6.0,f +21102,,China,1.0,f +43798,100%,El Salvador,4.0,t +42639,,,1.0,f +29188,100%,French Guiana,3.0,t +23868,67%,,15.0,t +18075,,Tonga,2.0,f +39068,100%,Djibouti,6.0,t +45114,,Togo,1.0,f +42559,,Gibraltar,2.0,t +5562,,,1.0,f +2202,100%,Venezuela,2.0,t +43421,,Kiribati,2.0,t +47984,,,1.0,t +14549,100%,Anguilla,1.0,t +13764,,,1.0,f +36406,100%,,1.0,t +40768,100%,Anguilla,1.0,t +21638,90%,,3.0,t +23682,57%,Uganda,4.0,f +29647,100%,Peru,1305.0,f +17124,88%,Turks and Caicos Islands,4.0,t +47920,,American Samoa,3.0,t +1133,,,1.0,t +31996,,Niue,1.0,f +30383,90%,Mauritania,6.0,t +30757,90%,Croatia,2.0,f +45168,100%,Brunei Darussalam,1.0,t +9114,94%,Sao Tome and Principe,4.0,t +37481,100%,,1.0,t +29647,100%,Peru,1305.0,f +32847,,Malawi,1.0,t +11525,90%,Australia,1.0,t +16526,,Niue,2.0,t +10169,100%,,1.0,f +35695,100%,,1.0,f +29647,100%,Peru,1305.0,f +24013,,Turkmenistan,1.0,t +36565,100%,Micronesia,2.0,f +1531,100%,,1.0,f +1445,,Somalia,1.0,t +13682,100%,,2.0,f +13682,100%,,2.0,f +36552,,Maldives,4.0,f +44556,,Mauritania,1.0,f +19179,,,1.0,f +12222,,Russian Federation,1.0,t +9145,,Niue,2.0,f +27076,100%,Marshall Islands,1.0,t +17861,83%,Russian Federation,1.0,f +45593,100%,Micronesia,3.0,t +38885,100%,,1.0,f +22887,100%,,2.0,f +38965,,Chile,1.0,t +43206,100%,Zimbabwe,1.0,t +14933,100%,Marshall Islands,1.0,f +15468,,,1.0,f +48756,100%,Maldives,59.0,f +22066,,Bouvet Island (Bouvetoya),1.0,f +48756,100%,Maldives,59.0,f +31805,99%,Mauritania,20.0,f +31805,99%,Mauritania,20.0,f +31805,99%,Mauritania,20.0,f +28555,100%,Russian Federation,3.0,f +31805,99%,Mauritania,20.0,f +31805,99%,Mauritania,20.0,f +18077,100%,Sao Tome and Principe,139.0,f +9926,100%,Uganda,19.0,f +6910,,Maldives,4.0,f +23682,57%,Uganda,4.0,f +32852,,Isle of Man,1.0,f +6910,,Maldives,4.0,f +6910,,Maldives,4.0,f +6910,,Maldives,4.0,f +20387,100%,Malta,12.0,t +18662,70%,Uruguay,4.0,t +2183,100%,Isle of Man,3.0,f +38658,100%,Vanuatu,1.0,f +37397,100%,El Salvador,1.0,f +33407,50%,,2.0,t +41980,100%,Gibraltar,2.0,f +47677,100%,,1.0,t +31132,100%,,1.0,t +16477,100%,Guernsey,1.0,t +35221,100%,Turks and Caicos Islands,30.0,t +49168,,Kenya,2.0,t +9457,71%,Turks and Caicos Islands,1.0,f +25863,,,1.0,t +49555,100%,Saint Pierre and Miquelon,4.0,t +16489,100%,Russian Federation,42.0,t +11848,100%,,1.0,f +11849,,San Marino,1.0,t +11064,100%,,2.0,t +11064,100%,,2.0,t +1692,100%,Jersey,15.0,t +48949,100%,Anguilla,1.0,t +21768,,,1.0,f +3875,100%,Isle of Man,2.0,f +23868,67%,,15.0,t +23868,67%,,15.0,t +43029,,,1.0,f +19842,85%,Turkmenistan,53.0,f +23868,67%,,15.0,t +43146,100%,,1.0,f +23868,67%,,15.0,t +23868,67%,,15.0,t +23868,67%,,15.0,t +23868,67%,,15.0,t +23665,100%,,1.0,t +28395,,Russian Federation,1.0,t +23034,99%,Monaco,54.0,f +48603,100%,Guinea,40.0,f +19616,,Australia,1.0,t +658,100%,Sao Tome and Principe,5.0,f +48882,,Gibraltar,1.0,f +5514,100%,Ecuador,3.0,f +38120,100%,Russian Federation,4.0,t +30246,100%,Denmark,1.0,f +39800,,Chile,1.0,t +35569,,Marshall Islands,1.0,f +48603,100%,Guinea,40.0,f +48603,100%,Guinea,40.0,f +3282,100%,,1.0,t +48603,100%,Guinea,40.0,f +48679,100%,Reunion,3.0,t +10982,100%,,1.0,f +42748,,Papua New Guinea,2.0,t +44447,,Guinea,1.0,f +48603,100%,Guinea,40.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +5165,,Uzbekistan,1.0,f +12708,100%,Chad,1.0,t +26099,99%,Reunion,15.0,f +47717,,Turkmenistan,1.0,f +16234,67%,Afghanistan,1.0,t +27178,,,1.0,f +17054,100%,Nicaragua,1.0,f +28326,,France,1.0,f +32259,,Sao Tome and Principe,1.0,t +47613,100%,Denmark,2.0,t +25515,,,1.0,t +12086,,Chad,1.0,t +22063,100%,Nicaragua,2.0,f +41581,100%,,1.0,f +31015,100%,Sao Tome and Principe,1.0,t +11950,,Gambia,1.0,t +38198,,Bouvet Island (Bouvetoya),2.0,f +17160,100%,Isle of Man,1.0,t +47019,100%,Isle of Man,1.0,t +18088,100%,Marshall Islands,3.0,t +26012,,Cook Islands,1.0,f +7919,,Mauritania,1.0,t +11587,100%,Micronesia,2.0,t +22678,100%,Portugal,1.0,t +869,100%,,1.0,f +16655,80%,,1.0,f +23357,100%,Monaco,1.0,f +2093,100%,Kiribati,1.0,f +23270,100%,Indonesia,4.0,f +20744,,Niger,2.0,f +40013,100%,El Salvador,3.0,t +21844,,,1.0,t +43088,,,1.0,f +5424,,,2.0,t +16520,100%,Marshall Islands,22.0,f +1477,,,1.0,f +22739,100%,Gambia,3.0,t +35919,90%,Peru,1.0,t +26084,,Vietnam,4.0,t +28216,,,4.0,t +14566,100%,Korea,4.0,t +10978,,Maldives,2.0,t +37482,100%,Niue,1.0,f +13747,100%,Niue,1.0,t +48581,,Montserrat,8.0,t +12337,,,1.0,t +20920,70%,Gambia,2.0,t +47422,99%,Uzbekistan,30.0,f +14566,100%,Korea,4.0,t +28948,100%,,1.0,t +699,100%,Uzbekistan,3.0,f +38068,,,1.0,f +35997,,Monaco,2.0,f +38708,,Peru,1.0,t +24363,,Lebanon,1.0,t +27075,100%,El Salvador,2.0,f +31428,,Micronesia,3.0,f +30367,,Faroe Islands,1.0,f +44379,80%,El Salvador,8.0,t +38712,100%,Monaco,1.0,t +21889,,Vietnam,1.0,t +22331,99%,Rwanda,50.0,t +35997,,Monaco,2.0,f +37293,92%,Russian Federation,15.0,f +31805,99%,Mauritania,20.0,f +20483,,,1.0,t +30927,100%,Indonesia,1.0,f +49764,,Micronesia,1.0,f +24813,,,1.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +37773,0%,,2.0,f +24071,100%,Indonesia,22.0,f +3330,,Niger,2.0,f +9105,,Tonga,1.0,t +10131,,Chad,1.0,f +7260,100%,Sao Tome and Principe,1.0,t +21699,100%,Brazil,4.0,t +27540,,,1.0,t +41878,91%,Maldives,47.0,f +43309,,Niue,1.0,t +29300,,Bouvet Island (Bouvetoya),1.0,f +7338,,,2.0,t +21316,,,1.0,t +22063,100%,Nicaragua,2.0,f +24828,100%,,1.0,t +49872,,Lebanon,1.0,f +49113,83%,Barbados,1.0,t +13270,100%,Anguilla,3.0,t +18448,,,1.0,t +46043,,Chad,3.0,t +19936,100%,Slovakia (Slovak Republic),1.0,t +38049,100%,Cape Verde,1.0,t +6990,100%,Guinea,1.0,f +29490,91%,Tanzania,2.0,t +25233,,Togo,1.0,f +31916,,Malta,2.0,t +13372,,Niue,1.0,f +22331,99%,Rwanda,50.0,t +29647,100%,Peru,1305.0,f +45774,,,1.0,f +33542,,Guinea,1.0,f +21968,,,1.0,f +16920,100%,,1.0,f +22772,,Anguilla,1.0,f +9072,100%,Niue,1.0,t +3376,,Nicaragua,8.0,t +45000,100%,Montserrat,10.0,t +47369,100%,Marshall Islands,4.0,t +38044,,,1.0,t +2421,100%,,2.0,t +32321,80%,Anguilla,1.0,f +27610,,Turkmenistan,1.0,t +44688,,Isle of Man,1.0,f +13446,33%,,2.0,f +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +13446,33%,,2.0,f +37504,100%,Micronesia,3.0,t +33814,,Faroe Islands,9.0,f +43361,100%,Maldives,1.0,f +1816,,Lithuania,1.0,t +42303,,,1.0,t +11972,,,1.0,t +47058,,,4.0,f +18122,,Christmas Island,1.0,f +13148,33%,,1.0,t +34505,,Uzbekistan,4.0,f +31902,98%,Kiribati,5.0,t +38837,,Denmark,1.0,f +47221,100%,,1.0,f +29560,,Croatia,4.0,t +40614,100%,Faroe Islands,1.0,f +12045,100%,,2.0,t +21758,100%,Guinea,1.0,f +39978,100%,Niue,1.0,t +15281,,Bosnia and Herzegovina,1.0,f +35628,,,1.0,t +16873,,Afghanistan,1.0,t +10707,100%,Somalia,3.0,t +34850,,United Kingdom,1.0,f +44218,100%,Kiribati,3.0,f +24621,100%,Tonga,2.0,f +3442,100%,Tonga,2.0,t +321,,Zimbabwe,1.0,f +49934,100%,Liberia,9.0,t +16162,100%,Svalbard & Jan Mayen Islands,2.0,t +14495,100%,United Kingdom,1.0,t +39826,,,1.0,t +22587,70%,,1.0,t +7308,,Ghana,1.0,f +33985,100%,,1.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +46940,,Rwanda,1.0,t +45921,100%,France,1.0,f +34196,,,1.0,t +23649,100%,Malawi,1.0,f +46846,,Rwanda,1.0,t +8543,80%,Kenya,1.0,f +28938,,,1.0,t +29530,100%,Guinea,1.0,t +34163,,,1.0,f +26082,100%,,1.0,f +6674,,Tonga,2.0,t +3376,,Nicaragua,8.0,t +47341,100%,Lithuania,2.0,t +13943,100%,Cape Verde,1.0,f +21616,,China,14.0,t +21155,100%,Libyan Arab Jamahiriya,1.0,f +11464,100%,Papua New Guinea,11.0,f +18645,100%,United Kingdom,1.0,t +11715,,Costa Rica,5.0,f +22041,100%,Guinea,1.0,f +21717,57%,,1.0,t +13450,,Kiribati,1.0,t +21073,100%,,1.0,t +7413,100%,Cape Verde,1.0,t +14514,,China,80.0,t +5915,,Russian Federation,4.0,f +32648,100%,Micronesia,2.0,f +22895,,Gambia,1.0,t +11464,100%,Papua New Guinea,11.0,f +1407,,,1.0,t +33338,,Gibraltar,1.0,t +48679,100%,Reunion,3.0,t +20219,,,1.0,f +21470,100%,Monaco,1.0,f +40937,100%,Nauru,1.0,f +1239,100%,Gambia,1.0,t +9539,,,1.0,t +29386,100%,,1.0,t +16689,,Monaco,2.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +18750,80%,,1.0,f +20249,,Papua New Guinea,2.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +16290,60%,United Kingdom,3.0,f +8116,100%,Estonia,1.0,t +28828,100%,Isle of Man,198.0,t +34505,,Uzbekistan,4.0,f +31510,75%,Kenya,2.0,t +905,,Somalia,1.0,t +27907,100%,Puerto Rico,21.0,f +9926,100%,Uganda,19.0,f +9926,100%,Uganda,19.0,f +43027,,Guinea,1.0,t +23764,,El Salvador,1.0,t +30240,100%,Sao Tome and Principe,1.0,t +31923,100%,France,1.0,f +33218,,Peru,1.0,f +6838,96%,Spain,59.0,t +34155,100%,Tonga,4.0,t +42608,,,1.0,t +27248,,Guernsey,1.0,f +9926,100%,Uganda,19.0,f +20189,100%,Niger,4.0,f +3529,,Croatia,1.0,f +15291,100%,,3.0,f +18791,100%,Zimbabwe,8.0,t +32961,,United Kingdom,6.0,t +12236,,,1.0,f +46772,,,1.0,t +40701,100%,Guinea,1.0,t +19201,,Guinea,3.0,t +3149,100%,Chile,1.0,t +45000,100%,Montserrat,10.0,t +11290,100%,Reunion,12.0,f +48603,100%,Guinea,40.0,f +49430,,,1.0,f +18214,,,1.0,t +17555,100%,United Kingdom,1.0,f +7764,100%,Tonga,1.0,t +1860,,Portugal,1.0,t +9926,100%,Uganda,19.0,f +45381,,Venezuela,1.0,t +27044,,Sao Tome and Principe,1.0,t +14863,,United Kingdom,1.0,f +29281,100%,Russian Federation,1.0,t +37646,100%,Estonia,60.0,f +47307,,Guinea,3.0,f +28207,,,2.0,f +42113,100%,Guernsey,2.0,f +45280,,Gambia,1.0,t +29825,100%,Indonesia,1.0,t +23297,100%,,1.0,f +47307,,Guinea,3.0,f +47307,,Guinea,3.0,f +29982,,Bosnia and Herzegovina,1.0,t +13176,33%,Fiji,1.0,t +25443,,Estonia,1.0,t +38479,100%,Russian Federation,2.0,t +34695,,,1.0,t +9037,,Niue,1.0,f +34841,100%,Zimbabwe,22.0,t +30186,100%,,1.0,t +19855,100%,Kiribati,37.0,t +25128,100%,Barbados,5.0,t +45000,100%,Montserrat,10.0,t +32845,,Holy See (Vatican City State),1.0,t +48347,100%,,2.0,t +19143,100%,,3.0,t +11279,,Kenya,1.0,f +14289,100%,,2.0,f +37856,,Netherlands,3.0,f +42580,100%,Costa Rica,3.0,f +28678,,Anguilla,1.0,f +29647,100%,Peru,1305.0,f +10711,93%,Uganda,108.0,t +14924,,Sao Tome and Principe,2.0,f +29647,100%,Peru,1305.0,f +10711,93%,Uganda,108.0,t +39323,,Portugal,1.0,f +34969,,Canada,3.0,f +10711,93%,Uganda,108.0,t +7192,100%,Maldives,2.0,f +12647,,Pakistan,1.0,f +29647,100%,Peru,1305.0,f +40480,100%,Lebanon,1.0,t +42199,,Russian Federation,1.0,t +29647,100%,Peru,1305.0,f +45000,100%,Montserrat,10.0,t +16089,83%,Maldives,5.0,f +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +10287,,,1.0,t +11814,100%,Micronesia,7.0,t +49868,100%,,2.0,t +12934,,Micronesia,1.0,f +34030,100%,Senegal,2.0,f +31805,99%,Mauritania,20.0,f +31805,99%,Mauritania,20.0,f +6615,100%,Isle of Man,2.0,t +34841,100%,Zimbabwe,22.0,t +49359,100%,Isle of Man,1.0,f +6894,80%,Estonia,47.0,t +33994,,Denmark,1.0,t +14126,,,1.0,t +11814,100%,Micronesia,7.0,t +17475,100%,France,2.0,f +43070,100%,Gibraltar,1.0,f +12606,,Lebanon,1.0,f +30601,50%,Niue,1.0,f +9861,100%,Guernsey,2.0,f +31805,99%,Mauritania,20.0,f +11181,100%,,2.0,f +15669,,Sao Tome and Principe,6.0,t +44109,100%,United Kingdom,20.0,f +16527,100%,Palestinian Territory,2.0,f +28717,100%,Chad,2.0,t +31805,99%,Mauritania,20.0,f +43040,,,8.0,t +12429,,,1.0,f +22970,100%,Guernsey,1.0,f +5219,25%,,1.0,t +47011,,Malawi,4.0,t +9149,,,1.0,f +41567,100%,Chile,1.0,t +40170,,Guinea,1.0,f +8825,,,1.0,f +42820,100%,Gibraltar,6.0,f +45366,,Niue,1.0,t +16290,60%,United Kingdom,3.0,f +47086,100%,Mauritania,4.0,t +14744,100%,,1.0,t +28837,100%,Wallis and Futuna,3.0,f +25922,100%,,1.0,t +18628,90%,Svalbard & Jan Mayen Islands,1.0,f +38222,100%,,3.0,t +19845,,,1.0,t +49668,100%,Marshall Islands,2.0,f +36850,,,1.0,f +11258,100%,Brazil,1.0,f +23362,100%,Monaco,1.0,t +23761,,Somalia,5.0,t +29223,,Venezuela,1.0,t +47931,100%,Cocos (Keeling) Islands,1.0,t +4330,94%,Ukraine,60.0,t +34884,100%,,1.0,t +38947,100%,Kenya,1.0,f +10828,,Anguilla,1.0,f +9007,,Indonesia,1.0,f +7103,100%,Montserrat,1.0,t +35379,100%,Tonga,4.0,f +16739,,,2.0,f +13102,,,1.0,f +33087,,Russian Federation,1.0,t +48607,,Maldives,1.0,f +27643,,Kenya,1.0,f +35878,,Chad,2.0,t +34316,,,1.0,t +34077,,,2.0,f +10925,,,1.0,f +9237,,,1.0,t +32240,100%,,1.0,t +42095,100%,Rwanda,3.0,f +27783,70%,Nicaragua,1.0,f +14924,,Sao Tome and Principe,2.0,f +37402,80%,Gambia,1.0,f +45827,100%,Sao Tome and Principe,2.0,t +22899,100%,,1.0,t +44549,100%,Niue,1.0,t +47000,100%,Brazil,1.0,f +15291,100%,,3.0,f +7918,,Togo,2.0,f +30887,,,2.0,f +38275,100%,,1.0,f +4270,,,1.0,t +20877,100%,Malta,1.0,f +46106,100%,,4.0,t +18289,,Guinea,1.0,f +41980,100%,Gibraltar,2.0,f +22335,100%,Russian Federation,3.0,t +36881,,Tonga,3.0,f +4054,,Jersey,3.0,t +22933,100%,Zimbabwe,4.0,f +48381,90%,Netherlands,1.0,f +43588,100%,Fiji,7.0,f +13392,,Libyan Arab Jamahiriya,1.0,f +44743,100%,Faroe Islands,1.0,t +8707,73%,Rwanda,21.0,t +7089,,,1.0,t +23034,99%,Monaco,54.0,f +9911,100%,,1.0,f +6343,50%,Micronesia,1.0,t +43588,100%,Fiji,7.0,f +30664,,United Kingdom,1.0,f +9989,100%,,1.0,t +44965,,,1.0,f +31805,99%,Mauritania,20.0,f +44772,100%,Netherlands,2.0,f +44652,100%,Niue,2.0,t +47370,,Marshall Islands,3.0,t +36954,,Sao Tome and Principe,1.0,f +49719,86%,,1.0,t +18209,,Mauritania,1.0,t +15257,0%,,1.0,t +26516,100%,El Salvador,1.0,t +14646,,,1.0,f +49855,,Togo,2.0,f +3376,,Nicaragua,8.0,t +43342,100%,Finland,2.0,t +48645,40%,Faroe Islands,1.0,f +28656,,,1.0,f +29647,100%,Peru,1305.0,f +45950,,Uzbekistan,1.0,t +20290,100%,Bahrain,1.0,t +1772,,Gibraltar,1.0,f +37474,,Tonga,1.0,t +32169,,Denmark,3.0,t +1762,,French Guiana,1.0,t +16803,100%,Brazil,2.0,t +12944,50%,,1.0,t +10089,,Libyan Arab Jamahiriya,1.0,t +40280,,French Guiana,1.0,t +8361,,Monaco,1.0,t +3278,90%,Guinea,2.0,t +24991,100%,Indonesia,14.0,f +29505,100%,Guinea,1.0,f +49746,100%,,2.0,t +40137,100%,Anguilla,1.0,t +17817,100%,Croatia,13.0,t +4739,100%,Micronesia,1.0,t +27976,100%,Monaco,1.0,t +17817,100%,Croatia,13.0,t +17817,100%,Croatia,13.0,t +28730,,Bosnia and Herzegovina,1.0,t +49957,,Zimbabwe,3.0,t +40407,,Kenya,1.0,t +17863,100%,Slovakia (Slovak Republic),1.0,t +49592,,Marshall Islands,1.0,f +21299,,Malawi,1.0,f +18161,,Denmark,3.0,f +18298,0%,Uzbekistan,1.0,f +5583,,Tonga,1.0,t +25713,,,1.0,f +36914,100%,Nauru,1.0,t +24464,100%,Venezuela,2.0,f +30235,,,1.0,f +45420,,France,2.0,t +49948,,Lebanon,1.0,t +39515,100%,United Kingdom,5.0,t +14499,,Monaco,3.0,f +18258,90%,Niue,2.0,f +48803,,,1.0,f +16253,,Canada,1.0,t +24991,100%,Indonesia,14.0,f +40636,100%,Gibraltar,1.0,f +43301,100%,Tunisia,1.0,f +24991,100%,Indonesia,14.0,f +14517,100%,Gibraltar,2.0,t +31049,100%,,2.0,f +22592,,Maldives,1.0,t +44711,,Croatia,1.0,t +25976,100%,Niue,1.0,t +2690,100%,Guinea,2.0,t +39109,77%,Ukraine,24.0,t +45820,0%,,3.0,f +43997,90%,France,1.0,f +43390,100%,,2.0,f +6160,,Vanuatu,1.0,f +27078,,El Salvador,1.0,t +31514,75%,Gibraltar,2.0,f +44374,,,1.0,t +36234,97%,Fiji,12.0,t +10711,93%,Uganda,108.0,t +10711,93%,Uganda,108.0,t +49494,89%,Russian Federation,1.0,f +10711,93%,Uganda,108.0,t +17788,0%,Australia,2.0,t +20634,,Estonia,1.0,f +30499,,,1.0,f +39109,77%,Ukraine,24.0,t +17005,,,1.0,t +5057,100%,Zimbabwe,23.0,t +11415,,Russian Federation,1.0,f +39999,100%,Niue,3.0,f +39999,100%,Niue,3.0,f +39999,100%,Niue,3.0,f +14694,,,1.0,f +41369,100%,Turkmenistan,1.0,t +35847,,,1.0,t +28912,100%,Papua New Guinea,2.0,t +7331,99%,Indonesia,8.0,t +512,,Nicaragua,1.0,f +48881,,French Guiana,2.0,t +22539,100%,Isle of Man,1.0,f +20823,,Jersey,1.0,f +22794,50%,Cape Verde,36.0,t +35017,100%,,1.0,t +6496,83%,Cuba,2.0,t +39214,88%,Vietnam,2.0,f +36175,,Ecuador,1.0,t +22624,100%,,1.0,t +17730,,Sao Tome and Principe,1.0,t +21838,100%,Guinea,1.0,t +25477,,Lebanon,2.0,t +48745,,Niue,1.0,f +38714,,Uganda,1.0,f +12554,,Micronesia,1.0,f +22131,,,1.0,f +30784,,Nauru,2.0,t +45710,100%,,2.0,t +2892,,Niger,1.0,t +10883,100%,Niger,8.0,t +26361,100%,Vanuatu,3.0,f +41976,,,1.0,f +17031,80%,Reunion,7.0,t +44241,,,1.0,t +43410,,Niue,3.0,t +48173,89%,Jersey,1.0,t +44207,80%,Djibouti,8.0,t +44207,80%,Djibouti,8.0,t +28268,80%,,7.0,t +50040,100%,Micronesia,15.0,t +32488,,Senegal,17.0,t +29583,,,3.0,t +4157,100%,Malta,4.0,f +9557,,Niue,1.0,f +37646,100%,Estonia,60.0,f +7580,100%,Faroe Islands,1.0,f +14162,,Lebanon,1.0,f +31049,100%,,2.0,f +39304,75%,Togo,2.0,t +29846,100%,Maldives,7.0,f +37116,,Malawi,1.0,t +29647,100%,Peru,1305.0,f +45609,100%,,1.0,t +15729,,French Guiana,1.0,t +29647,100%,Peru,1305.0,f +802,,Saint Helena,1.0,t +41874,,Malta,1.0,f +6308,,Togo,1.0,f +34969,,Canada,3.0,f +32618,100%,Anguilla,2.0,f +31314,100%,Guinea,4.0,t +37600,,,1.0,f +21328,,Australia,1.0,t +7315,100%,Monaco,1.0,f +12288,100%,,1.0,t +16156,,Marshall Islands,1.0,t +15305,100%,,1.0,t +14326,,,1.0,f +9073,50%,,1.0,t +27872,,Denmark,3.0,t +1208,100%,Brunei Darussalam,4.0,t +47647,,Chad,1.0,f +18060,,,1.0,t +11770,,Lebanon,2.0,t +32169,,Denmark,3.0,t +41690,,Kiribati,1.0,t +434,,Croatia,1.0,t +8474,,,1.0,t +16713,,Niger,1.0,t +44180,,Chad,1.0,t +20836,,,1.0,f +48338,100%,Maldives,4.0,t +31915,,,1.0,f +18308,,Croatia,1.0,t +36923,,Kenya,1.0,f +28195,,Isle of Man,1.0,f +29703,100%,Niue,1.0,f +24572,100%,Malta,3.0,t +28555,100%,Russian Federation,3.0,f +37496,,Guinea,1.0,f +22002,100%,Anguilla,2.0,t +40848,100%,Niue,3.0,f +7781,,,1.0,f +19944,100%,Kiribati,12.0,f +28265,100%,,1.0,t +2282,,,1.0,f +2223,100%,Zimbabwe,1.0,t +29762,0%,Brazil,1.0,t +37702,100%,Gibraltar,1.0,f +30368,,Uganda,1.0,f +4765,,Lebanon,1.0,t +4933,100%,Uganda,3.0,t +2484,100%,,2.0,t +18332,100%,,2.0,f +13873,50%,,2.0,t +13238,100%,Andorra,1.0,f +39515,100%,United Kingdom,5.0,t +42905,100%,Kiribati,1.0,f +23834,,French Polynesia,1.0,t +17868,100%,Niue,2.0,f +6170,70%,Russian Federation,1.0,t +16237,100%,Sao Tome and Principe,1.0,t +39897,100%,Sao Tome and Principe,1.0,f +11664,,,6.0,f +49342,40%,,1.0,f +4287,,Micronesia,1.0,t +2412,60%,,1.0,f +48120,,Jersey,1.0,f +45769,100%,Niue,1.0,f +13957,,,1.0,t +13671,100%,,1.0,f +31195,,Russian Federation,1.0,f +13039,80%,Russian Federation,2.0,t +32556,90%,Estonia,11.0,t +31936,100%,Vanuatu,2.0,f +6305,100%,,1.0,t +27233,100%,Zimbabwe,1.0,t +8709,,Anguilla,2.0,t +8712,100%,Congo,1.0,f +9684,100%,Monaco,1.0,t +41332,100%,,4.0,f +24858,100%,Indonesia,2.0,t +23101,80%,,1.0,t +23477,,Sao Tome and Principe,1.0,t +36959,,Peru,1.0,f +13076,50%,,1.0,t +367,,,1.0,f +17695,71%,,2.0,f +32198,100%,France,3.0,t +44863,100%,Jersey,1.0,t +1659,,Rwanda,1.0,t +16647,,,1.0,t +39386,,,2.0,f +48422,100%,,1.0,t +2832,,,1.0,f +212,100%,,1.0,f +43189,100%,Croatia,2.0,t +42911,100%,Vietnam,1.0,t +43189,100%,Croatia,2.0,t +13412,90%,,1.0,f +44933,,Niue,1.0,f +11191,,,1.0,f +28960,100%,Papua New Guinea,1.0,f +963,,Vietnam,2.0,f +38553,,,2.0,f +40659,,,1.0,f +10748,,,1.0,f +38553,,,2.0,f +17277,,,2.0,f +40717,100%,France,1.0,f +40656,100%,Sao Tome and Principe,1.0,f +9363,95%,Ukraine,50.0,f +33672,50%,,1.0,f +33855,,,1.0,t +24896,100%,Algeria,50.0,t +1321,0%,Uzbekistan,2.0,f +35792,80%,,2.0,f +28404,100%,Croatia,1.0,t +716,,Korea,1.0,t +18246,,,1.0,f +12137,99%,Sao Tome and Principe,33.0,t +23270,100%,Indonesia,4.0,f +40589,100%,,1.0,t +11476,,Faroe Islands,1.0,f +22488,100%,,2.0,t +48608,100%,Gambia,1.0,f +49835,,Chad,1.0,t +47938,100%,Niue,4.0,f +44810,,,2.0,t +9363,95%,Ukraine,50.0,f +31986,100%,Uzbekistan,1.0,t +41775,100%,Togo,2.0,t +1259,,Sao Tome and Principe,1.0,f +13833,,,1.0,f +12105,,Uzbekistan,1.0,t +1353,,France,1.0,t +41775,100%,Togo,2.0,t +33294,,,1.0,f +43268,,Anguilla,1.0,t +15666,100%,Russian Federation,3.0,f +33269,,Ecuador,4.0,f +20796,100%,Togo,2.0,f +6362,,Nauru,1.0,f +49772,100%,Jersey,1.0,f +19402,,,1.0,f +1505,100%,Costa Rica,1.0,t +50060,,Russian Federation,1.0,f +47017,100%,Turks and Caicos Islands,3.0,t +14386,100%,Nicaragua,8.0,f +41888,,,1.0,f +8952,100%,Montserrat,4.0,t +2550,,Tonga,2.0,t +29890,100%,United Kingdom,2.0,t +15914,90%,,1.0,f +35177,,Kenya,1.0,t +14386,100%,Nicaragua,8.0,f +20949,,,1.0,t +26857,,Nauru,3.0,t +47957,,,1.0,f +20089,100%,Rwanda,1.0,t +6924,100%,Uzbekistan,1.0,f +35019,50%,,1.0,t +45784,100%,,1.0,t +39407,,,2.0,t +5283,100%,Guinea,1.0,t +20678,93%,Gibraltar,1.0,f +9391,100%,Croatia,2.0,t +34040,,,1.0,f +27558,0%,,1.0,f +2550,,Tonga,2.0,t +3796,,Togo,1.0,f +16453,,Denmark,1.0,f +16313,,Cape Verde,1.0,f +16708,90%,,1.0,f +34795,,Indonesia,1.0,f +24621,100%,Tonga,2.0,f +45264,100%,Costa Rica,1.0,f +46086,,,2.0,f +959,100%,United Kingdom,1.0,t +33705,90%,,1.0,f +862,100%,,1.0,f +35236,100%,Chile,1.0,t +37206,67%,Tanzania,1.0,t +35525,100%,,1.0,t +4902,80%,Djibouti,3.0,t +6134,,,3.0,t +49122,0%,,1.0,f +14294,,,1.0,f +48442,100%,Nicaragua,5.0,t +9227,90%,,3.0,t +6078,,Cocos (Keeling) Islands,1.0,t +33148,100%,Turkmenistan,1.0,f +29647,100%,Peru,1305.0,f +43410,,Niue,3.0,t +39636,,Lebanon,1.0,f +28413,100%,Faroe Islands,2.0,t +24540,,Cocos (Keeling) Islands,1.0,t +45288,,Niue,1.0,f +35792,80%,,2.0,f +16960,100%,Togo,2.0,t +17669,100%,Russian Federation,3.0,f +17669,100%,Russian Federation,3.0,f +44463,,,1.0,t +7415,100%,Uzbekistan,8.0,f +17031,80%,Reunion,7.0,t +30611,33%,,1.0,t +10299,,Tunisia,1.0,t +30754,,Niue,2.0,t +15971,100%,Anguilla,2.0,t +23609,100%,Indonesia,4.0,f +40985,100%,Guinea,15.0,t +12157,90%,,3.0,f +48840,100%,Uzbekistan,9.0,f +39397,,Guinea,3.0,t +37119,75%,United Kingdom,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +31151,100%,Gambia,1.0,t +15149,,,1.0,t +26952,,Russian Federation,3.0,t +20243,100%,,1.0,t +38996,90%,Guinea,3.0,f +35753,93%,Cocos (Keeling) Islands,3.0,t +23192,,Ghana,1.0,t +31652,100%,Kenya,8.0,t +42261,100%,Niue,1.0,f +9840,,Malta,2.0,t +49751,100%,,2.0,f +7697,,,1.0,f +11664,,,6.0,f +11664,,,6.0,f +37459,100%,,4.0,f +37459,100%,,4.0,f +37459,100%,,4.0,f +39717,,Barbados,1.0,t +28828,100%,Isle of Man,198.0,t +13840,,Isle of Man,1.0,f +2183,100%,Isle of Man,3.0,f +11888,,Brunei Darussalam,2.0,f +36656,,Russian Federation,1.0,t +633,,Denmark,1.0,f +7135,,,1.0,f +1834,100%,Niue,1.0,t +19266,100%,Isle of Man,2.0,t +44121,100%,Nicaragua,5.0,f +18222,100%,Barbados,2.0,f +31339,,,3.0,t +28851,100%,Guinea,4.0,t +21181,100%,Guinea,1.0,t +28218,,,1.0,t +49530,67%,Brunei Darussalam,1.0,f +23847,100%,,1.0,f +39979,80%,Guernsey,1.0,t +9467,100%,,2.0,f +38802,90%,Mexico,2.0,t +8451,,Ecuador,1.0,f +18181,100%,Costa Rica,1.0,t +26557,,Togo,1.0,f +8414,,,1.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +44759,100%,Isle of Man,1.0,t +29455,100%,Kenya,3.0,f +44772,100%,Netherlands,2.0,f +1936,,Lithuania,1.0,f +20137,,,1.0,f +10050,,Rwanda,1.0,t +10356,,Lebanon,1.0,f +32357,70%,,1.0,f +48665,,Sao Tome and Principe,1.0,f +12598,100%,Montserrat,3.0,f +7677,,Ecuador,3.0,t +16677,,Rwanda,3.0,t +45802,100%,Cape Verde,2.0,t +26225,100%,El Salvador,2.0,t +6757,,Cuba,1.0,t +26225,100%,El Salvador,2.0,t +45243,100%,,3.0,t +32683,90%,Libyan Arab Jamahiriya,2.0,f +49768,80%,Montserrat,7.0,t +18965,100%,,1.0,f +27318,,Rwanda,2.0,f +20917,,Turkmenistan,2.0,t +35749,,Nauru,1.0,t +28573,,Jersey,1.0,t +42782,,Gibraltar,1.0,t +24698,86%,Russian Federation,2.0,f +18348,100%,Guinea,1.0,t +21273,80%,Marshall Islands,2.0,t +31041,96%,Ecuador,35.0,f +4102,100%,Malta,1.0,f +29583,,,3.0,t +43818,,,1.0,f +39255,100%,Anguilla,2.0,t +46909,,Jersey,2.0,t +187,100%,Uzbekistan,1.0,t +3784,,,1.0,f +41162,,Niue,2.0,f +30208,,Cocos (Keeling) Islands,1.0,f +26856,100%,Mauritania,1.0,t +21013,100%,Isle of Man,1.0,t +43131,100%,Vanuatu,2.0,f +43131,100%,Vanuatu,2.0,f +19997,100%,,1.0,t +9255,,Vietnam,10.0,f +41049,100%,,1.0,f +43572,100%,Portugal,1.0,t +49768,80%,Montserrat,7.0,t +22008,0%,,1.0,f +13287,100%,,1.0,f +15192,,Sao Tome and Principe,2.0,t +34956,,Afghanistan,1.0,f +29647,100%,Peru,1305.0,f +48130,,,1.0,f +30426,100%,Kenya,1.0,f +29647,100%,Peru,1305.0,f +25824,100%,Croatia,1.0,t +49262,,Isle of Man,1.0,t +32990,100%,Uganda,1.0,f +26731,50%,,1.0,t +14180,,Russian Federation,1.0,t +28452,100%,Mauritania,2.0,t +40188,,Mexico,1.0,f +30522,100%,,1.0,f +6796,,Turks and Caicos Islands,1.0,f +21295,,,1.0,f +4248,50%,Tunisia,2.0,f +30140,100%,Lebanon,4.0,t +31909,,El Salvador,2.0,t +33015,,Marshall Islands,1.0,t +27972,94%,Brazil,27.0,f +14195,100%,,2.0,f +39255,100%,Anguilla,2.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +35833,83%,Estonia,9.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +34969,,Canada,3.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +24157,,Guinea,4.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +2403,50%,Gibraltar,2.0,f +43813,,Chad,1.0,t +2219,,Uganda,1.0,t +31783,88%,,1.0,f +27770,,French Polynesia,1.0,f +21617,,Niue,1.0,f +11681,,Monaco,1.0,t +26627,71%,Monaco,1.0,f +14859,,Turkmenistan,1.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +25290,,Svalbard & Jan Mayen Islands,1.0,t +9282,100%,Slovakia (Slovak Republic),34.0,f +27695,,Maldives,1.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +46517,100%,Uzbekistan,2.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +18596,100%,France,1.0,t +12598,100%,Montserrat,3.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +4248,50%,Tunisia,2.0,f +29213,,Kenya,1.0,f +9187,100%,Zimbabwe,3.0,f +43256,,Micronesia,3.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +26930,,Jersey,1.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +9282,100%,Slovakia (Slovak Republic),34.0,f +40985,100%,Guinea,15.0,t +2644,100%,Zimbabwe,11.0,t +40985,100%,Guinea,15.0,t +40985,100%,Guinea,15.0,t +93,100%,,1.0,f +38163,100%,Venezuela,3.0,f +214,,,1.0,t +29340,,Isle of Man,1.0,t +32233,80%,Gibraltar,1.0,f +19167,,,1.0,f +45865,50%,,3.0,f +10285,,,2.0,f +3744,,Togo,1.0,t +36178,100%,,4.0,t +37152,,,2.0,f +22279,90%,Finland,3.0,t +7678,,Rwanda,1.0,f +32938,,Lebanon,1.0,t +31707,100%,Niger,48.0,f +30147,,China,1.0,t +40782,60%,,1.0,f +31707,100%,Niger,48.0,f +31707,100%,Niger,48.0,f +49365,70%,Rwanda,2.0,t +10049,,Ecuador,1.0,t +11126,100%,Anguilla,3.0,t +19811,90%,Nicaragua,21.0,t +40868,,Turkmenistan,1.0,t +31760,100%,,2.0,t +18134,,Mauritania,1.0,f +10371,,Jersey,1.0,f +49593,100%,,1.0,f +1267,100%,,1.0,f +47707,,,1.0,f +13329,100%,,3.0,t +13329,100%,,3.0,t +38315,100%,,1.0,t +38802,90%,Mexico,2.0,t +34974,100%,,2.0,t +15402,,Zimbabwe,1.0,t +7719,33%,Tanzania,1.0,t +34974,100%,,2.0,t +35563,,French Guiana,1.0,f +39913,85%,Mauritania,1.0,f +46322,,Denmark,1.0,f +35101,,Russian Federation,1.0,t +11207,100%,United Kingdom,6.0,f +46166,100%,Jersey,2.0,t +24223,100%,Mexico,2.0,f +12591,100%,Maldives,4.0,t +22289,100%,Guinea,1.0,t +3236,100%,France,1.0,t +22310,,,1.0,f +32491,,Sao Tome and Principe,1.0,t +31707,100%,Niger,48.0,f +37113,,,1.0,f +27472,100%,,1.0,f +982,99%,Marshall Islands,32.0,f +10402,100%,Guinea,1.0,t +33977,,Faroe Islands,1.0,f +28413,100%,Faroe Islands,2.0,t +21003,,Micronesia,1.0,t +1954,100%,,1.0,f +31707,100%,Niger,48.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +31707,100%,Niger,48.0,f +19248,25%,Maldives,3.0,f +13912,100%,Malta,1.0,t +11325,0%,Tonga,18.0,f +3909,,Bosnia and Herzegovina,1.0,t +720,100%,,1.0,f +18674,,Bosnia and Herzegovina,1.0,f +3695,,,1.0,f +37504,100%,Micronesia,3.0,t +4811,100%,Wallis and Futuna,2.0,f +25806,100%,Spain,3.0,t +28191,,,3.0,t +20391,,,1.0,t +7692,,,1.0,f +19577,83%,Niue,2.0,t +42188,,Niger,1.0,f +5718,,Yemen,4.0,t +28424,,Venezuela,2.0,f +26963,,Guinea,1.0,t +26662,,Jersey,1.0,t +36197,100%,Niue,1.0,f +4480,,Barbados,2.0,t +28095,67%,Peru,1.0,f +19958,100%,Congo,40.0,t +12460,,Australia,2.0,f +18638,,Togo,1.0,f +984,,Malta,1.0,t +27065,,Brazil,1.0,f +46685,100%,Tonga,1.0,t +20789,98%,Sao Tome and Principe,13.0,f +45399,,United Kingdom,1.0,f +17522,78%,,1.0,t +15732,,,1.0,f +3818,100%,,1.0,f +42190,96%,Croatia,4.0,t +17201,100%,Uzbekistan,1.0,f +23360,83%,Svalbard & Jan Mayen Islands,2.0,f +24059,,,1.0,t +29786,100%,,1.0,t +12591,100%,Maldives,4.0,t +31091,,Christmas Island,1.0,t +29522,80%,Isle of Man,1.0,t +29978,89%,Uzbekistan,26.0,f +35348,,Suriname,2.0,t +33091,,Croatia,1.0,t +35374,100%,Denmark,2.0,f +48285,,Anguilla,1.0,f +44062,,,1.0,t +16840,100%,Mexico,1.0,t +48769,100%,Indonesia,4.0,t +21462,100%,Guinea,4.0,t +16740,,Uganda,1.0,t +23146,100%,,6.0,f +29229,,,1.0,f +22152,100%,Micronesia,2.0,t +20618,100%,Chile,1.0,t +40949,100%,Papua New Guinea,1.0,t +20934,90%,El Salvador,1.0,t +40564,83%,Cape Verde,1.0,f +29989,100%,Marshall Islands,2.0,t +31199,,Niue,1.0,f +14335,,Holy See (Vatican City State),2.0,t +36787,50%,,1.0,f +31805,99%,Mauritania,20.0,f +37806,100%,Russian Federation,3.0,t +1067,,,1.0,f +1292,0%,Maldives,1.0,f +16694,,Russian Federation,3.0,f +29994,,Saint Helena,1.0,t +35788,100%,Isle of Man,1.0,t +11080,100%,Guinea,1.0,f +19708,,,1.0,t +16694,,Russian Federation,3.0,f +13424,89%,Tonga,1.0,t +2429,100%,Tonga,6.0,f +16102,,Bosnia and Herzegovina,1.0,f +45185,83%,,4.0,f +38264,88%,Russian Federation,4.0,f +45130,,El Salvador,1.0,t +1761,,Lebanon,1.0,t +21077,100%,Togo,1.0,t +25468,,Guinea,1.0,f +37704,96%,Fiji,26.0,f +1193,100%,,1.0,f +21912,,Brazil,1.0,f +13252,100%,Tonga,1.0,f +8198,100%,,5.0,f +37704,96%,Fiji,26.0,f +22121,,,2.0,f +30996,,Tanzania,1.0,t +7503,,Nicaragua,1.0,t +49428,100%,Croatia,1.0,f +46297,100%,Sao Tome and Principe,12.0,t +46297,100%,Sao Tome and Principe,12.0,t +46297,100%,Sao Tome and Principe,12.0,t +43152,100%,Nicaragua,82.0,t +10730,80%,,2.0,t +37704,96%,Fiji,26.0,f +16444,,Brazil,1.0,f +2976,100%,Tanzania,2.0,t +12631,,,1.0,f +37704,96%,Fiji,26.0,f +3500,,Indonesia,1.0,t +10711,93%,Uganda,108.0,t +45863,100%,,2.0,t +2119,,,1.0,f +23022,67%,Niue,10.0,t +2454,,Sao Tome and Principe,1.0,t +26045,100%,Kiribati,4.0,t +26154,100%,,1.0,f +46255,,Isle of Man,1.0,f +30641,100%,,1.0,t +4434,100%,,1.0,f +42562,,,1.0,t +6934,,,1.0,t +9646,,Rwanda,1.0,f +256,100%,Rwanda,2.0,f +10096,,,1.0,f +29635,,,1.0,f +37704,96%,Fiji,26.0,f +29647,100%,Peru,1305.0,f +3355,78%,Faroe Islands,2.0,t +28568,100%,Faroe Islands,3.0,f +37704,96%,Fiji,26.0,f +29647,100%,Peru,1305.0,f +33344,100%,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +15137,100%,Marshall Islands,10.0,t +29647,100%,Peru,1305.0,f +45835,100%,Peru,3.0,t +24026,98%,Cape Verde,69.0,t +43307,100%,Faroe Islands,1.0,f +14979,89%,Nicaragua,1.0,f +28014,,Monaco,1.0,f +2690,100%,Guinea,2.0,t +37704,96%,Fiji,26.0,f +15029,100%,Micronesia,1.0,t +38332,,Niue,1.0,f +10891,,,1.0,f +20713,,Guernsey,1.0,t +45043,100%,Chad,10.0,f +40020,100%,Zimbabwe,1.0,f +46349,,Niue,1.0,f +29647,100%,Peru,1305.0,f +3417,,Fiji,32.0,t +3028,,El Salvador,1.0,f +13365,100%,Indonesia,7.0,t +45076,100%,,1.0,t +10430,,Gambia,1.0,f +47709,,Nauru,1.0,t +1241,100%,Chile,1.0,f +49217,100%,Isle of Man,2.0,t +15658,100%,Afghanistan,1.0,t +2254,,Svalbard & Jan Mayen Islands,1.0,t +46474,100%,,1.0,t +319,,Ecuador,1.0,f +23936,,Cook Islands,2.0,t +16689,,Monaco,2.0,t +43727,100%,,1.0,t +7255,100%,Bouvet Island (Bouvetoya),8.0,t +47592,100%,,2.0,f +24584,100%,Spain,4.0,t +34774,100%,Zimbabwe,1.0,t +407,67%,Bahrain,1.0,f +32520,,,1.0,f +7161,,Jersey,1.0,f +29647,100%,Peru,1305.0,f +2198,100%,Marshall Islands,1.0,t +39645,100%,,1.0,t +1220,,Zimbabwe,2.0,f +34004,,,1.0,f +36088,100%,Niue,2.0,f +21821,,,1.0,t +17296,100%,,3.0,f +28924,100%,,1.0,f +3007,,Holy See (Vatican City State),1.0,f +18873,100%,Somalia,1.0,t +40749,,Estonia,1.0,f +21429,,Tonga,2.0,f +38617,100%,Isle of Man,1.0,t +22331,99%,Rwanda,50.0,t +48361,100%,,1.0,t +19357,,Croatia,1.0,f +17137,70%,Russian Federation,1.0,t +16027,,Barbados,8.0,t +45588,100%,,1.0,t +49640,100%,,2.0,t +18657,100%,Gambia,1.0,t +885,,Somalia,1.0,f +11783,100%,Turkmenistan,1.0,t +4665,100%,Reunion,4.0,t +47024,29%,,1.0,f +14213,,,1.0,f +9796,100%,,1.0,t +3375,50%,Uzbekistan,2.0,t +2560,,,1.0,t +49174,,,1.0,f +15409,100%,Ecuador,1.0,t +46883,100%,Tanzania,2.0,t +14360,,,1.0,t +33306,,Kenya,1.0,f +42927,,Jersey,1.0,f +33686,100%,,2.0,t +43101,100%,China,2.0,t +31707,100%,Niger,48.0,f +15838,90%,,1.0,t +3978,100%,,1.0,t +11567,100%,Niger,31.0,t +28191,,,3.0,t +9080,0%,Peru,1.0,t +34240,,Pakistan,1.0,t +28191,,,3.0,t +42390,100%,Wallis and Futuna,96.0,t +15383,63%,,1.0,f +42390,100%,Wallis and Futuna,96.0,t +42390,100%,Wallis and Futuna,96.0,t +32166,100%,Bosnia and Herzegovina,4.0,t +37686,90%,Monaco,1.0,t +31805,99%,Mauritania,20.0,f +43645,,Vanuatu,1.0,f +21457,100%,Russian Federation,4.0,t +43528,,Rwanda,1.0,f +15590,,Jersey,1.0,f +37989,100%,Micronesia,1.0,t +18475,100%,Nicaragua,1.0,f +42113,100%,Guernsey,2.0,f +3391,100%,Iran,58.0,t +38899,100%,Mauritania,1.0,t +3391,100%,Iran,58.0,t +41636,90%,,1.0,f +42903,100%,Cape Verde,1.0,t +13655,,,1.0,f +15198,,Rwanda,1.0,t +33269,,Ecuador,4.0,f +12157,90%,,3.0,f +24026,98%,Cape Verde,69.0,t +8198,100%,,5.0,f +12715,100%,Estonia,29.0,f +8138,,Lebanon,8.0,f +10061,100%,Mauritania,1.0,t +31072,100%,Montserrat,6.0,t +38186,100%,,3.0,t +6304,80%,,2.0,t +14401,,Jersey,2.0,t +10025,100%,Zimbabwe,4.0,t +30708,100%,Australia,5.0,f +20334,99%,Niger,171.0,t +10587,,Russian Federation,2.0,t +49118,100%,,1.0,f +36967,100%,Barbados,7.0,t +11405,,Maldives,2.0,f +20165,94%,Ukraine,30.0,f +16705,,Micronesia,1.0,f +10587,,Russian Federation,2.0,t +12620,,Denmark,1.0,f +2909,,,1.0,t +32619,100%,,1.0,t +36495,50%,Denmark,1.0,f +6820,100%,,2.0,f +10726,100%,,1.0,f +44682,100%,Guinea,2.0,f +19483,,Chad,1.0,t +41104,100%,Estonia,6.0,t +19071,100%,Niue,1.0,t +21032,,Jersey,1.0,f +9526,,,1.0,t +29949,80%,,2.0,t +8452,,Russian Federation,1.0,f +41979,100%,Sao Tome and Principe,1.0,t +45433,,Chad,1.0,t +29262,,Isle of Man,1.0,t +43233,,Tonga,1.0,f +13212,100%,Zimbabwe,12.0,t +2129,100%,,1.0,f +24664,,Holy See (Vatican City State),1.0,f +13212,100%,Zimbabwe,12.0,t +43410,,Niue,3.0,t +16684,100%,Tonga,1.0,t +48185,100%,Mexico,1.0,t +45737,,Tonga,29.0,t +10046,,Maldives,1.0,t +5104,90%,,2.0,f +36808,100%,Mexico,2.0,t +42945,100%,,1.0,f +5690,100%,Isle of Man,2.0,t +5463,100%,Peru,2.0,f +33974,100%,,1.0,t +11005,100%,,1.0,t +48810,,Uzbekistan,1.0,t +10202,89%,Nicaragua,10.0,f +27590,100%,Suriname,8.0,t +28673,100%,,1.0,f +400,,Lebanon,1.0,t +4570,100%,Guinea,4.0,t +34516,,Faroe Islands,1.0,t +36941,100%,Uzbekistan,3.0,t +25849,,Nauru,1.0,t +41809,100%,Uzbekistan,1.0,f +20646,,French Guiana,1.0,t +23733,,El Salvador,1.0,t +10752,0%,,1.0,f +21433,100%,Lebanon,1.0,t +2319,,Malta,1.0,f +23360,83%,Svalbard & Jan Mayen Islands,2.0,f +46151,100%,Croatia,1.0,t +12280,100%,Canada,2.0,t +5014,100%,,1.0,t +1363,100%,Brazil,1.0,t +32144,,Marshall Islands,1.0,f +38145,,Gambia,1.0,t +36043,,Mauritania,1.0,t +10296,,,1.0,f +3499,88%,Gibraltar,1.0,f +27237,100%,Malta,2.0,t +17342,100%,,1.0,t +26769,,Philippines,2.0,t +19944,100%,Kiribati,12.0,f +580,,Costa Rica,1.0,f +45866,100%,Isle of Man,1.0,t +7959,100%,Peru,1.0,f +23425,100%,Anguilla,2.0,f +4570,100%,Guinea,4.0,t +255,50%,Gibraltar,1.0,f +29647,100%,Peru,1305.0,f +22775,,,1.0,t +29647,100%,Peru,1305.0,f +23425,100%,Anguilla,2.0,f +43707,100%,Gibraltar,2.0,t +3941,100%,,3.0,f +39187,,,2.0,f +7714,100%,,2.0,t +46042,100%,Sao Tome and Principe,1.0,t +49768,80%,Montserrat,7.0,t +28625,100%,,2.0,t +15218,,Micronesia,2.0,f +39109,77%,Ukraine,24.0,t +42834,,,1.0,f +43581,100%,Reunion,1.0,t +38098,100%,Zimbabwe,7.0,t +31707,100%,Niger,48.0,f +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +47803,,,1.0,f +36635,100%,Indonesia,10.0,f +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +3114,,,1.0,f +27877,,Russian Federation,1.0,f +47114,100%,,2.0,f +31444,100%,Reunion,25.0,f +40803,,Zimbabwe,1.0,t +6950,,Bosnia and Herzegovina,1.0,f +5216,,Gambia,3.0,f +24026,98%,Cape Verde,69.0,t +8707,73%,Rwanda,21.0,t +32724,100%,Sao Tome and Principe,1.0,f +42418,,Somalia,1.0,t +20060,,Guernsey,5.0,t +32026,,Malawi,1.0,t +162,100%,Papua New Guinea,2.0,f +23635,100%,Turkmenistan,1.0,t +38775,,,1.0,f +36653,,,1.0,t +23563,,Isle of Man,1.0,f +11379,,,1.0,t +1110,,Cape Verde,1.0,t +32140,90%,Tunisia,1.0,t +24026,98%,Cape Verde,69.0,t +19350,100%,,2.0,t +36565,100%,Micronesia,2.0,f +11626,,,1.0,t +10711,93%,Uganda,108.0,t +36094,,Guinea,1.0,t +26045,100%,Kiribati,4.0,t +44804,,French Guiana,1.0,t +41104,100%,Estonia,6.0,t +28174,,Denmark,1.0,f +47774,,Bosnia and Herzegovina,2.0,t +9915,,Brunei Darussalam,2.0,f +49181,,,1.0,t +18474,,Finland,1.0,f +47895,,,1.0,f +11126,100%,Anguilla,3.0,t +4876,,Senegal,9.0,f +39959,71%,,2.0,t +2905,100%,Anguilla,1.0,f +25158,89%,,2.0,t +2131,100%,,1.0,t +13442,100%,Barbados,1.0,t +12134,50%,,1.0,f +39888,,,1.0,f +33440,88%,Isle of Man,3.0,f +38638,80%,,1.0,t +29647,100%,Peru,1305.0,f +9363,95%,Ukraine,50.0,f +30551,,Afghanistan,2.0,t +12423,100%,Netherlands Antilles,1.0,f +1451,,United Kingdom,1.0,f +32346,100%,United Kingdom,3.0,f +38370,,Kenya,1.0,f +29846,100%,Maldives,7.0,f +27972,94%,Brazil,27.0,f +20635,100%,Micronesia,1.0,t +49598,,Switzerland,4.0,t +29846,100%,Maldives,7.0,f +18452,90%,Barbados,2.0,f +42295,100%,,1.0,f +33135,100%,Indonesia,3.0,t +36237,100%,,1.0,t +48679,100%,Reunion,3.0,t +3412,100%,Papua New Guinea,1.0,f +32766,100%,Faroe Islands,2.0,f +34997,70%,,1.0,t +45737,,Tonga,29.0,t +5332,82%,,5.0,t +37857,,Turkmenistan,2.0,t +21961,82%,Lao People's Democratic Republic,2.0,t +21883,,Bahrain,11.0,t +7683,,Niue,1.0,f +15915,94%,,4.0,t +25389,,,1.0,f +35394,100%,Russian Federation,1.0,t +34323,100%,Cape Verde,1.0,f +31338,,,1.0,f +2334,100%,Netherlands Antilles,1.0,f +11433,,Lebanon,1.0,f +46691,90%,Uzbekistan,38.0,f +38303,100%,Peru,1.0,t +24235,,Libyan Arab Jamahiriya,1.0,t +26703,,Uganda,1.0,f +46691,90%,Uzbekistan,38.0,f +1217,,,1.0,f +21025,,,1.0,t +10711,93%,Uganda,108.0,t +23843,100%,Isle of Man,3.0,t +31875,100%,Maldives,12.0,t +38147,,,1.0,f +29946,,Malta,1.0,f +44814,,,1.0,f +9130,,Croatia,1.0,f +8349,,Guernsey,1.0,f +11375,,Saint Helena,2.0,t +36323,,Guinea,2.0,t +43322,,Nicaragua,1.0,f +24058,100%,Canada,2.0,t +22488,100%,,2.0,t +45835,100%,Peru,3.0,t +48455,89%,Uzbekistan,20.0,t +42266,100%,,2.0,t +44368,,Malawi,1.0,t +2789,100%,Russian Federation,2.0,t +25222,80%,Kenya,11.0,t +3403,100%,Gambia,1.0,f +30116,100%,Nicaragua,2.0,f +46691,90%,Uzbekistan,38.0,f +24408,,Micronesia,2.0,f +6964,,Niue,1.0,f +38244,,,1.0,f +28858,,Vanuatu,1.0,f +48610,100%,Niue,3.0,f +27676,100%,,1.0,t +8625,,,1.0,t +23656,,Turks and Caicos Islands,2.0,f +6027,82%,Wallis and Futuna,2.0,f +41742,90%,Slovakia (Slovak Republic),3.0,t +8492,,,1.0,t +31818,,,3.0,f +41353,,Rwanda,1.0,t +48182,100%,,1.0,f +10907,71%,,1.0,t +49657,,Indonesia,1.0,f +40878,,Anguilla,2.0,f +30234,,Saint Helena,1.0,t +12566,100%,Gambia,1.0,f +36071,,Sao Tome and Principe,1.0,f +46110,100%,Afghanistan,4.0,f +7190,,Greenland,1.0,f +39703,,,1.0,f +2656,,,1.0,t +2174,,,1.0,t +35717,89%,Brunei Darussalam,1.0,f +19,100%,Reunion,2.0,f +31428,,Micronesia,3.0,f +10293,100%,United Kingdom,1.0,t +7677,,Ecuador,3.0,t +18192,100%,,1.0,f +18727,,Gambia,2.0,t +21435,100%,Cape Verde,7.0,t +42206,,,1.0,t +39227,,Uzbekistan,2.0,f +26709,100%,Russian Federation,2.0,f +45343,100%,,1.0,t +31206,,,3.0,f +23660,,Mauritania,2.0,t +7419,,Malawi,1.0,t +19567,,,2.0,f +4480,,Barbados,2.0,t +38273,,Malta,1.0,t +25686,67%,Lebanon,1.0,t +36694,,,1.0,t +25161,100%,Anguilla,1.0,f +10228,,Russian Federation,1.0,t +3418,64%,,1.0,t +23327,100%,Uzbekistan,4.0,t +36234,97%,Fiji,12.0,t +23672,96%,,3.0,t +7137,100%,Russian Federation,1.0,f +28828,100%,Isle of Man,198.0,t +37783,,Bouvet Island (Bouvetoya),1.0,f +23019,,,1.0,f +25507,100%,Malta,3.0,f +48964,100%,Nicaragua,19.0,t +45705,100%,,1.0,t +44474,,,2.0,t +26184,,Uzbekistan,1.0,f +14425,,Gibraltar,2.0,t +2695,,Guernsey,1.0,t +13557,80%,,1.0,t +33948,100%,,2.0,f +40098,100%,Nicaragua,2.0,f +7231,100%,Uzbekistan,3.0,t +48932,100%,Monaco,5.0,t +9981,100%,Anguilla,1.0,f +14221,33%,,1.0,f +27127,100%,Marshall Islands,9.0,t +47484,100%,,1.0,f +49357,100%,Micronesia,2.0,f +3698,,Sao Tome and Principe,1.0,f +20683,,Faroe Islands,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +10470,100%,Tonga,1.0,t +1334,,Isle of Man,1.0,f +20789,98%,Sao Tome and Principe,13.0,f +29647,100%,Peru,1305.0,f +39571,67%,Togo,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +28206,,Cocos (Keeling) Islands,1.0,f +29647,100%,Peru,1305.0,f +30009,,Montserrat,1.0,t +29647,100%,Peru,1305.0,f +11700,50%,Brazil,1.0,t +10711,93%,Uganda,108.0,t +29880,100%,Tanzania,1.0,f +24408,,Micronesia,2.0,f +8157,100%,Russian Federation,1.0,t +17122,100%,Cape Verde,1.0,t +40023,100%,Uganda,6.0,t +38181,100%,Philippines,1.0,t +45835,100%,Peru,3.0,t +34044,,,1.0,t +1934,,Chad,1.0,t +13896,,,1.0,f +48336,100%,Afghanistan,1.0,f +37857,,Turkmenistan,2.0,t +3168,,Micronesia,2.0,t +47266,100%,,1.0,f +42906,100%,Tonga,2.0,t +11119,,Indonesia,1.0,t +46866,100%,Kiribati,3.0,t +12325,80%,Gambia,1.0,f +21431,100%,,2.0,t +31797,100%,,1.0,f +14033,100%,Cocos (Keeling) Islands,1.0,t +5463,100%,Peru,2.0,f +21320,,Malta,1.0,t +6773,90%,Tunisia,1.0,f +11215,,Togo,1.0,f +36426,,United Kingdom,1.0,t +26158,,,1.0,t +35223,100%,Guinea,4.0,t +35106,,Togo,1.0,f +29053,,,2.0,f +29053,,,2.0,f +37915,,Marshall Islands,1.0,f +49838,,Rwanda,1.0,f +31639,86%,Lithuania,1.0,t +6886,100%,,1.0,t +26444,100%,Brazil,1.0,f +21290,,Zimbabwe,1.0,f +8866,90%,Tonga,2.0,t +43585,,,1.0,f +32605,100%,Cape Verde,1.0,t +1387,,Philippines,4.0,f +50059,100%,Barbados,7.0,f +20629,100%,,4.0,f +34131,,Bosnia and Herzegovina,1.0,f +15899,100%,Slovenia,2.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +11255,93%,Suriname,41.0,f +20334,99%,Niger,171.0,t +1488,100%,,1.0,f +47521,,Isle of Man,1.0,t +2998,70%,France,4.0,t +45432,100%,Togo,2.0,f +3256,100%,Estonia,2.0,f +36318,96%,United Kingdom,3.0,t +16211,,,1.0,f +13029,,,1.0,f +49110,0%,,1.0,f +37844,75%,,1.0,t +9830,100%,Barbados,3.0,t +45632,,Faroe Islands,1.0,f +44323,90%,Ecuador,3.0,t +23298,100%,Chile,2.0,t +29158,67%,,2.0,f +6154,86%,Sao Tome and Principe,1.0,f +13174,,,1.0,f +25643,,Mauritania,1.0,t +18992,95%,,3.0,f +49954,100%,,1.0,f +34951,100%,Uzbekistan,1.0,f +42013,,Guinea,16.0,t +17612,100%,Peru,2.0,t +16634,,,1.0,f +42013,,Guinea,16.0,t +17612,100%,Peru,2.0,t +42013,,Guinea,16.0,t +19852,86%,Guinea,1.0,t +33823,78%,France,17.0,t +41529,,,1.0,t +21741,90%,Marshall Islands,2.0,t +46500,99%,Pakistan,73.0,f +48192,,Chad,1.0,f +17750,,United Kingdom,2.0,t +46781,100%,Tonga,2.0,t +18995,,,1.0,f +36635,100%,Indonesia,10.0,f +31322,100%,,1.0,f +36635,100%,Indonesia,10.0,f +47279,,Mauritania,1.0,t +11839,,Uganda,11.0,f +11839,,Uganda,11.0,f +7219,,,1.0,t +20559,100%,,1.0,t +28884,100%,Micronesia,2.0,t +15171,,Kenya,1.0,t +41971,100%,Rwanda,1.0,t +3391,100%,Iran,58.0,t +39344,100%,,2.0,t +3391,100%,Iran,58.0,t +12715,100%,Estonia,29.0,f +42013,,Guinea,16.0,t +23034,99%,Monaco,54.0,f +22303,,Isle of Man,1.0,t +12715,100%,Estonia,29.0,f +30435,99%,Cape Verde,41.0,f +31513,90%,Monaco,1.0,t +42919,,Sao Tome and Principe,1.0,f +8013,,Russian Federation,1.0,f +16045,100%,Anguilla,1.0,t +46500,99%,Pakistan,73.0,f +44951,,Micronesia,2.0,t +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +21796,100%,Jersey,1.0,t +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +15455,,Uzbekistan,1.0,t +14861,,,1.0,t +32166,100%,Bosnia and Herzegovina,4.0,t +6684,,Sao Tome and Principe,1.0,f +45737,,Tonga,29.0,t +35339,,Canada,1.0,f +41749,,Cocos (Keeling) Islands,1.0,t +32376,100%,French Guiana,1.0,t +25679,100%,Barbados,3.0,t +3822,,Uzbekistan,5.0,f +3822,,Uzbekistan,5.0,f +28903,,Anguilla,1.0,f +5051,100%,El Salvador,12.0,f +13346,100%,,2.0,t +1899,,,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +22889,,,1.0,f +37207,80%,Tonga,1.0,f +25391,,China,1.0,f +27467,100%,Monaco,1.0,t +31804,100%,,2.0,f +189,,,3.0,f +26616,100%,Isle of Man,10.0,f +8941,100%,France,1.0,f +37043,100%,Pakistan,11.0,f +39818,,,1.0,f +23612,100%,Tonga,1.0,f +22794,50%,Cape Verde,36.0,t +6273,100%,Lithuania,5.0,t +17525,,Micronesia,2.0,t +45737,,Tonga,29.0,t +43421,,Kiribati,2.0,t +35716,100%,Pakistan,4.0,f +6450,,,1.0,f +30323,100%,Tunisia,1.0,t +19820,,,1.0,t +45435,,,1.0,f +27572,67%,Niue,1.0,f +26911,100%,,1.0,t +29376,,Venezuela,1.0,f +32432,,Turks and Caicos Islands,4.0,f +8086,100%,France,1.0,t +18541,,United Kingdom,1.0,f +37338,,,1.0,t +30771,,,1.0,t +42516,,,2.0,t +37410,,Marshall Islands,2.0,f +37410,,Marshall Islands,2.0,f +46907,,Chile,1.0,t +6276,100%,Zimbabwe,5.0,f +43896,,Lebanon,1.0,t +20948,,Denmark,1.0,t +11219,100%,,1.0,f +23256,100%,,6.0,f +9281,,,2.0,t +43534,,,1.0,f +16238,,,1.0,t +11969,,France,1.0,f +36893,100%,Libyan Arab Jamahiriya,1.0,t +15905,100%,,2.0,f +37705,100%,Faroe Islands,2.0,t +1091,100%,Malta,1.0,f +12969,,Tonga,1.0,t +4053,,Ecuador,6.0,f +29999,100%,Rwanda,3.0,t +26264,100%,,1.0,t +46297,100%,Sao Tome and Principe,12.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2654,100%,Afghanistan,2.0,t +2842,60%,Malawi,1.0,f +35219,97%,Tonga,4.0,f +17983,,Micronesia,1.0,f +40691,100%,Guernsey,2.0,t +17417,,Denmark,11.0,f +21927,100%,Brazil,1.0,f +35448,100%,,1.0,t +36299,100%,Rwanda,13.0,t +2888,,,1.0,f +33220,,United Kingdom,1.0,t +32370,100%,Costa Rica,3.0,t +22707,,Bosnia and Herzegovina,1.0,f +9423,,Uzbekistan,1.0,f +35374,100%,Denmark,2.0,f +30380,,Tanzania,1.0,f +31899,100%,Bouvet Island (Bouvetoya),6.0,f +41374,,,1.0,f +19431,,Uzbekistan,1.0,t +12227,100%,,2.0,t +39889,,,1.0,f +39044,,Tonga,1.0,t +3531,100%,,1.0,f +34364,,United Kingdom,1.0,f +41631,,Bosnia and Herzegovina,1.0,t +28013,,,1.0,f +3912,,Anguilla,1.0,t +37380,,Tonga,1.0,f +41396,100%,,1.0,f +31936,100%,Vanuatu,2.0,f +47277,,,1.0,f +47483,90%,Jersey,1.0,t +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +28455,,Chile,1.0,f +29646,100%,Monaco,2.0,t +39344,100%,,2.0,t +199,,Niger,3.0,t +46223,70%,Maldives,1.0,t +29647,100%,Peru,1305.0,f +18264,,France,1.0,t +34963,,,1.0,f +29647,100%,Peru,1305.0,f +31701,60%,Bouvet Island (Bouvetoya),2.0,f +29647,100%,Peru,1305.0,f +32239,,China,1.0,f +24759,90%,Gambia,2.0,t +574,80%,Mauritania,1.0,t +5873,100%,Marshall Islands,2.0,t +22721,100%,Ecuador,109.0,f +133,0%,,1.0,f +29647,100%,Peru,1305.0,f +23406,,,1.0,t +22387,100%,Gibraltar,1.0,t +49365,70%,Rwanda,2.0,t +45285,,,1.0,f +4901,,Tanzania,1.0,f +34693,,Micronesia,1.0,f +16044,,Maldives,1.0,t +17301,,,1.0,f +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +24026,98%,Cape Verde,69.0,t +45369,,Christmas Island,1.0,f +13534,,Christmas Island,2.0,f +35681,,,1.0,f +1951,90%,Marshall Islands,6.0,t +42157,,Rwanda,1.0,t +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +1011,97%,Russian Federation,8.0,t +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +12644,,Sao Tome and Principe,1.0,f +9257,0%,,1.0,t +22721,100%,Ecuador,109.0,f +12271,100%,Brazil,3.0,t +22721,100%,Ecuador,109.0,f +2723,33%,,2.0,f +8904,,,1.0,f +22721,100%,Ecuador,109.0,f +7293,,Barbados,3.0,f +34731,100%,,1.0,t +45222,100%,Niger,2.0,t +22721,100%,Ecuador,109.0,f +24026,98%,Cape Verde,69.0,t +22721,100%,Ecuador,109.0,f +854,100%,Venezuela,4.0,t +47594,100%,Kenya,17.0,t +22721,100%,Ecuador,109.0,f +11737,100%,Venezuela,1.0,t +37043,100%,Pakistan,11.0,f +10136,100%,,1.0,f +13624,93%,Uzbekistan,2.0,t +33814,,Faroe Islands,9.0,f +24286,100%,,1.0,f +14185,,Micronesia,1.0,f +29705,100%,Denmark,1.0,f +45721,100%,Jersey,1.0,t +4115,100%,,2.0,f +49405,,,1.0,f +11029,,,1.0,t +50004,100%,,1.0,t +29647,100%,Peru,1305.0,f +18624,,,1.0,t +11290,100%,Reunion,12.0,f +26045,100%,Kiribati,4.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +18077,100%,Sao Tome and Principe,139.0,f +3166,100%,Turkmenistan,1.0,f +29647,100%,Peru,1305.0,f +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +22721,100%,Ecuador,109.0,f +25823,,,1.0,t +36252,,Turkmenistan,1.0,f +15703,,,4.0,f +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +9363,95%,Ukraine,50.0,f +29647,100%,Peru,1305.0,f +20297,80%,Montserrat,17.0,f +47594,100%,Kenya,17.0,t +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +22721,100%,Ecuador,109.0,f +32529,,Bouvet Island (Bouvetoya),2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44594,,Rwanda,1.0,f +40878,,Anguilla,2.0,f +29647,100%,Peru,1305.0,f +31899,100%,Bouvet Island (Bouvetoya),6.0,f +3864,,,1.0,t +22721,100%,Ecuador,109.0,f +13567,90%,Marshall Islands,1.0,t +44369,,French Guiana,1.0,t +7778,100%,Mauritania,7.0,t +38986,,Estonia,2.0,t +24157,,Guinea,4.0,f +47441,100%,,1.0,f +41525,100%,,1.0,t +47032,,Tanzania,1.0,t +24590,,Venezuela,2.0,f +8913,100%,Guyana,2.0,t +20093,50%,Guernsey,1.0,t +24682,,Afghanistan,1.0,t +45704,100%,,1.0,t +47154,,,1.0,f +24601,100%,Isle of Man,1.0,f +9248,,French Guiana,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +29601,,Faroe Islands,6.0,t +9489,,Niue,1.0,t +42396,91%,Indonesia,1.0,f +31398,,,1.0,f +1571,,Tonga,1.0,t +9467,100%,,2.0,f +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +37735,100%,Uganda,13.0,t +40228,100%,Niger,1.0,t +32075,100%,Indonesia,2.0,f +48610,100%,Niue,3.0,f +16092,,Guinea,1.0,t +43428,73%,Faroe Islands,9.0,t +3822,,Uzbekistan,5.0,f +13327,100%,Ghana,1.0,t +32467,100%,Lithuania,3.0,t +33193,100%,Brazil,10.0,f +27780,,Switzerland,1.0,f +39948,,,1.0,t +25950,100%,Malta,1.0,t +40361,100%,Sao Tome and Principe,4.0,t +2949,100%,French Guiana,1.0,t +45432,100%,Togo,2.0,f +4598,,Nicaragua,1.0,f +45865,50%,,3.0,f +17616,,,1.0,t +34498,,Guinea,1.0,f +35564,,United Kingdom,1.0,t +14401,,Jersey,2.0,t +42470,100%,Malawi,2.0,f +6873,,Maldives,1.0,f +47733,0%,,1.0,f +24089,,Tonga,1.0,t +20664,100%,Nauru,4.0,f +5883,,Marshall Islands,1.0,f +45278,,,1.0,t +6482,100%,Tonga,3.0,f +31694,100%,Indonesia,1.0,t +5015,100%,Pakistan,2.0,f +8348,,,1.0,t +27326,100%,El Salvador,1.0,f +16752,100%,Malawi,2.0,t +10476,,Costa Rica,1.0,t +27860,,Isle of Man,1.0,t +35675,,,1.0,t +16686,100%,Turkmenistan,1.0,f +38316,100%,Cuba,1.0,t +22057,,Canada,1.0,f +13232,,,1.0,t +928,,,1.0,f +22335,100%,Russian Federation,3.0,t +13852,,Niger,1.0,f +5621,100%,Brazil,1.0,f +45210,,Zimbabwe,1.0,t +22908,100%,Micronesia,6.0,t +35502,,,1.0,f +27767,,Niue,1.0,f +39506,100%,Nauru,2.0,t +13696,,Cuba,1.0,f +33936,,Guinea,1.0,f +48726,,Brazil,1.0,f +34306,91%,Wallis and Futuna,30.0,t +722,100%,,1.0,t +23718,,Niger,1.0,t +23034,99%,Monaco,54.0,f +20501,,Uganda,1.0,f +35620,90%,Micronesia,3.0,f +48603,100%,Guinea,40.0,f +22998,,Uganda,1.0,f +22509,100%,Greenland,1.0,f +19401,100%,France,5.0,f +36442,,Svalbard & Jan Mayen Islands,1.0,t +36575,,Lebanon,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +49276,,Tanzania,1.0,t +44719,,United Kingdom,1.0,f +607,100%,France,1.0,f +49934,100%,Liberia,9.0,t +22721,100%,Ecuador,109.0,f +9173,100%,Cuba,1.0,t +22721,100%,Ecuador,109.0,f +1826,,Jersey,1.0,t +22696,100%,Gambia,2.0,f +10032,,,1.0,f +39997,,,1.0,f +15329,100%,Uzbekistan,1.0,t +688,,Nicaragua,1.0,f +10240,,,1.0,f +40985,100%,Guinea,15.0,t +8786,,Netherlands,2.0,f +40985,100%,Guinea,15.0,t +40985,100%,Guinea,15.0,t +40985,100%,Guinea,15.0,t +40985,100%,Guinea,15.0,t +19436,,Nauru,2.0,f +19436,,Nauru,2.0,f +8126,56%,,2.0,f +4349,,Lebanon,1.0,f +33066,100%,Canada,1.0,t +33685,100%,Tonga,1.0,f +14729,,Uruguay,1.0,f +32305,,Turks and Caicos Islands,1.0,f +34085,89%,Cocos (Keeling) Islands,3.0,t +33574,60%,Brazil,4.0,t +40421,96%,Jersey,29.0,t +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +41025,100%,,1.0,f +15,,Peru,1.0,t +30444,,Montserrat,1.0,f +32346,100%,United Kingdom,3.0,f +9513,,El Salvador,1.0,f +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +810,100%,Brazil,2.0,f +11255,93%,Suriname,41.0,f +44349,100%,Marshall Islands,1.0,f +7241,,Kiribati,1.0,f +49218,100%,Turkmenistan,1.0,t +48580,100%,Netherlands,1.0,f +4267,100%,Senegal,22.0,t +21891,,,2.0,t +8726,100%,Malta,1.0,t +49146,90%,Tunisia,2.0,t +46777,,,1.0,f +33309,,Zimbabwe,2.0,t +30028,,,1.0,f +12954,,Isle of Man,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +46245,100%,Nicaragua,2.0,f +13309,100%,Brazil,1.0,f +18484,100%,Gambia,108.0,f +4815,,Rwanda,1.0,t +48886,100%,Netherlands,4.0,t +17742,100%,French Polynesia,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +2157,,,1.0,t +1308,,Sao Tome and Principe,1.0,t +19548,,Guinea,1.0,f +15194,,Gibraltar,1.0,f +691,,,1.0,f +33588,100%,Marshall Islands,1.0,t +577,100%,Philippines,1.0,f +39366,100%,Ghana,3.0,t +15365,100%,Faroe Islands,3.0,t +18545,94%,Isle of Man,8.0,t +12517,,Lebanon,3.0,t +8328,,Isle of Man,1.0,f +9145,,Niue,2.0,f +32881,,Uzbekistan,2.0,t +31609,,,1.0,f +5655,80%,Zimbabwe,3.0,t +21083,100%,Spain,3.0,t +24401,0%,Niue,3.0,f +45720,,,1.0,f +34738,,Guinea,1.0,f +35632,94%,Tonga,2.0,f +35269,,,1.0,f +22082,100%,Isle of Man,1.0,t +13391,,China,1.0,f +43033,,Tonga,1.0,t +14113,,French Polynesia,4.0,f +37043,100%,Pakistan,11.0,f +26750,100%,Kiribati,1.0,t +8332,,Uzbekistan,1.0,t +9416,100%,Micronesia,1.0,t +30289,,,1.0,t +35489,,,1.0,t +37076,,Bouvet Island (Bouvetoya),1.0,f +47534,100%,Ecuador,1.0,f +47932,,Guernsey,1.0,f +16486,,Guinea,1.0,f +29275,,Micronesia,1.0,f +14620,,,3.0,t +32048,,,1.0,t +10525,,El Salvador,1.0,t +27949,,Marshall Islands,1.0,f +45231,,,1.0,f +36330,,Malawi,1.0,f +1675,,,1.0,f +32519,0%,France,1.0,t +4052,,Maldives,1.0,t +38662,100%,,1.0,t +48351,,Malta,3.0,f +4418,,Niue,1.0,t +14113,,French Polynesia,4.0,f +14113,,French Polynesia,4.0,f +24297,,Philippines,1.0,t +14113,,French Polynesia,4.0,f +49142,,,1.0,f +39604,,Maldives,1.0,t +38080,,,1.0,f +30749,,Palestinian Territory,2.0,t +22721,100%,Ecuador,109.0,f +46691,90%,Uzbekistan,38.0,f +763,,,1.0,f +38903,25%,,1.0,f +22721,100%,Ecuador,109.0,f +36100,100%,Rwanda,17.0,t +13509,97%,Puerto Rico,6.0,f +33126,,,1.0,f +22721,100%,Ecuador,109.0,f +48334,100%,Guinea,12.0,f +13509,97%,Puerto Rico,6.0,f +48334,100%,Guinea,12.0,f +41519,,Togo,1.0,f +31448,100%,Ecuador,1.0,f +22721,100%,Ecuador,109.0,f +19128,100%,Uzbekistan,12.0,t +33622,,Micronesia,1.0,f +22721,100%,Ecuador,109.0,f +6500,,Reunion,2.0,f +6500,,Reunion,2.0,f +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +29512,100%,Guinea,1.0,t +22721,100%,Ecuador,109.0,f +35486,100%,French Guiana,1.0,t +22721,100%,Ecuador,109.0,f +42619,,Zimbabwe,3.0,t +46279,,Faroe Islands,1.0,t +22721,100%,Ecuador,109.0,f +46252,,Niue,2.0,t +17072,50%,Papua New Guinea,1.0,t +2568,50%,Gibraltar,1.0,f +10355,,,1.0,f +12989,100%,Gambia,2.0,f +19270,100%,Denmark,1.0,t +50033,,,1.0,f +48932,100%,Monaco,5.0,t +22914,100%,Jersey,6.0,t +47495,100%,Gibraltar,2.0,t +4471,67%,,2.0,f +29926,67%,Zimbabwe,7.0,t +21646,100%,Togo,2.0,f +26452,100%,Micronesia,2.0,f +16865,,Micronesia,2.0,t +16815,,,3.0,f +17452,100%,Marshall Islands,2.0,f +3919,,Zimbabwe,1.0,t +33599,,,1.0,t +1367,100%,,4.0,t +32853,,French Guiana,2.0,t +10098,100%,,2.0,t +10502,93%,Indonesia,9.0,f +5718,,Yemen,4.0,t +41169,,Chad,2.0,t +9363,95%,Ukraine,50.0,f +10052,100%,Niue,1.0,t +20447,,Maldives,1.0,t +49059,100%,Gambia,16.0,t +31597,80%,,2.0,t +9487,100%,Denmark,1.0,t +33864,,,1.0,t +35509,,,1.0,f +17175,100%,Malta,8.0,t +48286,,Rwanda,1.0,f +2636,,Sao Tome and Principe,1.0,f +27135,,Marshall Islands,1.0,t +12535,,,1.0,f +12592,,Denmark,1.0,f +40361,100%,Sao Tome and Principe,4.0,t +32788,100%,,1.0,t +30895,,Portugal,2.0,t +33854,86%,,1.0,t +3860,100%,Uzbekistan,1.0,t +35767,,Faroe Islands,1.0,t +29744,100%,Micronesia,1.0,f +1787,,Isle of Man,1.0,f +40758,,Sao Tome and Principe,1.0,f +26615,100%,Saint Helena,1.0,f +28487,,,1.0,f +42033,100%,Togo,1.0,f +35547,78%,Nicaragua,2.0,f +49830,,,1.0,f +29978,89%,Uzbekistan,26.0,f +40515,100%,Gibraltar,1.0,f +33505,,Marshall Islands,1.0,f +29978,89%,Uzbekistan,26.0,f +40335,100%,Costa Rica,1.0,f +29978,89%,Uzbekistan,26.0,f +44642,,,1.0,t +29978,89%,Uzbekistan,26.0,f +16618,,Fiji,1.0,f +356,99%,Wallis and Futuna,32.0,t +24009,100%,Australia,1.0,f +21634,100%,Saint Helena,1.0,t +27907,100%,Puerto Rico,21.0,f +25856,,Vanuatu,4.0,t +4482,,Afghanistan,1.0,f +13448,,,1.0,t +3390,100%,,1.0,f +969,,Pakistan,3.0,f +31672,75%,Maldives,6.0,f +38385,,Peru,1.0,t +32014,100%,,2.0,f +47287,,Anguilla,1.0,f +21848,100%,,1.0,f +25914,100%,France,2.0,t +8601,,Angola,16.0,f +4568,,,1.0,f +11567,100%,Niger,31.0,t +14477,100%,Reunion,26.0,t +29584,,El Salvador,1.0,t +6718,100%,Estonia,2.0,f +20912,100%,Turkmenistan,1.0,t +23761,,Somalia,5.0,t +26431,,,1.0,f +40423,100%,Russian Federation,1.0,f +15189,79%,China,21.0,f +29847,100%,Russian Federation,2.0,t +35442,,Russian Federation,14.0,f +32450,,Russian Federation,1.0,t +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +30610,100%,Kiribati,1.0,t +15605,70%,El Salvador,1.0,f +2768,100%,Christmas Island,2.0,t +9131,100%,Gambia,5.0,f +17624,,,1.0,f +10909,100%,Turks and Caicos Islands,3.0,t +14477,100%,Reunion,26.0,t +36044,,Bouvet Island (Bouvetoya),1.0,f +2768,100%,Christmas Island,2.0,t +31118,100%,Turks and Caicos Islands,1.0,t +21750,,,1.0,f +26741,,Philippines,1.0,t +1633,,,1.0,t +338,100%,,1.0,t +7920,100%,Zimbabwe,3.0,t +18382,,France,1.0,f +44216,,United Kingdom,1.0,t +31957,,Russian Federation,1.0,t +34979,100%,Anguilla,4.0,f +2857,100%,Montserrat,4.0,f +49768,80%,Montserrat,7.0,t +13906,,,1.0,f +34308,,Costa Rica,1.0,t +19211,100%,,1.0,t +44166,100%,,1.0,t +23590,,Venezuela,2.0,f +14477,100%,Reunion,26.0,t +47264,,,1.0,t +16225,100%,Micronesia,2.0,t +29647,100%,Peru,1305.0,f +44157,,Rwanda,6.0,t +25278,100%,Gibraltar,2.0,t +22721,100%,Ecuador,109.0,f +14477,100%,Reunion,26.0,t +19745,67%,,1.0,t +14477,100%,Reunion,26.0,t +18727,,Gambia,2.0,t +8296,,Malawi,1.0,f +29647,100%,Peru,1305.0,f +17869,100%,Reunion,5.0,t +8684,,,1.0,f +49029,,Rwanda,1.0,t +25512,,Bosnia and Herzegovina,1.0,f +22721,100%,Ecuador,109.0,f +49269,,,1.0,t +38365,,,1.0,f +14384,,,1.0,t +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +22721,100%,Ecuador,109.0,f +10527,,,1.0,t +12868,100%,Tonga,1.0,f +42392,100%,Greenland,4.0,f +21974,,Tanzania,1.0,f +13291,,France,1.0,t +27798,80%,,1.0,t +10933,0%,,1.0,f +5276,,Kiribati,1.0,f +34573,,,1.0,f +19108,100%,,1.0,t +49580,,Holy See (Vatican City State),1.0,t +36612,100%,Guinea,1.0,t +42853,67%,,1.0,f +7973,,Niue,1.0,t +25338,0%,,1.0,f +36999,100%,,2.0,f +28000,,,1.0,t +38110,100%,,1.0,f +390,100%,Niue,1.0,t +46347,,Somalia,6.0,t +13367,100%,Marshall Islands,3.0,t +29914,,Guinea,3.0,f +39886,100%,Malta,2.0,f +22721,100%,Ecuador,109.0,f +33892,,Niue,1.0,f +14177,100%,,1.0,t +22721,100%,Ecuador,109.0,f +15013,,,1.0,t +30678,100%,Tanzania,2.0,t +20518,100%,Togo,4.0,t +10519,100%,Marshall Islands,1.0,f +11155,70%,,1.0,f +22721,100%,Ecuador,109.0,f +27864,100%,,1.0,f +22721,100%,Ecuador,109.0,f +10711,93%,Uganda,108.0,t +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2363,,Barbados,3.0,t +38004,0%,Palestinian Territory,2.0,f +12464,,Chile,5.0,t +47469,,Anguilla,1.0,f +3866,100%,Indonesia,8.0,t +3866,100%,Indonesia,8.0,t +4359,100%,Nauru,3.0,t +39150,100%,,1.0,t +48777,80%,Isle of Man,1.0,t +8366,100%,,1.0,f +28220,,Estonia,1.0,t +43697,,Niue,1.0,t +29539,,Brazil,1.0,f +16143,,Indonesia,1.0,f +10711,93%,Uganda,108.0,t +42587,100%,Vanuatu,3.0,f +23746,,Niue,1.0,t +34769,80%,Pakistan,3.0,t +43920,,Christmas Island,1.0,f +31204,,,1.0,f +19958,100%,Congo,40.0,t +10711,93%,Uganda,108.0,t +5682,100%,Guinea,2.0,t +10711,93%,Uganda,108.0,t +26386,100%,Fiji,25.0,t +22721,100%,Ecuador,109.0,f +21261,100%,Isle of Man,3.0,t +14477,100%,Reunion,26.0,t +9197,,,1.0,t +43556,,Moldova,1.0,f +27993,,Maldives,1.0,t +31340,100%,El Salvador,1.0,t +48442,100%,Nicaragua,5.0,t +29647,100%,Peru,1305.0,f +1205,,Uganda,1.0,f +46691,90%,Uzbekistan,38.0,f +44007,100%,,1.0,t +17929,100%,,1.0,t +39109,77%,Ukraine,24.0,t +22721,100%,Ecuador,109.0,f +11090,,Russian Federation,1.0,t +22721,100%,Ecuador,109.0,f +31612,100%,,3.0,t +23160,89%,Korea,1.0,t +34402,79%,Reunion,28.0,f +10711,93%,Uganda,108.0,t +22721,100%,Ecuador,109.0,f +46691,90%,Uzbekistan,38.0,f +22721,100%,Ecuador,109.0,f +40421,96%,Jersey,29.0,t +3213,100%,Mexico,1.0,f +29647,100%,Peru,1305.0,f +15426,100%,,1.0,f +22721,100%,Ecuador,109.0,f +29647,100%,Peru,1305.0,f +14477,100%,Reunion,26.0,t +22721,100%,Ecuador,109.0,f +6753,100%,French Guiana,1.0,f +22721,100%,Ecuador,109.0,f +25868,100%,Papua New Guinea,1.0,t +14477,100%,Reunion,26.0,t +22721,100%,Ecuador,109.0,f +17334,,Ecuador,2.0,t +29981,,,1.0,f +39177,,,1.0,t +20808,90%,Gambia,3.0,t +20808,90%,Gambia,3.0,t +2027,,Sao Tome and Principe,1.0,f +29767,,,1.0,t +33198,100%,Mauritania,12.0,f +49936,75%,,1.0,f +12196,,,1.0,f +45886,100%,El Salvador,3.0,f +2954,100%,Denmark,5.0,t +46561,100%,,1.0,t +20038,,,1.0,f +35754,0%,Lebanon,1.0,t +16558,,Philippines,1.0,t +19811,90%,Nicaragua,21.0,t +14563,100%,Cocos (Keeling) Islands,3.0,t +11402,,Tonga,1.0,t +40521,0%,Isle of Man,1.0,f +15725,100%,Uzbekistan,1.0,t +44535,100%,,1.0,t +21663,,Niue,1.0,t +3219,,Lebanon,1.0,f +30702,100%,Uzbekistan,1.0,t +15787,100%,French Guiana,1.0,t +2954,100%,Denmark,5.0,t +21599,,Brazil,1.0,t +16664,,,1.0,t +39031,100%,Uzbekistan,1.0,t +7966,,,1.0,f +21226,100%,Venezuela,1.0,f +2494,,,1.0,f +35990,100%,,1.0,t +13367,100%,Marshall Islands,3.0,t +19620,,,1.0,t +717,,Monaco,1.0,t +35567,100%,Niue,1.0,f +2201,,United Kingdom,1.0,f +9638,0%,Tonga,2.0,f +47585,100%,Jersey,1.0,t +36014,,Nauru,1.0,f +9638,0%,Tonga,2.0,f +30639,,Djibouti,1.0,f +10214,50%,,1.0,f +48237,100%,Netherlands Antilles,1.0,t +16146,100%,,1.0,f +29293,100%,Russian Federation,1.0,t +3170,,Brunei Darussalam,1.0,f +39103,,,1.0,t +7673,100%,Denmark,1.0,f +40661,,Sao Tome and Principe,2.0,t +3357,100%,Uganda,2.0,f +22980,,Bosnia and Herzegovina,1.0,f +12177,100%,France,6.0,t +9885,100%,Niue,1.0,f +21624,,Holy See (Vatican City State),1.0,f +44052,100%,Denmark,4.0,f +13744,,,1.0,t +37026,70%,,2.0,t +23314,,Mauritania,2.0,t +8151,,Lebanon,1.0,t +19186,,El Salvador,1.0,t +12715,100%,Estonia,29.0,f +6275,,,2.0,f +30829,,,1.0,f +11408,100%,,1.0,t +22721,100%,Ecuador,109.0,f +48965,100%,,1.0,f +17437,,Niue,1.0,t +12526,,Niue,1.0,f +22721,100%,Ecuador,109.0,f +7387,,French Guiana,2.0,t +37487,,,1.0,f +48507,100%,,2.0,t +25936,100%,Spain,1.0,f +14514,,China,80.0,t +32604,,,1.0,f +19946,100%,Vietnam,1.0,t +24361,100%,,2.0,f +22721,100%,Ecuador,109.0,f +10711,93%,Uganda,108.0,t +30433,,,4.0,t +39143,89%,,33.0,f +10711,93%,Uganda,108.0,t +39386,,,2.0,f +9022,,Indonesia,1.0,t +5899,,,1.0,t +26629,,Mauritania,1.0,f +30992,,Turkmenistan,1.0,f +21435,100%,Cape Verde,7.0,t +46335,100%,Nicaragua,1.0,t +41744,,,1.0,f +21435,100%,Cape Verde,7.0,t +8044,100%,Russian Federation,1.0,t +2556,100%,,1.0,f +12696,100%,Finland,1.0,f +11157,100%,,2.0,t +26198,,Brazil,1.0,t +5990,,,1.0,f +46649,,Guinea,3.0,t +21641,100%,Russian Federation,1.0,f +38284,100%,Puerto Rico,4.0,t +34094,100%,Monaco,1.0,t +39248,97%,Cuba,5.0,f +37852,100%,,2.0,f +9028,,Russian Federation,1.0,f +19969,100%,Puerto Rico,1.0,f +15200,100%,Gibraltar,1.0,t +24623,,Lebanon,2.0,f +27318,,Rwanda,2.0,f +49202,,El Salvador,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +47730,100%,Saint Helena,1.0,f +49036,,Kenya,4.0,t +26646,,,1.0,f +39301,100%,,1.0,f +6976,,Uzbekistan,2.0,f +39870,,Slovakia (Slovak Republic),21.0,t +32318,50%,Canada,3.0,f +18077,100%,Sao Tome and Principe,139.0,f +42899,100%,,1.0,f +41717,100%,Russian Federation,1.0,t +22721,100%,Ecuador,109.0,f +5281,,Anguilla,1.0,t +3357,100%,Uganda,2.0,f +45419,,,1.0,f +33843,100%,Bosnia and Herzegovina,1.0,t +11395,50%,Nauru,1.0,f +12715,100%,Estonia,29.0,f +36967,100%,Barbados,7.0,t +22721,100%,Ecuador,109.0,f +39943,,,1.0,t +43014,80%,Anguilla,2.0,t +14581,,Lithuania,1.0,f +19736,,Sao Tome and Principe,1.0,f +10581,75%,,1.0,f +24277,,,1.0,f +5526,100%,Isle of Man,3.0,t +21084,100%,,3.0,t +17802,,,1.0,t +20313,100%,Faroe Islands,3.0,t +17153,,Croatia,1.0,t +4629,,Niue,1.0,f +34348,100%,,1.0,t +47409,100%,Niue,3.0,t +884,100%,Jersey,1.0,t +14593,,Brazil,1.0,f +23823,100%,China,3.0,t +17886,70%,Nicaragua,2.0,f +9910,,Papua New Guinea,1.0,f +26711,,Kenya,1.0,f +43152,100%,Nicaragua,82.0,t +29647,100%,Peru,1305.0,f +16520,100%,Marshall Islands,22.0,f +2192,63%,Uzbekistan,1.0,f +14620,,,3.0,t +40646,100%,Turks and Caicos Islands,2.0,t +48227,100%,Isle of Man,1.0,f +28890,,Russian Federation,1.0,f +24991,100%,Indonesia,14.0,f +4975,0%,Togo,1.0,f +1057,100%,,1.0,t +16752,100%,Malawi,2.0,t +18077,100%,Sao Tome and Principe,139.0,f +24623,,Lebanon,2.0,f +447,,Uzbekistan,1.0,f +18989,,China,4.0,f +22584,,,1.0,f +41847,100%,El Salvador,3.0,t +16633,,Kiribati,1.0,f +14594,100%,Isle of Man,1.0,f +30844,,Gibraltar,1.0,f +43840,100%,Niue,4.0,t +19500,100%,Tonga,1.0,t +14041,100%,Isle of Man,1.0,f +33198,100%,Mauritania,12.0,f +3560,,,2.0,t +24402,,Estonia,1.0,f +27907,100%,Puerto Rico,21.0,f +22407,100%,Uzbekistan,1.0,t +6217,100%,,1.0,t +34839,,Jersey,1.0,t +24026,98%,Cape Verde,69.0,t +6482,100%,Tonga,3.0,f +1731,,,1.0,t +20988,,,1.0,f +148,0%,Bosnia and Herzegovina,1.0,t +23463,100%,San Marino,2.0,f +48836,,,1.0,f +17740,100%,,2.0,t +43102,100%,Isle of Man,1.0,f +19217,98%,Marshall Islands,46.0,f +23345,,,1.0,t +23555,,,1.0,f +48973,100%,Tonga,6.0,f +43965,,Maldives,1.0,t +16942,100%,Uganda,2.0,f +15051,100%,,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +15932,100%,Isle of Man,3.0,t +30717,,,1.0,t +41878,91%,Maldives,47.0,f +6976,,Uzbekistan,2.0,f +49217,100%,Isle of Man,2.0,t +25291,58%,Gibraltar,3.0,t +46961,,,1.0,t +17112,,Chile,2.0,t +10963,,Cocos (Keeling) Islands,1.0,t +48168,100%,,1.0,f +31764,0%,Nauru,1.0,f +44296,,Pakistan,1.0,t +10056,,,1.0,f +9379,100%,El Salvador,1.0,f +12451,100%,Nauru,4.0,t +43819,100%,Grenada,2.0,t +16259,,Brazil,1.0,t +49036,,Kenya,4.0,t +11934,,Papua New Guinea,1.0,f +19871,,China,1.0,t +40217,100%,,1.0,t +5320,,,1.0,f +39545,100%,Niue,1.0,f +6789,100%,Gambia,2.0,t +41045,,,1.0,t +8280,90%,Uzbekistan,3.0,f +41878,91%,Maldives,47.0,f +3592,,,1.0,t +5844,,Chile,1.0,f +38001,,,1.0,f +39294,,Russian Federation,1.0,t +41532,100%,Nicaragua,1.0,t +14483,,Barbados,1.0,t +31672,75%,Maldives,6.0,f +12508,70%,Holy See (Vatican City State),3.0,t +5417,,Lebanon,1.0,t +16411,,Switzerland,1.0,t +45827,100%,Sao Tome and Principe,2.0,t +11968,100%,,3.0,f +19801,100%,,1.0,t +28240,,Uzbekistan,1.0,f +3749,90%,,1.0,t +48709,100%,Andorra,2.0,t +2084,,Faroe Islands,1.0,t +14671,,Sao Tome and Principe,1.0,f +11715,,Costa Rica,5.0,f +11908,100%,Sao Tome and Principe,5.0,f +5405,,,1.0,t +45930,33%,,1.0,f +35262,,Lebanon,1.0,t +5803,,,1.0,t +13312,,,1.0,f +31409,100%,,1.0,f +23488,100%,Uzbekistan,1.0,t +860,,,1.0,t +12211,,Tanzania,1.0,t +9156,,Cook Islands,1.0,f +35915,,Rwanda,1.0,f +9271,,Faroe Islands,2.0,t +9248,,French Guiana,2.0,f +20907,100%,Chile,1.0,t +9184,,,1.0,t +43424,,Russian Federation,2.0,f +34220,100%,Estonia,1.0,t +37694,,Micronesia,1.0,t +4428,100%,Isle of Man,1.0,t +14380,100%,Niue,1.0,f +36049,,Isle of Man,3.0,f +891,100%,Chile,2.0,t +24999,100%,France,6.0,f +38042,,Uzbekistan,2.0,t +20989,100%,Marshall Islands,8.0,f +29668,100%,Nicaragua,4.0,t +4143,100%,Canada,1.0,t +20989,100%,Marshall Islands,8.0,f +7276,,Turkmenistan,2.0,f +23115,,Guinea,1.0,t +37816,,Russian Federation,1.0,t +41407,,,1.0,f +31371,100%,,1.0,t +14118,100%,Denmark,3.0,t +28828,100%,Isle of Man,198.0,t +49768,80%,Montserrat,7.0,t +18403,,Estonia,2.0,f +44047,,Faroe Islands,1.0,f +13135,,,1.0,t +2395,,Palestinian Territory,8.0,t +45737,,Tonga,29.0,t +2395,,Palestinian Territory,8.0,t +48648,,Tanzania,1.0,f +2395,,Palestinian Territory,8.0,t +45737,,Tonga,29.0,t +16322,,,1.0,t +7796,100%,,1.0,f +28776,,,1.0,f +16851,,Tonga,2.0,t +12520,100%,Isle of Man,2.0,t +18573,,,5.0,f +4054,,Jersey,3.0,t +33646,,Turkmenistan,1.0,t +43774,,,1.0,f +39940,100%,Cape Verde,3.0,f +28683,60%,Somalia,2.0,f +23582,98%,Montserrat,17.0,f +17836,100%,,1.0,t +46565,,Isle of Man,1.0,f +9991,100%,Monaco,1.0,t +39173,,Lebanon,2.0,t +33198,100%,Mauritania,12.0,f +23582,98%,Montserrat,17.0,f +27972,94%,Brazil,27.0,f +45737,,Tonga,29.0,t +5197,,French Polynesia,1.0,f +817,,Lebanon,1.0,f +470,,Bosnia and Herzegovina,2.0,t +29955,,United Kingdom,2.0,t +31705,,Lebanon,1.0,t +21360,,United Kingdom,1.0,t +7004,,Mexico,1.0,f +41412,100%,Saint Helena,2.0,f +16774,,,1.0,f +23690,,,1.0,f +46617,93%,Guinea,2.0,f +41104,100%,Estonia,6.0,t +45737,,Tonga,29.0,t +2821,,,1.0,t +41104,100%,Estonia,6.0,t +37629,,Russian Federation,1.0,t +39550,0%,Denmark,1.0,f +34064,,Christmas Island,3.0,t +29586,100%,,1.0,t +26585,100%,Venezuela,1.0,f +49870,,Isle of Man,1.0,f +33998,,Cape Verde,1.0,t +32783,90%,Isle of Man,1.0,t +2485,60%,,2.0,t +13403,96%,Maldives,21.0,t +375,,,1.0,t +21640,,Turkmenistan,1.0,t +23582,98%,Montserrat,17.0,f +38894,100%,Isle of Man,1.0,t +21722,,,1.0,f +49002,,Maldives,1.0,f +16520,100%,Marshall Islands,22.0,f +29611,,Libyan Arab Jamahiriya,1.0,t +513,80%,Uganda,1.0,f +9967,,Nicaragua,2.0,f +6429,100%,Monaco,3.0,t +18702,100%,Gibraltar,2.0,t +4701,100%,Senegal,3.0,f +9555,92%,,1.0,t +47442,,Zimbabwe,1.0,f +5956,100%,Marshall Islands,1.0,t +47373,,,1.0,t +42336,,Bouvet Island (Bouvetoya),2.0,f +47391,,,2.0,t +9683,100%,Pitcairn Islands,3.0,t +25994,,,1.0,t +23449,100%,,1.0,t +11446,,Svalbard & Jan Mayen Islands,1.0,t +41774,,Tunisia,1.0,t +41634,,,1.0,t +8843,,,1.0,f +19841,100%,Bouvet Island (Bouvetoya),1.0,f +24425,100%,Mauritania,2.0,t +12147,,Afghanistan,1.0,t +36493,100%,Croatia,1.0,f +48708,100%,,1.0,t +2158,100%,,2.0,t +15907,,Rwanda,1.0,f +22389,,Montserrat,1.0,t +41352,100%,,1.0,f +15631,86%,,1.0,f +40389,100%,Guinea,2.0,f +11664,,,6.0,f +3415,,Guinea,2.0,t +24026,98%,Cape Verde,69.0,t +32465,100%,Isle of Man,3.0,t +49187,,Nauru,1.0,f +16982,,Marshall Islands,1.0,t +46691,90%,Uzbekistan,38.0,f +30635,,Russian Federation,1.0,t +17978,100%,Kiribati,2.0,t +35103,100%,Faroe Islands,1.0,t +3048,,,2.0,f +47603,,Svalbard & Jan Mayen Islands,1.0,f +30484,80%,Rwanda,1.0,t +13006,,,1.0,t +48280,,,1.0,f +3048,,,2.0,f +38577,,,1.0,f +34851,100%,,4.0,f +13850,,,1.0,f +23463,100%,San Marino,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +6533,,Gibraltar,4.0,f +26471,,Kenya,1.0,f +17338,100%,Kiribati,1.0,t +10681,,,1.0,f +15669,,Sao Tome and Principe,6.0,t +39217,,,1.0,f +23110,100%,,1.0,f +45121,100%,Andorra,5.0,t +15043,100%,Rwanda,1.0,f +6574,,Uzbekistan,1.0,t +356,99%,Wallis and Futuna,32.0,t +8449,,,1.0,f +44527,100%,Malta,2.0,f +9731,100%,Gambia,4.0,f +10129,,,1.0,t +6770,90%,Gambia,1.0,f +9731,100%,Gambia,4.0,f +5977,,,1.0,f +17892,,Denmark,1.0,f +31037,100%,,1.0,t +5051,100%,El Salvador,12.0,f +16202,,Isle of Man,1.0,t +40985,100%,Guinea,15.0,t +40985,100%,Guinea,15.0,t +11664,,,6.0,f +40985,100%,Guinea,15.0,t +5222,100%,Christmas Island,1.0,t +47344,,Micronesia,1.0,f +644,100%,,1.0,f +18269,86%,Fiji,12.0,f +38140,,Uzbekistan,1.0,t +25280,100%,Chad,1.0,t +25938,,Holy See (Vatican City State),1.0,f +29647,100%,Peru,1305.0,f +10407,100%,Ecuador,1.0,f +291,,Afghanistan,1.0,f +13565,,Brazil,1.0,t +14698,100%,,7.0,f +6263,100%,Andorra,1.0,t +48900,,Micronesia,2.0,f +13981,100%,Zimbabwe,1.0,f +20270,,,1.0,f +21361,,,1.0,t +37729,100%,Niue,1.0,f +5927,,Togo,1.0,f +2846,62%,United Kingdom,2.0,t +2740,,Estonia,5.0,f +17339,67%,Niue,1.0,f +29117,,Chad,2.0,t +13104,,Gambia,1.0,f +36685,,United Kingdom,1.0,t +854,100%,Venezuela,4.0,t +21982,90%,Nicaragua,2.0,t +19007,100%,Indonesia,1.0,t +25313,,Mexico,1.0,t +26830,,,1.0,t +27119,94%,Nicaragua,10.0,t +19534,50%,Uganda,3.0,t +19093,100%,Nicaragua,4.0,t +42180,100%,,1.0,t +49504,100%,Guinea,2.0,f +43130,100%,Puerto Rico,5.0,f +49501,100%,Afghanistan,1.0,t +5166,100%,Ecuador,16.0,t +14514,,China,80.0,t +45886,100%,El Salvador,3.0,f +5166,100%,Ecuador,16.0,t +5166,100%,Ecuador,16.0,t +29647,100%,Peru,1305.0,f +25008,,Tonga,3.0,t +37479,,Ecuador,1.0,t +21357,,Gambia,1.0,t +20413,67%,El Salvador,1.0,f +8418,,Denmark,2.0,f +8520,,,1.0,f +21982,90%,Nicaragua,2.0,t +48936,100%,,1.0,t +18062,,,1.0,f +34441,,Ecuador,2.0,f +3966,100%,Micronesia,2.0,t +9363,95%,Ukraine,50.0,f +45462,,Estonia,1.0,f +2419,100%,Isle of Man,1.0,t +25351,100%,Fiji,6.0,f +42494,100%,Mauritania,2.0,f +37576,,,1.0,f +17403,100%,Togo,1.0,t +36999,100%,,2.0,f +32031,100%,Zimbabwe,1.0,t +40316,,Malta,1.0,f +11672,100%,Kiribati,6.0,t +20518,100%,Togo,4.0,t +35077,100%,Cocos (Keeling) Islands,4.0,f +40811,,Sao Tome and Principe,1.0,f +7228,,,1.0,t +3147,,Nicaragua,1.0,f +45951,86%,Lithuania,1.0,f +6762,,China,1.0,t +25836,,Tonga,2.0,t +7410,,Russian Federation,1.0,f +21584,71%,Anguilla,2.0,t +30296,100%,,1.0,f +16485,,Bosnia and Herzegovina,1.0,f +43308,100%,,1.0,t +41412,100%,Saint Helena,2.0,f +46336,,,1.0,t +46925,,,1.0,t +7285,100%,Mauritania,1.0,f +28183,,,5.0,f +46626,,Chile,2.0,t +38637,91%,,1.0,f +37427,,,1.0,t +25850,,Chad,1.0,t +23761,,Somalia,5.0,t +26924,100%,Zimbabwe,3.0,f +25670,,Zimbabwe,1.0,f +46969,0%,Russian Federation,1.0,t +26696,100%,France,4.0,t +42205,88%,Netherlands,2.0,t +35860,98%,Vietnam,4.0,t +28851,100%,Guinea,4.0,t +34708,100%,Senegal,1.0,f +27002,100%,Indonesia,1.0,t +28564,,Turks and Caicos Islands,1.0,f +49905,,United Kingdom,2.0,t +41104,100%,Estonia,6.0,t +19958,100%,Congo,40.0,t +43367,92%,Rwanda,1.0,f +49940,100%,,1.0,t +23800,25%,Uzbekistan,1.0,t +17328,,,1.0,t +6761,100%,Zimbabwe,1.0,t +44957,100%,Uzbekistan,8.0,t +7087,0%,Lebanon,1.0,t +46696,100%,,1.0,f +19718,100%,Turks and Caicos Islands,10.0,f +24371,,France,1.0,f +8225,95%,Barbados,31.0,f +19718,100%,Turks and Caicos Islands,10.0,f +19718,100%,Turks and Caicos Islands,10.0,f +19718,100%,Turks and Caicos Islands,10.0,f +35268,100%,Isle of Man,1.0,f +25162,50%,Ecuador,1.0,f +19718,100%,Turks and Caicos Islands,10.0,f +28065,,Rwanda,4.0,f +19718,100%,Turks and Caicos Islands,10.0,f +38702,,Micronesia,1.0,f +28568,100%,Faroe Islands,3.0,f +42516,,,2.0,t +26583,,El Salvador,1.0,t +41128,100%,Uzbekistan,4.0,f +10463,,Gibraltar,1.0,t +28028,,Cape Verde,1.0,t +20320,100%,French Guiana,1.0,t +1381,,Anguilla,1.0,t +46122,,Uzbekistan,1.0,f +12803,100%,Niue,4.0,t +2403,50%,Gibraltar,2.0,f +2935,100%,Isle of Man,3.0,t +19206,67%,Faroe Islands,1.0,f +20565,100%,,1.0,t +22542,,,1.0,f +22502,,French Guiana,1.0,f +9323,,Marshall Islands,1.0,f +48779,,Malta,1.0,f +3640,,Jersey,1.0,f +40506,,,1.0,t +11290,100%,Reunion,12.0,f +18161,,Denmark,3.0,f +13953,100%,,1.0,f +36030,,Croatia,2.0,f +7942,,Brazil,4.0,t +7942,,Brazil,4.0,t +12715,100%,Estonia,29.0,f +7942,,Brazil,4.0,t +18161,,Denmark,3.0,f +47273,,,1.0,f +21450,,Niger,2.0,t +29647,100%,Peru,1305.0,f +38139,,Micronesia,1.0,t +24505,60%,,2.0,f +42600,100%,Malawi,1.0,t +48178,17%,Estonia,5.0,t +1378,,Guinea,1.0,t +17550,100%,Mexico,2.0,f +20702,,Svalbard & Jan Mayen Islands,1.0,t +7141,,Reunion,1.0,f +9463,,,1.0,f +34895,100%,Estonia,16.0,t +36755,100%,,2.0,t +21061,,Brazil,1.0,t +48653,100%,Bouvet Island (Bouvetoya),4.0,f +33610,100%,Guinea,1.0,t +37134,100%,Tonga,1.0,t +11780,,Niue,1.0,f +10749,100%,,3.0,t +20246,,,1.0,f +1357,,,1.0,f +22749,,,1.0,f +35077,100%,Cocos (Keeling) Islands,4.0,f +48178,17%,Estonia,5.0,t +25092,100%,Malta,1.0,f +12491,100%,Pakistan,3.0,f +15225,,Turkmenistan,1.0,t +2857,100%,Montserrat,4.0,f +43344,60%,Maldives,5.0,f +36812,,Cook Islands,2.0,f +38167,100%,,1.0,t +22439,,Gambia,1.0,t +35077,100%,Cocos (Keeling) Islands,4.0,f +46240,100%,Nicaragua,1.0,t +35077,100%,Cocos (Keeling) Islands,4.0,f +24685,100%,,1.0,f +1900,100%,Tunisia,5.0,t +43831,,,1.0,f +9193,90%,Venezuela,1.0,f +29551,100%,Mauritania,2.0,f +20719,,,1.0,f +19074,,,1.0,t +7938,,Lebanon,1.0,t +33852,,Chile,1.0,t +25919,100%,Bouvet Island (Bouvetoya),1.0,t +35833,83%,Estonia,9.0,t +13394,100%,United Kingdom,5.0,f +45454,100%,Pakistan,1.0,f +12451,100%,Nauru,4.0,t +20648,,United Kingdom,1.0,f +46473,,,1.0,t +33774,,Chile,1.0,t +25225,,Ukraine,1.0,f +40975,100%,Marshall Islands,1.0,t +32318,50%,Canada,3.0,f +44164,100%,Mexico,5.0,t +1686,,Zimbabwe,1.0,f +24669,100%,Tonga,2.0,t +32758,,,1.0,f +13609,,Ghana,1.0,t +39308,,,1.0,f +14202,100%,,1.0,f +49450,100%,,1.0,f +2159,,,1.0,f +39321,,,1.0,t +26889,100%,Indonesia,10.0,f +32463,,Uganda,1.0,t +24026,98%,Cape Verde,69.0,t +4356,,,1.0,t +47727,0%,Sao Tome and Principe,1.0,t +10546,,,1.0,t +13068,100%,Svalbard & Jan Mayen Islands,1.0,f +11477,,,1.0,f +4941,,Turkmenistan,1.0,t +41418,100%,Nicaragua,1.0,f +12601,,Gibraltar,2.0,t +33461,,Lebanon,2.0,t +26335,,Guernsey,1.0,t +14514,,China,80.0,t +40906,,Netherlands,1.0,t +27820,100%,Tonga,2.0,t +19401,100%,France,5.0,f +20889,100%,Isle of Man,2.0,f +24385,,Maldives,1.0,t +3250,,Switzerland,2.0,t +43156,100%,Papua New Guinea,1.0,t +29647,100%,Peru,1305.0,f +23323,100%,Venezuela,1.0,f +29647,100%,Peru,1305.0,f +44792,,,1.0,t +10975,,,1.0,t +11711,,Korea,1.0,t +17163,,Marshall Islands,1.0,t +14118,100%,Denmark,3.0,t +35716,100%,Pakistan,4.0,f +34712,,,1.0,f +44857,100%,Zimbabwe,24.0,t +19355,,Jersey,1.0,f +35636,100%,Mauritania,1.0,t +2064,100%,Wallis and Futuna,2.0,f +21490,100%,,1.0,f +18876,60%,Netherlands,26.0,f +28062,,Isle of Man,1.0,f +23565,100%,Slovakia (Slovak Republic),6.0,t +23565,100%,Slovakia (Slovak Republic),6.0,t +21171,100%,El Salvador,2.0,f +3391,100%,Iran,58.0,t +2935,100%,Isle of Man,3.0,t +22582,,,1.0,f +24971,,,4.0,f +3055,,Niue,1.0,t +25769,100%,Uzbekistan,1.0,f +24010,100%,Turkmenistan,2.0,t +2495,,Bouvet Island (Bouvetoya),1.0,f +37544,100%,Malta,2.0,f +29647,100%,Peru,1305.0,f +43466,100%,,1.0,f +24372,80%,,1.0,t +19345,100%,Niue,2.0,t +16521,100%,Cocos (Keeling) Islands,1.0,t +29647,100%,Peru,1305.0,f +1564,100%,Indonesia,12.0,f +34512,,Monaco,1.0,f +14048,100%,Finland,6.0,t +1564,100%,Indonesia,12.0,f +8362,100%,Malawi,2.0,t +7860,100%,,1.0,f +10664,100%,Marshall Islands,5.0,f +7028,100%,Fiji,4.0,t +20518,100%,Togo,4.0,t +6839,,,1.0,t +13278,95%,Isle of Man,7.0,f +48917,,,1.0,f +47427,75%,,1.0,t +23147,,,1.0,f +3365,100%,,1.0,t +4554,,Marshall Islands,1.0,f +25588,,Jersey,2.0,f +13278,95%,Isle of Man,7.0,f +36454,,United Kingdom,1.0,f +43840,100%,Niue,4.0,t +40199,100%,Uzbekistan,6.0,f +11573,,,1.0,f +28396,,Croatia,1.0,t +40199,100%,Uzbekistan,6.0,f +14024,100%,,2.0,f +35324,100%,Kiribati,1.0,f +36086,100%,Sao Tome and Principe,4.0,t +18573,,,5.0,f +35922,100%,Switzerland,5.0,t +18573,,,5.0,f +38132,,,1.0,t +12422,100%,Andorra,3.0,f +31434,100%,Malawi,1.0,t +31041,96%,Ecuador,35.0,f +44094,,,1.0,f +3394,100%,Barbados,2.0,f +2743,97%,China,23.0,f +22797,100%,,2.0,t +28423,,United Kingdom,1.0,t +12087,,Jersey,2.0,f +728,100%,Solomon Islands,2.0,t +31041,96%,Ecuador,35.0,f +36627,,,2.0,t +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +37650,,,7.0,t +15644,,Gambia,1.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +5381,,French Guiana,1.0,t +40690,100%,,1.0,f +48278,,Estonia,1.0,f +15814,100%,Brazil,4.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +10711,93%,Uganda,108.0,t +31041,96%,Ecuador,35.0,f +45853,100%,Monaco,1.0,t +9393,100%,,1.0,t +35504,,Cuba,1.0,f +30433,,,4.0,t +48442,100%,Nicaragua,5.0,t +26593,33%,,1.0,f +9978,100%,Puerto Rico,3.0,t +39433,,Puerto Rico,1.0,f +33940,0%,Niue,1.0,f +8453,100%,Rwanda,6.0,t +35572,,Nicaragua,1.0,f +10679,,Bosnia and Herzegovina,1.0,f +4026,,Turkmenistan,1.0,t +15785,,Niue,1.0,t +31972,100%,,1.0,t +49761,100%,Turkmenistan,1.0,f +36061,,,1.0,t +42540,,Mexico,1.0,f +11741,,United Kingdom,1.0,f +46909,,Jersey,2.0,t +8514,100%,,1.0,t +28383,,Micronesia,1.0,t +14118,100%,Denmark,3.0,t +23384,,,1.0,t +2538,67%,Monaco,1.0,f +35833,83%,Estonia,9.0,t +21874,,Finland,2.0,t +39555,100%,Marshall Islands,13.0,t +3925,,,1.0,f +25717,100%,Tonga,2.0,t +50074,100%,Montserrat,8.0,f +12898,100%,,1.0,t +36778,100%,Uzbekistan,1.0,f +42895,,Marshall Islands,2.0,t +19400,100%,Gibraltar,7.0,f +46617,93%,Guinea,2.0,f +24517,,Russian Federation,1.0,t +28829,,,1.0,f +17932,100%,Costa Rica,8.0,t +37524,100%,Lebanon,1.0,f +47196,,Russian Federation,1.0,f +13278,95%,Isle of Man,7.0,f +19313,,,1.0,t +43237,40%,Montserrat,24.0,f +37210,100%,Tonga,1.0,f +8101,,Chile,1.0,t +45737,,Tonga,29.0,t +2935,100%,Isle of Man,3.0,t +12238,100%,,1.0,t +45737,,Tonga,29.0,t +27091,,,1.0,f +9704,,,1.0,t +22956,100%,Faroe Islands,1.0,f +30095,,,1.0,t +31144,,Maldives,1.0,t +42110,67%,Guinea,2.0,f +2794,100%,Indonesia,3.0,f +23353,67%,,1.0,t +12476,100%,Holy See (Vatican City State),1.0,f +20803,,,1.0,f +44670,,Monaco,1.0,f +31354,100%,Niger,8.0,t +15024,100%,Puerto Rico,3.0,f +18614,100%,,1.0,t +43237,40%,Montserrat,24.0,f +42972,,Gibraltar,1.0,t +30831,100%,Turkmenistan,1.0,f +46869,100%,Micronesia,2.0,t +15805,,,1.0,t +47274,100%,Tonga,48.0,f +47274,100%,Tonga,48.0,f +950,,Chile,1.0,f +6533,,Gibraltar,4.0,f +28300,100%,Russian Federation,1.0,t +6969,,,3.0,f +6969,,,3.0,f +6969,,,3.0,f +36684,,Croatia,1.0,f +17915,100%,Russian Federation,1.0,f +8001,100%,,1.0,t +8304,,,1.0,t +6119,,Niger,1.0,f +28007,100%,,1.0,t +6948,,Costa Rica,1.0,f +21469,100%,Djibouti,1.0,f +275,100%,Tunisia,3.0,t +5885,,,1.0,f +13422,,Isle of Man,1.0,f +19302,,Cape Verde,1.0,f +2990,,Somalia,1.0,f +18409,,Cape Verde,1.0,f +30091,,,1.0,f +414,100%,Uganda,17.0,t +414,100%,Uganda,17.0,t +42603,100%,,1.0,f +21633,,Tanzania,1.0,t +1426,100%,,1.0,t +6394,100%,Micronesia,1.0,f +25519,100%,Slovakia (Slovak Republic),9.0,t +46539,100%,,2.0,f +22069,,Guinea,1.0,t +9874,100%,Montserrat,4.0,t +18453,,United Kingdom,1.0,f +5331,100%,Russian Federation,1.0,t +414,100%,Uganda,17.0,t +20011,,Marshall Islands,1.0,t +8567,,Maldives,1.0,t +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +21891,,,2.0,t +5931,100%,Reunion,2.0,t +49749,,,1.0,t +11184,,Nauru,2.0,t +9753,,,1.0,f +13654,0%,Chad,1.0,f +8056,,Micronesia,1.0,t +1261,100%,Malawi,3.0,t +31041,96%,Ecuador,35.0,f +5170,,Turks and Caicos Islands,1.0,t +25590,100%,Gambia,1.0,t +1042,,,1.0,t +31041,96%,Ecuador,35.0,f +16011,100%,Rwanda,1.0,f +31041,96%,Ecuador,35.0,f +6261,,,1.0,f +17852,100%,Cape Verde,1.0,t +29647,100%,Peru,1305.0,f +15622,,Reunion,1.0,f +1225,,,1.0,t +41402,,,1.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +44093,,Mexico,1.0,f +31041,96%,Ecuador,35.0,f +6383,,Djibouti,1.0,t +31041,96%,Ecuador,35.0,f +2555,,Malta,1.0,t +39143,89%,,33.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +45190,,Barbados,1.0,f +50003,,Zimbabwe,1.0,t +16986,,Chile,1.0,t +39004,100%,Kiribati,2.0,f +46291,50%,Chad,1.0,t +36290,100%,Cuba,1.0,t +14325,,Maldives,2.0,t +414,100%,Uganda,17.0,t +37967,,,1.0,t +8806,,,1.0,t +48756,100%,Maldives,59.0,f +39876,100%,Cuba,3.0,f +13398,,,3.0,t +28828,100%,Isle of Man,198.0,t +3081,100%,Switzerland,1.0,t +7675,,,1.0,t +31335,90%,China,1.0,f +28873,,,2.0,t +23336,,Puerto Rico,1.0,f +31041,96%,Ecuador,35.0,f +21112,,Greenland,1.0,f +17826,,,1.0,f +2963,,United Kingdom,1.0,t +36649,,Gibraltar,1.0,f +10711,93%,Uganda,108.0,t +26619,100%,Nicaragua,1.0,f +22654,100%,,2.0,f +18269,86%,Fiji,12.0,f +8159,100%,Micronesia,3.0,f +44207,80%,Djibouti,8.0,t +4439,,Chad,3.0,t +414,100%,Uganda,17.0,t +44207,80%,Djibouti,8.0,t +414,100%,Uganda,17.0,t +10143,100%,Sao Tome and Principe,2.0,f +17016,,,1.0,t +19653,,Cook Islands,1.0,f +23407,,Maldives,2.0,f +11797,,Isle of Man,1.0,f +32038,100%,Indonesia,35.0,f +21286,100%,Tonga,6.0,t +18905,,Turkmenistan,1.0,t +31041,96%,Ecuador,35.0,f +44213,,,1.0,t +31041,96%,Ecuador,35.0,f +9222,100%,Brazil,18.0,t +31053,,France,1.0,t +43595,,,1.0,f +47274,100%,Tonga,48.0,f +40549,100%,Maldives,2.0,t +15996,,,1.0,t +24064,100%,Niue,2.0,t +6606,0%,,1.0,f +22251,100%,Gambia,11.0,f +15551,,Tonga,1.0,t +28068,,Micronesia,1.0,f +43840,100%,Niue,4.0,t +22251,100%,Gambia,11.0,f +30496,,,1.0,f +7303,,,1.0,f +12454,,Faroe Islands,1.0,t +37639,100%,Nauru,11.0,f +5490,100%,United Kingdom,1.0,t +12767,,,1.0,f +32029,100%,Saint Helena,2.0,t +15124,,Philippines,1.0,f +7881,100%,Niue,6.0,t +5024,,Niue,1.0,t +46645,,Ukraine,1.0,f +3391,100%,Iran,58.0,t +11363,,,1.0,t +11860,100%,,2.0,t +3560,,,2.0,t +42368,,,1.0,f +1727,,Guinea,1.0,f +1534,80%,Uzbekistan,3.0,t +41997,100%,Tunisia,1.0,t +15015,,,1.0,t +24959,86%,Turkmenistan,1.0,f +39179,,Cuba,1.0,t +21251,,Malta,1.0,f +29647,100%,Peru,1305.0,f +31041,96%,Ecuador,35.0,f +8700,,,1.0,t +31041,96%,Ecuador,35.0,f +31041,96%,Ecuador,35.0,f +41898,,Maldives,1.0,t +31041,96%,Ecuador,35.0,f +1549,100%,Malta,1.0,t +10711,93%,Uganda,108.0,t +10711,93%,Uganda,108.0,t +46682,,Philippines,3.0,f +1301,,Micronesia,1.0,f +31041,96%,Ecuador,35.0,f +39109,77%,Ukraine,24.0,t +18037,100%,Brazil,2.0,f +32635,,Guinea,1.0,f +2714,100%,Bosnia and Herzegovina,8.0,f +20654,100%,Tanzania,1.0,f +21286,100%,Tonga,6.0,t +49126,100%,Guinea,3.0,t +13204,100%,Russian Federation,2.0,t +41125,80%,Vanuatu,1.0,f +21697,,,1.0,t +8279,,,1.0,f +18939,,Reunion,3.0,t +33744,,,1.0,f +19344,,,1.0,t +7471,,Turkmenistan,1.0,t +11891,100%,Russian Federation,1.0,t +9368,67%,,1.0,f +47745,,,1.0,t +34441,,Ecuador,2.0,f +2057,100%,Brazil,1.0,f +124,,,1.0,t +47594,100%,Kenya,17.0,t +49527,,,1.0,t +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +46917,100%,,2.0,t +31492,,Denmark,1.0,t +30152,,French Guiana,1.0,t +22259,,,1.0,f +49750,100%,Kenya,2.0,t +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +31444,100%,Reunion,25.0,f +23582,98%,Montserrat,17.0,f +31444,100%,Reunion,25.0,f +1755,,Sao Tome and Principe,1.0,t +30760,,Guinea,1.0,t +5555,100%,Denmark,11.0,t +17004,100%,United Kingdom,1.0,f +19900,,Kiribati,1.0,f +21190,100%,Uganda,3.0,f +33627,89%,Gambia,3.0,t +29849,100%,Turkmenistan,1.0,t +16204,100%,Reunion,1.0,t +23582,98%,Montserrat,17.0,f +275,100%,Tunisia,3.0,t +27580,,Monaco,1.0,f +24976,100%,Russian Federation,1.0,t +35397,100%,,1.0,t +8717,,Ecuador,1.0,t +9150,,Chile,1.0,f +23868,67%,,15.0,t +10020,90%,China,5.0,f +6030,,Nauru,2.0,t +23974,0%,United Kingdom,1.0,f +36658,94%,China,20.0,t +36658,94%,China,20.0,t +19271,100%,Jersey,11.0,f +31669,,San Marino,1.0,t +48537,,Kenya,1.0,t +20740,,,2.0,t +42163,,Rwanda,1.0,t +49398,88%,Barbados,18.0,t +4084,100%,,2.0,t +41974,,,1.0,f +46917,100%,,2.0,t +41228,,Fiji,1.0,f +15469,,Lebanon,1.0,f +33555,,Maldives,1.0,f +45674,,Mauritania,1.0,f +18129,,Niue,1.0,t +29409,,,1.0,f +28972,100%,Russian Federation,1.0,t +29217,,Anguilla,3.0,t +22520,,Kenya,1.0,t +7925,,Russian Federation,1.0,f +21282,,,1.0,t +10927,100%,Gambia,2.0,t +36180,100%,,1.0,t +40840,70%,,1.0,f +4561,,Niue,1.0,f +6134,,,3.0,t +14766,100%,Rwanda,2.0,t +1864,,,1.0,f +46319,,,2.0,t +19271,100%,Jersey,11.0,f +3569,,Mauritania,1.0,f +13819,,,1.0,f +23480,100%,,3.0,t +30441,100%,Guinea,1.0,t +41247,,,1.0,f +47729,,Kiribati,1.0,t +20017,100%,Faroe Islands,1.0,t +28273,100%,,2.0,f +50095,,Cocos (Keeling) Islands,1.0,f +19132,,Lithuania,1.0,t +20004,100%,Marshall Islands,1.0,t +41169,,Chad,2.0,t +30030,,,1.0,f +21242,,,1.0,f +17421,,Anguilla,1.0,f +14270,,Rwanda,1.0,f +4049,,,1.0,t +2857,100%,Montserrat,4.0,f +38631,100%,,5.0,t +3394,100%,Barbados,2.0,f +37102,,,1.0,f +11853,100%,,2.0,t +36222,100%,,2.0,f +6714,,Costa Rica,1.0,f +792,,,1.0,t +36234,97%,Fiji,12.0,t +18420,,Wallis and Futuna,1.0,t +45737,,Tonga,29.0,t +30588,100%,Nauru,12.0,t +22273,100%,,2.0,f +1744,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +42988,,Guinea,2.0,t +17866,100%,Tanzania,2.0,t +48756,100%,Maldives,59.0,f +1037,100%,El Salvador,1.0,f +48756,100%,Maldives,59.0,f +23394,,Finland,1.0,f +38858,100%,Zimbabwe,2.0,f +39295,100%,Gibraltar,2.0,t +4931,,Chad,1.0,f +33501,,Svalbard & Jan Mayen Islands,1.0,f +29255,,Mauritania,1.0,t +28321,,Turks and Caicos Islands,1.0,f +31479,,Barbados,1.0,f +24785,,,1.0,t +14866,100%,Faroe Islands,1.0,t +22685,90%,Brazil,1.0,f +35442,,Russian Federation,14.0,f +38050,,,1.0,f +44485,,Brazil,1.0,t +9054,100%,Seychelles,4.0,t +48756,100%,Maldives,59.0,f +11224,,,1.0,f +31287,,,1.0,f +33376,0%,Brazil,1.0,f +33590,100%,,2.0,t +3962,100%,,1.0,f +7902,,Cape Verde,1.0,f +39686,,,1.0,f +15946,100%,,1.0,t +7146,,Mauritania,1.0,t +5905,,,1.0,f +49799,100%,,1.0,f +28919,,Malawi,2.0,t +40778,100%,Pakistan,7.0,f +36658,94%,China,20.0,t +36658,94%,China,20.0,t +313,0%,,1.0,t +4866,100%,,1.0,f +10749,100%,,3.0,t +19363,0%,Uzbekistan,1.0,f +17246,,,1.0,t +31652,100%,Kenya,8.0,t +28651,,Uzbekistan,1.0,t +28629,100%,,2.0,t +39285,,Barbados,1.0,t +23727,,,1.0,t +14858,,Croatia,1.0,f +4330,94%,Ukraine,60.0,t +37519,100%,Indonesia,1.0,f +48615,,Netherlands,1.0,f +31250,,,1.0,f +22427,,Russian Federation,2.0,t +27272,100%,China,1.0,f +46658,100%,,1.0,t +45739,80%,Maldives,6.0,t +40872,,Pakistan,1.0,f +27158,100%,Indonesia,1.0,f +41007,,Guinea,1.0,f +46972,,Senegal,2.0,f +49117,,,1.0,t +20435,,Russian Federation,2.0,t +43827,100%,Marshall Islands,2.0,f +27075,100%,El Salvador,2.0,f +5057,100%,Zimbabwe,23.0,t +20435,,Russian Federation,2.0,t +41470,,Saint Helena,1.0,t +21849,,Maldives,1.0,t +32880,,Uzbekistan,1.0,t +15738,,Montserrat,1.0,t +9435,100%,Estonia,1.0,t +5507,,Uganda,1.0,f +8354,33%,Russian Federation,1.0,t +38152,100%,Zimbabwe,2.0,t +43822,,Costa Rica,1.0,t +37097,90%,Afghanistan,1.0,t +30965,,Gibraltar,1.0,t +50074,100%,Montserrat,8.0,f +42299,100%,Marshall Islands,1.0,f +16556,100%,Tonga,1.0,f +24118,98%,Ghana,21.0,t +29647,100%,Peru,1305.0,f +28125,,Reunion,2.0,t +42795,,French Guiana,1.0,f +47594,100%,Kenya,17.0,t +15637,,,1.0,t +13894,100%,Isle of Man,5.0,f +48442,100%,Nicaragua,5.0,t +38031,100%,Venezuela,1.0,t +48442,100%,Nicaragua,5.0,t +42008,,,1.0,t +34085,89%,Cocos (Keeling) Islands,3.0,t +42793,,Monaco,1.0,f +45308,,Isle of Man,1.0,f +10711,93%,Uganda,108.0,t +15817,100%,Barbados,4.0,t +47244,50%,Guernsey,1.0,t +28435,,,1.0,f +8715,100%,Uganda,2.0,f +25986,,Croatia,2.0,t +41438,,Russian Federation,1.0,t +46626,,Chile,2.0,t +49367,,,1.0,f +27439,100%,Tanzania,1.0,t +29837,100%,,1.0,t +28974,70%,,1.0,t +34068,,,1.0,f +48532,100%,,1.0,f +39423,100%,,6.0,t +39236,,Afghanistan,3.0,f +33532,,,1.0,t +9685,100%,French Guiana,1.0,f +35360,,France,1.0,f +45160,100%,,2.0,t +46019,100%,,1.0,t +18231,93%,Uganda,7.0,t +19217,98%,Marshall Islands,46.0,f +6894,80%,Estonia,47.0,t +12487,,Turkmenistan,1.0,f +29647,100%,Peru,1305.0,f +14743,100%,Gambia,1.0,t +15752,100%,Bouvet Island (Bouvetoya),2.0,f +20730,,Djibouti,1.0,t +25974,100%,Tonga,1.0,f +50074,100%,Montserrat,8.0,f +46275,,Bosnia and Herzegovina,1.0,t +31707,100%,Niger,48.0,f +32171,100%,Micronesia,1.0,f +31707,100%,Niger,48.0,f +20097,,,1.0,f +31707,100%,Niger,48.0,f +2679,0%,United Kingdom,1.0,f +36092,80%,Gambia,3.0,t +49689,100%,Niger,6.0,f +38367,,Costa Rica,1.0,t +36092,80%,Gambia,3.0,t +29939,,Lebanon,2.0,f +6717,,,1.0,f +10711,93%,Uganda,108.0,t +28323,,Malta,1.0,t +33698,100%,Cocos (Keeling) Islands,1.0,t +40602,,Slovenia,1.0,f +29892,,,1.0,t +35275,75%,,1.0,f +10711,93%,Uganda,108.0,t +4881,,Kenya,1.0,f +13922,,Chile,3.0,t +13922,,Chile,3.0,t +49755,,Uzbekistan,1.0,f +22423,,,1.0,t +34312,100%,,1.0,f +7930,,,1.0,f +27349,100%,France,1.0,t +28828,100%,Isle of Man,198.0,t +36915,100%,Senegal,1.0,f +40886,0%,Turks and Caicos Islands,3.0,f +8892,,French Guiana,1.0,t +4675,100%,,1.0,f +38072,100%,Niue,3.0,t +49378,90%,,2.0,t +36507,,Micronesia,1.0,t +4500,,Isle of Man,1.0,t +6018,,Marshall Islands,1.0,f +23278,,Kenya,1.0,t +3658,,Micronesia,2.0,t +45714,100%,,1.0,f +49114,,Venezuela,1.0,f +46866,100%,Kiribati,3.0,t +44249,,,1.0,f +12258,,,1.0,t +31707,100%,Niger,48.0,f +45898,100%,Andorra,1.0,t +27514,,Jersey,1.0,t +16553,,Cocos (Keeling) Islands,1.0,t +26310,100%,El Salvador,1.0,t +13529,75%,Sao Tome and Principe,1.0,f +11808,100%,Gibraltar,4.0,f +8918,100%,,1.0,t +19271,100%,Jersey,11.0,f +24344,,Guernsey,2.0,f +34584,,Faroe Islands,2.0,f +42386,100%,Ecuador,6.0,t +48719,,,1.0,t +10036,,,2.0,t +26592,,,1.0,t +46759,,,1.0,f +14321,,Russian Federation,2.0,t +22651,,,1.0,t +11808,100%,Gibraltar,4.0,f +35723,90%,French Guiana,1.0,t +4509,,Vanuatu,1.0,f +31594,100%,Philippines,19.0,t +24898,,France,1.0,t +9465,100%,Slovakia (Slovak Republic),3.0,t +26174,,,1.0,f +20334,99%,Niger,171.0,t +14160,90%,Slovakia (Slovak Republic),4.0,t +13394,100%,United Kingdom,5.0,f +19218,100%,Philippines,1.0,f +45153,83%,,2.0,t +11120,,,1.0,t +5166,100%,Ecuador,16.0,t +18077,100%,Sao Tome and Principe,139.0,f +6952,,,1.0,f +5166,100%,Ecuador,16.0,t +20334,99%,Niger,171.0,t +21795,,Bosnia and Herzegovina,1.0,t +17639,90%,Kenya,3.0,f +24434,,Marshall Islands,1.0,t +47296,100%,,1.0,f +37716,,Micronesia,1.0,t +36643,98%,Maldives,17.0,f +23585,,Jersey,1.0,f +39793,100%,Uzbekistan,1.0,t +35727,,,1.0,f +35676,80%,Uganda,2.0,t +9222,100%,Brazil,18.0,t +10850,100%,,1.0,f +19271,100%,Jersey,11.0,f +41851,100%,,3.0,t +14258,50%,Senegal,1.0,f +40688,100%,Holy See (Vatican City State),3.0,t +12965,100%,Vietnam,11.0,t +19670,100%,Ecuador,1.0,f +42119,100%,Djibouti,2.0,t +9578,,Mexico,1.0,f +2735,100%,Netherlands,6.0,f +17554,,Montserrat,1.0,t +35293,,,1.0,f +37228,,,1.0,t +21106,100%,Tonga,1.0,f +18889,,Pakistan,1.0,t +42811,100%,Isle of Man,1.0,f +12350,100%,Niger,2.0,t +37038,67%,,1.0,f +31712,100%,Russian Federation,2.0,t +206,100%,China,5.0,t +9363,95%,Ukraine,50.0,f +39119,93%,Marshall Islands,1.0,f +6722,100%,,1.0,t +16522,90%,Anguilla,1.0,f +20138,100%,,1.0,t +35436,99%,Nicaragua,21.0,f +4192,,Nicaragua,4.0,f +44958,100%,Senegal,1.0,t +21922,75%,Sao Tome and Principe,1.0,t +19706,100%,Turkmenistan,1.0,f +34376,,Nauru,1.0,f +14996,60%,Maldives,1.0,f +7481,100%,,1.0,f +31074,100%,Malta,4.0,t +31074,100%,Malta,4.0,t +49398,88%,Barbados,18.0,t +41672,100%,,1.0,t +47110,,Nauru,1.0,t +26064,,,1.0,f +30883,,Peru,1.0,f +16452,80%,Afghanistan,1.0,t +14573,,,1.0,t +37827,,Chile,2.0,t +35820,100%,Turkmenistan,2.0,t +13464,,Afghanistan,2.0,t +36526,100%,Russian Federation,1.0,f +699,100%,Uzbekistan,3.0,f +30607,,Nicaragua,3.0,t +8479,,Gambia,1.0,f +30041,100%,Vietnam,1.0,t +6988,88%,United Kingdom,2.0,f +40088,,Mauritania,1.0,t +19558,,Kenya,1.0,f +43106,,,1.0,f +6417,,Gibraltar,1.0,t +6214,,El Salvador,1.0,t +30315,,,1.0,t +16134,,Andorra,1.0,f +43387,,,1.0,f +19718,100%,Turks and Caicos Islands,10.0,f +46512,,Indonesia,4.0,t +33624,100%,,1.0,f +5687,100%,,1.0,t +33534,,Sao Tome and Principe,1.0,f +32508,,Malta,2.0,f +34611,100%,,1.0,t +8149,,Tonga,1.0,t +19248,25%,Maldives,3.0,f +19248,25%,Maldives,3.0,f +34895,100%,Estonia,16.0,t +43469,,,1.0,f +43677,50%,,1.0,f +10751,,,3.0,t +33696,,Lebanon,2.0,t +32855,,Montserrat,1.0,t +4518,100%,Niue,3.0,f +33164,60%,Togo,6.0,f +33164,60%,Togo,6.0,f +25642,,Lebanon,1.0,f +29647,100%,Peru,1305.0,f +45249,57%,Philippines,1.0,t +13602,,Anguilla,2.0,f +13602,,Anguilla,2.0,f +22639,,,1.0,f +5959,100%,Tunisia,1.0,t +8970,70%,Faroe Islands,2.0,t +3291,100%,,1.0,f +9238,100%,Uganda,1.0,t +46664,100%,Croatia,2.0,t +46760,,Lebanon,1.0,f +24844,100%,Uzbekistan,6.0,f +31215,100%,Sao Tome and Principe,2.0,f +42155,,Uzbekistan,1.0,f +40398,,,1.0,f +46316,,,1.0,f +18046,,Chad,1.0,t +39320,,,1.0,f +46934,100%,Gibraltar,2.0,t +31780,,French Guiana,1.0,f +14435,,,1.0,t +4525,98%,El Salvador,9.0,t +13265,,Philippines,2.0,t +46220,100%,,2.0,f +34385,,,1.0,f +40846,,Sao Tome and Principe,3.0,t +24775,97%,Montserrat,44.0,f +15549,100%,,1.0,t +7192,100%,Maldives,2.0,f +3391,100%,Iran,58.0,t +29815,100%,Monaco,2.0,t +3391,100%,Iran,58.0,t +29214,,Togo,1.0,f +42547,,Guinea,1.0,t +9408,,Anguilla,1.0,f +44116,100%,Zimbabwe,1.0,t +9215,100%,Anguilla,2.0,f +45737,,Tonga,29.0,t +46110,100%,Afghanistan,4.0,f +29647,100%,Peru,1305.0,f +14805,,Ghana,2.0,f +9589,100%,Faroe Islands,1.0,f +2954,100%,Denmark,5.0,t +49059,100%,Gambia,16.0,t +5536,,Barbados,1.0,t +36202,100%,Niue,1.0,f +47077,100%,Bouvet Island (Bouvetoya),2.0,f +49059,100%,Gambia,16.0,t +39558,,Lebanon,1.0,t +28828,100%,Isle of Man,198.0,t +13374,67%,,2.0,f +40100,100%,Nicaragua,1.0,t +22384,,Niue,1.0,t +30869,100%,,2.0,t +34806,100%,Vanuatu,1.0,f +41104,100%,Estonia,6.0,t +6653,,El Salvador,1.0,f +28241,97%,Maldives,10.0,f +3103,100%,Turks and Caicos Islands,4.0,f +29647,100%,Peru,1305.0,f +42575,,Nauru,1.0,t +16091,100%,Kiribati,1.0,t +2460,,Vietnam,2.0,f +7035,,Costa Rica,1.0,f +46682,,Philippines,3.0,f +39109,77%,Ukraine,24.0,t +2709,,Chile,1.0,f +16877,,Malta,1.0,t +29166,100%,Mauritania,3.0,f +24896,100%,Algeria,50.0,t +11719,,Gibraltar,1.0,t +14802,,Faroe Islands,2.0,t +654,100%,Peru,1.0,t +10124,,Cape Verde,1.0,t +22785,100%,,3.0,f +23818,,Congo,1.0,f +25694,,,1.0,f +36031,,Uzbekistan,2.0,f +25796,,Niue,2.0,f +49146,90%,Tunisia,2.0,t +12715,100%,Estonia,29.0,f +19857,,Marshall Islands,1.0,f +23408,,Kenya,1.0,t +8407,100%,Gibraltar,1.0,f +17591,,,1.0,t +2833,100%,Cuba,1.0,t +26084,,Vietnam,4.0,t +45584,0%,Kenya,2.0,t +15122,100%,,2.0,f +17524,100%,Reunion,4.0,t +3433,100%,Faroe Islands,1.0,t +40054,0%,Jersey,2.0,f +16964,100%,Cape Verde,3.0,t +48498,,,1.0,t +23775,,Cocos (Keeling) Islands,1.0,f +24775,97%,Montserrat,44.0,f +15530,,,1.0,f +24182,100%,Jersey,2.0,t +47668,,Turkmenistan,1.0,f +26312,100%,,3.0,t +6598,100%,,1.0,t +8097,100%,Anguilla,2.0,t +5446,,Zimbabwe,2.0,f +37898,100%,Peru,1.0,f +24775,97%,Montserrat,44.0,f +8225,95%,Barbados,31.0,f +24501,100%,Andorra,2.0,t +10664,100%,Marshall Islands,5.0,f +15497,100%,Jersey,1.0,f +46629,,Zimbabwe,1.0,t +4703,,Rwanda,1.0,f +47661,,Costa Rica,1.0,f +31005,,,1.0,f +24772,90%,Denmark,10.0,f +11562,100%,Ghana,5.0,f +11753,100%,Gambia,11.0,t +27382,,Ecuador,1.0,f +13125,,Guinea,1.0,f +3190,,Russian Federation,1.0,t +39364,90%,Brazil,1.0,f +3425,,,2.0,f +28241,97%,Maldives,10.0,f +40076,90%,Montserrat,2.0,f +18297,,,1.0,t +12979,,,1.0,t +3059,88%,Isle of Man,1.0,t +488,100%,Maldives,18.0,f +4525,98%,El Salvador,9.0,t +25727,,Monaco,1.0,f +10677,100%,Venezuela,1.0,f +49348,60%,French Guiana,2.0,f +49548,100%,Faroe Islands,2.0,t +1839,100%,,1.0,f +23034,99%,Monaco,54.0,f +4525,98%,El Salvador,9.0,t +21765,,Mauritania,1.0,t +23350,,,1.0,f +41795,,Denmark,1.0,t +19958,100%,Congo,40.0,t +29988,,French Guiana,5.0,t +29851,100%,Uzbekistan,1.0,t +13464,,Afghanistan,2.0,t +32379,,Tonga,1.0,t +25154,100%,,2.0,t +36901,100%,,6.0,t +41492,100%,,1.0,t +11562,100%,Ghana,5.0,f +43902,100%,,2.0,t +49095,0%,,1.0,f +3841,40%,Isle of Man,1.0,f +39940,100%,Cape Verde,3.0,f +40129,,Kiribati,1.0,t +41878,91%,Maldives,47.0,f +9182,100%,El Salvador,1.0,t +22090,100%,Marshall Islands,1.0,t +39787,,Uzbekistan,1.0,f +21165,,Indonesia,1.0,t +26586,,Sao Tome and Principe,2.0,t +26972,100%,,1.0,f +15145,100%,,1.0,t +34584,,Faroe Islands,2.0,f +31267,,Faroe Islands,1.0,f +897,,Bahrain,1.0,t +548,100%,,3.0,f +6256,100%,,1.0,f +15816,,Russian Federation,1.0,t +9446,,Malta,1.0,f +24227,100%,,1.0,f +11561,,France,1.0,f +20271,0%,,1.0,f +9043,100%,Gibraltar,3.0,f +38631,100%,,5.0,t +3391,100%,Iran,58.0,t +6123,,Gambia,1.0,t +8043,,Zimbabwe,2.0,f +19271,100%,Jersey,11.0,f +46110,100%,Afghanistan,4.0,f +42620,100%,,1.0,f +20574,100%,Malawi,1.0,t +39365,,,1.0,t +49387,,Turkmenistan,1.0,t +46758,100%,,1.0,t +976,100%,Zimbabwe,2.0,t +12366,100%,,1.0,f +3425,,,2.0,f +5873,100%,Marshall Islands,2.0,t +36386,,United Kingdom,1.0,t +37043,100%,Pakistan,11.0,f +47617,100%,Philippines,2.0,f +10664,100%,Marshall Islands,5.0,f +42701,90%,Tanzania,4.0,t +9308,75%,Chile,2.0,f +37043,100%,Pakistan,11.0,f +42701,90%,Tanzania,4.0,t +36701,,,5.0,f +33203,100%,,3.0,f +10372,,Guinea,1.0,t +29153,100%,Malta,1.0,f +8168,,Indonesia,1.0,t +480,100%,Nicaragua,1.0,f +6980,,Costa Rica,1.0,t +42856,,,1.0,t +29030,,Croatia,1.0,t +42813,,Jersey,1.0,f +12623,,,1.0,t +37934,,Portugal,1.0,t +27785,100%,Uzbekistan,58.0,f +42584,100%,Maldives,2.0,t +27521,,Chile,2.0,t +14991,100%,,1.0,f +13497,,,1.0,t +32436,100%,,1.0,t +4905,,Bouvet Island (Bouvetoya),1.0,t +5964,0%,,2.0,f +1692,100%,Jersey,15.0,t +9657,67%,French Guiana,1.0,f +27347,,,1.0,f +36345,,Uganda,1.0,f +41671,100%,Kenya,2.0,t +41514,,Malta,1.0,f +31707,100%,Niger,48.0,f +12813,100%,Mauritania,2.0,t +7401,90%,Korea,2.0,f +32178,,Niue,4.0,t +29988,,French Guiana,5.0,t +22251,100%,Gambia,11.0,f +22549,100%,Indonesia,2.0,t +30247,100%,,2.0,f +9996,100%,Christmas Island,1.0,f +26889,100%,Indonesia,10.0,f +41965,,Kiribati,1.0,t +29647,100%,Peru,1305.0,f +28946,100%,Vanuatu,1.0,t +43064,,Guinea,1.0,t +48623,100%,Zimbabwe,1.0,t +17417,,Denmark,11.0,f +31102,,,1.0,t +28416,100%,,1.0,t +32178,,Niue,4.0,t +37501,,Togo,1.0,f +35871,,Marshall Islands,1.0,f +32178,,Niue,4.0,t +9731,100%,Gambia,4.0,f +48792,,Faroe Islands,1.0,t +14321,,Russian Federation,2.0,t +20120,100%,Wallis and Futuna,10.0,f +29988,,French Guiana,5.0,t +22019,100%,Monaco,1.0,t +29988,,French Guiana,5.0,t +14940,100%,Marshall Islands,2.0,f +43474,86%,,1.0,f +47650,96%,Mauritania,2.0,t +2859,90%,Bahrain,1.0,f +42601,,Peru,1.0,t +11939,100%,,2.0,t +37828,50%,Afghanistan,1.0,f +14450,100%,Zimbabwe,1.0,f +9287,,Nauru,1.0,f +9603,,Jersey,1.0,f +19271,100%,Jersey,11.0,f +49398,88%,Barbados,18.0,t +62,,Bosnia and Herzegovina,1.0,t +26952,,Russian Federation,3.0,t +38695,100%,United Kingdom,4.0,t +18941,,,1.0,f +24118,98%,Ghana,21.0,t +24118,98%,Ghana,21.0,t +41081,,,1.0,t +28625,100%,,2.0,t +2292,,Croatia,1.0,t +40683,100%,United Kingdom,2.0,t +24290,,Kiribati,1.0,f +29157,100%,Canada,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +2928,100%,Marshall Islands,3.0,t +46412,,Brazil,1.0,t +38032,,Svalbard & Jan Mayen Islands,1.0,t +24775,97%,Montserrat,44.0,f +24775,97%,Montserrat,44.0,f +39973,100%,Micronesia,1.0,f +31354,100%,Niger,8.0,t +8824,,,1.0,f +12469,,,1.0,f +8097,100%,Anguilla,2.0,t +33601,100%,,3.0,f +27576,50%,,1.0,t +30870,,,1.0,t +2378,100%,Uzbekistan,2.0,f +43133,,Rwanda,1.0,f +32508,,Malta,2.0,f +29673,,Chad,1.0,t +41208,,Anguilla,1.0,f +5412,,Nicaragua,1.0,f +1577,100%,Peru,8.0,t +17269,100%,Maldives,5.0,t +6182,,Montserrat,1.0,t +38840,,,1.0,f +11291,100%,,1.0,f +21917,100%,,1.0,f +34494,100%,Niue,2.0,t +15992,100%,Maldives,2.0,t +39579,100%,Uzbekistan,2.0,t +20324,100%,United Kingdom,2.0,f +41466,71%,,1.0,f +19513,,,1.0,f +30948,,,1.0,f +49309,100%,Switzerland,1.0,f +43162,72%,China,7.0,f +10310,100%,Togo,2.0,f +43162,72%,China,7.0,f +8041,96%,Bouvet Island (Bouvetoya),2.0,f +34625,,Malawi,1.0,f +49479,,Russian Federation,1.0,t +21589,100%,Zimbabwe,1.0,f +19944,100%,Kiribati,12.0,f +46398,,Niue,1.0,f +21161,100%,Marshall Islands,1.0,f +29266,,,1.0,t +28365,,China,4.0,t +46532,,Sao Tome and Principe,1.0,f +12663,,Senegal,2.0,f +48409,,Estonia,60.0,t +10071,,Gambia,1.0,f +7769,100%,Niue,1.0,f +29066,,Rwanda,1.0,t +2703,,,1.0,f +39109,77%,Ukraine,24.0,t +31327,,Russian Federation,1.0,t +49503,,Nicaragua,1.0,t +37470,100%,,1.0,t +48409,,Estonia,60.0,t +1631,100%,,1.0,f +8997,100%,Lithuania,1.0,t +41646,,Maldives,3.0,f +37390,,Niue,1.0,f +44558,,Tanzania,1.0,f +13532,,,1.0,t +46016,100%,,1.0,t +9706,100%,Niger,1.0,t +32756,67%,,1.0,f +49339,,,1.0,f +32227,,,1.0,f +9213,100%,,1.0,f +28759,,,1.0,f +29549,,Micronesia,1.0,f +45957,,El Salvador,1.0,f +2752,,,1.0,f +4043,100%,,1.0,t +35963,,El Salvador,1.0,t +8985,100%,Gibraltar,1.0,t +28165,,Chile,1.0,f +19870,100%,Russian Federation,1.0,f +14860,,Sao Tome and Principe,1.0,t +37354,,Rwanda,1.0,f +8629,,Svalbard & Jan Mayen Islands,1.0,f +1189,100%,Lebanon,1.0,t +40641,,United Kingdom,1.0,f +24251,100%,,1.0,t +29217,,Anguilla,3.0,t +36023,,Niue,1.0,t +28338,,Anguilla,1.0,t +12257,,Isle of Man,1.0,f +20382,100%,Svalbard & Jan Mayen Islands,4.0,t +2677,100%,,1.0,t +26472,50%,Indonesia,2.0,t +12397,100%,Niue,1.0,f +12374,83%,Niue,2.0,f +16855,,,1.0,f +17264,,Tonga,1.0,t +2922,,Russian Federation,1.0,t +49449,,Jersey,4.0,f +41952,,Lebanon,1.0,t +872,100%,Tonga,1.0,f +3242,,,1.0,f +44640,100%,French Polynesia,4.0,t +49449,,Jersey,4.0,f +49449,,Jersey,4.0,f +46342,60%,,1.0,f +49449,,Jersey,4.0,f +20309,,El Salvador,1.0,f +31129,100%,Marshall Islands,3.0,t +31594,100%,Philippines,19.0,t +1470,,,2.0,f +44710,100%,Nicaragua,6.0,f +36880,100%,Micronesia,1.0,f +14532,100%,Guinea,1.0,f +20544,,,1.0,t +16469,100%,Lithuania,1.0,t +13112,100%,Faroe Islands,2.0,t +23689,,Russian Federation,1.0,t +1773,100%,Barbados,1.0,t +414,100%,Uganda,17.0,t +414,100%,Uganda,17.0,t +42006,100%,Bahrain,2.0,t +34155,100%,Tonga,4.0,t +32556,90%,Estonia,11.0,t +14195,100%,,2.0,f +33095,,Uzbekistan,1.0,t +40836,100%,Togo,6.0,t +8601,,Angola,16.0,f +15669,,Sao Tome and Principe,6.0,t +23180,100%,,1.0,t +36642,100%,Holy See (Vatican City State),4.0,t +37549,100%,Chile,1.0,t +45503,100%,Nicaragua,2.0,f +19512,,Uganda,1.0,t +3086,,,2.0,t +36642,100%,Holy See (Vatican City State),4.0,t +34402,79%,Reunion,28.0,f +31612,100%,,3.0,t +7824,100%,Monaco,2.0,t +29647,100%,Peru,1305.0,f +40945,100%,Afghanistan,1.0,t +26889,100%,Indonesia,10.0,f +42689,60%,,1.0,t +6895,100%,Denmark,1.0,f +49398,88%,Barbados,18.0,t +44024,100%,,1.0,f +10561,100%,Guinea,1.0,t +4472,80%,Pakistan,1.0,t +39940,100%,Cape Verde,3.0,f +33065,100%,Uzbekistan,6.0,f +12141,,,1.0,t +24775,97%,Montserrat,44.0,f +37144,100%,,2.0,f +2431,100%,United Kingdom,1.0,t +24775,97%,Montserrat,44.0,f +45961,100%,,1.0,f +24775,97%,Montserrat,44.0,f +48338,100%,Maldives,4.0,t +4185,100%,Russian Federation,1.0,t +42740,100%,Canada,3.0,f +41671,100%,Kenya,2.0,t +42740,100%,Canada,3.0,f +12702,,China,3.0,f +36958,100%,Papua New Guinea,2.0,t +29225,,,1.0,f +20305,70%,United Kingdom,1.0,t +19411,,Nauru,1.0,f +39015,,Montserrat,1.0,f +13756,100%,Guinea,3.0,f +35641,,Netherlands,15.0,t +47910,,Guinea,1.0,t +10835,,Niger,1.0,f +24482,100%,,1.0,f +44618,100%,,1.0,t +35010,,Lebanon,1.0,t +35614,,Guinea,1.0,f +44625,100%,Russian Federation,2.0,f +30588,100%,Nauru,12.0,t +14297,,Chile,1.0,t +6885,,Gambia,1.0,f +42812,,Uganda,1.0,f +30588,100%,Nauru,12.0,t +30588,100%,Nauru,12.0,t +14835,100%,,3.0,t +25207,100%,,9.0,t +40029,90%,Niger,2.0,t +13417,100%,Pakistan,8.0,t +35068,100%,France,3.0,t +35191,,Jersey,1.0,f +44715,,,1.0,f +24983,,,1.0,t +28365,,China,4.0,t +13050,,,1.0,t +41553,100%,Tonga,2.0,f +34202,,,1.0,t +6196,25%,Malta,2.0,t +45583,100%,,3.0,f +44224,100%,Marshall Islands,1.0,f +47906,,Puerto Rico,1.0,f +35442,,Russian Federation,14.0,f +6196,25%,Malta,2.0,t +11036,,Maldives,1.0,f +44828,,France,1.0,f +13630,,Faroe Islands,1.0,t +17269,100%,Maldives,5.0,t +31964,100%,Russian Federation,1.0,f +44311,,,1.0,f +26206,100%,Mexico,3.0,f +30519,100%,,1.0,t +27387,96%,Tonga,5.0,f +5204,100%,Denmark,1.0,f +30374,100%,Guinea,1.0,t +9136,,,1.0,t +833,,Rwanda,1.0,f +41338,,,1.0,t +29069,,Puerto Rico,1.0,f +8678,100%,Saint Helena,2.0,t +48034,,Faroe Islands,1.0,t +21439,,Faroe Islands,1.0,t +35261,,Tonga,1.0,f +44553,100%,,1.0,t +22858,,,1.0,t +31600,,Papua New Guinea,1.0,f +25912,100%,Svalbard & Jan Mayen Islands,1.0,f +8225,95%,Barbados,31.0,f +13244,100%,Svalbard & Jan Mayen Islands,1.0,f +45737,,Tonga,29.0,t +45737,,Tonga,29.0,t +9948,,Ukraine,2.0,t +17211,100%,,2.0,t +3001,,Zimbabwe,1.0,f +25440,,Indonesia,4.0,t +31819,,Zimbabwe,1.0,t +40558,100%,,2.0,f +19421,,,1.0,f +19682,100%,Faroe Islands,15.0,t +10425,,Lebanon,1.0,f +5355,,,1.0,f +42432,63%,,2.0,f +12991,,,2.0,t +6706,100%,Lebanon,1.0,t +27290,100%,Brazil,3.0,f +28585,,Uzbekistan,1.0,t +887,,Turkmenistan,1.0,f +33442,100%,Holy See (Vatican City State),2.0,f +29555,,Christmas Island,1.0,t +1806,,Sao Tome and Principe,1.0,f +26688,67%,Jersey,1.0,t +42258,,Vanuatu,1.0,t +30475,92%,Vietnam,40.0,f +23440,,Chad,1.0,t +12613,,Gibraltar,2.0,t +4838,,,1.0,t +40102,100%,Turks and Caicos Islands,2.0,f +21534,,Russian Federation,1.0,f +21308,,Bosnia and Herzegovina,1.0,f +38119,,,1.0,t +15961,,Tonga,1.0,t +17596,,Maldives,1.0,t +4192,,Nicaragua,4.0,f +13889,,,1.0,f +11981,,French Guiana,1.0,f +34679,100%,Niger,2.0,t +25291,58%,Gibraltar,3.0,t +38433,100%,,1.0,t +11473,100%,,1.0,t +7717,100%,,1.0,f +13018,100%,Guernsey,4.0,t +44409,,Russian Federation,1.0,f +24730,,,1.0,f +22758,,,1.0,f +9275,100%,Papua New Guinea,1.0,f +36663,,Ghana,5.0,t +23976,,,1.0,t +43490,,Guinea,1.0,t +8068,100%,Cuba,1.0,t +13587,,Niger,2.0,t +982,99%,Marshall Islands,32.0,f +47604,95%,Uzbekistan,4.0,t +9826,,Palestinian Territory,2.0,f +29930,,Russian Federation,1.0,f +43269,100%,Grenada,1.0,f +45840,100%,Mauritania,2.0,t +23185,,,1.0,f +48852,60%,Rwanda,3.0,t +12517,,Lebanon,3.0,t +30588,100%,Nauru,12.0,t +42347,,Jersey,1.0,t +20329,100%,Reunion,21.0,f +27119,94%,Nicaragua,10.0,t +37205,100%,Kiribati,3.0,t +28075,,Niue,1.0,f +7224,,Brunei Darussalam,1.0,t +15971,100%,Anguilla,2.0,t +43641,100%,,3.0,t +47741,,Uzbekistan,1.0,f +24460,,,2.0,t +28828,100%,Isle of Man,198.0,t +31288,100%,Isle of Man,1.0,f +34726,90%,,2.0,t +42871,100%,Reunion,1.0,t +11567,100%,Niger,31.0,t +31167,100%,Sao Tome and Principe,1.0,f +21883,,Bahrain,11.0,t +8356,100%,Togo,2.0,t +28561,100%,Ukraine,1.0,f +41778,100%,,1.0,f +37952,100%,Congo,3.0,t +33743,100%,Denmark,2.0,f +8819,,,3.0,f +1048,0%,,1.0,f +11567,100%,Niger,31.0,t +30504,90%,Afghanistan,2.0,f +30428,100%,Turkmenistan,1.0,t +49097,67%,Niger,5.0,t +31554,100%,Marshall Islands,1.0,t +34851,100%,,4.0,f +18480,90%,Monaco,4.0,t +24501,100%,Andorra,2.0,t +26868,100%,Mauritania,1.0,t +30750,,,3.0,t +23565,100%,Slovakia (Slovak Republic),6.0,t +13967,100%,Malta,1.0,t +28009,,,1.0,f +31382,,,1.0,f +17110,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +10000,,Micronesia,1.0,t +20987,100%,,1.0,f +30140,100%,Lebanon,4.0,t +5997,100%,Kenya,3.0,t +11567,100%,Niger,31.0,t +5233,100%,Montserrat,6.0,t +38290,100%,Gambia,1.0,f +25835,100%,Turks and Caicos Islands,1.0,f +18526,100%,,2.0,f +10385,,United Kingdom,1.0,f +22545,100%,,2.0,f +31955,,Gambia,1.0,t +34180,100%,,1.0,t +48151,,,1.0,f +11253,,Ghana,7.0,f +9754,100%,Brazil,6.0,f +21510,100%,,1.0,f +22296,,Jersey,1.0,f +19984,100%,Ecuador,14.0,t +40018,90%,Slovakia (Slovak Republic),1.0,t +49571,,Portugal,1.0,f +30764,100%,Slovakia (Slovak Republic),8.0,t +18164,100%,Marshall Islands,5.0,f +23686,,,1.0,t +21136,100%,Mauritania,1.0,f +28763,67%,Rwanda,2.0,f +27151,100%,Netherlands Antilles,1.0,t +15042,,Faroe Islands,1.0,f +24819,100%,Palestinian Territory,2.0,t +31404,100%,Maldives,2.0,t +15523,100%,,2.0,f +42594,,Guinea,3.0,f +38591,0%,,1.0,f +21573,100%,Kiribati,1.0,f +10916,100%,,1.0,t +9754,100%,Brazil,6.0,f +38220,,,1.0,f +39350,,,1.0,f +45375,,,1.0,t +30924,,Sao Tome and Principe,7.0,t +7770,,Russian Federation,1.0,t +3264,100%,Niue,1.0,t +29184,,Jersey,1.0,t +45138,79%,Barbados,14.0,f +48409,,Estonia,60.0,t +24141,,,1.0,t +4860,,,1.0,f +26309,,,1.0,t +45154,100%,Lebanon,2.0,t +2085,,Russian Federation,1.0,f +21554,83%,Philippines,3.0,t +48372,100%,Barbados,12.0,t +19271,100%,Jersey,11.0,f +19271,100%,Jersey,11.0,f +11253,,Ghana,7.0,f +29647,100%,Peru,1305.0,f +398,,Uzbekistan,1.0,t +28607,90%,Isle of Man,1.0,t +5257,,Russian Federation,1.0,t +29647,100%,Peru,1305.0,f +8819,,,3.0,f +4793,100%,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20169,100%,Niue,2.0,f +4735,100%,,2.0,f +38719,,,2.0,t +19271,100%,Jersey,11.0,f +6590,,Maldives,2.0,f +5618,,,1.0,f +30373,100%,Gambia,2.0,t +5273,,Slovakia (Slovak Republic),2.0,t +22000,,,1.0,t +22692,,Maldives,3.0,f +14728,0%,Philippines,4.0,t +14047,100%,Philippines,4.0,f +9749,100%,Marshall Islands,1.0,t +6130,,Lebanon,1.0,f +27532,,,1.0,t +9926,100%,Uganda,19.0,f +7757,100%,Reunion,1.0,t +20334,99%,Niger,171.0,t +21192,,Russian Federation,1.0,f +5455,,Sao Tome and Principe,1.0,t +26889,100%,Indonesia,10.0,f +33406,100%,Reunion,4.0,f +5351,,Marshall Islands,1.0,f +28365,,China,4.0,t +2549,100%,Russian Federation,3.0,f +20334,99%,Niger,171.0,t +2469,67%,,1.0,t +18120,100%,,1.0,t +36370,100%,Puerto Rico,1.0,f +25412,100%,,2.0,f +15004,100%,Uzbekistan,88.0,f +46087,,Sao Tome and Principe,1.0,f +30308,,,1.0,t +49599,100%,Monaco,4.0,t +48840,100%,Uzbekistan,9.0,f +22785,100%,,3.0,f +27752,100%,Zimbabwe,2.0,f +23510,100%,Malta,3.0,f +13147,100%,Marshall Islands,2.0,t +7227,100%,Senegal,1.0,f +43416,100%,Costa Rica,1.0,t +12880,100%,Chile,1.0,f +44001,,France,1.0,t +7334,,,1.0,f +10715,90%,,1.0,t +3501,,Isle of Man,1.0,t +18885,70%,El Salvador,7.0,t +20060,,Guernsey,5.0,t +12784,100%,Malta,1.0,f +1891,,,1.0,f +34851,100%,,4.0,f +33960,,,1.0,t +45919,100%,Montserrat,9.0,t +6236,100%,,3.0,t +16883,,,2.0,f +39592,100%,,1.0,t +50074,100%,Montserrat,8.0,f +32248,,Malta,1.0,t +41662,,,1.0,t +19271,100%,Jersey,11.0,f +49652,,,1.0,t +33627,89%,Gambia,3.0,t +2715,,,2.0,t +9253,100%,Faroe Islands,2.0,f +121,,United Kingdom,1.0,f +41548,,Chile,2.0,t +379,50%,Guinea,1.0,f +39356,100%,Malta,2.0,t +1842,,Tanzania,1.0,t +47908,100%,China,1.0,f +30339,,Croatia,1.0,t +10713,80%,El Salvador,1.0,f +17890,100%,France,1.0,f +17755,100%,Indonesia,1.0,t +42939,,Finland,1.0,t +45492,100%,Mauritania,2.0,f +48894,,Jersey,1.0,t +4012,,French Polynesia,1.0,f +16310,100%,Montserrat,2.0,f +414,100%,Uganda,17.0,t +36271,,Sao Tome and Principe,2.0,t +2785,,Gibraltar,1.0,f +414,100%,Uganda,17.0,t +19087,100%,Estonia,2.0,t +31505,100%,Indonesia,1.0,f +2913,100%,,1.0,t +2811,,Peru,2.0,t +982,99%,Marshall Islands,32.0,f +4517,100%,El Salvador,3.0,t +34458,90%,Kiribati,4.0,t +26286,,,1.0,t +16310,100%,Montserrat,2.0,f +982,99%,Marshall Islands,32.0,f +3420,,,1.0,t +3134,100%,Libyan Arab Jamahiriya,1.0,t +46816,,Turks and Caicos Islands,1.0,t +24271,,Kenya,1.0,f +40551,,Bouvet Island (Bouvetoya),3.0,t +30997,,,1.0,t +31822,100%,Faroe Islands,1.0,f +6403,,,1.0,t +43797,90%,,6.0,t +14914,90%,,1.0,t +28476,,Chile,1.0,t +38984,90%,,1.0,t +38042,,Uzbekistan,2.0,t +132,100%,,1.0,t +15650,100%,Sao Tome and Principe,2.0,f +22739,100%,Gambia,3.0,t +30481,100%,Slovakia (Slovak Republic),2.0,t +8637,100%,,1.0,f +27197,,Russian Federation,1.0,f +44633,,Gambia,2.0,t +44633,,Gambia,2.0,t +2783,100%,Afghanistan,1.0,t +39930,,,1.0,f +32579,,Nicaragua,1.0,f +36515,100%,Slovakia (Slovak Republic),3.0,t +36515,100%,Slovakia (Slovak Republic),3.0,t +36515,100%,Slovakia (Slovak Republic),3.0,t +982,99%,Marshall Islands,32.0,f +23671,,,1.0,t +982,99%,Marshall Islands,32.0,f +982,99%,Marshall Islands,32.0,f +982,99%,Marshall Islands,32.0,f +34402,79%,Reunion,28.0,f +1307,33%,Brazil,1.0,t +15004,100%,Uzbekistan,88.0,f +8819,,,3.0,f +30638,,,1.0,t +15832,0%,Denmark,1.0,f +31832,,Cocos (Keeling) Islands,3.0,f +29988,,French Guiana,5.0,t +982,99%,Marshall Islands,32.0,f +31832,,Cocos (Keeling) Islands,3.0,f +982,99%,Marshall Islands,32.0,f +42359,100%,,1.0,f +982,99%,Marshall Islands,32.0,f +982,99%,Marshall Islands,32.0,f +46416,,,1.0,f +44320,,,1.0,f +982,99%,Marshall Islands,32.0,f +8453,100%,Rwanda,6.0,t +23955,,Canada,1.0,f +6741,80%,Nicaragua,2.0,t +982,99%,Marshall Islands,32.0,f +982,99%,Marshall Islands,32.0,f +44377,100%,Malta,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +982,99%,Marshall Islands,32.0,f +23196,100%,Guinea,4.0,t +982,99%,Marshall Islands,32.0,f +982,99%,Marshall Islands,32.0,f +28757,78%,Uzbekistan,1.0,t +35255,89%,Micronesia,1.0,t +982,99%,Marshall Islands,32.0,f +42983,100%,Costa Rica,2.0,t +6674,,Tonga,2.0,t +18077,100%,Sao Tome and Principe,139.0,f +45919,100%,Montserrat,9.0,t +10831,100%,Turkmenistan,3.0,f +37430,,,1.0,f +23888,90%,Netherlands,1.0,t +19233,,Vanuatu,1.0,t +20891,100%,Niue,2.0,t +35369,100%,Kenya,1.0,f +30192,,Uzbekistan,1.0,t +41587,,China,1.0,t +28461,,Australia,1.0,f +34705,,Sao Tome and Principe,1.0,f +14301,100%,,1.0,f +41344,100%,,1.0,t +37040,,Tonga,1.0,f +45539,,Marshall Islands,2.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +33495,,Afghanistan,1.0,f +948,,,1.0,f +42517,,Kenya,1.0,t +20329,100%,Reunion,21.0,f +18030,100%,,1.0,f +10734,100%,Niue,2.0,t +42699,,Fiji,1.0,f +2385,100%,,1.0,f +21344,,,1.0,t +20280,,,3.0,t +45845,,,1.0,f +20280,,,3.0,t +619,,Brazil,1.0,f +33697,,Nicaragua,1.0,f +9977,,Sao Tome and Principe,3.0,f +42885,,,1.0,f +37485,100%,,1.0,t +18151,,French Guiana,1.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +26778,100%,Kiribati,2.0,f +48581,,Montserrat,8.0,t +1687,,,1.0,f +13129,,Tonga,3.0,f +41034,,,1.0,f +22591,100%,,1.0,t +18360,,Chad,1.0,f +34910,,,1.0,t +36132,,Malawi,1.0,t +25972,,,1.0,f +6224,100%,Wallis and Futuna,2.0,t +15507,100%,Micronesia,2.0,f +21883,,Bahrain,11.0,t +30911,100%,United Kingdom,1.0,f +6532,100%,Russian Federation,2.0,t +6532,100%,Russian Federation,2.0,t +13053,100%,Mauritania,1.0,t +23480,100%,,3.0,t +17680,,Malta,1.0,t +27519,100%,Ghana,4.0,f +7715,100%,Montserrat,3.0,f +12960,100%,Indonesia,9.0,f +20329,100%,Reunion,21.0,f +19400,100%,Gibraltar,7.0,f +35671,,Tonga,1.0,t +11988,,Malawi,1.0,t +27109,,Uganda,2.0,t +25128,100%,Barbados,5.0,t +16900,,,7.0,f +26407,,,1.0,t +16900,,,7.0,f +26870,80%,Sao Tome and Principe,2.0,t +16900,,,7.0,f +2052,100%,,2.0,t +26045,100%,Kiribati,4.0,t +15863,,Vanuatu,1.0,t +43574,,,1.0,f +2323,67%,Turkmenistan,1.0,f +40669,100%,Chad,3.0,f +29978,89%,Uzbekistan,26.0,f +32882,,Turks and Caicos Islands,2.0,f +24460,,,2.0,t +28828,100%,Isle of Man,198.0,t +47564,,,1.0,t +33886,,Gambia,9.0,t +38406,96%,Russian Federation,6.0,t +33886,,Gambia,9.0,t +28542,100%,Isle of Man,1.0,f +12960,100%,Indonesia,9.0,f +45378,,Kiribati,1.0,t +12960,100%,Indonesia,9.0,f +12960,100%,Indonesia,9.0,f +34457,81%,,3.0,t +12960,100%,Indonesia,9.0,f +34457,81%,,3.0,t +9771,100%,Bosnia and Herzegovina,7.0,t +23318,100%,Lebanon,1.0,t +38306,100%,France,2.0,t +34578,,Zimbabwe,1.0,f +31579,,United Kingdom,2.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +23623,100%,Montserrat,11.0,t +36088,100%,Niue,2.0,f +12960,100%,Indonesia,9.0,f +24118,98%,Ghana,21.0,t +12960,100%,Indonesia,9.0,f +3137,100%,French Guiana,1.0,f +38797,,Malta,1.0,t +42779,,,2.0,f +9316,100%,,1.0,f +39501,100%,,1.0,t +23196,100%,Guinea,4.0,t +39939,100%,Papua New Guinea,1.0,f +11947,100%,,2.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +29062,100%,,1.0,f +35989,100%,,1.0,f +38906,,Malawi,1.0,t +414,100%,Uganda,17.0,t +37892,100%,,1.0,t +26230,,France,3.0,f +24427,100%,,2.0,t +20183,100%,,1.0,t +18911,100%,,1.0,t +9225,,Sao Tome and Principe,2.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +414,100%,Uganda,17.0,t +15004,100%,Uzbekistan,88.0,f +37293,92%,Russian Federation,15.0,f +15004,100%,Uzbekistan,88.0,f +9516,99%,Pakistan,45.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +31772,,Bouvet Island (Bouvetoya),2.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +27519,100%,Ghana,4.0,f +20542,80%,Kenya,7.0,t +13121,,Djibouti,1.0,t +15869,50%,Lebanon,1.0,t +17269,100%,Maldives,5.0,t +38309,,,1.0,f +11585,,Maldives,1.0,t +33795,100%,Monaco,1.0,f +35626,,Gambia,1.0,t +28998,,Cape Verde,1.0,t +2462,100%,,1.0,t +19718,100%,Turks and Caicos Islands,10.0,f +19718,100%,Turks and Caicos Islands,10.0,f +28275,100%,,2.0,f +26391,100%,Guinea,1.0,t +46745,100%,,1.0,f +16432,100%,,2.0,t +43557,,Switzerland,2.0,t +5601,,,1.0,t +6628,100%,Micronesia,1.0,f +38113,100%,Marshall Islands,2.0,t +49941,100%,Gambia,1.0,f +10658,80%,Wallis and Futuna,2.0,f +17440,,,1.0,t +8673,,Russian Federation,1.0,f +35961,100%,United Kingdom,1.0,t +34665,,,1.0,f +30109,,Russian Federation,2.0,f +11980,,French Guiana,1.0,t +2554,,Cuba,1.0,f +8227,,Marshall Islands,2.0,t +22260,,Lebanon,1.0,f +43237,40%,Montserrat,24.0,f +44043,,,1.0,f +3863,100%,Niue,1.0,t +9159,100%,Faroe Islands,1.0,f +43404,,,2.0,f +11665,100%,,1.0,t +14560,100%,Barbados,2.0,f +12772,100%,Niger,1.0,f +11641,100%,Guinea,2.0,t +28770,,,1.0,t +25019,,Malta,3.0,f +9839,,Turkmenistan,1.0,t +23169,,Holy See (Vatican City State),1.0,t +30214,100%,,10.0,t +37408,91%,Papua New Guinea,5.0,t +23822,,Ghana,1.0,f +28828,100%,Isle of Man,198.0,t +708,100%,Gambia,2.0,f +708,100%,Gambia,2.0,f +41516,,Russian Federation,1.0,f +2298,83%,Korea,1.0,f +47602,97%,Puerto Rico,18.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +20968,100%,,2.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +15123,100%,,1.0,t +20329,100%,Reunion,21.0,f +6749,,Portugal,1.0,f +5049,100%,Sao Tome and Principe,15.0,t +41037,100%,El Salvador,2.0,t +21331,100%,Holy See (Vatican City State),1.0,f +45965,100%,Estonia,8.0,f +28175,,,1.0,f +26191,100%,Bosnia and Herzegovina,1.0,t +8764,,Maldives,4.0,t +15004,100%,Uzbekistan,88.0,f +30886,100%,Montserrat,1.0,t +15004,100%,Uzbekistan,88.0,f +39366,100%,Ghana,3.0,t +142,100%,,3.0,f +15004,100%,Uzbekistan,88.0,f +36695,100%,Turks and Caicos Islands,1.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +33348,,,1.0,t +47602,97%,Puerto Rico,18.0,f +44299,100%,Jersey,1.0,t +15004,100%,Uzbekistan,88.0,f +24477,,Micronesia,1.0,f +15004,100%,Uzbekistan,88.0,f +19038,100%,Lebanon,3.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +15004,100%,Uzbekistan,88.0,f +32084,100%,,1.0,t +19038,100%,Lebanon,3.0,t +42734,100%,Senegal,1.0,f +33837,,Nicaragua,2.0,t +15913,,Cuba,1.0,f +40366,97%,Micronesia,14.0,t +22263,,Chile,1.0,t +14989,,,1.0,t +15703,,,4.0,f +43042,100%,Niue,3.0,f +47995,,Maldives,2.0,t +41596,100%,United Kingdom,1.0,t +33416,100%,,1.0,t +4432,100%,Wallis and Futuna,18.0,f +9811,,Guernsey,1.0,f +10193,,France,1.0,t +901,83%,United Kingdom,1.0,f +6811,100%,Monaco,3.0,f +18926,100%,,1.0,t +50029,,,1.0,t +17215,97%,Maldives,9.0,f +13674,90%,Fiji,2.0,t +13423,,Barbados,1.0,t +18231,93%,Uganda,7.0,t +46860,,Guinea,1.0,f +27649,100%,Kiribati,4.0,t +37366,,,1.0,t +27519,100%,Ghana,4.0,f +36138,,Lebanon,1.0,t +15467,,United Kingdom,2.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +28151,,Sao Tome and Principe,1.0,f +28210,100%,,1.0,t +27519,100%,Ghana,4.0,f +47602,97%,Puerto Rico,18.0,f +45106,,Kenya,1.0,f +47602,97%,Puerto Rico,18.0,f +12960,100%,Indonesia,9.0,f +4734,100%,Mauritania,1.0,f +6466,100%,,2.0,f +47602,97%,Puerto Rico,18.0,f +47602,97%,Puerto Rico,18.0,f +36247,100%,Chad,1.0,t +47602,97%,Puerto Rico,18.0,f +47602,97%,Puerto Rico,18.0,f +38787,,Faroe Islands,10.0,f +4197,100%,,1.0,f +47602,97%,Puerto Rico,18.0,f +47602,97%,Puerto Rico,18.0,f +5549,100%,Libyan Arab Jamahiriya,1.0,t +12123,80%,Puerto Rico,8.0,t +36953,100%,Sao Tome and Principe,1.0,f +12123,80%,Puerto Rico,8.0,t +12123,80%,Puerto Rico,8.0,t +10711,93%,Uganda,108.0,t +1863,,Denmark,1.0,t +25372,78%,Brazil,1.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +4667,100%,Marshall Islands,2.0,f +582,100%,Turkmenistan,2.0,f +33065,100%,Uzbekistan,6.0,f +45620,100%,Slovakia (Slovak Republic),1.0,t +36483,,,1.0,f +25534,90%,Indonesia,5.0,t +34762,100%,Isle of Man,3.0,t +18077,100%,Sao Tome and Principe,139.0,f +15739,,,1.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +12813,100%,Mauritania,2.0,t +24570,88%,,1.0,t +42738,100%,,1.0,t +31802,100%,New Zealand,5.0,t +582,100%,Turkmenistan,2.0,f +29258,100%,Barbados,1.0,f +23270,100%,Indonesia,4.0,f +26921,98%,Nicaragua,6.0,t +14048,100%,Finland,6.0,t +40361,100%,Sao Tome and Principe,4.0,t +38420,90%,Christmas Island,8.0,f +36869,100%,Faroe Islands,1.0,f +22274,,,1.0,f +49957,,Zimbabwe,3.0,t +42678,,Sao Tome and Principe,1.0,t +45277,100%,Niue,1.0,f +29978,89%,Uzbekistan,26.0,f +29492,40%,,1.0,f +32660,0%,Rwanda,1.0,f +29978,89%,Uzbekistan,26.0,f +11290,100%,Reunion,12.0,f +29978,89%,Uzbekistan,26.0,f +40220,,Tonga,3.0,f +22367,100%,Canada,3.0,t +29647,100%,Peru,1305.0,f +29978,89%,Uzbekistan,26.0,f +29978,89%,Uzbekistan,26.0,f +5172,,,1.0,f +41222,,Congo,3.0,t +15168,100%,Venezuela,2.0,f +1581,,Kiribati,1.0,f +5312,100%,,1.0,t +38835,100%,,4.0,t +3616,100%,Cape Verde,14.0,t +44192,,,2.0,f +40669,100%,Chad,3.0,f +40669,100%,Chad,3.0,f +45337,90%,Tonga,3.0,f +27569,83%,Vanuatu,1.0,t +27955,0%,Tonga,1.0,f +44073,100%,Togo,2.0,t +13073,,Isle of Man,1.0,f +42896,,Lithuania,1.0,f +39109,77%,Ukraine,24.0,t +7647,,Brazil,1.0,t +29007,,Maldives,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +11290,100%,Reunion,12.0,f +5293,100%,,1.0,t +37344,80%,Niue,1.0,t +16728,100%,,3.0,t +23196,100%,Guinea,4.0,t +29065,100%,Peru,2.0,t +39131,100%,Lithuania,4.0,t +11290,100%,Reunion,12.0,f +12482,0%,,1.0,t +32098,100%,Togo,1.0,f +14802,,Faroe Islands,2.0,t +45307,100%,,1.0,t +5931,100%,Reunion,2.0,t +3573,,Mauritania,2.0,f +7665,100%,Russian Federation,1.0,t +13962,100%,Bouvet Island (Bouvetoya),2.0,f +44794,100%,,2.0,f +19958,100%,Congo,40.0,t +43373,100%,Indonesia,2.0,f +8106,,,1.0,f +21951,100%,,2.0,t +38858,100%,Zimbabwe,2.0,f +42458,97%,Indonesia,14.0,t +18293,,Jersey,1.0,t +36524,100%,Saint Helena,8.0,t +23567,100%,Guinea,2.0,t +11350,,,1.0,t +4276,100%,Gibraltar,1.0,f +46954,,,1.0,t +5663,,Russian Federation,8.0,t +15039,90%,Maldives,1.0,f +35057,,French Polynesia,1.0,f +38726,100%,Guinea,2.0,t +44157,,Rwanda,6.0,t +46842,75%,Portugal,13.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +7030,100%,Guernsey,6.0,f +25160,75%,Gibraltar,1.0,t +29647,100%,Peru,1305.0,f +47355,,,2.0,f +1658,,,1.0,t +46910,,,1.0,t +42047,,,1.0,f +24736,100%,Isle of Man,1.0,t +44029,,,1.0,t +35901,100%,Ecuador,2.0,t +22011,100%,Tanzania,1.0,f +7202,,,1.0,f +44288,100%,,2.0,t +5248,,Puerto Rico,1.0,f +44279,,Tonga,2.0,f +36643,98%,Maldives,17.0,f +4089,,,1.0,f +16868,100%,,1.0,t +8796,100%,Somalia,3.0,t +26862,100%,Chad,3.0,t +41022,100%,Cape Verde,3.0,t +11975,100%,,1.0,t +44465,,Tonga,1.0,f +28216,,,4.0,t +4330,94%,Ukraine,60.0,t +36973,100%,,1.0,t +45644,100%,Malawi,1.0,t +25855,,Maldives,1.0,t +11925,,,1.0,t +48864,100%,Micronesia,1.0,f +8287,,Kiribati,1.0,t +47820,,Kenya,1.0,t +16263,,Isle of Man,2.0,f +49008,100%,Libyan Arab Jamahiriya,1.0,t +44386,100%,Tonga,1.0,f +35221,100%,Turks and Caicos Islands,30.0,t +19021,100%,,1.0,f +31406,,Indonesia,1.0,f +40881,,Sao Tome and Principe,1.0,t +17430,,,1.0,f +46928,,Tanzania,1.0,t +26844,100%,,6.0,f +4192,,Nicaragua,4.0,f +4192,,Nicaragua,4.0,f +37218,100%,Slovakia (Slovak Republic),4.0,t +16041,90%,,1.0,f +48633,75%,Lebanon,2.0,f +11902,,Micronesia,1.0,f +21163,100%,Estonia,2.0,f +9784,,,1.0,f +17370,,China,2.0,t +23214,,,1.0,t +11795,100%,,1.0,f +35073,,Chad,1.0,f +46559,100%,Malta,1.0,f +4777,,Somalia,1.0,f +30161,100%,Niger,1.0,f +35862,100%,,1.0,f +2398,100%,,1.0,t +1102,,United Kingdom,2.0,t +3505,,Bosnia and Herzegovina,1.0,t +11552,50%,France,1.0,t +47995,,Maldives,2.0,t +19226,,Jersey,1.0,t +23736,,Jersey,1.0,f +31013,,,1.0,t +27325,,,1.0,f +43186,100%,Vietnam,3.0,t +33616,100%,Kenya,4.0,t +10965,,,1.0,t +603,100%,Niue,2.0,f +38808,100%,Cape Verde,1.0,f +33616,100%,Kenya,4.0,t +31330,,Togo,1.0,f +45337,90%,Tonga,3.0,f +36223,,Niger,1.0,t +15421,,Saint Helena,2.0,t +3632,100%,Philippines,4.0,t +35537,100%,Isle of Man,4.0,t +13219,100%,Marshall Islands,1.0,f +5166,100%,Ecuador,16.0,t +5166,100%,Ecuador,16.0,t +27072,,Chile,1.0,f +4439,,Chad,3.0,t +42458,97%,Indonesia,14.0,t +30764,100%,Slovakia (Slovak Republic),8.0,t +18281,100%,Isle of Man,2.0,f +40013,100%,El Salvador,3.0,t +14611,,Sao Tome and Principe,1.0,t +35757,,Gambia,1.0,t +26844,100%,,6.0,f +26860,,,1.0,f +4405,94%,Indonesia,3.0,f +19954,100%,Uruguay,3.0,t +47674,100%,United Kingdom,1.0,f +27452,100%,Puerto Rico,3.0,t +23308,100%,Tonga,2.0,t +34460,,,1.0,f +43152,100%,Nicaragua,82.0,t +44036,100%,Somalia,1.0,t +2240,100%,,2.0,t +14725,100%,Lebanon,3.0,f +34750,,,1.0,t +10711,93%,Uganda,108.0,t +47459,100%,Zimbabwe,1.0,f +26078,,Reunion,1.0,t +23771,100%,Uganda,1.0,t +46194,100%,Tanzania,4.0,f +26632,,,2.0,f +14751,100%,,1.0,t +37504,100%,Micronesia,3.0,t +40781,100%,Guinea,5.0,f +3901,,Russian Federation,1.0,f +49057,,United Kingdom,1.0,t +14253,100%,Kenya,1.0,f +5850,,Pakistan,1.0,f +20969,50%,,1.0,t +8175,100%,,1.0,t +14781,83%,Isle of Man,1.0,t +39993,93%,China,3.0,f +22302,90%,Monaco,2.0,t +44145,100%,Rwanda,4.0,t +21721,100%,Nicaragua,8.0,t +36120,88%,Tonga,4.0,t +21427,100%,United Kingdom,8.0,t +14244,100%,,3.0,f +10263,100%,,3.0,t +32512,100%,Saint Helena,9.0,f +32306,100%,Turkmenistan,1.0,t +13885,,,1.0,f +19217,98%,Marshall Islands,46.0,f +41616,100%,Anguilla,3.0,f +3214,,Sao Tome and Principe,1.0,f +1096,,Anguilla,2.0,t +8146,100%,,1.0,t +24805,,China,2.0,t +35998,90%,,2.0,t +45162,,Maldives,20.0,f +44622,100%,Micronesia,4.0,t +12993,100%,Montserrat,3.0,t +20334,99%,Niger,171.0,t +49406,100%,Somalia,2.0,f +43990,100%,Uganda,7.0,f +13304,100%,Cocos (Keeling) Islands,2.0,f +33916,100%,Svalbard & Jan Mayen Islands,3.0,f +8947,,Montserrat,2.0,f +20334,99%,Niger,171.0,t +39640,100%,Russian Federation,1.0,t +4025,,Zimbabwe,1.0,t +11253,,Ghana,7.0,f +40015,100%,,1.0,f +40066,,Croatia,1.0,f +17215,97%,Maldives,9.0,f +10516,,Niue,1.0,f +11143,,Faroe Islands,1.0,t +48559,,,1.0,f +19087,100%,Estonia,2.0,t +20357,100%,,3.0,t +41409,100%,Isle of Man,1.0,t +45996,100%,Zimbabwe,2.0,t +22909,80%,,1.0,f +27490,100%,Cuba,1.0,f +30277,,Russian Federation,1.0,t +38306,100%,France,2.0,t +47594,100%,Kenya,17.0,t +46988,,Somalia,4.0,t +19958,100%,Congo,40.0,t +25848,100%,French Guiana,1.0,f +20564,,Turks and Caicos Islands,1.0,t +21462,100%,Guinea,4.0,t +9644,,Micronesia,1.0,f +40102,100%,Turks and Caicos Islands,2.0,f +7474,,Lebanon,1.0,f +13417,100%,Pakistan,8.0,t +36835,,Bouvet Island (Bouvetoya),1.0,f +43930,100%,Kenya,1.0,t +2924,,Puerto Rico,1.0,f +6314,100%,,2.0,f +44281,100%,,1.0,f +47355,,,2.0,f +17097,,Netherlands,1.0,t +2928,100%,Marshall Islands,3.0,t +28496,100%,Nicaragua,38.0,f +49689,100%,Niger,6.0,f +32580,,,1.0,t +39109,77%,Ukraine,24.0,t +5420,100%,Tonga,41.0,f +7386,100%,Sao Tome and Principe,1.0,f +3866,100%,Indonesia,8.0,t +35439,94%,United Kingdom,23.0,t +22609,0%,,2.0,f +35178,100%,Niue,1.0,f +29768,100%,Uganda,1.0,f +36047,100%,,6.0,t +24310,,Russian Federation,1.0,f +19143,100%,,3.0,t +43398,100%,Isle of Man,1.0,t +30842,100%,Maldives,3.0,f +33803,,Lebanon,1.0,f +17994,,Holy See (Vatican City State),1.0,t +34746,100%,,2.0,f +20103,,Nicaragua,1.0,t +18219,100%,Jersey,1.0,t +13118,70%,,2.0,f +44286,100%,,1.0,f +8550,100%,Jersey,1.0,t +17215,97%,Maldives,9.0,f +49539,100%,,1.0,t +13863,,Kiribati,1.0,f +6984,100%,Suriname,9.0,f +1760,100%,Malta,1.0,t +10558,100%,,1.0,t +1052,,Montserrat,5.0,f +32772,80%,,1.0,t +29538,100%,Guinea,1.0,t +20521,,,7.0,t +19217,98%,Marshall Islands,46.0,f +18767,100%,Marshall Islands,1.0,f +27820,100%,Tonga,2.0,t +31487,,Sao Tome and Principe,1.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +32512,100%,Saint Helena,9.0,f +37392,100%,Micronesia,7.0,t +16398,,,1.0,t +4494,94%,Barbados,3.0,t +8947,,Montserrat,2.0,f +6372,0%,Switzerland,1.0,f +33000,,Lebanon,1.0,f +49746,100%,,2.0,t +38420,90%,Christmas Island,8.0,f +40393,100%,Guinea,2.0,f +34262,100%,Niue,1.0,f +26702,100%,,1.0,t +28170,50%,,1.0,f +7483,100%,Russian Federation,2.0,f +1463,,French Guiana,1.0,f +33364,,Lebanon,1.0,f +3496,,Moldova,2.0,f +38281,,Korea,1.0,t +804,,China,1.0,f +47607,50%,,1.0,f +3391,100%,Iran,58.0,t +24071,100%,Indonesia,22.0,f +12743,100%,,1.0,f +32575,100%,Kenya,3.0,t +27267,95%,Tonga,6.0,f +1915,,,1.0,f +45546,100%,Cape Verde,19.0,t +12121,75%,Nauru,1.0,f +7917,100%,,1.0,f +24772,90%,Denmark,10.0,f +13971,,Chad,1.0,t +36213,,,1.0,f +6286,71%,,1.0,t +31901,100%,Gibraltar,1.0,f +18576,,Christmas Island,2.0,t +29659,,Tonga,1.0,f +28674,100%,Russian Federation,2.0,t +6643,,Guernsey,1.0,f +3985,,Faroe Islands,1.0,f +7225,,Marshall Islands,1.0,t +22465,100%,Denmark,1.0,t +13534,,Christmas Island,2.0,f +31003,,Niue,3.0,t +38520,100%,Malta,1.0,t +48204,,Montserrat,1.0,t +32983,,,1.0,f +12757,100%,,1.0,t +4236,,Costa Rica,1.0,f +27907,100%,Puerto Rico,21.0,f +27795,,Nicaragua,1.0,f +10128,,,1.0,t +29519,100%,France,1.0,t +39135,,Niger,1.0,f +21580,100%,,3.0,f +35949,,French Guiana,2.0,t +1886,,,1.0,t +39451,100%,,2.0,t +17753,,Guinea,1.0,f +12187,,,1.0,f +39262,80%,,1.0,f +21713,,Svalbard & Jan Mayen Islands,1.0,f +26541,100%,Nicaragua,12.0,f +28275,100%,,2.0,f +49406,100%,Somalia,2.0,f +4315,100%,,2.0,t +40805,90%,Uzbekistan,2.0,f +18759,,,1.0,f +45516,60%,French Guiana,2.0,f +37246,,Malta,1.0,t +41218,100%,,1.0,t +21458,,,1.0,f +50020,100%,Somalia,2.0,f +42071,,Lebanon,1.0,f +25547,,Costa Rica,1.0,f +39649,100%,Uzbekistan,2.0,t +30007,,Niue,2.0,t +31908,75%,San Marino,1.0,t +32982,,Togo,2.0,f +32927,,Peru,1.0,t +11798,,French Guiana,1.0,t +40762,92%,Niue,2.0,t +31897,100%,French Polynesia,1.0,f +15279,,Afghanistan,22.0,t +23284,100%,,1.0,t +8858,100%,El Salvador,1.0,t +9698,,Malta,1.0,f +5534,,,1.0,f +17227,,Micronesia,1.0,f +18513,,,1.0,t +14325,,Maldives,2.0,t +42398,100%,Gambia,1.0,f +11335,100%,Montserrat,3.0,t +28475,,Nicaragua,1.0,f +32315,100%,,1.0,f +43954,86%,,1.0,f +19401,100%,France,5.0,f +29287,100%,Indonesia,2.0,t +5586,0%,,1.0,t +30109,,Russian Federation,2.0,f +35803,100%,Jersey,2.0,f +23139,,Niger,2.0,t +41741,100%,Brazil,9.0,t +25971,75%,,1.0,f +46310,100%,,1.0,f +32116,88%,,3.0,t +18985,100%,Philippines,2.0,f +4847,100%,Indonesia,3.0,t +20342,,,1.0,f +3142,100%,,1.0,t +33,,,1.0,t +24334,100%,,1.0,t +23743,,,1.0,f +43122,100%,Sao Tome and Principe,1.0,f +30422,,,1.0,t +22721,100%,Ecuador,109.0,f +31736,,Chile,1.0,t +16406,100%,Bouvet Island (Bouvetoya),16.0,f +11103,72%,Russian Federation,3.0,f +8995,,,1.0,t +48814,,,1.0,f +16240,100%,Tanzania,2.0,t +33550,100%,Guinea,1.0,t +39569,,,1.0,t +40626,93%,United Kingdom,5.0,t +953,100%,,1.0,f +8861,100%,Tunisia,2.0,t +35454,100%,China,9.0,f +21933,90%,Niue,2.0,t +30791,,Lebanon,1.0,t +32402,100%,,1.0,f +50063,100%,Gambia,1.0,t +9516,99%,Pakistan,45.0,t +2063,100%,Senegal,1.0,t +68,,,1.0,f +20334,99%,Niger,171.0,t +44730,100%,,2.0,f +13212,100%,Zimbabwe,12.0,t +4042,,,1.0,f +32378,90%,China,6.0,t +8191,100%,Mauritania,8.0,f +18671,,,1.0,t +196,60%,,1.0,f +34929,100%,Vanuatu,1.0,f +30370,,,1.0,t +20329,100%,Reunion,21.0,f +43670,,Monaco,2.0,f +42960,,Kiribati,1.0,f +38936,90%,Isle of Man,1.0,t +10244,100%,Philippines,10.0,f +48470,90%,Pakistan,4.0,f +32512,100%,Saint Helena,9.0,f +32512,100%,Saint Helena,9.0,f +35641,,Netherlands,15.0,t +14036,100%,Micronesia,4.0,f +38909,100%,Nicaragua,1.0,t +9516,99%,Pakistan,45.0,t +32512,100%,Saint Helena,9.0,f +47362,,Russian Federation,1.0,t +36541,0%,,1.0,f +672,100%,,1.0,t +46780,,,1.0,t +48272,,French Guiana,1.0,t +23654,100%,Uzbekistan,23.0,f +4170,,French Guiana,1.0,f +32534,,Russian Federation,1.0,f +19928,60%,Finland,1.0,f +23347,100%,Anguilla,1.0,f +29965,100%,Russian Federation,3.0,f +28015,100%,Maldives,3.0,f +1577,100%,Peru,8.0,t +27112,,,1.0,t +2716,,French Guiana,1.0,f +42349,,Togo,1.0,f +37646,100%,Estonia,60.0,f +35439,94%,United Kingdom,23.0,t +42178,,Niue,1.0,t +19795,100%,Estonia,8.0,f +1457,,,1.0,f +43980,,Croatia,1.0,t +19491,100%,Vietnam,1.0,t +10883,100%,Niger,8.0,t +28828,100%,Isle of Man,198.0,t +17194,100%,Micronesia,1.0,f +35439,94%,United Kingdom,23.0,t +23654,100%,Uzbekistan,23.0,f +44882,,,1.0,f +23654,100%,Uzbekistan,23.0,f +46358,100%,Saint Helena,1.0,t +23654,100%,Uzbekistan,23.0,f +23654,100%,Uzbekistan,23.0,f +40860,,Malta,1.0,f +10960,100%,Micronesia,1.0,f +36769,,Russian Federation,1.0,t +4462,100%,,1.0,f +23287,,Gambia,1.0,f +30069,,,1.0,t +11079,100%,,1.0,f +12432,,,2.0,f +35147,95%,Mauritania,5.0,t +37110,100%,Afghanistan,2.0,f +27649,100%,Kiribati,4.0,t +4620,100%,,4.0,t +36808,100%,Mexico,2.0,t +3774,100%,Nicaragua,3.0,f +14036,100%,Micronesia,4.0,f +14036,100%,Micronesia,4.0,f +36502,70%,,2.0,f +26770,,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +43826,,Chile,1.0,f +15770,100%,Cuba,2.0,t +4705,,China,2.0,t +3793,,Kiribati,1.0,t +23321,100%,Isle of Man,1.0,t +34025,,Nicaragua,6.0,f +9516,99%,Pakistan,45.0,t +31697,,Marshall Islands,1.0,f +20888,,,1.0,t +35221,100%,Turks and Caicos Islands,30.0,t +10132,,,1.0,t +22513,90%,Jersey,4.0,t +22513,90%,Jersey,4.0,t +12548,90%,Togo,3.0,t +11264,,Sao Tome and Principe,2.0,f +10711,93%,Uganda,108.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +17580,,Chad,1.0,t +30589,,Lebanon,1.0,t +46872,100%,Nicaragua,9.0,f +7440,,,1.0,t +34751,,Sao Tome and Principe,1.0,t +8225,95%,Barbados,31.0,f +19682,100%,Faroe Islands,15.0,t +34796,,,1.0,f +33198,100%,Mauritania,12.0,f +8796,100%,Somalia,3.0,t +22787,,,1.0,f +19622,,,1.0,f +16716,,,1.0,f +43508,,Guinea,2.0,t +41964,,Zimbabwe,1.0,t +24331,100%,,3.0,t +22228,83%,,1.0,f +27430,100%,Christmas Island,4.0,t +17462,,Cape Verde,1.0,f +16305,,Marshall Islands,1.0,f +12642,100%,United Kingdom,7.0,t +20334,99%,Niger,171.0,t +41227,,,1.0,f +31716,100%,Venezuela,4.0,f +42283,100%,Montserrat,4.0,t +7030,100%,Guernsey,6.0,f +34289,90%,Sao Tome and Principe,1.0,t +8458,100%,El Salvador,2.0,f +39814,,Costa Rica,1.0,f +42283,100%,Montserrat,4.0,t +42283,100%,Montserrat,4.0,t +45565,100%,,4.0,t +7699,100%,Tanzania,1.0,f +45162,,Maldives,20.0,f +40457,,,1.0,t +15754,,Rwanda,1.0,f +43814,,,1.0,f +45162,,Maldives,20.0,f +3573,,Mauritania,2.0,f +29516,,Chad,1.0,t +336,100%,Ecuador,7.0,f +18334,,San Marino,1.0,t +22396,100%,,2.0,t +31321,100%,Isle of Man,1.0,t +39166,90%,Uzbekistan,1.0,f +15734,,Turkmenistan,5.0,t +5420,100%,Tonga,41.0,f +25466,,Finland,1.0,t +32636,,Gibraltar,2.0,f +22562,,,1.0,t +42778,100%,Monaco,2.0,f +47321,,Guinea,1.0,t +2715,,,2.0,t +17701,100%,,4.0,t +15810,100%,Niger,2.0,f +19674,100%,,1.0,f +34087,0%,,1.0,f +7412,,Tonga,1.0,t +1696,,Togo,2.0,f +15949,100%,Svalbard & Jan Mayen Islands,3.0,t +26238,100%,Turkmenistan,2.0,t +15855,,Turkmenistan,1.0,f +36517,,,1.0,f +46224,,Mexico,1.0,t +18559,100%,,1.0,t +29843,,,1.0,f +32907,,Brazil,1.0,f +37374,0%,,1.0,f +5031,,El Salvador,1.0,f +44966,100%,Guinea,21.0,f +24213,100%,Estonia,1.0,f +22068,100%,Rwanda,3.0,f +35834,,Marshall Islands,1.0,t +39606,,,1.0,t +38774,,,1.0,t +15004,100%,Uzbekistan,88.0,f +47865,80%,,4.0,t +5363,,Puerto Rico,1.0,f +44857,100%,Zimbabwe,24.0,t +28241,97%,Maldives,10.0,f +17482,100%,French Guiana,1.0,f +11957,,Montserrat,2.0,f +19762,100%,Guernsey,1.0,f +24087,67%,,1.0,f +27649,100%,Kiribati,4.0,t +26668,,Kiribati,1.0,f +193,100%,Estonia,3.0,t +46604,,Ghana,3.0,t +17461,100%,Maldives,1.0,t +12993,100%,Montserrat,3.0,t +19819,100%,Lebanon,2.0,t +19170,,Denmark,1.0,f +46372,100%,Northern Mariana Islands,7.0,t +27261,0%,Micronesia,1.0,t +15669,,Sao Tome and Principe,6.0,t +21568,,Russian Federation,1.0,f +3807,,Russian Federation,1.0,f +5484,,Papua New Guinea,1.0,f +9343,100%,Afghanistan,10.0,t +31354,100%,Niger,8.0,t +43704,100%,Russian Federation,1.0,t +44652,100%,Niue,2.0,t +21580,100%,,3.0,f +29473,,Gambia,3.0,t +31530,50%,,1.0,t +12815,,Togo,1.0,t +46695,,Afghanistan,1.0,f +45468,100%,,4.0,f +23950,100%,Micronesia,2.0,t +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +37735,100%,Uganda,13.0,t +42685,,Denmark,24.0,t +36578,100%,Faroe Islands,3.0,t +19129,,Malta,5.0,t +49223,100%,,1.0,t +29647,100%,Peru,1305.0,f +36413,,,1.0,f +37018,100%,Canada,2.0,f +24427,100%,,2.0,t +11811,,Denmark,4.0,f +19235,,,1.0,f +43377,80%,Denmark,1.0,t +20775,100%,,1.0,f +40116,,,1.0,f +27204,,,1.0,t +3155,,,3.0,t +43496,100%,Montserrat,18.0,t +10451,,,3.0,t +25134,,,1.0,t +832,,El Salvador,1.0,f +2200,,Sao Tome and Principe,1.0,t +26665,100%,,1.0,f +18918,100%,Tanzania,1.0,f +27502,90%,Mauritania,1.0,f +46272,,Micronesia,2.0,t +22789,,Lebanon,1.0,f +4539,,,1.0,f +29131,,Suriname,1.0,f +43383,100%,Cape Verde,3.0,t +42233,100%,,1.0,f +3892,,,1.0,t +47114,100%,,2.0,f +24606,,,1.0,f +18635,100%,Tonga,2.0,t +12,100%,,1.0,t +1560,,Indonesia,3.0,t +12608,,,1.0,f +33641,100%,Tanzania,1.0,f +25215,0%,Sao Tome and Principe,1.0,f +45596,100%,,4.0,t +33524,,France,1.0,t +14657,,Reunion,2.0,t +43951,,,1.0,f +34378,100%,United Kingdom,1.0,t +32487,100%,Brazil,1.0,t +3497,,Uzbekistan,2.0,t +28866,,Cuba,5.0,f +8977,,United Kingdom,2.0,f +33068,,Canada,1.0,f +2436,,Mexico,1.0,f +31675,,Rwanda,1.0,f +36596,100%,Bouvet Island (Bouvetoya),1.0,f +23279,,Senegal,1.0,f +19081,,Tonga,1.0,t +5869,,Costa Rica,1.0,f +27367,100%,Maldives,1.0,f +45486,,Marshall Islands,1.0,t +6435,100%,Brazil,1.0,f +5681,75%,Denmark,1.0,f +7337,,,1.0,t +24634,100%,Guinea,20.0,t +26787,100%,,1.0,f +39769,100%,Isle of Man,3.0,f +16630,90%,Lithuania,2.0,f +13841,0%,Kiribati,1.0,f +47682,100%,Niue,1.0,t +24892,100%,Isle of Man,1.0,t +7040,,Russian Federation,1.0,t +33584,100%,Niue,1.0,t +2018,,,1.0,f +2866,100%,,1.0,t +25072,,,1.0,f +49200,100%,Svalbard & Jan Mayen Islands,1.0,f +27972,94%,Brazil,27.0,f +11811,,Denmark,4.0,f +11811,,Denmark,4.0,f +11811,,Denmark,4.0,f +18091,90%,French Polynesia,2.0,f +18091,90%,French Polynesia,2.0,f +39987,100%,Portugal,1.0,f +9508,,Denmark,2.0,f +17988,100%,Jersey,1.0,f +11504,67%,,1.0,f +16630,90%,Lithuania,2.0,f +27140,100%,Uganda,1.0,t +28918,,Kenya,1.0,t +40526,90%,Kenya,1.0,f +12642,100%,United Kingdom,7.0,t +30995,,,7.0,f +12642,100%,United Kingdom,7.0,t +12642,100%,United Kingdom,7.0,t +12642,100%,United Kingdom,7.0,t +12642,100%,United Kingdom,7.0,t +11264,,Sao Tome and Principe,2.0,f +37704,96%,Fiji,26.0,f +23259,100%,Senegal,2.0,t +35851,,Russian Federation,2.0,t +37704,96%,Fiji,26.0,f +22172,100%,Marshall Islands,2.0,f +43347,100%,Bouvet Island (Bouvetoya),1.0,f +48238,,Venezuela,4.0,t +13826,,Malta,1.0,f +29647,100%,Peru,1305.0,f +35994,,Mauritania,1.0,f +19795,100%,Estonia,8.0,f +4448,95%,,4.0,t +42835,100%,,2.0,f +12165,,,1.0,f +37293,92%,Russian Federation,15.0,f +26210,,Lebanon,2.0,f +10711,93%,Uganda,108.0,t +39059,33%,,1.0,f +20334,99%,Niger,171.0,t +29144,100%,Nicaragua,3.0,t +29647,100%,Peru,1305.0,f +3596,100%,Marshall Islands,6.0,t +13607,100%,Russian Federation,1.0,f +42988,,Guinea,2.0,t +7153,,,2.0,f +20955,,Guernsey,1.0,f +18376,,Venezuela,1.0,f +40437,50%,,1.0,f +34134,25%,,1.0,f +41754,100%,Zimbabwe,1.0,t +4570,100%,Guinea,4.0,t +40466,100%,Russian Federation,5.0,f +45463,100%,Mauritania,2.0,t +5543,,,1.0,f +5933,,Micronesia,2.0,f +24081,100%,,2.0,f +31020,100%,Slovakia (Slovak Republic),3.0,t +35025,100%,Pakistan,4.0,f +31020,100%,Slovakia (Slovak Republic),3.0,t +31020,100%,Slovakia (Slovak Republic),3.0,t +45558,100%,Guinea,1.0,f +16910,100%,Slovakia (Slovak Republic),5.0,t +26459,100%,Slovakia (Slovak Republic),4.0,t +41813,,Zimbabwe,1.0,f +12729,100%,Maldives,6.0,t +26546,50%,Lebanon,3.0,t +14514,,China,80.0,t +40901,,Peru,1.0,f +20841,,French Guiana,1.0,t +10977,100%,,1.0,t +41126,90%,Saint Helena,1.0,f +37748,,Guinea,1.0,t +34396,,,1.0,t +27269,,,1.0,f +37245,100%,,1.0,f +645,,Kiribati,2.0,t +43496,100%,Montserrat,18.0,t +36524,100%,Saint Helena,8.0,t +3101,100%,Puerto Rico,27.0,f +11138,90%,,3.0,f +34939,,Micronesia,1.0,t +30812,,Guinea,1.0,f +38833,,Ukraine,2.0,t +3727,,,1.0,f +20787,100%,Isle of Man,1.0,t +40922,,,2.0,f +30055,,Jersey,1.0,t +3632,100%,Philippines,4.0,t +2855,80%,Sao Tome and Principe,1.0,f +30995,,,7.0,f +7960,,Peru,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +6750,100%,,1.0,t +46228,,,1.0,t +13636,,Kenya,1.0,t +17859,,Guernsey,1.0,f +29647,100%,Peru,1305.0,f +19572,100%,Rwanda,2.0,t +20989,100%,Marshall Islands,8.0,f +42069,50%,,1.0,f +43888,100%,Brazil,3.0,t +25086,100%,,2.0,t +34851,100%,,4.0,f +8480,,,1.0,t +49263,90%,Micronesia,3.0,t +19718,100%,Turks and Caicos Islands,10.0,f +24790,,,1.0,f +44725,100%,Slovakia (Slovak Republic),4.0,t +33990,90%,Cocos (Keeling) Islands,1.0,f +25063,,,1.0,f +18331,,Faroe Islands,1.0,f +8052,,Sao Tome and Principe,1.0,f +19734,100%,,1.0,t +34921,100%,Holy See (Vatican City State),1.0,f +30924,,Sao Tome and Principe,7.0,t +49788,,Uzbekistan,1.0,t +44680,100%,,1.0,t +5580,100%,Somalia,2.0,t +16883,,,2.0,f +3875,100%,Isle of Man,2.0,f +28005,,Russian Federation,1.0,f +30283,100%,Brazil,15.0,f +35046,,Sao Tome and Principe,2.0,t +37085,,Guinea,1.0,f +5361,100%,Niger,3.0,t +12849,100%,Niger,1.0,f +24634,100%,Guinea,20.0,t +30467,,Costa Rica,1.0,f +24634,100%,Guinea,20.0,t +30406,,Russian Federation,2.0,f +44149,,,1.0,t +26541,100%,Nicaragua,12.0,f +24634,100%,Guinea,20.0,t +24634,100%,Guinea,20.0,t +39324,,China,1.0,t +9702,,Pakistan,1.0,f +125,100%,Micronesia,1.0,t +24331,100%,,3.0,t +39718,,,1.0,f +23654,100%,Uzbekistan,23.0,f +38613,100%,,1.0,f +35407,100%,Gambia,1.0,t +24005,,El Salvador,1.0,t +44121,100%,Nicaragua,5.0,f +33468,100%,Monaco,2.0,t +45761,100%,Guinea,1.0,t +11960,0%,,1.0,f +16412,100%,Anguilla,2.0,t +30745,,,1.0,f +29570,100%,Vanuatu,1.0,f +29431,100%,Tonga,1.0,t +21261,100%,Isle of Man,3.0,t +47187,100%,Gambia,1.0,t +33506,100%,Russian Federation,1.0,f +45596,100%,,4.0,t +27845,,Gibraltar,1.0,t +42870,,Isle of Man,1.0,f +45596,100%,,4.0,t +44113,90%,,1.0,t +19086,,,1.0,t +13653,,Isle of Man,3.0,t +48927,,,1.0,t +25937,100%,Uzbekistan,1.0,f +2240,100%,,2.0,t +17250,75%,Palestinian Territory,1.0,f +1409,,Turks and Caicos Islands,1.0,f +31673,100%,Lebanon,3.0,t +248,91%,French Guiana,2.0,f +30458,,Malta,1.0,t +46324,,Cocos (Keeling) Islands,1.0,f +44288,100%,,2.0,t +23316,,Russian Federation,1.0,f +32117,100%,Cape Verde,2.0,t +31221,,,1.0,t +49227,,,1.0,t +25175,100%,Cocos (Keeling) Islands,2.0,f +49224,,,1.0,f +20249,,Papua New Guinea,2.0,t +46842,75%,Portugal,13.0,t +46842,75%,Portugal,13.0,t +46842,75%,Portugal,13.0,t +46842,75%,Portugal,13.0,t +46842,75%,Portugal,13.0,t +37687,100%,Turkmenistan,1.0,t +42283,100%,Montserrat,4.0,t +45911,0%,,2.0,f +40379,,,1.0,f +4338,80%,Micronesia,2.0,t +49737,,Faroe Islands,1.0,f +20334,99%,Niger,171.0,t +40982,94%,Bahrain,5.0,t +4722,96%,Guinea,13.0,t +43160,,Australia,1.0,t +32793,100%,El Salvador,1.0,t +8225,95%,Barbados,31.0,f +761,100%,,2.0,f +49965,100%,Kenya,5.0,t +28766,100%,Estonia,16.0,f +23034,99%,Monaco,54.0,f +9427,100%,Marshall Islands,3.0,f +21730,,Philippines,5.0,t +41468,,Tanzania,1.0,t +12771,,,1.0,t +6588,,,1.0,t +15571,100%,,1.0,f +30117,100%,Tunisia,7.0,t +26032,100%,,1.0,f +22075,,Sao Tome and Principe,1.0,f +24418,100%,Fiji,2.0,t +30117,100%,Tunisia,7.0,t +24500,,,3.0,f +29647,100%,Peru,1305.0,f +14698,100%,,7.0,f +17795,100%,Uzbekistan,11.0,t +32492,,Slovakia (Slovak Republic),1.0,t +20007,100%,Maldives,2.0,t +43773,100%,Turks and Caicos Islands,2.0,f +18480,90%,Monaco,4.0,t +20007,100%,Maldives,2.0,t +2985,100%,Mauritania,1.0,t +23586,,Saint Helena,1.0,t +4549,100%,Netherlands,1.0,f +12800,100%,Malawi,2.0,f +11226,,,1.0,f +38045,97%,Uzbekistan,7.0,f +24500,,,3.0,f +47141,,Indonesia,1.0,t +45468,100%,,4.0,f +4502,,Costa Rica,1.0,f +48932,100%,Monaco,5.0,t +29674,,,1.0,f +42626,,Lebanon,1.0,f +23376,100%,Estonia,2.0,t +45365,,Kiribati,3.0,t +14063,100%,Denmark,10.0,t +39842,,Sao Tome and Principe,1.0,t +49301,100%,,1.0,f +33065,100%,Uzbekistan,6.0,f +8225,95%,Barbados,31.0,f +29647,100%,Peru,1305.0,f +26459,100%,Slovakia (Slovak Republic),4.0,t +31706,,Niue,1.0,f +26459,100%,Slovakia (Slovak Republic),4.0,t +22545,100%,,2.0,f +2674,,Gambia,1.0,t +32892,,Mauritania,1.0,f +40164,100%,Kenya,1.0,f +6289,100%,Russian Federation,4.0,t +43940,100%,Guernsey,1.0,t +4707,,Lebanon,1.0,t +6289,100%,Russian Federation,4.0,t +37218,100%,Slovakia (Slovak Republic),4.0,t +21909,100%,Christmas Island,3.0,f +33164,60%,Togo,6.0,f +3408,,Rwanda,2.0,f +35439,94%,United Kingdom,23.0,t +1948,63%,Rwanda,3.0,f +26223,,Sao Tome and Principe,1.0,t +14462,,Canada,1.0,f +49599,100%,Monaco,4.0,t +724,100%,Zimbabwe,8.0,f +14276,,,1.0,f +38776,,Micronesia,1.0,f +22159,100%,Afghanistan,1.0,f +38719,,,2.0,t +37770,100%,Anguilla,2.0,t +46656,50%,France,2.0,f +6525,100%,Indonesia,3.0,t +11331,75%,,1.0,f +17086,100%,Saint Pierre and Miquelon,2.0,t +37012,100%,Monaco,3.0,t +48077,,Bosnia and Herzegovina,2.0,f +14928,100%,,1.0,t +37229,100%,Tanzania,2.0,f +15803,100%,Tonga,1.0,t +25291,58%,Gibraltar,3.0,t +40221,100%,,2.0,t +20687,,Lebanon,1.0,t +44226,,Uganda,1.0,t +47959,100%,Kiribati,1.0,t +15004,100%,Uzbekistan,88.0,f +26837,100%,Uzbekistan,1.0,f +20334,99%,Niger,171.0,t +25344,90%,Faroe Islands,8.0,f +4228,,Niger,11.0,f +26778,100%,Kiribati,2.0,f +15886,,Sao Tome and Principe,1.0,t +45667,,,1.0,t +11547,,Uzbekistan,1.0,f +3135,100%,Ecuador,2.0,f +15343,86%,Palestinian Territory,1.0,f +36737,,,1.0,t +4426,,,1.0,f +27534,,Chad,2.0,t +38446,,,1.0,f +1869,,Moldova,2.0,f +3037,100%,,2.0,f +31882,,,1.0,t +48125,100%,Puerto Rico,1.0,f +12885,,Kenya,1.0,f +40752,100%,Tunisia,5.0,t +26863,,Mexico,7.0,f +26283,100%,Zimbabwe,6.0,t +21196,,Niue,2.0,t +22721,100%,Ecuador,109.0,f +25480,,,1.0,f +30520,,Saint Helena,1.0,t +13656,100%,,1.0,f +31802,100%,New Zealand,5.0,t +17417,,Denmark,11.0,f +42002,,Malta,1.0,f +26555,,Monaco,1.0,f +529,100%,Faroe Islands,1.0,t +22721,100%,Ecuador,109.0,f +18421,90%,Nicaragua,1.0,t +44636,100%,Russian Federation,1.0,f +5663,,Russian Federation,8.0,t +10146,,,1.0,f +11126,100%,Anguilla,3.0,t +21897,90%,,3.0,f +5663,,Russian Federation,8.0,t +22188,100%,,3.0,f +36486,,,1.0,t +14024,100%,,2.0,f +37757,100%,,2.0,t +20453,,Isle of Man,1.0,f +48906,,,1.0,t +46195,89%,Maldives,6.0,t +5233,100%,Montserrat,6.0,t +32226,30%,,1.0,f +21431,100%,,2.0,t +14039,100%,Sao Tome and Principe,1.0,f +6186,,Bosnia and Herzegovina,3.0,t +18330,,Marshall Islands,3.0,f +3037,100%,,2.0,f +35025,100%,Pakistan,4.0,f +40208,100%,Saint Helena,2.0,t +2188,100%,Isle of Man,1.0,f +17211,100%,,2.0,t +37939,,,1.0,t +4228,,Niger,11.0,f +13874,100%,Guinea,2.0,f +23034,99%,Monaco,54.0,f +6065,88%,,2.0,t +26889,100%,Indonesia,10.0,f +42317,100%,Netherlands Antilles,1.0,t +27594,100%,Switzerland,1.0,t +10362,,Russian Federation,1.0,f +40218,100%,Estonia,6.0,f +46014,0%,Guinea,1.0,f +18828,100%,Ecuador,2.0,t +22721,100%,Ecuador,109.0,f +31451,,Turks and Caicos Islands,4.0,f +21858,100%,Cuba,2.0,f +26898,100%,,1.0,f +10461,,Somalia,1.0,t +25075,100%,Guinea,1.0,f +32339,100%,Russian Federation,1.0,f +37562,,Bosnia and Herzegovina,1.0,f +12014,100%,Pakistan,1.0,f +20572,0%,,2.0,t +4214,100%,Niue,3.0,t +6728,,Vietnam,3.0,t +48526,,Indonesia,1.0,f +24155,50%,Brunei Darussalam,1.0,f +606,100%,Nicaragua,1.0,f +32020,,Finland,1.0,f +2688,,Lebanon,1.0,t +5900,,,1.0,t +29142,100%,,1.0,t +16105,,,1.0,f +45780,91%,Palestinian Territory,5.0,f +12027,100%,Uzbekistan,4.0,t +12027,100%,Uzbekistan,4.0,t +40149,,Isle of Man,1.0,f +26889,100%,Indonesia,10.0,f +10798,100%,Madagascar,3.0,f +14835,100%,,3.0,t +16427,100%,Isle of Man,1.0,f +32878,,Uzbekistan,1.0,f +99,,,1.0,t +914,100%,Switzerland,2.0,f +39952,100%,Tonga,21.0,f +9364,80%,Nicaragua,1.0,t +39952,100%,Tonga,21.0,f +1560,,Indonesia,3.0,t +13432,,Rwanda,1.0,f +28481,,,1.0,f +21379,,Netherlands,2.0,t +38918,,,1.0,f +29473,,Gambia,3.0,t +5049,100%,Sao Tome and Principe,15.0,t +25833,,Micronesia,1.0,t +14179,100%,,2.0,t +17327,,Russian Federation,2.0,f +39840,,China,2.0,t +6894,80%,Estonia,47.0,t +8191,100%,Mauritania,8.0,f +49855,,Togo,2.0,f +18081,50%,Tajikistan,2.0,f +23305,100%,Philippines,11.0,f +33216,,Zimbabwe,1.0,t +8676,,,1.0,f +11253,,Ghana,7.0,f +29668,100%,Nicaragua,4.0,t +13357,100%,,1.0,f +11253,,Ghana,7.0,f +42855,,Holy See (Vatican City State),2.0,f +27133,100%,,4.0,f +39325,,France,1.0,f +20386,,,1.0,t +1074,,Monaco,1.0,t +4624,,,1.0,t +31524,100%,,1.0,f +3903,,,1.0,f +18720,50%,,1.0,f +3421,100%,,4.0,f +13742,90%,El Salvador,5.0,t +25371,100%,Bouvet Island (Bouvetoya),2.0,t +45030,,,1.0,t +5958,100%,Faroe Islands,9.0,f +5970,100%,El Salvador,2.0,f +13184,100%,Vietnam,7.0,f +13184,100%,Vietnam,7.0,f +13184,100%,Vietnam,7.0,f +48470,90%,Pakistan,4.0,f +13756,100%,Guinea,3.0,f +42638,100%,Zimbabwe,1.0,f +23688,100%,Brazil,1.0,t +47963,100%,,1.0,t +27724,,Lebanon,1.0,t +22345,,Lebanon,3.0,t +37997,,Venezuela,1.0,t +18330,,Marshall Islands,3.0,f +41923,100%,Puerto Rico,4.0,f +5362,,United Kingdom,1.0,t +26376,,Niue,1.0,f +22721,100%,Ecuador,109.0,f +13184,100%,Vietnam,7.0,f +13184,100%,Vietnam,7.0,f +14982,,Guinea,1.0,f +13184,100%,Vietnam,7.0,f +37646,100%,Estonia,60.0,f +9289,100%,Marshall Islands,1.0,t +6260,,,1.0,f +2062,,,1.0,t +29733,,Russian Federation,15.0,f +6894,80%,Estonia,47.0,t +45142,,,1.0,t +29558,,Guinea,1.0,f +4391,,Somalia,1.0,t +11110,88%,Kiribati,3.0,t +14289,100%,,2.0,f +19383,83%,Brazil,1.0,t +23411,,Nicaragua,1.0,t +39872,,Andorra,2.0,t +23698,,,1.0,f +46701,,,1.0,t +13555,100%,Kiribati,2.0,f +15987,67%,Costa Rica,1.0,f +22345,,Lebanon,3.0,t +29318,,Tonga,1.0,t +21190,100%,Uganda,3.0,f +22288,,,1.0,t +7311,,Congo,1.0,f +17164,,,1.0,f +45423,,Sao Tome and Principe,1.0,f +15655,,Venezuela,1.0,t +21312,,,1.0,t +48409,,Estonia,60.0,t +17639,90%,Kenya,3.0,f +28828,100%,Isle of Man,198.0,t +38185,100%,Papua New Guinea,10.0,f +21595,100%,,2.0,f +8601,,Angola,16.0,f +12375,100%,,1.0,f +7679,100%,Niger,4.0,t +29647,100%,Peru,1305.0,f +26889,100%,Indonesia,10.0,f +11567,100%,Niger,31.0,t +27430,100%,Christmas Island,4.0,t +42281,100%,Marshall Islands,39.0,f +13947,100%,France,3.0,t +613,100%,,1.0,t +42281,100%,Marshall Islands,39.0,f +8225,95%,Barbados,31.0,f +20334,99%,Niger,171.0,t +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +45138,79%,Barbados,14.0,f +39105,100%,Guernsey,3.0,t +22828,100%,Lebanon,2.0,t +25344,90%,Faroe Islands,8.0,f +41878,91%,Maldives,47.0,f +18442,100%,Reunion,5.0,t +30680,,Guinea,4.0,f +17542,,,1.0,f +4665,100%,Reunion,4.0,t +32218,,Isle of Man,1.0,f +30214,100%,,10.0,t +13304,100%,Cocos (Keeling) Islands,2.0,f +4998,,Gambia,1.0,f +35696,,,3.0,t +30319,,,1.0,t +3437,,,1.0,f +29978,89%,Uzbekistan,26.0,f +25967,100%,Anguilla,1.0,f +31681,100%,,2.0,f +15955,88%,Malta,4.0,t +4228,,Niger,11.0,f +6252,100%,,1.0,f +38933,100%,Montserrat,1.0,f +17299,,Anguilla,2.0,f +22324,100%,Venezuela,6.0,t +36112,100%,Denmark,1.0,f +40221,100%,,2.0,t +1835,100%,Ecuador,8.0,f +24008,,Brazil,1.0,f +3787,100%,,1.0,f +7534,90%,,1.0,f +26734,,United Kingdom,1.0,t +16683,,,1.0,f +204,100%,Guinea,1.0,f +10732,,Uganda,5.0,f +47550,100%,Guinea,4.0,t +39614,100%,Gambia,2.0,t +41923,100%,Puerto Rico,4.0,f +1097,100%,,1.0,t +42965,100%,Uzbekistan,11.0,t +42316,,Bahrain,1.0,t +42256,100%,,8.0,f +29886,0%,Zimbabwe,2.0,t +1758,,Bouvet Island (Bouvetoya),1.0,f +36759,100%,France,1.0,t +46069,50%,France,1.0,t +45706,100%,Kenya,2.0,t +38158,90%,Niger,2.0,f +3377,100%,,1.0,f +19172,,Guernsey,1.0,f +35774,90%,Brazil,1.0,t +4665,100%,Reunion,4.0,t +44909,,Uzbekistan,1.0,t +40236,,Rwanda,1.0,t +8906,75%,Philippines,1.0,f +2644,100%,Zimbabwe,11.0,t +24609,100%,Sao Tome and Principe,1.0,t +27133,100%,,4.0,f +951,,Monaco,1.0,t +43755,100%,,1.0,f +31716,100%,Venezuela,4.0,f +33421,,Rwanda,1.0,t +1276,,Cuba,1.0,t +41918,90%,France,2.0,f +47015,,El Salvador,1.0,t +24571,,Philippines,1.0,f +19345,100%,Niue,2.0,t +41878,91%,Maldives,47.0,f +20273,,France,1.0,f +43013,,Estonia,1.0,t +44289,,,1.0,t +42933,100%,Isle of Man,1.0,t +20047,,,1.0,t +37949,,Sao Tome and Principe,1.0,f +5049,100%,Sao Tome and Principe,15.0,t +5049,100%,Sao Tome and Principe,15.0,t +22784,100%,Rwanda,5.0,f +29824,100%,Sao Tome and Principe,6.0,t +23034,99%,Monaco,54.0,f +1999,,Niue,2.0,f +35260,100%,,1.0,t +3678,100%,Guinea,7.0,t +45204,,,2.0,t +49752,,Faroe Islands,2.0,f +15467,,United Kingdom,2.0,t +18077,100%,Sao Tome and Principe,139.0,f +36234,97%,Fiji,12.0,t +13096,100%,Togo,1.0,f +36983,,Isle of Man,1.0,f +48409,,Estonia,60.0,t +26283,100%,Zimbabwe,6.0,t +43754,,Kenya,1.0,f +49076,97%,Kenya,12.0,t +24683,100%,,1.0,t +47964,,Chile,3.0,f +14245,100%,,1.0,f +21692,100%,Ecuador,3.0,t +40220,,Tonga,3.0,f +19069,,Kiribati,1.0,t +8600,,Nicaragua,1.0,t +25106,,Costa Rica,2.0,t +10158,100%,Ukraine,6.0,t +18996,,Slovakia (Slovak Republic),5.0,f +41289,100%,,1.0,f +45600,100%,Gibraltar,2.0,f +46605,,Indonesia,1.0,t +7560,,Malta,1.0,t +38746,99%,Vietnam,13.0,f +14999,20%,Slovakia (Slovak Republic),3.0,f +19958,100%,Congo,40.0,t +46359,,Rwanda,2.0,t +16807,100%,,1.0,t +4840,,,1.0,f +30359,100%,Bosnia and Herzegovina,1.0,f +25335,,Croatia,1.0,t +19217,98%,Marshall Islands,46.0,f +26346,,Lebanon,1.0,f +33927,100%,Barbados,9.0,f +40373,,,1.0,f +37027,,Saint Helena,1.0,f +30435,99%,Cape Verde,41.0,f +11947,100%,,2.0,f +6759,,,1.0,t +23441,,Isle of Man,1.0,t +38162,100%,Niger,8.0,f +41889,96%,Uzbekistan,14.0,t +41889,96%,Uzbekistan,14.0,t +33203,100%,,3.0,f +24099,,France,4.0,f +35548,,Guernsey,1.0,t +15152,,Togo,1.0,t +3251,,,1.0,f +19364,33%,Guinea,1.0,f +31174,89%,,1.0,t +2966,100%,,1.0,t +49852,,,1.0,t +36710,100%,Somalia,1.0,t +45204,,,2.0,t +30764,100%,Slovakia (Slovak Republic),8.0,t +30764,100%,Slovakia (Slovak Republic),8.0,t +39503,,Togo,1.0,f +39228,100%,Rwanda,2.0,f +34194,100%,,7.0,t +4228,,Niger,11.0,f +48852,60%,Rwanda,3.0,t +49278,,Lebanon,1.0,t +1270,100%,France,1.0,f +6901,,,1.0,f +13915,100%,Micronesia,1.0,t +48360,,,1.0,t +31121,,Slovakia (Slovak Republic),1.0,f +41889,96%,Uzbekistan,14.0,t +17893,100%,,2.0,f +33390,,Isle of Man,1.0,f +41889,96%,Uzbekistan,14.0,t +41889,96%,Uzbekistan,14.0,t +31612,100%,,3.0,t +3678,100%,Guinea,7.0,t +30122,,Chile,1.0,t +46150,,,2.0,f +3217,,Nicaragua,1.0,f +44050,,Denmark,2.0,t +3678,100%,Guinea,7.0,t +27954,,,1.0,t +11805,,,1.0,t +41889,96%,Uzbekistan,14.0,t +45395,100%,Cocos (Keeling) Islands,1.0,f +3678,100%,Guinea,7.0,t +43496,100%,Montserrat,18.0,t +3792,,Reunion,1.0,f +29601,,Faroe Islands,6.0,t +27374,100%,Costa Rica,1.0,f +31909,,El Salvador,2.0,t +42256,100%,,8.0,f +28720,,,1.0,f +18607,100%,Niue,1.0,f +34687,100%,,2.0,f +8061,,Indonesia,2.0,f +1726,93%,Isle of Man,9.0,t +45160,100%,,2.0,t +3381,,Christmas Island,1.0,f +20910,,,1.0,t +39659,,Rwanda,1.0,t +3678,100%,Guinea,7.0,t +48591,0%,Gibraltar,1.0,t +42441,100%,Jersey,3.0,f +3678,100%,Guinea,7.0,t +3678,100%,Guinea,7.0,t +35969,,,1.0,f +20426,,Slovakia (Slovak Republic),2.0,f +41847,100%,El Salvador,3.0,t +8856,,Ecuador,1.0,t +16818,98%,Nicaragua,5.0,t +23305,100%,Philippines,11.0,f +7667,,,1.0,f +23305,100%,Philippines,11.0,f +32204,100%,Guinea,2.0,t +15676,,Gambia,1.0,f +10662,100%,,1.0,t +30435,99%,Cape Verde,41.0,f +46411,90%,Zimbabwe,1.0,f +49752,,Faroe Islands,2.0,f +33659,,Chad,1.0,f +39817,100%,,2.0,t +30383,90%,Mauritania,6.0,t +29081,98%,Uzbekistan,18.0,f +46286,100%,Venezuela,2.0,f +11652,100%,,1.0,f +9516,99%,Pakistan,45.0,t +20740,,,2.0,t +27473,100%,,2.0,f +2227,100%,Montserrat,5.0,t +31594,100%,Philippines,19.0,t +32142,100%,,1.0,f +9613,94%,United Kingdom,2.0,t +45306,89%,Rwanda,7.0,t +8439,97%,Rwanda,17.0,t +24550,,,1.0,t +49529,100%,,1.0,f +31067,,Tonga,1.0,t +43140,,,1.0,t +16412,100%,Anguilla,2.0,t +1528,67%,Zimbabwe,1.0,t +19143,100%,,3.0,t +3442,100%,Tonga,2.0,t +10926,100%,El Salvador,1.0,t +37621,,,1.0,f +8326,40%,,1.0,t +39627,,Russian Federation,2.0,t +42951,75%,Marshall Islands,1.0,f +19793,,Montserrat,1.0,t +19921,,Wallis and Futuna,1.0,t +33743,100%,Denmark,2.0,f +3887,,Niue,1.0,f +30620,70%,United Kingdom,1.0,t +33880,84%,Barbados,18.0,f +10796,,,1.0,t +33880,84%,Barbados,18.0,f +24876,,Russian Federation,1.0,f +20451,,Montserrat,1.0,f +40136,100%,,1.0,t +29115,100%,Isle of Man,1.0,f +15003,,Bosnia and Herzegovina,1.0,t +23317,,Palestinian Territory,1.0,f +5049,100%,Sao Tome and Principe,15.0,t +22106,100%,,2.0,t +5049,100%,Sao Tome and Principe,15.0,t +1999,,Niue,2.0,f +20329,100%,Reunion,21.0,f +33967,,Lebanon,1.0,t +20221,86%,Micronesia,1.0,t +22200,,Holy See (Vatican City State),1.0,f +42256,100%,,8.0,f +38314,100%,Portugal,2.0,f +30850,100%,Finland,5.0,t +28828,100%,Isle of Man,198.0,t +39993,93%,China,3.0,f +25915,75%,,2.0,t +2354,100%,Marshall Islands,4.0,t +39131,100%,Lithuania,4.0,t +19467,,,1.0,t +22164,,Gambia,3.0,t +19301,100%,,2.0,t +7449,,Isle of Man,1.0,f +27182,100%,,1.0,f +10001,,Malawi,1.0,t +25763,92%,Micronesia,4.0,f +39037,,Isle of Man,2.0,t +2425,,,1.0,f +48238,,Venezuela,4.0,t +20727,100%,Russian Federation,4.0,t +23766,100%,Guinea,2.0,f +48470,90%,Pakistan,4.0,f +32460,100%,Denmark,1.0,f +24302,100%,Cape Verde,6.0,f +7815,100%,Estonia,2.0,t +48632,100%,,1.0,t +5433,,Cape Verde,4.0,t +43234,,Netherlands,1.0,t +6348,,Sao Tome and Principe,1.0,f +36095,,,1.0,f +42256,100%,,8.0,f +11404,,Sao Tome and Principe,1.0,f +11754,90%,Cuba,2.0,f +5049,100%,Sao Tome and Principe,15.0,t +42256,100%,,8.0,f +17595,90%,,1.0,t +25349,100%,,1.0,t +32512,100%,Saint Helena,9.0,f +48494,,Uganda,1.0,t +47832,100%,Denmark,1.0,f +32512,100%,Saint Helena,9.0,f +22794,50%,Cape Verde,36.0,t +3943,,Wallis and Futuna,1.0,f +22794,50%,Cape Verde,36.0,t +21710,,Isle of Man,2.0,t +30066,,,1.0,t +42393,,Micronesia,1.0,t +6884,,Micronesia,2.0,t +46483,100%,,1.0,f +5049,100%,Sao Tome and Principe,15.0,t +27027,100%,Nicaragua,1.0,t +48756,100%,Maldives,59.0,f +5178,,,1.0,f +34300,0%,,1.0,f +46831,,Guinea,1.0,f +20155,100%,,2.0,t +46583,,Sao Tome and Principe,1.0,f +30649,,Brazil,1.0,t +3774,100%,Nicaragua,3.0,f +20772,,Turks and Caicos Islands,1.0,f +21681,100%,Sao Tome and Principe,1.0,f +37293,92%,Russian Federation,15.0,f +39109,77%,Ukraine,24.0,t +47905,,Kenya,1.0,f +40584,93%,Uzbekistan,1.0,t +42390,100%,Wallis and Futuna,96.0,t +45348,100%,Denmark,1.0,f +27740,100%,United Kingdom,6.0,t +49567,100%,Saint Helena,4.0,t +501,,France,2.0,t +355,80%,China,9.0,t +21909,100%,Christmas Island,3.0,f +46859,100%,Isle of Man,2.0,t +34702,100%,Denmark,1.0,t +11567,100%,Niger,31.0,t +43183,98%,Tonga,12.0,t +2088,100%,Isle of Man,2.0,t +15797,100%,Micronesia,2.0,f +14793,,,1.0,t +9767,,Sao Tome and Principe,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +25175,100%,Cocos (Keeling) Islands,2.0,f +818,90%,,1.0,f +11567,100%,Niger,31.0,t +40125,100%,Ecuador,1.0,f +27972,94%,Brazil,27.0,f +41878,91%,Maldives,47.0,f +4228,,Niger,11.0,f +4954,,Christmas Island,2.0,f +48837,100%,,1.0,f +19009,0%,Micronesia,1.0,t +26560,,,1.0,t +19795,100%,Estonia,8.0,f +17449,,Lebanon,1.0,f +4228,,Niger,11.0,f +41643,100%,Montserrat,1.0,t +14050,100%,Lithuania,1.0,t +9765,,French Guiana,1.0,t +24648,,Rwanda,2.0,t +30061,100%,,1.0,f +7104,,,1.0,f +24775,97%,Montserrat,44.0,f +35499,94%,Andorra,4.0,f +38676,,Mexico,1.0,f +24775,97%,Montserrat,44.0,f +36746,100%,Isle of Man,1.0,t +30383,90%,Mauritania,6.0,t +12428,,Niue,1.0,t +42256,100%,,8.0,f +48409,,Estonia,60.0,t +13030,100%,Mauritania,1.0,t +26276,,Cook Islands,1.0,f +7582,100%,Lithuania,2.0,f +24001,100%,Chile,1.0,t +710,100%,Kenya,1.0,t +20367,71%,Zimbabwe,1.0,f +19217,98%,Marshall Islands,46.0,f +21173,,Niue,3.0,t +11070,100%,,1.0,t +39244,100%,Netherlands,3.0,f +47366,,,1.0,t +5049,100%,Sao Tome and Principe,15.0,t +30137,,Isle of Man,1.0,t +3692,,,1.0,f +8466,94%,Saint Helena,7.0,f +32809,,,1.0,f +19217,98%,Marshall Islands,46.0,f +29098,100%,Vanuatu,1.0,f +8466,94%,Saint Helena,7.0,f +8466,94%,Saint Helena,7.0,f +8466,94%,Saint Helena,7.0,f +19217,98%,Marshall Islands,46.0,f +22822,,,3.0,f +26690,,,1.0,f +33273,,,1.0,f +39125,100%,Montserrat,1.0,f +48317,70%,,1.0,t +40417,100%,Rwanda,1.0,f +45546,100%,Cape Verde,19.0,t +4665,100%,Reunion,4.0,t +18573,,,5.0,f +45919,100%,Montserrat,9.0,t +18077,100%,Sao Tome and Principe,139.0,f +21754,,Micronesia,1.0,t +2088,100%,Isle of Man,2.0,t +26386,100%,Fiji,25.0,t +15512,,Niue,1.0,f +17295,,Jersey,1.0,f +49599,100%,Monaco,4.0,t +29647,100%,Peru,1305.0,f +11100,100%,Nicaragua,1.0,f +32333,,Niue,1.0,f +36440,,Tonga,1.0,f +48981,100%,Sao Tome and Principe,1.0,t +19566,,Lebanon,1.0,t +14071,100%,Gambia,2.0,f +6738,100%,,2.0,f +40410,100%,Gibraltar,1.0,t +2877,100%,United Kingdom,1.0,t +9730,100%,,1.0,t +9057,90%,Kiribati,11.0,t +12528,0%,Fiji,1.0,f +6738,100%,,2.0,f +21455,,Costa Rica,1.0,t +36455,,Brazil,1.0,t +48409,,Estonia,60.0,t +28828,100%,Isle of Man,198.0,t +31444,100%,Reunion,25.0,f +30680,,Guinea,4.0,f +35664,,Svalbard & Jan Mayen Islands,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +31444,100%,Reunion,25.0,f +18077,100%,Sao Tome and Principe,139.0,f +30680,,Guinea,4.0,f +38469,100%,Cocos (Keeling) Islands,3.0,t +46784,,,1.0,t +5790,100%,Jersey,1.0,t +47904,,Uganda,2.0,f +9057,90%,Kiribati,11.0,t +24254,,,1.0,f +9057,90%,Kiribati,11.0,t +25440,,Indonesia,4.0,t +46651,90%,Gambia,1.0,t +9057,90%,Kiribati,11.0,t +29647,100%,Peru,1305.0,f +5049,100%,Sao Tome and Principe,15.0,t +9057,90%,Kiribati,11.0,t +19738,,,1.0,f +7636,,Guinea,1.0,f +29647,100%,Peru,1305.0,f +17417,,Denmark,11.0,f +15705,100%,South Georgia and the South Sandwich Islands,2.0,f +27740,100%,United Kingdom,6.0,t +27740,100%,United Kingdom,6.0,t +12468,100%,Guinea,1.0,f +23801,,Wallis and Futuna,1.0,f +25984,100%,Russian Federation,1.0,f +37976,,Marshall Islands,1.0,t +14999,20%,Slovakia (Slovak Republic),3.0,f +4497,,Tonga,1.0,f +29647,100%,Peru,1305.0,f +15528,80%,,1.0,f +25371,100%,Bouvet Island (Bouvetoya),2.0,t +39273,67%,,1.0,t +23481,100%,,1.0,t +23034,99%,Monaco,54.0,f +8439,97%,Rwanda,17.0,t +15288,100%,,1.0,t +1919,,,4.0,f +9516,99%,Pakistan,45.0,t +12564,94%,Kiribati,2.0,f +35314,96%,,3.0,f +35314,96%,,3.0,f +3040,,,1.0,t +44847,,,1.0,f +45737,,Tonga,29.0,t +36464,,,1.0,f +15709,,Russian Federation,2.0,f +27888,100%,Tonga,1.0,t +7009,100%,Isle of Man,9.0,f +12618,,Isle of Man,1.0,f +41827,,Switzerland,1.0,t +1249,,Sao Tome and Principe,1.0,t +21883,,Bahrain,11.0,t +39801,,Holy See (Vatican City State),1.0,f +1618,100%,,1.0,t +35221,100%,Turks and Caicos Islands,30.0,t +23454,100%,Uganda,2.0,t +33184,,Micronesia,1.0,f +25289,100%,,1.0,t +41958,,,1.0,f +35221,100%,Turks and Caicos Islands,30.0,t +10508,,Micronesia,1.0,f +19766,40%,Monaco,3.0,f +4228,,Niger,11.0,f +26863,,Mexico,7.0,f +29647,100%,Peru,1305.0,f +24660,100%,Papua New Guinea,2.0,t +36479,,Jersey,1.0,f +29647,100%,Peru,1305.0,f +4267,100%,Senegal,22.0,t +14589,,,1.0,f +5051,100%,El Salvador,12.0,f +483,0%,,1.0,f +19918,,,1.0,f +8466,94%,Saint Helena,7.0,f +23703,100%,Monaco,3.0,t +15769,,Indonesia,1.0,t +36089,,Uzbekistan,1.0,t +22965,,Greenland,2.0,f +36820,100%,Uzbekistan,2.0,f +48109,,,1.0,t +34629,100%,Malta,1.0,t +18225,,Marshall Islands,1.0,f +34150,100%,Gibraltar,2.0,f +10830,,,1.0,t +5280,100%,Switzerland,1.0,t +3135,100%,Ecuador,2.0,f +33739,100%,,1.0,f +23799,,Jersey,1.0,t +26181,100%,Zimbabwe,1.0,t +34475,100%,,2.0,t +44747,100%,Croatia,1.0,f +32420,100%,French Guiana,1.0,f +8537,,Bouvet Island (Bouvetoya),1.0,f +26207,100%,,2.0,t +12996,,,1.0,f +38245,,Sao Tome and Principe,2.0,f +10083,88%,,1.0,f +39983,100%,,1.0,f +2227,100%,Montserrat,5.0,t +20771,,,1.0,t +1447,,Svalbard & Jan Mayen Islands,1.0,f +28499,,Lebanon,1.0,f +23305,100%,Philippines,11.0,f +7259,100%,Guinea,1.0,t +23047,100%,Uganda,1.0,t +12362,89%,Uganda,1.0,f +4077,,Niue,1.0,t +49818,100%,Denmark,1.0,f +42256,100%,,8.0,f +36072,,Guinea,1.0,f +40354,100%,Niue,2.0,t +4779,60%,Uzbekistan,1.0,t +34523,80%,,1.0,f +19154,100%,France,2.0,t +21679,100%,China,2.0,t +34992,,Croatia,1.0,f +46026,100%,,2.0,f +47537,,Gibraltar,1.0,t +46607,100%,Brazil,4.0,f +2217,,,9.0,f +49145,100%,,3.0,t +47646,,Estonia,1.0,t +26150,,,2.0,t +7072,,Guinea,1.0,f +18597,100%,Micronesia,2.0,f +48189,100%,Estonia,1.0,f +758,100%,Russian Federation,1.0,f +5804,,Kiribati,1.0,f +8212,100%,Russian Federation,2.0,t +40885,,,1.0,f +28339,,Rwanda,1.0,f +16742,83%,Monaco,1.0,f +17937,100%,Sao Tome and Principe,2.0,f +49627,100%,Croatia,1.0,f +10723,100%,,1.0,f +49074,100%,Korea,2.0,t +954,,Nicaragua,1.0,f +24075,100%,Cape Verde,1.0,t +8379,,,1.0,t +15951,,,1.0,f +9491,,Malawi,1.0,t +40771,60%,Slovakia (Slovak Republic),2.0,t +4133,90%,Maldives,6.0,f +19463,100%,Holy See (Vatican City State),1.0,t +42789,,,1.0,f +7725,71%,,1.0,f +46464,100%,,1.0,t +17175,100%,Malta,8.0,t +268,100%,,1.0,f +3421,100%,,4.0,f +48925,,Gibraltar,1.0,t +15250,90%,Gibraltar,2.0,t +18269,86%,Fiji,12.0,f +11509,100%,Uganda,6.0,f +6453,0%,Malta,1.0,t +4416,,Brazil,1.0,f +37667,100%,Kenya,1.0,f +43290,,,2.0,f +30851,100%,,1.0,f +33787,71%,,1.0,f +2482,100%,Sao Tome and Principe,1.0,f +19131,,Djibouti,1.0,f +47592,100%,,2.0,f +35283,,,1.0,t +31029,100%,Guinea,1.0,t +33929,,Zimbabwe,2.0,f +28886,,Isle of Man,1.0,t +22799,,,1.0,t +8453,100%,Rwanda,6.0,t +21484,,,1.0,f +44756,,,1.0,f +10861,,,2.0,f +28610,,,1.0,t +4525,98%,El Salvador,9.0,t +26863,,Mexico,7.0,f +20334,99%,Niger,171.0,t +18000,100%,Slovakia (Slovak Republic),7.0,t +38652,100%,Uzbekistan,9.0,f +40672,100%,,1.0,f +5835,,China,1.0,t +24026,98%,Cape Verde,69.0,t +7454,88%,Tonga,1.0,f +39764,,Venezuela,2.0,t +36551,100%,Niue,1.0,f +14947,,,1.0,t +19866,,Maldives,2.0,f +29647,100%,Peru,1305.0,f +21730,,Philippines,5.0,t +15250,90%,Gibraltar,2.0,t +46393,,Guernsey,1.0,f +31354,100%,Niger,8.0,t +30776,100%,Ecuador,1.0,f +34816,100%,,1.0,t +39588,,Micronesia,1.0,t +8621,,,1.0,f +20598,,Greenland,2.0,f +28828,100%,Isle of Man,198.0,t +37646,100%,Estonia,60.0,f +39883,,,1.0,f +48409,,Estonia,60.0,t +35206,100%,Marshall Islands,1.0,f +26283,100%,Zimbabwe,6.0,t +21966,86%,Croatia,1.0,t +1511,,,1.0,f +2964,,,1.0,f +18578,,Sao Tome and Principe,1.0,t +982,99%,Marshall Islands,32.0,f +4884,100%,Marshall Islands,3.0,f +38784,100%,Pakistan,3.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +38848,90%,,1.0,t +30214,100%,,10.0,t +29956,,Papua New Guinea,1.0,t +30214,100%,,10.0,t +17552,,,1.0,f +23305,100%,Philippines,11.0,f +45539,,Marshall Islands,2.0,f +982,99%,Marshall Islands,32.0,f +982,99%,Marshall Islands,32.0,f +17701,100%,,4.0,t +982,99%,Marshall Islands,32.0,f +5638,,Ecuador,1.0,t +32453,100%,,3.0,t +18545,94%,Isle of Man,8.0,t +28110,100%,,1.0,f +39622,90%,Venezuela,2.0,f +15363,88%,Tunisia,1.0,f +4749,,Brazil,1.0,f +47129,,,1.0,t +39729,,Russian Federation,1.0,f +1089,100%,Indonesia,1.0,f +18545,94%,Isle of Man,8.0,t +12873,,Monaco,1.0,f +23735,,Isle of Man,2.0,t +16523,,Papua New Guinea,1.0,t +43290,,,2.0,f +8264,100%,Solomon Islands,3.0,f +18165,,Guinea,1.0,f +10831,100%,Turkmenistan,3.0,f +36971,100%,France,1.0,f +3493,,China,2.0,t +35014,,United Kingdom,1.0,f +43017,0%,Gibraltar,2.0,t +17891,100%,Nicaragua,5.0,t +23462,,,1.0,f +22093,100%,,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +7403,100%,,1.0,f +19181,100%,Niue,1.0,f +39497,100%,,1.0,t +31678,,,1.0,f +46475,,Micronesia,1.0,t +13509,97%,Puerto Rico,6.0,f +14881,100%,Brazil,2.0,t +43004,100%,Croatia,1.0,t +27452,100%,Puerto Rico,3.0,t +40393,100%,Guinea,2.0,f +36874,80%,,2.0,f +44871,75%,Indonesia,1.0,f +19597,100%,Russian Federation,1.0,f +25054,,Anguilla,1.0,t +45371,100%,Rwanda,2.0,f +46490,88%,Croatia,1.0,f +34979,100%,Anguilla,4.0,f +14279,,Lebanon,1.0,t +30916,100%,Tunisia,3.0,f +46345,,,1.0,t +6772,100%,Maldives,1.0,t +18335,100%,,1.0,t +27108,,France,1.0,f +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +42764,100%,Guernsey,13.0,t +13438,100%,,2.0,f +3391,100%,Iran,58.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +12276,,,1.0,f +15741,100%,Cuba,14.0,f +39952,100%,Tonga,21.0,f +8431,,Mexico,1.0,t +3391,100%,Iran,58.0,t +32862,,,1.0,t +31045,,Isle of Man,1.0,f +36047,100%,,6.0,t +46099,98%,Uzbekistan,28.0,f +40033,100%,Slovenia,1.0,t +46099,98%,Uzbekistan,28.0,f +6023,,Chad,1.0,t +34761,,,1.0,f +40812,,Sao Tome and Principe,1.0,f +9534,88%,Bouvet Island (Bouvetoya),1.0,t +44577,100%,Slovakia (Slovak Republic),2.0,f +8958,,Togo,1.0,f +11566,,Fiji,1.0,t +3429,90%,,2.0,f +15215,,,1.0,f +3301,,,1.0,t +46170,,Jersey,1.0,t +37183,50%,,1.0,f +92,,,1.0,f +15741,100%,Cuba,14.0,f +25369,100%,Chad,1.0,t +35130,100%,Rwanda,13.0,t +15741,100%,Cuba,14.0,f +15741,100%,Cuba,14.0,f +28833,100%,Venezuela,5.0,f +28833,100%,Venezuela,5.0,f +33129,90%,Mexico,1.0,t +42588,,El Salvador,1.0,t +11509,100%,Uganda,6.0,f +46216,100%,French Guiana,4.0,f +20329,100%,Reunion,21.0,f +2416,100%,Guinea,5.0,f +8255,,Russian Federation,1.0,t +502,,,2.0,f +28814,,Afghanistan,2.0,f +25987,,Venezuela,7.0,t +32275,,Uganda,1.0,t +10551,100%,France,2.0,t +41941,,,1.0,t +5330,90%,Guinea,2.0,t +24026,98%,Cape Verde,69.0,t +21654,96%,Solomon Islands,5.0,t +42485,100%,Greenland,3.0,f +36093,100%,Denmark,18.0,t +17333,,Chile,1.0,f +25914,100%,France,2.0,t +36093,100%,Denmark,18.0,t +13676,,Niue,1.0,t +36093,100%,Denmark,18.0,t +45519,100%,Puerto Rico,2.0,f +36093,100%,Denmark,18.0,t +45300,,,1.0,t +27492,100%,Nicaragua,2.0,t +30243,100%,Mauritania,2.0,t +2266,100%,Tonga,10.0,t +41878,91%,Maldives,47.0,f +27492,100%,Nicaragua,2.0,t +49302,,Sao Tome and Principe,1.0,f +23546,,,1.0,t +33239,,,1.0,f +35025,100%,Pakistan,4.0,f +40094,,Maldives,2.0,t +10551,100%,France,2.0,t +21492,100%,,1.0,f +44718,,,1.0,f +27289,99%,Reunion,12.0,t +43541,100%,Malta,2.0,t +18078,100%,Montserrat,13.0,t +2735,100%,Netherlands,6.0,f +46687,100%,,1.0,f +8466,94%,Saint Helena,7.0,f +15395,100%,Indonesia,1.0,f +40711,100%,Micronesia,1.0,f +46172,100%,Niue,1.0,t +9849,100%,Isle of Man,2.0,f +39917,,Mexico,1.0,f +19002,100%,Malawi,1.0,f +41924,100%,Russian Federation,2.0,t +18588,,Anguilla,1.0,t +20598,,Greenland,2.0,f +26417,100%,Reunion,1.0,t +42441,100%,Jersey,3.0,f +23461,,Slovenia,1.0,f +8764,,Maldives,4.0,t +35130,100%,Rwanda,13.0,t +6712,100%,Portugal,1.0,f +15636,,Uzbekistan,2.0,f +29545,100%,,1.0,t +18135,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +29373,,Tanzania,1.0,t +49375,100%,Peru,1.0,f +47545,97%,,2.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +27133,100%,,4.0,f +22746,,Nicaragua,1.0,t +19101,100%,Isle of Man,1.0,t +29647,100%,Peru,1305.0,f +26893,100%,,1.0,t +12262,100%,Niue,2.0,f +37421,90%,Isle of Man,2.0,t +37096,100%,Marshall Islands,1.0,t +9830,100%,Barbados,3.0,t +29733,,Russian Federation,15.0,f +2936,50%,Mauritania,1.0,t +29733,,Russian Federation,15.0,f +40284,100%,Gambia,1.0,f +40421,96%,Jersey,29.0,t +15846,,France,1.0,f +14036,100%,Micronesia,4.0,f +23124,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +26572,,,1.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +33454,100%,Tonga,7.0,f +26283,100%,Zimbabwe,6.0,t +30850,100%,Finland,5.0,t +26283,100%,Zimbabwe,6.0,t +9610,100%,,1.0,f +26283,100%,Zimbabwe,6.0,t +30850,100%,Finland,5.0,t +5992,,,1.0,f +49154,100%,Indonesia,3.0,t +34784,60%,Faroe Islands,19.0,t +25675,,,1.0,f +39566,,Sao Tome and Principe,4.0,t +31716,100%,Venezuela,4.0,f +9923,100%,Gambia,2.0,f +26484,100%,,1.0,f +7024,,Nicaragua,2.0,f +23331,75%,Isle of Man,1.0,f +36388,,Tonga,1.0,t +47475,,Chile,1.0,f +45923,100%,,1.0,f +17788,0%,Australia,2.0,t +3356,,Tunisia,1.0,t +10883,100%,Niger,8.0,t +10897,0%,,1.0,t +17698,,,1.0,t +20181,100%,Turks and Caicos Islands,1.0,t +31471,,Niger,1.0,f +5330,90%,Guinea,2.0,t +35022,,Turkmenistan,1.0,f +45840,100%,Mauritania,2.0,t +21843,100%,,1.0,f +9533,,Senegal,16.0,t +39555,100%,Marshall Islands,13.0,t +48166,,,1.0,t +41448,,,1.0,t +44891,,Bouvet Island (Bouvetoya),1.0,f +21753,100%,,1.0,t +15279,,Afghanistan,22.0,t +21648,100%,,1.0,f +38144,,Russian Federation,1.0,f +39984,,Philippines,1.0,t +13509,97%,Puerto Rico,6.0,f +40891,,Uganda,1.0,f +24863,,,1.0,f +33747,,Mauritania,1.0,f +33929,,Zimbabwe,2.0,f +8692,,,1.0,f +5046,,,1.0,t +12008,100%,,1.0,f +42369,,Isle of Man,1.0,t +46458,29%,Rwanda,1.0,f +40532,100%,,1.0,t +34071,,,1.0,t +46494,,Cocos (Keeling) Islands,1.0,f +9377,100%,Turks and Caicos Islands,1.0,f +5446,,Zimbabwe,2.0,f +17305,100%,,1.0,t +28606,0%,Monaco,4.0,f +1086,100%,Zimbabwe,1.0,f +49175,,Zimbabwe,1.0,f +13466,,Anguilla,1.0,f +4774,100%,Niue,4.0,t +35165,100%,,1.0,f +28606,0%,Monaco,4.0,f +35585,,Bouvet Island (Bouvetoya),2.0,f +12271,100%,Brazil,3.0,t +18272,90%,Vietnam,3.0,f +26472,50%,Indonesia,2.0,t +25997,,Sao Tome and Principe,1.0,f +6655,100%,Niue,1.0,f +23978,100%,,1.0,t +28606,0%,Monaco,4.0,f +10590,,Malta,1.0,t +28606,0%,Monaco,4.0,f +15397,,Turkmenistan,1.0,t +24933,,,1.0,t +48236,,Turkmenistan,3.0,t +13449,,Cocos (Keeling) Islands,2.0,f +13726,,,1.0,t +17106,100%,,1.0,f +5101,67%,Nauru,1.0,f +28828,100%,Isle of Man,198.0,t +8758,100%,Russian Federation,1.0,f +42381,,,1.0,t +7415,100%,Uzbekistan,8.0,f +12794,100%,Sao Tome and Principe,1.0,f +5161,,Papua New Guinea,2.0,t +25440,,Indonesia,4.0,t +30412,0%,,1.0,f +22395,100%,China,2.0,f +31899,100%,Bouvet Island (Bouvetoya),6.0,f +24527,,Indonesia,1.0,f +43568,100%,Sao Tome and Principe,5.0,t +13755,,Mauritania,2.0,t +1461,100%,Brazil,3.0,f +31864,,,1.0,f +2863,100%,,1.0,f +20278,0%,Faroe Islands,1.0,f +40775,100%,,2.0,f +18330,,Marshall Islands,3.0,f +14514,,China,80.0,t +5049,100%,Sao Tome and Principe,15.0,t +37425,,United Kingdom,1.0,f +28828,100%,Isle of Man,198.0,t +11509,100%,Uganda,6.0,f +30126,100%,Togo,5.0,t +39769,100%,Isle of Man,3.0,f +43,100%,Niue,1.0,f +8225,95%,Barbados,31.0,f +18365,100%,,1.0,f +9444,67%,Guinea,2.0,t +15103,,,1.0,t +26066,100%,,2.0,t +40680,75%,Lebanon,1.0,f +32033,100%,,1.0,t +20864,,Pakistan,1.0,t +10380,100%,,1.0,f +46012,90%,Estonia,1.0,f +8780,100%,United Kingdom,1.0,t +42543,,,1.0,f +12542,98%,Mauritania,19.0,t +12542,98%,Mauritania,19.0,t +11240,,Svalbard & Jan Mayen Islands,1.0,t +18222,100%,Barbados,2.0,f +525,100%,,1.0,f +15959,100%,Russian Federation,2.0,t +21185,,Kiribati,1.0,t +47408,88%,,1.0,f +19310,100%,Indonesia,1.0,t +15578,,Zimbabwe,1.0,t +15830,100%,,1.0,t +47545,97%,,2.0,t +42062,,Lebanon,1.0,t +16875,100%,Svalbard & Jan Mayen Islands,3.0,t +47391,,,2.0,t +13129,,Tonga,3.0,f +13797,100%,Mauritania,1.0,f +8063,,Guinea,1.0,t +24026,98%,Cape Verde,69.0,t +42587,100%,Vanuatu,3.0,f +13593,,Finland,1.0,f +16875,100%,Svalbard & Jan Mayen Islands,3.0,t +39211,100%,,2.0,f +38995,,Mexico,2.0,t +4914,0%,,5.0,f +29647,100%,Peru,1305.0,f +4787,100%,Vanuatu,1.0,f +32354,,Isle of Man,1.0,f +22721,100%,Ecuador,109.0,f +14960,100%,Vietnam,2.0,f +10898,100%,Barbados,4.0,t +14351,100%,,1.0,f +26130,94%,Sao Tome and Principe,4.0,t +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +19217,98%,Marshall Islands,46.0,f +41061,,Maldives,1.0,t +42438,100%,,1.0,t +25071,100%,Somalia,1.0,f +26130,94%,Sao Tome and Principe,4.0,t +26130,94%,Sao Tome and Principe,4.0,t +29879,,French Guiana,1.0,f +22721,100%,Ecuador,109.0,f +24775,97%,Montserrat,44.0,f +42587,100%,Vanuatu,3.0,f +28178,100%,Faroe Islands,1.0,t +16846,,Lebanon,1.0,f +43780,100%,,1.0,f +2788,,,1.0,t +21464,100%,Mauritania,1.0,f +6074,100%,,2.0,f +39518,,Isle of Man,1.0,t +29209,,Vietnam,1.0,f +44615,100%,French Polynesia,2.0,t +45987,100%,Jersey,6.0,t +30532,67%,Russian Federation,1.0,f +7168,100%,Montserrat,1.0,f +32556,90%,Estonia,11.0,t +24530,100%,,1.0,t +27773,100%,Togo,1.0,f +7085,100%,Guinea,1.0,f +26625,,Estonia,1.0,t +34789,,Faroe Islands,1.0,f +3708,,Bosnia and Herzegovina,1.0,t +31607,,Montserrat,1.0,f +46781,100%,Tonga,2.0,t +11490,,Rwanda,1.0,f +47693,,Bosnia and Herzegovina,2.0,t +41656,100%,Gambia,4.0,t +14342,,Papua New Guinea,2.0,t +8513,,Tonga,1.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +25917,,,1.0,t +43286,,Fiji,8.0,t +38941,,,3.0,t +6232,,Guinea,15.0,t +2959,,Niger,1.0,f +22244,100%,Finland,6.0,t +46099,98%,Uzbekistan,28.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +29647,100%,Peru,1305.0,f +17510,,Philippines,22.0,f +22244,100%,Finland,6.0,t +39117,,Moldova,1.0,t +27109,,Uganda,2.0,t +35921,,,1.0,t +31361,100%,,1.0,f +26307,,,1.0,f +8976,97%,Guinea,3.0,f +28112,,,1.0,f +10641,,,1.0,t +36643,98%,Maldives,17.0,f +36643,98%,Maldives,17.0,f +22134,75%,,1.0,f +2655,100%,Marshall Islands,2.0,t +24697,100%,Congo,1.0,t +47329,,,1.0,f +27990,50%,,1.0,f +28828,100%,Isle of Man,198.0,t +12107,100%,Fiji,2.0,t +47251,90%,,2.0,t +24026,98%,Cape Verde,69.0,t +29647,100%,Peru,1305.0,f +23022,67%,Niue,10.0,t +34399,,,1.0,t +44140,,Uzbekistan,1.0,t +5865,100%,Maldives,1.0,t +21776,,Monaco,1.0,f +19192,,French Polynesia,1.0,f +29647,100%,Peru,1305.0,f +12446,100%,,2.0,t +29647,100%,Peru,1305.0,f +34571,,,1.0,t +41609,100%,Niue,1.0,t +18,,Djibouti,1.0,t +20549,100%,Monaco,3.0,t +33469,,,1.0,f +10711,93%,Uganda,108.0,t +17378,,Gambia,1.0,t +28241,97%,Maldives,10.0,f +26404,100%,Kiribati,2.0,f +39211,100%,,2.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +26669,100%,Uzbekistan,1.0,f +17510,,Philippines,22.0,f +12088,100%,Kiribati,8.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +36000,50%,Uganda,1.0,t +33284,,Gambia,3.0,f +33284,,Gambia,3.0,f +44098,93%,,3.0,t +49831,,Papua New Guinea,1.0,f +14923,100%,Canada,1.0,f +1341,,Sao Tome and Principe,1.0,t +42772,,Guinea,3.0,f +42772,,Guinea,3.0,f +46566,,,1.0,f +30127,,Lithuania,1.0,f +29641,100%,,1.0,t +35065,,French Guiana,1.0,t +7690,75%,Vietnam,1.0,t +11538,100%,Papua New Guinea,5.0,t +7826,50%,Kiribati,1.0,f +5949,,,1.0,f +20606,100%,Congo,6.0,t +24775,97%,Montserrat,44.0,f +5049,100%,Sao Tome and Principe,15.0,t +28177,100%,Kenya,1.0,f +26998,,Malta,1.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +7893,100%,Isle of Man,1.0,t +17510,,Philippines,22.0,f +18712,95%,Turks and Caicos Islands,11.0,t +47594,100%,Kenya,17.0,t +4494,94%,Barbados,3.0,t +39540,,French Guiana,1.0,f +49232,100%,,1.0,f +31832,,Cocos (Keeling) Islands,3.0,f +12938,92%,Reunion,12.0,f +4511,100%,United Kingdom,1.0,t +12938,92%,Reunion,12.0,f +12938,92%,Reunion,12.0,f +12938,92%,Reunion,12.0,f +9057,90%,Kiribati,11.0,t +38279,93%,Mauritania,8.0,t +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +35568,60%,,1.0,t +34102,100%,Nicaragua,6.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +22915,,Faroe Islands,1.0,t +5727,,Micronesia,1.0,f +26863,,Mexico,7.0,f +33365,,Russian Federation,2.0,f +47387,,,1.0,f +9850,100%,El Salvador,1.0,t +30609,100%,Turks and Caicos Islands,3.0,f +9057,90%,Kiribati,11.0,t +29450,,,2.0,t +22331,99%,Rwanda,50.0,t +20334,99%,Niger,171.0,t +46329,,,1.0,f +42697,,Maldives,1.0,t +17550,100%,Mexico,2.0,f +21491,80%,,1.0,f +35130,100%,Rwanda,13.0,t +18698,100%,,1.0,f +8199,,,1.0,t +4432,100%,Wallis and Futuna,18.0,f +44334,100%,Lebanon,1.0,t +5555,100%,Denmark,11.0,t +2274,,,1.0,f +10394,,Grenada,1.0,f +3353,,,1.0,t +38838,,,1.0,t +9609,,,1.0,f +9583,,Zimbabwe,1.0,f +36907,100%,Russian Federation,1.0,t +41124,100%,Zimbabwe,3.0,t +36643,98%,Maldives,17.0,f +8759,86%,Slovenia,1.0,t +41037,100%,El Salvador,2.0,t +37357,100%,Vanuatu,1.0,f +1315,100%,Jersey,1.0,t +10497,,,1.0,t +23511,,Cocos (Keeling) Islands,1.0,t +15670,100%,Russian Federation,1.0,t +14043,100%,Chad,1.0,f +49541,100%,French Guiana,6.0,f +11753,100%,Gambia,11.0,t +31133,90%,Montserrat,2.0,t +10900,100%,,1.0,t +17884,,Marshall Islands,1.0,t +8238,91%,Barbados,15.0,t +6355,100%,Kiribati,2.0,f +49964,,,1.0,t +33268,,Turkmenistan,1.0,f +39157,67%,,1.0,t +19795,100%,Estonia,8.0,f +11634,,Rwanda,2.0,f +25114,100%,Nicaragua,2.0,f +25114,100%,Nicaragua,2.0,f +27147,0%,,1.0,f +24873,,,1.0,f +38563,92%,Russian Federation,2.0,f +142,100%,,3.0,f +45282,100%,,1.0,t +27043,,Ghana,2.0,f +42648,,Kenya,1.0,f +18383,,Wallis and Futuna,1.0,t +8181,100%,,2.0,t +21369,,,1.0,t +7515,,Micronesia,2.0,f +40325,93%,Costa Rica,4.0,f +43257,100%,Gibraltar,1.0,t +45709,100%,,1.0,f +14792,,Mexico,1.0,f +13133,67%,Denmark,1.0,t +27281,,,1.0,f +12677,,,1.0,f +15498,,Malta,2.0,f +25918,100%,Tonga,1.0,f +2992,100%,Tonga,1.0,f +31047,100%,Turkmenistan,1.0,f +41066,,,1.0,f +48971,100%,Guernsey,1.0,t +20885,,Turks and Caicos Islands,1.0,t +17745,,Zimbabwe,1.0,f +37920,70%,,17.0,t +15479,100%,Kenya,3.0,t +18078,100%,Montserrat,13.0,t +43237,40%,Montserrat,24.0,f +27039,,,1.0,t +18012,100%,,2.0,t +49184,,,1.0,t +49741,100%,Chad,1.0,t +9869,,Rwanda,1.0,t +33198,100%,Mauritania,12.0,f +27153,100%,Russian Federation,2.0,f +30045,100%,El Salvador,5.0,f +13858,100%,Russian Federation,2.0,t +29647,100%,Peru,1305.0,f +34641,,Svalbard & Jan Mayen Islands,1.0,f +40815,,Nauru,1.0,f +14227,80%,Svalbard & Jan Mayen Islands,1.0,t +7461,100%,,1.0,t +24893,100%,Rwanda,9.0,f +49768,80%,Montserrat,7.0,t +40443,,Gambia,1.0,t +17787,,Kenya,2.0,t +5896,100%,China,3.0,t +32959,100%,Togo,2.0,t +21692,100%,Ecuador,3.0,t +21744,,,1.0,f +17447,100%,El Salvador,4.0,t +42508,,,1.0,t +27731,,Afghanistan,1.0,t +20334,99%,Niger,171.0,t +44124,67%,Niger,1.0,t +20989,100%,Marshall Islands,8.0,f +45000,100%,Montserrat,10.0,t +2416,100%,Guinea,5.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +17510,,Philippines,22.0,f +19475,100%,Mauritania,2.0,t +21626,,,1.0,f +46023,,,1.0,f +1917,,Croatia,1.0,t +6636,,Zimbabwe,1.0,f +32527,100%,Tonga,7.0,f +49268,,Chad,1.0,t +2429,100%,Tonga,6.0,f +31367,100%,Uzbekistan,1.0,t +31024,,,1.0,t +17046,,,1.0,t +5519,100%,Tonga,1.0,f +3174,100%,,1.0,t +23787,,Christmas Island,1.0,f +15636,,Uzbekistan,2.0,f +43583,,Zimbabwe,1.0,f +15646,,Tonga,1.0,f +20814,,,1.0,f +9531,,Sao Tome and Principe,1.0,t +16401,100%,Guinea,2.0,t +35615,100%,,1.0,t +16489,100%,Russian Federation,42.0,t +47025,90%,Guinea,2.0,t +24874,100%,,1.0,t +13010,,Guernsey,1.0,t +488,100%,Maldives,18.0,f +28094,,,1.0,t +27851,,United Kingdom,6.0,t +4988,,Croatia,1.0,f +41371,,Marshall Islands,1.0,f +2545,100%,Chad,2.0,t +21071,100%,Marshall Islands,2.0,t +17600,,Croatia,1.0,f +43019,,,1.0,f +30214,100%,,10.0,t +31772,,Bouvet Island (Bouvetoya),2.0,t +28854,,,1.0,f +47594,100%,Kenya,17.0,t +24026,98%,Cape Verde,69.0,t +11643,,,1.0,t +23876,,Malta,3.0,t +48551,,Philippines,1.0,f +41978,40%,,1.0,t +40291,100%,,1.0,t +4129,100%,Niue,3.0,t +15004,100%,Uzbekistan,88.0,f +6360,,Faroe Islands,1.0,t +29647,100%,Peru,1305.0,f +9908,100%,,1.0,t +42289,0%,,1.0,f +8764,,Maldives,4.0,t +419,,Faroe Islands,1.0,t +14103,100%,Uzbekistan,1.0,f +37830,100%,,1.0,f +45143,100%,Brazil,2.0,t +41924,100%,Russian Federation,2.0,t +6739,100%,Gibraltar,1.0,t +2655,100%,Marshall Islands,2.0,t +46379,100%,,2.0,f +14881,100%,Brazil,2.0,t +18456,,Guinea,1.0,f +38592,90%,Senegal,2.0,f +28360,,Croatia,1.0,t +11753,100%,Gambia,11.0,t +44265,,,1.0,t +16913,100%,,2.0,t +25531,,Zimbabwe,1.0,f +37799,100%,Netherlands,2.0,f +42390,100%,Wallis and Futuna,96.0,t +40421,96%,Jersey,29.0,t +38338,,United Kingdom,1.0,f +10142,100%,Senegal,1.0,f +35130,100%,Rwanda,13.0,t +9057,90%,Kiribati,11.0,t +9057,90%,Kiribati,11.0,t +7122,,,1.0,t +13225,,Jersey,1.0,f +1314,,Zimbabwe,1.0,t +41966,100%,Micronesia,1.0,t +43344,60%,Maldives,5.0,f +19768,100%,Russian Federation,1.0,f +7247,100%,,1.0,t +23330,100%,Guinea,1.0,t +24189,,Tonga,1.0,f +12242,,Chile,1.0,f +37799,100%,Netherlands,2.0,f +15189,79%,China,21.0,f +18138,100%,Anguilla,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +27717,,,1.0,t +40899,100%,,1.0,t +19094,100%,Costa Rica,1.0,t +11815,100%,Russian Federation,2.0,t +39054,,Congo,1.0,t +3127,100%,Rwanda,36.0,f +42491,,Turkmenistan,1.0,f +3127,100%,Rwanda,36.0,f +28828,100%,Isle of Man,198.0,t +26580,100%,Uzbekistan,2.0,t +14678,92%,Russian Federation,3.0,f +35466,100%,,2.0,f +8710,,,1.0,t +48736,,Mauritania,1.0,f +13555,100%,Kiribati,2.0,f +18943,100%,Mauritania,2.0,f +31928,,,1.0,f +47147,,Anguilla,1.0,f +22214,100%,El Salvador,1.0,t +30850,100%,Finland,5.0,t +9939,100%,Philippines,24.0,f +10955,,,1.0,f +13048,100%,Uzbekistan,2.0,f +26336,100%,,1.0,f +32936,,,1.0,f +27581,,,1.0,f +47323,50%,Turks and Caicos Islands,7.0,f +9939,100%,Philippines,24.0,f +44348,100%,,3.0,t +10800,100%,China,2.0,t +24026,98%,Cape Verde,69.0,t +43880,60%,,1.0,t +37633,100%,,1.0,f +25173,,Russian Federation,1.0,f +33213,,Isle of Man,1.0,t +41878,91%,Maldives,47.0,f +9939,100%,Philippines,24.0,f +36308,,Barbados,1.0,f +9939,100%,Philippines,24.0,f +24026,98%,Cape Verde,69.0,t +8181,100%,,2.0,t +36194,,Somalia,1.0,f +44832,,Chad,1.0,f +38787,,Faroe Islands,10.0,f +47404,,Micronesia,1.0,f +29647,100%,Peru,1305.0,f +25716,,Ghana,2.0,f +42792,100%,Faroe Islands,2.0,t +4646,100%,Maldives,8.0,f +19237,,,1.0,f +23761,,Somalia,5.0,t +29647,100%,Peru,1305.0,f +15867,100%,United Kingdom,1.0,f +29647,100%,Peru,1305.0,f +27972,94%,Brazil,27.0,f +35219,97%,Tonga,4.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +43152,100%,Nicaragua,82.0,t +24769,100%,Isle of Man,1.0,t +30899,,Reunion,8.0,f +39751,100%,Niue,1.0,f +29647,100%,Peru,1305.0,f +30899,,Reunion,8.0,f +25745,,Sao Tome and Principe,1.0,t +30214,100%,,10.0,t +30314,100%,,1.0,f +4481,100%,,1.0,f +22463,80%,Montserrat,2.0,f +26541,100%,Nicaragua,12.0,f +9066,90%,Estonia,1.0,f +560,,,1.0,t +35130,100%,Rwanda,13.0,t +7025,100%,Jersey,1.0,f +36830,,Ghana,1.0,f +11685,,,1.0,t +47180,,,1.0,f +15482,,,1.0,t +11436,100%,,1.0,t +32314,100%,Jersey,7.0,t +7714,100%,,2.0,t +3846,100%,French Guiana,1.0,t +32314,100%,Jersey,7.0,t +17177,,Chad,2.0,f +32314,100%,Jersey,7.0,t +29480,100%,French Polynesia,6.0,f +48784,,,2.0,t +27339,100%,Cook Islands,3.0,t +28640,100%,Uzbekistan,3.0,t +9518,100%,,3.0,t +12576,,,1.0,t +11753,100%,Gambia,11.0,t +17539,100%,,1.0,f +11753,100%,Gambia,11.0,t +12177,100%,France,6.0,t +11753,100%,Gambia,11.0,t +4985,,,1.0,f +47275,,Nicaragua,1.0,f +18203,86%,,1.0,f +11012,100%,Puerto Rico,3.0,f +31444,100%,Reunion,25.0,f +19867,100%,,1.0,t +5751,,Brazil,1.0,f +48236,,Turkmenistan,3.0,t +35523,,Guinea,1.0,t +8096,100%,Vietnam,2.0,f +36151,,Zimbabwe,1.0,f +31444,100%,Reunion,25.0,f +9802,,Indonesia,38.0,t +14678,92%,Russian Federation,3.0,f +31444,100%,Reunion,25.0,f +14678,92%,Russian Federation,3.0,f +31444,100%,Reunion,25.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +33823,78%,France,17.0,t +18310,,,1.0,f +43152,100%,Nicaragua,82.0,t +20156,,,2.0,t +20156,,,2.0,t +16129,,Ecuador,2.0,t +48050,100%,,2.0,t +29647,100%,Peru,1305.0,f +33011,,Micronesia,1.0,t +12607,,Niue,1.0,f +39230,,Nauru,1.0,f +21170,83%,French Guiana,1.0,f +2485,60%,,2.0,t +6694,,Afghanistan,1.0,f +3484,,,1.0,t +30214,100%,,10.0,t +5049,100%,Sao Tome and Principe,15.0,t +35724,100%,Gambia,1.0,f +31912,80%,,1.0,t +12103,,,1.0,f +8680,,,1.0,f +2527,,,2.0,f +2527,,,2.0,f +4228,,Niger,11.0,f +6968,,Bouvet Island (Bouvetoya),2.0,f +10741,100%,Micronesia,2.0,f +5893,100%,Guinea,4.0,f +31738,,Croatia,1.0,f +25571,100%,Kiribati,3.0,t +48771,,French Guiana,1.0,t +23694,,Barbados,1.0,f +13965,,,1.0,f +13134,,,1.0,t +31217,60%,Bosnia and Herzegovina,1.0,f +20967,100%,Congo,3.0,t +14408,,Niue,1.0,t +42507,,Turks and Caicos Islands,1.0,f +16219,100%,Estonia,1.0,f +30661,100%,,2.0,f +49097,67%,Niger,5.0,t +30661,100%,,2.0,f +37999,100%,Senegal,20.0,t +37999,100%,Senegal,20.0,t +34603,,Gambia,1.0,f +40056,100%,Kiribati,1.0,f +37999,100%,Senegal,20.0,t +11628,,Kiribati,1.0,f +8331,70%,Uganda,2.0,f +47584,100%,,1.0,t +34035,,,1.0,t +14901,,,1.0,f +28372,100%,Indonesia,12.0,f +10492,,,1.0,f +17394,0%,Nicaragua,49.0,f +1778,,,1.0,f +33288,,,1.0,f +36034,57%,Mauritania,1.0,t +24719,,Niue,1.0,t +20662,0%,Wallis and Futuna,9.0,t +10883,100%,Niger,8.0,t +44740,,Bouvet Island (Bouvetoya),2.0,t +19401,100%,France,5.0,f +26958,,Afghanistan,1.0,f +12252,50%,,1.0,f +20662,0%,Wallis and Futuna,9.0,t +2644,100%,Zimbabwe,11.0,t +18630,,Costa Rica,1.0,f +16075,,Philippines,1.0,f +41989,100%,El Salvador,1.0,t +6299,100%,,1.0,t +30753,100%,Anguilla,2.0,t +12865,,Micronesia,1.0,f +30652,100%,Sao Tome and Principe,1.0,t +15688,,Papua New Guinea,1.0,f +3481,,Guernsey,1.0,t +44387,100%,Malta,1.0,f +35208,,Indonesia,1.0,f +4498,100%,,1.0,t +2387,100%,,1.0,t +26907,,,1.0,f +16804,,Vietnam,1.0,t +24889,100%,,1.0,t +16605,,Micronesia,1.0,f +15084,100%,Zimbabwe,1.0,t +2997,100%,,1.0,t +35692,88%,Philippines,1.0,f +22047,100%,,1.0,t +738,,Togo,1.0,t +18650,100%,Chad,1.0,t +20998,,Russian Federation,1.0,t +49804,100%,United Kingdom,1.0,t +37202,,Lebanon,1.0,t +26701,100%,,2.0,f +13270,100%,Anguilla,3.0,t +16047,80%,Uzbekistan,6.0,f +15699,100%,Niue,4.0,f +16141,,United Kingdom,1.0,f +31444,100%,Reunion,25.0,f +26074,100%,,1.0,t +31444,100%,Reunion,25.0,f +18619,100%,Slovakia (Slovak Republic),1.0,f +26661,,Netherlands,1.0,t +31444,100%,Reunion,25.0,f +48883,100%,Indonesia,1.0,f +13043,,Ukraine,1.0,f +8486,,,2.0,f +38379,100%,Jersey,2.0,f +30216,98%,Maldives,34.0,f +16460,,,1.0,f +13403,96%,Maldives,21.0,t +31444,100%,Reunion,25.0,f +21764,100%,Uganda,1.0,t +8111,,,1.0,t +34455,100%,Isle of Man,1.0,t +49785,,Ghana,9.0,f +45911,0%,,2.0,f +32093,,Svalbard & Jan Mayen Islands,1.0,t +47314,80%,Russian Federation,1.0,t +22266,,Monaco,1.0,t +11026,100%,Vanuatu,2.0,f +2835,100%,Vanuatu,1.0,f +29735,86%,Isle of Man,2.0,f +30809,100%,,1.0,f +14386,100%,Nicaragua,8.0,f +39952,100%,Tonga,21.0,f +40795,100%,Somalia,2.0,f +31899,100%,Bouvet Island (Bouvetoya),6.0,f +22345,,Lebanon,3.0,t +20761,90%,,1.0,t +15135,,,2.0,f +18100,,Niue,1.0,t +45723,,Uzbekistan,1.0,t +35084,,,1.0,f +146,100%,Sao Tome and Principe,1.0,t +45401,67%,Barbados,1.0,f +33037,50%,,1.0,f +24900,,Zimbabwe,1.0,f +45272,,,3.0,t +29040,100%,Lebanon,1.0,f +9795,,,1.0,f +41340,100%,Tanzania,3.0,t +40904,,Chad,2.0,f +23361,100%,Marshall Islands,3.0,t +46234,100%,Sao Tome and Principe,3.0,f +46326,,,1.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +23219,,,1.0,f +6092,100%,,2.0,t +11365,,,1.0,t +37580,100%,Jersey,5.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +11230,,Guinea,2.0,t +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +34402,79%,Reunion,28.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +37580,100%,Jersey,5.0,f +14514,,China,80.0,t +11822,70%,,7.0,t +43725,100%,China,4.0,t +33290,100%,Ecuador,4.0,t +11661,0%,Guernsey,2.0,f +13517,,,1.0,t +45919,100%,Montserrat,9.0,t +6030,,Nauru,2.0,t +14420,,El Salvador,1.0,f +20334,99%,Niger,171.0,t +39272,100%,Jersey,2.0,f +16489,100%,Russian Federation,42.0,t +16552,,,1.0,t +23097,100%,Niue,1.0,f +34833,,Barbados,1.0,f +38279,93%,Mauritania,8.0,t +48274,,Cape Verde,1.0,t +33913,,El Salvador,2.0,f +5,,,1.0,f +21836,100%,Mauritania,3.0,f +3421,100%,,4.0,f +42864,,,1.0,f +42330,100%,Isle of Man,1.0,f +45503,100%,Nicaragua,2.0,f +980,,Djibouti,4.0,f +4352,,United Kingdom,1.0,t +5233,100%,Montserrat,6.0,t +18845,,Svalbard & Jan Mayen Islands,2.0,f +46842,75%,Portugal,13.0,t +47438,,Kiribati,1.0,t +38420,90%,Christmas Island,8.0,f +43451,,Tonga,1.0,f +38420,90%,Christmas Island,8.0,f +28828,100%,Isle of Man,198.0,t +42421,100%,Costa Rica,5.0,t +7856,90%,Anguilla,2.0,t +48333,100%,Chad,2.0,t +22990,,Russian Federation,1.0,t +10434,100%,United Kingdom,4.0,f +18876,60%,Netherlands,26.0,f +50055,,,1.0,t +25249,0%,,1.0,f +13647,100%,,3.0,f +19751,,Turkmenistan,1.0,t +45458,100%,,3.0,f +2621,100%,,1.0,t +9102,,,1.0,f +9964,,Afghanistan,2.0,t +48866,,,1.0,t +20382,100%,Svalbard & Jan Mayen Islands,4.0,t +35817,,Somalia,1.0,f +46959,,,1.0,f +490,100%,Bosnia and Herzegovina,6.0,f +31567,50%,,1.0,f +15380,,,1.0,f +50072,100%,Marshall Islands,3.0,t +30602,98%,,29.0,f +235,100%,Kenya,1.0,f +37646,100%,Estonia,60.0,f +33290,100%,Ecuador,4.0,t +30185,100%,El Salvador,1.0,t +41167,,Turkmenistan,1.0,f +48409,,Estonia,60.0,t +20334,99%,Niger,171.0,t +38667,100%,Mauritania,2.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +21390,90%,,2.0,f +47274,100%,Tonga,48.0,f +25065,,Costa Rica,1.0,f +49808,,,1.0,f +22803,,Uganda,1.0,f +13686,,France,3.0,f +14463,,,1.0,t +30602,98%,,29.0,f +30602,98%,,29.0,f +30602,98%,,29.0,f +27090,100%,Tonga,2.0,t +27360,,Grenada,2.0,t +3896,100%,Niue,1.0,f +34371,,,1.0,t +46952,,United Kingdom,1.0,f +26059,,Niue,1.0,f +23022,67%,Niue,10.0,t +32169,,Denmark,3.0,t +13001,,Somalia,1.0,t +2025,,,1.0,f +24342,,Tonga,1.0,t +17394,0%,Nicaragua,49.0,f +9299,100%,Monaco,1.0,f +29911,100%,Russian Federation,4.0,f +22440,,Kenya,1.0,f +477,,,1.0,t +11562,100%,Ghana,5.0,f +13806,100%,,1.0,f +4876,,Senegal,9.0,f +45614,100%,Ecuador,1.0,t +25723,100%,Vietnam,3.0,t +20853,100%,,3.0,t +40421,96%,Jersey,29.0,t +33877,100%,Uzbekistan,2.0,f +48409,,Estonia,60.0,t +39410,100%,Marshall Islands,1.0,f +26020,,Palestinian Territory,1.0,f +13350,100%,Maldives,1.0,t +37646,100%,Estonia,60.0,f +48409,,Estonia,60.0,t +25710,90%,Ecuador,1.0,t +27537,,Niue,1.0,t +44309,,Gambia,1.0,t +29455,100%,Kenya,3.0,f +36320,100%,Niue,1.0,f +1366,25%,Fiji,4.0,f +32720,,Cocos (Keeling) Islands,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +34096,100%,Andorra,10.0,f +1366,25%,Fiji,4.0,f +42829,,Niue,1.0,f +21041,81%,Vietnam,3.0,f +37609,,Russian Federation,1.0,t +41878,91%,Maldives,47.0,f +27626,,Micronesia,4.0,f +21125,100%,Tonga,2.0,f +30536,100%,Pakistan,7.0,f +42764,100%,Guernsey,13.0,t +22336,,Venezuela,1.0,f +35130,100%,Rwanda,13.0,t +5132,,Russian Federation,1.0,t +20664,100%,Nauru,4.0,f +25955,100%,Kenya,1.0,t +3448,100%,Russian Federation,2.0,t +19958,100%,Congo,40.0,t +34776,100%,,1.0,f +1015,,,1.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +11935,,,1.0,f +29718,100%,Philippines,6.0,t +22463,80%,Montserrat,2.0,f +24046,,,1.0,f +31202,90%,Kiribati,107.0,f +24367,,Niue,1.0,t +47123,100%,Niue,1.0,t +14398,,Niger,1.0,f +4528,,Bosnia and Herzegovina,1.0,t +10059,100%,Kenya,1.0,t +50017,,Malawi,1.0,t +24197,100%,Ghana,1.0,f +28238,,El Salvador,1.0,f +40180,100%,Marshall Islands,1.0,f +13403,96%,Maldives,21.0,t +40317,100%,Uzbekistan,2.0,t +5465,,,1.0,f +42707,,Costa Rica,1.0,f +27304,,,1.0,t +33214,,,1.0,f +21488,,,1.0,f +2916,100%,Nicaragua,1.0,t +34102,100%,Nicaragua,6.0,f +34102,100%,Nicaragua,6.0,f +41769,100%,Brazil,4.0,t +48958,,,1.0,f +38598,100%,Marshall Islands,1.0,f +40482,100%,Niue,2.0,f +43389,,,1.0,f +35701,,Zimbabwe,2.0,t +25095,100%,Senegal,4.0,f +37580,100%,Jersey,5.0,f +15713,,Gibraltar,1.0,t +6963,100%,,2.0,t +26559,,Guinea,4.0,t +47915,90%,,2.0,t +40366,97%,Micronesia,14.0,t +46274,100%,,1.0,f +47125,93%,Kiribati,4.0,f +4432,100%,Wallis and Futuna,18.0,f +4432,100%,Wallis and Futuna,18.0,f +4432,100%,Wallis and Futuna,18.0,f +21497,,,1.0,f +4432,100%,Wallis and Futuna,18.0,f +19475,100%,Mauritania,2.0,t +43237,40%,Montserrat,24.0,f +40705,100%,,1.0,f +38915,,,1.0,f +38193,100%,French Guiana,1.0,t +13757,,Papua New Guinea,1.0,t +5319,100%,Kiribati,2.0,f +34864,,,1.0,t +31046,,,1.0,t +14305,100%,,1.0,t +47915,90%,,2.0,t +47219,,Gambia,1.0,f +49167,100%,Guinea,3.0,f +47323,50%,Turks and Caicos Islands,7.0,f +7151,,Uzbekistan,1.0,f +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +2865,80%,,1.0,f +49167,100%,Guinea,3.0,f +42790,,Marshall Islands,1.0,t +19385,80%,Malawi,2.0,f +15176,,Vanuatu,10.0,f +31948,100%,Lebanon,1.0,t +2742,,,1.0,t +35432,,,1.0,t +31344,,Cape Verde,1.0,f +14772,,Zimbabwe,1.0,t +18272,90%,Vietnam,3.0,f +37578,100%,,1.0,t +13994,,China,3.0,f +42125,97%,Tonga,4.0,f +35701,,Zimbabwe,2.0,t +40242,100%,United Kingdom,1.0,t +19378,,Zimbabwe,1.0,t +17394,0%,Nicaragua,49.0,f +28064,70%,Svalbard & Jan Mayen Islands,5.0,f +30094,100%,,1.0,t +33290,100%,Ecuador,4.0,t +429,80%,Russian Federation,2.0,f +7510,100%,,1.0,t +39469,100%,Micronesia,11.0,t +15209,90%,Chad,1.0,t +41190,67%,Niue,1.0,t +14645,,Niue,1.0,f +1926,100%,Bahrain,1.0,t +20625,,Uzbekistan,1.0,t +33749,93%,Mauritania,7.0,f +22767,,,1.0,f +3775,100%,Uzbekistan,2.0,f +45413,,Montserrat,1.0,f +12519,100%,Cocos (Keeling) Islands,1.0,t +39894,,,1.0,f +31484,,El Salvador,1.0,t +33090,,Fiji,1.0,t +37765,,Somalia,1.0,t +36888,,,1.0,t +28806,100%,Mexico,2.0,t +45738,,,1.0,t +26171,100%,Uruguay,1.0,f +24939,0%,,1.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +7664,,,1.0,f +19842,85%,Turkmenistan,53.0,f +3200,75%,Turkmenistan,2.0,t +16937,70%,Cocos (Keeling) Islands,3.0,f +19842,85%,Turkmenistan,53.0,f +14379,,Bouvet Island (Bouvetoya),1.0,f +38760,,Uruguay,1.0,t +19842,85%,Turkmenistan,53.0,f +22575,,Micronesia,1.0,t +19842,85%,Turkmenistan,53.0,f +24453,,,1.0,t +7064,,Nicaragua,1.0,t +12786,100%,Mauritania,2.0,f +15176,,Vanuatu,10.0,f +15176,,Vanuatu,10.0,f +49009,,Guinea,1.0,f +12786,100%,Mauritania,2.0,f +13633,,,2.0,f +18017,,,1.0,t +18910,100%,Mauritania,5.0,f +35957,,Faroe Islands,2.0,t +5632,100%,Uganda,1.0,f +19943,63%,Isle of Man,34.0,f +28581,100%,Sao Tome and Principe,2.0,f +25018,100%,Eritrea,3.0,f +41933,,,1.0,f +27793,67%,,1.0,t +39053,,Palestinian Territory,1.0,f +43675,70%,Micronesia,2.0,f +11753,100%,Gambia,11.0,t +8439,97%,Rwanda,17.0,t +20334,99%,Niger,171.0,t +29272,100%,Suriname,1.0,f +21103,,Papua New Guinea,1.0,t +21890,,France,1.0,t +22555,100%,Somalia,1.0,t +49011,,Anguilla,1.0,t +20661,,Malawi,1.0,t +34037,0%,Togo,2.0,f +9429,100%,,4.0,f +7350,,,2.0,t +21026,,,1.0,f +22212,,French Guiana,1.0,f +23804,100%,Gambia,1.0,t +41932,100%,,2.0,t +39836,100%,Ecuador,2.0,t +30602,98%,,29.0,f +30602,98%,,29.0,f +37377,,,1.0,f +45169,80%,Bosnia and Herzegovina,1.0,f +17394,0%,Nicaragua,49.0,f +35712,100%,Marshall Islands,1.0,t +46125,,Uzbekistan,1.0,f +39304,75%,Togo,2.0,t +42232,100%,Malawi,1.0,t +26366,100%,Sao Tome and Principe,2.0,f +7478,,,2.0,t +47751,100%,,1.0,f +38779,100%,,2.0,f +30602,98%,,29.0,f +23273,50%,Switzerland,3.0,f +7807,,,1.0,t +48332,100%,,1.0,f +30594,100%,,1.0,t +3250,,Switzerland,2.0,t +7405,,Vanuatu,1.0,f +21570,,Mauritania,1.0,f +1932,,Palestinian Territory,1.0,f +22794,50%,Cape Verde,36.0,t +39002,100%,Peru,1.0,f +26125,33%,,1.0,t +35928,,,1.0,f +15529,,,1.0,f +12639,,Turkmenistan,1.0,t +43599,,Chile,1.0,t +39529,,Croatia,2.0,t +39208,100%,Papua New Guinea,2.0,f +23903,,Nauru,1.0,f +14528,,France,1.0,f +35442,,Russian Federation,14.0,f +34624,,Reunion,1.0,t +19083,,Kiribati,1.0,t +16232,,Lebanon,1.0,t +10725,100%,Bouvet Island (Bouvetoya),1.0,f +5792,100%,Bosnia and Herzegovina,1.0,t +36477,,Kenya,1.0,f +35766,,Uzbekistan,1.0,t +29718,100%,Philippines,6.0,t +20909,100%,Gambia,1.0,f +17524,100%,Reunion,4.0,t +39911,,,1.0,f +35393,,Russian Federation,1.0,f +12305,100%,Puerto Rico,1.0,f +26620,100%,Philippines,2.0,t +17524,100%,Reunion,4.0,t +41444,100%,,1.0,t +17524,100%,Reunion,4.0,t +11608,,,1.0,f +536,100%,Philippines,1.0,t +32371,,Isle of Man,2.0,t +6894,80%,Estonia,47.0,t +9577,,Chile,1.0,t +17525,,Micronesia,2.0,t +48609,100%,Uzbekistan,2.0,f +7414,100%,Russian Federation,1.0,t +10784,100%,Niue,1.0,f +20549,100%,Monaco,3.0,t +47163,,,1.0,f +28766,100%,Estonia,16.0,f +16014,,,1.0,f +40109,,,2.0,f +41901,,,1.0,f +29883,90%,Isle of Man,26.0,t +12128,100%,Djibouti,1.0,f +7875,,Togo,1.0,f +29883,90%,Isle of Man,26.0,t +34252,,,1.0,f +34475,100%,,2.0,t +46199,80%,Somalia,3.0,f +29883,90%,Isle of Man,26.0,t +44157,,Rwanda,6.0,t +48831,100%,Cape Verde,5.0,t +32386,97%,Indonesia,19.0,f +42792,100%,Faroe Islands,2.0,t +31202,90%,Kiribati,107.0,f +4284,100%,,1.0,f +4488,,,1.0,f +26298,,Venezuela,1.0,t +29883,90%,Isle of Man,26.0,t +29883,90%,Isle of Man,26.0,t +10338,,Sao Tome and Principe,1.0,t +32596,100%,Gibraltar,2.0,f +38247,100%,Russian Federation,1.0,t +16687,,Kenya,1.0,t +29883,90%,Isle of Man,26.0,t +29883,90%,Isle of Man,26.0,t +25039,,Saint Helena,7.0,t +37364,,Denmark,4.0,f +30536,100%,Pakistan,7.0,f +24026,98%,Cape Verde,69.0,t +29883,90%,Isle of Man,26.0,t +25116,,,1.0,f +37293,92%,Russian Federation,15.0,f +37364,,Denmark,4.0,f +23438,,,1.0,f +29883,90%,Isle of Man,26.0,t +31626,100%,Indonesia,1.0,t +8754,89%,El Salvador,1.0,f +42050,100%,Turks and Caicos Islands,1.0,f +31594,100%,Philippines,19.0,t +28091,,Sao Tome and Principe,1.0,t +14953,100%,Bouvet Island (Bouvetoya),4.0,t +30536,100%,Pakistan,7.0,f +47468,,,1.0,f +44696,,,1.0,f +28643,95%,Andorra,1.0,t +19231,100%,Ukraine,2.0,t +28188,100%,Nicaragua,4.0,t +3783,71%,Faroe Islands,1.0,f +46414,,,2.0,f +15749,,Uruguay,1.0,f +20067,100%,,1.0,f +40074,,,1.0,t +47823,,,1.0,f +25545,,,1.0,t +24912,100%,Sao Tome and Principe,5.0,f +11356,,Bosnia and Herzegovina,1.0,t +26788,100%,Kiribati,2.0,t +16429,,Kenya,1.0,t +41398,75%,,1.0,f +11914,,Brazil,1.0,f +49045,,,1.0,f +4315,100%,,2.0,t +44849,73%,Russian Federation,3.0,f +9519,,Tonga,1.0,t +28826,100%,Switzerland,2.0,f +5619,,Isle of Man,1.0,t +39704,,Montserrat,1.0,t +22278,100%,Micronesia,1.0,f +35841,100%,Saint Helena,4.0,f +19492,,Barbados,1.0,f +42207,100%,Kenya,1.0,f +10895,100%,,1.0,t +30252,,Lithuania,1.0,t +35130,100%,Rwanda,13.0,t +45023,88%,,1.0,f +4125,100%,Guernsey,1.0,t +29313,,Micronesia,1.0,f +34881,100%,China,6.0,f +17394,0%,Nicaragua,49.0,f +10688,100%,United Kingdom,1.0,f +15709,,Russian Federation,2.0,f +3444,,Indonesia,1.0,t +31193,,Uganda,3.0,t +32959,100%,Togo,2.0,t +23305,100%,Philippines,11.0,f +43152,100%,Nicaragua,82.0,t +24026,98%,Cape Verde,69.0,t +44089,,Kenya,1.0,t +47782,,,1.0,f +19091,95%,Cook Islands,18.0,t +15810,100%,Niger,2.0,f +25094,,,1.0,t +12774,100%,,1.0,f +30536,100%,Pakistan,7.0,f +30536,100%,Pakistan,7.0,f +2927,100%,Uganda,10.0,t +32465,100%,Isle of Man,3.0,t +1749,75%,,2.0,t +7408,56%,,2.0,t +11674,100%,Uzbekistan,4.0,f +8299,100%,Kiribati,1.0,t +35370,0%,Afghanistan,1.0,f +158,,Faroe Islands,1.0,f +8624,,Chad,1.0,t +33382,100%,Gambia,1.0,f +49854,,Chile,1.0,f +28828,100%,Isle of Man,198.0,t +11445,,Isle of Man,1.0,t +23808,100%,,1.0,f +27726,100%,Tonga,5.0,f +28934,,,1.0,t +23150,100%,Kenya,1.0,t +9857,100%,,1.0,t +34934,,,1.0,t +46858,,Gambia,1.0,f +45098,,,1.0,t +37996,,Cape Verde,4.0,t +29625,100%,Ecuador,2.0,f +49242,,Turkmenistan,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +47578,,Sao Tome and Principe,2.0,t +3654,100%,Guernsey,2.0,f +2740,,Estonia,5.0,f +30145,,,3.0,t +32346,100%,United Kingdom,3.0,f +34809,100%,Vietnam,2.0,t +6616,60%,Jersey,1.0,t +15861,100%,Chad,1.0,t +38513,,Congo,1.0,f +35625,98%,Estonia,25.0,t +30536,100%,Pakistan,7.0,f +30536,100%,Pakistan,7.0,f +803,,Cuba,1.0,f +34675,100%,Svalbard & Jan Mayen Islands,1.0,t +9717,,Russian Federation,1.0,f +20612,,,1.0,t +21118,100%,Russian Federation,1.0,t +7970,90%,Isle of Man,3.0,t +17047,,Vietnam,1.0,f +43723,100%,,1.0,t +1170,100%,Papua New Guinea,2.0,f +6088,100%,,14.0,t +30145,,,3.0,t +43137,,Svalbard & Jan Mayen Islands,1.0,t +2740,,Estonia,5.0,f +15679,,,1.0,f +21030,,Anguilla,3.0,f +28011,100%,Marshall Islands,1.0,t +40754,0%,,2.0,t +9227,90%,,3.0,t +9769,100%,Pakistan,1.0,f +12765,100%,Zimbabwe,1.0,t +28828,100%,Isle of Man,198.0,t +16606,100%,Svalbard & Jan Mayen Islands,2.0,t +17394,0%,Nicaragua,49.0,f +8975,100%,Ukraine,2.0,f +4951,50%,Brunei Darussalam,3.0,f +49658,,,1.0,t +13100,,Croatia,2.0,f +34146,,Niue,1.0,f +1900,100%,Tunisia,5.0,t +412,,,1.0,f +4390,,Zimbabwe,1.0,f +33339,,Bosnia and Herzegovina,1.0,f +36588,100%,Croatia,1.0,t +39216,,,1.0,t +12984,,Greenland,1.0,f +7147,100%,Malta,1.0,f +20182,,Maldives,1.0,f +40094,,Maldives,2.0,t +18910,100%,Mauritania,5.0,f +13100,,Croatia,2.0,f +38232,,,3.0,t +8524,,Faroe Islands,1.0,f +39435,100%,,1.0,t +4587,,El Salvador,1.0,f +42937,,Guinea,1.0,t +1560,,Indonesia,3.0,t +19811,90%,Nicaragua,21.0,t +24331,100%,,3.0,t +10711,93%,Uganda,108.0,t +15938,90%,,2.0,f +25327,100%,Kiribati,4.0,f +19958,100%,Congo,40.0,t +17564,100%,Kiribati,1.0,t +26551,,Sao Tome and Principe,1.0,t +43573,100%,,1.0,t +43926,80%,Zimbabwe,2.0,t +43428,73%,Faroe Islands,9.0,t +35641,,Netherlands,15.0,t +41562,,,1.0,t +41866,100%,,4.0,t +45196,100%,Niue,1.0,t +18385,100%,Brazil,2.0,t +39028,,,1.0,f +43850,100%,,1.0,f +1900,100%,Tunisia,5.0,t +37364,,Denmark,4.0,f +18143,,,1.0,f +30214,100%,,10.0,t +42005,,Faroe Islands,1.0,f +39896,100%,Chad,1.0,t +23369,,French Guiana,2.0,t +35122,100%,Guinea,1.0,t +22106,100%,,2.0,t +24809,100%,Lebanon,1.0,t +34277,100%,Niue,2.0,t +4504,,,1.0,f +9782,,,1.0,t +490,100%,Bosnia and Herzegovina,6.0,f +1456,100%,Uganda,1.0,t +6871,,Chad,2.0,t +48869,100%,Slovakia (Slovak Republic),22.0,f +17948,100%,,1.0,t +26921,98%,Nicaragua,6.0,t +15413,80%,Vanuatu,7.0,t +31594,100%,Philippines,19.0,t +47074,100%,Moldova,2.0,f +3088,100%,Jersey,1.0,f +10447,,,1.0,f +33580,100%,Barbados,4.0,t +46110,100%,Afghanistan,4.0,f +71,,Lithuania,2.0,t +30933,,Jersey,1.0,f +12177,100%,France,6.0,t +12304,,Zimbabwe,1.0,f +44639,100%,,1.0,f +17617,,Malta,1.0,t +40201,100%,Tonga,1.0,f +3103,100%,Turks and Caicos Islands,4.0,f +35787,100%,Pakistan,1.0,t +30562,,,1.0,f +19022,100%,Wallis and Futuna,1.0,t +37195,,,1.0,f +39124,100%,Guinea,2.0,f +7986,100%,,1.0,t +49798,,Malta,1.0,f +33221,,,1.0,f +37932,100%,Canada,2.0,t +6936,,Russian Federation,1.0,t +8551,100%,Lebanon,1.0,f +10549,100%,,1.0,f +40152,100%,El Salvador,1.0,t +19842,85%,Turkmenistan,53.0,f +34549,100%,Turks and Caicos Islands,2.0,f +48913,100%,Barbados,1.0,t +4951,50%,Brunei Darussalam,3.0,f +41160,,Papua New Guinea,1.0,t +19842,85%,Turkmenistan,53.0,f +25990,50%,Venezuela,1.0,t +19842,85%,Turkmenistan,53.0,f +30485,100%,Guinea,1.0,f +27317,,Somalia,1.0,f +17173,100%,,1.0,t +47265,100%,Lebanon,1.0,t +17352,100%,,1.0,t +6282,100%,,1.0,f +37935,100%,,1.0,f +6183,100%,Bosnia and Herzegovina,1.0,f +34043,,Venezuela,1.0,t +41654,100%,Turkmenistan,1.0,f +25946,100%,Lebanon,1.0,t +15191,100%,Guinea,2.0,f +18000,100%,Slovakia (Slovak Republic),7.0,t +21960,,Isle of Man,1.0,t +33748,30%,Uzbekistan,3.0,t +40351,88%,Chile,2.0,t +27115,100%,Guinea,2.0,f +11837,75%,Zimbabwe,1.0,f +44137,50%,,1.0,t +6894,80%,Estonia,47.0,t +48312,,,1.0,f +37996,,Cape Verde,4.0,t +5650,83%,Malawi,2.0,t +44376,,,3.0,t +36326,100%,,1.0,t +34533,,Peru,2.0,t +46872,100%,Nicaragua,9.0,f +44028,,Cape Verde,13.0,f +15657,,Zimbabwe,1.0,f +28378,,Senegal,1.0,f +47087,,,1.0,t +35192,,Jersey,1.0,f +4781,,Ghana,2.0,f +36508,,Russian Federation,1.0,f +20334,99%,Niger,171.0,t +43152,100%,Nicaragua,82.0,t +47874,,Cape Verde,1.0,t +2770,100%,Cape Verde,1.0,f +40593,,Nauru,10.0,t +14514,,China,80.0,t +36924,,Sao Tome and Principe,1.0,t +31320,,,1.0,f +45690,,Nauru,2.0,f +13364,91%,Netherlands,21.0,f +25524,100%,Barbados,1.0,t +30899,,Reunion,8.0,f +15027,,Isle of Man,1.0,f +4552,,Lebanon,1.0,t +30899,,Reunion,8.0,f +19439,,Uganda,2.0,t +25519,100%,Slovakia (Slovak Republic),9.0,t +48409,,Estonia,60.0,t +45746,,Faroe Islands,1.0,f +33103,,Nauru,1.0,f +1393,100%,Turks and Caicos Islands,2.0,f +9106,,,1.0,t +23177,100%,Estonia,5.0,f +31768,,El Salvador,1.0,f +39952,100%,Tonga,21.0,f +8615,,Estonia,1.0,f +40319,,Afghanistan,1.0,t +48108,80%,Sao Tome and Principe,1.0,f +46168,100%,Isle of Man,1.0,f +30985,100%,Uzbekistan,5.0,f +3564,100%,Russian Federation,3.0,f +48376,,,1.0,f +31878,,Lebanon,1.0,t +7940,100%,Niue,1.0,t +19798,,,1.0,f +8464,100%,Togo,1.0,f +6218,,Rwanda,1.0,t +9727,100%,Uzbekistan,1.0,f +25689,70%,,1.0,t +32127,,Tonga,1.0,f +47031,100%,,4.0,f +13545,,Papua New Guinea,1.0,t +17185,,Gibraltar,1.0,f +37953,100%,Sao Tome and Principe,6.0,f +13962,100%,Bouvet Island (Bouvetoya),2.0,f +20226,,,1.0,f +19952,100%,Zimbabwe,2.0,f +41089,100%,Gambia,3.0,t +11133,100%,Philippines,2.0,f +10668,,,2.0,f +34549,100%,Turks and Caicos Islands,2.0,f +29637,,,2.0,f +47075,,Chile,1.0,f +39647,100%,Barbados,2.0,f +45314,,Isle of Man,1.0,t +2458,,,1.0,f +48533,100%,Somalia,1.0,t +17995,,Netherlands,1.0,f +39952,100%,Tonga,21.0,f +14624,,Lebanon,1.0,f +20509,100%,Kenya,2.0,t +48470,90%,Pakistan,4.0,f +32675,100%,Kiribati,4.0,t +21083,100%,Spain,3.0,t +36499,75%,Anguilla,25.0,t +6232,,Guinea,15.0,t +15104,,Jersey,1.0,t +25016,,Holy See (Vatican City State),1.0,f +32403,100%,Rwanda,1.0,f +11312,100%,Senegal,1.0,f +21015,100%,Micronesia,1.0,f +3479,100%,,2.0,t +24974,,Niger,7.0,f +48416,100%,Mauritania,2.0,f +4969,100%,Niue,1.0,f +7102,100%,Vanuatu,4.0,t +45590,100%,Turkmenistan,2.0,t +2790,,Mexico,1.0,f +878,100%,Kiribati,3.0,t +29647,100%,Peru,1305.0,f +10202,89%,Nicaragua,10.0,f +29647,100%,Peru,1305.0,f +15063,90%,,1.0,f +39300,100%,Kenya,2.0,f +29647,100%,Peru,1305.0,f +27289,99%,Reunion,12.0,t +41157,100%,,1.0,f +29647,100%,Peru,1305.0,f +36499,75%,Anguilla,25.0,t +24551,100%,,1.0,t +7568,,,1.0,t +24999,100%,France,6.0,f +16545,,France,1.0,f +36904,89%,Croatia,1.0,f +36698,,Gibraltar,1.0,t +40183,,Montserrat,2.0,t +34942,,,1.0,t +33661,100%,,1.0,t +3258,,Chad,1.0,t +8209,,Maldives,1.0,f +1178,100%,Uzbekistan,1.0,t +45631,38%,China,1.0,t +37899,,,2.0,f +18992,95%,,3.0,f +4913,100%,Gambia,1.0,f +23654,100%,Uzbekistan,23.0,f +13150,,French Guiana,1.0,t +23720,,,1.0,f +18200,100%,Niue,2.0,t +47488,0%,Gambia,1.0,f +31959,,Rwanda,4.0,f +39541,100%,Papua New Guinea,1.0,f +49440,100%,Brazil,1.0,f +44179,,,1.0,t +20930,63%,,3.0,f +3740,100%,Marshall Islands,1.0,t +43181,,Jersey,1.0,f +11922,,,2.0,f +15800,100%,Kiribati,2.0,t +5208,,Indonesia,1.0,f +10054,,Nauru,1.0,f +45641,100%,,1.0,t +34787,,Turkmenistan,1.0,f +29840,,,1.0,t +6963,100%,,2.0,t +1908,100%,Sao Tome and Principe,2.0,t +15800,100%,Kiribati,2.0,t +18385,100%,Brazil,2.0,t +15721,100%,Bosnia and Herzegovina,1.0,f +31412,,,1.0,f +589,,,1.0,f +19943,63%,Isle of Man,34.0,f +24816,,,1.0,t +21235,100%,Brazil,1.0,f +1506,,,1.0,t +28540,100%,Vanuatu,12.0,f +2782,,,1.0,t +28540,100%,Vanuatu,12.0,f +37532,,Guinea,1.0,t +28540,100%,Vanuatu,12.0,f +28540,100%,Vanuatu,12.0,f +28540,100%,Vanuatu,12.0,f +43492,100%,Suriname,1.0,f +28540,100%,Vanuatu,12.0,f +13769,100%,Micronesia,1.0,f +35044,,,1.0,f +43902,100%,,2.0,t +30782,,Estonia,1.0,f +15569,,Portugal,1.0,f +5049,100%,Sao Tome and Principe,15.0,t +18702,100%,Gibraltar,2.0,t +22676,100%,Bouvet Island (Bouvetoya),1.0,t +3127,100%,Rwanda,36.0,f +14042,,Uzbekistan,2.0,f +24974,,Niger,7.0,f +7479,100%,,1.0,f +10644,,Guernsey,4.0,t +41340,100%,Tanzania,3.0,t +34587,,Isle of Man,22.0,t +28887,100%,Ghana,8.0,f +37115,,Costa Rica,1.0,f +28887,100%,Ghana,8.0,f +25654,100%,Isle of Man,1.0,f +6161,,,1.0,t +27596,,Russian Federation,2.0,t +34881,100%,China,6.0,f +6013,100%,,1.0,f +34892,71%,,1.0,f +25300,,,1.0,t +2587,100%,Niue,3.0,t +18152,100%,Nicaragua,1.0,f +46788,,,1.0,f +8681,,,1.0,f +22340,,Ukraine,1.0,f +3127,100%,Rwanda,36.0,f +25222,80%,Kenya,11.0,t +3127,100%,Rwanda,36.0,f +47527,100%,Tonga,1.0,f +26180,100%,,1.0,f +7443,94%,Pakistan,4.0,f +3127,100%,Rwanda,36.0,f +16390,,Reunion,1.0,f +41196,,,1.0,f +42845,,Estonia,2.0,t +44509,100%,Niue,1.0,t +46074,,,1.0,t +34062,,Uganda,5.0,t +980,,Djibouti,4.0,f +47705,,,1.0,f +40366,97%,Micronesia,14.0,t +4524,100%,Vietnam,1.0,f +4178,100%,Niue,1.0,t +30126,100%,Togo,5.0,t +26633,100%,Guinea,1.0,t +42256,100%,,8.0,f +8330,100%,Mauritania,3.0,f +46065,100%,Ecuador,3.0,f +4951,50%,Brunei Darussalam,3.0,f +35831,,,1.0,f +39296,,Chad,1.0,t +23713,,Isle of Man,1.0,f +34595,67%,,1.0,t +10468,,,1.0,f +30909,,Monaco,1.0,f +48389,90%,Uzbekistan,1.0,t +17476,100%,Pakistan,4.0,t +29455,100%,Kenya,3.0,f +19301,100%,,2.0,t +44541,100%,France,2.0,f +2880,,,1.0,f +6262,,Jersey,1.0,t +24974,,Niger,7.0,f +28493,90%,,2.0,f +2737,100%,Cape Verde,1.0,t +30159,0%,,1.0,t +45666,100%,,2.0,t +16849,,Guernsey,1.0,t +21857,,,1.0,t +20659,,Croatia,3.0,t +3162,100%,Montserrat,6.0,t +16181,100%,Tanzania,2.0,f +28828,100%,Isle of Man,198.0,t +7243,,Reunion,1.0,t +42925,,Zimbabwe,1.0,t +20659,,Croatia,3.0,t +49543,,,1.0,f +25245,,Mexico,1.0,f +23613,,Lebanon,2.0,t +25750,,Uruguay,1.0,f +25213,,Chile,1.0,t +28828,100%,Isle of Man,198.0,t +33883,,,3.0,t +46601,,,1.0,t +37178,,,1.0,f +13430,100%,Rwanda,1.0,f +7332,100%,Ecuador,2.0,t +41391,100%,,1.0,t +37194,,,2.0,f +16571,,Marshall Islands,1.0,t +30493,,Estonia,1.0,t +27726,100%,Tonga,5.0,f +42623,,,1.0,t +13635,0%,,1.0,f +48253,,,1.0,f +36349,,Somalia,2.0,t +36349,,Somalia,2.0,t +44028,,Cape Verde,13.0,f +49660,100%,France,3.0,t +30720,63%,,1.0,t +126,,China,2.0,f +44612,100%,Jersey,2.0,t +4435,,,1.0,f +12354,100%,Russian Federation,1.0,t +47768,100%,Anguilla,2.0,t +29969,100%,,1.0,f +46118,100%,Nicaragua,11.0,f +5129,50%,Bouvet Island (Bouvetoya),1.0,f +27334,100%,China,16.0,f +39212,100%,Jersey,1.0,t +9588,100%,,1.0,f +12149,,Niue,1.0,t +22496,,Nauru,1.0,f +11673,,Ghana,3.0,t +46715,100%,Gibraltar,2.0,t +21911,,Rwanda,2.0,t +20786,,Mauritania,1.0,t +39397,,Guinea,3.0,t +14556,,,1.0,f +8359,,Anguilla,1.0,f +48249,100%,,1.0,t +46481,,Philippines,4.0,t +42617,,Chile,1.0,f +15774,100%,,1.0,f +35683,,Isle of Man,2.0,f +43678,,,1.0,t +14789,,,1.0,t +37469,100%,Russian Federation,1.0,t +44056,,,1.0,t +33810,,Gibraltar,1.0,t +17394,0%,Nicaragua,49.0,f +33939,100%,Jersey,1.0,f +21863,100%,,1.0,t +48678,,,1.0,f +24475,,,1.0,f +36129,0%,Uganda,1.0,f +22317,,French Guiana,1.0,t +37639,100%,Nauru,11.0,f +19045,100%,Uzbekistan,2.0,t +43319,100%,Peru,1.0,f +23646,20%,,1.0,f +36538,100%,,1.0,f +2834,,France,1.0,f +45510,100%,Marshall Islands,2.0,f +840,100%,Mauritania,1.0,t +7443,94%,Pakistan,4.0,f +1535,100%,,3.0,t +27967,67%,Djibouti,1.0,t +7342,100%,,1.0,t +16887,100%,China,11.0,f +9986,,Lebanon,1.0,t +17394,0%,Nicaragua,49.0,f +41209,100%,,1.0,f +43403,100%,,1.0,t +3085,,,1.0,t +10082,100%,Isle of Man,2.0,t +44674,100%,,1.0,t +23642,100%,Holy See (Vatican City State),5.0,f +31379,100%,France,5.0,t +38246,100%,,1.0,t +19128,100%,Uzbekistan,12.0,t +40596,100%,Nicaragua,1.0,f +32294,,Niue,1.0,f +13259,,Kenya,1.0,f +9516,99%,Pakistan,45.0,t +30899,,Reunion,8.0,f +46105,100%,Nicaragua,4.0,t +32497,,,1.0,f +13301,100%,Togo,2.0,f +28414,100%,Uzbekistan,22.0,f +46105,100%,Nicaragua,4.0,t +6508,,Venezuela,1.0,t +12088,100%,Kiribati,8.0,f +22490,100%,Guinea,1.0,t +3222,100%,,3.0,t +41013,,Lebanon,2.0,t +10284,100%,Tanzania,3.0,f +12676,100%,Bouvet Island (Bouvetoya),1.0,t +27578,90%,Vanuatu,1.0,f +38037,100%,Saint Helena,1.0,t +27157,,El Salvador,1.0,t +27328,,,1.0,t +19318,,,1.0,f +20556,100%,,1.0,t +22374,,,1.0,f +38689,100%,United Kingdom,6.0,t +19842,85%,Turkmenistan,53.0,f +23327,100%,Uzbekistan,4.0,t +10534,,Gibraltar,1.0,f +37373,,Lebanon,1.0,t +14484,,,1.0,t +27504,,Mauritania,1.0,f +5796,,France,1.0,f +11823,70%,,7.0,f +11823,70%,,7.0,f +35309,40%,Turkmenistan,1.0,t +28828,100%,Isle of Man,198.0,t +25677,100%,Peru,2.0,f +41333,100%,Turks and Caicos Islands,2.0,f +47464,,,1.0,f +32365,100%,,1.0,t +19147,100%,,1.0,f +18200,100%,Niue,2.0,t +4803,100%,Fiji,5.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +34208,,,2.0,t +26934,,Kenya,1.0,f +5327,100%,Togo,5.0,t +3313,75%,,1.0,t +27768,65%,Kiribati,15.0,t +23871,,,1.0,t +31707,100%,Niger,48.0,f +29647,100%,Peru,1305.0,f +2779,,,1.0,t +41086,,Ghana,1.0,f +32620,100%,Gambia,5.0,f +19485,50%,Russian Federation,1.0,t +12169,100%,Cape Verde,2.0,t +23668,100%,Fiji,2.0,f +34502,100%,Malta,1.0,t +4772,100%,,1.0,f +5979,90%,Guinea,1.0,t +42630,,Sao Tome and Principe,1.0,f +45969,,Portugal,1.0,f +43830,,Djibouti,1.0,f +16741,,Russian Federation,1.0,t +46453,100%,Russian Federation,1.0,t +38169,100%,Pakistan,3.0,f +7152,100%,Malawi,1.0,f +2446,40%,Sao Tome and Principe,1.0,t +5978,100%,Zimbabwe,3.0,t +39817,100%,,2.0,t +31546,,,1.0,f +35257,100%,,2.0,f +13843,100%,,3.0,f +21171,100%,El Salvador,2.0,f +3303,,Nauru,2.0,f +15324,,Vietnam,2.0,t +4421,100%,Uzbekistan,1.0,t +34564,,Estonia,1.0,f +35232,,,1.0,t +44725,100%,Slovakia (Slovak Republic),4.0,t +31202,90%,Kiribati,107.0,f +22045,,Russian Federation,1.0,f +43321,100%,France,40.0,f +479,100%,Pakistan,4.0,f +29893,100%,Anguilla,2.0,f +11740,,Faroe Islands,1.0,t +12799,80%,Faroe Islands,2.0,f +13536,,,1.0,f +31202,90%,Kiribati,107.0,f +39863,,Nicaragua,1.0,t +5326,100%,,1.0,f +17506,,Nauru,1.0,f +26141,50%,,1.0,f +40675,,,1.0,f +5049,100%,Sao Tome and Principe,15.0,t +28144,,Netherlands,1.0,f +14054,,Togo,1.0,f +34217,,Afghanistan,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +41189,100%,Mauritania,4.0,t +26222,100%,Brazil,1.0,f +14735,,Greenland,1.0,f +22976,,Marshall Islands,1.0,t +36499,75%,Anguilla,25.0,t +32532,,Niue,1.0,t +46088,,Ghana,15.0,f +21346,100%,Ecuador,1.0,t +40141,100%,Maldives,3.0,t +36499,75%,Anguilla,25.0,t +28867,,Denmark,1.0,t +49396,,Greenland,1.0,f +27271,,Mexico,1.0,f +11055,100%,,1.0,f +25714,100%,Chad,1.0,t +43496,100%,Montserrat,18.0,t +23515,100%,Russian Federation,2.0,t +42888,,Venezuela,1.0,f +10024,,Venezuela,3.0,t +22753,,,1.0,f +13193,,Micronesia,1.0,f +40141,100%,Maldives,3.0,t +11923,,Bouvet Island (Bouvetoya),1.0,f +45737,,Tonga,29.0,t +28828,100%,Isle of Man,198.0,t +38311,,,1.0,f +34345,100%,Niger,3.0,f +39300,100%,Kenya,2.0,f +37601,,Vanuatu,1.0,f +26923,,Lebanon,1.0,t +23747,100%,Niger,4.0,t +48460,,Reunion,2.0,t +11616,100%,Uzbekistan,12.0,t +30665,100%,Puerto Rico,1.0,f +23117,82%,,33.0,f +23654,100%,Uzbekistan,23.0,f +23117,82%,,33.0,f +14893,100%,El Salvador,1.0,t +4719,100%,Malta,1.0,f +19339,,,1.0,f +37622,,United Kingdom,1.0,f +6539,,El Salvador,1.0,t +9047,,Gambia,1.0,f +27629,0%,Lithuania,1.0,f +29085,,Micronesia,1.0,f +22721,100%,Ecuador,109.0,f +17170,,,1.0,t +42436,,Ghana,4.0,f +47286,100%,Micronesia,2.0,f +12200,,Reunion,1.0,f +3612,,Estonia,1.0,f +41735,,China,1.0,f +43840,100%,Niue,4.0,t +33580,100%,Barbados,4.0,t +37420,,,3.0,t +523,,Reunion,1.0,f +45995,,Guernsey,1.0,f +35745,,,1.0,f +4321,,,1.0,f +1906,,Tonga,1.0,f +40366,97%,Micronesia,14.0,t +36093,100%,Denmark,18.0,t +10668,,,2.0,f +5019,,,1.0,f +42778,100%,Monaco,2.0,f +10221,,,1.0,f +15379,100%,Niger,1.0,f +47028,100%,Sao Tome and Principe,1.0,t +48236,,Turkmenistan,3.0,t +37364,,Denmark,4.0,f +21401,,,1.0,t +45788,90%,Afghanistan,2.0,t +42915,100%,Vanuatu,1.0,f +47338,100%,,1.0,t +33645,100%,Anguilla,1.0,f +15853,,Mauritania,1.0,t +37735,100%,Uganda,13.0,t +39060,100%,Kiribati,3.0,f +49541,100%,French Guiana,6.0,f +49469,,France,1.0,t +15373,,Faroe Islands,1.0,t +46801,80%,Turks and Caicos Islands,1.0,f +7982,100%,Serbia,3.0,f +16695,96%,Tonga,8.0,f +43353,,,1.0,f +1729,75%,,2.0,f +23050,100%,Brazil,1.0,f +24869,,,1.0,f +10325,100%,Gambia,34.0,t +3808,100%,,1.0,f +12928,100%,,2.0,t +39908,100%,Guernsey,1.0,t +24275,,,1.0,f +4286,100%,,1.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +6131,100%,Niue,1.0,f +3127,100%,Rwanda,36.0,f +13228,,Guinea,2.0,f +1504,,Guinea,1.0,f +3127,100%,Rwanda,36.0,f +22598,,,1.0,f +3127,100%,Rwanda,36.0,f +10325,100%,Gambia,34.0,t +3127,100%,Rwanda,36.0,f +30162,,French Polynesia,1.0,f +8048,,Chad,1.0,f +10325,100%,Gambia,34.0,t +10325,100%,Gambia,34.0,t +22830,100%,,1.0,t +25295,100%,Slovakia (Slovak Republic),3.0,t +10325,100%,Gambia,34.0,t +24749,100%,Timor-Leste,3.0,t +37552,100%,Bahrain,1.0,f +37099,100%,Denmark,2.0,f +33769,100%,,1.0,t +8979,100%,Micronesia,9.0,t +30126,100%,Togo,5.0,t +49669,,,1.0,t +27785,100%,Uzbekistan,58.0,f +21141,,Russian Federation,1.0,f +25617,100%,Monaco,1.0,t +2253,100%,Mauritania,2.0,f +39845,100%,Togo,4.0,f +12928,100%,,2.0,t +36749,100%,,2.0,f +40218,100%,Estonia,6.0,f +11253,,Ghana,7.0,f +22083,33%,,1.0,t +12378,100%,France,1.0,t +29097,,Guinea,1.0,t +45067,75%,,3.0,t +38024,100%,Mauritania,1.0,f +32582,83%,,3.0,f +47519,100%,,1.0,f +21584,71%,Anguilla,2.0,t +20041,100%,Uzbekistan,2.0,t +25191,100%,Malta,1.0,f +7782,100%,Denmark,1.0,t +18794,100%,,2.0,f +30682,100%,Mauritania,2.0,f +237,,Faroe Islands,1.0,t +15273,100%,,2.0,f +30325,100%,,1.0,f +23045,,,3.0,f +8820,,Gambia,1.0,f +36887,100%,,1.0,t +9363,95%,Ukraine,50.0,f +15116,100%,Uzbekistan,2.0,f +9363,95%,Ukraine,50.0,f +42676,100%,Lithuania,1.0,f +6232,,Guinea,15.0,t +35960,100%,,1.0,f +47793,,,2.0,t +22965,,Greenland,2.0,f +20368,,,1.0,t +47827,,Chad,1.0,t +14732,,Rwanda,1.0,f +45258,100%,Monaco,2.0,f +36529,100%,Mauritania,1.0,t +49638,100%,Portugal,2.0,f +27726,100%,Tonga,5.0,f +10737,,Rwanda,1.0,f +34638,100%,Brunei Darussalam,1.0,t +34587,,Isle of Man,22.0,t +20329,100%,Reunion,21.0,f +21865,100%,,3.0,t +40917,100%,Russian Federation,3.0,t +1563,0%,Micronesia,3.0,f +24178,100%,,1.0,f +48766,100%,Uzbekistan,1.0,f +5060,,Estonia,1.0,f +45085,,Ghana,1.0,f +10697,100%,Uzbekistan,3.0,t +33203,100%,,3.0,f +35516,,Lebanon,1.0,t +30435,99%,Cape Verde,41.0,f +14255,,,1.0,f +18611,,Chad,1.0,t +36583,100%,Uganda,1.0,f +17519,100%,Uganda,1.0,f +29625,100%,Ecuador,2.0,f +17181,,French Guiana,1.0,f +21351,100%,Niue,3.0,f +16101,,,1.0,t +12534,100%,,2.0,t +38015,,Mexico,1.0,t +4979,100%,United Kingdom,1.0,f +45040,,,1.0,t +10624,100%,,1.0,f +27220,,,1.0,t +9347,,Niue,1.0,t +43173,100%,Chile,1.0,t +19038,100%,Lebanon,3.0,t +3447,,Finland,3.0,t +37901,,Micronesia,1.0,t +25646,100%,Tonga,1.0,f +25251,100%,El Salvador,2.0,f +23556,,,1.0,f +2381,100%,,3.0,f +25251,100%,El Salvador,2.0,f +41728,,Turkmenistan,1.0,f +37952,100%,Congo,3.0,t +17672,,,1.0,f +16646,,Papua New Guinea,1.0,t +48082,,Uzbekistan,2.0,f +46360,100%,Holy See (Vatican City State),1.0,t +19697,100%,Brazil,3.0,f +42796,,,1.0,f +10431,,Finland,2.0,t +1754,,,1.0,f +43561,,Faroe Islands,1.0,t +2059,100%,Bahrain,1.0,t +21521,,Niue,1.0,f +38487,,,2.0,f +38487,,,2.0,f +41231,,,1.0,f +3557,,Faroe Islands,1.0,f +10263,100%,,3.0,t +36499,75%,Anguilla,25.0,t +43438,100%,Niue,2.0,t +37480,100%,Niue,4.0,f +7605,,,1.0,f +37480,100%,Niue,4.0,f +37480,100%,Niue,4.0,f +36499,75%,Anguilla,25.0,t +37480,100%,Niue,4.0,f +40288,,Macao,2.0,t +10217,100%,Bosnia and Herzegovina,7.0,t +5964,0%,,2.0,f +48447,,Mexico,1.0,f +41741,100%,Brazil,9.0,t +40520,100%,,1.0,t +36111,100%,Malta,2.0,t +14963,100%,,1.0,t +40466,100%,Russian Federation,5.0,f +37975,,Malta,1.0,t +28129,,China,2.0,f +13686,,France,3.0,f +45601,,,1.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +22252,100%,Switzerland,4.0,f +1878,,Niue,1.0,f +4179,,France,1.0,t +27006,,,1.0,f +21296,100%,,1.0,f +3683,,Russian Federation,1.0,f +49806,,Jersey,1.0,f +48711,,,1.0,f +43438,100%,Niue,2.0,t +42013,,Guinea,16.0,t +27119,94%,Nicaragua,10.0,t +42013,,Guinea,16.0,t +15734,,Turkmenistan,5.0,t +15734,,Turkmenistan,5.0,t +42013,,Guinea,16.0,t +6176,100%,Costa Rica,1.0,t +867,100%,Congo,1.0,t +22564,90%,Portugal,1.0,f +48164,,Niue,1.0,f +38660,,,2.0,f +19647,,Malawi,1.0,t +27791,,Nauru,1.0,t +12499,,,1.0,t +43237,40%,Montserrat,24.0,f +43118,100%,,2.0,f +20329,100%,Reunion,21.0,f +32296,,,1.0,f +47904,,Uganda,2.0,f +13542,,,1.0,f +11524,100%,Tonga,1.0,t +16416,100%,Guinea,1.0,f +11676,,Slovakia (Slovak Republic),1.0,f +48503,90%,Sao Tome and Principe,5.0,t +38660,,,2.0,f +37974,,,1.0,f +394,,Ecuador,1.0,t +21621,100%,Marshall Islands,1.0,f +25307,,,1.0,f +34222,,France,1.0,t +34208,,,2.0,t +49066,,Maldives,2.0,f +2179,25%,Reunion,5.0,f +12669,,Zimbabwe,1.0,f +43708,,Indonesia,3.0,t +41313,100%,Denmark,10.0,t +44988,,,1.0,t +15734,,Turkmenistan,5.0,t +43258,,Guinea,1.0,f +18803,,,1.0,f +4046,,French Guiana,1.0,f +4754,90%,Lithuania,1.0,f +41524,,Fiji,4.0,t +23031,,Montserrat,1.0,f +25467,100%,Jersey,1.0,f +48225,100%,Wallis and Futuna,1.0,f +28832,,Nicaragua,2.0,t +13274,60%,,1.0,f +26313,89%,Mauritania,2.0,t +1038,,Maldives,5.0,f +22235,,Brazil,1.0,f +10316,100%,Rwanda,1.0,t +39859,100%,Netherlands,3.0,t +37181,,Gambia,1.0,f +41524,,Fiji,4.0,t +29235,100%,Malta,6.0,f +16542,100%,Croatia,2.0,t +25904,83%,,1.0,f +47951,,,1.0,f +3810,100%,,2.0,f +38999,,Turkmenistan,1.0,f +17427,100%,Mexico,2.0,f +35034,,Sao Tome and Principe,1.0,f +41946,100%,Turkmenistan,1.0,t +41524,,Fiji,4.0,t +16240,100%,Tanzania,2.0,t +39845,100%,Togo,4.0,f +33789,,,1.0,f +19331,,,1.0,t +26495,75%,Palestinian Territory,1.0,t +17427,100%,Mexico,2.0,f +33012,,,1.0,f +29647,100%,Peru,1305.0,f +16764,100%,Mauritania,2.0,f +48734,,,1.0,t +33880,84%,Barbados,18.0,f +4298,100%,,1.0,t +15297,,Christmas Island,1.0,f +49621,,,1.0,t +28459,100%,Uruguay,1.0,f +26620,100%,Philippines,2.0,t +16346,100%,Montserrat,2.0,f +1038,,Maldives,5.0,f +15771,100%,,3.0,t +31691,,Puerto Rico,1.0,f +21896,25%,,1.0,f +16297,100%,Gambia,1.0,f +6767,,,3.0,f +39843,100%,Switzerland,3.0,t +38784,100%,Pakistan,3.0,f +40366,97%,Micronesia,14.0,t +26921,98%,Nicaragua,6.0,t +28405,100%,,1.0,f +40366,97%,Micronesia,14.0,t +9032,88%,,3.0,t +21746,86%,,2.0,t +18332,100%,,2.0,f +44541,100%,France,2.0,f +17394,0%,Nicaragua,49.0,f +26189,,Lithuania,1.0,t +37421,90%,Isle of Man,2.0,t +48603,100%,Guinea,40.0,f +47189,,,1.0,f +29623,,,1.0,f +35521,70%,,1.0,f +24810,,Lebanon,1.0,t +828,,Mauritania,2.0,f +47712,100%,,1.0,t +7939,100%,,1.0,f +11257,100%,Maldives,2.0,t +24050,,Isle of Man,1.0,f +37155,,Niue,1.0,f +43708,,Indonesia,3.0,t +41269,,Philippines,7.0,f +16333,,,1.0,f +43202,75%,Niue,2.0,t +9101,,,1.0,f +2586,,Niue,1.0,t +41524,,Fiji,4.0,t +29622,100%,,1.0,t +35526,100%,,2.0,f +47476,,Kenya,1.0,t +33053,,Mauritania,1.0,f +41089,100%,Gambia,3.0,t +29521,,Gambia,4.0,t +29595,,Micronesia,1.0,t +28196,,Svalbard & Jan Mayen Islands,3.0,t +35937,,Senegal,1.0,f +48656,,,1.0,f +6365,80%,Nauru,2.0,t +47031,100%,,4.0,f +3935,,Guernsey,1.0,f +11409,,Russian Federation,1.0,f +17987,,,1.0,f +24280,100%,,2.0,f +43496,100%,Montserrat,18.0,t +34726,90%,,2.0,t +42017,,,1.0,f +36499,75%,Anguilla,25.0,t +13455,,,2.0,f +28251,100%,,1.0,t +8911,100%,,2.0,t +21317,100%,Maldives,2.0,f +3411,100%,Tunisia,1.0,f +41559,100%,Montserrat,4.0,t +1400,100%,United Kingdom,1.0,f +15235,100%,Marshall Islands,1.0,f +38070,,Saint Helena,1.0,f +39153,100%,,3.0,f +19682,100%,Faroe Islands,15.0,t +8664,,Afghanistan,1.0,f +13072,,Chad,1.0,f +37205,100%,Kiribati,3.0,t +18078,100%,Montserrat,13.0,t +49005,,Guinea,1.0,t +47361,100%,Barbados,10.0,f +29140,100%,,1.0,t +35467,,Micronesia,1.0,f +46647,100%,,1.0,f +44966,100%,Guinea,21.0,f +12614,,,1.0,t +13455,,,2.0,f +16484,100%,Jersey,1.0,f +41151,,Gambia,1.0,t +46467,,,1.0,f +25679,100%,Barbados,3.0,t +35491,100%,,2.0,f +33326,,Nicaragua,1.0,f +21368,100%,Russian Federation,1.0,f +48264,,,1.0,t +38396,,Isle of Man,1.0,t +1781,,Uzbekistan,1.0,t +4783,100%,Estonia,2.0,f +46319,,,2.0,t +14774,100%,Somalia,1.0,f +17307,,,1.0,t +9309,,Lebanon,1.0,f +9322,100%,Russian Federation,1.0,t +32533,100%,,1.0,f +33652,100%,,1.0,f +45107,,Russian Federation,1.0,t +39773,,Marshall Islands,2.0,f +41917,0%,,1.0,f +42889,100%,Canada,2.0,t +5332,82%,,5.0,t +22669,,Lebanon,1.0,f +35440,100%,,3.0,f +2328,88%,Kenya,2.0,t +24910,90%,Venezuela,1.0,f +22164,,Gambia,3.0,t +36874,80%,,2.0,f +34072,100%,,1.0,f +13263,,Guernsey,1.0,f +39733,100%,Maldives,1.0,f +31222,,Afghanistan,1.0,t +1191,98%,,12.0,t +48977,100%,,1.0,f +30765,,Marshall Islands,2.0,f +36721,100%,Ukraine,1.0,f +42015,100%,Nauru,1.0,t +357,,Peru,1.0,f +21783,,Papua New Guinea,1.0,f +8300,100%,Peru,1.0,t +16489,100%,Russian Federation,42.0,t +13513,100%,Ghana,1.0,f +14665,100%,Cocos (Keeling) Islands,1.0,f +49895,100%,,1.0,f +39109,77%,Ukraine,24.0,t +37953,100%,Sao Tome and Principe,6.0,f +23723,,Isle of Man,2.0,f +663,100%,,2.0,f +26889,100%,Indonesia,10.0,f +7282,100%,Malta,1.0,f +20615,,,1.0,f +27926,,Bosnia and Herzegovina,2.0,f +16323,100%,Marshall Islands,1.0,t +12060,,,1.0,f +45968,100%,Micronesia,4.0,t +33123,,Guinea,1.0,t +26230,,France,3.0,f +40925,,Kenya,2.0,f +29660,,Pakistan,1.0,f +28937,100%,Kenya,2.0,t +45365,,Kiribati,3.0,t +12329,,,1.0,f +26005,100%,France,1.0,t +22721,100%,Ecuador,109.0,f +10615,,Tonga,1.0,f +28937,100%,Kenya,2.0,t +16876,100%,,1.0,t +5731,,,1.0,f +26612,,,1.0,f +2422,,Gambia,2.0,t +5760,,Togo,1.0,t +12246,,,2.0,f +28830,100%,Lithuania,2.0,f +22079,100%,Togo,2.0,t +24775,97%,Montserrat,44.0,f +8911,100%,,2.0,t +27375,,,1.0,f +37720,,,1.0,f +6440,,Estonia,1.0,t +21897,90%,,3.0,f +1642,100%,Marshall Islands,17.0,f +7196,,Vietnam,1.0,t +6145,100%,Russian Federation,2.0,t +44060,100%,,2.0,t +638,,Russian Federation,1.0,f +4893,100%,Russian Federation,2.0,f +44714,,Ghana,4.0,f +13127,100%,Niger,22.0,f +13771,100%,Maldives,1.0,f +2599,,,1.0,f +4466,100%,Niue,3.0,t +49745,,Reunion,1.0,t +10711,93%,Uganda,108.0,t +3750,,Guinea,1.0,t +15683,100%,Isle of Man,2.0,f +19011,60%,Marshall Islands,1.0,t +20255,100%,Guinea,3.0,f +3405,71%,Jersey,1.0,t +44207,80%,Djibouti,8.0,t +20591,,,1.0,f +26598,,Suriname,1.0,t +28242,100%,,1.0,f +21707,,Niue,1.0,f +46779,,Ukraine,2.0,t +47109,,Anguilla,1.0,t +17468,,Tonga,1.0,t +6106,100%,Tonga,2.0,t +34973,,Chile,1.0,f +8382,,Chad,1.0,t +16046,100%,Malawi,1.0,f +32378,90%,China,6.0,t +16880,,China,1.0,f +37733,100%,,3.0,t +32975,100%,Micronesia,3.0,f +2851,100%,Uzbekistan,1.0,f +3076,,,2.0,f +37244,,Anguilla,8.0,t +35668,88%,,1.0,t +25281,,,1.0,f +31109,100%,,1.0,f +38245,,Sao Tome and Principe,2.0,f +3076,,,2.0,f +37255,,Turkmenistan,1.0,t +38710,,,1.0,f +48024,,,1.0,f +31096,,Canada,1.0,f +27440,80%,,1.0,f +28674,100%,Russian Federation,2.0,t +29831,100%,Guinea,1.0,t +18247,95%,Iran,80.0,t +46934,100%,Gibraltar,2.0,t +1001,100%,Faroe Islands,2.0,t +6673,,Kenya,3.0,t +7266,,Micronesia,1.0,t +23780,,Faroe Islands,3.0,f +36153,,,1.0,f +17932,100%,Costa Rica,8.0,t +9271,,Faroe Islands,2.0,t +45365,,Kiribati,3.0,t +48281,100%,,1.0,t +20375,80%,Mauritania,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +2416,100%,Guinea,5.0,f +47361,100%,Barbados,10.0,f +48406,100%,Guernsey,2.0,t +6422,,Nauru,1.0,t +9533,,Senegal,16.0,t +44638,,French Guiana,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +17464,,Philippines,8.0,t +46347,,Somalia,6.0,t +19343,0%,Togo,4.0,f +23016,71%,,1.0,f +4264,,,2.0,t +34422,,Maldives,1.0,f +19343,0%,Togo,4.0,f +7186,100%,Russian Federation,1.0,t +19343,0%,Togo,4.0,f +21913,,Reunion,2.0,f +13999,,Nicaragua,3.0,f +41426,,Turkmenistan,1.0,t +43286,,Fiji,8.0,t +44555,,,1.0,t +501,,France,2.0,t +2382,100%,,1.0,f +41641,,Lebanon,3.0,t +6626,100%,Uzbekistan,1.0,f +10711,93%,Uganda,108.0,t +2995,,Malta,2.0,f +30779,,Guinea,1.0,f +4466,100%,Niue,3.0,t +22379,100%,Isle of Man,5.0,t +10384,,Malta,1.0,f +48784,,,2.0,t +27011,,,1.0,f +11743,100%,Netherlands,1.0,f +28828,100%,Isle of Man,198.0,t +28828,100%,Isle of Man,198.0,t +34998,100%,Barbados,1.0,f +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +35739,,Russian Federation,1.0,t +9327,100%,Niue,1.0,t +38887,,Tunisia,1.0,t +30167,,,1.0,f +40793,100%,,75.0,t +199,,Niger,3.0,t +18077,100%,Sao Tome and Principe,139.0,f +7369,100%,Christmas Island,13.0,t +37293,92%,Russian Federation,15.0,f +28724,100%,Cuba,1.0,f +35190,100%,,1.0,t +22625,100%,Nicaragua,3.0,t +5027,,Kiribati,1.0,f +25716,,Ghana,2.0,f +46439,100%,Rwanda,5.0,f +38379,100%,Jersey,2.0,f +17676,,Pakistan,1.0,f +48084,,Niger,3.0,f +19255,50%,,1.0,f +19658,,Niue,1.0,f +9312,100%,Niue,1.0,t +48581,,Montserrat,8.0,t +20600,100%,Malta,1.0,t +8907,100%,Costa Rica,1.0,f +35377,100%,Anguilla,3.0,f +49726,,French Guiana,2.0,f +24772,90%,Denmark,10.0,f +3998,,,1.0,t +4943,100%,,2.0,t +9058,100%,Bouvet Island (Bouvetoya),1.0,f +24772,90%,Denmark,10.0,f +24772,90%,Denmark,10.0,f +41641,,Lebanon,3.0,t +38432,100%,Gambia,1.0,t +4830,100%,,1.0,f +25089,,Sao Tome and Principe,1.0,f +41656,100%,Gambia,4.0,t +33745,88%,,1.0,f +19343,0%,Togo,4.0,f +47361,100%,Barbados,10.0,f +26541,100%,Nicaragua,12.0,f +35063,100%,,2.0,t +2995,,Malta,2.0,f +6758,,Jersey,1.0,t +47361,100%,Barbados,10.0,f +42278,100%,Isle of Man,3.0,t +27710,,Costa Rica,1.0,t +43408,,Malta,1.0,t +2416,100%,Guinea,5.0,f +10999,,,1.0,f +10090,,Montserrat,1.0,t +32714,,,1.0,f +48409,,Estonia,60.0,t +6209,80%,Nicaragua,9.0,t +36381,100%,Micronesia,1.0,f +14500,100%,Finland,1.0,f +30275,,Mexico,1.0,f +13127,100%,Niger,22.0,f +47792,70%,Puerto Rico,5.0,t +19466,100%,,1.0,t +13127,100%,Niger,22.0,f +6661,,,1.0,t +29647,100%,Peru,1305.0,f +13127,100%,Niger,22.0,f +38229,,,1.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +20334,99%,Niger,171.0,t +19855,100%,Kiribati,37.0,t +702,,,1.0,f +23623,100%,Montserrat,11.0,t +6767,,,3.0,f +32114,,Malta,1.0,t +24920,67%,Congo,1.0,t +36037,,,1.0,t +35577,,,1.0,f +16084,100%,Malta,1.0,f +39256,,,2.0,f +34302,,,2.0,t +20621,,Turkmenistan,1.0,t +23057,,France,16.0,t +15557,,,1.0,t +44530,100%,Faroe Islands,1.0,f +31186,,Grenada,3.0,t +16229,,Pakistan,3.0,f +8607,,Turkmenistan,1.0,f +38422,100%,Afghanistan,1.0,f +44936,,Cocos (Keeling) Islands,1.0,f +49066,,Maldives,2.0,f +13368,100%,,1.0,t +44710,100%,Nicaragua,6.0,f +16395,100%,Micronesia,2.0,t +29370,,Barbados,1.0,t +36093,100%,Denmark,18.0,t +43658,71%,Peru,1.0,f +35049,,,1.0,f +33255,,Uzbekistan,1.0,t +4755,100%,,1.0,f +13127,100%,Niger,22.0,f +8225,95%,Barbados,31.0,f +11533,,Chile,1.0,f +20492,100%,,1.0,f +13127,100%,Niger,22.0,f +13127,100%,Niger,22.0,f +35380,,Chad,1.0,f +9533,,Senegal,16.0,t +9533,,Senegal,16.0,t +41177,100%,Ecuador,6.0,t +28828,100%,Isle of Man,198.0,t +34706,100%,Marshall Islands,8.0,f +44991,,Isle of Man,1.0,f +221,,Afghanistan,7.0,t +32372,90%,Ghana,5.0,f +29502,,Tonga,1.0,t +41301,100%,Costa Rica,9.0,t +23562,,Netherlands,1.0,f +17476,100%,Pakistan,4.0,t +18689,80%,,1.0,t +25942,,,1.0,f +38462,,Guinea,1.0,f +33470,,Barbados,1.0,f +19943,63%,Isle of Man,34.0,f +10268,,,4.0,t +23294,100%,El Salvador,2.0,t +17282,100%,,1.0,f +12240,,Denmark,1.0,f +38371,,Kiribati,1.0,f +40023,100%,Uganda,6.0,t +32603,83%,Nicaragua,4.0,t +9228,100%,Tonga,1.0,f +20334,99%,Niger,171.0,t +4701,100%,Senegal,3.0,f +49686,,,1.0,f +46439,100%,Rwanda,5.0,f +43365,,,2.0,f +30526,100%,Canada,3.0,t +30214,100%,,10.0,t +42619,,Zimbabwe,3.0,t +43365,,,2.0,f +35534,,Ghana,1.0,f +30526,100%,Canada,3.0,t +37328,100%,Tonga,1.0,f +18231,93%,Uganda,7.0,t +43518,100%,,1.0,t +35645,,,1.0,t +356,99%,Wallis and Futuna,32.0,t +27224,100%,Sao Tome and Principe,1.0,t +7396,,Somalia,1.0,f +44722,100%,Niue,2.0,f +2887,,Portugal,1.0,f +18412,83%,Marshall Islands,7.0,f +25772,100%,Costa Rica,2.0,t +1642,100%,Marshall Islands,17.0,f +1749,75%,,2.0,t +15418,,,1.0,f +26173,,Denmark,1.0,f +14073,,Rwanda,1.0,f +42736,100%,,1.0,f +490,100%,Bosnia and Herzegovina,6.0,f +41036,100%,French Polynesia,2.0,f +35909,,,1.0,t +41269,,Philippines,7.0,f +3413,,,1.0,t +47928,100%,Marshall Islands,2.0,f +31835,100%,Russian Federation,2.0,f +27207,,Marshall Islands,1.0,f +11641,100%,Guinea,2.0,t +38691,,,1.0,t +20223,,,1.0,t +23648,100%,Denmark,2.0,t +356,99%,Wallis and Futuna,32.0,t +13112,100%,Faroe Islands,2.0,t +12501,100%,Sao Tome and Principe,2.0,f +9472,,Togo,3.0,f +8161,,,1.0,t +7287,100%,Guinea,1.0,f +13821,100%,United Kingdom,2.0,f +17927,,Chad,1.0,t +34241,,Gibraltar,1.0,t +16129,,Ecuador,2.0,t +31919,,,1.0,t +41343,,,1.0,f +19907,,Micronesia,1.0,t +9008,,,3.0,t +48869,100%,Slovakia (Slovak Republic),22.0,f +1621,100%,,1.0,f +30475,92%,Vietnam,40.0,f +24563,90%,Pakistan,3.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +8288,,,1.0,f +26819,50%,Tonga,2.0,t +45116,,,1.0,f +10657,,,1.0,t +29126,70%,,1.0,f +27043,,Ghana,2.0,f +10234,,Zimbabwe,1.0,t +4836,,Denmark,1.0,f +750,,Gambia,2.0,t +25044,,Faroe Islands,1.0,t +34433,,,1.0,t +17613,,,1.0,f +39740,100%,Congo,2.0,f +1654,100%,,1.0,t +32643,,Cocos (Keeling) Islands,1.0,t +14433,,,1.0,t +17464,,Philippines,8.0,t +9972,,,1.0,f +9852,100%,Maldives,11.0,f +18815,,Bosnia and Herzegovina,2.0,t +34706,100%,Marshall Islands,8.0,f +12571,,Turkmenistan,1.0,t +9852,100%,Maldives,11.0,f +34064,,Christmas Island,3.0,t +39193,,,1.0,t +14315,100%,France,1.0,f +34706,100%,Marshall Islands,8.0,f +10876,100%,Uzbekistan,2.0,t +9852,100%,Maldives,11.0,f +1222,,Niue,1.0,f +34706,100%,Marshall Islands,8.0,f +10612,100%,Brazil,3.0,f +17081,,,1.0,f +34706,100%,Marshall Islands,8.0,f +34706,100%,Marshall Islands,8.0,f +34706,100%,Marshall Islands,8.0,f +34706,100%,Marshall Islands,8.0,f +276,,,1.0,f +27978,0%,,1.0,f +18914,,,1.0,f +49369,,,1.0,t +24766,,,1.0,t +38753,,Malta,1.0,f +22158,,,1.0,t +10448,100%,,1.0,t +16610,,,1.0,f +3660,,,2.0,f +40460,,,1.0,f +45886,100%,El Salvador,3.0,f +33819,80%,Mauritania,2.0,f +31898,,Puerto Rico,1.0,f +47860,,,1.0,f +19319,100%,Sao Tome and Principe,3.0,f +11888,,Brunei Darussalam,2.0,f +8769,,,1.0,t +528,,,2.0,t +34215,,,1.0,f +19943,63%,Isle of Man,34.0,f +15125,0%,Russian Federation,1.0,f +40466,100%,Russian Federation,5.0,f +38594,100%,,1.0,t +35439,94%,United Kingdom,23.0,t +35439,94%,United Kingdom,23.0,t +34064,,Christmas Island,3.0,t +7015,100%,France,1.0,t +23753,100%,Guernsey,1.0,t +39584,100%,Lithuania,1.0,f +34652,,Guinea,2.0,f +2247,,,1.0,f +25312,100%,,1.0,f +20989,100%,Marshall Islands,8.0,f +47352,75%,Slovenia,1.0,f +16915,,Jersey,2.0,f +2265,,Sao Tome and Principe,4.0,t +16744,60%,Rwanda,5.0,f +221,,Afghanistan,7.0,t +10369,0%,,1.0,f +15570,100%,France,6.0,f +33001,100%,Rwanda,1.0,t +20768,,,1.0,f +31746,80%,Brazil,2.0,t +15202,,,1.0,f +49544,,Zimbabwe,2.0,f +27970,100%,Niue,2.0,t +39954,,Tonga,6.0,f +37267,,Ghana,1.0,t +21420,,Lithuania,1.0,f +34957,,Guinea,1.0,f +3660,,,2.0,f +44246,,Mauritania,1.0,f +49969,100%,,1.0,f +28001,100%,,2.0,f +48680,100%,Costa Rica,1.0,f +24051,,French Guiana,1.0,f +23907,100%,Zimbabwe,1.0,f +7295,,,1.0,t +28700,,Micronesia,1.0,f +39954,,Tonga,6.0,f +25693,67%,Micronesia,3.0,f +27119,94%,Nicaragua,10.0,t +32966,,United Kingdom,1.0,f +31497,,,1.0,f +11209,,Senegal,1.0,f +10512,,Faroe Islands,1.0,f +45064,98%,Anguilla,15.0,f +14397,100%,,1.0,f +10200,100%,Bahrain,2.0,t +30214,100%,,10.0,t +48378,,Kenya,1.0,f +46131,86%,,1.0,f +40609,100%,Micronesia,1.0,t +20334,99%,Niger,171.0,t +8462,100%,,1.0,f +19958,100%,Congo,40.0,t +14898,,Turkmenistan,1.0,t +49960,100%,Rwanda,2.0,f +14895,,Kenya,1.0,f +49689,100%,Niger,6.0,f +36615,100%,Niger,1.0,f +15570,100%,France,6.0,f +30475,92%,Vietnam,40.0,f +35130,100%,Rwanda,13.0,t +31707,100%,Niger,48.0,f +35130,100%,Rwanda,13.0,t +35130,100%,Rwanda,13.0,t +27658,100%,,1.0,t +15570,100%,France,6.0,f +35130,100%,Rwanda,13.0,t +35130,100%,Rwanda,13.0,t +35130,100%,Rwanda,13.0,t +18198,100%,Monaco,1.0,t +15570,100%,France,6.0,f +22721,100%,Ecuador,109.0,f +39039,,,1.0,t +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +36429,,,1.0,f +41710,100%,,1.0,t +34678,89%,Croatia,4.0,t +38195,,,1.0,t +41467,100%,,2.0,f +10711,93%,Uganda,108.0,t +10711,93%,Uganda,108.0,t +2422,,Gambia,2.0,t +31038,100%,,1.0,f +24620,,Uzbekistan,1.0,f +18885,70%,El Salvador,7.0,t +12339,100%,,1.0,f +9055,,Gibraltar,1.0,f +18885,70%,El Salvador,7.0,t +48703,100%,Niger,1.0,f +46350,,Guinea,1.0,t +11673,,Ghana,3.0,t +40060,90%,Niue,1.0,t +39813,,Cape Verde,1.0,t +40778,100%,Pakistan,7.0,f +20539,100%,Chad,5.0,f +23107,,Niue,1.0,f +17394,0%,Nicaragua,49.0,f +47558,,Micronesia,1.0,f +40318,100%,Reunion,1.0,t +42390,100%,Wallis and Futuna,96.0,t +31004,100%,Indonesia,3.0,f +45780,91%,Palestinian Territory,5.0,f +45272,,,3.0,t +8205,,,1.0,t +9554,,Wallis and Futuna,3.0,f +30027,67%,Korea,2.0,f +10462,,Rwanda,3.0,f +32087,100%,,2.0,f +765,,Mauritania,1.0,t +4567,100%,Indonesia,1.0,t +37176,70%,Isle of Man,1.0,f +13295,100%,Denmark,4.0,f +29776,90%,Russian Federation,2.0,f +31593,100%,Guinea,1.0,f +45706,100%,Kenya,2.0,t +39109,77%,Ukraine,24.0,t +21041,81%,Vietnam,3.0,f +22934,100%,Ecuador,1.0,t +34852,,Niue,10.0,t +15991,100%,Congo,1.0,t +11673,,Ghana,3.0,t +27971,,Ecuador,1.0,f +32308,,Russian Federation,1.0,f +38787,,Faroe Islands,10.0,f +47987,,,1.0,t +11564,100%,Bouvet Island (Bouvetoya),1.0,t +29647,100%,Peru,1305.0,f +34337,100%,Croatia,2.0,f +19654,,Greenland,2.0,f +18885,70%,El Salvador,7.0,t +20334,99%,Niger,171.0,t +29809,100%,,3.0,f +5018,,Togo,1.0,f +23117,82%,,33.0,f +40087,,,1.0,f +37179,,China,1.0,f +18871,,Isle of Man,2.0,t +44000,100%,Micronesia,1.0,f +23117,82%,,33.0,f +11718,,Lebanon,1.0,t +23117,82%,,33.0,f +23117,82%,,33.0,f +22280,,Jersey,1.0,t +26578,45%,Ecuador,10.0,f +29453,,,1.0,f +14595,100%,Russian Federation,1.0,t +33805,,,2.0,t +11014,100%,Sao Tome and Principe,1.0,t +2321,,China,1.0,f +18341,,,1.0,f +2691,,,1.0,t +15865,,,1.0,f +44966,100%,Guinea,21.0,f +30283,100%,Brazil,15.0,f +25983,,Niue,2.0,f +4494,94%,Barbados,3.0,t +18247,95%,Iran,80.0,t +30579,,,1.0,f +49362,100%,Niue,1.0,f +20357,100%,,3.0,t +474,,Palestinian Territory,1.0,f +5700,,Kenya,1.0,f +39248,97%,Cuba,5.0,f +14364,100%,Nauru,9.0,f +31670,,Lebanon,1.0,t +26055,,,1.0,t +9825,,,1.0,t +41866,100%,,4.0,t +41866,100%,,4.0,t +19073,100%,,1.0,t +7349,70%,Djibouti,4.0,f +26578,45%,Ecuador,10.0,f +26578,45%,Ecuador,10.0,f +42895,,Marshall Islands,2.0,t +21131,,Montserrat,1.0,f +50085,100%,Malta,1.0,t +22527,,Lebanon,1.0,t +31707,100%,Niger,48.0,f +25987,,Venezuela,7.0,t +22794,50%,Cape Verde,36.0,t +22794,50%,Cape Verde,36.0,t +50071,100%,Nicaragua,1.0,f +13891,100%,Ecuador,1.0,t +35023,100%,,3.0,f +34953,100%,Uzbekistan,4.0,t +28828,100%,Isle of Man,198.0,t +48562,100%,,4.0,f +27365,30%,Uzbekistan,3.0,f +49467,,France,1.0,t +44240,100%,Malta,1.0,f +28668,100%,Gibraltar,1.0,t +46264,,,1.0,f +30283,100%,Brazil,15.0,f +24896,100%,Algeria,50.0,t +40610,,,1.0,f +24896,100%,Algeria,50.0,t +19675,,,1.0,t +20095,,,1.0,t +41036,100%,French Polynesia,2.0,f +32656,,Kenya,5.0,f +29647,100%,Peru,1305.0,f +38829,,Canada,1.0,f +19757,100%,Niger,3.0,f +14157,20%,Congo,3.0,f +27779,91%,,1.0,f +15888,30%,,2.0,t +16639,,Niger,2.0,t +2654,100%,Afghanistan,2.0,t +1820,100%,El Salvador,2.0,f +20180,,Lebanon,1.0,f +34752,,Chad,1.0,t +8739,100%,Lebanon,1.0,f +35083,,,1.0,f +33783,0%,Lebanon,1.0,f +5919,,Niue,1.0,f +5340,,French Guiana,2.0,t +23083,,Micronesia,1.0,f +48874,100%,Somalia,4.0,t +44601,100%,Costa Rica,1.0,t +19060,,France,1.0,f +2762,100%,Micronesia,1.0,t +8623,100%,Jersey,1.0,f +48850,,,1.0,f +538,100%,Guinea,1.0,f +31929,,Bouvet Island (Bouvetoya),1.0,f +13429,,,1.0,f +20334,99%,Niger,171.0,t +28302,100%,Marshall Islands,1.0,t +14364,100%,Nauru,9.0,f +4757,100%,,1.0,f +34496,,Niue,1.0,f +1156,90%,,1.0,f +37646,100%,Estonia,60.0,f +39610,,Andorra,2.0,t +37274,,Tonga,1.0,t +16527,100%,Palestinian Territory,2.0,f +12028,,Cape Verde,1.0,f +32661,,,3.0,t +43219,100%,,1.0,t +41124,100%,Zimbabwe,3.0,t +35221,100%,Turks and Caicos Islands,30.0,t +23877,100%,,1.0,f +43225,100%,,3.0,f +28887,100%,Ghana,8.0,f +15000,100%,Cape Verde,1.0,f +34,,Rwanda,2.0,f +28887,100%,Ghana,8.0,f +37244,,Anguilla,8.0,t +37244,,Anguilla,8.0,t +37244,,Anguilla,8.0,t +37244,,Anguilla,8.0,t +11154,,,1.0,f +49924,67%,Vanuatu,2.0,f +7318,100%,Niger,2.0,f +44706,100%,Kiribati,1.0,t +27726,100%,Tonga,5.0,f +45953,100%,Micronesia,1.0,f +36876,,Russian Federation,1.0,f +39998,100%,Micronesia,4.0,t +21886,,Croatia,5.0,t +32493,,Russian Federation,1.0,f +12610,0%,Gibraltar,1.0,f +47400,100%,,1.0,t +24071,100%,Indonesia,22.0,f +42845,,Estonia,2.0,t +12009,,Faroe Islands,1.0,f +39954,,Tonga,6.0,f +39904,50%,Isle of Man,1.0,f +49924,67%,Vanuatu,2.0,f +42362,,,1.0,f +27907,100%,Puerto Rico,21.0,f +32074,,,1.0,f +20377,,,1.0,f +23348,,Slovakia (Slovak Republic),1.0,t +28647,70%,French Guiana,2.0,t +41175,,,1.0,t +34765,100%,Marshall Islands,3.0,f +39982,,Estonia,1.0,f +19760,100%,,1.0,t +48144,,China,1.0,t +29195,,Nicaragua,1.0,f +11081,,Faroe Islands,2.0,f +259,,Mexico,1.0,f +2187,,Togo,1.0,f +18042,100%,Uganda,2.0,t +28828,100%,Isle of Man,198.0,t +33901,100%,France,1.0,f +30274,100%,,2.0,f +9497,90%,,3.0,t +35358,,Indonesia,1.0,t +16136,67%,,1.0,f +28414,100%,Uzbekistan,22.0,f +31289,,,1.0,t +24950,,Denmark,1.0,t +6657,,,1.0,f +19488,,Cocos (Keeling) Islands,1.0,f +47948,,Ghana,1.0,t +1006,100%,,1.0,t +27582,,Marshall Islands,1.0,f +32494,,,1.0,t +20364,,,1.0,t +29144,100%,Nicaragua,3.0,t +17007,,Lebanon,1.0,f +5841,100%,,1.0,f +36745,,Papua New Guinea,1.0,t +16262,100%,Guernsey,3.0,t +2133,,,1.0,f +32560,100%,Jersey,1.0,f +3798,100%,,2.0,f +17394,0%,Nicaragua,49.0,f +7996,,Sao Tome and Principe,1.0,f +14916,100%,,1.0,t +37999,100%,Senegal,20.0,t +17394,0%,Nicaragua,49.0,f +40617,,Niue,1.0,f +32415,100%,,2.0,t +38745,100%,Christmas Island,1.0,t +12537,,Maldives,1.0,f +12861,100%,Pakistan,1.0,f +9628,100%,Slovakia (Slovak Republic),2.0,f +21719,100%,Bosnia and Herzegovina,1.0,t +41750,,,1.0,t +44283,,Gambia,1.0,f +34491,,Kenya,1.0,t +23468,,Russian Federation,1.0,t +49618,100%,Maldives,1.0,t +32703,100%,,2.0,f +39496,100%,Ukraine,2.0,t +40286,50%,Monaco,1.0,t +32435,100%,Zimbabwe,1.0,f +20285,,Bosnia and Herzegovina,1.0,f +33569,100%,Turkmenistan,1.0,t +24162,50%,,1.0,f +2558,,Guinea,1.0,f +159,,Chad,1.0,t +38149,100%,Niger,12.0,f +24546,50%,Zimbabwe,2.0,f +10465,33%,,1.0,f +23304,,Barbados,1.0,t +24330,,Pakistan,1.0,f +7093,,Bosnia and Herzegovina,1.0,f +16357,100%,Micronesia,1.0,t +39204,100%,Brunei Darussalam,1.0,f +11650,,Tanzania,1.0,f +10669,100%,Monaco,2.0,f +32822,75%,,1.0,t +20334,99%,Niger,171.0,t +36093,100%,Denmark,18.0,t +42740,100%,Canada,3.0,f +10533,100%,Indonesia,1.0,t +41182,,,1.0,f +33171,,Gibraltar,1.0,f +16229,,Pakistan,3.0,f +46983,,,1.0,f +33842,,Russian Federation,2.0,t +32087,100%,,2.0,f +23338,,Nicaragua,1.0,f +47586,,Vanuatu,1.0,f +28828,100%,Isle of Man,198.0,t +26069,,,1.0,t +5365,100%,,3.0,f +13356,100%,El Salvador,2.0,t +48869,100%,Slovakia (Slovak Republic),22.0,f +15111,,Micronesia,1.0,f +49716,,Ghana,1.0,t +9278,100%,Netherlands,10.0,f +17800,100%,,1.0,f +47518,,French Guiana,2.0,t +35221,100%,Turks and Caicos Islands,30.0,t +39994,50%,Russian Federation,1.0,t +35075,100%,,1.0,t +48429,40%,Kiribati,2.0,t +30800,100%,Micronesia,2.0,f +28001,100%,,2.0,f +9486,,,1.0,f +49541,100%,French Guiana,6.0,f +44569,,French Polynesia,1.0,t +13657,100%,,2.0,t +47748,,,1.0,f +5987,100%,Monaco,1.0,t +21865,100%,,3.0,t +17701,100%,,4.0,t +39838,100%,Cuba,1.0,f +15375,,,1.0,f +15267,100%,Sao Tome and Principe,2.0,t +17908,100%,Mexico,2.0,f +13956,,Niue,2.0,t +42708,100%,Papua New Guinea,2.0,t +21701,100%,,1.0,f +6337,,,1.0,t +39248,97%,Cuba,5.0,f +49903,100%,Indonesia,1.0,f +34737,92%,,2.0,t +29166,100%,Mauritania,3.0,f +24438,,,1.0,f +35922,100%,Switzerland,5.0,t +35271,80%,Chad,1.0,t +15928,,El Salvador,1.0,t +49400,,,1.0,t +48915,100%,Puerto Rico,1.0,t +11919,,Cuba,1.0,f +17838,100%,Tonga,2.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +49478,,Tanzania,1.0,t +33168,100%,Senegal,1.0,t +24323,100%,Faroe Islands,3.0,f +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +20012,,Costa Rica,2.0,f +38406,96%,Russian Federation,6.0,t +38149,100%,Niger,12.0,f +33120,,Mauritania,2.0,f +31202,90%,Kiribati,107.0,f +25047,,,1.0,f +2087,100%,Lithuania,1.0,f +25985,,,1.0,t +43060,,Niger,1.0,f +36482,,,1.0,f +30475,92%,Vietnam,40.0,f +43821,,Vietnam,3.0,t +32577,100%,Isle of Man,1.0,t +48743,100%,Niue,1.0,f +33684,,Lebanon,1.0,f +17838,100%,Tonga,2.0,f +47323,50%,Turks and Caicos Islands,7.0,f +20774,,,2.0,t +47323,50%,Turks and Caicos Islands,7.0,f +39348,,,1.0,f +4908,,Sao Tome and Principe,1.0,f +48455,89%,Uzbekistan,20.0,t +4997,100%,Jersey,6.0,f +9843,100%,,1.0,t +18047,,Maldives,1.0,f +22318,,,1.0,f +42121,,Canada,1.0,t +47230,,,1.0,t +30674,100%,,1.0,t +37244,,Anguilla,8.0,t +6108,60%,Peru,1.0,f +45544,100%,Niue,1.0,t +44647,,,1.0,f +43878,,Peru,1.0,f +47395,100%,,1.0,f +32732,,,1.0,f +37614,,,2.0,t +17817,100%,Croatia,13.0,t +30508,,,1.0,f +17817,100%,Croatia,13.0,t +16366,100%,,1.0,f +37244,,Anguilla,8.0,t +42662,50%,Russian Federation,1.0,f +47811,100%,Vietnam,2.0,f +4461,,,1.0,t +17633,,Isle of Man,1.0,f +21140,100%,Bahrain,1.0,t +41546,100%,Mauritania,21.0,f +21588,,Barbados,1.0,f +32926,,Marshall Islands,1.0,f +43952,100%,Mauritania,1.0,f +18892,100%,Gibraltar,2.0,t +36401,,,1.0,t +13925,100%,Nicaragua,1.0,f +41951,100%,Cuba,2.0,f +32620,100%,Gambia,5.0,f +17781,100%,Uzbekistan,2.0,t +21416,100%,Uganda,1.0,t +13523,100%,Faroe Islands,1.0,f +11125,100%,Nicaragua,12.0,t +20334,99%,Niger,171.0,t +4267,100%,Senegal,22.0,t +38871,,,1.0,t +22709,,Jersey,1.0,f +45737,,Tonga,29.0,t +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +27972,94%,Brazil,27.0,f +46256,,Zimbabwe,2.0,t +30475,92%,Vietnam,40.0,f +30475,92%,Vietnam,40.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +23305,100%,Philippines,11.0,f +39425,100%,Micronesia,3.0,t +23294,100%,El Salvador,2.0,t +31159,0%,United Kingdom,1.0,f +26697,100%,Denmark,1.0,t +47205,100%,,4.0,f +38908,,Bosnia and Herzegovina,1.0,t +22721,100%,Ecuador,109.0,f +27552,,Fiji,1.0,f +19440,100%,Venezuela,1.0,t +47590,,Russian Federation,4.0,t +982,99%,Marshall Islands,32.0,f +23188,,Isle of Man,1.0,t +49094,,Nicaragua,1.0,f +21911,,Rwanda,2.0,t +10481,,,1.0,t +29693,100%,,1.0,t +41122,,Uzbekistan,1.0,t +3121,95%,Zimbabwe,9.0,t +42742,,Sao Tome and Principe,1.0,f +1739,,Chile,1.0,f +12472,100%,,1.0,f +13473,50%,Somalia,2.0,t +9676,,France,1.0,t +38079,,French Guiana,1.0,f +45313,,,1.0,f +37233,,,1.0,f +19446,,United Kingdom,1.0,t +9584,100%,Canada,1.0,f +9343,100%,Afghanistan,10.0,t +1163,100%,Puerto Rico,1.0,f +10204,100%,Nicaragua,5.0,t +18177,93%,Fiji,10.0,f +20210,100%,Afghanistan,2.0,f +28828,100%,Isle of Man,198.0,t +14,,Grenada,1.0,f +36361,,Isle of Man,1.0,f +20329,100%,Reunion,21.0,f +6049,100%,Isle of Man,1.0,f +31459,100%,Gibraltar,2.0,f +23024,,,1.0,t +18480,90%,Monaco,4.0,t +7387,,French Guiana,2.0,t +25024,100%,Peru,2.0,f +20502,100%,Costa Rica,3.0,f +18972,100%,,1.0,f +35443,100%,French Guiana,1.0,t +48797,100%,Gibraltar,2.0,t +465,100%,,4.0,t +29647,100%,Peru,1305.0,f +26085,,,1.0,t +37266,,Gibraltar,1.0,f +47884,,,1.0,f +7304,,France,1.0,t +41595,,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +30018,,Finland,1.0,f +5874,100%,Guinea,1.0,f +10186,,Turks and Caicos Islands,1.0,f +22794,50%,Cape Verde,36.0,t +22398,,China,1.0,t +29647,100%,Peru,1305.0,f +32664,100%,Congo,4.0,f +11236,,Uganda,1.0,f +30512,100%,,4.0,t +26580,100%,Uzbekistan,2.0,t +40307,,Nicaragua,1.0,t +2759,,Svalbard & Jan Mayen Islands,1.0,t +40127,,Faroe Islands,2.0,t +32823,,,1.0,f +5616,,Jersey,1.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +17394,0%,Nicaragua,49.0,f +26148,100%,Kiribati,10.0,t +39996,,Lebanon,1.0,f +6903,75%,,2.0,t +48661,100%,Zimbabwe,1.0,f +29166,100%,Mauritania,3.0,f +45933,,,1.0,f +45959,100%,Indonesia,1.0,t +20329,100%,Reunion,21.0,f +9837,,Tonga,1.0,t +34887,,French Guiana,1.0,f +48126,,,1.0,f +6944,,Peru,1.0,f +38458,100%,Montserrat,6.0,t +17877,0%,Lithuania,1.0,t +16047,80%,Uzbekistan,6.0,f +36918,,Tonga,1.0,t +23802,,,1.0,f +39143,89%,,33.0,f +34765,100%,Marshall Islands,3.0,f +3127,100%,Rwanda,36.0,f +39143,89%,,33.0,f +11586,,Nicaragua,1.0,t +35021,,,1.0,t +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +18401,100%,,1.0,f +46256,,Zimbabwe,2.0,t +10134,100%,Uzbekistan,7.0,t +32715,,French Guiana,1.0,t +21371,,Guinea,2.0,f +10889,100%,Marshall Islands,2.0,t +6838,96%,Spain,59.0,t +26699,,Jersey,1.0,f +29332,100%,,2.0,f +23944,,Isle of Man,1.0,t +29647,100%,Peru,1305.0,f +2112,100%,Nicaragua,2.0,f +31707,100%,Niger,48.0,f +32417,100%,Fiji,1.0,t +2265,,Sao Tome and Principe,4.0,t +41992,,,1.0,t +31689,40%,Guernsey,1.0,t +10858,100%,Maldives,1.0,t +26800,100%,,1.0,t +22986,,,1.0,f +19917,,Lebanon,2.0,t +9420,,,1.0,f +38977,100%,Sao Tome and Principe,1.0,f +13026,100%,,1.0,t +47608,,Faroe Islands,1.0,t +28205,,Iraq,22.0,f +14399,100%,China,1.0,t +29361,100%,,1.0,f +49628,100%,,1.0,f +32052,,Venezuela,2.0,f +969,,Pakistan,3.0,f +39037,,Isle of Man,2.0,t +17464,,Philippines,8.0,t +11197,,Turkmenistan,3.0,t +48544,,Croatia,1.0,t +31896,86%,Niue,1.0,t +31429,,,1.0,f +31031,100%,Somalia,1.0,f +3070,100%,Maldives,1.0,t +12088,100%,Kiribati,8.0,f +13330,,Nicaragua,1.0,f +27334,100%,China,16.0,f +42128,100%,Faroe Islands,1.0,t +20210,100%,Afghanistan,2.0,f +25806,100%,Spain,3.0,t +12076,,Sao Tome and Principe,1.0,t +2585,100%,Svalbard & Jan Mayen Islands,20.0,t +25806,100%,Spain,3.0,t +40593,,Nauru,10.0,t +25677,100%,Peru,2.0,f +43559,100%,,1.0,t +49063,,,1.0,t +8590,100%,Mauritania,1.0,t +33839,,,1.0,f +33065,100%,Uzbekistan,6.0,f +27726,100%,Tonga,5.0,f +24814,100%,,3.0,f +45737,,Tonga,29.0,t +44035,100%,Uruguay,1.0,t +19370,90%,Zimbabwe,3.0,t +41546,100%,Mauritania,21.0,f +6776,,,1.0,t +20000,,,1.0,f +3380,,Micronesia,3.0,f +23950,100%,Micronesia,2.0,t +42969,80%,Uzbekistan,2.0,f +14797,,,1.0,f +42827,100%,Nicaragua,3.0,t +6501,100%,,1.0,f +45532,,,1.0,f +4365,100%,Anguilla,1.0,t +28702,100%,Russian Federation,2.0,t +40651,,,2.0,f +42759,,,1.0,t +34303,,Marshall Islands,1.0,f +49108,88%,,1.0,t +13262,,Barbados,1.0,f +31061,100%,Nicaragua,6.0,f +33204,100%,,1.0,f +44503,,Nauru,1.0,t +20091,0%,Anguilla,2.0,t +27604,75%,,1.0,t +39377,100%,Ukraine,11.0,t +7555,100%,Somalia,1.0,t +9343,100%,Afghanistan,10.0,t +41546,100%,Mauritania,21.0,f +22640,,Rwanda,8.0,t +41559,100%,Montserrat,4.0,t +15773,100%,,2.0,f +44434,,Lebanon,1.0,t +2772,,,1.0,t +16130,100%,Ghana,3.0,t +5003,100%,Jersey,8.0,f +42974,,Lebanon,3.0,t +41195,100%,,1.0,f +26578,45%,Ecuador,10.0,f +47587,,Faroe Islands,1.0,f +21010,,,1.0,f +2338,,Chad,1.0,f +11041,100%,,1.0,t +5606,,Sao Tome and Principe,1.0,f +16217,100%,Finland,1.0,t +5656,,Niue,2.0,f +17394,0%,Nicaragua,49.0,f +47560,,,1.0,t +46344,50%,Monaco,1.0,f +34737,92%,,2.0,t +2595,100%,Tonga,1.0,f +8762,,,1.0,t +34765,100%,Marshall Islands,3.0,f +40976,,Denmark,1.0,f +12402,67%,,1.0,t +17397,,Russian Federation,1.0,f +31061,100%,Nicaragua,6.0,f +40651,,,2.0,f +21659,100%,Afghanistan,3.0,f +47747,100%,,1.0,t +14570,,,1.0,f +43513,75%,,1.0,f +15196,,,1.0,f +4900,,,1.0,f +20120,100%,Wallis and Futuna,10.0,f +4997,100%,Jersey,6.0,f +43526,,Andorra,1.0,f +43771,,,1.0,t +48499,,Nicaragua,2.0,f +24473,,Costa Rica,17.0,f +45946,100%,,1.0,f +4828,100%,Philippines,1.0,t +38869,,,1.0,t +24473,,Costa Rica,17.0,f +48933,,Zimbabwe,1.0,f +42043,,,1.0,f +41002,,Sao Tome and Principe,1.0,t +23587,83%,Sao Tome and Principe,1.0,f +1440,100%,Gibraltar,4.0,t +28341,,France,1.0,t +32613,,Marshall Islands,1.0,t +19063,,Chad,1.0,f +15299,,,1.0,t +36752,,Faroe Islands,1.0,f +42816,100%,Marshall Islands,1.0,t +24473,,Costa Rica,17.0,f +45311,,Nicaragua,1.0,t +11128,,Zimbabwe,1.0,t +2064,100%,Wallis and Futuna,2.0,f +24473,,Costa Rica,17.0,f +37028,100%,,1.0,f +14821,,Afghanistan,1.0,t +46035,100%,United Kingdom,1.0,f +18568,,Russian Federation,1.0,f +22331,99%,Rwanda,50.0,t +37061,60%,Uzbekistan,1.0,f +49820,,Guinea,1.0,f +41401,,Lebanon,1.0,f +1219,100%,Peru,2.0,f +34458,90%,Kiribati,4.0,t +10075,90%,Jersey,2.0,f +20977,,French Polynesia,1.0,f +26042,,Afghanistan,4.0,f +355,80%,China,9.0,t +14061,75%,France,2.0,t +41440,,Peru,1.0,t +28828,100%,Isle of Man,198.0,t +4098,,Peru,1.0,t +3831,100%,Reunion,3.0,t +6375,,United Kingdom,2.0,f +7444,50%,Somalia,1.0,f +8362,100%,Malawi,2.0,t +2210,100%,,2.0,f +16960,100%,Togo,2.0,t +32191,,Pakistan,1.0,f +23117,82%,,33.0,f +24127,100%,Russian Federation,4.0,f +14653,80%,Kenya,2.0,t +10935,,Cape Verde,1.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +24127,100%,Russian Federation,4.0,f +42390,100%,Wallis and Futuna,96.0,t +40999,100%,Chile,2.0,f +17621,,Rwanda,1.0,t +32250,,Togo,1.0,f +37395,,Malta,1.0,t +42619,,Zimbabwe,3.0,t +49237,100%,Nicaragua,3.0,t +7484,100%,Pakistan,1.0,t +25295,100%,Slovakia (Slovak Republic),3.0,t +16616,100%,,1.0,f +27881,,,1.0,f +45125,,Nicaragua,1.0,f +10441,100%,,2.0,f +20022,,Malawi,1.0,f +39627,,Russian Federation,2.0,t +269,100%,Cuba,1.0,t +31186,,Grenada,3.0,t +25,100%,Isle of Man,1.0,f +38399,100%,,1.0,t +23595,100%,,1.0,t +29141,100%,Togo,3.0,t +31086,,France,1.0,f +9110,100%,Malawi,1.0,t +47089,100%,Tunisia,1.0,t +27596,,Russian Federation,2.0,t +41934,100%,,2.0,f +10204,100%,Nicaragua,5.0,t +12162,82%,,2.0,f +38317,100%,Isle of Man,2.0,f +34732,,Uzbekistan,2.0,t +20329,100%,Reunion,21.0,f +29871,,Kenya,1.0,t +41659,100%,,1.0,t +15526,100%,,1.0,t +38279,93%,Mauritania,8.0,t +42390,100%,Wallis and Futuna,96.0,t +28414,100%,Uzbekistan,22.0,f +17394,0%,Nicaragua,49.0,f +699,100%,Uzbekistan,3.0,f +39954,,Tonga,6.0,f +30899,,Reunion,8.0,f +49821,,,1.0,t +4296,90%,,1.0,t +47200,67%,Costa Rica,1.0,t +33830,,,1.0,f +46838,100%,Bahrain,1.0,f +43095,100%,Chad,2.0,t +29490,91%,Tanzania,2.0,t +27203,,Bouvet Island (Bouvetoya),13.0,f +45074,100%,Uzbekistan,1.0,f +11827,90%,Venezuela,2.0,t +19065,,Chad,1.0,t +7492,100%,Guinea,3.0,f +16542,100%,Croatia,2.0,t +32527,100%,Tonga,7.0,f +28987,,Cocos (Keeling) Islands,1.0,f +44932,,Kenya,2.0,f +22913,,Tonga,1.0,t +49630,,Jersey,1.0,t +48499,,Nicaragua,2.0,f +29647,100%,Peru,1305.0,f +24896,100%,Algeria,50.0,t +3127,100%,Rwanda,36.0,f +42390,100%,Wallis and Futuna,96.0,t +3127,100%,Rwanda,36.0,f +3127,100%,Rwanda,36.0,f +25557,100%,Reunion,2.0,t +36724,,Zimbabwe,1.0,t +32386,97%,Indonesia,19.0,f +33337,,,1.0,f +6485,,Marshall Islands,1.0,t +17417,,Denmark,11.0,f +33823,78%,France,17.0,t +43641,100%,,3.0,t +44373,,Malta,1.0,t +2077,,Svalbard & Jan Mayen Islands,1.0,t +3127,100%,Rwanda,36.0,f +1591,,Maldives,1.0,t +16743,,,1.0,f +24130,100%,Lebanon,1.0,f +36716,100%,Bosnia and Herzegovina,3.0,f +27756,100%,Denmark,1.0,f +36568,100%,,1.0,f +4967,100%,Isle of Man,1.0,f +31113,,Somalia,1.0,f +20294,,Zimbabwe,1.0,t +48534,,Chad,1.0,f +40466,100%,Russian Federation,5.0,f +8075,,Faroe Islands,1.0,t +25819,92%,,6.0,t +18718,100%,Venezuela,1.0,t +955,,,1.0,t +7074,100%,Isle of Man,2.0,f +49512,,Netherlands,1.0,t +14295,,Croatia,1.0,f +28930,,Venezuela,1.0,f +27431,,,1.0,f +17717,,Russian Federation,2.0,f +16229,,Pakistan,3.0,f +39710,,Lebanon,1.0,f +3961,100%,Fiji,8.0,f +459,100%,Guernsey,1.0,f +31653,,Slovenia,1.0,f +31061,100%,Nicaragua,6.0,f +22331,99%,Rwanda,50.0,t +7314,,,1.0,t +31061,100%,Nicaragua,6.0,f +9728,100%,United Kingdom,1.0,t +24632,100%,Croatia,4.0,t +19308,,Tanzania,1.0,f +15945,,Brazil,1.0,f +11822,70%,,7.0,t +19573,,Marshall Islands,1.0,t +29647,100%,Peru,1305.0,f +43716,,Cape Verde,1.0,f +19993,,,1.0,f +14514,,China,80.0,t +44422,60%,Maldives,1.0,f +41367,,France,1.0,f +16788,,Bosnia and Herzegovina,1.0,t +43302,100%,Reunion,1.0,t +22801,50%,Faroe Islands,1.0,t +15031,50%,Tanzania,3.0,t +19684,,Brazil,1.0,f +42084,,Sao Tome and Principe,2.0,f +9852,100%,Maldives,11.0,f +306,100%,El Salvador,3.0,f +45736,100%,,1.0,t +32708,100%,Sao Tome and Principe,2.0,f +40421,96%,Jersey,29.0,t +39258,,,2.0,t +27923,,Tonga,1.0,f +17394,0%,Nicaragua,49.0,f +19195,100%,,1.0,t +3618,,,1.0,f +6118,,Denmark,3.0,f +3014,,Niger,1.0,f +35157,100%,Malawi,2.0,t +17394,0%,Nicaragua,49.0,f +37248,,Senegal,2.0,t +12545,,,1.0,t +17394,0%,Nicaragua,49.0,f +17394,0%,Nicaragua,49.0,f +33574,60%,Brazil,4.0,t +28828,100%,Isle of Man,198.0,t +47886,100%,Turkmenistan,1.0,t +28970,,Maldives,1.0,t +8045,,Russian Federation,1.0,t +43158,,Mauritania,1.0,t +22633,,United Kingdom,1.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +22722,100%,Vanuatu,1.0,f +8986,,,1.0,f +36540,100%,,33.0,t +36540,100%,,33.0,t +36540,100%,,33.0,t +40648,100%,,1.0,f +48409,,Estonia,60.0,t +17926,,Faroe Islands,1.0,f +22620,,Isle of Man,1.0,f +25332,100%,Monaco,1.0,f +29354,100%,Russian Federation,2.0,t +38053,100%,,1.0,f +43926,80%,Zimbabwe,2.0,t +22737,,,1.0,f +13405,,Denmark,1.0,f +45536,,Indonesia,1.0,t +47008,100%,Malta,1.0,f +23654,100%,Uzbekistan,23.0,f +33290,100%,Ecuador,4.0,t +24358,100%,Cape Verde,1.0,f +39783,,,1.0,t +39820,,Bosnia and Herzegovina,1.0,t +24775,97%,Montserrat,44.0,f +25730,,Kiribati,3.0,t +31707,100%,Niger,48.0,f +45329,,,1.0,f +23502,100%,Gambia,2.0,f +21655,,,1.0,f +21635,100%,,1.0,t +33917,,,1.0,f +36576,100%,Tonga,4.0,t +4547,,Maldives,1.0,f +160,90%,Andorra,2.0,t +30145,,,3.0,t +11189,100%,Micronesia,1.0,t +3446,,China,3.0,f +41311,100%,,1.0,f +14835,100%,,3.0,t +11358,100%,Iceland,4.0,t +31594,100%,Philippines,19.0,t +31480,50%,French Guiana,2.0,t +26979,100%,,1.0,f +18505,63%,Gibraltar,1.0,f +41132,100%,Kenya,3.0,f +29914,,Guinea,3.0,f +982,99%,Marshall Islands,32.0,f +21386,100%,Isle of Man,1.0,t +22721,100%,Ecuador,109.0,f +36216,,Holy See (Vatican City State),1.0,f +36607,100%,,2.0,t +982,99%,Marshall Islands,32.0,f +16480,,Wallis and Futuna,1.0,f +22721,100%,Ecuador,109.0,f +30283,100%,Brazil,15.0,f +4659,,,1.0,t +24896,100%,Algeria,50.0,t +23292,,Niue,1.0,f +38039,80%,,2.0,t +6058,,,1.0,t +49599,100%,Monaco,4.0,t +29888,,,1.0,f +48242,,Anguilla,1.0,f +48386,100%,,1.0,t +1176,,,1.0,t +18042,100%,Uganda,2.0,t +24653,80%,Rwanda,2.0,t +1191,98%,,12.0,t +19805,100%,Papua New Guinea,1.0,t +35588,,,1.0,t +42251,100%,Palestinian Territory,2.0,f +19811,90%,Nicaragua,21.0,t +39401,100%,Wallis and Futuna,2.0,t +6118,,Denmark,3.0,f +37296,,Malta,2.0,t +877,,,1.0,f +32592,50%,,1.0,t +7816,100%,,1.0,f +28147,100%,Faroe Islands,1.0,t +42007,,Niue,1.0,t +29479,33%,,1.0,t +43069,,Mauritania,1.0,t +46466,,Sao Tome and Principe,2.0,t +10479,100%,Palestinian Territory,3.0,t +15543,80%,,1.0,f +49693,,,1.0,t +7790,80%,Philippines,1.0,f +29408,100%,Niue,3.0,t +36439,100%,Niue,1.0,f +23070,,,2.0,f +29197,,,1.0,t +35245,100%,,1.0,f +445,,Malta,1.0,f +37906,,,1.0,t +49825,100%,Pakistan,7.0,t +46481,,Philippines,4.0,t +22721,100%,Ecuador,109.0,f +31739,91%,,1.0,f +5057,100%,Zimbabwe,23.0,t +46889,100%,,1.0,t +39282,100%,Gambia,2.0,f +19874,100%,,1.0,f +36105,100%,Cape Verde,1.0,t +46587,100%,Ecuador,1.0,t +9642,,,1.0,f +41432,,,1.0,f +37393,,Costa Rica,1.0,f +28628,100%,Gambia,1.0,t +25704,,Netherlands Antilles,1.0,t +1737,100%,Finland,3.0,f +5580,100%,Somalia,2.0,t +37841,0%,,1.0,t +31537,,,1.0,t +17089,100%,Gibraltar,2.0,t +48733,,,1.0,f +15138,,Lebanon,2.0,t +2941,,Tonga,2.0,t +11936,,,1.0,t +2167,,,1.0,t +20856,,,1.0,t +7033,100%,Vietnam,1.0,t +16805,100%,Tonga,1.0,t +27693,,Malta,1.0,f +47035,100%,,3.0,t +47877,,Faroe Islands,1.0,f +24775,97%,Montserrat,44.0,f +7945,0%,Cocos (Keeling) Islands,1.0,t +49442,100%,Australia,1.0,t +12870,,Canada,1.0,f +26706,,Anguilla,1.0,f +48049,,,1.0,f +44807,,Saint Helena,1.0,t +24775,97%,Montserrat,44.0,f +47286,100%,Micronesia,2.0,f +26114,100%,,1.0,t +20124,100%,France,2.0,t +45538,,Australia,1.0,f +27366,100%,Uzbekistan,9.0,t +46684,100%,Gibraltar,1.0,f +39649,100%,Uzbekistan,2.0,t +46055,,Latvia,2.0,t +42028,50%,,1.0,t +6533,,Gibraltar,4.0,f +45863,100%,,2.0,t +4774,100%,Niue,4.0,t +24618,,Sao Tome and Principe,4.0,f +22076,50%,Kenya,1.0,f +43155,,Jersey,1.0,f +17571,83%,,1.0,f +23650,100%,Gambia,3.0,f +28933,,Chad,3.0,t +23650,100%,Gambia,3.0,f +34994,100%,Monaco,1.0,t +27530,,Nicaragua,1.0,f +22794,50%,Cape Verde,36.0,t +41938,100%,Malta,3.0,f +15342,,Malawi,1.0,t +44375,,Sao Tome and Principe,1.0,f +24952,100%,Barbados,1.0,f +42084,,Sao Tome and Principe,2.0,f +30475,92%,Vietnam,40.0,f +38886,,Marshall Islands,1.0,f +19654,,Greenland,2.0,f +32181,,,1.0,t +42918,,,1.0,f +18943,100%,Mauritania,2.0,f +48504,,Netherlands,5.0,f +15981,,Slovakia (Slovak Republic),1.0,f +30899,,Reunion,8.0,f +34881,100%,China,6.0,f +41284,,Kenya,1.0,f +7231,100%,Uzbekistan,3.0,t +49718,100%,Malta,1.0,f +12548,90%,Togo,3.0,t +7587,67%,Canada,1.0,t +17391,,Brazil,1.0,t +14878,,,1.0,f +20136,60%,Croatia,1.0,f +32198,100%,France,3.0,t +37272,100%,,1.0,f +2650,100%,Kiribati,2.0,f +35254,,Niue,2.0,f +20207,,Pakistan,1.0,f +42458,97%,Indonesia,14.0,t +30571,65%,Barbados,3.0,t +27444,,Guinea,2.0,t +42965,100%,Uzbekistan,11.0,t +41291,,Brazil,3.0,f +39342,100%,Micronesia,3.0,f +26845,100%,,1.0,f +5003,100%,Jersey,8.0,f +6781,100%,Tanzania,1.0,f +18826,,Tonga,1.0,t +7723,,Puerto Rico,1.0,t +5908,,,2.0,t +41793,100%,Afghanistan,1.0,f +24618,,Sao Tome and Principe,4.0,f +12550,100%,,4.0,t +49183,100%,French Polynesia,1.0,f +17455,,Sao Tome and Principe,1.0,f +34427,,Faroe Islands,1.0,f +2589,,French Guiana,1.0,f +31004,100%,Indonesia,3.0,f +23431,100%,Indonesia,1.0,t +31000,,Brazil,1.0,f +13590,100%,Indonesia,2.0,t +7729,,Lithuania,1.0,t +17475,100%,France,2.0,f +2693,,Lebanon,1.0,f +32753,,Tonga,1.0,f +42469,,,2.0,t +31873,99%,Uzbekistan,22.0,f +7744,,Pakistan,1.0,f +34009,,Rwanda,1.0,t +28074,70%,,3.0,t +22250,100%,,4.0,f +23390,100%,French Guiana,1.0,f +41667,100%,,2.0,t +14165,,Malta,1.0,t +30544,,,1.0,f +10612,100%,Brazil,3.0,f +39149,100%,Peru,1.0,f +37897,0%,Tanzania,1.0,t +40917,100%,Russian Federation,3.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +46574,100%,Guinea,1.0,t +4446,100%,Uganda,58.0,f +21197,86%,Kiribati,1.0,f +24387,,Vanuatu,1.0,f +29647,100%,Peru,1305.0,f +41269,,Philippines,7.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44521,100%,,2.0,f +29647,100%,Peru,1305.0,f +24669,100%,Tonga,2.0,t +32633,,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +1757,75%,,1.0,t +28827,100%,Chile,1.0,t +34524,100%,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +40983,100%,Chad,4.0,f +29647,100%,Peru,1305.0,f +20469,33%,Guinea,1.0,t +29647,100%,Peru,1305.0,f +29243,100%,,1.0,t +38162,100%,Niger,8.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +10711,93%,Uganda,108.0,t +3675,100%,Estonia,1.0,t +41340,100%,Tanzania,3.0,t +29647,100%,Peru,1305.0,f +49723,,Zimbabwe,1.0,t +32009,100%,Maldives,1.0,t +18170,88%,France,1.0,f +30646,,Niue,1.0,f +46121,100%,Faroe Islands,1.0,f +37497,,Mauritania,2.0,f +44014,100%,,1.0,t +8208,,Uzbekistan,2.0,t +4495,0%,,1.0,f +40716,100%,,3.0,f +24159,,Marshall Islands,1.0,t +12249,,Denmark,2.0,f +11405,,Maldives,2.0,f +18454,100%,Nicaragua,5.0,t +9268,,,1.0,t +31707,100%,Niger,48.0,f +19979,100%,Tanzania,1.0,f +6571,90%,,1.0,t +28027,,Chile,1.0,t +36872,,,1.0,t +29647,100%,Peru,1305.0,f +31863,,Estonia,2.0,f +28828,100%,Isle of Man,198.0,t +29647,100%,Peru,1305.0,f +11889,,Denmark,1.0,f +8544,100%,Malawi,3.0,t +29647,100%,Peru,1305.0,f +16126,,,1.0,f +43152,100%,Nicaragua,82.0,t +8173,100%,Barbados,2.0,t +10225,,Canada,1.0,f +22721,100%,Ecuador,109.0,f +15770,100%,Cuba,2.0,t +42264,,Guinea,1.0,t +488,100%,Maldives,18.0,f +48603,100%,Guinea,40.0,f +982,99%,Marshall Islands,32.0,f +37081,,Tonga,1.0,f +40220,,Tonga,3.0,f +30216,98%,Maldives,34.0,f +5335,100%,Suriname,1.0,f +28828,100%,Isle of Man,198.0,t +48603,100%,Guinea,40.0,f +45756,,Croatia,1.0,f +44934,100%,Philippines,17.0,f +42217,,Niue,1.0,t +48603,100%,Guinea,40.0,f +4109,90%,Wallis and Futuna,1.0,f +23601,,Lebanon,1.0,t +23932,69%,Montserrat,6.0,f +20228,100%,,1.0,f +42591,100%,Guinea,1.0,t +24991,100%,Indonesia,14.0,f +48603,100%,Guinea,40.0,f +1399,,Nicaragua,2.0,t +10332,75%,Ecuador,2.0,t +48603,100%,Guinea,40.0,f +25390,,Greenland,1.0,f +46593,,,1.0,f +28828,100%,Isle of Man,198.0,t +48603,100%,Guinea,40.0,f +19322,,Niue,1.0,f +356,99%,Wallis and Futuna,32.0,t +48603,100%,Guinea,40.0,f +35417,,,1.0,t +7753,,Russian Federation,2.0,t +48592,63%,Isle of Man,3.0,f +29047,,Russian Federation,1.0,f +4485,95%,China,7.0,t +22284,,,1.0,f +11042,,Uruguay,1.0,t +48100,,Indonesia,1.0,t +42831,100%,Holy See (Vatican City State),4.0,t +26578,45%,Ecuador,10.0,f +42831,100%,Holy See (Vatican City State),4.0,t +42977,,Turkmenistan,3.0,f +15203,,,1.0,t +3235,,,1.0,f +44907,,Croatia,1.0,f +48202,,,1.0,f +6877,,Pakistan,1.0,f +47724,100%,Isle of Man,1.0,t +38256,60%,Guinea,1.0,f +10226,,Tonga,1.0,f +8804,100%,Malta,1.0,f +42452,,Niue,1.0,f +26981,,Philippines,4.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43948,100%,,1.0,f +42831,100%,Holy See (Vatican City State),4.0,t +46297,100%,Sao Tome and Principe,12.0,t +2258,100%,,3.0,t +39555,100%,Marshall Islands,13.0,t +9266,,,1.0,t +27267,95%,Tonga,6.0,f +6294,,Netherlands,1.0,f +47599,,,1.0,f +40808,100%,Mauritania,1.0,f +5188,100%,Nicaragua,1.0,f +37414,,Rwanda,2.0,t +28786,100%,,2.0,t +46128,90%,Costa Rica,1.0,f +19522,,Ghana,2.0,t +38787,,Faroe Islands,10.0,f +16718,100%,Portugal,5.0,f +26981,,Philippines,4.0,f +49901,,Tonga,1.0,t +31869,,Tonga,1.0,f +7209,100%,Uganda,3.0,f +33928,,Estonia,1.0,f +39555,100%,Marshall Islands,13.0,t +3495,,Zimbabwe,1.0,t +29647,100%,Peru,1305.0,f +17434,100%,Rwanda,1.0,t +23606,100%,,1.0,f +34377,,,1.0,t +37879,100%,Vanuatu,2.0,t +36115,100%,Afghanistan,3.0,f +17394,0%,Nicaragua,49.0,f +35537,100%,Isle of Man,4.0,t +24763,,,1.0,f +11234,100%,,2.0,f +4448,95%,,4.0,t +12003,100%,Uganda,8.0,t +44028,,Cape Verde,13.0,f +42528,100%,,1.0,f +44028,,Cape Verde,13.0,f +44028,,Cape Verde,13.0,f +44028,,Cape Verde,13.0,f +31004,100%,Indonesia,3.0,f +30414,,,2.0,f +687,100%,Kiribati,2.0,t +11117,100%,Isle of Man,2.0,t +30523,100%,,1.0,f +24472,,French Guiana,1.0,t +39583,100%,Micronesia,1.0,f +4092,,Nicaragua,6.0,f +31202,90%,Kiribati,107.0,f +23709,100%,Lebanon,1.0,t +18329,,Uzbekistan,1.0,f +47011,,Malawi,4.0,t +8661,100%,United Kingdom,2.0,t +47642,,,1.0,f +24991,100%,Indonesia,14.0,f +22794,50%,Cape Verde,36.0,t +4448,95%,,4.0,t +17394,0%,Nicaragua,49.0,f +22794,50%,Cape Verde,36.0,t +46365,100%,,1.0,f +23710,100%,Gambia,5.0,f +29647,100%,Peru,1305.0,f +22794,50%,Cape Verde,36.0,t +22794,50%,Cape Verde,36.0,t +42278,100%,Isle of Man,3.0,t +26097,100%,Uganda,1.0,f +48668,,Malta,1.0,t +47361,100%,Barbados,10.0,f +11412,100%,Kiribati,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +29953,,,1.0,f +25722,0%,Micronesia,1.0,t +26981,,Philippines,4.0,f +44332,100%,Jersey,2.0,t +8733,100%,Tonga,4.0,t +28271,,Gambia,2.0,f +7707,100%,Bouvet Island (Bouvetoya),1.0,t +29547,,Nicaragua,1.0,f +43272,,Cocos (Keeling) Islands,1.0,f +10711,93%,Uganda,108.0,t +39650,,Mexico,1.0,f +23184,100%,Lebanon,1.0,t +24273,,,1.0,f +15933,,,1.0,f +26145,0%,Guinea,1.0,t +18818,100%,,2.0,f +11069,100%,Micronesia,1.0,f +26698,100%,Uganda,5.0,t +11760,100%,Puerto Rico,2.0,f +29081,98%,Uzbekistan,18.0,f +33319,100%,Mauritania,2.0,t +35221,100%,Turks and Caicos Islands,30.0,t +19644,67%,Tunisia,1.0,t +35907,,Marshall Islands,1.0,t +11675,,Kenya,1.0,f +31576,,Isle of Man,2.0,f +47361,100%,Barbados,10.0,f +22426,,,2.0,t +32334,,,1.0,f +13505,,,1.0,f +39049,100%,,1.0,t +40262,,Barbados,1.0,f +24296,,Venezuela,1.0,t +6862,,,1.0,t +40529,,Chile,1.0,t +23852,,Rwanda,1.0,f +32488,,Senegal,17.0,t +43343,,,1.0,f +6543,100%,United Kingdom,3.0,t +17514,100%,Montserrat,1.0,f +27683,,,1.0,f +24026,98%,Cape Verde,69.0,t +100,,,4.0,f +26981,,Philippines,4.0,f +11956,,Gibraltar,4.0,t +100,,,4.0,f +32670,100%,,1.0,f +14809,100%,Niger,1.0,f +16781,100%,,1.0,t +36655,100%,Monaco,1.0,f +4448,95%,,4.0,t +45673,100%,United Kingdom,1.0,t +744,100%,Guinea,1.0,t +16606,100%,Svalbard & Jan Mayen Islands,2.0,t +36158,100%,Malta,4.0,f +10774,,Turks and Caicos Islands,1.0,t +1452,,,1.0,f +6234,100%,Isle of Man,4.0,t +27865,,,1.0,t +38118,,,1.0,f +17394,0%,Nicaragua,49.0,f +49199,,Cuba,1.0,f +2019,100%,Malta,7.0,f +35095,,Isle of Man,1.0,t +33831,100%,Faroe Islands,2.0,f +17059,,,1.0,t +24505,60%,,2.0,f +26578,45%,Ecuador,10.0,f +42433,,,1.0,t +45906,,,1.0,t +41052,0%,Guinea,1.0,f +3380,,Micronesia,3.0,f +22096,,,1.0,f +32368,,Denmark,1.0,t +35366,50%,,1.0,t +46520,,Canada,1.0,t +47361,100%,Barbados,10.0,f +23972,100%,Zimbabwe,2.0,t +6387,,Ghana,1.0,f +24957,,Marshall Islands,1.0,f +37556,,Cocos (Keeling) Islands,1.0,f +26764,100%,Faroe Islands,1.0,f +12199,,,1.0,f +21407,,,1.0,t +3380,,Micronesia,3.0,f +46187,100%,Gibraltar,2.0,f +29615,100%,Zimbabwe,2.0,t +47828,100%,Gibraltar,2.0,f +20069,100%,Monaco,3.0,f +35546,,Togo,1.0,t +6012,,Mauritania,1.0,f +34281,100%,,2.0,t +29615,100%,Zimbabwe,2.0,t +49196,100%,,2.0,f +38296,,Kiribati,1.0,f +36794,,,1.0,f +26192,,,1.0,f +25004,,,1.0,f +44588,100%,,1.0,f +12587,,Lebanon,1.0,t +42441,100%,Jersey,3.0,f +27195,,,2.0,t +21152,100%,El Salvador,1.0,f +21748,,,1.0,f +27195,,,2.0,t +45272,,,3.0,t +36499,75%,Anguilla,25.0,t +39995,,,1.0,f +43891,,China,2.0,t +27609,100%,Tonga,1.0,t +36862,,Tonga,1.0,f +14726,80%,,3.0,f +26148,100%,Kiribati,10.0,t +44273,91%,,2.0,f +33392,,Estonia,1.0,t +13652,,Lithuania,2.0,f +24808,,Cambodia,3.0,t +24991,100%,Indonesia,14.0,f +48405,,France,1.0,f +1523,100%,Uganda,2.0,t +24991,100%,Indonesia,14.0,f +1150,,Nauru,4.0,t +26177,,Faroe Islands,1.0,f +6322,100%,United Kingdom,1.0,t +31702,,,1.0,f +11567,100%,Niger,31.0,t +42281,100%,Marshall Islands,39.0,f +22794,50%,Cape Verde,36.0,t +44873,,,1.0,t +22987,,Andorra,1.0,f +49016,,,2.0,f +44825,,Marshall Islands,2.0,t +5300,100%,Cocos (Keeling) Islands,1.0,f +44396,,,1.0,t +37326,100%,,1.0,f +39851,,Reunion,1.0,f +38120,100%,Russian Federation,4.0,t +25081,,Russian Federation,1.0,f +22133,,,2.0,f +9544,100%,Monaco,2.0,t +23899,,,1.0,f +13204,100%,Russian Federation,2.0,t +712,,Niue,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +9929,,Turkmenistan,1.0,t +1808,,Chad,2.0,t +24974,,Niger,7.0,f +27498,100%,Indonesia,1.0,t +2394,,,2.0,t +17394,0%,Nicaragua,49.0,f +44770,90%,,1.0,t +34678,89%,Croatia,4.0,t +12548,90%,Togo,3.0,t +12662,,China,1.0,f +10711,93%,Uganda,108.0,t +35007,100%,,1.0,f +30582,100%,Senegal,2.0,t +28252,100%,Niue,2.0,f +521,0%,Malta,2.0,t +21089,,Holy See (Vatican City State),1.0,t +42977,,Turkmenistan,3.0,f +44905,,,1.0,t +6029,100%,Faroe Islands,1.0,t +31138,,Ecuador,1.0,t +5063,,Uganda,1.0,f +17790,100%,,1.0,t +8851,,,1.0,t +36499,75%,Anguilla,25.0,t +10938,100%,Estonia,1.0,f +32188,,Kiribati,1.0,f +34869,83%,,1.0,t +12947,100%,,2.0,f +29343,,Russian Federation,1.0,f +8174,,Jersey,2.0,t +29754,,Indonesia,2.0,f +20069,100%,Monaco,3.0,f +20680,83%,Russian Federation,3.0,t +8060,,,1.0,f +2203,100%,Ecuador,1.0,f +46722,100%,Palestinian Territory,1.0,t +22759,,,1.0,f +27566,,,1.0,f +11401,,Sao Tome and Principe,1.0,f +28320,100%,,1.0,f +20070,100%,,1.0,f +33443,,Kenya,1.0,f +31359,0%,Nicaragua,1.0,t +26953,0%,El Salvador,1.0,f +49625,100%,Malta,1.0,f +29498,,Croatia,1.0,f +11026,100%,Vanuatu,2.0,f +27912,,,1.0,f +25819,92%,,6.0,t +28828,100%,Isle of Man,198.0,t +46746,100%,El Salvador,1.0,f +9924,100%,Russian Federation,1.0,f +7944,71%,,1.0,t +14514,,China,80.0,t +41291,,Brazil,3.0,f +30582,100%,Senegal,2.0,t +9372,,Lebanon,1.0,f +26233,,,2.0,t +20139,,,1.0,f +26099,99%,Reunion,15.0,f +19080,,Cocos (Keeling) Islands,1.0,t +2763,100%,Marshall Islands,1.0,f +40192,100%,Croatia,2.0,t +23376,100%,Estonia,2.0,t +9571,,Sao Tome and Principe,1.0,t +7834,94%,Mexico,13.0,f +25634,100%,,1.0,t +34500,100%,Chad,1.0,t +1692,100%,Jersey,15.0,t +42977,,Turkmenistan,3.0,f +31502,,Libyan Arab Jamahiriya,1.0,f +12177,100%,France,6.0,t +47324,100%,,2.0,f +46051,,Nauru,1.0,f +6452,100%,Rwanda,2.0,f +24542,100%,Niue,1.0,f +47324,100%,,2.0,f +11824,,Nicaragua,1.0,f +8128,96%,Nauru,4.0,f +6861,,Somalia,1.0,t +17920,96%,,9.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +19963,86%,Finland,2.0,t +10711,93%,Uganda,108.0,t +1219,100%,Peru,2.0,f +7519,,,1.0,f +20334,99%,Niger,171.0,t +663,100%,,2.0,f +45342,,Niue,1.0,f +14689,100%,,2.0,f +23636,,Kiribati,1.0,f +39446,,Uzbekistan,1.0,f +26578,45%,Ecuador,10.0,f +26578,45%,Ecuador,10.0,f +30820,,Estonia,1.0,f +10711,93%,Uganda,108.0,t +35035,100%,Zimbabwe,1.0,t +11015,,United Kingdom,1.0,f +14257,100%,Holy See (Vatican City State),1.0,f +14254,100%,Nicaragua,4.0,f +45224,,,1.0,t +38486,100%,Afghanistan,7.0,f +4597,,Faroe Islands,1.0,f +37244,,Anguilla,8.0,t +15217,100%,,1.0,t +14902,,Guinea,1.0,t +34690,100%,Marshall Islands,1.0,t +41313,100%,Denmark,10.0,t +10647,100%,Uruguay,2.0,f +10304,100%,El Salvador,1.0,t +36499,75%,Anguilla,25.0,t +44590,100%,Faroe Islands,1.0,f +17148,100%,Vanuatu,2.0,f +8020,100%,,1.0,t +11562,100%,Ghana,5.0,f +2290,,Russian Federation,1.0,f +2714,100%,Bosnia and Herzegovina,8.0,f +32918,100%,,1.0,f +830,,Guernsey,1.0,t +39827,,Micronesia,1.0,t +44780,,Niue,1.0,t +29647,100%,Peru,1305.0,f +11535,,Marshall Islands,1.0,f +39812,100%,Nicaragua,6.0,t +29647,100%,Peru,1305.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +29647,100%,Peru,1305.0,f +1150,,Nauru,4.0,t +47001,100%,,1.0,t +29647,100%,Peru,1305.0,f +937,100%,French Guiana,3.0,f +40355,96%,Maldives,8.0,t +31104,100%,France,2.0,f +46588,100%,Tunisia,1.0,f +42281,100%,Marshall Islands,39.0,f +17394,0%,Nicaragua,49.0,f +24644,100%,,1.0,t +40781,100%,Guinea,5.0,f +24139,,Grenada,1.0,f +36499,75%,Anguilla,25.0,t +2363,,Barbados,3.0,t +23034,99%,Monaco,54.0,f +7888,,,1.0,t +46621,,Micronesia,1.0,t +44946,,,1.0,f +29647,100%,Peru,1305.0,f +44761,90%,Niger,1.0,f +31094,100%,,1.0,t +38932,,,1.0,t +19842,85%,Turkmenistan,53.0,f +27320,,,1.0,f +17920,96%,,9.0,f +2127,100%,French Guiana,1.0,f +26651,100%,Turkmenistan,1.0,f +33846,100%,Anguilla,1.0,f +4484,,Sao Tome and Principe,1.0,t +6894,80%,Estonia,47.0,t +11674,100%,Uzbekistan,4.0,f +36614,,,1.0,t +7075,,Malta,1.0,f +32453,100%,,3.0,t +22785,100%,,3.0,f +40922,,,2.0,f +45075,,,1.0,f +47274,100%,Tonga,48.0,f +42247,,Maldives,1.0,f +25096,,Suriname,1.0,t +40134,,Croatia,1.0,t +20108,100%,Marshall Islands,2.0,f +24311,100%,Uzbekistan,2.0,t +23034,99%,Monaco,54.0,f +31180,100%,,1.0,f +671,,Rwanda,1.0,f +12544,,,1.0,f +43923,,,1.0,t +17798,100%,,1.0,t +3218,100%,Zimbabwe,6.0,f +10711,93%,Uganda,108.0,t +38787,,Faroe Islands,10.0,f +36373,100%,Isle of Man,3.0,f +15248,,,1.0,t +33910,100%,Rwanda,8.0,t +36046,100%,,1.0,f +39759,,Faroe Islands,1.0,t +677,0%,Micronesia,1.0,f +7980,100%,Tonga,1.0,f +8128,96%,Nauru,4.0,f +42581,,Malta,1.0,f +8864,33%,,1.0,f +48407,67%,Zimbabwe,1.0,t +2881,100%,Anguilla,2.0,t +25328,,Isle of Man,1.0,f +10060,,Sao Tome and Principe,2.0,f +37291,,Anguilla,1.0,t +49881,95%,,4.0,f +35957,,Faroe Islands,2.0,t +33957,,French Guiana,1.0,f +22331,99%,Rwanda,50.0,t +46088,,Ghana,15.0,f +38026,,Marshall Islands,1.0,t +35108,100%,Niue,1.0,t +5705,,Niue,2.0,f +18167,,Sao Tome and Principe,2.0,t +3278,90%,Guinea,2.0,t +44806,,,1.0,t +22886,78%,,1.0,f +18910,100%,Mauritania,5.0,f +22608,,Cocos (Keeling) Islands,1.0,f +16718,100%,Portugal,5.0,f +29916,100%,Niue,4.0,t +22794,50%,Cape Verde,36.0,t +37447,,,1.0,f +20468,,,1.0,f +28772,100%,Niger,15.0,t +18573,,,5.0,f +3391,100%,Iran,58.0,t +14514,,China,80.0,t +29462,,,1.0,f +49398,88%,Barbados,18.0,t +1712,,Holy See (Vatican City State),1.0,t +4612,80%,,1.0,f +22710,,,1.0,f +37628,100%,,1.0,f +41692,90%,Guinea,2.0,f +26514,99%,Vietnam,10.0,f +43089,,Nicaragua,1.0,t +2265,,Sao Tome and Principe,4.0,t +42804,100%,Chad,1.0,f +40192,100%,Croatia,2.0,t +29787,,,1.0,f +35581,,,1.0,t +10711,93%,Uganda,108.0,t +49328,,Nauru,1.0,t +49937,,Papua New Guinea,1.0,t +45800,,Marshall Islands,1.0,f +22798,,,1.0,f +23254,100%,,1.0,f +45529,,,1.0,t +23932,69%,Montserrat,6.0,f +30567,,Gambia,1.0,f +23015,,Gambia,2.0,f +16850,100%,Sao Tome and Principe,3.0,t +31061,100%,Nicaragua,6.0,f +33728,100%,Monaco,2.0,f +48327,,French Guiana,1.0,f +37146,,,2.0,f +18075,,Tonga,2.0,f +3343,100%,Niue,1.0,t +40682,,,1.0,f +25576,,Brazil,1.0,t +19839,,,1.0,f +24993,67%,Canada,4.0,f +33276,,Holy See (Vatican City State),1.0,f +26920,,,1.0,t +26301,50%,Kiribati,1.0,f +7473,,Zimbabwe,3.0,t +30765,,Marshall Islands,2.0,f +30,100%,Guinea,1.0,f +23177,100%,Estonia,5.0,f +24580,,Guinea,1.0,f +6815,100%,Chad,1.0,f +9679,100%,Tonga,1.0,f +12493,70%,Sao Tome and Principe,4.0,t +48824,,Sao Tome and Principe,1.0,t +33391,,Uzbekistan,1.0,f +45552,93%,Nicaragua,12.0,t +1274,100%,,1.0,f +6494,100%,,1.0,t +6465,,Costa Rica,1.0,f +39812,100%,Nicaragua,6.0,t +24616,100%,Guinea,1.0,f +8436,,,1.0,f +1126,100%,Estonia,1.0,t +38968,,,1.0,f +18572,,,1.0,f +38951,100%,,1.0,t +30966,,Jersey,1.0,f +26036,,Svalbard & Jan Mayen Islands,2.0,f +30704,,Nicaragua,1.0,f +48583,,Gambia,1.0,t +47271,,Russian Federation,2.0,f +45496,40%,Niue,6.0,f +5960,100%,Russian Federation,1.0,t +34473,100%,Congo,1.0,t +44122,100%,,1.0,f +27785,100%,Uzbekistan,58.0,f +28641,,,2.0,t +36159,,,1.0,t +50058,100%,,1.0,f +7209,100%,Uganda,3.0,f +16233,100%,Jersey,1.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +7036,100%,Jersey,4.0,f +30857,,Niue,1.0,t +1692,100%,Jersey,15.0,t +36115,100%,Afghanistan,3.0,f +33110,100%,Russian Federation,1.0,t +4376,,,1.0,t +37990,100%,,1.0,f +38420,90%,Christmas Island,8.0,f +1692,100%,Jersey,15.0,t +19876,100%,Faroe Islands,2.0,f +6243,100%,,1.0,t +167,,Barbados,1.0,f +23466,100%,Anguilla,1.0,t +30952,,Cape Verde,1.0,f +8368,,,1.0,f +25843,,Lebanon,1.0,f +41187,,Bosnia and Herzegovina,1.0,f +2594,,,1.0,t +30449,,Senegal,1.0,t +49161,,,1.0,f +8606,,Niue,1.0,t +1200,100%,Russian Federation,2.0,t +36580,,Gibraltar,1.0,t +3318,100%,Russian Federation,1.0,f +7073,67%,Niue,2.0,t +37859,100%,French Guiana,1.0,t +9320,,,1.0,f +20515,100%,Niue,2.0,t +31432,,Bahrain,1.0,f +6935,,Holy See (Vatican City State),1.0,f +14930,,,1.0,t +34450,,Ecuador,1.0,t +1988,,Jersey,1.0,f +14095,,Russian Federation,1.0,f +9774,,Malta,1.0,f +42787,,Rwanda,1.0,f +5661,100%,,1.0,f +4470,100%,,2.0,f +39854,100%,Uganda,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +45682,100%,Uzbekistan,3.0,f +26952,,Russian Federation,3.0,t +48082,,Uzbekistan,2.0,f +36917,100%,Croatia,1.0,t +29647,100%,Peru,1305.0,f +19692,,,1.0,f +43725,100%,China,4.0,t +7344,20%,French Guiana,2.0,f +11728,,Chad,1.0,f +26036,,Svalbard & Jan Mayen Islands,2.0,f +3634,,,1.0,f +38544,100%,Marshall Islands,2.0,t +29152,,Costa Rica,1.0,f +30070,100%,,1.0,t +12908,,Russian Federation,1.0,t +17825,100%,,1.0,f +11567,100%,Niger,31.0,t +6590,,Maldives,2.0,f +38989,,Tonga,1.0,f +30670,,,1.0,f +48586,,Mexico,1.0,t +36374,100%,Rwanda,5.0,t +42979,20%,,1.0,t +46619,,Guinea,1.0,f +34799,100%,Brazil,2.0,t +17920,96%,,9.0,f +12368,,,1.0,f +26025,75%,Isle of Man,1.0,f +39491,,Brazil,1.0,f +45162,,Maldives,20.0,f +40435,,Croatia,1.0,t +8807,100%,Marshall Islands,2.0,t +3218,100%,Zimbabwe,6.0,f +33289,67%,Guinea,2.0,f +42239,100%,Ghana,2.0,f +4268,,Malta,1.0,f +49541,100%,French Guiana,6.0,f +45162,,Maldives,20.0,f +19860,90%,Ghana,1.0,f +10125,100%,Costa Rica,2.0,f +7376,,Guinea,2.0,t +27777,83%,Libyan Arab Jamahiriya,1.0,f +36178,100%,,4.0,t +49308,,Senegal,1.0,f +45162,,Maldives,20.0,f +11956,,Gibraltar,4.0,t +40183,,Montserrat,2.0,t +26008,,France,1.0,f +16671,,Turkmenistan,1.0,f +10554,0%,Russian Federation,2.0,f +17710,100%,Vanuatu,2.0,f +40377,100%,Brazil,1.0,f +45682,100%,Uzbekistan,3.0,f +16579,,,1.0,f +28163,100%,Sao Tome and Principe,5.0,t +14721,,Jersey,1.0,t +49623,100%,Faroe Islands,1.0,f +15576,100%,Niue,1.0,f +44774,90%,,1.0,t +28052,,,2.0,f +44071,,Faroe Islands,1.0,f +43660,,Cuba,1.0,f +19878,,,1.0,t +3452,,Isle of Man,1.0,t +22060,100%,,2.0,t +9890,60%,,1.0,t +45496,40%,Niue,6.0,f +24529,,Maldives,2.0,f +7407,,,7.0,t +32805,100%,Uzbekistan,1.0,t +24323,100%,Faroe Islands,3.0,f +11567,100%,Niger,31.0,t +4503,100%,Guinea,2.0,f +29119,100%,Nicaragua,2.0,f +30778,100%,Guernsey,1.0,t +16856,,Costa Rica,1.0,t +4550,100%,Senegal,2.0,f +23508,,,1.0,t +7080,60%,Rwanda,1.0,t +6088,100%,,14.0,t +17920,96%,,9.0,f +2107,100%,,1.0,t +45971,100%,,2.0,t +39519,,,2.0,t +33372,100%,Guinea,22.0,t +24973,,Bahrain,1.0,t +2881,100%,Anguilla,2.0,t +40061,100%,Micronesia,3.0,f +22794,50%,Cape Verde,36.0,t +24672,100%,,1.0,f +21179,,French Guiana,1.0,t +488,100%,Maldives,18.0,f +17920,96%,,9.0,f +30008,90%,,1.0,t +48747,,Marshall Islands,1.0,f +22794,50%,Cape Verde,36.0,t +46572,,,1.0,f +9803,,Monaco,1.0,t +13499,43%,Malawi,1.0,t +23305,100%,Philippines,11.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +22904,,Montserrat,1.0,t +18459,100%,Zimbabwe,100.0,f +1458,,,1.0,f +41304,100%,,3.0,f +18459,100%,Zimbabwe,100.0,f +17873,100%,El Salvador,1.0,f +33372,100%,Guinea,22.0,t +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +19447,,Afghanistan,2.0,t +5302,100%,Nicaragua,6.0,f +18459,100%,Zimbabwe,100.0,f +21213,94%,Kiribati,5.0,t +33372,100%,Guinea,22.0,t +18459,100%,Zimbabwe,100.0,f +17394,0%,Nicaragua,49.0,f +5302,100%,Nicaragua,6.0,f +33372,100%,Guinea,22.0,t +46088,,Ghana,15.0,f +33372,100%,Guinea,22.0,t +4132,,Kenya,4.0,f +33372,100%,Guinea,22.0,t +10904,75%,,1.0,t +47758,,Puerto Rico,1.0,f +3125,,Brazil,1.0,f +27680,,,1.0,t +27370,,Puerto Rico,1.0,f +17037,,Turkmenistan,1.0,t +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +16342,,Marshall Islands,6.0,t +25923,,Fiji,1.0,f +3194,100%,,1.0,t +11183,,Svalbard & Jan Mayen Islands,2.0,f +25826,,Jersey,1.0,f +33539,,,3.0,f +12327,,,1.0,f +41973,,Afghanistan,1.0,f +16110,,,1.0,t +19297,100%,,1.0,t +17920,96%,,9.0,f +17476,100%,Pakistan,4.0,t +42436,,Ghana,4.0,f +6173,,,1.0,t +32690,,,1.0,t +29647,100%,Peru,1305.0,f +39702,,Bosnia and Herzegovina,1.0,f +3162,100%,Montserrat,6.0,t +27267,95%,Tonga,6.0,f +45796,,Micronesia,1.0,f +46437,,,5.0,f +10180,100%,Maldives,1.0,t +43525,100%,Somalia,1.0,f +6070,,Maldives,1.0,t +42390,100%,Wallis and Futuna,96.0,t +27661,,Niue,1.0,f +29908,,United Kingdom,1.0,f +8234,,,1.0,t +33372,100%,Guinea,22.0,t +45816,,Nauru,1.0,f +22794,50%,Cape Verde,36.0,t +43626,,Zimbabwe,2.0,f +13742,90%,El Salvador,5.0,t +9693,100%,Vanuatu,8.0,f +37063,100%,Barbados,1.0,f +8439,97%,Rwanda,17.0,t +40061,100%,Micronesia,3.0,f +32103,,Rwanda,1.0,f +19522,,Ghana,2.0,t +16265,,China,1.0,f +21941,,Estonia,1.0,f +40258,100%,France,1.0,t +18662,70%,Uruguay,4.0,t +40838,90%,,3.0,f +2802,93%,Togo,3.0,t +5555,100%,Denmark,11.0,t +2802,93%,Togo,3.0,t +25227,,Kiribati,1.0,f +28736,,Senegal,1.0,t +37221,100%,Niue,1.0,f +38687,,Uzbekistan,1.0,t +21825,,,1.0,f +44887,100%,Micronesia,1.0,t +25222,80%,Kenya,11.0,t +5175,,,1.0,f +16588,,Zimbabwe,1.0,f +3728,,Netherlands,1.0,t +41388,,,1.0,t +4467,,Portugal,1.0,f +30762,100%,French Guiana,1.0,t +13924,,China,1.0,f +18078,100%,Montserrat,13.0,t +14009,100%,Russian Federation,1.0,f +43564,70%,,3.0,f +641,,,1.0,f +48763,100%,Christmas Island,1.0,f +34295,100%,Monaco,1.0,f +25819,92%,,6.0,t +35201,100%,Mexico,2.0,f +15781,100%,,1.0,t +17394,0%,Nicaragua,49.0,f +279,100%,,2.0,t +12855,,,1.0,t +819,,Isle of Man,2.0,f +35376,100%,Malta,2.0,f +22435,100%,Svalbard & Jan Mayen Islands,1.0,f +36501,,Russian Federation,1.0,f +28977,,Costa Rica,1.0,f +35439,94%,United Kingdom,23.0,t +5249,100%,Vanuatu,2.0,t +4456,100%,Niue,1.0,f +12613,,Gibraltar,2.0,t +48884,,Lebanon,1.0,f +13903,,Sao Tome and Principe,1.0,f +29563,100%,Jersey,2.0,f +45643,,Indonesia,1.0,f +28271,,Gambia,2.0,f +42044,,Uruguay,1.0,f +43558,,El Salvador,1.0,f +47666,100%,,1.0,t +8730,100%,,1.0,f +22113,,,1.0,t +38146,,Papua New Guinea,2.0,f +13887,,Isle of Man,1.0,f +45965,100%,Estonia,8.0,f +12348,,,1.0,f +40573,75%,,1.0,f +37125,100%,Rwanda,1.0,f +15824,100%,Rwanda,3.0,t +8216,,,1.0,f +39846,,Isle of Man,1.0,t +45553,90%,Brazil,16.0,t +19960,67%,Lebanon,1.0,t +45965,100%,Estonia,8.0,f +38029,,,1.0,f +29067,80%,Russian Federation,15.0,f +25873,100%,Russian Federation,1.0,t +34037,0%,Togo,2.0,f +44319,100%,Turks and Caicos Islands,1.0,f +44880,,United Kingdom,2.0,t +7596,,Bahrain,2.0,f +11060,,,1.0,f +11217,,Niue,3.0,f +18123,100%,Russian Federation,3.0,f +12015,,,1.0,f +28944,100%,,1.0,f +6699,,Micronesia,1.0,t +1796,100%,Mauritania,5.0,f +17394,0%,Nicaragua,49.0,f +1859,50%,Gibraltar,1.0,f +45902,,Sao Tome and Principe,5.0,t +31540,100%,Peru,3.0,t +44691,,,1.0,f +854,100%,Venezuela,4.0,t +33961,100%,Indonesia,3.0,t +100,,,4.0,f +15772,,,1.0,f +34582,,,1.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +27452,100%,Puerto Rico,3.0,t +25486,,Bouvet Island (Bouvetoya),1.0,f +45833,,Cocos (Keeling) Islands,1.0,f +35679,100%,,2.0,f +45135,,,1.0,f +13127,100%,Niger,22.0,f +36253,100%,Nauru,21.0,t +45260,94%,,19.0,f +38669,100%,Kiribati,3.0,f +11104,100%,,3.0,t +36701,,,5.0,f +5342,,Greenland,1.0,f +23654,100%,Uzbekistan,23.0,f +7596,,Bahrain,2.0,f +18969,,Guinea,1.0,f +46441,100%,,1.0,t +32016,,,1.0,f +49219,,,2.0,t +4235,,Bosnia and Herzegovina,3.0,f +12278,100%,,1.0,f +45260,94%,,19.0,f +6894,80%,Estonia,47.0,t +1011,97%,Russian Federation,8.0,t +45260,94%,,19.0,f +15004,100%,Uzbekistan,88.0,f +33485,100%,Lebanon,2.0,t +42281,100%,Marshall Islands,39.0,f +41889,96%,Uzbekistan,14.0,t +551,95%,Rwanda,17.0,f +15004,100%,Uzbekistan,88.0,f +36856,100%,,7.0,f +42281,100%,Marshall Islands,39.0,f +28359,,Micronesia,1.0,f +15004,100%,Uzbekistan,88.0,f +10739,,Reunion,2.0,f +22604,100%,Saint Helena,2.0,t +25432,67%,Croatia,1.0,f +22077,100%,Mauritania,10.0,f +11078,100%,,1.0,t +13825,100%,Cocos (Keeling) Islands,2.0,f +36158,100%,Malta,4.0,f +30644,,Kiribati,1.0,t +10695,100%,,2.0,f +29978,89%,Uzbekistan,26.0,f +43721,,,1.0,f +2714,100%,Bosnia and Herzegovina,8.0,f +29996,,Sao Tome and Principe,1.0,f +42765,100%,Tonga,1.0,t +36701,,,5.0,f +36158,100%,Malta,4.0,f +3582,,Zimbabwe,1.0,f +7008,,,1.0,f +42902,,,1.0,t +16718,100%,Portugal,5.0,f +2816,,Togo,1.0,t +32511,88%,Holy See (Vatican City State),5.0,t +18459,100%,Zimbabwe,100.0,f +22450,,Nicaragua,1.0,t +42408,,Afghanistan,1.0,t +18459,100%,Zimbabwe,100.0,f +48014,100%,,2.0,f +20276,100%,,1.0,f +36525,,Marshall Islands,2.0,f +25495,,,1.0,t +23034,99%,Monaco,54.0,f +18871,,Isle of Man,2.0,t +36253,100%,Nauru,21.0,t +1796,100%,Mauritania,5.0,f +1796,100%,Mauritania,5.0,f +8376,100%,Guinea,3.0,t +9692,100%,,2.0,f +42018,,,1.0,f +28741,89%,,1.0,t +6909,,Malta,1.0,f +16042,0%,Rwanda,2.0,f +17386,,Faroe Islands,1.0,f +21397,100%,Jersey,1.0,f +43821,,Vietnam,3.0,t +35424,100%,Slovakia (Slovak Republic),1.0,f +35999,100%,Mauritania,3.0,t +49418,,Niue,2.0,f +2394,,,2.0,t +20855,,,1.0,f +1938,100%,,1.0,t +4063,,,1.0,t +12599,,Barbados,1.0,t +32952,,Chad,1.0,t +17266,100%,Canada,2.0,f +45356,,Guinea,1.0,t +42281,100%,Marshall Islands,39.0,f +37327,,Uganda,1.0,t +38870,0%,Monaco,1.0,f +37810,,,2.0,f +36758,89%,Russian Federation,2.0,f +18459,100%,Zimbabwe,100.0,f +8285,,Congo,1.0,f +25253,,Nicaragua,1.0,f +36253,100%,Nauru,21.0,t +31025,,,1.0,f +1077,,,1.0,f +36253,100%,Nauru,21.0,t +36607,100%,,2.0,t +15004,100%,Uzbekistan,88.0,f +36253,100%,Nauru,21.0,t +1159,100%,Monaco,1.0,t +14283,,Uzbekistan,2.0,t +43600,,Nicaragua,1.0,t +24349,100%,Guinea,2.0,t +1979,,,1.0,t +10945,,,1.0,t +40078,100%,Croatia,7.0,t +20134,,,1.0,t +15531,,Monaco,1.0,t +10785,,,1.0,t +23835,100%,Guinea,1.0,f +4968,,Svalbard & Jan Mayen Islands,1.0,t +38867,,Zimbabwe,1.0,f +48323,100%,Lithuania,1.0,f +28634,,Philippines,1.0,t +49664,,,1.0,f +22523,100%,Rwanda,9.0,f +42476,,Lebanon,1.0,f +28828,100%,Isle of Man,198.0,t +32175,,,1.0,f +30769,,Zimbabwe,1.0,t +36792,100%,Bouvet Island (Bouvetoya),1.0,f +2139,,Sao Tome and Principe,1.0,f +11664,,,6.0,f +40547,,,1.0,f +48448,,Reunion,1.0,f +22523,100%,Rwanda,9.0,f +34353,100%,Palestinian Territory,1.0,f +3570,,,1.0,f +47044,,,1.0,t +8848,,,1.0,f +17090,,Gambia,2.0,f +32951,,Nicaragua,1.0,f +49197,90%,,3.0,f +19876,100%,Faroe Islands,2.0,f +26450,,,1.0,f +44630,100%,,1.0,t +47635,,Senegal,4.0,t +9852,100%,Maldives,11.0,f +41788,100%,Turks and Caicos Islands,6.0,f +20840,70%,,1.0,f +42339,,Uzbekistan,1.0,f +8266,,Andorra,1.0,f +48715,,Turkmenistan,1.0,t +43439,,,1.0,f +25883,,Malta,1.0,t +1324,100%,Nicaragua,1.0,f +2239,100%,Marshall Islands,1.0,t +10854,,Faroe Islands,1.0,f +25921,,,1.0,t +23299,100%,Sao Tome and Principe,1.0,f +44146,36%,Malawi,2.0,t +47142,100%,Tonga,1.0,f +12567,,Micronesia,1.0,t +35224,,Mauritania,2.0,t +36266,,Netherlands,2.0,f +22133,,,2.0,f +35570,,,1.0,f +46655,,United Kingdom,1.0,f +31317,,Montserrat,1.0,f +45914,100%,Zimbabwe,1.0,t +9852,100%,Maldives,11.0,f +11213,100%,Svalbard & Jan Mayen Islands,2.0,t +9152,50%,Nicaragua,1.0,f +23218,,China,1.0,t +26367,,France,1.0,t +14707,,,2.0,f +16589,100%,Niue,1.0,f +44966,100%,Guinea,21.0,f +26461,,Monaco,1.0,f +12176,50%,,1.0,t +24699,80%,Barbados,2.0,t +16725,100%,Turkmenistan,3.0,t +33925,,,1.0,f +47293,100%,,3.0,f +10260,,Indonesia,1.0,t +33372,100%,Guinea,22.0,t +22273,100%,,2.0,f +6084,100%,,1.0,f +39374,100%,Gibraltar,1.0,t +44864,,Malta,3.0,t +18811,70%,,2.0,f +37887,,,1.0,f +48014,100%,,2.0,f +26470,100%,Brunei Darussalam,1.0,f +21627,,Niue,1.0,f +3516,,,1.0,f +20446,100%,Denmark,1.0,f +296,,,1.0,f +47121,90%,,3.0,f +25519,100%,Slovakia (Slovak Republic),9.0,t +23136,,Afghanistan,2.0,t +47121,90%,,3.0,f +15219,,Guinea,1.0,t +23742,,,1.0,t +47121,90%,,3.0,f +33094,100%,El Salvador,1.0,t +783,100%,Svalbard & Jan Mayen Islands,12.0,t +24280,100%,,2.0,f +43296,,Faroe Islands,1.0,t +41743,,,1.0,f +15213,,Falkland Islands (Malvinas),2.0,f +22917,100%,Gambia,1.0,f +13974,,Russian Federation,2.0,f +48497,,Tonga,1.0,f +40983,100%,Chad,4.0,f +38665,,Djibouti,4.0,f +46376,100%,,1.0,f +38210,,,1.0,t +22794,50%,Cape Verde,36.0,t +22794,50%,Cape Verde,36.0,t +22794,50%,Cape Verde,36.0,t +39109,77%,Ukraine,24.0,t +36856,100%,,7.0,f +28394,,Senegal,2.0,f +18637,,,2.0,f +34143,100%,Gambia,1.0,t +22794,50%,Cape Verde,36.0,t +29454,100%,Guinea,1.0,f +20334,99%,Niger,171.0,t +44934,100%,Philippines,17.0,f +11030,100%,Guinea,1.0,f +35304,100%,Tonga,12.0,t +18637,,,2.0,f +48622,60%,,1.0,t +39794,,,1.0,t +17029,,Kenya,1.0,t +36856,100%,,7.0,f +5286,70%,Brazil,2.0,f +37127,100%,Guinea,3.0,f +19494,,Sao Tome and Principe,3.0,t +42768,50%,Marshall Islands,1.0,f +20640,,Slovakia (Slovak Republic),1.0,t +12230,90%,Guinea,3.0,f +40948,90%,,1.0,f +1167,,Guinea,1.0,t +17096,,Somalia,1.0,t +1319,,,1.0,t +21471,100%,Isle of Man,2.0,f +11435,100%,,2.0,t +191,,,1.0,t +11316,100%,Uzbekistan,4.0,t +48261,,Kenya,1.0,f +28129,,China,2.0,f +27517,80%,Nicaragua,3.0,f +17401,100%,Russian Federation,4.0,f +31350,,Uruguay,1.0,t +7362,,French Guiana,1.0,t +29647,100%,Peru,1305.0,f +25193,0%,,2.0,t +16387,100%,Uganda,3.0,f +25853,,Malawi,1.0,f +29647,100%,Peru,1305.0,f +40953,100%,Cocos (Keeling) Islands,1.0,f +13753,100%,,2.0,f +15004,100%,Uzbekistan,88.0,f +20069,100%,Monaco,3.0,f +15004,100%,Uzbekistan,88.0,f +29578,100%,Chile,2.0,f +43682,,,1.0,f +45821,100%,Nicaragua,1.0,t +38900,0%,Uzbekistan,1.0,f +35505,,Peru,1.0,t +26536,,Denmark,1.0,f +35898,33%,Niue,3.0,t +37087,,,1.0,f +43953,,,2.0,f +23566,,Denmark,1.0,f +43953,,,2.0,f +956,100%,Nicaragua,3.0,t +8922,100%,Turks and Caicos Islands,2.0,t +35125,,Kenya,2.0,t +46711,,Uzbekistan,1.0,f +49310,,Niue,1.0,f +7061,100%,France,1.0,f +4322,97%,Tonga,32.0,f +47561,,Russian Federation,1.0,f +1356,,Senegal,2.0,f +24244,,Solomon Islands,1.0,f +28828,100%,Isle of Man,198.0,t +18882,50%,,1.0,f +13976,75%,Guinea,1.0,f +34349,50%,,1.0,f +14436,100%,Reunion,1.0,f +5939,,Nauru,1.0,f +47566,64%,,5.0,f +19986,,Montserrat,1.0,f +48740,,Chile,1.0,f +41262,,Jersey,1.0,f +5327,100%,Togo,5.0,t +17394,0%,Nicaragua,49.0,f +13199,0%,Denmark,1.0,f +27152,100%,Kenya,4.0,f +14432,100%,Guinea,2.0,t +27836,100%,Niger,1.0,f +39281,0%,France,1.0,f +7358,100%,French Polynesia,3.0,f +32318,50%,Canada,3.0,f +7354,100%,Cape Verde,1.0,f +30111,,,1.0,f +30710,,Russian Federation,1.0,f +16062,100%,Brazil,2.0,f +8062,,Estonia,1.0,f +14915,,Cocos (Keeling) Islands,1.0,f +28828,100%,Isle of Man,198.0,t +14056,,Chile,1.0,t +29649,70%,Congo,1.0,f +28467,100%,Faroe Islands,3.0,t +18766,,Chad,2.0,t +18623,100%,,2.0,f +47487,90%,,3.0,f +29647,100%,Peru,1305.0,f +4133,90%,Maldives,6.0,f +37639,100%,Nauru,11.0,f +45812,,,1.0,f +33991,,,2.0,f +29647,100%,Peru,1305.0,f +47566,64%,,5.0,f +48503,90%,Sao Tome and Principe,5.0,t +29647,100%,Peru,1305.0,f +13583,100%,,1.0,t +8383,,Chad,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +24315,,,1.0,f +20316,,Isle of Man,1.0,t +12124,,Brazil,2.0,f +12042,100%,,1.0,f +3218,100%,Zimbabwe,6.0,f +24576,,Russian Federation,1.0,f +10607,,Niue,1.0,f +11784,100%,Gambia,1.0,f +44223,,Micronesia,1.0,t +4785,100%,,1.0,f +40696,100%,,1.0,t +30024,,Jersey,1.0,f +9303,,,1.0,f +29647,100%,Peru,1305.0,f +35305,100%,,2.0,f +23984,,,1.0,t +29647,100%,Peru,1305.0,f +10004,90%,Marshall Islands,3.0,t +34403,,,1.0,f +100,,,4.0,f +46625,,Holy See (Vatican City State),1.0,f +8787,,Micronesia,5.0,f +36125,,,1.0,f +48289,,Tonga,1.0,f +9363,95%,Ukraine,50.0,f +36956,100%,Venezuela,1.0,t +38622,,,1.0,f +27413,100%,,1.0,t +28772,100%,Niger,15.0,t +28772,100%,Niger,15.0,t +28772,100%,Niger,15.0,t +17415,,,1.0,f +14707,,,2.0,f +10434,100%,United Kingdom,4.0,f +20608,100%,Uzbekistan,1.0,t +45286,,,1.0,f +33918,,Marshall Islands,1.0,f +28772,100%,Niger,15.0,t +29259,,,1.0,f +34681,100%,,1.0,f +14342,,Papua New Guinea,2.0,t +17027,,French Guiana,1.0,f +10918,100%,Isle of Man,1.0,t +31012,100%,Saint Helena,1.0,t +5945,,French Guiana,1.0,t +530,100%,Lithuania,2.0,t +32472,,,1.0,f +47018,0%,,1.0,f +12833,100%,Uzbekistan,3.0,t +25573,,Reunion,1.0,f +21364,,,1.0,t +20789,98%,Sao Tome and Principe,13.0,f +33384,,Micronesia,1.0,f +6323,100%,,2.0,f +28465,,United Kingdom,1.0,f +43179,,Vanuatu,1.0,f +1432,67%,,1.0,f +21050,100%,,1.0,f +16296,,Vanuatu,1.0,f +34294,100%,Ghana,4.0,f +35641,,Netherlands,15.0,t +18245,,Australia,1.0,f +48519,,Isle of Man,1.0,t +33631,,Chad,1.0,t +49573,,Mexico,1.0,t +49825,100%,Pakistan,7.0,t +6894,80%,Estonia,47.0,t +5057,100%,Zimbabwe,23.0,t +24099,,France,4.0,f +29647,100%,Peru,1305.0,f +24839,100%,Mauritania,2.0,t +43676,,Djibouti,1.0,f +21743,,Papua New Guinea,1.0,f +33748,30%,Uzbekistan,3.0,t +10711,93%,Uganda,108.0,t +48066,80%,Papua New Guinea,1.0,f +42348,100%,Gambia,2.0,f +45965,100%,Estonia,8.0,f +30687,,,1.0,f +37646,100%,Estonia,60.0,f +40005,,Nicaragua,1.0,t +18082,100%,Chad,1.0,t +15273,100%,,2.0,f +28828,100%,Isle of Man,198.0,t +48409,,Estonia,60.0,t +6767,,,3.0,f +17031,80%,Reunion,7.0,t +41237,100%,Lebanon,1.0,f +558,,,1.0,f +10206,100%,,6.0,t +47091,90%,United Kingdom,3.0,f +8457,50%,Niue,1.0,f +19189,,,1.0,f +22794,50%,Cape Verde,36.0,t +29650,100%,France,1.0,f +36302,100%,Vanuatu,1.0,f +23074,,French Guiana,1.0,f +20334,99%,Niger,171.0,t +43767,100%,,1.0,f +44700,,Lebanon,1.0,f +19067,100%,Puerto Rico,2.0,f +4110,,,3.0,f +40200,,,1.0,t +4110,,,3.0,f +22872,,,1.0,f +38226,,,1.0,t +15279,,Afghanistan,22.0,t +18974,,,1.0,f +42302,50%,,1.0,f +34480,100%,,1.0,f +32005,,,1.0,t +6460,100%,,1.0,f +36051,,,1.0,f +49197,90%,,3.0,f +49304,,,1.0,t +41313,100%,Denmark,10.0,t +70,67%,Cuba,1.0,f +15310,100%,Turks and Caicos Islands,1.0,f +41088,,,1.0,f +10434,100%,United Kingdom,4.0,f +37889,,,1.0,t +40851,,,1.0,f +43550,100%,Rwanda,16.0,t +9654,,,1.0,t +36211,,Bosnia and Herzegovina,1.0,f +14530,,Marshall Islands,1.0,t +7787,71%,,2.0,f +9425,100%,,2.0,f +29412,,,2.0,t +47625,,Niue,1.0,f +4867,,Gambia,1.0,f +3802,,Monaco,1.0,f +26056,,Kiribati,1.0,f +3020,100%,,1.0,f +2153,,Uzbekistan,1.0,f +3237,100%,Turkmenistan,2.0,t +30216,98%,Maldives,34.0,f +22331,99%,Rwanda,50.0,t +29647,100%,Peru,1305.0,f +10889,100%,Marshall Islands,2.0,t +33452,100%,Guinea,3.0,f +29647,100%,Peru,1305.0,f +12900,,Cocos (Keeling) Islands,1.0,t +10194,0%,,1.0,f +39173,,Lebanon,2.0,t +29647,100%,Peru,1305.0,f +35216,50%,Marshall Islands,1.0,t +21871,,Kenya,2.0,f +38876,0%,,3.0,t +1313,,Vanuatu,1.0,f +36533,,Kenya,1.0,f +29647,100%,Peru,1305.0,f +9202,100%,,1.0,f +2692,,Sao Tome and Principe,1.0,t +29647,100%,Peru,1305.0,f +27907,100%,Puerto Rico,21.0,f +18064,,Isle of Man,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +27479,,,1.0,f +29647,100%,Peru,1305.0,f +38045,97%,Uzbekistan,7.0,f +16344,100%,Nicaragua,1.0,f +10504,,,1.0,f +29647,100%,Peru,1305.0,f +12543,,Uzbekistan,3.0,t +29647,100%,Peru,1305.0,f +1290,100%,,1.0,t +13592,,United Kingdom,1.0,f +30708,100%,Australia,5.0,f +44019,60%,Maldives,1.0,t +16358,100%,,1.0,f +40677,,,3.0,f +12993,100%,Montserrat,3.0,t +32636,,Gibraltar,2.0,f +48063,,Rwanda,1.0,f +40531,80%,Niue,1.0,f +19366,,Kiribati,1.0,f +36316,,United Kingdom,2.0,f +21718,,,2.0,f +23270,100%,Indonesia,4.0,f +2898,,Saint Helena,1.0,t +30899,,Reunion,8.0,f +524,100%,Croatia,1.0,f +1857,,,2.0,t +15647,100%,Bosnia and Herzegovina,2.0,t +5782,,Malta,1.0,f +20788,,,1.0,f +9293,100%,Puerto Rico,2.0,f +44186,,Guinea,1.0,f +11183,,Svalbard & Jan Mayen Islands,2.0,f +22331,99%,Rwanda,50.0,t +38737,,Uzbekistan,2.0,t +41313,100%,Denmark,10.0,t +28077,,,1.0,f +40034,90%,Uganda,1.0,t +15641,,Tonga,2.0,t +9692,100%,,2.0,f +33108,100%,Costa Rica,3.0,f +9293,100%,Puerto Rico,2.0,f +44020,100%,,2.0,t +835,,Russian Federation,1.0,f +16360,,,2.0,f +29574,,,1.0,f +12834,,Malawi,1.0,t +49338,,,1.0,f +20680,83%,Russian Federation,3.0,t +6118,,Denmark,3.0,f +38178,,Lebanon,1.0,f +44519,,Cocos (Keeling) Islands,1.0,f +31169,,Niue,1.0,f +30116,100%,Nicaragua,2.0,f +41077,71%,Nauru,2.0,f +5694,,France,1.0,t +20811,,Lithuania,1.0,f +20810,,,1.0,f +40708,,,1.0,t +26541,100%,Nicaragua,12.0,f +36998,92%,Lebanon,10.0,f +10123,0%,,1.0,f +45772,100%,Denmark,3.0,f +12164,100%,Nicaragua,8.0,f +26541,100%,Nicaragua,12.0,f +9428,100%,,1.0,f +5462,,Togo,1.0,f +14972,100%,,1.0,f +16490,67%,,1.0,t +36525,,Marshall Islands,2.0,f +25247,,,1.0,f +18262,100%,Netherlands,1.0,f +29976,100%,,3.0,f +26916,100%,French Guiana,1.0,f +13389,,,1.0,f +6432,100%,,2.0,t +16751,,,1.0,f +44676,100%,Venezuela,1.0,t +46123,100%,Tunisia,1.0,t +39174,,Mauritania,1.0,f +10229,86%,Isle of Man,2.0,t +20267,,Faroe Islands,1.0,t +15004,100%,Uzbekistan,88.0,f +29647,100%,Peru,1305.0,f +3946,96%,Anguilla,4.0,t +27965,100%,Faroe Islands,3.0,f +21270,100%,Jersey,1.0,t +34875,80%,Svalbard & Jan Mayen Islands,1.0,f +940,0%,,1.0,f +46620,,,1.0,t +12715,100%,Estonia,29.0,f +17297,,Guinea,1.0,f +5205,,Slovakia (Slovak Republic),6.0,t +28046,100%,Cape Verde,5.0,f +44157,,Rwanda,6.0,t +48737,,Russian Federation,1.0,f +45772,100%,Denmark,3.0,f +16074,100%,Faroe Islands,1.0,t +4541,,Chad,1.0,f +31698,,Ghana,3.0,f +40586,100%,Uzbekistan,1.0,t +5290,,,1.0,f +8380,,Niue,1.0,t +21052,,,1.0,f +46535,50%,,1.0,f +31226,100%,,1.0,f +4135,,France,1.0,f +45174,,,1.0,f +45266,100%,Guernsey,1.0,f +3324,,Costa Rica,1.0,f +1782,,,2.0,f +41313,100%,Denmark,10.0,t +4628,,,1.0,t +45364,,Maldives,1.0,f +26022,100%,Russian Federation,1.0,f +39248,97%,Cuba,5.0,f +27617,,Indonesia,1.0,t +5624,,French Guiana,1.0,t +6852,,Costa Rica,1.0,f +49219,,,2.0,t +10419,,Niue,1.0,f +48768,,,2.0,t +14794,100%,,1.0,f +26522,,Togo,1.0,f +32342,,Uzbekistan,1.0,f +17528,100%,Turkmenistan,1.0,t +48929,100%,Niue,4.0,f +20567,,Ecuador,1.0,f +19679,,,1.0,f +2449,,French Guiana,1.0,f +28828,100%,Isle of Man,198.0,t +46249,,Lebanon,2.0,t +42956,100%,Malta,1.0,f +19803,75%,Guinea,2.0,f +5302,100%,Nicaragua,6.0,f +6894,80%,Estonia,47.0,t +31507,67%,,2.0,t +34355,,,2.0,t +29499,,Uzbekistan,1.0,t +5302,100%,Nicaragua,6.0,f +12938,92%,Reunion,12.0,f +5302,100%,Nicaragua,6.0,f +12563,,,1.0,t +36240,100%,,1.0,f +5942,,Russian Federation,1.0,t +9565,,,1.0,f +42873,,Isle of Man,1.0,f +15641,,Tonga,2.0,t +38822,100%,French Guiana,2.0,t +34325,100%,Gibraltar,1.0,t +23253,50%,Puerto Rico,1.0,t +22165,,Russian Federation,3.0,t +10223,,United Kingdom,1.0,f +40721,,El Salvador,1.0,f +26434,100%,Tonga,1.0,f +32567,,France,1.0,f +44091,100%,Chile,2.0,f +8582,0%,,1.0,t +46249,,Lebanon,2.0,t +6513,,El Salvador,1.0,f +23721,,,1.0,f +34554,,,1.0,t +24109,,Afghanistan,1.0,t +24699,80%,Barbados,2.0,t +13851,,Chad,1.0,t +31122,,El Salvador,1.0,t +35687,,Djibouti,1.0,t +8925,,Malawi,1.0,f +5581,100%,Rwanda,1.0,f +937,100%,French Guiana,3.0,f +42271,,Jersey,1.0,f +35301,90%,Micronesia,2.0,t +937,100%,French Guiana,3.0,f +17543,90%,,4.0,f +24770,,,1.0,f +35700,75%,Turks and Caicos Islands,1.0,f +41557,100%,Niger,2.0,f +17599,50%,Somalia,1.0,t +22362,,,1.0,f +30517,100%,,1.0,t +43128,100%,Anguilla,1.0,t +14454,,Guernsey,2.0,f +23658,,Zimbabwe,1.0,f +23564,,Turks and Caicos Islands,1.0,f +21447,,Lebanon,1.0,f +29963,,France,1.0,f +36511,100%,Fiji,1.0,f +35110,90%,Jersey,1.0,t +34589,100%,Togo,1.0,f +7601,,Kenya,1.0,f +12002,100%,Monaco,1.0,f +42728,,Malta,1.0,f +18369,100%,,1.0,f +47093,,Marshall Islands,1.0,f +42936,,Canada,1.0,t +3334,,Indonesia,2.0,t +44199,100%,Chad,1.0,t +39653,,Russian Federation,1.0,f +9357,100%,,1.0,f +10812,50%,,1.0,t +31140,100%,,1.0,t +23033,100%,,1.0,t +44295,100%,Djibouti,1.0,f +25881,,China,2.0,f +21703,91%,Palestinian Territory,1.0,t +31821,100%,Lithuania,1.0,t +38874,,Mexico,1.0,f +35678,,Gambia,1.0,t +6998,80%,Malawi,2.0,t +27019,100%,Gambia,1.0,f +41766,,Tonga,1.0,f +46287,,,1.0,t +17526,,,1.0,f +5928,,Niue,6.0,t +34528,,France,1.0,f +34032,,,1.0,f +40777,100%,,1.0,f +13669,100%,Philippines,1.0,t +2023,,Russian Federation,1.0,t +14339,99%,Jersey,5.0,f +34812,,Estonia,1.0,t +21903,,Mauritania,1.0,t +29389,100%,,1.0,f +48581,,Montserrat,8.0,t +22523,100%,Rwanda,9.0,f +4133,90%,Maldives,6.0,f +3303,,Nauru,2.0,f +37810,,,2.0,f +27371,100%,Costa Rica,1.0,f +6903,75%,,2.0,t +11557,,,1.0,t +5057,100%,Zimbabwe,23.0,t +5057,100%,Zimbabwe,23.0,t +33916,100%,Svalbard & Jan Mayen Islands,3.0,f +4324,0%,Gibraltar,2.0,f +5256,,,1.0,f +36922,,,2.0,f +22658,,,1.0,f +16766,100%,,1.0,t +36867,100%,Tanzania,1.0,f +46842,75%,Portugal,13.0,t +37406,100%,Greenland,2.0,f +12124,,Brazil,2.0,f +44104,,Nicaragua,1.0,f +17793,,Gambia,1.0,f +42636,60%,,1.0,f +18818,100%,,2.0,f +18422,75%,Kenya,1.0,f +39097,,,1.0,f +24495,,Reunion,2.0,t +42848,,Micronesia,1.0,f +33112,,Senegal,1.0,f +5054,100%,China,4.0,t +44675,,Monaco,1.0,t +11458,100%,Canada,1.0,f +22721,100%,Ecuador,109.0,f +44039,,Faroe Islands,1.0,f +2826,50%,Croatia,2.0,t +18563,,Jersey,1.0,t +42777,,,1.0,f +7023,,United Kingdom,1.0,f +44934,100%,Philippines,17.0,f +43758,80%,Niue,2.0,t +48211,100%,,1.0,f +21314,,,1.0,f +4322,97%,Tonga,32.0,f +41429,,Malta,2.0,t +34513,93%,Ecuador,2.0,t +16113,100%,Croatia,2.0,t +30475,92%,Vietnam,40.0,f +19034,,Monaco,1.0,t +7569,100%,Ecuador,1.0,f +29392,100%,Guinea,1.0,f +33802,90%,Gambia,1.0,f +7466,,Fiji,1.0,f +16113,100%,Croatia,2.0,t +490,100%,Bosnia and Herzegovina,6.0,f +44525,,Niue,1.0,t +19280,,,1.0,t +31175,,Mauritania,1.0,f +35087,,,1.0,f +48768,,,2.0,t +24448,100%,Venezuela,1.0,f +35388,100%,Isle of Man,2.0,t +31428,,Micronesia,3.0,f +15004,100%,Uzbekistan,88.0,f +36886,,,1.0,f +15004,100%,Uzbekistan,88.0,f +30158,100%,,1.0,f +18020,,Guinea,1.0,f +34680,75%,Zimbabwe,1.0,t +26509,100%,Russian Federation,1.0,f +41001,,,1.0,f +17327,,Russian Federation,2.0,f +36115,100%,Afghanistan,3.0,f +20921,,Bosnia and Herzegovina,1.0,f +3596,100%,Marshall Islands,6.0,t +40761,,Malawi,1.0,f +44843,,Croatia,1.0,t +49825,100%,Pakistan,7.0,t +38086,100%,United Kingdom,2.0,f +12145,100%,Marshall Islands,1.0,f +37659,,Uganda,1.0,f +25881,,China,2.0,f +48088,,Gambia,1.0,f +1174,,,1.0,t +10603,100%,,1.0,f +6138,,,1.0,f +10310,100%,Togo,2.0,f +21812,,,1.0,f +19527,,Croatia,1.0,t +25043,,,1.0,f +46677,,El Salvador,1.0,f +6155,100%,Guinea,2.0,t +41938,100%,Malta,3.0,f +34828,100%,,1.0,t +22716,,Jersey,1.0,f +43550,100%,Rwanda,16.0,t +24024,80%,,3.0,f +28828,100%,Isle of Man,198.0,t +28828,100%,Isle of Man,198.0,t +10345,100%,,2.0,f +17368,,,1.0,f +6401,,Chile,1.0,t +38737,,Uzbekistan,2.0,t +11230,,Guinea,2.0,t +1577,100%,Peru,8.0,t +27334,100%,China,16.0,f +17464,,Philippines,8.0,t +20334,99%,Niger,171.0,t +18746,,Guinea,1.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +31417,100%,,1.0,f +18459,100%,Zimbabwe,100.0,f +29276,,,1.0,t +1799,100%,,1.0,t +18459,100%,Zimbabwe,100.0,f +48935,,,1.0,f +22531,,Cape Verde,1.0,f +18459,100%,Zimbabwe,100.0,f +10780,,French Guiana,1.0,f +41629,,,1.0,t +4346,,China,2.0,t +837,100%,,2.0,t +5928,,Niue,6.0,t +31237,,French Guiana,1.0,t +4324,0%,Gibraltar,2.0,f +47428,,,1.0,f +40225,100%,Uganda,3.0,t +29459,,Maldives,1.0,f +31707,100%,Niger,48.0,f +29846,100%,Maldives,7.0,f +8237,,Guinea,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +32421,,Uzbekistan,1.0,f +31707,100%,Niger,48.0,f +33604,90%,Marshall Islands,8.0,t +8179,100%,,1.0,f +24026,98%,Cape Verde,69.0,t +17549,,Jersey,1.0,f +39519,,,2.0,t +32656,,Kenya,5.0,f +233,100%,Afghanistan,1.0,f +10138,,,1.0,f +32656,,Kenya,5.0,f +44768,,,1.0,f +18459,100%,Zimbabwe,100.0,f +32905,,,1.0,f +39180,90%,Pakistan,2.0,f +36764,,,1.0,f +31959,,Rwanda,4.0,f +9131,100%,Gambia,5.0,f +37262,,United Kingdom,2.0,f +7915,,,1.0,f +41232,100%,,3.0,f +18459,100%,Zimbabwe,100.0,f +35054,,Finland,3.0,t +49311,,,1.0,t +9488,,Rwanda,1.0,t +7856,90%,Anguilla,2.0,t +43326,,,1.0,f +16457,,Saint Lucia,4.0,t +11610,,Brazil,1.0,f +13491,,Sao Tome and Principe,2.0,t +48849,,Denmark,1.0,f +37262,,United Kingdom,2.0,f +9053,100%,Gibraltar,1.0,t +40151,,Reunion,1.0,f +39314,,Zimbabwe,1.0,f +10410,,Bouvet Island (Bouvetoya),1.0,f +10286,,,2.0,f +8087,67%,,1.0,t +34852,,Niue,10.0,t +28059,100%,Estonia,1.0,f +27812,33%,Cape Verde,1.0,f +2427,,,1.0,f +26093,,Nicaragua,1.0,f +36922,,,2.0,f +14903,67%,Venezuela,1.0,f +30708,100%,Australia,5.0,f +32555,50%,Anguilla,2.0,t +28385,,Vanuatu,1.0,f +1737,100%,Finland,3.0,f +26148,100%,Kiribati,10.0,t +42820,100%,Gibraltar,6.0,f +47283,,Ghana,4.0,t +36457,100%,Rwanda,4.0,f +21124,,Estonia,2.0,t +19291,,Maldives,1.0,t +30583,,,1.0,f +29997,100%,Kiribati,1.0,f +1724,,Sao Tome and Principe,1.0,f +35185,100%,Lebanon,2.0,t +262,97%,Maldives,16.0,t +15949,100%,Svalbard & Jan Mayen Islands,3.0,t +10239,63%,Reunion,1.0,t +48669,100%,Malawi,1.0,f +2434,,,1.0,t +24991,100%,Indonesia,14.0,f +1046,,Gambia,1.0,f +262,97%,Maldives,16.0,t +33677,,Russian Federation,1.0,f +24476,,,1.0,f +22077,100%,Mauritania,10.0,f +262,97%,Maldives,16.0,t +40738,,Malta,1.0,f +39646,,Brazil,2.0,t +23015,,Gambia,2.0,f +1398,,,1.0,f +24377,,Uzbekistan,1.0,f +46550,,China,1.0,f +262,97%,Maldives,16.0,t +19000,,Guinea,1.0,t +29647,100%,Peru,1305.0,f +29846,100%,Maldives,7.0,f +26608,,Guinea,1.0,t +29846,100%,Maldives,7.0,f +31202,90%,Kiribati,107.0,f +6504,,Guinea,1.0,f +18459,100%,Zimbabwe,100.0,f +32088,80%,Afghanistan,1.0,f +10450,70%,Cape Verde,4.0,t +8957,,Guinea,2.0,t +7054,100%,,1.0,f +766,100%,Cape Verde,2.0,f +29647,100%,Peru,1305.0,f +10711,93%,Uganda,108.0,t +17464,,Philippines,8.0,t +10383,,Jersey,1.0,f +34075,,,1.0,f +49319,,Niue,1.0,f +6608,95%,Russian Federation,3.0,t +12985,86%,Chad,2.0,f +18423,,Anguilla,1.0,f +43061,,Russian Federation,1.0,t +1038,,Maldives,5.0,f +32277,,Russian Federation,2.0,t +30131,100%,Svalbard & Jan Mayen Islands,1.0,t +48730,,Bosnia and Herzegovina,1.0,f +8397,100%,Faroe Islands,1.0,t +19659,,Turkmenistan,1.0,f +26144,,Russian Federation,1.0,t +36199,,France,1.0,t +26148,100%,Kiribati,10.0,t +17298,97%,Barbados,7.0,f +30321,,,1.0,f +7702,70%,Russian Federation,3.0,t +2975,,Faroe Islands,1.0,f +36670,,,2.0,f +27143,,,1.0,f +504,,Denmark,1.0,f +34007,100%,Kenya,2.0,f +11804,100%,Gambia,1.0,f +17781,100%,Uzbekistan,2.0,t +45496,40%,Niue,6.0,f +20439,,,5.0,f +1105,100%,Uganda,1.0,f +4748,,Niger,1.0,f +8796,100%,Somalia,3.0,t +47361,100%,Barbados,10.0,f +6892,100%,,1.0,f +17998,,,1.0,f +7998,100%,Jersey,1.0,f +47361,100%,Barbados,10.0,f +42660,,Chad,1.0,t +22226,100%,Tunisia,1.0,f +10765,,Monaco,3.0,f +26430,100%,,1.0,f +13191,,Marshall Islands,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +14497,100%,,1.0,f +35673,,Zimbabwe,1.0,f +21149,,,1.0,t +10711,93%,Uganda,108.0,t +47679,,Svalbard & Jan Mayen Islands,1.0,t +13348,,Russian Federation,1.0,f +8129,100%,Rwanda,5.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +3790,100%,Netherlands,16.0,f +41894,,Mauritania,1.0,f +16089,83%,Maldives,5.0,f +20425,75%,Niue,1.0,t +3296,,Vanuatu,1.0,f +10751,,,3.0,t +42308,100%,,1.0,f +20387,100%,Malta,12.0,t +36021,,Bouvet Island (Bouvetoya),1.0,t +29647,100%,Peru,1305.0,f +12074,,Mauritania,1.0,f +39617,100%,Zimbabwe,1.0,f +18979,100%,Tonga,6.0,t +30026,100%,,2.0,f +14116,100%,Russian Federation,2.0,t +35221,100%,Turks and Caicos Islands,30.0,t +10711,93%,Uganda,108.0,t +9772,100%,Marshall Islands,3.0,t +9131,100%,Gambia,5.0,f +16672,,,1.0,f +32896,100%,,1.0,f +1064,,Burkina Faso,2.0,t +3616,100%,Cape Verde,14.0,t +45869,100%,,1.0,t +13070,100%,Fiji,45.0,f +33750,,Sao Tome and Principe,1.0,f +30358,,Uruguay,1.0,t +27218,,Kenya,1.0,f +23890,,,1.0,f +9147,100%,,4.0,f +42669,,Sao Tome and Principe,2.0,f +17718,100%,Lebanon,2.0,f +1213,,,1.0,f +27825,100%,,2.0,t +25422,100%,Tanzania,1.0,f +42142,100%,Tonga,1.0,f +28163,100%,Sao Tome and Principe,5.0,t +38071,80%,Zimbabwe,4.0,f +44506,,Faroe Islands,1.0,f +45293,90%,,2.0,f +37392,100%,Micronesia,7.0,t +36311,,,2.0,f +28828,100%,Isle of Man,198.0,t +34856,,Maldives,2.0,f +5530,100%,,1.0,f +21427,100%,United Kingdom,8.0,t +14451,,,1.0,t +20542,80%,Kenya,7.0,t +14752,,Brazil,1.0,t +27026,,,1.0,t +32584,100%,Kiribati,5.0,f +3799,,French Guiana,1.0,t +38781,100%,,1.0,f +30840,,Philippines,1.0,f +45789,,Guernsey,1.0,f +42453,100%,Russian Federation,1.0,f +27852,100%,Djibouti,1.0,t +26120,,Turkmenistan,1.0,t +30475,92%,Vietnam,40.0,f +15004,100%,Uzbekistan,88.0,f +18706,,,1.0,f +38458,100%,Montserrat,6.0,t +15470,,,1.0,f +33539,,,3.0,f +38525,100%,,2.0,f +2383,,French Guiana,3.0,t +34294,100%,Ghana,4.0,f +41350,67%,,1.0,t +22529,90%,,2.0,f +29795,,Turkmenistan,1.0,f +25107,,Christmas Island,1.0,t +4256,,Lebanon,1.0,f +31104,100%,France,2.0,f +28716,,Svalbard & Jan Mayen Islands,1.0,f +11609,,Jersey,2.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +43001,,Bosnia and Herzegovina,1.0,f +41571,,,1.0,f +9048,100%,Congo,1.0,f +29123,100%,Zimbabwe,16.0,t +13590,100%,Indonesia,2.0,t +551,95%,Rwanda,17.0,f +27883,100%,Cuba,11.0,f +48988,100%,,1.0,t +19416,100%,Djibouti,1.0,t +15004,100%,Uzbekistan,88.0,f +27518,,Afghanistan,1.0,t +15004,100%,Uzbekistan,88.0,f +12381,,,1.0,f +15982,,Nicaragua,1.0,f +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +27678,,,1.0,t +6459,,,1.0,t +11519,,Philippines,1.0,f +14997,100%,Malta,1.0,f +26382,,,1.0,f +45956,100%,,1.0,f +10538,,Chile,1.0,f +35439,94%,United Kingdom,23.0,t +22943,,,1.0,t +45195,100%,,2.0,f +29224,,,2.0,t +11329,,Philippines,1.0,f +13683,100%,,1.0,f +11620,90%,Slovakia (Slovak Republic),1.0,f +33080,100%,,1.0,f +22529,90%,,2.0,f +1045,100%,Brazil,1.0,f +20353,100%,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +7013,100%,Vanuatu,1.0,f +18320,50%,Reunion,19.0,t +36450,100%,,1.0,f +43162,72%,China,7.0,f +12697,100%,Rwanda,1.0,f +12753,,Marshall Islands,1.0,f +28431,,,1.0,t +36553,,,2.0,f +2957,,Faroe Islands,1.0,f +32898,100%,Denmark,1.0,f +37981,,Montserrat,1.0,f +17362,,Chad,1.0,f +1494,,Lithuania,1.0,f +6619,57%,Lithuania,1.0,f +20753,100%,Lebanon,1.0,f +27101,,Vanuatu,1.0,f +33178,,Niue,1.0,t +33909,,Tonga,2.0,f +24777,100%,Papua New Guinea,1.0,t +35487,,Svalbard & Jan Mayen Islands,1.0,f +3228,,French Polynesia,1.0,t +1279,100%,,5.0,f +23812,,,2.0,t +46680,100%,,2.0,t +5395,,,1.0,f +9787,100%,Kiribati,2.0,f +8591,100%,,1.0,f +38093,,Lebanon,3.0,f +18564,,,1.0,f +28828,100%,Isle of Man,198.0,t +28828,100%,Isle of Man,198.0,t +36356,100%,Cape Verde,1.0,f +48924,,Papua New Guinea,4.0,f +1038,,Maldives,5.0,f +1478,,Turkmenistan,1.0,f +13606,100%,,4.0,f +21538,,,1.0,f +14417,,,1.0,t +31438,100%,Nicaragua,5.0,t +27754,100%,French Guiana,2.0,t +3525,,,1.0,f +32000,80%,Niue,1.0,f +25223,,Mauritania,1.0,f +43118,100%,,2.0,f +3883,,,1.0,f +30176,,Sao Tome and Principe,2.0,t +3981,100%,,2.0,f +36126,100%,Indonesia,2.0,f +39099,,,1.0,f +22453,,Malta,1.0,f +29163,100%,Nicaragua,1.0,f +35463,71%,Djibouti,1.0,f +9260,60%,,1.0,t +21871,,Kenya,2.0,f +27557,100%,,5.0,t +6380,100%,Turkmenistan,1.0,f +40311,,,1.0,f +47849,100%,,1.0,f +38093,,Lebanon,3.0,f +39910,100%,French Guiana,1.0,f +13284,,Latvia,2.0,f +29599,,,1.0,t +39153,100%,,3.0,f +39083,100%,Kenya,3.0,f +46528,100%,Uzbekistan,3.0,t +15804,,Mauritania,1.0,t +6608,95%,Russian Federation,3.0,t +31339,,,3.0,t +42663,,,1.0,f +23896,100%,,1.0,f +35652,,Russian Federation,1.0,f +13431,100%,,1.0,f +33373,100%,,1.0,f +10414,,,1.0,f +29321,100%,Uzbekistan,1.0,t +33554,,Micronesia,1.0,t +27414,,Marshall Islands,1.0,t +881,,Jersey,1.0,f +396,,Uganda,1.0,f +19643,,,2.0,f +1756,,Croatia,1.0,f +1596,,Lebanon,2.0,t +1596,,Lebanon,2.0,t +44258,100%,Jersey,3.0,t +47697,,Guinea,1.0,f +39086,88%,,2.0,f +38854,,Guernsey,1.0,f +4232,100%,Bouvet Island (Bouvetoya),3.0,t +6611,100%,,1.0,f +44073,100%,Togo,2.0,t +4322,97%,Tonga,32.0,f +11929,100%,Ecuador,1.0,t +24322,,Guernsey,1.0,t +40689,100%,Cuba,23.0,f +27902,,,2.0,f +39377,100%,Ukraine,11.0,t +37043,100%,Pakistan,11.0,f +543,,Gibraltar,1.0,f +27397,,Maldives,1.0,f +20107,,Russian Federation,1.0,f +12191,100%,Netherlands,1.0,f +37290,,Costa Rica,1.0,f +45056,100%,Chile,1.0,f +36747,,Cocos (Keeling) Islands,2.0,f +12970,,,1.0,t +15004,100%,Uzbekistan,88.0,f +29123,100%,Zimbabwe,16.0,t +35139,,Bosnia and Herzegovina,1.0,f +41304,100%,,3.0,f +40709,,Denmark,1.0,f +33328,,Chile,1.0,f +29647,100%,Peru,1305.0,f +32728,56%,Nicaragua,1.0,f +49271,,Russian Federation,1.0,t +15004,100%,Uzbekistan,88.0,f +25514,100%,,3.0,t +29647,100%,Peru,1305.0,f +36263,,,1.0,f +29647,100%,Peru,1305.0,f +49397,,Tonga,2.0,f +22553,100%,Wallis and Futuna,1.0,f +20334,99%,Niger,171.0,t +15183,,,1.0,f +24914,,,1.0,t +1233,50%,,1.0,f +40078,100%,Croatia,7.0,t +16812,100%,Afghanistan,1.0,f +47593,100%,,1.0,t +15004,100%,Uzbekistan,88.0,f +18888,70%,Uganda,1.0,f +41753,,Guinea,1.0,f +43016,100%,Gibraltar,1.0,f +21310,,,1.0,f +5368,100%,France,1.0,f +16093,100%,Indonesia,1.0,f +4591,25%,,1.0,f +25010,,,2.0,f +28828,100%,Isle of Man,198.0,t +40689,100%,Cuba,23.0,f +22569,100%,,2.0,t +43776,100%,,1.0,f +31918,,Nicaragua,1.0,f +4606,,Cocos (Keeling) Islands,1.0,f +4608,100%,Gambia,2.0,t +33884,,Lebanon,1.0,f +24808,,Cambodia,3.0,t +29218,,Marshall Islands,1.0,f +10899,,,1.0,f +42488,86%,,1.0,t +22565,90%,Guinea,2.0,t +44707,,Mauritania,1.0,f +17171,100%,,1.0,f +8949,100%,Isle of Man,4.0,f +6219,100%,Tonga,1.0,t +38339,100%,Venezuela,2.0,f +23905,,Maldives,1.0,t +29936,,Niue,3.0,t +15097,,,1.0,t +7702,70%,Russian Federation,3.0,t +25572,,,1.0,f +6807,100%,Mexico,9.0,f +31961,,Vanuatu,1.0,f +3568,,Greenland,1.0,f +44915,,,1.0,f +12650,,Guinea,1.0,t +45653,100%,Christmas Island,1.0,f +3119,,,1.0,f +35028,,Chad,1.0,f +23767,100%,Puerto Rico,2.0,t +20576,50%,Russian Federation,2.0,t +34699,,,1.0,f +46885,,,1.0,f +6327,,Guinea,2.0,t +6245,100%,Zimbabwe,1.0,t +10490,100%,Sao Tome and Principe,4.0,f +36873,,,1.0,f +34652,,Guinea,2.0,f +42090,100%,Tonga,1.0,f +37749,100%,Zimbabwe,1.0,f +33880,84%,Barbados,18.0,f +46775,100%,Nauru,2.0,f +5420,100%,Tonga,41.0,f +12160,,Mauritania,1.0,t +37936,,,1.0,f +40732,100%,Slovakia (Slovak Republic),1.0,f +35251,,,1.0,f +23269,,,1.0,t +13200,,China,2.0,f +43949,,Montserrat,1.0,f +37186,,Russian Federation,3.0,f +39201,100%,Holy See (Vatican City State),2.0,t +20905,,Russian Federation,1.0,f +19266,100%,Isle of Man,2.0,t +46930,100%,Turks and Caicos Islands,1.0,f +9100,,Gibraltar,1.0,t +22560,,Uzbekistan,1.0,f +32700,80%,,2.0,f +14355,,Isle of Man,1.0,f +33065,100%,Uzbekistan,6.0,f +18164,100%,Marshall Islands,5.0,f +37212,100%,Russian Federation,1.0,f +44725,100%,Slovakia (Slovak Republic),4.0,t +40861,100%,Barbados,1.0,t +43816,100%,Brazil,1.0,f +44635,,Barbados,2.0,t +12715,100%,Estonia,29.0,f +4745,100%,Croatia,119.0,f +35263,80%,Denmark,1.0,f +32741,100%,Isle of Man,3.0,f +34515,,China,2.0,t +20806,100%,Afghanistan,1.0,t +22783,,Estonia,1.0,f +49554,67%,,1.0,f +31110,,,1.0,f +48062,100%,Isle of Man,1.0,f +39336,100%,Nauru,1.0,f +4745,100%,Croatia,119.0,f +20334,99%,Niger,171.0,t +13322,50%,Anguilla,2.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +38652,100%,Uzbekistan,9.0,f +1577,100%,Peru,8.0,t +49423,,,1.0,f +28372,100%,Indonesia,12.0,f +22322,100%,Micronesia,2.0,f +23034,99%,Monaco,54.0,f +17659,,Croatia,1.0,f +19470,,Turkmenistan,1.0,t +25010,,,2.0,f +28372,100%,Indonesia,12.0,f +28932,,,1.0,f +5393,100%,Denmark,1.0,f +31746,80%,Brazil,2.0,t +46504,100%,Barbados,1.0,f +11255,93%,Suriname,41.0,f +13361,,Zimbabwe,1.0,f +44365,100%,Russian Federation,2.0,t +10535,,,1.0,f +2609,,Turkmenistan,1.0,f +42973,100%,,1.0,f +36260,100%,Papua New Guinea,1.0,f +23685,,Philippines,1.0,f +33482,,Tonga,1.0,t +3319,,Uzbekistan,1.0,f +42318,100%,,1.0,f +19384,100%,Cape Verde,4.0,f +18774,100%,Uzbekistan,4.0,f +31685,,Libyan Arab Jamahiriya,1.0,f +24120,,,1.0,t +12939,,,1.0,f +39370,,Marshall Islands,1.0,f +31500,,Niue,1.0,f +29442,100%,Marshall Islands,1.0,f +47260,,Maldives,1.0,f +36177,,,1.0,f +38646,70%,,2.0,t +35221,100%,Turks and Caicos Islands,30.0,t +38045,97%,Uzbekistan,7.0,f +44258,100%,Jersey,3.0,t +42377,100%,Marshall Islands,2.0,f +2952,,Vanuatu,1.0,f +28372,100%,Indonesia,12.0,f +28372,100%,Indonesia,12.0,f +35265,,,1.0,t +28372,100%,Indonesia,12.0,f +44592,,Micronesia,1.0,f +17817,100%,Croatia,13.0,t +15553,100%,Russian Federation,2.0,t +21542,100%,Sao Tome and Principe,1.0,f +20019,,,1.0,f +7423,,,1.0,t +41761,100%,,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +23290,,,1.0,f +24896,100%,Algeria,50.0,t +49434,0%,Estonia,1.0,t +11393,,Tanzania,1.0,f +24071,100%,Indonesia,22.0,f +14604,,Korea,1.0,f +45194,100%,,1.0,f +21125,100%,Tonga,2.0,f +4745,100%,Croatia,119.0,f +32965,100%,Rwanda,1.0,f +30086,,Malta,1.0,t +5839,100%,,1.0,f +4745,100%,Croatia,119.0,f +40781,100%,Guinea,5.0,f +37571,75%,Monaco,1.0,f +4745,100%,Croatia,119.0,f +31188,,Afghanistan,1.0,f +17103,,Somalia,1.0,f +4745,100%,Croatia,119.0,f +7737,,,1.0,f +47234,100%,,2.0,f +17817,100%,Croatia,13.0,t +1986,100%,Brazil,1.0,f +22176,,,1.0,t +19503,,Cocos (Keeling) Islands,1.0,t +3591,80%,Isle of Man,1.0,f +17817,100%,Croatia,13.0,t +31081,,,2.0,f +38216,,Isle of Man,1.0,f +18355,,Bouvet Island (Bouvetoya),1.0,f +17615,,Kiribati,1.0,f +10672,86%,Mauritania,3.0,t +12431,100%,,1.0,f +17817,100%,Croatia,13.0,t +15547,,Gambia,1.0,f +3717,,Niue,1.0,f +32559,,Anguilla,1.0,f +22172,100%,Marshall Islands,2.0,f +29647,100%,Peru,1305.0,f +45841,,Gambia,1.0,f +42168,,,1.0,f +27634,,,1.0,f +27421,,,1.0,f +19665,,Bahrain,1.0,t +8089,,,1.0,f +39935,,,2.0,t +41101,,Gibraltar,1.0,f +19893,100%,Croatia,1.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +49944,,Chile,1.0,f +30839,,El Salvador,1.0,f +32752,,Anguilla,1.0,f +29435,,Turkmenistan,2.0,t +2339,100%,Marshall Islands,3.0,t +19944,100%,Kiribati,12.0,f +3671,100%,Isle of Man,1.0,f +8715,100%,Uganda,2.0,f +43134,100%,Suriname,6.0,f +32386,97%,Indonesia,19.0,f +43134,100%,Suriname,6.0,f +6894,80%,Estonia,47.0,t +38910,,Gibraltar,1.0,f +20845,,,1.0,t +40553,,,1.0,f +41055,,,1.0,f +16827,100%,,1.0,t +9137,100%,Maldives,1.0,f +43976,80%,Ecuador,2.0,t +23022,67%,Niue,10.0,t +29626,,,1.0,f +44966,100%,Guinea,21.0,f +41319,100%,Sao Tome and Principe,5.0,f +11255,93%,Suriname,41.0,f +42668,100%,,1.0,f +42631,,Micronesia,2.0,f +836,,Russian Federation,1.0,t +39092,,,1.0,f +9802,,Indonesia,38.0,t +37896,,Guinea,1.0,f +47274,100%,Tonga,48.0,f +49305,,Russian Federation,1.0,t +14012,83%,Denmark,1.0,f +24974,,Niger,7.0,f +7234,,Andorra,1.0,t +39734,,Gambia,2.0,f +43629,70%,Malawi,3.0,f +34281,100%,,2.0,t +10503,,Andorra,1.0,f +3661,,Anguilla,1.0,f +40558,100%,,2.0,f +9802,,Indonesia,38.0,t +826,95%,Wallis and Futuna,2.0,f +22331,99%,Rwanda,50.0,t +17958,,Lebanon,1.0,t +26652,97%,Pakistan,6.0,f +22331,99%,Rwanda,50.0,t +38787,,Faroe Islands,10.0,f +7625,,,1.0,f +34600,,Micronesia,1.0,f +35926,,Kenya,1.0,f +41103,,Lithuania,2.0,f +18162,75%,Sao Tome and Principe,2.0,f +26234,,,1.0,t +48599,100%,Malawi,3.0,f +33488,,Kenya,1.0,f +13261,100%,Bosnia and Herzegovina,2.0,t +7187,90%,Lebanon,2.0,f +3216,100%,Sao Tome and Principe,3.0,f +22755,,,8.0,t +26906,100%,,1.0,f +42827,100%,Nicaragua,3.0,t +17018,,Lebanon,1.0,t +28828,100%,Isle of Man,198.0,t +42764,100%,Guernsey,13.0,t +39665,44%,Jersey,1.0,t +29647,100%,Peru,1305.0,f +40253,,Sao Tome and Principe,1.0,f +29647,100%,Peru,1305.0,f +36553,,,2.0,f +21688,,,1.0,t +2744,,Gibraltar,5.0,f +48845,,Mauritania,1.0,f +6162,90%,Isle of Man,2.0,t +28719,100%,Russian Federation,4.0,t +28273,100%,,2.0,f +3969,0%,,2.0,f +37530,,Niue,1.0,t +39087,90%,,1.0,t +6891,,,1.0,f +24045,,Ghana,1.0,f +33164,60%,Togo,6.0,f +6455,,,1.0,t +41741,100%,Brazil,9.0,t +25743,,Niue,1.0,f +8536,,Isle of Man,1.0,f +46323,,Niger,3.0,f +37146,,,2.0,f +23327,100%,Uzbekistan,4.0,t +228,67%,,2.0,t +31836,100%,Zimbabwe,1.0,f +20776,,Micronesia,1.0,f +19719,100%,Gibraltar,1.0,f +22523,100%,Rwanda,9.0,f +28057,,Cuba,1.0,f +13982,100%,,2.0,f +27827,100%,,3.0,f +2011,,,1.0,f +4322,97%,Tonga,32.0,f +16965,100%,Zimbabwe,1.0,f +23506,,,1.0,t +15004,100%,Uzbekistan,88.0,f +46116,90%,,1.0,f +9802,,Indonesia,38.0,t +5271,,,1.0,f +36373,100%,Isle of Man,3.0,f +13566,,Marshall Islands,1.0,f +41319,100%,Sao Tome and Principe,5.0,f +37614,,,2.0,t +29647,100%,Peru,1305.0,f +9802,,Indonesia,38.0,t +29647,100%,Peru,1305.0,f +49983,0%,,1.0,f +9802,,Indonesia,38.0,t +6755,100%,Barbados,2.0,f +39459,,,1.0,f +29647,100%,Peru,1305.0,f +47046,100%,Lebanon,9.0,f +6755,100%,Barbados,2.0,f +29647,100%,Peru,1305.0,f +11670,,Chile,1.0,t +49930,50%,Finland,2.0,t +29647,100%,Peru,1305.0,f +42650,,,1.0,t +1565,,,1.0,t +20471,0%,Russian Federation,1.0,f +5186,,Guinea,1.0,f +40703,0%,Papua New Guinea,1.0,f +12157,90%,,3.0,f +4745,100%,Croatia,119.0,f +28828,100%,Isle of Man,198.0,t +32556,90%,Estonia,11.0,t +4745,100%,Croatia,119.0,f +15004,100%,Uzbekistan,88.0,f +30265,,United Kingdom,2.0,t +34194,100%,,7.0,t +24974,,Niger,7.0,f +26399,,Marshall Islands,1.0,f +28828,100%,Isle of Man,198.0,t +4745,100%,Croatia,119.0,f +1564,100%,Indonesia,12.0,f +31266,75%,Nauru,2.0,t +37704,96%,Fiji,26.0,f +46569,,,1.0,f +41598,,Croatia,1.0,f +19635,,El Salvador,3.0,t +36084,,Mauritania,1.0,t +1912,100%,Monaco,1.0,t +17965,100%,Mauritania,6.0,f +23969,100%,Uzbekistan,4.0,f +38295,,,1.0,f +10695,100%,,2.0,f +46924,100%,France,1.0,t +29794,,,1.0,f +43010,,,2.0,f +23969,100%,Uzbekistan,4.0,f +9192,,Tunisia,1.0,t +1737,100%,Finland,3.0,f +30413,,,1.0,f +20720,100%,,4.0,f +35452,,Russian Federation,1.0,t +15607,,Guinea,1.0,t +16246,,Russian Federation,1.0,f +8007,,Puerto Rico,1.0,f +49397,,Tonga,2.0,f +48555,100%,Jersey,1.0,t +36672,,,1.0,f +35823,,Montserrat,1.0,t +34902,,Kenya,1.0,t +26889,100%,Indonesia,10.0,f +45607,,Gibraltar,1.0,t +25749,,Papua New Guinea,1.0,f +43800,100%,Maldives,5.0,t +33890,,Kiribati,2.0,t +7577,,Puerto Rico,1.0,f +8290,,,2.0,f +15004,100%,Uzbekistan,88.0,f +40126,,,1.0,f +24196,100%,Somalia,1.0,f +13307,0%,,1.0,f +14038,,,1.0,f +19632,,Lebanon,1.0,t +29125,,Isle of Man,1.0,f +15004,100%,Uzbekistan,88.0,f +47662,,Isle of Man,3.0,t +17543,90%,,4.0,f +23487,,,1.0,f +651,100%,Lebanon,4.0,t +21527,100%,Malta,1.0,t +25204,,Netherlands,1.0,f +47684,,,1.0,f +45737,,Tonga,29.0,t +18320,50%,Reunion,19.0,t +23529,100%,Niue,1.0,f +20867,100%,Guinea,4.0,t +16199,,Zimbabwe,1.0,f +45158,100%,Switzerland,1.0,f +44595,,Nicaragua,1.0,f +41521,,Monaco,1.0,f +36414,100%,Bosnia and Herzegovina,1.0,f +29435,,Turkmenistan,2.0,t +6102,100%,Uzbekistan,1.0,f +23706,,Estonia,1.0,f +4544,,Reunion,1.0,t +8439,97%,Rwanda,17.0,t +37157,,,1.0,f +38639,,,1.0,f +27660,,,1.0,f +5742,67%,Andorra,1.0,f +35999,100%,Mauritania,3.0,t +48653,100%,Bouvet Island (Bouvetoya),4.0,f +26939,100%,Philippines,6.0,f +7036,100%,Jersey,4.0,f +39463,100%,Tunisia,2.0,f +46868,,,1.0,f +23880,,,1.0,f +11684,100%,Isle of Man,3.0,f +19739,100%,Holy See (Vatican City State),1.0,t +38595,,El Salvador,1.0,t +7837,,Svalbard & Jan Mayen Islands,1.0,f +22878,100%,Kiribati,1.0,f +20729,,,1.0,f +15916,,Afghanistan,1.0,f +10672,86%,Mauritania,3.0,t +8158,,Maldives,1.0,t +40301,100%,Zimbabwe,1.0,f +35655,100%,Niue,1.0,f +7036,100%,Jersey,4.0,f +49303,100%,,1.0,t +15004,100%,Uzbekistan,88.0,f +21232,90%,Kiribati,2.0,t +19980,100%,Tonga,1.0,t +23236,,Sao Tome and Principe,1.0,f +26147,,Sao Tome and Principe,3.0,f +5041,100%,Chile,7.0,f +1179,100%,Netherlands,2.0,f +45189,,Ecuador,1.0,t +34937,100%,Malawi,2.0,t +19660,,,1.0,f +17429,,,1.0,f +17585,100%,,1.0,f +33499,,Costa Rica,1.0,t +19198,,,1.0,t +8336,100%,Uzbekistan,1.0,f +32363,100%,Gambia,1.0,t +147,,,1.0,f +42298,,Guinea,1.0,f +18404,100%,Mauritania,1.0,f +10686,86%,Tonga,21.0,f +9211,,,2.0,t +23183,80%,Marshall Islands,1.0,t +42688,,China,1.0,f +45874,,,2.0,f +7200,100%,Gambia,2.0,t +33963,,French Guiana,1.0,t +20760,,French Guiana,1.0,f +25462,100%,Brazil,2.0,t +38116,,Malta,1.0,f +41076,70%,,2.0,f +15353,100%,,1.0,t +21738,,United Kingdom,1.0,t +35859,,Marshall Islands,1.0,t +41123,78%,Isle of Man,3.0,f +10358,,Micronesia,2.0,f +19701,,Uzbekistan,1.0,t +12707,75%,Malawi,2.0,t +29295,70%,Micronesia,1.0,f +1402,,Turkmenistan,2.0,f +2672,,United Kingdom,2.0,f +21813,,,1.0,f +39083,100%,Kenya,3.0,f +29582,,Turkmenistan,1.0,t +5057,100%,Zimbabwe,23.0,t +41650,100%,,1.0,f +27398,100%,Niue,1.0,f +41414,,,1.0,f +31512,,,1.0,f +5174,100%,Lithuania,2.0,f +30642,,Turks and Caicos Islands,1.0,f +48266,100%,Uganda,3.0,t +13403,96%,Maldives,21.0,t +6733,,,1.0,f +25078,,,1.0,f +47090,100%,Croatia,3.0,f +27704,,Mauritania,1.0,f +28305,,,4.0,f +18459,100%,Zimbabwe,100.0,f +34832,80%,Sao Tome and Principe,7.0,t +23829,,Uzbekistan,1.0,f +13403,96%,Maldives,21.0,t +35583,100%,Isle of Man,1.0,f +1224,,Lebanon,1.0,f +40028,,Bouvet Island (Bouvetoya),1.0,t +18484,100%,Gambia,108.0,f +28772,100%,Niger,15.0,t +31927,,Cocos (Keeling) Islands,1.0,f +43321,100%,France,40.0,f +28305,,,4.0,f +46785,,,1.0,f +20173,,Costa Rica,1.0,f +28640,100%,Uzbekistan,3.0,t +18793,,Nauru,1.0,f +15004,100%,Uzbekistan,88.0,f +7726,,Micronesia,1.0,f +28787,,,1.0,f +13283,100%,Russian Federation,1.0,t +1100,,,1.0,f +9802,,Indonesia,38.0,t +40662,75%,Malawi,3.0,t +28566,78%,Slovakia (Slovak Republic),79.0,t +15004,100%,Uzbekistan,88.0,f +19746,100%,Jersey,2.0,t +9802,,Indonesia,38.0,t +18896,,Congo,1.0,f +47257,,,1.0,f +461,100%,Saint Helena,4.0,f +9802,,Indonesia,38.0,t +36597,,Zimbabwe,1.0,t +461,100%,Saint Helena,4.0,f +24173,,,1.0,f +1121,100%,Micronesia,1.0,t +12627,,Canada,1.0,f +15004,100%,Uzbekistan,88.0,f +19258,,Isle of Man,1.0,f +45349,,Isle of Man,1.0,t +33341,88%,Uruguay,1.0,f +15004,100%,Uzbekistan,88.0,f +49517,100%,,1.0,f +254,,,1.0,f +35706,,Mauritania,1.0,f +34464,100%,,1.0,f +9649,100%,Togo,2.0,t +41953,,,1.0,f +12721,,,1.0,t +8284,100%,Micronesia,1.0,f +27251,100%,,1.0,f +28047,100%,Uzbekistan,4.0,f +23873,,Malta,1.0,f +29922,,Philippines,1.0,f +34336,100%,Pakistan,1.0,t +9140,,Lebanon,1.0,t +3346,,,2.0,t +17053,90%,Niue,2.0,t +13364,91%,Netherlands,21.0,f +46848,100%,,1.0,f +2996,,,1.0,t +34826,,French Guiana,1.0,f +7532,86%,Rwanda,1.0,f +13908,100%,Costa Rica,2.0,f +26137,,Estonia,2.0,f +20166,,Djibouti,1.0,f +5232,93%,,2.0,t +32429,,Gambia,9.0,f +44908,100%,Vanuatu,2.0,f +11706,100%,France,2.0,f +35532,,,1.0,f +24896,100%,Algeria,50.0,t +10321,100%,,1.0,f +15331,100%,Niger,1.0,f +1497,,Bosnia and Herzegovina,1.0,f +36100,100%,Rwanda,17.0,t +34689,,French Guiana,1.0,t +43933,100%,Guernsey,2.0,f +15718,,,1.0,f +47349,,Uzbekistan,1.0,t +26838,,Lebanon,1.0,t +24631,,,1.0,t +48351,,Malta,3.0,f +37806,100%,Russian Federation,3.0,t +4745,100%,Croatia,119.0,f +15004,100%,Uzbekistan,88.0,f +31932,100%,Andorra,1.0,f +49975,100%,Brazil,1.0,t +16406,100%,Bouvet Island (Bouvetoya),16.0,f +25878,,Niger,1.0,t +43152,100%,Nicaragua,82.0,t +23953,100%,,1.0,f +26210,,Lebanon,2.0,f +15004,100%,Uzbekistan,88.0,f +29647,100%,Peru,1305.0,f +16744,60%,Rwanda,5.0,f +4745,100%,Croatia,119.0,f +29647,100%,Peru,1305.0,f +37733,100%,,3.0,t +47567,,,1.0,f +9363,95%,Ukraine,50.0,f +3019,100%,Barbados,18.0,f +29647,100%,Peru,1305.0,f +49105,100%,Malta,3.0,f +44103,,,1.0,f +23627,100%,,1.0,t +4745,100%,Croatia,119.0,f +11322,100%,Malta,1.0,f +19216,,,2.0,f +23022,67%,Niue,10.0,t +4745,100%,Croatia,119.0,f +7520,100%,Ukraine,15.0,t +7520,100%,Ukraine,15.0,t +4745,100%,Croatia,119.0,f +5122,,El Salvador,1.0,f +31117,80%,Croatia,3.0,t +48455,89%,Uzbekistan,20.0,t +4745,100%,Croatia,119.0,f +1188,100%,Costa Rica,1.0,f +14466,,Netherlands,2.0,f +26863,,Mexico,7.0,f +40587,100%,Niue,2.0,t +41258,100%,,6.0,t +43120,,American Samoa,1.0,t +7074,100%,Isle of Man,2.0,f +31847,87%,Saint Helena,2.0,f +44258,100%,Jersey,3.0,t +15033,,,1.0,t +48076,,Kenya,2.0,t +13031,,Gambia,1.0,f +35526,100%,,2.0,f +11238,100%,Tanzania,1.0,f +16281,100%,Kiribati,1.0,f +22164,,Gambia,3.0,t +26528,,,1.0,f +19775,,Anguilla,1.0,f +45257,,,1.0,f +17768,,Chile,1.0,f +23055,91%,,2.0,f +36509,100%,,1.0,f +16065,,,1.0,f +48468,100%,Guinea,2.0,f +32265,,Turkmenistan,2.0,f +44052,100%,Denmark,4.0,f +2066,,Lebanon,1.0,t +26773,,Russian Federation,1.0,f +48659,,,1.0,f +2575,,,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +39201,100%,Holy See (Vatican City State),2.0,t +22221,,,1.0,f +15004,100%,Uzbekistan,88.0,f +19129,,Malta,5.0,t +49862,,Zimbabwe,1.0,f +39985,100%,Jersey,1.0,t +15004,100%,Uzbekistan,88.0,f +37787,100%,Barbados,5.0,f +17207,,Saint Helena,1.0,f +38199,,Guernsey,1.0,f +11818,,Guinea,1.0,f +29647,100%,Peru,1305.0,f +6235,80%,Niue,2.0,t +4745,100%,Croatia,119.0,f +13868,,,1.0,f +46108,,Monaco,1.0,f +29647,100%,Peru,1305.0,f +25400,100%,Denmark,2.0,f +7658,100%,Switzerland,2.0,f +42809,,Rwanda,1.0,t +24951,,,1.0,f +29647,100%,Peru,1305.0,f +35612,,,1.0,t +12159,,,1.0,f +32569,,French Guiana,1.0,f +29647,100%,Peru,1305.0,f +44579,,Slovenia,2.0,f +18862,100%,Maldives,1.0,f +28828,100%,Isle of Man,198.0,t +29647,100%,Peru,1305.0,f +11968,100%,,3.0,f +4745,100%,Croatia,119.0,f +44657,,,1.0,f +38950,,Russian Federation,2.0,t +5205,,Slovakia (Slovak Republic),6.0,t +25458,100%,Brazil,3.0,f +21063,,Niue,1.0,t +20832,,Kiribati,1.0,f +40966,,Montserrat,1.0,f +38816,,Croatia,1.0,f +13078,,,1.0,t +23034,99%,Monaco,54.0,f +4745,100%,Croatia,119.0,f +11973,100%,Niue,7.0,t +2726,,Gambia,1.0,t +4745,100%,Croatia,119.0,f +33880,84%,Barbados,18.0,f +4745,100%,Croatia,119.0,f +25115,,,1.0,t +4745,100%,Croatia,119.0,f +12819,,,1.0,f +33880,84%,Barbados,18.0,f +33880,84%,Barbados,18.0,f +33880,84%,Barbados,18.0,f +33880,84%,Barbados,18.0,f +36564,100%,Venezuela,5.0,t +3553,,,1.0,f +29123,100%,Zimbabwe,16.0,t +15004,100%,Uzbekistan,88.0,f +4792,100%,Jersey,4.0,t +1990,67%,,1.0,t +17729,,Turks and Caicos Islands,1.0,t +57,,,1.0,f +9536,,El Salvador,1.0,t +33507,100%,Sao Tome and Principe,2.0,f +39905,100%,Bosnia and Herzegovina,3.0,f +32265,,Turkmenistan,2.0,f +7344,20%,French Guiana,2.0,f +7212,100%,Niue,1.0,f +35748,100%,El Salvador,1.0,t +11421,,,1.0,f +39552,83%,Bahrain,4.0,t +1383,100%,,2.0,f +49145,100%,,3.0,t +28828,100%,Isle of Man,198.0,t +31085,,,1.0,f +29647,100%,Peru,1305.0,f +7036,100%,Jersey,4.0,f +29647,100%,Peru,1305.0,f +47083,100%,Cocos (Keeling) Islands,1.0,t +29647,100%,Peru,1305.0,f +30364,,Ukraine,1.0,t +5555,100%,Denmark,11.0,t +47036,,Russian Federation,1.0,t +36480,100%,Malta,2.0,f +12542,98%,Mauritania,19.0,t +29647,100%,Peru,1305.0,f +2291,100%,Zimbabwe,5.0,t +6701,,Barbados,1.0,f +41889,96%,Uzbekistan,14.0,t +34832,80%,Sao Tome and Principe,7.0,t +33771,,Uzbekistan,1.0,t +4251,100%,,1.0,f +21438,100%,China,3.0,f +31707,100%,Niger,48.0,f +7374,100%,,1.0,f +6587,100%,Somalia,1.0,f +29647,100%,Peru,1305.0,f +28933,,Chad,3.0,t +4745,100%,Croatia,119.0,f +10829,,,1.0,f +35377,100%,Anguilla,3.0,f +4745,100%,Croatia,119.0,f +909,100%,Croatia,18.0,t +31800,,Malta,1.0,f +44880,,United Kingdom,2.0,t +4745,100%,Croatia,119.0,f +16047,80%,Uzbekistan,6.0,f +18459,100%,Zimbabwe,100.0,f +4745,100%,Croatia,119.0,f +20059,,Lebanon,1.0,f +12224,,Bouvet Island (Bouvetoya),1.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +30443,,,1.0,f +20581,100%,Marshall Islands,2.0,t +15004,100%,Uzbekistan,88.0,f +18459,100%,Zimbabwe,100.0,f +24026,98%,Cape Verde,69.0,t +10685,100%,Guinea,3.0,f +45299,,Denmark,1.0,f +24974,,Niger,7.0,f +40364,100%,Tonga,25.0,f +15004,100%,Uzbekistan,88.0,f +19062,,Brazil,1.0,f +34811,100%,Montserrat,1.0,f +42242,,,1.0,f +15457,,Papua New Guinea,1.0,t +43882,,Turkmenistan,1.0,f +31952,,,1.0,f +30632,,,1.0,f +36200,,Brazil,1.0,f +19142,90%,Niger,9.0,f +35555,67%,,2.0,f +19142,90%,Niger,9.0,f +7834,94%,Mexico,13.0,f +5894,100%,Zimbabwe,1.0,f +50064,,Turkmenistan,1.0,f +10711,93%,Uganda,108.0,t +1427,,,1.0,f +30553,,United Kingdom,1.0,f +44583,100%,Anguilla,2.0,t +35145,,Bosnia and Herzegovina,1.0,f +16955,,Nauru,1.0,f +31208,,Rwanda,3.0,f +39127,,,1.0,f +28163,100%,Sao Tome and Principe,5.0,t +20653,,,1.0,t +1857,,,2.0,t +3690,,,2.0,t +37030,100%,,1.0,f +40462,100%,Rwanda,1.0,f +32495,100%,Tonga,9.0,f +46485,,,1.0,f +19589,100%,,3.0,f +43239,,Guinea,1.0,t +29433,,Somalia,2.0,f +329,,Bosnia and Herzegovina,2.0,f +17410,,,1.0,f +39892,100%,Tonga,31.0,t +25537,,,1.0,f +28828,100%,Isle of Man,198.0,t +16596,100%,Congo,3.0,f +4745,100%,Croatia,119.0,f +21916,,Marshall Islands,1.0,f +47282,,Micronesia,1.0,t +4745,100%,Croatia,119.0,f +12728,,Nicaragua,1.0,t +27883,100%,Cuba,11.0,f +32378,90%,China,6.0,t +4745,100%,Croatia,119.0,f +39696,100%,,1.0,f +23999,,,1.0,f +15050,,Switzerland,1.0,f +49003,,Rwanda,1.0,f +31218,100%,Saint Helena,1.0,f +13691,,Russian Federation,1.0,f +48468,100%,Guinea,2.0,f +7261,100%,French Guiana,1.0,t +4745,100%,Croatia,119.0,f +35558,,Maldives,1.0,t +49912,,China,1.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +13735,,China,1.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +15979,,Nicaragua,1.0,f +20582,100%,Kenya,1.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +30322,,,1.0,f +4745,100%,Croatia,119.0,f +49846,,French Guiana,1.0,f +7538,,,1.0,t +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +24864,75%,,1.0,f +4745,100%,Croatia,119.0,f +38576,,,1.0,f +47795,100%,Wallis and Futuna,4.0,f +20833,100%,Kiribati,2.0,f +20361,,,1.0,f +4745,100%,Croatia,119.0,f +12079,,,1.0,f +11590,,Denmark,1.0,t +33135,100%,Indonesia,3.0,t +33135,100%,Indonesia,3.0,t +980,,Djibouti,4.0,f +20519,,Maldives,1.0,f +44456,60%,,5.0,t +46232,100%,Finland,1.0,f +35442,,Russian Federation,14.0,f +28207,,,2.0,f +9547,,,1.0,f +10266,,Senegal,1.0,f +28828,100%,Isle of Man,198.0,t +42458,97%,Indonesia,14.0,t +10440,,Isle of Man,1.0,f +12425,,Guernsey,1.0,f +40593,,Nauru,10.0,t +26148,100%,Kiribati,10.0,t +49781,,Philippines,5.0,f +39083,100%,Kenya,3.0,f +4745,100%,Croatia,119.0,f +41788,100%,Turks and Caicos Islands,6.0,f +4745,100%,Croatia,119.0,f +20357,100%,,3.0,t +4745,100%,Croatia,119.0,f +8903,100%,,1.0,t +3534,,Cocos (Keeling) Islands,1.0,f +7562,,French Guiana,1.0,t +4745,100%,Croatia,119.0,f +41788,100%,Turks and Caicos Islands,6.0,f +22907,100%,Indonesia,1.0,f +21151,100%,Portugal,5.0,f +4745,100%,Croatia,119.0,f +7047,,Zimbabwe,1.0,t +6894,80%,Estonia,47.0,t +24937,100%,Tonga,1.0,f +9181,,,2.0,t +48217,75%,Wallis and Futuna,2.0,t +4745,100%,Croatia,119.0,f +8992,,,1.0,f +12072,,Bahrain,1.0,f +8975,100%,Ukraine,2.0,f +44895,100%,France,3.0,t +41601,81%,United Kingdom,5.0,f +4745,100%,Croatia,119.0,f +36017,,Barbados,1.0,t +46837,100%,,1.0,t +4718,0%,United Kingdom,1.0,t +1,,Anguilla,2.0,t +9181,,,2.0,t +9223,,,1.0,f +28548,,,1.0,f +24902,100%,Uganda,3.0,t +11464,100%,Papua New Guinea,11.0,f +48409,,Estonia,60.0,t +18636,100%,China,1.0,f +25822,67%,Niue,1.0,t +43385,100%,Guinea,1.0,t +13189,,,1.0,f +4745,100%,Croatia,119.0,f +36797,100%,,1.0,f +30651,100%,Marshall Islands,1.0,f +39839,100%,Cook Islands,3.0,t +40109,,,2.0,f +28336,100%,,1.0,f +9394,,Nicaragua,1.0,f +4745,100%,Croatia,119.0,f +8734,,Estonia,1.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +36351,,Wallis and Futuna,1.0,f +4745,100%,Croatia,119.0,f +38832,97%,,15.0,f +4745,100%,Croatia,119.0,f +8051,,Brunei Darussalam,1.0,t +4339,,Niger,2.0,t +5584,100%,Guinea,1.0,f +2543,,,1.0,f +11185,,Chile,1.0,f +24020,77%,Tonga,6.0,t +7749,,Chad,1.0,t +42932,75%,Faroe Islands,1.0,f +32515,,Zimbabwe,1.0,f +44023,,,1.0,f +36327,100%,Guinea,5.0,t +28146,,Vanuatu,1.0,t +42607,,Senegal,1.0,t +18204,,Christmas Island,2.0,t +21321,100%,,1.0,t +11198,,Afghanistan,2.0,f +21156,100%,Vanuatu,2.0,f +2343,100%,Chad,1.0,f +26610,100%,,1.0,t +32541,,,2.0,t +21278,,,1.0,f +41437,,,1.0,f +10127,,,1.0,t +31841,,Chile,1.0,f +30433,,,4.0,t +27667,33%,,2.0,f +43768,,,1.0,f +42430,,Kenya,1.0,f +41686,,Reunion,1.0,f +17869,100%,Reunion,5.0,t +39652,,France,1.0,f +6665,,Gambia,1.0,f +8232,,Tunisia,1.0,t +18691,,,1.0,f +28584,100%,Papua New Guinea,2.0,f +38653,,Estonia,1.0,f +40282,,Russian Federation,1.0,f +6794,100%,Bosnia and Herzegovina,2.0,t +31208,,Rwanda,3.0,f +13486,,,2.0,f +5697,100%,,1.0,t +48046,0%,Gambia,1.0,f +37642,,,1.0,f +28584,100%,Papua New Guinea,2.0,f +1919,,,4.0,f +29529,100%,Russian Federation,1.0,f +43983,,Turkmenistan,2.0,f +9663,,,1.0,t +4952,100%,,2.0,t +33405,,Tanzania,1.0,f +46426,,Guinea,2.0,f +46867,89%,Uruguay,2.0,t +26048,,Mauritania,1.0,f +26459,100%,Slovakia (Slovak Republic),4.0,t +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +1584,,Mauritania,1.0,f +46867,89%,Uruguay,2.0,t +22459,,,1.0,f +29798,,,1.0,f +23969,100%,Uzbekistan,4.0,f +48320,100%,,1.0,f +29412,,,2.0,t +24572,100%,Malta,3.0,t +40178,,Isle of Man,1.0,f +24572,100%,Malta,3.0,t +23034,99%,Monaco,54.0,f +10928,,Russian Federation,1.0,f +33005,,,1.0,f +47160,100%,Monaco,2.0,f +15883,,Costa Rica,1.0,f +3632,100%,Philippines,4.0,t +47994,100%,Netherlands,1.0,f +32292,,Kenya,2.0,f +1587,,Gambia,1.0,t +9452,,,1.0,f +16463,100%,Cape Verde,2.0,f +40147,,Marshall Islands,1.0,t +29647,100%,Peru,1305.0,f +21877,100%,Cook Islands,7.0,f +4745,100%,Croatia,119.0,f +41535,100%,Chile,1.0,f +4745,100%,Croatia,119.0,f +29647,100%,Peru,1305.0,f +36332,100%,Isle of Man,11.0,f +4745,100%,Croatia,119.0,f +18876,60%,Netherlands,26.0,f +29647,100%,Peru,1305.0,f +13070,100%,Fiji,45.0,f +1838,100%,Finland,1.0,t +2744,,Gibraltar,5.0,f +29647,100%,Peru,1305.0,f +31707,100%,Niger,48.0,f +22365,,Jersey,1.0,f +24034,,,1.0,f +5205,,Slovakia (Slovak Republic),6.0,t +29647,100%,Peru,1305.0,f +20257,,,1.0,f +18876,60%,Netherlands,26.0,f +12962,,Portugal,1.0,t +16757,,,1.0,t +4745,100%,Croatia,119.0,f +25398,100%,Marshall Islands,1.0,f +36833,,,1.0,f +35026,,Estonia,7.0,f +19121,,Russian Federation,1.0,f +4745,100%,Croatia,119.0,f +35377,100%,Anguilla,3.0,f +19715,,,1.0,f +6760,,Montserrat,1.0,f +44591,,,1.0,f +47440,,Cape Verde,1.0,f +18976,,Marshall Islands,1.0,f +39803,83%,,1.0,f +14049,,Svalbard & Jan Mayen Islands,1.0,t +46596,,Isle of Man,1.0,t +18439,,,1.0,t +10517,,,1.0,f +19217,98%,Marshall Islands,46.0,f +34985,,Chad,1.0,t +31703,,,1.0,f +39574,,Vietnam,1.0,t +257,100%,,1.0,t +23935,100%,,1.0,t +10183,100%,Chad,1.0,f +15153,,Fiji,1.0,t +37411,100%,Guernsey,3.0,f +31228,100%,,1.0,f +34692,,,1.0,t +7720,,Tonga,1.0,f +44514,,,1.0,t +1317,,Christmas Island,2.0,f +1647,,,1.0,f +29463,100%,Niue,1.0,t +28197,,,1.0,f +34203,100%,Uzbekistan,2.0,t +5420,100%,Tonga,41.0,f +10582,,,1.0,f +1802,,Svalbard & Jan Mayen Islands,1.0,f +34723,100%,Peru,12.0,f +9391,100%,Croatia,2.0,t +36421,100%,Lebanon,4.0,t +40362,,,1.0,f +4479,,Isle of Man,1.0,t +14187,90%,Ukraine,1.0,f +7876,100%,,4.0,t +35416,,Chile,1.0,t +6991,,,1.0,f +21556,,El Salvador,1.0,t +29647,100%,Peru,1305.0,f +1047,,Estonia,1.0,f +16391,,,1.0,f +9008,,,3.0,t +29647,100%,Peru,1305.0,f +23969,100%,Uzbekistan,4.0,f +5137,,Chad,2.0,t +21976,,Nauru,1.0,t +7819,,Chad,1.0,f +36133,,,1.0,t +35173,,Turkmenistan,1.0,t +29647,100%,Peru,1305.0,f +12918,100%,China,9.0,f +8784,,,1.0,f +41453,,France,1.0,t +16585,,,1.0,f +45556,,,1.0,f +15083,,French Polynesia,2.0,t +31206,,,3.0,f +16401,100%,Guinea,2.0,t +47981,100%,Pakistan,2.0,f +48604,,Brazil,1.0,t +43763,,Maldives,2.0,t +48982,,Portugal,1.0,f +20171,,China,1.0,f +45725,,Zimbabwe,1.0,f +2610,,,1.0,f +20692,100%,Marshall Islands,7.0,t +41145,,Saint Helena,1.0,f +10044,,Senegal,1.0,f +36747,,Cocos (Keeling) Islands,2.0,f +33048,,Montserrat,3.0,f +45440,,Niue,2.0,t +48230,,Denmark,1.0,t +19217,98%,Marshall Islands,46.0,f +34315,,Svalbard & Jan Mayen Islands,2.0,f +33154,0%,Monaco,1.0,f +9556,100%,,1.0,f +34785,100%,,2.0,f +9051,,,1.0,f +17933,100%,Isle of Man,1.0,f +9352,100%,,1.0,f +21540,,,1.0,f +43215,,Marshall Islands,1.0,f +5221,0%,Turks and Caicos Islands,1.0,f +1122,,Papua New Guinea,1.0,f +42764,100%,Guernsey,13.0,t +25048,100%,United Kingdom,1.0,f +22169,100%,,3.0,f +2291,100%,Zimbabwe,5.0,t +14431,,Zimbabwe,1.0,t +26306,,Niue,1.0,f +42170,,Montserrat,1.0,f +36135,,Costa Rica,2.0,t +43642,90%,Denmark,6.0,f +22169,100%,,3.0,f +17325,50%,,3.0,t +33681,,Ukraine,1.0,f +35857,100%,,1.0,f +12792,,Denmark,1.0,t +9647,,Philippines,1.0,f +23106,100%,,3.0,f +23534,100%,Maldives,2.0,f +27866,100%,Guinea,8.0,f +18924,,,1.0,t +34128,,Venezuela,1.0,f +11830,100%,Maldives,67.0,t +9514,,Indonesia,1.0,f +23335,100%,,3.0,f +31558,33%,Niger,1.0,f +2397,,Russian Federation,2.0,f +23089,,Mauritania,1.0,f +15802,,Malta,2.0,f +6097,,Bosnia and Herzegovina,1.0,f +24773,100%,,1.0,f +4920,98%,Estonia,8.0,f +41452,,Faroe Islands,1.0,f +4608,100%,Gambia,2.0,t +47610,100%,Uzbekistan,10.0,f +9802,,Indonesia,38.0,t +5457,100%,Niue,5.0,t +221,,Afghanistan,7.0,t +41872,,,4.0,t +39253,,Sao Tome and Principe,1.0,f +17026,,Mauritania,1.0,f +9802,,Indonesia,38.0,t +13667,100%,Isle of Man,2.0,t +14169,,,1.0,f +5339,100%,,3.0,t +39885,69%,French Guiana,2.0,t +47997,100%,,1.0,t +29618,,Lebanon,1.0,f +41945,100%,Uzbekistan,2.0,f +19749,100%,Denmark,6.0,t +3443,100%,Jersey,1.0,f +26556,,,1.0,f +11635,,Monaco,1.0,f +19341,100%,Guinea,1.0,f +24896,100%,Algeria,50.0,t +22721,100%,Ecuador,109.0,f +4745,100%,Croatia,119.0,f +21241,63%,,3.0,f +20334,99%,Niger,171.0,t +13712,100%,Malawi,3.0,f +6088,100%,,14.0,t +10660,,,2.0,t +24745,100%,Barbados,1.0,f +14170,,,1.0,f +49376,100%,Saint Barthelemy,3.0,t +49344,,,1.0,f +40978,100%,,1.0,f +32255,100%,Cuba,1.0,f +25221,,Malawi,1.0,f +33108,100%,Costa Rica,3.0,f +42538,,Indonesia,1.0,f +41632,,Brazil,1.0,f +21241,63%,,3.0,f +26284,,Tonga,1.0,f +23654,100%,Uzbekistan,23.0,f +29647,100%,Peru,1305.0,f +10800,100%,China,2.0,t +20043,100%,Holy See (Vatican City State),1.0,t +36790,,Kenya,1.0,f +13954,,Lebanon,2.0,f +17543,90%,,4.0,f +176,,Cuba,2.0,f +10672,86%,Mauritania,3.0,t +1038,,Maldives,5.0,f +3113,,Chile,1.0,f +2757,100%,El Salvador,1.0,f +23139,,Niger,2.0,t +38392,,Somalia,1.0,f +33323,0%,Guinea,1.0,t +494,,Anguilla,1.0,f +4920,98%,Estonia,8.0,f +10584,,,1.0,t +24679,,Montserrat,1.0,f +142,100%,,3.0,f +2665,100%,Faroe Islands,2.0,t +15339,,Estonia,1.0,f +28463,100%,,1.0,t +4322,97%,Tonga,32.0,f +3690,,,2.0,t +32555,50%,Anguilla,2.0,t +42854,,Jersey,2.0,f +41653,,Svalbard & Jan Mayen Islands,1.0,f +16777,,,1.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +6878,,Togo,1.0,f +2797,,Rwanda,2.0,f +1514,100%,Turks and Caicos Islands,1.0,f +10530,100%,Bouvet Island (Bouvetoya),1.0,f +9226,,Mauritania,5.0,f +26396,,,2.0,f +38527,100%,Malta,1.0,f +9104,100%,,1.0,f +31707,100%,Niger,48.0,f +41008,100%,Venezuela,6.0,f +27874,,Micronesia,1.0,f +10280,100%,,1.0,f +3979,,Lebanon,2.0,f +6344,100%,Bahrain,1.0,t +5472,,Netherlands,1.0,f +16715,,,1.0,t +31861,100%,Costa Rica,3.0,t +8376,100%,Guinea,3.0,t +4970,100%,Somalia,1.0,f +2797,,Rwanda,2.0,f +13375,,Mauritania,1.0,t +47610,100%,Uzbekistan,10.0,f +35405,100%,Tanzania,1.0,f +43249,67%,,1.0,f +4160,100%,,2.0,f +35202,,Ecuador,1.0,t +6028,,Mauritania,1.0,f +27828,,Lebanon,1.0,f +4310,100%,Jersey,1.0,f +45039,100%,,1.0,f +26216,,Bosnia and Herzegovina,4.0,t +17404,,,1.0,f +15875,100%,Lebanon,1.0,f +34088,,Marshall Islands,1.0,f +5100,,,1.0,f +36594,100%,Indonesia,1.0,f +18676,100%,France,1.0,f +19889,,Guinea,1.0,f +38087,100%,Niger,1.0,f +33254,,Uganda,1.0,f +21241,63%,,3.0,f +26674,77%,Uzbekistan,27.0,f +26674,77%,Uzbekistan,27.0,f +23710,100%,Gambia,5.0,f +12715,100%,Estonia,29.0,f +1650,,Niue,1.0,f +39256,,,2.0,f +8040,100%,,1.0,f +49021,,Russian Federation,1.0,f +18253,100%,Niue,1.0,f +6585,,,1.0,f +2937,86%,,1.0,t +40507,,Congo,2.0,f +4920,98%,Estonia,8.0,f +29486,90%,Monaco,1.0,f +37807,,Jersey,1.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +38832,97%,,15.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +16531,,Estonia,1.0,f +48653,100%,Bouvet Island (Bouvetoya),4.0,f +48653,100%,Bouvet Island (Bouvetoya),4.0,f +44038,,Bouvet Island (Bouvetoya),1.0,f +39407,,,2.0,t +36246,,Malta,2.0,t +5565,,,1.0,t +42761,,Malta,1.0,t +30683,100%,Marshall Islands,1.0,f +26550,,,1.0,f +30810,,Lebanon,1.0,f +49781,,Philippines,5.0,f +5574,,Nicaragua,2.0,f +6838,96%,Spain,59.0,t +46570,,Bahrain,1.0,t +25039,,Saint Helena,7.0,t +20620,,France,1.0,f +1713,100%,Guinea,1.0,f +25635,100%,,1.0,f +41123,78%,Isle of Man,3.0,f +31441,,Guinea,1.0,t +206,100%,China,5.0,t +769,100%,,1.0,f +1344,,,1.0,t +11198,,Afghanistan,2.0,f +40055,,Micronesia,1.0,f +18247,95%,Iran,80.0,t +26386,100%,Fiji,25.0,t +36093,100%,Denmark,18.0,t +36093,100%,Denmark,18.0,t +36058,100%,Tanzania,1.0,f +4834,100%,Zimbabwe,1.0,f +23189,100%,Brunei Darussalam,1.0,t +29647,100%,Peru,1305.0,f +13322,50%,Anguilla,2.0,f +41013,,Lebanon,2.0,t +9894,100%,,1.0,f +7492,100%,Guinea,3.0,f +34933,,,1.0,t +19943,63%,Isle of Man,34.0,f +40793,100%,,75.0,t +8548,,French Guiana,1.0,f +33267,100%,Gambia,2.0,f +22721,100%,Ecuador,109.0,f +27941,,Zimbabwe,1.0,f +41945,100%,Uzbekistan,2.0,f +48215,,Saint Helena,1.0,f +9999,100%,Isle of Man,1.0,f +17447,100%,El Salvador,4.0,t +22721,100%,Ecuador,109.0,f +41663,100%,Greenland,2.0,f +24337,,Sao Tome and Principe,1.0,f +48409,,Estonia,60.0,t +38470,,French Guiana,1.0,f +34048,,Nicaragua,1.0,f +48409,,Estonia,60.0,t +5802,100%,France,3.0,t +28247,,Sao Tome and Principe,1.0,t +29647,100%,Peru,1305.0,f +28916,,,1.0,f +20194,100%,Russian Federation,2.0,t +45094,,,1.0,f +17751,,,2.0,f +43550,100%,Rwanda,16.0,t +18096,100%,Afghanistan,1.0,f +17317,50%,Micronesia,2.0,t +35082,,Venezuela,1.0,f +19752,,Russian Federation,1.0,f +21067,100%,Uganda,1.0,f +36611,71%,Maldives,14.0,f +15458,100%,,2.0,f +10877,,,1.0,f +35482,100%,,2.0,f +28828,100%,Isle of Man,198.0,t +17736,,Russian Federation,1.0,f +27334,100%,China,16.0,f +47981,100%,Pakistan,2.0,f +25640,,,1.0,f +9834,100%,,1.0,f +47893,100%,French Guiana,1.0,t +49198,100%,Marshall Islands,1.0,t +14183,100%,,1.0,t +5209,,,1.0,t +30750,,,3.0,t +2867,,Nicaragua,1.0,t +5546,90%,Palestinian Territory,2.0,t +15056,,Niue,1.0,f +44030,,Lebanon,1.0,t +5546,90%,Palestinian Territory,2.0,t +3320,,Mauritania,1.0,f +22424,,Isle of Man,1.0,t +7727,80%,Svalbard & Jan Mayen Islands,2.0,t +31879,100%,,2.0,f +48889,,,1.0,f +26548,,,1.0,t +2096,100%,China,2.0,f +47350,,Niue,1.0,f +38866,60%,,2.0,f +19036,,Gibraltar,1.0,t +21547,100%,,1.0,f +34485,,Malta,1.0,f +5495,,Lithuania,1.0,f +27480,100%,United Kingdom,2.0,f +43550,100%,Rwanda,16.0,t +14873,100%,,1.0,t +43550,100%,Rwanda,16.0,t +15521,100%,Philippines,1.0,f +22869,,Gambia,1.0,f +40926,20%,Chad,1.0,f +14719,100%,Ecuador,2.0,t +48599,100%,Malawi,3.0,f +3789,64%,Fiji,2.0,f +12559,,,1.0,f +4992,,Kiribati,5.0,t +22162,,,1.0,f +20974,100%,Anguilla,3.0,f +13810,,,1.0,f +2110,100%,Denmark,4.0,t +32702,100%,,1.0,t +41313,100%,Denmark,10.0,t +24092,100%,France,3.0,t +15666,100%,Russian Federation,3.0,f +41546,100%,Mauritania,21.0,f +35637,100%,Isle of Man,2.0,f +45934,,,1.0,f +41546,100%,Mauritania,21.0,f +39184,,,1.0,f +8660,100%,,2.0,f +41546,100%,Mauritania,21.0,f +41546,100%,Mauritania,21.0,f +45682,100%,Uzbekistan,3.0,f +1541,,Finland,1.0,f +23951,,Kiribati,1.0,f +14262,,,1.0,f +46790,,,1.0,t +42651,,Kenya,1.0,f +5396,100%,,1.0,f +33781,,Guinea,5.0,t +23075,100%,,1.0,t +2624,,Indonesia,1.0,f +20865,100%,Ecuador,1.0,f +22,100%,Portugal,1.0,t +36715,,,1.0,f +22104,,Montserrat,1.0,f +14661,,,1.0,t +41798,,,1.0,t +17649,,,1.0,t +41457,,Chad,1.0,t +20968,100%,,2.0,t +7549,,,1.0,f +46616,,,1.0,t +49265,,El Salvador,1.0,f +48587,,,1.0,f +2243,100%,Tonga,1.0,f +17751,,,2.0,f +1280,100%,,1.0,f +14101,100%,Bosnia and Herzegovina,2.0,t +12405,,,1.0,f +5767,90%,Zimbabwe,1.0,f +48507,100%,,2.0,t +29118,,Chile,1.0,f +30707,,Guinea,1.0,f +20334,99%,Niger,171.0,t +39500,100%,Monaco,2.0,f +39056,,Guinea,1.0,f +35824,,Anguilla,1.0,f +1522,,,1.0,f +32549,,Niger,1.0,f +10806,100%,,1.0,t +23377,,Micronesia,1.0,f +13095,,Turks and Caicos Islands,1.0,f +11998,100%,Togo,3.0,f +2242,90%,Monaco,1.0,f +12424,100%,Pakistan,2.0,t +49286,,Guernsey,1.0,t +20624,89%,Sao Tome and Principe,1.0,f +35550,90%,El Salvador,2.0,f +41826,,Chile,2.0,t +41637,,Niue,1.0,f +10295,100%,,1.0,t +14101,100%,Bosnia and Herzegovina,2.0,t +39284,,,1.0,t +49204,,Brazil,1.0,t +28349,100%,Marshall Islands,2.0,f +14944,100%,Pakistan,2.0,t +23385,100%,,1.0,t +31981,,Gibraltar,1.0,f +26385,100%,,1.0,t +40616,,Mauritania,8.0,f +23484,,,1.0,f +10490,100%,Sao Tome and Principe,4.0,f +3834,50%,Jersey,3.0,t +32112,100%,,1.0,f +2565,,Isle of Man,1.0,f +40616,,Mauritania,8.0,f +13163,25%,Svalbard & Jan Mayen Islands,2.0,f +40616,,Mauritania,8.0,f +40616,,Mauritania,8.0,f +40616,,Mauritania,8.0,f +36009,100%,,2.0,t +37456,100%,French Guiana,1.0,f +23931,,Lebanon,1.0,t +38360,,Mauritania,2.0,f +9605,,Turkmenistan,1.0,f +21448,,,1.0,t +7139,,United Kingdom,2.0,t +44153,,Monaco,1.0,f +26105,,Lithuania,1.0,t +40616,,Mauritania,8.0,f +40616,,Mauritania,8.0,f +8573,100%,Micronesia,1.0,f +2244,,,1.0,f +32004,100%,Brazil,1.0,f +30770,,,1.0,f +779,,,2.0,f +21943,,Bouvet Island (Bouvetoya),1.0,t +48944,70%,Costa Rica,1.0,f +45692,100%,,1.0,f +8922,100%,Turks and Caicos Islands,2.0,t +46169,100%,Uzbekistan,1.0,t +17459,,Mauritania,1.0,f +22054,,,1.0,f +21276,,Ukraine,2.0,f +34199,70%,,1.0,f +46894,100%,Malawi,2.0,t +46030,100%,Togo,4.0,f +11439,,Lebanon,1.0,f +1191,98%,,12.0,t +831,80%,Kiribati,3.0,f +7864,,,1.0,f +6476,,,1.0,t +3369,18%,,1.0,f +21630,97%,Reunion,5.0,t +8437,99%,Maldives,6.0,f +5195,,Anguilla,1.0,f +44898,100%,,1.0,t +47247,,Somalia,1.0,f +4355,,Uzbekistan,2.0,f +8944,50%,,1.0,t +28692,,Russian Federation,1.0,t +32437,100%,,2.0,f +9161,,,1.0,f +14842,50%,Croatia,1.0,f +13779,,United Kingdom,1.0,f +43282,90%,Niger,6.0,t +17834,,Kiribati,1.0,t +10862,,Kiribati,1.0,f +26520,,,1.0,f +13918,,,1.0,f +3867,,Chad,1.0,f +31062,100%,Anguilla,1.0,f +23725,,Monaco,1.0,f +3849,100%,Palestinian Territory,2.0,t +35119,100%,Andorra,1.0,t +15361,,Reunion,1.0,f +16226,,Niue,1.0,t +34841,100%,Zimbabwe,22.0,t +8387,100%,,1.0,t +21948,,Anguilla,1.0,f +24138,100%,Cape Verde,1.0,f +26808,100%,Rwanda,9.0,t +14739,,Lebanon,1.0,t +28064,70%,Svalbard & Jan Mayen Islands,5.0,f +11753,100%,Gambia,11.0,t +24998,,Turkmenistan,1.0,t +17992,,Mauritania,1.0,f +7507,100%,Isle of Man,2.0,f +7507,100%,Isle of Man,2.0,f +45565,100%,,4.0,t +35170,100%,Vietnam,5.0,t +17614,100%,Marshall Islands,1.0,t +29543,0%,,2.0,f +30912,100%,Gibraltar,1.0,f +42838,0%,,2.0,f +46537,,Malawi,1.0,f +36234,97%,Fiji,12.0,t +23034,99%,Monaco,54.0,f +47145,100%,Kenya,2.0,f +10379,,Somalia,1.0,f +11267,89%,,1.0,f +18459,100%,Zimbabwe,100.0,f +39068,100%,Djibouti,6.0,t +20142,,Russian Federation,1.0,f +18459,100%,Zimbabwe,100.0,f +39241,,Rwanda,1.0,f +1365,,Reunion,1.0,f +41935,,,1.0,f +32104,100%,Bosnia and Herzegovina,1.0,f +273,80%,,1.0,f +6093,,,1.0,t +33923,,,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +3197,,,1.0,f +47274,100%,Tonga,48.0,f +3453,,Monaco,1.0,f +19516,,,1.0,f +34315,,Svalbard & Jan Mayen Islands,2.0,f +9081,,Gambia,1.0,f +22924,100%,Isle of Man,1.0,f +10037,,Isle of Man,1.0,t +22882,100%,,1.0,f +1668,,Malawi,1.0,f +30369,100%,Libyan Arab Jamahiriya,1.0,t +30557,,French Guiana,1.0,t +9977,,Sao Tome and Principe,3.0,f +1716,100%,,1.0,f +1191,98%,,12.0,t +4193,100%,Russian Federation,1.0,t +43015,67%,,1.0,t +36584,,Denmark,1.0,t +27531,100%,Marshall Islands,2.0,f +39359,,,2.0,f +19687,,,1.0,f +2291,100%,Zimbabwe,5.0,t +9425,100%,,2.0,f +5410,,,1.0,f +21886,,Croatia,5.0,t +5004,,Micronesia,1.0,f +25263,,Chile,1.0,f +978,95%,Lithuania,29.0,f +24711,79%,,2.0,f +20258,100%,,3.0,f +18429,100%,,1.0,f +35893,,Senegal,1.0,t +978,95%,Lithuania,29.0,f +47637,100%,China,1.0,f +25720,,,1.0,f +45768,,Chile,1.0,f +978,95%,Lithuania,29.0,f +40831,100%,Croatia,1.0,f +25893,,,1.0,f +10983,100%,French Guiana,2.0,t +43237,40%,Montserrat,24.0,f +978,95%,Lithuania,29.0,f +38548,100%,Monaco,1.0,f +27517,80%,Nicaragua,3.0,f +33651,,Faroe Islands,1.0,f +4267,100%,Senegal,22.0,t +29927,100%,,2.0,f +26393,100%,Canada,1.0,f +27517,80%,Nicaragua,3.0,f +24844,100%,Uzbekistan,6.0,f +32477,,Tanzania,1.0,f +34230,100%,,1.0,f +37639,100%,Nauru,11.0,f +41610,,El Salvador,1.0,t +26110,,Denmark,1.0,f +978,95%,Lithuania,29.0,f +47856,,,1.0,f +35054,,Finland,3.0,t +22721,100%,Ecuador,109.0,f +978,95%,Lithuania,29.0,f +46299,,,1.0,f +50067,,,1.0,t +39870,,Slovakia (Slovak Republic),21.0,t +39870,,Slovakia (Slovak Republic),21.0,t +5574,,Nicaragua,2.0,f +18185,90%,Niger,1.0,t +47933,100%,,1.0,f +17980,100%,Gambia,1.0,t +49705,,Jersey,1.0,f +49056,,Malawi,1.0,t +18226,100%,Guernsey,1.0,f +20346,,Chad,1.0,t +10274,,,1.0,t +8466,94%,Saint Helena,7.0,f +7317,,Chile,1.0,t +44367,91%,Brazil,12.0,f +37365,100%,Niue,1.0,f +40342,100%,Ukraine,2.0,f +327,100%,Tonga,2.0,t +44183,0%,France,2.0,f +19245,,Gambia,1.0,t +19898,100%,Portugal,1.0,f +19930,100%,Puerto Rico,2.0,f +5108,,Turkmenistan,1.0,f +45528,100%,Guinea,4.0,t +30660,80%,Portugal,2.0,t +48279,100%,Isle of Man,1.0,t +9358,100%,Estonia,1.0,f +9008,,,3.0,t +35089,100%,,2.0,f +27171,100%,Reunion,1.0,t +48859,,Ghana,1.0,f +4890,100%,Maldives,1.0,t +1665,,Denmark,1.0,f +1575,100%,Mexico,1.0,t +18415,,Micronesia,1.0,f +34226,,Palestinian Territory,2.0,t +45528,100%,Guinea,4.0,t +38146,,Papua New Guinea,2.0,f +31076,,Tanzania,1.0,t +43392,88%,,1.0,f +23255,,Venezuela,1.0,f +34065,,,1.0,t +4853,71%,,1.0,t +760,,Malawi,1.0,t +27696,100%,Ecuador,2.0,f +36633,,,1.0,f +11550,,Niue,1.0,t +39326,,,1.0,f +31707,100%,Niger,48.0,f +23436,100%,Zimbabwe,2.0,f +48650,,Guernsey,1.0,f +14285,,Niue,1.0,f +26396,,,2.0,f +37605,,,4.0,f +11377,100%,,1.0,f +47753,,French Guiana,1.0,f +47504,,France,1.0,f +43056,100%,Kenya,1.0,f +17711,,,1.0,f +6495,89%,Tonga,34.0,f +49916,,Estonia,2.0,f +25681,,Maldives,1.0,f +6495,89%,Tonga,34.0,f +19877,,Zimbabwe,1.0,f +6495,89%,Tonga,34.0,f +6495,89%,Tonga,34.0,f +18066,100%,Russian Federation,2.0,t +49915,100%,Tunisia,1.0,t +15369,100%,,2.0,t +49916,,Estonia,2.0,f +47795,100%,Wallis and Futuna,4.0,f +2644,100%,Zimbabwe,11.0,t +20563,86%,,1.0,f +12120,100%,Zimbabwe,2.0,f +30301,,Togo,1.0,f +6676,,Niue,1.0,f +36164,,Russian Federation,1.0,f +37572,,Niue,1.0,f +41878,91%,Maldives,47.0,f +25600,100%,Venezuela,1.0,t +40364,100%,Tonga,25.0,f +24534,,Barbados,1.0,f +9472,,Togo,3.0,f +14585,,,1.0,f +35768,100%,,1.0,f +29235,100%,Malta,6.0,f +40789,,Nicaragua,1.0,t +24081,100%,,2.0,f +11051,100%,Bosnia and Herzegovina,1.0,f +35089,100%,,2.0,f +47757,100%,,1.0,t +2098,,French Guiana,1.0,f +33164,60%,Togo,6.0,f +19855,100%,Kiribati,37.0,t +37697,100%,Jersey,1.0,f +28557,,,1.0,t +45629,,,2.0,f +37999,100%,Senegal,20.0,t +22688,90%,,1.0,t +11900,,Uzbekistan,1.0,f +35304,100%,Tonga,12.0,t +5457,100%,Niue,5.0,t +5457,100%,Niue,5.0,t +1796,100%,Mauritania,5.0,f +461,100%,Saint Helena,4.0,f +37772,,Turkmenistan,1.0,f +2196,100%,France,1.0,f +32781,100%,Lebanon,2.0,f +26220,,Russian Federation,1.0,f +33707,100%,Chad,1.0,f +31879,100%,,2.0,f +14060,100%,,1.0,f +44577,100%,Slovakia (Slovak Republic),2.0,f +21654,96%,Solomon Islands,5.0,t +9472,,Togo,3.0,f +24464,100%,Venezuela,2.0,f +37837,,Peru,1.0,f +14471,,Micronesia,1.0,f +44635,,Barbados,2.0,t +24406,,Afghanistan,4.0,t +29927,100%,,2.0,f +28010,100%,Nicaragua,2.0,t +35875,,,1.0,f +22682,,,1.0,t +19943,63%,Isle of Man,34.0,f +25198,,Christmas Island,4.0,t +36304,100%,,1.0,t +14577,50%,Niue,2.0,t +13324,,Tonga,1.0,t +41891,,,1.0,t +9516,99%,Pakistan,45.0,t +12395,100%,Tonga,1.0,f +9516,99%,Pakistan,45.0,t +176,,Cuba,2.0,f +8246,,,1.0,t +41757,100%,Malta,5.0,f +16698,100%,United Kingdom,9.0,f +41495,100%,,1.0,t +41691,,French Guiana,1.0,t +25222,80%,Kenya,11.0,t +23108,100%,Micronesia,2.0,t +37943,,Russian Federation,1.0,f +17839,80%,Ghana,1.0,f +4843,,Christmas Island,1.0,t +32086,,Malawi,1.0,f +10154,,,1.0,f +7248,100%,Nicaragua,2.0,f +12805,,Netherlands Antilles,1.0,f +41757,100%,Malta,5.0,f +39873,100%,Djibouti,1.0,f +18442,100%,Reunion,5.0,t +19855,100%,Kiribati,37.0,t +38560,,Gibraltar,1.0,t +22978,,El Salvador,2.0,f +14534,100%,Kiribati,1.0,f +23536,,Rwanda,1.0,f +32656,,Kenya,5.0,f +10711,93%,Uganda,108.0,t +1564,100%,Indonesia,12.0,f +10488,100%,Niger,17.0,t +10896,100%,Bouvet Island (Bouvetoya),1.0,f +18350,,Chad,1.0,t +10711,93%,Uganda,108.0,t +9600,,Brazil,1.0,f +43225,100%,,3.0,f +45554,100%,Kiribati,1.0,f +28285,100%,Finland,1.0,f +42101,100%,,2.0,f +4384,,Costa Rica,1.0,t +26328,,,1.0,f +47240,,Guinea,1.0,f +13712,100%,Malawi,3.0,f +1144,,Jersey,1.0,f +30735,,,2.0,f +3266,100%,,1.0,t +24844,100%,Uzbekistan,6.0,f +23060,100%,Denmark,1.0,f +20945,,Niger,1.0,f +46665,,,1.0,f +16910,100%,Slovakia (Slovak Republic),5.0,t +11217,,Niue,3.0,f +17032,,,1.0,f +4825,,Malta,3.0,t +10741,100%,Micronesia,2.0,f +26951,,,1.0,f +8416,,Somalia,1.0,f +36990,,Zimbabwe,1.0,f +11684,100%,Isle of Man,3.0,f +30501,100%,Marshall Islands,2.0,f +25663,83%,,1.0,f +32506,,Puerto Rico,1.0,f +26700,,Niue,6.0,f +24466,,Denmark,1.0,f +25299,,Russian Federation,1.0,f +17819,100%,Guinea,2.0,f +33618,,Malta,1.0,f +47243,,,1.0,f +39260,,,1.0,f +9171,,Svalbard & Jan Mayen Islands,1.0,t +26677,100%,Isle of Man,1.0,f +40616,,Mauritania,8.0,f +14259,,,1.0,f +639,,Gambia,1.0,f +6330,,Micronesia,1.0,t +24820,100%,Niue,2.0,f +39025,100%,France,2.0,t +3145,100%,Micronesia,3.0,t +49703,100%,Nicaragua,9.0,f +5983,100%,,1.0,f +39590,100%,Philippines,1.0,f +9249,,United Kingdom,1.0,t +28599,100%,Papua New Guinea,1.0,f +1060,,,1.0,t +9023,90%,Maldives,2.0,t +43734,90%,,1.0,f +41127,,Maldives,1.0,f +31978,100%,Afghanistan,2.0,f +43107,,Bouvet Island (Bouvetoya),1.0,f +20610,,El Salvador,1.0,f +46804,90%,Cape Verde,2.0,f +21999,100%,Montserrat,1.0,t +39122,,Turks and Caicos Islands,2.0,f +31107,100%,Isle of Man,3.0,t +20861,100%,,1.0,f +45688,,Kenya,10.0,f +42700,,Montserrat,1.0,f +4304,,Sao Tome and Principe,2.0,t +10542,,Pakistan,1.0,f +7848,,,1.0,f +17020,,Uzbekistan,1.0,f +33869,100%,Jersey,1.0,t +33374,,Vanuatu,1.0,f +5086,100%,Christmas Island,1.0,t +47245,,Barbados,2.0,t +11369,,Turks and Caicos Islands,1.0,f +10853,100%,Guinea,5.0,f +30655,,Philippines,1.0,f +12960,100%,Indonesia,9.0,f +4742,20%,Chile,3.0,t +29091,100%,,1.0,t +1196,,China,1.0,t +40612,,,2.0,f +30714,100%,United Kingdom,2.0,f +32588,,Nicaragua,1.0,t +12198,,,1.0,f +2430,100%,,1.0,f +5769,,Wallis and Futuna,2.0,f +28887,100%,Ghana,8.0,f +7123,,,1.0,f +1830,,,1.0,t +48871,0%,Cuba,1.0,t +120,100%,Cuba,2.0,f +45688,,Kenya,10.0,f +45688,,Kenya,10.0,f +14995,,,1.0,f +20031,,,2.0,f +19865,100%,,1.0,f +7556,100%,,2.0,f +34882,,Guinea,1.0,f +13939,,,1.0,f +7488,,,1.0,f +28696,,Lebanon,1.0,t +27924,,Kiribati,1.0,f +13092,100%,,1.0,t +14269,,,1.0,f +43530,90%,Russian Federation,2.0,t +41319,100%,Sao Tome and Principe,5.0,f +30983,100%,Costa Rica,1.0,f +10155,100%,Faroe Islands,1.0,t +30357,,,1.0,t +30049,83%,Zimbabwe,1.0,f +36012,100%,,8.0,f +19425,83%,,2.0,f +30755,,Uganda,1.0,f +26575,100%,Netherlands,2.0,f +44758,,,1.0,f +430,,Marshall Islands,3.0,f +26863,,Mexico,7.0,f +22197,90%,,1.0,f +13278,95%,Isle of Man,7.0,f +38912,,Ghana,1.0,f +27081,,,2.0,f +11979,,Anguilla,1.0,f +31756,,Croatia,1.0,t +41696,,,1.0,f +26567,70%,Guinea,2.0,f +37953,100%,Sao Tome and Principe,6.0,f +14016,,Turkmenistan,3.0,t +10571,100%,Niue,1.0,f +43420,,Nicaragua,1.0,f +31760,100%,,2.0,t +28887,100%,Ghana,8.0,f +40130,100%,Kiribati,2.0,f +24948,,Rwanda,3.0,f +47364,,Isle of Man,1.0,f +6864,,Sao Tome and Principe,1.0,f +27241,,,1.0,t +49209,100%,,1.0,t +19726,100%,United Kingdom,2.0,t +20393,80%,Niue,1.0,f +24338,100%,El Salvador,2.0,f +24948,,Rwanda,3.0,f +20024,100%,United Kingdom,1.0,t +1579,100%,Jersey,1.0,f +50084,,,1.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +5714,90%,Pakistan,3.0,f +3836,0%,Zimbabwe,1.0,f +42195,,Zimbabwe,1.0,f +32038,100%,Indonesia,35.0,f +48409,,Estonia,60.0,t +40592,100%,El Salvador,1.0,t +6350,,Nicaragua,1.0,f +4560,,Bouvet Island (Bouvetoya),2.0,f +7171,,Russian Federation,1.0,t +19643,,,2.0,f +16060,,,1.0,f +49054,100%,,1.0,f +23196,100%,Guinea,4.0,t +43162,72%,China,7.0,f +20140,,Lebanon,1.0,t +46576,,Marshall Islands,1.0,f +4686,85%,Niger,1.0,f +37315,100%,Turks and Caicos Islands,1.0,f +27081,,,2.0,f +18623,100%,,2.0,f +9254,,Maldives,1.0,t +5085,,,1.0,f +12589,100%,Uzbekistan,1.0,f +21333,100%,Faroe Islands,2.0,f +25452,,Bosnia and Herzegovina,1.0,t +20720,100%,,4.0,f +39981,,,1.0,f +45688,,Kenya,10.0,f +3968,100%,,1.0,f +16698,100%,United Kingdom,9.0,f +16698,100%,United Kingdom,9.0,f +20720,100%,,4.0,f +2275,,Micronesia,1.0,f +10576,100%,Micronesia,2.0,f +24192,100%,,2.0,t +16698,100%,United Kingdom,9.0,f +28772,100%,Niger,15.0,t +26176,,El Salvador,1.0,f +19137,100%,Russian Federation,1.0,t +16747,100%,,1.0,t +45652,100%,Maldives,2.0,f +11308,,,1.0,f +43732,100%,Niue,2.0,t +28103,,,1.0,t +1327,100%,Brazil,1.0,f +27070,100%,Uzbekistan,2.0,f +48409,,Estonia,60.0,t +43321,100%,France,40.0,f +29827,,,1.0,t +29928,,Tonga,1.0,t +6680,,France,2.0,t +16596,100%,Congo,3.0,f +12938,92%,Reunion,12.0,f +1025,100%,,1.0,t +20712,,Peru,1.0,t +37605,,,4.0,f +11616,100%,Uzbekistan,12.0,t +48827,100%,,1.0,f +30555,100%,Saint Helena,2.0,f +3482,100%,Marshall Islands,4.0,f +6473,90%,Uzbekistan,4.0,t +45652,100%,Maldives,2.0,f +13511,,Marshall Islands,1.0,f +49639,100%,,1.0,t +27335,0%,,1.0,f +6244,,Guernsey,1.0,f +43321,100%,France,40.0,f +24896,100%,Algeria,50.0,t +48943,,Nauru,1.0,f +1564,100%,Indonesia,12.0,f +31707,100%,Niger,48.0,f +38707,,Czech Republic,2.0,t +33173,,Kiribati,2.0,f +35429,100%,Lithuania,1.0,f +24984,100%,Andorra,1.0,f +45876,100%,Sao Tome and Principe,1.0,t +16342,,Marshall Islands,6.0,t +47086,100%,Mauritania,4.0,t +831,80%,Kiribati,3.0,f +25222,80%,Kenya,11.0,t +11213,100%,Svalbard & Jan Mayen Islands,2.0,t +22053,,Fiji,1.0,f +33101,100%,Nauru,2.0,f +32521,100%,Montserrat,4.0,t +36052,100%,,2.0,t +22426,,,2.0,t +20153,96%,Reunion,51.0,f +13908,100%,Costa Rica,2.0,f +9606,,,1.0,f +40959,100%,Russian Federation,2.0,f +42594,,Guinea,3.0,f +12866,,,1.0,t +23928,100%,Jersey,2.0,f +9017,,,1.0,t +13190,100%,,4.0,t +29821,,Croatia,1.0,f +27004,100%,Jersey,1.0,f +21333,100%,Faroe Islands,2.0,f +44058,100%,Uganda,1.0,f +7799,,,1.0,f +32979,100%,Ecuador,2.0,t +10612,100%,Brazil,3.0,f +15955,88%,Malta,4.0,t +18295,100%,Guinea,3.0,t +4496,,Monaco,1.0,f +28272,,Cuba,1.0,t +31308,100%,Maldives,1.0,f +35026,,Estonia,7.0,f +705,100%,,1.0,f +41741,100%,Brazil,9.0,t +25140,100%,Togo,3.0,f +36624,100%,,1.0,f +15708,,,1.0,t +26889,100%,Indonesia,10.0,f +19156,,Kenya,1.0,f +19040,,,1.0,f +13005,100%,,3.0,f +8845,,Turks and Caicos Islands,1.0,f +14686,,Lebanon,1.0,t +36847,,,1.0,f +10390,,Guinea,2.0,f +12445,,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +27871,,Sao Tome and Principe,1.0,t +13005,100%,,3.0,f +20334,99%,Niger,171.0,t +29647,100%,Peru,1305.0,f +2230,100%,,1.0,f +47638,,Guinea,1.0,f +28419,100%,Russian Federation,1.0,f +6148,100%,,1.0,t +29647,100%,Peru,1305.0,f +46992,30%,Marshall Islands,1.0,f +26698,100%,Uganda,5.0,t +46399,,Chad,1.0,t +39334,100%,Estonia,1.0,t +17592,,Gibraltar,1.0,f +26698,100%,Uganda,5.0,t +11551,,,3.0,f +29647,100%,Peru,1305.0,f +21342,,Congo,1.0,f +29647,100%,Peru,1305.0,f +48932,100%,Monaco,5.0,t +41878,91%,Maldives,47.0,f +21656,,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +13005,100%,,3.0,f +10483,,Netherlands,2.0,t +29647,100%,Peru,1305.0,f +48399,,Turks and Caicos Islands,1.0,f +34767,100%,Nauru,1.0,f +5020,,Bosnia and Herzegovina,1.0,f +7550,100%,Uganda,1.0,t +27217,,,1.0,t +38850,100%,,1.0,f +2195,,Niue,1.0,f +31117,80%,Croatia,3.0,t +21810,100%,Zimbabwe,2.0,f +4110,,,3.0,f +2896,,Tanzania,1.0,f +36611,71%,Maldives,14.0,f +43990,100%,Uganda,7.0,f +10711,93%,Uganda,108.0,t +7231,100%,Uzbekistan,3.0,t +20445,,,1.0,f +16698,100%,United Kingdom,9.0,f +2471,,Maldives,1.0,f +23098,,,1.0,f +32815,,,1.0,f +48355,,French Guiana,1.0,f +28821,,,1.0,f +23527,,,1.0,f +4145,80%,Tonga,1.0,f +1210,,Reunion,2.0,f +14197,,,1.0,t +3556,,,1.0,f +40302,100%,Rwanda,2.0,t +27708,,Uzbekistan,1.0,f +4664,,,1.0,f +28559,100%,Zimbabwe,1.0,f +44343,,Bosnia and Herzegovina,2.0,t +42965,100%,Uzbekistan,11.0,t +13321,,Maldives,1.0,t +31873,99%,Uzbekistan,22.0,f +27825,100%,,2.0,t +49164,,,1.0,t +18191,,Djibouti,2.0,f +21873,,,1.0,f +6491,,,1.0,f +41990,,,1.0,f +24989,,French Guiana,1.0,f +1028,,,1.0,f +31873,99%,Uzbekistan,22.0,f +38735,100%,Turkmenistan,1.0,f +17543,90%,,4.0,f +9084,100%,,2.0,f +7248,100%,Nicaragua,2.0,f +12261,,Niue,1.0,t +7139,,United Kingdom,2.0,t +18861,,,1.0,f +8129,100%,Rwanda,5.0,f +11551,,,3.0,f +5029,,,1.0,f +36611,71%,Maldives,14.0,f +9386,100%,,1.0,t +11255,93%,Suriname,41.0,f +39168,83%,Tonga,6.0,f +7976,,Chile,1.0,f +48398,0%,Peru,1.0,f +19217,98%,Marshall Islands,46.0,f +18078,100%,Montserrat,13.0,t +19269,,Bahrain,1.0,f +38108,100%,Lebanon,2.0,t +33886,,Gambia,9.0,t +18295,100%,Guinea,3.0,t +5634,,,1.0,f +10583,,,1.0,t +46624,,,1.0,f +47810,100%,Tonga,3.0,f +24859,,Afghanistan,1.0,t +2169,100%,Kiribati,1.0,f +35012,,Cocos (Keeling) Islands,1.0,f +30703,,,1.0,t +15494,,Lithuania,1.0,f +28772,100%,Niger,15.0,t +30631,,El Salvador,1.0,f +46046,,Anguilla,1.0,f +38920,,Barbados,1.0,t +4921,,,1.0,t +18191,,Djibouti,2.0,f +15986,,,1.0,t +9401,50%,,1.0,f +35026,,Estonia,7.0,f +2511,,,1.0,f +1599,100%,,2.0,f +24862,100%,Marshall Islands,1.0,f +9497,90%,,3.0,t +9094,,Marshall Islands,1.0,f +41546,100%,Mauritania,21.0,f +46113,100%,United Kingdom,2.0,f +32699,100%,,1.0,f +36522,,Gibraltar,1.0,f +930,100%,Uganda,2.0,t +969,,Pakistan,3.0,f +29647,100%,Peru,1305.0,f +44797,,Maldives,1.0,t +31979,100%,Kenya,10.0,f +27250,75%,,1.0,f +39143,89%,,33.0,f +44044,,,1.0,f +33468,100%,Monaco,2.0,t +28018,,,1.0,f +41515,90%,,1.0,f +20013,100%,French Guiana,1.0,t +8308,,,1.0,f +1455,100%,France,2.0,f +19635,,El Salvador,3.0,t +5350,,Isle of Man,1.0,f +33207,,Jersey,1.0,f +20602,100%,Gambia,1.0,f +24452,67%,,1.0,f +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +21240,94%,Niger,130.0,f +12637,100%,Guinea,1.0,f +1039,,,1.0,f +45173,,,1.0,f +10706,,,1.0,f +24917,100%,Uganda,11.0,t +41076,70%,,2.0,f +26780,100%,Guinea,7.0,f +6794,100%,Bosnia and Herzegovina,2.0,t +6700,100%,Guinea,7.0,f +14755,,,2.0,f +14755,,,2.0,f +28297,100%,,2.0,t +47866,,,1.0,f +25564,100%,,2.0,f +17306,92%,Micronesia,4.0,t +27614,100%,,2.0,t +40046,,Niue,2.0,f +38888,100%,Malta,1.0,f +5508,,Barbados,1.0,f +30435,99%,Cape Verde,41.0,f +19455,100%,Micronesia,2.0,f +48143,,,1.0,f +29369,100%,Tonga,2.0,f +19306,,Kenya,1.0,f +2330,100%,,1.0,f +35835,,,1.0,f +17464,,Philippines,8.0,t +364,,,4.0,f +48311,,,1.0,t +28046,100%,Cape Verde,5.0,f +36530,,Gibraltar,1.0,f +33454,100%,Tonga,7.0,f +31208,,Rwanda,3.0,f +38759,100%,Cocos (Keeling) Islands,2.0,f +48699,,Mauritania,1.0,f +5469,,Lebanon,1.0,f +48640,100%,Vanuatu,1.0,f +34778,,,1.0,f +45874,,,2.0,f +48493,,Uzbekistan,1.0,t +7316,,,2.0,f +40722,,Maldives,2.0,f +34232,,,1.0,f +6894,80%,Estonia,47.0,t +30251,100%,Brazil,3.0,f +2918,,Cuba,1.0,f +38759,100%,Cocos (Keeling) Islands,2.0,f +47173,,,1.0,t +39575,,,1.0,f +12940,100%,,2.0,t +49289,50%,Gambia,3.0,f +11505,,Slovakia (Slovak Republic),1.0,t +49734,,Zimbabwe,1.0,t +30383,90%,Mauritania,6.0,t +8981,,Denmark,1.0,f +45825,,Micronesia,1.0,t +45637,,,1.0,f +22888,,,1.0,t +24775,97%,Montserrat,44.0,f +2824,25%,Barbados,5.0,f +2824,25%,Barbados,5.0,f +2824,25%,Barbados,5.0,f +25940,100%,Turks and Caicos Islands,2.0,f +42594,,Guinea,3.0,f +13158,100%,Malta,1.0,f +41582,,,1.0,t +22957,100%,Kiribati,3.0,f +24094,100%,Tonga,1.0,f +30714,100%,United Kingdom,2.0,f +33568,,Guinea,1.0,f +10946,,Sao Tome and Principe,1.0,t +48856,,,1.0,t +39480,100%,Montserrat,1.0,f +20443,100%,Uganda,1.0,f +22714,,,1.0,t +15045,,Russian Federation,1.0,f +28468,100%,Uzbekistan,1.0,f +508,,,1.0,f +21682,100%,United Kingdom,2.0,f +15840,,Marshall Islands,1.0,t +20300,,Uganda,1.0,f +4710,25%,Guernsey,1.0,t +20334,99%,Niger,171.0,t +25198,,Christmas Island,4.0,t +1746,50%,Puerto Rico,3.0,f +22690,,,1.0,t +41246,,Libyan Arab Jamahiriya,1.0,f +3654,100%,Guernsey,2.0,f +29575,,Kiribati,1.0,f +30175,,Russian Federation,2.0,t +28793,100%,Lebanon,1.0,f +2460,,Vietnam,2.0,f +36319,75%,France,2.0,t +251,,Cuba,1.0,t +13561,,,1.0,t +28560,100%,Estonia,3.0,t +13420,100%,Uruguay,1.0,f +30730,,Chad,2.0,t +38773,,,1.0,f +39706,,Isle of Man,1.0,t +44210,95%,,3.0,f +25383,100%,Bahrain,3.0,f +29571,,,2.0,f +10016,,,1.0,f +3627,100%,Malawi,1.0,t +39448,,,1.0,f +39219,,Maldives,1.0,f +6656,100%,,1.0,t +15964,75%,Gambia,1.0,f +38610,,,1.0,f +65,100%,,1.0,f +47125,93%,Kiribati,4.0,f +6109,100%,Faroe Islands,1.0,t +30121,,Pakistan,1.0,f +16466,,,2.0,f +40011,,,1.0,f +28949,,Kiribati,1.0,f +28828,100%,Isle of Man,198.0,t +48739,100%,Denmark,1.0,t +45546,100%,Cape Verde,19.0,t +19100,,Lebanon,1.0,t +16809,,,1.0,f +46423,,Croatia,1.0,t +28130,75%,Zimbabwe,1.0,t +20833,100%,Kiribati,2.0,f +34100,,Rwanda,1.0,f +25170,100%,Russian Federation,2.0,f +6608,95%,Russian Federation,3.0,t +32514,,,1.0,t +18133,,,1.0,t +6695,,Micronesia,1.0,f +4446,100%,Uganda,58.0,f +8948,,Netherlands,1.0,f +13403,96%,Maldives,21.0,t +9133,,United Kingdom,1.0,f +47662,,Isle of Man,3.0,t +10711,93%,Uganda,108.0,t +6834,100%,Svalbard & Jan Mayen Islands,1.0,f +49139,,,1.0,f +47182,,,1.0,f +35018,100%,Nicaragua,10.0,f +47477,,Maldives,1.0,f +17626,100%,Faroe Islands,2.0,t +45549,100%,,1.0,f +28417,100%,,1.0,t +541,93%,Marshall Islands,17.0,f +22695,97%,Pakistan,6.0,t +22077,100%,Mauritania,10.0,f +25451,100%,,1.0,f +35982,,Sao Tome and Principe,1.0,f +49763,,Somalia,1.0,f +35018,100%,Nicaragua,10.0,f +15786,80%,Kenya,1.0,t +45834,100%,,1.0,f +36028,75%,,1.0,f +38508,100%,Rwanda,1.0,t +37169,100%,Jersey,2.0,f +32429,,Gambia,9.0,f +3655,,Uzbekistan,1.0,f +488,100%,Maldives,18.0,f +16303,,Niue,1.0,f +30653,,Zimbabwe,1.0,f +19683,90%,,1.0,t +27902,,,2.0,f +39933,,Canada,1.0,f +29647,100%,Peru,1305.0,f +22944,100%,,1.0,t +37884,,Djibouti,1.0,f +24118,98%,Ghana,21.0,t +46290,100%,Micronesia,2.0,f +15677,,,1.0,t +24486,100%,Svalbard & Jan Mayen Islands,1.0,f +11699,,El Salvador,1.0,t +20216,,United Kingdom,1.0,f +31224,90%,,2.0,f +37127,100%,Guinea,3.0,f +7385,100%,Kenya,1.0,f +12703,,Ecuador,1.0,f +938,67%,,2.0,t +16208,100%,Guinea,1.0,t +865,,China,1.0,f +27868,100%,,2.0,t +41268,100%,Peru,1.0,f +18037,100%,Brazil,2.0,f +44487,,Niue,1.0,f +24804,,,1.0,t +32465,100%,Isle of Man,3.0,t +9119,,Niue,1.0,f +50006,43%,,1.0,f +48394,,,1.0,t +40819,,,1.0,f +41878,91%,Maldives,47.0,f +12474,,,1.0,f +2734,,,1.0,f +24263,,,1.0,f +35026,,Estonia,7.0,f +14865,100%,,1.0,f +49687,,Marshall Islands,1.0,f +40688,100%,Holy See (Vatican City State),3.0,t +46950,88%,Netherlands,2.0,t +48590,,Russian Federation,1.0,t +19091,95%,Cook Islands,18.0,t +13403,96%,Maldives,21.0,t +5541,,Nicaragua,1.0,t +48609,100%,Uzbekistan,2.0,f +22180,,Lebanon,1.0,t +11785,,,1.0,t +43568,100%,Sao Tome and Principe,5.0,t +14540,92%,Niue,5.0,f +13328,,Bosnia and Herzegovina,3.0,t +43982,100%,Denmark,2.0,f +30381,100%,Gambia,1.0,f +34529,,,2.0,f +10711,93%,Uganda,108.0,t +50001,,Lebanon,1.0,f +11689,100%,Chad,1.0,f +14514,,China,80.0,t +20489,,,1.0,t +6320,,Jersey,1.0,f +34989,100%,,1.0,f +1622,86%,Finland,1.0,t +19744,100%,,1.0,f +22438,90%,Guinea,2.0,t +8601,,Angola,16.0,f +38491,100%,Rwanda,3.0,t +18773,,,1.0,f +541,93%,Marshall Islands,17.0,f +24276,,Maldives,1.0,f +29647,100%,Peru,1305.0,f +34273,,Christmas Island,1.0,f +10903,,,8.0,t +16000,100%,Reunion,2.0,f +9802,,Indonesia,38.0,t +42863,,,1.0,t +430,,Marshall Islands,3.0,f +22844,,,1.0,f +8601,,Angola,16.0,f +43550,100%,Rwanda,16.0,t +11372,100%,Micronesia,3.0,f +33120,,Mauritania,2.0,f +5928,,Niue,6.0,t +26480,,France,1.0,f +22978,,El Salvador,2.0,f +22875,100%,Marshall Islands,1.0,f +5336,,Tonga,1.0,f +26226,,,1.0,f +49456,0%,Venezuela,1.0,f +25819,92%,,6.0,t +8601,,Angola,16.0,f +24836,100%,Kiribati,4.0,f +42544,100%,,1.0,f +30139,,,1.0,t +9732,,,1.0,t +430,,Marshall Islands,3.0,f +20568,100%,Gambia,1.0,t +34574,,,1.0,t +24419,,Malawi,2.0,f +46449,100%,Tonga,1.0,f +938,67%,,2.0,t +25222,80%,Kenya,11.0,t +26865,100%,,1.0,t +15849,,Wallis and Futuna,1.0,f +39122,,Turks and Caicos Islands,2.0,f +26980,100%,Tonga,2.0,f +25821,100%,Russian Federation,2.0,f +25476,100%,Fiji,11.0,f +25476,100%,Fiji,11.0,f +19847,100%,Maldives,1.0,f +31707,100%,Niger,48.0,f +24850,,,1.0,f +9802,,Indonesia,38.0,t +12918,100%,China,9.0,f +47137,,Malawi,1.0,f +20334,99%,Niger,171.0,t +20765,88%,Isle of Man,1.0,f +9802,,Indonesia,38.0,t +37730,,,1.0,t +26831,50%,Fiji,1.0,f +12686,,Chad,1.0,t +18171,100%,Guernsey,1.0,t +629,,,1.0,t +25279,,Bouvet Island (Bouvetoya),1.0,f +45341,,,1.0,f +30759,100%,Uganda,2.0,f +2032,100%,,1.0,t +5247,46%,Estonia,3.0,t +19311,,Somalia,1.0,f +19064,,French Guiana,1.0,t +9802,,Indonesia,38.0,t +45629,,,2.0,f +4164,100%,Turks and Caicos Islands,3.0,f +29141,100%,Togo,3.0,t +3813,100%,,1.0,f +4857,,,1.0,f +37903,,Ghana,1.0,f +6495,89%,Tonga,34.0,f +14805,,Ghana,2.0,f +46104,100%,Fiji,2.0,t +27827,100%,,3.0,f +36581,,,1.0,f +15817,100%,Barbados,4.0,t +40432,100%,Nicaragua,2.0,f +29647,100%,Peru,1305.0,f +16912,100%,France,1.0,t +4542,,Russian Federation,1.0,f +4446,100%,Uganda,58.0,f +29480,100%,French Polynesia,6.0,f +18239,,,1.0,f +48139,100%,,1.0,t +36499,75%,Anguilla,25.0,t +22740,100%,Russian Federation,1.0,t +13907,,,1.0,f +8875,,,1.0,f +30995,,,7.0,f +9167,,Rwanda,2.0,t +35952,100%,,1.0,f +44298,33%,Kiribati,2.0,t +17865,,Uzbekistan,1.0,f +42105,,Bouvet Island (Bouvetoya),1.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +34895,100%,Estonia,16.0,t +38497,100%,Tunisia,1.0,f +25222,80%,Kenya,11.0,t +23136,,Afghanistan,2.0,t +25821,100%,Russian Federation,2.0,f +8770,100%,El Salvador,3.0,f +8829,,,1.0,f +34569,100%,Malawi,2.0,t +28214,100%,,1.0,f +29647,100%,Peru,1305.0,f +9802,,Indonesia,38.0,t +17764,,Ecuador,1.0,f +26694,100%,,1.0,f +37251,100%,Bahrain,1.0,t +48729,,Gambia,1.0,t +33608,,United Kingdom,1.0,f +25721,,Lebanon,1.0,f +36100,100%,Rwanda,17.0,t +9874,100%,Montserrat,4.0,t +14822,,Chile,1.0,f +29647,100%,Peru,1305.0,f +2524,100%,Costa Rica,4.0,t +15585,,,1.0,f +2456,,Faroe Islands,2.0,f +29647,100%,Peru,1305.0,f +43152,100%,Nicaragua,82.0,t +37639,100%,Nauru,11.0,f +36283,,Congo,1.0,t +29647,100%,Peru,1305.0,f +16465,,Greenland,1.0,f +8840,,Senegal,2.0,f +34928,100%,Ecuador,4.0,f +24632,100%,Croatia,4.0,t +16833,100%,Niue,1.0,f +31253,,Pakistan,2.0,f +24118,98%,Ghana,21.0,t +38257,100%,Svalbard & Jan Mayen Islands,1.0,f +9802,,Indonesia,38.0,t +14608,,,1.0,t +24118,98%,Ghana,21.0,t +14613,,Guinea,1.0,f +28212,,,1.0,f +26834,,Venezuela,1.0,f +2191,,,2.0,f +16345,,Micronesia,1.0,f +19381,,,1.0,f +18605,,,1.0,f +30985,100%,Uzbekistan,5.0,f +27152,100%,Kenya,4.0,f +40979,,Afghanistan,3.0,t +7584,,Montserrat,2.0,f +33821,,Djibouti,1.0,f +24936,,Marshall Islands,1.0,f +16698,100%,United Kingdom,9.0,f +16698,100%,United Kingdom,9.0,f +16698,100%,United Kingdom,9.0,f +16698,100%,United Kingdom,9.0,f +33585,,Malawi,2.0,f +4920,98%,Estonia,8.0,f +4920,98%,Estonia,8.0,f +10202,89%,Nicaragua,10.0,f +24634,100%,Guinea,20.0,t +28828,100%,Isle of Man,198.0,t +35147,95%,Mauritania,5.0,t +17561,,,1.0,f +36335,,,1.0,f +23178,,,1.0,f +34895,100%,Estonia,16.0,t +49043,100%,Micronesia,4.0,t +45577,,Kenya,1.0,t +8718,100%,Gambia,1.0,t +12451,100%,Nauru,4.0,t +27907,100%,Puerto Rico,21.0,f +37676,90%,Congo,7.0,t +6393,,,1.0,f +19110,,Maldives,1.0,f +40177,100%,,13.0,f +47068,,Tunisia,1.0,f +37855,100%,Maldives,1.0,t +36276,,Brazil,1.0,f +1950,100%,,1.0,f +11599,75%,,4.0,f +40177,100%,,13.0,f +5831,,,1.0,t +28501,,Congo,1.0,f +17888,100%,,1.0,f +4196,,,1.0,f +21378,,,1.0,f +27322,100%,Mexico,1.0,f +48318,,French Guiana,2.0,t +46268,,,1.0,f +48052,,Gibraltar,1.0,f +10243,100%,,1.0,f +43182,,Uzbekistan,1.0,f +40177,100%,,13.0,f +23117,82%,,33.0,f +1245,,Kiribati,1.0,t +39068,100%,Djibouti,6.0,t +3589,,,1.0,f +37005,,France,1.0,t +11050,,Gambia,1.0,f +37977,,Maldives,1.0,t +21877,100%,Cook Islands,7.0,f +4444,60%,,1.0,t +4792,100%,Jersey,4.0,t +4762,100%,,1.0,f +38881,100%,Uzbekistan,3.0,t +44009,,,3.0,f +49274,100%,,2.0,f +32742,100%,Nicaragua,3.0,t +47795,100%,Wallis and Futuna,4.0,f +5857,,Maldives,2.0,f +43209,,,1.0,t +45936,0%,,1.0,f +8682,,France,2.0,f +19441,90%,Niue,2.0,f +24895,100%,,1.0,f +22534,,Afghanistan,1.0,f +9687,,Anguilla,1.0,f +3105,,,1.0,t +40177,100%,,13.0,f +10857,100%,Niue,1.0,f +13647,100%,,3.0,f +44072,100%,,1.0,t +9032,88%,,3.0,t +45531,100%,Lithuania,2.0,f +49001,,,1.0,t +35201,100%,Mexico,2.0,f +39188,100%,Estonia,1.0,t +13093,,,1.0,t +37969,80%,Indonesia,3.0,f +43496,100%,Montserrat,18.0,t +47500,100%,Turkmenistan,1.0,f +25563,,Djibouti,1.0,f +4595,,Sao Tome and Principe,2.0,f +40897,78%,Tanzania,1.0,f +7300,100%,,2.0,f +40177,100%,,13.0,f +30986,100%,Niger,1.0,f +40177,100%,,13.0,f +1384,90%,Ecuador,2.0,t +10711,93%,Uganda,108.0,t +2370,,Lithuania,1.0,f +12964,,,1.0,f +37408,91%,Papua New Guinea,5.0,t +11774,100%,Russian Federation,2.0,f +9533,,Senegal,16.0,t +3340,100%,Indonesia,6.0,t +35092,,Afghanistan,3.0,f +43393,100%,,1.0,f +44218,100%,Kiribati,3.0,f +3814,,Isle of Man,3.0,f +4471,67%,,2.0,f +2233,,,1.0,f +7883,,,1.0,f +12380,,Senegal,1.0,f +22982,100%,,1.0,t +35877,100%,,1.0,f +12033,,Congo,1.0,f +13713,100%,,1.0,f +5057,100%,Zimbabwe,23.0,t +27110,100%,United Kingdom,3.0,f +46937,,,1.0,f +41356,,Micronesia,1.0,f +5057,100%,Zimbabwe,23.0,t +5057,100%,Zimbabwe,23.0,t +34644,,Nicaragua,1.0,f +23283,,Zimbabwe,1.0,f +30777,,Malta,2.0,t +48217,75%,Wallis and Futuna,2.0,t +28764,67%,,2.0,t +37220,100%,Senegal,1.0,t +15588,,,1.0,f +41351,0%,Denmark,1.0,f +37673,,,1.0,t +49019,78%,French Guiana,1.0,f +12709,100%,,2.0,t +24292,,Lebanon,1.0,f +1480,,,1.0,t +21770,,Venezuela,2.0,f +13848,,Gambia,1.0,t +25734,78%,Bosnia and Herzegovina,1.0,f +8663,,Russian Federation,1.0,f +22825,,,1.0,f +25295,100%,Slovakia (Slovak Republic),3.0,t +26305,80%,Kiribati,2.0,f +15168,100%,Venezuela,2.0,f +5467,,,1.0,f +5171,100%,Anguilla,2.0,f +16598,90%,,1.0,f +3013,,,1.0,t +5171,100%,Anguilla,2.0,f +10821,100%,Holy See (Vatican City State),1.0,f +13138,100%,Faroe Islands,2.0,t +21770,,Venezuela,2.0,f +13736,,,1.0,f +48488,,Rwanda,1.0,t +18472,,Monaco,1.0,f +553,,Denmark,1.0,t +44997,100%,Saint Helena,5.0,f +36390,100%,Croatia,1.0,f +28344,,,1.0,t +10249,,,1.0,f +1198,80%,Micronesia,1.0,f +32708,100%,Sao Tome and Principe,2.0,f +13013,100%,Tonga,3.0,t +20893,80%,,1.0,f +541,93%,Marshall Islands,17.0,f +29858,100%,,2.0,t +29858,100%,,2.0,t +34014,100%,,1.0,t +38749,,,2.0,f +13013,100%,Tonga,3.0,t +13013,100%,Tonga,3.0,t +724,100%,Zimbabwe,8.0,f +724,100%,Zimbabwe,8.0,f +2946,100%,Zimbabwe,1.0,f +724,100%,Zimbabwe,8.0,f +35603,,,2.0,f +45890,100%,,1.0,f +16159,90%,Maldives,2.0,f +20606,100%,Congo,6.0,t +13403,96%,Maldives,21.0,t +11623,100%,Chad,1.0,f +3729,,,2.0,f +37681,100%,,1.0,t +7407,,,7.0,t +48015,,Reunion,1.0,f +2083,0%,,1.0,f +12284,,Brazil,1.0,f +39639,100%,Niue,19.0,f +8245,100%,Isle of Man,3.0,t +8331,70%,Uganda,2.0,f +33600,100%,Gambia,1.0,t +2699,,Niger,1.0,f +30876,50%,,1.0,t +28933,,Chad,3.0,t +16576,,Brazil,1.0,f +38149,100%,Niger,12.0,f +18459,100%,Zimbabwe,100.0,f +24842,100%,Jersey,4.0,t +12095,100%,Kenya,1.0,f +18459,100%,Zimbabwe,100.0,f +8597,100%,Micronesia,3.0,f +18459,100%,Zimbabwe,100.0,f +26541,100%,Nicaragua,12.0,f +26541,100%,Nicaragua,12.0,f +26541,100%,Nicaragua,12.0,f +18459,100%,Zimbabwe,100.0,f +5591,99%,Indonesia,16.0,t +35018,100%,Nicaragua,10.0,f +18982,25%,El Salvador,1.0,f +38534,100%,Maldives,1.0,f +7934,,Isle of Man,1.0,f +40689,100%,Cuba,23.0,f +20058,,Sao Tome and Principe,1.0,f +12351,,Niue,3.0,f +10472,100%,Zimbabwe,2.0,f +47498,,Mauritania,2.0,t +16489,100%,Russian Federation,42.0,t +13748,,Lithuania,1.0,f +8808,,,1.0,f +35112,60%,,1.0,f +48205,100%,,1.0,t +18582,50%,Brazil,1.0,f +21981,,,1.0,t +8225,95%,Barbados,31.0,f +33081,,,1.0,t +30891,100%,Gambia,2.0,f +12273,,,1.0,t +47718,,Uzbekistan,1.0,t +22627,100%,Costa Rica,2.0,t +26635,0%,Tanzania,1.0,f +18056,,Peru,1.0,f +34636,90%,Isle of Man,1.0,t +1828,100%,Nauru,1.0,f +7482,,,1.0,t +30291,,Lebanon,1.0,f +19222,100%,Micronesia,1.0,f +1318,100%,,1.0,t +37954,,El Salvador,1.0,f +12003,100%,Uganda,8.0,t +22035,100%,Malawi,2.0,t +13832,100%,Micronesia,1.0,f +34895,100%,Estonia,16.0,t +49640,100%,,2.0,t +29791,,,4.0,f +537,100%,,1.0,t +48794,75%,,1.0,f +35018,100%,Nicaragua,10.0,f +35018,100%,Nicaragua,10.0,f +25351,100%,Fiji,6.0,f +20334,99%,Niger,171.0,t +2100,100%,Kenya,1.0,f +25777,,Bouvet Island (Bouvetoya),3.0,t +43018,100%,,1.0,f +30097,90%,Tunisia,2.0,f +46921,100%,,1.0,f +25777,,Bouvet Island (Bouvetoya),3.0,t +38023,100%,Barbados,1.0,f +13434,100%,,1.0,f +18247,95%,Iran,80.0,t +17937,100%,Sao Tome and Principe,2.0,f +39128,,French Guiana,1.0,f +34398,100%,,3.0,t +31473,,Chile,1.0,f +13836,,Ecuador,3.0,t +25442,,French Polynesia,1.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +12715,100%,Estonia,29.0,f +48723,,Philippines,1.0,f +21928,100%,French Guiana,1.0,t +14353,,Zimbabwe,1.0,f +7975,,Sao Tome and Principe,1.0,f +17739,,,1.0,f +23117,82%,,33.0,f +18247,95%,Iran,80.0,t +20153,96%,Reunion,51.0,f +40959,100%,Russian Federation,2.0,f +38832,97%,,15.0,f +18093,100%,Niue,1.0,f +38832,97%,,15.0,f +47348,,Guinea,1.0,t +11541,100%,Isle of Man,1.0,f +43888,100%,Brazil,3.0,t +37340,,Gibraltar,1.0,f +94,,Micronesia,1.0,f +28566,78%,Slovakia (Slovak Republic),79.0,t +40186,,,1.0,t +12705,,,1.0,t +12245,,French Guiana,1.0,t +47855,,,1.0,f +33837,,Nicaragua,2.0,t +27778,70%,Philippines,1.0,f +28312,100%,Lebanon,2.0,t +21428,,Maldives,1.0,t +42377,100%,Marshall Islands,2.0,f +18757,100%,Indonesia,1.0,f +36643,98%,Maldives,17.0,f +22957,100%,Kiribati,3.0,f +47604,95%,Uzbekistan,4.0,t +43539,,Kiribati,1.0,f +22865,,,1.0,f +35258,100%,Puerto Rico,1.0,f +6349,100%,,1.0,t +421,,Turkmenistan,1.0,f +528,,,2.0,t +30854,100%,Kiribati,1.0,f +35802,,Monaco,1.0,f +13281,,,1.0,f +47323,50%,Turks and Caicos Islands,7.0,f +46086,,,2.0,f +29868,,,1.0,f +47323,50%,Turks and Caicos Islands,7.0,f +47323,50%,Turks and Caicos Islands,7.0,f +37169,100%,Jersey,2.0,f +47085,100%,Sao Tome and Principe,1.0,f +4385,100%,Bosnia and Herzegovina,1.0,f +24693,75%,Nicaragua,3.0,f +35763,100%,,1.0,f +16947,,Chile,2.0,f +38827,,,1.0,f +3745,,Congo,1.0,f +23911,,Vanuatu,1.0,t +36472,100%,Nicaragua,1.0,f +8008,100%,Brazil,1.0,f +30205,100%,,1.0,f +28649,100%,Uzbekistan,1.0,f +20722,100%,Isle of Man,1.0,f +40805,90%,Uzbekistan,2.0,f +49893,,Russian Federation,1.0,f +31128,100%,Montserrat,2.0,t +29647,100%,Peru,1305.0,f +13809,100%,,1.0,t +1775,100%,Denmark,2.0,f +9363,95%,Ukraine,50.0,f +2426,,,1.0,f +35473,100%,Pakistan,2.0,f +23749,,,1.0,f +45138,79%,Barbados,14.0,f +45138,79%,Barbados,14.0,f +45138,79%,Barbados,14.0,f +40421,96%,Jersey,29.0,t +24360,,,1.0,f +23992,100%,France,1.0,f +43663,,Kenya,1.0,f +23534,100%,Maldives,2.0,f +29647,100%,Peru,1305.0,f +7935,,Uzbekistan,1.0,f +49876,,Kiribati,1.0,f +27972,94%,Brazil,27.0,f +40001,,Gibraltar,1.0,f +35223,100%,Guinea,4.0,t +29809,100%,,3.0,f +15969,80%,France,3.0,t +14105,,Uzbekistan,1.0,f +10467,100%,Nicaragua,4.0,f +32400,,,1.0,f +26671,100%,,2.0,f +16159,90%,Maldives,2.0,f +21672,,Suriname,2.0,f +47066,100%,Denmark,1.0,t +11136,100%,,1.0,f +1958,,Guernsey,2.0,f +48585,100%,Kiribati,8.0,f +45417,100%,Uzbekistan,1.0,f +19855,100%,Kiribati,37.0,t +46099,98%,Uzbekistan,28.0,f +6686,100%,,1.0,t +30873,,,1.0,f +48068,100%,,4.0,f +33715,,Guinea,1.0,f +32097,100%,Denmark,5.0,f +20926,,Sao Tome and Principe,1.0,f +44537,100%,Tonga,7.0,f +23014,0%,,1.0,f +15309,,,1.0,t +16004,33%,Kenya,1.0,t +11349,0%,Venezuela,1.0,f +37605,,,4.0,f +18363,,,1.0,f +13061,100%,,1.0,f +25564,100%,,2.0,f +21021,,Lebanon,1.0,f +22331,99%,Rwanda,50.0,t +34846,,,1.0,f +26982,,Gambia,1.0,f +40688,100%,Holy See (Vatican City State),3.0,t +29647,100%,Peru,1305.0,f +46628,100%,,2.0,t +29647,100%,Peru,1305.0,f +14630,,,1.0,t +6838,96%,Spain,59.0,t +18639,100%,Tonga,1.0,f +541,93%,Marshall Islands,17.0,f +49182,83%,Tunisia,2.0,t +32410,100%,United Kingdom,5.0,f +12666,100%,United Kingdom,2.0,f +39356,100%,Malta,2.0,t +29647,100%,Peru,1305.0,f +21897,90%,,3.0,f +24921,80%,El Salvador,2.0,f +47532,100%,,1.0,f +22544,100%,Holy See (Vatican City State),6.0,t +46099,98%,Uzbekistan,28.0,f +5292,,Mauritania,1.0,t +43947,100%,Greenland,1.0,f +45009,,,1.0,f +25106,,Costa Rica,2.0,t +10678,,,1.0,f +36355,89%,Rwanda,2.0,f +26109,100%,Portugal,2.0,f +35731,,,1.0,f +21773,100%,Papua New Guinea,2.0,f +9802,,Indonesia,38.0,t +40246,,Gibraltar,1.0,f +36005,,Marshall Islands,1.0,f +9500,100%,El Salvador,1.0,f +33880,84%,Barbados,18.0,f +48478,100%,Marshall Islands,1.0,t +7898,100%,Saint Helena,1.0,f +45806,100%,,1.0,f +32780,,,1.0,f +15189,79%,China,21.0,f +34841,100%,Zimbabwe,22.0,t +10017,,Kiribati,1.0,t +12918,100%,China,9.0,f +23908,100%,Vanuatu,1.0,f +43877,,Chad,1.0,t +22343,,Jersey,1.0,t +18188,100%,,1.0,t +9563,,Russian Federation,1.0,t +40844,100%,,1.0,f +26927,100%,,1.0,f +2333,,,1.0,f +26892,100%,Togo,12.0,t +16139,,,2.0,f +46025,,,1.0,f +46031,,,1.0,t +16413,100%,,1.0,t +20052,,Uzbekistan,1.0,f +34345,100%,Niger,3.0,f +21853,100%,El Salvador,1.0,t +37467,,Chile,1.0,f +14206,,Sao Tome and Principe,1.0,f +29235,100%,Malta,6.0,f +25586,,Croatia,1.0,f +15004,100%,Uzbekistan,88.0,f +6889,100%,Anguilla,1.0,t +16489,100%,Russian Federation,42.0,t +42239,100%,Ghana,2.0,f +28961,,Vietnam,3.0,f +21319,25%,,1.0,f +48893,,Estonia,1.0,t +13531,100%,,1.0,f +2197,,,1.0,f +41878,91%,Maldives,47.0,f +25962,,Gibraltar,2.0,f +564,0%,Guinea,1.0,f +4876,,Senegal,9.0,f +17691,90%,Zimbabwe,4.0,t +9533,,Senegal,16.0,t +7214,100%,South Georgia and the South Sandwich Islands,5.0,f +18629,100%,Sao Tome and Principe,3.0,f +9084,100%,,2.0,f +24852,100%,Wallis and Futuna,3.0,f +36124,,Vanuatu,1.0,f +46118,100%,Nicaragua,11.0,f +17775,100%,Turkmenistan,1.0,f +30435,99%,Cape Verde,41.0,f +27237,100%,Malta,2.0,t +4446,100%,Uganda,58.0,f +16637,100%,,1.0,f +43093,,Niue,1.0,f +47833,,,1.0,f +5888,,Afghanistan,1.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +7843,100%,,1.0,f +4459,100%,Guinea,1.0,t +26671,100%,,2.0,f +9068,100%,,1.0,f +37075,,,1.0,f +16895,,Indonesia,4.0,f +10320,92%,Tonga,10.0,f +39242,,,1.0,t +19320,,,1.0,f +20672,,Niue,1.0,f +9363,95%,Ukraine,50.0,f +21046,100%,Lebanon,1.0,t +29333,,Croatia,1.0,t +22604,100%,Saint Helena,2.0,t +41252,,,1.0,f +40486,,Sao Tome and Principe,2.0,t +44187,90%,,1.0,f +48427,80%,Micronesia,1.0,t +37257,100%,Rwanda,2.0,f +13620,100%,Cape Verde,1.0,f +15413,80%,Vanuatu,7.0,t +40485,0%,,1.0,f +28986,,,1.0,f +41033,,Zimbabwe,1.0,f +4228,,Niger,11.0,f +32410,100%,United Kingdom,5.0,f +41602,100%,Zimbabwe,1.0,f +48054,,,1.0,f +32410,100%,United Kingdom,5.0,f +23471,100%,,1.0,t +546,100%,Uganda,4.0,f +32410,100%,United Kingdom,5.0,f +35962,,Mexico,1.0,f +33408,100%,Tonga,6.0,f +21466,,,1.0,f +41152,,,1.0,f +18648,,,1.0,f +44649,100%,Portugal,3.0,t +10048,100%,Micronesia,1.0,f +4733,,Anguilla,1.0,f +1063,100%,Papua New Guinea,4.0,f +44956,100%,Gambia,3.0,t +40880,,,1.0,t +8021,100%,El Salvador,2.0,f +39006,100%,Holy See (Vatican City State),1.0,f +49134,100%,Tunisia,1.0,f +30643,,Russian Federation,1.0,f +6074,100%,,2.0,f +27324,100%,Guinea,1.0,t +38252,100%,Rwanda,1.0,f +26890,,Lebanon,2.0,f +10337,,Anguilla,1.0,f +12754,,Cocos (Keeling) Islands,1.0,f +22251,100%,Gambia,11.0,f +28828,100%,Isle of Man,198.0,t +44492,100%,,2.0,f +33256,100%,Mauritania,1.0,t +36404,,,1.0,f +24492,,Niue,1.0,t +15004,100%,Uzbekistan,88.0,f +23162,,Uzbekistan,2.0,t +32900,,Niue,2.0,f +11579,100%,Mauritania,3.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +13167,100%,Micronesia,1.0,f +15004,100%,Uzbekistan,88.0,f +16489,100%,Russian Federation,42.0,t +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +48585,100%,Kiribati,8.0,f +49076,97%,Kenya,12.0,t +13878,,Lebanon,1.0,f +27446,,,2.0,t +23941,,Vanuatu,1.0,f +15004,100%,Uzbekistan,88.0,f +42103,100%,Russian Federation,2.0,f +17540,,Guinea,1.0,f +45510,100%,Marshall Islands,2.0,f +22244,100%,Finland,6.0,t +26324,100%,Cape Verde,1.0,f +18851,100%,Russian Federation,1.0,t +37408,91%,Papua New Guinea,5.0,t +8778,100%,Somalia,1.0,t +8223,100%,El Salvador,2.0,t +33233,,,1.0,t +7971,100%,Malta,3.0,f +28046,100%,Cape Verde,5.0,f +16267,100%,Montserrat,1.0,f +31158,99%,Suriname,11.0,f +26892,100%,Togo,12.0,t +25820,,Anguilla,1.0,f +6866,100%,Ghana,2.0,f +16921,100%,Malta,1.0,f +17623,,French Guiana,1.0,f +48140,,,1.0,f +47816,100%,,1.0,f +39016,,Costa Rica,1.0,f +23961,,Russian Federation,1.0,t +40023,100%,Uganda,6.0,t +611,86%,Montserrat,7.0,f +611,86%,Montserrat,7.0,f +19001,100%,,1.0,f +47612,,,1.0,f +40023,100%,Uganda,6.0,t +8458,100%,El Salvador,2.0,f +15808,,,1.0,f +30425,,Micronesia,1.0,f +26892,100%,Togo,12.0,t +39068,100%,Djibouti,6.0,t +3153,,Barbados,1.0,f +24772,90%,Denmark,10.0,f +43345,,Turkmenistan,1.0,f +39060,100%,Kiribati,3.0,f +26892,100%,Togo,12.0,t +37999,100%,Senegal,20.0,t +14609,100%,,1.0,f +44725,100%,Slovakia (Slovak Republic),4.0,t +49732,,,1.0,f +34587,,Isle of Man,22.0,t +23232,,,1.0,f +47409,100%,Niue,3.0,t +17527,100%,,2.0,t +34174,50%,,1.0,f +28052,,,2.0,f +43427,100%,Niue,1.0,f +15107,,,1.0,t +34780,,Guinea,1.0,f +44,,Sao Tome and Principe,1.0,f +11,,,1.0,t +27964,,Russian Federation,1.0,f +44453,,,1.0,f +27521,,Chile,2.0,t +41472,,,1.0,t +22727,100%,,1.0,t +37605,,,4.0,f +6938,100%,,2.0,f +34647,,,1.0,f +21393,100%,Uzbekistan,1.0,f +36891,,Mauritania,1.0,f +38266,,Zimbabwe,1.0,t +23162,,Uzbekistan,2.0,t +47409,100%,Niue,3.0,t +20153,96%,Reunion,51.0,f +8295,100%,,2.0,f +24026,98%,Cape Verde,69.0,t +15141,,,1.0,f +16215,100%,Nauru,1.0,f +33883,,,3.0,t +16675,,,1.0,f +35092,,Afghanistan,3.0,f +35092,,Afghanistan,3.0,f +49244,100%,Bosnia and Herzegovina,1.0,t +38539,100%,,1.0,f +10807,100%,Indonesia,2.0,f +35782,,Turkmenistan,1.0,t +11085,,Malta,1.0,t +5414,100%,,1.0,t +40961,100%,Venezuela,1.0,f +33979,83%,Reunion,4.0,f +9802,,Indonesia,38.0,t +18255,100%,Marshall Islands,3.0,f +35953,,,1.0,f +41764,,,1.0,t +35794,,Tonga,1.0,f +34162,,,2.0,f +3307,100%,,2.0,t +2061,100%,Isle of Man,1.0,f +6622,,France,1.0,f +2518,33%,Lebanon,1.0,f +8230,,Puerto Rico,2.0,f +31724,100%,Bouvet Island (Bouvetoya),1.0,f +38423,100%,Niue,5.0,t +1279,100%,,5.0,f +36499,75%,Anguilla,25.0,t +320,,,1.0,f +42995,,Greenland,1.0,t +45385,,,2.0,f +43203,100%,,2.0,f +36340,,Marshall Islands,1.0,f +29038,,,1.0,t +6303,,,1.0,f +47073,100%,,1.0,f +8369,,,1.0,t +38232,,,3.0,t +36499,75%,Anguilla,25.0,t +32591,100%,,1.0,f +46740,,Mauritania,2.0,f +1791,,Rwanda,1.0,f +17448,100%,Somalia,2.0,f +8172,,Bouvet Island (Bouvetoya),1.0,f +36499,75%,Anguilla,25.0,t +8597,100%,Micronesia,3.0,f +19811,90%,Nicaragua,21.0,t +8597,100%,Micronesia,3.0,f +19422,,Nicaragua,1.0,f +32,,Guinea,1.0,f +3270,,Brunei Darussalam,1.0,f +27774,78%,Vietnam,15.0,f +27774,78%,Vietnam,15.0,f +27774,78%,Vietnam,15.0,f +27774,78%,Vietnam,15.0,f +11786,,United Kingdom,1.0,f +3533,,,1.0,f +33209,,El Salvador,1.0,f +18280,,,1.0,f +23599,100%,Marshall Islands,1.0,f +9206,,Sao Tome and Principe,1.0,f +22422,100%,Slovakia (Slovak Republic),2.0,f +21451,100%,,2.0,f +10320,92%,Tonga,10.0,f +33198,100%,Mauritania,12.0,f +32203,100%,Barbados,176.0,f +4316,100%,Micronesia,18.0,f +10320,92%,Tonga,10.0,f +10358,,Micronesia,2.0,f +14423,100%,Micronesia,1.0,t +33101,100%,Nauru,2.0,f +36069,,Niue,2.0,f +20485,100%,China,1.0,f +10467,100%,Nicaragua,4.0,f +14464,,Lebanon,2.0,f +21231,100%,,1.0,f +44183,0%,France,2.0,f +3031,,,1.0,f +18655,,,1.0,f +32482,,,1.0,f +2597,100%,Nicaragua,13.0,t +18652,100%,,1.0,t +5837,60%,Sao Tome and Principe,2.0,f +23909,,,1.0,t +40950,,,2.0,f +3478,,,1.0,f +26366,100%,Sao Tome and Principe,2.0,f +40853,,,1.0,f +36437,100%,Niue,1.0,f +277,100%,,2.0,f +33916,100%,Svalbard & Jan Mayen Islands,3.0,f +17441,100%,,6.0,t +21741,90%,Marshall Islands,2.0,t +22322,100%,Micronesia,2.0,f +22070,100%,,1.0,f +24912,100%,Sao Tome and Principe,5.0,f +11480,,Isle of Man,2.0,f +38083,,Micronesia,1.0,f +31189,100%,,2.0,f +18647,,Sao Tome and Principe,1.0,f +8015,100%,Denmark,1.0,t +48122,60%,,3.0,f +14137,,Isle of Man,1.0,f +7669,,Andorra,1.0,t +45606,100%,Sao Tome and Principe,2.0,f +37080,100%,Canada,1.0,f +13490,100%,French Guiana,2.0,f +48891,,,1.0,f +37432,,Papua New Guinea,1.0,f +46436,100%,Gambia,1.0,t +44857,100%,Zimbabwe,24.0,t +24449,,France,1.0,f +26915,100%,France,2.0,t +20212,100%,Mauritania,1.0,f +19536,,,2.0,f +37371,100%,,2.0,f +11460,0%,Marshall Islands,1.0,f +1063,100%,Papua New Guinea,4.0,f +9590,100%,,3.0,f +22388,100%,Tonga,2.0,f +38440,100%,,1.0,f +9516,99%,Pakistan,45.0,t +5627,,Reunion,1.0,f +6875,100%,Niue,1.0,f +4051,,Anguilla,1.0,t +40273,,,1.0,f +3157,,,1.0,f +6915,,,2.0,t +27883,100%,Cuba,11.0,f +32017,100%,,1.0,f +34890,,,1.0,f +6961,,Niue,1.0,t +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +29178,100%,Russian Federation,1.0,f +40061,100%,Micronesia,3.0,f +39656,,France,1.0,f +41588,,Brunei Darussalam,2.0,f +45924,,Guinea,1.0,f +23949,100%,Slovakia (Slovak Republic),6.0,t +47864,,,1.0,f +44082,,,1.0,f +45442,67%,,1.0,f +46812,,,1.0,t +2141,,,1.0,f +34784,60%,Faroe Islands,19.0,t +42350,100%,Bahamas,2.0,t +24238,,,1.0,f +42643,,,1.0,f +34544,,,1.0,f +37905,78%,Afghanistan,1.0,f +47052,,,1.0,f +18679,100%,Andorra,1.0,f +13752,,,1.0,f +48372,100%,Barbados,12.0,t +22861,,Tanzania,1.0,f +38978,,,1.0,f +43582,100%,,1.0,t +38806,,French Guiana,1.0,f +45416,,,1.0,f +35597,100%,Uzbekistan,2.0,f +15031,50%,Tanzania,3.0,t +3715,100%,Zimbabwe,1.0,t +31868,0%,Christmas Island,1.0,t +7232,,,1.0,f +27786,100%,,2.0,t +5141,,Nauru,1.0,f +9641,100%,Chad,1.0,f +7264,100%,Philippines,9.0,f +44034,,,1.0,f +7264,100%,Philippines,9.0,f +7264,100%,Philippines,9.0,f +6528,,United Kingdom,1.0,f +7264,100%,Philippines,9.0,f +7264,100%,Philippines,9.0,f +14931,100%,Jersey,4.0,f +9690,,Uruguay,1.0,t +5623,100%,Russian Federation,1.0,f +17364,,Puerto Rico,1.0,f +18186,,Russian Federation,1.0,f +1520,,Chad,1.0,t +41111,,,1.0,f +16608,,Ghana,1.0,f +16242,100%,Sao Tome and Principe,3.0,t +8104,100%,,4.0,f +7862,,Russian Federation,2.0,t +9590,100%,,3.0,f +10988,,,1.0,f +22940,100%,Holy See (Vatican City State),1.0,f +9590,100%,,3.0,f +26924,100%,Zimbabwe,3.0,f +24890,,Afghanistan,1.0,t +13827,,Turks and Caicos Islands,1.0,f +9032,88%,,3.0,t +164,80%,,1.0,f +5201,100%,Kenya,1.0,t +18208,,Turkmenistan,1.0,f +45339,100%,Nicaragua,1.0,f +32401,,,1.0,f +24242,97%,,5.0,f +17092,100%,Estonia,2.0,f +24242,97%,,5.0,f +3879,100%,Anguilla,6.0,f +27287,100%,,1.0,f +40835,100%,Indonesia,1.0,f +40215,88%,Niue,1.0,f +26664,,Bouvet Island (Bouvetoya),1.0,f +6816,,Svalbard & Jan Mayen Islands,1.0,t +32203,100%,Barbados,176.0,f +30099,,Russian Federation,1.0,f +43374,,Sao Tome and Principe,1.0,f +14806,,,1.0,t +25029,,,1.0,t +18629,100%,Sao Tome and Principe,3.0,f +27334,100%,China,16.0,f +12363,0%,Brazil,1.0,f +36877,,,1.0,f +31268,100%,,1.0,f +18119,,Cocos (Keeling) Islands,1.0,f +7788,,Cook Islands,3.0,t +36143,90%,Turks and Caicos Islands,4.0,f +20334,99%,Niger,171.0,t +20936,,Tonga,2.0,f +20936,,Tonga,2.0,f +18255,100%,Marshall Islands,3.0,f +35481,,Micronesia,1.0,f +46734,,Pakistan,1.0,f +37297,,,1.0,f +35015,100%,Senegal,4.0,t +41467,100%,,2.0,f +10711,93%,Uganda,108.0,t +10490,100%,Sao Tome and Principe,4.0,f +38872,100%,,2.0,f +41358,,Maldives,1.0,f +10308,,Lebanon,1.0,f +11125,100%,Nicaragua,12.0,t +35480,100%,Netherlands,1.0,f +39825,,,1.0,f +2857,100%,Montserrat,4.0,f +33251,100%,Bosnia and Herzegovina,1.0,t +8733,100%,Tonga,4.0,t +15089,,,1.0,f +42891,100%,,1.0,f +22242,100%,Estonia,1.0,f +46137,,Lebanon,2.0,t +11217,,Niue,3.0,f +38911,100%,Tonga,1.0,f +17694,100%,Isle of Man,4.0,t +35284,,,1.0,f +48848,100%,Cocos (Keeling) Islands,1.0,f +26807,,Zimbabwe,1.0,f +36277,,,1.0,f +47501,100%,Indonesia,3.0,t +22018,100%,Gibraltar,1.0,f +15354,100%,Rwanda,3.0,t +39414,86%,,1.0,t +1513,,,3.0,f +3642,90%,Bosnia and Herzegovina,2.0,t +40285,100%,,1.0,t +1101,63%,Senegal,1.0,f +40293,,Tonga,1.0,t +34361,,,1.0,t +19536,,,2.0,f +43889,100%,Lebanon,2.0,f +15756,94%,Afghanistan,2.0,t +44649,100%,Portugal,3.0,t +4847,100%,Indonesia,3.0,t +49252,57%,Holy See (Vatican City State),1.0,t +19130,100%,Peru,3.0,t +9802,,Indonesia,38.0,t +39691,,,2.0,f +10456,,Chile,1.0,t +47742,,Kenya,1.0,f +41802,,,1.0,f +30931,100%,Papua New Guinea,3.0,f +32372,90%,Ghana,5.0,f +2573,,,1.0,f +13113,0%,,1.0,t +29802,91%,Brazil,1.0,t +21174,100%,,1.0,f +12466,,Maldives,2.0,f +33064,,Uzbekistan,1.0,f +45801,,Sao Tome and Principe,2.0,t +23305,100%,Philippines,11.0,f +8882,,Niue,1.0,f +35184,,Svalbard & Jan Mayen Islands,1.0,f +24242,97%,,5.0,f +21696,67%,Bouvet Island (Bouvetoya),2.0,t +31092,,Senegal,19.0,f +36188,,Micronesia,1.0,f +40490,100%,Vanuatu,2.0,t +13553,93%,Vietnam,5.0,f +25649,,Suriname,1.0,t +12456,100%,,2.0,f +13755,,Mauritania,2.0,t +12893,,Brazil,1.0,f +10115,,El Salvador,1.0,f +9838,,San Marino,3.0,f +6713,100%,Mauritania,10.0,f +44464,100%,Montserrat,1.0,t +37114,78%,,1.0,f +22436,,Nicaragua,2.0,f +10467,100%,Nicaragua,4.0,f +9060,,,1.0,f +23190,,Micronesia,1.0,f +40024,,,1.0,f +45404,100%,Kiribati,1.0,f +16854,100%,El Salvador,2.0,t +9230,,Venezuela,1.0,f +11255,93%,Suriname,41.0,f +28551,100%,Guinea,1.0,f +31164,100%,,2.0,f +45236,,,1.0,f +42382,,Nicaragua,1.0,t +24242,97%,,5.0,f +30189,,Jersey,1.0,f +25534,90%,Indonesia,5.0,t +29477,100%,,1.0,f +30494,,Uzbekistan,1.0,f +25091,,Isle of Man,1.0,t +17963,,,1.0,f +5830,100%,China,2.0,f +49689,100%,Niger,6.0,f +45220,,Bosnia and Herzegovina,1.0,t +40827,,,1.0,f +23071,,Venezuela,1.0,t +16221,100%,El Salvador,2.0,f +8303,,French Guiana,1.0,f +21793,,Turkmenistan,1.0,f +4202,,Uzbekistan,1.0,t +24431,,Estonia,1.0,f +50045,,Guinea,1.0,f +44016,100%,Gibraltar,2.0,f +13070,100%,Fiji,45.0,f +21600,100%,Sao Tome and Principe,2.0,f +39676,86%,Guinea,2.0,f +4469,100%,Afghanistan,1.0,f +21967,100%,Cape Verde,1.0,f +47330,,,1.0,f +10986,,,1.0,f +40983,100%,Chad,4.0,f +32282,,,1.0,f +16489,100%,Russian Federation,42.0,t +47690,,Guinea,1.0,f +43079,,Uzbekistan,1.0,t +24441,100%,,1.0,f +32829,,Svalbard & Jan Mayen Islands,1.0,t +13834,,Kiribati,9.0,f +13834,,Kiribati,9.0,f +23860,100%,Turks and Caicos Islands,1.0,t +24093,88%,Ghana,5.0,f +29647,100%,Peru,1305.0,f +29978,89%,Uzbekistan,26.0,f +20789,98%,Sao Tome and Principe,13.0,f +33658,100%,,1.0,f +11255,93%,Suriname,41.0,f +45439,100%,Barbados,3.0,f +5555,100%,Denmark,11.0,t +29647,100%,Peru,1305.0,f +37641,,Gambia,1.0,f +11959,100%,Gibraltar,2.0,t +13548,,Niue,1.0,f +49379,100%,,2.0,f +39248,97%,Cuba,5.0,f +1153,,Uzbekistan,1.0,f +12388,100%,,1.0,f +39648,,Denmark,3.0,f +49391,,Tonga,1.0,f +17473,100%,Indonesia,1.0,f +14477,100%,Reunion,26.0,t +8142,100%,Gambia,4.0,t +18590,100%,Pakistan,1.0,f +21160,,El Salvador,2.0,f +34448,,Mauritania,1.0,f +13099,,Chad,1.0,f +13641,85%,Mauritania,23.0,f +44440,88%,Somalia,2.0,f +48373,100%,Christmas Island,1.0,f +7923,100%,Togo,2.0,t +11839,,Uganda,11.0,f +7376,,Guinea,2.0,t +13297,0%,,1.0,f +25103,,Jersey,1.0,f +35018,100%,Nicaragua,10.0,f +11483,100%,Lebanon,1.0,f +4402,100%,Svalbard & Jan Mayen Islands,1.0,f +16000,100%,Reunion,2.0,f +2050,,Estonia,1.0,f +17417,,Denmark,11.0,f +35705,,,1.0,f +25050,,Monaco,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +38538,100%,,5.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +24026,98%,Cape Verde,69.0,t +20935,100%,Gambia,2.0,f +26863,,Mexico,7.0,f +7765,100%,Niue,9.0,t +27013,100%,Gambia,1.0,f +14540,92%,Niue,5.0,f +17162,100%,,2.0,t +40875,,Brazil,1.0,f +44475,100%,El Salvador,1.0,f +32410,100%,United Kingdom,5.0,f +831,80%,Kiribati,3.0,f +41649,63%,United Kingdom,1.0,f +45913,100%,Niue,2.0,f +1564,100%,Indonesia,12.0,f +17480,80%,Maldives,2.0,t +20334,99%,Niger,171.0,t +39812,100%,Nicaragua,6.0,t +2227,100%,Montserrat,5.0,t +30645,,Afghanistan,1.0,f +28500,,Montserrat,1.0,t +36251,,,1.0,t +5478,,,1.0,t +18928,90%,,1.0,f +21846,,,1.0,f +25900,,Faroe Islands,1.0,f +7407,,,7.0,t +35529,,Zimbabwe,1.0,f +18562,,Nicaragua,2.0,f +22852,100%,Togo,3.0,f +29017,,Kenya,1.0,f +4230,,Isle of Man,1.0,t +33521,,Montserrat,1.0,f +31880,100%,,1.0,f +3523,,,1.0,t +15367,100%,France,2.0,f +12977,,Saint Helena,1.0,f +45606,100%,Sao Tome and Principe,2.0,f +18459,100%,Zimbabwe,100.0,f +11713,,Gambia,1.0,f +29561,,Niue,1.0,f +37823,100%,Gambia,3.0,f +2738,,Bouvet Island (Bouvetoya),1.0,f +17904,100%,Rwanda,1.0,f +24093,88%,Ghana,5.0,f +26460,,Nicaragua,1.0,f +18459,100%,Zimbabwe,100.0,f +302,100%,Tunisia,20.0,f +41416,,Somalia,1.0,f +15352,,Tonga,1.0,f +40177,100%,,13.0,f +43237,40%,Montserrat,24.0,f +33560,,Kiribati,4.0,t +43021,50%,France,1.0,t +23248,100%,Sao Tome and Principe,1.0,f +36780,,,1.0,f +17239,,Uzbekistan,1.0,f +43496,100%,Montserrat,18.0,t +32219,,,1.0,f +29235,100%,Malta,6.0,f +23816,80%,Niue,1.0,f +43496,100%,Montserrat,18.0,t +37823,100%,Gambia,3.0,f +32244,,,1.0,t +15208,,,1.0,f +302,100%,Tunisia,20.0,f +46065,100%,Ecuador,3.0,f +47765,100%,French Polynesia,1.0,f +7407,,,7.0,t +46981,100%,,1.0,t +302,100%,Tunisia,20.0,f +36857,100%,,1.0,f +6101,,Lebanon,1.0,t +19091,95%,Cook Islands,18.0,t +37363,100%,Isle of Man,1.0,f +37569,,Gambia,1.0,f +2597,100%,Nicaragua,13.0,t +7150,,,1.0,t +47501,100%,Indonesia,3.0,t +26121,67%,Marshall Islands,2.0,f +7332,100%,Ecuador,2.0,t +43075,100%,Fiji,1.0,t +40904,,Chad,2.0,f +41850,,Kiribati,3.0,f +11097,100%,El Salvador,1.0,f +46748,100%,Malta,1.0,f +7760,,Gambia,1.0,t +22232,,Rwanda,3.0,t +34041,,,1.0,f +18634,,Niue,1.0,f +33242,100%,Uzbekistan,3.0,t +40491,,Moldova,1.0,f +34212,,,1.0,f +4118,,Malta,1.0,f +14116,100%,Russian Federation,2.0,t +9794,100%,,1.0,f +29235,100%,Malta,6.0,f +44966,100%,Guinea,21.0,f +44966,100%,Guinea,21.0,f +44966,100%,Guinea,21.0,f +14808,,Niue,1.0,t +44966,100%,Guinea,21.0,f +33196,,,1.0,f +10711,93%,Uganda,108.0,t +45782,100%,,3.0,f +6310,,,1.0,f +40008,,,1.0,f +30251,100%,Brazil,3.0,f +29016,,,1.0,f +39409,,,1.0,f +44340,,,1.0,f +15923,,Denmark,1.0,f +19851,100%,Venezuela,2.0,t +11196,63%,,1.0,f +6447,,Nicaragua,2.0,f +35666,,Congo,1.0,f +13750,,Switzerland,1.0,t +6447,,Nicaragua,2.0,f +33350,,,1.0,f +35439,94%,United Kingdom,23.0,t +39648,,Denmark,3.0,f +39648,,Denmark,3.0,f +25791,100%,,2.0,f +22232,,Rwanda,3.0,t +25998,,,1.0,t +2968,100%,,1.0,f +30772,,,1.0,f +16649,100%,Gibraltar,8.0,f +3120,,Sao Tome and Principe,1.0,f +42094,,Nicaragua,1.0,f +7370,,Svalbard & Jan Mayen Islands,1.0,t +6241,100%,Jersey,2.0,f +21334,100%,Kiribati,1.0,t +22332,100%,Russian Federation,1.0,t +48457,,Chile,1.0,f +24160,100%,,3.0,t +6552,,,1.0,f +17691,90%,Zimbabwe,4.0,t +13356,100%,El Salvador,2.0,t +28181,100%,,1.0,f +32538,100%,France,1.0,t +22809,100%,Barbados,2.0,f +40489,100%,,1.0,t +23654,100%,Uzbekistan,23.0,f +46894,100%,Malawi,2.0,t +40366,97%,Micronesia,14.0,t +40366,97%,Micronesia,14.0,t +29364,,,1.0,t +40366,97%,Micronesia,14.0,t +9509,0%,Niue,1.0,f +3870,33%,,1.0,f +43020,100%,,1.0,f +32203,100%,Barbados,176.0,f +2423,0%,,2.0,f +32863,,,2.0,f +302,100%,Tunisia,20.0,f +20018,,,1.0,f +10493,91%,Lithuania,1.0,f +9838,,San Marino,3.0,f +9134,,Netherlands,1.0,f +28088,100%,,1.0,f +2769,100%,Maldives,4.0,f +23654,100%,Uzbekistan,23.0,f +22210,,Zimbabwe,1.0,f +17732,,Montserrat,1.0,f +30150,60%,,1.0,t +16006,100%,Tanzania,3.0,t +42175,100%,Turkmenistan,1.0,f +29647,100%,Peru,1305.0,f +6184,,Nicaragua,1.0,f +29740,100%,,3.0,t +30038,100%,Guernsey,1.0,t +9838,,San Marino,3.0,f +3099,50%,Niue,1.0,f +32037,100%,Niger,1.0,f +41301,100%,Costa Rica,9.0,t +11523,100%,Papua New Guinea,1.0,t +302,100%,Tunisia,20.0,f +31504,,Croatia,3.0,f +40793,100%,,75.0,t +25767,,Rwanda,1.0,f +21819,,Uzbekistan,1.0,f +17175,100%,Malta,8.0,t +302,100%,Tunisia,20.0,f +41884,100%,,2.0,t +27652,100%,El Salvador,5.0,f +23654,100%,Uzbekistan,23.0,f +31506,100%,Anguilla,1.0,t +39236,,Afghanistan,3.0,f +302,100%,Tunisia,20.0,f +25591,100%,,1.0,f +44208,100%,,1.0,f +34841,100%,Zimbabwe,22.0,t +18258,90%,Niue,2.0,f +604,,Nicaragua,1.0,f +48585,100%,Kiribati,8.0,f +806,90%,Rwanda,2.0,t +47992,100%,,1.0,f +14134,,Isle of Man,1.0,f +302,100%,Tunisia,20.0,f +44210,95%,,3.0,f +28047,100%,Uzbekistan,4.0,f +34181,,,1.0,f +48585,100%,Kiribati,8.0,f +32139,,Gambia,1.0,f +8438,62%,Nicaragua,9.0,t +16355,100%,,1.0,f +729,100%,Saint Helena,3.0,f +6682,100%,United Kingdom,1.0,f +302,100%,Tunisia,20.0,f +729,100%,Saint Helena,3.0,f +48585,100%,Kiribati,8.0,f +26780,100%,Guinea,7.0,f +302,100%,Tunisia,20.0,f +8230,,Puerto Rico,2.0,f +13234,,Niue,2.0,f +13234,,Niue,2.0,f +43731,100%,,1.0,t +1277,100%,Turkmenistan,1.0,t +36658,94%,China,20.0,t +8729,89%,Svalbard & Jan Mayen Islands,1.0,f +7349,70%,Djibouti,4.0,f +34042,100%,Marshall Islands,37.0,f +45238,,,1.0,t +38784,100%,Pakistan,3.0,f +3346,,,2.0,t +28047,100%,Uzbekistan,4.0,f +4892,,Lebanon,1.0,t +29881,0%,Zimbabwe,3.0,t +8468,,,1.0,t +31504,,Croatia,3.0,f +18459,100%,Zimbabwe,100.0,f +26751,100%,Jersey,1.0,f +40169,,Marshall Islands,1.0,t +24093,88%,Ghana,5.0,f +35304,100%,Tonga,12.0,t +10208,,Tunisia,1.0,f +20334,99%,Niger,171.0,t +25934,100%,Estonia,7.0,f +16312,100%,Kiribati,11.0,f +21525,,Vanuatu,1.0,t +2597,100%,Nicaragua,13.0,t +37139,,,1.0,f +49731,,,1.0,f +18459,100%,Zimbabwe,100.0,f +1961,100%,,1.0,f +37502,100%,Croatia,6.0,t +46636,,,1.0,t +28106,100%,Uganda,2.0,f +28671,100%,Malawi,2.0,f +13338,,Gambia,1.0,f +30251,100%,Brazil,3.0,f +43575,100%,,1.0,f +28106,100%,Uganda,2.0,f +13023,,,1.0,f +14648,100%,,1.0,f +19924,,,1.0,f +49681,,France,2.0,f +17238,,,1.0,f +24960,,Micronesia,1.0,t +12479,,,1.0,t +37046,0%,Turks and Caicos Islands,1.0,f +38335,79%,Guinea,11.0,f +4140,,,3.0,f +15967,,Rwanda,1.0,f +31989,,Russian Federation,1.0,f +19723,85%,Reunion,2.0,f +17121,,,1.0,f +2450,,,1.0,f +35335,0%,Jersey,1.0,f +23030,100%,Greenland,2.0,f +4876,,Senegal,9.0,f +49887,,Lebanon,1.0,f +26862,100%,Chad,3.0,t +48321,100%,China,17.0,f +43203,100%,,2.0,f +17148,100%,Vanuatu,2.0,f +28581,100%,Sao Tome and Principe,2.0,f +17441,100%,,6.0,t +35026,,Estonia,7.0,f +17394,0%,Nicaragua,49.0,f +32429,,Gambia,9.0,f +478,100%,Holy See (Vatican City State),1.0,f +28086,,Slovakia (Slovak Republic),2.0,f +13085,100%,Guinea,1.0,t +19943,63%,Isle of Man,34.0,f +35026,,Estonia,7.0,f +22823,100%,Somalia,1.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +29123,100%,Zimbabwe,16.0,t +23998,,,1.0,f +20112,,Zimbabwe,1.0,t +29290,100%,Guinea,1.0,f +19075,,,1.0,f +33976,100%,Russian Federation,1.0,t +27334,100%,China,16.0,f +42107,,Fiji,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +33164,60%,Togo,6.0,f +24029,100%,,1.0,f +24496,,,1.0,f +6605,70%,,1.0,f +4334,,Estonia,1.0,f +40999,100%,Chile,2.0,f +19869,,Uzbekistan,1.0,f +45455,,Micronesia,1.0,f +3117,,,2.0,f +23430,100%,Reunion,16.0,f +650,,,1.0,t +5675,100%,Lebanon,2.0,f +35647,100%,Malawi,1.0,f +3117,,,2.0,f +26266,,,1.0,f +17374,,,1.0,f +27058,100%,Kenya,1.0,f +28414,100%,Uzbekistan,22.0,f +15518,100%,French Guiana,2.0,t +45867,100%,Finland,2.0,f +10736,,Turks and Caicos Islands,2.0,f +8683,,Guinea,1.0,f +40366,97%,Micronesia,14.0,t +729,100%,Saint Helena,3.0,f +8982,,Mauritania,1.0,f +17527,100%,,2.0,t +8159,100%,Micronesia,3.0,f +28244,80%,,4.0,f +21413,,,1.0,t +5324,80%,,1.0,f +5735,,Turkmenistan,1.0,t +48321,100%,China,17.0,f +48854,,Kiribati,3.0,f +35439,94%,United Kingdom,23.0,t +2943,91%,Fiji,6.0,f +4134,,Niue,1.0,f +48321,100%,China,17.0,f +23805,,,1.0,f +48509,,,1.0,t +28800,,Philippines,1.0,f +16922,100%,,2.0,t +15128,70%,,1.0,f +24877,,,1.0,t +17480,80%,Maldives,2.0,t +27907,100%,Puerto Rico,21.0,f +33633,100%,China,8.0,f +1564,100%,Indonesia,12.0,f +12918,100%,China,9.0,f +1564,100%,Indonesia,12.0,f +37689,,Bouvet Island (Bouvetoya),1.0,f +37808,,Zimbabwe,2.0,f +19217,98%,Marshall Islands,46.0,f +8728,100%,Ecuador,1.0,f +40207,100%,,2.0,t +34042,100%,Marshall Islands,37.0,f +49635,,,1.0,t +10080,100%,Isle of Man,2.0,t +41708,,,1.0,t +5715,100%,Tonga,1.0,f +2423,0%,,2.0,f +17578,,Vietnam,2.0,t +10711,93%,Uganda,108.0,t +25691,100%,Mexico,1.0,f +32203,100%,Barbados,176.0,f +21558,,Kenya,1.0,f +46381,100%,,2.0,f +38516,95%,Pakistan,9.0,f +7834,94%,Mexico,13.0,f +20517,,Kenya,1.0,f +29270,,China,1.0,f +26109,100%,Portugal,2.0,f +45181,,Ecuador,1.0,t +12897,,,1.0,f +46492,,Anguilla,1.0,f +10736,,Turks and Caicos Islands,2.0,f +25962,,Gibraltar,2.0,f +11839,,Uganda,11.0,f +28540,100%,Vanuatu,12.0,f +38531,,,1.0,t +28540,100%,Vanuatu,12.0,f +28540,100%,Vanuatu,12.0,f +7870,100%,,1.0,t +28540,100%,Vanuatu,12.0,f +48321,100%,China,17.0,f +48321,100%,China,17.0,f +48321,100%,China,17.0,f +48321,100%,China,17.0,f +48321,100%,China,17.0,f +48321,100%,China,17.0,f +31504,,Croatia,3.0,f +48321,100%,China,17.0,f +48321,100%,China,17.0,f +28828,100%,Isle of Man,198.0,t +6716,90%,,1.0,f +48321,100%,China,17.0,f +32203,100%,Barbados,176.0,f +10111,,Anguilla,1.0,f +24250,100%,,1.0,f +44410,100%,Maldives,1.0,t +18459,100%,Zimbabwe,100.0,f +4662,100%,Somalia,1.0,t +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +29961,100%,Montserrat,1.0,f +31674,,Nicaragua,1.0,f +18459,100%,Zimbabwe,100.0,f +17394,0%,Nicaragua,49.0,f +48032,,Niue,1.0,f +15690,,,1.0,f +34061,,Malta,1.0,f +1377,100%,Tonga,3.0,f +37786,,Estonia,1.0,f +8988,,Togo,1.0,f +41103,,Lithuania,2.0,f +44714,,Ghana,4.0,f +2364,100%,China,2.0,t +9552,100%,,1.0,t +29647,100%,Peru,1305.0,f +38335,79%,Guinea,11.0,f +18459,100%,Zimbabwe,100.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +23618,,Senegal,2.0,f +27597,100%,Portugal,7.0,t +26752,100%,United Kingdom,2.0,f +20056,100%,Denmark,6.0,f +25504,,Papua New Guinea,1.0,t +11814,100%,Micronesia,7.0,t +19510,,Mauritania,1.0,f +27213,99%,Jersey,7.0,t +12972,,Tonga,1.0,f +13089,100%,Russian Federation,1.0,t +46003,100%,Russian Federation,1.0,f +22625,100%,Nicaragua,3.0,t +24160,100%,,3.0,t +38832,97%,,15.0,f +14138,100%,,2.0,f +49779,,,1.0,f +3933,,Montserrat,2.0,t +7969,,Micronesia,1.0,f +6495,89%,Tonga,34.0,f +44764,98%,Maldives,16.0,f +36299,100%,Rwanda,13.0,t +10080,100%,Isle of Man,2.0,t +21945,90%,Denmark,2.0,f +34194,100%,,7.0,t +2015,100%,,1.0,t +8841,100%,Malawi,2.0,f +10855,100%,Niue,6.0,f +45182,,Lebanon,1.0,t +14877,100%,Indonesia,2.0,t +3831,100%,Reunion,3.0,t +36143,90%,Turks and Caicos Islands,4.0,f +43626,,Zimbabwe,2.0,f +20452,99%,Barbados,185.0,t +9729,,French Polynesia,1.0,f +4530,,Micronesia,1.0,t +32448,100%,,1.0,f +33979,83%,Reunion,4.0,f +4526,100%,,4.0,f +34732,,Uzbekistan,2.0,t +4526,100%,,4.0,f +5690,100%,Isle of Man,2.0,t +8178,100%,Marshall Islands,1.0,t +10853,100%,Guinea,5.0,f +24361,100%,,2.0,f +9828,0%,Puerto Rico,1.0,f +38561,,French Guiana,1.0,t +6915,,,2.0,t +35266,,Jersey,2.0,f +35266,,Jersey,2.0,f +14800,,Tunisia,1.0,f +20452,99%,Barbados,185.0,t +48606,100%,Russian Federation,1.0,t +1759,,Niue,1.0,t +16592,,Niger,1.0,f +27067,,,1.0,f +44546,100%,Guinea,2.0,f +13989,,Malta,1.0,t +40925,,Kenya,2.0,f +20452,99%,Barbados,185.0,t +34110,,,1.0,f +8405,,Tunisia,1.0,f +46076,100%,Russian Federation,2.0,t +11892,100%,Guinea,1.0,t +12357,100%,Gambia,4.0,f +8071,,,1.0,f +9651,100%,Lithuania,1.0,t +20452,99%,Barbados,185.0,t +48194,,,1.0,f +15953,100%,,1.0,f +35403,100%,Mexico,1.0,f +7739,,,1.0,f +20452,99%,Barbados,185.0,t +18747,0%,,2.0,f +18745,,,3.0,t +35294,,Lebanon,1.0,t +18747,0%,,2.0,f +47194,,,1.0,f +1257,100%,,2.0,f +6887,100%,Faroe Islands,2.0,f +40567,100%,,2.0,t +45780,91%,Palestinian Territory,5.0,f +11926,,Tonga,4.0,t +4558,30%,,3.0,f +41563,0%,,1.0,f +44055,75%,,5.0,f +47009,,Chad,1.0,f +1440,100%,Gibraltar,4.0,t +7736,71%,,2.0,f +48954,100%,Montserrat,8.0,t +40567,100%,,2.0,t +48195,100%,Gibraltar,1.0,t +21736,100%,Vanuatu,4.0,f +4920,98%,Estonia,8.0,f +5736,,,1.0,t +7067,100%,,1.0,f +20297,80%,Montserrat,17.0,f +7084,,Tanzania,1.0,t +20297,80%,Montserrat,17.0,f +36174,,,1.0,f +20478,100%,Ecuador,1.0,f +31528,,Zimbabwe,2.0,t +16867,100%,Uzbekistan,1.0,f +20334,99%,Niger,171.0,t +28665,,,1.0,t +23654,100%,Uzbekistan,23.0,f +20297,80%,Montserrat,17.0,f +17634,90%,Brazil,1.0,t +20297,80%,Montserrat,17.0,f +20297,80%,Montserrat,17.0,f +25383,100%,Bahrain,3.0,f +20297,80%,Montserrat,17.0,f +8130,,Isle of Man,1.0,f +668,,,1.0,t +17315,100%,Micronesia,1.0,f +12918,100%,China,9.0,f +40095,,,1.0,f +25928,100%,,1.0,t +20036,100%,Guernsey,2.0,t +32030,,Guinea,1.0,f +42361,100%,Sao Tome and Principe,1.0,t +34011,80%,,1.0,f +44414,100%,Vietnam,2.0,t +30035,100%,,1.0,f +32863,,,2.0,f +33873,100%,Turks and Caicos Islands,8.0,t +7438,,Isle of Man,1.0,t +34042,100%,Marshall Islands,37.0,f +33198,100%,Mauritania,12.0,f +21940,,Turkmenistan,1.0,f +36127,100%,,16.0,f +24704,100%,,1.0,f +14877,100%,Indonesia,2.0,t +32982,,Togo,2.0,f +611,86%,Montserrat,7.0,f +47274,100%,Tonga,48.0,f +9761,,Gambia,2.0,f +36127,100%,,16.0,f +36346,100%,,1.0,f +36127,100%,,16.0,f +6246,,,3.0,t +46167,,Niger,1.0,f +9502,100%,,2.0,t +47695,100%,,1.0,f +39003,,Gibraltar,1.0,t +15603,100%,Marshall Islands,1.0,t +17324,100%,Isle of Man,1.0,f +18306,90%,Jersey,5.0,f +43223,,Malta,2.0,f +42246,100%,Tanzania,1.0,f +26195,93%,Gambia,8.0,t +33786,,,1.0,f +35308,,,1.0,f +4563,,Lebanon,1.0,f +40428,,Malawi,1.0,t +33211,,Kiribati,1.0,t +29647,100%,Peru,1305.0,f +21409,,,1.0,f +47090,100%,Croatia,3.0,f +10711,93%,Uganda,108.0,t +17618,100%,Uzbekistan,1.0,f +14559,,,1.0,f +12001,,Russian Federation,1.0,f +26195,93%,Gambia,8.0,t +40177,100%,,13.0,f +32993,100%,Christmas Island,1.0,t +22331,99%,Rwanda,50.0,t +16874,100%,,1.0,f +24794,,Russian Federation,2.0,f +45026,,,1.0,t +16242,100%,Sao Tome and Principe,3.0,t +46065,100%,Ecuador,3.0,f +21403,95%,Vietnam,8.0,f +8872,100%,Russian Federation,5.0,t +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +30501,100%,Marshall Islands,2.0,f +9743,100%,,2.0,f +14590,,Turks and Caicos Islands,2.0,t +37796,,,1.0,t +18870,,,1.0,f +40177,100%,,13.0,f +40177,100%,,13.0,f +41944,,,1.0,t +31976,,Nauru,1.0,t +5628,,,1.0,f +2379,100%,Lithuania,2.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +47760,100%,Malawi,1.0,t +36313,86%,Turkmenistan,1.0,f +17394,0%,Nicaragua,49.0,f +3824,,,1.0,f +29976,100%,,3.0,f +15279,,Afghanistan,22.0,t +44742,,,1.0,f +48409,,Estonia,60.0,t +29011,100%,Rwanda,1.0,f +14454,,Guernsey,2.0,f +44511,100%,Bouvet Island (Bouvetoya),4.0,f +37646,100%,Estonia,60.0,f +46158,,Uzbekistan,1.0,t +8978,88%,Brazil,1.0,t +36546,86%,Ghana,3.0,f +50039,100%,Isle of Man,4.0,f +25031,,Gambia,1.0,f +24026,98%,Cape Verde,69.0,t +18684,,,1.0,f +3765,100%,Guinea,1.0,t +47026,90%,Vietnam,3.0,f +11125,100%,Nicaragua,12.0,t +18306,90%,Jersey,5.0,f +6899,100%,Bahrain,1.0,t +23430,100%,Reunion,16.0,f +46175,100%,United Kingdom,1.0,t +26969,,,1.0,f +12247,100%,Maldives,33.0,f +44744,,Saint Helena,1.0,f +5110,,Grenada,1.0,f +4792,100%,Jersey,4.0,t +24284,,,1.0,f +26473,,Micronesia,2.0,f +26940,,Svalbard & Jan Mayen Islands,1.0,f +25977,100%,Slovakia (Slovak Republic),2.0,t +12854,,,1.0,t +7748,,,1.0,f +25666,100%,,1.0,f +3853,30%,Denmark,3.0,f +37269,100%,Estonia,1.0,f +36233,,,1.0,f +10855,100%,Niue,6.0,f +49754,100%,Tonga,4.0,f +10855,100%,Niue,6.0,f +10855,100%,Niue,6.0,f +10855,100%,Niue,6.0,f +24531,,Turkmenistan,1.0,f +27196,0%,Isle of Man,2.0,f +34007,100%,Kenya,2.0,f +28310,100%,Costa Rica,2.0,t +3284,100%,Kiribati,4.0,f +16603,,Tunisia,5.0,f +16603,,Tunisia,5.0,f +2075,100%,Croatia,1.0,f +37725,100%,Zimbabwe,1.0,f +11125,100%,Nicaragua,12.0,t +43601,100%,Denmark,1.0,t +463,100%,Niue,2.0,f +22721,100%,Ecuador,109.0,f +9902,100%,Gibraltar,2.0,t +13403,96%,Maldives,21.0,t +35396,,Mauritania,1.0,f +41546,100%,Mauritania,21.0,f +24026,98%,Cape Verde,69.0,t +19042,100%,Puerto Rico,1.0,f +43152,100%,Nicaragua,82.0,t +23375,,French Guiana,1.0,f +7552,,,2.0,f +47315,,Marshall Islands,1.0,f +14837,85%,Uzbekistan,1.0,t +2049,,Isle of Man,1.0,f +1840,,,1.0,f +26410,76%,,4.0,f +19655,100%,Tonga,13.0,t +9483,100%,,2.0,f +11255,93%,Suriname,41.0,f +37293,92%,Russian Federation,15.0,f +32203,100%,Barbados,176.0,f +27258,100%,,1.0,f +4133,90%,Maldives,6.0,f +44169,97%,Portugal,39.0,f +17385,100%,Micronesia,1.0,f +32203,100%,Barbados,176.0,f +41115,,,1.0,t +10711,93%,Uganda,108.0,t +24451,,Sao Tome and Principe,1.0,f +23854,,Uzbekistan,15.0,f +31956,100%,Uruguay,1.0,f +3503,100%,Ukraine,2.0,t +20306,100%,Brazil,1.0,f +1611,,Marshall Islands,1.0,f +39676,86%,Guinea,2.0,f +10315,,,1.0,f +1501,100%,Korea,1.0,f +42076,,,1.0,f +44995,,Mexico,1.0,f +21651,,,1.0,t +35439,94%,United Kingdom,23.0,t +11354,,Anguilla,1.0,f +5402,,Russian Federation,1.0,f +20036,100%,Guernsey,2.0,t +28497,,,1.0,t +11214,,United Kingdom,1.0,f +44169,97%,Portugal,39.0,f +34120,100%,French Guiana,3.0,t +14931,100%,Jersey,4.0,f +41679,,Bosnia and Herzegovina,1.0,t +37293,92%,Russian Federation,15.0,f +42458,97%,Indonesia,14.0,t +48321,100%,China,17.0,f +36658,94%,China,20.0,t +30855,100%,Turks and Caicos Islands,2.0,f +24067,,Mexico,3.0,t +25222,80%,Kenya,11.0,t +47610,100%,Uzbekistan,10.0,f +42748,,Papua New Guinea,2.0,t +46354,100%,Papua New Guinea,1.0,f +15122,100%,,2.0,f +20334,99%,Niger,171.0,t +12658,,,1.0,f +30580,97%,Montserrat,12.0,f +48208,100%,,2.0,f +21186,100%,Rwanda,2.0,t +18306,90%,Jersey,5.0,f +31865,,,1.0,f +32741,100%,Isle of Man,3.0,f +43576,100%,Guinea,2.0,t +7357,100%,Sao Tome and Principe,1.0,t +40386,100%,Nicaragua,4.0,t +29123,100%,Zimbabwe,16.0,t +38967,100%,,1.0,t +36403,100%,United Kingdom,1.0,t +6411,70%,Gambia,1.0,f +41480,100%,Pakistan,1.0,f +23919,,,1.0,f +38103,80%,Isle of Man,2.0,f +15430,,,2.0,t +13364,91%,Netherlands,21.0,f +4693,,,1.0,f +37488,100%,Croatia,10.0,t +1177,100%,Brazil,2.0,f +6894,80%,Estonia,47.0,t +42032,100%,Monaco,2.0,t +48718,,,1.0,f +45004,,,2.0,f +14677,,Marshall Islands,1.0,t +31416,100%,,2.0,f +34260,100%,United Kingdom,2.0,t +30580,97%,Montserrat,12.0,f +29661,,Togo,1.0,f +11874,100%,Jersey,1.0,f +2642,,Andorra,4.0,f +27196,0%,Isle of Man,2.0,f +39500,100%,Monaco,2.0,f +8173,100%,Barbados,2.0,t +24471,100%,Guinea,1.0,f +17222,,,1.0,f +31435,100%,Niue,1.0,f +42469,,,2.0,t +49061,,Niue,1.0,f +17717,,Russian Federation,2.0,f +31597,80%,,2.0,t +14404,100%,Niue,1.0,f +10807,100%,Indonesia,2.0,f +40546,100%,,1.0,t +12551,100%,Niger,3.0,f +23560,93%,,9.0,f +25673,,,1.0,f +6940,,Kenya,1.0,f +47248,100%,,1.0,f +25327,100%,Kiribati,4.0,f +42764,100%,Guernsey,13.0,t +25951,,France,1.0,t +47809,,Kenya,1.0,f +4992,,Kiribati,5.0,t +4992,,Kiribati,5.0,t +13364,91%,Netherlands,21.0,f +8003,100%,Uganda,1.0,f +15874,100%,Somalia,2.0,t +22144,,Anguilla,1.0,f +13364,91%,Netherlands,21.0,f +4992,,Kiribati,5.0,t +6347,100%,Kiribati,3.0,f +44172,,Tonga,1.0,t +21143,100%,Mexico,2.0,f +6232,,Guinea,15.0,t +856,,,1.0,t +7053,100%,Marshall Islands,2.0,f +35001,100%,Christmas Island,2.0,t +24835,,United Kingdom,2.0,t +24118,98%,Ghana,21.0,t +30506,,Lebanon,1.0,f +4330,94%,Ukraine,60.0,t +37750,,,1.0,f +46254,100%,Venezuela,4.0,f +42130,,Malawi,1.0,f +34656,,Estonia,1.0,f +5879,100%,Slovakia (Slovak Republic),2.0,f +6609,,,1.0,f +44301,100%,Uzbekistan,1.0,f +39245,,Guinea,1.0,f +20967,100%,Congo,3.0,t +22431,,,1.0,f +25771,100%,Monaco,1.0,f +31164,100%,,2.0,f +16487,100%,Micronesia,1.0,f +43496,100%,Montserrat,18.0,t +10521,100%,Egypt,3.0,t +21451,100%,,2.0,f +29647,100%,Peru,1305.0,f +32510,88%,Kiribati,1.0,f +38974,,Malawi,1.0,f +42004,67%,,2.0,t +32796,0%,Jersey,1.0,f +22597,,,1.0,f +20665,100%,,2.0,t +39944,,Lebanon,1.0,t +40082,,Brunei Darussalam,1.0,f +25631,100%,,1.0,f +3029,,Sao Tome and Principe,1.0,f +7238,100%,,1.0,f +18908,100%,,1.0,t +11706,100%,France,2.0,f +37488,100%,Croatia,10.0,t +30931,100%,Papua New Guinea,3.0,f +37488,100%,Croatia,10.0,t +37488,100%,Croatia,10.0,t +37488,100%,Croatia,10.0,t +37488,100%,Croatia,10.0,t +13641,85%,Mauritania,23.0,f +11978,90%,Denmark,3.0,f +4018,,,1.0,t +20665,100%,,2.0,t +47865,80%,,4.0,t +40663,,,1.0,f +5440,,Monaco,1.0,t +46353,,Mauritania,1.0,f +22629,,Malta,1.0,f +30698,,,1.0,f +16737,100%,Kiribati,1.0,t +4103,,,1.0,f +49905,,United Kingdom,2.0,t +12294,,,1.0,f +49717,,,1.0,f +9461,,,1.0,t +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +18269,86%,Fiji,12.0,f +2179,25%,Reunion,5.0,f +3956,,Lebanon,1.0,t +37153,100%,Monaco,3.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +25476,100%,Fiji,11.0,f +29647,100%,Peru,1305.0,f +44883,100%,Uzbekistan,2.0,t +31092,,Senegal,19.0,f +45453,100%,,1.0,f +10201,,,1.0,f +18442,100%,Reunion,5.0,t +20754,,China,13.0,f +4835,100%,Micronesia,1.0,f +29647,100%,Peru,1305.0,f +44883,100%,Uzbekistan,2.0,t +26175,100%,Russian Federation,4.0,t +828,,Mauritania,2.0,f +29647,100%,Peru,1305.0,f +5923,,,1.0,t +40448,,Estonia,1.0,f +8396,100%,Bouvet Island (Bouvetoya),1.0,t +34468,,,1.0,f +47770,100%,Jersey,2.0,f +44280,,Iraq,2.0,t +8616,53%,Canada,4.0,t +21087,50%,,1.0,t +11839,,Uganda,11.0,f +22548,,Nicaragua,1.0,t +3588,100%,Burkina Faso,2.0,f +5745,100%,,1.0,f +2657,,Netherlands Antilles,1.0,f +21345,,United Kingdom,1.0,f +20373,,Chile,1.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +35796,100%,Uzbekistan,1.0,f +23868,67%,,15.0,t +23868,67%,,15.0,t +18124,,Denmark,1.0,t +8884,67%,China,3.0,f +878,100%,Kiribati,3.0,t +36365,,Sao Tome and Principe,1.0,t +48720,,Kenya,1.0,f +29724,100%,,1.0,t +49292,,Denmark,1.0,f +27789,100%,,1.0,t +10628,,Kenya,1.0,f +47360,100%,,3.0,f +17394,0%,Nicaragua,49.0,f +24485,70%,Gibraltar,1.0,f +12247,100%,Maldives,33.0,f +36675,,,1.0,t +12247,100%,Maldives,33.0,f +40660,,,1.0,t +12938,92%,Reunion,12.0,f +26126,100%,Venezuela,3.0,t +1431,100%,Rwanda,1.0,f +2597,100%,Nicaragua,13.0,t +8221,,Costa Rica,1.0,f +38421,100%,Niue,1.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +2265,,Sao Tome and Principe,4.0,t +15189,79%,China,21.0,f +3079,,Estonia,1.0,f +24219,,United Kingdom,1.0,f +26978,100%,Croatia,1.0,f +17469,,Sao Tome and Principe,1.0,f +29315,100%,Brazil,6.0,f +48050,100%,,2.0,t +29344,,Ecuador,1.0,t +658,100%,Sao Tome and Principe,5.0,f +17417,,Denmark,11.0,f +4346,,China,2.0,t +10332,75%,Ecuador,2.0,t +4925,,,2.0,f +4925,,,2.0,f +2638,100%,Slovakia (Slovak Republic),1.0,f +30705,100%,Uruguay,2.0,f +18833,,Kiribati,1.0,f +21678,100%,Monaco,1.0,f +41298,,Kiribati,2.0,f +41337,100%,Maldives,5.0,f +28489,90%,Malta,5.0,t +9226,,Mauritania,5.0,f +23396,100%,Somalia,1.0,f +32543,100%,,2.0,t +20506,,Anguilla,2.0,f +45847,,Niue,1.0,f +36578,100%,Faroe Islands,3.0,t +20973,,Mexico,1.0,f +9693,100%,Vanuatu,8.0,f +14672,,Slovakia (Slovak Republic),1.0,t +41096,100%,,1.0,f +32264,,Maldives,1.0,t +48362,,,1.0,f +44840,100%,,2.0,t +26027,100%,,1.0,f +3980,100%,Barbados,1.0,f +46394,100%,Estonia,1.0,f +19455,100%,Micronesia,2.0,f +26626,100%,Brunei Darussalam,1.0,f +9410,100%,,1.0,f +40421,96%,Jersey,29.0,t +28498,100%,Kiribati,1.0,f +29647,100%,Peru,1305.0,f +10020,90%,China,5.0,f +1211,100%,Mexico,2.0,t +6495,89%,Tonga,34.0,f +502,,,2.0,f +18459,100%,Zimbabwe,100.0,f +35578,,United Kingdom,1.0,f +9775,100%,Ecuador,1.0,f +29647,100%,Peru,1305.0,f +45441,100%,Mauritania,1.0,f +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +45065,80%,,3.0,f +36012,100%,,8.0,f +41389,,,1.0,t +45065,80%,,3.0,f +25658,,Nicaragua,1.0,f +4425,,,1.0,f +7834,94%,Mexico,13.0,f +22272,,,1.0,t +28766,100%,Estonia,16.0,f +36359,,,1.0,f +28766,100%,Estonia,16.0,f +39892,100%,Tonga,31.0,t +43614,,El Salvador,1.0,f +19356,,,1.0,f +28766,100%,Estonia,16.0,f +7028,100%,Fiji,4.0,t +11599,75%,,4.0,f +11677,100%,,8.0,f +1836,100%,Isle of Man,1.0,f +46372,100%,Northern Mariana Islands,7.0,t +1835,100%,Ecuador,8.0,f +13575,,,2.0,t +2429,100%,Tonga,6.0,f +9543,100%,,1.0,f +43244,100%,France,2.0,t +22603,100%,,1.0,f +44076,,Uganda,1.0,t +39615,,Niue,2.0,f +38832,97%,,15.0,f +25818,,Lebanon,1.0,f +25992,,Uganda,3.0,f +25760,,Zimbabwe,1.0,t +25992,,Uganda,3.0,f +25992,,Uganda,3.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +46212,100%,China,4.0,f +17306,92%,Micronesia,4.0,t +41489,,,1.0,f +24116,,,1.0,f +32776,,Croatia,1.0,f +31425,,Kiribati,1.0,f +32656,,Kenya,5.0,f +27263,80%,China,5.0,f +35970,100%,,1.0,f +2012,,Ecuador,1.0,f +49288,90%,,1.0,f +4325,,United Kingdom,1.0,f +47633,100%,Reunion,4.0,t +49853,100%,Lithuania,1.0,f +49762,100%,China,1.0,f +3050,,Nauru,1.0,f +29432,50%,,1.0,f +23670,100%,Tonga,1.0,f +36635,100%,Indonesia,10.0,f +14687,100%,Malawi,1.0,t +41879,,Anguilla,1.0,f +26939,100%,Philippines,6.0,f +33379,100%,,1.0,f +39143,89%,,33.0,f +45065,80%,,3.0,f +49888,,,1.0,f +39143,89%,,33.0,f +20731,100%,,2.0,f +42013,,Guinea,16.0,t +8055,100%,Niue,1.0,t +42013,,Guinea,16.0,t +38855,100%,,1.0,f +32283,,,1.0,t +22086,,,1.0,f +8057,,,1.0,f +32830,,Costa Rica,1.0,f +15537,100%,Cocos (Keeling) Islands,2.0,f +10711,93%,Uganda,108.0,t +25650,90%,Monaco,3.0,f +49962,,Isle of Man,2.0,f +211,,Russian Federation,1.0,t +1329,,Barbados,1.0,f +41032,100%,Peru,1.0,f +12247,100%,Maldives,33.0,f +38045,97%,Uzbekistan,7.0,f +12247,100%,Maldives,33.0,f +8214,100%,,3.0,f +1177,100%,Brazil,2.0,f +37846,100%,,1.0,t +26361,100%,Vanuatu,3.0,f +40352,100%,,2.0,t +6232,,Guinea,15.0,t +20754,,China,13.0,f +19546,100%,Brazil,1.0,f +43256,,Micronesia,3.0,f +3110,,Uzbekistan,2.0,f +2852,100%,Isle of Man,1.0,f +33387,100%,Gibraltar,1.0,t +23970,100%,Cocos (Keeling) Islands,1.0,t +39639,100%,Niue,19.0,f +26148,100%,Kiribati,10.0,t +39639,100%,Niue,19.0,f +356,99%,Wallis and Futuna,32.0,t +39639,100%,Niue,19.0,f +17151,100%,Zimbabwe,2.0,f +26473,,Micronesia,2.0,f +13834,,Kiribati,9.0,f +40767,,Lebanon,1.0,f +35050,100%,Sao Tome and Principe,1.0,f +33435,100%,Tonga,1.0,f +41022,100%,Cape Verde,3.0,t +9615,,Russian Federation,1.0,f +11271,100%,,2.0,f +18490,,,1.0,f +20153,96%,Reunion,51.0,f +41098,,Chad,1.0,f +23844,100%,Vanuatu,1.0,f +32348,100%,Tunisia,1.0,t +16086,,Zimbabwe,1.0,t +19567,,,2.0,f +47145,100%,Kenya,2.0,f +44890,95%,Wallis and Futuna,9.0,t +38045,97%,Uzbekistan,7.0,f +39450,,,1.0,f +23026,,,1.0,f +4417,100%,Niue,1.0,f +29099,100%,,1.0,t +26148,100%,Kiribati,10.0,t +12668,100%,,1.0,t +41313,100%,Denmark,10.0,t +10301,,,1.0,t +44945,90%,Marshall Islands,4.0,t +28828,100%,Isle of Man,198.0,t +28828,100%,Isle of Man,198.0,t +34270,100%,Australia,2.0,f +39921,100%,Barbados,2.0,t +26601,100%,,1.0,t +19340,100%,San Marino,2.0,f +31617,,Tonga,1.0,f +45043,100%,Chad,10.0,f +7876,100%,,4.0,t +12466,,Maldives,2.0,f +10892,,Uganda,1.0,f +49624,,Chad,1.0,t +38656,100%,Mauritania,8.0,f +25627,,Tunisia,1.0,f +23128,,,1.0,f +13573,100%,Gibraltar,4.0,t +44367,91%,Brazil,12.0,f +12580,,Niger,1.0,f +26247,100%,,1.0,f +25580,,Faroe Islands,1.0,f +46918,100%,Sao Tome and Principe,5.0,f +20754,,China,13.0,f +20754,,China,13.0,f +6669,,Malawi,1.0,t +34577,,Monaco,1.0,f +5043,100%,,1.0,f +24812,100%,,1.0,t +10263,100%,,3.0,t +23760,70%,,1.0,t +4140,,,3.0,f +31201,50%,,2.0,f +35004,,,1.0,f +1746,50%,Puerto Rico,3.0,f +34258,,Vietnam,7.0,t +38538,100%,,5.0,f +38538,100%,,5.0,f +13452,,Guinea,1.0,f +16574,,,1.0,f +48455,89%,Uzbekistan,20.0,t +35442,,Russian Federation,14.0,f +41796,100%,Kiribati,1.0,t +33481,50%,Portugal,1.0,t +18877,100%,Isle of Man,3.0,t +32740,100%,Vanuatu,2.0,t +33131,,Isle of Man,1.0,f +36840,,Cape Verde,2.0,t +22397,100%,Lebanon,2.0,t +20094,100%,Cocos (Keeling) Islands,2.0,f +21253,0%,Guinea,1.0,f +27536,100%,Jersey,1.0,f +43887,,,1.0,t +38896,,,1.0,f +31133,90%,Montserrat,2.0,t +25008,,Tonga,3.0,t +21443,,Monaco,1.0,f +45150,100%,,1.0,t +10502,93%,Indonesia,9.0,f +12003,100%,Uganda,8.0,t +22217,,Tonga,1.0,f +41897,100%,Niue,1.0,f +10502,93%,Indonesia,9.0,f +40492,,,1.0,f +30705,100%,Uruguay,2.0,f +38736,80%,Zimbabwe,2.0,f +3778,100%,Lebanon,1.0,t +6728,,Vietnam,3.0,t +25788,100%,Faroe Islands,1.0,f +42415,,,1.0,t +10318,,Guernsey,1.0,t +4973,100%,Nicaragua,1.0,f +13564,,,1.0,f +23494,100%,Philippines,2.0,t +43975,,,2.0,f +40597,,Russian Federation,1.0,f +3955,,,1.0,f +49337,,Anguilla,1.0,f +26148,100%,Kiribati,10.0,t +45260,94%,,19.0,f +36524,100%,Saint Helena,8.0,t +16808,100%,Niue,1.0,f +40752,100%,Tunisia,5.0,t +42255,100%,Russian Federation,1.0,f +20108,100%,Marshall Islands,2.0,f +9630,100%,,13.0,f +18716,,Sao Tome and Principe,1.0,f +10405,,,1.0,f +11567,100%,Niger,31.0,t +14598,,Jersey,2.0,t +35218,100%,Turkmenistan,2.0,f +31718,100%,France,6.0,f +25680,100%,,1.0,f +37876,,,1.0,f +15608,90%,,1.0,f +4446,100%,Uganda,58.0,f +4446,100%,Uganda,58.0,f +8803,100%,,1.0,f +43782,83%,Costa Rica,1.0,f +42231,,Lebanon,1.0,f +853,100%,Greenland,2.0,f +13576,100%,Uzbekistan,1.0,t +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +17394,0%,Nicaragua,49.0,f +2644,100%,Zimbabwe,11.0,t +7494,100%,Micronesia,2.0,f +20604,,China,1.0,f +20935,100%,Gambia,2.0,f +9649,100%,Togo,2.0,t +8609,,,1.0,f +25184,100%,Denmark,1.0,t +3976,,Vanuatu,1.0,t +3944,,,1.0,t +17071,,Kiribati,1.0,f +20421,100%,Guinea,1.0,f +28312,100%,Lebanon,2.0,t +4263,,Bahrain,1.0,t +9302,100%,,1.0,t +5437,98%,Reunion,4.0,f +49681,,France,2.0,f +31277,,Cocos (Keeling) Islands,3.0,f +34157,100%,,2.0,f +48371,100%,,2.0,f +27811,100%,Ukraine,4.0,t +44169,97%,Portugal,39.0,f +46507,,Costa Rica,1.0,f +13870,100%,,1.0,t +23693,100%,Sao Tome and Principe,1.0,f +8496,,Togo,1.0,f +19943,63%,Isle of Man,34.0,f +12164,100%,Nicaragua,8.0,f +42775,,Rwanda,2.0,t +31707,100%,Niger,48.0,f +15752,100%,Bouvet Island (Bouvetoya),2.0,f +50048,,Papua New Guinea,1.0,f +39620,,,1.0,f +11599,75%,,4.0,f +853,100%,Greenland,2.0,f +640,,Chile,1.0,f +4446,100%,Uganda,58.0,f +34832,80%,Sao Tome and Principe,7.0,t +27774,78%,Vietnam,15.0,f +5833,,Niue,1.0,t +48998,,Anguilla,1.0,f +36012,100%,,8.0,f +5669,100%,Kiribati,1.0,t +17656,100%,Monaco,1.0,f +36012,100%,,8.0,f +30264,,,2.0,f +36012,100%,,8.0,f +25934,100%,Estonia,7.0,f +36012,100%,,8.0,f +20652,100%,Sao Tome and Principe,2.0,f +13079,100%,Afghanistan,1.0,f +31579,,United Kingdom,2.0,t +45792,,Svalbard & Jan Mayen Islands,1.0,t +14819,100%,Barbados,3.0,f +14552,,Turkmenistan,1.0,f +14574,100%,,1.0,f +22415,50%,,3.0,f +10711,93%,Uganda,108.0,t +5233,100%,Montserrat,6.0,t +4928,50%,Malta,1.0,f +49290,,,1.0,f +23430,100%,Reunion,16.0,f +36012,100%,,8.0,f +43895,100%,,1.0,f +18544,,Netherlands Antilles,1.0,t +7007,,Denmark,1.0,f +29535,100%,El Salvador,1.0,f +7392,,,1.0,t +39538,,Greenland,3.0,f +47894,100%,Turks and Caicos Islands,3.0,f +32867,,,1.0,f +3538,,,1.0,f +43530,90%,Russian Federation,2.0,t +43820,100%,,1.0,t +20297,80%,Montserrat,17.0,f +34666,,Indonesia,1.0,f +30542,,Gibraltar,1.0,f +19682,100%,Faroe Islands,15.0,t +20297,80%,Montserrat,17.0,f +8787,,Micronesia,5.0,f +9903,100%,Kiribati,3.0,f +20297,80%,Montserrat,17.0,f +35482,100%,,2.0,f +11838,100%,Somalia,1.0,t +43176,86%,Guinea,3.0,f +2694,,Afghanistan,1.0,f +13811,100%,,1.0,f +19951,88%,Vanuatu,10.0,f +7323,100%,Nauru,2.0,t +1688,,,1.0,t +44169,97%,Portugal,39.0,f +33654,,,1.0,f +16729,,,1.0,t +37488,100%,Croatia,10.0,t +37488,100%,Croatia,10.0,t +39770,,Micronesia,1.0,t +8081,,,1.0,t +9758,100%,Guinea,2.0,f +13292,100%,Marshall Islands,1.0,f +39116,50%,,1.0,f +44169,97%,Portugal,39.0,f +16586,,French Guiana,2.0,f +48902,,Guinea,1.0,f +2581,,Jersey,1.0,f +22331,99%,Rwanda,50.0,t +16975,100%,Afghanistan,1.0,f +6894,80%,Estonia,47.0,t +2879,100%,Philippines,1.0,f +602,,Montserrat,1.0,f +46743,,Kenya,1.0,f +32654,90%,,1.0,f +19487,100%,Cocos (Keeling) Islands,2.0,f +22721,100%,Ecuador,109.0,f +35555,67%,,2.0,f +2136,,Turkmenistan,1.0,t +17785,,Micronesia,1.0,f +22945,,,1.0,f +824,100%,Russian Federation,1.0,f +37053,,Uzbekistan,1.0,f +45828,90%,Togo,9.0,f +42962,,Senegal,1.0,f +47274,100%,Tonga,48.0,f +18863,90%,Estonia,9.0,f +7592,98%,,13.0,t +11493,,,1.0,f +27152,100%,Kenya,4.0,f +46872,100%,Nicaragua,9.0,f +4228,,Niger,11.0,f +28282,100%,,2.0,f +39071,,Uzbekistan,1.0,f +826,95%,Wallis and Futuna,2.0,f +46303,,Kenya,2.0,t +7516,100%,,1.0,f +15004,100%,Uzbekistan,88.0,f +45328,97%,Kiribati,10.0,f +9640,100%,Denmark,2.0,t +44408,100%,Peru,3.0,f +41285,,Svalbard & Jan Mayen Islands,1.0,f +25327,100%,Kiribati,4.0,f +45003,100%,Nauru,1.0,f +29978,89%,Uzbekistan,26.0,f +7592,98%,,13.0,t +29978,89%,Uzbekistan,26.0,f +9269,,,2.0,t +3932,100%,Uzbekistan,2.0,f +436,,,1.0,f +39720,100%,,1.0,f +29791,,,4.0,f +32512,100%,Saint Helena,9.0,f +21512,,Zimbabwe,1.0,t +42710,100%,Niger,1.0,f +33828,50%,Niue,1.0,t +47980,,Denmark,1.0,f +19866,,Maldives,2.0,f +45702,,,1.0,t +13333,100%,Gibraltar,1.0,f +21980,100%,Sao Tome and Principe,5.0,t +46098,,,1.0,f +488,100%,Maldives,18.0,f +45546,100%,Cape Verde,19.0,t +39892,100%,Tonga,31.0,t +29647,100%,Peru,1305.0,f +9787,100%,Kiribati,2.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +14098,,Guinea,1.0,f +34201,,Uzbekistan,1.0,f +3218,100%,Zimbabwe,6.0,f +20297,80%,Montserrat,17.0,f +31092,,Senegal,19.0,f +26709,100%,Russian Federation,2.0,f +43442,,Niue,1.0,f +27573,,Chad,1.0,f +25314,100%,Holy See (Vatican City State),1.0,f +43176,86%,Guinea,3.0,f +31092,,Senegal,19.0,f +11502,,,1.0,t +10711,93%,Uganda,108.0,t +12878,0%,Croatia,2.0,t +21865,100%,,3.0,t +20444,100%,,1.0,f +9091,100%,Cocos (Keeling) Islands,1.0,f +9179,,Tunisia,1.0,t +26960,100%,Guinea,2.0,f +34745,,,1.0,f +11271,100%,,2.0,f +14588,100%,Nicaragua,1.0,f +13514,,Lebanon,1.0,t +40078,100%,Croatia,7.0,t +25690,80%,,1.0,f +14987,100%,,1.0,t +34895,100%,Estonia,16.0,t +25494,,Afghanistan,1.0,t +12233,,Lithuania,1.0,f +25934,100%,Estonia,7.0,f +25934,100%,Estonia,7.0,f +44109,100%,United Kingdom,20.0,f +44109,100%,United Kingdom,20.0,f +39699,100%,Vanuatu,1.0,f +44109,100%,United Kingdom,20.0,f +36697,,,1.0,t +44109,100%,United Kingdom,20.0,f +26710,100%,Tanzania,1.0,t +47389,100%,Cocos (Keeling) Islands,1.0,t +38973,100%,,1.0,f +12334,100%,Micronesia,1.0,t +45828,90%,Togo,9.0,f +19602,100%,Lithuania,24.0,f +34129,,China,1.0,f +9424,100%,Peru,1.0,f +43924,,,1.0,t +15004,100%,Uzbekistan,88.0,f +4856,100%,Philippines,5.0,f +15004,100%,Uzbekistan,88.0,f +45484,,Chile,3.0,f +41484,89%,Anguilla,23.0,f +1598,,,1.0,t +47602,97%,Puerto Rico,18.0,f +8225,95%,Barbados,31.0,f +48973,100%,Tonga,6.0,f +48095,100%,,1.0,f +28305,,,4.0,f +40722,,Maldives,2.0,f +39967,100%,Switzerland,1.0,f +43550,100%,Rwanda,16.0,t +16252,100%,,1.0,f +4803,100%,Fiji,5.0,t +37194,,,2.0,f +42099,,,1.0,f +22321,100%,United Kingdom,16.0,f +7027,100%,Gibraltar,1.0,f +28021,83%,Isle of Man,2.0,f +48257,100%,Kiribati,5.0,t +4163,,,1.0,f +48257,100%,Kiribati,5.0,t +45737,,Tonga,29.0,t +24657,100%,,1.0,f +3441,,,1.0,f +3298,100%,,1.0,f +28046,100%,Cape Verde,5.0,f +48484,80%,Faroe Islands,3.0,f +44425,,Cocos (Keeling) Islands,1.0,t +43639,,,1.0,f +8919,,Lebanon,1.0,t +45276,100%,France,4.0,t +21787,100%,Uganda,2.0,f +33358,,,1.0,t +30228,100%,Rwanda,1.0,t +40679,100%,,1.0,f +18847,,Faroe Islands,1.0,f +8666,50%,,2.0,t +45276,100%,France,4.0,t +41264,,Indonesia,1.0,f +12804,100%,Peru,1.0,f +30926,100%,French Guiana,1.0,t +11464,100%,Papua New Guinea,11.0,f +48503,90%,Sao Tome and Principe,5.0,t +30199,,,1.0,f +9786,,Sao Tome and Principe,1.0,f +8022,100%,France,1.0,f +8594,100%,Greenland,1.0,f +37875,100%,Brazil,2.0,t +35832,,Lebanon,3.0,t +47880,100%,Micronesia,1.0,f +36679,,,1.0,t +7878,,,1.0,t +35246,100%,,2.0,f +49260,,Lebanon,1.0,t +27138,100%,Svalbard & Jan Mayen Islands,1.0,f +13803,,,1.0,f +7626,100%,Tanzania,2.0,f +12120,100%,Zimbabwe,2.0,f +48984,,Egypt,2.0,t +11926,,Tonga,4.0,t +33879,,France,1.0,f +37993,100%,,1.0,t +15554,,Lebanon,2.0,f +24689,,,1.0,f +37712,,Zimbabwe,1.0,t +18353,100%,Barbados,1.0,f +2671,100%,Uzbekistan,2.0,t +27545,,,1.0,f +27598,,,1.0,f +30353,100%,Faroe Islands,1.0,f +15231,100%,United Kingdom,5.0,f +9913,70%,Somalia,2.0,t +34639,100%,,1.0,f +48175,50%,,1.0,t +20053,100%,,1.0,f +44844,100%,Chad,1.0,f +33429,,Russian Federation,2.0,f +11922,,,2.0,f +48937,88%,Estonia,3.0,t +31101,100%,Finland,1.0,t +609,,Niue,1.0,f +31751,100%,Nicaragua,29.0,f +30450,100%,Sao Tome and Principe,1.0,f +15691,,Finland,1.0,t +24775,97%,Montserrat,44.0,f +15231,100%,United Kingdom,5.0,f +23313,100%,,2.0,f +15231,100%,United Kingdom,5.0,f +15231,100%,United Kingdom,5.0,f +33897,,,1.0,f +18320,50%,Reunion,19.0,t +48937,88%,Estonia,3.0,t +16032,100%,Uzbekistan,2.0,f +38016,100%,,1.0,t +34983,,,1.0,f +6529,,Kenya,2.0,f +28828,100%,Isle of Man,198.0,t +7716,100%,,1.0,f +33189,,French Guiana,1.0,f +40356,80%,Estonia,2.0,f +34895,100%,Estonia,16.0,t +17740,100%,,2.0,t +31751,100%,Nicaragua,29.0,f +30238,100%,Chile,1.0,t +18201,,Kiribati,5.0,f +18201,,Kiribati,5.0,f +18201,,Kiribati,5.0,f +24160,100%,,3.0,t +3026,100%,,1.0,f +12591,100%,Maldives,4.0,t +30995,,,7.0,f +21239,100%,Denmark,1.0,f +22378,80%,,2.0,f +37042,100%,Uganda,1.0,f +20120,100%,Wallis and Futuna,10.0,f +31751,100%,Nicaragua,29.0,f +4646,100%,Maldives,8.0,f +25678,100%,,1.0,f +48430,,Isle of Man,2.0,f +23762,,Kenya,2.0,f +23654,100%,Uzbekistan,23.0,f +23654,100%,Uzbekistan,23.0,f +766,100%,Cape Verde,2.0,f +5812,,,1.0,f +30795,100%,Micronesia,1.0,f +16318,0%,,1.0,f +16665,80%,,1.0,t +38407,100%,Guernsey,2.0,t +39109,77%,Ukraine,24.0,t +516,,,1.0,t +23654,100%,Uzbekistan,23.0,f +3930,100%,Chad,1.0,f +31718,100%,France,6.0,f +3564,100%,Russian Federation,3.0,f +28791,,,1.0,f +13364,91%,Netherlands,21.0,f +29647,100%,Peru,1305.0,f +33523,100%,Venezuela,2.0,f +44532,0%,Micronesia,1.0,f +6181,100%,Zimbabwe,4.0,f +26960,100%,Guinea,2.0,f +3019,100%,Barbados,18.0,f +43065,100%,,2.0,f +4095,76%,Congo,1.0,t +26777,100%,Puerto Rico,1.0,f +40982,94%,Bahrain,5.0,t +15189,79%,China,21.0,f +13216,,Niue,1.0,t +24567,90%,Costa Rica,2.0,f +32527,100%,Tonga,7.0,f +10039,100%,Vanuatu,6.0,t +23305,100%,Philippines,11.0,f +38538,100%,,5.0,f +38445,,Marshall Islands,1.0,f +16008,100%,,1.0,t +48716,,,3.0,f +36578,100%,Faroe Islands,3.0,t +49102,,,1.0,t +13118,70%,,2.0,f +19994,100%,Saint Helena,5.0,f +14849,67%,,1.0,f +37050,,,1.0,t +34010,,,1.0,f +37394,,,1.0,t +44650,67%,Jersey,1.0,f +23300,100%,Russian Federation,1.0,f +14535,88%,Montserrat,18.0,f +37801,90%,,2.0,f +28510,,,1.0,f +14712,100%,Micronesia,1.0,f +18094,50%,,1.0,f +18413,91%,,4.0,f +4847,100%,Indonesia,3.0,t +4974,,,1.0,t +13825,100%,Cocos (Keeling) Islands,2.0,f +26148,100%,Kiribati,10.0,t +16348,100%,,1.0,t +16360,,,2.0,f +10202,89%,Nicaragua,10.0,f +25911,,,1.0,f +10429,,Netherlands,1.0,f +838,100%,Cocos (Keeling) Islands,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +18088,100%,Marshall Islands,3.0,t +44765,100%,Guinea,1.0,t +29647,100%,Peru,1305.0,f +23176,,Guernsey,2.0,f +6730,100%,Brazil,1.0,f +29211,100%,Malta,3.0,f +21572,100%,Gibraltar,2.0,t +29647,100%,Peru,1305.0,f +35676,80%,Uganda,2.0,t +15966,100%,Guinea,1.0,f +391,,,1.0,f +38538,100%,,5.0,f +48657,,Russian Federation,1.0,f +28880,100%,Venezuela,1.0,f +15317,,,1.0,t +7162,100%,,1.0,f +18957,,Kenya,1.0,f +12040,,China,1.0,t +10399,,Micronesia,1.0,f +46554,100%,,1.0,f +7406,,,1.0,f +35600,,,1.0,t +26692,,Niue,1.0,f +19741,,China,1.0,f +39615,,Niue,2.0,f +47868,,Uzbekistan,1.0,f +10018,,,1.0,t +47936,100%,Mauritania,2.0,f +42964,,,1.0,f +37823,100%,Gambia,3.0,f +2361,,,3.0,f +13364,91%,Netherlands,21.0,f +18078,100%,Montserrat,13.0,t +16404,100%,San Marino,2.0,f +29747,,Micronesia,2.0,t +11186,,Somalia,1.0,f +8134,,Uzbekistan,1.0,f +15519,100%,,2.0,t +2361,,,3.0,f +27213,99%,Jersey,7.0,t +28645,,El Salvador,1.0,f +23868,67%,,15.0,t +23868,67%,,15.0,t +4525,98%,El Salvador,9.0,t +34426,100%,,1.0,f +20120,100%,Wallis and Futuna,10.0,f +13984,,Brazil,1.0,t +29217,,Anguilla,3.0,t +14481,,Mexico,1.0,f +42257,,Nicaragua,1.0,f +10164,,,1.0,t +40689,100%,Cuba,23.0,f +32446,33%,,2.0,f +35691,,,1.0,t +28473,,Zimbabwe,1.0,t +24613,,Niue,1.0,f +20297,80%,Montserrat,17.0,f +41307,100%,Lithuania,1.0,f +38090,100%,Vanuatu,1.0,f +40465,,,1.0,f +5113,100%,Suriname,1.0,f +34299,,,1.0,f +2769,100%,Maldives,4.0,f +4856,100%,Philippines,5.0,f +7264,100%,Philippines,9.0,f +49007,,Chile,1.0,f +33899,100%,Tanzania,2.0,f +16520,100%,Marshall Islands,22.0,f +44623,,Micronesia,1.0,f +30354,,Gibraltar,1.0,f +2248,,,5.0,f +23057,,France,16.0,t +49330,100%,Indonesia,1.0,f +26011,,,1.0,t +12756,100%,Marshall Islands,1.0,f +15702,80%,Greenland,2.0,f +33873,100%,Turks and Caicos Islands,8.0,t +28198,100%,,1.0,f +40036,,,2.0,f +24743,,Kenya,2.0,f +5620,,Mauritania,3.0,t +11352,60%,Russian Federation,1.0,f +6530,,Nicaragua,1.0,f +40238,100%,Denmark,1.0,f +33539,,,3.0,f +49435,100%,Marshall Islands,6.0,t +44169,97%,Portugal,39.0,f +13490,100%,French Guiana,2.0,f +39156,100%,Nicaragua,1.0,f +1767,100%,,1.0,f +35531,100%,Dominica,3.0,t +2524,100%,Costa Rica,4.0,t +11567,100%,Niger,31.0,t +24026,98%,Cape Verde,69.0,t +135,100%,Niue,1.0,f +3611,,,1.0,f +44945,90%,Marshall Islands,4.0,t +13127,100%,Niger,22.0,f +44191,100%,,3.0,f +11567,100%,Niger,31.0,t +43236,,,1.0,f +46195,89%,Maldives,6.0,t +23430,100%,Reunion,16.0,f +36134,,China,1.0,f +13127,100%,Niger,22.0,f +31092,,Senegal,19.0,f +20789,98%,Sao Tome and Principe,13.0,f +10711,93%,Uganda,108.0,t +29647,100%,Peru,1305.0,f +48077,,Bosnia and Herzegovina,2.0,f +29647,100%,Peru,1305.0,f +2769,100%,Maldives,4.0,f +7834,94%,Mexico,13.0,f +30790,,Reunion,2.0,f +29647,100%,Peru,1305.0,f +11464,100%,Papua New Guinea,11.0,f +43568,100%,Sao Tome and Principe,5.0,t +2769,100%,Maldives,4.0,f +31707,100%,Niger,48.0,f +6106,100%,Tonga,2.0,t +31480,50%,French Guiana,2.0,t +5747,100%,Zimbabwe,2.0,f +9515,,Guinea,1.0,t +13127,100%,Niger,22.0,f +37275,90%,Rwanda,3.0,f +27423,100%,,3.0,t +45846,86%,Montserrat,1.0,f +20580,,,1.0,f +16404,100%,San Marino,2.0,f +47775,100%,French Guiana,6.0,f +5142,50%,,1.0,f +6140,100%,Marshall Islands,3.0,f +2931,100%,,1.0,f +18707,100%,Jersey,3.0,f +6199,,Marshall Islands,1.0,f +44729,,,1.0,f +4226,100%,Finland,2.0,t +1049,100%,Sao Tome and Principe,1.0,f +26419,100%,Barbados,6.0,f +30417,100%,,1.0,f +5593,100%,Indonesia,2.0,f +11788,100%,,2.0,t +72,,Sao Tome and Principe,1.0,f +41379,100%,France,2.0,t +8225,95%,Barbados,31.0,f +1495,100%,Guernsey,1.0,f +9992,,Guernsey,1.0,f +1555,,,1.0,f +44966,100%,Guinea,21.0,f +12938,92%,Reunion,12.0,f +28719,100%,Russian Federation,4.0,t +44966,100%,Guinea,21.0,f +14016,,Turkmenistan,3.0,t +31231,,,1.0,t +46556,,Ecuador,1.0,f +47274,100%,Tonga,48.0,f +15872,100%,Tonga,6.0,t +17787,,Kenya,2.0,t +978,95%,Lithuania,29.0,f +18890,100%,,1.0,f +24419,,Malawi,2.0,f +44488,100%,Bahrain,1.0,f +15872,100%,Tonga,6.0,t +15872,100%,Tonga,6.0,t +38801,100%,,1.0,t +40944,100%,,1.0,t +29647,100%,Peru,1305.0,f +47602,97%,Puerto Rico,18.0,f +10998,,,1.0,f +1843,90%,Chad,1.0,f +26514,99%,Vietnam,10.0,f +31444,100%,Reunion,25.0,f +47602,97%,Puerto Rico,18.0,f +34678,89%,Croatia,4.0,t +34837,,,1.0,f +47602,97%,Puerto Rico,18.0,f +34925,100%,Maldives,1.0,f +21091,,Guinea,1.0,t +16597,100%,Ghana,1.0,f +31751,100%,Nicaragua,29.0,f +6232,,Guinea,15.0,t +27213,99%,Jersey,7.0,t +48789,,,1.0,f +6509,,,1.0,f +15355,90%,Lebanon,2.0,f +45467,,Sao Tome and Principe,1.0,t +45276,100%,France,4.0,t +31594,100%,Philippines,19.0,t +17846,75%,Brazil,1.0,f +49229,,Turkmenistan,1.0,t +46990,100%,,1.0,f +45011,,,1.0,f +46234,100%,Sao Tome and Principe,3.0,f +38621,100%,Tanzania,1.0,f +46118,100%,Nicaragua,11.0,f +37424,50%,Sao Tome and Principe,1.0,f +42786,,Nicaragua,1.0,t +47838,100%,,1.0,f +45000,100%,Montserrat,10.0,t +18841,,,1.0,t +35026,,Estonia,7.0,f +10711,93%,Uganda,108.0,t +909,100%,Croatia,18.0,t +4986,100%,Afghanistan,15.0,f +39806,100%,Anguilla,1.0,f +25448,100%,,2.0,f +30682,100%,Mauritania,2.0,f +27512,100%,Somalia,1.0,f +40464,100%,,1.0,f +19958,100%,Congo,40.0,t +9164,100%,Kenya,1.0,f +10268,,,4.0,t +38927,100%,Sao Tome and Principe,3.0,f +6011,100%,Cuba,1.0,f +10268,,,4.0,t +42463,,Lebanon,1.0,f +29211,100%,Malta,3.0,f +29211,100%,Malta,3.0,f +33252,100%,,1.0,t +34617,29%,Russian Federation,3.0,f +4269,,,1.0,f +37924,100%,Niger,2.0,f +26924,100%,Zimbabwe,3.0,f +44109,100%,United Kingdom,20.0,f +42492,,Isle of Man,1.0,f +44109,100%,United Kingdom,20.0,f +37500,100%,Turks and Caicos Islands,1.0,f +15929,,Rwanda,1.0,f +4330,94%,Ukraine,60.0,t +5640,100%,Niue,1.0,t +37468,,Uganda,1.0,t +27686,100%,Nicaragua,1.0,f +47911,,Maldives,1.0,f +5333,100%,,1.0,f +39879,80%,Guinea,2.0,t +44169,97%,Portugal,39.0,f +39998,100%,Micronesia,4.0,t +1714,100%,Costa Rica,3.0,f +3946,96%,Anguilla,4.0,t +45328,97%,Kiribati,10.0,f +21427,100%,United Kingdom,8.0,t +18866,0%,,1.0,f +43746,,France,1.0,f +49832,100%,Bouvet Island (Bouvetoya),1.0,f +21240,94%,Niger,130.0,f +19861,67%,Togo,1.0,f +44169,97%,Portugal,39.0,f +16186,,Cuba,1.0,f +16241,100%,Greenland,2.0,f +25403,,,1.0,t +25152,100%,Gambia,4.0,t +19628,,Lebanon,1.0,f +16089,83%,Maldives,5.0,f +45328,97%,Kiribati,10.0,f +28630,,,2.0,t +20705,,,1.0,f +38927,100%,Sao Tome and Principe,3.0,f +44169,97%,Portugal,39.0,f +42934,,Faroe Islands,1.0,t +12442,,,1.0,t +24489,100%,,1.0,f +16796,,Faroe Islands,2.0,t +32027,,Turkmenistan,2.0,t +36144,,Congo,1.0,f +46053,100%,Gambia,1.0,t +2,,Uzbekistan,1.0,t +11672,100%,Kiribati,6.0,t +25526,100%,Kiribati,3.0,f +28663,,,1.0,f +25550,100%,Nicaragua,8.0,t +1021,100%,Jersey,1.0,f +16402,,Uzbekistan,1.0,f +20670,,Gambia,1.0,t +21194,,,1.0,f +22135,100%,Tunisia,1.0,f +32680,,,1.0,t +46368,,Chile,1.0,f +11522,100%,Andorra,1.0,f +9550,,,1.0,f +13486,,,2.0,f +20993,,Kiribati,1.0,f +14569,100%,,1.0,f +27599,,Nauru,1.0,f +18748,,Turks and Caicos Islands,1.0,f +10833,100%,Turkmenistan,4.0,f +10833,100%,Turkmenistan,4.0,f +10833,100%,Turkmenistan,4.0,f +19943,63%,Isle of Man,34.0,f +19943,63%,Isle of Man,34.0,f +43134,100%,Suriname,6.0,f +36726,94%,Mexico,6.0,f +9354,100%,Spain,12.0,f +27913,,Puerto Rico,1.0,t +31547,50%,Monaco,1.0,f +10805,,Niue,1.0,f +27684,,Maldives,1.0,f +3368,,Niue,1.0,t +24118,98%,Ghana,21.0,t +32595,,,1.0,f +40196,100%,Chile,2.0,t +5166,100%,Ecuador,16.0,t +18311,100%,Lithuania,1.0,t +43030,,,1.0,t +3564,100%,Russian Federation,3.0,f +4820,100%,Lithuania,2.0,t +28828,100%,Isle of Man,198.0,t +29945,100%,Korea,4.0,f +25999,,French Polynesia,1.0,f +31383,100%,Spain,4.0,f +2722,77%,Niue,2.0,f +18863,90%,Estonia,9.0,f +39175,100%,,1.0,t +18863,90%,Estonia,9.0,f +2722,77%,Niue,2.0,f +18863,90%,Estonia,9.0,f +18615,,,1.0,f +22721,100%,Ecuador,109.0,f +210,,Libyan Arab Jamahiriya,1.0,t +9405,100%,Sao Tome and Principe,1.0,t +31202,90%,Kiribati,107.0,f +39728,100%,,1.0,t +7854,,Saint Helena,1.0,f +13403,96%,Maldives,21.0,t +31202,90%,Kiribati,107.0,f +44551,100%,Saint Helena,2.0,f +43849,100%,Gibraltar,1.0,f +24054,,,1.0,f +29110,,Sao Tome and Principe,3.0,t +49485,,Malta,1.0,f +1931,,,1.0,f +14217,,Malta,1.0,f +24454,100%,,1.0,f +4728,100%,Gibraltar,1.0,t +40762,92%,Niue,2.0,t +38025,,,1.0,f +21975,,Guernsey,1.0,t +10443,,Denmark,1.0,f +13865,,Denmark,2.0,f +7416,100%,Zimbabwe,1.0,f +36532,100%,Bouvet Island (Bouvetoya),1.0,f +30633,100%,Anguilla,1.0,f +27017,100%,Senegal,2.0,t +45328,97%,Kiribati,10.0,f +356,99%,Wallis and Futuna,32.0,t +1473,,,1.0,t +29909,100%,Maldives,1.0,f +32903,100%,,2.0,f +40575,,,1.0,f +44169,97%,Portugal,39.0,f +27170,,,1.0,f +1925,100%,,1.0,t +5054,100%,China,4.0,t +6838,96%,Spain,59.0,t +19105,,Denmark,1.0,f +41839,100%,Niue,2.0,f +45276,100%,France,4.0,t +25644,,French Guiana,1.0,f +10160,100%,Slovakia (Slovak Republic),1.0,f +38656,100%,Mauritania,8.0,f +47520,67%,,1.0,f +29024,100%,Russian Federation,1.0,f +24071,100%,Indonesia,22.0,f +18320,50%,Reunion,19.0,t +4176,100%,Gambia,1.0,f +18863,90%,Estonia,9.0,f +7597,100%,,2.0,t +32203,100%,Barbados,176.0,f +38459,,Faroe Islands,2.0,f +41597,,Bosnia and Herzegovina,1.0,f +31009,,Indonesia,1.0,f +18863,90%,Estonia,9.0,f +38652,100%,Uzbekistan,9.0,f +23434,,Niue,1.0,f +9252,,,2.0,f +11998,100%,Togo,3.0,f +48928,87%,French Guiana,5.0,f +35522,100%,Kiribati,10.0,f +43151,97%,Tonga,5.0,t +38895,,Lebanon,1.0,t +14768,100%,Chad,2.0,f +29647,100%,Peru,1305.0,f +39678,,Russian Federation,1.0,f +31904,,Niue,3.0,t +6855,100%,Sao Tome and Principe,1.0,f +3274,86%,Barbados,24.0,f +46968,,,1.0,f +4764,,,1.0,f +3580,,Turks and Caicos Islands,1.0,f +1013,100%,Venezuela,4.0,f +7861,,Uzbekistan,1.0,f +32225,,Reunion,1.0,f +38335,79%,Guinea,11.0,f +18000,100%,Slovakia (Slovak Republic),7.0,t +9396,,Netherlands,2.0,f +12673,,,1.0,f +3067,,Nicaragua,1.0,f +27926,,Bosnia and Herzegovina,2.0,f +45999,100%,,1.0,f +27462,100%,Jersey,1.0,f +43448,,Papua New Guinea,1.0,f +19682,100%,Faroe Islands,15.0,t +2744,,Gibraltar,5.0,f +44169,97%,Portugal,39.0,f +26289,100%,,1.0,f +5269,100%,,1.0,t +47153,,,1.0,f +37041,90%,Jersey,2.0,f +686,97%,Micronesia,7.0,t +46043,,Chad,3.0,t +23288,100%,,20.0,f +16108,,Monaco,1.0,f +18575,,Turkmenistan,1.0,t +38652,100%,Uzbekistan,9.0,f +22408,,Portugal,1.0,f +43092,83%,Anguilla,1.0,f +45828,90%,Togo,9.0,f +7159,,Gibraltar,1.0,t +31942,,,1.0,f +47752,,Nauru,1.0,f +36674,100%,Tanzania,1.0,t +15554,,Lebanon,2.0,f +18069,100%,Turkmenistan,2.0,f +48036,100%,Reunion,1.0,f +49773,100%,Zimbabwe,1.0,f +17795,100%,Uzbekistan,11.0,t +28834,,El Salvador,1.0,f +35162,,Indonesia,1.0,f +32629,100%,Maldives,3.0,f +19091,95%,Cook Islands,18.0,t +9413,100%,Tanzania,1.0,f +45328,97%,Kiribati,10.0,f +21276,,Ukraine,2.0,f +8372,100%,Cape Verde,1.0,f +26099,99%,Reunion,15.0,f +7514,100%,Marshall Islands,1.0,f +11406,,,1.0,f +36109,,Lebanon,1.0,t +28828,100%,Isle of Man,198.0,t +34645,,,1.0,f +15567,100%,Slovakia (Slovak Republic),4.0,f +28334,100%,,3.0,f +7264,100%,Philippines,9.0,f +46254,100%,Venezuela,4.0,f +31230,90%,Niue,1.0,f +7687,,Brunei Darussalam,1.0,f +20989,100%,Marshall Islands,8.0,f +5787,,,1.0,f +45428,,,1.0,f +23609,100%,Indonesia,4.0,f +8280,90%,Uzbekistan,3.0,f +1211,100%,Mexico,2.0,t +23609,100%,Indonesia,4.0,f +12215,100%,,2.0,f +17625,,Russian Federation,1.0,f +25553,,,1.0,f +24383,100%,Cape Verde,1.0,f +2009,,,1.0,t +38786,,Guinea,1.0,f +42696,50%,,1.0,f +28020,,,1.0,t +46002,,,1.0,f +40854,75%,Netherlands,3.0,t +11746,,,1.0,f +35738,,Nauru,1.0,t +2420,80%,,1.0,t +25064,83%,,1.0,f +34345,100%,Niger,3.0,f +23430,100%,Reunion,16.0,f +28208,100%,Afghanistan,1.0,f +43550,100%,Rwanda,16.0,t +43282,90%,Niger,6.0,t +29487,89%,Montserrat,3.0,t +36373,100%,Isle of Man,3.0,f +14551,,,1.0,f +37544,100%,Malta,2.0,f +26944,,Rwanda,1.0,f +23430,100%,Reunion,16.0,f +23430,100%,Reunion,16.0,f +10218,,Maldives,1.0,f +22331,99%,Rwanda,50.0,t +10711,93%,Uganda,108.0,t +3101,100%,Puerto Rico,27.0,f +20334,99%,Niger,171.0,t +19217,98%,Marshall Islands,46.0,f +21351,100%,Niue,3.0,f +33426,100%,Estonia,2.0,f +1338,90%,Venezuela,1.0,f +35223,100%,Guinea,4.0,t +863,100%,Indonesia,6.0,f +46479,,Cocos (Keeling) Islands,1.0,f +48867,100%,,1.0,f +30908,,,2.0,f +32996,,,1.0,f +1869,,Moldova,2.0,f +30346,,Monaco,1.0,f +12247,100%,Maldives,33.0,f +42496,,Turks and Caicos Islands,1.0,f +24121,,Niue,1.0,t +12247,100%,Maldives,33.0,f +12247,100%,Maldives,33.0,f +32679,100%,Papua New Guinea,1.0,t +13634,100%,France,1.0,f +12247,100%,Maldives,33.0,f +6732,80%,Jersey,1.0,f +16445,100%,,1.0,f +34617,29%,Russian Federation,3.0,f +23867,,,1.0,t +35223,100%,Guinea,4.0,t +10202,89%,Nicaragua,10.0,f +17776,,Kenya,1.0,f +33601,100%,,3.0,f +2629,0%,,1.0,f +43871,0%,Puerto Rico,3.0,f +32292,,Kenya,2.0,f +21240,94%,Niger,130.0,f +6281,100%,Uzbekistan,1.0,t +9926,100%,Uganda,19.0,f +35364,100%,Sao Tome and Principe,1.0,f +38898,,Bouvet Island (Bouvetoya),1.0,f +14231,,,1.0,f +48960,100%,,13.0,t +19908,100%,Marshall Islands,2.0,t +29647,100%,Peru,1305.0,f +12239,,,1.0,t +24651,,Kiribati,4.0,f +39068,100%,Djibouti,6.0,t +20174,100%,,2.0,f +32203,100%,Barbados,176.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2147,,,2.0,t +23034,99%,Monaco,54.0,f +46254,100%,Venezuela,4.0,f +17629,,,1.0,t +32203,100%,Barbados,176.0,f +35535,,,2.0,t +39081,,,1.0,f +43835,,,1.0,f +29647,100%,Peru,1305.0,f +29081,98%,Uzbekistan,18.0,f +38334,100%,Kiribati,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +29081,98%,Uzbekistan,18.0,f +18860,100%,,4.0,t +40793,100%,,75.0,t +41109,100%,Turkmenistan,1.0,f +45180,,,1.0,f +37293,92%,Russian Federation,15.0,f +38608,90%,,2.0,t +28143,100%,Faroe Islands,1.0,f +22331,99%,Rwanda,50.0,t +28763,67%,Rwanda,2.0,f +43496,100%,Montserrat,18.0,t +44830,100%,,1.0,f +11998,100%,Togo,3.0,f +33114,78%,Kiribati,1.0,f +28491,90%,,1.0,f +40993,100%,Montserrat,15.0,f +40993,100%,Montserrat,15.0,f +28622,,Sao Tome and Principe,1.0,f +42281,100%,Marshall Islands,39.0,f +35439,94%,United Kingdom,23.0,t +37305,,Tonga,1.0,f +1790,,Gibraltar,1.0,f +40300,,Bahrain,1.0,f +38761,100%,Indonesia,1.0,f +22138,100%,,1.0,t +11858,17%,Guinea,4.0,f +24401,0%,Niue,3.0,f +28640,100%,Uzbekistan,3.0,t +48929,100%,Niue,4.0,f +15150,,,1.0,f +35918,100%,Turkmenistan,1.0,f +3068,,,1.0,t +38423,100%,Niue,5.0,t +28632,,,2.0,t +38715,100%,,2.0,t +46254,100%,Venezuela,4.0,f +1750,,Micronesia,1.0,f +23501,100%,,1.0,f +28200,100%,,1.0,f +1013,100%,Venezuela,4.0,f +42799,100%,Svalbard & Jan Mayen Islands,1.0,t +3389,100%,Estonia,13.0,f +36,100%,Sao Tome and Principe,3.0,f +20521,,,7.0,t +4856,100%,Philippines,5.0,f +35440,100%,,3.0,f +1993,100%,Slovenia,2.0,f +24516,,Gambia,1.0,f +36771,70%,Chad,1.0,t +46099,98%,Uzbekistan,28.0,f +9387,,Faroe Islands,1.0,f +33823,78%,France,17.0,t +46218,100%,,2.0,f +46195,89%,Maldives,6.0,t +49541,100%,French Guiana,6.0,f +41,100%,Portugal,2.0,f +32505,100%,,2.0,f +39387,100%,Andorra,1.0,t +49584,100%,,3.0,f +11115,,Cocos (Keeling) Islands,2.0,f +41297,100%,Denmark,3.0,t +1993,100%,Slovenia,2.0,f +16488,,Zimbabwe,2.0,t +33475,,United Kingdom,1.0,f +35171,100%,French Guiana,1.0,f +29791,,,4.0,f +13107,75%,Papua New Guinea,1.0,f +37910,,,2.0,f +35285,,,1.0,t +36456,,Saint Helena,1.0,t +15109,67%,Turkmenistan,1.0,f +6972,,Grenada,1.0,f +41256,100%,,1.0,f +48459,,Ghana,1.0,t +28511,,Mauritania,2.0,f +24188,100%,Guinea,1.0,f +33931,,,1.0,f +28511,,Mauritania,2.0,f +4437,100%,Cuba,1.0,f +29080,,Guernsey,1.0,t +10548,100%,Cuba,1.0,f +22165,,Russian Federation,3.0,t +38117,,,2.0,f +46089,100%,Sao Tome and Principe,3.0,t +25599,100%,,1.0,t +28991,,Estonia,1.0,f +38117,,,2.0,f +15189,79%,China,21.0,f +14541,100%,Turkmenistan,1.0,t +37320,100%,Russian Federation,1.0,f +25606,,Nicaragua,1.0,f +9516,99%,Pakistan,45.0,t +5867,100%,,1.0,t +6614,,,1.0,f +33636,,Turkmenistan,1.0,f +11339,,Kiribati,2.0,t +31229,100%,Tunisia,2.0,f +47955,100%,Gambia,1.0,t +44060,100%,,2.0,t +49040,43%,Russian Federation,1.0,t +22379,100%,Isle of Man,5.0,t +27838,,Tonga,1.0,t +9807,100%,Isle of Man,1.0,f +22652,,Costa Rica,1.0,t +37565,100%,Slovenia,1.0,t +35742,,Lebanon,1.0,f +4506,70%,,1.0,f +27907,100%,Puerto Rico,21.0,f +5879,100%,Slovakia (Slovak Republic),2.0,f +34612,100%,,1.0,f +26596,60%,Jersey,2.0,t +25846,100%,,1.0,f +36348,,China,1.0,f +24326,,Jersey,1.0,f +20132,,,1.0,f +20073,,Papua New Guinea,1.0,f +1853,100%,Nicaragua,1.0,t +48717,100%,Togo,1.0,t +17956,,French Guiana,1.0,f +12711,,Niue,1.0,t +31560,,Chad,1.0,f +49857,90%,,1.0,f +34305,100%,,3.0,f +39000,,Anguilla,1.0,f +18459,100%,Zimbabwe,100.0,f +23737,,,1.0,f +46804,90%,Cape Verde,2.0,f +806,90%,Rwanda,2.0,t +49041,100%,Niue,1.0,f +33281,,Brazil,1.0,f +22333,,Croatia,2.0,t +26902,100%,Netherlands,2.0,t +26793,,,1.0,t +3845,,Bosnia and Herzegovina,1.0,f +3733,100%,France,2.0,f +22655,100%,,1.0,f +18531,100%,,1.0,t +38188,,,2.0,f +42311,,Lebanon,1.0,t +45552,93%,Nicaragua,12.0,t +13364,91%,Netherlands,21.0,f +39424,100%,,1.0,f +39526,100%,Tunisia,1.0,t +10113,,Gambia,1.0,f +34617,29%,Russian Federation,3.0,f +427,,,1.0,t +3551,,Gambia,1.0,f +15794,,Gambia,2.0,t +1399,,Nicaragua,2.0,t +38787,,Faroe Islands,10.0,f +44551,100%,Saint Helena,2.0,f +28280,100%,,2.0,t +40947,100%,French Guiana,2.0,t +38787,,Faroe Islands,10.0,f +9469,100%,United Kingdom,1.0,t +302,100%,Tunisia,20.0,f +32203,100%,Barbados,176.0,f +46912,0%,France,1.0,t +48022,,,1.0,f +39847,100%,Venezuela,1.0,f +49462,100%,Cuba,1.0,f +4267,100%,Senegal,22.0,t +20329,100%,Reunion,21.0,f +41530,70%,,1.0,f +48235,83%,,1.0,f +35522,100%,Kiribati,10.0,f +29647,100%,Peru,1305.0,f +28828,100%,Isle of Man,198.0,t +32203,100%,Barbados,176.0,f +18539,,,1.0,t +39312,94%,Monaco,4.0,t +22538,100%,Gambia,1.0,t +39312,94%,Monaco,4.0,t +12458,,Rwanda,2.0,t +21803,,,2.0,f +39312,94%,Monaco,4.0,t +11040,100%,Andorra,7.0,f +24239,100%,Kiribati,8.0,t +42424,100%,Congo,3.0,t +4870,100%,,3.0,t +36268,,,1.0,f +5769,,Wallis and Futuna,2.0,f +16397,100%,,2.0,f +49452,0%,Nauru,2.0,f +32203,100%,Barbados,176.0,f +47246,100%,Tonga,1.0,f +46672,,Isle of Man,2.0,f +23609,100%,Indonesia,4.0,f +19602,100%,Lithuania,24.0,f +45191,100%,Montserrat,3.0,t +3891,,,1.0,f +28639,100%,,1.0,t +12255,100%,,1.0,t +47571,,,1.0,f +21465,,Zimbabwe,1.0,f +24617,,,1.0,f +17102,30%,,1.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +22155,100%,Estonia,4.0,f +21654,96%,Solomon Islands,5.0,t +11596,100%,Anguilla,2.0,f +44169,97%,Portugal,39.0,f +30606,,,1.0,f +23201,,,2.0,f +8887,100%,Senegal,5.0,f +36900,100%,,1.0,t +40184,100%,,2.0,f +31019,100%,Ghana,5.0,f +27854,,,1.0,f +22938,100%,,1.0,t +1141,80%,,1.0,f +25402,100%,,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +2456,,Faroe Islands,2.0,f +29647,100%,Peru,1305.0,f +33594,100%,,1.0,f +10880,,,1.0,f +24149,100%,China,3.0,f +27750,100%,,1.0,f +12295,,,1.0,f +7689,,,1.0,f +19128,100%,Uzbekistan,12.0,t +1777,100%,,1.0,f +23305,100%,Philippines,11.0,f +23034,99%,Monaco,54.0,f +45111,100%,Sao Tome and Principe,420.0,f +3408,,Rwanda,2.0,f +17584,100%,Maldives,1.0,t +46380,,Venezuela,1.0,f +2006,,,1.0,f +11255,93%,Suriname,41.0,f +2014,,,1.0,f +20268,0%,,1.0,t +26739,,,1.0,f +44589,,,1.0,t +20500,,,1.0,f +20449,,,1.0,f +44857,100%,Zimbabwe,24.0,t +34175,100%,Monaco,1.0,f +42586,,,1.0,f +1127,,,1.0,f +32077,100%,,1.0,t +37341,,Pakistan,3.0,f +33601,100%,,3.0,f +16094,,,1.0,f +3899,,,1.0,f +23288,100%,,20.0,f +31202,90%,Kiribati,107.0,f +12485,,,1.0,f +7506,100%,,1.0,f +12019,100%,,1.0,f +37646,100%,Estonia,60.0,f +15358,100%,Bahrain,1.0,f +15189,79%,China,21.0,f +43994,100%,Niger,5.0,f +837,100%,,2.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +13188,71%,Lithuania,1.0,t +11290,100%,Reunion,12.0,f +38339,100%,Venezuela,2.0,f +42713,,,1.0,f +11290,100%,Reunion,12.0,f +11290,100%,Reunion,12.0,f +34139,,,1.0,f +7373,,Mauritania,9.0,t +26744,100%,,1.0,f +4228,,Niger,11.0,f +19984,100%,Ecuador,14.0,t +33042,,,1.0,f +25220,,Isle of Man,8.0,t +3237,100%,Turkmenistan,2.0,t +39338,50%,Micronesia,2.0,f +7701,100%,,4.0,f +7701,100%,,4.0,f +7701,100%,,4.0,f +27551,,Guinea,1.0,f +45737,,Tonga,29.0,t +12215,100%,,2.0,f +42151,,,1.0,f +10772,,,1.0,f +18761,100%,,1.0,t +2642,,Andorra,4.0,f +4611,100%,,1.0,f +46491,,Venezuela,12.0,t +20329,100%,Reunion,21.0,f +11381,100%,,1.0,f +7778,100%,Mauritania,7.0,t +47339,,,1.0,t +37838,,Lebanon,2.0,t +42752,,,1.0,f +7246,100%,Niue,6.0,f +870,,Somalia,1.0,f +7701,100%,,4.0,f +7453,,,1.0,f +14439,100%,Svalbard & Jan Mayen Islands,1.0,f +21007,,,1.0,f +44934,100%,Philippines,17.0,f +29647,100%,Peru,1305.0,f +43686,100%,Somalia,2.0,f +39408,100%,,1.0,f +6428,,Finland,1.0,f +20144,0%,Uzbekistan,1.0,t +32593,82%,,6.0,t +4190,100%,United Kingdom,2.0,f +221,,Afghanistan,7.0,t +37188,,Sao Tome and Principe,1.0,f +25374,100%,Tonga,8.0,f +23311,,,1.0,f +34042,100%,Marshall Islands,37.0,f +11839,,Uganda,11.0,f +34042,100%,Marshall Islands,37.0,f +5828,100%,Zimbabwe,1.0,t +35976,100%,,6.0,t +16338,,Estonia,1.0,f +30029,90%,El Salvador,8.0,f +8748,,,1.0,f +32553,,Guernsey,1.0,f +12140,,,1.0,t +29978,89%,Uzbekistan,26.0,f +23651,,,1.0,f +37299,,Estonia,2.0,f +29978,89%,Uzbekistan,26.0,f +38066,,,1.0,f +10711,93%,Uganda,108.0,t +11059,,Isle of Man,2.0,f +39585,,,1.0,f +41928,87%,Nicaragua,9.0,f +11839,,Uganda,11.0,f +14886,100%,Jersey,1.0,f +17322,95%,,30.0,f +37660,,,2.0,f +37660,,,2.0,f +24407,100%,,1.0,f +17322,95%,,30.0,f +34895,100%,Estonia,16.0,t +356,99%,Wallis and Futuna,32.0,t +26771,100%,,1.0,f +37055,0%,,1.0,f +44389,100%,Maldives,1.0,t +9474,100%,El Salvador,1.0,f +32404,,,1.0,t +1656,,,1.0,f +16515,100%,Indonesia,1.0,f +37812,,,2.0,f +46552,,,1.0,f +42401,100%,,1.0,f +16078,,,1.0,f +9568,,,1.0,f +31354,100%,Niger,8.0,t +31018,,,1.0,f +14442,,Costa Rica,1.0,f +40957,,,1.0,f +23772,100%,,1.0,t +27645,100%,,1.0,f +39760,,,1.0,f +21375,,,1.0,f +6098,100%,,1.0,f +34506,,,1.0,f +22711,100%,Isle of Man,1.0,f +21326,100%,Zimbabwe,2.0,f +8144,,,1.0,t +4756,100%,,1.0,f +11593,100%,Monaco,2.0,t +8203,100%,Uzbekistan,2.0,t +4540,100%,,2.0,f +46484,,,1.0,f +6347,100%,Kiribati,3.0,f +42618,100%,,1.0,f +34958,,,1.0,f +21206,,Isle of Man,2.0,t +32442,,,1.0,t +17557,100%,Gambia,1.0,f +29149,,,1.0,f +18407,100%,Rwanda,3.0,f +48858,100%,,1.0,f +32062,100%,,1.0,f +39577,,,1.0,f +20502,100%,Costa Rica,3.0,f +38954,100%,Niue,3.0,f +3647,100%,,2.0,f +3129,,Anguilla,1.0,f +31397,,Lebanon,2.0,f +3647,100%,,2.0,f +48853,,,1.0,f +261,100%,,1.0,t +5428,100%,,1.0,t +39237,100%,,1.0,t +656,,,2.0,f +3121,95%,Zimbabwe,9.0,t +29177,,,1.0,f +47091,90%,United Kingdom,3.0,f +14330,100%,Indonesia,1.0,t +13414,,,1.0,f +21148,,,1.0,f +7246,100%,Niue,6.0,f +33230,100%,Afghanistan,1.0,t +40325,93%,Costa Rica,4.0,f +973,100%,,1.0,t +27200,,,1.0,f +18460,60%,Monaco,6.0,f +38071,80%,Zimbabwe,4.0,f +2102,67%,Gambia,2.0,f +21289,,,1.0,t +47859,100%,Chile,2.0,t +9057,90%,Kiribati,11.0,t +43134,100%,Suriname,6.0,f +38706,100%,,1.0,f +26597,100%,,2.0,f +23977,100%,Malta,3.0,f +32422,,,2.0,f +7983,,Senegal,1.0,t +32422,,,2.0,f +89,,,1.0,f +39144,,,1.0,f +30905,100%,,1.0,f +41286,100%,Sao Tome and Principe,3.0,f +10427,100%,,1.0,t +42851,,,1.0,f +26611,100%,Papua New Guinea,2.0,f +38072,100%,Niue,3.0,t +41302,100%,,1.0,f +43396,,Tonga,2.0,f +30993,,,1.0,f +11227,100%,,1.0,f +17304,,,1.0,f +20001,,,1.0,f +41599,,,1.0,f +35211,,,1.0,t +25935,,,1.0,f +39385,100%,,1.0,t +29647,100%,Peru,1305.0,f +14284,,,1.0,f +48429,40%,Kiribati,2.0,t +24720,,,1.0,f +28401,100%,Marshall Islands,1.0,t +49245,,Isle of Man,1.0,f +43225,100%,,3.0,f +45940,100%,,1.0,f +35522,100%,Kiribati,10.0,f +13276,90%,United Kingdom,5.0,t +28370,0%,,1.0,f +35522,100%,Kiribati,10.0,f +5496,,Maldives,1.0,t +29111,100%,,1.0,t +19811,90%,Nicaragua,21.0,t +21214,,,1.0,f +31229,100%,Tunisia,2.0,f +20400,,,1.0,f +7336,100%,,1.0,f +41505,,,1.0,t +45528,100%,Guinea,4.0,t +28868,100%,Monaco,2.0,f +18644,,,1.0,f +16164,,,2.0,t +16164,,,2.0,t +26195,93%,Gambia,8.0,t +47865,80%,,4.0,t +46381,100%,,2.0,f +33510,100%,Guernsey,1.0,f +22808,0%,,1.0,f +6031,,Guernsey,3.0,t +8672,,,1.0,t +43396,,Tonga,2.0,f +27194,,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +29532,100%,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +32778,,,1.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +35856,,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +8601,,Angola,16.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +586,100%,Malawi,1.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +24500,,,3.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +8601,,Angola,16.0,f +17819,100%,Guinea,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +32556,90%,Estonia,11.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +41625,100%,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +10644,,Guernsey,4.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +36742,,Isle of Man,2.0,f +26155,,Niue,2.0,f +12976,100%,,1.0,f +21803,,,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +20521,,,7.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +29647,100%,Peru,1305.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +34904,100%,Estonia,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +37431,90%,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +32386,97%,Indonesia,19.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +14031,,Sao Tome and Principe,1.0,f +49452,0%,Nauru,2.0,f +18305,,,1.0,f +29363,100%,,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +29647,100%,Peru,1305.0,f +38720,,Mexico,1.0,f +46220,100%,,2.0,f +30743,,Anguilla,2.0,f +35418,,,1.0,f +8447,,,1.0,f +12575,100%,Saint Helena,3.0,f +14091,,,1.0,f +16325,,,1.0,f +18150,100%,,1.0,t +40304,100%,France,3.0,f +16047,80%,Uzbekistan,6.0,f +31450,100%,,1.0,f +40036,,,2.0,f +35270,,,2.0,f +17955,,Guernsey,1.0,t +1600,100%,,2.0,t +21048,,,1.0,f +34841,100%,Zimbabwe,22.0,t +11852,50%,Svalbard & Jan Mayen Islands,1.0,f +7246,100%,Niue,6.0,f +32261,,,1.0,t +287,100%,,1.0,f +45465,100%,,1.0,f +10077,100%,Brazil,3.0,f +10077,100%,Brazil,3.0,f +29363,100%,,2.0,f +42670,,El Salvador,1.0,t +29647,100%,Peru,1305.0,f +2938,90%,,1.0,f +8708,0%,Puerto Rico,1.0,f +22206,,Niue,1.0,f +33882,100%,,1.0,f +29647,100%,Peru,1305.0,f +26728,,,1.0,f +3043,,,1.0,f +22161,,,1.0,t +2839,100%,Gambia,1.0,t +10011,,,1.0,f +2357,80%,French Polynesia,2.0,f +9496,90%,Anguilla,1.0,t +48841,,,1.0,f +13152,100%,Russian Federation,2.0,f +42328,93%,Russian Federation,14.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +33823,78%,France,17.0,t +6470,,Isle of Man,1.0,f +37580,100%,Jersey,5.0,f +38171,,,1.0,f +45627,100%,,1.0,t +35872,100%,Faroe Islands,2.0,t +42328,93%,Russian Federation,14.0,f +5772,,,1.0,t +30331,67%,,1.0,f +20502,100%,Costa Rica,3.0,f +12088,100%,Kiribati,8.0,f +42328,93%,Russian Federation,14.0,f +42328,93%,Russian Federation,14.0,f +42328,93%,Russian Federation,14.0,f +29128,,,1.0,f +25747,,Zimbabwe,4.0,f +42328,93%,Russian Federation,14.0,f +12313,100%,,1.0,t +42328,93%,Russian Federation,14.0,f +47274,100%,Tonga,48.0,f +25464,100%,,1.0,f +27539,100%,,2.0,t +42328,93%,Russian Federation,14.0,f +42328,93%,Russian Federation,14.0,f +42147,90%,Congo,2.0,f +42328,93%,Russian Federation,14.0,f +42328,93%,Russian Federation,14.0,f +40689,100%,Cuba,23.0,f +24602,,,1.0,f +7316,,,2.0,f +551,95%,Rwanda,17.0,f +33873,100%,Turks and Caicos Islands,8.0,t +12575,100%,Saint Helena,3.0,f +12575,100%,Saint Helena,3.0,f +36230,,Niger,1.0,f +45330,,Congo,1.0,f +49336,,,1.0,t +43972,,,1.0,t +15189,79%,China,21.0,f +18936,100%,Nauru,1.0,f +4142,,,1.0,f +44052,100%,Denmark,4.0,f +18234,100%,Niue,1.0,f +6827,100%,Afghanistan,4.0,t +10144,,,1.0,f +39643,100%,Zimbabwe,3.0,t +49743,,,1.0,f +5750,,,1.0,f +26135,,,1.0,t +28828,100%,Isle of Man,198.0,t +48611,,,1.0,f +17780,,,2.0,f +47119,100%,Russian Federation,2.0,t +27633,,,1.0,f +25561,100%,Zimbabwe,1.0,f +16887,100%,China,11.0,f +40802,,,1.0,t +13923,100%,,2.0,f +27508,,,1.0,f +36114,100%,Guinea,4.0,t +32485,100%,,1.0,f +48444,,,1.0,f +4278,,,1.0,f +19894,,,1.0,f +18459,100%,Zimbabwe,100.0,f +39205,100%,France,2.0,f +149,,France,2.0,t +47176,100%,Isle of Man,2.0,f +18459,100%,Zimbabwe,100.0,f +42965,100%,Uzbekistan,11.0,t +18459,100%,Zimbabwe,100.0,f +35718,,,1.0,t +4813,,,1.0,f +18459,100%,Zimbabwe,100.0,f +45102,,,1.0,f +42363,100%,,2.0,t +17774,,,1.0,f +18459,100%,Zimbabwe,100.0,f +8104,100%,,4.0,f +5868,,,1.0,f +33540,,,1.0,t +39862,,Bosnia and Herzegovina,1.0,f +18839,100%,,1.0,f +22379,100%,Isle of Man,5.0,t +22985,100%,,1.0,f +18006,100%,,1.0,f +2642,,Andorra,4.0,f +11044,79%,,5.0,f +11125,100%,Nicaragua,12.0,t +19655,100%,Tonga,13.0,t +18459,100%,Zimbabwe,100.0,f +26497,,,1.0,t +31258,,,1.0,f +14905,,,1.0,f +37196,0%,,1.0,f +30677,,,1.0,f +38880,100%,,2.0,f +11269,,,1.0,f +634,,,1.0,f +47819,,,2.0,t +9484,100%,,1.0,f +7246,100%,Niue,6.0,f +41546,100%,Mauritania,21.0,f +38298,,,1.0,t +46443,75%,Sao Tome and Principe,1.0,t +18805,,,1.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +13807,100%,,2.0,f +12953,100%,Guernsey,1.0,f +34331,,,1.0,f +20659,,Croatia,3.0,t +661,,Lebanon,1.0,t +48133,,Isle of Man,45.0,f +43689,0%,,1.0,f +35641,,Netherlands,15.0,t +33952,,,1.0,f +16887,100%,China,11.0,f +18459,100%,Zimbabwe,100.0,f +6077,100%,,1.0,t +40084,70%,,3.0,f +12839,,Bosnia and Herzegovina,1.0,t +37451,100%,,2.0,t +49929,,Faroe Islands,1.0,f +24026,98%,Cape Verde,69.0,t +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +24388,,,1.0,f +18459,100%,Zimbabwe,100.0,f +28897,100%,,2.0,t +24301,,France,1.0,f +18459,100%,Zimbabwe,100.0,f +24490,,Svalbard & Jan Mayen Islands,1.0,f +7268,100%,Denmark,3.0,f +40642,90%,,1.0,f +10417,100%,,1.0,f +46195,89%,Maldives,6.0,t +45490,95%,Barbados,6.0,f +29647,100%,Peru,1305.0,f +42555,100%,,1.0,f +15254,100%,,1.0,f +1949,,India,40.0,f +22413,20%,Chile,1.0,f +3218,100%,Zimbabwe,6.0,f +40979,,Afghanistan,3.0,t +40793,100%,,75.0,t +18459,100%,Zimbabwe,100.0,f +22721,100%,Ecuador,109.0,f +37451,100%,,2.0,t +35595,,,1.0,f +4720,,Nicaragua,1.0,f +12486,100%,,2.0,f +12486,100%,,2.0,f +23920,,,2.0,f +41878,91%,Maldives,47.0,f +17241,100%,,2.0,t +19129,,Malta,5.0,t +7552,,,2.0,f +36311,,,2.0,f +22295,,,2.0,t +6822,,,1.0,f +11977,,,1.0,t +22923,,Lithuania,1.0,f +16520,100%,Marshall Islands,22.0,f +46628,100%,,2.0,t +29647,100%,Peru,1305.0,f +38529,90%,Brazil,2.0,f +18314,100%,,2.0,f +29647,100%,Peru,1305.0,f +1234,,,1.0,t +10711,93%,Uganda,108.0,t +25778,100%,,1.0,t +37980,75%,Kiribati,1.0,f +46914,,,1.0,t +36879,100%,,1.0,f +28288,100%,,1.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +32748,100%,Argentina,8.0,f +10711,93%,Uganda,108.0,t +37382,67%,,1.0,f +42443,97%,Tonga,7.0,t +7785,,,1.0,f +49287,,,1.0,f +12357,100%,Gambia,4.0,f +24820,100%,Niue,2.0,f +48721,,,1.0,t +28139,,,1.0,t +19795,100%,Estonia,8.0,f +20930,63%,,3.0,f +36157,100%,Tonga,6.0,t +46196,,,2.0,t +1919,,,4.0,f +33261,,,1.0,f +12527,,,1.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +8269,100%,,1.0,t +49037,57%,Maldives,1.0,f +49942,,,1.0,f +5783,100%,,1.0,t +43443,100%,,1.0,t +45552,93%,Nicaragua,12.0,t +46998,100%,Togo,2.0,f +12778,,,1.0,t +38688,,,1.0,f +34052,100%,Svalbard & Jan Mayen Islands,2.0,f +30454,100%,,1.0,f +14819,100%,Barbados,3.0,f +34805,,,1.0,f +402,100%,,1.0,f +44085,100%,,2.0,f +23664,,,1.0,t +42989,100%,,2.0,f +18510,,,1.0,f +16887,100%,China,11.0,f +37961,,,1.0,f +16520,100%,Marshall Islands,22.0,f +41305,100%,Togo,2.0,f +1440,100%,Gibraltar,4.0,t +16520,100%,Marshall Islands,22.0,f +16520,100%,Marshall Islands,22.0,f +7698,,,1.0,f +30051,,Nauru,1.0,f +9620,,,1.0,f +3186,,,1.0,f +47392,,,1.0,t +4028,100%,,3.0,t +45445,,,1.0,f +24528,,,1.0,f +9490,,,1.0,f +15755,100%,Tonga,2.0,t +12387,,,1.0,t +6778,,,1.0,f +22227,100%,Slovakia (Slovak Republic),2.0,t +37307,75%,Nicaragua,2.0,f +24964,,,1.0,t +14117,,,1.0,f +7874,,Niue,1.0,f +29651,,Monaco,1.0,t +8177,,,1.0,f +41878,91%,Maldives,47.0,f +41748,100%,,2.0,f +27935,,,1.0,f +41546,100%,Mauritania,21.0,f +41878,91%,Maldives,47.0,f +24659,100%,,1.0,f +43284,100%,,1.0,f +22337,100%,,1.0,f +47726,100%,Guinea,1.0,f +17322,95%,,30.0,f +2548,97%,Marshall Islands,3.0,f +23779,,,1.0,f +26137,,Estonia,2.0,f +31625,,,1.0,f +23111,,,1.0,f +33454,100%,Tonga,7.0,f +34123,100%,Portugal,1.0,f +1556,,Congo,1.0,f +33773,,,1.0,t +17322,95%,,30.0,f +12356,0%,Isle of Man,1.0,t +44515,,,1.0,t +15819,,Costa Rica,1.0,t +16275,98%,Maldives,24.0,f +15326,,,1.0,f +5150,,,1.0,f +26017,100%,Croatia,1.0,f +23728,,Saint Helena,2.0,f +7037,,,1.0,f +1949,,India,40.0,f +22877,,,1.0,f +20770,100%,,2.0,f +6838,96%,Spain,59.0,t +36206,86%,Russian Federation,10.0,f +1949,,India,40.0,f +1232,100%,,21.0,f +1949,,India,40.0,f +34832,80%,Sao Tome and Principe,7.0,t +1636,75%,,1.0,f +27682,,,1.0,f +24896,100%,Algeria,50.0,t +9481,,Somalia,1.0,f +1949,,India,40.0,f +1949,,India,40.0,f +11677,100%,,8.0,f +49565,92%,Uganda,14.0,f +1949,,India,40.0,f +49565,92%,Uganda,14.0,f +19272,,,1.0,f +49565,92%,Uganda,14.0,f +793,,,1.0,t +49565,92%,Uganda,14.0,f +28477,100%,Guinea,2.0,t +29596,,Nauru,3.0,f +23988,,Niue,4.0,f +26780,100%,Guinea,7.0,f +3713,0%,El Salvador,1.0,f +47859,100%,Chile,2.0,t +36127,100%,,16.0,f +16541,0%,,1.0,f +17492,,Estonia,1.0,t +14084,,,1.0,f +36127,100%,,16.0,f +2618,,,1.0,f +9802,,Indonesia,38.0,t +39892,100%,Tonga,31.0,t +21994,,,1.0,f +42443,97%,Tonga,7.0,t +47274,100%,Tonga,48.0,f +15054,,,1.0,t +20188,,,1.0,t +48324,,Congo,1.0,f +37868,100%,,1.0,f +9621,,,1.0,t +2791,,,1.0,f +10445,100%,,1.0,t +6982,,Lithuania,1.0,f +7606,,,1.0,f +22306,,,1.0,f +8203,100%,Uzbekistan,2.0,t +16572,,,1.0,f +42482,0%,Russian Federation,3.0,f +12835,,,1.0,f +33714,,Nauru,1.0,f +25709,,,1.0,f +45733,90%,Tonga,1.0,f +13526,,,1.0,f +26582,100%,,1.0,t +43355,,,1.0,f +1942,100%,Tanzania,2.0,t +356,99%,Wallis and Futuna,32.0,t +12270,100%,,1.0,f +16275,98%,Maldives,24.0,f +30849,,,2.0,f +16275,98%,Maldives,24.0,f +22456,100%,,1.0,f +25479,,,2.0,t +41298,,Kiribati,2.0,f +4965,100%,,3.0,t +47276,100%,,1.0,f +47006,100%,,1.0,t +27337,100%,,2.0,f +41899,,,1.0,f +3790,100%,Netherlands,16.0,f +1949,,India,40.0,f +30437,,,1.0,t +920,100%,,2.0,f +36127,100%,,16.0,f +48409,,Estonia,60.0,t +36127,100%,,16.0,f +4144,100%,,1.0,t +13294,100%,,1.0,f +40742,100%,,1.0,t +1949,,India,40.0,f +3790,100%,Netherlands,16.0,f +1949,,India,40.0,f +48409,,Estonia,60.0,t +1949,,India,40.0,f +10320,92%,Tonga,10.0,f +27927,100%,,1.0,f +29589,,French Guiana,1.0,f +18306,90%,Jersey,5.0,f +39875,,,1.0,f +40979,,Afghanistan,3.0,t +27127,100%,Marshall Islands,9.0,t +25368,,,1.0,f +1949,,India,40.0,f +29647,100%,Peru,1305.0,f +8225,95%,Barbados,31.0,f +6945,100%,Cuba,8.0,f +5947,,Zimbabwe,1.0,f +10320,92%,Tonga,10.0,f +14407,100%,El Salvador,3.0,f +20521,,,7.0,t +25475,,,1.0,f +10320,92%,Tonga,10.0,f +49055,,Zimbabwe,2.0,t +13116,,,1.0,f +3047,100%,Brazil,1.0,f +18438,,,1.0,f +3571,100%,Bouvet Island (Bouvetoya),3.0,t +3395,,,1.0,t +1286,,,1.0,f +38075,100%,Malawi,2.0,f +46824,,Sao Tome and Principe,3.0,f +9541,,,1.0,t +46872,100%,Nicaragua,9.0,f +21908,100%,Niue,49.0,f +4870,100%,,3.0,t +8413,100%,Gambia,1.0,f +11616,100%,Uzbekistan,12.0,t +25370,,Kiribati,1.0,f +194,,,1.0,f +16275,98%,Maldives,24.0,f +12573,100%,,1.0,f +20351,100%,,1.0,t +33084,33%,,1.0,f +27728,,,1.0,f +14984,100%,,2.0,f +8593,100%,,1.0,f +46127,,Uzbekistan,2.0,f +24629,,,1.0,t +41297,100%,Denmark,3.0,t +22143,100%,Venezuela,3.0,t +38656,100%,Mauritania,8.0,f +21828,,,1.0,t +16275,98%,Maldives,24.0,f +7292,67%,,1.0,f +44714,,Ghana,4.0,f +45468,100%,,4.0,f +388,,Croatia,1.0,f +23439,100%,Croatia,2.0,t +14407,100%,El Salvador,3.0,f +39215,,,1.0,t +33898,,,1.0,f +19134,100%,Uzbekistan,1.0,f +10307,100%,,1.0,t +34841,100%,Zimbabwe,22.0,t +15355,90%,Lebanon,2.0,f +4770,,,1.0,t +37540,,Barbados,1.0,f +36096,,,1.0,f +46400,93%,,2.0,f +16275,98%,Maldives,24.0,f +22754,100%,Isle of Man,3.0,t +38323,100%,,1.0,f +8775,,,1.0,t +44608,83%,,1.0,t +16275,98%,Maldives,24.0,f +39758,80%,,2.0,f +37646,100%,Estonia,60.0,f +35780,,,1.0,f +16887,100%,China,11.0,f +17460,,,1.0,t +6894,80%,Estonia,47.0,t +2841,100%,,1.0,f +45,,,1.0,f +35127,86%,,1.0,f +16915,,Jersey,2.0,f +32818,100%,,2.0,f +22091,100%,Faroe Islands,9.0,f +36660,,,1.0,f +40225,100%,Uganda,3.0,t +29312,100%,,1.0,t +687,100%,Kiribati,2.0,t +26333,100%,Svalbard & Jan Mayen Islands,1.0,t +43321,100%,France,40.0,f +6932,,,1.0,t +3689,100%,,1.0,t +909,100%,Croatia,18.0,t +19106,,,1.0,f +47713,100%,Turks and Caicos Islands,1.0,t +38458,100%,Montserrat,6.0,t +32081,,,1.0,f +21908,100%,Niue,49.0,f +21908,100%,Niue,49.0,f +7030,100%,Guernsey,6.0,f +10762,,,1.0,f +18012,100%,,2.0,t +30022,33%,French Guiana,2.0,f +10174,,,1.0,f +48293,100%,,2.0,t +32237,,,1.0,f +41502,,,1.0,t +15813,,,1.0,f +32203,100%,Barbados,176.0,f +45793,100%,Niue,5.0,t +16679,100%,Kenya,2.0,f +45389,100%,Brunei Darussalam,1.0,f +36504,100%,United Kingdom,1.0,f +18877,100%,Isle of Man,3.0,t +39689,100%,Libyan Arab Jamahiriya,1.0,t +29647,100%,Peru,1305.0,f +32203,100%,Barbados,176.0,f +45553,90%,Brazil,16.0,t +47134,,,1.0,f +16275,98%,Maldives,24.0,f +32203,100%,Barbados,176.0,f +23117,82%,,33.0,f +34733,100%,Isle of Man,1.0,f +41878,91%,Maldives,47.0,f +23117,82%,,33.0,f +16275,98%,Maldives,24.0,f +18247,95%,Iran,80.0,t +23117,82%,,33.0,f +15859,100%,Zimbabwe,1.0,f +19610,100%,,1.0,f +32203,100%,Barbados,176.0,f +43083,100%,,1.0,f +2078,,Sao Tome and Principe,1.0,f +38302,,,1.0,t +3788,100%,Marshall Islands,2.0,f +21867,,,1.0,f +49171,,,1.0,f +664,100%,,1.0,f +3826,,Kiribati,1.0,f +31291,,Zimbabwe,1.0,t +39644,,,1.0,f +307,,,1.0,f +18000,100%,Slovakia (Slovak Republic),7.0,t +16895,,Indonesia,4.0,f +28188,100%,Nicaragua,4.0,t +21565,,,1.0,f +16603,,Tunisia,5.0,f +7223,,,4.0,f +16895,,Indonesia,4.0,f +10282,,,1.0,t +39776,,,1.0,f +18368,100%,Gambia,2.0,f +43978,100%,,1.0,t +31604,,,1.0,t +25909,,,1.0,f +5125,100%,Russian Federation,2.0,f +14777,90%,,2.0,f +24954,60%,Christmas Island,2.0,f +35633,,,1.0,f +39322,100%,,1.0,f +35841,100%,Saint Helena,4.0,f +21519,100%,Jersey,3.0,f +1837,,,1.0,f +41232,100%,,3.0,f +7246,100%,Niue,6.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +791,,,1.0,f +29647,100%,Peru,1305.0,f +17796,,,1.0,f +39639,100%,Niue,19.0,f +6679,,,1.0,t +29647,100%,Peru,1305.0,f +44081,100%,,1.0,f +48133,,Isle of Man,45.0,f +35104,100%,Switzerland,2.0,f +18121,100%,Bouvet Island (Bouvetoya),8.0,f +17582,,,1.0,f +48231,,,1.0,f +21908,100%,Niue,49.0,f +6838,96%,Spain,59.0,t +8601,,Angola,16.0,f +27652,100%,El Salvador,5.0,f +8415,90%,,1.0,f +19456,,,1.0,f +43134,100%,Suriname,6.0,f +33314,,Croatia,1.0,f +22314,,,1.0,f +19019,97%,Nicaragua,1484.0,f +11044,79%,,5.0,f +11044,79%,,5.0,f +38219,,,1.0,f +21671,0%,Tonga,1.0,f +9535,100%,Gambia,1.0,t +19019,97%,Nicaragua,1484.0,f +21855,,Lebanon,2.0,t +1258,,Maldives,1.0,t +221,,Afghanistan,7.0,t +4330,94%,Ukraine,60.0,t +6209,80%,Nicaragua,9.0,t +26196,100%,,1.0,t +8438,62%,Nicaragua,9.0,t +20263,99%,Maldives,35.0,t +35221,100%,Turks and Caicos Islands,30.0,t +11658,67%,,2.0,f +33188,,Indonesia,1.0,f +5246,100%,,1.0,f +27292,,,1.0,t +4596,100%,,1.0,f +6209,80%,Nicaragua,9.0,t +49827,,Faroe Islands,1.0,f +39232,80%,,1.0,f +43532,,,1.0,f +25337,100%,Rwanda,2.0,f +20037,,Kenya,2.0,t +33246,25%,Guernsey,1.0,f +20720,100%,,4.0,f +2283,,,1.0,f +48940,80%,,1.0,f +28494,100%,,1.0,f +35186,100%,,1.0,f +30335,,,1.0,f +16894,100%,,1.0,f +6347,100%,Kiribati,3.0,f +13847,100%,Turks and Caicos Islands,14.0,f +17780,,,2.0,f +13847,100%,Turks and Caicos Islands,14.0,f +12811,,Bosnia and Herzegovina,1.0,t +13847,100%,Turks and Caicos Islands,14.0,f +8601,,Angola,16.0,f +15298,,,1.0,f +4745,100%,Croatia,119.0,f +1949,,India,40.0,f +34195,100%,,1.0,t +1949,,India,40.0,f +1949,,India,40.0,f +48091,,,1.0,f +10404,,,1.0,f +4745,100%,Croatia,119.0,f +13091,100%,Estonia,1.0,f +4745,100%,Croatia,119.0,f +45138,79%,Barbados,14.0,f +24855,,Bosnia and Herzegovina,2.0,t +25021,100%,Palestinian Territory,2.0,f +42766,100%,United Kingdom,1.0,f +20147,90%,,2.0,f +18201,,Kiribati,5.0,f +4045,,Palestinian Territory,1.0,f +46147,100%,,1.0,f +6072,,,1.0,f +5667,,,1.0,t +10711,93%,Uganda,108.0,t +15695,100%,Malawi,2.0,t +8453,100%,Rwanda,6.0,t +4965,100%,,3.0,t +12938,92%,Reunion,12.0,f +43201,,,1.0,t +23157,0%,,1.0,f +4330,94%,Ukraine,60.0,t +31809,80%,,1.0,t +32154,,,1.0,f +1173,100%,,1.0,f +30985,100%,Uzbekistan,5.0,f +32203,100%,Barbados,176.0,f +16377,,Gambia,5.0,f +8155,100%,,1.0,f +8370,,Portugal,1.0,f +33961,100%,Indonesia,3.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +17394,0%,Nicaragua,49.0,f +29428,,Uzbekistan,1.0,f +44709,,,1.0,f +27181,,,1.0,f +32470,,,1.0,f +17094,,Cuba,1.0,f +16149,,,1.0,t +46099,98%,Uzbekistan,28.0,f +18774,100%,Uzbekistan,4.0,f +33516,100%,Brunei Darussalam,1.0,f +46099,98%,Uzbekistan,28.0,f +33851,100%,,3.0,f +6649,,,1.0,t +2396,,,1.0,t +1507,,,1.0,t +25193,0%,,2.0,t +33454,100%,Tonga,7.0,f +33851,100%,,3.0,f +2116,,Jersey,1.0,t +32206,,,1.0,f +4133,90%,Maldives,6.0,f +32484,,,1.0,t +20828,100%,Turks and Caicos Islands,2.0,f +26577,,,1.0,f +30243,100%,Mauritania,2.0,t +46741,100%,,1.0,f +9920,,,1.0,t +90,,Tonga,1.0,f +23102,0%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20859,,,1.0,t +35342,,,1.0,f +18201,,Kiribati,5.0,f +32038,100%,Indonesia,35.0,f +7658,100%,Switzerland,2.0,f +21398,,Russian Federation,2.0,t +9516,99%,Pakistan,45.0,t +23282,,,2.0,f +11872,,,13.0,f +29647,100%,Peru,1305.0,f +48700,,,1.0,f +22010,,,1.0,f +20560,100%,,1.0,t +29647,100%,Peru,1305.0,f +23282,,,2.0,f +22474,,,1.0,f +46180,,,1.0,f +46558,,,1.0,t +41909,,,1.0,f +46321,,,1.0,f +3460,,,1.0,f +16520,100%,Marshall Islands,22.0,f +22042,,,1.0,f +45492,100%,Mauritania,2.0,f +4927,,,1.0,f +3314,100%,Slovakia (Slovak Republic),10.0,f +41806,100%,,1.0,t +7032,,,1.0,f +40804,,,1.0,f +46428,100%,Niue,4.0,f +50050,50%,,1.0,f +2597,100%,Nicaragua,13.0,t +35096,,,2.0,f +32596,100%,Gibraltar,2.0,f +37129,,,1.0,t +34058,,,1.0,t +28797,100%,,2.0,f +49845,100%,Micronesia,1.0,f +23368,100%,,1.0,f +45748,0%,,1.0,f +48953,,,1.0,t +39380,,,1.0,t +22957,100%,Kiribati,3.0,f +7838,100%,,1.0,f +41547,100%,,1.0,f +48541,,Russian Federation,2.0,t +10699,,,3.0,t +11133,100%,Philippines,2.0,f +45367,,Niue,2.0,f +34729,,,1.0,f +6009,,Estonia,1.0,f +32178,,Niue,4.0,t +38832,97%,,15.0,f +22694,,El Salvador,1.0,f +13151,,,1.0,t +38832,97%,,15.0,f +14848,100%,,1.0,f +17055,43%,,1.0,f +47239,100%,,2.0,f +20716,100%,,1.0,f +46808,60%,Rwanda,3.0,f +33109,,,4.0,f +22239,100%,,2.0,t +29183,100%,,1.0,t +49378,90%,,2.0,t +34842,,,1.0,f +22155,100%,Estonia,4.0,f +13192,100%,,1.0,f +10367,,,2.0,f +34505,,Uzbekistan,4.0,f +18109,100%,Anguilla,2.0,f +37286,100%,,2.0,f +7018,85%,,1.0,t +11527,100%,,1.0,f +28355,100%,Gambia,1.0,f +43185,,,1.0,f +28999,,,1.0,f +5757,100%,Portugal,2.0,f +1784,,,1.0,f +34895,100%,Estonia,16.0,t +46872,100%,Nicaragua,9.0,f +32765,,,1.0,t +26099,99%,Reunion,15.0,f +44327,,,1.0,f +2868,67%,,1.0,f +43591,,,1.0,f +35865,0%,,1.0,f +28184,,,1.0,f +8603,,,1.0,f +32540,100%,Anguilla,1.0,f +37070,,,1.0,f +13335,,,1.0,f +5296,100%,Mauritania,4.0,f +614,67%,,1.0,f +39694,,,1.0,f +29521,,Gambia,4.0,t +36989,78%,,1.0,f +20044,,,1.0,f +18542,71%,,1.0,t +5296,100%,Mauritania,4.0,f +40816,,,1.0,f +5296,100%,Mauritania,4.0,f +12680,100%,Malta,1.0,f +12069,100%,,1.0,f +12523,29%,,1.0,t +37350,100%,Nicaragua,1.0,f +11744,100%,Kenya,4.0,f +41236,,,1.0,f +31092,,Senegal,19.0,f +4222,70%,,1.0,f +38600,,Croatia,2.0,t +14910,,,1.0,f +48923,100%,,1.0,t +18516,100%,Congo,3.0,t +2367,100%,Kiribati,9.0,f +13551,,,1.0,f +44544,0%,Gibraltar,2.0,f +28828,100%,Isle of Man,198.0,t +14572,,,1.0,t +28828,100%,Isle of Man,198.0,t +38062,,,1.0,t +13495,100%,,1.0,f +17885,100%,Kiribati,1.0,t +29156,,,1.0,t +26118,70%,Uzbekistan,1.0,f +14323,100%,,1.0,f +9506,,,1.0,f +37558,90%,Russian Federation,1.0,t +9664,100%,,1.0,t +49588,100%,Djibouti,1.0,f +23582,98%,Montserrat,17.0,f +29355,100%,,1.0,f +25129,,Croatia,1.0,f +31790,100%,Russian Federation,2.0,f +44793,100%,Guernsey,1.0,f +43551,100%,Niue,1.0,f +27340,100%,Kiribati,2.0,f +22515,,,1.0,t +30576,100%,,1.0,f +25594,100%,,1.0,f +15703,,,4.0,f +16591,,,1.0,f +25476,100%,Fiji,11.0,f +49802,100%,Isle of Man,1.0,f +11559,,,1.0,f +39109,77%,Ukraine,24.0,t +25476,100%,Fiji,11.0,f +5957,,,1.0,f +10325,100%,Gambia,34.0,t +45562,100%,,3.0,f +38335,79%,Guinea,11.0,f +11708,100%,,1.0,t +33834,,,1.0,f +29647,100%,Peru,1305.0,f +36947,100%,Niue,1.0,f +4646,100%,Maldives,8.0,f +38335,79%,Guinea,11.0,f +47035,100%,,3.0,t +36524,100%,Saint Helena,8.0,t +19157,,,2.0,f +46234,100%,Sao Tome and Principe,3.0,f +8798,,Greenland,1.0,f +43188,100%,Micronesia,2.0,f +39343,100%,,1.0,f +10325,100%,Gambia,34.0,t +29647,100%,Peru,1305.0,f +45004,,,2.0,f +43318,,,1.0,t +28861,0%,,1.0,f +26574,,,1.0,f +25022,,,1.0,f +32203,100%,Barbados,176.0,f +39143,89%,,33.0,f +46611,94%,,7.0,f +46611,94%,,7.0,f +46611,94%,,7.0,f +46611,94%,,7.0,f +46611,94%,,7.0,f +9262,,,1.0,f +20972,,,1.0,f +4011,100%,French Guiana,3.0,f +36825,,,1.0,f +6824,0%,,1.0,t +20549,100%,Monaco,3.0,t +36598,100%,Lithuania,2.0,f +15119,0%,Sao Tome and Principe,1.0,f +2874,,,1.0,f +38177,,French Guiana,1.0,t +45025,90%,,1.0,f +42238,,,1.0,f +48756,100%,Maldives,59.0,f +4011,100%,French Guiana,3.0,f +47834,100%,,1.0,f +14876,100%,Gambia,1.0,f +46330,100%,,1.0,f +11815,100%,Russian Federation,2.0,t +20263,99%,Maldives,35.0,t +27802,,,1.0,t +45828,90%,Togo,9.0,f +21350,,,1.0,f +47289,,Faroe Islands,1.0,t +30600,,,1.0,f +13388,100%,Brazil,5.0,f +40004,,,1.0,f +32904,,,1.0,f +34021,,,1.0,f +48579,,,1.0,f +12430,,Finland,1.0,t +7331,99%,Indonesia,8.0,t +38516,95%,Pakistan,9.0,f +2179,25%,Reunion,5.0,f +4174,100%,,1.0,f +10467,100%,Nicaragua,4.0,f +21173,,Niue,3.0,t +32701,,Svalbard & Jan Mayen Islands,1.0,f +3542,100%,,1.0,f +24203,,,2.0,t +12832,,,1.0,f +32223,100%,,1.0,t +4909,90%,,2.0,f +25448,100%,,2.0,f +8984,,,1.0,f +13293,,,1.0,f +6181,100%,Zimbabwe,4.0,f +3648,100%,,1.0,t +21969,,Faroe Islands,1.0,f +1949,,India,40.0,f +46903,,,1.0,f +9994,100%,,1.0,f +1949,,India,40.0,f +14434,,,1.0,f +13046,,,1.0,f +41272,100%,,1.0,f +40111,,,1.0,f +24761,78%,Niue,1.0,f +40313,,,1.0,f +2744,,Gibraltar,5.0,f +2890,100%,,1.0,f +37111,,,1.0,f +8766,100%,,1.0,t +7970,90%,Isle of Man,3.0,t +29647,100%,Peru,1305.0,f +48575,67%,Jersey,3.0,f +11712,95%,Monaco,4.0,f +38787,,Faroe Islands,10.0,f +32800,,,1.0,f +7734,,,1.0,t +40433,100%,Russian Federation,3.0,f +2743,97%,China,23.0,f +45689,,,1.0,f +23340,,,1.0,f +11761,100%,,1.0,f +20613,100%,,1.0,t +39371,100%,Fiji,1.0,f +18078,100%,Montserrat,13.0,t +22857,100%,,2.0,t +37110,100%,Afghanistan,2.0,f +21232,90%,Kiribati,2.0,t +47101,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +11616,100%,Uzbekistan,12.0,t +747,100%,Gambia,2.0,f +19433,50%,France,2.0,f +47716,,,1.0,f +50041,100%,Isle of Man,2.0,t +41297,100%,Denmark,3.0,t +34306,91%,Wallis and Futuna,30.0,t +31735,,,1.0,f +31613,100%,Monaco,1.0,f +4330,94%,Ukraine,60.0,t +34306,91%,Wallis and Futuna,30.0,t +23176,,Guernsey,2.0,f +24509,,,1.0,f +13954,,Lebanon,2.0,f +28172,100%,Isle of Man,1.0,f +28489,90%,Malta,5.0,t +40344,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +24444,,Estonia,1.0,f +20187,100%,Cuba,3.0,t +12505,,Portugal,1.0,f +16725,100%,Turkmenistan,3.0,t +38188,,,2.0,f +22005,100%,,1.0,f +28697,100%,Nauru,5.0,t +7246,100%,Niue,6.0,f +30318,,,1.0,t +28697,100%,Nauru,5.0,t +14339,99%,Jersey,5.0,f +26488,100%,Isle of Man,10.0,f +26488,100%,Isle of Man,10.0,f +6338,100%,Isle of Man,6.0,f +22149,,Venezuela,1.0,t +11416,,,1.0,t +16566,,,1.0,f +19562,,,1.0,f +10487,100%,Burkina Faso,2.0,f +13723,100%,Gambia,4.0,t +40535,57%,Uzbekistan,1.0,f +2303,,Kiribati,1.0,f +45828,90%,Togo,9.0,f +35950,,,1.0,t +33604,90%,Marshall Islands,8.0,t +29904,100%,,1.0,f +21402,,,1.0,f +39305,67%,,1.0,f +47493,33%,,1.0,f +3853,30%,Denmark,3.0,f +18843,,,1.0,t +10954,100%,Uganda,2.0,f +17827,100%,,1.0,f +32203,100%,Barbados,176.0,f +43739,100%,,2.0,f +22721,100%,Ecuador,109.0,f +26329,,Chile,1.0,f +46312,,Malawi,1.0,f +14514,,China,80.0,t +1256,75%,Uganda,1.0,f +37805,,,1.0,f +43288,,,1.0,t +45675,90%,Maldives,1.0,f +46582,90%,,1.0,f +23494,100%,Philippines,2.0,t +11599,75%,,4.0,f +8967,100%,Uganda,3.0,f +47205,100%,,4.0,f +13265,,Philippines,2.0,t +6945,100%,Cuba,8.0,f +30448,100%,,1.0,f +35051,100%,,1.0,f +37043,100%,Pakistan,11.0,f +37043,100%,Pakistan,11.0,f +5908,,,2.0,t +29647,100%,Peru,1305.0,f +24418,100%,Fiji,2.0,t +13354,100%,Isle of Man,2.0,t +33604,90%,Marshall Islands,8.0,t +42993,,,1.0,t +36178,100%,,4.0,t +20981,100%,Kenya,1.0,f +15006,,,1.0,f +10843,,,1.0,f +44547,100%,Venezuela,1.0,f +29537,,Gambia,1.0,f +21882,,,1.0,t +3633,,,1.0,t +11831,100%,,1.0,f +44361,,,1.0,f +1402,,Turkmenistan,2.0,f +863,100%,Indonesia,6.0,f +12332,,,2.0,f +9973,,,1.0,f +2229,,,1.0,f +23582,98%,Montserrat,17.0,f +37736,100%,Tonga,1.0,f +24787,0%,,1.0,f +10853,100%,Guinea,5.0,f +40822,,Estonia,2.0,t +26933,,,1.0,f +4730,,,1.0,f +29647,100%,Peru,1305.0,f +29973,,,2.0,f +29647,100%,Peru,1305.0,f +294,100%,,1.0,f +16999,100%,,1.0,f +20638,,,1.0,f +29647,100%,Peru,1305.0,f +21908,100%,Niue,49.0,f +20153,96%,Reunion,51.0,f +43598,,,2.0,f +19602,100%,Lithuania,24.0,f +29647,100%,Peru,1305.0,f +29108,,,1.0,f +38661,100%,,1.0,f +29647,100%,Peru,1305.0,f +7329,,Jersey,1.0,f +48760,98%,Ghana,24.0,f +29647,100%,Peru,1305.0,f +20770,100%,,2.0,f +40121,,,1.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +21338,90%,,1.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +40704,,Sao Tome and Principe,1.0,t +20403,,,1.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +8788,,,1.0,f +48760,98%,Ghana,24.0,f +2597,100%,Nicaragua,13.0,t +32038,100%,Indonesia,35.0,f +34019,,,1.0,t +48760,98%,Ghana,24.0,f +19079,100%,,3.0,f +21908,100%,Niue,49.0,f +33927,100%,Barbados,9.0,f +35391,100%,,2.0,t +36158,100%,Malta,4.0,f +48293,100%,,2.0,t +41713,,,1.0,f +38530,100%,,2.0,f +39266,,,1.0,f +21908,100%,Niue,49.0,f +6599,100%,Niue,2.0,f +45648,88%,Senegal,1.0,f +10202,89%,Nicaragua,10.0,f +49933,,Reunion,6.0,f +26269,100%,,4.0,f +49933,,Reunion,6.0,f +42124,,Bosnia and Herzegovina,4.0,f +13881,100%,,1.0,f +8494,,,2.0,f +21742,,Lebanon,1.0,f +10684,100%,,1.0,f +12458,,Rwanda,2.0,t +25284,,,1.0,f +356,99%,Wallis and Futuna,32.0,t +1783,100%,Tunisia,2.0,t +13395,,,1.0,t +29647,100%,Peru,1305.0,f +42328,93%,Russian Federation,14.0,f +31816,,,1.0,f +34895,100%,Estonia,16.0,t +36642,100%,Holy See (Vatican City State),4.0,t +19251,100%,,1.0,f +15743,,,1.0,f +863,100%,Indonesia,6.0,f +20205,,Barbados,1.0,f +3979,,Lebanon,2.0,f +40928,100%,Grenada,1.0,f +22169,100%,,3.0,f +863,100%,Indonesia,6.0,f +34104,,,1.0,t +24819,100%,Palestinian Territory,2.0,t +10894,100%,,1.0,f +35993,,Russian Federation,1.0,f +28802,100%,,1.0,f +14984,100%,,2.0,f +32505,100%,,2.0,f +20466,100%,Anguilla,1.0,f +49249,,,2.0,f +2777,100%,,1.0,f +34932,,Uganda,1.0,t +13205,,,1.0,f +19591,50%,,1.0,f +28071,100%,Cape Verde,4.0,t +44957,100%,Uzbekistan,8.0,t +40993,100%,Montserrat,15.0,f +40993,100%,Montserrat,15.0,f +40993,100%,Montserrat,15.0,f +9040,,,1.0,f +42265,,,1.0,t +41411,,,1.0,t +43739,100%,,2.0,f +16081,,,1.0,t +41633,,,1.0,f +2659,100%,,3.0,t +38014,,United Kingdom,1.0,f +1629,,,1.0,t +36998,92%,Lebanon,10.0,f +25548,100%,El Salvador,2.0,f +7489,,,1.0,f +36383,,,2.0,f +46808,60%,Rwanda,3.0,f +38530,100%,,2.0,f +49289,50%,Gambia,3.0,f +27124,100%,,1.0,f +863,100%,Indonesia,6.0,f +33375,,,1.0,f +32080,,Nicaragua,3.0,f +13489,,Maldives,1.0,f +27278,,Brazil,2.0,t +30283,100%,Brazil,15.0,f +27587,75%,,1.0,f +219,100%,Congo,2.0,f +21463,100%,Cocos (Keeling) Islands,1.0,f +28828,100%,Isle of Man,198.0,t +16789,100%,French Guiana,1.0,t +47016,86%,,1.0,f +3815,100%,,1.0,f +19433,50%,France,2.0,f +2669,100%,,1.0,f +35826,,,2.0,f +14692,,French Guiana,1.0,f +38034,80%,,1.0,f +11197,,Turkmenistan,3.0,t +44130,100%,,1.0,f +37165,100%,Gambia,2.0,f +35381,100%,,3.0,t +39612,100%,,1.0,f +1279,100%,,5.0,f +35818,,,1.0,t +23525,100%,,1.0,f +28163,100%,Sao Tome and Principe,5.0,t +16396,,,1.0,f +28163,100%,Sao Tome and Principe,5.0,t +30592,,,1.0,f +42171,0%,,1.0,f +20644,80%,Marshall Islands,1.0,f +38872,100%,,2.0,f +8540,,,1.0,t +48967,100%,,1.0,t +12857,100%,,2.0,f +6056,,,1.0,f +14769,100%,Kiribati,4.0,t +863,100%,Indonesia,6.0,f +10853,100%,Guinea,5.0,f +48045,,,1.0,t +38917,38%,,2.0,t +44561,100%,,1.0,f +22250,100%,,4.0,f +11286,,,1.0,f +33579,,,1.0,t +11400,67%,Niue,1.0,t +25476,100%,Fiji,11.0,f +36310,100%,,1.0,f +42394,100%,Marshall Islands,2.0,f +11744,100%,Kenya,4.0,f +12438,100%,,1.0,t +2260,100%,Gambia,1.0,f +11615,,,1.0,t +5886,94%,Fiji,25.0,t +1166,,Lithuania,9.0,t +24772,90%,Denmark,10.0,f +19560,100%,Nicaragua,2.0,t +9560,100%,Nauru,1.0,f +3581,100%,,1.0,f +43777,100%,Denmark,18.0,f +22721,100%,Ecuador,109.0,f +16053,,,1.0,f +22922,,,1.0,f +27063,100%,United Kingdom,2.0,f +40942,,,1.0,t +24776,100%,Russian Federation,1.0,f +16596,100%,Congo,3.0,f +42985,100%,,1.0,f +9455,,,1.0,f +26701,100%,,2.0,f +42929,100%,,1.0,f +32068,100%,,1.0,f +8601,,Angola,16.0,f +44879,100%,,1.0,f +38599,,,1.0,f +15189,79%,China,21.0,f +45546,100%,Cape Verde,19.0,t +25252,,Congo,1.0,t +21908,100%,Niue,49.0,f +48833,100%,,1.0,f +17569,,,2.0,f +21908,100%,Niue,49.0,f +302,100%,Tunisia,20.0,f +23949,100%,Slovakia (Slovak Republic),6.0,t +9456,100%,,1.0,f +40257,100%,Kenya,2.0,t +27267,95%,Tonga,6.0,f +30273,100%,,1.0,t +7500,100%,Paraguay,8.0,t +21453,,,1.0,f +36126,100%,Indonesia,2.0,f +33713,,,1.0,t +6242,,,1.0,t +35826,,,2.0,f +4033,38%,,2.0,f +31722,,,1.0,f +9810,100%,,2.0,t +24300,97%,Palau,5.0,t +28828,100%,Isle of Man,198.0,t +38690,,,1.0,t +32891,,,2.0,f +4507,100%,Bangladesh,3.0,t +22087,,,1.0,f +20937,100%,,1.0,f +11994,,,1.0,t +26117,100%,Isle of Man,2.0,t +8104,100%,,4.0,f +43238,100%,Guinea,1.0,t +4507,100%,Bangladesh,3.0,t +39205,100%,France,2.0,f +443,,,1.0,t +11747,,Uzbekistan,3.0,f +31034,,,1.0,t +32036,,,1.0,f +5915,,Russian Federation,4.0,f +45623,100%,Estonia,1.0,f +19178,100%,,2.0,f +32203,100%,Barbados,176.0,f +27907,100%,Puerto Rico,21.0,f +30978,,,1.0,f +18796,,,2.0,t +41294,100%,,1.0,f +32203,100%,Barbados,176.0,f +8225,95%,Barbados,31.0,f +20147,90%,,2.0,f +18796,,,2.0,t +21802,,Lebanon,2.0,f +40486,,Sao Tome and Principe,2.0,t +745,,,1.0,f +1867,,,1.0,t +8225,95%,Barbados,31.0,f +43938,100%,Somalia,1.0,f +8576,,French Guiana,2.0,f +29430,0%,Philippines,3.0,f +17219,,,1.0,f +20045,,,1.0,t +48006,80%,Bouvet Island (Bouvetoya),1.0,t +48198,100%,,1.0,f +21609,,Svalbard & Jan Mayen Islands,1.0,f +4883,,,1.0,f +28766,100%,Estonia,16.0,f +32203,100%,Barbados,176.0,f +28828,100%,Isle of Man,198.0,t +10247,,,1.0,f +14750,,,1.0,t +33841,100%,,1.0,f +29973,,,2.0,f +4944,,,1.0,f +4117,,Guinea,1.0,f +29647,100%,Peru,1305.0,f +12919,93%,Guinea,5.0,f +41518,100%,Montserrat,13.0,t +38011,,,1.0,f +29647,100%,Peru,1305.0,f +20263,99%,Maldives,35.0,t +23078,100%,Ukraine,8.0,f +10711,93%,Uganda,108.0,t +41518,100%,Montserrat,13.0,t +16701,,,1.0,f +46778,,Nicaragua,1.0,f +6057,,,1.0,t +23654,100%,Uzbekistan,23.0,f +44245,100%,,1.0,f +11121,,,1.0,t +28496,100%,Nicaragua,38.0,f +29647,100%,Peru,1305.0,f +10991,100%,Cocos (Keeling) Islands,4.0,f +43149,90%,,2.0,f +36065,,Estonia,2.0,f +20265,100%,Malawi,3.0,f +10991,100%,Cocos (Keeling) Islands,4.0,f +34160,,,1.0,t +7223,,,4.0,f +22397,100%,Lebanon,2.0,t +10188,,,1.0,f +25940,100%,Turks and Caicos Islands,2.0,f +48449,,Uzbekistan,1.0,t +21597,,,1.0,f +25490,0%,,1.0,f +18910,100%,Mauritania,5.0,f +30663,100%,,1.0,t +46099,98%,Uzbekistan,28.0,f +43298,,,1.0,f +31401,75%,,1.0,f +631,,,1.0,t +2386,90%,Mauritania,1.0,t +37987,100%,,1.0,f +22628,,,1.0,t +23571,100%,Wallis and Futuna,1.0,f +6250,,,1.0,t +38567,100%,,1.0,f +18707,100%,Jersey,3.0,f +45669,,Somalia,1.0,f +41889,96%,Uzbekistan,14.0,t +48133,,Isle of Man,45.0,f +13480,,,1.0,f +44417,100%,,1.0,f +20642,100%,,1.0,f +46452,,,1.0,t +35522,100%,Kiribati,10.0,f +35003,,,1.0,t +35485,100%,Lebanon,2.0,f +19994,100%,Saint Helena,5.0,f +36926,100%,Micronesia,2.0,f +34556,100%,Bouvet Island (Bouvetoya),1.0,f +1024,100%,Nicaragua,2.0,f +4623,,Philippines,2.0,f +27907,100%,Puerto Rico,21.0,f +3269,100%,,1.0,f +23654,100%,Uzbekistan,23.0,f +21908,100%,Niue,49.0,f +46793,,,1.0,f +29457,100%,Guinea,3.0,f +10711,93%,Uganda,108.0,t +27785,100%,Uzbekistan,58.0,f +3454,,Guinea,2.0,f +17209,,,1.0,f +27785,100%,Uzbekistan,58.0,f +6700,100%,Guinea,7.0,f +27785,100%,Uzbekistan,58.0,f +49508,,,1.0,f +39052,,,1.0,f +13802,,,1.0,f +25829,100%,,1.0,f +5810,,,1.0,f +38883,80%,,1.0,f +34327,100%,Sao Tome and Principe,1.0,f +12690,100%,Gambia,4.0,t +9227,90%,,3.0,t +2724,100%,,2.0,f +32859,100%,,1.0,f +34551,,,1.0,f +39989,100%,,1.0,f +45041,100%,Niue,2.0,f +17976,100%,,1.0,f +27785,100%,Uzbekistan,58.0,f +13621,,Gambia,1.0,f +35873,,,2.0,f +34237,100%,,1.0,t +23459,100%,,2.0,t +45655,,Guinea,1.0,t +32760,100%,,2.0,f +7223,,,4.0,f +47322,,,1.0,f +43108,100%,Vietnam,2.0,f +25819,92%,,6.0,t +5766,100%,,1.0,f +44169,97%,Portugal,39.0,f +42,98%,Micronesia,18.0,f +17064,,,1.0,f +46099,98%,Uzbekistan,28.0,f +5877,,,1.0,t +43370,,,1.0,f +14252,86%,,1.0,f +32203,100%,Barbados,176.0,f +17093,100%,,1.0,f +49587,100%,Brazil,1.0,f +36609,,,1.0,f +11614,100%,Niue,1.0,f +25532,,Nauru,1.0,f +32203,100%,Barbados,176.0,f +20062,,,1.0,f +23217,100%,,1.0,f +16906,,Costa Rica,1.0,t +32038,100%,Indonesia,35.0,f +8966,,,1.0,f +41188,,,1.0,f +19994,100%,Saint Helena,5.0,f +32203,100%,Barbados,176.0,f +42210,100%,,2.0,f +6512,100%,,1.0,f +40084,70%,,3.0,f +42210,100%,,2.0,f +41085,,,1.0,f +9721,,Svalbard & Jan Mayen Islands,2.0,f +3188,100%,,3.0,f +12326,50%,France,3.0,t +19766,40%,Monaco,3.0,f +33486,100%,Sao Tome and Principe,1.0,f +32203,100%,Barbados,176.0,f +48434,,,1.0,t +13640,,,1.0,f +29647,100%,Peru,1305.0,f +1149,,,1.0,f +32807,100%,,1.0,t +48133,,Isle of Man,45.0,f +26500,,,1.0,f +30283,100%,Brazil,15.0,f +302,100%,Tunisia,20.0,f +29647,100%,Peru,1305.0,f +30502,,,1.0,f +14480,,,1.0,f +6031,,Guernsey,3.0,t +32203,100%,Barbados,176.0,f +29647,100%,Peru,1305.0,f +29585,,,1.0,f +27425,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +36039,,Niger,2.0,t +28707,100%,Micronesia,2.0,t +3822,,Uzbekistan,5.0,f +23988,,Niue,4.0,f +19202,,,1.0,f +27785,100%,Uzbekistan,58.0,f +3204,,,1.0,f +49238,,,1.0,f +27785,100%,Uzbekistan,58.0,f +10086,100%,Kenya,2.0,f +43598,,,2.0,f +44537,100%,Tonga,7.0,f +26876,,,1.0,f +45089,100%,Jersey,1.0,f +22089,,,2.0,f +15401,100%,,1.0,t +34529,,,2.0,f +39811,,,1.0,f +17288,,,1.0,f +16275,98%,Maldives,24.0,f +11412,100%,Kiribati,2.0,f +14514,,China,80.0,t +47793,,,2.0,t +6803,,,1.0,f +35625,98%,Estonia,25.0,t +6277,100%,Estonia,6.0,f +4473,,Marshall Islands,1.0,t +3370,,,1.0,f +29647,100%,Peru,1305.0,f +8439,97%,Rwanda,17.0,t +45359,,,1.0,f +6495,89%,Tonga,34.0,f +18368,100%,Gambia,2.0,f +18039,50%,,1.0,f +7038,100%,,1.0,t +34189,100%,Malawi,1.0,f +47057,,Andorra,1.0,t +16817,,,1.0,f +6271,,,1.0,f +37733,100%,,3.0,t +30798,,Marshall Islands,1.0,f +22721,100%,Ecuador,109.0,f +22721,100%,Ecuador,109.0,f +47381,,Indonesia,3.0,f +21885,,,1.0,f +4338,80%,Micronesia,2.0,t +2271,100%,Zimbabwe,3.0,t +43741,,,1.0,f +1135,,,1.0,f +29967,94%,Reunion,5.0,f +34474,,,1.0,f +1380,,,1.0,t +1492,100%,Rwanda,1.0,f +994,,,1.0,f +4409,0%,,1.0,t +11104,100%,,3.0,t +47940,100%,,1.0,f +1325,50%,Guernsey,2.0,t +49847,,,2.0,f +26655,100%,,1.0,t +19943,63%,Isle of Man,34.0,f +39353,100%,Lithuania,2.0,t +40984,,,3.0,t +44582,100%,,1.0,f +46247,,,1.0,t +29647,100%,Peru,1305.0,f +37286,100%,,2.0,f +5788,100%,,1.0,f +10973,,Rwanda,1.0,f +3205,,,1.0,t +16418,100%,Guinea,2.0,f +46527,,,1.0,f +48068,100%,,4.0,f +26235,100%,El Salvador,3.0,f +35436,99%,Nicaragua,21.0,f +27266,,,1.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +14535,88%,Montserrat,18.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +15917,98%,,3.0,f +40376,,Venezuela,1.0,f +32336,,,1.0,f +25510,,,1.0,t +44966,100%,Guinea,21.0,f +18288,90%,,1.0,f +22574,,,1.0,f +38242,85%,Rwanda,3.0,t +6490,100%,Croatia,1.0,t +45858,100%,,1.0,t +47710,100%,,2.0,t +41546,100%,Mauritania,21.0,f +9337,80%,Estonia,2.0,f +46294,,Lebanon,1.0,f +18522,,El Salvador,1.0,f +38043,100%,Kiribati,1.0,f +9693,100%,Vanuatu,8.0,f +43426,,,1.0,t +18301,,,1.0,f +24865,,,2.0,f +48446,100%,,1.0,f +4692,100%,Isle of Man,3.0,t +4744,100%,,1.0,f +1436,,,1.0,f +12941,100%,Lebanon,1.0,f +43627,,,1.0,f +22425,100%,Andorra,1.0,f +38424,,,1.0,f +5200,,Denmark,1.0,f +3277,,,1.0,f +9016,,,1.0,t +25318,,,1.0,f +33807,,Indonesia,1.0,f +42371,,,1.0,f +46715,100%,Gibraltar,2.0,t +29571,,,2.0,f +23577,,,1.0,f +49803,,,1.0,f +48502,100%,Nicaragua,11.0,t +25775,,Lebanon,1.0,f +35134,,Ecuador,2.0,f +30690,,,1.0,t +20457,,,1.0,t +9396,,Netherlands,2.0,f +19142,90%,Niger,9.0,f +31564,100%,,1.0,f +41119,100%,Turks and Caicos Islands,1.0,t +44356,,,1.0,t +44439,100%,Marshall Islands,2.0,t +17117,,Estonia,1.0,f +45793,100%,Niue,5.0,t +9076,100%,,2.0,f +11747,,Uzbekistan,3.0,f +4572,100%,,2.0,t +45828,90%,Togo,9.0,f +48598,100%,Monaco,2.0,t +5808,,,1.0,t +30333,100%,Nicaragua,1.0,f +11432,,,1.0,f +17165,100%,,1.0,t +48133,,Isle of Man,45.0,f +7548,100%,Jersey,1.0,f +45463,100%,Mauritania,2.0,t +26268,100%,,3.0,f +48133,,Isle of Man,45.0,f +48250,,,1.0,f +48133,,Isle of Man,45.0,f +48133,,Isle of Man,45.0,f +1323,,,1.0,t +27306,100%,Kiribati,2.0,f +48133,,Isle of Man,45.0,f +19053,100%,Svalbard & Jan Mayen Islands,4.0,t +29902,,,1.0,t +26912,,,1.0,t +49438,,,1.0,t +7594,,Croatia,1.0,t +44344,100%,,2.0,f +28828,100%,Isle of Man,198.0,t +17188,100%,Niger,1.0,t +9076,100%,,2.0,f +6867,,,1.0,t +45156,,,1.0,t +3009,,,1.0,f +24265,75%,Ecuador,2.0,f +18729,100%,Montserrat,1.0,t +40471,100%,Cuba,1.0,f +19486,100%,,2.0,t +38071,80%,Zimbabwe,4.0,f +37268,,,1.0,t +239,,,1.0,t +8842,100%,Slovakia (Slovak Republic),3.0,f +21997,,Uzbekistan,1.0,t +12810,,,1.0,f +49721,100%,Micronesia,2.0,t +15567,100%,Slovakia (Slovak Republic),4.0,f +27735,,,1.0,f +1481,,,1.0,f +36352,,,2.0,f +45562,100%,,3.0,f +24114,70%,Lebanon,2.0,t +43344,60%,Maldives,5.0,f +34769,80%,Pakistan,3.0,t +32078,,Andorra,1.0,t +29916,100%,Niue,4.0,t +1095,,,1.0,f +24114,70%,Lebanon,2.0,t +28114,97%,Bouvet Island (Bouvetoya),16.0,f +45832,,,1.0,t +28114,97%,Bouvet Island (Bouvetoya),16.0,f +6884,,Micronesia,2.0,t +42245,,,1.0,f +41455,100%,,1.0,t +11942,,,1.0,f +21908,100%,Niue,49.0,f +26926,,,1.0,t +12302,100%,Malawi,1.0,f +41479,,,1.0,f +28504,,,1.0,f +11334,100%,Sao Tome and Principe,3.0,t +40248,,,1.0,f +6581,,Guinea,1.0,f +39040,100%,,1.0,f +42333,,,1.0,f +46824,,Sao Tome and Principe,3.0,f +14166,,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +8438,62%,Nicaragua,9.0,t +41849,,Lebanon,1.0,f +26024,,,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +3274,86%,Barbados,24.0,f +9141,,,1.0,t +18128,,,1.0,f +11866,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +6031,,Guernsey,3.0,t +18077,100%,Sao Tome and Principe,139.0,f +24757,100%,,3.0,f +3274,86%,Barbados,24.0,f +45293,90%,,2.0,f +3274,86%,Barbados,24.0,f +24752,,Estonia,2.0,f +37225,,,1.0,f +4574,,,1.0,f +35356,100%,Russian Federation,2.0,t +7134,100%,Tanzania,2.0,f +20116,,Monaco,1.0,f +10733,,,1.0,f +16739,,,2.0,f +1227,,,2.0,t +39587,,,1.0,f +21022,,,1.0,t +45836,,,1.0,f +3914,100%,,1.0,f +29063,,Uzbekistan,1.0,f +1227,,,2.0,t +11427,,Slovakia (Slovak Republic),4.0,t +4760,,,1.0,f +15536,100%,,1.0,f +15404,,,1.0,t +28114,97%,Bouvet Island (Bouvetoya),16.0,f +9625,0%,,1.0,f +38271,100%,,1.0,t +9250,100%,Nicaragua,1.0,t +2259,,Faroe Islands,1.0,f +15155,100%,,3.0,t +27907,100%,Puerto Rico,21.0,f +17949,100%,China,2.0,t +4614,,Rwanda,1.0,f +15522,,,1.0,t +21908,100%,Niue,49.0,f +14514,,China,80.0,t +27082,,Russian Federation,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +23078,100%,Ukraine,8.0,f +41198,100%,Lebanon,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +24033,100%,Uganda,45.0,f +4939,100%,Estonia,1.0,f +46653,78%,,1.0,t +18466,100%,,1.0,f +35183,100%,United Kingdom,1.0,t +45306,89%,Rwanda,7.0,t +18077,100%,Sao Tome and Principe,139.0,f +20348,100%,,1.0,f +20334,99%,Niger,171.0,t +18580,,,1.0,t +29647,100%,Peru,1305.0,f +34115,,,1.0,f +17118,,,1.0,f +10711,93%,Uganda,108.0,t +3274,86%,Barbados,24.0,f +21557,,,1.0,f +3635,,,1.0,f +6495,89%,Tonga,34.0,f +1090,100%,,1.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +18986,,,1.0,f +27907,100%,Puerto Rico,21.0,f +38464,25%,Nauru,1.0,t +23399,,Ghana,2.0,f +36018,100%,,7.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +27785,100%,Uzbekistan,58.0,f +42212,,,1.0,f +14299,,,1.0,f +26170,100%,,1.0,t +8544,100%,Malawi,3.0,t +19712,,,1.0,f +3274,86%,Barbados,24.0,f +7745,,Jersey,2.0,f +48265,,Papua New Guinea,1.0,f +34909,50%,Gambia,1.0,f +13388,100%,Brazil,5.0,f +32038,100%,Indonesia,35.0,f +27590,100%,Suriname,8.0,t +32203,100%,Barbados,176.0,f +3274,86%,Barbados,24.0,f +10109,83%,Togo,2.0,f +29875,,,1.0,t +19109,100%,Philippines,4.0,f +37793,,,1.0,t +19109,100%,Philippines,4.0,f +23043,100%,,1.0,t +42263,,,1.0,f +35169,100%,Micronesia,3.0,f +10189,,,1.0,f +35276,,,2.0,t +9269,,,2.0,t +24119,,,1.0,f +18251,,,1.0,t +23582,98%,Montserrat,17.0,f +39276,100%,Estonia,3.0,f +18760,100%,,1.0,f +46518,,,1.0,t +9138,,,1.0,f +11159,100%,,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +21114,100%,,1.0,t +7492,100%,Guinea,3.0,f +15057,,Malawi,1.0,f +2110,100%,Denmark,4.0,t +17394,0%,Nicaragua,49.0,f +622,,,1.0,t +19325,100%,Uzbekistan,1.0,f +20333,100%,,1.0,f +45965,100%,Estonia,8.0,f +16328,100%,,1.0,f +23381,100%,Uzbekistan,1.0,f +11241,,,1.0,f +6543,100%,United Kingdom,3.0,t +31405,,,1.0,f +20153,96%,Reunion,51.0,f +4729,,,1.0,t +17229,,,1.0,t +11044,79%,,5.0,f +36739,,,1.0,f +47736,,,1.0,f +732,100%,Maldives,2.0,f +22244,100%,Finland,6.0,t +11747,,Uzbekistan,3.0,f +11471,100%,,1.0,f +32657,100%,Nauru,1.0,t +1927,,,1.0,f +24702,,,1.0,f +29647,100%,Peru,1305.0,f +6331,50%,,1.0,f +46323,,Niger,3.0,f +45162,,Maldives,20.0,f +29647,100%,Peru,1305.0,f +20789,98%,Sao Tome and Principe,13.0,f +21842,,,1.0,f +12896,,,1.0,f +24225,,,1.0,t +29647,100%,Peru,1305.0,f +45965,100%,Estonia,8.0,f +48644,,Chad,2.0,f +34895,100%,Estonia,16.0,t +32521,100%,Montserrat,4.0,t +33770,82%,,2.0,f +171,,,1.0,f +44870,,,1.0,t +49214,,France,1.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +35650,,,1.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +40322,,,1.0,f +16047,80%,Uzbekistan,6.0,f +48644,,Chad,2.0,f +11748,,,1.0,f +30880,100%,,1.0,f +23906,,,1.0,f +21435,100%,Cape Verde,7.0,t +32624,,,1.0,t +27165,100%,,1.0,f +15212,,,1.0,t +5620,,Mauritania,3.0,t +26973,,,1.0,f +38574,83%,,1.0,f +42900,100%,,2.0,t +42431,,,1.0,t +35372,100%,,1.0,f +35913,100%,,1.0,t +43479,100%,Andorra,419.0,t +6905,,Micronesia,2.0,f +11044,79%,,5.0,f +1166,,Lithuania,9.0,t +29647,100%,Peru,1305.0,f +35905,,Micronesia,1.0,f +6167,0%,Croatia,1.0,f +32203,100%,Barbados,176.0,f +32203,100%,Barbados,176.0,f +19128,100%,Uzbekistan,12.0,t +32203,100%,Barbados,176.0,f +29647,100%,Peru,1305.0,f +27785,100%,Uzbekistan,58.0,f +29647,100%,Peru,1305.0,f +27785,100%,Uzbekistan,58.0,f +42814,,Guinea,1.0,f +6495,89%,Tonga,34.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +29647,100%,Peru,1305.0,f +40793,100%,,75.0,t +27785,100%,Uzbekistan,58.0,f +48283,0%,,1.0,f +27785,100%,Uzbekistan,58.0,f +34800,0%,,1.0,f +4745,100%,Croatia,119.0,f +27785,100%,Uzbekistan,58.0,f +32203,100%,Barbados,176.0,f +27785,100%,Uzbekistan,58.0,f +27785,100%,Uzbekistan,58.0,f +20622,100%,,1.0,t +18320,50%,Reunion,19.0,t +23973,100%,,1.0,f +21552,,Nicaragua,6.0,f +21908,100%,Niue,49.0,f +18033,,Ghana,1.0,f +34993,100%,Afghanistan,3.0,f +32750,,,1.0,f +32203,100%,Barbados,176.0,f +27785,100%,Uzbekistan,58.0,f +19019,97%,Nicaragua,1484.0,f +16764,100%,Mauritania,2.0,f +10711,93%,Uganda,108.0,t +3274,86%,Barbados,24.0,f +6395,100%,,1.0,f +29647,100%,Peru,1305.0,f +8256,,,1.0,f +3274,86%,Barbados,24.0,f +36716,100%,Bosnia and Herzegovina,3.0,f +25358,,Malawi,1.0,f +4388,100%,,1.0,f +44206,,,1.0,t +3389,100%,Estonia,13.0,f +30155,,Croatia,1.0,f +8046,100%,,1.0,f +43496,100%,Montserrat,18.0,t +45737,,Tonga,29.0,t +28567,,,1.0,f +651,100%,Lebanon,4.0,t +34841,100%,Zimbabwe,22.0,t +19453,100%,,1.0,f +13388,100%,Brazil,5.0,f +47241,,Togo,3.0,f +4225,100%,Costa Rica,2.0,f +22457,80%,Venezuela,1.0,f +34637,,Malawi,1.0,f +43339,,,1.0,t +8317,100%,Bosnia and Herzegovina,2.0,t +29647,100%,Peru,1305.0,f +28828,100%,Isle of Man,198.0,t +47094,,,1.0,f +29647,100%,Peru,1305.0,f +34953,100%,Uzbekistan,4.0,t +18227,100%,,1.0,f +3488,100%,,1.0,f +29647,100%,Peru,1305.0,f +10233,,Barbados,2.0,f +21908,100%,Niue,49.0,f +32113,100%,,2.0,f +23916,,,1.0,f +6046,,,1.0,f +25324,,,1.0,f +29480,100%,French Polynesia,6.0,f +8707,73%,Rwanda,21.0,t +36774,100%,Tonga,19.0,f +45777,,,1.0,t +4073,80%,,1.0,f +27426,0%,,1.0,f +13290,,,1.0,f +13159,67%,,2.0,f +11530,,Indonesia,2.0,t +38976,75%,,1.0,f +18735,100%,,3.0,f +37585,100%,,1.0,f +47090,100%,Croatia,3.0,f +39952,100%,Tonga,21.0,f +38851,,,1.0,t +44322,,,1.0,t +21908,100%,Niue,49.0,f +3274,86%,Barbados,24.0,f +7758,100%,,1.0,f +32203,100%,Barbados,176.0,f +41424,,,1.0,t +5436,100%,Kenya,3.0,t +11067,,,1.0,f +10711,93%,Uganda,108.0,t +23710,100%,Gambia,5.0,f +43772,50%,Mexico,12.0,t +38106,,,1.0,f +13549,,Pakistan,1.0,f +45562,100%,,3.0,f +29012,100%,Tanzania,4.0,t +20781,,,1.0,t +42838,0%,,2.0,f +39805,,,1.0,f +26877,50%,,1.0,f +33523,100%,Venezuela,2.0,f +11295,90%,,1.0,t +8105,0%,,1.0,f +33041,,Puerto Rico,1.0,f +34024,,,1.0,f +42286,94%,Vietnam,9.0,t +40849,,,1.0,f +44566,100%,,1.0,f +40103,,,1.0,t +44101,,,1.0,f +26790,100%,,1.0,f +28464,,,1.0,f +29092,,,1.0,f +24066,,Niue,2.0,t +32113,100%,,2.0,f +9826,,Palestinian Territory,2.0,f +46871,100%,Palestinian Territory,2.0,f +22981,100%,,1.0,f +29647,100%,Peru,1305.0,f +208,100%,,1.0,f +27000,100%,Kenya,2.0,f +29647,100%,Peru,1305.0,f +47623,100%,,1.0,f +19709,,Zimbabwe,1.0,t +23034,99%,Monaco,54.0,f +17841,,Montserrat,1.0,f +33484,100%,,1.0,f +376,100%,,1.0,f +46218,100%,,2.0,f +17547,,Gibraltar,3.0,t +23810,100%,Lithuania,1.0,f +20334,99%,Niger,171.0,t +6734,100%,,6.0,f +29647,100%,Peru,1305.0,f +38170,60%,,1.0,f +32769,100%,,1.0,t +20959,,,1.0,f +49471,100%,,2.0,t +19178,100%,,2.0,f +4527,,,1.0,f +35169,100%,Micronesia,3.0,f +18853,100%,,1.0,f +27114,,Reunion,1.0,f +5688,,,1.0,f +4443,,,1.0,f +14826,100%,Slovakia (Slovak Republic),1.0,f +27788,86%,,1.0,f +44128,100%,,2.0,t +46084,100%,Afghanistan,2.0,t +28330,,,1.0,f +18516,100%,Congo,3.0,t +2607,,,1.0,f +6850,100%,Faroe Islands,3.0,t +32343,50%,,2.0,f +2489,,,1.0,f +43372,,,1.0,f +37972,,,1.0,f +16763,,Russian Federation,1.0,t +4386,,Zimbabwe,4.0,t +45400,100%,,2.0,t +31003,,Niue,3.0,t +31003,,Niue,3.0,t +7612,100%,,1.0,f +27785,100%,Uzbekistan,58.0,f +16806,80%,,1.0,t +894,,,1.0,t +16293,,,1.0,f +15901,,,1.0,f +12755,,,1.0,f +40793,100%,,75.0,t +35972,100%,,3.0,f +44641,,,1.0,f +39417,100%,Marshall Islands,1.0,f +29588,100%,,3.0,f +13584,,,1.0,t +28119,,Monaco,1.0,f +13641,85%,Mauritania,23.0,f +5422,,Bosnia and Herzegovina,1.0,t +29713,,,1.0,f +36103,,Ghana,1.0,f +38391,,,1.0,f +21435,100%,Cape Verde,7.0,t +5045,70%,Zimbabwe,2.0,f +31397,,Lebanon,2.0,f +19180,,,1.0,f +3146,,,1.0,t +15274,,,1.0,t +17971,100%,,1.0,f +10341,,Fiji,1.0,f +19109,100%,Philippines,4.0,f +21269,100%,,1.0,f +496,,,1.0,t +8207,60%,Saint Helena,2.0,f +39788,,,1.0,t +46783,100%,Niue,1.0,t +10109,83%,Togo,2.0,f +30372,,,1.0,f +29565,,,1.0,f +46084,100%,Afghanistan,2.0,t +6227,,,1.0,f +8563,,,1.0,f +20187,100%,Cuba,3.0,t +4386,,Zimbabwe,4.0,t +42835,100%,,2.0,f +40620,100%,Guinea,2.0,f +47216,100%,,1.0,t +22043,100%,,1.0,f +38689,100%,United Kingdom,6.0,t +31232,,,1.0,f +13070,100%,Fiji,45.0,f +28828,100%,Isle of Man,198.0,t +18107,,,1.0,t +34841,100%,Zimbabwe,22.0,t +46290,100%,Micronesia,2.0,f +42522,,,1.0,f +36776,,,1.0,f +32298,,Tonga,1.0,f +46524,,Marshall Islands,2.0,f +16317,100%,,1.0,f +17255,100%,,1.0,f +41020,,,1.0,t +30313,67%,Australia,2.0,f +42286,94%,Vietnam,9.0,t +1195,,,1.0,f +22500,,,1.0,f +23762,,Kenya,2.0,f +20153,96%,Reunion,51.0,f +5370,60%,Kenya,5.0,f +20153,96%,Reunion,51.0,f +37211,,Ghana,2.0,f +22415,50%,,3.0,f +36540,100%,,33.0,t +41740,100%,,1.0,f +13172,,,1.0,f +41911,,Gambia,1.0,f +25876,100%,,5.0,f +44028,,Cape Verde,13.0,f +18270,100%,,1.0,f +33413,100%,,1.0,f +20369,,,1.0,t +30718,100%,,1.0,t +5245,,,1.0,f +50013,100%,Tonga,3.0,f +36375,100%,Mauritania,1.0,f +45509,,Monaco,1.0,f +37034,100%,,2.0,f +36269,,,1.0,f +33572,,,1.0,f +47,100%,Russian Federation,2.0,f +43619,,,1.0,t +14287,,,1.0,f +5737,100%,,2.0,t +34821,,,1.0,f +33361,,United Kingdom,2.0,t +7083,100%,,1.0,f +32247,,Greenland,1.0,f +27174,80%,,1.0,f +2579,,,1.0,f +1825,100%,,2.0,f +34849,,,2.0,f +37089,100%,Tanzania,3.0,t +34849,,,2.0,f +38095,100%,Malawi,2.0,f +37034,100%,,2.0,f +31843,,,1.0,f +19019,97%,Nicaragua,1484.0,f +6304,80%,,2.0,t +5626,100%,Isle of Man,1.0,t +46721,100%,,1.0,t +38394,,,1.0,f +44028,,Cape Verde,13.0,f +7062,,Chile,1.0,t +44028,,Cape Verde,13.0,f +49805,,,1.0,f +40218,100%,Estonia,6.0,f +44028,,Cape Verde,13.0,f +19019,97%,Nicaragua,1484.0,f +26231,,,1.0,t +603,100%,Niue,2.0,f +6721,100%,,2.0,f +6155,100%,Guinea,2.0,t +36722,100%,Philippines,17.0,f +23038,100%,,8.0,f +14796,,,1.0,t +2215,100%,,2.0,f +46584,78%,,1.0,t +28480,,,1.0,f +23140,80%,,1.0,f +23038,100%,,8.0,f +23038,100%,,8.0,f +23038,100%,,8.0,f +46547,100%,Croatia,1.0,t +33117,,Malawi,1.0,t +23038,100%,,8.0,f +4033,38%,,2.0,f +23038,100%,,8.0,f +23038,100%,,8.0,f +35677,,,1.0,f +27308,,,1.0,f +6582,90%,,3.0,f +32369,,Sao Tome and Principe,1.0,f +30076,100%,Guinea,2.0,f +23582,98%,Montserrat,17.0,f +16841,100%,United Kingdom,1.0,f +34421,44%,,1.0,t +47703,100%,Montserrat,2.0,t +5685,,Nicaragua,4.0,f +651,100%,Lebanon,4.0,t +19943,63%,Isle of Man,34.0,f +5685,,Nicaragua,4.0,f +26364,,Holy See (Vatican City State),1.0,f +48952,,,1.0,t +27792,100%,,2.0,f +32203,100%,Barbados,176.0,f +26435,,,1.0,t +29754,,Indonesia,2.0,f +21965,100%,,1.0,f +10375,,,1.0,f +32203,100%,Barbados,176.0,f +33408,100%,Tonga,6.0,f +23430,100%,Reunion,16.0,f +3274,86%,Barbados,24.0,f +18281,100%,Isle of Man,2.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +32203,100%,Barbados,176.0,f +48133,,Isle of Man,45.0,f +15004,100%,Uzbekistan,88.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +11629,100%,,3.0,f +28922,100%,,1.0,f +24996,100%,,1.0,f +33408,100%,Tonga,6.0,f +11567,100%,Niger,31.0,t +2359,100%,,1.0,f +20334,99%,Niger,171.0,t +12332,,,2.0,f +38187,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +25069,,,1.0,t +6208,73%,,1.0,f +42725,100%,Spain,3.0,t +5832,100%,,17.0,t +271,100%,,1.0,f +21908,100%,Niue,49.0,f +8517,,,2.0,f +47241,,Togo,3.0,f +21908,100%,Niue,49.0,f +35643,,,1.0,f +3274,86%,Barbados,24.0,f +37960,,,1.0,t +8517,,,2.0,f +32038,100%,Indonesia,35.0,f +30376,,,1.0,t +11570,100%,,1.0,f +3274,86%,Barbados,24.0,f +11392,,Kiribati,2.0,f +26038,,,1.0,f +39036,100%,,1.0,f +22277,,,1.0,f +19217,98%,Marshall Islands,46.0,f +40736,,,1.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +20334,99%,Niger,171.0,t +47033,100%,Estonia,1.0,f +33958,100%,,1.0,f +49067,,,1.0,f +20456,100%,,1.0,f +15978,100%,,2.0,f +5685,,Nicaragua,4.0,f +40740,,Isle of Man,1.0,f +44176,,,1.0,f +30076,100%,Guinea,2.0,f +40793,100%,,75.0,t +8043,,Zimbabwe,2.0,f +11514,,,1.0,f +32203,100%,Barbados,176.0,f +44868,,,1.0,t +26404,100%,Kiribati,2.0,f +27738,,Chad,1.0,t +32203,100%,Barbados,176.0,f +32703,100%,,2.0,f +43931,,,1.0,f +38701,40%,Niger,27.0,f +14477,100%,Reunion,26.0,t +15811,100%,,1.0,f +3295,,,1.0,t +12938,92%,Reunion,12.0,f +35779,100%,,1.0,f +48133,,Isle of Man,45.0,f +46727,89%,Philippines,1.0,f +18374,100%,,3.0,f +21908,100%,Niue,49.0,f +44256,,Nicaragua,1.0,t +38701,40%,Niger,27.0,f +29647,100%,Peru,1305.0,f +49382,,El Salvador,1.0,f +17912,100%,Ghana,1.0,f +24743,,Kenya,2.0,f +13115,,,1.0,f +15004,100%,Uzbekistan,88.0,f +8435,,,1.0,f +39552,83%,Bahrain,4.0,t +39598,100%,,1.0,f +41857,,,1.0,f +10993,,Mauritania,8.0,f +16321,100%,Tunisia,1.0,f +21297,,,1.0,f +23430,100%,Reunion,16.0,f +35132,100%,,2.0,t +49572,,Lebanon,2.0,f +21121,75%,Malta,2.0,f +17099,,Ghana,1.0,f +15112,,Malawi,2.0,f +6894,80%,Estonia,47.0,t +11116,,,1.0,t +49712,,Sao Tome and Principe,1.0,f +36600,,,1.0,f +32038,100%,Indonesia,35.0,f +26597,100%,,2.0,f +746,,Kiribati,4.0,f +30478,80%,,2.0,f +7950,,,1.0,f +18399,100%,Kiribati,8.0,t +38865,100%,,2.0,t +46313,,,1.0,t +28648,97%,Estonia,5.0,f +31314,100%,Guinea,4.0,t +25657,,,1.0,t +33537,,,1.0,f +20731,100%,,2.0,f +31158,99%,Suriname,11.0,f +46524,,Marshall Islands,2.0,f +44091,100%,Chile,2.0,f +21426,100%,,2.0,f +36024,,,1.0,t +1464,,,1.0,f +48328,90%,,1.0,t +44892,100%,Lebanon,3.0,f +23035,100%,,2.0,f +19713,,,1.0,t +48985,97%,Guinea,8.0,f +12715,100%,Estonia,29.0,f +21403,95%,Vietnam,8.0,f +32038,100%,Indonesia,35.0,f +44892,100%,Lebanon,3.0,f +36774,100%,Tonga,19.0,f +36683,,Switzerland,1.0,f +30964,,,1.0,f +17133,100%,Kiribati,1.0,t +41916,67%,,1.0,f +24098,,,1.0,f +11375,,Saint Helena,2.0,t +42218,,,1.0,f +44717,100%,Monaco,2.0,t +40822,,Estonia,2.0,t +41928,87%,Nicaragua,9.0,f +40793,100%,,75.0,t +44028,,Cape Verde,13.0,f +13684,100%,Isle of Man,1.0,f +12919,93%,Guinea,5.0,f +27104,,,1.0,f +4525,98%,El Salvador,9.0,t +12919,93%,Guinea,5.0,f +11323,,,1.0,f +48212,,,1.0,f +23117,82%,,33.0,f +36157,100%,Tonga,6.0,t +12919,93%,Guinea,5.0,f +29109,,Anguilla,1.0,f +20901,100%,El Salvador,1.0,f +26395,100%,,2.0,f +29684,100%,,1.0,f +25876,100%,,5.0,f +23117,82%,,33.0,f +3155,,,3.0,t +7834,94%,Mexico,13.0,f +29647,100%,Peru,1305.0,f +17249,,,1.0,f +18193,0%,,2.0,f +11170,100%,Zimbabwe,1.0,f +4986,100%,Afghanistan,15.0,f +13738,,,1.0,f +40689,100%,Cuba,23.0,f +1977,,,1.0,t +43821,,Vietnam,3.0,t +4986,100%,Afghanistan,15.0,f +31808,,Lebanon,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +29123,100%,Zimbabwe,16.0,t +44109,100%,United Kingdom,20.0,f +4986,100%,Afghanistan,15.0,f +28828,100%,Isle of Man,198.0,t +30013,,,1.0,t +27145,100%,Rwanda,2.0,t +25876,100%,,5.0,f +25876,100%,,5.0,f +34841,100%,Zimbabwe,22.0,t +6022,100%,,4.0,t +9760,,,1.0,f +6599,100%,Niue,2.0,f +36611,71%,Maldives,14.0,f +25876,100%,,5.0,f +27319,100%,,1.0,f +13638,,,1.0,t +6022,100%,,4.0,t +38428,100%,Niue,3.0,f +43710,100%,,1.0,f +46985,,,1.0,f +23257,,Chad,3.0,f +7320,100%,,1.0,t +24802,67%,,3.0,f +26989,,Sao Tome and Principe,1.0,f +28694,,Somalia,1.0,t +29647,100%,Peru,1305.0,f +21833,,,2.0,f +29647,100%,Peru,1305.0,f +7728,,Russian Federation,1.0,f +14477,100%,Reunion,26.0,t +29647,100%,Peru,1305.0,f +6107,90%,Kiribati,4.0,f +29480,100%,French Polynesia,6.0,f +26805,,,1.0,f +1311,100%,,1.0,t +18071,,,1.0,t +20202,,,2.0,f +21257,100%,,1.0,f +4217,,Kenya,52.0,f +20663,100%,,1.0,t +45119,,Rwanda,2.0,f +12919,93%,Guinea,5.0,f +13119,100%,,1.0,f +10993,,Mauritania,8.0,f +10993,,Mauritania,8.0,f +7375,,,1.0,f +4330,94%,Ukraine,60.0,t +12965,100%,Vietnam,11.0,t +21554,83%,Philippines,3.0,t +5000,,,1.0,f +24033,100%,Uganda,45.0,f +27737,,,1.0,f +24574,,,1.0,f +18459,100%,Zimbabwe,100.0,f +41269,,Philippines,7.0,f +47424,,,1.0,t +48133,,Isle of Man,45.0,f +46385,70%,,1.0,f +6715,,,1.0,f +40063,100%,,1.0,t +36170,,Malta,6.0,f +25439,,,1.0,t +22609,0%,,2.0,f +36170,,Malta,6.0,f +4309,100%,,1.0,f +44292,,,1.0,t +33141,,,1.0,t +1775,100%,Denmark,2.0,f +33823,78%,France,17.0,t +35851,,Russian Federation,2.0,t +44218,100%,Kiribati,3.0,f +47198,0%,,1.0,t +49537,100%,,1.0,f +11692,,,1.0,f +5464,100%,,1.0,f +30924,,Sao Tome and Principe,7.0,t +37646,100%,Estonia,60.0,f +4475,,,1.0,f +19543,,Bosnia and Herzegovina,5.0,f +6678,,China,1.0,f +39969,,,1.0,f +33371,90%,,1.0,f +28813,,Venezuela,1.0,t +11962,,,1.0,f +9239,100%,Cuba,17.0,f +13877,,Fiji,1.0,t +48481,,,1.0,t +25719,,China,4.0,t +6582,90%,,3.0,f +27454,,,2.0,t +47710,100%,,2.0,t +38120,100%,Russian Federation,4.0,t +49502,,,1.0,f +27785,100%,Uzbekistan,58.0,f +14504,,,2.0,f +27785,100%,Uzbekistan,58.0,f +41518,100%,Montserrat,13.0,t +41518,100%,Montserrat,13.0,t +3936,100%,,1.0,f +7278,100%,Kiribati,2.0,f +23151,100%,Andorra,3.0,f +31903,100%,Sao Tome and Principe,2.0,t +41518,100%,Montserrat,13.0,t +48251,97%,Zimbabwe,6.0,f +8439,97%,Rwanda,17.0,t +15252,100%,,4.0,f +2744,,Gibraltar,5.0,f +16275,98%,Maldives,24.0,f +16275,98%,Maldives,24.0,f +27785,100%,Uzbekistan,58.0,f +14690,100%,,1.0,t +48435,100%,,1.0,t +31194,,,1.0,f +30558,,,1.0,f +39034,,,1.0,f +26983,,,1.0,f +4680,56%,,1.0,t +30361,100%,,1.0,f +9438,,,3.0,t +7833,100%,Isle of Man,2.0,f +29992,,,1.0,f +7377,,,1.0,t +29621,100%,,1.0,f +29643,,,1.0,t +22442,100%,Maldives,1.0,t +34117,,,1.0,f +11568,100%,,1.0,f +4431,,,1.0,t +16932,,,1.0,f +7877,,,1.0,f +19765,100%,Zimbabwe,1.0,f +46729,100%,,1.0,f +24494,,Maldives,1.0,f +33850,,,1.0,t +11146,,,1.0,f +33782,100%,,1.0,t +31634,,Estonia,1.0,f +43827,100%,Marshall Islands,2.0,f +32527,100%,Tonga,7.0,f +7101,,Isle of Man,1.0,f +32890,,,1.0,t +41139,,,1.0,f +40890,100%,,1.0,f +21594,100%,Kiribati,1.0,f +25239,100%,Cape Verde,1.0,f +19771,,,1.0,f +9716,100%,,1.0,t +11853,100%,,2.0,t +27544,,,1.0,f +45809,,,1.0,t +38955,,,1.0,t +11479,100%,,1.0,t +5118,,Lebanon,1.0,f +39112,100%,,1.0,t +9174,0%,,1.0,f +4816,90%,Somalia,3.0,f +19229,,,1.0,t +23490,,Lebanon,2.0,f +41449,100%,Jersey,1.0,t +8795,,,1.0,f +19533,,,1.0,f +32561,100%,Lebanon,3.0,f +1066,100%,,1.0,f +28133,,,1.0,f +21611,,,1.0,f +17317,50%,Micronesia,2.0,t +20409,90%,,2.0,f +25610,,,1.0,f +42268,,Russian Federation,1.0,t +49633,,Gambia,1.0,t +14727,,,1.0,f +40714,,,1.0,t +44109,100%,United Kingdom,20.0,f +44109,100%,United Kingdom,20.0,f +44109,100%,United Kingdom,20.0,f +10778,,,1.0,f +5639,100%,,1.0,f +18078,100%,Montserrat,13.0,t +32886,90%,Russian Federation,6.0,f +15710,,,1.0,t +33292,,,1.0,t +6756,,,1.0,f +9398,100%,,1.0,f +20352,,,1.0,t +2055,,,1.0,f +26892,100%,Togo,12.0,t +27785,100%,Uzbekistan,58.0,f +8364,,Chad,1.0,f +27785,100%,Uzbekistan,58.0,f +47010,,,1.0,t +13070,100%,Fiji,45.0,f +43496,100%,Montserrat,18.0,t +42568,,Uzbekistan,1.0,f +38395,,,1.0,t +49180,100%,,1.0,f +27616,,,1.0,t +10281,100%,,1.0,f +32091,100%,Russian Federation,1.0,t +7148,,,1.0,f +40304,100%,France,3.0,f +4745,100%,Croatia,119.0,f +25777,,Bouvet Island (Bouvetoya),3.0,t +17974,,,3.0,f +17974,,,3.0,f +38701,40%,Niger,27.0,f +5277,100%,Vietnam,10.0,f +23687,,,1.0,f +3056,,,1.0,f +4745,100%,Croatia,119.0,f +38701,40%,Niger,27.0,f +18077,100%,Sao Tome and Principe,139.0,f +14223,,Gibraltar,1.0,t +17199,,,1.0,f +2194,,,1.0,t +32173,,Zimbabwe,1.0,f +3584,100%,Sao Tome and Principe,1.0,f +48117,98%,Ukraine,41.0,f +18232,100%,Guinea,1.0,f +4932,,,1.0,f +3830,,,1.0,f +31065,,,16.0,f +44367,91%,Brazil,12.0,f +25902,,,1.0,f +37483,100%,Gibraltar,3.0,f +3044,100%,Russian Federation,1.0,t +12595,,,1.0,f +17001,100%,,2.0,t +21351,100%,Niue,3.0,f +21460,,,1.0,t +2911,,,1.0,f +27975,0%,,1.0,t +36172,100%,Niue,2.0,t +31668,100%,,1.0,f +39225,100%,,1.0,f +34916,100%,,2.0,f +48929,100%,Niue,4.0,f +11108,,,1.0,f +18445,70%,,2.0,t +7889,,,1.0,f +21108,,,1.0,f +32047,,,1.0,t +49828,100%,,1.0,t +13606,100%,,4.0,f +12674,,,1.0,t +28795,100%,,1.0,t +25511,,,1.0,f +168,,Portugal,1.0,f +38352,100%,,1.0,f +48133,,Isle of Man,45.0,f +40781,100%,Guinea,5.0,f +32203,100%,Barbados,176.0,f +25326,,Zimbabwe,1.0,f +3019,100%,Barbados,18.0,f +39143,89%,,33.0,f +47648,100%,Lebanon,3.0,t +36027,100%,,2.0,f +49739,100%,,1.0,f +6814,100%,Sao Tome and Principe,1.0,f +28371,,Bouvet Island (Bouvetoya),1.0,f +23881,,,1.0,f +36027,100%,,2.0,f +3990,,,1.0,f +33355,,,1.0,f +40421,96%,Jersey,29.0,t +43742,,Turks and Caicos Islands,1.0,f +11259,0%,,1.0,t +30220,,,1.0,t +24430,,,1.0,t +25701,50%,,1.0,f +39954,,Tonga,6.0,f +12574,,Philippines,2.0,f +29647,100%,Peru,1305.0,f +13070,100%,Fiji,45.0,f +14376,100%,Niue,1.0,f +20263,99%,Maldives,35.0,t +5937,,,1.0,f +12574,,Philippines,2.0,f +9239,100%,Cuba,17.0,f +37813,,,1.0,f +4217,,Kenya,52.0,f +13070,100%,Fiji,45.0,f +20263,99%,Maldives,35.0,t +37009,80%,Lebanon,3.0,t +19012,,,2.0,f +7746,100%,Canada,2.0,t +39153,100%,,3.0,f +11399,,,1.0,f +9239,100%,Cuba,17.0,f +20263,99%,Maldives,35.0,t +6317,,Bosnia and Herzegovina,1.0,t +26200,,,1.0,f +15806,,,1.0,f +11168,100%,,1.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +29647,100%,Peru,1305.0,f +4745,100%,Croatia,119.0,f +10042,,Indonesia,21.0,f +29647,100%,Peru,1305.0,f +23854,,Uzbekistan,15.0,f +26724,,,1.0,t +40793,100%,,75.0,t +6920,100%,,1.0,f +36977,78%,,2.0,f +7065,,,1.0,f +15390,100%,,1.0,f +26251,100%,,1.0,f +6139,,,1.0,f +30405,,,1.0,f +2958,,,1.0,f +46088,,Ghana,15.0,f +23250,,,1.0,f +39899,75%,,1.0,t +16604,,,1.0,t +7780,,,1.0,f +11482,,,1.0,f +5754,,,1.0,f +41893,100%,,2.0,f +17394,0%,Nicaragua,49.0,f +13572,100%,,1.0,f +25737,,,2.0,f +44028,,Cape Verde,13.0,f +4066,,,1.0,f +5420,100%,Tonga,41.0,f +116,100%,,1.0,f +22963,,,1.0,f +3150,,,2.0,f +29647,100%,Peru,1305.0,f +20263,99%,Maldives,35.0,t +9802,,Indonesia,38.0,t +33673,,,1.0,f +5270,100%,,1.0,f +41304,100%,,3.0,f +7627,,Zimbabwe,1.0,f +49871,,,1.0,f +9976,100%,Russian Federation,2.0,f +38183,0%,Isle of Man,1.0,f +28828,100%,Isle of Man,198.0,t +20410,100%,,1.0,t +9802,,Indonesia,38.0,t +16712,100%,,1.0,f +24636,100%,,1.0,f +31707,100%,Niger,48.0,f +17,,,1.0,f +5387,,,1.0,f +43051,,,1.0,f +222,89%,,16.0,f +11963,100%,Croatia,2.0,f +30216,98%,Maldives,34.0,f +35737,100%,,1.0,f +18247,95%,Iran,80.0,t +12164,100%,Nicaragua,8.0,f +41640,100%,Guinea,2.0,f +3150,,,2.0,f +38701,40%,Niger,27.0,f +45049,40%,,2.0,f +3386,100%,Isle of Man,2.0,f +46177,,,1.0,f +3098,100%,Mauritania,2.0,t +18459,100%,Zimbabwe,100.0,f +18247,95%,Iran,80.0,t +35298,90%,Indonesia,8.0,t +33872,100%,,1.0,t +16139,,,2.0,f +45817,,,1.0,f +6266,100%,,4.0,f +10042,,Indonesia,21.0,f +6266,100%,,4.0,f +43501,0%,,1.0,f +13612,50%,,1.0,f +44430,,,1.0,f +4322,97%,Tonga,32.0,f +25798,,,1.0,f +24018,,,1.0,t +3688,,,1.0,t +4224,100%,,1.0,f +11879,,,1.0,f +17974,,,3.0,f +16306,,Holy See (Vatican City State),1.0,f +2047,,Isle of Man,2.0,f +4816,90%,Somalia,3.0,f +25819,92%,,6.0,t +45501,100%,Kiribati,7.0,f +49453,0%,,1.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +13688,100%,,1.0,f +28648,97%,Estonia,5.0,f +27148,,,1.0,f +31478,,,1.0,f +6005,100%,,1.0,t +6547,100%,,1.0,f +46435,,,1.0,f +9097,100%,,1.0,f +8391,,,1.0,f +21908,100%,Niue,49.0,f +38506,100%,,1.0,f +45785,,,1.0,f +19958,100%,Congo,40.0,t +18459,100%,Zimbabwe,100.0,f +34557,92%,Russian Federation,1.0,t +47622,100%,Fiji,4.0,f +49927,,,1.0,f +38428,100%,Niue,3.0,f +38428,100%,Niue,3.0,f +30216,98%,Maldives,34.0,f +47622,100%,Fiji,4.0,f +13070,100%,Fiji,45.0,f +41092,100%,,1.0,f +1326,100%,,1.0,f +18247,95%,Iran,80.0,t +47622,100%,Fiji,4.0,f +17521,100%,,1.0,f +4677,100%,Maldives,2.0,f +222,89%,,16.0,f +12357,100%,Gambia,4.0,f +11712,95%,Monaco,4.0,f +23814,,Russian Federation,26.0,f +20280,,,3.0,t +23814,,Russian Federation,26.0,f +23814,,Russian Federation,26.0,f +29647,100%,Peru,1305.0,f +25737,,,2.0,f +46951,,,1.0,t +7223,,,4.0,f +23814,,Russian Federation,26.0,f +23814,,Russian Federation,26.0,f +23814,,Russian Federation,26.0,f +6866,100%,Ghana,2.0,f +23814,,Russian Federation,26.0,f +47648,100%,Lebanon,3.0,t +23814,,Russian Federation,26.0,f +23814,,Russian Federation,26.0,f +49920,,,1.0,t +36225,,Marshall Islands,3.0,f +29647,100%,Peru,1305.0,f +44138,100%,,2.0,f +19952,100%,Zimbabwe,2.0,f +3201,50%,,1.0,f +43496,100%,Montserrat,18.0,t +20200,,Zimbabwe,2.0,f +19019,97%,Nicaragua,1484.0,f +23796,,,1.0,t +41234,,Kenya,1.0,f +16228,,,1.0,f +23295,100%,Bouvet Island (Bouvetoya),2.0,t +19019,97%,Nicaragua,1484.0,f +20074,,,1.0,f +20334,99%,Niger,171.0,t +17298,97%,Barbados,7.0,f +3136,,,1.0,f +34938,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +31065,,,16.0,f +27442,90%,Solomon Islands,1.0,f +25797,100%,Jersey,1.0,f +30115,,,1.0,f +20196,100%,,2.0,f +37860,100%,,1.0,f +7592,98%,,13.0,t +32203,100%,Barbados,176.0,f +17569,,,2.0,f +24266,100%,,1.0,f +44893,100%,Chad,1.0,t +32203,100%,Barbados,176.0,f +29647,100%,Peru,1305.0,f +26748,100%,,1.0,t +24117,100%,Uzbekistan,1.0,f +18459,100%,Zimbabwe,100.0,f +32353,,Chile,1.0,t +45762,,Isle of Man,1.0,f +42595,,,1.0,t +29647,100%,Peru,1305.0,f +18459,100%,Zimbabwe,100.0,f +49295,,,1.0,f +26489,100%,,1.0,t +32203,100%,Barbados,176.0,f +43324,,Turkmenistan,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +4217,,Kenya,52.0,f +29647,100%,Peru,1305.0,f +49811,100%,,2.0,f +32203,100%,Barbados,176.0,f +3432,100%,Nicaragua,1.0,f +4319,100%,Uganda,6.0,f +40629,,,1.0,f +17670,,,1.0,t +28192,,,1.0,t +41745,,Togo,1.0,f +49267,100%,,1.0,f +5771,98%,Vietnam,8.0,f +5771,98%,Vietnam,8.0,f +13945,,,2.0,t +5771,98%,Vietnam,8.0,f +48752,50%,,1.0,f +2332,,Estonia,2.0,t +14583,,Costa Rica,1.0,f +9895,100%,,1.0,t +49368,100%,,2.0,t +6323,100%,,2.0,f +26076,,,1.0,f +8445,,,1.0,f +48003,,,1.0,f +1651,100%,Kiribati,1.0,f +31733,100%,,2.0,f +8482,89%,,1.0,f +23064,,,1.0,f +29647,100%,Peru,1305.0,f +17090,,Gambia,2.0,f +9122,100%,Lebanon,1.0,f +11605,100%,Zimbabwe,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +16663,100%,,1.0,f +5599,89%,,1.0,f +25242,,Lebanon,1.0,f +28702,100%,Russian Federation,2.0,t +15101,56%,,1.0,f +29647,100%,Peru,1305.0,f +21326,100%,Zimbabwe,2.0,f +29647,100%,Peru,1305.0,f +33463,,,1.0,f +18461,,,1.0,t +8225,95%,Barbados,31.0,f +39954,,Tonga,6.0,f +14505,,Sao Tome and Principe,2.0,t +49562,,,1.0,f +18247,95%,Iran,80.0,t +36961,29%,,1.0,f +34908,80%,Croatia,1.0,t +32820,,,1.0,t +1875,,Congo,1.0,f +17738,,,1.0,f +17169,100%,Tonga,1.0,t +41788,100%,Turks and Caicos Islands,6.0,f +18686,100%,Mauritania,2.0,t +30459,,,1.0,f +26496,,,1.0,f +33198,100%,Mauritania,12.0,f +24674,,Vietnam,4.0,t +4395,100%,Uganda,1.0,f +41508,80%,Turkmenistan,1.0,t +28906,,,1.0,f +18247,95%,Iran,80.0,t +20264,,,1.0,f +48521,,,1.0,f +36225,,Marshall Islands,3.0,f +33722,,,1.0,t +12453,0%,Uzbekistan,3.0,t +6726,100%,Tonga,2.0,t +14927,,,1.0,t +7750,0%,Australia,1.0,f +46109,83%,,1.0,f +11851,,Russian Federation,1.0,f +6353,,Chile,1.0,t +2429,100%,Tonga,6.0,f +35113,,Sao Tome and Principe,1.0,f +5838,67%,,1.0,f +44004,,,1.0,f +39764,,Venezuela,2.0,t +20295,,,1.0,f +1347,,,1.0,f +12448,,,1.0,f +21410,,,1.0,t +43104,,,1.0,f +15799,,,4.0,t +4689,,,1.0,f +16377,,Gambia,5.0,f +13942,,,1.0,t +25248,,,1.0,f +24834,100%,Maldives,1.0,t +40807,,,1.0,f +21756,,,1.0,t +11629,100%,,3.0,f +49128,,,1.0,f +45937,,,1.0,t +47775,100%,French Guiana,6.0,f +49979,,Indonesia,1.0,t +14154,,Russian Federation,1.0,f +43285,,,1.0,f +34583,,Cuba,2.0,t +13690,,,1.0,t +11767,,Gambia,1.0,f +45501,100%,Kiribati,7.0,f +45501,100%,Kiribati,7.0,f +39705,,,1.0,f +42124,,Bosnia and Herzegovina,4.0,f +42124,,Bosnia and Herzegovina,4.0,f +29151,0%,Indonesia,1.0,f +47937,,,1.0,f +8236,100%,Mexico,2.0,f +31820,,,1.0,f +40366,97%,Micronesia,14.0,t +34747,,Lebanon,3.0,t +25623,100%,,1.0,f +46482,,,1.0,f +44432,,Sao Tome and Principe,1.0,f +2125,,,1.0,t +24183,100%,,1.0,f +13604,,,1.0,f +31065,,,16.0,f +32027,,Turkmenistan,2.0,t +32512,100%,Saint Helena,9.0,f +6671,,,1.0,t +29646,100%,Monaco,2.0,t +46171,20%,,1.0,f +31176,60%,,1.0,t +17701,100%,,4.0,t +18557,67%,Monaco,2.0,f +45927,,,1.0,f +46997,,,1.0,f +12798,100%,,1.0,t +4217,,Kenya,52.0,f +19811,90%,Nicaragua,21.0,t +45111,100%,Sao Tome and Principe,420.0,f +48257,100%,Kiribati,5.0,t +3786,100%,,1.0,f +33109,,,4.0,f +33334,100%,Togo,64.0,t +25445,70%,,2.0,f +1293,100%,,1.0,f +33334,100%,Togo,64.0,t +22993,,,1.0,f +40366,97%,Micronesia,14.0,t +14477,100%,Reunion,26.0,t +40366,97%,Micronesia,14.0,t +40366,97%,Micronesia,14.0,t +11228,,,1.0,f +4217,,Kenya,52.0,f +29430,0%,Philippines,3.0,f +31065,,,16.0,f +9024,100%,,1.0,t +448,100%,,1.0,f +20334,99%,Niger,171.0,t +40510,,,1.0,f +18444,,Congo,1.0,t +40294,100%,Barbados,6.0,f +29248,100%,Croatia,1.0,t +20360,,,1.0,f +19225,50%,Kiribati,1.0,f +548,100%,,3.0,f +36225,,Marshall Islands,3.0,f +32745,,Peru,1.0,f +47098,,Micronesia,1.0,f +32453,100%,,3.0,t +10781,0%,,1.0,f +16032,100%,Uzbekistan,2.0,f +19769,,,1.0,f +19019,97%,Nicaragua,1484.0,f +49992,,,1.0,f +19019,97%,Nicaragua,1484.0,f +38442,,,1.0,f +21730,,Philippines,5.0,t +4320,,Jersey,1.0,f +10987,,Russian Federation,2.0,t +26485,100%,Afghanistan,1.0,f +20516,100%,Jersey,6.0,t +40190,,,1.0,f +19611,,,1.0,f +41616,100%,Anguilla,3.0,f +27893,,Maldives,1.0,t +38726,100%,Guinea,2.0,t +27125,100%,Saint Helena,1.0,f +48078,,,1.0,f +21833,,,2.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +29647,100%,Peru,1305.0,f +19514,100%,Djibouti,2.0,f +41605,100%,,1.0,f +29647,100%,Peru,1305.0,f +4217,,Kenya,52.0,f +43130,100%,Puerto Rico,5.0,f +29647,100%,Peru,1305.0,f +28472,,,1.0,f +13345,,Rwanda,1.0,f +31304,100%,Uzbekistan,3.0,f +48181,,,1.0,f +47223,,Cocos (Keeling) Islands,1.0,f +21537,,,2.0,f +18459,100%,Zimbabwe,100.0,f +17862,100%,Rwanda,2.0,f +17862,100%,Rwanda,2.0,f +14465,100%,Costa Rica,2.0,t +29647,100%,Peru,1305.0,f +4637,,,1.0,f +19711,100%,Estonia,1.0,f +36013,100%,,1.0,t +4217,,Kenya,52.0,f +25271,,,2.0,t +29647,100%,Peru,1305.0,f +25605,,Micronesia,2.0,f +48414,100%,Guinea,3.0,t +43718,,,1.0,t +35773,100%,,1.0,t +40793,100%,,75.0,t +24932,80%,Kiribati,2.0,t +26896,100%,Tonga,3.0,f +39400,,Croatia,1.0,f +3960,,,1.0,f +7747,,,1.0,t +10844,,,1.0,f +27994,33%,Saint Helena,1.0,f +14066,80%,,3.0,f +43922,100%,,1.0,f +49149,,,1.0,f +31304,100%,Uzbekistan,3.0,f +19439,,Uganda,2.0,t +43709,,,1.0,f +20409,90%,,2.0,f +9010,100%,,1.0,f +8166,100%,Rwanda,16.0,f +14756,100%,,1.0,f +33538,100%,Isle of Man,1.0,f +39228,100%,Rwanda,2.0,f +36,100%,Sao Tome and Principe,3.0,f +37646,100%,Estonia,60.0,f +45362,,,1.0,t +38027,,,1.0,f +3046,100%,,1.0,f +8166,100%,Rwanda,16.0,f +8213,,,1.0,f +37109,100%,,1.0,f +37381,,,1.0,f +21908,100%,Niue,49.0,f +21908,100%,Niue,49.0,f +21908,100%,Niue,49.0,f +38158,90%,Niger,2.0,f +21908,100%,Niue,49.0,f +8166,100%,Rwanda,16.0,f +11374,,,1.0,f +31823,,,1.0,t +26569,,,1.0,t +12971,71%,Malawi,1.0,t +40571,,,1.0,f +35105,100%,Gambia,4.0,f +4275,,,1.0,t +41858,,,1.0,f +10824,100%,,1.0,f +34333,,,1.0,t +45501,100%,Kiribati,7.0,f +4217,,Kenya,52.0,f +3578,,Uzbekistan,1.0,t +29936,,Niue,3.0,t +39777,100%,,1.0,f +32885,100%,Micronesia,1.0,f +34841,100%,Zimbabwe,22.0,t +34200,,,1.0,f +17212,,Marshall Islands,1.0,f +37646,100%,Estonia,60.0,f +10149,100%,Isle of Man,1.0,f +21518,100%,Micronesia,1.0,t +33938,100%,United Kingdom,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +2891,100%,,1.0,f +8166,100%,Rwanda,16.0,f +31065,,,16.0,f +22804,100%,Niue,1.0,f +519,100%,,1.0,f +8166,100%,Rwanda,16.0,f +10610,100%,United Kingdom,6.0,t +18557,67%,Monaco,2.0,f +8166,100%,Rwanda,16.0,f +39272,100%,Jersey,2.0,f +31895,100%,,1.0,f +39008,,,1.0,f +8166,100%,Rwanda,16.0,f +4217,,Kenya,52.0,f +37894,75%,,1.0,f +28630,,,2.0,t +10042,,Indonesia,21.0,f +48257,100%,Kiribati,5.0,t +8166,100%,Rwanda,16.0,f +17464,,Philippines,8.0,t +4745,100%,Croatia,119.0,f +7592,98%,,13.0,t +44934,100%,Philippines,17.0,f +8091,97%,Cuba,10.0,f +21908,100%,Niue,49.0,f +6613,100%,,1.0,f +40780,,China,1.0,t +48133,,Isle of Man,45.0,f +5003,100%,Jersey,8.0,f +48560,100%,Barbados,3.0,f +37136,,,1.0,f +41810,100%,,1.0,f +48973,100%,Tonga,6.0,f +10042,,Indonesia,21.0,f +8166,100%,Rwanda,16.0,f +20334,99%,Niger,171.0,t +2433,100%,Tonga,21.0,f +29160,100%,,1.0,t +21281,,,1.0,f +26808,100%,Rwanda,9.0,t +18735,100%,,3.0,f +18735,100%,,3.0,f +1613,,,1.0,f +24362,100%,Djibouti,3.0,f +20537,,,1.0,f +3949,,,1.0,f +24671,,Ghana,10.0,f +20452,99%,Barbados,185.0,t +20452,99%,Barbados,185.0,t +909,100%,Croatia,18.0,t +26810,100%,,2.0,f +24020,77%,Tonga,6.0,t +1645,100%,,1.0,t +14689,100%,,2.0,f +33519,100%,,1.0,f +2433,100%,Tonga,21.0,f +7834,94%,Mexico,13.0,f +24651,,Kiribati,4.0,f +35821,100%,,1.0,f +10991,100%,Cocos (Keeling) Islands,4.0,f +880,,Lithuania,1.0,f +29782,100%,Gambia,1.0,f +11567,100%,Niger,31.0,t +37561,,,2.0,f +2578,100%,,4.0,f +29647,100%,Peru,1305.0,f +2433,100%,Tonga,21.0,f +44895,100%,France,3.0,t +34357,100%,Montserrat,3.0,f +2578,100%,,4.0,f +20334,99%,Niger,171.0,t +2578,100%,,4.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +2578,100%,,4.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +46176,,Chad,1.0,t +5488,90%,,12.0,f +5488,90%,,12.0,f +49064,100%,Lebanon,2.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +5488,90%,,12.0,f +37353,,,2.0,t +42162,,,1.0,t +37341,,Pakistan,3.0,f +31065,,,16.0,f +37561,,,2.0,f +21712,,,1.0,f +12286,75%,,1.0,t +13783,100%,,1.0,f +21498,90%,,1.0,f +6200,100%,,3.0,t +7424,,,1.0,f +10902,100%,Wallis and Futuna,6.0,f +49472,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +49401,100%,Malta,1.0,f +29647,100%,Peru,1305.0,f +24871,,,1.0,f +29647,100%,Peru,1305.0,f +36722,100%,Philippines,17.0,f +36722,100%,Philippines,17.0,f +32147,,,1.0,f +13639,100%,,1.0,f +14320,,Marshall Islands,1.0,t +11966,,,1.0,f +36722,100%,Philippines,17.0,f +37747,100%,Niger,1.0,f +16586,,French Guiana,2.0,f +17619,74%,Ghana,14.0,f +21698,50%,,1.0,t +20091,0%,Anguilla,2.0,t +42124,,Bosnia and Herzegovina,4.0,f +20387,100%,Malta,12.0,t +11742,,,1.0,f +18885,70%,El Salvador,7.0,t +24837,100%,El Salvador,3.0,f +47821,69%,Indonesia,2.0,t +43989,100%,El Salvador,1.0,f +741,90%,,3.0,t +20254,,Marshall Islands,1.0,f +12857,100%,,2.0,f +9533,,Senegal,16.0,t +4330,94%,Ukraine,60.0,t +14943,100%,,1.0,f +28740,100%,,1.0,f +22640,,Rwanda,8.0,t +44537,100%,Tonga,7.0,f +38654,100%,Jersey,2.0,f +4330,94%,Ukraine,60.0,t +33543,,,1.0,f +16430,,Niue,1.0,t +41447,0%,Andorra,3.0,f +41447,0%,Andorra,3.0,f +12285,,,1.0,f +17394,0%,Nicaragua,49.0,f +40194,,,1.0,f +47505,,,2.0,t +41313,100%,Denmark,10.0,t +22755,,,8.0,t +46367,80%,,1.0,f +20334,99%,Niger,171.0,t +45621,100%,Cape Verde,4.0,t +37371,100%,,2.0,f +48117,98%,Ukraine,41.0,f +6984,100%,Suriname,9.0,f +45552,93%,Nicaragua,12.0,t +6984,100%,Suriname,9.0,f +29920,,,1.0,f +23233,,,1.0,f +30419,67%,,1.0,t +7778,100%,Mauritania,7.0,t +3490,100%,Papua New Guinea,1.0,f +19441,90%,Niue,2.0,f +33991,,,2.0,f +48424,,,1.0,f +23675,100%,,3.0,f +29779,100%,Estonia,1.0,f +41447,0%,Andorra,3.0,f +47444,,,1.0,t +8224,98%,Estonia,12.0,f +7566,0%,,1.0,f +27934,100%,,1.0,f +20118,,,1.0,f +1823,100%,Ecuador,1.0,t +31065,,,16.0,f +31065,,,16.0,f +8224,98%,Estonia,12.0,f +17671,,Kiribati,1.0,f +47342,,Nicaragua,1.0,f +48411,,,1.0,f +10022,,,2.0,f +15117,100%,,1.0,f +24671,,Ghana,10.0,f +14386,100%,Nicaragua,8.0,f +10237,100%,Mexico,1.0,f +11456,,Malta,2.0,f +20521,,,7.0,t +15345,100%,Uzbekistan,1.0,t +6169,80%,Slovenia,2.0,t +38866,60%,,2.0,f +3225,,Mauritania,1.0,t +2792,100%,Guinea,1.0,f +8224,98%,Estonia,12.0,f +48775,,Cuba,1.0,t +15799,,,4.0,t +15799,,,4.0,t +5210,,Ghana,2.0,f +21034,,,1.0,f +42373,,,1.0,t +42604,,,1.0,f +12277,100%,,2.0,t +31065,,,16.0,f +18035,,,1.0,f +22640,,Rwanda,8.0,t +2211,,,1.0,f +12298,,Russian Federation,2.0,f +24084,86%,United Kingdom,1.0,t +35221,100%,Turks and Caicos Islands,30.0,t +6907,100%,Somalia,1.0,f +42358,100%,Svalbard & Jan Mayen Islands,3.0,f +15799,,,4.0,t +5739,,Somalia,1.0,f +28608,100%,,1.0,f +23293,,,1.0,f +25605,,Micronesia,2.0,f +45358,100%,Micronesia,3.0,t +38939,100%,Mexico,1.0,f +6984,100%,Suriname,9.0,f +23949,100%,Slovakia (Slovak Republic),6.0,t +31805,99%,Mauritania,20.0,f +6201,,,1.0,f +17699,83%,,1.0,f +32733,,Papua New Guinea,3.0,f +24545,,,1.0,f +26466,57%,France,1.0,f +8225,95%,Barbados,31.0,f +19943,63%,Isle of Man,34.0,f +34967,100%,,1.0,t +3325,50%,,1.0,f +43975,,,2.0,f +29647,100%,Peru,1305.0,f +40463,,Niue,1.0,f +18279,,,1.0,f +31805,99%,Mauritania,20.0,f +1763,,,1.0,f +23788,,,1.0,f +31063,100%,Gambia,1.0,f +45697,100%,,2.0,f +31065,,,16.0,f +31065,,,16.0,f +46099,98%,Uzbekistan,28.0,f +37850,,Gambia,1.0,t +11360,100%,,1.0,t +45476,,Gibraltar,2.0,f +32203,100%,Barbados,176.0,f +46424,,Niger,6.0,t +31642,,,1.0,f +44966,100%,Guinea,21.0,f +45490,95%,Barbados,6.0,f +23369,,French Guiana,2.0,t +12390,86%,Uzbekistan,3.0,f +36069,,Niue,2.0,f +43498,,,1.0,f +19019,97%,Nicaragua,1484.0,f +25632,100%,Cuba,13.0,f +45064,98%,Anguilla,15.0,f +19019,97%,Nicaragua,1484.0,f +2433,100%,Tonga,21.0,f +6720,100%,Micronesia,2.0,f +18424,,,1.0,f +18876,60%,Netherlands,26.0,f +23582,98%,Montserrat,17.0,f +32323,100%,,1.0,f +2517,,,1.0,t +13070,100%,Fiji,45.0,f +2597,100%,Nicaragua,13.0,t +45386,,Zimbabwe,1.0,f +6984,100%,Suriname,9.0,f +28117,,Gambia,1.0,f +43857,100%,,2.0,t +25761,0%,,1.0,t +17833,100%,Gambia,2.0,f +48840,100%,Uzbekistan,9.0,f +37512,,,1.0,f +7563,100%,Pakistan,3.0,f +9754,100%,Brazil,6.0,f +8393,,,1.0,t +29557,,Guinea,2.0,f +3996,,,1.0,t +42981,100%,,1.0,f +36512,0%,,1.0,f +12426,,,1.0,f +49497,,Zimbabwe,1.0,f +37497,,Mauritania,2.0,f +49809,,,1.0,f +23841,100%,,1.0,t +26096,,,1.0,f +31225,100%,Russian Federation,1.0,f +14965,100%,,1.0,t +19157,,,2.0,f +37596,,,1.0,f +28296,89%,Maldives,3.0,t +12277,100%,,2.0,t +41910,100%,Slovakia (Slovak Republic),5.0,f +41008,100%,Venezuela,6.0,f +4735,100%,,2.0,f +25650,90%,Monaco,3.0,f +20032,,,1.0,f +12247,100%,Maldives,33.0,f +30595,,Philippines,2.0,f +13008,100%,Anguilla,1.0,f +12247,100%,Maldives,33.0,f +12247,100%,Maldives,33.0,f +29527,,,1.0,f +12247,100%,Maldives,33.0,f +39635,,,1.0,t +656,,,2.0,f +43428,73%,Faroe Islands,9.0,t +27786,100%,,2.0,t +35391,100%,,2.0,t +106,100%,,1.0,f +20266,100%,Cuba,1.0,f +15663,,Jersey,1.0,f +47119,100%,Russian Federation,2.0,t +26358,70%,Monaco,3.0,t +44042,100%,,1.0,t +20922,,,1.0,f +33754,100%,Micronesia,1.0,f +25111,100%,,2.0,f +2307,90%,Guernsey,3.0,f +27896,100%,Marshall Islands,2.0,t +5843,100%,Niue,1.0,f +29234,100%,Togo,9.0,t +19954,100%,Uruguay,3.0,t +33334,100%,Togo,64.0,t +10991,100%,Cocos (Keeling) Islands,4.0,f +16067,83%,,1.0,t +11424,100%,,2.0,f +36576,100%,Tonga,4.0,t +9533,,Senegal,16.0,t +9533,,Senegal,16.0,t +2307,90%,Guernsey,3.0,f +2307,90%,Guernsey,3.0,f +9533,,Senegal,16.0,t +12247,100%,Maldives,33.0,f +5653,,,1.0,f +44966,100%,Guinea,21.0,f +6780,,Zimbabwe,2.0,t +27699,100%,,2.0,f +39162,67%,Micronesia,2.0,f +26864,,,1.0,f +23273,50%,Switzerland,3.0,f +38532,90%,,6.0,f +12050,,,1.0,f +45334,,,1.0,f +35945,90%,,2.0,f +7653,,,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +48437,,,1.0,f +25287,100%,,1.0,t +43540,72%,Bosnia and Herzegovina,25.0,f +18585,,Togo,1.0,f +33794,100%,,2.0,f +48875,100%,,1.0,f +26037,,,1.0,f +15707,100%,Vietnam,4.0,f +36170,,Malta,6.0,f +30971,,,1.0,f +8047,100%,El Salvador,1.0,f +18663,,Micronesia,1.0,t +32733,,Papua New Guinea,3.0,f +36170,,Malta,6.0,f +39572,,,1.0,f +32733,,Papua New Guinea,3.0,f +25632,100%,Cuba,13.0,f +23696,100%,Kiribati,1.0,t +25632,100%,Cuba,13.0,f +25632,100%,Cuba,13.0,f +32126,100%,United Kingdom,1.0,f +28828,100%,Isle of Man,198.0,t +34615,,,1.0,t +5485,,,1.0,f +49220,,,1.0,f +2614,,,1.0,t +11231,,,1.0,f +32961,,United Kingdom,6.0,t +3801,50%,Maldives,5.0,f +2361,,,3.0,f +4894,,Cocos (Keeling) Islands,1.0,f +35464,100%,,1.0,f +34161,100%,,1.0,t +20065,,Svalbard & Jan Mayen Islands,1.0,f +21274,100%,,2.0,t +47367,,Russian Federation,1.0,f +11839,,Uganda,11.0,f +9176,,Lebanon,1.0,f +26884,100%,Uzbekistan,1.0,f +31498,100%,Zimbabwe,2.0,f +2433,100%,Tonga,21.0,f +20883,100%,,1.0,f +24093,88%,Ghana,5.0,f +27212,,,1.0,f +19663,100%,Gambia,1.0,t +978,95%,Lithuania,29.0,f +36722,100%,Philippines,17.0,f +27359,100%,,1.0,f +2433,100%,Tonga,21.0,f +35175,,,2.0,f +33883,,,3.0,t +41783,67%,Malta,2.0,t +3947,,Zimbabwe,1.0,f +15983,100%,,1.0,f +44605,,,1.0,t +32203,100%,Barbados,176.0,f +39454,,Marshall Islands,1.0,f +33667,,,1.0,f +22617,,,1.0,t +30151,,,1.0,f +21883,,Bahrain,11.0,t +40421,96%,Jersey,29.0,t +38033,,,1.0,f +13982,100%,,2.0,f +41967,,,1.0,f +5721,100%,Togo,1.0,f +19700,100%,,1.0,f +9284,100%,Nicaragua,4.0,f +44908,100%,Vanuatu,2.0,f +8090,90%,Puerto Rico,2.0,f +31862,56%,,1.0,f +26672,100%,,1.0,f +13369,100%,Montserrat,2.0,f +1382,67%,,1.0,f +19025,0%,,1.0,t +31969,,,1.0,f +49402,,,1.0,f +46690,,,1.0,f +15960,,Sao Tome and Principe,1.0,t +39268,,,1.0,f +10444,100%,Nicaragua,2.0,f +44866,,,1.0,t +31763,,Niger,2.0,t +38700,,,1.0,f +28734,,,1.0,f +13857,,,1.0,f +8859,90%,Ukraine,5.0,f +45400,100%,,2.0,t +42366,50%,Chile,1.0,f +14514,,China,80.0,t +29936,,Niue,3.0,t +41985,,,1.0,f +48414,100%,Guinea,3.0,t +15664,100%,,3.0,f +615,,Mauritania,4.0,f +47485,100%,,2.0,t +23307,,,1.0,f +615,,Mauritania,4.0,f +615,,Mauritania,4.0,f +21949,100%,Monaco,1.0,t +615,,Mauritania,4.0,f +19220,100%,Isle of Man,1.0,f +47485,100%,,2.0,t +19971,,Chile,1.0,f +23371,,,1.0,f +41105,100%,,1.0,f +24033,100%,Uganda,45.0,f +25185,100%,United Kingdom,2.0,f +11179,100%,,1.0,f +43673,,,2.0,f +43673,,,2.0,f +19019,97%,Nicaragua,1484.0,f +22859,100%,Marshall Islands,1.0,f +13251,,,1.0,f +44753,100%,,1.0,f +18399,100%,Kiribati,8.0,t +47176,100%,Isle of Man,2.0,f +26808,100%,Rwanda,9.0,t +1559,,Andorra,1.0,f +5159,,Brazil,1.0,f +36965,100%,Monaco,1.0,f +29867,100%,Peru,2.0,t +13305,100%,,1.0,t +14193,80%,,2.0,t +526,100%,,3.0,f +20796,100%,Togo,2.0,f +38522,100%,Sao Tome and Principe,9.0,f +14193,80%,,2.0,t +19214,100%,Senegal,55.0,f +14638,,,2.0,f +36499,75%,Anguilla,25.0,t +38522,100%,Sao Tome and Principe,9.0,f +19214,100%,Senegal,55.0,f +27866,100%,Guinea,8.0,f +15004,100%,Uzbekistan,88.0,f +3961,100%,Fiji,8.0,f +50013,100%,Tonga,3.0,f +15004,100%,Uzbekistan,88.0,f +15004,100%,Uzbekistan,88.0,f +37137,,Malta,2.0,t +35789,,,1.0,f +35457,100%,,1.0,t +526,100%,,3.0,f +14048,100%,Finland,6.0,t +15060,100%,,3.0,f +17876,100%,Guinea,3.0,f +15060,100%,,3.0,f +48090,,,1.0,f +15060,100%,,3.0,f +44169,97%,Portugal,39.0,f +33574,60%,Brazil,4.0,t +19017,100%,,1.0,f +12202,,Marshall Islands,2.0,f +26539,100%,,1.0,t +41046,,Guinea,2.0,f +48992,100%,,1.0,t +41046,,Guinea,2.0,f +46525,,,1.0,f +12202,,Marshall Islands,2.0,f +36753,83%,Croatia,1.0,t +36085,33%,,1.0,f +36496,100%,,1.0,t +46447,100%,Cape Verde,1.0,f +39457,100%,,2.0,f +36397,,Tanzania,1.0,f +9207,,Marshall Islands,2.0,t +46448,,,1.0,f +21908,100%,Niue,49.0,f +37073,100%,Guinea,2.0,f +4212,,,1.0,f +26801,88%,,1.0,f +17923,,Rwanda,1.0,f +4745,100%,Croatia,119.0,f +41224,100%,Mauritania,3.0,t +22058,100%,,3.0,f +29481,100%,,1.0,t +45229,100%,,2.0,f +17876,100%,Guinea,3.0,f +39513,100%,,1.0,f +23177,100%,Estonia,5.0,f +48575,67%,Jersey,3.0,f +27700,100%,Turks and Caicos Islands,3.0,f +3665,,Central African Republic,2.0,t +23273,50%,Switzerland,3.0,f +6894,80%,Estonia,47.0,t +35227,100%,Guinea,2.0,f +16489,100%,Russian Federation,42.0,t +26759,100%,Isle of Man,1.0,f +47569,,,1.0,f +41099,,,1.0,f +1305,100%,,1.0,f +14230,100%,Vanuatu,1.0,f +24645,100%,,1.0,t +40414,95%,Somalia,4.0,f +43844,,,1.0,f +17161,,,1.0,t +40414,95%,Somalia,4.0,f +41232,100%,,3.0,f +12137,99%,Sao Tome and Principe,33.0,t +30580,97%,Montserrat,12.0,f +21551,,Anguilla,2.0,f +2927,100%,Uganda,10.0,t +6321,100%,Zimbabwe,3.0,f +12268,100%,,1.0,f +32707,,Guinea,1.0,f +36852,,,1.0,f +42179,,,1.0,f +36722,100%,Philippines,17.0,f +26288,,,1.0,t +26374,,Pakistan,1.0,f +6721,100%,,2.0,f +24473,,Costa Rica,17.0,f +24473,,Costa Rica,17.0,f +24473,,Costa Rica,17.0,f +9284,100%,Nicaragua,4.0,f +24473,,Costa Rica,17.0,f +9284,100%,Nicaragua,4.0,f +24473,,Costa Rica,17.0,f +34841,100%,Zimbabwe,22.0,t +21630,97%,Reunion,5.0,t +48502,100%,Nicaragua,11.0,t +48502,100%,Nicaragua,11.0,t +21182,,Lebanon,1.0,f +34499,100%,,2.0,f +10997,100%,Monaco,3.0,f +18895,,,3.0,f +39419,100%,,1.0,f +44362,100%,,1.0,t +21434,100%,,1.0,f +47071,40%,Sao Tome and Principe,3.0,t +15287,100%,,3.0,f +9751,100%,,1.0,f +28081,,,2.0,f +45403,90%,Venezuela,3.0,f +17189,,,1.0,t +36331,,Sao Tome and Principe,3.0,f +43910,,,1.0,f +30580,97%,Montserrat,12.0,f +27260,,,1.0,f +350,,Niue,1.0,f +8136,,,1.0,f +42219,100%,,1.0,f +31605,100%,,1.0,t +16114,,,1.0,f +41235,100%,Uzbekistan,2.0,t +33585,,Malawi,2.0,f +11839,,Uganda,11.0,f +6425,,,1.0,f +33564,100%,Maldives,1.0,t +18372,100%,El Salvador,1.0,f +4330,94%,Ukraine,60.0,t +47507,,Chad,1.0,f +15287,100%,,3.0,f +40086,100%,,2.0,t +36722,100%,Philippines,17.0,f +38297,100%,,3.0,f +15287,100%,,3.0,f +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +16520,100%,Marshall Islands,22.0,f +42479,100%,,1.0,f +34870,100%,,1.0,f +48309,,Niue,2.0,f +18772,,,1.0,t +36722,100%,Philippines,17.0,f +47415,,,1.0,f +25568,,,1.0,f +546,100%,Uganda,4.0,f +22436,,Nicaragua,2.0,f +2241,,,1.0,f +47374,,,1.0,f +17547,,Gibraltar,3.0,t +18034,59%,Svalbard & Jan Mayen Islands,4.0,f +39353,100%,Lithuania,2.0,t +21000,100%,,1.0,f +3280,100%,Isle of Man,2.0,t +39487,100%,Svalbard & Jan Mayen Islands,1.0,f +1346,100%,,5.0,f +11725,,,1.0,f +17752,,Venezuela,1.0,f +131,100%,,2.0,t +16489,100%,Russian Federation,42.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +15672,100%,Malawi,2.0,f +16502,100%,,1.0,f +29234,100%,Togo,9.0,t +1945,0%,,1.0,f +9846,100%,Indonesia,3.0,t +44085,100%,,2.0,f +17298,97%,Barbados,7.0,f +19655,100%,Tonga,13.0,t +4316,100%,Micronesia,18.0,f +37620,,,1.0,f +111,50%,,1.0,f +3849,100%,Palestinian Territory,2.0,t +43487,100%,,1.0,f +33052,,,1.0,f +4316,100%,Micronesia,18.0,f +17708,,,1.0,f +4316,100%,Micronesia,18.0,f +8522,,,1.0,f +25732,,,1.0,t +19551,,Faroe Islands,2.0,t +5666,,,1.0,f +18726,,Niue,2.0,t +24671,,Ghana,10.0,f +28746,,,1.0,t +9277,,Uzbekistan,1.0,f +26643,,,1.0,t +37408,91%,Papua New Guinea,5.0,t +31184,100%,,1.0,t +9870,,,1.0,t +47610,100%,Uzbekistan,10.0,f +46821,,,1.0,f +41235,100%,Uzbekistan,2.0,t +4161,,,1.0,f +38454,100%,Nicaragua,1.0,f +25153,83%,Niger,1.0,f +10791,100%,,1.0,f +25447,,Rwanda,1.0,f +44450,,,1.0,f +28152,80%,Svalbard & Jan Mayen Islands,2.0,f +30761,,,2.0,t +825,,,1.0,f +4595,,Sao Tome and Principe,2.0,f +2433,100%,Tonga,21.0,f +32486,,,1.0,f +11074,100%,,1.0,f +131,100%,,2.0,t +29222,100%,,1.0,f +29647,100%,Peru,1305.0,f +2433,100%,Tonga,21.0,f +17854,100%,,4.0,f +40304,100%,France,3.0,f +45813,,,1.0,f +29403,100%,,2.0,f +12521,,,1.0,f +8973,,,1.0,t +2433,100%,Tonga,21.0,f +31378,100%,Kiribati,1.0,f +24896,100%,Algeria,50.0,t +28669,100%,,1.0,t +48553,100%,,1.0,t +20812,50%,,1.0,f +9650,100%,Togo,2.0,f +9884,100%,,1.0,t +34005,100%,Vanuatu,1.0,f +11609,,Jersey,2.0,f +29647,100%,Peru,1305.0,f +32961,,United Kingdom,6.0,t +32961,,United Kingdom,6.0,t +43641,100%,,3.0,t +11297,13%,,1.0,f +23675,100%,,3.0,f +40838,90%,,3.0,f +1221,,,1.0,f +2626,100%,,1.0,t +27699,100%,,2.0,f +45534,100%,Brazil,5.0,t +24295,,Russian Federation,1.0,f +3243,100%,,2.0,f +20671,100%,Guinea,3.0,f +18968,100%,,1.0,f +9897,100%,Somalia,1.0,f +10390,,Guinea,2.0,f +44552,,,1.0,f +34635,,,1.0,f +46211,,,1.0,f +8117,100%,,1.0,f +28389,,Guernsey,1.0,f +49350,,,1.0,t +37753,100%,Togo,2.0,f +31111,,,1.0,f +26650,,,2.0,t +27257,,,2.0,f +33881,100%,Djibouti,2.0,t +651,100%,Lebanon,4.0,t +12231,100%,,1.0,f +34247,,Estonia,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +19214,100%,Senegal,55.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +24896,100%,Algeria,50.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +11199,,,1.0,f +44158,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +34928,100%,Ecuador,4.0,f +29647,100%,Peru,1305.0,f +50016,,Guinea,1.0,f +17866,100%,Tanzania,2.0,t +9057,90%,Kiribati,11.0,t +37342,100%,,2.0,f +37342,100%,,2.0,f +21908,100%,Niue,49.0,f +36859,,,2.0,f +36859,,,2.0,f +41606,,,1.0,t +19217,98%,Marshall Islands,46.0,f +7511,,,1.0,f +46325,100%,,1.0,f +41260,100%,Afghanistan,1.0,f +8319,100%,,1.0,f +7400,100%,,1.0,f +21908,100%,Niue,49.0,f +13463,,Tonga,1.0,f +14938,50%,,1.0,f +43669,100%,,1.0,f +23329,100%,Niue,1.0,f +7000,100%,,1.0,t +29594,100%,,1.0,t +35934,,,1.0,f +21042,,,2.0,f +35888,,,1.0,f +686,97%,Micronesia,7.0,t +25650,90%,Monaco,3.0,f +25146,100%,Sao Tome and Principe,4.0,f +33309,,Zimbabwe,2.0,t +29638,,,1.0,t +48504,,Netherlands,5.0,f +21084,100%,,3.0,t +34062,,Uganda,5.0,t +10611,100%,El Salvador,1.0,f +29791,,,4.0,f +5051,100%,El Salvador,12.0,f +40773,100%,,1.0,t +2502,100%,Estonia,1.0,t +31721,50%,,1.0,f +50086,100%,,1.0,f +6580,100%,Kiribati,5.0,t +29403,100%,,2.0,f +26041,,Lebanon,1.0,t +29647,100%,Peru,1305.0,f +6363,100%,,1.0,f +22796,0%,,1.0,t +44511,100%,Bouvet Island (Bouvetoya),4.0,f +29647,100%,Peru,1305.0,f +20027,100%,,2.0,f +19314,,,1.0,f +19430,67%,,1.0,f +9699,,,1.0,f +40475,,Zimbabwe,3.0,t +26081,,,2.0,f +18374,100%,,3.0,f +39582,,,1.0,f +13184,100%,Vietnam,7.0,f +14557,100%,,3.0,t +24896,100%,Algeria,50.0,t +1346,100%,,5.0,f +4572,100%,,2.0,t +16976,,,1.0,t +40785,100%,,1.0,f +30272,60%,,1.0,t +14088,,,1.0,t +9975,,,1.0,f +16018,,,1.0,f +14059,100%,Uganda,9.0,f +18728,,,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +27859,,,1.0,f +27054,,,1.0,f +30545,,,1.0,f +34028,100%,Brazil,2.0,t +30580,97%,Montserrat,12.0,f +23770,80%,,1.0,t +8194,,Russian Federation,1.0,f +39222,67%,Bouvet Island (Bouvetoya),3.0,f +6926,100%,Marshall Islands,1.0,f +19019,97%,Nicaragua,1484.0,f +34552,,,1.0,f +19019,97%,Nicaragua,1484.0,f +49408,100%,Nicaragua,1.0,t +46286,100%,Venezuela,2.0,f +7001,,,1.0,f +48767,,Nauru,1.0,t +12065,0%,,2.0,f +48388,,Gibraltar,1.0,f +11667,,,1.0,f +27042,,,1.0,f +23126,100%,China,2.0,f +46460,100%,,1.0,t +9983,100%,,1.0,f +10914,,Niue,1.0,f +31092,,Senegal,19.0,f +38873,100%,Mauritania,4.0,f +29647,100%,Peru,1305.0,f +22331,99%,Rwanda,50.0,t +32203,100%,Barbados,176.0,f +34121,,,1.0,f +472,100%,,1.0,t +34020,100%,,1.0,f +20334,99%,Niger,171.0,t +32203,100%,Barbados,176.0,f +25100,100%,,2.0,f +12049,,,1.0,f +32203,100%,Barbados,176.0,f +7640,100%,Tonga,2.0,f +32038,100%,Indonesia,35.0,f +34184,,,3.0,f +32203,100%,Barbados,176.0,f +35485,100%,Lebanon,2.0,f +46680,100%,,2.0,t +49709,,Afghanistan,1.0,t +15044,,Russian Federation,1.0,f +45145,,,1.0,f +1987,0%,,2.0,f +11899,,Denmark,1.0,t +12467,,,2.0,f +9790,,Greenland,1.0,f +1987,0%,,2.0,f +34046,90%,Guinea,1.0,f +22150,100%,,1.0,t +2154,100%,Guinea,3.0,t +34125,,,1.0,t +39471,100%,,2.0,t +3961,100%,Fiji,8.0,f +15312,,Kiribati,2.0,f +15864,100%,Afghanistan,2.0,f +27785,100%,Uzbekistan,58.0,f +44901,100%,Bouvet Island (Bouvetoya),5.0,f +19360,100%,,1.0,t +44901,100%,Bouvet Island (Bouvetoya),5.0,f +27785,100%,Uzbekistan,58.0,f +18229,100%,,2.0,f +1001,100%,Faroe Islands,2.0,t +37964,,,1.0,f +23117,82%,,33.0,f +23117,82%,,33.0,f +43338,100%,,1.0,f +1346,100%,,5.0,f +42882,100%,,1.0,f +1346,100%,,5.0,f +37703,,,1.0,f +1346,100%,,5.0,f +5474,,,1.0,t +14246,100%,Kiribati,1.0,t +42825,50%,,1.0,f +41773,78%,Maldives,2.0,t +39495,,,1.0,f +11662,,Malawi,1.0,t +5988,100%,United Kingdom,1.0,f +16275,98%,Maldives,24.0,f +34405,100%,Maldives,3.0,t +44013,88%,,2.0,f +222,89%,,16.0,f +36433,100%,,1.0,f +41709,100%,,12.0,f +25045,,Reunion,1.0,f +40865,,Tonga,1.0,f +16635,,,1.0,t +9354,100%,Spain,12.0,f +9354,100%,Spain,12.0,f +30270,100%,,1.0,f +9933,,,1.0,f +16944,50%,Malta,1.0,t +23433,,China,1.0,f +49248,,,1.0,f +8595,100%,Lebanon,3.0,t +19142,90%,Niger,9.0,f +47986,100%,,2.0,f +38258,,Bahrain,2.0,f +48924,,Papua New Guinea,4.0,f +38258,,Bahrain,2.0,f +40341,100%,,1.0,t +36471,,,1.0,f +45965,100%,Estonia,8.0,f +518,100%,Turks and Caicos Islands,1.0,f +39765,100%,United Kingdom,2.0,t +38992,100%,,1.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +23198,100%,,1.0,t +8428,100%,,1.0,f +38114,94%,Uzbekistan,19.0,f +49024,100%,Russian Federation,1.0,f +5733,100%,,1.0,f +3215,100%,,1.0,f +23826,100%,,1.0,t +37282,100%,,3.0,f +19814,,,1.0,f +11427,,Slovakia (Slovak Republic),4.0,t +18881,,,1.0,f +25111,100%,,2.0,f +6025,,,1.0,f +44739,100%,,1.0,f +39373,,,1.0,f +23949,100%,Slovakia (Slovak Republic),6.0,t +4219,,,1.0,f +26642,,,1.0,f +26416,100%,Russian Federation,1.0,f +31742,,,1.0,f +27729,,Afghanistan,4.0,f +13689,,,1.0,f +12777,100%,,1.0,t +27729,,Afghanistan,4.0,f +2253,100%,Mauritania,2.0,f +42576,80%,Maldives,2.0,f +27729,,Afghanistan,4.0,f +19053,100%,Svalbard & Jan Mayen Islands,4.0,t +16446,,,1.0,f +11497,,Barbados,2.0,t +9650,100%,Togo,2.0,f +5452,100%,Nicaragua,1.0,f +41360,100%,Finland,1.0,f +25659,100%,United Kingdom,1.0,t +30029,90%,El Salvador,8.0,f +18193,0%,,2.0,f +44282,,,1.0,f +25748,,Mauritania,1.0,t +48197,100%,Zimbabwe,1.0,f +40469,,,1.0,f +46581,100%,,1.0,t +40712,100%,,1.0,t +26869,,,1.0,f +37684,,,1.0,f +32792,,Indonesia,12.0,f +31858,,Uzbekistan,1.0,f +44929,,Christmas Island,1.0,f +597,100%,,1.0,t +21914,100%,,1.0,f +24368,,,1.0,f +36065,,Estonia,2.0,f +22033,,,1.0,f +11990,,Niue,3.0,f +19398,80%,Uzbekistan,1.0,f +17424,,,1.0,t +46230,,Anguilla,1.0,f +4020,,France,1.0,f +15199,,Kiribati,1.0,t +38697,,France,1.0,f +23363,,Puerto Rico,1.0,f +16285,100%,Guernsey,1.0,f +2448,,,1.0,f +35625,98%,Estonia,25.0,t +38114,94%,Uzbekistan,19.0,f +35221,100%,Turks and Caicos Islands,30.0,t +14845,100%,,1.0,f +13606,100%,,4.0,f +24468,100%,Peru,1.0,t +18121,100%,Bouvet Island (Bouvetoya),8.0,f +7415,100%,Uzbekistan,8.0,f +7415,100%,Uzbekistan,8.0,f +7415,100%,Uzbekistan,8.0,f +41709,100%,,12.0,f +39292,44%,Gambia,1.0,f +17290,,,1.0,t +1496,,,1.0,f +43012,67%,,1.0,f +3620,100%,Russian Federation,1.0,f +34184,,,3.0,f +42692,100%,French Polynesia,1.0,f +13126,,,1.0,t +31455,,,1.0,f +36128,,,1.0,f +15550,,,1.0,f +8818,0%,Micronesia,1.0,f +27972,94%,Brazil,27.0,f +8318,100%,,1.0,f +46606,20%,,1.0,t +5781,,,1.0,f +33476,,Uzbekistan,1.0,t +3196,,,1.0,f +23814,,Russian Federation,26.0,f +12905,,,1.0,f +23814,,Russian Federation,26.0,f +36052,100%,,2.0,t +17226,,,1.0,t +7563,100%,Pakistan,3.0,f +2433,100%,Tonga,21.0,f +36331,,Sao Tome and Principe,3.0,f +32203,100%,Barbados,176.0,f +28820,,,1.0,f +28397,,,1.0,f +35625,98%,Estonia,25.0,t +29803,,,1.0,f +37419,,,1.0,f +15768,,,1.0,f +1296,,,1.0,f +2433,100%,Tonga,21.0,f +24212,90%,Chile,2.0,t +24195,56%,Barbados,14.0,f +28489,90%,Malta,5.0,t +38114,94%,Uzbekistan,19.0,f +12681,100%,,1.0,f +24195,56%,Barbados,14.0,f +19915,100%,,1.0,f +14811,,,1.0,f +34063,,,1.0,t +40016,100%,Russian Federation,1.0,f +48865,,,1.0,f +48004,100%,,1.0,f +17322,95%,,30.0,f +34536,100%,,1.0,f +47839,,,1.0,f +25901,100%,,1.0,f +38114,94%,Uzbekistan,19.0,f +17322,95%,,30.0,f +17322,95%,,30.0,f +3622,100%,,1.0,f +31770,,,2.0,f +17322,95%,,30.0,f +43760,,,1.0,f +38114,94%,Uzbekistan,19.0,f +17322,95%,,30.0,f +39779,,Faroe Islands,1.0,f +29474,100%,,1.0,f +38114,94%,Uzbekistan,19.0,f +21240,94%,Niger,130.0,f +17880,100%,,1.0,f +38114,94%,Uzbekistan,19.0,f +10599,,El Salvador,1.0,f +35976,100%,,6.0,t +1029,,Isle of Man,4.0,t +21294,,,1.0,t +8870,100%,Svalbard & Jan Mayen Islands,3.0,f +48409,,Estonia,60.0,t +44013,88%,,2.0,f +19655,100%,Tonga,13.0,t +7787,71%,,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +46742,100%,,2.0,t +45111,100%,Sao Tome and Principe,420.0,f +48760,98%,Ghana,24.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +42606,100%,Micronesia,1.0,f +27774,78%,Vietnam,15.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +38522,100%,Sao Tome and Principe,9.0,f +45111,100%,Sao Tome and Principe,420.0,f +4745,100%,Croatia,119.0,f +45111,100%,Sao Tome and Principe,420.0,f +21408,,Turkmenistan,1.0,f +48760,98%,Ghana,24.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +24473,,Costa Rica,17.0,f +45111,100%,Sao Tome and Principe,420.0,f +44424,,,1.0,t +45111,100%,Sao Tome and Principe,420.0,f +48760,98%,Ghana,24.0,f +29577,,,1.0,f +32792,,Indonesia,12.0,f +18459,100%,Zimbabwe,100.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +48760,98%,Ghana,24.0,f +32934,100%,Isle of Man,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +33927,100%,Barbados,9.0,f +48760,98%,Ghana,24.0,f +48760,98%,Ghana,24.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +48760,98%,Ghana,24.0,f +8330,100%,Mauritania,3.0,f +48760,98%,Ghana,24.0,f +45111,100%,Sao Tome and Principe,420.0,f +48760,98%,Ghana,24.0,f +45111,100%,Sao Tome and Principe,420.0,f +42527,,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +23168,,Bouvet Island (Bouvetoya),3.0,t +45111,100%,Sao Tome and Principe,420.0,f +42305,100%,Senegal,1.0,f +11839,,Uganda,11.0,f +45111,100%,Sao Tome and Principe,420.0,f +12184,,Guinea,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +32792,,Indonesia,12.0,f +45111,100%,Sao Tome and Principe,420.0,f +10613,,Isle of Man,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +40990,100%,Nicaragua,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +44511,100%,Bouvet Island (Bouvetoya),4.0,f +45111,100%,Sao Tome and Principe,420.0,f +48649,100%,Kiribati,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +244,,,1.0,t +45111,100%,Sao Tome and Principe,420.0,f +30420,,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +39021,0%,Micronesia,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +17322,95%,,30.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +14032,,,9.0,f +17322,95%,,30.0,f +45111,100%,Sao Tome and Principe,420.0,f +32792,,Indonesia,12.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +6742,100%,,1.0,f +40909,,,1.0,f +5226,38%,,1.0,f +17322,95%,,30.0,f +37461,100%,Tonga,2.0,f +17322,95%,,30.0,f +2358,,,1.0,f +2433,100%,Tonga,21.0,f +26887,,,2.0,f +37461,100%,Tonga,2.0,f +18546,100%,,1.0,f +29647,100%,Peru,1305.0,f +15293,100%,Denmark,1.0,f +17322,95%,,30.0,f +19019,97%,Nicaragua,1484.0,f +3097,,Gibraltar,1.0,f +4061,,,1.0,t +10271,,,1.0,f +6153,,,1.0,f +20323,,Mexico,2.0,f +21033,,Rwanda,2.0,t +40199,100%,Uzbekistan,6.0,f +35719,50%,El Salvador,1.0,f +43564,70%,,3.0,f +15359,,,2.0,t +32071,,,1.0,f +16695,96%,Tonga,8.0,f +28560,100%,Estonia,3.0,t +10528,100%,,2.0,f +17322,95%,,30.0,f +45129,,,1.0,f +17322,95%,,30.0,f +19400,100%,Gibraltar,7.0,f +28047,100%,Uzbekistan,4.0,f +24867,90%,Bosnia and Herzegovina,5.0,f +39914,50%,Russian Federation,2.0,f +2367,100%,Kiribati,9.0,f +37441,100%,Vietnam,12.0,t +47301,,,3.0,f +9388,100%,,2.0,t +33764,100%,,1.0,f +17298,97%,Barbados,7.0,f +37441,100%,Vietnam,12.0,t +47301,,,3.0,f +4917,,,1.0,t +26814,100%,,1.0,f +1940,100%,Zimbabwe,1.0,f +35882,,,1.0,f +47301,,,3.0,f +24002,100%,,1.0,f +949,,,1.0,f +35479,,,1.0,f +17322,95%,,30.0,f +6922,,French Guiana,1.0,f +38873,100%,Mauritania,4.0,f +40882,,,1.0,f +41321,67%,Russian Federation,1.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +53,,Bahrain,1.0,t +35144,100%,,2.0,f +38571,100%,,2.0,f +12343,,Zimbabwe,1.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +32989,,,1.0,f +3716,,,1.0,f +41839,100%,Niue,2.0,f +36817,91%,Slovakia (Slovak Republic),6.0,f +2433,100%,Tonga,21.0,f +23475,100%,,13.0,f +13793,,Tonga,1.0,f +7899,,,1.0,f +18413,91%,,4.0,f +15154,,,1.0,f +31380,83%,Lebanon,1.0,f +44945,90%,Marshall Islands,4.0,t +21240,94%,Niger,130.0,f +17814,,,1.0,f +32792,,Indonesia,12.0,f +36436,,,1.0,f +15648,,Rwanda,1.0,t +21240,94%,Niger,130.0,f +17766,25%,,1.0,f +22765,100%,,1.0,t +4594,90%,Chad,4.0,t +32792,,Indonesia,12.0,f +28422,,Sao Tome and Principe,1.0,f +6777,,Lebanon,1.0,t +21240,94%,Niger,130.0,f +39499,100%,Kiribati,1.0,t +21240,94%,Niger,130.0,f +41373,,Lebanon,8.0,f +22815,100%,,1.0,f +48465,,,1.0,t +23032,100%,,1.0,f +27907,100%,Puerto Rico,21.0,f +32676,100%,China,34.0,f +38067,,,1.0,f +16578,,Andorra,1.0,f +18247,95%,Iran,80.0,t +27774,78%,Vietnam,15.0,f +32960,100%,Gambia,1.0,f +46740,,Mauritania,2.0,f +46099,98%,Uzbekistan,28.0,f +19472,100%,United Kingdom,6.0,f +48058,100%,Zimbabwe,1.0,f +47460,100%,,1.0,f +18459,100%,Zimbabwe,100.0,f +24195,56%,Barbados,14.0,f +6857,,,1.0,f +18459,100%,Zimbabwe,100.0,f +2047,,Isle of Man,2.0,f +18459,100%,Zimbabwe,100.0,f +27774,78%,Vietnam,15.0,f +18459,100%,Zimbabwe,100.0,f +6514,100%,Monaco,2.0,t +41709,100%,,12.0,f +36220,,Lebanon,1.0,f +32203,100%,Barbados,176.0,f +24195,56%,Barbados,14.0,f +23814,,Russian Federation,26.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +23814,,Russian Federation,26.0,f +19472,100%,United Kingdom,6.0,f +23814,,Russian Federation,26.0,f +23814,,Russian Federation,26.0,f +8732,,,1.0,f +25840,,,1.0,f +41709,100%,,12.0,f +15476,,,1.0,t +41709,100%,,12.0,f +41709,100%,,12.0,f +41709,100%,,12.0,f +20174,100%,,2.0,f +32203,100%,Barbados,176.0,f +45971,100%,,2.0,t +41709,100%,,12.0,f +38612,100%,Estonia,1.0,f +19019,97%,Nicaragua,1484.0,f +28061,100%,Denmark,5.0,f +34095,100%,Russian Federation,3.0,f +8174,,Jersey,2.0,t +32061,,,1.0,f +2947,,Russian Federation,2.0,f +20027,100%,,2.0,f +34654,,,1.0,t +4106,0%,,1.0,f +34873,,,1.0,f +2342,,,2.0,f +19109,100%,Philippines,4.0,f +46305,,,1.0,f +23475,100%,,13.0,f +3963,100%,Kenya,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44080,,,1.0,f +532,100%,,2.0,f +2342,,,2.0,f +32894,,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +14293,,,1.0,t +42506,100%,Denmark,1.0,t +29269,100%,,1.0,f +27169,,,1.0,f +14125,100%,Maldives,1.0,t +23475,100%,,13.0,f +35441,100%,Lithuania,1.0,f +24044,100%,,1.0,f +23475,100%,,13.0,f +30786,,Uzbekistan,29.0,f +28546,,,1.0,t +25330,,Philippines,1.0,t +19472,100%,United Kingdom,6.0,f +18904,,,2.0,f +23675,100%,,3.0,f +22802,,Monaco,1.0,t +47604,95%,Uzbekistan,4.0,t +7030,100%,Guernsey,6.0,f +35764,,,2.0,t +32792,,Indonesia,12.0,f +41705,67%,,1.0,f +32792,,Indonesia,12.0,f +45340,,Maldives,1.0,f +31944,,Somalia,1.0,t +30435,99%,Cape Verde,41.0,f +23949,100%,Slovakia (Slovak Republic),6.0,t +16818,98%,Nicaragua,5.0,t +22766,,,1.0,f +10758,,,1.0,t +30157,,,1.0,f +27910,,,1.0,f +32228,,,1.0,t +15147,100%,,1.0,f +107,,,1.0,t +22385,,Croatia,1.0,f +37617,,,1.0,f +39290,100%,,1.0,f +13000,100%,Indonesia,2.0,t +24077,100%,,1.0,f +31856,,,1.0,t +12562,100%,,2.0,f +23475,100%,,13.0,f +19568,,Uzbekistan,3.0,t +19568,,Uzbekistan,3.0,t +4080,,,1.0,f +2886,,,1.0,t +9923,100%,Gambia,2.0,f +26494,83%,,2.0,f +29640,,Uzbekistan,1.0,f +8026,,Senegal,1.0,t +19704,,Gambia,1.0,f +42399,,,1.0,t +1821,100%,,1.0,f +16466,,,2.0,f +45202,,,1.0,f +4330,94%,Ukraine,60.0,t +1887,,Tonga,2.0,f +42495,,,1.0,f +27987,100%,Grenada,1.0,f +1880,100%,Niue,1.0,t +11315,,Maldives,3.0,f +21100,,,1.0,f +19337,100%,,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +46592,100%,,1.0,f +16188,90%,Uzbekistan,1.0,t +47641,100%,Kiribati,1.0,f +30974,100%,,1.0,f +292,,,1.0,f +11315,,Maldives,3.0,f +46470,100%,,1.0,t +36920,,,2.0,f +11315,,Maldives,3.0,f +37168,90%,Jersey,2.0,f +1862,33%,Micronesia,1.0,f +39106,,,1.0,f +49399,100%,Guinea,4.0,t +27969,,,1.0,t +32066,,,1.0,f +2961,,,1.0,t +39563,100%,,1.0,f +39916,,,1.0,f +16489,100%,Russian Federation,42.0,t +12995,,,1.0,f +46209,100%,,1.0,f +24671,,Ghana,10.0,f +26494,83%,,2.0,f +25688,,Uzbekistan,2.0,t +29061,100%,,1.0,f +30260,100%,,3.0,f +13951,100%,,1.0,f +27685,,,2.0,f +6200,100%,,3.0,t +48901,86%,,1.0,f +23475,100%,,13.0,f +18328,100%,,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +48599,100%,Malawi,3.0,f +21201,,Vanuatu,2.0,f +14411,,,1.0,t +38914,,,1.0,f +16754,,,1.0,f +28399,,Guinea,4.0,f +24564,,,1.0,t +41607,100%,Liechtenstein,3.0,f +8961,100%,Puerto Rico,1.0,f +35099,100%,,1.0,f +23309,100%,,1.0,f +29979,90%,,1.0,t +31733,100%,,2.0,f +45983,,Gambia,1.0,f +39405,100%,United Kingdom,1.0,f +24195,56%,Barbados,14.0,f +20708,100%,,1.0,f +45502,100%,,1.0,f +40863,,Faroe Islands,1.0,t +15272,100%,,2.0,t +47432,,,1.0,f +7609,100%,,1.0,f +18855,,Malawi,1.0,f +3504,100%,Isle of Man,2.0,t +42551,100%,Venezuela,1.0,f +39845,100%,Togo,4.0,f +2317,,,1.0,f +24195,56%,Barbados,14.0,f +16218,100%,Malawi,1.0,f +33725,80%,Slovakia (Slovak Republic),1.0,f +39845,100%,Togo,4.0,f +44751,100%,,1.0,f +24195,56%,Barbados,14.0,f +45259,,Isle of Man,1.0,f +14557,100%,,3.0,t +23475,100%,,13.0,f +4745,100%,Croatia,119.0,f +34807,,,1.0,f +23475,100%,,13.0,f +26498,100%,Russian Federation,3.0,f +21552,,Nicaragua,6.0,f +23475,100%,,13.0,f +13792,,,1.0,f +23475,100%,,13.0,f +19091,95%,Cook Islands,18.0,t +36127,100%,,16.0,f +978,95%,Lithuania,29.0,f +17078,100%,,7.0,f +17078,100%,,7.0,f +17078,100%,,7.0,f +35170,100%,Vietnam,5.0,t +23475,100%,,13.0,f +47977,100%,,1.0,t +36127,100%,,16.0,f +3988,,Gibraltar,1.0,f +23560,93%,,9.0,f +13012,60%,Uzbekistan,2.0,f +23475,100%,,13.0,f +23489,,,1.0,t +9520,,Monaco,1.0,f +22111,100%,Sao Tome and Principe,2.0,f +23475,100%,,13.0,f +28955,,,1.0,t +38448,,,1.0,t +11890,,Guinea,1.0,f +41635,100%,Iceland,5.0,f +20057,100%,,1.0,f +37650,,,7.0,t +2685,100%,,1.0,f +23416,100%,Guinea,1.0,f +469,,,2.0,f +28823,,Tanzania,1.0,f +39309,,,1.0,f +31304,100%,Uzbekistan,3.0,f +36750,100%,Jersey,3.0,f +19941,80%,,2.0,f +34013,80%,,2.0,t +6602,100%,,1.0,f +7090,80%,Philippines,2.0,f +47505,,,2.0,t +24896,100%,Algeria,50.0,t +24896,100%,Algeria,50.0,t +31202,90%,Kiribati,107.0,f +45410,,,1.0,f +31707,100%,Niger,48.0,f +31707,100%,Niger,48.0,f +23267,100%,,1.0,t +978,95%,Lithuania,29.0,f +31379,100%,France,5.0,t +4745,100%,Croatia,119.0,f +32611,100%,Ecuador,1.0,f +33604,90%,Marshall Islands,8.0,t +42367,,Bouvet Island (Bouvetoya),1.0,t +27070,100%,Uzbekistan,2.0,f +6495,89%,Tonga,34.0,f +40497,,,1.0,f +35648,,France,1.0,f +31296,98%,,4.0,f +33130,,,1.0,f +2531,100%,,1.0,f +23531,0%,,1.0,t +978,95%,Lithuania,29.0,f +10042,,Indonesia,21.0,f +6321,100%,Zimbabwe,3.0,f +23781,50%,,2.0,f +16347,67%,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +16762,,,2.0,f +15829,,Palestinian Territory,1.0,f +39412,0%,Reunion,3.0,f +16762,,,2.0,f +42390,100%,Wallis and Futuna,96.0,t +18904,,,2.0,f +33247,,,1.0,f +45252,,,1.0,f +38943,,Slovenia,1.0,f +11304,100%,,1.0,f +5909,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +24473,,Costa Rica,17.0,f +24473,,Costa Rica,17.0,f +24473,,Costa Rica,17.0,f +22939,100%,Cocos (Keeling) Islands,1.0,f +33361,,United Kingdom,2.0,t +39988,100%,Faroe Islands,1.0,t +12271,100%,Brazil,3.0,t +14059,100%,Uganda,9.0,f +19399,,,1.0,t +42959,,Mauritania,1.0,f +35136,,,1.0,f +13714,,,1.0,f +302,100%,Tunisia,20.0,f +18166,,,1.0,t +8281,100%,,1.0,f +2944,100%,,1.0,t +35144,100%,,2.0,f +29134,,,1.0,f +35797,,,1.0,f +17902,100%,,2.0,t +17322,95%,,30.0,f +17322,95%,,30.0,f +17322,95%,,30.0,f +17322,95%,,30.0,f +19443,,,2.0,f +10711,93%,Uganda,108.0,t +32203,100%,Barbados,176.0,f +46283,,,2.0,t +19434,,,1.0,f +40593,,Nauru,10.0,t +13722,75%,,1.0,f +34042,100%,Marshall Islands,37.0,f +43786,100%,,1.0,t +44005,,,2.0,t +42051,100%,Nicaragua,11.0,t +29647,100%,Peru,1305.0,f +27267,95%,Tonga,6.0,f +43152,100%,Nicaragua,82.0,t +152,100%,,1.0,t +28766,100%,Estonia,16.0,f +6495,89%,Tonga,34.0,f +2743,97%,China,23.0,f +32203,100%,Barbados,176.0,f +2743,97%,China,23.0,f +43546,100%,,1.0,f +2743,97%,China,23.0,f +15360,,,2.0,t +21855,,Lebanon,2.0,t +5433,,Cape Verde,4.0,t +41442,100%,,1.0,t +24285,100%,Bouvet Island (Bouvetoya),1.0,f +24887,,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +2642,,Andorra,4.0,f +18517,,,1.0,t +47112,,Uganda,1.0,t +38007,,Micronesia,2.0,f +8613,100%,,1.0,t +36421,100%,Lebanon,4.0,t +9219,100%,Togo,1.0,f +29005,100%,Peru,3.0,f +47622,100%,Fiji,4.0,f +9548,,Jersey,1.0,f +29863,80%,,1.0,t +19826,100%,,2.0,f +32386,97%,Indonesia,19.0,f +14082,100%,Nicaragua,3.0,t +356,99%,Wallis and Futuna,32.0,t +32386,97%,Indonesia,19.0,f +32386,97%,Indonesia,19.0,f +32386,97%,Indonesia,19.0,f +14082,100%,Nicaragua,3.0,t +31995,100%,Portugal,2.0,f +31219,100%,,1.0,t +19295,,Uganda,1.0,f +5893,100%,Guinea,4.0,f +34428,100%,Faroe Islands,1.0,f +40120,100%,Lebanon,2.0,t +4244,100%,,1.0,f +2743,97%,China,23.0,f +32203,100%,Barbados,176.0,f +27344,,,1.0,f +22478,100%,,1.0,f +611,86%,Montserrat,7.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +29557,,Guinea,2.0,f +20513,,Korea,2.0,t +47326,,,1.0,f +19472,100%,United Kingdom,6.0,f +32203,100%,Barbados,176.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +18859,100%,Sao Tome and Principe,1.0,f +45546,100%,Cape Verde,19.0,t +14977,,,1.0,t +17135,0%,,1.0,t +33545,100%,,16.0,f +34640,100%,,1.0,t +42230,,Micronesia,1.0,f +40120,100%,Lebanon,2.0,t +16517,,Guernsey,1.0,t +33545,100%,,16.0,f +6945,100%,Cuba,8.0,f +35670,100%,Russian Federation,2.0,f +16749,100%,,1.0,t +4672,,,1.0,f +47398,100%,,1.0,t +12584,,Philippines,1.0,t +2789,100%,Russian Federation,2.0,t +26263,,Isle of Man,1.0,t +2651,,,1.0,f +5099,100%,Gibraltar,1.0,f +29663,,,1.0,t +14059,100%,Uganda,9.0,f +2468,,,1.0,f +31313,,,2.0,f +9026,,,1.0,f +35625,98%,Estonia,25.0,t +7442,,,1.0,t +5657,,,1.0,f +49131,,Denmark,1.0,f +34948,,,1.0,f +27621,,Cocos (Keeling) Islands,1.0,f +2238,100%,Niue,1.0,f +35625,98%,Estonia,25.0,t +10042,,Indonesia,21.0,f +19142,90%,Niger,9.0,f +15488,,Nicaragua,4.0,f +45111,100%,Sao Tome and Principe,420.0,f +15488,,Nicaragua,4.0,f +20334,99%,Niger,171.0,t +25460,100%,Maldives,13.0,f +25460,100%,Maldives,13.0,f +38669,100%,Kiribati,3.0,f +14675,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +25460,100%,Maldives,13.0,f +14059,100%,Uganda,9.0,f +32374,100%,,1.0,f +30786,,Uzbekistan,29.0,f +28232,100%,Venezuela,1.0,f +32347,50%,Denmark,2.0,f +11781,100%,Guinea,2.0,t +262,97%,Maldives,16.0,t +37240,50%,,3.0,t +45373,100%,,1.0,f +19974,100%,Ukraine,3.0,f +31518,100%,Maldives,2.0,f +10711,93%,Uganda,108.0,t +38861,,,1.0,f +28885,,,1.0,f +15751,100%,Tanzania,1.0,f +19019,97%,Nicaragua,1484.0,f +26269,100%,,4.0,f +5143,,,1.0,f +36503,,,1.0,f +5401,100%,Lebanon,2.0,f +35253,,,1.0,f +18508,,Turks and Caicos Islands,1.0,t +10444,100%,Nicaragua,2.0,f +18895,,,3.0,f +41204,100%,,1.0,f +22388,100%,Tonga,2.0,f +33570,100%,Turks and Caicos Islands,1.0,t +46496,,Uzbekistan,1.0,f +16119,67%,Maldives,1.0,f +34256,,,1.0,f +16916,,Guernsey,1.0,f +3644,,Anguilla,1.0,t +12208,100%,Saint Helena,2.0,f +16440,100%,,1.0,t +19958,100%,Congo,40.0,t +33809,,,1.0,f +23645,,,1.0,f +31959,,Rwanda,4.0,f +27734,100%,,1.0,f +44966,100%,Guinea,21.0,f +469,,,2.0,f +44966,100%,Guinea,21.0,f +35825,,,1.0,t +15488,,Nicaragua,4.0,f +41301,100%,Costa Rica,9.0,t +44599,100%,,2.0,t +8090,90%,Puerto Rico,2.0,f +49759,100%,French Guiana,1.0,f +14059,100%,Uganda,9.0,f +6327,,Guinea,2.0,t +28828,100%,Isle of Man,198.0,t +24678,,Faroe Islands,2.0,f +4589,100%,,1.0,f +22351,90%,,1.0,t +41882,,,1.0,f +34824,,Zimbabwe,1.0,f +35510,100%,,1.0,f +19473,,,3.0,f +6409,,,1.0,t +15488,,Nicaragua,4.0,f +43544,100%,,1.0,f +15113,,,1.0,f +10661,0%,,1.0,t +38588,,Somalia,1.0,f +11283,,Cyprus,2.0,f +26140,100%,,1.0,f +31342,,,1.0,f +12081,100%,Zimbabwe,2.0,t +43562,,,1.0,f +39767,100%,,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +1774,70%,,1.0,t +1079,,,1.0,f +34990,,Uganda,1.0,f +18154,,Finland,1.0,t +33043,,Niue,2.0,f +30260,100%,,3.0,f +19003,,,2.0,t +31873,99%,Uzbekistan,22.0,f +19003,,,2.0,t +45683,,,1.0,f +46999,,Russian Federation,1.0,f +50077,,,1.0,f +4441,,Bosnia and Herzegovina,2.0,f +6905,,Micronesia,2.0,f +1832,100%,,1.0,f +20168,,Malawi,1.0,t +49034,,,1.0,f +10943,,,1.0,t +16953,,,1.0,f +3177,100%,,1.0,f +19796,,Niue,1.0,f +18247,95%,Iran,80.0,t +47274,100%,Tonga,48.0,f +34725,100%,,1.0,f +5158,100%,,1.0,f +32731,,,1.0,f +35625,98%,Estonia,25.0,t +48213,,Guinea,1.0,f +24376,100%,Montserrat,1.0,f +18459,100%,Zimbabwe,100.0,f +35625,98%,Estonia,25.0,t +31290,,,1.0,f +35625,98%,Estonia,25.0,t +35625,98%,Estonia,25.0,t +34184,,,3.0,f +35625,98%,Estonia,25.0,t +27089,100%,,1.0,t +13334,100%,,1.0,f +14514,,China,80.0,t +30994,100%,,1.0,f +37029,100%,,1.0,f +41579,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +27792,100%,,2.0,f +11932,,Turkmenistan,1.0,t +40475,,Zimbabwe,3.0,t +25127,100%,United Kingdom,4.0,f +36015,,Maldives,1.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +1263,100%,,3.0,f +13276,90%,United Kingdom,5.0,t +1884,,El Salvador,1.0,f +24884,100%,,1.0,f +46773,,,1.0,f +41009,25%,,1.0,f +20754,,China,13.0,f +265,0%,,1.0,f +17308,100%,,2.0,t +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +40360,,,1.0,f +12583,100%,,1.0,f +5918,100%,,2.0,f +44439,100%,Marshall Islands,2.0,t +22231,100%,Guinea,2.0,f +3397,,China,2.0,f +6471,100%,Zimbabwe,1.0,t +21240,94%,Niger,130.0,f +45016,50%,,1.0,f +33401,100%,Gibraltar,1.0,t +42652,,,1.0,f +16397,100%,,2.0,f +18959,,,1.0,f +10013,,Marshall Islands,2.0,t +19214,100%,Senegal,55.0,f +25763,92%,Micronesia,4.0,f +17820,100%,Montserrat,8.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +38571,100%,,2.0,f +9802,,Indonesia,38.0,t +27774,78%,Vietnam,15.0,f +31664,,Mauritania,1.0,f +14158,,,1.0,f +35625,98%,Estonia,25.0,t +32902,,,1.0,f +9855,100%,,1.0,f +49477,100%,,2.0,f +39143,89%,,33.0,f +34042,100%,Marshall Islands,37.0,f +40203,,,1.0,f +33398,,Guinea,2.0,f +21070,,,1.0,f +35625,98%,Estonia,25.0,t +14405,100%,,1.0,f +39736,,,1.0,f +39143,89%,,33.0,f +12720,,Djibouti,1.0,t +34042,100%,Marshall Islands,37.0,f +5918,100%,,2.0,f +26300,,,1.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +21677,,,1.0,f +31202,90%,Kiribati,107.0,f +29978,89%,Uzbekistan,26.0,f +31202,90%,Kiribati,107.0,f +8084,100%,Russian Federation,1.0,f +19543,,Bosnia and Herzegovina,5.0,f +29632,,,1.0,f +2312,,,2.0,f +35379,100%,Tonga,4.0,f +31202,90%,Kiribati,107.0,f +39427,,Rwanda,1.0,f +30766,100%,,1.0,f +26164,,Marshall Islands,1.0,f +13484,,,1.0,f +22409,100%,,1.0,f +26887,,,2.0,f +22770,,Puerto Rico,1.0,f +1841,100%,,1.0,f +37079,,Malta,1.0,t +16349,,,1.0,f +8103,100%,Tonga,1.0,f +17145,100%,,1.0,t +25127,100%,United Kingdom,4.0,f +34701,100%,,3.0,f +36774,100%,Tonga,19.0,f +32006,100%,,1.0,f +30029,90%,El Salvador,8.0,f +8772,100%,Libyan Arab Jamahiriya,1.0,t +22406,,,2.0,f +28180,100%,Lebanon,1.0,f +1908,100%,Sao Tome and Principe,2.0,t +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +24473,,Costa Rica,17.0,f +24548,,,1.0,f +17500,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +19214,100%,Senegal,55.0,f +24473,,Costa Rica,17.0,f +41363,,,1.0,f +1746,50%,Puerto Rico,3.0,f +34434,100%,,1.0,f +47722,,,1.0,f +32203,100%,Barbados,176.0,f +26340,100%,Gibraltar,2.0,f +40793,100%,,75.0,t +4978,100%,Niue,2.0,t +26457,100%,Monaco,4.0,t +8578,100%,,1.0,f +13127,100%,Niger,22.0,f +557,100%,Zimbabwe,8.0,t +4978,100%,Niue,2.0,t +39276,100%,Estonia,3.0,f +35343,100%,Cape Verde,1.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +23995,100%,Maldives,1.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +14102,,,1.0,f +17969,100%,Russian Federation,1.0,f +49366,,Mauritania,1.0,f +32159,,Uzbekistan,1.0,f +16887,100%,China,11.0,f +17373,100%,,1.0,f +46739,,Togo,1.0,f +23991,90%,,1.0,f +36407,100%,Uganda,2.0,t +17322,95%,,30.0,f +17322,95%,,30.0,f +17322,95%,,30.0,f +24195,56%,Barbados,14.0,f +36407,100%,Uganda,2.0,t +48782,100%,Bosnia and Herzegovina,2.0,f +17322,95%,,30.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +19213,,Jersey,1.0,f +38384,,,1.0,f +339,100%,Slovakia (Slovak Republic),1.0,t +22962,100%,Kiribati,1.0,f +1586,,Jersey,2.0,f +1586,,Jersey,2.0,f +3448,100%,Russian Federation,2.0,t +22748,,,1.0,f +15335,,,1.0,f +35694,,,1.0,t +8595,100%,Lebanon,3.0,t +17909,100%,Kiribati,3.0,f +1408,78%,Uzbekistan,1.0,t +23418,100%,Kenya,1.0,t +45331,100%,,1.0,f +21572,100%,Gibraltar,2.0,t +28298,100%,Montserrat,1.0,f +6700,100%,Guinea,7.0,f +8943,,,1.0,f +31522,97%,Niger,5.0,t +14507,100%,Isle of Man,1.0,t +35911,,Mexico,1.0,f +23469,100%,Nicaragua,116.0,f +47168,100%,Netherlands,8.0,f +29205,,Togo,2.0,t +8224,98%,Estonia,12.0,f +34233,,Malta,1.0,f +17997,100%,,1.0,f +18484,100%,Gambia,108.0,f +8565,0%,Russian Federation,2.0,t +15176,,Vanuatu,10.0,f +32203,100%,Barbados,176.0,f +15176,,Vanuatu,10.0,f +37956,,Christmas Island,1.0,f +6014,,,1.0,f +2068,,,1.0,f +4846,100%,Isle of Man,1.0,f +31281,100%,Nauru,1.0,f +20159,100%,,1.0,f +47245,,Barbados,2.0,t +10976,100%,,1.0,t +14710,75%,,1.0,t +19499,,,1.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +35221,100%,Turks and Caicos Islands,30.0,t +17820,100%,Montserrat,8.0,f +19655,100%,Tonga,13.0,t +32693,,,1.0,f +4745,100%,Croatia,119.0,f +45071,,,1.0,t +47858,100%,Sao Tome and Principe,1.0,f +7775,100%,,1.0,f +4745,100%,Croatia,119.0,f +37441,100%,Vietnam,12.0,t +12067,100%,El Salvador,1.0,f +17123,100%,,2.0,f +37441,100%,Vietnam,12.0,t +11047,96%,Senegal,3.0,t +14059,100%,Uganda,9.0,f +46523,90%,Guinea,2.0,t +38423,100%,Niue,5.0,t +7869,100%,,1.0,t +40793,100%,,75.0,t +13662,,,1.0,t +8688,,Brazil,2.0,f +25425,100%,,1.0,t +40184,100%,,2.0,f +47673,,,1.0,t +26541,100%,Nicaragua,12.0,f +21532,,,1.0,f +33441,,Poland,2.0,f +35954,100%,,1.0,t +6700,100%,Guinea,7.0,f +13778,100%,Denmark,1.0,f +12611,,,1.0,f +11722,50%,Guinea,1.0,t +48560,100%,Barbados,3.0,f +21511,,,1.0,f +27691,100%,,1.0,f +21322,,Turkmenistan,1.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +45111,100%,Sao Tome and Principe,420.0,f +10868,0%,,1.0,t +11629,100%,,3.0,f +32203,100%,Barbados,176.0,f +5105,,Niue,1.0,f +48133,,Isle of Man,45.0,f +38767,67%,Holy See (Vatican City State),1.0,f +42304,,Estonia,1.0,f +43157,100%,Mauritania,4.0,f +6795,100%,,1.0,t +30285,60%,Micronesia,2.0,f +15499,100%,,1.0,f +16153,100%,France,3.0,f +18723,100%,,1.0,f +32846,,Benin,21.0,f +28889,,,1.0,f +1184,100%,Bahrain,2.0,f +32203,100%,Barbados,176.0,f +44985,,Malawi,1.0,t +31173,,Uzbekistan,1.0,t +48322,67%,Russian Federation,1.0,f +12918,100%,China,9.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +40855,,,1.0,f +19019,97%,Nicaragua,1484.0,f +36341,100%,,1.0,t +10491,,Guinea,2.0,t +21672,,Suriname,2.0,f +5921,,,1.0,f +25366,100%,Kiribati,2.0,f +45199,,Puerto Rico,6.0,f +32706,100%,,1.0,f +40635,,,1.0,f +29732,,,1.0,f +19019,97%,Nicaragua,1484.0,f +25127,100%,United Kingdom,4.0,f +3670,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +34667,100%,,2.0,f +3103,100%,Turks and Caicos Islands,4.0,f +47046,100%,Lebanon,9.0,f +21716,100%,El Salvador,1.0,t +13295,100%,Denmark,4.0,f +11720,,Finland,1.0,f +42780,100%,,2.0,t +2044,,,1.0,f +37999,100%,Senegal,20.0,t +12440,,,1.0,f +40503,100%,,1.0,t +36273,,,2.0,f +1937,100%,Mauritania,1.0,f +2147,,,2.0,t +40793,100%,,75.0,t +47435,,,2.0,f +36273,,,2.0,f +38039,80%,,2.0,t +4245,100%,Kiribati,1.0,f +45459,100%,Nicaragua,2.0,t +40467,,,1.0,f +50080,100%,Lithuania,3.0,f +46640,,,1.0,t +43496,100%,Montserrat,18.0,t +43874,,,1.0,f +4330,94%,Ukraine,60.0,t +36980,100%,Niue,3.0,t +25499,,,1.0,f +22919,100%,,2.0,t +44333,,,1.0,f +47685,,Grenada,1.0,t +41639,,El Salvador,1.0,f +25407,100%,Kiribati,1.0,f +22437,,,1.0,f +12542,98%,Mauritania,19.0,t +15158,,Faroe Islands,1.0,t +43892,,,1.0,f +11162,100%,,1.0,t +3121,95%,Zimbabwe,9.0,t +4485,95%,China,7.0,t +20100,100%,,1.0,t +18612,90%,,1.0,f +35301,90%,Micronesia,2.0,t +43101,100%,China,2.0,t +46911,,Holy See (Vatican City State),1.0,f +16054,100%,Lithuania,1.0,f +44836,,,1.0,t +47524,100%,,2.0,f +25934,100%,Estonia,7.0,f +36936,100%,,1.0,t +24592,,,1.0,f +23904,,Honduras,2.0,t +35832,,Lebanon,3.0,t +16399,,,1.0,f +14668,,Kenya,1.0,f +47524,100%,,2.0,f +49866,100%,France,1.0,f +15716,,Maldives,1.0,f +1908,100%,Sao Tome and Principe,2.0,t +31775,63%,,2.0,f +31775,63%,,2.0,f +34457,81%,,3.0,t +42012,100%,Monaco,3.0,t +49626,,Tanzania,2.0,t +18874,90%,Andorra,1.0,f +772,100%,,1.0,t +3900,100%,,1.0,f +5757,100%,Portugal,2.0,f +39965,100%,Tonga,3.0,t +26277,,Kiribati,1.0,f +2893,,,1.0,f +40144,100%,,1.0,f +39229,100%,Zimbabwe,2.0,f +41568,100%,Turks and Caicos Islands,1.0,f +10081,100%,Svalbard & Jan Mayen Islands,2.0,f +24671,,Ghana,10.0,f +45915,100%,Kiribati,1.0,f +14477,100%,Reunion,26.0,t +24691,,,1.0,f +16695,96%,Tonga,8.0,f +16695,96%,Tonga,8.0,f +9770,100%,Croatia,1.0,t +20606,100%,Congo,6.0,t +1983,,Guernsey,1.0,f +21643,,,1.0,f +49851,,Ukraine,1.0,f +4647,,Nauru,3.0,t +47274,100%,Tonga,48.0,f +42938,100%,,1.0,f +44364,80%,Estonia,1.0,f +28408,100%,Australia,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +16057,100%,,1.0,f +28819,92%,Montserrat,3.0,t +30786,,Uzbekistan,29.0,f +30461,,Mexico,1.0,t +5963,100%,,3.0,f +30260,100%,,3.0,f +34601,,Maldives,1.0,f +11604,100%,,1.0,f +18347,,,1.0,f +3271,,,1.0,t +27844,,,1.0,t +40114,,,1.0,f +36665,100%,Tunisia,2.0,f +12665,100%,Maldives,2.0,f +10034,100%,Lithuania,1.0,f +36549,,,1.0,f +28489,90%,Malta,5.0,t +2433,100%,Tonga,21.0,f +18069,100%,Turkmenistan,2.0,f +46015,93%,Nicaragua,3.0,f +12918,100%,China,9.0,f +46015,93%,Nicaragua,3.0,f +4886,100%,Philippines,2.0,f +11206,100%,Kenya,2.0,f +39602,100%,Gambia,2.0,t +29844,100%,,2.0,t +36626,,Croatia,1.0,f +10616,,,1.0,f +30636,100%,,1.0,f +44109,100%,United Kingdom,20.0,f +40685,,,1.0,f +36009,100%,,2.0,t +32297,,United Kingdom,1.0,f +24255,100%,Tanzania,1.0,f +19019,97%,Nicaragua,1484.0,f +3908,100%,Nauru,1.0,f +17712,100%,,1.0,f +36040,,Nicaragua,2.0,f +49103,80%,Rwanda,5.0,f +30681,,,1.0,f +41230,100%,Togo,2.0,f +3616,100%,Cape Verde,14.0,t +25119,,,1.0,f +38791,,,1.0,f +33899,100%,Tanzania,2.0,f +5950,100%,Lithuania,1.0,f +45394,100%,Marshall Islands,2.0,f +35347,100%,,2.0,t +32782,,Afghanistan,1.0,t +25837,,Estonia,1.0,f +18231,93%,Uganda,7.0,t +42225,100%,Marshall Islands,1.0,f +49950,100%,,1.0,f +44109,100%,United Kingdom,20.0,f +36309,,Isle of Man,1.0,f +44109,100%,United Kingdom,20.0,f +44109,100%,United Kingdom,20.0,f +12088,100%,Kiribati,8.0,f +39556,88%,,1.0,t +2341,100%,Bouvet Island (Bouvetoya),2.0,t +43667,,,4.0,t +2228,,Togo,1.0,f +18484,100%,Gambia,108.0,f +29205,,Togo,2.0,t +45475,100%,Montserrat,2.0,f +8079,,,1.0,f +551,95%,Rwanda,17.0,f +50068,,Marshall Islands,1.0,f +34306,91%,Wallis and Futuna,30.0,t +12568,100%,Barbados,2.0,f +23993,100%,Nicaragua,1.0,f +32203,100%,Barbados,176.0,f +3632,100%,Philippines,4.0,t +45199,,Puerto Rico,6.0,f +7028,100%,Fiji,4.0,t +20334,99%,Niger,171.0,t +12591,100%,Maldives,4.0,t +32614,100%,Guinea,2.0,f +35379,100%,Tonga,4.0,f +12443,,Turkmenistan,1.0,f +15462,,Ukraine,1.0,f +32203,100%,Barbados,176.0,f +37346,,,1.0,f +32203,100%,Barbados,176.0,f +24026,98%,Cape Verde,69.0,t +32203,100%,Barbados,176.0,f +1989,100%,Lebanon,1.0,f +48133,,Isle of Man,45.0,f +31388,96%,Guinea,1.0,f +10544,100%,France,2.0,f +37084,100%,Niue,1.0,f +9363,95%,Ukraine,50.0,f +31165,100%,,1.0,f +14515,,,1.0,f +23001,,,1.0,t +45038,100%,Lithuania,1.0,f +665,100%,Greenland,2.0,t +42158,100%,,15.0,f +8887,100%,Senegal,5.0,f +7839,100%,,2.0,f +37458,100%,,1.0,f +27861,,Sao Tome and Principe,2.0,f +33811,,,1.0,t +46099,98%,Uzbekistan,28.0,f +26101,100%,Tonga,1.0,t +9538,,Svalbard & Jan Mayen Islands,3.0,f +21935,,Peru,1.0,f +22733,100%,,1.0,t +414,100%,Uganda,17.0,t +39398,,Estonia,1.0,f +48469,100%,Puerto Rico,4.0,f +41224,100%,Mauritania,3.0,t +37731,,,1.0,f +28828,100%,Isle of Man,198.0,t +20263,99%,Maldives,35.0,t +16371,95%,Bouvet Island (Bouvetoya),29.0,f +49760,,Chad,1.0,t +35221,100%,Turks and Caicos Islands,30.0,t +15211,,Niue,1.0,f +14633,100%,United Kingdom,1.0,f +2593,,Gambia,1.0,t +356,99%,Wallis and Futuna,32.0,t +2433,100%,Tonga,21.0,f +37953,100%,Sao Tome and Principe,6.0,f +2433,100%,Tonga,21.0,f +16442,,Cuba,1.0,f +32629,100%,Maldives,3.0,f +11567,100%,Niger,31.0,t +42640,,,1.0,f +42158,100%,,15.0,f +7432,100%,Zimbabwe,2.0,f +42158,100%,,15.0,f +3389,100%,Estonia,13.0,f +19214,100%,Senegal,55.0,f +9221,25%,,1.0,f +4130,,Maldives,7.0,f +38768,,Tonga,1.0,t +6596,,Kenya,1.0,t +15242,,Grenada,1.0,f +26131,,,3.0,f +26131,,,3.0,f +4146,100%,Finland,1.0,f +19495,,Reunion,1.0,f +38196,100%,,1.0,f +18295,100%,Guinea,3.0,t +48693,,Lebanon,1.0,f +26616,100%,Isle of Man,10.0,f +24127,100%,Russian Federation,4.0,f +45390,,,1.0,f +222,89%,,16.0,f +222,89%,,16.0,f +222,89%,,16.0,f +222,89%,,16.0,f +222,89%,,16.0,f +15322,100%,Papua New Guinea,1.0,f +44809,100%,,1.0,f +45394,100%,Marshall Islands,2.0,f +44083,,Niue,1.0,f +50066,,El Salvador,1.0,f +40793,100%,,75.0,t +17184,100%,Svalbard & Jan Mayen Islands,3.0,t +27739,,Andorra,1.0,t +29169,100%,Libyan Arab Jamahiriya,1.0,f +47168,100%,Netherlands,8.0,f +19136,,,1.0,f +32409,100%,Cuba,1.0,f +14371,92%,Niue,1.0,f +18121,100%,Bouvet Island (Bouvetoya),8.0,f +4603,100%,Nicaragua,2.0,f +8330,100%,Mauritania,3.0,f +21400,100%,,2.0,t +10738,,,1.0,f +5641,,,1.0,f +16275,98%,Maldives,24.0,f +41362,100%,,1.0,f +35279,100%,Guinea,1.0,f +32203,100%,Barbados,176.0,f +16767,,Niue,2.0,t +40879,,Rwanda,3.0,f +31243,,Russian Federation,1.0,f +4863,,,2.0,t +32203,100%,Barbados,176.0,f +6543,100%,United Kingdom,3.0,t +43777,100%,Denmark,18.0,f +37865,,Mexico,1.0,f +47238,,Gambia,1.0,t +18291,,Sao Tome and Principe,1.0,f +7563,100%,Pakistan,3.0,f +41117,,Chad,2.0,t +40421,96%,Jersey,29.0,t +32203,100%,Barbados,176.0,f +6162,90%,Isle of Man,2.0,t +43412,,Switzerland,1.0,f +8283,,Lebanon,1.0,f +31245,,Maldives,1.0,f +3886,100%,Russian Federation,3.0,f +3831,100%,Reunion,3.0,t +12572,,Isle of Man,1.0,f +12181,,Tonga,4.0,f +3422,86%,Niger,6.0,f +32064,100%,Malawi,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +22311,100%,,1.0,t +5420,100%,Tonga,41.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +48117,98%,Ukraine,41.0,f +7197,100%,Niue,1.0,t +44151,,Cape Verde,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +34257,100%,Chad,1.0,t +45111,100%,Sao Tome and Principe,420.0,f +10210,,,1.0,f +44783,100%,Senegal,1.0,f +19846,90%,,1.0,t +23642,100%,Holy See (Vatican City State),5.0,f +4745,100%,Croatia,119.0,f +8236,100%,Mexico,2.0,f +38135,,Zimbabwe,1.0,f +24885,100%,Sao Tome and Principe,1.0,f +34363,100%,Estonia,1.0,f +47204,,,1.0,t +14059,100%,Uganda,9.0,f +34320,,Guinea,1.0,f +29186,100%,Jersey,1.0,f +42764,100%,Guernsey,13.0,t +20762,100%,Micronesia,1.0,f +2492,,Russian Federation,1.0,f +25795,,Lebanon,1.0,t +32676,100%,China,34.0,f +38468,100%,Sao Tome and Principe,2.0,f +30786,,Uzbekistan,29.0,f +5327,100%,Togo,5.0,t +25377,,Niue,1.0,f +26636,100%,Barbados,2.0,f +31623,100%,Isle of Man,1.0,f +26810,100%,,2.0,f +3104,43%,Marshall Islands,1.0,f +140,,,2.0,t +34135,100%,Isle of Man,1.0,f +42999,100%,Sao Tome and Principe,2.0,f +49055,,Zimbabwe,2.0,t +9363,95%,Ukraine,50.0,f +649,,,1.0,t +20540,,Netherlands,1.0,f +4945,0%,Cape Verde,5.0,f +8770,100%,El Salvador,3.0,f +32203,100%,Barbados,176.0,f +4945,0%,Cape Verde,5.0,f +1271,100%,Nicaragua,1.0,t +10711,93%,Uganda,108.0,t +32203,100%,Barbados,176.0,f +4945,0%,Cape Verde,5.0,f +6415,,Niue,1.0,f +3904,100%,Guinea,1.0,f +4945,0%,Cape Verde,5.0,f +18077,100%,Sao Tome and Principe,139.0,f +46044,50%,,1.0,f +17417,,Denmark,11.0,f +44141,90%,Zimbabwe,1.0,f +101,,Togo,1.0,f +45919,100%,Montserrat,9.0,t +348,,French Guiana,1.0,f +49446,,Kiribati,2.0,f +34070,90%,Estonia,1.0,f +49446,,Kiribati,2.0,f +37336,,,1.0,t +3229,100%,Bouvet Island (Bouvetoya),2.0,f +21930,100%,,1.0,f +605,100%,Svalbard & Jan Mayen Islands,1.0,f +46580,,Sao Tome and Principe,1.0,f +9239,100%,Cuba,17.0,f +46500,99%,Pakistan,73.0,f +43480,100%,Mexico,1.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +27139,,Kiribati,1.0,t +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +17030,100%,Croatia,5.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +13975,100%,Mexico,2.0,f +30423,,French Guiana,1.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +3918,,,1.0,f +46500,99%,Pakistan,73.0,f +36774,100%,Tonga,19.0,f +21307,100%,Estonia,1.0,f +38362,,,1.0,f +43332,,,1.0,f +46965,,,1.0,f +45664,,Mauritania,1.0,f +7331,99%,Indonesia,8.0,t +29509,100%,,1.0,f +37010,,Anguilla,1.0,f +48974,,,1.0,t +36643,98%,Maldives,17.0,f +27668,46%,Micronesia,3.0,f +27866,100%,Guinea,8.0,f +28411,100%,,1.0,f +47158,,,1.0,f +28828,100%,Isle of Man,198.0,t +9974,100%,Costa Rica,1.0,f +15942,100%,Isle of Man,1.0,f +18247,95%,Iran,80.0,t +13141,,Kenya,2.0,f +4601,,Micronesia,1.0,f +31066,,Somalia,1.0,t +40570,,Indonesia,1.0,f +47941,100%,,1.0,f +28319,100%,France,1.0,f +32234,,,1.0,f +10458,100%,,1.0,f +47846,100%,,1.0,f +49130,100%,Niue,1.0,t +43968,80%,Malawi,1.0,f +29726,67%,Denmark,1.0,f +47509,100%,French Guiana,1.0,t +6894,80%,Estonia,47.0,t +31212,,Malawi,1.0,t +28869,,Antarctica (the territory South of 60 deg S),172.0,f +3100,100%,Malta,1.0,f +8835,,Wallis and Futuna,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +19214,100%,Senegal,55.0,f +46129,100%,Costa Rica,2.0,t +19951,88%,Vanuatu,10.0,f +9832,100%,,2.0,f +16036,100%,Faroe Islands,1.0,f +7382,33%,,1.0,t +15704,100%,Anguilla,2.0,t +42866,,,1.0,t +44833,,Venezuela,1.0,f +32262,100%,Lebanon,1.0,f +44754,,Uzbekistan,1.0,f +35670,100%,Russian Federation,2.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +20372,,Niger,1.0,t +41415,,Lebanon,1.0,f +18340,100%,Gibraltar,1.0,f +28881,,Ghana,2.0,f +9252,,,2.0,f +24327,,Isle of Man,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +19194,,Vanuatu,7.0,f +21786,100%,,1.0,t +41144,100%,,1.0,f +17354,,Micronesia,1.0,f +10746,,,1.0,f +19951,88%,Vanuatu,10.0,f +32121,100%,Svalbard & Jan Mayen Islands,1.0,t +22056,,,1.0,f +18845,,Svalbard & Jan Mayen Islands,2.0,f +2401,100%,,2.0,t +14779,,Jersey,1.0,t +35459,100%,Cuba,2.0,t +48741,100%,Monaco,1.0,f +36809,40%,Niue,1.0,t +31443,,,1.0,f +38095,100%,Malawi,2.0,f +15689,96%,Micronesia,1.0,f +23142,,,1.0,f +22225,,Mauritania,1.0,f +48769,100%,Indonesia,4.0,t +37218,100%,Slovakia (Slovak Republic),4.0,t +11427,,Slovakia (Slovak Republic),4.0,t +48769,100%,Indonesia,4.0,t +30725,,,1.0,f +42054,100%,Guinea,2.0,f +8317,100%,Bosnia and Herzegovina,2.0,t +33208,,Micronesia,1.0,f +42284,100%,El Salvador,2.0,f +27131,,,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +23758,,Anguilla,2.0,f +12112,100%,Lithuania,1.0,f +24333,100%,Malta,1.0,f +22429,,United Kingdom,2.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +2766,100%,United Kingdom,4.0,f +46500,99%,Pakistan,73.0,f +14932,100%,Finland,1.0,t +46500,99%,Pakistan,73.0,f +18822,,Montserrat,1.0,f +49524,100%,,1.0,f +12653,,,1.0,f +45063,100%,Isle of Man,1.0,f +43152,100%,Nicaragua,82.0,t +2433,100%,Tonga,21.0,f +29238,,,1.0,f +32203,100%,Barbados,176.0,f +16887,100%,China,11.0,f +49776,100%,,1.0,t +36020,100%,Denmark,1.0,t +32730,100%,Svalbard & Jan Mayen Islands,1.0,f +19951,88%,Vanuatu,10.0,f +11736,,Lithuania,2.0,t +43152,100%,Nicaragua,82.0,t +4768,100%,Monaco,1.0,t +28506,,Marshall Islands,1.0,f +30440,,Denmark,1.0,f +2305,90%,,1.0,f +48133,,Isle of Man,45.0,f +35641,,Netherlands,15.0,t +14322,100%,Chile,1.0,f +46057,,Jersey,1.0,f +19811,90%,Nicaragua,21.0,t +32203,100%,Barbados,176.0,f +13975,100%,Mexico,2.0,f +19951,88%,Vanuatu,10.0,f +26929,100%,Croatia,2.0,f +22482,,Svalbard & Jan Mayen Islands,1.0,f +16150,,Denmark,1.0,f +47845,,Isle of Man,1.0,t +32203,100%,Barbados,176.0,f +32203,100%,Barbados,176.0,f +21228,90%,Russian Federation,1.0,f +42284,100%,El Salvador,2.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +36191,100%,Pakistan,1.0,f +31943,,Denmark,1.0,f +31071,,Mauritania,1.0,t +35436,99%,Nicaragua,21.0,f +2161,44%,Rwanda,8.0,f +24165,100%,Guinea,1.0,f +4926,,Saint Helena,1.0,f +2161,44%,Rwanda,8.0,f +48750,,,1.0,f +2161,44%,Rwanda,8.0,f +41788,100%,Turks and Caicos Islands,6.0,f +14002,100%,Monaco,1.0,f +31774,,Ecuador,1.0,t +27066,,,1.0,t +40406,75%,Vanuatu,1.0,f +38532,90%,,6.0,f +44109,100%,United Kingdom,20.0,f +26148,100%,Kiribati,10.0,t +41928,87%,Nicaragua,9.0,f +22972,100%,Isle of Man,1.0,t +4930,,,1.0,f +3314,100%,Slovakia (Slovak Republic),10.0,f +39570,75%,Libyan Arab Jamahiriya,2.0,t +32203,100%,Barbados,176.0,f +13613,,Russian Federation,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43152,100%,Nicaragua,82.0,t +32203,100%,Barbados,176.0,f +18484,100%,Gambia,108.0,f +37417,,Russian Federation,1.0,f +4745,100%,Croatia,119.0,f +11059,,Isle of Man,2.0,f +3314,100%,Slovakia (Slovak Republic),10.0,f +43380,50%,Rwanda,1.0,f +10042,,Indonesia,21.0,f +13318,100%,Gambia,2.0,t +17176,67%,Russian Federation,2.0,t +37550,100%,Canada,1.0,f +44533,100%,Afghanistan,5.0,f +24237,80%,Costa Rica,1.0,t +6542,100%,Bosnia and Herzegovina,1.0,f +15038,100%,Puerto Rico,1.0,f +18944,80%,Indonesia,2.0,f +27226,100%,Congo,10.0,f +36974,,Mauritania,1.0,f +43237,40%,Montserrat,24.0,f +12003,100%,Uganda,8.0,t +28496,100%,Nicaragua,38.0,f +13936,,Lebanon,2.0,t +41688,,,1.0,f +36451,100%,French Guiana,1.0,t +35155,90%,Svalbard & Jan Mayen Islands,2.0,t +42341,,Russian Federation,1.0,f +46389,,Gambia,1.0,f +891,100%,Chile,2.0,t +16448,86%,Palestinian Territory,1.0,f +28496,100%,Nicaragua,38.0,f +13105,100%,Anguilla,2.0,f +5969,100%,Nauru,1.0,f +28496,100%,Nicaragua,38.0,f +10042,,Indonesia,21.0,f +28071,100%,Cape Verde,4.0,t +2843,100%,Micronesia,1.0,f +10455,100%,,1.0,t +16241,100%,Greenland,2.0,f +29628,100%,Cocos (Keeling) Islands,1.0,f +23582,98%,Montserrat,17.0,f +28619,100%,Bosnia and Herzegovina,1.0,f +35436,99%,Nicaragua,21.0,f +8855,100%,Sao Tome and Principe,2.0,f +50032,100%,Uganda,2.0,t +30584,90%,,1.0,f +28045,100%,Malawi,2.0,f +14059,100%,Uganda,9.0,f +46343,90%,Niue,2.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +45239,,Russian Federation,1.0,f +5920,,Denmark,1.0,f +41889,96%,Uzbekistan,14.0,t +6307,100%,,2.0,f +31887,,Rwanda,2.0,f +27226,100%,Congo,10.0,f +27226,100%,Congo,10.0,f +33362,,Andorra,1.0,f +39143,89%,,33.0,f +27226,100%,Congo,10.0,f +6658,,Saint Helena,1.0,f +39109,77%,Ukraine,24.0,t +29844,100%,,2.0,t +37933,,Sao Tome and Principe,1.0,f +48919,,,1.0,f +12604,,Bosnia and Herzegovina,1.0,t +34466,100%,Guinea,1.0,f +32935,,Ghana,40.0,f +41493,100%,Gambia,5.0,f +12649,100%,Kenya,1.0,f +39143,89%,,33.0,f +15099,,,1.0,f +11017,100%,Malawi,2.0,t +12181,,Tonga,4.0,f +40554,100%,Brunei Darussalam,1.0,f +39412,0%,Reunion,3.0,f +2597,100%,Nicaragua,13.0,t +38410,,,1.0,t +46008,100%,Turks and Caicos Islands,1.0,f +39143,89%,,33.0,f +20336,,Sao Tome and Principe,2.0,f +41687,,Lebanon,2.0,f +541,93%,Marshall Islands,17.0,f +38287,,Bosnia and Herzegovina,1.0,f +29986,100%,Nicaragua,1.0,f +26447,100%,Russian Federation,1.0,f +31751,100%,Nicaragua,29.0,f +4609,,Denmark,1.0,t +1500,,Puerto Rico,1.0,f +17541,100%,Niue,2.0,f +35436,99%,Nicaragua,21.0,f +31751,100%,Nicaragua,29.0,f +19019,97%,Nicaragua,1484.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +35436,99%,Nicaragua,21.0,f +35436,99%,Nicaragua,21.0,f +35436,99%,Nicaragua,21.0,f +31508,100%,Malawi,1.0,t +9363,95%,Ukraine,50.0,f +36560,100%,Libyan Arab Jamahiriya,1.0,t +23845,100%,,1.0,f +3827,,,1.0,t +29147,100%,Slovakia (Slovak Republic),2.0,f +20487,,Holy See (Vatican City State),1.0,t +12729,100%,Maldives,6.0,t +27510,,Kenya,1.0,t +24796,,Kenya,2.0,t +302,100%,Tunisia,20.0,f +3019,100%,Barbados,18.0,f +6316,0%,Palestinian Territory,1.0,f +32432,,Turks and Caicos Islands,4.0,f +22642,100%,,1.0,f +38416,,,1.0,f +40993,100%,Montserrat,15.0,f +31059,,,1.0,t +39143,89%,,33.0,f +36948,100%,Russian Federation,1.0,f +39143,89%,,33.0,f +17392,,Andorra,1.0,f +797,100%,,1.0,f +44851,,Lebanon,1.0,f +26826,100%,Brazil,1.0,f +20334,99%,Niger,171.0,t +13956,,Niue,2.0,t +49343,,Monaco,1.0,t +46289,100%,Bouvet Island (Bouvetoya),5.0,f +2070,,Anguilla,1.0,t +31699,60%,,1.0,t +562,100%,Nicaragua,1.0,f +14745,,Niue,1.0,t +32038,100%,Indonesia,35.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20789,98%,Sao Tome and Principe,13.0,f +38554,100%,,1.0,f +40895,,French Guiana,1.0,f +10116,100%,Denmark,2.0,t +25614,,Ghana,5.0,f +34340,100%,Finland,1.0,f +24195,56%,Barbados,14.0,f +25460,100%,Maldives,13.0,f +25460,100%,Maldives,13.0,f +9222,100%,Brazil,18.0,t +25460,100%,Maldives,13.0,f +36025,100%,Djibouti,6.0,t +4001,,France,1.0,f +17871,,Guinea,1.0,f +20314,100%,El Salvador,1.0,f +9849,100%,Isle of Man,2.0,f +42358,100%,Svalbard & Jan Mayen Islands,3.0,f +10073,,Guinea,1.0,f +10116,100%,Denmark,2.0,t +9255,,Vietnam,10.0,f +41080,89%,Tonga,10.0,t +34269,78%,Niue,2.0,t +43659,98%,Maldives,14.0,f +43264,100%,Niue,3.0,t +10484,100%,Guinea,12.0,t +27983,100%,,1.0,f +10987,,Russian Federation,2.0,t +21040,,,1.0,f +19019,97%,Nicaragua,1484.0,f +11464,100%,Papua New Guinea,11.0,f +46343,90%,Niue,2.0,f +686,97%,Micronesia,7.0,t +7811,100%,French Guiana,3.0,t +13388,100%,Brazil,5.0,f +310,96%,Cape Verde,3.0,t +29410,89%,Niger,1.0,f +3447,,Finland,3.0,t +27227,100%,Isle of Man,2.0,t +42836,100%,Denmark,1.0,f +48670,100%,Gambia,2.0,f +9573,100%,Canada,2.0,t +22331,99%,Rwanda,50.0,t +12172,,Djibouti,1.0,t +10575,100%,Bouvet Island (Bouvetoya),3.0,t +7682,100%,Micronesia,2.0,f +34084,100%,Gibraltar,1.0,f +1637,,Uzbekistan,1.0,f +39639,100%,Niue,19.0,f +26674,77%,Uzbekistan,27.0,f +26839,100%,Tonga,1.0,f +6111,,,1.0,f +2433,100%,Tonga,21.0,f +13421,100%,Marshall Islands,1.0,t +16887,100%,China,11.0,f +19150,100%,Brazil,1.0,f +2640,100%,French Guiana,1.0,t +26674,77%,Uzbekistan,27.0,f +12301,,,1.0,f +26674,77%,Uzbekistan,27.0,f +24504,,Uganda,1.0,t +28496,100%,Nicaragua,38.0,f +26674,77%,Uzbekistan,27.0,f +6206,0%,Greenland,1.0,f +4745,100%,Croatia,119.0,f +3701,100%,,1.0,f +4745,100%,Croatia,119.0,f +28496,100%,Nicaragua,38.0,f +4745,100%,Croatia,119.0,f +46427,81%,Sao Tome and Principe,4.0,t +26852,100%,Canada,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +43908,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +48309,,Niue,2.0,f +12051,,Tonga,1.0,f +26674,77%,Uzbekistan,27.0,f +10808,100%,Micronesia,1.0,f +26674,77%,Uzbekistan,27.0,f +36889,87%,Micronesia,6.0,f +36722,100%,Philippines,17.0,f +6321,100%,Zimbabwe,3.0,f +48942,100%,Uganda,1.0,f +13478,,,1.0,t +36722,100%,Philippines,17.0,f +9747,,Togo,1.0,f +38981,,Faroe Islands,1.0,t +3316,,,2.0,f +48338,100%,Maldives,4.0,t +13560,100%,,1.0,f +46918,100%,Sao Tome and Principe,5.0,f +13719,100%,Denmark,1.0,f +16307,100%,,2.0,f +29967,94%,Reunion,5.0,f +19019,97%,Nicaragua,1484.0,f +42644,100%,Uganda,3.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +37041,90%,Jersey,2.0,f +25493,100%,Turks and Caicos Islands,1.0,f +5671,0%,Russian Federation,2.0,f +27152,100%,Kenya,4.0,f +47799,,,1.0,f +36722,100%,Philippines,17.0,f +39342,100%,Micronesia,3.0,f +36889,87%,Micronesia,6.0,f +21483,100%,,1.0,f +39483,,,1.0,f +28008,,Chad,1.0,f +36722,100%,Philippines,17.0,f +29298,75%,Cape Verde,2.0,f +27774,78%,Vietnam,15.0,f +4745,100%,Croatia,119.0,f +2743,97%,China,23.0,f +5082,100%,,1.0,f +36722,100%,Philippines,17.0,f +41305,100%,Togo,2.0,f +24546,50%,Zimbabwe,2.0,f +19958,100%,Congo,40.0,t +38423,100%,Niue,5.0,t +3000,100%,,1.0,f +35991,100%,Sao Tome and Principe,1.0,f +12181,,Tonga,4.0,f +34710,100%,Netherlands,1.0,f +29334,,Togo,1.0,f +12181,,Tonga,4.0,f +36722,100%,Philippines,17.0,f +44316,98%,Uganda,6.0,t +19263,,Guinea,1.0,t +8660,100%,,2.0,f +1184,100%,Bahrain,2.0,f +34499,100%,,2.0,f +22245,,Micronesia,1.0,t +28444,,Chad,1.0,t +12997,,,1.0,f +22728,75%,,2.0,f +10452,,Zimbabwe,1.0,f +10930,100%,Chad,2.0,f +32454,100%,Jersey,1.0,t +40946,100%,,1.0,t +43504,,Chad,1.0,f +37270,100%,Cuba,2.0,f +1139,100%,Nicaragua,2.0,f +49541,100%,French Guiana,6.0,f +2036,100%,Slovakia (Slovak Republic),3.0,f +19958,100%,Congo,40.0,t +11973,100%,Niue,7.0,t +31828,100%,Isle of Man,2.0,t +10484,100%,Guinea,12.0,t +31315,,Anguilla,1.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +31594,100%,Philippines,19.0,t +10377,100%,Niue,1.0,f +42409,100%,Lebanon,2.0,f +37227,100%,Micronesia,1.0,t +41223,100%,Indonesia,3.0,f +41271,100%,,2.0,t +35608,67%,,1.0,f +21201,,Vanuatu,2.0,f +30074,,Uzbekistan,1.0,f +2103,100%,,2.0,t +41223,100%,Indonesia,3.0,f +2103,100%,,2.0,t +46239,100%,,1.0,f +41223,100%,Indonesia,3.0,f +4209,,,1.0,t +20336,,Sao Tome and Principe,2.0,f +19958,100%,Congo,40.0,t +22623,,Estonia,1.0,t +40172,100%,Kiribati,2.0,f +754,0%,United Kingdom,1.0,f +30540,100%,Denmark,1.0,f +19194,,Vanuatu,7.0,f +17483,90%,Vanuatu,1.0,f +19194,,Vanuatu,7.0,f +36284,100%,Marshall Islands,1.0,f +22429,,United Kingdom,2.0,f +19194,,Vanuatu,7.0,f +19194,,Vanuatu,7.0,f +19194,,Vanuatu,7.0,f +19194,,Vanuatu,7.0,f +23830,,Gambia,1.0,f +14714,100%,,3.0,t +18084,100%,,1.0,t +43220,100%,Korea,1.0,t +46062,,,3.0,f +42499,0%,Vanuatu,1.0,f +19958,100%,Congo,40.0,t +30133,,,1.0,t +29400,,Sao Tome and Principe,1.0,f +41811,100%,Niue,1.0,f +34045,,,1.0,f +13124,,Gambia,1.0,f +37007,100%,Guernsey,2.0,f +21695,0%,Grenada,1.0,f +8411,,,1.0,t +15344,100%,Svalbard & Jan Mayen Islands,1.0,f +45305,,,1.0,t +28964,,Russian Federation,2.0,f +25127,100%,United Kingdom,4.0,f +6478,,Niue,1.0,f +45418,,,1.0,f +31339,,,3.0,t +3509,,Tanzania,1.0,t +38461,0%,Vanuatu,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +26030,,,1.0,f +49801,80%,Costa Rica,1.0,f +19019,97%,Nicaragua,1484.0,f +19951,88%,Vanuatu,10.0,f +6406,100%,Marshall Islands,2.0,f +25256,100%,Zimbabwe,1.0,f +24854,100%,,1.0,f +49581,,,1.0,f +40591,100%,Reunion,1.0,t +47639,100%,France,2.0,f +2729,100%,United Kingdom,1.0,f +13788,75%,Uzbekistan,3.0,f +31270,100%,Guinea,2.0,f +47961,,Mauritania,1.0,t +19165,20%,Bosnia and Herzegovina,3.0,t +5119,100%,Guinea,1.0,f +43987,100%,Russian Federation,2.0,f +7167,50%,France,1.0,f +34392,,,1.0,f +31849,100%,Barbados,2.0,f +25491,100%,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43259,0%,,1.0,f +23135,,Estonia,1.0,f +14730,100%,Ecuador,1.0,f +26913,,Niue,1.0,t +32203,100%,Barbados,176.0,f +2743,97%,China,23.0,f +13708,,,1.0,t +28340,100%,Chad,1.0,t +21219,100%,Kenya,1.0,f +35015,100%,Senegal,4.0,t +32038,100%,Indonesia,35.0,f +32203,100%,Barbados,176.0,f +22674,100%,,3.0,f +32203,100%,Barbados,176.0,f +8786,,Netherlands,2.0,f +2945,,Russian Federation,1.0,f +924,70%,Tonga,6.0,f +41107,100%,Marshall Islands,6.0,f +2433,100%,Tonga,21.0,f +29777,100%,Uzbekistan,2.0,f +2743,97%,China,23.0,f +33853,80%,Jersey,2.0,f +8224,98%,Estonia,12.0,f +24559,100%,Somalia,1.0,t +4340,,Bouvet Island (Bouvetoya),1.0,f +15741,100%,Cuba,14.0,f +31951,,Ghana,1.0,f +6004,90%,Micronesia,4.0,f +20120,100%,Wallis and Futuna,10.0,f +15741,100%,Cuba,14.0,f +9362,100%,Turkmenistan,1.0,t +15741,100%,Cuba,14.0,f +15741,100%,Cuba,14.0,f +3466,,Monaco,1.0,f +48991,76%,Bosnia and Herzegovina,7.0,t +9708,,Lebanon,2.0,t +20983,,,1.0,f +40618,,,1.0,f +20120,100%,Wallis and Futuna,10.0,f +4121,100%,Denmark,1.0,f +17196,,Guinea,1.0,f +18320,50%,Reunion,19.0,t +7693,,Guinea,1.0,f +15272,100%,,2.0,t +14691,,Greenland,1.0,f +46056,,Estonia,3.0,f +22580,,Ghana,1.0,f +26882,,Pakistan,1.0,f +28862,100%,Philippines,2.0,f +8870,100%,Svalbard & Jan Mayen Islands,3.0,f +19019,97%,Nicaragua,1484.0,f +35116,100%,,1.0,t +32762,100%,,1.0,t +36586,,,1.0,f +36774,100%,Tonga,19.0,f +20518,100%,Togo,4.0,t +8292,100%,Nauru,1.0,f +19724,80%,Malta,4.0,t +44408,100%,Peru,3.0,f +32242,,Uganda,1.0,f +10490,100%,Sao Tome and Principe,4.0,f +20799,,,1.0,t +25800,100%,Tonga,1.0,t +32438,100%,Brazil,1.0,f +17030,100%,Croatia,5.0,f +9239,100%,Cuba,17.0,f +43554,100%,Uganda,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +6838,96%,Spain,59.0,t +26338,100%,Barbados,6.0,f +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +32038,100%,Indonesia,35.0,f +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +6838,96%,Spain,59.0,t +11963,100%,Croatia,2.0,f +44121,100%,Nicaragua,5.0,f +45775,,Nicaragua,1.0,f +18459,100%,Zimbabwe,100.0,f +7849,0%,Costa Rica,1.0,f +5413,100%,France,3.0,t +46439,100%,Rwanda,5.0,f +46439,100%,Rwanda,5.0,f +38619,,,1.0,f +1685,90%,Niue,2.0,f +24710,,Peru,1.0,f +10743,,,2.0,f +33372,100%,Guinea,22.0,t +33372,100%,Guinea,22.0,t +33372,100%,Guinea,22.0,t +33372,100%,Guinea,22.0,t +33372,100%,Guinea,22.0,t +19019,97%,Nicaragua,1484.0,f +38272,100%,,1.0,f +34540,100%,Rwanda,2.0,f +44395,,Maldives,1.0,t +48122,60%,,3.0,f +33104,,,2.0,t +20933,100%,,1.0,t +21933,90%,Niue,2.0,t +8251,,Holy See (Vatican City State),1.0,t +28964,,Russian Federation,2.0,f +9845,,,1.0,t +39372,,,1.0,f +43659,98%,Maldives,14.0,f +18320,50%,Reunion,19.0,t +28160,,Russian Federation,1.0,f +39222,67%,Bouvet Island (Bouvetoya),3.0,f +26992,100%,Netherlands,3.0,t +28862,100%,Philippines,2.0,f +48861,100%,Christmas Island,1.0,t +3167,100%,Micronesia,3.0,f +43772,50%,Mexico,12.0,t +579,0%,Anguilla,1.0,f +27488,,Pakistan,1.0,f +5140,100%,Lebanon,3.0,t +6495,89%,Tonga,34.0,f +652,90%,Barbados,1.0,f +6495,89%,Tonga,34.0,f +40538,,,1.0,f +6495,89%,Tonga,34.0,f +2813,,Malta,2.0,f +11846,50%,,1.0,f +1320,90%,Jersey,1.0,f +43865,33%,Russian Federation,2.0,f +25146,100%,Sao Tome and Principe,4.0,f +27822,100%,Russian Federation,2.0,f +42503,100%,Indonesia,1.0,f +3260,100%,,1.0,f +15231,100%,United Kingdom,5.0,f +7916,100%,French Guiana,1.0,t +25146,100%,Sao Tome and Principe,4.0,f +35912,100%,Sao Tome and Principe,1.0,f +13643,100%,Vietnam,1.0,f +46906,100%,,1.0,t +43316,100%,Indonesia,23.0,f +35193,100%,Kiribati,1.0,f +4788,,Tonga,7.0,f +4217,,Kenya,52.0,f +47049,100%,Zimbabwe,1.0,f +47896,100%,French Guiana,1.0,t +8855,100%,Sao Tome and Principe,2.0,f +49170,100%,Guinea,1.0,f +23883,,Russian Federation,1.0,f +9278,100%,Netherlands,10.0,f +4217,,Kenya,52.0,f +20359,,,1.0,f +39651,100%,Denmark,1.0,f +10711,93%,Uganda,108.0,t +42260,100%,Tanzania,1.0,f +23052,,,1.0,t +1485,100%,Chad,2.0,t +35641,,Netherlands,15.0,t +19019,97%,Nicaragua,1484.0,f +2337,100%,Kiribati,1.0,f +28219,,Sao Tome and Principe,1.0,t +19019,97%,Nicaragua,1484.0,f +38192,,Denmark,1.0,t +8297,,Denmark,1.0,f +15950,100%,Niue,2.0,f +4358,100%,Ecuador,2.0,t +1096,,Anguilla,2.0,t +5140,100%,Lebanon,3.0,t +10750,,,1.0,t +15664,100%,,3.0,f +28152,80%,Svalbard & Jan Mayen Islands,2.0,f +32935,,Ghana,40.0,f +46056,,Estonia,3.0,f +31751,100%,Nicaragua,29.0,f +31751,100%,Nicaragua,29.0,f +5356,,Uzbekistan,1.0,t +31751,100%,Nicaragua,29.0,f +39140,100%,Niue,1.0,t +46672,,Isle of Man,2.0,f +6801,100%,Kiribati,2.0,f +31751,100%,Nicaragua,29.0,f +9345,100%,Bosnia and Herzegovina,4.0,f +8091,97%,Cuba,10.0,f +37680,100%,Ecuador,1.0,f +43316,100%,Indonesia,23.0,f +13014,,China,6.0,f +38041,75%,,2.0,t +30320,100%,Togo,4.0,f +26457,100%,Monaco,4.0,t +36722,100%,Philippines,17.0,f +21230,100%,Lithuania,1.0,f +28828,100%,Isle of Man,198.0,t +48592,63%,Isle of Man,3.0,f +34083,100%,French Guiana,1.0,f +26457,100%,Monaco,4.0,t +22730,100%,Niue,1.0,f +9239,100%,Cuba,17.0,f +30320,100%,Togo,4.0,f +10042,,Indonesia,21.0,f +43738,100%,Zimbabwe,1.0,f +9239,100%,Cuba,17.0,f +48117,98%,Ukraine,41.0,f +9768,,,3.0,f +32841,100%,Venezuela,1.0,f +414,100%,Uganda,17.0,t +35874,100%,Finland,1.0,f +279,100%,,2.0,t +23211,,Turks and Caicos Islands,3.0,t +31092,,Senegal,19.0,f +43316,100%,Indonesia,23.0,f +46782,,Niue,1.0,f +4859,,Bosnia and Herzegovina,1.0,t +26428,100%,Svalbard & Jan Mayen Islands,1.0,f +25074,,,1.0,f +25374,100%,Tonga,8.0,f +2161,44%,Rwanda,8.0,f +47577,,Niger,1.0,f +38674,100%,,1.0,f +40830,100%,Kenya,1.0,t +36722,100%,Philippines,17.0,f +7682,100%,Micronesia,2.0,f +42948,100%,Brazil,1.0,f +19160,,Lebanon,1.0,f +19607,,,1.0,f +19153,100%,Holy See (Vatican City State),1.0,f +7820,100%,,1.0,f +45484,,Chile,3.0,f +47267,,Denmark,1.0,f +21335,100%,,2.0,t +15458,100%,,2.0,f +26131,,,3.0,f +37819,100%,,1.0,f +38335,79%,Guinea,11.0,f +13515,100%,,3.0,t +11077,0%,French Guiana,1.0,f +6984,100%,Suriname,9.0,f +2603,96%,Uzbekistan,7.0,f +38711,,Russian Federation,1.0,f +40646,100%,Turks and Caicos Islands,2.0,t +16714,,Marshall Islands,1.0,f +33831,100%,Faroe Islands,2.0,f +47274,100%,Tonga,48.0,f +11814,100%,Micronesia,7.0,t +34809,100%,Vietnam,2.0,t +13487,,Niue,1.0,f +26350,100%,France,1.0,t +12488,,China,2.0,f +9758,100%,Guinea,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +27673,80%,Russian Federation,1.0,f +21240,94%,Niger,130.0,f +20153,96%,Reunion,51.0,f +18278,100%,Uganda,1.0,f +32364,,Bahrain,1.0,f +33332,100%,Puerto Rico,1.0,t +50035,100%,Tonga,1.0,f +48420,,,1.0,t +37173,,Niue,1.0,f +9533,,Senegal,16.0,t +24026,98%,Cape Verde,69.0,t +17590,100%,Montserrat,1.0,f +49910,100%,,1.0,t +44413,100%,Gambia,1.0,t +23106,100%,,3.0,f +12016,100%,,1.0,f +277,100%,,2.0,f +48117,98%,Ukraine,41.0,f +13629,67%,Cape Verde,6.0,f +44053,,Faroe Islands,1.0,f +45883,100%,,1.0,t +32551,100%,Guinea,1.0,f +25641,100%,Kenya,1.0,f +7059,100%,,1.0,f +15020,100%,Denmark,1.0,f +13311,,Mauritania,1.0,t +1564,100%,Indonesia,12.0,f +36773,95%,Venezuela,4.0,t +27088,100%,France,1.0,f +45215,100%,Niue,1.0,f +3164,,United Kingdom,1.0,t +22309,100%,Turkmenistan,1.0,f +26895,50%,Gambia,1.0,f +21670,100%,Mauritania,1.0,f +222,89%,,16.0,f +43702,100%,Papua New Guinea,1.0,t +39570,75%,Libyan Arab Jamahiriya,2.0,t +13451,100%,,3.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +18247,95%,Iran,80.0,t +38123,100%,Sao Tome and Principe,1.0,f +46059,100%,Venezuela,1.0,f +13952,100%,,1.0,t +43540,72%,Bosnia and Herzegovina,25.0,f +16535,100%,,3.0,f +13300,100%,Russian Federation,1.0,f +4451,,,1.0,t +43230,100%,Chad,1.0,t +1946,75%,,1.0,f +44492,100%,,2.0,f +2308,63%,Micronesia,1.0,t +4130,,Maldives,7.0,f +36091,80%,Anguilla,2.0,t +17394,0%,Nicaragua,49.0,f +14705,,Puerto Rico,1.0,f +12838,100%,,2.0,f +1818,40%,,1.0,f +12838,100%,,2.0,f +45997,0%,United Kingdom,1.0,f +15917,98%,,3.0,f +23451,100%,Niger,3.0,f +40172,100%,Kiribati,2.0,f +15917,98%,,3.0,f +21646,100%,Togo,2.0,f +46897,,Kiribati,1.0,f +7804,100%,Russian Federation,3.0,f +14082,100%,Nicaragua,3.0,t +48501,,,1.0,t +40427,100%,,1.0,t +22434,,Lebanon,1.0,f +47958,80%,Niue,1.0,f +5391,,Russian Federation,1.0,f +48524,,Cape Verde,1.0,f +36498,100%,,1.0,f +45935,,Jersey,1.0,f +30774,,Kiribati,1.0,t +17689,,United Kingdom,2.0,f +29141,100%,Togo,3.0,t +42021,,Gambia,2.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +29480,100%,French Polynesia,6.0,f +22148,,Denmark,1.0,f +42521,100%,Uzbekistan,3.0,f +25140,100%,Togo,3.0,f +43836,,,1.0,f +234,,,1.0,f +42521,100%,Uzbekistan,3.0,f +13641,85%,Mauritania,23.0,f +18066,100%,Russian Federation,2.0,t +31021,100%,,1.0,f +24154,100%,,2.0,f +26735,100%,,1.0,f +25124,100%,Kiribati,3.0,f +25124,100%,Kiribati,3.0,f +25124,100%,Kiribati,3.0,f +12710,100%,Philippines,1.0,t +18277,,Bosnia and Herzegovina,1.0,f +21438,100%,China,3.0,f +36748,,Ghana,3.0,f +45484,,Chile,3.0,f +39925,100%,Kenya,1.0,f +44451,33%,,1.0,f +31649,40%,Mauritania,1.0,t +20703,100%,,1.0,f +17303,100%,Russian Federation,5.0,t +14143,100%,Marshall Islands,1.0,f +13364,91%,Netherlands,21.0,f +17303,100%,Russian Federation,5.0,t +23320,,Togo,2.0,f +47,100%,Russian Federation,2.0,f +19680,100%,Faroe Islands,1.0,f +43124,100%,Brazil,1.0,f +9538,,Svalbard & Jan Mayen Islands,3.0,f +30316,100%,Lebanon,2.0,f +14514,,China,80.0,t +24028,,,1.0,f +37875,100%,Brazil,2.0,t +19914,,,2.0,f +46015,93%,Nicaragua,3.0,f +38114,94%,Uzbekistan,19.0,f +42753,,Bosnia and Herzegovina,1.0,t +44235,100%,France,1.0,t +29865,100%,Papua New Guinea,1.0,t +5041,100%,Chile,7.0,f +936,,Gibraltar,1.0,f +32935,,Ghana,40.0,f +1873,100%,,2.0,t +25177,100%,Costa Rica,2.0,t +36054,,French Guiana,3.0,t +18182,67%,,1.0,f +13070,100%,Fiji,45.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +17049,100%,Gambia,1.0,t +23654,100%,Uzbekistan,23.0,f +36863,,Pakistan,1.0,t +22473,100%,Turkmenistan,8.0,f +31272,,Kenya,1.0,f +4845,50%,,1.0,f +39867,100%,Jersey,1.0,t +20913,100%,Niue,2.0,t +46936,100%,Papua New Guinea,1.0,f +26086,,Senegal,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +12918,100%,China,9.0,f +18459,100%,Zimbabwe,100.0,f +6720,100%,Micronesia,2.0,f +43868,,Tonga,1.0,t +18459,100%,Zimbabwe,100.0,f +19019,97%,Nicaragua,1484.0,f +29106,,Niue,2.0,t +19019,97%,Nicaragua,1484.0,f +49329,,,1.0,f +33565,100%,,1.0,t +46850,,,5.0,f +46850,,,5.0,f +46850,,,5.0,f +19019,97%,Nicaragua,1484.0,f +20521,,,7.0,t +42254,,Kenya,1.0,t +46850,,,5.0,f +46850,,,5.0,f +15047,83%,El Salvador,2.0,f +8262,100%,Mauritania,6.0,f +21009,100%,,2.0,f +8196,100%,,1.0,t +30613,,Denmark,1.0,t +37926,67%,China,2.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +47035,100%,,3.0,t +15843,100%,Slovakia (Slovak Republic),18.0,f +21980,100%,Sao Tome and Principe,5.0,t +28496,100%,Nicaragua,38.0,f +20334,99%,Niger,171.0,t +3389,100%,Estonia,13.0,f +45766,,,2.0,t +15182,100%,,1.0,t +46776,,Sao Tome and Principe,1.0,f +36603,100%,United Kingdom,1.0,f +13014,,China,6.0,f +27235,,Estonia,1.0,f +38458,100%,Montserrat,6.0,t +38701,40%,Niger,27.0,f +39062,100%,San Marino,1.0,f +23320,,Togo,2.0,f +18342,,Denmark,1.0,f +29958,,Kiribati,2.0,f +10042,,Indonesia,21.0,f +22942,100%,Jersey,1.0,f +7213,,Isle of Man,1.0,f +13014,,China,6.0,f +28496,100%,Nicaragua,38.0,f +38701,40%,Niger,27.0,f +13014,,China,6.0,f +38701,40%,Niger,27.0,f +27226,100%,Congo,10.0,f +23745,100%,,1.0,t +38987,,Jersey,1.0,f +20131,100%,Gambia,1.0,f +9363,95%,Ukraine,50.0,f +13014,,China,6.0,f +9791,80%,Rwanda,2.0,t +19214,100%,Senegal,55.0,f +24707,,,1.0,f +13097,100%,Uganda,4.0,t +19922,,Bouvet Island (Bouvetoya),1.0,t +17393,,Guernsey,1.0,f +5498,33%,Brazil,1.0,f +24980,67%,,5.0,f +24980,67%,,5.0,f +24980,67%,,5.0,f +24980,67%,,5.0,f +38792,,,1.0,f +41181,100%,Rwanda,2.0,f +2313,100%,,1.0,f +47445,,Peru,1.0,f +24026,98%,Cape Verde,69.0,t +18459,100%,Zimbabwe,100.0,f +4767,,Faroe Islands,1.0,t +32935,,Ghana,40.0,f +38255,25%,Hong Kong,4.0,t +27164,100%,Brazil,2.0,f +18459,100%,Zimbabwe,100.0,f +13127,100%,Niger,22.0,f +13127,100%,Niger,22.0,f +33258,,Peru,1.0,f +13127,100%,Niger,22.0,f +29043,100%,,1.0,f +36540,100%,,33.0,t +33426,100%,Estonia,2.0,f +23023,,Jersey,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +22058,100%,,3.0,f +9761,,Gambia,2.0,f +19019,97%,Nicaragua,1484.0,f +27642,,Denmark,1.0,f +18393,100%,Canada,2.0,t +21009,100%,,2.0,f +38423,100%,Niue,5.0,t +19019,97%,Nicaragua,1484.0,f +35945,90%,,2.0,f +29848,80%,Switzerland,1.0,f +30097,90%,Tunisia,2.0,f +37012,100%,Monaco,3.0,t +15347,33%,,1.0,f +24198,25%,French Guiana,4.0,f +9921,100%,El Salvador,1.0,f +1485,100%,Chad,2.0,t +31826,100%,Guinea,3.0,f +21583,,,1.0,f +10042,,Indonesia,21.0,f +36926,100%,Micronesia,2.0,f +44118,100%,,1.0,t +32935,,Ghana,40.0,f +43151,97%,Tonga,5.0,t +48133,,Isle of Man,45.0,f +6329,100%,Tonga,1.0,t +41249,20%,Niue,3.0,t +32221,100%,United Kingdom,1.0,t +20263,99%,Maldives,35.0,t +26338,100%,Barbados,6.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +23625,,Jersey,1.0,t +23654,100%,Uzbekistan,23.0,f +10284,100%,Tanzania,3.0,f +23716,100%,Turkmenistan,2.0,f +4745,100%,Croatia,119.0,f +22953,100%,,3.0,f +4745,100%,Croatia,119.0,f +46517,100%,Uzbekistan,2.0,f +46120,100%,Poland,4.0,t +24896,100%,Algeria,50.0,t +38096,100%,Kiribati,1.0,f +27646,100%,Isle of Man,1.0,f +31707,100%,Niger,48.0,f +5041,100%,Chile,7.0,f +10632,,Zimbabwe,2.0,f +26424,100%,Tonga,2.0,f +978,95%,Lithuania,29.0,f +33434,,Gambia,1.0,f +4745,100%,Croatia,119.0,f +32803,,,1.0,f +11475,100%,Papua New Guinea,4.0,f +4745,100%,Croatia,119.0,f +36127,100%,,16.0,f +35665,,Jersey,2.0,t +35104,100%,Switzerland,2.0,f +38701,40%,Niger,27.0,f +13673,,France,1.0,f +30254,,Zimbabwe,1.0,f +20682,90%,Fiji,3.0,f +20682,90%,Fiji,3.0,f +20682,90%,Fiji,3.0,f +18077,100%,Sao Tome and Principe,139.0,f +10042,,Indonesia,21.0,f +11487,33%,Russian Federation,1.0,t +33478,100%,Estonia,2.0,t +34853,,Bosnia and Herzegovina,1.0,f +8224,98%,Estonia,12.0,f +1553,,,2.0,f +20334,99%,Niger,171.0,t +36788,,,3.0,f +19791,,,1.0,t +19749,100%,Denmark,6.0,t +20724,100%,Denmark,1.0,f +36788,,,3.0,f +9349,,,1.0,t +42279,,Tonga,1.0,f +36788,,,3.0,f +19019,97%,Nicaragua,1484.0,f +35519,100%,Croatia,1.0,f +19019,97%,Nicaragua,1484.0,f +30825,,Monaco,1.0,f +19019,97%,Nicaragua,1484.0,f +21503,83%,,1.0,f +31014,,,1.0,t +8589,,Papua New Guinea,1.0,f +23747,100%,Niger,4.0,t +47231,,,1.0,f +47041,,,1.0,f +24912,100%,Sao Tome and Principe,5.0,f +42537,,,2.0,f +20334,99%,Niger,171.0,t +28828,100%,Isle of Man,198.0,t +18484,100%,Gambia,108.0,f +11407,,,1.0,f +47843,33%,,1.0,f +3926,100%,,1.0,f +27087,,Malta,1.0,f +21727,,Finland,1.0,f +12312,100%,Malawi,2.0,f +32258,79%,Ukraine,22.0,f +47274,100%,Tonga,48.0,f +35587,,Mauritania,1.0,f +18462,100%,Reunion,2.0,t +12717,,Rwanda,1.0,f +40793,100%,,75.0,t +43884,100%,Nauru,1.0,t +4745,100%,Croatia,119.0,f +32935,,Ghana,40.0,f +4745,100%,Croatia,119.0,f +36727,80%,Nicaragua,1.0,f +23491,90%,Niue,3.0,f +14557,100%,,3.0,t +4745,100%,Croatia,119.0,f +20153,96%,Reunion,51.0,f +44862,100%,Djibouti,12.0,f +5483,,Guinea,1.0,f +44169,97%,Portugal,39.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +45064,98%,Anguilla,15.0,f +1345,67%,Philippines,1.0,f +18998,,Nicaragua,1.0,t +44862,100%,Djibouti,12.0,f +47907,0%,,1.0,f +4841,,Czech Republic,2.0,f +44862,100%,Djibouti,12.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +44937,100%,Puerto Rico,19.0,t +44862,100%,Djibouti,12.0,f +30896,100%,Burkina Faso,2.0,f +48970,100%,,1.0,f +3842,,Malta,1.0,f +44937,100%,Puerto Rico,19.0,t +41652,90%,,2.0,f +19019,97%,Nicaragua,1484.0,f +14804,100%,Nauru,1.0,t +16649,100%,Gibraltar,8.0,f +14004,100%,Kiribati,1.0,f +44937,100%,Puerto Rico,19.0,t +33726,,Rwanda,1.0,f +19019,97%,Nicaragua,1484.0,f +46878,,Senegal,1.0,f +5383,100%,,1.0,f +38211,100%,Maldives,4.0,t +2904,,Canada,1.0,f +37958,,Micronesia,1.0,f +24497,,Russian Federation,1.0,t +4319,100%,Uganda,6.0,f +17689,,United Kingdom,2.0,f +33982,60%,,1.0,f +1285,,Kenya,2.0,f +3311,100%,Brunei Darussalam,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +30875,,,1.0,f +49299,90%,Equatorial Guinea,2.0,f +17087,50%,Portugal,1.0,t +42286,94%,Vietnam,9.0,t +50036,100%,Kiribati,1.0,t +43045,,French Guiana,1.0,t +356,99%,Wallis and Futuna,32.0,t +44370,,,1.0,f +44937,100%,Puerto Rico,19.0,t +44937,100%,Puerto Rico,19.0,t +14535,88%,Montserrat,18.0,f +44937,100%,Puerto Rico,19.0,t +28828,100%,Isle of Man,198.0,t +39559,,,1.0,f +21422,,Gambia,1.0,f +47274,100%,Tonga,48.0,f +15714,100%,Maldives,1.0,t +44168,0%,,1.0,f +49246,,,1.0,f +24026,98%,Cape Verde,69.0,t +7865,100%,Denmark,1.0,f +41287,100%,,1.0,f +28236,,Greenland,1.0,f +24991,100%,Indonesia,14.0,f +31672,75%,Maldives,6.0,f +31672,75%,Maldives,6.0,f +9239,100%,Cuba,17.0,f +31672,75%,Maldives,6.0,f +20,100%,Mexico,1.0,f +32203,100%,Barbados,176.0,f +28704,,Cocos (Keeling) Islands,1.0,t +32203,100%,Barbados,176.0,f +10364,100%,Slovakia (Slovak Republic),14.0,f +19019,97%,Nicaragua,1484.0,f +49196,100%,,2.0,f +4766,90%,Micronesia,1.0,f +9354,100%,Spain,12.0,f +8868,,Nauru,1.0,f +19019,97%,Nicaragua,1484.0,f +19321,100%,,2.0,f +47313,80%,Costa Rica,4.0,f +33206,100%,,1.0,f +10632,,Zimbabwe,2.0,f +9363,95%,Ukraine,50.0,f +36531,100%,Turks and Caicos Islands,1.0,f +7851,100%,,1.0,f +21426,100%,,2.0,f +38052,100%,Suriname,1.0,f +19957,100%,Venezuela,1.0,t +15030,,Niue,2.0,t +25441,,,1.0,f +12532,100%,,1.0,t +32052,,Venezuela,2.0,f +2876,90%,Venezuela,1.0,f +32948,100%,Croatia,1.0,t +2121,67%,Kenya,2.0,f +27256,100%,United Kingdom,2.0,f +44285,,Netherlands,1.0,f +14746,90%,,1.0,f +15839,,,1.0,f +22901,,Ecuador,1.0,f +36,100%,Sao Tome and Principe,3.0,f +41772,,Tonga,1.0,f +28410,,Cocos (Keeling) Islands,1.0,f +32490,,Sao Tome and Principe,1.0,f +29828,,,1.0,f +29864,100%,Ecuador,1.0,f +28244,80%,,4.0,f +22029,100%,,1.0,f +42658,100%,Afghanistan,1.0,f +27222,100%,Monaco,1.0,t +20362,100%,Malta,1.0,f +29330,,El Salvador,2.0,t +48367,100%,Sao Tome and Principe,2.0,f +7418,100%,Canada,2.0,f +19459,90%,Lebanon,2.0,f +43117,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +43188,100%,Micronesia,2.0,f +28875,100%,,1.0,t +9653,90%,Uzbekistan,1.0,f +4330,94%,Ukraine,60.0,t +19019,97%,Nicaragua,1484.0,f +9502,100%,,2.0,t +33724,100%,Papua New Guinea,1.0,f +19019,97%,Nicaragua,1484.0,f +29860,,,2.0,f +14959,,,1.0,t +46195,89%,Maldives,6.0,t +27188,,,1.0,t +30559,,Faroe Islands,1.0,t +17417,,Denmark,11.0,f +34507,50%,,1.0,f +15001,,Micronesia,1.0,f +20323,,Mexico,2.0,f +45015,,Tonga,1.0,t +38128,,Reunion,2.0,f +17553,100%,Maldives,2.0,t +290,,San Marino,1.0,t +34866,100%,Faroe Islands,1.0,f +24948,,Rwanda,3.0,f +34834,,Brazil,2.0,t +9871,,,1.0,f +23638,,Guinea,1.0,f +13453,100%,Jersey,2.0,f +34831,100%,Denmark,2.0,f +14650,,Cape Verde,1.0,t +36169,100%,,1.0,f +19205,,Chad,1.0,t +37942,90%,Papua New Guinea,1.0,f +12045,100%,,2.0,t +4316,100%,Micronesia,18.0,f +13823,,Nicaragua,1.0,f +5952,,Maldives,1.0,t +17280,80%,United Kingdom,1.0,f +44926,,Gibraltar,1.0,f +25039,,Saint Helena,7.0,t +17942,63%,Maldives,1.0,t +40606,88%,Slovakia (Slovak Republic),2.0,f +10957,100%,Russian Federation,1.0,t +28258,89%,Bouvet Island (Bouvetoya),2.0,t +541,93%,Marshall Islands,17.0,f +42722,,Isle of Man,1.0,t +1894,,Chad,1.0,f +36091,80%,Anguilla,2.0,t +26047,,Tonga,1.0,t +36261,90%,Slovakia (Slovak Republic),2.0,f +29147,100%,Slovakia (Slovak Republic),2.0,f +19724,80%,Malta,4.0,t +16324,,Maldives,1.0,f +7655,98%,Gambia,7.0,f +24118,98%,Ghana,21.0,t +41433,0%,Palestinian Territory,1.0,f +25924,,Somalia,1.0,f +6400,100%,Andorra,2.0,t +18985,100%,Philippines,2.0,f +9002,90%,Russian Federation,2.0,f +45350,100%,,2.0,f +46302,100%,Marshall Islands,1.0,f +38269,,Chile,1.0,f +4562,,,1.0,f +37323,,Faroe Islands,1.0,f +41202,100%,Niue,3.0,f +10566,,Isle of Man,1.0,f +41064,,Faroe Islands,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +28361,100%,Sao Tome and Principe,1.0,f +37141,100%,Isle of Man,1.0,f +10767,100%,Marshall Islands,2.0,f +13893,,Afghanistan,1.0,t +30735,,,2.0,f +32935,,Ghana,40.0,f +48469,100%,Puerto Rico,4.0,f +15487,100%,Uganda,4.0,f +15487,100%,Uganda,4.0,f +48469,100%,Puerto Rico,4.0,f +15487,100%,Uganda,4.0,f +15487,100%,Uganda,4.0,f +33756,,El Salvador,1.0,t +42451,100%,Rwanda,1.0,f +2433,100%,Tonga,21.0,f +26386,100%,Fiji,25.0,t +46744,0%,Turkmenistan,1.0,f +21071,100%,Marshall Islands,2.0,t +38648,,Svalbard & Jan Mayen Islands,1.0,f +46417,,,1.0,f +16724,100%,Niue,1.0,f +39688,,,1.0,f +11255,93%,Suriname,41.0,f +43237,40%,Montserrat,24.0,f +48791,97%,Uzbekistan,5.0,t +318,,Uzbekistan,22.0,f +318,,Uzbekistan,22.0,f +2106,100%,Uzbekistan,1.0,f +20334,99%,Niger,171.0,t +27226,100%,Congo,10.0,f +21551,,Anguilla,2.0,f +222,89%,,16.0,f +35896,100%,Nauru,1.0,f +4446,100%,Uganda,58.0,f +3940,100%,Pakistan,2.0,f +5308,,,1.0,f +9009,,Ghana,1.0,f +22494,100%,,1.0,f +38114,94%,Uzbekistan,19.0,f +30647,,El Salvador,3.0,t +20890,90%,Uzbekistan,3.0,t +13143,100%,,2.0,t +18481,100%,Malta,1.0,f +42894,0%,Niue,1.0,f +24557,,,1.0,f +34722,100%,,1.0,t +21958,,Chile,1.0,t +9337,80%,Estonia,2.0,f +48180,83%,Chile,1.0,f +30743,,Anguilla,2.0,f +41128,100%,Uzbekistan,4.0,f +6125,,Niger,1.0,f +27340,100%,Kiribati,2.0,f +19214,100%,Senegal,55.0,f +27083,,Tanzania,1.0,t +783,100%,Svalbard & Jan Mayen Islands,12.0,t +46918,100%,Sao Tome and Principe,5.0,f +41135,,,1.0,f +30015,,Micronesia,1.0,f +31594,100%,Philippines,19.0,t +15833,0%,Vanuatu,1.0,f +35328,100%,Tunisia,7.0,f +18494,,Russian Federation,1.0,f +24840,,France,1.0,f +16695,96%,Tonga,8.0,f +31881,100%,,1.0,t +43237,40%,Montserrat,24.0,f +43237,40%,Montserrat,24.0,f +40795,100%,Somalia,2.0,f +37888,89%,Niger,79.0,f +49320,100%,Maldives,1.0,f +35852,100%,Russian Federation,1.0,f +4564,,Anguilla,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +8166,100%,Rwanda,16.0,f +48898,,Niue,1.0,f +11372,100%,Micronesia,3.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +47478,,,1.0,f +32203,100%,Barbados,176.0,f +8842,100%,Slovakia (Slovak Republic),3.0,f +38328,,Marshall Islands,1.0,f +26207,100%,,2.0,t +4788,,Tonga,7.0,f +1681,100%,Chile,1.0,t +29647,100%,Peru,1305.0,f +30390,,,1.0,t +42990,80%,Uzbekistan,3.0,f +22950,,United Kingdom,2.0,t +28828,100%,Isle of Man,198.0,t +7390,100%,Niue,1.0,f +28953,56%,,2.0,f +4993,50%,,1.0,t +47954,97%,Uzbekistan,3.0,f +28828,100%,Isle of Man,198.0,t +10042,,Indonesia,21.0,f +28828,100%,Isle of Man,198.0,t +31263,100%,Marshall Islands,16.0,f +49781,,Philippines,5.0,f +19217,98%,Marshall Islands,46.0,f +40308,,Niue,1.0,f +19958,100%,Congo,40.0,t +552,100%,Lithuania,1.0,f +38683,,Rwanda,1.0,f +48257,100%,Kiribati,5.0,t +29712,,Rwanda,1.0,f +45564,100%,,1.0,f +35013,100%,Nicaragua,2.0,t +47224,100%,,1.0,f +3785,67%,Niue,1.0,f +4982,100%,Isle of Man,1.0,t +31297,,,1.0,t +9940,0%,,2.0,f +13441,100%,Togo,2.0,f +37564,,,1.0,t +21442,,Uzbekistan,1.0,f +3834,50%,Jersey,3.0,t +503,,Maldives,3.0,t +30223,80%,United Kingdom,1.0,f +27743,,Nauru,2.0,t +521,0%,Malta,2.0,t +17394,0%,Nicaragua,49.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +35524,100%,El Salvador,1.0,f +7249,,Uzbekistan,6.0,t +46676,,Lebanon,1.0,t +32203,100%,Barbados,176.0,f +8344,,Denmark,1.0,t +30288,100%,Uganda,1.0,t +17495,,,1.0,f +48178,17%,Estonia,5.0,t +3780,100%,Svalbard & Jan Mayen Islands,1.0,t +22721,100%,Ecuador,109.0,f +22014,,Zimbabwe,1.0,t +45379,,Turkmenistan,1.0,t +11729,,,1.0,f +6292,100%,,1.0,t +14590,,Turks and Caicos Islands,2.0,t +20957,,Niger,1.0,f +25138,100%,Bouvet Island (Bouvetoya),1.0,f +4882,,Switzerland,3.0,f +46428,100%,Niue,4.0,f +24288,100%,Senegal,4.0,f +29903,,Holy See (Vatican City State),1.0,t +32203,100%,Barbados,176.0,f +17538,,,1.0,f +38346,,Kiribati,1.0,t +39477,100%,,2.0,f +41782,75%,Tonga,1.0,f +17868,100%,Niue,2.0,f +48133,,Isle of Man,45.0,f +32038,100%,Indonesia,35.0,f +8437,99%,Maldives,6.0,f +20329,100%,Reunion,21.0,f +47274,100%,Tonga,48.0,f +39022,100%,Guinea,1.0,t +30183,100%,Saint Helena,1.0,t +42478,,Costa Rica,1.0,f +29106,,Niue,2.0,t +783,100%,Svalbard & Jan Mayen Islands,12.0,t +9538,,Svalbard & Jan Mayen Islands,3.0,f +9637,,Marshall Islands,1.0,f +16222,75%,Gibraltar,1.0,f +44259,,Zimbabwe,1.0,f +117,,Tonga,1.0,t +43737,100%,Gambia,1.0,f +24115,,Uruguay,1.0,f +46872,100%,Nicaragua,9.0,f +23548,94%,Fiji,7.0,f +46872,100%,Nicaragua,9.0,f +15260,,Maldives,1.0,f +46872,100%,Nicaragua,9.0,f +11617,,,2.0,f +28521,,,1.0,f +27866,100%,Guinea,8.0,f +20452,99%,Barbados,185.0,t +28828,100%,Isle of Man,198.0,t +2013,,Faroe Islands,1.0,t +4446,100%,Uganda,58.0,f +39477,100%,,2.0,f +41143,100%,Rwanda,1.0,f +35625,98%,Estonia,25.0,t +32899,100%,,1.0,f +47162,,,1.0,f +19784,100%,,1.0,f +5365,100%,,3.0,f +16561,90%,Holy See (Vatican City State),1.0,f +40977,100%,Reunion,7.0,f +40977,100%,Reunion,7.0,f +24913,,El Salvador,1.0,f +40977,100%,Reunion,7.0,f +17417,,Denmark,11.0,f +22331,99%,Rwanda,50.0,t +30904,100%,Sao Tome and Principe,2.0,f +31039,100%,,1.0,f +8698,0%,,2.0,f +40977,100%,Reunion,7.0,f +8698,0%,,2.0,f +38604,,,1.0,f +40977,100%,Reunion,7.0,f +35182,,Chad,2.0,f +32426,100%,,1.0,f +32203,100%,Barbados,176.0,f +29647,100%,Peru,1305.0,f +32935,,Ghana,40.0,f +29647,100%,Peru,1305.0,f +40524,100%,,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +46415,100%,French Guiana,2.0,t +32203,100%,Barbados,176.0,f +5486,100%,Svalbard & Jan Mayen Islands,12.0,f +26255,,Isle of Man,1.0,f +29602,100%,China,1.0,f +8392,80%,,1.0,f +19908,100%,Marshall Islands,2.0,t +39076,,Turkmenistan,1.0,f +31844,100%,Niue,2.0,t +27903,100%,,1.0,f +25128,100%,Barbados,5.0,t +29581,100%,Nicaragua,1.0,f +5437,98%,Reunion,4.0,f +38471,100%,Guinea,2.0,f +21730,,Philippines,5.0,t +9566,,Isle of Man,1.0,t +23249,,Grenada,2.0,f +21910,,Chad,2.0,f +17394,0%,Nicaragua,49.0,f +12416,,El Salvador,1.0,f +32810,100%,Russian Federation,2.0,t +18248,100%,Slovakia (Slovak Republic),2.0,f +39947,,Gambia,2.0,f +45059,,Gambia,1.0,f +6802,,Micronesia,2.0,f +29647,100%,Peru,1305.0,f +27056,100%,Kenya,4.0,f +6454,,Bouvet Island (Bouvetoya),1.0,f +49023,83%,,1.0,f +12822,,Guinea,1.0,f +48598,100%,Monaco,2.0,t +10190,,,1.0,f +31874,29%,Gambia,2.0,f +20334,99%,Niger,171.0,t +13644,100%,Somalia,1.0,t +12930,,Kiribati,1.0,f +37127,100%,Guinea,3.0,f +49918,,,1.0,f +23034,99%,Monaco,54.0,f +4816,90%,Somalia,3.0,f +8166,100%,Rwanda,16.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +48887,20%,Gambia,1.0,f +16192,100%,Netherlands Antilles,1.0,t +317,,Nauru,1.0,f +8937,,Svalbard & Jan Mayen Islands,1.0,t +8166,100%,Rwanda,16.0,f +42243,100%,Senegal,4.0,f +961,,Turkmenistan,1.0,f +8166,100%,Rwanda,16.0,f +24901,,France,1.0,f +39257,100%,Brazil,4.0,f +8166,100%,Rwanda,16.0,f +8166,100%,Rwanda,16.0,f +8166,100%,Rwanda,16.0,f +742,100%,Montserrat,1.0,t +21554,83%,Philippines,3.0,t +22331,99%,Rwanda,50.0,t +48133,,Isle of Man,45.0,f +454,70%,Netherlands,2.0,f +29846,100%,Maldives,7.0,f +4217,,Kenya,52.0,f +17515,100%,Philippines,5.0,f +17515,100%,Philippines,5.0,f +42390,100%,Wallis and Futuna,96.0,t +27459,,Pakistan,4.0,f +3454,,Guinea,2.0,f +36725,100%,,1.0,f +22994,100%,Bouvet Island (Bouvetoya),3.0,t +32203,100%,Barbados,176.0,f +20055,100%,Holy See (Vatican City State),3.0,t +43766,,Somalia,1.0,t +13070,100%,Fiji,45.0,f +7800,100%,,1.0,f +45929,96%,Uganda,3.0,f +12827,97%,Ukraine,5.0,f +22983,100%,Isle of Man,1.0,f +17515,100%,Philippines,5.0,f +3008,100%,France,1.0,f +16295,96%,Philippines,5.0,f +23100,100%,,1.0,f +7895,,Isle of Man,1.0,t +38114,94%,Uzbekistan,19.0,f +24611,,Turks and Caicos Islands,1.0,f +36261,90%,Slovakia (Slovak Republic),2.0,f +22776,,Micronesia,1.0,t +15937,100%,Russian Federation,1.0,t +32324,100%,Zimbabwe,1.0,f +3254,,Tonga,16.0,t +39114,100%,Slovakia (Slovak Republic),1.0,t +31158,99%,Suriname,11.0,f +5437,98%,Reunion,4.0,f +12085,,,1.0,f +43150,33%,Mauritania,1.0,t +6126,,Micronesia,2.0,f +36648,100%,Turks and Caicos Islands,2.0,f +46984,,Ecuador,1.0,f +29210,,,1.0,f +1375,100%,Micronesia,5.0,f +41286,100%,Sao Tome and Principe,3.0,f +10172,33%,,1.0,t +17894,100%,Faroe Islands,1.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +30014,,,1.0,f +3518,,Tonga,1.0,t +45481,,Uzbekistan,1.0,f +39799,50%,Russian Federation,6.0,f +12827,97%,Ukraine,5.0,f +47294,90%,Niue,2.0,f +47155,,Russian Federation,1.0,t +39799,50%,Russian Federation,6.0,f +12827,97%,Ukraine,5.0,f +39799,50%,Russian Federation,6.0,f +29752,100%,Costa Rica,1.0,f +39799,50%,Russian Federation,6.0,f +12827,97%,Ukraine,5.0,f +12827,97%,Ukraine,5.0,f +30236,100%,Zimbabwe,1.0,t +40548,100%,,1.0,t +5028,,United Kingdom,1.0,f +43507,,Niue,1.0,f +6520,100%,Faroe Islands,1.0,f +47930,,,1.0,t +24830,,Isle of Man,1.0,f +45407,100%,United Kingdom,1.0,f +8423,100%,,3.0,t +36968,,,1.0,t +49540,,Sao Tome and Principe,1.0,t +23662,100%,Vanuatu,3.0,f +25979,,,1.0,f +22729,,,1.0,t +14791,100%,Cocos (Keeling) Islands,3.0,t +40524,100%,,2.0,f +28719,100%,Russian Federation,4.0,t +35947,,,1.0,f +28158,,Cocos (Keeling) Islands,1.0,f +36012,100%,,8.0,f +40770,100%,Tonga,2.0,f +3814,,Isle of Man,3.0,f +36466,,Marshall Islands,1.0,f +17394,0%,Nicaragua,49.0,f +3971,,Faroe Islands,1.0,f +33202,100%,,2.0,t +17477,,French Guiana,1.0,f +17394,0%,Nicaragua,49.0,f +42942,100%,,1.0,f +13606,100%,,4.0,f +21571,,Finland,1.0,t +17394,0%,Nicaragua,49.0,f +32673,100%,,2.0,f +9460,100%,Kiribati,1.0,f +47602,97%,Puerto Rico,18.0,f +44087,100%,,1.0,t +47602,97%,Puerto Rico,18.0,f +47602,97%,Puerto Rico,18.0,f +24958,100%,Reunion,1.0,f +23159,,,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +38769,100%,Russian Federation,1.0,t +46088,,Ghana,15.0,f +30320,100%,Togo,4.0,f +42646,33%,Rwanda,4.0,f +2415,75%,,1.0,t +30320,100%,Togo,4.0,f +42646,33%,Rwanda,4.0,f +14956,,,1.0,f +8724,100%,,1.0,f +46712,,,1.0,t +47610,100%,Uzbekistan,10.0,f +26925,,United Kingdom,1.0,t +43000,,Nicaragua,1.0,f +13897,,Maldives,1.0,f +20304,50%,El Salvador,1.0,f +35447,100%,Croatia,1.0,t +7633,100%,,2.0,f +12247,100%,Maldives,33.0,f +38778,,Niue,1.0,f +12247,100%,Maldives,33.0,f +13183,,Lebanon,1.0,f +12247,100%,Maldives,33.0,f +49346,100%,Puerto Rico,1.0,f +12247,100%,Maldives,33.0,f +41491,100%,Marshall Islands,2.0,f +46391,,,1.0,f +18009,,Sao Tome and Principe,1.0,t +28967,,Netherlands,1.0,f +44161,,Brazil,1.0,t +27513,90%,Pakistan,3.0,f +27513,90%,Pakistan,3.0,f +29860,,,2.0,f +36892,,Kiribati,2.0,f +39221,,,1.0,f +27338,,,1.0,f +27463,,,1.0,t +19743,100%,Micronesia,2.0,f +20120,100%,Wallis and Futuna,10.0,f +20056,100%,Denmark,6.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +20956,43%,Rwanda,8.0,f +32935,,Ghana,40.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +34443,100%,Congo,1.0,t +33372,100%,Guinea,22.0,t +27106,100%,China,1.0,f +14059,100%,Uganda,9.0,f +22594,100%,Rwanda,12.0,f +3884,70%,Tanzania,1.0,f +37888,89%,Niger,79.0,f +22594,100%,Rwanda,12.0,f +41848,,Gambia,2.0,t +3834,50%,Jersey,3.0,t +28058,,Puerto Rico,1.0,f +18523,100%,Indonesia,1.0,t +34668,100%,Nicaragua,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +32203,100%,Barbados,176.0,f +39143,89%,,33.0,f +7060,,Niue,1.0,f +13059,,Tanzania,1.0,f +16467,,Denmark,2.0,f +34871,100%,Montserrat,1.0,f +9255,,Vietnam,10.0,f +19578,100%,Mauritania,2.0,t +38701,40%,Niger,27.0,f +24127,100%,Russian Federation,4.0,f +44231,,Vietnam,1.0,f +38701,40%,Niger,27.0,f +19333,100%,Russian Federation,1.0,f +5477,,Palestinian Territory,1.0,f +32203,100%,Barbados,176.0,f +31978,100%,Afghanistan,2.0,f +38701,40%,Niger,27.0,f +21367,100%,Jersey,1.0,f +38701,40%,Niger,27.0,f +16087,,French Guiana,1.0,f +38701,40%,Niger,27.0,f +38701,40%,Niger,27.0,f +7936,,Marshall Islands,1.0,f +38701,40%,Niger,27.0,f +48825,100%,Sao Tome and Principe,1.0,t +38600,,Croatia,2.0,t +40874,100%,Chad,1.0,f +43606,100%,Malta,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +16179,100%,,1.0,f +26737,,Somalia,1.0,t +29647,100%,Peru,1305.0,f +20522,,,1.0,t +22866,,Gambia,1.0,f +30931,100%,Papua New Guinea,3.0,f +6894,80%,Estonia,47.0,t +35929,,Guinea,1.0,f +29546,100%,French Polynesia,1.0,f +19449,100%,,3.0,f +24788,100%,Turkmenistan,1.0,t +27574,,,1.0,t +7866,,Mexico,1.0,f +19008,100%,Kiribati,1.0,f +30250,,Isle of Man,2.0,t +34799,100%,Brazil,2.0,t +29088,,,1.0,f +33891,100%,,1.0,f +44411,100%,Russian Federation,1.0,t +41150,,,1.0,f +7244,100%,Guatemala,2.0,t +13614,,Marshall Islands,1.0,f +40431,,Indonesia,1.0,f +24171,,,1.0,f +26686,88%,France,1.0,t +24907,100%,,1.0,f +10902,100%,Wallis and Futuna,6.0,f +35716,100%,Pakistan,4.0,f +13070,100%,Fiji,45.0,f +17417,,Denmark,11.0,f +33797,100%,Gambia,3.0,t +43152,100%,Nicaragua,82.0,t +9735,,Libyan Arab Jamahiriya,1.0,f +26890,,Lebanon,2.0,f +49781,,Philippines,5.0,f +15998,80%,Papua New Guinea,1.0,t +2743,97%,China,23.0,f +16295,96%,Philippines,5.0,f +5068,,El Salvador,1.0,t +4217,,Kenya,52.0,f +37457,,Turkmenistan,1.0,f +19818,,,1.0,t +2208,100%,Uganda,1.0,f +4945,0%,Cape Verde,5.0,f +40150,100%,Philippines,1.0,f +27034,,,1.0,f +41850,,Kiribati,3.0,f +47193,100%,Moldova,3.0,f +18484,100%,Gambia,108.0,f +31555,,Kiribati,1.0,f +14777,90%,,2.0,f +13834,,Kiribati,9.0,f +32361,,Somalia,1.0,f +10621,,El Salvador,1.0,f +29541,100%,Palestinian Territory,1.0,f +5205,,Slovakia (Slovak Republic),6.0,t +38817,100%,France,4.0,t +31652,100%,Kenya,8.0,t +37440,0%,Jersey,1.0,t +33297,100%,Croatia,2.0,t +17843,,,1.0,f +27729,,Afghanistan,4.0,f +17619,74%,Ghana,14.0,f +18831,100%,French Guiana,2.0,f +36457,100%,Rwanda,4.0,f +41850,,Kiribati,3.0,f +22911,100%,Denmark,2.0,f +50028,,Lebanon,1.0,t +42694,,Chile,1.0,f +26390,98%,Zimbabwe,5.0,f +18831,100%,French Guiana,2.0,f +42764,100%,Guernsey,13.0,t +26390,98%,Zimbabwe,5.0,f +26663,0%,Niger,1.0,f +42926,,,1.0,f +19855,100%,Kiribati,37.0,t +13364,91%,Netherlands,21.0,f +25354,,,1.0,f +22201,,,1.0,t +22546,,Nicaragua,1.0,f +23654,100%,Uzbekistan,23.0,f +7894,100%,Ukraine,10.0,f +1394,90%,Uzbekistan,1.0,f +8651,,Isle of Man,1.0,f +4217,,Kenya,52.0,f +19217,98%,Marshall Islands,46.0,f +24118,98%,Ghana,21.0,t +30835,100%,Guinea,1.0,f +9292,100%,Brazil,2.0,f +41539,,Puerto Rico,1.0,f +50013,100%,Tonga,3.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +13202,87%,Uganda,3.0,f +27459,,Pakistan,4.0,f +30165,100%,Malta,1.0,t +26153,100%,Nauru,1.0,f +27459,,Pakistan,4.0,f +48897,100%,Russian Federation,1.0,t +27459,,Pakistan,4.0,f +24065,100%,Maldives,12.0,f +18431,100%,Kiribati,5.0,t +20402,100%,Senegal,4.0,f +18431,100%,Kiribati,5.0,t +18431,100%,Kiribati,5.0,t +18431,100%,Kiribati,5.0,t +18339,,Niue,1.0,f +15189,79%,China,21.0,f +4054,,Jersey,3.0,t +46174,,Micronesia,1.0,f +32203,100%,Barbados,176.0,f +20334,99%,Niger,171.0,t +34897,,Maldives,1.0,f +38233,,Chad,1.0,f +12702,,China,3.0,f +17350,,Faroe Islands,1.0,f +20334,99%,Niger,171.0,t +32203,100%,Barbados,176.0,f +40793,100%,,75.0,t +35625,98%,Estonia,25.0,t +2804,100%,Switzerland,1.0,f +43777,100%,Denmark,18.0,f +33823,78%,France,17.0,t +44221,0%,,1.0,f +45245,,,1.0,t +22062,,Turkmenistan,1.0,t +36258,,,2.0,f +681,,Mauritania,1.0,t +48404,60%,El Salvador,1.0,f +170,,,1.0,f +47526,,Croatia,3.0,f +26781,,Estonia,1.0,t +7193,100%,Finland,1.0,f +40994,,Rwanda,1.0,f +21031,0%,Micronesia,1.0,f +2743,97%,China,23.0,f +2474,67%,Niue,1.0,f +28354,,Cocos (Keeling) Islands,1.0,f +10364,100%,Slovakia (Slovak Republic),14.0,f +42402,100%,Sao Tome and Principe,1.0,f +20956,43%,Rwanda,8.0,f +20956,43%,Rwanda,8.0,f +30237,80%,,1.0,f +1352,,Micronesia,1.0,f +20956,43%,Rwanda,8.0,f +18837,100%,Ecuador,5.0,t +44358,100%,Montserrat,1.0,f +31420,100%,Maldives,2.0,t +15978,100%,,2.0,f +7030,100%,Guernsey,6.0,f +32195,100%,Chile,1.0,f +28860,100%,Lebanon,6.0,t +10898,100%,Barbados,4.0,t +37994,,,1.0,t +39639,100%,Niue,19.0,f +35221,100%,Turks and Caicos Islands,30.0,t +26035,100%,Marshall Islands,1.0,f +6832,100%,Monaco,1.0,f +32935,,Ghana,40.0,f +21083,100%,Spain,3.0,t +24026,98%,Cape Verde,69.0,t +21612,100%,,1.0,f +41816,50%,Micronesia,1.0,t +19472,100%,United Kingdom,6.0,f +20532,90%,,7.0,f +20532,90%,,7.0,f +20532,90%,,7.0,f +41912,100%,Lebanon,2.0,t +24474,100%,Nicaragua,1.0,t +55,100%,Kiribati,2.0,f +20532,90%,,7.0,f +20532,90%,,7.0,f +20532,90%,,7.0,f +34258,,Vietnam,7.0,t +22594,100%,Rwanda,12.0,f +42286,94%,Vietnam,9.0,t +43176,86%,Guinea,3.0,f +10167,75%,Greenland,1.0,f +22594,100%,Rwanda,12.0,f +17575,100%,Gambia,2.0,f +19710,,,1.0,f +22911,100%,Denmark,2.0,f +26767,87%,,2.0,f +9363,95%,Ukraine,50.0,f +28241,97%,Maldives,10.0,f +42482,0%,Russian Federation,3.0,f +30777,,Malta,2.0,t +37493,0%,France,1.0,t +40451,100%,Togo,6.0,f +13660,,Reunion,1.0,f +48432,100%,Isle of Man,2.0,f +8102,100%,Togo,2.0,t +13413,,Chile,3.0,t +19506,100%,Kenya,1.0,f +8920,90%,France,3.0,f +21366,,Isle of Man,1.0,f +41878,91%,Maldives,47.0,f +43138,100%,Cocos (Keeling) Islands,1.0,t +23582,98%,Montserrat,17.0,f +8460,90%,,1.0,f +38152,100%,Zimbabwe,2.0,t +28828,100%,Isle of Man,198.0,t +34803,100%,Brazil,2.0,f +31985,,,1.0,f +21690,100%,Anguilla,5.0,t +41301,100%,Costa Rica,9.0,t +7691,100%,Faroe Islands,1.0,f +17322,95%,,30.0,f +17322,95%,,30.0,f +25550,100%,Nicaragua,8.0,t +17322,95%,,30.0,f +32273,100%,Kenya,1.0,f +38234,,Jersey,1.0,f +37646,100%,Estonia,60.0,f +19214,100%,Senegal,55.0,f +34402,79%,Reunion,28.0,f +34402,79%,Reunion,28.0,f +34402,79%,Reunion,28.0,f +33406,100%,Reunion,4.0,f +17981,,Russian Federation,2.0,t +47676,89%,Niue,1.0,f +47379,,,1.0,f +24118,98%,Ghana,21.0,t +37646,100%,Estonia,60.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +20431,100%,Reunion,1.0,f +21240,94%,Niger,130.0,f +48409,,Estonia,60.0,t +33515,,Kenya,1.0,t +11464,100%,Papua New Guinea,11.0,f +9522,50%,Kenya,1.0,f +10898,100%,Barbados,4.0,t +24946,,Reunion,1.0,f +4217,,Kenya,52.0,f +10711,93%,Uganda,108.0,t +47139,90%,Micronesia,1.0,f +29123,100%,Zimbabwe,16.0,t +2433,100%,Tonga,21.0,f +16709,100%,Isle of Man,1.0,f +14839,,Uzbekistan,1.0,f +15881,,Uzbekistan,1.0,f +1923,,,1.0,f +4999,100%,Malta,1.0,f +32881,,Uzbekistan,2.0,t +32935,,Ghana,40.0,f +19724,80%,Malta,4.0,t +17108,100%,Kiribati,3.0,f +29039,,Tanzania,1.0,f +10787,100%,Niue,1.0,f +31007,100%,Zimbabwe,1.0,f +4722,96%,Guinea,13.0,t +13403,96%,Maldives,21.0,t +11881,,Zimbabwe,1.0,f +45260,94%,,19.0,f +27469,100%,Marshall Islands,3.0,f +46182,100%,Vietnam,1.0,f +45260,94%,,19.0,f +1109,,Turkmenistan,1.0,f +26674,77%,Uzbekistan,27.0,f +21881,100%,Puerto Rico,2.0,f +3397,,China,2.0,f +6563,,Vanuatu,1.0,f +26419,100%,Barbados,6.0,f +48255,,Sao Tome and Principe,1.0,f +44757,100%,France,1.0,f +48155,,Lebanon,1.0,t +29164,,Mauritania,3.0,t +36998,92%,Lebanon,10.0,f +24581,100%,Denmark,1.0,f +16166,100%,China,1.0,f +6938,100%,,2.0,f +26905,50%,Puerto Rico,2.0,f +43609,,Niue,1.0,f +25122,0%,Croatia,1.0,t +24118,98%,Ghana,21.0,t +13070,100%,Fiji,45.0,f +14676,,Niue,1.0,f +8569,,,1.0,f +46807,100%,,1.0,f +37052,,French Guiana,1.0,f +30516,100%,Chile,1.0,t +48224,100%,Micronesia,2.0,f +7539,0%,,1.0,t +29298,75%,Cape Verde,2.0,f +2617,0%,United Kingdom,1.0,f +36561,,,1.0,t +35248,,,1.0,f +32773,90%,Niue,2.0,f +35142,,Nicaragua,1.0,f +17829,100%,Lithuania,2.0,f +33199,100%,Venezuela,1.0,f +37527,100%,Zimbabwe,2.0,f +873,,Kiribati,1.0,f +18144,20%,Uzbekistan,1.0,f +43354,,,1.0,f +13122,100%,,1.0,f +20086,,Turks and Caicos Islands,1.0,f +5282,,Sao Tome and Principe,1.0,f +26600,60%,Vanuatu,2.0,f +2740,,Estonia,5.0,f +43157,100%,Mauritania,4.0,f +39402,,Moldova,1.0,f +17786,100%,,1.0,f +15927,100%,,1.0,f +12349,,Lebanon,1.0,f +4407,80%,Sao Tome and Principe,1.0,f +41757,100%,Malta,5.0,f +20129,100%,Gambia,9.0,t +11695,100%,Denmark,1.0,f +4191,100%,Denmark,2.0,f +9224,100%,,1.0,f +40511,100%,,1.0,t +34841,100%,Zimbabwe,22.0,t +11475,100%,Papua New Guinea,4.0,f +35625,98%,Estonia,25.0,t +8224,98%,Estonia,12.0,f +31331,100%,Kiribati,1.0,f +10902,100%,Wallis and Futuna,6.0,f +28828,100%,Isle of Man,198.0,t +48592,63%,Isle of Man,3.0,f +14659,,,1.0,t +784,,Marshall Islands,1.0,f +12951,100%,Ecuador,1.0,f +44904,100%,Russian Federation,1.0,f +9693,100%,Vanuatu,8.0,f +15271,100%,Chile,3.0,t +12875,86%,,3.0,f +21332,100%,Isle of Man,2.0,t +38349,50%,,1.0,f +47047,,Puerto Rico,1.0,t +49079,,,1.0,t +7134,100%,Tanzania,2.0,f +39740,100%,Congo,2.0,f +12965,100%,Vietnam,11.0,t +26341,,Chad,1.0,f +18997,100%,,1.0,f +28612,,Peru,1.0,f +25023,,Lebanon,1.0,f +47082,100%,Uzbekistan,1.0,f +38755,100%,Croatia,1.0,f +25964,,France,1.0,f +37271,67%,,1.0,f +25093,,,1.0,t +11995,100%,Palestinian Territory,2.0,f +11995,100%,Palestinian Territory,2.0,f +5011,,Micronesia,1.0,t +37721,100%,El Salvador,2.0,f +8620,100%,Russian Federation,1.0,f +21752,90%,Turks and Caicos Islands,1.0,f +1634,,,1.0,t +10437,,Micronesia,1.0,t +28848,100%,Uganda,9.0,f +5183,,Micronesia,1.0,f +38098,100%,Zimbabwe,7.0,t +8224,98%,Estonia,12.0,f +13243,100%,Papua New Guinea,1.0,f +49778,,,1.0,f +8224,98%,Estonia,12.0,f +41878,91%,Maldives,47.0,f +38337,100%,Anguilla,1.0,f +21730,,Philippines,5.0,t +36391,,Croatia,1.0,f +21662,,Faroe Islands,1.0,f +30250,,Isle of Man,2.0,t +42646,33%,Rwanda,4.0,f +4600,70%,Marshall Islands,1.0,t +37869,100%,,2.0,f +15668,100%,Canada,1.0,t +49981,,Malawi,2.0,f +20349,100%,Lebanon,1.0,t +49281,,Ghana,1.0,f +4874,100%,,1.0,t +32141,,,1.0,f +40283,,El Salvador,1.0,t +21064,,Nauru,1.0,f +23289,100%,,1.0,t +44615,100%,French Polynesia,2.0,t +47436,,El Salvador,1.0,t +18402,,Guernsey,1.0,f +32935,,Ghana,40.0,f +39158,100%,,3.0,t +18247,95%,Iran,80.0,t +18247,95%,Iran,80.0,t +10495,,Brazil,1.0,f +45350,100%,,2.0,f +45199,,Puerto Rico,6.0,f +2408,90%,,1.0,f +9239,100%,Cuba,17.0,f +356,99%,Wallis and Futuna,32.0,t +5233,100%,Montserrat,6.0,t +9239,100%,Cuba,17.0,f +28828,100%,Isle of Man,198.0,t +22326,,,1.0,t +32935,,Ghana,40.0,f +28828,100%,Isle of Man,198.0,t +45199,,Puerto Rico,6.0,f +3494,,,1.0,f +19872,,,1.0,f +4514,100%,Micronesia,1.0,t +46428,100%,Niue,4.0,f +32935,,Ghana,40.0,f +10966,,Faroe Islands,1.0,f +27749,100%,France,2.0,f +17742,100%,French Polynesia,2.0,f +4330,94%,Ukraine,60.0,t +12352,,Lebanon,1.0,f +8592,100%,Uganda,1.0,f +5303,,Kiribati,1.0,f +32203,100%,Barbados,176.0,f +16933,60%,China,1.0,t +34042,100%,Marshall Islands,37.0,f +44916,100%,Congo,2.0,f +6267,100%,Estonia,1.0,f +1299,,Uganda,1.0,f +21121,75%,Malta,2.0,f +18343,,Gambia,1.0,f +5073,,Korea,1.0,f +10031,100%,Nicaragua,2.0,f +34042,100%,Marshall Islands,37.0,f +35292,100%,,1.0,f +25700,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +9512,80%,Gibraltar,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +38777,100%,,1.0,f +1069,100%,Guinea,1.0,f +20275,,,1.0,f +19319,100%,Sao Tome and Principe,3.0,f +39158,100%,,3.0,t +17820,100%,Montserrat,8.0,f +11149,100%,Ecuador,1.0,t +40040,,,1.0,f +41286,100%,Sao Tome and Principe,3.0,f +50062,100%,,1.0,f +46589,,Niue,1.0,f +974,,,1.0,f +3322,,,1.0,f +30898,100%,,1.0,t +41948,100%,,1.0,f +26514,99%,Vietnam,10.0,f +9185,89%,Saint Helena,1.0,f +8423,100%,,3.0,t +37253,100%,Saint Helena,1.0,t +13235,100%,Marshall Islands,1.0,t +22109,,,1.0,f +43517,,Russian Federation,1.0,t +10724,90%,Anguilla,1.0,f +17176,67%,Russian Federation,2.0,t +37869,100%,,2.0,f +9757,,Denmark,2.0,f +27526,100%,,2.0,t +13477,,Isle of Man,1.0,f +39534,100%,Guinea,1.0,f +32075,100%,Indonesia,2.0,f +4745,100%,Croatia,119.0,f +37566,100%,Indonesia,4.0,f +42898,,Greenland,1.0,f +4745,100%,Croatia,119.0,f +4217,,Kenya,52.0,f +30216,98%,Maldives,34.0,f +18050,,Ghana,6.0,f +4745,100%,Croatia,119.0,f +29647,100%,Peru,1305.0,f +11621,,Denmark,1.0,f +22009,,French Guiana,1.0,f +28688,84%,Afghanistan,2.0,t +11567,100%,Niger,31.0,t +11125,100%,Nicaragua,12.0,t +20511,,Vanuatu,1.0,f +43648,,Croatia,1.0,f +32203,100%,Barbados,176.0,f +32935,,Ghana,40.0,f +23751,100%,Afghanistan,1.0,f +22992,100%,Russian Federation,1.0,f +31207,100%,Maldives,1.0,f +47274,100%,Tonga,48.0,f +10042,,Indonesia,21.0,f +11448,,Croatia,1.0,f +40269,100%,Russian Federation,1.0,t +3814,,Isle of Man,3.0,f +11255,93%,Suriname,41.0,f +28866,,Cuba,5.0,f +18872,100%,Uzbekistan,2.0,t +11125,100%,Nicaragua,12.0,t +32552,100%,Uganda,1.0,t +40727,,Australia,3.0,f +21111,,Lithuania,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +11125,100%,Nicaragua,12.0,t +4745,100%,Croatia,119.0,f +32038,100%,Indonesia,35.0,f +20943,100%,Jersey,2.0,f +22703,,China,2.0,f +43162,72%,China,7.0,f +10488,100%,Niger,17.0,t +2596,75%,Puerto Rico,1.0,f +5558,,Afghanistan,2.0,f +24390,100%,Lithuania,1.0,f +5558,,Afghanistan,2.0,f +31874,29%,Gambia,2.0,f +45368,100%,Anguilla,1.0,f +10919,100%,Uzbekistan,2.0,f +14664,100%,Isle of Man,1.0,f +24919,100%,Estonia,4.0,f +9218,,Denmark,1.0,f +7521,100%,Mauritania,1.0,f +21074,100%,Togo,2.0,f +46761,100%,Afghanistan,1.0,t +45260,94%,,19.0,f +45260,94%,,19.0,f +26799,100%,Niger,1.0,f +22751,100%,Russian Federation,1.0,t +26829,,,1.0,f +11946,89%,Zimbabwe,2.0,f +22251,100%,Gambia,11.0,f +7822,100%,Faroe Islands,1.0,t +14852,,Sao Tome and Principe,2.0,f +44247,100%,Russian Federation,3.0,f +18247,95%,Iran,80.0,t +18247,95%,Iran,80.0,t +32935,,Ghana,40.0,f +18247,95%,Iran,80.0,t +27077,100%,Tonga,2.0,f +23161,100%,Sao Tome and Principe,2.0,f +16641,100%,Brazil,2.0,t +18933,75%,Venezuela,10.0,f +3938,,Costa Rica,1.0,f +21986,20%,Lebanon,1.0,f +13652,,Lithuania,2.0,f +21074,100%,Togo,2.0,f +18256,100%,,1.0,f +18933,75%,Venezuela,10.0,f +33971,,Niue,1.0,f +14960,100%,Vietnam,2.0,f +7630,,,1.0,f +48578,100%,,3.0,f +43152,100%,Nicaragua,82.0,t +18933,75%,Venezuela,10.0,f +9820,,,1.0,f +5755,100%,Bouvet Island (Bouvetoya),1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +31495,,Uzbekistan,1.0,f +24525,,Niger,1.0,f +18459,100%,Zimbabwe,100.0,f +25746,,,1.0,f +9521,,Chad,1.0,t +21552,,Nicaragua,6.0,f +16813,100%,Kiribati,2.0,f +16489,100%,Russian Federation,42.0,t +20581,100%,Marshall Islands,2.0,t +8115,,France,1.0,t +4330,94%,Ukraine,60.0,t +16489,100%,Russian Federation,42.0,t +6375,,United Kingdom,2.0,f +6594,100%,Cuba,2.0,t +43803,50%,Sao Tome and Principe,2.0,f +48012,90%,,1.0,f +8124,100%,Barbados,2.0,f +36025,100%,Djibouti,6.0,t +30759,100%,Uganda,2.0,f +10838,78%,Ecuador,2.0,t +33389,,Kenya,1.0,f +10861,,,2.0,f +11554,100%,Croatia,1.0,f +47535,,Lebanon,1.0,t +6319,,Niue,1.0,t +10491,,Guinea,2.0,t +15377,100%,Uzbekistan,1.0,t +17823,100%,Russian Federation,1.0,f +45191,100%,Montserrat,3.0,t +1695,100%,Anguilla,2.0,f +30919,100%,Mexico,1.0,f +17696,,,1.0,f +14362,,,5.0,f +14362,,,5.0,f +14362,,,5.0,f +14362,,,5.0,f +14362,,,5.0,f +38891,90%,Kiribati,1.0,f +7554,100%,,1105.0,f +14514,,China,80.0,t +7554,100%,,1105.0,f +14514,,China,80.0,t +27395,100%,,1.0,f +7554,100%,,1105.0,f +7554,100%,,1105.0,f +7554,100%,,1105.0,f +4217,,Kenya,52.0,f +7554,100%,,1105.0,f +46148,100%,Uganda,1.0,f +42310,100%,Ecuador,6.0,t +43659,98%,Maldives,14.0,f +32558,,Cape Verde,1.0,f +4027,,,1.0,f +22721,100%,Ecuador,109.0,f +37239,100%,Lebanon,1.0,f +36045,,China,1.0,f +45283,,Turkmenistan,1.0,f +26232,,Bosnia and Herzegovina,1.0,f +32203,100%,Barbados,176.0,f +1185,100%,,1.0,f +968,100%,Portugal,6.0,f +45518,100%,Switzerland,1.0,f +14514,,China,80.0,t +28708,100%,Guinea,4.0,t +20454,,,1.0,f +18933,75%,Venezuela,10.0,f +24086,100%,Indonesia,1.0,t +26976,,Mauritania,1.0,t +1433,,Rwanda,1.0,f +8124,100%,Barbados,2.0,f +30786,,Uzbekistan,29.0,f +31518,100%,Maldives,2.0,f +30248,,Gibraltar,1.0,f +5510,,Reunion,1.0,f +18933,75%,Venezuela,10.0,f +486,,Bouvet Island (Bouvetoya),1.0,f +32992,,Lebanon,1.0,t +10686,86%,Tonga,21.0,f +611,86%,Montserrat,7.0,f +9873,100%,Kenya,1.0,f +20334,99%,Niger,171.0,t +6995,,,1.0,t +40481,89%,,1.0,t +11043,100%,,1.0,t +12247,100%,Maldives,33.0,f +38556,,Niue,1.0,f +34367,100%,Tanzania,2.0,f +43990,100%,Uganda,7.0,f +11622,100%,,3.0,t +36611,71%,Maldives,14.0,f +27883,100%,Cuba,11.0,f +17394,0%,Nicaragua,49.0,f +48402,90%,Guinea,2.0,t +13470,100%,,2.0,f +18867,90%,Guinea,2.0,t +42504,100%,Puerto Rico,1.0,f +9139,100%,Turks and Caicos Islands,1.0,t +5551,,Anguilla,1.0,t +1113,100%,Denmark,2.0,f +1113,100%,Denmark,2.0,f +23924,,,1.0,f +10901,,Bosnia and Herzegovina,1.0,f +9371,100%,Uzbekistan,1.0,f +31089,100%,Kiribati,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +23444,,Rwanda,1.0,f +2043,,Libyan Arab Jamahiriya,5.0,t +46410,100%,,1.0,f +26311,,,1.0,f +20402,100%,Senegal,4.0,f +11738,100%,Peru,1.0,t +26046,100%,Namibia,2.0,f +19603,98%,Cuba,12.0,f +24108,100%,,1.0,f +25041,,Russian Federation,1.0,f +42980,,Cook Islands,1.0,f +20851,,,1.0,t +10718,100%,Guinea,6.0,f +40977,100%,Reunion,7.0,f +18933,75%,Venezuela,10.0,f +18933,75%,Venezuela,10.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +39892,100%,Tonga,31.0,t +31202,90%,Kiribati,107.0,f +10717,100%,,1.0,t +10872,100%,Marshall Islands,1.0,f +39892,100%,Tonga,31.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +39892,100%,Tonga,31.0,t +6502,,Togo,1.0,f +22525,,Micronesia,1.0,f +30786,,Uzbekistan,29.0,f +45209,100%,Gambia,1.0,f +18204,,Christmas Island,2.0,t +25651,,,1.0,f +6519,,,1.0,f +4661,,,1.0,t +20999,,Senegal,1.0,f +27972,94%,Brazil,27.0,f +26674,77%,Uzbekistan,27.0,f +8564,100%,,1.0,f +16832,100%,France,1.0,t +19426,,,1.0,f +43777,100%,Denmark,18.0,f +46890,,,1.0,t +36527,,Guernsey,1.0,f +25170,100%,Russian Federation,2.0,f +42281,100%,Marshall Islands,39.0,f +10686,86%,Tonga,21.0,f +42281,100%,Marshall Islands,39.0,f +17733,,,5.0,f +17733,,,5.0,f +17733,,,5.0,f +17733,,,5.0,f +42281,100%,Marshall Islands,39.0,f +17733,,,5.0,f +42281,100%,Marshall Islands,39.0,f +30729,43%,Cape Verde,1.0,t +42281,100%,Marshall Islands,39.0,f +29814,100%,,5.0,f +18431,100%,Kiribati,5.0,t +29814,100%,,5.0,f +29814,100%,,5.0,f +1652,88%,Greenland,2.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +17668,100%,,1.0,t +9470,100%,,10.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +9470,100%,,10.0,f +36689,100%,Turkmenistan,1.0,t +12651,90%,,1.0,f +10148,90%,Uganda,1.0,f +36920,,,2.0,f +46179,94%,El Salvador,1.0,t +33198,100%,Mauritania,12.0,f +17667,,Uganda,2.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +11806,100%,,1.0,t +20870,,,2.0,f +24767,100%,Puerto Rico,1.0,f +24716,100%,,1.0,f +1072,,Tanzania,1.0,f +12511,100%,Gambia,1.0,f +39406,,Croatia,1.0,f +46874,100%,,1.0,t +30534,,Marshall Islands,1.0,f +42436,,Ghana,4.0,f +28824,50%,Estonia,2.0,f +10236,100%,Monaco,1.0,f +9668,,China,2.0,f +15030,,Niue,2.0,t +10021,,El Salvador,1.0,f +23811,82%,,1.0,t +39906,,Ecuador,1.0,f +39279,,Rwanda,3.0,f +4330,94%,Ukraine,60.0,t +9385,,Guinea,1.0,f +7472,100%,Faroe Islands,1.0,t +31671,100%,Kiribati,1.0,f +15332,100%,Anguilla,9.0,f +20992,,Portugal,1.0,f +38375,100%,El Salvador,2.0,f +22852,100%,Togo,3.0,f +31714,,Turkmenistan,1.0,t +3637,80%,,2.0,f +21095,,,1.0,f +16030,100%,Gambia,2.0,f +39709,100%,Isle of Man,1.0,f +43428,73%,Faroe Islands,9.0,t +16898,,Kiribati,1.0,f +46045,100%,Russian Federation,1.0,t +9043,100%,Gibraltar,3.0,f +38636,,Isle of Man,1.0,f +19214,100%,Senegal,55.0,f +7655,98%,Gambia,7.0,f +1796,100%,Mauritania,5.0,f +14577,50%,Niue,2.0,t +5806,90%,Niue,2.0,f +35327,,Svalbard & Jan Mayen Islands,1.0,f +25412,100%,,2.0,f +18398,100%,Niue,2.0,f +47653,,Bosnia and Herzegovina,1.0,t +17245,100%,Denmark,3.0,f +48847,,,1.0,f +46809,67%,Guernsey,1.0,t +29706,,Sao Tome and Principe,1.0,f +5445,,Chile,1.0,t +45093,,,1.0,f +45657,,Uzbekistan,1.0,f +3392,,Vanuatu,1.0,f +19886,,,1.0,t +9831,100%,Micronesia,1.0,f +18725,,,1.0,t +6168,,Bouvet Island (Bouvetoya),14.0,t +42409,100%,Lebanon,2.0,f +40727,,Australia,3.0,f +33400,97%,Zimbabwe,5.0,t +13835,100%,El Salvador,1.0,f +43960,100%,Marshall Islands,1.0,f +9468,,,1.0,t +4345,,Gambia,1.0,t +46308,100%,,1.0,f +11560,0%,Isle of Man,1.0,f +30021,100%,Djibouti,7.0,t +11839,,Uganda,11.0,f +33043,,Niue,2.0,f +19487,100%,Cocos (Keeling) Islands,2.0,f +30021,100%,Djibouti,7.0,t +14803,,,1.0,t +36786,,,1.0,f +4335,90%,Uganda,1.0,f +7554,100%,,1105.0,f +7554,100%,,1105.0,f +7554,100%,,1105.0,f +7554,100%,,1105.0,f +7597,100%,,2.0,t +7326,100%,Kiribati,3.0,t +48096,,Kenya,1.0,f +41896,100%,Sao Tome and Principe,1.0,f +17174,100%,Mauritania,1.0,t +13177,100%,,2.0,t +22464,,,1.0,t +14025,100%,Guinea,1.0,f +24789,100%,Sao Tome and Principe,6.0,f +42764,100%,Guernsey,13.0,t +28589,100%,Bosnia and Herzegovina,5.0,f +3853,30%,Denmark,3.0,f +27387,96%,Tonga,5.0,f +35168,,Micronesia,1.0,f +37185,100%,China,1.0,f +24671,,Ghana,10.0,f +12052,,,1.0,t +31725,,Montserrat,2.0,t +24896,100%,Algeria,50.0,t +10711,93%,Uganda,108.0,t +30043,100%,Palestinian Territory,1.0,f +49417,,,1.0,f +36060,100%,Niue,2.0,f +9757,,Denmark,2.0,f +43423,,French Guiana,1.0,f +31707,100%,Niger,48.0,f +18433,96%,Guinea,2.0,t +44722,100%,Niue,2.0,f +42841,100%,Netherlands,1.0,f +10191,100%,Lebanon,2.0,f +13773,,Zimbabwe,1.0,f +49205,100%,Niue,1.0,f +31529,100%,Wallis and Futuna,6.0,f +42100,93%,Guinea,2.0,f +21080,100%,Mexico,1.0,f +14558,,,1.0,t +24026,98%,Cape Verde,69.0,t +11616,100%,Uzbekistan,12.0,t +927,100%,,1.0,f +48117,98%,Ukraine,41.0,f +16824,100%,Turkmenistan,1.0,f +5420,100%,Tonga,41.0,f +37745,100%,Zimbabwe,1.0,f +4430,100%,Ghana,1.0,f +32213,,Puerto Rico,1.0,f +34306,91%,Wallis and Futuna,30.0,t +33761,100%,Venezuela,2.0,t +34306,91%,Wallis and Futuna,30.0,t +3121,95%,Zimbabwe,9.0,t +37067,100%,Kiribati,1.0,f +36775,,,1.0,t +2552,80%,,1.0,f +39271,90%,Maldives,2.0,f +1695,100%,Anguilla,2.0,f +41537,100%,Indonesia,2.0,f +43086,100%,Monaco,1.0,t +5585,100%,,1.0,f +42291,,Lebanon,1.0,f +22905,100%,Niue,3.0,f +48570,100%,Montserrat,2.0,f +25036,100%,Lebanon,1.0,t +48570,100%,Montserrat,2.0,f +42080,100%,France,1.0,f +13712,100%,Malawi,3.0,f +41537,100%,Indonesia,2.0,f +10161,,Jersey,2.0,t +84,,Gambia,2.0,f +46931,,Marshall Islands,1.0,f +7779,,Marshall Islands,1.0,t +38873,100%,Mauritania,4.0,f +28728,,,1.0,f +31296,98%,,4.0,f +19425,83%,,2.0,f +10809,100%,Bosnia and Herzegovina,4.0,f +19273,100%,Jersey,1.0,f +43157,100%,Mauritania,4.0,f +43157,100%,Mauritania,4.0,f +17999,100%,,1.0,f +41959,,Ghana,1.0,f +41498,,Sao Tome and Principe,1.0,t +14994,100%,Montserrat,1.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +49987,100%,,19.0,f +11703,,,1.0,f +41475,,,1.0,f +49987,100%,,19.0,f +45199,,Puerto Rico,6.0,f +25958,100%,Tonga,3.0,f +34402,79%,Reunion,28.0,f +29566,,French Polynesia,1.0,f +44660,,France,1.0,f +15419,100%,Cocos (Keeling) Islands,1.0,t +19056,,Jersey,1.0,f +20956,43%,Rwanda,8.0,f +44714,,Ghana,4.0,f +6216,,,1.0,f +39708,100%,Anguilla,1.0,t +27972,94%,Brazil,27.0,f +29647,100%,Peru,1305.0,f +38241,,Uzbekistan,2.0,t +1835,100%,Ecuador,8.0,f +29647,100%,Peru,1305.0,f +40382,100%,Malta,1.0,f +32676,100%,China,34.0,f +32203,100%,Barbados,176.0,f +50089,100%,Isle of Man,2.0,f +32676,100%,China,34.0,f +25417,100%,Philippines,1.0,f +32676,100%,China,34.0,f +30786,,Uzbekistan,29.0,f +40155,100%,Tonga,4.0,f +24929,,Zimbabwe,1.0,f +32676,100%,China,34.0,f +20153,96%,Reunion,51.0,f +23067,90%,El Salvador,2.0,f +32676,100%,China,34.0,f +37024,100%,Mauritania,1.0,f +32203,100%,Barbados,176.0,f +32676,100%,China,34.0,f +40421,96%,Jersey,29.0,t +12437,,,4.0,f +32676,100%,China,34.0,f +12437,,,4.0,f +12437,,,4.0,f +41422,,,2.0,t +12437,,,4.0,f +39279,,Rwanda,3.0,f +49464,,Indonesia,2.0,f +47416,,Bosnia and Herzegovina,2.0,f +48232,,,1.0,f +12654,,Lebanon,1.0,f +3121,95%,Zimbabwe,9.0,t +36574,100%,Russian Federation,4.0,f +10873,100%,,1.0,t +37283,100%,Brazil,1.0,t +31965,,Zimbabwe,1.0,f +41536,,,1.0,f +48148,,El Salvador,1.0,t +685,,Sao Tome and Principe,1.0,t +26479,,Togo,1.0,f +12878,0%,Croatia,2.0,t +39642,,,2.0,f +26713,,Afghanistan,4.0,t +31354,100%,Niger,8.0,t +44537,100%,Tonga,7.0,f +49259,,Mauritania,1.0,f +28845,,Cape Verde,1.0,t +32203,100%,Barbados,176.0,f +19093,100%,Nicaragua,4.0,t +37449,100%,Tonga,3.0,f +47463,,Tanzania,2.0,f +39222,67%,Bouvet Island (Bouvetoya),3.0,f +2374,100%,,1.0,f +4130,,Maldives,7.0,f +3431,,,1.0,f +43050,100%,,2.0,t +3637,80%,,2.0,f +24775,97%,Montserrat,44.0,f +23464,,Togo,1.0,f +42758,,Sao Tome and Principe,1.0,f +18432,100%,Malta,1.0,f +17970,100%,Monaco,1.0,f +6379,83%,Nauru,1.0,f +42274,100%,Faroe Islands,2.0,t +12936,100%,,1.0,f +47978,,Zimbabwe,1.0,f +47150,,Niue,1.0,f +29647,100%,Peru,1305.0,f +27883,100%,Cuba,11.0,f +32150,,Guernsey,1.0,f +43465,100%,Kenya,2.0,f +42709,100%,Mauritania,2.0,t +28379,0%,,1.0,f +32738,100%,Vanuatu,1.0,f +39758,80%,,2.0,f +308,100%,France,1.0,f +27883,100%,Cuba,11.0,f +31130,,Sao Tome and Principe,1.0,f +50002,100%,Micronesia,1.0,f +17497,,Tonga,1.0,t +41546,100%,Mauritania,21.0,f +4368,,Mauritania,2.0,t +35649,100%,,1.0,f +39085,100%,Brazil,1.0,f +35483,80%,Reunion,6.0,f +12057,,Sao Tome and Principe,2.0,f +21418,,Monaco,1.0,f +41709,100%,,12.0,f +10625,,Tonga,1.0,f +11829,100%,Burkina Faso,21.0,f +33296,,Lebanon,1.0,t +26541,100%,Nicaragua,12.0,f +7268,100%,Denmark,3.0,f +6802,,Micronesia,2.0,f +28085,100%,,1.0,f +10718,100%,Guinea,6.0,f +25327,100%,Kiribati,4.0,f +18306,90%,Jersey,5.0,f +27769,,Greenland,1.0,f +30075,70%,France,1.0,f +10418,,Tanzania,1.0,f +40889,100%,Guinea,3.0,f +46634,100%,,1.0,t +4005,100%,French Guiana,2.0,f +9899,90%,Maldives,3.0,f +9899,90%,Maldives,3.0,f +19951,88%,Vanuatu,10.0,f +12940,100%,,2.0,t +11529,,,1.0,f +10972,100%,Togo,1.0,f +45770,,,1.0,f +332,,French Guiana,1.0,t +16275,98%,Maldives,24.0,f +38532,90%,,6.0,f +16275,98%,Maldives,24.0,f +17842,,Niger,1.0,f +15737,,,1.0,f +32676,100%,China,34.0,f +30294,,Bouvet Island (Bouvetoya),1.0,t +19951,88%,Vanuatu,10.0,f +32676,100%,China,34.0,f +32676,100%,China,34.0,f +32676,100%,China,34.0,f +47237,94%,Marshall Islands,5.0,f +16679,100%,Kenya,2.0,f +7812,100%,Bosnia and Herzegovina,8.0,f +48713,100%,,6.0,f +33298,,Anguilla,2.0,f +48713,100%,,6.0,f +48713,100%,,6.0,f +48713,100%,,6.0,f +48713,100%,,6.0,f +48713,100%,,6.0,f +37774,,Djibouti,1.0,f +21537,,,2.0,f +1792,100%,Niue,1.0,f +45829,100%,Venezuela,4.0,f +34525,100%,Estonia,1.0,f +9988,,Niue,1.0,t +44932,,Kenya,2.0,f +22248,,Malta,1.0,t +32203,100%,Barbados,176.0,f +18077,100%,Sao Tome and Principe,139.0,f +24604,100%,Faroe Islands,1.0,t +1304,100%,Montserrat,2.0,f +11411,100%,Russian Federation,2.0,f +123,,Faroe Islands,1.0,f +4217,,Kenya,52.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +22755,,,8.0,t +4510,93%,Maldives,2.0,f +4217,,Kenya,52.0,f +27839,,Greenland,1.0,f +29122,100%,Kenya,1.0,f +40727,,Australia,3.0,f +1285,,Kenya,2.0,f +15577,,Peru,1.0,f +34763,100%,Russian Federation,4.0,f +31445,,Mauritania,1.0,f +30596,,,1.0,f +37639,100%,Nauru,11.0,f +3771,100%,,3.0,f +47274,100%,Tonga,48.0,f +37891,100%,Malta,1.0,f +3771,100%,,3.0,f +42883,,Nauru,1.0,f +18078,100%,Montserrat,13.0,t +2234,100%,Mexico,1.0,t +17667,,Uganda,2.0,f +44585,100%,,1.0,t +42877,,Brazil,1.0,f +50079,75%,,1.0,f +42125,97%,Tonga,4.0,f +39870,,Slovakia (Slovak Republic),21.0,t +26443,,Guinea,3.0,f +11562,100%,Ghana,5.0,f +6439,100%,Cuba,1.0,f +5288,100%,Micronesia,1.0,f +27748,90%,,1.0,f +21654,96%,Solomon Islands,5.0,t +39143,89%,,33.0,f +32097,100%,Denmark,5.0,f +40689,100%,Cuba,23.0,f +5668,90%,Tonga,2.0,t +6876,100%,Turks and Caicos Islands,1.0,f +17641,,Tajikistan,4.0,f +49694,100%,Montserrat,2.0,f +40441,90%,Russian Federation,2.0,f +18441,,,1.0,f +13364,91%,Netherlands,21.0,f +23315,,Somalia,1.0,f +11575,100%,,1.0,f +40135,100%,Kenya,1.0,f +32935,,Ghana,40.0,f +11084,100%,Brazil,1.0,f +6136,100%,Papua New Guinea,1.0,t +28828,100%,Isle of Man,198.0,t +41756,100%,Chad,1.0,f +10711,93%,Uganda,108.0,t +10711,93%,Uganda,108.0,t +5880,,,2.0,f +28796,100%,,1.0,t +13629,67%,Cape Verde,6.0,f +1279,100%,,5.0,f +6894,80%,Estonia,47.0,t +29816,,Malawi,1.0,f +10541,,Croatia,1.0,f +27309,,Isle of Man,4.0,f +13664,100%,Malawi,1.0,t +49006,,Philippines,2.0,f +39892,100%,Tonga,31.0,t +1608,100%,Zimbabwe,2.0,f +29534,100%,,1.0,f +10902,100%,Wallis and Futuna,6.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +4485,95%,China,7.0,t +17909,100%,Kiribati,3.0,f +41277,,Niue,1.0,f +47946,,Mauritania,1.0,f +24780,100%,Cape Verde,1.0,f +3167,100%,Micronesia,3.0,f +12221,90%,,2.0,f +9158,0%,Micronesia,1.0,f +12088,100%,Kiribati,8.0,f +2954,100%,Denmark,5.0,t +8010,100%,Tonga,2.0,f +27974,,Reunion,1.0,f +33797,100%,Gambia,3.0,t +19250,100%,Papua New Guinea,1.0,f +1550,100%,El Salvador,1.0,t +20429,,Reunion,1.0,f +41497,,,1.0,f +13756,100%,Guinea,3.0,f +7331,99%,Indonesia,8.0,t +30598,100%,,1.0,f +18065,100%,Zimbabwe,1.0,t +30218,100%,France,1.0,f +13077,,Costa Rica,1.0,f +5134,60%,Micronesia,2.0,f +11954,100%,Uzbekistan,1.0,f +31385,,,1.0,t +19408,100%,France,1.0,f +48689,100%,Marshall Islands,1.0,f +15062,,Micronesia,1.0,f +49863,33%,,1.0,f +36648,100%,Turks and Caicos Islands,2.0,f +37000,100%,Jersey,1.0,t +30383,90%,Mauritania,6.0,t +5413,100%,France,3.0,t +48009,,Guernsey,1.0,t +37358,0%,Uzbekistan,1.0,f +22777,,Tonga,1.0,f +5051,100%,El Salvador,12.0,f +8225,95%,Barbados,31.0,f +10378,100%,Afghanistan,2.0,f +43565,,Denmark,1.0,f +10320,92%,Tonga,10.0,f +8503,70%,Venezuela,1.0,t +38205,100%,Zimbabwe,1.0,f +26695,,,1.0,f +38832,97%,,15.0,f +40993,100%,Montserrat,15.0,f +23474,,Estonia,2.0,f +23474,,Estonia,2.0,f +6618,100%,Philippines,2.0,f +25789,,,1.0,t +49012,100%,Micronesia,1.0,t +13465,100%,,1.0,f +7082,,Philippines,1.0,t +29814,100%,,5.0,f +15332,100%,Anguilla,9.0,f +15332,100%,Anguilla,9.0,f +36827,100%,,1.0,f +24154,100%,,2.0,f +38085,,Rwanda,1.0,f +1200,100%,Russian Federation,2.0,t +24633,,Chad,3.0,t +9499,,Greenland,1.0,f +29280,,Uganda,1.0,f +15332,100%,Anguilla,9.0,f +37973,98%,Monaco,1.0,t +24300,97%,Palau,5.0,t +41379,100%,France,2.0,t +15332,100%,Anguilla,9.0,f +2410,50%,Kiribati,2.0,f +15332,100%,Anguilla,9.0,f +15332,100%,Anguilla,9.0,f +15332,100%,Anguilla,9.0,f +22142,,Isle of Man,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +35924,100%,Nicaragua,1.0,t +26806,100%,Faroe Islands,1.0,t +37248,,Senegal,2.0,t +43388,94%,Barbados,2.0,f +21794,,Canada,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +29365,100%,Venezuela,2.0,t +46339,100%,Uzbekistan,1.0,t +14775,,United Kingdom,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +2475,,,1.0,t +3152,,,1.0,t +4036,100%,Gibraltar,1.0,t +45298,100%,Zimbabwe,1.0,t +32676,100%,China,34.0,f +23926,90%,,1.0,t +32676,100%,China,34.0,f +26392,,Malta,4.0,f +10092,90%,Papua New Guinea,2.0,t +32676,100%,China,34.0,f +9693,100%,Vanuatu,8.0,f +32676,100%,China,34.0,f +45963,,Mauritania,3.0,t +34558,100%,Philippines,1.0,f +23179,90%,Denmark,1.0,f +11782,100%,,1.0,t +9643,,,1.0,f +31648,,Faroe Islands,1.0,f +40456,0%,Russian Federation,1.0,f +34482,100%,Montserrat,1.0,t +18932,100%,Portugal,1.0,f +5555,100%,Denmark,11.0,t +10993,,Mauritania,8.0,f +26720,,Kenya,3.0,f +39738,100%,,1.0,f +29123,100%,Zimbabwe,16.0,t +38727,100%,Lebanon,1.0,f +32059,,,1.0,f +23303,100%,,2.0,f +46469,100%,Russian Federation,1.0,f +8182,,,1.0,f +42125,97%,Tonga,4.0,f +26469,100%,,1.0,f +42145,,Andorra,1.0,f +7817,,Isle of Man,2.0,f +19698,100%,Guinea,1.0,t +39191,,,1.0,t +7257,,Russian Federation,1.0,f +19127,,Maldives,1.0,f +32676,100%,China,34.0,f +17028,,,1.0,f +7398,33%,Niue,1.0,f +32609,100%,Malta,1.0,f +38180,,Maldives,1.0,f +13789,,Cocos (Keeling) Islands,1.0,f +37465,,,1.0,t +6318,100%,,1.0,f +32304,100%,Maldives,1.0,f +20871,80%,Russian Federation,1.0,f +2853,,Monaco,1.0,t +12547,100%,Slovakia (Slovak Republic),2.0,f +39469,100%,Micronesia,11.0,t +17547,,Gibraltar,3.0,t +26503,,Netherlands Antilles,1.0,t +42823,100%,China,1.0,f +23942,,Uganda,1.0,f +26254,100%,Gambia,3.0,f +21217,75%,Nauru,1.0,f +39102,,Faroe Islands,1.0,t +19699,,Svalbard & Jan Mayen Islands,1.0,f +10646,50%,,1.0,f +77,50%,Monaco,2.0,f +32676,100%,China,34.0,f +32676,100%,China,34.0,f +32676,100%,China,34.0,f +32676,100%,China,34.0,f +33458,100%,Burundi,5.0,t +18496,,,1.0,f +13482,80%,Nauru,1.0,f +24093,88%,Ghana,5.0,f +14598,,Jersey,2.0,t +14514,,China,80.0,t +815,,France,2.0,f +39463,100%,Tunisia,2.0,f +33034,,Vietnam,1.0,f +49856,100%,,1.0,f +41678,,Ghana,1.0,f +4745,100%,Croatia,119.0,f +18459,100%,Zimbabwe,100.0,f +49312,100%,Gibraltar,1.0,f +32203,100%,Barbados,176.0,f +6785,90%,Tunisia,1.0,f +23034,99%,Monaco,54.0,f +44040,,Chad,1.0,f +20645,,Lithuania,1.0,f +11298,,Zimbabwe,1.0,f +4788,,Tonga,7.0,f +34042,100%,Marshall Islands,37.0,f +26705,100%,,1.0,t +35233,,Tanzania,1.0,t +35868,96%,Barbados,4.0,f +29234,100%,Togo,9.0,t +32929,,Chad,1.0,t +30786,,Uzbekistan,29.0,f +49326,100%,Isle of Man,1.0,f +48963,,Tunisia,1.0,f +7158,,,2.0,f +7158,,,2.0,f +18459,100%,Zimbabwe,100.0,f +49565,92%,Uganda,14.0,f +3015,100%,Nicaragua,3.0,f +47179,,Marshall Islands,1.0,f +29978,89%,Uzbekistan,26.0,f +34042,100%,Marshall Islands,37.0,f +32834,100%,Faroe Islands,2.0,f +490,100%,Bosnia and Herzegovina,6.0,f +29978,89%,Uzbekistan,26.0,f +10191,100%,Lebanon,2.0,f +43195,90%,Wallis and Futuna,2.0,f +29978,89%,Uzbekistan,26.0,f +29978,89%,Uzbekistan,26.0,f +49392,,,1.0,f +8602,100%,,1.0,f +7199,100%,Gambia,1.0,f +24332,100%,Mauritania,2.0,t +42274,100%,Faroe Islands,2.0,t +30187,100%,Marshall Islands,2.0,f +9939,100%,Philippines,24.0,f +20835,100%,Gibraltar,3.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +25882,,Nicaragua,1.0,f +4746,100%,Uzbekistan,1.0,t +42198,100%,,2.0,f +909,100%,Croatia,18.0,t +19541,100%,,1.0,f +31411,100%,Denmark,1.0,f +24343,,,1.0,f +34489,100%,Lebanon,1.0,t +30128,,Estonia,1.0,f +7672,,Rwanda,1.0,f +3587,100%,Russian Federation,1.0,f +1959,,,1.0,t +38878,100%,,2.0,f +28925,100%,Cape Verde,2.0,f +12547,100%,Slovakia (Slovak Republic),2.0,f +30787,100%,,2.0,t +9147,100%,,4.0,f +3759,100%,France,1.0,t +14514,,China,80.0,t +44565,100%,Faroe Islands,1.0,f +32499,100%,Niue,1.0,f +454,70%,Netherlands,2.0,f +26292,100%,Jersey,2.0,t +23143,65%,Bouvet Island (Bouvetoya),14.0,f +40263,,Nauru,3.0,f +5059,100%,Rwanda,1.0,f +23789,100%,Uzbekistan,1.0,f +16047,80%,Uzbekistan,6.0,f +48576,100%,Lebanon,1.0,t +13318,100%,Gambia,2.0,t +24593,40%,Papua New Guinea,1.0,t +31092,,Senegal,19.0,f +14445,,,1.0,f +48159,100%,Gambia,1.0,f +24103,100%,United Kingdom,3.0,f +23570,80%,,1.0,t +19560,100%,Nicaragua,2.0,t +16501,100%,,1.0,f +24231,,Philippines,1.0,t +8689,80%,Mauritania,1.0,f +30786,,Uzbekistan,29.0,f +4696,,Tonga,1.0,f +22281,100%,Micronesia,3.0,f +49080,100%,Zimbabwe,1.0,f +45801,,Sao Tome and Principe,2.0,t +26427,,Niue,1.0,t +9301,,,1.0,f +21687,100%,Senegal,1.0,f +16649,100%,Gibraltar,8.0,f +20974,100%,Anguilla,3.0,f +17794,56%,Malta,1.0,f +9693,100%,Vanuatu,8.0,f +9239,100%,Cuba,17.0,f +48791,97%,Uzbekistan,5.0,t +13315,100%,Niue,1.0,f +44437,,Zimbabwe,1.0,t +8082,100%,Togo,2.0,f +38035,,Venezuela,1.0,f +16530,100%,Senegal,3.0,f +43425,100%,Faroe Islands,1.0,f +45422,100%,,1.0,f +32676,100%,China,34.0,f +11823,70%,,7.0,f +1680,,Mauritania,1.0,f +5096,100%,Zimbabwe,1.0,t +3616,100%,Cape Verde,14.0,t +13401,,Kiribati,1.0,t +7992,100%,,1.0,f +13884,,,2.0,f +45044,50%,,1.0,t +24768,100%,Maldives,1.0,f +28856,,Gambia,1.0,f +2451,100%,,1.0,f +16224,83%,Palestinian Territory,1.0,t +30182,100%,Croatia,1.0,f +25363,100%,Brazil,1.0,f +41951,100%,Cuba,2.0,f +4316,100%,Micronesia,18.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +34073,,,1.0,f +20860,,Togo,1.0,f +15161,100%,,3.0,f +41082,100%,Senegal,3.0,f +16773,80%,Niue,2.0,t +14132,100%,Canada,3.0,f +15161,100%,,3.0,f +14132,100%,Canada,3.0,f +47581,75%,,3.0,f +7149,,El Salvador,2.0,f +5775,,Gambia,1.0,f +28957,0%,Turkmenistan,2.0,f +16040,100%,,1.0,f +29274,100%,Malawi,1.0,f +32653,100%,Ecuador,1.0,f +27481,,Brazil,1.0,f +17607,,,1.0,f +14514,,China,80.0,t +12879,100%,Costa Rica,1.0,t +48377,50%,,3.0,f +20956,43%,Rwanda,8.0,f +6311,,Gambia,1.0,t +48377,50%,,3.0,f +29173,,Afghanistan,1.0,t +44360,,Jersey,1.0,f +44159,70%,Uzbekistan,1.0,f +27255,,Niue,1.0,f +20956,43%,Rwanda,8.0,f +48432,100%,Isle of Man,2.0,f +12221,90%,,2.0,f +27469,100%,Marshall Islands,3.0,f +40498,100%,Indonesia,1.0,f +16707,100%,Uzbekistan,1.0,f +48566,,Sao Tome and Principe,2.0,t +39622,90%,Venezuela,2.0,f +45138,79%,Barbados,14.0,f +8242,100%,Estonia,1.0,f +48566,,Sao Tome and Principe,2.0,t +40263,,Nauru,3.0,f +30786,,Uzbekistan,29.0,f +11577,100%,Equatorial Guinea,9.0,t +46949,100%,Tunisia,4.0,f +24097,,,1.0,f +42281,100%,Marshall Islands,39.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +29685,100%,,1.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +7894,100%,Ukraine,10.0,f +42281,100%,Marshall Islands,39.0,f +41824,100%,Nicaragua,1.0,f +29374,100%,Nicaragua,1.0,f +20434,90%,Denmark,1.0,f +41224,100%,Mauritania,3.0,t +2246,0%,,1.0,f +46491,,Venezuela,12.0,t +44438,,Niue,2.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +46681,,,1.0,f +31309,,Slovakia (Slovak Republic),1.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +3775,100%,Uzbekistan,2.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +12137,99%,Sao Tome and Principe,33.0,t +35702,,,1.0,f +32942,,Pakistan,6.0,f +14388,,Philippines,1.0,t +46491,,Venezuela,12.0,t +32942,,Pakistan,6.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +10909,100%,Turks and Caicos Islands,3.0,t +48951,94%,Venezuela,1.0,f +16792,100%,Senegal,2.0,f +7431,100%,,2.0,f +43935,100%,Puerto Rico,1.0,f +1075,100%,,2.0,t +3389,100%,Estonia,13.0,f +17688,100%,Sao Tome and Principe,2.0,t +33623,100%,Nicaragua,1.0,f +28772,100%,Niger,15.0,t +40130,100%,Kiribati,2.0,f +28072,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +35070,100%,,3.0,f +45552,93%,Nicaragua,12.0,t +18077,100%,Sao Tome and Principe,139.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +39182,100%,Jersey,1.0,f +31170,,Wallis and Futuna,1.0,f +34429,100%,Mauritania,2.0,t +23989,100%,Russian Federation,3.0,t +11300,,,2.0,t +29608,,,1.0,f +45948,,Gambia,1.0,f +36770,,,1.0,f +18719,,,1.0,f +29234,100%,Togo,9.0,t +6828,,Faroe Islands,1.0,f +17108,100%,Kiribati,3.0,f +43496,100%,Montserrat,18.0,t +19518,,Faroe Islands,1.0,f +18078,100%,Montserrat,13.0,t +12195,,Mexico,1.0,f +37435,67%,El Salvador,1.0,f +20334,99%,Niger,171.0,t +24918,100%,Micronesia,1.0,f +34592,100%,Bahrain,1.0,f +33150,100%,Malta,1.0,f +9476,,French Guiana,1.0,t +31160,100%,Bosnia and Herzegovina,2.0,f +16548,90%,,2.0,f +9363,95%,Ukraine,50.0,f +815,,France,2.0,f +18736,90%,,5.0,f +18736,90%,,5.0,f +18736,90%,,5.0,f +18736,90%,,5.0,f +18736,90%,,5.0,f +46017,75%,,1.0,f +19214,100%,Senegal,55.0,f +49919,,Palestinian Territory,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +12917,100%,Kiribati,1.0,f +22004,,Vanuatu,1.0,t +46099,98%,Uzbekistan,28.0,f +45838,100%,Nicaragua,1.0,f +18825,,,2.0,t +32942,,Pakistan,6.0,f +32942,,Pakistan,6.0,f +31211,,,1.0,f +29967,94%,Reunion,5.0,f +6361,,,1.0,f +24440,100%,Uruguay,1.0,f +3280,100%,Isle of Man,2.0,t +7009,100%,Isle of Man,9.0,f +48117,98%,Ukraine,41.0,f +5420,100%,Tonga,41.0,f +32312,100%,Peru,1.0,f +3931,,Bouvet Island (Bouvetoya),1.0,t +42221,100%,Monaco,1.0,f +8423,100%,,3.0,t +10312,,,1.0,f +23522,100%,Zimbabwe,1.0,f +41327,100%,Zimbabwe,2.0,t +33010,100%,Rwanda,3.0,t +40687,,Russian Federation,1.0,f +9310,70%,Gambia,1.0,f +10006,100%,Tanzania,1.0,t +41928,87%,Nicaragua,9.0,f +32777,100%,,1.0,t +36742,,Isle of Man,2.0,f +3139,,,1.0,f +29540,,Turkmenistan,1.0,t +20261,,Rwanda,1.0,t +12824,33%,Niue,1.0,f +42645,100%,China,2.0,f +13974,,Russian Federation,2.0,f +28771,,Greenland,1.0,f +5207,100%,Estonia,1.0,f +21472,88%,,2.0,t +21472,88%,,2.0,t +4364,100%,Uganda,1.0,f +37959,100%,Cape Verde,1.0,f +15161,100%,,3.0,f +43756,,Bouvet Island (Bouvetoya),1.0,f +47970,100%,Ukraine,1.0,t +16520,100%,Marshall Islands,22.0,f +45586,,Micronesia,1.0,f +24306,,Lebanon,1.0,t +35879,100%,Cape Verde,2.0,f +41276,,France,1.0,t +45810,,,1.0,f +34713,,,2.0,f +2644,100%,Zimbabwe,11.0,t +33147,100%,Uzbekistan,2.0,t +29382,100%,Ghana,4.0,f +8470,88%,Marshall Islands,1.0,f +21820,100%,,1.0,t +21552,,Nicaragua,6.0,f +29796,100%,Peru,1.0,t +19689,,Lithuania,2.0,t +36420,,Barbados,1.0,f +48117,98%,Ukraine,41.0,f +1085,,Nicaragua,1.0,f +36875,100%,,1.0,f +39520,100%,Tanzania,1.0,f +8525,,Sao Tome and Principe,2.0,f +6887,100%,Faroe Islands,2.0,f +15884,100%,,1.0,f +26767,87%,,2.0,f +35536,,Ghana,1.0,t +29010,100%,Gambia,1.0,f +16266,90%,,3.0,f +49516,,Uzbekistan,1.0,t +37209,,Rwanda,1.0,t +21004,100%,Venezuela,1.0,f +33535,,Micronesia,1.0,f +24843,100%,Venezuela,4.0,t +17335,,,1.0,f +356,99%,Wallis and Futuna,32.0,t +6277,100%,Estonia,6.0,f +28529,,Gambia,2.0,f +46579,100%,Micronesia,1.0,f +49379,100%,,2.0,f +28102,,,1.0,f +45162,,Maldives,20.0,f +21240,94%,Niger,130.0,f +25953,100%,Uzbekistan,1.0,t +42237,100%,Sao Tome and Principe,1.0,f +9443,94%,Morocco,97.0,f +13127,100%,Niger,22.0,f +32935,,Ghana,40.0,f +40473,100%,,1.0,f +31202,90%,Kiribati,107.0,f +23734,0%,Uganda,1.0,t +31202,90%,Kiribati,107.0,f +9443,94%,Morocco,97.0,f +19590,,Sao Tome and Principe,1.0,t +286,92%,Morocco,50.0,t +8211,,Russian Federation,1.0,f +20263,99%,Maldives,35.0,t +31202,90%,Kiribati,107.0,f +32876,67%,Micronesia,1.0,f +18459,100%,Zimbabwe,100.0,f +3595,100%,Tanzania,2.0,t +35858,,Kenya,1.0,t +31396,90%,Ecuador,1.0,f +7409,90%,Kiribati,1.0,f +222,89%,,16.0,f +2118,,Reunion,1.0,f +35625,98%,Estonia,25.0,t +5505,,United Kingdom,1.0,t +47511,,Bosnia and Herzegovina,1.0,t +26457,100%,Monaco,4.0,t +13641,85%,Mauritania,23.0,f +32935,,Ghana,40.0,f +12740,100%,Nauru,1.0,f +5420,100%,Tonga,41.0,f +16658,,Somalia,1.0,t +7182,100%,,1.0,t +15825,90%,French Guiana,4.0,t +17322,95%,,30.0,f +17322,95%,,30.0,f +16951,,Niue,1.0,f +31271,,France,1.0,f +31202,90%,Kiribati,107.0,f +11924,,,3.0,f +28589,100%,Bosnia and Herzegovina,5.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +16489,100%,Russian Federation,42.0,t +39683,100%,,1.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +6168,,Bouvet Island (Bouvetoya),14.0,t +6168,,Bouvet Island (Bouvetoya),14.0,t +3804,100%,Faroe Islands,1.0,f +21675,100%,Tonga,2.0,f +22251,100%,Gambia,11.0,f +39279,,Rwanda,3.0,f +41005,100%,Ukraine,4.0,f +48104,100%,Niue,1.0,f +32441,,Christmas Island,1.0,f +48540,100%,Tanzania,2.0,f +48540,100%,Tanzania,2.0,f +47046,100%,Lebanon,9.0,f +8098,100%,Niue,1.0,f +18290,100%,,2.0,f +15207,100%,Russian Federation,1.0,f +18205,100%,Cuba,21.0,f +10422,,Sao Tome and Principe,1.0,f +14651,100%,Rwanda,1.0,f +30786,,Uzbekistan,29.0,f +13938,,Brazil,1.0,f +757,83%,,2.0,f +38173,100%,Cocos (Keeling) Islands,1.0,t +23726,100%,Malta,1.0,f +35571,,Bosnia and Herzegovina,3.0,t +22995,90%,,7.0,f +47188,100%,Senegal,1.0,f +17767,,Bosnia and Herzegovina,1.0,t +42051,100%,Nicaragua,11.0,t +20996,100%,Palestinian Territory,2.0,f +43711,100%,Rwanda,1.0,f +341,,Malta,1.0,t +18459,100%,Zimbabwe,100.0,f +2743,97%,China,23.0,f +21767,100%,Nauru,1.0,f +49160,,Estonia,1.0,f +42653,,,2.0,f +15129,,Niue,1.0,f +43505,75%,Canada,1.0,f +31064,,Bouvet Island (Bouvetoya),1.0,f +49738,,Maldives,1.0,f +30786,,Uzbekistan,29.0,f +32038,100%,Indonesia,35.0,f +32203,100%,Barbados,176.0,f +3274,86%,Barbados,24.0,f +35629,,Ghana,1.0,f +4217,,Kenya,52.0,f +1310,83%,Barbados,5.0,f +1572,90%,,2.0,f +26205,,Faroe Islands,1.0,f +9661,,Lebanon,1.0,f +22331,99%,Rwanda,50.0,t +3288,100%,,1.0,t +1642,100%,Marshall Islands,17.0,f +13451,100%,,3.0,f +909,100%,Croatia,18.0,t +16731,80%,,1.0,f +26443,,Guinea,3.0,f +26405,100%,,1.0,t +16128,,Faroe Islands,1.0,f +32203,100%,Barbados,176.0,f +49058,80%,French Guiana,1.0,f +20281,100%,,1.0,f +32203,100%,Barbados,176.0,f +9776,100%,Nicaragua,1.0,f +17457,90%,,2.0,f +29237,,,1.0,t +31863,,Estonia,2.0,f +27753,100%,Uganda,3.0,f +29957,,Gambia,2.0,f +42272,100%,Andorra,1.0,f +45436,100%,Tonga,2.0,f +31959,,Rwanda,4.0,f +42120,0%,,1.0,f +3577,100%,Palestinian Territory,1.0,t +28658,,,1.0,f +7443,94%,Pakistan,4.0,f +32203,100%,Barbados,176.0,f +18078,100%,Montserrat,13.0,t +26532,83%,Finland,1.0,t +41910,100%,Slovakia (Slovak Republic),5.0,f +18916,50%,Holy See (Vatican City State),1.0,t +8707,73%,Rwanda,21.0,t +7358,100%,French Polynesia,3.0,f +45260,94%,,19.0,f +45260,94%,,19.0,f +11603,100%,Gambia,1.0,f +25934,100%,Estonia,7.0,f +27618,,,1.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +47365,100%,Lebanon,1.0,f +25706,100%,Isle of Man,1.0,f +3694,,,1.0,t +20165,94%,Ukraine,30.0,f +45541,,Mauritania,1.0,f +7634,100%,Nicaragua,2.0,f +11515,100%,Cook Islands,16.0,f +2847,25%,,1.0,f +47570,100%,Marshall Islands,1.0,t +22216,20%,Peru,2.0,t +15597,,Niue,2.0,f +3191,,Isle of Man,1.0,f +1602,,,3.0,f +32096,100%,Gibraltar,2.0,t +13437,100%,Jersey,1.0,f +30786,,Uzbekistan,29.0,f +27753,100%,Uganda,3.0,f +29289,100%,Kiribati,1.0,f +12088,100%,Kiribati,8.0,f +3274,86%,Barbados,24.0,f +30786,,Uzbekistan,29.0,f +355,80%,China,9.0,t +13070,100%,Fiji,45.0,f +12054,,Kiribati,4.0,t +31358,,,1.0,f +18708,,Uzbekistan,1.0,f +48291,,Bosnia and Herzegovina,2.0,f +8224,98%,Estonia,12.0,f +29669,100%,,1.0,f +2344,,Vanuatu,1.0,f +3178,,Pakistan,1.0,t +10182,100%,,2.0,f +11986,,,1.0,f +16520,100%,Marshall Islands,22.0,f +19963,86%,Finland,2.0,t +41005,100%,Ukraine,4.0,f +49565,92%,Uganda,14.0,f +40032,100%,El Salvador,16.0,f +8200,,,1.0,f +20334,99%,Niger,171.0,t +43184,100%,United Kingdom,1.0,t +6957,,Rwanda,1.0,t +8031,,Vanuatu,1.0,f +29123,100%,Zimbabwe,16.0,t +18077,100%,Sao Tome and Principe,139.0,f +9395,,Guernsey,4.0,f +28828,100%,Isle of Man,198.0,t +12488,,China,2.0,f +45688,,Kenya,10.0,f +18787,100%,,1.0,t +40421,96%,Jersey,29.0,t +20334,99%,Niger,171.0,t +45024,,Brazil,1.0,f +13596,,Afghanistan,1.0,f +18459,100%,Zimbabwe,100.0,f +13760,93%,Anguilla,1.0,f +18459,100%,Zimbabwe,100.0,f +18233,,Marshall Islands,1.0,f +43011,100%,Wallis and Futuna,6.0,f +16243,,Lebanon,3.0,f +15597,,Niue,2.0,f +21474,100%,Niger,1.0,f +43011,100%,Wallis and Futuna,6.0,f +6967,100%,Russian Federation,1.0,f +43011,100%,Wallis and Futuna,6.0,f +1602,,,3.0,f +27484,100%,Bosnia and Herzegovina,1.0,t +49840,,Canada,1.0,f +43011,100%,Wallis and Futuna,6.0,f +1602,,,3.0,f +48549,100%,France,2.0,f +34042,100%,Marshall Islands,37.0,f +40179,,,1.0,t +20334,99%,Niger,171.0,t +35446,100%,Lithuania,1.0,f +39892,100%,Tonga,31.0,t +18484,100%,Gambia,108.0,f +1948,63%,Rwanda,3.0,f +2615,100%,Maldives,2.0,t +27972,94%,Brazil,27.0,f +46061,100%,Uganda,2.0,t +24473,,Costa Rica,17.0,f +23020,94%,Russian Federation,4.0,t +30239,100%,Sao Tome and Principe,1.0,f +16998,100%,Bahrain,2.0,f +11181,100%,,2.0,f +27861,,Sao Tome and Principe,2.0,f +11903,,Nauru,1.0,f +34171,100%,Anguilla,6.0,f +32251,,,1.0,f +9064,100%,Zimbabwe,1.0,f +13417,100%,Pakistan,8.0,t +39594,,Sao Tome and Principe,3.0,f +22926,,Niue,1.0,t +36461,,Anguilla,1.0,f +40821,100%,Maldives,1.0,f +35806,,Niue,3.0,f +43590,100%,Costa Rica,9.0,f +18978,,Anguilla,1.0,t +44028,,Cape Verde,13.0,f +16992,90%,,1.0,f +37409,100%,,1.0,f +7924,60%,,1.0,t +49032,100%,Estonia,2.0,f +18040,100%,Gambia,1.0,f +18484,100%,Gambia,108.0,f +14358,100%,Maldives,9.0,f +14567,100%,Mauritania,2.0,f +20532,90%,,7.0,f +8998,,Bosnia and Herzegovina,4.0,t +29647,100%,Peru,1305.0,f +13177,100%,,2.0,t +10674,100%,Marshall Islands,2.0,t +48808,100%,Sao Tome and Principe,1.0,f +31092,,Senegal,19.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +35735,,Rwanda,1.0,f +47861,100%,Montserrat,1.0,f +7345,,Svalbard & Jan Mayen Islands,1.0,f +9768,,,3.0,f +5935,,Maldives,1.0,t +25292,100%,Reunion,1.0,f +45226,100%,Venezuela,2.0,t +14358,100%,Maldives,9.0,f +9768,,,3.0,f +1673,50%,Uganda,2.0,f +45533,100%,Vanuatu,1.0,f +19702,,,1.0,f +10773,,Papua New Guinea,1.0,t +20310,100%,Andorra,1.0,f +11038,,Lebanon,2.0,t +33950,100%,Gambia,1.0,t +1673,50%,Uganda,2.0,f +22656,,Montserrat,1.0,f +30786,,Uzbekistan,29.0,f +32203,100%,Barbados,176.0,f +38893,100%,Tonga,1.0,f +21283,100%,Kenya,2.0,f +13687,100%,United Kingdom,1.0,f +6847,100%,Vietnam,4.0,f +5386,100%,,3.0,f +6874,100%,Guinea,2.0,f +38944,,Russian Federation,1.0,f +14358,100%,Maldives,9.0,f +44966,100%,Guinea,21.0,f +47628,100%,El Salvador,2.0,t +36299,100%,Rwanda,13.0,t +19019,97%,Nicaragua,1484.0,f +1438,100%,Chile,1.0,t +5509,100%,Uzbekistan,1.0,f +32662,100%,Svalbard & Jan Mayen Islands,1.0,t +34540,100%,Rwanda,2.0,f +6040,,El Salvador,1.0,f +39952,100%,Tonga,21.0,f +26299,33%,Turkmenistan,1.0,f +21822,100%,Monaco,2.0,t +40695,,Niue,1.0,t +34937,100%,Malawi,2.0,t +24807,100%,Malawi,1.0,t +18247,95%,Iran,80.0,t +42088,100%,,1.0,f +44051,100%,,2.0,f +14567,100%,Mauritania,2.0,f +10718,100%,Guinea,6.0,f +10718,100%,Guinea,6.0,f +22461,100%,Turks and Caicos Islands,4.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +6004,90%,Micronesia,4.0,f +47720,,Malta,1.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +6446,,Chad,1.0,f +40847,,,1.0,f +5194,,Sao Tome and Principe,2.0,f +48574,,,2.0,t +49965,100%,Kenya,5.0,t +22686,100%,French Polynesia,1.0,t +42605,100%,Kiribati,1.0,f +9599,100%,,1.0,f +41791,100%,Tunisia,1.0,t +49842,100%,Gibraltar,1.0,f +24118,98%,Ghana,21.0,t +46088,,Ghana,15.0,f +42054,100%,Guinea,2.0,f +46088,,Ghana,15.0,f +4149,,Russian Federation,1.0,f +1016,100%,French Guiana,1.0,t +11553,,,1.0,f +24867,90%,Bosnia and Herzegovina,5.0,f +29694,100%,,1.0,t +44037,100%,Niue,1.0,f +13057,100%,Ukraine,1.0,f +35513,100%,United Kingdom,1.0,f +13884,,,2.0,f +35769,100%,Montserrat,1.0,f +38019,100%,Afghanistan,10.0,f +24071,100%,Indonesia,22.0,f +41113,,Congo,1.0,t +2286,,Denmark,1.0,f +7881,100%,Niue,6.0,t +41509,,Mauritania,5.0,t +26921,98%,Nicaragua,6.0,t +34598,100%,French Guiana,2.0,t +26488,100%,Isle of Man,10.0,f +31384,,Togo,1.0,f +30309,60%,Cape Verde,2.0,t +48682,100%,Isle of Man,4.0,f +40451,100%,Togo,6.0,f +48508,100%,Marshall Islands,2.0,f +18398,100%,Niue,2.0,f +35254,,Niue,2.0,f +39716,100%,,1.0,t +28828,100%,Isle of Man,198.0,t +32300,,France,1.0,t +36064,,Russian Federation,1.0,f +15825,90%,French Guiana,4.0,t +24258,100%,Malta,1.0,f +26488,100%,Isle of Man,10.0,f +15542,,Denmark,1.0,f +35560,,Gambia,2.0,f +43567,100%,Afghanistan,1.0,f +44169,97%,Portugal,39.0,f +31752,0%,Russian Federation,1.0,f +38375,100%,El Salvador,2.0,f +29155,,Sao Tome and Principe,1.0,t +28957,0%,Turkmenistan,2.0,f +26488,100%,Isle of Man,10.0,f +3720,,Congo,1.0,f +17030,100%,Croatia,5.0,f +41271,100%,,2.0,t +14410,100%,,1.0,t +39303,,Guernsey,1.0,f +29158,67%,,2.0,f +9636,100%,,1.0,f +17795,100%,Uzbekistan,11.0,t +25068,100%,Tonga,1.0,f +37316,,,1.0,t +16235,100%,,1.0,f +43871,0%,Puerto Rico,3.0,f +46991,0%,Nauru,1.0,t +24972,100%,Brazil,1.0,f +35914,100%,China,1.0,t +43871,0%,Puerto Rico,3.0,f +40355,96%,Maldives,8.0,t +9006,,Estonia,1.0,f +20286,,,1.0,f +15877,,,1.0,t +40339,97%,Marshall Islands,2.0,t +6140,100%,Marshall Islands,3.0,f +40889,100%,Guinea,3.0,f +13403,96%,Maldives,21.0,t +50034,100%,Ghana,1.0,t +17820,100%,Montserrat,8.0,f +43798,100%,El Salvador,4.0,t +38071,80%,Zimbabwe,4.0,f +24118,98%,Ghana,21.0,t +40355,96%,Maldives,8.0,t +19321,100%,,2.0,f +32203,100%,Barbados,176.0,f +5453,,Philippines,1.0,f +49965,100%,Kenya,5.0,t +4593,100%,Vanuatu,1.0,f +12525,100%,,1.0,f +45991,100%,Sao Tome and Principe,1.0,f +36546,86%,Ghana,3.0,f +5686,,Netherlands,1.0,f +20595,100%,Marshall Islands,1.0,f +7174,100%,United Kingdom,1.0,t +40355,96%,Maldives,8.0,t +40355,96%,Maldives,8.0,t +4745,100%,Croatia,119.0,f +14390,100%,El Salvador,1.0,f +3676,100%,Marshall Islands,1.0,f +4745,100%,Croatia,119.0,f +19669,,Lebanon,1.0,f +19602,100%,Lithuania,24.0,f +39950,,Tonga,2.0,f +49163,,Guinea,1.0,f +8979,100%,Micronesia,9.0,t +26386,100%,Fiji,25.0,t +26386,100%,Fiji,25.0,t +42675,100%,Montserrat,1.0,f +18929,78%,,1.0,t +32372,90%,Ghana,5.0,f +48455,89%,Uzbekistan,20.0,t +47416,,Bosnia and Herzegovina,2.0,f +22400,100%,Zimbabwe,1.0,f +27226,100%,Congo,10.0,f +14069,100%,Mauritania,1.0,t +41799,50%,Maldives,7.0,f +8312,100%,Togo,1.0,f +35959,100%,Malta,1.0,t +32038,100%,Indonesia,35.0,f +7839,100%,,2.0,f +20767,,,1.0,t +34763,100%,Russian Federation,4.0,f +34593,50%,Maldives,1.0,f +30786,,Uzbekistan,29.0,f +32038,100%,Indonesia,35.0,f +21797,100%,Monaco,1.0,f +19623,100%,Faroe Islands,1.0,f +39312,94%,Monaco,4.0,t +22660,80%,,1.0,t +41799,50%,Maldives,7.0,f +8632,100%,Tonga,1.0,f +34042,100%,Marshall Islands,37.0,f +42281,100%,Marshall Islands,39.0,f +4217,,Kenya,52.0,f +34171,100%,Anguilla,6.0,f +7071,,Ecuador,1.0,f +28717,100%,Chad,2.0,t +25577,100%,Marshall Islands,2.0,f +7066,,Anguilla,1.0,f +45141,100%,Tonga,1.0,t +29839,100%,Antigua and Barbuda,4.0,f +23977,100%,Malta,3.0,f +18167,,Sao Tome and Principe,2.0,t +16732,100%,,1.0,f +27210,,Zimbabwe,1.0,f +45970,100%,Gibraltar,1.0,t +47529,,Brazil,1.0,f +30804,93%,Andorra,2.0,f +49032,100%,Estonia,2.0,f +28894,100%,Nicaragua,2.0,f +26386,100%,Fiji,25.0,t +45260,94%,,19.0,f +45260,94%,,19.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +8494,,,2.0,f +8083,,Guinea,1.0,f +23793,,,1.0,f +30738,86%,Jersey,1.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +28096,,Faroe Islands,1.0,t +22594,100%,Rwanda,12.0,f +21718,,,2.0,f +15286,,Uzbekistan,1.0,f +34042,100%,Marshall Islands,37.0,f +22367,100%,Canada,3.0,t +20334,99%,Niger,171.0,t +28828,100%,Isle of Man,198.0,t +30786,,Uzbekistan,29.0,f +8355,87%,Togo,16.0,f +13276,90%,United Kingdom,5.0,t +4217,,Kenya,52.0,f +1583,,Russian Federation,1.0,f +26386,100%,Fiji,25.0,t +22281,100%,Micronesia,3.0,f +32151,100%,Ecuador,1.0,f +39394,100%,Lithuania,1.0,f +37270,100%,Cuba,2.0,f +32935,,Ghana,40.0,f +5386,100%,,3.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +5386,100%,,3.0,f +4788,,Tonga,7.0,f +46285,100%,Turkmenistan,3.0,t +31501,,China,1.0,f +31438,100%,Nicaragua,5.0,t +24671,,Ghana,10.0,f +19019,97%,Nicaragua,1484.0,f +34766,50%,Montserrat,2.0,f +12175,90%,Venezuela,1.0,f +24291,90%,Nicaragua,1.0,f +35721,100%,,1.0,f +18116,89%,Ecuador,1.0,f +38649,100%,Ecuador,3.0,t +19958,100%,Congo,40.0,t +44953,100%,Tunisia,2.0,f +4189,70%,,1.0,f +47318,,Brazil,1.0,f +24775,97%,Montserrat,44.0,f +24775,97%,Montserrat,44.0,f +4898,100%,Kiribati,1.0,f +24775,97%,Montserrat,44.0,f +24775,97%,Montserrat,44.0,f +35449,83%,Pakistan,1.0,t +35090,100%,Niger,2.0,f +17082,,French Guiana,1.0,t +45737,,Tonga,29.0,t +9693,100%,Vanuatu,8.0,f +5880,,,2.0,f +45357,100%,,1.0,t +22528,,,1.0,t +31578,,,1.0,t +36418,,,1.0,f +47156,,,1.0,f +34127,100%,Uzbekistan,1.0,f +25781,100%,Niue,1.0,f +39529,,Croatia,2.0,t +6893,,Uganda,2.0,f +25961,81%,,1.0,f +38103,80%,Isle of Man,2.0,f +42998,60%,Svalbard & Jan Mayen Islands,1.0,f +17167,100%,,1.0,f +19603,98%,Cuba,12.0,f +26488,100%,Isle of Man,10.0,f +22462,80%,,1.0,f +19603,98%,Cuba,12.0,f +39046,,Jersey,1.0,f +19603,98%,Cuba,12.0,f +35475,100%,,1.0,f +30541,100%,,1.0,t +25315,100%,Uganda,2.0,t +6341,100%,,1.0,f +17579,0%,Guinea,1.0,t +8210,100%,,1.0,f +5468,100%,Lao People's Democratic Republic,2.0,f +6112,100%,Russian Federation,1.0,f +3837,90%,,1.0,f +5273,,Slovakia (Slovak Republic),2.0,t +16755,,France,1.0,f +20535,,,1.0,f +2316,100%,Anguilla,1.0,f +45066,100%,Pakistan,1.0,f +7731,100%,Congo,1.0,f +18121,100%,Bouvet Island (Bouvetoya),8.0,f +17245,100%,Denmark,3.0,f +18670,,,1.0,f +45260,94%,,19.0,f +18121,100%,Bouvet Island (Bouvetoya),8.0,f +38282,,Tonga,5.0,f +8787,,Micronesia,5.0,f +26107,100%,Niue,3.0,f +13610,100%,Micronesia,1.0,f +35024,,Guinea,2.0,f +1005,,Russian Federation,1.0,t +35024,,Guinea,2.0,f +27378,100%,,1.0,t +16657,100%,Denmark,1.0,f +18036,100%,Marshall Islands,2.0,f +13409,100%,,1.0,t +15857,0%,,1.0,f +43578,90%,Kiribati,7.0,f +43578,90%,Kiribati,7.0,f +19781,,,1.0,t +41814,100%,,1.0,t +9495,70%,,6.0,f +9495,70%,,6.0,f +9495,70%,,6.0,f +9495,70%,,6.0,f +9495,70%,,6.0,f +41120,100%,Russian Federation,1.0,f +41005,100%,Ukraine,4.0,f +33297,100%,Croatia,2.0,t +6270,100%,Monaco,1.0,f +12078,75%,,1.0,t +7655,98%,Gambia,7.0,f +14514,,China,80.0,t +7892,100%,,1.0,f +10042,,Indonesia,21.0,f +34566,88%,,1.0,t +42140,100%,Togo,2.0,f +16371,95%,Bouvet Island (Bouvetoya),29.0,f +38555,,,1.0,t +29647,100%,Peru,1305.0,f +25595,100%,Chile,1.0,f +29647,100%,Peru,1305.0,f +23435,,Turks and Caicos Islands,1.0,f +29647,100%,Peru,1305.0,f +28772,100%,Niger,15.0,t +19958,100%,Congo,40.0,t +18459,100%,Zimbabwe,100.0,f +42100,93%,Guinea,2.0,f +28714,100%,Monaco,1.0,t +18484,100%,Gambia,108.0,f +11442,90%,Maldives,5.0,f +29683,100%,Tonga,1.0,t +11244,,Russian Federation,1.0,f +7640,100%,Tonga,2.0,f +4217,,Kenya,52.0,f +19842,85%,Turkmenistan,53.0,f +19842,85%,Turkmenistan,53.0,f +14236,,Bosnia and Herzegovina,4.0,t +36219,100%,Brazil,1.0,t +16158,100%,Monaco,1.0,f +13646,,,1.0,t +22594,100%,Rwanda,12.0,f +29916,100%,Niue,4.0,t +15767,100%,Denmark,6.0,t +40793,100%,,75.0,t +27565,0%,Niue,1.0,f +19041,100%,Indonesia,4.0,t +39952,100%,Tonga,21.0,f +44937,100%,Puerto Rico,19.0,t +10718,100%,Guinea,6.0,f +15847,,Uganda,13.0,f +42235,,Kiribati,1.0,f +10826,90%,Togo,2.0,f +46270,,Niue,1.0,t +42140,100%,Togo,2.0,f +15851,100%,,2.0,f +45162,,Maldives,20.0,f +12657,,Russian Federation,1.0,f +48137,80%,Guernsey,2.0,f +8655,100%,Isle of Man,1.0,f +18484,100%,Gambia,108.0,f +5408,,Maldives,1.0,f +42397,,Nicaragua,1.0,f +46982,93%,Denmark,2.0,f +18484,100%,Gambia,108.0,f +29244,67%,Micronesia,1.0,f +18101,100%,Marshall Islands,1.0,f +4940,100%,,2.0,f +43152,100%,Nicaragua,82.0,t +14757,100%,United Kingdom,2.0,t +17457,90%,,2.0,f +25144,,Lebanon,1.0,f +30328,90%,Kenya,1.0,f +23792,100%,Somalia,1.0,f +18459,100%,Zimbabwe,100.0,f +48133,,Isle of Man,45.0,f +1553,,,2.0,f +25687,100%,Anguilla,17.0,f +44937,100%,Puerto Rico,19.0,t +44937,100%,Puerto Rico,19.0,t +44937,100%,Puerto Rico,19.0,t +32203,100%,Barbados,176.0,f +15234,100%,Guinea,1.0,f +4446,100%,Uganda,58.0,f +34599,100%,Finland,1.0,f +17208,,Marshall Islands,1.0,f +46144,67%,,1.0,t +42388,,United Kingdom,1.0,f +7655,98%,Gambia,7.0,f +48133,,Isle of Man,45.0,f +22721,100%,Ecuador,109.0,f +13838,100%,Montserrat,10.0,f +23647,100%,Micronesia,5.0,f +34164,100%,Peru,1.0,f +41216,,Jersey,1.0,t +24145,67%,Pakistan,1.0,f +19603,98%,Cuba,12.0,f +35221,100%,Turks and Caicos Islands,30.0,t +39442,,,1.0,f +17820,100%,Montserrat,8.0,f +29743,,Micronesia,1.0,f +41928,87%,Nicaragua,9.0,f +37217,0%,Kiribati,4.0,f +22826,,Greenland,1.0,f +30087,,Bahrain,1.0,f +21886,,Croatia,5.0,t +20779,86%,Micronesia,1.0,t +14141,,Guinea,1.0,f +31556,100%,Zimbabwe,1.0,f +9495,70%,,6.0,f +17377,,Sao Tome and Principe,1.0,f +48092,100%,Tonga,5.0,f +28505,100%,,1.0,f +32877,,Anguilla,1.0,t +41291,,Brazil,3.0,f +4697,100%,Guinea,1.0,t +30807,100%,Rwanda,2.0,f +5013,100%,Libyan Arab Jamahiriya,1.0,f +30283,100%,Brazil,15.0,f +38913,,China,1.0,f +30283,100%,Brazil,15.0,f +6192,100%,,3.0,f +4239,,,1.0,f +44483,,,1.0,f +19958,100%,Congo,40.0,t +41026,100%,Senegal,1.0,f +27908,100%,Saint Barthelemy,3.0,t +4940,100%,,2.0,f +25708,100%,,1.0,f +36604,,Congo,1.0,f +24409,100%,Isle of Man,1.0,f +7778,100%,Mauritania,7.0,t +16784,100%,Turkmenistan,3.0,t +10349,100%,Afghanistan,1.0,f +18320,50%,Reunion,19.0,t +20411,100%,Pakistan,4.0,t +33761,100%,Venezuela,2.0,t +8993,100%,Papua New Guinea,1.0,t +12670,,Bosnia and Herzegovina,1.0,f +46513,,Isle of Man,1.0,f +13838,100%,Montserrat,10.0,f +25633,100%,Mauritania,1.0,t +17817,100%,Croatia,13.0,t +17817,100%,Croatia,13.0,t +13838,100%,Montserrat,10.0,f +11760,100%,Puerto Rico,2.0,f +17817,100%,Croatia,13.0,t +17817,100%,Croatia,13.0,t +13822,100%,Uganda,1.0,f +5151,,,1.0,f +33442,100%,Holy See (Vatican City State),2.0,f +22304,100%,,1.0,f +7832,100%,,1.0,f +41327,100%,Zimbabwe,2.0,t +22064,,Nicaragua,1.0,f +13838,100%,Montserrat,10.0,f +13838,100%,Montserrat,10.0,f +731,,Russian Federation,1.0,t +28023,100%,Reunion,1.0,t +9121,100%,Denmark,2.0,f +9121,100%,Denmark,2.0,f +44855,100%,Somalia,1.0,t +38223,100%,Nicaragua,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +9734,,Togo,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +32614,100%,Guinea,2.0,f +25039,,Saint Helena,7.0,t +16182,,,1.0,f +5676,,,1.0,t +843,,Uzbekistan,1.0,f +4726,90%,Micronesia,1.0,f +11104,100%,,3.0,t +33993,100%,Nicaragua,2.0,f +20947,,Faroe Islands,1.0,t +23700,100%,France,1.0,f +49103,80%,Rwanda,5.0,f +35574,100%,,1.0,f +485,80%,French Guiana,2.0,f +3102,100%,Marshall Islands,1.0,t +38928,59%,,2.0,t +45776,,Lebanon,2.0,t +23575,100%,Denmark,2.0,f +32276,100%,Kiribati,1.0,f +29005,100%,Peru,3.0,f +3871,,Turks and Caicos Islands,1.0,f +44597,,Chile,3.0,t +28602,100%,Mauritania,2.0,f +28042,100%,,1.0,t +19958,100%,Congo,40.0,t +37217,0%,Kiribati,4.0,f +38019,100%,Afghanistan,10.0,f +22721,100%,Ecuador,109.0,f +29774,,El Salvador,1.0,t +19958,100%,Congo,40.0,t +74,,,1.0,f +30845,100%,,1.0,f +36677,100%,Maldives,6.0,f +36911,100%,Portugal,2.0,f +24364,0%,,1.0,f +28003,,Palestinian Territory,1.0,f +2405,80%,Venezuela,1.0,t +33993,100%,Nicaragua,2.0,f +2553,100%,Turks and Caicos Islands,3.0,f +21760,100%,Brazil,1.0,f +37775,25%,Poland,4.0,t +48005,100%,Kiribati,1.0,f +14097,100%,,1.0,t +41512,100%,,1.0,f +37217,0%,Kiribati,4.0,f +21355,33%,,1.0,t +19169,,Sao Tome and Principe,1.0,t +1920,67%,Sao Tome and Principe,1.0,f +17358,100%,,3.0,f +48363,90%,,1.0,f +5037,100%,El Salvador,1.0,t +15697,80%,Finland,1.0,t +40502,,Turkmenistan,1.0,f +12036,100%,Gambia,1.0,f +2529,100%,,1.0,f +35058,100%,Tonga,4.0,t +17394,0%,Nicaragua,49.0,f +43798,100%,El Salvador,4.0,t +37217,0%,Kiribati,4.0,f +43661,100%,France,1.0,f +39595,80%,Uzbekistan,1.0,t +30659,100%,,1.0,t +3994,100%,Kenya,1.0,t +6850,100%,Faroe Islands,3.0,t +45320,,Estonia,2.0,f +47274,100%,Tonga,48.0,f +47319,,Lebanon,1.0,f +20113,,Tanzania,1.0,t +45099,,Mexico,1.0,f +37560,100%,Togo,2.0,f +39754,100%,Russian Federation,1.0,t +9112,100%,Papua New Guinea,1.0,f +2597,100%,Nicaragua,13.0,t +45420,,France,2.0,t +24772,90%,Denmark,10.0,f +43330,100%,French Guiana,1.0,f +23947,33%,Brazil,2.0,f +6529,,Kenya,2.0,f +8082,100%,Togo,2.0,f +40852,,,1.0,f +27810,,,1.0,t +26432,100%,Bosnia and Herzegovina,1.0,t +19895,,,1.0,f +31363,100%,Faroe Islands,1.0,t +9399,100%,,1.0,f +2102,67%,Gambia,2.0,f +28087,,Rwanda,1.0,f +32439,100%,,1.0,f +23341,,Croatia,2.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +18484,100%,Gambia,108.0,f +43008,98%,Costa Rica,5.0,f +1116,,Gambia,1.0,f +38201,100%,Russian Federation,1.0,f +2979,,Isle of Man,1.0,f +36329,,Zimbabwe,1.0,t +39489,,Kiribati,1.0,f +44937,100%,Puerto Rico,19.0,t +36557,,Indonesia,1.0,f +44937,100%,Puerto Rico,19.0,t +40414,95%,Somalia,4.0,f +29315,100%,Brazil,6.0,f +40364,100%,Tonga,25.0,f +44250,100%,United Kingdom,2.0,f +28346,,Jersey,3.0,t +20165,94%,Ukraine,30.0,f +36417,100%,Gambia,2.0,f +13785,100%,Kenya,1.0,f +19906,100%,Slovakia (Slovak Republic),1.0,f +34171,100%,Anguilla,6.0,f +4962,,,1.0,f +13872,,Faroe Islands,1.0,f +9862,100%,Russian Federation,1.0,t +47749,93%,Zimbabwe,1.0,f +46521,100%,Micronesia,1.0,f +12490,,French Guiana,1.0,f +27132,89%,,2.0,f +723,100%,Russian Federation,1.0,f +24067,,Mexico,3.0,t +49566,100%,Gambia,3.0,f +35707,,Madagascar,2.0,f +22216,20%,Peru,2.0,t +43152,100%,Nicaragua,82.0,t +30786,,Uzbekistan,29.0,f +41485,100%,,1.0,t +19830,,Sao Tome and Principe,2.0,f +44198,100%,Congo,1.0,t +13105,100%,Anguilla,2.0,f +28526,,Philippines,2.0,f +36209,100%,Chad,2.0,f +20715,,Isle of Man,1.0,f +40970,100%,Russian Federation,1.0,f +30814,0%,,1.0,f +46103,90%,Mauritania,2.0,f +14280,100%,,1.0,f +5360,,Niue,1.0,f +18910,100%,Mauritania,5.0,f +22813,90%,Uzbekistan,1.0,f +8092,100%,,1.0,f +40667,,Turkmenistan,4.0,f +4091,100%,Isle of Man,1.0,f +38606,,Bouvet Island (Bouvetoya),1.0,f +23738,100%,,1.0,t +2597,100%,Nicaragua,13.0,t +2597,100%,Nicaragua,13.0,t +8185,,Philippines,1.0,f +35058,100%,Tonga,4.0,t +25786,100%,Vanuatu,1.0,f +36229,89%,Togo,4.0,f +29414,100%,Jersey,1.0,t +27866,100%,Guinea,8.0,f +5625,,,1.0,t +14312,,Monaco,2.0,f +13765,100%,Gambia,2.0,f +19324,0%,Lebanon,1.0,t +18484,100%,Gambia,108.0,f +3243,100%,,2.0,f +41171,,Turkmenistan,1.0,f +32541,,,2.0,t +46119,,Reunion,1.0,f +34260,100%,United Kingdom,2.0,t +31515,,,1.0,f +17824,,Gambia,1.0,t +11567,100%,Niger,31.0,t +15228,,Malta,2.0,t +39555,100%,Marshall Islands,13.0,t +6659,100%,Isle of Man,2.0,t +42165,,Reunion,1.0,t +2665,100%,Faroe Islands,2.0,t +20334,99%,Niger,171.0,t +37840,100%,,1.0,f +9313,100%,Niue,1.0,f +11442,90%,Maldives,5.0,f +28828,100%,Isle of Man,198.0,t +19603,98%,Cuba,12.0,f +19603,98%,Cuba,12.0,f +47458,100%,,1.0,f +39404,,Mexico,7.0,f +44937,100%,Puerto Rico,19.0,t +37904,100%,,1.0,f +40408,,Niue,1.0,f +7655,98%,Gambia,7.0,f +23604,100%,Faroe Islands,1.0,f +43458,100%,Malawi,1.0,f +24872,,Malta,2.0,f +43337,100%,Russian Federation,1.0,f +21475,,French Guiana,2.0,t +22331,99%,Rwanda,50.0,t +19602,100%,Lithuania,24.0,f +27351,,Gambia,1.0,t +10042,,Indonesia,21.0,f +39628,100%,Guernsey,1.0,f +16023,,Zimbabwe,1.0,f +11442,90%,Maldives,5.0,f +9739,100%,Maldives,44.0,f +33465,100%,,1.0,f +42596,100%,Brazil,1.0,f +27883,100%,Cuba,11.0,f +36726,94%,Mexico,6.0,f +36209,100%,Chad,2.0,f +9739,100%,Maldives,44.0,f +23767,100%,Puerto Rico,2.0,t +9739,100%,Maldives,44.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +9739,100%,Maldives,44.0,f +29647,100%,Peru,1305.0,f +28940,,Libyan Arab Jamahiriya,1.0,f +17908,100%,Mexico,2.0,f +32328,100%,Malta,2.0,f +19887,,Micronesia,1.0,f +40479,100%,France,1.0,f +17943,,Uruguay,1.0,f +46088,,Ghana,15.0,f +30089,,United Kingdom,1.0,f +33875,,Canada,1.0,t +14784,25%,Portugal,1.0,f +41930,,Marshall Islands,1.0,f +20208,,Croatia,1.0,t +17416,88%,Turkmenistan,1.0,f +36550,,Togo,1.0,f +3691,,Djibouti,1.0,f +28346,,Jersey,3.0,t +36297,100%,Djibouti,1.0,f +33235,70%,France,2.0,t +7655,98%,Gambia,7.0,f +39354,,Lebanon,1.0,t +35058,100%,Tonga,4.0,t +43276,100%,,2.0,t +979,100%,Rwanda,1.0,f +26291,100%,Guinea,2.0,f +22250,100%,,4.0,f +18484,100%,Gambia,108.0,f +4769,,,1.0,f +44943,,Malta,1.0,t +11965,,Cocos (Keeling) Islands,2.0,f +42646,33%,Rwanda,4.0,f +35751,,Isle of Man,2.0,t +7184,77%,Reunion,13.0,f +43570,,Denmark,1.0,f +39143,89%,,33.0,f +18836,100%,,1.0,f +32804,,,1.0,f +33235,70%,France,2.0,t +9343,100%,Afghanistan,10.0,t +44350,,Montserrat,1.0,f +29964,90%,Chad,1.0,t +4217,,Kenya,52.0,f +3498,100%,Uzbekistan,1.0,f +26525,100%,Maldives,1.0,f +17693,100%,,1.0,t +26206,100%,Mexico,3.0,f +39404,,Mexico,7.0,f +20148,100%,Niue,1.0,t +28346,,Jersey,3.0,t +44937,100%,Puerto Rico,19.0,t +38322,100%,Sao Tome and Principe,1.0,f +32792,,Indonesia,12.0,f +39404,,Mexico,7.0,f +44937,100%,Puerto Rico,19.0,t +11442,90%,Maldives,5.0,f +44937,100%,Puerto Rico,19.0,t +26039,100%,,6.0,f +26039,100%,,6.0,f +26039,100%,,6.0,f +9739,100%,Maldives,44.0,f +26039,100%,,6.0,f +39404,,Mexico,7.0,f +23034,99%,Monaco,54.0,f +32372,90%,Ghana,5.0,f +26039,100%,,6.0,f +39404,,Mexico,7.0,f +9739,100%,Maldives,44.0,f +352,100%,Tanzania,1.0,f +9739,100%,Maldives,44.0,f +32935,,Ghana,40.0,f +9739,100%,Maldives,44.0,f +33545,100%,,16.0,f +23502,100%,Gambia,2.0,f +24198,25%,French Guiana,4.0,f +30216,98%,Maldives,34.0,f +35436,99%,Nicaragua,21.0,f +9239,100%,Cuba,17.0,f +30442,,Lithuania,1.0,f +7184,77%,Reunion,13.0,f +14186,,Palestinian Territory,2.0,f +49447,,Isle of Man,1.0,t +36546,86%,Ghana,3.0,f +3514,,Marshall Islands,1.0,f +29711,100%,United Kingdom,1.0,f +46142,,Croatia,1.0,f +8241,100%,Malta,2.0,f +35542,,,1.0,f +20521,,,7.0,t +3641,,,1.0,f +34720,,,1.0,t +15741,100%,Cuba,14.0,f +49864,0%,Gambia,1.0,f +8385,,French Guiana,1.0,f +33286,,Chad,1.0,t +7184,77%,Reunion,13.0,f +15847,,Uganda,13.0,f +42051,100%,Nicaragua,11.0,t +7184,77%,Reunion,13.0,f +9896,100%,Turkmenistan,2.0,f +31058,100%,Afghanistan,1.0,t +39891,100%,Russian Federation,1.0,f +23485,,,7.0,f +14260,,Greenland,1.0,f +23485,,,7.0,f +23485,,,7.0,f +1031,100%,Russian Federation,2.0,f +23485,,,7.0,f +23485,,,7.0,f +9915,,Brunei Darussalam,2.0,f +13838,100%,Montserrat,10.0,f +23485,,,7.0,f +13460,,Netherlands,1.0,f +8889,90%,,1.0,t +23485,,,7.0,f +44169,97%,Portugal,39.0,f +216,100%,El Salvador,45.0,t +34746,100%,,2.0,f +25445,70%,,2.0,f +46899,100%,France,1.0,f +15766,,,1.0,f +20420,0%,Jersey,1.0,t +13960,100%,,4.0,f +36229,89%,Togo,4.0,f +8183,,El Salvador,1.0,f +18955,90%,Denmark,3.0,f +47740,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29356,90%,Guinea,2.0,f +31776,100%,,1.0,f +33927,100%,Barbados,9.0,f +33881,100%,Djibouti,2.0,t +48425,100%,,3.0,f +32792,,Indonesia,12.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +33638,100%,Sao Tome and Principe,3.0,f +48073,100%,,9.0,f +48073,100%,,9.0,f +33304,,Malta,1.0,f +3284,100%,Kiribati,4.0,f +41737,100%,Russian Federation,1.0,f +3790,100%,Netherlands,16.0,f +24207,100%,Pakistan,3.0,f +35436,99%,Nicaragua,21.0,f +23469,100%,Nicaragua,116.0,f +8289,93%,,1.0,f +35436,99%,Nicaragua,21.0,f +22547,100%,Tonga,1.0,f +23469,100%,Nicaragua,116.0,f +11896,,Sao Tome and Principe,1.0,t +23469,100%,Nicaragua,116.0,f +6984,100%,Suriname,9.0,f +23469,100%,Nicaragua,116.0,f +34367,100%,Tanzania,2.0,f +23469,100%,Nicaragua,116.0,f +22251,100%,Gambia,11.0,f +32935,,Ghana,40.0,f +40072,100%,,1.0,f +22446,90%,Russian Federation,1.0,t +10793,,Holy See (Vatican City State),1.0,f +22590,100%,Sao Tome and Principe,1.0,f +14440,70%,Afghanistan,1.0,t +14575,,,1.0,f +37566,100%,Indonesia,4.0,f +22419,,United Kingdom,1.0,f +47557,,Tanzania,1.0,t +9739,100%,Maldives,44.0,f +28071,100%,Cape Verde,4.0,t +9739,100%,Maldives,44.0,f +46664,100%,Croatia,2.0,t +37566,100%,Indonesia,4.0,f +12214,100%,Monaco,1.0,t +9739,100%,Maldives,44.0,f +41777,0%,Peru,1.0,f +9739,100%,Maldives,44.0,f +48760,98%,Ghana,24.0,f +9739,100%,Maldives,44.0,f +20657,,Cuba,2.0,f +26390,98%,Zimbabwe,5.0,f +9739,100%,Maldives,44.0,f +25364,,Kiribati,1.0,f +9739,100%,Maldives,44.0,f +35436,99%,Nicaragua,21.0,f +33291,,Denmark,1.0,f +41996,86%,Togo,1.0,f +15847,,Uganda,13.0,f +24556,100%,Zimbabwe,1.0,t +42251,100%,Palestinian Territory,2.0,f +22761,,,1.0,f +33433,100%,Rwanda,9.0,f +29175,,Wallis and Futuna,1.0,f +31588,100%,Gambia,2.0,t +18733,,Guinea,1.0,f +31588,100%,Gambia,2.0,t +13838,100%,Montserrat,10.0,f +18528,96%,Anguilla,1.0,f +5297,,Guinea,1.0,f +41947,,Guernsey,1.0,f +27575,,,1.0,f +18710,,Costa Rica,1.0,f +11397,,,1.0,f +42328,93%,Russian Federation,14.0,f +25723,100%,Vietnam,3.0,t +32203,100%,Barbados,176.0,f +45498,100%,Indonesia,4.0,t +22308,100%,Kiribati,1.0,f +34763,100%,Russian Federation,4.0,f +30356,100%,Uganda,3.0,t +41385,,,1.0,t +19252,,,1.0,f +3942,100%,Svalbard & Jan Mayen Islands,1.0,f +32489,100%,Uganda,1.0,f +14186,,Palestinian Territory,2.0,f +9278,100%,Netherlands,10.0,f +37885,100%,United Kingdom,1.0,f +36299,100%,Rwanda,13.0,t +36299,100%,Rwanda,13.0,t +9739,100%,Maldives,44.0,f +26227,100%,Guinea,1.0,f +24673,0%,Indonesia,1.0,t +26873,,Marshall Islands,1.0,f +11255,93%,Suriname,41.0,f +26050,0%,Palestinian Territory,1.0,f +9739,100%,Maldives,44.0,f +22414,90%,,1.0,f +14531,100%,Tonga,3.0,f +27289,99%,Reunion,12.0,t +35440,100%,,3.0,f +24483,,,2.0,f +14514,,China,80.0,t +4676,,Lebanon,1.0,f +16372,100%,Saint Helena,3.0,f +6382,100%,,3.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +40689,100%,Cuba,23.0,f +49566,100%,Gambia,3.0,f +9739,100%,Maldives,44.0,f +40733,,French Guiana,1.0,f +49487,99%,Marshall Islands,6.0,f +9739,100%,Maldives,44.0,f +23372,100%,Niger,5.0,t +39952,100%,Tonga,21.0,f +16372,100%,Saint Helena,3.0,f +40260,100%,,1.0,f +25888,100%,Vanuatu,6.0,f +9648,,,1.0,f +29746,96%,Tonga,5.0,f +32096,100%,Gibraltar,2.0,t +25888,100%,Vanuatu,6.0,f +23840,,Guinea,1.0,f +20189,100%,Niger,4.0,f +41062,,Chile,1.0,t +6945,100%,Cuba,8.0,f +19605,50%,Gambia,1.0,f +2965,100%,Togo,1.0,f +10345,100%,,2.0,f +15187,,United Kingdom,1.0,t +7163,100%,Netherlands Antilles,1.0,f +49996,,Sao Tome and Principe,2.0,f +27289,99%,Reunion,12.0,t +44949,100%,El Salvador,1.0,f +22484,,Faroe Islands,1.0,f +14722,,Guinea,1.0,f +18275,90%,,2.0,t +33169,,Sao Tome and Principe,1.0,f +6894,80%,Estonia,47.0,t +25888,100%,Vanuatu,6.0,f +33307,,France,1.0,f +26039,100%,,6.0,f +25888,100%,Vanuatu,6.0,f +20165,94%,Ukraine,30.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +18604,100%,Kiribati,1.0,t +4854,100%,Monaco,1.0,f +22903,,El Salvador,1.0,t +9739,100%,Maldives,44.0,f +15599,,Ecuador,1.0,f +48455,89%,Uzbekistan,20.0,t +20334,99%,Niger,171.0,t +29413,,Guernsey,1.0,t +35879,100%,Cape Verde,2.0,f +14757,100%,United Kingdom,2.0,t +10920,100%,Kenya,2.0,t +20179,100%,Sao Tome and Principe,1.0,t +13364,91%,Netherlands,21.0,f +47613,100%,Denmark,2.0,t +3387,100%,Gambia,2.0,f +14622,,Isle of Man,1.0,t +13364,91%,Netherlands,21.0,f +34918,,Kiribati,1.0,t +25039,,Saint Helena,7.0,t +9739,100%,Maldives,44.0,f +16082,100%,Sao Tome and Principe,2.0,f +14626,,Niue,1.0,f +1124,100%,Jersey,2.0,f +4837,100%,Christmas Island,1.0,t +9510,100%,Chile,1.0,f +31522,97%,Niger,5.0,t +35839,,Russian Federation,2.0,f +541,93%,Marshall Islands,17.0,f +34762,100%,Isle of Man,3.0,t +23769,100%,Denmark,2.0,f +1820,100%,El Salvador,2.0,f +20072,,Jersey,1.0,f +10453,100%,,1.0,f +11551,,,3.0,f +23104,,Malta,1.0,t +11651,100%,Saint Pierre and Miquelon,2.0,f +36806,,El Salvador,1.0,f +9739,100%,Maldives,44.0,f +27427,100%,Marshall Islands,1.0,f +9739,100%,Maldives,44.0,f +6894,80%,Estonia,47.0,t +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +13541,100%,,2.0,t +8549,100%,Lebanon,1.0,t +9739,100%,Maldives,44.0,f +48772,100%,Zimbabwe,2.0,t +31596,100%,French Guiana,1.0,t +39714,,,1.0,t +32007,80%,El Salvador,2.0,f +9739,100%,Maldives,44.0,f +40667,,Turkmenistan,4.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +11333,60%,Russian Federation,1.0,t +35272,,Guinea,1.0,f +9739,100%,Maldives,44.0,f +8831,,,3.0,f +9739,100%,Maldives,44.0,f +48068,100%,,4.0,f +3429,90%,,2.0,f +13801,100%,Afghanistan,1.0,f +40889,100%,Guinea,3.0,f +49340,,Cape Verde,1.0,f +21657,100%,Venezuela,2.0,t +541,93%,Marshall Islands,17.0,f +17905,,Papua New Guinea,1.0,f +20503,,China,2.0,f +23858,100%,Monaco,1.0,t +22933,100%,Zimbabwe,4.0,f +22677,,,1.0,f +22816,100%,Croatia,1.0,f +15831,100%,Nicaragua,1.0,f +44966,100%,Guinea,21.0,f +23849,100%,Zimbabwe,1.0,f +32661,,,3.0,t +26409,100%,Lebanon,1.0,t +45233,50%,Slovakia (Slovak Republic),1.0,f +19327,90%,Mauritania,1.0,f +43615,100%,,1.0,f +19502,,,1.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +27856,100%,United Kingdom,1.0,f +16520,100%,Marshall Islands,22.0,f +9739,100%,Maldives,44.0,f +34613,,France,1.0,f +9739,100%,Maldives,44.0,f +9739,100%,Maldives,44.0,f +12464,,Chile,5.0,t +43740,67%,,1.0,t +28979,20%,,2.0,f +9314,100%,Marshall Islands,2.0,f +46963,,Jersey,1.0,f +15985,67%,Somalia,1.0,f +9739,100%,Maldives,44.0,f +21593,75%,Uzbekistan,1.0,t +42667,50%,Niue,1.0,f +12182,100%,Togo,1.0,t +4218,100%,,1.0,t +2612,94%,Cuba,1.0,f +12493,70%,Sao Tome and Principe,4.0,t +1368,,,1.0,f +48584,,Zimbabwe,2.0,t +40371,100%,Sao Tome and Principe,1.0,f +35639,100%,United Kingdom,1.0,t +34877,,,2.0,f +49076,97%,Kenya,12.0,t +20262,,Marshall Islands,1.0,f +34120,100%,French Guiana,3.0,t +45246,100%,Russian Federation,2.0,f +21628,100%,Estonia,1.0,f +17262,100%,Slovakia (Slovak Republic),1.0,f +1022,100%,,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +4217,,Kenya,52.0,f +44902,,Micronesia,1.0,f +36019,100%,Niue,1.0,f +43240,,,1.0,f +47039,0%,Christmas Island,1.0,f +7894,100%,Ukraine,10.0,f +166,50%,,1.0,f +28828,100%,Isle of Man,198.0,t +9341,100%,Russian Federation,1.0,f +26057,100%,,1.0,f +40364,100%,Tonga,25.0,f +29662,100%,Mauritania,1.0,f +49890,100%,,1.0,f +34386,,Malta,1.0,f +46802,,,1.0,f +16251,100%,Montserrat,1.0,t +30470,,Niger,1.0,f +37646,100%,Estonia,60.0,f +48409,,Estonia,60.0,t +15137,100%,Marshall Islands,10.0,t +40364,100%,Tonga,25.0,f +8197,,,1.0,f +11927,,Guinea,1.0,f +16424,90%,Micronesia,1.0,t +28828,100%,Isle of Man,198.0,t +24033,100%,Uganda,45.0,f +22357,100%,Reunion,1.0,f +4566,100%,French Guiana,1.0,f +34042,100%,Marshall Islands,37.0,f +38701,40%,Niger,27.0,f +46717,,Faroe Islands,2.0,t +49996,,Sao Tome and Principe,2.0,f +18933,75%,Venezuela,10.0,f +35483,80%,Reunion,6.0,f +39113,100%,Senegal,2.0,f +47227,100%,Papua New Guinea,2.0,f +40064,100%,Montserrat,1.0,f +5794,,Christmas Island,1.0,f +11261,100%,Russian Federation,1.0,f +20165,94%,Ukraine,30.0,f +19128,100%,Uzbekistan,12.0,t +43329,50%,Togo,1.0,f +19019,97%,Nicaragua,1484.0,f +47227,100%,Papua New Guinea,2.0,f +31302,80%,,1.0,f +16643,100%,,4.0,f +16643,100%,,4.0,f +16643,100%,,4.0,f +16643,100%,,4.0,f +38239,100%,Nicaragua,2.0,t +8375,67%,,2.0,f +6863,,Niue,1.0,f +32058,100%,Niue,1.0,f +16468,,Greenland,1.0,f +19019,97%,Nicaragua,1484.0,f +1924,,Russian Federation,2.0,f +32038,100%,Indonesia,35.0,f +36300,100%,Malta,1.0,f +24071,100%,Indonesia,22.0,f +33513,100%,Russian Federation,1.0,t +19019,97%,Nicaragua,1484.0,f +49076,97%,Kenya,12.0,t +13054,,Uganda,1.0,t +28830,100%,Lithuania,2.0,f +39905,100%,Bosnia and Herzegovina,3.0,f +14145,,Cuba,1.0,f +18516,100%,Congo,3.0,t +33433,100%,Rwanda,9.0,f +3311,100%,Brunei Darussalam,2.0,f +41,100%,Portugal,2.0,f +39807,50%,Ecuador,1.0,f +25687,100%,Anguilla,17.0,f +45696,100%,Faroe Islands,2.0,t +13776,100%,Lebanon,1.0,f +871,75%,,3.0,f +34042,100%,Marshall Islands,37.0,f +9656,,Denmark,1.0,f +8733,100%,Tonga,4.0,t +104,,,1.0,f +1268,100%,Andorra,1.0,f +22331,99%,Rwanda,50.0,t +22331,99%,Rwanda,50.0,t +22331,99%,Rwanda,50.0,t +22331,99%,Rwanda,50.0,t +22331,99%,Rwanda,50.0,t +2496,,Papua New Guinea,1.0,f +22331,99%,Rwanda,50.0,t +232,100%,El Salvador,1.0,f +4217,,Kenya,52.0,f +38259,,,2.0,f +7795,100%,,1.0,f +32203,100%,Barbados,176.0,f +32935,,Ghana,40.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +1310,83%,Barbados,5.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +19174,,French Guiana,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +23436,100%,Zimbabwe,2.0,f +7056,100%,,2.0,t +27768,65%,Kiribati,15.0,t +18810,100%,Lebanon,1.0,t +34384,100%,Guinea,1.0,f +27794,,Uzbekistan,1.0,f +15137,100%,Marshall Islands,10.0,t +38259,,,2.0,f +12228,,Gambia,1.0,f +41725,100%,,2.0,f +32203,100%,Barbados,176.0,f +31446,100%,Faroe Islands,9.0,f +45440,,Niue,2.0,t +5090,100%,Maldives,1.0,f +15399,,,1.0,f +27768,65%,Kiribati,15.0,t +29688,100%,French Guiana,1.0,t +29603,,Croatia,1.0,t +44344,100%,,2.0,f +32203,100%,Barbados,176.0,f +27507,100%,Lebanon,2.0,f +5943,100%,Russian Federation,1.0,f +17336,100%,Zimbabwe,1.0,f +16980,,Chile,2.0,f +1684,,Philippines,1.0,f +33471,100%,France,1.0,f +41618,100%,Turkmenistan,1.0,f +19209,,Brazil,1.0,f +8341,100%,Costa Rica,2.0,f +17759,100%,Chad,2.0,f +44511,100%,Bouvet Island (Bouvetoya),4.0,f +43735,,,1.0,f +40864,,,1.0,f +39118,,Denmark,1.0,f +27749,100%,France,2.0,f +44189,,Cocos (Keeling) Islands,2.0,f +15466,100%,Senegal,4.0,f +38582,100%,,7.0,f +12679,90%,,2.0,f +12679,90%,,2.0,f +22147,80%,,2.0,f +19914,,,2.0,f +15466,100%,Senegal,4.0,f +11287,,Lebanon,1.0,t +5895,,,1.0,t +23410,100%,French Guiana,2.0,f +39525,,,1.0,f +8912,,Lebanon,4.0,f +17854,100%,,4.0,f +15267,100%,Sao Tome and Principe,2.0,t +38890,100%,Uruguay,2.0,f +22793,,,1.0,f +40347,,Guinea,1.0,f +8430,,Peru,7.0,t +24248,,Papua New Guinea,1.0,f +32203,100%,Barbados,176.0,f +3378,,Maldives,1.0,f +18791,100%,Zimbabwe,8.0,t +7313,,,1.0,f +16116,50%,,1.0,f +14514,,China,80.0,t +43316,100%,Indonesia,23.0,f +40155,100%,Tonga,4.0,f +27289,99%,Reunion,12.0,t +21724,,Sao Tome and Principe,3.0,t +41799,50%,Maldives,7.0,f +27289,99%,Reunion,12.0,t +27289,99%,Reunion,12.0,t +30396,86%,Philippines,1.0,f +27166,,Nicaragua,1.0,f +49132,,Jersey,1.0,t +48503,90%,Sao Tome and Principe,5.0,t +30963,100%,Kiribati,1.0,f +27289,99%,Reunion,12.0,t +32203,100%,Barbados,176.0,f +26009,100%,Uzbekistan,1.0,f +45346,100%,Russian Federation,1.0,f +37663,,Lebanon,1.0,f +41893,100%,,2.0,f +36963,100%,France,1.0,f +120,100%,Cuba,2.0,f +30786,,Uzbekistan,29.0,f +45138,79%,Barbados,14.0,f +43152,100%,Nicaragua,82.0,t +40068,100%,Marshall Islands,2.0,f +45183,,,1.0,f +10871,100%,Libyan Arab Jamahiriya,1.0,f +2719,,Venezuela,1.0,t +33648,,Malawi,2.0,f +17224,100%,Ecuador,1.0,f +43491,100%,Uzbekistan,1.0,f +41359,100%,Micronesia,6.0,f +912,100%,Monaco,1.0,f +17197,100%,Bosnia and Herzegovina,1.0,f +48246,,,1.0,f +48954,100%,Montserrat,8.0,t +19097,100%,Russian Federation,2.0,f +34562,99%,Tonga,9.0,f +21105,100%,Indonesia,2.0,t +35135,100%,Niue,1.0,f +5878,100%,,2.0,t +17801,80%,Mauritania,2.0,t +5878,100%,,2.0,t +37145,50%,,1.0,f +35855,,Sao Tome and Principe,3.0,f +39642,,,2.0,f +15155,100%,,3.0,t +8463,,French Guiana,1.0,f +18829,100%,Indonesia,4.0,t +8375,67%,,2.0,f +3389,100%,Estonia,13.0,f +16796,,Faroe Islands,2.0,t +13070,100%,Fiji,45.0,f +10685,100%,Guinea,3.0,f +7058,100%,Isle of Man,2.0,f +35413,0%,Zimbabwe,1.0,f +11068,93%,Maldives,1.0,f +47256,50%,Marshall Islands,1.0,f +12477,,Guinea,1.0,f +24147,100%,Kenya,2.0,f +25301,100%,,2.0,f +31131,,Denmark,1.0,f +30221,50%,Vietnam,5.0,f +1108,100%,Lebanon,5.0,f +8384,,,1.0,t +34562,99%,Tonga,9.0,f +47965,,Guinea,1.0,f +34562,99%,Tonga,9.0,f +34562,99%,Tonga,9.0,f +34562,99%,Tonga,9.0,f +34562,99%,Tonga,9.0,f +25461,90%,Sao Tome and Principe,2.0,f +30786,,Uzbekistan,29.0,f +34562,99%,Tonga,9.0,f +24065,100%,Maldives,12.0,f +25021,100%,Palestinian Territory,2.0,f +32676,100%,China,34.0,f +24065,100%,Maldives,12.0,f +32038,100%,Indonesia,35.0,f +39715,100%,Guinea,2.0,f +24065,100%,Maldives,12.0,f +34562,99%,Tonga,9.0,f +11510,,Montserrat,11.0,f +22125,100%,Lebanon,1.0,t +41799,50%,Maldives,7.0,f +18484,100%,Gambia,108.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +40634,,Niue,1.0,f +11744,100%,Kenya,4.0,f +27768,65%,Kiribati,15.0,t +29331,100%,Bosnia and Herzegovina,1.0,f +24095,,Russian Federation,1.0,t +34025,,Nicaragua,6.0,f +24065,100%,Maldives,12.0,f +18933,75%,Venezuela,10.0,f +41799,50%,Maldives,7.0,f +28439,100%,Svalbard & Jan Mayen Islands,1.0,f +19720,50%,,1.0,f +24026,98%,Cape Verde,69.0,t +9792,33%,Maldives,1.0,f +16489,100%,Russian Federation,42.0,t +37888,89%,Niger,79.0,f +20587,100%,Brazil,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +850,,Zimbabwe,1.0,f +35698,,Indonesia,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +3913,100%,Reunion,15.0,f +26373,100%,Lithuania,1.0,f +29613,,Niue,1.0,f +3668,100%,Uzbekistan,1.0,f +46505,100%,Afghanistan,2.0,f +29542,100%,,1.0,t +4330,94%,Ukraine,60.0,t +19974,100%,Ukraine,3.0,f +25787,,Mauritania,1.0,t +22821,100%,Gambia,1.0,f +4330,94%,Ukraine,60.0,t +5728,,Faroe Islands,1.0,t +45490,95%,Barbados,6.0,f +9390,100%,Peru,1.0,f +12715,100%,Estonia,29.0,f +4330,94%,Ukraine,60.0,t +13786,,,1.0,f +32550,,,1.0,f +26928,100%,,4.0,f +36327,100%,Guinea,5.0,t +29382,100%,Ghana,4.0,f +35868,96%,Barbados,4.0,f +30184,100%,Zimbabwe,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +46070,100%,Mauritania,1.0,f +9516,99%,Pakistan,45.0,t +24012,100%,,2.0,t +9147,100%,,4.0,f +2914,91%,Gibraltar,2.0,f +41681,90%,Malawi,2.0,t +37566,100%,Indonesia,4.0,f +24065,100%,Maldives,12.0,f +28015,100%,Maldives,3.0,f +38161,100%,Bosnia and Herzegovina,1.0,f +2161,44%,Rwanda,8.0,f +13781,100%,Tonga,2.0,f +27289,99%,Reunion,12.0,t +4893,100%,Russian Federation,2.0,f +2161,44%,Rwanda,8.0,f +2161,44%,Rwanda,8.0,f +27289,99%,Reunion,12.0,t +48018,,,1.0,f +13090,0%,Marshall Islands,2.0,f +32792,,Indonesia,12.0,f +39109,77%,Ukraine,24.0,t +16863,97%,Turkmenistan,6.0,f +40941,94%,Russian Federation,4.0,t +13160,100%,Cape Verde,5.0,t +4446,100%,Uganda,58.0,f +20347,,Lao People's Democratic Republic,2.0,f +16863,97%,Turkmenistan,6.0,f +24065,100%,Maldives,12.0,f +32935,,Ghana,40.0,f +24065,100%,Maldives,12.0,f +46949,100%,Tunisia,4.0,f +24065,100%,Maldives,12.0,f +24065,100%,Maldives,12.0,f +24065,100%,Maldives,12.0,f +24065,100%,Maldives,12.0,f +16863,97%,Turkmenistan,6.0,f +46107,,Zimbabwe,1.0,f +16863,97%,Turkmenistan,6.0,f +26215,100%,Croatia,1.0,f +16863,97%,Turkmenistan,6.0,f +5185,0%,Gambia,12.0,f +16863,97%,Turkmenistan,6.0,f +5185,0%,Gambia,12.0,f +16342,,Marshall Islands,6.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +49603,,,1.0,t +3543,100%,Slovakia (Slovak Republic),4.0,t +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +24544,100%,Monaco,1.0,t +39557,,Faroe Islands,1.0,f +32794,,,1.0,f +16059,,,1.0,f +29119,100%,Nicaragua,2.0,f +7805,67%,Isle of Man,2.0,f +7805,67%,Isle of Man,2.0,f +5826,100%,Zimbabwe,1.0,f +5173,100%,El Salvador,2.0,f +44169,97%,Portugal,39.0,f +10400,100%,Paraguay,4.0,t +3156,,,1.0,f +3571,100%,Bouvet Island (Bouvetoya),3.0,t +26499,100%,Russian Federation,1.0,t +22346,100%,Rwanda,1.0,f +43237,40%,Montserrat,24.0,f +39633,,,1.0,t +34183,25%,,1.0,f +11577,100%,Equatorial Guinea,9.0,t +25518,100%,France,1.0,f +18700,100%,,1.0,f +23707,90%,,1.0,f +15078,,Vietnam,8.0,f +20562,100%,Jersey,1.0,t +13451,100%,,3.0,f +41210,100%,,1.0,f +49989,100%,,1.0,f +3123,100%,Mauritania,1.0,f +45618,,French Polynesia,1.0,f +44593,83%,Gambia,1.0,f +23836,100%,,2.0,f +9883,,Faroe Islands,1.0,t +46332,100%,Isle of Man,1.0,f +33242,100%,Uzbekistan,3.0,t +11613,,,1.0,t +35456,100%,Denmark,2.0,f +20334,99%,Niger,171.0,t +49604,,Afghanistan,2.0,t +33775,,French Guiana,1.0,f +16554,,Maldives,3.0,t +27637,,Kiribati,1.0,f +21038,100%,Zimbabwe,1.0,f +46918,100%,Sao Tome and Principe,5.0,f +23018,,Ukraine,1.0,f +21151,100%,Portugal,5.0,f +15415,,Montserrat,1.0,f +28589,100%,Bosnia and Herzegovina,5.0,f +20914,,Russian Federation,1.0,f +40700,,Anguilla,2.0,f +22458,0%,,1.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +15189,79%,China,21.0,f +18877,100%,Isle of Man,3.0,t +12862,100%,United Kingdom,1.0,f +35023,100%,,3.0,f +6430,100%,Niue,2.0,t +41852,,,1.0,f +45244,100%,Niger,1.0,f +43482,50%,Bouvet Island (Bouvetoya),1.0,f +32802,100%,Gibraltar,1.0,f +37494,,Slovakia (Slovak Republic),1.0,t +25661,,Micronesia,1.0,f +39921,100%,Barbados,2.0,t +47919,100%,Lithuania,1.0,f +2869,,Bouvet Island (Bouvetoya),1.0,f +24332,100%,Mauritania,2.0,t +9686,,United Kingdom,1.0,t +26338,100%,Barbados,6.0,f +41748,100%,,2.0,f +26338,100%,Barbados,6.0,f +17707,100%,French Guiana,1.0,t +42991,100%,,1.0,f +13637,60%,,5.0,t +23497,80%,Gambia,3.0,f +19019,97%,Nicaragua,1484.0,f +40667,,Turkmenistan,4.0,f +47610,100%,Uzbekistan,10.0,f +40667,,Turkmenistan,4.0,f +23507,,Wallis and Futuna,1.0,f +43493,90%,Reunion,1.0,f +31446,100%,Faroe Islands,9.0,f +20039,75%,Jersey,2.0,f +29257,,Iraq,2.0,t +42983,100%,Costa Rica,2.0,t +14470,100%,Nicaragua,1.0,f +38264,88%,Russian Federation,4.0,f +4393,,Chad,1.0,f +33454,100%,Tonga,7.0,f +10601,100%,,1.0,f +33454,100%,Tonga,7.0,f +7184,77%,Reunion,13.0,f +48751,100%,Philippines,2.0,f +48251,97%,Zimbabwe,6.0,f +48251,97%,Zimbabwe,6.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +31677,100%,Jersey,1.0,f +34401,50%,Micronesia,4.0,f +27929,100%,Barbados,1.0,f +41776,60%,,1.0,f +2291,100%,Zimbabwe,5.0,t +31718,100%,France,6.0,f +32464,,Bouvet Island (Bouvetoya),1.0,f +6495,89%,Tonga,34.0,f +39618,100%,Netherlands,1.0,t +6191,100%,Uzbekistan,2.0,t +6894,80%,Estonia,47.0,t +47775,100%,French Guiana,6.0,f +3410,,Philippines,1.0,t +20553,83%,Barbados,4.0,f +4319,100%,Uganda,6.0,f +47775,100%,French Guiana,6.0,f +4319,100%,Uganda,6.0,f +33873,100%,Turks and Caicos Islands,8.0,t +22728,75%,,2.0,f +14770,50%,Sao Tome and Principe,1.0,f +47692,100%,Mauritania,1.0,f +45167,,France,1.0,f +38310,100%,Russian Federation,1.0,f +33873,100%,Turks and Caicos Islands,8.0,t +1228,100%,,1.0,f +8854,100%,Costa Rica,1.0,f +8341,100%,Costa Rica,2.0,f +39317,100%,,2.0,f +45798,100%,,4.0,f +29792,,France,1.0,t +20657,,Cuba,2.0,f +32935,,Ghana,40.0,f +45798,100%,,4.0,f +11147,,,1.0,f +36060,100%,Niue,2.0,f +46480,100%,French Guiana,1.0,t +19019,97%,Nicaragua,1484.0,f +16573,100%,Cuba,2.0,f +45207,,Peru,1.0,f +25890,100%,,3.0,f +28672,100%,Suriname,1.0,f +46904,100%,Guernsey,1.0,f +1887,,Tonga,2.0,f +11336,100%,Brazil,2.0,f +19019,97%,Nicaragua,1484.0,f +36817,91%,Slovakia (Slovak Republic),6.0,f +19019,97%,Nicaragua,1484.0,f +39672,,Russian Federation,1.0,f +19019,97%,Nicaragua,1484.0,f +11661,0%,Guernsey,2.0,f +19019,97%,Nicaragua,1484.0,f +41955,100%,Zimbabwe,1.0,t +19019,97%,Nicaragua,1484.0,f +8374,100%,Svalbard & Jan Mayen Islands,1.0,t +8315,100%,France,2.0,t +40364,100%,Tonga,25.0,f +33948,100%,,2.0,f +47974,100%,Lebanon,2.0,f +43629,70%,Malawi,3.0,f +3881,,,1.0,f +38628,100%,Faroe Islands,1.0,t +40501,100%,Brazil,4.0,f +19019,97%,Nicaragua,1484.0,f +41630,100%,Kiribati,24.0,f +48016,70%,Senegal,1.0,f +45826,,,1.0,t +40501,100%,Brazil,4.0,f +452,100%,Ghana,3.0,f +40501,100%,Brazil,4.0,f +7967,100%,Venezuela,1.0,f +9731,100%,Gambia,4.0,f +36523,100%,Isle of Man,1.0,f +1476,100%,Faroe Islands,1.0,t +18072,99%,Montserrat,37.0,f +30786,,Uzbekistan,29.0,f +45274,,Tonga,1.0,f +48087,100%,,3.0,t +18774,100%,Uzbekistan,4.0,f +24064,100%,Niue,2.0,t +40,,,1.0,f +46244,100%,France,1.0,t +15558,,Lebanon,1.0,f +12948,71%,,2.0,f +12948,71%,,2.0,f +35304,100%,Tonga,12.0,t +31387,100%,Isle of Man,2.0,f +20298,100%,,2.0,f +20298,100%,,2.0,f +35227,100%,Guinea,2.0,f +34188,,Marshall Islands,1.0,f +42672,,Isle of Man,1.0,f +44304,100%,Zimbabwe,1.0,t +23530,100%,Niue,1.0,t +44049,100%,,2.0,f +13814,100%,Venezuela,1.0,f +18072,99%,Montserrat,37.0,f +39924,,Russian Federation,1.0,f +686,97%,Micronesia,7.0,t +42243,100%,Senegal,4.0,f +11913,100%,Gambia,5.0,f +38137,99%,Zimbabwe,16.0,f +46962,,Malawi,1.0,f +16919,,,1.0,f +28828,100%,Isle of Man,198.0,t +42286,94%,Vietnam,9.0,t +42202,0%,,1.0,f +37484,100%,Estonia,1.0,f +17402,,El Salvador,1.0,f +45104,100%,Nicaragua,1.0,f +36457,100%,Rwanda,4.0,f +39593,100%,El Salvador,2.0,f +7184,77%,Reunion,13.0,f +6431,100%,Sao Tome and Principe,1.0,f +7600,,,12.0,f +7600,,,12.0,f +7600,,,12.0,f +7600,,,12.0,f +7600,,,12.0,f +35680,,Bouvet Island (Bouvetoya),1.0,t +39631,,,1.0,f +8277,,American Samoa,1.0,f +3797,44%,Rwanda,1.0,t +7894,100%,Ukraine,10.0,f +19602,100%,Lithuania,24.0,f +33232,,Russian Federation,1.0,f +3876,,Marshall Islands,1.0,f +35456,100%,Denmark,2.0,f +16779,100%,,1.0,t +2383,,French Guiana,3.0,t +7600,,,12.0,f +590,,Guinea,2.0,t +45780,91%,Palestinian Territory,5.0,f +1810,100%,Lebanon,2.0,f +7600,,,12.0,f +7600,,,12.0,f +5173,100%,El Salvador,2.0,f +9163,,,1.0,t +43299,,,1.0,t +13364,91%,Netherlands,21.0,f +41014,100%,Netherlands,3.0,f +6498,100%,Micronesia,1.0,f +38532,90%,,6.0,f +18653,,,1.0,f +41630,100%,Kiribati,24.0,f +23548,94%,Fiji,7.0,f +23548,94%,Fiji,7.0,f +23548,94%,Fiji,7.0,f +6338,100%,Isle of Man,6.0,f +14506,,,1.0,f +11857,100%,Somalia,1.0,f +31636,,,1.0,f +6591,100%,Isle of Man,1.0,f +14514,,China,80.0,t +38047,90%,,2.0,f +29457,100%,Guinea,3.0,f +41630,100%,Kiribati,24.0,f +27141,,,1.0,t +19217,98%,Marshall Islands,46.0,f +21953,75%,Libyan Arab Jamahiriya,2.0,t +45895,,Niue,2.0,f +4464,90%,Faroe Islands,2.0,t +35545,100%,Isle of Man,2.0,f +7600,,,12.0,f +1061,100%,,1.0,f +30307,75%,El Salvador,1.0,f +7600,,,12.0,f +7600,,,12.0,f +7600,,,12.0,f +42243,100%,Senegal,4.0,f +44128,100%,,2.0,t +34042,100%,Marshall Islands,37.0,f +19091,95%,Cook Islands,18.0,t +9881,100%,Micronesia,2.0,t +41615,,,1.0,f +26308,70%,,2.0,f +26308,70%,,2.0,f +31456,,Canada,1.0,f +31198,100%,Andorra,1.0,t +24909,,Croatia,1.0,t +15715,100%,,1.0,f +22330,86%,Kiribati,1.0,f +5176,100%,Malawi,2.0,t +28514,100%,Jersey,1.0,t +8489,100%,Zimbabwe,2.0,f +4408,100%,France,2.0,f +39070,100%,,1.0,f +23520,100%,Mauritania,1.0,t +44069,100%,Guernsey,1.0,f +221,,Afghanistan,7.0,t +35829,,,1.0,f +5349,0%,Puerto Rico,1.0,f +41630,100%,Kiribati,24.0,f +42922,100%,Gibraltar,1.0,f +14592,100%,Nauru,1.0,f +46260,,Croatia,1.0,t +36617,100%,Russian Federation,1.0,f +44538,,,1.0,f +11125,100%,Nicaragua,12.0,t +39269,100%,Malta,1.0,f +49148,,French Guiana,1.0,f +40501,100%,Brazil,4.0,f +10063,,,1.0,f +47588,,Russian Federation,1.0,t +46971,100%,France,1.0,f +49525,,Estonia,4.0,f +43316,100%,Indonesia,23.0,f +2633,100%,Lebanon,1.0,t +27265,100%,Togo,2.0,t +2291,100%,Zimbabwe,5.0,t +41011,100%,Tanzania,1.0,t +7184,77%,Reunion,13.0,f +37888,89%,Niger,79.0,f +32384,100%,,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +48423,100%,Netherlands,1.0,f +40032,100%,El Salvador,16.0,f +47274,100%,Tonga,48.0,f +3416,100%,Malawi,1.0,t +45504,,Uganda,1.0,t +40032,100%,El Salvador,16.0,f +19214,100%,Senegal,55.0,f +43664,,Papua New Guinea,1.0,t +9363,95%,Ukraine,50.0,f +40032,100%,El Salvador,16.0,f +1080,70%,,2.0,f +25603,100%,,1.0,f +23798,100%,Marshall Islands,1.0,f +27473,100%,,2.0,f +6338,100%,Isle of Man,6.0,f +2058,50%,Guinea,1.0,t +11856,100%,Pakistan,1.0,f +6338,100%,Isle of Man,6.0,f +16667,100%,,1.0,f +19204,100%,Brazil,1.0,t +47665,,Kenya,4.0,t +3961,100%,Fiji,8.0,f +3961,100%,Fiji,8.0,f +38522,100%,Sao Tome and Principe,9.0,f +19390,,Nicaragua,1.0,f +18484,100%,Gambia,108.0,f +11569,,Turks and Caicos Islands,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +18955,90%,Denmark,3.0,f +16727,100%,Bosnia and Herzegovina,1.0,t +14522,,Gambia,2.0,t +36047,100%,,6.0,t +4380,,Micronesia,2.0,f +30900,,Sao Tome and Principe,1.0,f +26752,100%,United Kingdom,2.0,f +34235,100%,Mauritania,1.0,f +43152,100%,Nicaragua,82.0,t +91,,Reunion,1.0,f +47381,,Indonesia,3.0,f +38921,100%,Montserrat,1.0,f +5136,100%,Cape Verde,1.0,t +48857,100%,,24.0,f +38966,,,1.0,f +28089,100%,Niue,1.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +4226,100%,Finland,2.0,t +48857,100%,,24.0,f +3482,100%,Marshall Islands,4.0,f +48857,100%,,24.0,f +26386,100%,Fiji,25.0,t +45371,100%,Rwanda,2.0,f +21504,,Zimbabwe,1.0,f +47988,,,1.0,f +40392,,Nicaragua,1.0,f +37319,100%,United Kingdom,1.0,f +5679,100%,Maldives,1.0,f +5367,100%,Uzbekistan,1.0,t +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +18072,99%,Montserrat,37.0,f +33845,,Nauru,3.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +18484,100%,Gambia,108.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +39345,,Russian Federation,1.0,f +48857,100%,,24.0,f +32203,100%,Barbados,176.0,f +16489,100%,Russian Federation,42.0,t +4028,100%,,3.0,t +46671,100%,,1.0,f +6277,100%,Estonia,6.0,f +20329,100%,Reunion,21.0,f +41359,100%,Micronesia,6.0,f +20334,99%,Niger,171.0,t +14999,20%,Slovakia (Slovak Republic),3.0,f +20334,99%,Niger,171.0,t +32203,100%,Barbados,176.0,f +13070,100%,Fiji,45.0,f +18484,100%,Gambia,108.0,f +24033,100%,Uganda,45.0,f +45910,,France,1.0,f +26761,100%,,3.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +48857,100%,,24.0,f +22634,100%,Gambia,3.0,f +18072,99%,Montserrat,37.0,f +23201,,,2.0,f +27719,89%,,4.0,f +27719,89%,,4.0,f +4253,100%,France,1.0,t +909,100%,Croatia,18.0,t +40689,100%,Cuba,23.0,f +15247,100%,Tunisia,1.0,f +18296,100%,,1.0,t +20790,,Kenya,1.0,f +3547,,Gambia,2.0,f +35722,,,1.0,f +38582,100%,,7.0,f +39835,100%,,5.0,t +40032,100%,El Salvador,16.0,f +46738,100%,,1.0,f +46301,100%,Gambia,1.0,f +28979,20%,,2.0,f +18738,95%,,2.0,t +15847,,Uganda,13.0,f +46000,100%,,1.0,f +28069,100%,Togo,4.0,f +43703,,Zimbabwe,6.0,f +3167,100%,Micronesia,3.0,f +27228,100%,Isle of Man,7.0,f +356,99%,Wallis and Futuna,32.0,t +40578,100%,,2.0,f +38582,100%,,7.0,f +36362,75%,Isle of Man,1.0,f +31839,100%,Mauritania,1.0,f +18484,100%,Gambia,108.0,f +17134,100%,Libyan Arab Jamahiriya,1.0,t +30786,,Uzbekistan,29.0,f +43703,,Zimbabwe,6.0,f +15127,100%,Russian Federation,1.0,f +45289,0%,Marshall Islands,1.0,f +46185,90%,El Salvador,1.0,f +40167,100%,,1.0,f +24104,,Kenya,1.0,f +221,,Afghanistan,7.0,t +43703,,Zimbabwe,6.0,f +12164,100%,Nicaragua,8.0,f +28738,100%,Nauru,1.0,f +39160,,Ghana,1.0,t +34521,,French Guiana,1.0,t +32729,90%,Indonesia,1.0,f +15652,,Maldives,1.0,f +34598,100%,French Guiana,2.0,t +4037,100%,Kiribati,11.0,f +43251,,Papua New Guinea,1.0,t +33013,100%,Turkmenistan,1.0,f +14869,,Jersey,1.0,t +11639,0%,Russian Federation,2.0,f +27283,0%,,1.0,t +14851,100%,Jersey,1.0,f +3528,100%,Niger,1.0,f +13577,90%,Brazil,2.0,f +42500,89%,Costa Rica,1.0,f +34006,100%,France,1.0,f +29647,100%,Peru,1305.0,f +45258,100%,Monaco,2.0,f +43703,,Zimbabwe,6.0,f +27365,30%,Uzbekistan,3.0,f +44852,100%,Kenya,1.0,f +15002,,,2.0,f +43703,,Zimbabwe,6.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +19128,100%,Uzbekistan,12.0,t +29647,100%,Peru,1305.0,f +43703,,Zimbabwe,6.0,f +13070,100%,Fiji,45.0,f +20928,,Denmark,1.0,f +12812,99%,Croatia,32.0,f +47302,,Netherlands,2.0,f +20416,100%,Monaco,1.0,f +12812,99%,Croatia,32.0,f +1202,43%,Indonesia,1.0,f +12812,99%,Croatia,32.0,f +1310,83%,Barbados,5.0,f +46377,100%,Denmark,1.0,t +13386,80%,Iran,4.0,t +39952,100%,Tonga,21.0,f +33345,100%,Kenya,2.0,f +7339,100%,Zimbabwe,1.0,f +1552,,,15.0,f +35533,100%,Guinea,1.0,f +22819,100%,Nauru,1.0,f +42467,100%,Turks and Caicos Islands,1.0,t +19836,100%,Chile,1.0,t +38832,97%,,15.0,f +43277,,Sao Tome and Principe,1.0,f +4692,100%,Isle of Man,3.0,t +1965,94%,,1.0,f +45376,100%,Denmark,1.0,f +45964,80%,Togo,2.0,f +10094,100%,Senegal,1.0,f +32792,,Indonesia,12.0,f +38457,100%,Gambia,1.0,t +481,94%,Solomon Islands,7.0,t +41183,,,1.0,f +25954,75%,Saint Helena,1.0,f +42947,,Lebanon,1.0,f +4305,100%,,2.0,f +25186,,Denmark,1.0,f +35531,100%,Dominica,3.0,t +28828,100%,Isle of Man,198.0,t +16140,100%,Uzbekistan,2.0,f +26071,,Mauritania,1.0,t +28828,100%,Isle of Man,198.0,t +24594,100%,Rwanda,14.0,f +3790,100%,Netherlands,16.0,f +11507,100%,Nicaragua,1.0,f +36611,71%,Maldives,14.0,f +39737,,Gambia,1.0,f +21240,94%,Niger,130.0,f +8322,,,1.0,f +39468,,Chile,2.0,t +12561,100%,Tunisia,11.0,t +28241,97%,Maldives,10.0,f +26355,,,1.0,f +4457,,Cuba,1.0,f +45735,100%,Malta,1.0,f +10552,100%,Togo,2.0,f +8355,87%,Togo,16.0,f +39045,,,1.0,t +28956,100%,Tonga,1.0,f +5053,,Djibouti,1.0,f +26891,100%,Malta,1.0,f +32773,90%,Niue,2.0,f +44614,100%,Slovenia,2.0,f +26163,100%,Zimbabwe,1.0,f +41937,,Nauru,1.0,t +36981,,Christmas Island,2.0,f +6894,80%,Estonia,47.0,t +5133,,Tonga,1.0,f +39835,100%,,5.0,t +47954,97%,Uzbekistan,3.0,f +2830,100%,Estonia,1.0,f +39531,,,1.0,f +4408,100%,France,2.0,f +9634,100%,Indonesia,1.0,f +29023,100%,Isle of Man,1.0,f +40627,83%,France,1.0,f +35221,100%,Turks and Caicos Islands,30.0,t +17882,,,1.0,f +21240,94%,Niger,130.0,f +33518,100%,France,1.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +44109,100%,United Kingdom,20.0,f +20200,,Zimbabwe,2.0,f +2805,100%,Maldives,1.0,f +25083,100%,Isle of Man,1.0,f +5501,,Marshall Islands,1.0,t +34831,100%,Denmark,2.0,f +20165,94%,Ukraine,30.0,f +49574,100%,,2.0,f +48731,100%,Malawi,1.0,f +27712,,,1.0,f +49666,100%,,1.0,t +9354,100%,Spain,12.0,f +24118,98%,Ghana,21.0,t +30989,100%,Niue,1.0,f +14508,,,1.0,t +14068,100%,Micronesia,1.0,f +34412,100%,,1.0,t +28092,100%,,1.0,f +30859,,Sao Tome and Principe,1.0,t +41094,67%,,1.0,f +6788,,Chile,1.0,f +18764,100%,,1.0,t +32161,100%,Nicaragua,5.0,t +20606,100%,Congo,6.0,t +23034,99%,Monaco,54.0,f +35453,95%,Ecuador,2.0,f +8014,,Mauritania,1.0,t +20263,99%,Maldives,35.0,t +14349,100%,Malta,3.0,f +12497,100%,,2.0,f +21240,94%,Niger,130.0,f +20263,99%,Maldives,35.0,t +21690,100%,Anguilla,5.0,t +23642,100%,Holy See (Vatican City State),5.0,f +20263,99%,Maldives,35.0,t +10884,,Croatia,1.0,t +44257,,Lebanon,1.0,t +46253,,Uzbekistan,1.0,t +34417,50%,,1.0,f +48885,100%,Russian Federation,1.0,f +11367,100%,Guernsey,1.0,f +15007,,France,1.0,f +26188,100%,Comoros,2.0,t +33581,100%,Svalbard & Jan Mayen Islands,2.0,f +12497,100%,,2.0,f +13425,100%,Nauru,1.0,f +6055,80%,Libyan Arab Jamahiriya,2.0,f +33593,,,1.0,f +14349,100%,Malta,3.0,f +14349,100%,Malta,3.0,f +14571,100%,,1.0,f +46340,100%,Denmark,3.0,t +102,100%,France,1.0,f +47763,78%,,1.0,f +48724,100%,Kiribati,1.0,f +1283,,Faroe Islands,2.0,f +34391,,,2.0,f +41702,100%,Anguilla,2.0,f +2404,,Barbados,3.0,t +43350,100%,Isle of Man,2.0,t +42656,100%,Kenya,1.0,f +15794,,Gambia,2.0,t +30852,100%,Netherlands,2.0,f +7431,100%,,2.0,f +13027,60%,Saint Helena,1.0,f +43496,100%,Montserrat,18.0,t +14514,,China,80.0,t +34402,79%,Reunion,28.0,f +29667,100%,Ireland,2.0,t +49642,,Guinea,1.0,f +3115,83%,Slovakia (Slovak Republic),17.0,t +32038,100%,Indonesia,35.0,f +17422,100%,,1.0,f +14514,,China,80.0,t +909,100%,Croatia,18.0,t +23430,100%,Reunion,16.0,f +24341,100%,,1.0,f +34022,50%,Togo,1.0,f +25763,92%,Micronesia,4.0,f +19091,95%,Cook Islands,18.0,t +34888,100%,Ecuador,1.0,f +1375,100%,Micronesia,5.0,f +13597,80%,,1.0,f +41856,100%,Maldives,13.0,t +14205,100%,Kenya,3.0,f +3552,0%,Kiribati,1.0,f +43321,100%,France,40.0,f +2365,100%,Vanuatu,2.0,f +43321,100%,France,40.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43401,100%,,1.0,f +15069,100%,Montserrat,3.0,t +6312,100%,Kenya,1.0,f +7291,70%,Zimbabwe,1.0,t +8646,,,2.0,f +18484,100%,Gambia,108.0,f +22630,,Anguilla,2.0,f +33176,,Gambia,1.0,f +25133,100%,,2.0,t +8646,,,2.0,f +40883,,Reunion,1.0,f +6254,100%,,3.0,f +7245,50%,Afghanistan,1.0,f +628,,,1.0,f +14614,100%,Marshall Islands,1.0,t +15570,100%,France,6.0,f +39429,100%,Uzbekistan,1.0,f +26281,100%,Cape Verde,1.0,f +36540,100%,,33.0,t +909,100%,Croatia,18.0,t +7520,100%,Ukraine,15.0,t +15570,100%,France,6.0,f +38059,100%,,1.0,f +35868,96%,Barbados,4.0,f +12498,100%,Tonga,1.0,f +46737,,,1.0,t +40775,100%,,2.0,f +47274,100%,Tonga,48.0,f +39383,78%,France,3.0,t +30031,100%,Turks and Caicos Islands,2.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +21854,100%,Isle of Man,3.0,t +45797,80%,Kenya,1.0,f +40793,100%,,75.0,t +40793,100%,,75.0,t +40793,100%,,75.0,t +9274,50%,,1.0,f +46357,100%,,1.0,f +29780,,,1.0,t +27478,100%,,2.0,t +5406,100%,Gambia,3.0,f +27153,100%,Russian Federation,2.0,f +37604,100%,Russian Federation,1.0,t +8355,87%,Togo,16.0,f +47979,100%,Micronesia,1.0,f +48298,100%,Niue,1.0,f +7184,77%,Reunion,13.0,f +8355,87%,Togo,16.0,f +39795,,,1.0,t +11083,100%,Cape Verde,1.0,t +43011,100%,Wallis and Futuna,6.0,f +49850,100%,Niger,1.0,t +20671,100%,Guinea,3.0,f +43289,,Uzbekistan,8.0,f +48053,,Lebanon,1.0,f +7184,77%,Reunion,13.0,f +27597,100%,Portugal,7.0,t +30029,90%,El Salvador,8.0,f +20334,99%,Niger,171.0,t +16221,100%,El Salvador,2.0,f +5206,82%,Togo,2.0,f +7294,,Venezuela,1.0,f +32203,100%,Barbados,176.0,f +15940,100%,Croatia,4.0,t +11600,100%,Gibraltar,1.0,t +17435,,Monaco,1.0,f +38243,,,1.0,f +14248,100%,,4.0,f +14248,100%,,4.0,f +14248,100%,,4.0,f +14248,100%,,4.0,f +33420,100%,Libyan Arab Jamahiriya,1.0,f +49526,100%,Gambia,4.0,f +34458,90%,Kiribati,4.0,t +29876,,,1.0,t +36738,100%,Guinea,1.0,f +19372,100%,Chad,3.0,f +3616,100%,Cape Verde,14.0,t +27853,100%,Zimbabwe,2.0,f +9384,,Bosnia and Herzegovina,2.0,t +48136,,Vanuatu,2.0,t +34704,,Kiribati,1.0,f +30658,100%,United Kingdom,2.0,f +21908,100%,Niue,49.0,f +8799,,,1.0,f +48133,,Isle of Man,45.0,f +10686,86%,Tonga,21.0,f +4199,100%,,1.0,f +11307,100%,Monaco,2.0,t +34330,100%,French Guiana,1.0,t +22355,100%,Malta,1.0,f +26755,100%,Russian Federation,2.0,t +46973,100%,Malta,2.0,t +35221,100%,Turks and Caicos Islands,30.0,t +32038,100%,Indonesia,35.0,f +41856,100%,Maldives,13.0,t +22721,100%,Ecuador,109.0,f +27911,100%,Libyan Arab Jamahiriya,1.0,f +28778,,,1.0,f +41856,100%,Maldives,13.0,t +32203,100%,Barbados,176.0,f +25966,100%,Niue,2.0,f +41856,100%,Maldives,13.0,t +38532,90%,,6.0,f +41856,100%,Maldives,13.0,t +1007,,Lebanon,1.0,f +41856,100%,Maldives,13.0,t +48133,,Isle of Man,45.0,f +42505,,French Polynesia,1.0,f +44476,100%,Holy See (Vatican City State),1.0,f +40312,100%,France,1.0,f +41856,100%,Maldives,13.0,t +43695,100%,Malta,2.0,f +3445,,Maldives,1.0,f +25991,100%,Greenland,4.0,f +22207,,Niue,1.0,t +26386,100%,Fiji,25.0,t +3060,,Wallis and Futuna,1.0,f +4788,,Tonga,7.0,f +46692,,Nicaragua,1.0,f +13834,,Kiribati,9.0,f +14415,100%,Mexico,1.0,f +21210,64%,,1.0,f +11639,0%,Russian Federation,2.0,f +38877,,Faroe Islands,1.0,f +24118,98%,Ghana,21.0,t +41359,100%,Micronesia,6.0,f +48133,,Isle of Man,45.0,f +21268,0%,,2.0,f +12266,,Peru,2.0,f +19217,98%,Marshall Islands,46.0,f +4037,100%,Kiribati,11.0,f +40793,100%,,75.0,t +40793,100%,,75.0,t +26755,100%,Russian Federation,2.0,t +32617,,Guinea,1.0,t +44845,90%,Cape Verde,1.0,t +27849,,Bosnia and Herzegovina,3.0,f +14093,100%,Cape Verde,1.0,f +11993,,Isle of Man,1.0,f +22155,100%,Estonia,4.0,f +4297,100%,Kenya,4.0,t +42589,100%,Turkmenistan,1.0,f +27901,100%,Niue,1.0,t +21467,,Denmark,1.0,f +6133,100%,Anguilla,1.0,f +49025,,Zimbabwe,1.0,f +33999,,Cocos (Keeling) Islands,1.0,f +19748,100%,Maldives,3.0,f +39870,,Slovakia (Slovak Republic),21.0,t +13960,100%,,4.0,f +47146,,,1.0,f +3057,,,1.0,f +30526,100%,Canada,3.0,t +36025,100%,Djibouti,6.0,t +11712,95%,Monaco,4.0,f +25632,100%,Cuba,13.0,f +4759,,Barbados,1.0,f +6114,,Nauru,1.0,f +20491,,Mexico,1.0,t +48110,,Malawi,1.0,t +39143,89%,,33.0,f +43316,100%,Indonesia,23.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +33927,100%,Barbados,9.0,f +39959,71%,,2.0,t +17130,,Marshall Islands,1.0,f +20557,75%,,1.0,t +39143,89%,,33.0,f +3483,100%,Micronesia,4.0,t +33604,90%,Marshall Islands,8.0,t +20263,99%,Maldives,35.0,t +14233,,Malawi,3.0,t +13197,100%,France,3.0,f +30786,,Uzbekistan,29.0,f +33604,90%,Marshall Islands,8.0,t +8398,100%,Kenya,1.0,f +43316,100%,Indonesia,23.0,f +18077,100%,Sao Tome and Principe,139.0,f +20263,99%,Maldives,35.0,t +15546,,Micronesia,1.0,f +14514,,China,80.0,t +30355,100%,Barbados,3.0,t +20263,99%,Maldives,35.0,t +5365,100%,,3.0,f +28602,100%,Mauritania,2.0,f +42573,,Reunion,2.0,t +20263,99%,Maldives,35.0,t +18077,100%,Sao Tome and Principe,139.0,f +31168,100%,,1.0,t +18072,99%,Montserrat,37.0,f +10883,100%,Niger,8.0,t +28442,,Niue,2.0,f +15974,100%,,3.0,f +17627,100%,Guinea,2.0,f +31203,,Niue,1.0,f +29081,98%,Uzbekistan,18.0,f +12265,100%,Monaco,2.0,f +41635,100%,Iceland,5.0,f +40296,100%,Ukraine,1.0,f +7184,77%,Reunion,13.0,f +44533,100%,Afghanistan,5.0,f +17821,89%,Marshall Islands,1.0,f +41060,78%,Russian Federation,1.0,f +9802,,Indonesia,38.0,t +471,100%,Uzbekistan,1.0,f +38582,100%,,7.0,f +36206,86%,Russian Federation,10.0,f +47672,100%,,5.0,f +11255,93%,Suriname,41.0,f +18072,99%,Montserrat,37.0,f +4330,94%,Ukraine,60.0,t +38238,0%,Puerto Rico,1.0,f +5420,100%,Tonga,41.0,f +21487,100%,Tanzania,1.0,f +4289,100%,Micronesia,2.0,f +22016,100%,Zimbabwe,2.0,t +17515,100%,Philippines,5.0,f +29967,94%,Reunion,5.0,f +18072,99%,Montserrat,37.0,f +48117,98%,Ukraine,41.0,f +18484,100%,Gambia,108.0,f +44477,90%,Maldives,3.0,t +47672,100%,,5.0,f +5420,100%,Tonga,41.0,f +25966,100%,Niue,2.0,f +35483,80%,Reunion,6.0,f +23647,100%,Micronesia,5.0,f +27907,100%,Puerto Rico,21.0,f +9904,,Turkmenistan,1.0,t +12190,100%,Lebanon,1.0,f +18072,99%,Montserrat,37.0,f +36324,,Cape Verde,1.0,f +35483,80%,Reunion,6.0,f +35483,80%,Reunion,6.0,f +35340,100%,France,1.0,f +29647,100%,Peru,1305.0,f +46669,86%,Brazil,11.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +35483,80%,Reunion,6.0,f +10711,93%,Uganda,108.0,t +17228,100%,Papua New Guinea,1.0,f +38971,,,1.0,f +909,100%,Croatia,18.0,t +2632,,Marshall Islands,1.0,f +1361,100%,,2.0,f +20078,100%,Faroe Islands,1.0,f +23677,,,6.0,f +23677,,,6.0,f +23677,,,6.0,f +23677,,,6.0,f +23677,,,6.0,f +44273,91%,,2.0,f +13070,100%,Fiji,45.0,f +40395,,,2.0,f +21268,0%,,2.0,f +18016,100%,Somalia,1.0,t +15606,,French Guiana,1.0,f +47237,94%,Marshall Islands,5.0,f +41546,100%,Mauritania,21.0,f +32726,,,1.0,t +24122,100%,,1.0,f +31827,100%,Croatia,2.0,t +27720,,Gibraltar,1.0,f +38138,,Greenland,1.0,f +13770,,Netherlands,4.0,f +13770,,Netherlands,4.0,f +25693,67%,Micronesia,3.0,f +2036,100%,Slovakia (Slovak Republic),3.0,f +48985,97%,Guinea,8.0,f +356,99%,Wallis and Futuna,32.0,t +1609,100%,Uzbekistan,1.0,t +36807,,Guernsey,1.0,t +43071,100%,Maldives,14.0,f +9187,100%,Zimbabwe,3.0,f +47614,100%,Croatia,1.0,f +37888,89%,Niger,79.0,f +2812,100%,Cocos (Keeling) Islands,1.0,f +34459,,,1.0,f +26639,,Guinea,1.0,f +12055,100%,Nicaragua,1.0,f +29401,,Australia,1.0,t +18247,95%,Iran,80.0,t +18072,99%,Montserrat,37.0,f +40774,,Mauritania,2.0,f +35023,100%,,3.0,f +15584,,Gibraltar,1.0,f +1161,71%,,2.0,f +41833,100%,Senegal,1.0,f +9363,95%,Ukraine,50.0,f +32203,100%,Barbados,176.0,f +41225,100%,,1.0,f +18072,99%,Montserrat,37.0,f +43316,100%,Indonesia,23.0,f +28660,,,1.0,f +38114,94%,Uzbekistan,19.0,f +33604,90%,Marshall Islands,8.0,t +6894,80%,Estonia,47.0,t +21384,,,1.0,f +14748,80%,Nicaragua,1.0,f +48956,100%,Philippines,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +26386,100%,Fiji,25.0,t +17830,,Cocos (Keeling) Islands,1.0,f +26939,100%,Philippines,6.0,f +1962,100%,,7.0,f +49525,,Estonia,4.0,f +21020,100%,,1.0,f +782,90%,Isle of Man,1.0,f +919,60%,,1.0,f +35078,100%,Venezuela,1.0,f +19956,100%,Isle of Man,2.0,f +19090,100%,Gibraltar,1.0,f +2644,100%,Zimbabwe,11.0,t +26386,100%,Fiji,25.0,t +26386,100%,Fiji,25.0,t +24026,98%,Cape Verde,69.0,t +41841,100%,Kenya,1.0,f +14535,88%,Montserrat,18.0,f +19748,100%,Maldives,3.0,f +30675,67%,Guinea,3.0,f +20374,100%,Uganda,1.0,f +559,,Guernsey,1.0,f +18072,99%,Montserrat,37.0,f +32616,90%,,3.0,f +32616,90%,,3.0,f +31963,0%,Guinea,2.0,f +32616,90%,,3.0,f +1962,100%,,7.0,f +28828,100%,Isle of Man,198.0,t +24860,,,1.0,f +18072,99%,Montserrat,37.0,f +19376,100%,Malawi,2.0,t +17619,74%,Ghana,14.0,f +3387,100%,Gambia,2.0,f +13359,100%,,1.0,f +29934,67%,Zimbabwe,3.0,f +32821,100%,,1.0,f +39047,,,1.0,f +26167,81%,Senegal,3.0,f +18320,50%,Reunion,19.0,t +43276,100%,,2.0,t +20334,99%,Niger,171.0,t +22361,100%,Jersey,2.0,f +39180,90%,Pakistan,2.0,f +46092,100%,Rwanda,1.0,f +5420,100%,Tonga,41.0,f +23156,,,1.0,f +48117,98%,Ukraine,41.0,f +9628,100%,Slovakia (Slovak Republic),2.0,f +41553,100%,Tonga,2.0,f +41784,100%,Rwanda,3.0,f +22880,100%,France,1.0,f +13042,100%,Costa Rica,5.0,f +46691,90%,Uzbekistan,38.0,f +34042,100%,Marshall Islands,37.0,f +21692,100%,Ecuador,3.0,t +20245,100%,Bosnia and Herzegovina,1.0,t +21600,100%,Sao Tome and Principe,2.0,f +40488,50%,,1.0,f +25351,100%,Fiji,6.0,f +43841,,,1.0,f +13042,100%,Costa Rica,5.0,f +29717,100%,Kiribati,3.0,f +46691,90%,Uzbekistan,38.0,f +18072,99%,Montserrat,37.0,f +4037,100%,Kiribati,11.0,f +5420,100%,Tonga,41.0,f +4037,100%,Kiribati,11.0,f +2897,,Croatia,1.0,f +49565,92%,Uganda,14.0,f +29717,100%,Kiribati,3.0,f +48117,98%,Ukraine,41.0,f +18125,100%,Russian Federation,1.0,t +40793,100%,,75.0,t +18072,99%,Montserrat,37.0,f +24317,,Niue,1.0,t +34249,100%,,1.0,t +10686,86%,Tonga,21.0,f +32149,67%,Djibouti,1.0,f +43808,100%,Sao Tome and Principe,1.0,t +23774,100%,Russian Federation,1.0,f +13178,,Niger,1.0,f +45216,100%,Kenya,1.0,f +26090,,,1.0,f +18072,99%,Montserrat,37.0,f +46973,100%,Malta,2.0,t +17961,71%,,5.0,f +26478,100%,Nauru,1.0,f +47274,100%,Tonga,48.0,f +17961,71%,,5.0,f +46691,90%,Uzbekistan,38.0,f +42042,100%,Morocco,4.0,f +17961,71%,,5.0,f +4037,100%,Kiribati,11.0,f +48430,,Isle of Man,2.0,f +9449,100%,France,1.0,f +37848,100%,Faroe Islands,1.0,f +18072,99%,Montserrat,37.0,f +17961,71%,,5.0,f +17961,71%,,5.0,f +13838,100%,Montserrat,10.0,f +4037,100%,Kiribati,11.0,f +39580,100%,Tonga,3.0,f +26999,100%,Isle of Man,3.0,f +19019,97%,Nicaragua,1484.0,f +41881,100%,Finland,1.0,f +40032,100%,El Salvador,16.0,f +11928,100%,,1.0,f +11327,,Chile,1.0,f +16520,100%,Marshall Islands,22.0,f +44816,,Malta,1.0,t +16520,100%,Marshall Islands,22.0,f +41869,,Niue,4.0,t +27447,,Jersey,1.0,f +26455,100%,Micronesia,1.0,f +11107,100%,Tanzania,1.0,f +874,100%,Puerto Rico,5.0,f +34813,,,1.0,f +45115,100%,Kiribati,1.0,f +6827,100%,Afghanistan,4.0,t +28069,100%,Togo,4.0,f +6827,100%,Afghanistan,4.0,t +4037,100%,Kiribati,11.0,f +41346,97%,Estonia,7.0,t +4811,100%,Wallis and Futuna,2.0,f +30026,100%,,2.0,f +32563,100%,Pakistan,2.0,t +24893,100%,Rwanda,9.0,f +25487,100%,Afghanistan,1.0,f +19174,,French Guiana,2.0,f +47853,,,2.0,t +19384,100%,Cape Verde,4.0,f +44533,100%,Afghanistan,5.0,f +42447,80%,,2.0,f +42447,80%,,2.0,f +8077,100%,,1.0,f +48888,,Gambia,1.0,f +23910,,Lebanon,1.0,f +25157,,,1.0,t +47982,100%,Denmark,7.0,f +222,89%,,16.0,f +2810,100%,,1.0,f +6008,,Guinea,1.0,f +31280,100%,,1.0,f +40202,100%,,2.0,f +26616,100%,Isle of Man,10.0,f +38500,,Saint Helena,1.0,t +4633,100%,Benin,4.0,f +3274,86%,Barbados,24.0,f +25519,100%,Slovakia (Slovak Republic),9.0,t +47522,100%,Lebanon,1.0,f +44230,100%,Gibraltar,1.0,t +22230,100%,Canada,1.0,t +5926,100%,Tanzania,1.0,f +39468,,Chile,2.0,t +15941,100%,Bahrain,1.0,f +27730,100%,Russian Federation,1.0,f +19019,97%,Nicaragua,1484.0,f +15524,,Croatia,1.0,t +30355,100%,Barbados,3.0,t +37023,,Faroe Islands,1.0,t +43690,,,1.0,f +36417,100%,Gambia,2.0,f +20165,94%,Ukraine,30.0,f +1403,100%,Somalia,1.0,t +33643,100%,Russian Federation,1.0,t +36566,100%,,1.0,f +24654,,,1.0,t +38429,83%,,2.0,f +22002,100%,Anguilla,2.0,t +47982,100%,Denmark,7.0,f +47982,100%,Denmark,7.0,f +47982,100%,Denmark,7.0,f +21559,75%,Tokelau,3.0,t +38623,50%,Croatia,2.0,f +7297,,,1.0,f +47610,100%,Uzbekistan,10.0,f +37690,,Papua New Guinea,1.0,f +28828,100%,Isle of Man,198.0,t +27389,100%,Tunisia,1.0,t +452,100%,Ghana,3.0,f +328,,Estonia,2.0,f +48007,100%,Uganda,3.0,t +48258,83%,Maldives,1.0,t +16295,96%,Philippines,5.0,f +25378,100%,Mauritania,1.0,f +9927,0%,French Polynesia,1.0,f +5941,100%,Gambia,2.0,f +20733,67%,Finland,1.0,t +13028,100%,Zimbabwe,2.0,t +21137,100%,Tanzania,2.0,t +48477,100%,Faroe Islands,1.0,f +20250,100%,Brazil,2.0,t +13940,100%,,1.0,f +11435,100%,,2.0,t +47982,100%,Denmark,7.0,f +47310,,,1.0,f +22721,100%,Ecuador,109.0,f +23452,100%,Philippines,4.0,f +47982,100%,Denmark,7.0,f +23452,100%,Philippines,4.0,f +42785,100%,Costa Rica,3.0,t +19384,100%,Cape Verde,4.0,f +25386,,,1.0,f +19756,,Marshall Islands,3.0,f +40647,100%,,1.0,f +43304,,Tonga,1.0,t +2124,100%,Somalia,2.0,f +48595,,Sao Tome and Principe,1.0,f +41689,100%,,1.0,f +46106,100%,,4.0,t +29232,100%,Nicaragua,9.0,f +28723,,Chile,1.0,t +28136,100%,Maldives,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +31446,100%,Faroe Islands,9.0,f +28030,90%,Anguilla,1.0,f +31709,100%,Togo,1.0,f +24211,70%,,1.0,f +21576,100%,,2.0,f +37051,,Lebanon,1.0,t +23597,,,1.0,f +31114,100%,,2.0,t +8707,73%,Rwanda,21.0,t +38615,,Isle of Man,1.0,f +21352,,,1.0,f +40798,100%,El Salvador,1.0,t +32903,100%,,2.0,f +28828,100%,Isle of Man,198.0,t +19214,100%,Senegal,55.0,f +42390,100%,Wallis and Futuna,96.0,t +43152,100%,Nicaragua,82.0,t +7954,100%,,3.0,f +28811,,Nicaragua,1.0,f +7954,100%,,3.0,f +28490,100%,,2.0,f +28490,100%,,2.0,f +41889,96%,Uzbekistan,14.0,t +33003,100%,Reunion,4.0,f +18072,99%,Montserrat,37.0,f +18072,99%,Montserrat,37.0,f +21198,100%,Isle of Man,1.0,f +12763,100%,Russian Federation,1.0,f +22282,0%,Netherlands Antilles,1.0,f +37606,,Reunion,2.0,f +21908,100%,Niue,49.0,f +37831,91%,Micronesia,2.0,f +18050,,Ghana,6.0,f +7954,100%,,3.0,f +39033,50%,Russian Federation,1.0,f +21866,,China,1.0,f +6342,100%,Marshall Islands,1.0,f +5420,100%,Tonga,41.0,f +48117,98%,Ukraine,41.0,f +7009,100%,Isle of Man,9.0,f +23126,100%,China,2.0,f +19454,,,1.0,f +29934,67%,Zimbabwe,3.0,f +26766,,Jersey,1.0,f +27659,100%,Turks and Caicos Islands,3.0,f +7812,100%,Bosnia and Herzegovina,8.0,f +46691,90%,Uzbekistan,38.0,f +18247,95%,Iran,80.0,t +18072,99%,Montserrat,37.0,f +8437,99%,Maldives,6.0,f +47572,,Gambia,1.0,f +18072,99%,Montserrat,37.0,f +40421,96%,Jersey,29.0,t +7730,100%,Mauritania,1.0,f +49525,,Estonia,4.0,f +14048,100%,Finland,6.0,t +7668,,,1.0,f +14872,,China,1.0,t +20358,100%,Vanuatu,1.0,t +27060,,Venezuela,1.0,f +10729,90%,Gibraltar,1.0,f +49829,,,1.0,f +14277,50%,Indonesia,1.0,t +42691,,Malta,1.0,f +18072,99%,Montserrat,37.0,f +39920,,Lebanon,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2447,100%,,2.0,f +40032,100%,El Salvador,16.0,f +38834,100%,Costa Rica,2.0,f +27700,100%,Turks and Caicos Islands,3.0,f +29758,,Micronesia,2.0,f +33119,100%,Kiribati,1.0,f +26102,,Kiribati,1.0,f +7473,,Zimbabwe,3.0,t +20165,94%,Ukraine,30.0,f +23927,100%,Uzbekistan,1.0,f +19549,0%,Kiribati,1.0,f +2447,100%,,2.0,f +41718,100%,Isle of Man,1.0,f +35074,100%,,1.0,t +35747,100%,Russian Federation,1.0,f +17965,100%,Mauritania,6.0,f +33157,100%,,1.0,f +29934,67%,Zimbabwe,3.0,f +33182,,Cook Islands,1.0,f +7776,,Puerto Rico,1.0,f +17965,100%,Mauritania,6.0,f +9963,,Russian Federation,1.0,f +16030,100%,Gambia,2.0,f +17965,100%,Mauritania,6.0,f +10524,89%,Netherlands,1.0,t +44857,100%,Zimbabwe,24.0,t +20584,100%,Togo,1.0,f +30129,,Kenya,1.0,f +11248,100%,,1.0,f +4037,100%,Kiribati,11.0,f +46261,100%,Andorra,3.0,t +24037,100%,Indonesia,1.0,t +24132,100%,Somalia,2.0,f +42215,,Bosnia and Herzegovina,5.0,f +41799,50%,Maldives,7.0,f +35750,100%,Zimbabwe,1.0,f +5882,100%,Nicaragua,1.0,f +7207,100%,Niger,1.0,f +18247,95%,Iran,80.0,t +39870,,Slovakia (Slovak Republic),21.0,t +31771,100%,Guinea,1.0,f +48117,98%,Ukraine,41.0,f +44121,100%,Nicaragua,5.0,f +17662,100%,Estonia,2.0,f +11809,100%,Russian Federation,1.0,f +45491,100%,France,1.0,f +25147,99%,Niger,48.0,f +48409,,Estonia,60.0,t +25570,,Nauru,6.0,f +35450,100%,Gibraltar,2.0,f +18072,99%,Montserrat,37.0,f +35751,,Isle of Man,2.0,t +18247,95%,Iran,80.0,t +48438,100%,Isle of Man,1.0,t +45822,100%,Chad,1.0,f +9846,100%,Indonesia,3.0,t +3341,50%,,4.0,f +48409,,Estonia,60.0,t +13020,,Spain,1.0,f +15702,80%,Greenland,2.0,f +41889,96%,Uzbekistan,14.0,t +9567,,,1.0,f +48048,100%,Marshall Islands,1.0,t +30194,100%,Wallis and Futuna,1.0,f +48409,,Estonia,60.0,t +36643,98%,Maldives,17.0,f +40364,100%,Tonga,25.0,f +24146,100%,Cocos (Keeling) Islands,1.0,f +48409,,Estonia,60.0,t +48460,,Reunion,2.0,t +48409,,Estonia,60.0,t +18247,95%,Iran,80.0,t +18247,95%,Iran,80.0,t +48409,,Estonia,60.0,t +47594,100%,Kenya,17.0,t +19199,,Chad,1.0,f +26965,,Tonga,1.0,f +17298,97%,Barbados,7.0,f +15162,100%,Isle of Man,1.0,f +47144,100%,Netherlands,1.0,f +18601,,,1.0,f +5420,100%,Tonga,41.0,f +43553,100%,,1.0,t +28079,,Niue,1.0,f +43496,100%,Montserrat,18.0,t +6079,,Niue,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +11549,100%,Zimbabwe,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +15790,0%,,1.0,f +11739,100%,,1.0,f +18247,95%,Iran,80.0,t +43686,100%,Somalia,2.0,f +5002,100%,Isle of Man,2.0,f +35376,100%,Malta,2.0,f +39425,100%,Micronesia,3.0,t +18795,,Maldives,1.0,f +49016,,,2.0,f +43870,100%,,1.0,f +5167,100%,Kenya,1.0,t +6667,100%,Faroe Islands,1.0,f +4526,100%,,4.0,f +37254,100%,Isle of Man,1.0,f +39859,100%,Netherlands,3.0,t +29232,100%,Nicaragua,9.0,f +16530,100%,Senegal,3.0,f +20503,,China,2.0,f +1207,100%,Nicaragua,7.0,f +3077,100%,Chile,3.0,t +389,,,1.0,t +33308,,Maldives,2.0,t +25549,100%,Guinea,1.0,f +39490,100%,Gambia,2.0,t +14596,100%,Nicaragua,1.0,f +40684,,,1.0,f +31023,90%,Uzbekistan,1.0,f +26254,100%,Gambia,3.0,f +24921,80%,El Salvador,2.0,f +47887,100%,,1.0,t +48269,,Gambia,2.0,f +16670,100%,Switzerland,1.0,t +26320,92%,Sao Tome and Principe,4.0,f +5284,,Faroe Islands,1.0,f +12577,100%,Gambia,1.0,f +18484,100%,Gambia,108.0,f +36805,80%,Cocos (Keeling) Islands,1.0,f +7751,,,1.0,t +8508,100%,,1.0,f +39143,89%,,33.0,f +17951,100%,Sao Tome and Principe,1.0,f +19469,100%,Russian Federation,1.0,f +30479,100%,French Guiana,1.0,t +18247,95%,Iran,80.0,t +8570,,Jersey,1.0,f +24775,97%,Montserrat,44.0,f +39143,89%,,33.0,f +34808,100%,,1.0,t +461,100%,Saint Helena,4.0,f +14032,,,9.0,f +21805,100%,Barbados,2.0,f +5120,100%,,1.0,f +29968,100%,French Guiana,1.0,f +41889,96%,Uzbekistan,14.0,t +27625,100%,Malta,2.0,f +47096,100%,Uzbekistan,1.0,f +32626,,,1.0,f +9363,95%,Ukraine,50.0,f +3122,100%,Peru,1.0,f +9363,95%,Ukraine,50.0,f +47631,100%,Faroe Islands,3.0,f +19059,100%,Zimbabwe,1.0,f +20334,99%,Niger,171.0,t +24670,100%,Denmark,1.0,t +11537,100%,Philippines,1.0,f +3886,100%,Russian Federation,3.0,f +34928,100%,Ecuador,4.0,f +43976,80%,Ecuador,2.0,t +18072,99%,Montserrat,37.0,f +3341,50%,,4.0,f +6685,100%,Fiji,1.0,f +28314,,Brazil,1.0,f +4851,0%,Chad,1.0,f +27301,,French Guiana,2.0,t +29717,100%,Kiribati,3.0,f +30555,100%,Saint Helena,2.0,f +18876,60%,Netherlands,26.0,f +24288,100%,Senegal,4.0,f +5652,92%,Montserrat,2.0,t +45989,90%,Isle of Man,1.0,f +20334,99%,Niger,171.0,t +30216,98%,Maldives,34.0,f +18876,60%,Netherlands,26.0,f +18072,99%,Montserrat,37.0,f +8338,75%,Korea,2.0,f +15041,,Christmas Island,3.0,f +24510,100%,,1.0,f +4538,100%,Russian Federation,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +6800,,Wallis and Futuna,1.0,t +33545,100%,,16.0,f +19214,100%,Senegal,55.0,f +33448,100%,Kenya,1.0,f +27666,100%,,1.0,f +19974,100%,Ukraine,3.0,f +9363,95%,Ukraine,50.0,f +49250,90%,Marshall Islands,2.0,f +1657,,Croatia,13.0,t +19019,97%,Nicaragua,1484.0,f +48316,100%,Peru,1.0,f +49546,,Guinea,1.0,t +34857,,Mauritania,1.0,t +9363,95%,Ukraine,50.0,f +19019,97%,Nicaragua,1484.0,f +36858,0%,Venezuela,1.0,f +31298,96%,,5.0,f +11187,,,1.0,f +3086,,,2.0,t +22471,,Estonia,1.0,t +21435,100%,Cape Verde,7.0,t +4778,100%,,2.0,f +25612,100%,Mauritania,1.0,f +19268,,Chile,1.0,f +11148,0%,,1.0,f +9525,,,1.0,f +36212,100%,Faroe Islands,2.0,f +32528,100%,,1.0,f +29232,100%,Nicaragua,9.0,f +43743,100%,,1.0,t +29232,100%,Nicaragua,9.0,f +19191,100%,Zimbabwe,1.0,f +39892,100%,Tonga,31.0,t +46422,,,1.0,t +44925,100%,,1.0,f +4330,94%,Ukraine,60.0,t +37459,100%,,4.0,f +26130,94%,Sao Tome and Principe,4.0,t +22250,100%,,4.0,f +42281,100%,Marshall Islands,39.0,f +6020,100%,Isle of Man,1.0,t +8453,100%,Rwanda,6.0,t +48178,17%,Estonia,5.0,t +11794,100%,Ecuador,1.0,f +20641,,Niue,1.0,t +33198,100%,Mauritania,12.0,f +2984,,France,1.0,f +205,100%,,2.0,f +14331,100%,Estonia,3.0,t +43918,100%,Faroe Islands,1.0,f +18072,99%,Montserrat,37.0,f +22594,100%,Rwanda,12.0,f +1721,100%,Ecuador,5.0,f +1721,100%,Ecuador,5.0,f +27701,,Marshall Islands,1.0,f +24140,,Greenland,2.0,f +8039,100%,Croatia,1.0,f +20191,,French Guiana,1.0,f +35744,90%,Russian Federation,1.0,f +19091,95%,Cook Islands,18.0,t +22732,,France,1.0,f +23862,,Kenya,1.0,t +48123,100%,,1.0,f +28587,100%,,1.0,f +18072,99%,Montserrat,37.0,f +25126,100%,Bouvet Island (Bouvetoya),1.0,f +36699,100%,Uzbekistan,1.0,f +47985,100%,Guinea,1.0,f +28892,,Niger,1.0,f +36093,100%,Denmark,18.0,t +2168,100%,Nicaragua,5.0,f +34503,100%,Slovakia (Slovak Republic),1.0,t +942,,Monaco,2.0,f +22630,,Anguilla,2.0,f +23430,100%,Reunion,16.0,f +7791,100%,Grenada,2.0,f +19372,100%,Chad,3.0,f +34400,100%,,1.0,t +337,100%,,2.0,t +32025,100%,Costa Rica,1.0,f +12770,100%,,1.0,t +29854,100%,Russian Federation,1.0,t +25206,,Iceland,2.0,t +6510,70%,,2.0,f +11636,100%,Marshall Islands,1.0,f +36011,,,1.0,f +45443,,Uganda,1.0,f +6165,,Maldives,1.0,t +23078,100%,Ukraine,8.0,f +24349,100%,Guinea,2.0,t +25503,100%,Gambia,1.0,t +43520,,Malta,1.0,f +30699,,French Guiana,2.0,t +36711,100%,Nicaragua,1.0,f +22174,100%,Russian Federation,1.0,f +39276,100%,Estonia,3.0,f +29279,,Denmark,1.0,f +47672,100%,,5.0,f +43350,100%,Isle of Man,2.0,t +41000,,China,2.0,f +47497,100%,Micronesia,1.0,f +9875,100%,Monaco,1.0,f +3336,,Faroe Islands,1.0,f +48269,,Gambia,2.0,f +3806,,,11.0,f +39860,100%,,2.0,f +7536,,Nauru,1.0,f +40993,100%,Montserrat,15.0,f +9530,,France,1.0,f +3341,50%,,4.0,f +20334,99%,Niger,171.0,t +657,100%,Marshall Islands,2.0,f +2008,100%,,1.0,t +35512,100%,,1.0,f +18484,100%,Gambia,108.0,f +22540,,,1.0,t +12406,,,1.0,f +3341,50%,,4.0,f +34380,,Denmark,1.0,f +45852,100%,Canada,1.0,f +34547,,Gibraltar,1.0,f +34042,100%,Marshall Islands,37.0,f +3328,,China,1.0,f +30658,100%,United Kingdom,2.0,f +5346,100%,,1.0,f +35854,100%,Mexico,1.0,f +47870,,Lebanon,1.0,f +40090,100%,Portugal,1.0,f +48339,100%,Slovakia (Slovak Republic),2.0,f +21606,,France,1.0,f +2670,100%,Costa Rica,4.0,t +44102,100%,Russian Federation,1.0,t +18876,60%,Netherlands,26.0,f +27533,88%,,1.0,f +874,100%,Puerto Rico,5.0,f +40793,100%,,75.0,t +18876,60%,Netherlands,26.0,f +25035,,Micronesia,2.0,f +36093,100%,Denmark,18.0,t +11431,100%,Isle of Man,1.0,f +34042,100%,Marshall Islands,37.0,f +21143,100%,Mexico,2.0,f +9934,100%,,2.0,f +10042,,Indonesia,21.0,f +30786,,Uzbekistan,29.0,f +36093,100%,Denmark,18.0,t +173,100%,,4.0,f +14931,100%,Jersey,4.0,f +30146,100%,El Salvador,1.0,f +4347,,Isle of Man,1.0,f +1962,100%,,7.0,f +19214,100%,Senegal,55.0,f +24822,100%,Kiribati,1.0,f +173,100%,,4.0,f +173,100%,,4.0,f +7021,100%,,1.0,t +20329,100%,Reunion,21.0,f +4047,70%,,1.0,f +18484,100%,Gambia,108.0,f +25147,99%,Niger,48.0,f +27289,99%,Reunion,12.0,t +1962,100%,,7.0,f +16695,96%,Tonga,8.0,f +173,100%,,4.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +36701,,,5.0,f +40303,100%,Guinea,82.0,f +9934,100%,,2.0,f +46178,90%,,1.0,f +17789,94%,Reunion,6.0,f +17789,94%,Reunion,6.0,f +10466,100%,Papua New Guinea,2.0,f +6189,100%,Anguilla,1.0,f +22589,100%,Marshall Islands,1.0,f +43402,,,1.0,t +42715,100%,Niue,6.0,t +43336,,France,1.0,f +18286,100%,,1.0,t +42338,,Anguilla,2.0,f +35465,,,1.0,t +4235,,Bosnia and Herzegovina,3.0,f +4446,100%,Uganda,58.0,f +874,100%,Puerto Rico,5.0,f +41665,100%,Denmark,1.0,f +874,100%,Puerto Rico,5.0,f +12837,100%,Peru,1.0,f +10434,100%,United Kingdom,4.0,f +40626,93%,United Kingdom,5.0,t +18665,100%,,1.0,t +40941,94%,Russian Federation,4.0,t +14465,100%,Costa Rica,2.0,t +75,0%,,1.0,f +43851,100%,Estonia,1.0,f +20773,,Malawi,1.0,f +19515,90%,Isle of Man,1.0,f +34914,100%,Puerto Rico,1.0,f +23930,,Vanuatu,1.0,t +31252,80%,Lithuania,2.0,f +24815,50%,Denmark,1.0,f +457,100%,,1.0,f +45206,100%,Ecuador,2.0,t +47962,,Faroe Islands,1.0,f +7592,98%,,13.0,t +46106,100%,,4.0,t +49885,100%,El Salvador,1.0,f +30786,,Uzbekistan,29.0,f +41934,100%,,2.0,f +45895,,Niue,2.0,f +2168,100%,Nicaragua,5.0,f +23046,,Zimbabwe,1.0,f +43237,40%,Montserrat,24.0,f +9345,100%,Bosnia and Herzegovina,4.0,f +15166,,Lithuania,1.0,f +42091,,Zimbabwe,1.0,f +49671,100%,Senegal,2.0,t +39283,100%,Uganda,13.0,f +1043,,,1.0,f +13521,100%,Guernsey,2.0,t +24228,100%,Faroe Islands,1.0,f +8355,87%,Togo,16.0,f +452,100%,Ghana,3.0,f +49843,100%,,1.0,f +23711,,Sudan,3.0,t +29427,100%,Costa Rica,1.0,f +47746,,Niue,1.0,f +11359,100%,,1.0,t +38834,100%,Costa Rica,2.0,f +32825,100%,Marshall Islands,1.0,f +37078,100%,Gambia,1.0,f +6251,,Turks and Caicos Islands,1.0,f +44745,100%,,3.0,f +40403,100%,Zimbabwe,2.0,f +10134,100%,Uzbekistan,7.0,t +19214,100%,Senegal,55.0,f +37907,100%,Malta,1.0,f +3806,,,11.0,f +49859,0%,Nicaragua,6.0,f +18078,100%,Montserrat,13.0,t +22964,,Micronesia,1.0,f +5179,,,12.0,f +49859,0%,Nicaragua,6.0,f +42356,100%,Pakistan,1.0,f +29232,100%,Nicaragua,9.0,f +29232,100%,Nicaragua,9.0,f +29232,100%,Nicaragua,9.0,f +38041,75%,,2.0,t +18591,100%,Brazil,1.0,f +7105,100%,,1.0,f +27667,33%,,2.0,f +25991,100%,Greenland,4.0,f +13364,91%,Netherlands,21.0,f +37234,100%,Gambia,1.0,f +8614,100%,Guernsey,1.0,f +10544,100%,France,2.0,f +36970,67%,Micronesia,1.0,t +29941,100%,Netherlands,2.0,f +36022,100%,,1.0,f +26287,100%,Tonga,2.0,f +46939,71%,,1.0,t +12881,100%,Turks and Caicos Islands,1.0,f +29962,100%,,1.0,f +23850,88%,,1.0,f +25991,100%,Greenland,4.0,f +49388,100%,Vietnam,4.0,t +25991,100%,Greenland,4.0,f +49388,100%,Vietnam,4.0,t +26282,,Bouvet Island (Bouvetoya),1.0,f +26631,100%,Russian Federation,1.0,f +28579,100%,China,1.0,t +10204,100%,Nicaragua,5.0,t +32570,,Guinea,4.0,t +19996,,,1.0,f +3601,100%,,2.0,f +2186,,,1.0,f +31992,,Niue,1.0,f +13838,100%,Montserrat,10.0,f +36768,100%,Guinea,2.0,f +34291,100%,Montserrat,1.0,t +15642,,Brazil,3.0,f +22403,100%,,1.0,f +31431,100%,Kiribati,2.0,t +19214,100%,Senegal,55.0,f +3696,0%,,1.0,f +37282,100%,,3.0,f +34784,60%,Faroe Islands,19.0,t +45012,,,1.0,t +29687,,Papua New Guinea,1.0,f +44978,,Philippines,1.0,f +24015,,Turkmenistan,2.0,f +31594,100%,Philippines,19.0,t +10993,,Mauritania,8.0,f +10993,,Mauritania,8.0,f +10993,,Mauritania,8.0,f +6266,100%,,4.0,f +10993,,Mauritania,8.0,f +45490,95%,Barbados,6.0,f +6266,100%,,4.0,f +31105,,Croatia,1.0,f +12502,89%,Denmark,1.0,f +41333,100%,Turks and Caicos Islands,2.0,f +22281,100%,Micronesia,3.0,f +3601,100%,,2.0,f +44934,100%,Philippines,17.0,f +45322,100%,,1.0,f +16505,100%,,1.0,f +42715,100%,Niue,6.0,t +17967,100%,El Salvador,2.0,f +3706,100%,,3.0,t +48176,,Marshall Islands,2.0,t +30088,,,1.0,f +25147,99%,Niger,48.0,f +15313,,Chad,1.0,f +34394,,Niue,1.0,f +10908,100%,Montserrat,1.0,f +29647,100%,Peru,1305.0,f +47913,0%,Monaco,1.0,f +45096,,Malawi,1.0,t +15102,100%,Malta,1.0,f +2523,100%,Zimbabwe,1.0,f +8752,100%,,2.0,f +15797,100%,Micronesia,2.0,f +34092,100%,Togo,1.0,f +5590,,Denmark,1.0,f +23913,100%,Niue,1.0,t +7395,100%,Niue,1.0,f +25147,99%,Niger,48.0,f +31979,100%,Kenya,10.0,f +18072,99%,Montserrat,37.0,f +2801,100%,,1.0,f +8343,,,1.0,f +28815,,,1.0,f +40065,,Guinea,1.0,f +30027,67%,Korea,2.0,f +20175,,Libyan Arab Jamahiriya,1.0,t +13958,,Uzbekistan,1.0,f +32157,,Uzbekistan,2.0,t +18072,99%,Montserrat,37.0,f +22973,100%,,2.0,f +47936,100%,Mauritania,2.0,f +38541,,,1.0,f +29399,,,1.0,t +44277,100%,Guernsey,1.0,f +36392,,Costa Rica,1.0,f +47686,100%,Spain,1.0,f +18235,,Denmark,1.0,f +17108,100%,Kiribati,3.0,f +33649,100%,,1.0,f +26985,100%,,1.0,f +2404,,Barbados,3.0,t +41950,100%,Montserrat,1.0,f +27650,100%,Slovenia,1.0,t +23158,100%,,1.0,f +47611,100%,,1.0,t +30003,,Sao Tome and Principe,1.0,f +42116,100%,,1.0,t +41556,100%,,1.0,t +33635,,Reunion,1.0,f +11020,,Guernsey,1.0,t +16471,,,3.0,f +22773,,,2.0,t +10253,,,1.0,f +26888,60%,Lebanon,1.0,f +12491,100%,Pakistan,3.0,f +14317,89%,Monaco,1.0,t +4447,100%,Micronesia,2.0,f +49070,100%,Uzbekistan,1.0,f +8054,,Russian Federation,1.0,f +4447,100%,Micronesia,2.0,f +48154,,Lebanon,2.0,f +6894,80%,Estonia,47.0,t +2547,,Chile,1.0,f +20986,,,1.0,t +45507,,,1.0,f +41638,100%,Malawi,1.0,f +29077,100%,Moldova,1.0,t +4442,,Turks and Caicos Islands,1.0,f +34290,80%,Guinea,2.0,f +20569,100%,Montserrat,3.0,t +23327,100%,Uzbekistan,4.0,t +9946,100%,Uganda,1.0,t +44412,100%,Gambia,2.0,f +9088,,Denmark,1.0,f +4446,100%,Uganda,58.0,f +49250,90%,Marshall Islands,2.0,f +41731,100%,,1.0,f +24594,100%,Rwanda,14.0,f +43289,,Uzbekistan,8.0,f +29937,50%,Faroe Islands,1.0,f +43289,,Uzbekistan,8.0,f +17833,100%,Gambia,2.0,f +46638,,,1.0,f +43316,100%,Indonesia,23.0,f +45662,89%,,1.0,t +1475,,,1.0,t +2639,,Uzbekistan,1.0,f +45051,100%,Bouvet Island (Bouvetoya),1.0,f +21526,,Micronesia,1.0,f +24026,98%,Cape Verde,69.0,t +27664,100%,Niue,1.0,f +30991,100%,,1.0,t +47817,100%,Saint Helena,2.0,f +35836,,,1.0,f +13641,85%,Mauritania,23.0,f +17619,74%,Ghana,14.0,f +8666,50%,,2.0,t +921,100%,Finland,1.0,f +25147,99%,Niger,48.0,f +36178,100%,,4.0,t +28296,89%,Maldives,3.0,t +20199,83%,Rwanda,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +42715,100%,Niue,6.0,t +42034,,Montserrat,1.0,f +19217,98%,Marshall Islands,46.0,f +9044,80%,Guinea,1.0,f +38098,100%,Zimbabwe,7.0,t +20539,100%,Chad,5.0,f +16981,100%,Nicaragua,1.0,f +6894,80%,Estonia,47.0,t +28828,100%,Isle of Man,198.0,t +39172,100%,Russian Federation,1.0,f +18966,100%,,2.0,f +19319,100%,Sao Tome and Principe,3.0,f +16896,100%,,4.0,f +16896,100%,,4.0,f +16896,100%,,4.0,f +48040,50%,,1.0,f +16896,100%,,4.0,f +39231,,Malawi,1.0,t +302,100%,Tunisia,20.0,f +3817,0%,,1.0,f +10157,0%,Tonga,2.0,f +13363,,Isle of Man,1.0,f +35439,94%,United Kingdom,23.0,t +31093,75%,Mauritania,1.0,f +27047,100%,France,1.0,f +7177,100%,Sao Tome and Principe,1.0,f +40303,100%,Guinea,82.0,f +7524,,,1.0,f +48409,,Estonia,60.0,t +47658,100%,Micronesia,3.0,f +9363,95%,Ukraine,50.0,f +26977,100%,Somalia,1.0,f +10597,,Reunion,1.0,f +43022,100%,Svalbard & Jan Mayen Islands,1.0,f +16459,100%,Saint Helena,1.0,f +21709,100%,Maldives,2.0,f +40981,,,1.0,f +32496,100%,,1.0,f +27707,100%,Korea,1.0,f +25317,100%,,3.0,t +47922,,Christmas Island,1.0,f +25607,90%,,1.0,f +48464,100%,,1.0,t +45474,100%,El Salvador,4.0,t +38475,100%,Zimbabwe,1.0,f +35278,100%,Jersey,1.0,f +48514,,Faroe Islands,1.0,f +18854,,Maldives,1.0,f +26320,92%,Sao Tome and Principe,4.0,f +33185,100%,Montserrat,2.0,t +25020,,Russian Federation,1.0,f +11153,100%,United Kingdom,2.0,f +29867,100%,Peru,2.0,t +15943,100%,Puerto Rico,2.0,f +3997,,Russian Federation,1.0,f +39580,100%,Tonga,3.0,f +31884,83%,,2.0,f +40977,100%,Reunion,7.0,f +42051,100%,Nicaragua,11.0,t +18876,60%,Netherlands,26.0,f +39139,80%,,2.0,f +13370,,,1.0,f +11469,100%,Guinea,2.0,f +13070,100%,Fiji,45.0,f +20334,99%,Niger,171.0,t +35071,100%,,1.0,f +35753,93%,Cocos (Keeling) Islands,3.0,t +22182,100%,,1.0,f +12818,,Chile,4.0,f +42390,100%,Wallis and Futuna,96.0,t +25147,99%,Niger,48.0,f +37888,89%,Niger,79.0,f +19281,100%,Chad,1.0,t +12382,100%,,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +26274,100%,Niue,1.0,f +25570,,Nauru,6.0,f +25423,100%,Isle of Man,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +35910,,Brazil,1.0,f +12967,100%,,1.0,f +44960,,,2.0,f +40774,,Mauritania,2.0,f +23022,67%,Niue,10.0,t +40155,100%,Tonga,4.0,f +21523,,,1.0,f +31465,100%,,1.0,f +10644,,Guernsey,4.0,t +44862,100%,Djibouti,12.0,f +22523,100%,Rwanda,9.0,f +49398,88%,Barbados,18.0,t +44862,100%,Djibouti,12.0,f +36772,100%,Lebanon,1.0,f +46573,,Turks and Caicos Islands,1.0,f +47934,,Senegal,1.0,f +25147,99%,Niger,48.0,f +5631,,Uzbekistan,1.0,t +18072,99%,Montserrat,37.0,f +41928,87%,Nicaragua,9.0,f +4348,,,1.0,f +5875,100%,,2.0,f +1310,83%,Barbados,5.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2998,70%,France,4.0,t +39744,,,1.0,f +10832,100%,Uruguay,1.0,f +49930,50%,Finland,2.0,t +36817,91%,Slovakia (Slovak Republic),6.0,f +18072,99%,Montserrat,37.0,f +23430,100%,Reunion,16.0,f +15492,,Costa Rica,1.0,f +39247,100%,,1.0,f +35756,100%,Mauritania,1.0,f +3019,100%,Barbados,18.0,f +45905,100%,Sao Tome and Principe,3.0,t +1962,100%,,7.0,f +42281,100%,Marshall Islands,39.0,f +16773,80%,Niue,2.0,t +37707,33%,,2.0,f +26410,76%,,4.0,f +37707,33%,,2.0,f +27597,100%,Portugal,7.0,t +21062,100%,,1.0,f +21354,,Kenya,1.0,f +18550,100%,Turks and Caicos Islands,1.0,f +24103,100%,United Kingdom,3.0,f +5710,100%,,1.0,t +19797,,Isle of Man,1.0,f +32770,,,3.0,t +48241,33%,Russian Federation,1.0,t +32770,,,3.0,t +35585,,Bouvet Island (Bouvetoya),2.0,f +38493,,Uzbekistan,12.0,f +32268,100%,Russian Federation,1.0,f +44862,100%,Djibouti,12.0,f +44862,100%,Djibouti,12.0,f +11823,70%,,7.0,f +44862,100%,Djibouti,12.0,f +44862,100%,Djibouti,12.0,f +44862,100%,Djibouti,12.0,f +15847,,Uganda,13.0,f +13082,100%,Kiribati,3.0,t +34347,,,1.0,f +33070,,,1.0,f +23281,100%,Isle of Man,1.0,t +10596,100%,Holy See (Vatican City State),1.0,f +5592,,Philippines,1.0,f +5206,82%,Togo,2.0,f +8970,70%,Faroe Islands,2.0,t +32655,,,2.0,f +18072,99%,Montserrat,37.0,f +6771,100%,Svalbard & Jan Mayen Islands,1.0,f +37888,89%,Niger,79.0,f +45243,100%,,3.0,t +1207,100%,Nicaragua,7.0,f +25147,99%,Niger,48.0,f +6723,100%,Kenya,1.0,f +5315,,Niue,1.0,f +44423,100%,Micronesia,1.0,f +18072,99%,Montserrat,37.0,f +4000,,Malta,1.0,t +9852,100%,Maldives,11.0,f +8355,87%,Togo,16.0,f +16496,97%,Maldives,4.0,f +8355,87%,Togo,16.0,f +4796,,,1.0,f +23878,,Bosnia and Herzegovina,1.0,t +5359,,Moldova,1.0,f +41301,100%,Costa Rica,9.0,t +25342,,France,1.0,f +19529,100%,Niue,1.0,t +44520,100%,Uruguay,1.0,f +38928,59%,,2.0,t +25212,100%,Gambia,1.0,f +18876,60%,Netherlands,26.0,f +19217,98%,Marshall Islands,46.0,f +18072,99%,Montserrat,37.0,f +38253,,Zimbabwe,1.0,f +35151,,,1.0,f +18876,60%,Netherlands,26.0,f +20165,94%,Ukraine,30.0,f +9965,100%,Maldives,1.0,f +31574,,Gambia,1.0,f +4330,94%,Ukraine,60.0,t +28051,100%,Marshall Islands,1.0,f +1389,100%,Gambia,1.0,t +45828,90%,Togo,9.0,f +18876,60%,Netherlands,26.0,f +36677,100%,Maldives,6.0,f +7056,100%,,2.0,t +25147,99%,Niger,48.0,f +13212,100%,Zimbabwe,12.0,t +27833,,Cook Islands,1.0,f +14168,50%,Nicaragua,1.0,f +17916,75%,Togo,1.0,f +32038,100%,Indonesia,35.0,f +40030,,French Guiana,1.0,f +14081,100%,Moldova,1.0,f +13901,100%,Indonesia,1.0,f +22755,,,8.0,t +20165,94%,Ukraine,30.0,f +30395,100%,Gibraltar,1.0,f +22755,,,8.0,t +45184,100%,Jersey,1.0,f +35985,100%,,1.0,f +21392,50%,,2.0,t +3019,100%,Barbados,18.0,f +16790,100%,Vanuatu,1.0,f +48966,100%,Tanzania,2.0,f +37722,,Niue,1.0,f +5193,100%,Ecuador,1.0,t +43105,,El Salvador,1.0,t +10573,,,1.0,f +31647,100%,,1.0,f +49475,100%,,1.0,f +11306,100%,Togo,2.0,f +7366,100%,,1.0,f +7418,100%,Canada,2.0,f +13280,100%,Vanuatu,2.0,t +44458,,Micronesia,1.0,f +5435,100%,,2.0,f +1714,100%,Costa Rica,3.0,f +24328,100%,Lithuania,1.0,f +38400,100%,,1.0,f +26269,100%,,4.0,f +31958,,,1.0,f +18876,60%,Netherlands,26.0,f +30341,,Ecuador,1.0,f +13641,85%,Mauritania,23.0,f +5313,90%,Cook Islands,4.0,f +5313,90%,Cook Islands,4.0,f +17879,,Djibouti,1.0,f +44278,90%,Turkmenistan,3.0,t +35878,,Chad,2.0,t +43103,100%,Monaco,3.0,t +44960,,,2.0,f +3446,,China,3.0,f +20153,96%,Reunion,51.0,f +19122,,Faroe Islands,1.0,f +13594,,,1.0,t +37100,100%,Kenya,1.0,t +32646,,Tanzania,2.0,t +13197,100%,France,3.0,f +27986,86%,France,1.0,f +25147,99%,Niger,48.0,f +33637,100%,Russian Federation,2.0,f +7610,98%,,6.0,f +7610,98%,,6.0,f +7610,98%,,6.0,f +7610,98%,,6.0,f +7610,98%,,6.0,f +7610,98%,,6.0,f +20334,99%,Niger,171.0,t +7050,,Russian Federation,1.0,f +37415,100%,Mexico,2.0,f +21173,,Niue,3.0,t +3524,100%,Ghana,5.0,f +32203,100%,Barbados,176.0,f +8935,25%,Kenya,2.0,f +28603,,Guinea,1.0,f +11744,100%,Kenya,4.0,f +49837,,,1.0,f +12785,50%,Rwanda,1.0,t +41245,100%,Niue,1.0,f +4217,,Kenya,52.0,f +18484,100%,Gambia,108.0,f +42868,100%,France,2.0,t +11753,100%,Gambia,11.0,t +32203,100%,Barbados,176.0,f +43071,100%,Maldives,14.0,f +18072,99%,Montserrat,37.0,f +43071,100%,Maldives,14.0,f +43071,100%,Maldives,14.0,f +10875,100%,Niue,2.0,f +9959,100%,Tanzania,2.0,f +47065,,Cocos (Keeling) Islands,1.0,f +16431,100%,Gambia,1.0,t +18876,60%,Netherlands,26.0,f +35221,100%,Turks and Caicos Islands,30.0,t +32203,100%,Barbados,176.0,f +12530,100%,Malta,1.0,f +39952,100%,Tonga,21.0,f +18077,100%,Sao Tome and Principe,139.0,f +28828,100%,Isle of Man,198.0,t +19084,,,1.0,f +36714,100%,Canada,1.0,t +35436,99%,Nicaragua,21.0,f +39952,100%,Tonga,21.0,f +26094,56%,,1.0,f +40303,100%,Guinea,82.0,f +32038,100%,Indonesia,35.0,f +45677,100%,Monaco,1.0,f +10168,100%,,1.0,t +45497,,,1.0,f +3315,80%,Chad,1.0,f +15510,100%,Montserrat,1.0,f +48454,63%,Rwanda,1.0,f +6088,100%,,14.0,t +32351,,Isle of Man,2.0,t +18840,,Turkmenistan,2.0,f +7834,94%,Mexico,13.0,f +5161,,Papua New Guinea,2.0,t +49484,,Russian Federation,1.0,f +10875,100%,Niue,2.0,f +36408,100%,Nauru,5.0,f +26193,88%,,3.0,f +32351,,Isle of Man,2.0,t +33449,,,1.0,f +18049,,Moldova,1.0,t +5881,100%,Kiribati,2.0,f +35197,,Denmark,1.0,f +19307,,,1.0,f +14812,100%,,1.0,t +5230,100%,Brazil,3.0,f +665,100%,Greenland,2.0,t +16872,100%,Malta,1.0,f +15583,100%,,1.0,t +2539,100%,Jersey,1.0,f +24282,,Guinea,1.0,f +26993,100%,El Salvador,1.0,f +31299,,Zimbabwe,1.0,f +8438,62%,Nicaragua,9.0,t +8438,62%,Nicaragua,9.0,t +41640,100%,Guinea,2.0,f +7432,100%,Zimbabwe,2.0,f +43055,100%,Malawi,2.0,f +3524,100%,Ghana,5.0,f +24589,100%,Uzbekistan,2.0,f +31491,100%,Isle of Man,3.0,f +30306,0%,Uzbekistan,1.0,f +11122,100%,Isle of Man,1.0,t +11873,100%,Kiribati,1.0,f +11223,88%,,1.0,t +36637,,China,11.0,f +29647,100%,Peru,1305.0,f +21284,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +47148,100%,,1.0,f +15173,100%,Maldives,1.0,f +41461,100%,,1.0,f +36637,,China,11.0,f +7211,,Micronesia,1.0,f +36637,,China,11.0,f +5057,100%,Zimbabwe,23.0,t +20039,75%,Jersey,2.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +42213,100%,Lithuania,1.0,t +6010,100%,Isle of Man,1.0,t +44171,80%,Reunion,1.0,t +40650,,,8.0,t +39594,,Sao Tome and Principe,3.0,f +48122,60%,,3.0,f +35948,100%,Brazil,8.0,f +18788,100%,Isle of Man,1.0,f +13206,100%,Costa Rica,1.0,f +28789,100%,,3.0,t +28789,100%,,3.0,t +31995,100%,Portugal,2.0,f +15847,,Uganda,13.0,f +20507,,Ecuador,1.0,t +45162,,Maldives,20.0,f +29644,100%,,1.0,t +16194,100%,Turks and Caicos Islands,1.0,f +3539,,,2.0,f +43798,100%,El Salvador,4.0,t +14160,90%,Slovakia (Slovak Republic),4.0,t +37296,,Malta,2.0,t +12309,100%,Guernsey,1.0,t +49740,,France,1.0,f +36415,,Isle of Man,1.0,f +31387,100%,Isle of Man,2.0,f +19753,67%,Saint Helena,1.0,t +25780,100%,United Kingdom,2.0,t +34803,100%,Brazil,2.0,f +7886,,Puerto Rico,1.0,f +49531,100%,,1.0,f +9255,,Vietnam,10.0,f +4201,,Marshall Islands,1.0,t +20202,,,2.0,f +37546,100%,Rwanda,3.0,f +9326,100%,Mauritania,1.0,f +9255,,Vietnam,10.0,f +9255,,Vietnam,10.0,f +3524,100%,Ghana,5.0,f +43772,50%,Mexico,12.0,t +35037,100%,Faroe Islands,1.0,f +14192,100%,Denmark,2.0,f +5185,0%,Gambia,12.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +32644,100%,Niue,1.0,f +41928,87%,Nicaragua,9.0,f +49781,,Philippines,5.0,f +24506,,,1.0,f +33556,88%,Kiribati,1.0,f +1567,100%,Senegal,1.0,f +2304,100%,Isle of Man,1.0,t +46895,,Turks and Caicos Islands,1.0,f +43244,100%,France,2.0,t +13847,100%,Turks and Caicos Islands,14.0,f +25981,,Russian Federation,1.0,t +45958,100%,Maldives,1.0,t +35259,,Nauru,1.0,f +25194,100%,Netherlands,1.0,f +19824,100%,Russian Federation,2.0,t +11862,89%,,1.0,f +44955,90%,,1.0,f +16969,100%,,1.0,t +41757,100%,Malta,5.0,f +45717,100%,,1.0,f +38860,100%,Zimbabwe,1.0,f +27652,100%,El Salvador,5.0,f +15974,100%,,3.0,f +24667,,Faroe Islands,1.0,f +39462,,,1.0,f +40814,100%,Isle of Man,1.0,f +34954,100%,,1.0,t +25039,,Saint Helena,7.0,t +31787,,France,1.0,f +45684,100%,,1.0,t +7985,100%,Portugal,1.0,f +26919,100%,Djibouti,4.0,t +21745,,Cook Islands,1.0,f +19824,100%,Russian Federation,2.0,t +31035,100%,Sao Tome and Principe,3.0,f +43071,100%,Maldives,14.0,f +43142,100%,Uzbekistan,3.0,t +22523,100%,Rwanda,9.0,f +14413,100%,,1.0,f +30415,,Estonia,1.0,f +38137,99%,Zimbabwe,16.0,f +20153,96%,Reunion,51.0,f +42807,,,1.0,f +25522,,Isle of Man,1.0,f +49511,100%,,1.0,f +2262,100%,Tonga,1.0,f +23034,99%,Monaco,54.0,f +23034,99%,Monaco,54.0,f +19592,100%,Monaco,3.0,t +22073,,Zimbabwe,1.0,t +39673,90%,,1.0,f +38207,100%,Turks and Caicos Islands,2.0,t +37888,89%,Niger,79.0,f +31491,100%,Isle of Man,3.0,f +17805,100%,Zimbabwe,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +31728,100%,,1.0,f +10647,100%,Uruguay,2.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +364,,,4.0,f +37888,89%,Niger,79.0,f +44406,100%,,2.0,f +44406,100%,,2.0,f +309,,Ecuador,1.0,f +4206,100%,Sao Tome and Principe,2.0,f +9464,100%,Barbados,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37412,100%,Canada,1.0,f +11384,90%,Sao Tome and Principe,2.0,f +11672,100%,Kiribati,6.0,t +39194,,Ghana,1.0,t +47775,100%,French Guiana,6.0,f +44712,,Nicaragua,1.0,f +7812,100%,Bosnia and Herzegovina,8.0,f +11255,93%,Suriname,41.0,f +30456,78%,Uzbekistan,1.0,f +31815,100%,El Salvador,1.0,f +42286,94%,Vietnam,9.0,t +26576,100%,Nicaragua,1.0,f +47654,83%,Turkmenistan,1.0,f +36750,100%,Jersey,3.0,f +32747,60%,Malawi,1.0,f +26899,,Rwanda,1.0,f +9363,95%,Ukraine,50.0,f +21792,,Palestinian Territory,1.0,f +4291,100%,Micronesia,1.0,f +39109,77%,Ukraine,24.0,t +42908,90%,,2.0,f +6232,,Guinea,15.0,t +41043,100%,Bosnia and Herzegovina,11.0,f +38021,100%,Bahrain,2.0,f +27177,,,1.0,f +12871,100%,,1.0,f +18072,99%,Montserrat,37.0,f +36206,86%,Russian Federation,10.0,f +18077,100%,Sao Tome and Principe,139.0,f +3417,,Fiji,32.0,t +7812,100%,Bosnia and Herzegovina,8.0,f +49172,100%,Ecuador,2.0,f +36032,,,1.0,f +1962,100%,,7.0,f +44970,91%,Russian Federation,1.0,f +1870,,Gambia,1.0,t +15847,,Uganda,13.0,f +346,,,1.0,f +49649,100%,Russian Federation,4.0,f +24126,100%,Turkmenistan,1.0,t +22905,100%,Niue,3.0,f +44683,100%,,1.0,f +42281,100%,Marshall Islands,39.0,f +11340,50%,,5.0,f +35720,100%,,2.0,f +33269,,Ecuador,4.0,f +36716,100%,Bosnia and Herzegovina,3.0,f +13937,100%,Isle of Man,1.0,f +36317,,Uzbekistan,1.0,f +2650,100%,Kiribati,2.0,f +40372,100%,Costa Rica,2.0,f +27516,,Papua New Guinea,1.0,t +47863,,Greenland,1.0,f +10496,,Faroe Islands,1.0,t +19298,89%,Croatia,2.0,f +22445,96%,,2.0,f +33003,100%,Reunion,4.0,f +38728,100%,,1.0,f +16573,100%,Cuba,2.0,f +49859,0%,Nicaragua,6.0,f +18290,100%,,2.0,f +15332,100%,Anguilla,9.0,f +27245,90%,Costa Rica,2.0,f +49565,92%,Uganda,14.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +31751,100%,Nicaragua,29.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +26320,92%,Sao Tome and Principe,4.0,f +17619,74%,Ghana,14.0,f +6783,,,1.0,f +45061,,Montserrat,1.0,f +31491,100%,Isle of Man,3.0,f +31035,100%,Sao Tome and Principe,3.0,f +49595,,,3.0,f +49595,,,3.0,f +10614,100%,Vanuatu,1.0,f +26719,,Indonesia,2.0,f +49607,100%,Niue,1.0,f +36969,100%,,4.0,f +7170,100%,Russian Federation,1.0,f +48647,90%,Montserrat,3.0,f +38603,,Niue,1.0,f +3209,,Niue,1.0,f +42352,,Brazil,1.0,f +42577,100%,Uganda,1.0,f +10306,80%,Denmark,1.0,f +36969,100%,,4.0,f +18077,100%,Sao Tome and Principe,139.0,f +5420,100%,Tonga,41.0,f +25147,99%,Niger,48.0,f +36969,100%,,4.0,f +43286,,Fiji,8.0,t +43071,100%,Maldives,14.0,f +36969,100%,,4.0,f +3265,100%,Sao Tome and Principe,1.0,f +49398,88%,Barbados,18.0,t +17357,100%,El Salvador,1.0,f +886,100%,Faroe Islands,1.0,f +25414,90%,Gambia,2.0,f +25147,99%,Niger,48.0,f +40372,100%,Costa Rica,2.0,f +49600,30%,,1.0,t +28772,100%,Niger,15.0,t +36363,82%,Marshall Islands,5.0,f +670,100%,Uzbekistan,1.0,t +13765,100%,Gambia,2.0,f +28033,100%,,3.0,f +3274,86%,Barbados,24.0,f +28033,100%,,3.0,f +38832,97%,,15.0,f +28033,100%,,3.0,f +9912,,,1.0,t +5479,100%,,3.0,f +22111,100%,Sao Tome and Principe,2.0,f +1502,100%,Uzbekistan,1.0,f +5479,100%,,3.0,f +35872,100%,Faroe Islands,2.0,t +5479,100%,,3.0,f +4788,,Tonga,7.0,f +18284,,,2.0,f +24411,100%,Ukraine,1.0,f +29598,100%,Niue,1.0,f +25147,99%,Niger,48.0,f +43982,100%,Denmark,2.0,f +46856,,Greenland,2.0,f +16085,100%,,3.0,f +32838,,Croatia,1.0,f +16085,100%,,3.0,f +16085,100%,,3.0,f +14251,100%,Niue,1.0,t +19066,100%,,1.0,f +3274,86%,Barbados,24.0,f +17394,0%,Nicaragua,49.0,f +32834,100%,Faroe Islands,2.0,f +19855,100%,Kiribati,37.0,t +31172,87%,Netherlands Antilles,2.0,f +46261,100%,Andorra,3.0,t +41875,90%,France,2.0,f +1429,,Micronesia,2.0,f +205,100%,,2.0,f +29037,100%,Marshall Islands,1.0,f +37693,,Bouvet Island (Bouvetoya),2.0,t +10852,,Costa Rica,1.0,t +10769,80%,Denmark,1.0,f +22893,,Faroe Islands,1.0,t +5055,88%,Guernsey,1.0,f +39822,100%,Togo,3.0,f +20081,95%,Senegal,2.0,f +37826,,,1.0,f +49341,100%,Papua New Guinea,1.0,t +30722,100%,Tanzania,1.0,f +45328,97%,Kiribati,10.0,f +25185,100%,United Kingdom,2.0,f +13577,90%,Brazil,2.0,f +5635,90%,Denmark,1.0,f +31423,,Russian Federation,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +19662,100%,,1.0,f +35975,67%,Saint Helena,1.0,t +12675,100%,Brazil,2.0,t +42633,100%,Chad,3.0,t +5815,,Cocos (Keeling) Islands,1.0,f +45998,75%,Nicaragua,1.0,f +43973,,,1.0,f +19099,,Lebanon,1.0,f +23175,100%,Costa Rica,1.0,t +6943,,Gambia,1.0,f +4097,100%,Croatia,7.0,f +12812,99%,Croatia,32.0,f +12812,99%,Croatia,32.0,f +2954,100%,Denmark,5.0,t +46257,100%,,5.0,f +14096,100%,Malta,1.0,t +42348,100%,Gambia,2.0,f +24338,100%,El Salvador,2.0,f +33242,100%,Uzbekistan,3.0,t +22298,100%,Kiribati,3.0,f +36768,100%,Guinea,2.0,f +37888,89%,Niger,79.0,f +15428,100%,,1.0,t +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +49595,,,3.0,f +4053,,Ecuador,6.0,f +31930,,Anguilla,2.0,f +17215,97%,Maldives,9.0,f +20015,100%,Maldives,1.0,t +46691,90%,Uzbekistan,38.0,f +24686,100%,Isle of Man,1.0,f +28772,100%,Niger,15.0,t +38021,100%,Bahrain,2.0,f +37888,89%,Niger,79.0,f +34154,100%,,2.0,t +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +10158,100%,Ukraine,6.0,t +46088,,Ghana,15.0,f +22762,100%,Lebanon,1.0,f +23854,,Uzbekistan,15.0,f +25147,99%,Niger,48.0,f +22522,100%,France,3.0,t +4267,100%,Senegal,22.0,t +17906,80%,Sao Tome and Principe,1.0,f +42683,,Uzbekistan,5.0,f +36658,94%,China,20.0,t +23067,90%,El Salvador,2.0,f +26467,,,1.0,f +23963,100%,,1.0,f +37888,89%,Niger,79.0,f +48117,98%,Ukraine,41.0,f +39927,,France,1.0,f +49943,100%,,1.0,f +37888,89%,Niger,79.0,f +4152,100%,Rwanda,1.0,f +29647,100%,Peru,1305.0,f +4466,100%,Niue,3.0,t +39412,0%,Reunion,3.0,f +36299,100%,Rwanda,13.0,t +13847,100%,Turks and Caicos Islands,14.0,f +4379,100%,Kiribati,1.0,f +17383,100%,,1.0,f +29518,100%,Uganda,1.0,t +30573,100%,Brazil,1.0,f +7812,100%,Bosnia and Herzegovina,8.0,f +38873,100%,Mauritania,4.0,f +13847,100%,Turks and Caicos Islands,14.0,f +49756,100%,Micronesia,1.0,t +7812,100%,Bosnia and Herzegovina,8.0,f +4522,,El Salvador,1.0,f +13847,100%,Turks and Caicos Islands,14.0,f +13847,100%,Turks and Caicos Islands,14.0,f +39313,,Tonga,1.0,t +13847,100%,Turks and Caicos Islands,14.0,f +13847,100%,Turks and Caicos Islands,14.0,f +46691,90%,Uzbekistan,38.0,f +6971,90%,,3.0,f +6971,90%,,3.0,f +19766,40%,Monaco,3.0,f +25752,,Denmark,1.0,t +6971,90%,,3.0,f +11340,50%,,5.0,f +13847,100%,Turks and Caicos Islands,14.0,f +20317,,Nicaragua,1.0,f +35395,,Russian Federation,1.0,f +39286,100%,,1.0,f +13847,100%,Turks and Caicos Islands,14.0,f +43590,100%,Costa Rica,9.0,f +13847,100%,Turks and Caicos Islands,14.0,f +27059,100%,Niue,1.0,f +49459,100%,Guinea,1.0,f +3869,100%,Bouvet Island (Bouvetoya),2.0,f +13847,100%,Turks and Caicos Islands,14.0,f +19217,98%,Marshall Islands,46.0,f +2466,,Solomon Islands,1.0,f +1472,100%,Chile,2.0,f +17030,100%,Croatia,5.0,f +23854,,Uzbekistan,15.0,f +47514,100%,Philippines,1.0,f +40081,100%,,1.0,f +8622,100%,,1.0,f +3274,86%,Barbados,24.0,f +23854,,Uzbekistan,15.0,f +19589,100%,,3.0,f +48409,,Estonia,60.0,t +10711,93%,Uganda,108.0,t +42310,100%,Ecuador,6.0,t +10969,100%,Tanzania,1.0,f +10711,93%,Uganda,108.0,t +15443,,Svalbard & Jan Mayen Islands,1.0,t +28474,,Faroe Islands,1.0,t +893,100%,,1.0,f +44338,100%,Peru,2.0,t +34743,,French Guiana,1.0,f +49985,90%,Wallis and Futuna,1.0,t +20283,100%,Denmark,1.0,f +39224,,Guinea,2.0,f +30918,,Zimbabwe,1.0,f +6035,,Afghanistan,1.0,f +24919,100%,Estonia,4.0,f +37646,100%,Estonia,60.0,f +12243,100%,El Salvador,3.0,t +19410,100%,,1.0,f +4169,,Vanuatu,1.0,f +31751,100%,Nicaragua,29.0,f +41372,,Indonesia,2.0,t +42842,,Venezuela,1.0,f +37546,100%,Rwanda,3.0,f +13438,100%,,2.0,f +22068,100%,Rwanda,3.0,f +22068,100%,Rwanda,3.0,f +46101,100%,Zimbabwe,1.0,t +11799,,,1.0,f +21260,100%,Chile,2.0,f +25147,99%,Niger,48.0,f +21260,100%,Chile,2.0,f +12070,100%,Vanuatu,1.0,f +48321,100%,China,17.0,f +23373,0%,Sao Tome and Principe,1.0,f +37888,89%,Niger,79.0,f +8884,67%,China,3.0,f +6790,,Guinea,1.0,t +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +17401,100%,Russian Federation,4.0,f +15746,83%,China,3.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +12747,,Faroe Islands,1.0,f +18878,67%,Netherlands,1.0,f +35968,,,2.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +25344,90%,Faroe Islands,8.0,f +29647,100%,Peru,1305.0,f +21033,,Rwanda,2.0,t +49662,100%,Tonga,1.0,f +40405,0%,Tonga,1.0,f +23769,100%,Denmark,2.0,f +36146,,Kenya,1.0,f +24502,78%,Tonga,1.0,f +42634,100%,Tanzania,1.0,f +24142,100%,El Salvador,1.0,f +41005,100%,Ukraine,4.0,f +18935,100%,Denmark,1.0,t +32203,100%,Barbados,176.0,f +17332,100%,Faroe Islands,1.0,f +13960,100%,,4.0,f +14393,100%,Indonesia,1.0,t +35894,100%,,1.0,f +3791,100%,Uganda,4.0,f +39143,89%,,33.0,f +39143,89%,,33.0,f +6024,90%,,1.0,f +14327,100%,Gambia,2.0,t +3835,,,1.0,f +25147,99%,Niger,48.0,f +5756,100%,Philippines,2.0,f +14327,100%,Gambia,2.0,t +43642,90%,Denmark,6.0,f +18077,100%,Sao Tome and Principe,139.0,f +43985,,Philippines,1.0,t +10711,93%,Uganda,108.0,t +33702,100%,Guernsey,1.0,f +44278,90%,Turkmenistan,3.0,t +8959,,,1.0,f +44278,90%,Turkmenistan,3.0,t +28315,,Puerto Rico,1.0,f +302,100%,Tunisia,20.0,f +44529,100%,Denmark,1.0,f +5802,100%,France,3.0,t +9363,95%,Ukraine,50.0,f +30943,100%,United Kingdom,1.0,t +30244,100%,Uzbekistan,2.0,f +18320,50%,Reunion,19.0,t +40010,100%,Guinea,2.0,t +19298,89%,Croatia,2.0,f +1508,90%,Gambia,3.0,f +10020,90%,China,5.0,f +11386,100%,Faroe Islands,3.0,f +22640,,Rwanda,8.0,t +22155,100%,Estonia,4.0,f +46212,100%,China,4.0,f +49300,100%,Uzbekistan,1.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +18077,100%,Sao Tome and Principe,139.0,f +27443,100%,Guinea,3.0,f +27263,80%,China,5.0,f +48114,80%,China,3.0,t +5738,100%,,2.0,f +34772,,Congo,1.0,f +22130,100%,Svalbard & Jan Mayen Islands,1.0,f +3151,,Finland,2.0,t +3869,100%,Bouvet Island (Bouvetoya),2.0,f +1304,100%,Montserrat,2.0,f +27799,100%,,1.0,f +33955,,Sao Tome and Principe,1.0,f +47779,30%,Gibraltar,1.0,f +35156,100%,,2.0,f +40216,100%,Montserrat,2.0,f +25147,99%,Niger,48.0,f +29468,,,1.0,t +48843,100%,,1.0,f +33625,100%,Papua New Guinea,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +22298,100%,Kiribati,3.0,f +3790,100%,Netherlands,16.0,f +36524,100%,Saint Helena,8.0,t +24737,100%,Monaco,1.0,f +1479,,,1.0,f +22298,100%,Kiribati,3.0,f +48568,100%,Vanuatu,2.0,t +25147,99%,Niger,48.0,f +7834,94%,Mexico,13.0,f +25147,99%,Niger,48.0,f +686,97%,Micronesia,7.0,t +47274,100%,Tonga,48.0,f +25538,,Tanzania,1.0,f +21339,,,1.0,f +7109,100%,Malta,1.0,f +36911,100%,Portugal,2.0,f +12913,,Faroe Islands,1.0,f +20334,99%,Niger,171.0,t +30079,100%,Mauritania,1.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +12470,100%,,1.0,f +47790,,Russian Federation,1.0,f +19146,100%,,2.0,f +10711,93%,Uganda,108.0,t +37639,100%,Nauru,11.0,f +5656,,Niue,2.0,f +43916,,,1.0,t +28414,100%,Uzbekistan,22.0,f +11631,100%,,1.0,f +34667,100%,,2.0,f +30211,,Faroe Islands,1.0,f +35246,100%,,2.0,f +6499,100%,,1.0,f +11978,90%,Denmark,3.0,f +27768,65%,Kiribati,15.0,t +6956,100%,,1.0,f +37728,,Montserrat,1.0,f +34895,100%,Estonia,16.0,t +42161,100%,,1.0,f +33933,100%,Papua New Guinea,3.0,f +23134,90%,,1.0,f +31751,100%,Nicaragua,29.0,f +31751,100%,Nicaragua,29.0,f +18237,,,2.0,f +31751,100%,Nicaragua,29.0,f +31751,100%,Nicaragua,29.0,f +31751,100%,Nicaragua,29.0,f +11823,70%,,7.0,f +34567,100%,Lebanon,1.0,t +3706,100%,,3.0,t +3706,100%,,3.0,t +4362,90%,France,1.0,f +284,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +24919,100%,Estonia,4.0,f +12551,100%,Niger,3.0,f +20263,99%,Maldives,35.0,t +20263,99%,Maldives,35.0,t +26156,100%,,1.0,t +36539,,Micronesia,1.0,f +42705,100%,,1.0,t +34357,100%,Montserrat,3.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +49018,,Tanzania,1.0,t +21715,,,1.0,f +19214,100%,Senegal,55.0,f +19958,100%,Congo,40.0,t +24953,100%,,1.0,t +2739,,,1.0,f +48041,100%,Cocos (Keeling) Islands,1.0,t +19214,100%,Senegal,55.0,f +46994,,Malta,1.0,f +27843,100%,Costa Rica,1.0,t +19159,0%,Nicaragua,3.0,t +6051,100%,Pakistan,2.0,f +41306,,Guinea,1.0,f +27632,,Papua New Guinea,1.0,f +28082,100%,Turkmenistan,2.0,t +36611,71%,Maldives,14.0,f +5401,100%,Lebanon,2.0,f +2137,100%,Micronesia,1.0,f +23120,,Togo,1.0,f +39998,100%,Micronesia,4.0,t +36424,63%,Slovakia (Slovak Republic),12.0,f +956,100%,Nicaragua,3.0,t +46705,100%,,1.0,f +10642,100%,Guinea,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +1907,100%,Russian Federation,2.0,f +48228,100%,Greenland,2.0,f +43869,100%,Isle of Man,1.0,f +14473,100%,Anguilla,1.0,f +20401,,Niue,1.0,t +26558,100%,Micronesia,2.0,t +4692,100%,Isle of Man,3.0,t +38019,100%,Afghanistan,10.0,f +38019,100%,Afghanistan,10.0,f +28895,100%,,2.0,f +28895,100%,,2.0,f +28164,100%,,3.0,f +28164,100%,,3.0,f +10942,96%,Uganda,3.0,f +28164,100%,,3.0,f +2168,100%,Nicaragua,5.0,f +27399,100%,,4.0,f +35522,100%,Kiribati,10.0,f +38137,99%,Zimbabwe,16.0,f +44109,100%,United Kingdom,20.0,f +47889,100%,Turkmenistan,2.0,f +20165,94%,Ukraine,30.0,f +48658,100%,Kiribati,1.0,f +20083,100%,,1.0,t +12464,,Chile,5.0,t +35522,100%,Kiribati,10.0,f +17875,100%,,1.0,t +23854,,Uzbekistan,15.0,f +23915,,Cocos (Keeling) Islands,1.0,t +5380,100%,Reunion,1.0,f +25630,100%,Anguilla,1.0,t +35690,82%,,2.0,f +16857,100%,,1.0,f +27215,100%,Reunion,1.0,t +21039,100%,Vanuatu,1.0,f +35690,82%,,2.0,f +31446,100%,Faroe Islands,9.0,f +26422,,Malta,2.0,t +38270,100%,Maldives,6.0,f +14941,100%,Cocos (Keeling) Islands,1.0,f +9694,,Sao Tome and Principe,1.0,t +26051,,Niue,7.0,f +43752,,France,1.0,f +43942,100%,Reunion,1.0,t +33436,100%,,1.0,f +19214,100%,Senegal,55.0,f +39681,90%,Nicaragua,3.0,t +6997,100%,Malawi,1.0,t +19214,100%,Senegal,55.0,f +29738,,Isle of Man,1.0,t +15776,100%,Zimbabwe,1.0,t +14939,,French Guiana,1.0,f +21561,,,1.0,f +737,,Ukraine,4.0,f +15552,,,2.0,f +47982,100%,Denmark,7.0,f +892,100%,,2.0,t +46149,100%,,1.0,f +19868,100%,Chad,1.0,f +19023,100%,Anguilla,1.0,f +44621,100%,Jersey,1.0,f +45617,100%,Monaco,2.0,f +38623,50%,Croatia,2.0,f +45949,100%,Jersey,1.0,f +22973,100%,,2.0,f +8691,,French Guiana,1.0,t +44264,100%,Isle of Man,1.0,f +43527,,France,1.0,f +15784,,Tunisia,1.0,f +17587,80%,Peru,1.0,t +13990,100%,,2.0,f +23854,,Uzbekistan,15.0,f +23854,,Uzbekistan,15.0,f +44300,100%,Netherlands,1.0,t +39634,100%,Gambia,1.0,f +19214,100%,Senegal,55.0,f +23854,,Uzbekistan,15.0,f +48840,100%,Uzbekistan,9.0,f +7533,50%,Faroe Islands,1.0,f +24919,100%,Estonia,4.0,f +4525,98%,El Salvador,9.0,t +24826,100%,Faroe Islands,1.0,f +18864,100%,Russian Federation,1.0,f +15279,,Afghanistan,22.0,t +6068,100%,Marshall Islands,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +40793,100%,,75.0,t +18031,100%,Reunion,4.0,f +26386,100%,Fiji,25.0,t +25147,99%,Niger,48.0,f +5860,,Gambia,1.0,f +7894,100%,Ukraine,10.0,f +12978,100%,,1.0,f +18031,100%,Reunion,4.0,f +45798,100%,,4.0,f +542,90%,Monaco,1.0,t +25147,99%,Niger,48.0,f +20334,99%,Niger,171.0,t +12300,,France,1.0,t +581,100%,Russian Federation,2.0,t +26386,100%,Fiji,25.0,t +13202,87%,Uganda,3.0,f +47051,100%,Zimbabwe,1.0,t +1044,100%,Uganda,1.0,f +15659,100%,Tonga,1.0,t +26386,100%,Fiji,25.0,t +801,100%,Guernsey,1.0,f +33876,,Denmark,1.0,f +23492,100%,,1.0,t +18484,100%,Gambia,108.0,f +5156,100%,Sao Tome and Principe,1.0,f +11567,100%,Niger,31.0,t +40426,100%,Wallis and Futuna,1.0,f +39707,100%,Gambia,1.0,t +47594,100%,Kenya,17.0,t +5890,,China,1.0,f +44207,80%,Djibouti,8.0,t +25147,99%,Niger,48.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +20334,99%,Niger,171.0,t +25147,99%,Niger,48.0,f +37797,100%,,1.0,t +48101,,Sao Tome and Principe,1.0,f +24215,,China,1.0,f +39469,100%,Micronesia,11.0,t +39143,89%,,33.0,f +32641,,Tonga,1.0,f +3624,100%,Indonesia,1.0,f +36611,71%,Maldives,14.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +10869,100%,,1.0,f +19799,100%,Guinea,2.0,f +25857,,Reunion,1.0,f +9203,100%,United Kingdom,1.0,f +33586,100%,Barbados,1.0,f +30537,100%,Tonga,3.0,t +23662,100%,Vanuatu,3.0,f +29971,,,1.0,t +36816,100%,Svalbard & Jan Mayen Islands,1.0,f +27086,100%,Lebanon,1.0,f +49172,100%,Ecuador,2.0,f +49315,,,1.0,f +43624,,Russian Federation,1.0,f +24521,100%,United Kingdom,2.0,t +40650,,,8.0,t +26878,80%,Monaco,2.0,t +34672,,,1.0,f +4639,100%,Monaco,3.0,t +34893,100%,,1.0,f +6332,100%,Uzbekistan,21.0,t +42031,100%,,5.0,t +37241,100%,Russian Federation,1.0,f +33933,100%,Papua New Guinea,3.0,f +11376,100%,Togo,1.0,t +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +27399,100%,,4.0,f +27399,100%,,4.0,f +44559,100%,,1.0,t +27399,100%,,4.0,f +1080,70%,,2.0,f +2923,,Chad,1.0,f +19019,97%,Nicaragua,1484.0,f +24381,,,2.0,f +38279,93%,Mauritania,8.0,t +16249,100%,Barbados,2.0,f +37546,100%,Rwanda,3.0,f +505,100%,,3.0,f +505,100%,,3.0,f +505,100%,,3.0,f +34950,,Niue,1.0,f +41572,88%,,1.0,f +41706,100%,,1.0,f +43071,100%,Maldives,14.0,f +12660,,,2.0,f +12660,,,2.0,f +27564,100%,Bahrain,1.0,f +3673,100%,,3.0,f +3673,100%,,3.0,f +3673,100%,,3.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +25477,,Lebanon,2.0,t +25867,,Chile,1.0,f +42908,90%,,2.0,f +34162,,,2.0,f +4330,94%,Ukraine,60.0,t +49526,100%,Gambia,4.0,f +44115,,Isle of Man,1.0,f +32038,100%,Indonesia,35.0,f +4316,100%,Micronesia,18.0,f +16909,60%,Denmark,1.0,t +18164,100%,Marshall Islands,5.0,f +49526,100%,Gambia,4.0,f +12593,100%,Reunion,2.0,f +25147,99%,Niger,48.0,f +32516,100%,,1.0,f +20239,100%,,1.0,f +21908,100%,Niue,49.0,f +29521,,Gambia,4.0,t +27822,100%,Russian Federation,2.0,f +23229,,Faroe Islands,2.0,f +35063,100%,,2.0,t +12938,92%,Reunion,12.0,f +36086,100%,Sao Tome and Principe,4.0,t +29123,100%,Zimbabwe,16.0,t +38279,93%,Mauritania,8.0,t +38279,93%,Mauritania,8.0,t +38279,93%,Mauritania,8.0,t +22873,100%,,1.0,f +6482,100%,Tonga,3.0,f +17789,94%,Reunion,6.0,f +41365,75%,,1.0,f +19661,100%,Malawi,1.0,f +17789,94%,Reunion,6.0,f +48791,97%,Uzbekistan,5.0,t +8067,100%,Vanuatu,1.0,f +1697,100%,,1.0,f +48989,100%,Isle of Man,1.0,t +20539,100%,Chad,5.0,f +16688,,,1.0,f +25147,99%,Niger,48.0,f +32038,100%,Indonesia,35.0,f +24033,100%,Uganda,45.0,f +45550,,Puerto Rico,1.0,f +49565,92%,Uganda,14.0,f +25232,,,1.0,f +29887,100%,Kenya,1.0,f +13323,,,2.0,t +24980,67%,,5.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +17463,,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +49649,100%,Russian Federation,4.0,f +46797,100%,Zimbabwe,3.0,t +47889,100%,Turkmenistan,2.0,f +40202,100%,,2.0,f +1752,50%,Niue,1.0,f +13834,,Kiribati,9.0,f +19539,100%,,1.0,f +17507,100%,Guinea,6.0,f +6874,100%,Guinea,2.0,f +27424,100%,,2.0,f +29059,100%,,1.0,t +31454,,,1.0,f +48469,100%,Puerto Rico,4.0,f +46830,100%,,2.0,f +46830,100%,,2.0,f +17507,100%,Guinea,6.0,f +3524,100%,Ghana,5.0,f +34306,91%,Wallis and Futuna,30.0,t +17507,100%,Guinea,6.0,f +14063,100%,Denmark,10.0,t +29788,100%,,1.0,f +13900,,Sao Tome and Principe,1.0,f +46810,,Micronesia,1.0,t +10126,,Malta,1.0,f +36367,100%,Palestinian Territory,3.0,f +34723,100%,Peru,12.0,f +13403,96%,Maldives,21.0,t +37294,,Montserrat,2.0,f +15973,100%,,1.0,f +37384,,,1.0,t +24350,100%,,6.0,t +30794,100%,Barbados,5.0,t +13457,100%,Denmark,1.0,t +42635,100%,Nicaragua,1.0,f +32038,100%,Indonesia,35.0,f +33159,,,1.0,f +11371,100%,,1.0,f +45617,100%,Monaco,2.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +49313,,Somalia,1.0,t +25597,,,5.0,f +37074,50%,Switzerland,2.0,f +25597,,,5.0,f +25597,,,5.0,f +25597,,,5.0,f +25597,,,5.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +35598,100%,France,2.0,f +1465,100%,Barbados,1.0,f +6869,80%,,1.0,f +43720,95%,Gambia,2.0,f +32977,100%,,2.0,f +32446,33%,,2.0,f +29230,,,1.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +37888,89%,Niger,79.0,f +46774,100%,El Salvador,1.0,f +19631,100%,,1.0,f +29003,100%,Russian Federation,1.0,f +45501,100%,Kiribati,7.0,f +42502,100%,Philippines,2.0,f +27408,100%,Russian Federation,2.0,t +48409,,Estonia,60.0,t +48344,,Faroe Islands,1.0,t +26419,100%,Barbados,6.0,f +37831,91%,Micronesia,2.0,f +32398,100%,Turkmenistan,1.0,f +38282,,Tonga,5.0,f +12812,99%,Croatia,32.0,f +48409,,Estonia,60.0,t +47531,100%,,2.0,f +25147,99%,Niger,48.0,f +47595,100%,Nauru,4.0,f +48409,,Estonia,60.0,t +6295,,Niue,2.0,f +48133,,Isle of Man,45.0,f +29019,100%,,1.0,f +28586,100%,,1.0,f +8091,97%,Cuba,10.0,f +32319,70%,,1.0,t +30780,60%,French Guiana,1.0,f +20688,100%,Indonesia,1.0,t +8091,97%,Cuba,10.0,f +8091,97%,Cuba,10.0,f +5655,80%,Zimbabwe,3.0,t +16644,67%,,2.0,t +18451,100%,Svalbard & Jan Mayen Islands,1.0,f +11105,100%,,1.0,f +978,95%,Lithuania,29.0,f +3045,100%,Rwanda,2.0,f +7943,100%,,1.0,t +40027,,Cape Verde,1.0,f +17445,100%,Lebanon,1.0,f +5492,100%,Gambia,1.0,t +28221,100%,Jersey,1.0,f +20334,99%,Niger,171.0,t +10711,93%,Uganda,108.0,t +40793,100%,,75.0,t +34881,100%,China,6.0,f +25147,99%,Niger,48.0,f +35659,,,1.0,f +19855,100%,Kiribati,37.0,t +49689,100%,Niger,6.0,f +34306,91%,Wallis and Futuna,30.0,t +10520,,,1.0,f +6882,100%,,1.0,t +11634,,Rwanda,2.0,f +38564,,Australia,4.0,f +27654,,,1.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +46833,90%,Faroe Islands,1.0,f +14064,100%,Australia,1.0,f +6339,,Marshall Islands,1.0,f +39358,100%,Kiribati,2.0,f +21791,,Gambia,1.0,f +39041,90%,,1.0,f +48467,100%,Guinea,1.0,f +226,100%,Maldives,2.0,f +38685,100%,Niue,2.0,f +21539,,Sao Tome and Principe,1.0,t +45905,100%,Sao Tome and Principe,3.0,t +38685,100%,Niue,2.0,f +30923,,,1.0,f +302,100%,Tunisia,20.0,f +19019,97%,Nicaragua,1484.0,f +39965,100%,Tonga,3.0,t +35036,100%,Anguilla,1.0,f +44169,97%,Portugal,39.0,f +19214,100%,Senegal,55.0,f +26230,,France,3.0,f +13960,100%,,4.0,f +4330,94%,Ukraine,60.0,t +27056,100%,Kenya,4.0,f +29028,100%,Chad,2.0,t +404,90%,Uzbekistan,1.0,f +13411,,Lebanon,2.0,t +5989,100%,,1.0,f +27,,Faroe Islands,1.0,f +24798,,United Kingdom,1.0,f +2168,100%,Nicaragua,5.0,f +40303,100%,Guinea,82.0,f +32214,0%,Indonesia,1.0,f +32289,100%,Isle of Man,1.0,f +42706,,Russian Federation,1.0,f +48133,,Isle of Man,45.0,f +2658,100%,Pakistan,1.0,f +42609,100%,Niue,1.0,t +2743,97%,China,23.0,f +12546,100%,Lebanon,1.0,f +38701,40%,Niger,27.0,f +2151,100%,Zimbabwe,1.0,t +22244,100%,Finland,6.0,t +18484,100%,Gambia,108.0,f +18876,60%,Netherlands,26.0,f +3790,100%,Netherlands,16.0,f +28786,100%,,2.0,t +48133,,Isle of Man,45.0,f +20334,99%,Niger,171.0,t +25687,100%,Anguilla,17.0,f +48133,,Isle of Man,45.0,f +20297,80%,Montserrat,17.0,f +48409,,Estonia,60.0,t +29647,100%,Peru,1305.0,f +39063,100%,Reunion,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +3879,100%,Anguilla,6.0,f +40867,,Malta,1.0,f +32981,100%,,1.0,f +22950,,United Kingdom,2.0,t +40793,100%,,75.0,t +11548,,Micronesia,1.0,f +35189,,Lebanon,1.0,f +25687,100%,Anguilla,17.0,f +27560,100%,Malta,1.0,t +39934,100%,,1.0,f +14308,100%,Anguilla,1.0,f +29681,83%,Sao Tome and Principe,1.0,f +37917,100%,Nauru,1.0,f +33704,,Monaco,1.0,f +38701,40%,Niger,27.0,f +6147,0%,,1.0,f +32311,100%,Maldives,5.0,f +32311,100%,Maldives,5.0,f +32311,100%,Maldives,5.0,f +32311,100%,Maldives,5.0,f +9363,95%,Ukraine,50.0,f +32311,100%,Maldives,5.0,f +28976,,Saint Helena,3.0,f +35580,,France,1.0,f +19905,97%,Monaco,8.0,f +25298,100%,Jersey,1.0,f +12163,,Faroe Islands,1.0,f +29469,78%,,3.0,f +29469,78%,,3.0,f +29469,78%,,3.0,f +18660,100%,,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +4153,50%,,2.0,f +40127,,Faroe Islands,2.0,t +33250,,,1.0,f +3502,100%,Niue,1.0,f +43496,100%,Montserrat,18.0,t +18077,100%,Sao Tome and Principe,139.0,f +29552,100%,Jersey,1.0,f +46644,100%,Finland,1.0,f +19359,,,2.0,t +14619,100%,,1.0,f +7834,94%,Mexico,13.0,f +12143,,Faroe Islands,1.0,f +26587,100%,,2.0,f +26587,100%,,2.0,f +10883,100%,Niger,8.0,t +12932,100%,,2.0,t +13553,93%,Vietnam,5.0,f +24803,,,1.0,t +13540,100%,Uganda,2.0,f +38564,,Australia,4.0,f +34634,,,1.0,f +5240,,,2.0,f +17508,,,1.0,f +38564,,Australia,4.0,f +38318,100%,San Marino,1.0,f +38564,,Australia,4.0,f +45267,,Lebanon,2.0,f +28296,89%,Maldives,3.0,t +42764,100%,Guernsey,13.0,t +22754,100%,Isle of Man,3.0,t +5179,,,12.0,f +7296,100%,Zimbabwe,2.0,t +13586,100%,,1.0,f +6711,100%,Spain,3.0,f +19880,100%,Greenland,1.0,f +24633,,Chad,3.0,t +6984,100%,Suriname,9.0,f +10718,100%,Guinea,6.0,f +10576,100%,Micronesia,2.0,f +37706,,United Kingdom,1.0,f +44498,100%,,1.0,f +1577,100%,Peru,8.0,t +10134,100%,Uzbekistan,7.0,t +20334,99%,Niger,171.0,t +17928,,Malta,1.0,t +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +27443,100%,Guinea,3.0,f +36882,90%,,25.0,f +28006,100%,Anguilla,1.0,t +42197,100%,,1.0,t +16930,,Nauru,14.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +29207,100%,Guinea,1.0,f +5646,90%,Tonga,1.0,t +28114,97%,Bouvet Island (Bouvetoya),16.0,f +46261,100%,Andorra,3.0,t +26034,100%,,1.0,f +37534,100%,Croatia,1.0,f +34042,100%,Marshall Islands,37.0,f +20488,100%,Lithuania,1.0,f +43685,,Kenya,1.0,f +34042,100%,Marshall Islands,37.0,f +46766,100%,Guinea,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +35868,96%,Barbados,4.0,f +35640,100%,Uganda,3.0,f +35599,50%,Jersey,1.0,f +222,89%,,16.0,f +40910,100%,France,2.0,f +37022,,,1.0,f +29521,,Gambia,4.0,t +33410,100%,,1.0,f +44625,100%,Russian Federation,2.0,f +32681,100%,,1.0,t +32623,100%,,1.0,f +41211,,Anguilla,1.0,f +12253,100%,,2.0,f +48133,,Isle of Man,45.0,f +7551,,,1.0,f +36204,,Kenya,2.0,f +20669,,Micronesia,1.0,f +5984,100%,Marshall Islands,1.0,f +34306,91%,Wallis and Futuna,30.0,t +12603,100%,Brazil,2.0,f +36204,,Kenya,2.0,f +29464,,Bouvet Island (Bouvetoya),1.0,f +32203,100%,Barbados,176.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +13137,100%,,1.0,f +35506,,,1.0,f +49974,100%,Reunion,1.0,f +49334,,,1.0,f +29647,100%,Peru,1305.0,f +43162,72%,China,7.0,f +18488,100%,Faroe Islands,1.0,t +22241,75%,,2.0,f +22241,75%,,2.0,f +2071,0%,Anguilla,2.0,f +442,97%,Poland,66.0,t +40361,100%,Sao Tome and Principe,4.0,t +37652,100%,Kiribati,3.0,t +21908,100%,Niue,49.0,f +21908,100%,Niue,49.0,f +45678,100%,Bouvet Island (Bouvetoya),3.0,f +41124,100%,Zimbabwe,3.0,t +40793,100%,,75.0,t +28828,100%,Isle of Man,198.0,t +14286,,Vanuatu,1.0,f +38207,100%,Turks and Caicos Islands,2.0,t +46586,100%,Bosnia and Herzegovina,12.0,f +40793,100%,,75.0,t +19214,100%,Senegal,55.0,f +24634,100%,Guinea,20.0,t +37652,100%,Kiribati,3.0,t +10721,100%,Gambia,1.0,t +25622,,Nicaragua,1.0,f +41131,100%,,6.0,f +41131,100%,,6.0,f +41131,100%,,6.0,f +41131,100%,,6.0,f +41131,100%,,6.0,f +24994,,Indonesia,1.0,t +41131,100%,,6.0,f +14718,,,1.0,f +13838,100%,Montserrat,10.0,f +13917,100%,Togo,1.0,f +10110,100%,Costa Rica,1.0,t +12949,100%,Russian Federation,2.0,f +10819,100%,Mexico,6.0,f +4652,100%,,1.0,f +23020,94%,Russian Federation,4.0,t +442,97%,Poland,66.0,t +442,97%,Poland,66.0,t +442,97%,Poland,66.0,t +22618,,,1.0,f +45798,100%,,4.0,f +45678,100%,Bouvet Island (Bouvetoya),3.0,f +37362,100%,Niue,1.0,f +33074,100%,Marshall Islands,1.0,f +44539,100%,Russian Federation,1.0,f +34687,100%,,2.0,f +11702,,French Guiana,1.0,t +30120,100%,Chad,2.0,t +10074,,,1.0,f +21579,100%,Jersey,2.0,t +23257,,Chad,3.0,f +3267,,Lebanon,1.0,f +46124,100%,Niue,1.0,f +10241,0%,Reunion,1.0,f +25171,,,1.0,f +26051,,Niue,7.0,f +7302,100%,Denmark,2.0,t +12235,,Faroe Islands,1.0,f +10466,100%,Papua New Guinea,2.0,f +48749,,Togo,1.0,t +5140,100%,Lebanon,3.0,t +26051,,Niue,7.0,f +37652,100%,Kiribati,3.0,t +21980,100%,Sao Tome and Principe,5.0,t +8225,95%,Barbados,31.0,f +43273,,Uzbekistan,1.0,f +5313,90%,Cook Islands,4.0,f +3176,100%,Uzbekistan,1.0,t +44427,100%,,3.0,f +44205,100%,Sao Tome and Principe,2.0,f +41395,100%,,3.0,f +43108,100%,Vietnam,2.0,f +46678,,Uzbekistan,1.0,f +45624,,,1.0,f +48628,,,1.0,f +46731,86%,,1.0,f +4446,100%,Uganda,58.0,f +14862,,Gibraltar,1.0,t +40023,100%,Uganda,6.0,t +21815,,Kenya,1.0,t +38668,100%,Lithuania,1.0,t +31185,100%,,1.0,f +40493,0%,Niue,1.0,f +37074,50%,Switzerland,2.0,f +34442,,Portugal,1.0,f +39892,100%,Tonga,31.0,t +35212,100%,Gibraltar,1.0,f +47610,100%,Uzbekistan,10.0,f +44169,97%,Portugal,39.0,f +10883,100%,Niger,8.0,t +33878,100%,Barbados,3.0,f +33336,75%,Nicaragua,1.0,f +46006,,Mauritania,2.0,f +6088,100%,,14.0,t +915,,,1.0,f +906,100%,Turks and Caicos Islands,2.0,f +906,100%,Turks and Caicos Islands,2.0,f +31570,,,1.0,f +47435,,,2.0,f +12869,100%,Nauru,1.0,f +40836,100%,Togo,6.0,t +21548,43%,Brazil,1.0,f +10488,100%,Niger,17.0,t +3888,100%,Isle of Man,1.0,f +39919,90%,Guinea,3.0,t +30577,,Turks and Caicos Islands,1.0,t +48382,100%,Niue,3.0,t +34895,100%,Estonia,16.0,t +38040,,,1.0,f +38473,,Micronesia,1.0,f +35828,,Denmark,2.0,t +25088,67%,Russian Federation,1.0,t +30110,,Russian Federation,3.0,f +44920,100%,,1.0,f +9169,90%,Guernsey,1.0,f +19208,100%,Chad,1.0,t +27341,,Uzbekistan,1.0,f +38270,100%,Maldives,6.0,f +32676,100%,China,34.0,f +37618,100%,,1.0,t +16654,,,1.0,t +5009,,Jersey,1.0,t +41257,100%,Monaco,1.0,f +23681,100%,Saint Helena,4.0,t +22721,100%,Ecuador,109.0,f +4101,,Croatia,1.0,f +10336,,,1.0,t +19047,,Cocos (Keeling) Islands,1.0,f +43071,100%,Maldives,14.0,f +25461,90%,Sao Tome and Principe,2.0,f +31866,100%,Denmark,2.0,f +31248,,,1.0,t +49279,100%,,2.0,f +4743,,Lebanon,1.0,t +5891,100%,Faroe Islands,1.0,t +23874,100%,Denmark,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +35228,100%,,1.0,f +6633,100%,Niger,5.0,f +27028,100%,France,1.0,t +29305,,Micronesia,1.0,f +36145,100%,,1.0,f +31343,100%,Sao Tome and Principe,3.0,f +6633,100%,Niger,5.0,f +19538,100%,,1.0,t +31807,,Lebanon,1.0,t +49683,100%,Denmark,1.0,f +34727,100%,Congo,1.0,f +48638,100%,,1.0,f +39552,83%,Bahrain,4.0,t +37835,100%,,1.0,t +1422,100%,,1.0,f +25624,,,1.0,f +13227,100%,,1.0,t +11512,90%,Sao Tome and Principe,1.0,f +38434,25%,,1.0,f +25202,100%,Cuba,3.0,f +29041,100%,,2.0,f +15943,100%,Puerto Rico,2.0,f +302,100%,Tunisia,20.0,f +30794,100%,Barbados,5.0,t +1797,100%,Bahrain,1.0,f +30853,100%,Sao Tome and Principe,2.0,f +17714,,Estonia,7.0,f +48862,100%,Nauru,4.0,f +44890,95%,Wallis and Futuna,9.0,t +44890,95%,Wallis and Futuna,9.0,t +48862,100%,Nauru,4.0,f +48862,100%,Nauru,4.0,f +43547,,,1.0,f +28828,100%,Isle of Man,198.0,t +18664,100%,Brazil,1.0,f +4258,100%,Sao Tome and Principe,1.0,f +21908,100%,Niue,49.0,f +47579,100%,Uzbekistan,4.0,f +26353,,,2.0,f +28828,100%,Isle of Man,198.0,t +26353,,,2.0,f +41702,100%,Anguilla,2.0,f +47791,100%,Greenland,1.0,f +29543,0%,,2.0,f +183,100%,Micronesia,1.0,f +48152,,Faroe Islands,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +44890,95%,Wallis and Futuna,9.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +19949,,Gambia,2.0,t +32203,100%,Barbados,176.0,f +24735,100%,Lebanon,1.0,f +33325,,Greenland,4.0,f +3506,100%,Niue,1.0,f +18808,92%,,5.0,f +27226,100%,Congo,10.0,f +18299,,Niue,1.0,f +34154,100%,,2.0,t +18808,92%,,5.0,f +18808,92%,,5.0,f +18808,92%,,5.0,f +18808,92%,,5.0,f +32661,,,3.0,t +17939,,,2.0,t +9059,,Maldives,1.0,f +10361,100%,,4.0,f +21311,,,3.0,f +48787,100%,,1.0,f +6022,100%,,4.0,t +49424,,Faroe Islands,1.0,t +38262,100%,,1.0,f +37121,100%,Greenland,1.0,f +31092,,Senegal,19.0,f +36363,82%,Marshall Islands,5.0,f +2706,100%,,1.0,f +44890,95%,Wallis and Futuna,9.0,t +21816,,Russian Federation,1.0,f +23967,100%,France,2.0,f +49483,100%,,1.0,f +3389,100%,Estonia,13.0,f +8066,100%,,1.0,t +36967,100%,Barbados,7.0,t +30053,,,9.0,f +48133,,Isle of Man,45.0,f +30053,,,9.0,f +30053,,,9.0,f +30053,,,9.0,f +2930,100%,Niue,2.0,f +37650,,,7.0,t +30053,,,9.0,f +30053,,,9.0,f +30053,,,9.0,f +30053,,,9.0,f +26193,88%,,3.0,f +30053,,,9.0,f +10711,93%,Uganda,108.0,t +22354,100%,,3.0,f +16248,,Kiribati,1.0,f +13641,85%,Mauritania,23.0,f +20334,99%,Niger,171.0,t +20008,,Russian Federation,1.0,f +10786,100%,Zimbabwe,2.0,f +18031,100%,Reunion,4.0,f +39431,,,2.0,f +17394,0%,Nicaragua,49.0,f +40187,100%,,1.0,f +12007,93%,Lithuania,1.0,f +48815,100%,Montserrat,1.0,f +35808,100%,Mexico,3.0,t +7094,100%,,1.0,f +37929,100%,,1.0,f +1605,100%,Pakistan,1.0,f +38919,100%,,1.0,f +10523,80%,,2.0,f +25783,100%,Saint Helena,1.0,f +50080,100%,Lithuania,3.0,f +10686,86%,Tonga,21.0,f +50072,100%,Marshall Islands,3.0,t +39731,,,1.0,f +10523,80%,,2.0,f +8584,100%,Costa Rica,7.0,t +8584,100%,Costa Rica,7.0,t +29354,100%,Russian Federation,2.0,t +26849,,Bosnia and Herzegovina,1.0,t +46372,100%,Northern Mariana Islands,7.0,t +32168,100%,Uganda,2.0,f +12415,,,1.0,t +1994,100%,Faroe Islands,1.0,f +34081,,,1.0,f +2993,100%,,1.0,f +29777,100%,Uzbekistan,2.0,f +11594,100%,Nicaragua,4.0,t +47579,100%,Uzbekistan,4.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +18485,100%,Rwanda,2.0,t +29087,100%,,1.0,f +21908,100%,Niue,49.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +20989,100%,Marshall Islands,8.0,f +24537,,Marshall Islands,1.0,f +23055,91%,,2.0,f +42390,100%,Wallis and Futuna,96.0,t +42243,100%,Senegal,4.0,f +16256,0%,,1.0,f +15761,100%,Nicaragua,1.0,f +32203,100%,Barbados,176.0,f +35450,100%,Gibraltar,2.0,f +6464,,,1.0,f +3795,,,1.0,f +27061,100%,,1.0,f +34029,100%,France,1.0,f +19128,100%,Uzbekistan,12.0,t +43183,98%,Tonga,12.0,t +27294,100%,,1.0,f +8942,,,3.0,f +8942,,,3.0,f +8942,,,3.0,f +33979,83%,Reunion,4.0,f +18031,100%,Reunion,4.0,f +47785,,Kenya,1.0,t +488,100%,Maldives,18.0,f +25147,99%,Niger,48.0,f +19336,,,2.0,f +44419,100%,,1.0,f +14874,100%,Isle of Man,1.0,f +20385,,,1.0,f +32203,100%,Barbados,176.0,f +35849,100%,,1.0,f +1564,100%,Indonesia,12.0,f +23455,50%,,1.0,f +14377,100%,Vanuatu,1.0,f +37792,,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +24033,100%,Uganda,45.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20497,100%,Niue,2.0,f +16497,,,1.0,f +304,100%,,1.0,f +29647,100%,Peru,1305.0,f +44953,100%,Tunisia,2.0,f +29878,100%,Niue,1.0,f +3358,90%,Jersey,1.0,f +50080,100%,Lithuania,3.0,f +21553,,,1.0,t +42868,100%,France,2.0,t +36241,100%,,1.0,f +38959,100%,,1.0,f +19214,100%,Senegal,55.0,f +2571,60%,,1.0,f +356,99%,Wallis and Futuna,32.0,t +21207,,,1.0,f +9889,,Uzbekistan,1.0,f +28935,100%,Malta,2.0,f +39860,100%,,2.0,f +48584,,Zimbabwe,2.0,t +5538,,Lebanon,1.0,t +32394,33%,,1.0,f +30230,100%,,1.0,t +15552,,,2.0,f +27866,100%,Guinea,8.0,f +32527,100%,Tonga,7.0,f +38235,80%,Kiribati,3.0,t +38366,100%,,1.0,f +26872,100%,Croatia,1.0,t +27056,100%,Kenya,4.0,f +9067,44%,,1.0,f +43784,,Zimbabwe,1.0,t +37495,,,1.0,t +8238,91%,Barbados,15.0,t +6894,80%,Estonia,47.0,t +14514,,China,80.0,t +39453,100%,Brazil,1.0,f +37443,75%,,1.0,f +35965,100%,,1.0,t +26698,100%,Uganda,5.0,t +49904,100%,Senegal,1.0,f +19486,100%,,2.0,t +23020,94%,Russian Federation,4.0,t +29456,,,1.0,t +6449,100%,Faroe Islands,1.0,f +740,100%,Lebanon,2.0,f +9363,95%,Ukraine,50.0,f +8301,,Guernsey,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +611,86%,Montserrat,7.0,f +28536,40%,France,1.0,f +20114,100%,Croatia,1.0,t +11672,100%,Kiribati,6.0,t +39950,,Tonga,2.0,f +28766,100%,Estonia,16.0,f +39621,100%,Mauritania,1.0,f +14514,,China,80.0,t +25815,,Tonga,1.0,f +14742,100%,Faroe Islands,1.0,f +38804,100%,,1.0,f +8367,100%,Nicaragua,1.0,f +47898,100%,Greenland,2.0,f +5262,100%,Croatia,1.0,t +16978,100%,Saint Helena,1.0,f +37538,,Nicaragua,1.0,f +25147,99%,Niger,48.0,f +48133,,Isle of Man,45.0,f +12099,100%,Rwanda,1.0,f +4319,100%,Uganda,6.0,f +26903,,Kiribati,1.0,f +6121,,,1.0,t +18484,100%,Gambia,108.0,f +1186,100%,Isle of Man,2.0,f +41301,100%,Costa Rica,9.0,t +37701,90%,Marshall Islands,1.0,t +7565,,Kiribati,1.0,f +34042,100%,Marshall Islands,37.0,f +48133,,Isle of Man,45.0,f +27928,100%,,4.0,f +4136,60%,,1.0,t +4130,,Maldives,7.0,f +11678,100%,Uruguay,1.0,t +38045,97%,Uzbekistan,7.0,f +23095,0%,Canada,1.0,f +8355,87%,Togo,16.0,f +34928,100%,Ecuador,4.0,f +2750,,Monaco,1.0,f +37843,100%,Gambia,1.0,f +4328,100%,,1.0,f +44243,,Kenya,1.0,f +31402,100%,Guinea,4.0,f +10480,100%,Comoros,22.0,f +48415,100%,Gambia,1.0,f +40354,100%,Niue,2.0,t +35274,,Vietnam,1.0,f +569,,,1.0,f +16482,33%,,1.0,t +10819,100%,Mexico,6.0,f +28777,,,1.0,t +25513,100%,Papua New Guinea,2.0,f +2328,88%,Kenya,2.0,t +45162,,Maldives,20.0,f +6307,100%,,2.0,f +26689,80%,Svalbard & Jan Mayen Islands,1.0,f +40222,,,1.0,f +48994,100%,Rwanda,1.0,f +1711,100%,Jersey,1.0,f +14498,,China,1.0,f +46457,83%,Russian Federation,2.0,t +41991,100%,Mexico,1.0,t +12593,100%,Reunion,2.0,f +13562,90%,Guernsey,1.0,f +48133,,Isle of Man,45.0,f +6847,100%,Vietnam,4.0,f +29647,100%,Peru,1305.0,f +40383,,Canada,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +40870,100%,,1.0,f +41869,,Niue,4.0,t +11017,100%,Malawi,2.0,t +3314,100%,Slovakia (Slovak Republic),10.0,f +45133,77%,Chile,1.0,f +17409,,Niue,1.0,f +4007,,Djibouti,1.0,f +410,100%,Bouvet Island (Bouvetoya),1.0,f +36181,,Marshall Islands,1.0,f +28953,56%,,2.0,f +21668,,,1.0,f +20334,99%,Niger,171.0,t +25147,99%,Niger,48.0,f +14510,,Mauritania,2.0,f +19691,,Malta,1.0,f +16372,100%,Saint Helena,3.0,f +17210,100%,Maldives,2.0,f +32203,100%,Barbados,176.0,f +6295,,Niue,2.0,f +17795,100%,Uzbekistan,11.0,t +9142,100%,Cocos (Keeling) Islands,1.0,f +369,100%,,2.0,f +1075,100%,,2.0,t +4330,94%,Ukraine,60.0,t +40508,,,1.0,f +1165,100%,Tonga,2.0,f +8259,100%,,1.0,f +24905,,Estonia,1.0,f +9144,,,1.0,f +40364,100%,Tonga,25.0,f +17279,30%,Guinea,1.0,f +23814,,Russian Federation,26.0,f +15919,100%,Guinea,1.0,f +23814,,Russian Federation,26.0,f +40793,100%,,75.0,t +23814,,Russian Federation,26.0,f +15693,100%,Vietnam,6.0,f +23814,,Russian Federation,26.0,f +19014,,Uzbekistan,1.0,t +41908,70%,Switzerland,3.0,f +23814,,Russian Federation,26.0,f +930,100%,Uganda,2.0,t +32203,100%,Barbados,176.0,f +17960,,United Kingdom,2.0,f +27909,,Cocos (Keeling) Islands,1.0,f +4330,94%,Ukraine,60.0,t +34,,Rwanda,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +41908,70%,Switzerland,3.0,f +48985,97%,Guinea,8.0,f +20297,80%,Montserrat,17.0,f +25513,100%,Papua New Guinea,2.0,f +9382,50%,France,1.0,f +41908,70%,Switzerland,3.0,f +17193,,Russian Federation,1.0,f +41511,100%,,1.0,f +9296,,Nauru,1.0,f +36156,83%,,2.0,f +10598,100%,,1.0,f +33909,,Tonga,2.0,f +40368,100%,,2.0,f +13873,50%,,2.0,t +41323,,Gibraltar,1.0,f +27527,100%,,1.0,f +45268,,Niue,1.0,t +37413,33%,Isle of Man,1.0,f +22523,100%,Rwanda,9.0,f +5764,100%,,2.0,t +10883,100%,Niger,8.0,t +3886,100%,Russian Federation,3.0,f +29226,100%,Russian Federation,1.0,f +2616,100%,,2.0,t +1537,100%,,3.0,f +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +11204,,,1.0,f +20153,96%,Reunion,51.0,f +19621,70%,Ecuador,2.0,f +48154,,Lebanon,2.0,f +18909,100%,,2.0,t +39493,,Montserrat,5.0,f +46216,100%,French Guiana,4.0,f +1140,,Costa Rica,1.0,f +39493,,Montserrat,5.0,f +24653,80%,Rwanda,2.0,t +39493,,Montserrat,5.0,f +41576,,,1.0,f +32203,100%,Barbados,176.0,f +41399,100%,,1.0,f +19740,,Isle of Man,3.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +47356,,Denmark,1.0,f +7585,,,1.0,t +15094,,,1.0,t +42051,100%,Nicaragua,11.0,t +35840,,France,2.0,t +16496,97%,Maldives,4.0,f +7894,100%,Ukraine,10.0,f +39539,,Sao Tome and Principe,1.0,t +18484,100%,Gambia,108.0,f +33320,100%,Denmark,1.0,f +16609,100%,Switzerland,2.0,f +11915,100%,,2.0,f +11771,,Tonga,1.0,t +45522,100%,Fiji,1.0,t +18484,100%,Gambia,108.0,f +40568,100%,,1.0,f +14222,100%,,1.0,t +18876,60%,Netherlands,26.0,f +17832,100%,Reunion,1.0,f +50014,,Canada,1.0,f +8010,100%,Tonga,2.0,f +41878,91%,Maldives,47.0,f +18491,100%,Sao Tome and Principe,2.0,f +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +13170,,Denmark,1.0,f +43321,100%,France,40.0,f +43321,100%,France,40.0,f +7172,50%,Papua New Guinea,1.0,t +18484,100%,Gambia,108.0,f +32203,100%,Barbados,176.0,f +5394,,Micronesia,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +36333,100%,Turks and Caicos Islands,2.0,f +35314,96%,,3.0,f +24033,100%,Uganda,45.0,f +31758,100%,Brazil,1.0,f +2182,,,1.0,f +27298,100%,,2.0,t +26051,,Niue,7.0,f +48133,,Isle of Man,45.0,f +30178,,Niue,1.0,f +6233,80%,Pakistan,3.0,f +42429,,Micronesia,1.0,f +46993,100%,Togo,2.0,f +40099,,,1.0,t +33378,,,1.0,f +21188,100%,,3.0,f +33036,100%,Denmark,1.0,f +13539,100%,Papua New Guinea,1.0,f +47403,100%,Zimbabwe,2.0,f +8030,,Russian Federation,1.0,f +22264,78%,,1.0,f +28545,0%,,1.0,f +42982,100%,Nicaragua,1.0,f +39131,100%,Lithuania,4.0,t +43958,90%,Guinea,1.0,t +27649,100%,Kiribati,4.0,t +13396,100%,Uruguay,1.0,f +41281,60%,Marshall Islands,1.0,f +5231,100%,Nicaragua,1.0,f +38420,90%,Christmas Island,8.0,f +43540,72%,Bosnia and Herzegovina,25.0,f +3398,67%,,1.0,f +18589,,Ghana,1.0,f +43042,100%,Niue,3.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +16122,100%,Brazil,1.0,f +10776,75%,,1.0,f +47160,100%,Monaco,2.0,f +23957,,Indonesia,1.0,f +7009,100%,Isle of Man,9.0,f +15626,100%,Isle of Man,1.0,t +6022,100%,,4.0,t +16843,100%,United Kingdom,2.0,f +32998,100%,,1.0,f +45241,100%,Kiribati,2.0,f +27033,94%,,1.0,t +23078,100%,Ukraine,8.0,f +41886,100%,United Kingdom,1.0,t +30029,90%,El Salvador,8.0,f +9363,95%,Ukraine,50.0,f +35775,,China,1.0,f +11038,,Lebanon,2.0,t +18512,100%,Turks and Caicos Islands,1.0,f +18763,,Bosnia and Herzegovina,1.0,f +4594,90%,Chad,4.0,t +11089,100%,Anguilla,1.0,f +48588,94%,,2.0,f +2736,,,1.0,f +23020,94%,Russian Federation,4.0,t +23358,100%,Marshall Islands,1.0,f +13088,100%,Marshall Islands,1.0,f +5948,,,1.0,t +23855,94%,France,2.0,t +14032,,,9.0,f +14032,,,9.0,f +21579,100%,Jersey,2.0,t +48860,,,1.0,f +26949,100%,,1.0,f +36921,100%,Jersey,1.0,f +11336,100%,Brazil,2.0,f +1577,100%,Peru,8.0,t +33140,100%,Fiji,1.0,f +33257,100%,Puerto Rico,1.0,t +44708,100%,Gibraltar,1.0,f +9703,,,1.0,f +20176,0%,Bouvet Island (Bouvetoya),1.0,f +35453,95%,Ecuador,2.0,f +44051,100%,,2.0,f +1670,100%,,1.0,f +30001,100%,Isle of Man,1.0,f +28553,100%,Greenland,3.0,f +40964,,,1.0,t +36212,100%,Faroe Islands,2.0,f +9201,78%,Cuba,1.0,f +26825,100%,Denmark,1.0,f +19932,,,1.0,f +24603,100%,Senegal,1.0,f +32128,,China,2.0,f +14652,,Niue,1.0,f +33947,100%,Guinea,1.0,f +8915,100%,,1.0,f +20141,,Denmark,1.0,f +43357,,Indonesia,1.0,f +18487,,Isle of Man,1.0,f +12319,,,1.0,t +1616,100%,Zimbabwe,1.0,t +3439,100%,,1.0,f +44173,100%,Greenland,2.0,t +22331,99%,Rwanda,50.0,t +27907,100%,Puerto Rico,21.0,f +3895,,,1.0,f +3065,100%,Tunisia,1.0,t +7644,,,1.0,f +11152,100%,Lebanon,1.0,f +22930,,Nicaragua,1.0,f +37259,,Vanuatu,1.0,f +31437,90%,Denmark,1.0,f +32013,,,1.0,f +46607,100%,Brazil,4.0,f +46893,100%,,1.0,f +37784,100%,Finland,2.0,t +14106,100%,Guinea,1.0,f +25297,50%,,1.0,f +26209,,Canada,1.0,f +28828,100%,Isle of Man,198.0,t +15277,100%,,1.0,f +8388,100%,Puerto Rico,1.0,f +34648,100%,,2.0,f +30764,100%,Slovakia (Slovak Republic),8.0,t +49971,,,1.0,f +41376,,,1.0,f +16736,,Lithuania,1.0,f +32131,100%,,1.0,f +15067,100%,Congo,1.0,f +32988,,Faroe Islands,2.0,f +31782,,Costa Rica,2.0,f +18320,50%,Reunion,19.0,t +25662,100%,Bouvet Island (Bouvetoya),1.0,f +48945,100%,,1.0,f +42546,88%,Russian Federation,1.0,f +27307,67%,,3.0,f +28722,,Isle of Man,1.0,f +48483,100%,Marshall Islands,1.0,f +16607,,Peru,3.0,t +21069,,,1.0,f +27906,100%,Marshall Islands,1.0,f +47818,80%,Lithuania,2.0,f +21337,,Marshall Islands,1.0,f +15596,100%,Turks and Caicos Islands,1.0,f +29044,100%,Russian Federation,1.0,f +16723,100%,Lebanon,1.0,t +32988,,Faroe Islands,2.0,f +2940,,Lebanon,1.0,f +33776,100%,,1.0,f +42115,,,2.0,f +27553,100%,,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +9977,,Sao Tome and Principe,3.0,f +3379,,Malta,1.0,t +34255,,Isle of Man,1.0,t +28828,100%,Isle of Man,198.0,t +20153,96%,Reunion,51.0,f +39830,100%,,2.0,f +33058,,Lebanon,1.0,f +2597,100%,Nicaragua,13.0,t +28828,100%,Isle of Man,198.0,t +20153,96%,Reunion,51.0,f +6326,,Denmark,1.0,f +38282,,Tonga,5.0,f +29423,100%,Niue,3.0,f +36002,100%,Niue,1.0,f +21931,100%,Costa Rica,1.0,f +12212,,Lebanon,1.0,f +18979,100%,Tonga,6.0,t +20539,100%,Chad,5.0,f +11252,,Afghanistan,1.0,f +9719,100%,Guinea,1.0,f +25319,,,1.0,f +18483,,Micronesia,2.0,f +45844,100%,Guinea,1.0,f +8112,,Micronesia,1.0,f +31889,100%,Zimbabwe,1.0,t +24252,80%,Tonga,2.0,f +22523,100%,Rwanda,9.0,f +20539,100%,Chad,5.0,f +27928,100%,,4.0,f +42976,100%,Isle of Man,1.0,f +6847,100%,Vietnam,4.0,f +38517,100%,Lebanon,1.0,f +9617,,Kenya,1.0,f +23226,,Switzerland,1.0,f +48390,100%,Andorra,1.0,t +704,67%,,5.0,f +48133,,Isle of Man,45.0,f +704,67%,,5.0,f +704,67%,,5.0,f +704,67%,,5.0,f +704,67%,,5.0,f +15693,100%,Vietnam,6.0,f +36459,,China,1.0,f +15693,100%,Vietnam,6.0,f +37849,,Nauru,1.0,f +15693,100%,Vietnam,6.0,f +21340,100%,Lithuania,1.0,t +15693,100%,Vietnam,6.0,f +31273,,Faroe Islands,1.0,t +50039,100%,Isle of Man,4.0,f +29322,100%,Gambia,1.0,f +35264,100%,Uzbekistan,1.0,t +19638,100%,,1.0,t +31446,100%,Faroe Islands,9.0,f +47274,100%,Tonga,48.0,f +5002,100%,Isle of Man,2.0,f +34042,100%,Marshall Islands,37.0,f +30858,,Maldives,1.0,f +30052,100%,Turkmenistan,1.0,f +38625,,Chile,1.0,f +28244,80%,,4.0,f +30216,98%,Maldives,34.0,f +8443,100%,Marshall Islands,1.0,f +21318,100%,Russian Federation,2.0,t +40264,100%,Russian Federation,1.0,f +34852,,Niue,10.0,t +21592,100%,Marshall Islands,1.0,f +38402,100%,Mauritania,1.0,f +32203,100%,Barbados,176.0,f +20334,99%,Niger,171.0,t +20201,100%,Ghana,1.0,f +2673,93%,Anguilla,2.0,f +40303,100%,Guinea,82.0,f +46817,100%,France,1.0,f +22050,100%,Peru,2.0,f +50039,100%,Isle of Man,4.0,f +10881,100%,Venezuela,1.0,f +12773,,,1.0,f +50039,100%,Isle of Man,4.0,f +36099,100%,Sao Tome and Principe,1.0,f +17507,100%,Guinea,6.0,f +15620,95%,Marshall Islands,5.0,f +30480,100%,Chile,1.0,f +28403,90%,,2.0,f +32599,,Gambia,1.0,f +48133,,Isle of Man,45.0,f +36039,,Niger,2.0,t +18072,99%,Montserrat,37.0,f +10767,100%,Marshall Islands,2.0,f +40078,100%,Croatia,7.0,t +38601,100%,,1.0,f +44203,,Brunei Darussalam,1.0,f +32625,100%,Canada,1.0,f +34832,80%,Sao Tome and Principe,7.0,t +34832,80%,Sao Tome and Principe,7.0,t +18629,100%,Sao Tome and Principe,3.0,f +34832,80%,Sao Tome and Principe,7.0,t +26875,100%,Tanzania,1.0,f +15974,100%,,3.0,f +5289,,Nicaragua,1.0,f +23869,,,1.0,f +15534,100%,,1.0,f +13298,,Vanuatu,1.0,f +17030,100%,Croatia,5.0,f +31748,100%,Lithuania,1.0,t +28553,100%,Greenland,3.0,f +17254,70%,,3.0,t +40824,,Tanzania,1.0,t +23648,100%,Denmark,2.0,t +43037,100%,,1.0,f +47125,93%,Kiribati,4.0,f +16908,,Gibraltar,1.0,f +32649,,Tonga,1.0,f +18876,60%,Netherlands,26.0,f +36831,25%,Russian Federation,1.0,f +24634,100%,Guinea,20.0,t +24634,100%,Guinea,20.0,t +24634,100%,Guinea,20.0,t +13411,,Lebanon,2.0,t +26331,100%,Brazil,2.0,t +36229,89%,Togo,4.0,f +35522,100%,Kiribati,10.0,f +32886,90%,Russian Federation,6.0,f +21060,100%,Tunisia,1.0,f +1375,100%,Micronesia,5.0,f +5965,100%,,1.0,f +33111,100%,Denmark,1.0,f +38523,,Tonga,2.0,f +36235,,Uzbekistan,1.0,f +22870,,Cuba,1.0,f +49579,90%,Marshall Islands,2.0,t +30297,,Vanuatu,1.0,f +3685,100%,Sao Tome and Principe,1.0,f +19740,,Isle of Man,3.0,f +19740,,Isle of Man,3.0,f +32203,100%,Barbados,176.0,f +19214,100%,Senegal,55.0,f +23264,44%,,1.0,f +12031,,Lebanon,1.0,f +25588,,Jersey,2.0,f +5714,90%,Pakistan,3.0,f +3371,100%,Switzerland,1.0,t +20334,99%,Niger,171.0,t +23457,100%,Niue,2.0,t +49282,,Tonga,2.0,f +30286,100%,Montserrat,39.0,f +10361,100%,,4.0,f +30286,100%,Montserrat,39.0,f +2391,,,4.0,f +2391,,,4.0,f +2391,,,4.0,f +43152,100%,Nicaragua,82.0,t +24634,100%,Guinea,20.0,t +2391,,,4.0,f +26445,90%,Togo,2.0,f +32203,100%,Barbados,176.0,f +19528,,Nicaragua,1.0,f +18484,100%,Gambia,108.0,f +21908,100%,Niue,49.0,f +5056,100%,,1.0,t +381,50%,Nauru,1.0,f +32203,100%,Barbados,176.0,f +28531,100%,Russian Federation,1.0,f +33941,100%,Chad,2.0,t +25570,,Nauru,6.0,f +30286,100%,Montserrat,39.0,f +9354,100%,Spain,12.0,f +36183,100%,Isle of Man,1.0,t +49706,,Cocos (Keeling) Islands,1.0,t +48124,,Marshall Islands,1.0,f +49445,100%,Denmark,4.0,f +31769,100%,Zimbabwe,1.0,t +31614,0%,Niger,1.0,t +42220,100%,,1.0,f +12409,29%,Oman,3.0,f +30286,100%,Montserrat,39.0,f +26042,,Afghanistan,4.0,f +46813,100%,,1.0,f +39133,,Cook Islands,1.0,f +44420,100%,Faroe Islands,2.0,f +9442,50%,,1.0,f +19602,100%,Lithuania,24.0,f +40079,100%,Faroe Islands,1.0,f +3042,100%,Rwanda,1.0,t +26442,33%,,1.0,f +9127,,,1.0,f +18315,100%,Bosnia and Herzegovina,1.0,f +12409,29%,Oman,3.0,f +34166,100%,Marshall Islands,1.0,f +3788,100%,Marshall Islands,2.0,f +13332,90%,Marshall Islands,1.0,f +35541,,,1.0,f +19758,100%,Marshall Islands,1.0,f +10711,93%,Uganda,108.0,t +27774,78%,Vietnam,15.0,f +30813,100%,Anguilla,1.0,f +35256,,Gibraltar,1.0,f +19722,100%,United Kingdom,1.0,f +20706,100%,Guinea,1.0,f +31360,100%,,1.0,f +35066,100%,,1.0,f +19350,100%,,2.0,t +10360,,Cape Verde,1.0,f +48417,100%,Djibouti,5.0,f +49552,,,1.0,f +48163,100%,,1.0,f +11705,,Costa Rica,1.0,f +46248,100%,,1.0,t +27804,100%,El Salvador,2.0,t +17251,90%,Isle of Man,1.0,f +16433,,,1.0,t +40019,100%,,1.0,f +4153,50%,,2.0,f +33102,100%,,2.0,f +7817,,Isle of Man,2.0,f +50007,,Anguilla,1.0,f +12938,92%,Reunion,12.0,f +38535,,Vanuatu,1.0,t +11220,,Cape Verde,1.0,f +19855,100%,Kiribati,37.0,t +31529,100%,Wallis and Futuna,6.0,f +40223,100%,,1.0,f +23374,0%,Togo,2.0,t +31594,100%,Philippines,19.0,t +25344,90%,Faroe Islands,8.0,f +25344,90%,Faroe Islands,8.0,f +25344,90%,Faroe Islands,8.0,f +16173,100%,Rwanda,1.0,f +35163,100%,,1.0,t +32203,100%,Barbados,176.0,f +32812,100%,,1.0,f +18484,100%,Gambia,108.0,f +11307,100%,Monaco,2.0,t +43777,100%,Denmark,18.0,f +22209,90%,,1.0,f +47335,78%,Guernsey,15.0,f +330,100%,United Kingdom,1.0,f +30286,100%,Montserrat,39.0,f +39960,90%,,1.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +16414,,,19.0,f +38406,96%,Russian Federation,6.0,t +24026,98%,Cape Verde,69.0,t +23430,100%,Reunion,16.0,f +8225,95%,Barbados,31.0,f +2499,100%,Costa Rica,3.0,f +17000,100%,Niue,2.0,f +46768,100%,,1.0,f +25306,,,1.0,f +1288,,Reunion,1.0,f +30286,100%,Montserrat,39.0,f +30286,100%,Montserrat,39.0,f +45598,83%,China,17.0,f +30286,100%,Montserrat,39.0,f +47335,78%,Guernsey,15.0,f +19264,100%,,1.0,f +24195,56%,Barbados,14.0,f +13354,100%,Isle of Man,2.0,t +43853,100%,,2.0,f +28518,100%,Uzbekistan,1.0,f +47335,78%,Guernsey,15.0,f +41254,100%,Niue,1.0,f +47335,78%,Guernsey,15.0,f +28828,100%,Isle of Man,198.0,t +47335,78%,Guernsey,15.0,f +13070,100%,Fiji,45.0,f +30286,100%,Montserrat,39.0,f +47335,78%,Guernsey,15.0,f +1472,100%,Chile,2.0,f +48417,100%,Djibouti,5.0,f +47335,78%,Guernsey,15.0,f +49394,89%,Kiribati,1.0,f +15479,100%,Kenya,3.0,t +4330,94%,Ukraine,60.0,t +27546,100%,Netherlands Antilles,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +16042,0%,Rwanda,2.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +22721,100%,Ecuador,109.0,f +1120,80%,,1.0,f +35772,100%,,1.0,f +11717,,,1.0,f +22721,100%,Ecuador,109.0,f +10501,100%,,1.0,f +46428,100%,Niue,4.0,f +657,100%,Marshall Islands,2.0,f +34520,100%,Kiribati,1.0,f +43237,40%,Montserrat,24.0,f +15396,,Lebanon,1.0,f +49179,,Faroe Islands,1.0,f +14697,100%,Malawi,1.0,f +33512,100%,El Salvador,1.0,f +24113,,,1.0,f +48868,,,1.0,f +25424,,Rwanda,1.0,f +680,100%,,1.0,f +27185,100%,,1.0,f +16038,100%,French Guiana,1.0,f +39892,100%,Tonga,31.0,t +14807,,,1.0,f +30212,,,1.0,f +19733,80%,,1.0,f +43049,100%,United Kingdom,1.0,f +39812,100%,Nicaragua,6.0,t +39812,100%,Nicaragua,6.0,t +36605,,Sao Tome and Principe,4.0,t +4003,0%,,1.0,t +32518,100%,,1.0,t +28109,,,1.0,f +31665,100%,,1.0,f +21213,94%,Kiribati,5.0,t +43261,100%,,1.0,f +10864,100%,Nicaragua,2.0,t +19296,100%,,1.0,f +32053,100%,,1.0,t +9493,100%,,3.0,t +27168,100%,Tunisia,1.0,t +9493,100%,,3.0,t +13070,100%,Fiji,45.0,f +30838,,,1.0,f +10932,,,1.0,f +44169,97%,Portugal,39.0,f +36849,,Togo,1.0,f +6146,,,1.0,f +24313,0%,Bermuda,27.0,f +32203,100%,Barbados,176.0,f +7703,,,1.0,f +7659,100%,,1.0,f +18416,80%,,2.0,f +4374,100%,,1.0,f +18416,80%,,2.0,f +23972,100%,Zimbabwe,2.0,t +26901,100%,,1.0,t +3168,,Micronesia,2.0,t +24135,70%,,1.0,f +36357,100%,Ecuador,1.0,f +49902,50%,,3.0,f +10739,,Reunion,2.0,f +39363,67%,,1.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +14601,90%,,9.0,f +34335,100%,Jersey,2.0,t +14318,95%,China,2.0,f +7176,90%,,4.0,f +7176,90%,,4.0,f +33017,,Estonia,1.0,f +7176,90%,,4.0,f +7176,90%,,4.0,f +36785,,,2.0,f +13260,,Barbados,1.0,f +5784,100%,,1.0,f +6177,100%,Niger,2.0,f +26175,100%,Russian Federation,4.0,t +30286,100%,Montserrat,39.0,f +39315,100%,Marshall Islands,1.0,f +44204,,Bosnia and Herzegovina,1.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +45598,83%,China,17.0,f +18484,100%,Gambia,108.0,f +13781,100%,Tonga,2.0,f +25542,,Micronesia,1.0,f +47333,100%,Niue,4.0,f +11946,89%,Zimbabwe,2.0,f +8400,50%,,1.0,f +13364,91%,Netherlands,21.0,f +6116,100%,Monaco,8.0,f +8644,,,1.0,f +32038,100%,Indonesia,35.0,f +30286,100%,Montserrat,39.0,f +49411,100%,Canada,4.0,f +3106,,Kiribati,2.0,t +49411,100%,Canada,4.0,f +13080,,Uganda,1.0,f +15459,100%,Niue,1.0,f +4788,,Tonga,7.0,f +29647,100%,Peru,1305.0,f +38809,,Canada,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +20994,63%,Zimbabwe,1.0,f +6335,,,1.0,f +19656,100%,Russian Federation,1.0,f +6095,100%,,1.0,f +5185,0%,Gambia,12.0,f +4575,100%,Pakistan,3.0,f +9903,100%,Kiribati,3.0,f +28324,,,1.0,f +12385,100%,,1.0,f +2112,100%,Nicaragua,2.0,f +9879,,Cocos (Keeling) Islands,2.0,f +17507,100%,Guinea,6.0,f +3674,,,1.0,t +33886,,Gambia,9.0,t +14389,100%,,1.0,t +2809,,,1.0,t +34328,100%,,2.0,f +29304,,,2.0,f +573,100%,Zimbabwe,3.0,f +5521,100%,,1.0,f +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +46602,100%,,1.0,t +44839,100%,,1.0,f +4330,94%,Ukraine,60.0,t +30379,,,1.0,f +9903,100%,Kiribati,3.0,f +1031,100%,Russian Federation,2.0,f +24988,,,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +36025,100%,Djibouti,6.0,t +42286,94%,Vietnam,9.0,t +22661,100%,,1.0,f +12882,,Sao Tome and Principe,1.0,f +32161,100%,Nicaragua,5.0,t +5768,,Nauru,1.0,f +47205,100%,,4.0,f +18362,100%,Uganda,5.0,f +13090,0%,Marshall Islands,2.0,f +18782,,Russian Federation,3.0,f +13882,100%,,1.0,f +6659,100%,Isle of Man,2.0,t +11045,100%,French Guiana,1.0,t +27619,100%,,1.0,f +32038,100%,Indonesia,35.0,f +32049,,,1.0,t +42715,100%,Niue,6.0,t +48160,,,1.0,f +30286,100%,Montserrat,39.0,f +2872,89%,Maldives,2.0,f +8891,100%,,1.0,f +34497,100%,,1.0,f +2732,100%,Turkmenistan,4.0,f +24598,100%,Russian Federation,1.0,f +38344,,,1.0,f +3302,,,1.0,f +26419,100%,Barbados,6.0,f +13934,70%,,1.0,f +22654,100%,,2.0,f +32205,100%,Kiribati,2.0,t +32205,100%,Kiribati,2.0,t +20056,100%,Denmark,6.0,f +38701,40%,Niger,27.0,f +13141,,Kenya,2.0,f +32203,100%,Barbados,176.0,f +41136,,,1.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +14514,,China,80.0,t +26578,45%,Ecuador,10.0,f +24118,98%,Ghana,21.0,t +20329,100%,Reunion,21.0,f +16225,100%,Micronesia,2.0,t +36693,90%,,3.0,f +32203,100%,Barbados,176.0,f +12503,,Pakistan,1.0,f +30286,100%,Montserrat,39.0,f +1349,,Svalbard & Jan Mayen Islands,1.0,f +33755,,,1.0,f +12137,99%,Sao Tome and Principe,33.0,t +40793,100%,,75.0,t +31446,100%,Faroe Islands,9.0,f +19323,,,1.0,f +43510,,Chad,2.0,f +30196,,Marshall Islands,1.0,f +14282,100%,,1.0,f +38390,,,1.0,f +32203,100%,Barbados,176.0,f +4896,,,1.0,f +20056,100%,Denmark,6.0,f +39812,100%,Nicaragua,6.0,t +33567,100%,Croatia,1.0,f +1073,100%,Kenya,1.0,f +11920,100%,,1.0,f +11351,,Faroe Islands,1.0,f +1030,100%,Lithuania,1.0,f +46597,100%,Tonga,2.0,t +27284,100%,Canada,1.0,f +20056,100%,Denmark,6.0,f +31399,100%,,3.0,t +20056,100%,Denmark,6.0,f +39431,,,2.0,f +48863,50%,Isle of Man,1.0,f +47013,100%,Slovakia (Slovak Republic),1.0,f +11063,90%,,16.0,t +39727,0%,Zimbabwe,1.0,f +32718,90%,,1.0,f +45663,,,1.0,f +38383,100%,,2.0,f +6789,100%,Gambia,2.0,t +11124,100%,Sao Tome and Principe,3.0,f +32466,100%,Lebanon,1.0,f +48506,50%,,1.0,t +19214,100%,Senegal,55.0,f +39209,100%,,1.0,f +5420,100%,Tonga,41.0,f +29665,93%,,3.0,f +27963,100%,,1.0,t +751,,,1.0,f +23035,100%,,2.0,f +5897,75%,Guinea,1.0,f +3421,100%,,4.0,f +25735,,,1.0,f +8316,100%,,1.0,f +24658,,,1.0,t +2644,100%,Zimbabwe,11.0,t +11913,100%,Gambia,5.0,f +40053,100%,,1.0,t +46457,83%,Russian Federation,2.0,t +20863,90%,,1.0,f +49907,,France,1.0,f +17795,100%,Uzbekistan,11.0,t +43853,100%,,2.0,f +37044,100%,Russian Federation,1.0,f +8408,,,1.0,f +10415,100%,,1.0,f +19214,100%,Senegal,55.0,f +43800,100%,Maldives,5.0,t +27584,100%,Chile,2.0,t +40963,100%,Korea,1.0,f +32725,33%,,2.0,f +48102,96%,Indonesia,4.0,f +20165,94%,Ukraine,30.0,f +44074,100%,Nicaragua,1.0,f +28403,90%,,2.0,f +31214,100%,,1.0,f +9232,25%,Lithuania,1.0,f +26186,100%,,2.0,f +34069,100%,Andorra,3.0,t +26186,100%,,2.0,f +25665,,,1.0,f +43715,,,1.0,f +37771,,Costa Rica,1.0,f +31499,,,1.0,f +23557,,Niger,1.0,f +17610,100%,Gibraltar,1.0,t +49691,100%,Somalia,1.0,f +35213,83%,Russian Federation,1.0,f +12331,,Faroe Islands,1.0,f +14426,100%,,1.0,f +48102,96%,Indonesia,4.0,f +22203,100%,Papua New Guinea,1.0,f +17281,,Bouvet Island (Bouvetoya),1.0,f +11499,100%,,1.0,t +21689,100%,,1.0,t +21908,100%,Niue,49.0,f +48862,100%,Nauru,4.0,f +7022,92%,Turks and Caicos Islands,2.0,f +7356,100%,Ukraine,1.0,f +30514,,,1.0,f +27310,,,1.0,f +45913,100%,Niue,2.0,f +25548,100%,El Salvador,2.0,f +32163,100%,,1.0,f +47714,,Russian Federation,2.0,f +10413,100%,France,2.0,t +25465,100%,Gambia,1.0,f +30890,90%,Niue,2.0,f +18057,100%,Tonga,2.0,f +18057,100%,Tonga,2.0,f +34899,95%,Tonga,11.0,f +945,,,1.0,f +30888,100%,,1.0,f +12456,100%,,2.0,f +37002,90%,,1.0,f +38212,100%,Niue,1.0,t +37928,,France,1.0,f +37197,60%,Togo,1.0,f +33856,100%,Bouvet Island (Bouvetoya),1.0,f +46586,100%,Bosnia and Herzegovina,12.0,f +22331,99%,Rwanda,50.0,t +45241,100%,Kiribati,2.0,f +30414,,,2.0,f +26193,88%,,3.0,f +33640,100%,French Polynesia,1.0,f +14199,,,1.0,f +11426,100%,,3.0,t +25308,100%,Guinea,1.0,t +21435,100%,Cape Verde,7.0,t +43610,100%,Guernsey,1.0,f +6897,100%,El Salvador,1.0,f +8530,,Togo,1.0,f +32835,100%,,1.0,t +30618,100%,Indonesia,1.0,t +39538,,Greenland,3.0,f +40689,100%,Cuba,23.0,f +26326,100%,Indonesia,1.0,f +10003,,Bosnia and Herzegovina,1.0,f +40689,100%,Cuba,23.0,f +40689,100%,Cuba,23.0,f +49125,100%,Russian Federation,1.0,f +10413,100%,France,2.0,t +43674,,,1.0,t +6540,100%,Kiribati,2.0,f +40689,100%,Cuba,23.0,f +27819,100%,Kenya,1.0,f +1780,,Isle of Man,1.0,f +6540,100%,Kiribati,2.0,f +22452,,Christmas Island,1.0,f +29697,,Lebanon,1.0,f +6209,80%,Nicaragua,9.0,t +34797,,Uzbekistan,1.0,t +8493,100%,,1.0,t +34293,,Turks and Caicos Islands,1.0,f +34517,100%,Russian Federation,1.0,f +47259,,,1.0,t +13194,100%,Kiribati,2.0,f +759,100%,Zimbabwe,1.0,f +35604,100%,Micronesia,1.0,f +48106,100%,Cocos (Keeling) Islands,1.0,f +14366,,,1.0,f +17529,100%,Turkmenistan,1.0,f +9384,,Bosnia and Herzegovina,2.0,t +411,100%,Cuba,2.0,f +32050,100%,Isle of Man,1.0,f +40604,,,1.0,f +1907,100%,Russian Federation,2.0,f +25638,100%,,2.0,f +45788,90%,Afghanistan,2.0,t +27625,100%,Malta,2.0,f +40117,75%,Uganda,1.0,t +4723,100%,,8.0,f +4723,100%,,8.0,f +4723,100%,,8.0,f +42443,97%,Tonga,7.0,t +4723,100%,,8.0,f +4723,100%,,8.0,f +4723,100%,,8.0,f +4723,100%,,8.0,f +4723,100%,,8.0,f +20153,96%,Reunion,51.0,f +16555,100%,Denmark,1.0,f +1933,,,1.0,f +35025,100%,Pakistan,4.0,f +6688,100%,,1.0,f +20837,100%,Nauru,3.0,f +12802,100%,Niger,3.0,t +10143,100%,Sao Tome and Principe,2.0,f +37158,100%,Faroe Islands,1.0,f +9079,,Afghanistan,1.0,f +36275,100%,Croatia,1.0,t +40955,60%,,1.0,f +26238,100%,Turkmenistan,2.0,t +34069,100%,Andorra,3.0,t +27719,89%,,4.0,f +1879,,Nauru,1.0,f +30286,100%,Montserrat,39.0,f +34069,100%,Andorra,3.0,t +15308,,Monaco,1.0,f +44326,,Sao Tome and Principe,1.0,f +40793,100%,,75.0,t +45018,95%,Portugal,3.0,f +34130,,,1.0,f +2712,100%,,1.0,f +14063,100%,Denmark,10.0,t +30286,100%,Montserrat,39.0,f +7129,100%,Guinea,4.0,f +30961,100%,,1.0,f +24033,100%,Uganda,45.0,f +45697,100%,,2.0,f +24924,,Turkmenistan,1.0,t +39109,77%,Ukraine,24.0,t +5022,,Kiribati,1.0,f +8224,98%,Estonia,12.0,f +32203,100%,Barbados,176.0,f +41604,100%,Tonga,4.0,f +1132,88%,Tonga,1.0,f +8355,87%,Togo,16.0,f +149,,France,2.0,t +24103,100%,United Kingdom,3.0,f +30286,100%,Montserrat,39.0,f +27334,100%,China,16.0,f +42422,100%,Isle of Man,1.0,f +33798,89%,Philippines,1.0,t +28842,100%,Reunion,2.0,t +11567,100%,Niger,31.0,t +27434,,,1.0,t +24323,100%,Faroe Islands,3.0,f +34863,,Tonga,4.0,f +14339,99%,Jersey,5.0,f +13203,100%,Reunion,1.0,t +36354,100%,Kenya,1.0,t +29022,100%,,1.0,f +38056,,Cape Verde,1.0,f +18076,100%,Afghanistan,2.0,f +858,,,1.0,t +32858,100%,Marshall Islands,12.0,f +3889,100%,,1.0,f +36803,100%,Gibraltar,2.0,t +7378,,,1.0,f +32858,100%,Marshall Islands,12.0,f +36666,,Jersey,1.0,t +2082,100%,Turkmenistan,2.0,f +9553,100%,,4.0,t +40873,,El Salvador,1.0,f +18616,,Netherlands,1.0,t +17575,100%,Gambia,2.0,f +23364,100%,,1.0,t +18274,100%,,4.0,f +1714,100%,Costa Rica,3.0,f +20150,100%,Jersey,1.0,f +18274,100%,,4.0,f +18274,100%,,4.0,f +18307,100%,,1.0,f +18274,100%,,4.0,f +28595,,,1.0,f +32556,90%,Estonia,11.0,t +14339,99%,Jersey,5.0,f +18078,100%,Montserrat,13.0,t +34147,100%,,1.0,t +44542,100%,Brazil,2.0,f +6248,,,1.0,t +14339,99%,Jersey,5.0,f +32858,100%,Marshall Islands,12.0,f +28588,,,1.0,t +2369,30%,Isle of Man,2.0,f +21636,100%,,1.0,f +15698,,,1.0,f +21392,50%,,2.0,t +36445,100%,United Kingdom,7.0,f +29075,100%,,1.0,f +35466,100%,,2.0,f +7890,,Micronesia,1.0,f +623,84%,,5.0,f +31095,100%,,1.0,f +28372,100%,Indonesia,12.0,f +34444,,,1.0,t +40397,,,1.0,t +25570,,Nauru,6.0,f +45598,83%,China,17.0,f +15958,,,1.0,f +40927,100%,Micronesia,3.0,f +18484,100%,Gambia,108.0,f +42148,86%,Isle of Man,1.0,t +48162,100%,Marshall Islands,1.0,f +39190,,,1.0,f +9971,100%,,1.0,f +26003,100%,,3.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43183,98%,Tonga,12.0,t +20396,100%,,4.0,f +27550,,,1.0,f +20396,100%,,4.0,f +3172,,,1.0,f +7803,,,1.0,t +39333,,,1.0,f +40720,100%,,1.0,f +36462,,,1.0,f +4410,,,1.0,f +45287,,,1.0,f +19787,100%,Mexico,1.0,t +8238,91%,Barbados,15.0,t +5608,100%,,1.0,f +27679,,,1.0,f +35625,98%,Estonia,25.0,t +48701,100%,Tonga,1.0,f +3754,,,1.0,t +21365,100%,,4.0,f +49445,100%,Denmark,4.0,f +24893,100%,Rwanda,9.0,f +32858,100%,Marshall Islands,12.0,f +27267,95%,Tonga,6.0,f +14628,100%,Uzbekistan,1.0,f +15017,,Kenya,1.0,f +7178,100%,Guernsey,1.0,t +49487,99%,Marshall Islands,6.0,f +25147,99%,Niger,48.0,f +29829,,,1.0,f +541,93%,Marshall Islands,17.0,f +44779,,,1.0,f +24651,,Kiribati,4.0,f +36749,100%,,2.0,f +40908,,,1.0,t +9421,100%,,5.0,f +30920,,Kenya,1.0,f +5057,100%,Zimbabwe,23.0,t +5057,100%,Zimbabwe,23.0,t +25770,,Micronesia,1.0,f +11441,50%,,1.0,t +19945,,,1.0,f +20792,,China,1.0,f +41395,100%,,3.0,f +12716,100%,Sao Tome and Principe,1.0,f +19214,100%,Senegal,55.0,f +34236,100%,,1.0,f +20006,100%,Turkmenistan,1.0,t +13182,,,1.0,f +4330,94%,Ukraine,60.0,t +4313,,,1.0,f +45429,100%,Niue,1.0,f +36693,90%,,3.0,f +35221,100%,Turks and Caicos Islands,30.0,t +12807,100%,El Salvador,1.0,f +44316,98%,Uganda,6.0,t +3710,,,1.0,f +24893,100%,Rwanda,9.0,f +29745,90%,Andorra,1.0,f +27988,100%,Niue,1.0,t +23452,100%,Philippines,4.0,f +28069,100%,Togo,4.0,f +34279,0%,,1.0,f +33638,100%,Sao Tome and Principe,3.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +17783,63%,,1.0,f +9363,95%,Ukraine,50.0,f +36445,100%,United Kingdom,7.0,f +2065,,Gambia,1.0,f +44694,100%,Cape Verde,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +48075,,United Kingdom,4.0,t +45018,95%,Portugal,3.0,f +49398,88%,Barbados,18.0,t +49549,,,35.0,f +36540,100%,,33.0,t +24033,100%,Uganda,45.0,f +49549,,,35.0,f +10685,100%,Guinea,3.0,f +49549,,,35.0,f +24033,100%,Uganda,45.0,f +29124,100%,Cape Verde,1.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +17261,100%,France,1.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +40101,100%,Micronesia,2.0,t +24511,100%,Indonesia,1.0,f +34213,,Lebanon,1.0,f +18380,,El Salvador,1.0,f +24488,100%,Kenya,3.0,t +8996,,Montserrat,2.0,t +22265,100%,French Guiana,1.0,f +24033,100%,Uganda,45.0,f +5067,,Tonga,1.0,f +38991,100%,Faroe Islands,1.0,t +49549,,,35.0,f +33282,100%,Svalbard & Jan Mayen Islands,1.0,f +49549,,,35.0,f +4190,100%,United Kingdom,2.0,f +12812,99%,Croatia,32.0,f +49549,,,35.0,f +35219,97%,Tonga,4.0,f +5726,100%,Tonga,1.0,f +49549,,,35.0,f +49549,,,35.0,f +18876,60%,Netherlands,26.0,f +49549,,,35.0,f +12812,99%,Croatia,32.0,f +15735,100%,Malta,1.0,f +38814,100%,,1.0,f +49549,,,35.0,f +45306,89%,Rwanda,7.0,t +43071,100%,Maldives,14.0,f +44533,100%,Afghanistan,5.0,f +49549,,,35.0,f +49549,,,35.0,f +29143,100%,,1.0,f +49549,,,35.0,f +49549,,,35.0,f +22612,100%,Kenya,1.0,t +28828,100%,Isle of Man,198.0,t +24470,100%,Uzbekistan,2.0,t +13120,83%,,1.0,f +25101,100%,France,1.0,f +16609,100%,Switzerland,2.0,f +32664,100%,Congo,4.0,f +24063,100%,Saint Helena,1.0,t +17815,80%,Ghana,3.0,f +28766,100%,Estonia,16.0,f +3274,86%,Barbados,24.0,f +8475,90%,Somalia,1.0,t +10637,,Kiribati,1.0,f +5406,100%,Gambia,3.0,f +32858,100%,Marshall Islands,12.0,f +12282,100%,Lithuania,1.0,f +36540,100%,,33.0,t +25079,100%,,1.0,f +49549,,,35.0,f +3451,,Peru,1.0,f +49549,,,35.0,f +21908,100%,Niue,49.0,f +49549,,,35.0,f +49549,,,35.0,f +49549,,,35.0,f +26936,100%,Togo,2.0,f +49549,,,35.0,f +48804,,Nicaragua,1.0,f +30781,100%,Tonga,1.0,f +21908,100%,Niue,49.0,f +9147,100%,,4.0,f +49549,,,35.0,f +49549,,,35.0,f +36445,100%,United Kingdom,7.0,f +13945,,,2.0,t +8035,,Rwanda,1.0,f +30286,100%,Montserrat,39.0,f +36445,100%,United Kingdom,7.0,f +10580,,Zimbabwe,3.0,t +36677,100%,Maldives,6.0,f +37247,100%,Tanzania,3.0,f +38695,100%,United Kingdom,4.0,t +5829,100%,,1.0,f +14485,,,1.0,f +46327,,,1.0,f +9363,95%,Ukraine,50.0,f +37858,92%,Anguilla,7.0,f +10202,89%,Nicaragua,10.0,f +2249,100%,,1.0,f +23386,50%,,3.0,f +46597,100%,Tonga,2.0,t +25729,100%,Cuba,2.0,f +11753,100%,Gambia,11.0,t +3848,,,2.0,f +34852,,Niue,10.0,t +18022,90%,France,2.0,f +4515,100%,Gambia,2.0,f +23661,100%,,2.0,t +21607,90%,France,3.0,t +45123,50%,,1.0,t +42416,97%,Puerto Rico,20.0,f +26456,100%,Congo,1.0,f +49849,,,1.0,f +49363,80%,,1.0,f +48254,,Micronesia,1.0,f +44385,50%,Vanuatu,1.0,f +23661,100%,,2.0,t +24739,100%,,1.0,t +22920,,Lebanon,1.0,f +21637,,Russian Federation,2.0,f +33360,100%,Lithuania,1.0,f +3559,100%,,1.0,t +33964,,French Guiana,3.0,f +16335,,Saint Helena,1.0,f +15163,100%,Niue,1.0,f +27073,,United Kingdom,3.0,t +42537,,,2.0,f +13070,100%,Fiji,45.0,f +5730,100%,,1.0,f +2388,,Mauritania,1.0,f +4182,0%,France,1.0,f +21647,,Austria,3.0,f +8770,100%,El Salvador,3.0,f +22173,,Guinea,1.0,f +7901,100%,Guinea,1.0,f +5230,100%,Brazil,3.0,f +49861,,Niue,1.0,f +770,80%,El Salvador,1.0,t +28828,100%,Isle of Man,198.0,t +36774,100%,Tonga,19.0,f +871,75%,,3.0,f +23382,100%,Marshall Islands,1.0,t +21221,100%,Russian Federation,1.0,f +5232,93%,,2.0,t +26165,100%,Micronesia,1.0,f +8968,67%,,1.0,f +35209,100%,,1.0,f +19188,,Mauritania,1.0,f +40447,100%,Brazil,1.0,f +4948,0%,Niue,1.0,f +29701,98%,Vietnam,3.0,f +13946,100%,France,2.0,f +30330,,Faroe Islands,2.0,f +20903,100%,,3.0,f +20903,100%,,3.0,f +20903,100%,,3.0,f +43803,50%,Sao Tome and Principe,2.0,f +24463,,,3.0,f +24463,,,3.0,f +24463,,,3.0,f +6713,100%,Mauritania,10.0,f +47092,100%,Mauritania,1.0,f +26211,,Turkmenistan,1.0,f +43041,,Isle of Man,3.0,f +24195,56%,Barbados,14.0,f +42416,97%,Puerto Rico,20.0,f +1137,100%,,4.0,f +1137,100%,,4.0,f +1137,100%,,4.0,f +46118,100%,Nicaragua,11.0,f +1137,100%,,4.0,f +9177,,Maldives,1.0,f +1537,100%,,3.0,f +25763,92%,Micronesia,4.0,f +26900,100%,Senegal,1.0,f +25687,100%,Anguilla,17.0,f +24536,,Uzbekistan,1.0,t +41657,87%,Switzerland,4.0,f +11904,100%,Nauru,1.0,f +24026,98%,Cape Verde,69.0,t +12812,99%,Croatia,32.0,f +38962,100%,Gibraltar,2.0,t +1392,95%,,1.0,f +10580,,Zimbabwe,3.0,t +18044,100%,Brazil,1.0,t +40421,96%,Jersey,29.0,t +10711,93%,Uganda,108.0,t +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +34657,,Kenya,2.0,f +9239,100%,Cuba,17.0,f +45598,83%,China,17.0,f +32501,,Uganda,1.0,f +8453,100%,Rwanda,6.0,t +49412,100%,,1.0,f +30102,100%,Togo,2.0,t +25118,100%,Indonesia,4.0,f +24844,100%,Uzbekistan,6.0,f +27774,78%,Vietnam,15.0,f +47232,,Cocos (Keeling) Islands,1.0,f +9239,100%,Cuba,17.0,f +31041,96%,Ecuador,35.0,f +32858,100%,Marshall Islands,12.0,f +40068,100%,Marshall Islands,2.0,f +5818,100%,,2.0,t +4794,100%,Marshall Islands,1.0,f +35100,100%,Lebanon,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +5886,94%,Fiji,25.0,t +23093,,,1.0,f +26453,,Estonia,1.0,f +24872,,Malta,2.0,f +19214,100%,Senegal,55.0,f +19214,100%,Senegal,55.0,f +49105,100%,Malta,3.0,f +32858,100%,Marshall Islands,12.0,f +50089,100%,Isle of Man,2.0,f +703,,Greenland,1.0,f +44857,100%,Zimbabwe,24.0,t +41359,100%,Micronesia,6.0,f +27192,100%,Maldives,1.0,f +20791,100%,Isle of Man,2.0,f +9043,100%,Gibraltar,3.0,f +25118,100%,Indonesia,4.0,f +33836,100%,Kenya,4.0,f +25414,90%,Gambia,2.0,f +1171,100%,Svalbard & Jan Mayen Islands,1.0,f +1508,90%,Gambia,3.0,f +29869,100%,Guinea,1.0,t +32002,50%,Niue,2.0,f +40792,100%,,1.0,f +17581,100%,Kenya,3.0,t +38684,70%,Uzbekistan,1.0,t +45260,94%,,19.0,f +42701,90%,Tanzania,4.0,t +17581,100%,Kenya,3.0,t +19726,100%,United Kingdom,2.0,t +1508,90%,Gambia,3.0,f +19214,100%,Senegal,55.0,f +44379,80%,El Salvador,8.0,t +7896,,El Salvador,1.0,f +4330,94%,Ukraine,60.0,t +4330,94%,Ukraine,60.0,t +40706,100%,,2.0,f +20153,96%,Reunion,51.0,f +20153,96%,Reunion,51.0,f +20153,96%,Reunion,51.0,f +20153,96%,Reunion,51.0,f +1375,100%,Micronesia,5.0,f +23410,100%,French Guiana,2.0,f +4919,,Turks and Caicos Islands,1.0,f +24665,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +8802,100%,Marshall Islands,2.0,f +46026,100%,,2.0,f +12927,100%,Russian Federation,1.0,t +41928,87%,Nicaragua,9.0,f +31277,,Cocos (Keeling) Islands,3.0,f +9,100%,Gambia,4.0,f +19427,90%,,1.0,f +39923,100%,Russian Federation,2.0,f +30969,100%,Niue,1.0,f +15328,100%,Marshall Islands,1.0,f +32203,100%,Barbados,176.0,f +31277,,Cocos (Keeling) Islands,3.0,f +37284,80%,,2.0,f +28828,100%,Isle of Man,198.0,t +36475,100%,Guernsey,4.0,t +12247,100%,Maldives,33.0,f +6116,100%,Monaco,8.0,f +9471,100%,,1.0,f +4534,,Malawi,1.0,t +12247,100%,Maldives,33.0,f +1885,100%,United Kingdom,1.0,f +28449,,Faroe Islands,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +30286,100%,Montserrat,39.0,f +2987,,Anguilla,1.0,f +25097,,Marshall Islands,1.0,f +8214,100%,,3.0,f +31777,80%,Monaco,1.0,t +25958,100%,Tonga,3.0,f +46611,94%,,7.0,f +25098,,Sao Tome and Principe,1.0,f +24634,100%,Guinea,20.0,t +6116,100%,Monaco,8.0,f +30080,88%,Pakistan,1.0,f +32969,100%,,1.0,f +35199,50%,,2.0,f +34105,,Montserrat,1.0,t +1882,98%,,3.0,f +1882,98%,,3.0,f +27041,50%,Russian Federation,1.0,f +21972,100%,Turks and Caicos Islands,1.0,f +34532,100%,Monaco,1.0,f +18829,100%,Indonesia,4.0,t +623,84%,,5.0,f +32203,100%,Barbados,176.0,f +4887,100%,Montserrat,1.0,t +451,70%,Cocos (Keeling) Islands,2.0,f +36379,100%,Svalbard & Jan Mayen Islands,1.0,f +15891,50%,,1.0,f +36244,100%,Congo,2.0,f +18072,99%,Montserrat,37.0,f +24651,,Kiribati,4.0,f +3852,,,1.0,f +5432,,Maldives,1.0,f +32038,100%,Indonesia,35.0,f +48793,100%,Russian Federation,1.0,f +14526,100%,Russian Federation,1.0,f +48696,,,1.0,f +4700,100%,Indonesia,1.0,t +47830,,United Kingdom,1.0,f +32858,100%,Marshall Islands,12.0,f +42704,100%,Lebanon,1.0,f +13854,100%,Portugal,1.0,f +24954,60%,Christmas Island,2.0,f +5846,,,1.0,f +40990,100%,Nicaragua,2.0,f +22051,,,1.0,t +28205,,Iraq,22.0,f +10326,90%,,1.0,t +27094,,,1.0,f +18699,100%,Kenya,2.0,f +43659,98%,Maldives,14.0,f +22171,,,1.0,f +15517,,,1.0,f +17221,,,1.0,t +28245,78%,,1.0,f +37049,100%,,1.0,f +33433,100%,Rwanda,9.0,f +18247,95%,Iran,80.0,t +41518,100%,Montserrat,13.0,t +31035,100%,Sao Tome and Principe,3.0,f +32002,50%,Niue,2.0,f +38270,100%,Maldives,6.0,f +573,100%,Zimbabwe,3.0,f +45909,,Russian Federation,1.0,f +18183,100%,Netherlands,5.0,t +10799,100%,Micronesia,1.0,f +36736,,,1.0,f +2105,100%,Tonga,1.0,f +28367,100%,Marshall Islands,1.0,f +32079,,Suriname,1.0,f +18426,100%,,2.0,t +25570,,Nauru,6.0,f +42539,,Faroe Islands,1.0,f +41549,,,1.0,f +47403,100%,Zimbabwe,2.0,f +36976,100%,Micronesia,1.0,t +31640,100%,,2.0,f +17502,80%,Netherlands,1.0,f +26554,,Rwanda,1.0,f +17353,,Nicaragua,1.0,f +14791,100%,Cocos (Keeling) Islands,3.0,t +10378,100%,Afghanistan,2.0,f +5088,90%,Niue,1.0,t +8152,100%,Peru,1.0,f +32819,100%,,1.0,f +9,100%,Gambia,4.0,f +33981,,,1.0,f +42051,100%,Nicaragua,11.0,t +34052,100%,Svalbard & Jan Mayen Islands,2.0,f +43855,100%,Isle of Man,1.0,t +42345,,Peru,1.0,f +11497,,Barbados,2.0,t +40364,100%,Tonga,25.0,f +6747,90%,Isle of Man,1.0,f +23920,,,2.0,f +19214,100%,Senegal,55.0,f +10181,100%,Micronesia,1.0,t +29434,,,2.0,f +19214,100%,Senegal,55.0,f +32925,,Bouvet Island (Bouvetoya),1.0,f +45203,100%,Cuba,2.0,t +47186,100%,Faroe Islands,2.0,f +45203,100%,Cuba,2.0,t +47825,,El Salvador,1.0,f +47186,100%,Faroe Islands,2.0,f +20081,95%,Senegal,2.0,f +23119,,Faroe Islands,2.0,t +28205,,Iraq,22.0,f +30853,100%,Sao Tome and Principe,2.0,f +29441,0%,Senegal,1.0,t +32101,100%,,1.0,f +5725,100%,Sao Tome and Principe,2.0,f +10953,,,1.0,f +3650,100%,Zimbabwe,1.0,t +33910,100%,Rwanda,8.0,t +31193,,Uganda,3.0,t +5725,100%,Sao Tome and Principe,2.0,f +31632,,Tonga,2.0,f +10652,100%,,1.0,f +2294,100%,,1.0,t +35840,,France,2.0,t +49506,100%,,2.0,f +41831,100%,Rwanda,1.0,f +25655,100%,Ukraine,2.0,f +18744,100%,Marshall Islands,1.0,f +8634,,,1.0,f +30059,100%,Uzbekistan,1.0,f +45485,100%,Maldives,1.0,f +4879,,,1.0,f +19967,100%,,1.0,f +13787,100%,Fiji,1.0,f +28553,100%,Greenland,3.0,f +11648,50%,Gibraltar,1.0,f +37222,,,1.0,f +19959,100%,,1.0,f +3609,100%,Jersey,1.0,f +32360,100%,Niue,1.0,t +11645,100%,,1.0,f +17051,100%,Micronesia,1.0,f +33910,100%,Rwanda,8.0,t +6601,0%,Marshall Islands,1.0,f +22127,100%,United Kingdom,1.0,f +35972,100%,,3.0,f +27205,100%,Congo,1.0,t +28703,100%,Uzbekistan,2.0,f +46397,,,1.0,f +33910,100%,Rwanda,8.0,t +34224,100%,,1.0,f +26375,100%,Afghanistan,5.0,t +39880,100%,,1.0,f +33910,100%,Rwanda,8.0,t +33910,100%,Rwanda,8.0,t +26835,,,1.0,t +33910,100%,Rwanda,8.0,t +30756,100%,Uganda,3.0,t +32423,90%,Turks and Caicos Islands,2.0,t +18183,100%,Netherlands,5.0,t +38958,,,1.0,f +6181,100%,Zimbabwe,4.0,f +10095,70%,Costa Rica,1.0,f +37582,100%,Cook Islands,3.0,f +49272,,,1.0,t +24020,77%,Tonga,6.0,t +25118,100%,Indonesia,4.0,f +40525,83%,,1.0,f +23861,100%,Somalia,1.0,f +19935,100%,,1.0,f +32326,80%,Svalbard & Jan Mayen Islands,1.0,f +44986,100%,,1.0,f +21151,100%,Portugal,5.0,f +49881,95%,,4.0,f +48791,97%,Uzbekistan,5.0,t +49881,95%,,4.0,f +37646,100%,Estonia,60.0,f +18774,100%,Uzbekistan,4.0,f +49881,95%,,4.0,f +20527,100%,,1.0,f +25147,99%,Niger,48.0,f +49902,50%,,3.0,f +15695,100%,Malawi,2.0,t +41746,100%,Mauritania,1.0,f +49902,50%,,3.0,f +37639,100%,Nauru,11.0,f +49793,100%,France,1.0,t +28303,100%,Isle of Man,1.0,t +25053,25%,Uzbekistan,1.0,t +48748,,Micronesia,1.0,t +32288,100%,Rwanda,1.0,f +30216,98%,Maldives,34.0,f +43699,,Chad,1.0,t +38483,100%,Gambia,1.0,f +17815,80%,Ghana,3.0,f +45584,0%,Kenya,2.0,t +24893,100%,Rwanda,9.0,f +9019,100%,Greenland,2.0,f +222,89%,,16.0,f +30216,98%,Maldives,34.0,f +23854,,Uzbekistan,15.0,f +14514,,China,80.0,t +21908,100%,Niue,49.0,f +48914,100%,French Guiana,1.0,t +5003,100%,Jersey,8.0,f +23854,,Uzbekistan,15.0,f +4722,96%,Guinea,13.0,t +23854,,Uzbekistan,15.0,f +30216,98%,Maldives,34.0,f +9593,100%,,1.0,f +37639,100%,Nauru,11.0,f +30216,98%,Maldives,34.0,f +3982,100%,,3.0,f +25376,100%,,3.0,f +48954,100%,Montserrat,8.0,t +49415,,,1.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +48244,100%,Kiribati,1.0,t +41693,100%,Nicaragua,2.0,f +31057,100%,France,2.0,t +43693,100%,Russian Federation,1.0,f +45383,,Monaco,1.0,f +7733,0%,Sao Tome and Principe,1.0,f +13856,60%,Afghanistan,2.0,f +13,,United Kingdom,1.0,f +19652,,,1.0,f +32011,,Sao Tome and Principe,1.0,f +42214,100%,,1.0,f +16491,,Brazil,1.0,f +28684,100%,Mauritania,1.0,f +3682,100%,Nicaragua,1.0,f +42011,100%,Micronesia,3.0,f +28929,,Faroe Islands,1.0,t +24867,90%,Bosnia and Herzegovina,5.0,f +37574,100%,Zimbabwe,2.0,t +35812,,China,2.0,f +43913,67%,Nicaragua,1.0,f +48425,100%,,3.0,f +12848,100%,Denmark,2.0,f +12848,100%,Denmark,2.0,f +30302,,Chad,1.0,f +15452,90%,Niue,2.0,f +44444,100%,,1.0,t +39421,,,1.0,f +36605,,Sao Tome and Principe,4.0,t +4681,,Bouvet Island (Bouvetoya),1.0,f +17876,100%,Guinea,3.0,f +43237,40%,Montserrat,24.0,f +3183,100%,Svalbard & Jan Mayen Islands,1.0,f +24692,100%,Sao Tome and Principe,1.0,f +23747,100%,Niger,4.0,t +6564,,Uganda,9.0,f +45450,90%,,1.0,f +42837,100%,Turkmenistan,2.0,t +31594,100%,Philippines,19.0,t +19292,100%,Niue,1.0,f +44921,,Wallis and Futuna,3.0,t +33933,100%,Papua New Guinea,3.0,f +42144,,,1.0,f +37646,100%,Estonia,60.0,f +3770,100%,Svalbard & Jan Mayen Islands,1.0,t +48409,,Estonia,60.0,t +29081,98%,Uzbekistan,18.0,f +40698,100%,Micronesia,3.0,f +18034,59%,Svalbard & Jan Mayen Islands,4.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +30362,,Estonia,1.0,f +10964,100%,Tonga,5.0,t +30793,88%,Sao Tome and Principe,1.0,f +17789,94%,Reunion,6.0,f +38701,40%,Niger,27.0,f +49899,0%,Costa Rica,1.0,f +9404,100%,Papua New Guinea,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +30286,100%,Montserrat,39.0,f +28773,100%,,1.0,f +32203,100%,Barbados,176.0,f +20795,,,4.0,f +20795,,,4.0,f +20795,,,4.0,f +20795,,,4.0,f +25174,,Bosnia and Herzegovina,1.0,f +48178,17%,Estonia,5.0,t +47949,100%,,1.0,t +8091,97%,Cuba,10.0,f +27996,83%,Chad,1.0,t +12259,,Vanuatu,1.0,f +44767,100%,,9.0,f +44767,100%,,9.0,f +44767,100%,,9.0,f +40303,100%,Guinea,82.0,f +17218,,Nauru,2.0,f +44767,100%,,9.0,f +32671,,,1.0,f +25230,98%,,3.0,f +6116,100%,Monaco,8.0,f +7633,100%,,2.0,f +10353,,Micronesia,1.0,t +41014,100%,Netherlands,3.0,f +4987,90%,Russian Federation,1.0,f +5978,100%,Zimbabwe,3.0,t +44767,100%,,9.0,f +25230,98%,,3.0,f +24565,100%,Anguilla,4.0,f +42313,,Bosnia and Herzegovina,2.0,f +5205,,Slovakia (Slovak Republic),6.0,t +18876,60%,Netherlands,26.0,f +43659,98%,Maldives,14.0,f +26652,97%,Pakistan,6.0,f +11845,100%,Niue,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +9360,90%,,1.0,f +28255,75%,Somalia,1.0,f +10550,33%,,1.0,f +44767,100%,,9.0,f +18077,100%,Sao Tome and Principe,139.0,f +34373,100%,Turkmenistan,1.0,t +44767,100%,,9.0,f +44767,100%,,9.0,f +44767,100%,,9.0,f +35250,100%,Togo,1.0,f +37473,,Zimbabwe,1.0,f +40303,100%,Guinea,82.0,f +19991,,China,1.0,f +31422,,Anguilla,1.0,f +25230,98%,,3.0,f +35439,94%,United Kingdom,23.0,t +24417,100%,,2.0,f +24417,100%,,2.0,f +40364,100%,Tonga,25.0,f +8956,100%,Kiribati,1.0,f +44107,100%,,1.0,t +45794,100%,Anguilla,1.0,f +20227,,Niue,1.0,f +13202,87%,Uganda,3.0,f +5852,90%,Sao Tome and Principe,1.0,t +23091,78%,,1.0,f +42051,100%,Nicaragua,11.0,t +11335,100%,Montserrat,3.0,t +8955,100%,China,1.0,f +18004,100%,Sao Tome and Principe,1.0,f +11672,100%,Kiribati,6.0,t +42358,100%,Svalbard & Jan Mayen Islands,3.0,f +5215,,Cocos (Keeling) Islands,1.0,f +32192,100%,,1.0,t +23077,,,1.0,f +9537,100%,Nicaragua,1.0,f +7022,92%,Turks and Caicos Islands,2.0,f +12449,100%,,2.0,f +11627,50%,Niue,1.0,f +22262,100%,,1.0,f +36445,100%,United Kingdom,7.0,f +10302,,,1.0,f +34843,100%,Senegal,1.0,f +38019,100%,Afghanistan,10.0,f +9979,,Chad,1.0,f +8311,90%,Guernsey,1.0,f +30181,100%,Lebanon,2.0,f +30286,100%,Montserrat,39.0,f +47384,100%,Vanuatu,2.0,f +6662,,,2.0,t +32182,,Costa Rica,1.0,f +4071,100%,Tunisia,1.0,f +48001,100%,,1.0,f +9779,100%,Ecuador,1.0,f +44507,83%,,1.0,f +16520,100%,Marshall Islands,22.0,f +12117,100%,Monaco,1.0,f +48626,,Turks and Caicos Islands,3.0,f +37787,100%,Barbados,5.0,f +39527,100%,Vanuatu,2.0,f +39938,,Lebanon,1.0,f +19061,100%,Isle of Man,2.0,t +32038,100%,Indonesia,35.0,f +30747,100%,Costa Rica,2.0,f +37627,,Kenya,1.0,f +30286,100%,Montserrat,39.0,f +26955,100%,Uzbekistan,1.0,f +23622,,,1.0,f +29123,100%,Zimbabwe,16.0,t +20754,,China,13.0,f +19051,,Malta,1.0,f +45615,100%,Fiji,2.0,f +9426,,French Guiana,1.0,t +49999,80%,Russian Federation,5.0,t +29647,100%,Peru,1305.0,f +47770,100%,Jersey,2.0,f +48626,,Turks and Caicos Islands,3.0,f +18738,95%,,2.0,t +38136,,Chad,4.0,f +30747,100%,Costa Rica,2.0,f +13364,91%,Netherlands,21.0,f +36050,,Bouvet Island (Bouvetoya),1.0,t +19794,90%,Djibouti,1.0,f +46199,80%,Somalia,3.0,f +48626,,Turks and Caicos Islands,3.0,f +30286,100%,Montserrat,39.0,f +36314,100%,,1.0,f +6116,100%,Monaco,8.0,f +13364,91%,Netherlands,21.0,f +50097,90%,,1.0,f +1721,100%,Ecuador,5.0,f +40364,100%,Tonga,25.0,f +30286,100%,Montserrat,39.0,f +19543,,Bosnia and Herzegovina,5.0,f +45064,98%,Anguilla,15.0,f +49526,100%,Gambia,4.0,f +34947,,,1.0,f +40364,100%,Tonga,25.0,f +9183,100%,,3.0,f +29647,100%,Peru,1305.0,f +40141,100%,Maldives,3.0,t +4130,,Maldives,7.0,f +43800,100%,Maldives,5.0,t +22078,,Indonesia,20.0,f +4392,100%,,1.0,t +993,100%,Gambia,1.0,f +7517,100%,,2.0,f +31980,,,1.0,f +49420,100%,Indonesia,2.0,f +7517,100%,,2.0,f +6564,,Uganda,9.0,f +32183,100%,,1.0,f +9363,95%,Ukraine,50.0,f +23386,50%,,3.0,f +8102,100%,Togo,2.0,t +5875,100%,,2.0,f +8450,50%,United Kingdom,1.0,f +41359,100%,Micronesia,6.0,f +34718,,,1.0,f +26477,100%,,1.0,f +5185,0%,Gambia,12.0,f +5185,0%,Gambia,12.0,f +5185,0%,Gambia,12.0,f +5185,0%,Gambia,12.0,f +20153,96%,Reunion,51.0,f +20153,96%,Reunion,51.0,f +47138,100%,,1.0,t +33873,100%,Turks and Caicos Islands,8.0,t +16080,,Guinea,1.0,f +12812,99%,Croatia,32.0,f +32203,100%,Barbados,176.0,f +32203,100%,Barbados,176.0,f +39378,100%,Brazil,1.0,f +28837,100%,Wallis and Futuna,3.0,f +32203,100%,Barbados,176.0,f +41630,100%,Kiribati,24.0,f +37120,100%,Sao Tome and Principe,1.0,f +41174,100%,Isle of Man,1.0,f +44738,,Kenya,1.0,t +13553,93%,Vietnam,5.0,f +43811,,Reunion,7.0,f +48117,98%,Ukraine,41.0,f +22594,100%,Rwanda,12.0,f +22594,100%,Rwanda,12.0,f +32203,100%,Barbados,176.0,f +37714,100%,Zimbabwe,3.0,f +2269,50%,Svalbard & Jan Mayen Islands,1.0,f +15693,100%,Vietnam,6.0,f +48117,98%,Ukraine,41.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +24224,100%,Vietnam,1.0,f +49504,100%,Guinea,2.0,f +18963,,Anguilla,1.0,f +20334,99%,Niger,171.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +43811,,Reunion,7.0,f +48038,,Bouvet Island (Bouvetoya),2.0,f +32203,100%,Barbados,176.0,f +5420,100%,Tonga,41.0,f +43811,,Reunion,7.0,f +2872,89%,Maldives,2.0,f +43811,,Reunion,7.0,f +5230,100%,Brazil,3.0,f +43811,,Reunion,7.0,f +43811,,Reunion,7.0,f +7073,67%,Niue,2.0,t +2082,100%,Turkmenistan,2.0,f +43811,,Reunion,7.0,f +17003,100%,Brazil,1.0,f +11442,90%,Maldives,5.0,f +49682,90%,,1.0,t +34093,60%,,1.0,f +27970,100%,Niue,2.0,t +22594,100%,Rwanda,12.0,f +5420,100%,Tonga,41.0,f +42862,100%,,1.0,f +38502,90%,,2.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +12624,,,10.0,f +12624,,,10.0,f +46510,100%,,1.0,f +41117,,Chad,2.0,t +12624,,,10.0,f +12624,,,10.0,f +12624,,,10.0,f +12624,,,10.0,f +12624,,,10.0,f +12624,,,10.0,f +12624,,,10.0,f +12624,,,10.0,f +14582,100%,Congo,1.0,t +12269,,Sao Tome and Principe,1.0,f +8243,100%,Pakistan,2.0,f +3069,100%,Denmark,1.0,f +44927,100%,Jersey,1.0,f +4446,100%,Uganda,58.0,f +27331,,,1.0,f +45199,,Puerto Rico,6.0,f +8761,,Niue,1.0,f +48796,100%,Brazil,3.0,t +42048,80%,Turkmenistan,1.0,t +33418,,,1.0,f +917,100%,Kiribati,2.0,f +4387,,Burundi,4.0,f +1735,100%,,2.0,f +34759,,United Kingdom,1.0,f +30748,,Guinea,5.0,f +40421,96%,Jersey,29.0,t +32858,100%,Marshall Islands,12.0,f +45749,,Niue,1.0,f +39158,100%,,3.0,t +26370,100%,,4.0,t +10915,75%,Svalbard & Jan Mayen Islands,1.0,f +20958,100%,,1.0,f +29951,90%,Russian Federation,2.0,f +21546,100%,Uzbekistan,1.0,f +44659,100%,Pakistan,1.0,f +43002,100%,Gambia,1.0,f +34177,100%,France,1.0,f +44441,100%,United Kingdom,1.0,t +44501,80%,Zimbabwe,1.0,f +28519,,French Guiana,1.0,f +42111,100%,Russian Federation,1.0,f +14032,,,9.0,f +24568,100%,Brazil,1.0,f +29381,,,1.0,t +39329,,Montserrat,2.0,t +7302,100%,Denmark,2.0,t +5185,0%,Gambia,12.0,f +2289,,Tanzania,2.0,f +6202,,Uganda,1.0,f +31463,90%,Croatia,1.0,f +541,93%,Marshall Islands,17.0,f +47274,100%,Tonga,48.0,f +18730,,,1.0,t +17423,90%,,2.0,f +7908,100%,Anguilla,1.0,f +18784,100%,Ukraine,2.0,t +24896,100%,Algeria,50.0,t +35807,100%,Sao Tome and Principe,2.0,f +14899,100%,Zimbabwe,3.0,t +10374,100%,,1.0,f +4327,100%,Russian Federation,2.0,f +15022,100%,Palestinian Territory,1.0,f +26858,,,1.0,f +16381,,Russian Federation,1.0,f +48714,,Montserrat,1.0,f +35123,100%,Chile,1.0,f +19128,100%,Uzbekistan,12.0,t +14514,,China,80.0,t +32203,100%,Barbados,176.0,f +25619,100%,,1.0,f +23138,100%,Mauritania,1.0,f +30286,100%,Montserrat,39.0,f +45598,83%,China,17.0,f +5889,100%,Isle of Man,1.0,f +1558,100%,,10.0,f +33061,67%,Pakistan,1.0,f +30286,100%,Montserrat,39.0,f +44637,,El Salvador,1.0,t +26242,100%,Tanzania,1.0,f +7487,80%,Croatia,1.0,f +8220,100%,Anguilla,1.0,f +29763,,Nicaragua,1.0,f +19477,100%,Marshall Islands,1.0,f +24399,100%,,1.0,f +14514,,China,80.0,t +32124,,Denmark,1.0,f +14329,100%,Micronesia,1.0,f +15201,67%,Kiribati,1.0,f +23768,67%,United Kingdom,1.0,f +35627,,,2.0,f +2281,,Marshall Islands,1.0,f +34449,100%,Sao Tome and Principe,2.0,f +38937,100%,Tanzania,2.0,t +1690,50%,Uganda,2.0,f +5185,0%,Gambia,12.0,f +9278,100%,Netherlands,10.0,f +29619,100%,,1.0,f +34243,95%,Uzbekistan,1.0,f +49891,90%,Estonia,1.0,f +32910,,Senegal,1.0,f +40783,100%,United Kingdom,1.0,f +12449,100%,,2.0,f +23334,100%,Estonia,1.0,f +41520,100%,France,1.0,f +13160,100%,Cape Verde,5.0,t +36227,100%,Malta,2.0,f +10711,93%,Uganda,108.0,t +27628,100%,Estonia,1.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +6041,100%,Maldives,3.0,f +45064,98%,Anguilla,15.0,f +6696,,Gambia,1.0,f +37741,100%,Denmark,1.0,f +41017,100%,,1.0,f +27073,,United Kingdom,3.0,t +31106,,Greenland,1.0,f +27073,,United Kingdom,3.0,t +36073,100%,,12.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +27928,100%,,4.0,f +27500,100%,Niue,2.0,f +22953,100%,,3.0,f +5795,,Nauru,1.0,f +29081,98%,Uzbekistan,18.0,f +40375,100%,,10.0,t +47594,100%,Kenya,17.0,t +17263,,Niue,1.0,f +41762,100%,Russian Federation,1.0,f +19757,100%,Niger,3.0,f +41651,100%,Russian Federation,1.0,t +12114,100%,,2.0,t +45856,,Malawi,1.0,t +38937,100%,Tanzania,2.0,t +29265,95%,Lithuania,3.0,f +4330,94%,Ukraine,60.0,t +42624,,,1.0,f +7604,,Netherlands,1.0,t +33408,100%,Tonga,6.0,f +11306,100%,Togo,2.0,f +24916,100%,,1.0,f +31582,,Tonga,1.0,t +15505,100%,,1.0,f +16292,83%,Reunion,1.0,f +16183,,Isle of Man,1.0,f +8243,100%,Pakistan,2.0,f +3825,,,1.0,f +3259,,Kenya,1.0,f +15078,,Vietnam,8.0,f +33630,100%,,1.0,t +25333,,Guernsey,1.0,f +32828,,,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +45149,100%,Chad,3.0,t +24594,100%,Rwanda,14.0,f +29919,100%,,1.0,f +6272,100%,Uzbekistan,1.0,t +7778,100%,Mauritania,7.0,t +24594,100%,Rwanda,14.0,f +28244,80%,,4.0,f +14047,100%,Philippines,4.0,f +34757,,Guinea,1.0,f +7458,100%,,2.0,f +39164,100%,Cocos (Keeling) Islands,3.0,f +49570,,Denmark,6.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +36073,100%,,12.0,f +40484,100%,,1.0,t +36073,100%,,12.0,f +50082,,,1.0,t +22507,,,1.0,f +297,100%,,1.0,f +2081,97%,Niue,2.0,f +42138,,Denmark,2.0,f +45162,,Maldives,20.0,f +31906,100%,,2.0,f +44303,,,1.0,t +48188,100%,,1.0,f +2245,100%,Russian Federation,1.0,f +666,,Anguilla,1.0,f +40664,100%,Cocos (Keeling) Islands,1.0,f +14736,0%,,1.0,f +6808,100%,Anguilla,2.0,t +38752,100%,Jersey,1.0,t +27001,,Guernsey,1.0,f +15727,71%,Grenada,1.0,f +35730,100%,,1.0,f +7142,,Kiribati,5.0,f +48786,90%,Pakistan,1.0,f +7142,,Kiribati,5.0,f +31974,,,1.0,f +7142,,Kiribati,5.0,f +7142,,Kiribati,5.0,f +31848,,Libyan Arab Jamahiriya,1.0,t +11589,100%,Djibouti,1.0,f +6026,100%,Rwanda,1.0,t +40140,90%,Marshall Islands,3.0,f +29578,100%,Chile,2.0,f +34527,75%,Afghanistan,1.0,f +7142,,Kiribati,5.0,f +29365,100%,Venezuela,2.0,t +40620,100%,Guinea,2.0,f +47128,,Portugal,1.0,f +9226,,Mauritania,5.0,f +14935,100%,Uzbekistan,2.0,t +2562,100%,Micronesia,2.0,f +48557,,,1.0,f +45306,89%,Rwanda,7.0,t +30849,,,2.0,f +14935,100%,Uzbekistan,2.0,t +16107,100%,Brazil,1.0,t +11500,100%,Russian Federation,1.0,f +139,100%,,1.0,f +26928,100%,,4.0,f +7634,100%,Nicaragua,2.0,f +26013,100%,Uzbekistan,4.0,f +6782,100%,Uganda,5.0,f +31827,100%,Croatia,2.0,t +45162,,Maldives,20.0,f +34122,0%,,1.0,f +12999,100%,Micronesia,1.0,f +47598,100%,,1.0,t +3524,100%,Ghana,5.0,f +11632,100%,,1.0,f +2988,100%,Russian Federation,2.0,f +49083,100%,,1.0,f +38317,100%,Isle of Man,2.0,f +26013,100%,Uzbekistan,4.0,f +48410,,,1.0,f +929,100%,,1.0,t +47201,,Libyan Arab Jamahiriya,1.0,f +15671,100%,,1.0,f +22566,100%,,1.0,f +31814,100%,Mauritania,1.0,t +34359,,Indonesia,1.0,f +17883,100%,,1.0,f +43983,,Turkmenistan,2.0,f +23980,,Isle of Man,1.0,f +871,75%,,3.0,f +12296,,Afghanistan,1.0,f +49370,90%,Niue,1.0,t +18876,60%,Netherlands,26.0,f +4771,,,1.0,f +20253,,,1.0,f +7476,100%,,1.0,f +27409,100%,Estonia,1.0,f +49565,92%,Uganda,14.0,f +24975,0%,,1.0,f +10689,100%,Isle of Man,1.0,t +10809,100%,Bosnia and Herzegovina,4.0,f +28450,100%,Malawi,1.0,f +23238,100%,Reunion,2.0,t +8078,63%,Bosnia and Herzegovina,1.0,f +18074,100%,,1.0,f +17713,100%,Niue,1.0,t +14332,100%,,1.0,f +3790,100%,Netherlands,16.0,f +49565,92%,Uganda,14.0,f +14455,100%,,2.0,f +29720,,Isle of Man,1.0,f +38578,90%,Kenya,1.0,f +30400,90%,Vietnam,1.0,t +5420,100%,Tonga,41.0,f +16271,100%,Isle of Man,3.0,t +12735,,,1.0,f +18484,100%,Gambia,108.0,f +38151,,Isle of Man,1.0,f +49987,100%,,19.0,f +34149,,Micronesia,1.0,f +30796,100%,Uzbekistan,1.0,t +22820,,Zimbabwe,1.0,f +28488,100%,Zimbabwe,1.0,f +29647,100%,Peru,1305.0,f +49999,80%,Russian Federation,5.0,t +24252,80%,Tonga,2.0,f +6041,100%,Maldives,3.0,f +7894,100%,Ukraine,10.0,f +14840,100%,Suriname,1.0,t +49565,92%,Uganda,14.0,f +45037,,Guinea,1.0,f +15900,100%,Turks and Caicos Islands,2.0,f +30739,,Netherlands,1.0,f +45598,83%,China,17.0,f +35006,75%,Marshall Islands,1.0,t +6041,100%,Maldives,3.0,f +42138,,Denmark,2.0,f +2793,,El Salvador,1.0,f +41856,100%,Maldives,13.0,t +49451,70%,Micronesia,1.0,t +4011,100%,French Guiana,3.0,f +16471,,,3.0,f +6472,100%,Guinea,2.0,f +50021,100%,France,1.0,f +25831,100%,Uzbekistan,1.0,f +49679,100%,Guernsey,1.0,t +8881,,Guinea,1.0,f +41910,100%,Slovakia (Slovak Republic),5.0,f +37595,90%,Lithuania,4.0,f +12552,100%,Niger,1.0,f +39332,100%,Niue,2.0,f +5205,,Slovakia (Slovak Republic),6.0,t +5103,100%,,1.0,f +32038,100%,Indonesia,35.0,f +11787,,Peru,1.0,f +9345,100%,Bosnia and Herzegovina,4.0,f +38076,,Isle of Man,1.0,t +12693,100%,Russian Federation,1.0,f +24993,67%,Canada,4.0,f +32949,67%,Bahrain,1.0,f +48980,100%,Mauritania,2.0,f +10478,100%,,1.0,f +22489,,Kiribati,1.0,f +26475,88%,Monaco,1.0,f +28414,100%,Uzbekistan,22.0,f +49028,100%,Svalbard & Jan Mayen Islands,1.0,f +4920,98%,Estonia,8.0,f +5933,,Micronesia,2.0,f +42267,100%,,1.0,f +45965,100%,Estonia,8.0,f +27880,100%,,1.0,t +6033,100%,El Salvador,3.0,f +10690,,,1.0,f +667,100%,Croatia,4.0,t +41723,89%,Ecuador,1.0,t +25067,100%,Svalbard & Jan Mayen Islands,1.0,f +16620,100%,Puerto Rico,3.0,f +19682,100%,Faroe Islands,15.0,t +48991,76%,Bosnia and Herzegovina,7.0,t +44620,100%,Puerto Rico,1.0,f +7712,100%,Estonia,1.0,f +9860,,Tonga,1.0,t +2836,100%,French Guiana,1.0,t +17412,,Chile,2.0,f +30819,,Guinea,1.0,t +44778,100%,,2.0,f +8561,81%,Guinea,1.0,f +10810,67%,Nauru,1.0,t +21421,80%,,1.0,f +3305,100%,,1.0,f +25543,89%,Zimbabwe,1.0,t +14841,,Bouvet Island (Bouvetoya),1.0,t +46519,100%,Russian Federation,1.0,f +32858,100%,Marshall Islands,12.0,f +1207,100%,Nicaragua,7.0,f +29647,100%,Peru,1305.0,f +14952,,Afghanistan,1.0,f +45052,,France,1.0,t +17036,81%,Reunion,6.0,f +2894,100%,,1.0,f +8605,90%,Estonia,4.0,t +49570,,Denmark,6.0,f +36445,100%,United Kingdom,7.0,f +41454,100%,Turks and Caicos Islands,3.0,f +45700,100%,,2.0,t +20596,83%,Sao Tome and Principe,2.0,t +48698,90%,Vietnam,3.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +48698,90%,Vietnam,3.0,f +35425,100%,Uganda,2.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +48698,90%,Vietnam,3.0,f +18243,,,2.0,f +46754,,Montserrat,1.0,f +356,99%,Wallis and Futuna,32.0,t +15843,100%,Slovakia (Slovak Republic),18.0,f +32678,90%,Isle of Man,1.0,f +10397,100%,Guernsey,3.0,f +28995,100%,,1.0,f +6660,100%,Guinea,2.0,t +46135,,Micronesia,1.0,f +43316,100%,Indonesia,23.0,f +26675,100%,,3.0,f +35221,100%,Turks and Caicos Islands,30.0,t +17061,100%,Niue,2.0,f +48685,100%,Russian Federation,5.0,f +33431,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +39467,100%,Nicaragua,4.0,t +49811,100%,,2.0,f +28828,100%,Isle of Man,198.0,t +1449,,Vanuatu,1.0,f +18484,100%,Gambia,108.0,f +7639,,Tonga,5.0,f +7107,100%,Suriname,4.0,t +37486,100%,Russian Federation,1.0,f +37292,100%,,3.0,f +21028,100%,Tonga,1.0,f +29466,100%,,1.0,f +25832,100%,United Kingdom,1.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +10711,93%,Uganda,108.0,t +29123,100%,Zimbabwe,16.0,t +584,,,1.0,f +39252,,Kiribati,1.0,f +44272,,Cape Verde,1.0,t +6402,50%,Bosnia and Herzegovina,2.0,t +25736,,Jersey,1.0,f +9852,100%,Maldives,11.0,f +1677,,,1.0,f +48685,100%,Russian Federation,5.0,f +49444,,,1.0,f +34995,,Kenya,1.0,f +31326,100%,Tonga,1.0,f +3354,100%,,1.0,f +20334,99%,Niger,171.0,t +6480,100%,Andorra,2.0,f +36899,75%,Saint Helena,2.0,t +12646,,,1.0,f +15922,100%,Svalbard & Jan Mayen Islands,2.0,t +19602,100%,Lithuania,24.0,f +12260,,China,1.0,f +9852,100%,Maldives,11.0,f +16066,,,1.0,f +19061,100%,Isle of Man,2.0,t +9852,100%,Maldives,11.0,f +36445,100%,United Kingdom,7.0,f +9852,100%,Maldives,11.0,f +13496,,,1.0,f +49072,100%,Venezuela,1.0,f +20940,100%,,2.0,t +15922,100%,Svalbard & Jan Mayen Islands,2.0,t +46590,100%,Nicaragua,2.0,f +35729,100%,Brazil,1.0,f +28386,50%,,1.0,f +42869,,El Salvador,9.0,f +31414,,Nauru,1.0,t +27216,,,1.0,f +36731,100%,Nicaragua,7.0,f +12510,,,1.0,f +11468,100%,,1.0,f +17864,,French Polynesia,1.0,f +9997,100%,,1.0,t +3756,,,1.0,t +4490,100%,Puerto Rico,1.0,f +42666,100%,,2.0,t +16786,100%,El Salvador,2.0,f +13212,100%,Zimbabwe,12.0,t +27372,100%,,1.0,t +20561,,,1.0,f +44537,100%,Tonga,7.0,f +28508,100%,,1.0,t +35334,100%,,1.0,t +16786,100%,El Salvador,2.0,f +20974,100%,Anguilla,3.0,f +13055,100%,,1.0,f +44897,100%,,1.0,f +42003,,,5.0,f +20940,100%,,2.0,t +42011,100%,Micronesia,3.0,f +18076,100%,Afghanistan,2.0,f +28123,100%,Gambia,1.0,f +46918,100%,Sao Tome and Principe,5.0,f +40993,100%,Montserrat,15.0,f +35221,100%,Turks and Caicos Islands,30.0,t +2845,,Kiribati,9.0,f +27597,100%,Portugal,7.0,t +45699,100%,Denmark,2.0,f +27107,0%,,1.0,t +45596,100%,,4.0,t +15229,100%,,1.0,f +4433,,Sao Tome and Principe,1.0,t +46138,78%,Niger,1.0,f +10870,100%,,1.0,t +18484,100%,Gambia,108.0,f +42281,100%,Marshall Islands,39.0,f +42281,100%,Marshall Islands,39.0,f +3961,100%,Fiji,8.0,f +29139,100%,Maldives,1.0,f +43688,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +32935,,Ghana,40.0,f +20334,99%,Niger,171.0,t +5564,33%,,1.0,t +47921,,Vanuatu,1.0,f +5898,100%,,2.0,f +45382,90%,,1.0,f +33637,100%,Russian Federation,2.0,f +16450,100%,Malta,1.0,t +20793,100%,Micronesia,1.0,f +7771,100%,,1.0,f +28148,,,1.0,t +32935,,Ghana,40.0,f +34591,86%,Denmark,4.0,f +36274,33%,Isle of Man,1.0,f +34591,86%,Denmark,4.0,f +4863,,,2.0,t +19863,100%,,1.0,f +26445,90%,Togo,2.0,f +35244,100%,,1.0,f +46669,86%,Brazil,11.0,f +10686,86%,Tonga,21.0,f +10140,100%,,1.0,f +45572,100%,,1.0,f +19474,,Christmas Island,1.0,f +5179,,,12.0,f +4217,,Kenya,52.0,f +6127,60%,,1.0,f +344,100%,Brazil,3.0,t +41794,,Puerto Rico,1.0,t +8327,97%,Guernsey,1.0,f +16236,,Kenya,2.0,f +32935,,Ghana,40.0,f +22497,96%,Isle of Man,8.0,t +2743,97%,China,23.0,f +10686,86%,Tonga,21.0,f +18876,60%,Netherlands,26.0,f +34814,100%,Svalbard & Jan Mayen Islands,1.0,f +31202,90%,Kiribati,107.0,f +44931,,Cuba,1.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +32935,,Ghana,40.0,f +29647,100%,Peru,1305.0,f +26628,80%,Maldives,3.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +27774,78%,Vietnam,15.0,f +13132,100%,Brazil,1.0,f +32525,,,1.0,f +47737,,Sao Tome and Principe,2.0,f +43521,,Lithuania,1.0,f +24195,56%,Barbados,14.0,f +49542,100%,Turkmenistan,2.0,f +19939,63%,,2.0,f +15059,90%,Bouvet Island (Bouvetoya),1.0,f +12675,100%,Brazil,2.0,t +18946,100%,Reunion,1.0,f +14275,,Bouvet Island (Bouvetoya),1.0,t +35630,50%,,1.0,t +8822,25%,Chad,1.0,f +14565,80%,Isle of Man,1.0,f +27862,,,2.0,t +45779,100%,Portugal,1.0,f +9298,100%,Pakistan,15.0,f +4214,100%,Niue,3.0,t +8643,,Cocos (Keeling) Islands,1.0,f +25890,100%,,3.0,f +23681,100%,Saint Helena,4.0,t +5572,90%,,1.0,f +20165,94%,Ukraine,30.0,f +19284,,Vietnam,1.0,f +49141,100%,Jersey,1.0,f +45162,,Maldives,20.0,f +27804,100%,El Salvador,2.0,t +35221,100%,Turks and Caicos Islands,30.0,t +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +36294,100%,,1.0,f +9298,100%,Pakistan,15.0,f +38127,90%,,2.0,f +2071,0%,Anguilla,2.0,f +5429,100%,,2.0,t +45162,,Maldives,20.0,f +16935,0%,Anguilla,2.0,f +9077,,,1.0,f +36253,100%,Nauru,21.0,t +25350,100%,,2.0,f +42869,,El Salvador,9.0,f +34993,100%,Afghanistan,3.0,f +26565,90%,,1.0,f +5480,,Afghanistan,1.0,f +23938,100%,Guernsey,1.0,f +6132,100%,Marshall Islands,2.0,f +45700,100%,,2.0,t +34858,,Rwanda,1.0,f +47506,100%,,1.0,f +43662,,Guinea,1.0,f +29631,100%,Ecuador,1.0,f +31707,100%,Niger,48.0,f +34358,50%,Marshall Islands,2.0,f +32858,100%,Marshall Islands,12.0,f +37574,100%,Zimbabwe,2.0,t +9630,100%,,13.0,f +36499,75%,Anguilla,25.0,t +40032,100%,El Salvador,16.0,f +34306,91%,Wallis and Futuna,30.0,t +40032,100%,El Salvador,16.0,f +26674,77%,Uzbekistan,27.0,f +32935,,Ghana,40.0,f +6116,100%,Monaco,8.0,f +31906,100%,,2.0,f +40123,100%,Gambia,1.0,t +34306,91%,Wallis and Futuna,30.0,t +42865,,Turkmenistan,1.0,f +22295,,,2.0,t +35646,100%,Gambia,1.0,t +13012,60%,Uzbekistan,2.0,f +46716,100%,Malta,1.0,f +38250,100%,,2.0,f +40793,100%,,75.0,t +13641,85%,Mauritania,23.0,f +13641,85%,Mauritania,23.0,f +14348,100%,,1.0,f +31092,,Senegal,19.0,f +43397,,Zimbabwe,1.0,f +40920,100%,,1.0,f +38717,100%,Niue,1.0,f +38250,100%,,2.0,f +38979,100%,Nicaragua,1.0,f +22077,100%,Mauritania,10.0,f +16820,100%,,1.0,t +30286,100%,Montserrat,39.0,f +49101,,Turkmenistan,1.0,f +30286,100%,Montserrat,39.0,f +45162,,Maldives,20.0,f +16911,,Libyan Arab Jamahiriya,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +10370,100%,Russian Federation,2.0,f +5573,100%,Saint Helena,1.0,f +23034,99%,Monaco,54.0,f +10030,,Tonga,1.0,f +38582,100%,,7.0,f +25154,100%,,2.0,t +24896,100%,Algeria,50.0,t +17924,,Chad,1.0,t +16776,70%,Saint Helena,2.0,f +26267,,Gambia,1.0,f +36007,100%,,1.0,t +32935,,Ghana,40.0,f +10370,100%,Russian Federation,2.0,f +27883,100%,Cuba,11.0,f +37778,92%,Tonga,24.0,f +40995,100%,Guinea,1.0,f +1882,98%,,3.0,f +15224,100%,Guinea,2.0,t +19484,100%,Andorra,1.0,f +2037,80%,Gambia,1.0,f +10910,100%,Uzbekistan,2.0,f +32919,100%,Jersey,1.0,f +34362,80%,Cocos (Keeling) Islands,1.0,t +38582,100%,,7.0,f +37893,90%,Tunisia,1.0,t +28965,90%,Pakistan,2.0,f +30679,100%,,1.0,f +46020,100%,France,1.0,f +22331,99%,Rwanda,50.0,t +18754,100%,Croatia,1.0,f +4412,100%,Estonia,2.0,f +39766,100%,Saint Helena,1.0,f +47929,100%,Mauritania,2.0,f +39915,100%,Vanuatu,1.0,f +44763,,Niue,1.0,f +3739,100%,Marshall Islands,1.0,f +322,100%,,1.0,t +24893,100%,Rwanda,9.0,f +37699,100%,,1.0,f +42046,,Kiribati,7.0,t +4446,100%,Uganda,58.0,f +48252,,Vanuatu,4.0,f +17423,90%,,2.0,f +43659,98%,Maldives,14.0,f +26023,,Zimbabwe,2.0,f +28331,100%,,3.0,f +33325,,Greenland,4.0,f +20481,,Isle of Man,2.0,f +47714,,Russian Federation,2.0,f +35761,100%,,1.0,f +4446,100%,Uganda,58.0,f +6764,79%,Sao Tome and Principe,2.0,f +1918,100%,Anguilla,1.0,f +37590,,,1.0,f +10488,100%,Niger,17.0,t +18484,100%,Gambia,108.0,f +22461,100%,Turks and Caicos Islands,4.0,f +39947,,Gambia,2.0,f +3482,100%,Marshall Islands,4.0,f +7991,100%,Jersey,1.0,f +1119,,Niue,1.0,f +1111,100%,Kiribati,2.0,f +48829,100%,Zimbabwe,1.0,f +32664,100%,Congo,4.0,f +27958,100%,Nicaragua,1.0,f +29647,100%,Peru,1305.0,f +47021,,,2.0,f +28226,94%,,1.0,f +39870,,Slovakia (Slovak Republic),21.0,t +19128,100%,Uzbekistan,12.0,t +3922,100%,Maldives,8.0,t +49327,,Anguilla,1.0,f +12453,0%,Uzbekistan,3.0,t +14502,67%,Malta,1.0,t +30848,,,1.0,f +43753,100%,,2.0,f +10202,89%,Nicaragua,10.0,f +44645,100%,Marshall Islands,2.0,t +49291,100%,Brazil,1.0,f +18320,50%,Reunion,19.0,t +9222,100%,Brazil,18.0,t +5471,100%,Isle of Man,2.0,f +42286,94%,Vietnam,9.0,t +4791,100%,French Guiana,1.0,f +19091,95%,Cook Islands,18.0,t +37778,92%,Tonga,24.0,f +37778,92%,Tonga,24.0,f +41456,100%,,1.0,t +2708,80%,Montserrat,1.0,f +11171,100%,Turks and Caicos Islands,4.0,f +37778,92%,Tonga,24.0,f +20397,,Turks and Caicos Islands,1.0,f +44436,,,1.0,f +37587,100%,Kiribati,1.0,f +45054,70%,Zimbabwe,1.0,t +1844,,Saint Helena,1.0,t +16540,100%,,1.0,f +23814,,Russian Federation,26.0,f +3922,100%,Maldives,8.0,t +23814,,Russian Federation,26.0,f +9879,,Cocos (Keeling) Islands,2.0,f +23814,,Russian Federation,26.0,f +3922,100%,Maldives,8.0,t +33817,100%,Gibraltar,62.0,f +23814,,Russian Federation,26.0,f +27690,,,1.0,f +23814,,Russian Federation,26.0,f +3922,100%,Maldives,8.0,t +45666,100%,,2.0,t +23814,,Russian Federation,26.0,f +18484,100%,Gambia,108.0,f +38282,,Tonga,5.0,f +20494,100%,Faroe Islands,1.0,f +32038,100%,Indonesia,35.0,f +2761,100%,,1.0,f +8358,,Micronesia,1.0,f +48979,,Switzerland,2.0,f +25352,100%,Monaco,3.0,t +27775,100%,Zimbabwe,1.0,t +43135,,,1.0,f +5652,92%,Montserrat,2.0,t +24846,90%,Anguilla,1.0,f +39352,100%,Somalia,1.0,t +48799,,,1.0,f +14731,100%,Brazil,2.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +42014,69%,China,17.0,f +1982,100%,,2.0,t +48382,100%,Niue,3.0,t +38678,100%,Kiribati,1.0,f +36253,100%,Nauru,21.0,t +42014,69%,China,17.0,f +44998,,,1.0,f +23809,,,1.0,f +11905,100%,,1.0,f +44606,100%,,2.0,f +27245,90%,Costa Rica,2.0,f +6382,100%,,3.0,f +6960,,Greenland,4.0,f +31270,100%,Guinea,2.0,f +43047,100%,Guinea,2.0,t +5517,,,1.0,f +46462,50%,Niger,1.0,f +23202,,Maldives,3.0,f +24821,100%,,1.0,t +41906,88%,Bouvet Island (Bouvetoya),1.0,t +16007,100%,Rwanda,1.0,f +19244,100%,,1.0,f +29898,100%,Jersey,1.0,f +49570,,Denmark,6.0,f +12520,100%,Isle of Man,2.0,t +42216,100%,Greenland,1.0,f +34721,,,1.0,f +41075,,Guinea,1.0,f +28010,100%,Nicaragua,2.0,t +47021,,,2.0,f +42014,69%,China,17.0,f +36774,100%,Tonga,19.0,f +27307,67%,,3.0,f +16750,,Estonia,1.0,f +23202,,Maldives,3.0,f +48979,,Switzerland,2.0,f +29931,100%,Brazil,1.0,f +32629,100%,Maldives,3.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +7994,100%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +28697,100%,Nauru,5.0,t +44857,100%,Zimbabwe,24.0,t +14256,100%,,3.0,f +14256,100%,,3.0,f +27365,30%,Uzbekistan,3.0,f +35217,100%,,5.0,f +35217,100%,,5.0,f +6371,100%,,1.0,f +35217,100%,,5.0,f +35217,100%,,5.0,f +35217,100%,,5.0,f +44857,100%,Zimbabwe,24.0,t +39893,100%,Niue,2.0,f +9859,100%,El Salvador,1.0,f +10112,,Uzbekistan,1.0,f +1230,,Croatia,4.0,f +35627,,,2.0,f +2775,,,1.0,f +36534,100%,Maldives,1.0,f +27507,100%,Lebanon,2.0,f +17433,,Saint Helena,1.0,f +10711,93%,Uganda,108.0,t +10711,93%,Uganda,108.0,t +15860,100%,Maldives,11.0,f +46857,100%,Marshall Islands,1.0,t +15860,100%,Maldives,11.0,f +15860,100%,Maldives,11.0,f +20844,,Tonga,2.0,t +15860,100%,Maldives,11.0,f +19968,100%,United Kingdom,1.0,f +15860,100%,Maldives,11.0,f +44366,100%,,1.0,f +17089,100%,Gibraltar,2.0,t +13898,,Niue,1.0,f +15860,100%,Maldives,11.0,f +15860,100%,Maldives,11.0,f +15860,100%,Maldives,11.0,f +2625,,Estonia,1.0,f +17936,,Micronesia,1.0,t +10783,,,1.0,f +49570,,Denmark,6.0,f +27959,100%,Russian Federation,1.0,t +2673,93%,Anguilla,2.0,f +46477,100%,Micronesia,2.0,f +34784,60%,Faroe Islands,19.0,t +12812,99%,Croatia,32.0,f +30141,100%,,3.0,f +43523,,Slovakia (Slovak Republic),1.0,f +8977,,United Kingdom,2.0,f +34393,,Saint Helena,1.0,f +6373,100%,,2.0,f +15860,100%,Maldives,11.0,f +46445,,,1.0,f +12512,,Greenland,1.0,f +20828,100%,Turks and Caicos Islands,2.0,f +35289,,Australia,2.0,f +37924,100%,Niger,2.0,f +1482,75%,Ecuador,1.0,f +31424,,Uganda,2.0,f +5064,80%,Guinea,2.0,t +22390,100%,Turks and Caicos Islands,1.0,f +29680,88%,Faroe Islands,2.0,f +12538,100%,Faroe Islands,1.0,f +16489,100%,Russian Federation,42.0,t +16620,100%,Puerto Rico,3.0,f +17198,100%,Gambia,1.0,f +25574,100%,Isle of Man,2.0,t +7121,,,1.0,t +7005,100%,Niue,3.0,f +26521,100%,Vanuatu,1.0,f +1474,100%,,1.0,f +33580,100%,Barbados,4.0,t +35289,,Australia,2.0,f +8656,100%,Venezuela,1.0,f +33509,,France,1.0,f +42014,69%,China,17.0,f +32537,100%,Kenya,1.0,t +3393,,Senegal,4.0,f +7005,100%,Niue,3.0,f +26051,,Niue,7.0,f +38901,100%,Lebanon,1.0,t +11991,100%,Chad,1.0,t +45397,80%,Sao Tome and Principe,1.0,f +19249,100%,Uganda,4.0,f +28515,100%,Lebanon,1.0,t +26051,,Niue,7.0,f +33408,100%,Tonga,6.0,f +35094,,Uzbekistan,1.0,f +7005,100%,Niue,3.0,f +35640,100%,Uganda,3.0,f +23383,100%,,2.0,f +15341,100%,Reunion,4.0,t +33816,100%,,1.0,f +30180,50%,Svalbard & Jan Mayen Islands,1.0,f +49568,100%,Niue,2.0,f +14032,,,9.0,f +33580,100%,Barbados,4.0,t +36774,100%,Tonga,19.0,f +36774,100%,Tonga,19.0,f +6158,,France,3.0,t +16644,67%,,2.0,t +26013,100%,Uzbekistan,4.0,f +8421,100%,,1.0,t +26013,100%,Uzbekistan,4.0,f +37639,100%,Nauru,11.0,f +4317,,,1.0,t +15565,80%,Andorra,1.0,t +48307,,Mauritania,1.0,f +47798,,,1.0,f +6954,,Anguilla,2.0,f +11429,,Portugal,2.0,f +8833,90%,Papua New Guinea,1.0,f +21481,,Kiribati,2.0,f +45162,,Maldives,20.0,f +25782,,Micronesia,1.0,t +10436,100%,Malta,1.0,f +21353,,Monaco,1.0,t +37172,,French Guiana,1.0,t +6225,90%,Barbados,7.0,f +45162,,Maldives,20.0,f +3173,,Wallis and Futuna,1.0,t +3561,60%,Niger,1.0,t +12661,50%,Montserrat,2.0,f +18406,100%,France,1.0,f +22563,100%,,1.0,f +46898,100%,Uzbekistan,3.0,f +22401,100%,Faroe Islands,2.0,f +786,,Niue,1.0,f +42014,69%,China,17.0,f +42003,,,5.0,f +27635,50%,Denmark,1.0,f +21481,,Kiribati,2.0,f +42762,100%,United Kingdom,1.0,f +21347,100%,Lithuania,1.0,t +9431,90%,,2.0,f +43876,100%,Turks and Caicos Islands,1.0,t +34119,,Nauru,3.0,f +23618,,Senegal,2.0,f +31641,100%,Kiribati,3.0,f +42003,,,5.0,f +42003,,,5.0,f +32935,,Ghana,40.0,f +42003,,,5.0,f +28648,97%,Estonia,5.0,f +14523,,Niue,1.0,t +4441,,Bosnia and Herzegovina,2.0,f +13024,,Reunion,3.0,t +27343,,,1.0,t +11864,100%,Anguilla,1.0,f +40793,100%,,75.0,t +35436,99%,Nicaragua,21.0,f +41780,100%,Denmark,2.0,t +3940,100%,Pakistan,2.0,f +37215,100%,Indonesia,4.0,t +36774,100%,Tonga,19.0,f +48685,100%,Russian Federation,5.0,f +31125,,Denmark,1.0,f +35436,99%,Nicaragua,21.0,f +32935,,Ghana,40.0,f +2135,100%,Tanzania,2.0,t +10217,100%,Bosnia and Herzegovina,7.0,t +22231,100%,Guinea,2.0,f +13892,90%,Sao Tome and Principe,2.0,f +12108,50%,Anguilla,1.0,f +33817,100%,Gibraltar,62.0,f +10322,,Kenya,1.0,f +2551,,,1.0,f +36688,100%,Lithuania,1.0,f +33620,,Brazil,1.0,t +24128,54%,Suriname,9.0,t +2028,,Sao Tome and Principe,1.0,t +1582,100%,Russian Federation,1.0,f +10515,50%,,1.0,f +17920,96%,,9.0,f +12863,100%,,1.0,f +21012,,Croatia,20.0,f +44567,,,1.0,f +32935,,Ghana,40.0,f +38969,100%,Holy See (Vatican City State),1.0,t +42014,69%,China,17.0,f +36192,100%,Uzbekistan,1.0,f +17245,100%,Denmark,3.0,f +40992,100%,,1.0,f +1721,100%,Ecuador,5.0,f +13641,85%,Mauritania,23.0,f +42014,69%,China,17.0,f +29026,100%,Micronesia,1.0,f +9363,95%,Ukraine,50.0,f +45553,90%,Brazil,16.0,t +49994,80%,Slovakia (Slovak Republic),1.0,f +21012,,Croatia,20.0,f +11125,100%,Nicaragua,12.0,t +21012,,Croatia,20.0,f +5121,75%,Philippines,2.0,f +21012,,Croatia,20.0,f +21012,,Croatia,20.0,f +1901,100%,El Salvador,1.0,f +44329,100%,Estonia,2.0,f +11567,100%,Niger,31.0,t +37416,,,1.0,t +27644,80%,Svalbard & Jan Mayen Islands,1.0,t +17939,,,2.0,t +11907,100%,Uzbekistan,1.0,f +35904,100%,Peru,1.0,f +23224,100%,,1.0,f +10697,100%,Uzbekistan,3.0,t +49570,,Denmark,6.0,f +17267,,Zimbabwe,1.0,f +36400,100%,Uzbekistan,1.0,f +9355,100%,Isle of Man,1.0,f +44068,,Cape Verde,1.0,f +49457,,Suriname,1.0,f +22847,,Croatia,1.0,t +17157,80%,,1.0,f +25066,,,1.0,f +43751,0%,,1.0,f +2603,96%,Uzbekistan,7.0,f +48023,,Russian Federation,3.0,f +41435,,Montserrat,2.0,f +42096,100%,Senegal,1.0,f +46355,100%,Niue,1.0,t +44302,,,1.0,f +41435,,Montserrat,2.0,f +13140,,,1.0,f +46090,100%,,1.0,f +6191,100%,Uzbekistan,2.0,t +31160,100%,Bosnia and Herzegovina,2.0,f +13197,100%,France,3.0,f +30466,,,1.0,t +14174,100%,Lebanon,1.0,f +48364,100%,,4.0,f +23513,,,1.0,f +4115,100%,,2.0,f +39593,100%,El Salvador,2.0,f +48840,100%,Uzbekistan,9.0,f +6841,100%,Mauritania,4.0,f +6841,100%,Mauritania,4.0,f +10015,,Bosnia and Herzegovina,8.0,f +42160,,,1.0,t +48409,,Estonia,60.0,t +36582,100%,Palestinian Territory,2.0,f +46328,100%,Kiribati,1.0,f +32915,100%,Zimbabwe,1.0,t +27276,100%,,1.0,f +46257,100%,,5.0,f +21323,100%,Guinea,2.0,t +6178,100%,Croatia,1.0,f +46726,100%,Brazil,1.0,f +21240,94%,Niger,130.0,f +8647,100%,Papua New Guinea,1.0,f +2530,100%,,1.0,f +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +21240,94%,Niger,130.0,f +374,75%,Brazil,2.0,t +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +18606,,Barbados,1.0,f +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +13014,,China,6.0,f +24594,100%,Rwanda,14.0,f +43321,100%,France,40.0,f +21012,,Croatia,20.0,f +43321,100%,France,40.0,f +19749,100%,Denmark,6.0,t +43321,100%,France,40.0,f +21012,,Croatia,20.0,f +21012,,Croatia,20.0,f +24981,,,1.0,f +21012,,Croatia,20.0,f +11447,100%,Isle of Man,1.0,f +21012,,Croatia,20.0,f +13678,,,2.0,f +45598,83%,China,17.0,f +114,,Mauritania,1.0,f +21012,,Croatia,20.0,f +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +21012,,Croatia,20.0,f +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +21240,94%,Niger,130.0,f +20334,99%,Niger,171.0,t +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +39492,90%,Portugal,1.0,f +21012,,Croatia,20.0,f +21240,94%,Niger,130.0,f +21012,,Croatia,20.0,f +27040,,Brazil,1.0,f +21240,94%,Niger,130.0,f +24128,54%,Suriname,9.0,t +21240,94%,Niger,130.0,f +20165,94%,Ukraine,30.0,f +34587,,Isle of Man,22.0,t +32203,100%,Barbados,176.0,f +5185,0%,Gambia,12.0,f +21240,94%,Niger,130.0,f +27048,100%,Guinea,1.0,t +25207,100%,,9.0,t +12956,,,1.0,t +21240,94%,Niger,130.0,f +32038,100%,Indonesia,35.0,f +29597,,Philippines,2.0,f +21240,94%,Niger,130.0,f +1547,100%,,1.0,f +8827,,France,1.0,f +8160,,,1.0,f +25207,100%,,9.0,t +13042,100%,Costa Rica,5.0,f +16776,70%,Saint Helena,2.0,f +13991,100%,Micronesia,1.0,f +7894,100%,Ukraine,10.0,f +12351,,Niue,3.0,f +24192,100%,,2.0,t +16703,100%,Uzbekistan,4.0,f +25879,,,1.0,f +40950,,,2.0,f +19395,,Isle of Man,1.0,f +46989,100%,Nicaragua,3.0,f +26406,100%,Kiribati,2.0,f +30808,,,2.0,f +28456,100%,,1.0,f +2862,100%,Vanuatu,1.0,f +46288,100%,Uzbekistan,2.0,t +11967,,,1.0,t +34486,90%,,5.0,f +5291,,,1.0,f +12173,100%,Uganda,9.0,f +46694,100%,,1.0,t +25207,100%,,9.0,t +4807,,,1.0,f +24195,56%,Barbados,14.0,f +32203,100%,Barbados,176.0,f +35436,99%,Nicaragua,21.0,f +36355,89%,Rwanda,2.0,f +10951,100%,,1.0,t +4330,94%,Ukraine,60.0,t +47699,,,1.0,f +10939,100%,Northern Mariana Islands,3.0,t +3330,,Niger,2.0,f +21220,100%,Uganda,5.0,f +34677,,Cocos (Keeling) Islands,1.0,f +45619,80%,,1.0,t +18752,100%,Maldives,1.0,f +4446,100%,Uganda,58.0,f +34119,,Nauru,3.0,f +32935,,Ghana,40.0,f +34119,,Nauru,3.0,f +27469,100%,Marshall Islands,3.0,f +39218,,,1.0,f +35347,100%,,2.0,t +37411,100%,Guernsey,3.0,f +35589,100%,,1.0,f +4139,67%,Guernsey,1.0,f +16090,,Nicaragua,1.0,f +18147,,Tonga,2.0,f +13441,100%,Togo,2.0,f +5582,100%,,2.0,t +13631,,Tonga,1.0,t +22166,100%,Sao Tome and Principe,1.0,f +31641,100%,Kiribati,3.0,f +45323,100%,,1.0,t +10002,100%,Guinea,1.0,t +33301,,,1.0,f +40778,100%,Pakistan,7.0,f +46607,100%,Brazil,4.0,f +25484,100%,,1.0,f +14250,,Marshall Islands,3.0,t +16691,,,2.0,f +11109,33%,Maldives,1.0,f +34486,90%,,5.0,f +32418,100%,Kiribati,1.0,f +40993,100%,Montserrat,15.0,f +18690,,Costa Rica,1.0,f +19556,100%,,1.0,f +9880,,,1.0,f +38429,83%,,2.0,f +2582,,,2.0,f +47193,100%,Moldova,3.0,f +49565,92%,Uganda,14.0,f +30648,100%,France,1.0,t +41586,,Netherlands,1.0,f +2036,100%,Slovakia (Slovak Republic),3.0,f +8750,,,1.0,f +21779,,,1.0,f +34486,90%,,5.0,f +10809,100%,Bosnia and Herzegovina,4.0,f +38828,100%,French Guiana,1.0,t +2026,88%,,1.0,f +21244,100%,Marshall Islands,1.0,f +4784,100%,,2.0,f +7645,86%,Reunion,3.0,t +44899,,,1.0,f +35436,99%,Nicaragua,21.0,f +49515,100%,Libyan Arab Jamahiriya,4.0,f +10122,100%,,1.0,t +25987,,Venezuela,7.0,t +15589,100%,Nicaragua,48.0,f +37790,,,1.0,f +19238,100%,Russian Federation,1.0,f +33085,,Russian Federation,1.0,t +19609,,Paraguay,2.0,f +9508,,Denmark,2.0,f +962,,Reunion,4.0,t +15589,100%,Nicaragua,48.0,f +20203,,,1.0,f +40845,0%,Togo,1.0,f +27774,78%,Vietnam,15.0,f +36182,0%,,2.0,f +43270,,Philippines,1.0,f +32955,,Monaco,1.0,f +15589,100%,Nicaragua,48.0,f +33817,100%,Gibraltar,62.0,f +48463,,,1.0,f +15589,100%,Nicaragua,48.0,f +13678,,,2.0,f +1111,100%,Kiribati,2.0,f +34042,100%,Marshall Islands,37.0,f +11602,100%,,1.0,f +32203,100%,Barbados,176.0,f +15589,100%,Nicaragua,48.0,f +9222,100%,Brazil,18.0,t +15589,100%,Nicaragua,48.0,f +26023,,Zimbabwe,2.0,f +33817,100%,Gibraltar,62.0,f +15589,100%,Nicaragua,48.0,f +49249,,,2.0,f +11002,,Philippines,10.0,f +23051,75%,Croatia,1.0,f +40303,100%,Guinea,82.0,f +49646,0%,,2.0,f +15589,100%,Nicaragua,48.0,f +11515,100%,Cook Islands,16.0,f +47274,100%,Tonga,48.0,f +8498,100%,,1.0,f +40303,100%,Guinea,82.0,f +47274,100%,Tonga,48.0,f +4575,100%,Pakistan,3.0,f +40303,100%,Guinea,82.0,f +36328,,China,3.0,f +15589,100%,Nicaragua,48.0,f +24128,54%,Suriname,9.0,t +20165,94%,Ukraine,30.0,f +41194,,Mexico,1.0,f +49777,100%,,1.0,t +24152,,Gambia,1.0,f +15589,100%,Nicaragua,48.0,f +41267,100%,Micronesia,2.0,t +44120,100%,,1.0,f +36328,,China,3.0,f +32347,50%,Denmark,2.0,f +14584,,Lebanon,1.0,f +34539,,Kenya,1.0,f +7236,,,1.0,f +10474,0%,,1.0,f +31418,,El Salvador,1.0,t +19927,,Anguilla,1.0,t +31426,100%,,1.0,t +7323,100%,Nauru,2.0,t +46891,,Mauritania,1.0,t +5722,100%,Svalbard & Jan Mayen Islands,1.0,f +22635,,,1.0,t +5007,13%,Jersey,1.0,t +10819,100%,Mexico,6.0,f +42253,100%,,1.0,f +6663,95%,Gambia,5.0,f +23691,100%,Faroe Islands,1.0,f +16756,100%,Togo,1.0,f +45633,100%,Ecuador,1.0,f +43550,100%,Rwanda,16.0,t +47426,100%,Ghana,2.0,f +31577,,Anguilla,1.0,f +24584,100%,Spain,4.0,t +21959,100%,Mexico,1.0,f +24584,100%,Spain,4.0,t +18484,100%,Gambia,108.0,f +34467,100%,Indonesia,1.0,f +428,100%,,1.0,f +11429,,Portugal,2.0,f +33817,100%,Gibraltar,62.0,f +32245,29%,Chad,1.0,f +12659,100%,,1.0,f +6442,,Uganda,1.0,f +13544,,Denmark,3.0,f +45628,100%,Guinea,2.0,f +31941,,Congo,1.0,f +29182,,Guinea,1.0,f +23716,100%,Turkmenistan,2.0,f +9691,,Uzbekistan,1.0,t +49521,0%,,1.0,f +5720,,,1.0,f +8224,98%,Estonia,12.0,f +7306,100%,Mauritania,1.0,f +14099,,,1.0,f +2397,,Russian Federation,2.0,f +18147,,Tonga,2.0,f +45628,100%,Guinea,2.0,f +27093,,Nicaragua,1.0,f +24128,54%,Suriname,9.0,t +17446,,,1.0,f +88,,Rwanda,2.0,f +2476,100%,Saint Helena,2.0,t +6116,100%,Monaco,8.0,f +44169,97%,Portugal,39.0,f +40793,100%,,75.0,t +32424,75%,Ecuador,7.0,f +37616,100%,Tonga,1.0,t +4521,90%,Pakistan,1.0,t +18631,100%,Ecuador,1.0,f +48358,100%,,1.0,f +33817,100%,Gibraltar,62.0,f +6116,100%,Monaco,8.0,f +33817,100%,Gibraltar,62.0,f +2473,100%,Uzbekistan,1.0,f +26322,,Sao Tome and Principe,1.0,t +19232,,,1.0,f +40421,96%,Jersey,29.0,t +12057,,Sao Tome and Principe,2.0,f +32203,100%,Barbados,176.0,f +33817,100%,Gibraltar,62.0,f +24195,56%,Barbados,14.0,f +38505,100%,,1.0,f +32424,75%,Ecuador,7.0,f +42831,100%,Holy See (Vatican City State),4.0,t +38696,100%,Slovakia (Slovak Republic),1.0,f +10711,93%,Uganda,108.0,t +11125,100%,Nicaragua,12.0,t +32424,75%,Ecuador,7.0,f +28638,,Cook Islands,1.0,f +16651,100%,Guinea,21.0,f +1537,100%,,3.0,f +49987,100%,,19.0,f +33885,100%,Vanuatu,1.0,f +25352,100%,Monaco,3.0,t +29604,,Uzbekistan,1.0,f +6514,100%,Monaco,2.0,t +1441,100%,,1.0,f +23204,100%,Gambia,1.0,t +37385,,,1.0,f +44865,100%,Micronesia,1.0,f +2582,,,2.0,f +8619,,Faroe Islands,1.0,f +21006,,Cape Verde,1.0,f +7823,100%,Cape Verde,1.0,t +25073,,Venezuela,1.0,f +47811,100%,Vietnam,2.0,f +36421,100%,Lebanon,4.0,t +16691,,,2.0,f +25891,100%,,1.0,t +20486,,El Salvador,2.0,f +3393,,Senegal,4.0,f +28954,100%,Rwanda,4.0,f +41786,100%,Senegal,3.0,t +41786,100%,Senegal,3.0,t +44606,100%,,2.0,f +9570,100%,Micronesia,1.0,f +18813,100%,Uzbekistan,1.0,t +38319,100%,Nicaragua,20.0,f +15263,55%,,1.0,t +8802,100%,Marshall Islands,2.0,f +38319,100%,Nicaragua,20.0,f +27774,78%,Vietnam,15.0,f +25046,100%,Maldives,14.0,f +38319,100%,Nicaragua,20.0,f +4575,100%,Pakistan,3.0,f +38319,100%,Nicaragua,20.0,f +23045,,,3.0,f +44261,,Croatia,1.0,f +25046,100%,Maldives,14.0,f +33817,100%,Gibraltar,62.0,f +32424,75%,Ecuador,7.0,f +25046,100%,Maldives,14.0,f +32424,75%,Ecuador,7.0,f +25046,100%,Maldives,14.0,f +3465,80%,Niue,3.0,t +25046,100%,Maldives,14.0,f +45873,,Guinea,1.0,f +7793,70%,Chile,1.0,f +4002,,France,1.0,f +32424,75%,Ecuador,7.0,f +16651,100%,Guinea,21.0,f +32424,75%,Ecuador,7.0,f +7164,,,1.0,f +13007,,Lebanon,1.0,t +16882,,Bahrain,1.0,f +16651,100%,Guinea,21.0,f +33817,100%,Gibraltar,62.0,f +30786,,Uzbekistan,29.0,f +440,100%,,1.0,f +48819,95%,Pakistan,6.0,f +2743,97%,China,23.0,f +3806,,,11.0,f +27824,,Guinea,1.0,t +3004,100%,Uganda,1.0,f +2743,97%,China,23.0,f +29647,100%,Peru,1305.0,f +49419,,Maldives,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +22695,97%,Pakistan,6.0,t +38450,,Isle of Man,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +2743,97%,China,23.0,f +29465,60%,Uzbekistan,1.0,t +39283,100%,Uganda,13.0,f +45893,100%,,2.0,t +19183,,,2.0,t +24671,,Ghana,10.0,f +42986,100%,,1.0,f +2743,97%,China,23.0,f +42677,,Nicaragua,1.0,t +38875,100%,Gambia,3.0,f +4812,,Micronesia,1.0,f +1199,100%,Spain,1.0,f +11898,,Netherlands,1.0,f +45893,100%,,2.0,t +19879,99%,Guinea,19.0,f +965,100%,Tanzania,3.0,f +30786,,Uzbekistan,29.0,f +19879,99%,Guinea,19.0,f +29495,100%,Marshall Islands,1.0,f +35566,100%,Indonesia,4.0,f +25626,100%,Canada,2.0,f +3828,,,1.0,f +43152,100%,Nicaragua,82.0,t +19879,99%,Guinea,19.0,f +15176,,Vanuatu,10.0,f +39317,100%,,2.0,f +27973,100%,Somalia,1.0,t +44486,100%,,2.0,f +14899,100%,Zimbabwe,3.0,t +6881,100%,Niue,3.0,f +35799,,Netherlands,7.0,f +17326,70%,Croatia,2.0,f +47636,100%,Mauritania,2.0,f +36363,82%,Marshall Islands,5.0,f +11616,100%,Uzbekistan,12.0,t +21988,100%,,1.0,f +37595,90%,Lithuania,4.0,f +30210,,Turkmenistan,2.0,f +33122,100%,Costa Rica,1.0,t +27329,100%,,1.0,t +47636,100%,Mauritania,2.0,f +26441,,Niue,1.0,f +33393,100%,Guernsey,3.0,f +1657,,Croatia,13.0,t +6633,100%,Niger,5.0,f +6633,100%,Niger,5.0,f +34244,,Nauru,2.0,f +2324,100%,Russian Federation,1.0,f +2289,,Tanzania,2.0,f +26988,100%,Greenland,1.0,f +47812,100%,Maldives,1.0,f +34244,,Nauru,2.0,f +42011,100%,Micronesia,3.0,f +34596,100%,Rwanda,1.0,f +4412,100%,Estonia,2.0,f +45793,100%,Niue,5.0,t +23786,100%,Isle of Man,1.0,f +4446,100%,Uganda,58.0,f +686,97%,Micronesia,7.0,t +34606,100%,Nicaragua,1.0,f +36068,,,1.0,f +46419,100%,Jersey,1.0,f +45064,98%,Anguilla,15.0,f +19657,88%,,1.0,f +6510,70%,,2.0,f +10147,,,1.0,f +29957,,Gambia,2.0,f +6632,100%,Micronesia,3.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +30351,,Isle of Man,1.0,t +37595,90%,Lithuania,4.0,f +16985,,Isle of Man,1.0,f +42014,69%,China,17.0,f +12825,100%,,1.0,f +6779,,Rwanda,1.0,t +17748,100%,Gibraltar,1.0,t +48176,,Marshall Islands,2.0,t +636,97%,Vanuatu,3.0,f +17036,81%,Reunion,6.0,f +24299,100%,,1.0,f +38725,,Mexico,1.0,f +10387,100%,Ukraine,1.0,f +36774,100%,Tonga,19.0,f +4446,100%,Uganda,58.0,f +1786,80%,,1.0,f +14235,,Malta,1.0,f +26406,100%,Kiribati,2.0,f +27977,100%,,1.0,f +21233,100%,Zimbabwe,1.0,f +44284,60%,Chile,3.0,f +22518,100%,Guinea,6.0,f +40364,100%,Tonga,25.0,f +5040,100%,Kenya,1.0,f +41546,100%,Mauritania,21.0,f +41546,100%,Mauritania,21.0,f +10484,100%,Guinea,12.0,t +31755,90%,,1.0,f +35891,,,1.0,f +41957,50%,,1.0,t +17303,100%,Russian Federation,5.0,t +49100,100%,Estonia,1.0,f +1322,,Micronesia,1.0,t +45162,,Maldives,20.0,f +44490,75%,,2.0,f +24092,100%,France,3.0,t +4446,100%,Uganda,58.0,f +20616,90%,Afghanistan,1.0,f +42014,69%,China,17.0,f +4446,100%,Uganda,58.0,f +45409,90%,,1.0,f +6033,100%,El Salvador,3.0,f +38852,,Zimbabwe,1.0,f +6033,100%,El Salvador,3.0,f +4446,100%,Uganda,58.0,f +36606,100%,Nicaragua,2.0,f +20402,100%,Senegal,4.0,f +43729,,Kiribati,1.0,f +21249,80%,Sao Tome and Principe,1.0,f +48372,100%,Barbados,12.0,t +22905,100%,Niue,3.0,f +36564,100%,Venezuela,5.0,t +47132,,,1.0,f +20165,94%,Ukraine,30.0,f +6632,100%,Micronesia,3.0,f +13062,,,1.0,f +33507,100%,Sao Tome and Principe,2.0,f +49282,,Tonga,2.0,f +42788,100%,Palestinian Territory,2.0,f +30764,100%,Slovakia (Slovak Republic),8.0,t +27785,100%,Uzbekistan,58.0,f +9739,100%,Maldives,44.0,f +31311,100%,,1.0,f +31265,90%,,1.0,t +42971,100%,Niue,1.0,f +15136,100%,Estonia,1.0,f +10790,100%,,1.0,f +28563,100%,,2.0,f +32474,91%,Niue,2.0,f +48819,95%,Pakistan,6.0,f +39181,100%,Niger,1.0,f +48819,95%,Pakistan,6.0,f +3879,100%,Anguilla,6.0,f +33986,100%,Sao Tome and Principe,1.0,f +15700,100%,Tonga,1.0,t +37016,100%,Greenland,6.0,f +43356,100%,,1.0,t +44781,90%,,1.0,f +5042,,Mauritania,2.0,f +29491,100%,Russian Federation,1.0,t +34880,,Tonga,2.0,f +22521,100%,Jersey,1.0,t +3879,100%,Anguilla,6.0,f +25322,100%,,1.0,f +8923,,Lebanon,1.0,t +3879,100%,Anguilla,6.0,f +10348,100%,Tunisia,1.0,f +36312,100%,Bouvet Island (Bouvetoya),1.0,f +13436,100%,Turkmenistan,2.0,t +4040,90%,Tonga,1.0,f +22712,,Holy See (Vatican City State),1.0,f +28667,100%,Barbados,1.0,f +16254,100%,,1.0,f +21522,,,1.0,f +19035,100%,Croatia,2.0,t +2210,100%,,2.0,f +13056,100%,Kiribati,2.0,f +44922,100%,Jersey,2.0,f +33690,,Gambia,1.0,f +41274,,Isle of Man,1.0,f +13142,80%,France,2.0,f +18022,90%,France,2.0,f +7222,100%,,2.0,f +16456,100%,,1.0,t +17938,100%,Montserrat,4.0,f +5010,100%,Kiribati,1.0,f +11697,0%,,1.0,f +23549,100%,Palestinian Territory,2.0,t +1455,100%,France,2.0,f +42425,,El Salvador,1.0,f +49844,,,1.0,f +37567,,Estonia,2.0,f +6612,100%,Chile,1.0,t +26239,100%,,1.0,f +13056,100%,Kiribati,2.0,f +28211,,,1.0,f +17217,,Lebanon,1.0,t +21620,,,1.0,f +48941,100%,Denmark,1.0,f +42323,100%,Somalia,1.0,f +13581,71%,,1.0,f +23296,,,1.0,f +31236,,Guernsey,1.0,f +38319,100%,Nicaragua,20.0,f +14514,,China,80.0,t +38319,100%,Nicaragua,20.0,f +11807,,Indonesia,2.0,f +22720,92%,Nicaragua,1.0,f +38319,100%,Nicaragua,20.0,f +45752,,,1.0,t +38319,100%,Nicaragua,20.0,f +38319,100%,Nicaragua,20.0,f +38319,100%,Nicaragua,20.0,f +6451,80%,Uzbekistan,3.0,f +22196,,Monaco,1.0,t +1212,100%,Tonga,2.0,f +39397,,Guinea,3.0,t +1721,100%,Ecuador,5.0,f +42035,90%,Jersey,2.0,f +1212,100%,Tonga,2.0,f +12427,,,1.0,f +22638,93%,Maldives,2.0,t +6641,,Gibraltar,1.0,f +16843,100%,United Kingdom,2.0,f +35822,100%,Indonesia,2.0,f +6451,80%,Uzbekistan,3.0,f +21598,,Lebanon,6.0,f +37595,90%,Lithuania,4.0,f +41969,,France,1.0,t +34993,100%,Afghanistan,3.0,f +23559,100%,United Kingdom,1.0,f +39395,100%,Mauritania,3.0,t +48966,100%,Tanzania,2.0,f +46686,100%,,1.0,t +8176,50%,,1.0,f +33226,,Ecuador,14.0,f +4991,,,1.0,f +3233,100%,Monaco,2.0,f +33226,,Ecuador,14.0,f +10084,,Tanzania,1.0,f +33226,,Ecuador,14.0,f +33226,,Ecuador,14.0,f +33226,,Ecuador,14.0,f +28848,100%,Uganda,9.0,f +30355,100%,Barbados,3.0,t +33226,,Ecuador,14.0,f +29627,,Lebanon,1.0,f +4057,100%,Rwanda,16.0,f +3401,100%,,1.0,f +4057,100%,Rwanda,16.0,f +2463,0%,,1.0,f +4057,100%,Rwanda,16.0,f +4057,100%,Rwanda,16.0,f +16860,100%,,1.0,t +29090,100%,France,1.0,f +4057,100%,Rwanda,16.0,f +42014,69%,China,17.0,f +4057,100%,Rwanda,16.0,f +29116,100%,El Salvador,19.0,t +4057,100%,Rwanda,16.0,f +4057,100%,Rwanda,16.0,f +32935,,Ghana,40.0,f +4057,100%,Rwanda,16.0,f +33226,,Ecuador,14.0,f +29647,100%,Peru,1305.0,f +4057,100%,Rwanda,16.0,f +4057,100%,Rwanda,16.0,f +978,95%,Lithuania,29.0,f +17407,,French Guiana,1.0,t +4057,100%,Rwanda,16.0,f +6801,100%,Kiribati,2.0,f +38453,100%,,1.0,f +13070,100%,Fiji,45.0,f +6144,100%,Kiribati,2.0,t +12173,100%,Uganda,9.0,f +3019,100%,Barbados,18.0,f +46669,86%,Brazil,11.0,f +33226,,Ecuador,14.0,f +33226,,Ecuador,14.0,f +20165,94%,Ukraine,30.0,f +33226,,Ecuador,14.0,f +41693,100%,Nicaragua,2.0,f +33226,,Ecuador,14.0,f +49461,100%,Tonga,1.0,f +33226,,Ecuador,14.0,f +13618,67%,,2.0,f +21211,100%,Nicaragua,2.0,f +13439,100%,Tonga,1.0,f +20961,100%,Monaco,1.0,f +33226,,Ecuador,14.0,f +13618,67%,,2.0,f +13070,100%,Fiji,45.0,f +16649,100%,Gibraltar,8.0,f +10568,100%,French Guiana,1.0,f +5677,100%,,1.0,f +1170,100%,Papua New Guinea,2.0,f +16651,100%,Guinea,21.0,f +4556,100%,,1.0,f +1054,100%,Guinea,20.0,f +39605,100%,Jersey,1.0,f +50098,,Marshall Islands,2.0,f +7846,100%,Malta,1.0,f +34486,90%,,5.0,f +3078,,,1.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +1054,100%,Guinea,20.0,f +735,100%,Mauritania,1.0,f +6047,100%,Zimbabwe,1.0,f +4889,100%,French Guiana,1.0,f +4341,80%,,1.0,f +1054,100%,Guinea,20.0,f +40877,,Marshall Islands,1.0,f +36010,100%,,2.0,f +1054,100%,Guinea,20.0,f +23616,100%,Chile,1.0,f +48485,100%,Indonesia,1.0,f +42788,100%,Palestinian Territory,2.0,f +33502,100%,Guinea,1.0,t +37926,67%,China,2.0,f +21436,0%,Denmark,1.0,f +16627,100%,France,1.0,f +8579,100%,Lithuania,2.0,f +5622,,Zimbabwe,1.0,f +25516,,Palestinian Territory,1.0,f +10488,100%,Niger,17.0,t +30483,100%,Rwanda,1.0,f +38563,92%,Russian Federation,2.0,f +24829,,China,2.0,t +48491,,Sao Tome and Principe,1.0,f +39746,100%,Lithuania,1.0,t +11674,100%,Uzbekistan,4.0,f +50073,,Micronesia,1.0,f +43943,,Maldives,2.0,t +10484,100%,Guinea,12.0,t +10484,100%,Guinea,12.0,t +11753,100%,Gambia,11.0,t +15053,25%,Uzbekistan,1.0,t +21438,100%,China,3.0,f +47956,100%,Saint Helena,2.0,f +38582,100%,,7.0,f +44831,100%,Russian Federation,1.0,f +38335,79%,Guinea,11.0,f +19035,100%,Croatia,2.0,t +49465,100%,Costa Rica,1.0,f +10351,98%,El Salvador,15.0,f +25009,,Philippines,1.0,f +19044,100%,,1.0,f +642,,Nauru,3.0,t +25435,0%,,1.0,f +34535,,Rwanda,1.0,f +47274,100%,Tonga,48.0,f +1766,,Zimbabwe,2.0,f +33817,100%,Gibraltar,62.0,f +48968,,Croatia,1.0,t +31707,100%,Niger,48.0,f +33226,,Ecuador,14.0,f +15475,100%,Chad,1.0,f +1054,100%,Guinea,20.0,f +45250,,,1.0,f +36182,0%,,2.0,f +47956,100%,Saint Helena,2.0,f +16649,100%,Gibraltar,8.0,f +47737,,Sao Tome and Principe,2.0,f +33496,80%,Marshall Islands,2.0,t +42669,,Sao Tome and Principe,2.0,f +32203,100%,Barbados,176.0,f +15589,100%,Nicaragua,48.0,f +25476,100%,Fiji,11.0,f +15589,100%,Nicaragua,48.0,f +48819,95%,Pakistan,6.0,f +33817,100%,Gibraltar,62.0,f +11139,,Afghanistan,1.0,f +29647,100%,Peru,1305.0,f +3521,0%,Maldives,1.0,t +32203,100%,Barbados,176.0,f +27024,,,1.0,f +48819,95%,Pakistan,6.0,f +38480,100%,Kenya,1.0,f +42035,90%,Jersey,2.0,f +9892,,France,2.0,f +25723,100%,Vietnam,3.0,t +15864,100%,Afghanistan,2.0,f +5914,,Chile,1.0,f +1194,100%,Anguilla,1.0,f +13212,100%,Zimbabwe,12.0,t +30847,,French Guiana,1.0,f +44399,75%,Gibraltar,1.0,f +33817,100%,Gibraltar,62.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +41870,,Lebanon,1.0,f +44604,100%,,1.0,f +24375,100%,Niue,1.0,t +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +11567,100%,Niger,31.0,t +22932,100%,Tonga,1.0,f +23579,100%,,1.0,f +1098,100%,Gibraltar,2.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +11002,,Philippines,10.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +18023,100%,Canada,1.0,f +27149,100%,Guinea,1.0,f +34736,100%,,1.0,t +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +11926,,Tonga,4.0,t +3898,,United Kingdom,1.0,t +18484,100%,Gambia,108.0,f +26381,100%,Venezuela,1.0,f +32203,100%,Barbados,176.0,f +41172,60%,China,1.0,t +18362,100%,Uganda,5.0,f +3221,100%,Niue,1.0,f +33817,100%,Gibraltar,62.0,f +25939,100%,Nauru,2.0,f +4798,100%,Guinea,1.0,t +42769,,Malta,1.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +9473,80%,Cape Verde,1.0,t +5973,,Jersey,5.0,f +25667,,,1.0,f +46826,100%,France,1.0,f +19124,100%,Indonesia,1.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +1929,100%,Niue,7.0,t +37624,83%,Portugal,1.0,f +40724,,Niue,1.0,f +7404,0%,,4.0,f +19505,,Bosnia and Herzegovina,1.0,t +7404,0%,,4.0,f +7404,0%,,4.0,f +7404,0%,,4.0,f +33372,100%,Guinea,22.0,t +33880,84%,Barbados,18.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +39368,,Sao Tome and Principe,1.0,f +33880,84%,Barbados,18.0,f +18077,100%,Sao Tome and Principe,139.0,f +29206,,China,1.0,f +33817,100%,Gibraltar,62.0,f +33880,84%,Barbados,18.0,f +33880,84%,Barbados,18.0,f +33880,84%,Barbados,18.0,f +33880,84%,Barbados,18.0,f +14256,100%,,3.0,f +25374,100%,Tonga,8.0,f +20153,96%,Reunion,51.0,f +5121,75%,Philippines,2.0,f +40923,75%,,2.0,f +31830,100%,Tonga,1.0,f +33372,100%,Guinea,22.0,t +44227,100%,,1.0,f +16703,100%,Uzbekistan,4.0,f +20717,100%,,1.0,f +10913,,,2.0,t +18518,100%,El Salvador,1.0,f +10913,,,2.0,t +30181,100%,Lebanon,2.0,f +33372,100%,Guinea,22.0,t +1573,100%,,1.0,f +16567,100%,Russian Federation,4.0,f +35693,100%,Turkmenistan,1.0,t +15594,,,1.0,f +42392,100%,Greenland,4.0,f +6634,,,1.0,f +47583,100%,,1.0,t +14864,100%,Tanzania,1.0,t +4272,,Greenland,1.0,f +451,70%,Cocos (Keeling) Islands,2.0,f +30020,,,1.0,f +10622,,,1.0,f +33372,100%,Guinea,22.0,t +45944,100%,,1.0,f +34446,,Cocos (Keeling) Islands,2.0,t +45149,100%,Chad,3.0,t +14514,,China,80.0,t +30794,100%,Barbados,5.0,t +20520,83%,,1.0,f +361,,,2.0,f +32207,,,1.0,f +41694,0%,,4.0,f +43025,100%,Isle of Man,1.0,f +41694,0%,,4.0,f +25560,100%,,1.0,f +41694,0%,,4.0,f +41694,0%,,4.0,f +45557,100%,,2.0,f +18247,95%,Iran,80.0,t +18247,95%,Iran,80.0,t +18247,95%,Iran,80.0,t +26302,,Gambia,2.0,f +28954,100%,Rwanda,4.0,f +43612,100%,,1.0,f +10351,98%,El Salvador,15.0,f +46669,86%,Brazil,11.0,f +35623,,Micronesia,1.0,f +6419,0%,Niue,1.0,f +17779,100%,,1.0,f +18455,92%,,1.0,f +39257,100%,Brazil,4.0,f +29967,94%,Reunion,5.0,f +9892,,France,2.0,f +31052,0%,Nicaragua,1.0,f +46980,100%,Marshall Islands,1.0,t +1054,100%,Guinea,20.0,f +49133,100%,Reunion,3.0,t +11023,,,1.0,f +39467,100%,Nicaragua,4.0,t +22891,100%,,1.0,f +30549,100%,Mauritania,1.0,t +49473,,,1.0,f +14514,,China,80.0,t +27653,100%,Monaco,1.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +27554,100%,Montserrat,1.0,t +19943,63%,Isle of Man,34.0,f +14684,,,1.0,f +215,100%,Niue,1.0,f +19943,63%,Isle of Man,34.0,f +19943,63%,Isle of Man,34.0,f +19627,0%,,4.0,f +19627,0%,,4.0,f +19627,0%,,4.0,f +19627,0%,,4.0,f +40637,,Sao Tome and Principe,1.0,t +8107,80%,,1.0,f +47270,100%,Guinea,1.0,f +18373,100%,Zimbabwe,1.0,t +12217,100%,Gambia,1.0,f +15520,90%,Afghanistan,1.0,t +14333,,Tonga,3.0,f +31019,100%,Ghana,5.0,f +15620,95%,Marshall Islands,5.0,f +32203,100%,Barbados,176.0,f +6692,,,1.0,f +15860,100%,Maldives,11.0,f +26116,,Rwanda,3.0,f +47665,,Kenya,4.0,t +12817,,,1.0,f +5973,,Jersey,5.0,f +31619,,,1.0,f +44499,100%,,1.0,f +11063,90%,,16.0,t +6468,100%,Marshall Islands,1.0,t +40793,100%,,75.0,t +12025,100%,,1.0,f +21203,,,1.0,t +2060,70%,,1.0,f +12173,100%,Uganda,9.0,f +17033,81%,,2.0,f +46841,100%,Niger,1.0,t +48436,,Barbados,1.0,t +49065,100%,,1.0,f +8478,100%,Bosnia and Herzegovina,1.0,f +14663,100%,Kenya,1.0,f +11242,,Greenland,2.0,f +17448,100%,Somalia,2.0,f +18303,100%,,7.0,f +18303,100%,,7.0,f +18303,100%,,7.0,f +18303,100%,,7.0,f +18303,100%,,7.0,f +39591,,Chad,1.0,t +18303,100%,,7.0,f +18303,100%,,7.0,f +28994,100%,Jersey,1.0,f +47004,,Venezuela,1.0,f +47278,,,1.0,f +11115,,Cocos (Keeling) Islands,2.0,f +29123,100%,Zimbabwe,16.0,t +41630,100%,Kiribati,24.0,f +41630,100%,Kiribati,24.0,f +34086,80%,,2.0,f +34086,80%,,2.0,f +41669,100%,Russian Federation,1.0,f +14795,90%,,1.0,f +22092,100%,France,2.0,f +31202,90%,Kiribati,107.0,f +5802,100%,France,3.0,t +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +9812,100%,,1.0,t +9124,100%,,1.0,f +30660,80%,Portugal,2.0,t +33817,100%,Gibraltar,62.0,f +33639,100%,Turks and Caicos Islands,2.0,f +44787,,,1.0,f +6782,100%,Uganda,5.0,f +361,,,2.0,f +18699,100%,Kenya,2.0,f +36207,100%,,1.0,f +18860,100%,,4.0,t +43512,,Uzbekistan,1.0,t +26386,100%,Fiji,25.0,t +33372,100%,Guinea,22.0,t +4558,30%,,3.0,f +8127,67%,Turks and Caicos Islands,1.0,f +26138,70%,Ecuador,1.0,f +33372,100%,Guinea,22.0,t +13871,100%,,1.0,f +37643,,Netherlands,1.0,f +24300,97%,Palau,5.0,t +1657,,Croatia,13.0,t +18860,100%,,4.0,t +4592,100%,,1.0,f +33372,100%,Guinea,22.0,t +49522,,,1.0,f +26100,,Jersey,1.0,f +23339,100%,Slovakia (Slovak Republic),1.0,f +4800,,Guinea,1.0,f +25711,100%,,2.0,f +31529,100%,Wallis and Futuna,6.0,f +7273,100%,,1.0,f +2404,,Barbados,3.0,t +38420,90%,Christmas Island,8.0,f +5506,,Ghana,1.0,f +40256,,Uzbekistan,2.0,t +9353,,Sudan,3.0,f +18366,78%,,1.0,f +34054,100%,,4.0,f +44210,95%,,3.0,f +31529,100%,Wallis and Futuna,6.0,f +5042,,Mauritania,2.0,f +13533,100%,,1.0,f +3966,100%,Micronesia,2.0,t +35582,100%,Russian Federation,1.0,f +42241,0%,Zimbabwe,1.0,f +8156,,Russian Federation,3.0,f +16496,97%,Maldives,4.0,f +21559,75%,Tokelau,3.0,t +38843,100%,Uzbekistan,3.0,f +26961,100%,Estonia,1.0,f +40303,100%,Guinea,82.0,f +17702,,Lebanon,1.0,f +26483,100%,,1.0,f +30093,100%,Isle of Man,1.0,f +780,,United Kingdom,1.0,f +44253,75%,,1.0,f +20334,99%,Niger,171.0,t +26347,,Chad,1.0,t +12829,100%,,1.0,f +32789,,Gambia,2.0,t +31026,,Micronesia,1.0,t +3373,67%,,6.0,f +45246,100%,Russian Federation,2.0,f +19697,100%,Brazil,3.0,f +3373,67%,,6.0,f +9276,,,1.0,f +3373,67%,,6.0,f +3373,67%,,6.0,f +3373,67%,,6.0,f +3373,67%,,6.0,f +45496,40%,Niue,6.0,f +2682,100%,Lebanon,1.0,t +26970,100%,Burkina Faso,3.0,f +26970,100%,Burkina Faso,3.0,f +5052,80%,Micronesia,1.0,f +32593,82%,,6.0,t +9354,100%,Spain,12.0,f +3790,100%,Netherlands,16.0,f +9744,100%,,1.0,f +24230,100%,Reunion,1.0,f +40096,,Micronesia,1.0,f +5420,100%,Tonga,41.0,f +24177,,Venezuela,4.0,t +48617,70%,Jersey,1.0,f +38882,100%,Niue,3.0,f +48117,98%,Ukraine,41.0,f +22461,100%,Turks and Caicos Islands,4.0,f +27406,,Isle of Man,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43090,,,1.0,t +22382,,,1.0,f +3621,,Croatia,1.0,t +5591,99%,Indonesia,16.0,t +22721,100%,Ecuador,109.0,f +25147,99%,Niger,48.0,f +27979,100%,Kiribati,2.0,f +35641,,Netherlands,15.0,t +5409,100%,Russian Federation,1.0,f +5420,100%,Tonga,41.0,f +7430,100%,Marshall Islands,1.0,f +19142,90%,Niger,9.0,f +45929,96%,Uganda,3.0,f +23419,,,10.0,f +19142,90%,Niger,9.0,f +31336,,Bouvet Island (Bouvetoya),8.0,t +24589,100%,Uzbekistan,2.0,f +22077,100%,Mauritania,10.0,f +26123,,Tunisia,5.0,t +48117,98%,Ukraine,41.0,f +6223,100%,Marshall Islands,12.0,f +23588,,Ghana,3.0,f +26123,,Tunisia,5.0,t +33817,100%,Gibraltar,62.0,f +3550,,Cocos (Keeling) Islands,3.0,t +46546,,Turkmenistan,1.0,f +13932,,,1.0,f +48960,100%,,13.0,t +42984,100%,,1.0,f +1910,,Turkmenistan,1.0,f +46989,100%,Nicaragua,3.0,f +31930,,Anguilla,2.0,f +27655,,Monaco,1.0,f +18687,83%,,1.0,t +47070,,Reunion,1.0,f +27388,100%,Montserrat,1.0,t +21861,100%,Cuba,2.0,f +10711,93%,Uganda,108.0,t +6223,100%,Marshall Islands,12.0,f +9629,100%,,1.0,f +6662,,,2.0,t +7460,100%,China,1.0,f +6223,100%,Marshall Islands,12.0,f +10814,,Micronesia,1.0,f +9511,,Nicaragua,1.0,f +27353,,French Guiana,1.0,t +6223,100%,Marshall Islands,12.0,f +6223,100%,Marshall Islands,12.0,f +45134,70%,Kiribati,3.0,f +6433,100%,Tonga,1.0,f +46946,,,1.0,f +6223,100%,Marshall Islands,12.0,f +45870,100%,Puerto Rico,2.0,t +25141,100%,Togo,1.0,f +1423,,Guinea,1.0,f +22077,100%,Mauritania,10.0,f +36750,100%,Jersey,3.0,f +31873,99%,Uzbekistan,22.0,f +17626,100%,Faroe Islands,2.0,t +42021,,Gambia,2.0,f +20619,,,1.0,t +31873,99%,Uzbekistan,22.0,f +2828,100%,Denmark,1.0,f +2204,,,1.0,f +43162,72%,China,7.0,f +20839,70%,,1.0,t +31353,,,1.0,f +49266,100%,,1.0,f +3121,95%,Zimbabwe,9.0,t +5104,90%,,2.0,f +43053,,Papua New Guinea,1.0,f +45931,,Niue,1.0,f +4343,100%,,1.0,t +30998,100%,,1.0,f +15759,,Tonga,4.0,t +36253,100%,Nauru,21.0,t +42887,,,1.0,f +36253,100%,Nauru,21.0,t +13979,100%,Andorra,1.0,f +9715,100%,Russian Federation,1.0,t +16649,100%,Gibraltar,8.0,f +32210,0%,,1.0,f +15639,,Faroe Islands,1.0,f +27652,100%,El Salvador,5.0,f +10015,,Bosnia and Herzegovina,8.0,f +5533,100%,France,1.0,t +10015,,Bosnia and Herzegovina,8.0,f +33817,100%,Gibraltar,62.0,f +34723,100%,Peru,12.0,f +31628,,,1.0,f +24026,98%,Cape Verde,69.0,t +45490,95%,Barbados,6.0,f +18524,100%,Philippines,2.0,t +47381,,Indonesia,3.0,f +29328,,Moldova,1.0,t +14176,,Anguilla,1.0,f +45396,100%,,1.0,f +25125,,Mauritania,1.0,f +42741,100%,Tanzania,1.0,f +20334,99%,Niger,171.0,t +7513,,,1.0,t +24026,98%,Cape Verde,69.0,t +33817,100%,Gibraltar,62.0,f +34819,,Cuba,1.0,f +42954,100%,Finland,1.0,f +48428,,Lebanon,1.0,f +31127,,Lebanon,1.0,t +45354,100%,,1.0,f +35786,100%,Isle of Man,1.0,f +6841,100%,Mauritania,4.0,f +17187,,Lithuania,1.0,f +47533,,Senegal,1.0,f +20486,,El Salvador,2.0,f +3404,100%,Lebanon,2.0,f +21265,,,1.0,t +45053,100%,Marshall Islands,2.0,f +33156,,Uzbekistan,1.0,t +18459,100%,Zimbabwe,100.0,f +2743,97%,China,23.0,f +39555,100%,Marshall Islands,13.0,t +34711,,Indonesia,1.0,f +35987,,Togo,1.0,t +1947,100%,Micronesia,1.0,f +40278,,Uganda,2.0,f +20334,99%,Niger,171.0,t +36291,,Niue,1.0,f +35315,100%,,1.0,f +20334,99%,Niger,171.0,t +41377,,Peru,1.0,f +17822,,Russian Federation,1.0,t +45939,100%,Niue,1.0,t +14639,,Uzbekistan,1.0,t +12306,,Niue,1.0,f +20407,100%,,4.0,f +27069,100%,Mauritania,1.0,t +25283,70%,Iceland,2.0,t +32260,100%,,1.0,f +3801,50%,Maldives,5.0,f +13070,100%,Fiji,45.0,f +3801,50%,Maldives,5.0,f +38552,100%,Montserrat,1.0,f +3801,50%,Maldives,5.0,f +36473,,,1.0,f +7997,100%,,1.0,f +14381,,Micronesia,1.0,t +6193,100%,Monaco,1.0,t +34880,,Tonga,2.0,f +46982,93%,Denmark,2.0,f +19091,95%,Cook Islands,18.0,t +48764,,Kiribati,1.0,f +43943,,Maldives,2.0,t +13916,,Guinea,1.0,f +24187,,,1.0,t +40716,100%,,3.0,f +38645,100%,,3.0,f +44394,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +25168,100%,Chile,1.0,t +42655,,Rwanda,1.0,f +24025,,,1.0,f +19019,97%,Nicaragua,1484.0,f +20798,80%,,1.0,f +19019,97%,Nicaragua,1484.0,f +40294,100%,Barbados,6.0,f +46989,100%,Nicaragua,3.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +25373,,,1.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +28954,100%,Rwanda,4.0,f +19019,97%,Nicaragua,1484.0,f +6338,100%,Isle of Man,6.0,f +38516,95%,Pakistan,9.0,f +19737,100%,,1.0,f +8085,,,1.0,f +1302,,Brazil,2.0,t +21330,,Zimbabwe,1.0,t +29905,,Russian Federation,1.0,f +14363,,,1.0,f +16842,100%,Tanzania,2.0,t +12656,,,1.0,f +16885,,,1.0,f +38019,100%,Afghanistan,10.0,f +39143,89%,,33.0,f +12173,100%,Uganda,9.0,f +76,96%,Togo,7.0,f +33749,93%,Mauritania,7.0,f +40387,,,1.0,t +76,96%,Togo,7.0,f +34096,100%,Andorra,10.0,f +38019,100%,Afghanistan,10.0,f +2336,,,2.0,f +40989,,Zimbabwe,1.0,t +8091,97%,Cuba,10.0,f +3839,,,1.0,t +12173,100%,Uganda,9.0,f +35522,100%,Kiribati,10.0,f +47108,,,1.0,t +28524,80%,Isle of Man,1.0,f +30141,100%,,3.0,f +48462,,,1.0,f +35716,100%,Pakistan,4.0,f +27418,,Grenada,1.0,f +8252,100%,,1.0,f +36822,100%,,3.0,f +30904,100%,Sao Tome and Principe,2.0,f +30179,100%,Sao Tome and Principe,1.0,f +47302,,Netherlands,2.0,f +28264,80%,Cape Verde,1.0,f +118,,,1.0,f +37418,100%,Maldives,3.0,f +28725,,,1.0,f +1766,,Zimbabwe,2.0,f +2845,,Kiribati,9.0,f +9363,95%,Ukraine,50.0,f +2845,,Kiribati,9.0,f +5371,,,1.0,t +19913,100%,,1.0,t +31172,87%,Netherlands Antilles,2.0,f +41546,100%,Mauritania,21.0,f +7319,100%,Guinea,1.0,f +32589,100%,,1.0,t +2845,,Kiribati,9.0,f +30906,,Isle of Man,1.0,t +42583,100%,Sao Tome and Principe,5.0,f +41546,100%,Mauritania,21.0,f +47920,,American Samoa,3.0,t +4399,,Guinea,2.0,t +31010,100%,Denmark,1.0,f +13812,100%,Estonia,1.0,f +5577,,Zimbabwe,2.0,t +7183,50%,,3.0,f +26836,,,1.0,f +6103,100%,Slovenia,1.0,f +7907,,American Samoa,1.0,f +32630,100%,,1.0,f +43794,,Sao Tome and Principe,1.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +21119,100%,,1.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +4406,50%,,1.0,f +42729,80%,,1.0,f +40003,100%,,6.0,t +23275,,Micronesia,5.0,t +29337,,,1.0,f +27095,,Nicaragua,2.0,f +36074,100%,Micronesia,1.0,f +38149,100%,Niger,12.0,f +36610,,,1.0,f +49570,,Denmark,6.0,f +15279,,Afghanistan,22.0,t +22023,50%,,1.0,f +14063,100%,Denmark,10.0,t +32083,,,1.0,f +44114,92%,,5.0,f +27400,100%,Uganda,1.0,f +22428,100%,,1.0,f +45828,90%,Togo,9.0,f +35811,0%,Switzerland,1.0,f +31482,,Papua New Guinea,2.0,t +31730,100%,Denmark,1.0,f +45425,100%,Mexico,1.0,t +14365,86%,Svalbard & Jan Mayen Islands,1.0,f +48756,100%,Maldives,59.0,f +22467,100%,Estonia,2.0,f +11003,,Cook Islands,1.0,f +13018,100%,Guernsey,4.0,t +23503,100%,Marshall Islands,1.0,f +12173,100%,Uganda,9.0,f +9284,100%,Nicaragua,4.0,f +25070,,Slovakia (Slovak Republic),1.0,t +41043,100%,Bosnia and Herzegovina,11.0,f +35624,100%,Estonia,1.0,f +31303,,Costa Rica,1.0,f +8334,,,1.0,t +45828,90%,Togo,9.0,f +48079,,Denmark,1.0,f +16176,100%,Christmas Island,1.0,f +44782,100%,,2.0,f +31531,,Isle of Man,1.0,f +34391,,,2.0,f +20165,94%,Ukraine,30.0,f +26123,,Tunisia,5.0,t +20334,99%,Niger,171.0,t +46590,100%,Nicaragua,2.0,f +5806,90%,Niue,2.0,f +30317,100%,Marshall Islands,1.0,f +22222,100%,,1.0,f +32879,100%,Niue,1.0,f +21936,100%,Marshall Islands,1.0,f +34454,100%,Marshall Islands,1.0,f +9096,,,1.0,t +35653,100%,Barbados,1.0,t +1719,,Fiji,2.0,t +30505,100%,Turkmenistan,2.0,f +18886,95%,Vietnam,3.0,t +9019,100%,Greenland,2.0,f +9215,100%,Anguilla,2.0,f +34844,,France,1.0,f +27079,,Maldives,14.0,t +2499,100%,Costa Rica,3.0,f +47274,100%,Tonga,48.0,f +8746,,Canada,1.0,f +46477,100%,Micronesia,2.0,f +47665,,Kenya,4.0,t +44260,100%,Jersey,1.0,t +49742,,Marshall Islands,1.0,f +20967,100%,Congo,3.0,t +42637,,,1.0,f +9222,100%,Brazil,18.0,t +28295,,Niue,1.0,f +41844,,Uzbekistan,1.0,t +40694,,Togo,1.0,f +20497,100%,Niue,2.0,f +3865,,Bouvet Island (Bouvetoya),1.0,f +47665,,Kenya,4.0,t +37214,100%,Gibraltar,1.0,f +27623,,Switzerland,1.0,t +16758,40%,Barbados,3.0,f +7557,100%,Uganda,1.0,f +26512,,Marshall Islands,1.0,f +41994,,Portugal,2.0,f +46670,,Guinea,1.0,f +11192,100%,,1.0,f +44654,,Maldives,3.0,f +23854,,Uzbekistan,15.0,f +11481,100%,Croatia,1.0,f +45730,100%,,1.0,f +23854,,Uzbekistan,15.0,f +18155,100%,,2.0,f +41984,,Kenya,1.0,t +23854,,Uzbekistan,15.0,f +44586,85%,Ukraine,13.0,f +27056,100%,Kenya,4.0,f +30120,100%,Chad,2.0,t +32341,70%,Russian Federation,5.0,f +48840,100%,Uzbekistan,9.0,f +23227,,Isle of Man,1.0,t +44586,85%,Ukraine,13.0,f +44586,85%,Ukraine,13.0,f +19019,97%,Nicaragua,1484.0,f +10351,98%,El Salvador,15.0,f +10351,98%,El Salvador,15.0,f +32920,60%,Reunion,5.0,f +6051,100%,Pakistan,2.0,f +39338,50%,Micronesia,2.0,f +48840,100%,Uzbekistan,9.0,f +19019,97%,Nicaragua,1484.0,f +41404,,,1.0,f +10015,,Bosnia and Herzegovina,8.0,f +19019,97%,Nicaragua,1484.0,f +3719,100%,,1.0,f +39822,100%,Togo,3.0,f +42837,100%,Turkmenistan,2.0,t +3446,,China,3.0,f +13772,,Uzbekistan,1.0,t +4295,90%,,1.0,t +38319,100%,Nicaragua,20.0,f +38319,100%,Nicaragua,20.0,f +809,100%,Guinea,1.0,f +29079,,Estonia,2.0,f +31383,100%,Spain,4.0,f +35981,100%,Niger,1.0,f +16758,40%,Barbados,3.0,f +16758,40%,Barbados,3.0,f +14192,100%,Denmark,2.0,f +24461,,Lebanon,1.0,f +29079,,Estonia,2.0,f +28400,,Brazil,1.0,f +15589,100%,Nicaragua,48.0,f +6081,100%,,1.0,f +38270,100%,Maldives,6.0,f +45982,100%,,1.0,f +15589,100%,Nicaragua,48.0,f +40303,100%,Guinea,82.0,f +45576,,Jersey,1.0,f +19214,100%,Senegal,55.0,f +40163,100%,Marshall Islands,1.0,f +34724,100%,Gibraltar,1.0,f +18484,100%,Gambia,108.0,f +20680,83%,Russian Federation,3.0,t +45811,100%,Niue,1.0,f +15589,100%,Nicaragua,48.0,f +40303,100%,Guinea,82.0,f +9601,,,1.0,f +33692,100%,Zimbabwe,1.0,t +15133,100%,United Kingdom,1.0,f +20153,96%,Reunion,51.0,f +22046,100%,Zimbabwe,1.0,f +29733,,Russian Federation,15.0,f +3274,86%,Barbados,24.0,f +13127,100%,Niger,22.0,f +16726,,Denmark,1.0,t +35064,,Andorra,1.0,f +22195,100%,Greenland,2.0,f +19013,100%,Maldives,1.0,f +32258,79%,Ukraine,22.0,f +22600,83%,Malta,2.0,f +44654,,Maldives,3.0,f +32258,79%,Ukraine,22.0,f +36564,100%,Venezuela,5.0,t +48133,,Isle of Man,45.0,f +16109,100%,,1.0,f +19790,50%,Niue,1.0,f +22394,83%,Finland,1.0,f +32203,100%,Barbados,176.0,f +10732,,Uganda,5.0,f +31346,,,1.0,f +6223,100%,Marshall Islands,12.0,f +21049,100%,,1.0,f +6223,100%,Marshall Islands,12.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +5420,100%,Tonga,41.0,f +32203,100%,Barbados,176.0,f +7656,100%,Russian Federation,1.0,f +24365,,Estonia,2.0,f +40793,100%,,75.0,t +7108,,Monaco,1.0,f +13700,100%,Isle of Man,8.0,f +32203,100%,Barbados,176.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +31475,100%,Gambia,1.0,f +5420,100%,Tonga,41.0,f +19019,97%,Nicaragua,1484.0,f +29899,,Niue,3.0,f +29899,,Niue,3.0,f +29899,,Niue,3.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +48840,100%,Uzbekistan,9.0,f +32962,,Turkmenistan,1.0,t +4014,100%,United Kingdom,1.0,f +30925,95%,,3.0,t +4353,,Niue,1.0,f +16603,,Tunisia,5.0,f +27223,,Spain,1.0,f +10107,60%,,3.0,f +16603,,Tunisia,5.0,f +31937,100%,,1.0,f +30587,44%,Russian Federation,1.0,t +45134,70%,Kiribati,3.0,f +6549,,Zimbabwe,1.0,t +32341,70%,Russian Federation,5.0,f +49120,,,1.0,t +32341,70%,Russian Federation,5.0,f +9020,100%,Tonga,1.0,f +384,100%,Turkmenistan,1.0,t +45710,100%,,2.0,t +32341,70%,Russian Federation,5.0,f +3832,,Guinea,1.0,f +7509,,,1.0,f +33089,,,1.0,t +42292,,Puerto Rico,3.0,f +47131,100%,,1.0,f +14418,,,1.0,f +41711,100%,Uzbekistan,2.0,f +39493,,Montserrat,5.0,f +22637,,Gambia,1.0,f +6083,,,1.0,t +10230,100%,Niue,2.0,t +23549,100%,Palestinian Territory,2.0,t +32203,100%,Barbados,176.0,f +38522,100%,Sao Tome and Principe,9.0,f +33861,100%,,1.0,f +38493,,Uzbekistan,12.0,f +38493,,Uzbekistan,12.0,f +10351,98%,El Salvador,15.0,f +10351,98%,El Salvador,15.0,f +33158,,Denmark,2.0,f +11974,100%,Turkmenistan,4.0,t +35015,100%,Senegal,4.0,t +34723,100%,Peru,12.0,f +2264,80%,,1.0,f +24742,,Anguilla,1.0,f +48133,,Isle of Man,45.0,f +1929,100%,Niue,7.0,t +43126,90%,,1.0,f +13743,,Sao Tome and Principe,1.0,f +199,,Niger,3.0,t +40921,100%,,1.0,f +14576,,,1.0,f +31779,100%,Uzbekistan,2.0,f +19942,,Isle of Man,1.0,f +38733,100%,,2.0,f +22292,,,1.0,f +32203,100%,Barbados,176.0,f +37418,100%,Maldives,3.0,f +33817,100%,Gibraltar,62.0,f +32843,,,1.0,f +31533,100%,Malawi,1.0,f +37582,100%,Cook Islands,3.0,f +31750,100%,,2.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +11510,,Montserrat,11.0,f +25108,100%,,1.0,t +24026,98%,Cape Verde,69.0,t +33817,100%,Gibraltar,62.0,f +32203,100%,Barbados,176.0,f +48133,,Isle of Man,45.0,f +24026,98%,Cape Verde,69.0,t +40062,100%,Micronesia,2.0,f +1183,,,2.0,f +36652,,,1.0,f +11002,,Philippines,10.0,f +21598,,Lebanon,6.0,f +48271,100%,Russian Federation,1.0,f +33817,100%,Gibraltar,62.0,f +35625,98%,Estonia,25.0,t +22708,100%,,7.0,f +22708,100%,,7.0,f +2191,,,2.0,f +22708,100%,,7.0,f +22708,100%,,7.0,f +22708,100%,,7.0,f +16365,,,1.0,t +22708,100%,,7.0,f +22708,100%,,7.0,f +11403,80%,Barbados,3.0,f +32203,100%,Barbados,176.0,f +8528,100%,,1.0,f +31770,,,2.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +24446,,Tonga,1.0,f +2743,97%,China,23.0,f +37347,,,1.0,f +42855,,Holy See (Vatican City State),2.0,f +6373,100%,,2.0,f +41155,,,7.0,f +41155,,,7.0,f +41155,,,7.0,f +41155,,,7.0,f +41155,,,7.0,f +41155,,,7.0,f +41155,,,7.0,f +30216,98%,Maldives,34.0,f +7359,,Lebanon,2.0,t +13625,80%,Tonga,3.0,f +5531,100%,,1.0,f +32203,100%,Barbados,176.0,f +39786,,Uzbekistan,1.0,f +43941,,France,1.0,f +6458,,Anguilla,1.0,f +49533,50%,,1.0,t +40725,,Gambia,1.0,f +6223,100%,Marshall Islands,12.0,f +18484,100%,Gambia,108.0,f +10514,,Gambia,1.0,f +6223,100%,Marshall Islands,12.0,f +28516,100%,Cocos (Keeling) Islands,1.0,f +667,100%,Croatia,4.0,t +578,,Ecuador,1.0,f +29718,100%,Philippines,6.0,t +6522,,Lithuania,1.0,f +45580,,,1.0,f +11872,,,13.0,f +29647,100%,Peru,1305.0,f +9300,100%,,1.0,f +42083,,,1.0,f +33817,100%,Gibraltar,62.0,f +27529,,Niue,1.0,f +45127,100%,Isle of Man,1.0,f +13700,100%,Isle of Man,8.0,f +33428,100%,,1.0,f +24071,100%,Indonesia,22.0,f +38017,,,1.0,t +10711,93%,Uganda,108.0,t +4267,100%,Senegal,22.0,t +783,100%,Svalbard & Jan Mayen Islands,12.0,t +43832,,,1.0,f +6806,,,1.0,f +12083,,,1.0,f +11002,,Philippines,10.0,f +24071,100%,Indonesia,22.0,f +11002,,Philippines,10.0,f +8774,100%,United Kingdom,1.0,t +33325,,Greenland,4.0,f +11002,,Philippines,10.0,f +11002,,Philippines,10.0,f +20789,98%,Sao Tome and Principe,13.0,f +1416,100%,,1.0,f +36130,,,1.0,t +40051,,,1.0,f +20481,,Isle of Man,2.0,f +19019,97%,Nicaragua,1484.0,f +25682,100%,,2.0,f +21925,100%,,1.0,t +9014,,,1.0,f +45380,100%,,1.0,f +22433,,,1.0,f +17159,100%,,1.0,f +44155,,Russian Federation,2.0,t +46825,100%,,1.0,f +35322,,,1.0,f +36671,100%,,1.0,f +32763,100%,,10.0,f +45759,,,1.0,f +32763,100%,,10.0,f +32763,100%,,10.0,f +20462,100%,,1.0,t +32763,100%,,10.0,f +39493,,Montserrat,5.0,f +32763,100%,,10.0,f +32763,100%,,10.0,f +28589,100%,Bosnia and Herzegovina,5.0,f +37788,,,1.0,f +43722,,,1.0,t +36229,89%,Togo,4.0,f +38522,100%,Sao Tome and Principe,9.0,f +12091,,Portugal,1.0,t +7361,,,1.0,f +18980,,,1.0,f +27315,0%,United Kingdom,1.0,f +19019,97%,Nicaragua,1484.0,f +32887,,,1.0,f +40446,100%,Tanzania,2.0,t +31171,,,3.0,f +38522,100%,Sao Tome and Principe,9.0,f +33158,,Denmark,2.0,f +10686,86%,Tonga,21.0,f +6945,100%,Cuba,8.0,f +15285,88%,,1.0,f +18319,,Saint Helena,2.0,f +25351,100%,Fiji,6.0,f +8870,100%,Svalbard & Jan Mayen Islands,3.0,f +13700,100%,Isle of Man,8.0,f +4699,100%,Greenland,1.0,f +25351,100%,Fiji,6.0,f +35096,,,2.0,f +47031,100%,,4.0,f +28061,100%,Denmark,5.0,f +26411,100%,Niue,1.0,t +23335,100%,,3.0,f +4980,,Isle of Man,2.0,t +15010,100%,,1.0,f +20238,100%,Guinea,1.0,f +7255,100%,Bouvet Island (Bouvetoya),8.0,t +6719,100%,Svalbard & Jan Mayen Islands,1.0,f +636,97%,Vanuatu,3.0,f +17941,100%,France,1.0,t +22818,,Uganda,1.0,f +17516,100%,Denmark,1.0,f +19217,98%,Marshall Islands,46.0,f +38516,95%,Pakistan,9.0,f +20692,100%,Marshall Islands,7.0,t +28015,100%,Maldives,3.0,f +48819,95%,Pakistan,6.0,f +40528,100%,Guinea,1.0,f +49602,100%,Bahrain,1.0,f +36883,,,1.0,f +39831,50%,,1.0,f +6088,100%,,14.0,t +18891,80%,,1.0,f +39465,100%,,1.0,f +28709,,United Kingdom,2.0,f +15589,100%,Nicaragua,48.0,f +37767,,,1.0,f +42014,69%,China,17.0,f +14544,100%,,1.0,f +48964,100%,Nicaragua,19.0,t +10269,,Mauritania,2.0,f +49987,100%,,19.0,f +17845,,Anguilla,1.0,f +1054,100%,Guinea,20.0,f +10269,,Mauritania,2.0,f +24365,,Estonia,2.0,f +9354,100%,Spain,12.0,f +15589,100%,Nicaragua,48.0,f +34758,0%,Niger,1.0,f +15589,100%,Nicaragua,48.0,f +8188,40%,Indonesia,1.0,f +15245,100%,,11.0,f +48294,,Papua New Guinea,1.0,f +10014,,,1.0,f +34304,33%,Micronesia,1.0,f +7639,,Tonga,5.0,f +6265,100%,,2.0,f +44513,,,1.0,f +20423,67%,Philippines,3.0,f +24483,,,2.0,f +13114,100%,Indonesia,1.0,f +45625,50%,Uzbekistan,2.0,f +8665,100%,,1.0,f +4034,89%,Barbados,1.0,f +35641,,Netherlands,15.0,t +15002,,,2.0,f +42794,,Uzbekistan,1.0,t +18459,100%,Zimbabwe,100.0,f +29835,,,1.0,f +16651,100%,Guinea,21.0,f +8455,80%,,1.0,t +48581,,Montserrat,8.0,t +25165,93%,Uzbekistan,7.0,f +39233,,,1.0,t +4440,86%,Uzbekistan,1.0,f +20490,100%,Russian Federation,1.0,f +25303,100%,,1.0,f +29520,,Nicaragua,54.0,f +16651,100%,Guinea,21.0,f +16651,100%,Guinea,21.0,f +21598,,Lebanon,6.0,f +22244,100%,Finland,6.0,t +27477,100%,Tonga,1.0,f +32028,100%,,1.0,f +16651,100%,Guinea,21.0,f +18459,100%,Zimbabwe,100.0,f +27961,100%,Switzerland,2.0,f +8427,100%,Rwanda,2.0,t +10015,,Bosnia and Herzegovina,8.0,f +32258,79%,Ukraine,22.0,f +38279,93%,Mauritania,8.0,t +32763,100%,,10.0,f +32763,100%,,10.0,f +5973,,Jersey,5.0,f +11361,,,1.0,t +26649,,Uzbekistan,1.0,t +32763,100%,,10.0,f +32763,100%,,10.0,f +29380,83%,Guinea,1.0,f +2001,100%,Mauritania,1.0,f +7364,,,1.0,f +23114,75%,Nauru,1.0,f +31754,33%,,1.0,f +14810,100%,Kiribati,1.0,f +15847,,Uganda,13.0,f +16471,,,3.0,f +22854,100%,Russian Federation,2.0,t +43894,50%,Denmark,1.0,f +24723,,Uzbekistan,1.0,f +27851,,United Kingdom,6.0,t +35832,,Lebanon,3.0,t +6570,100%,Lithuania,2.0,f +7952,,Andorra,1.0,f +24991,100%,Indonesia,14.0,f +13700,100%,Isle of Man,8.0,f +4543,,Jersey,1.0,f +17127,,,1.0,f +45295,,Kenya,1.0,f +37418,100%,Maldives,3.0,f +12088,100%,Kiribati,8.0,f +37088,0%,,1.0,f +30207,100%,,1.0,f +13364,91%,Netherlands,21.0,f +25509,,Niue,1.0,f +45281,,,1.0,f +6239,100%,,3.0,f +33873,100%,Turks and Caicos Islands,8.0,t +45563,100%,,1.0,f +28061,100%,Denmark,5.0,f +28061,100%,Denmark,5.0,f +28061,100%,Denmark,5.0,f +38644,,,1.0,f +19126,92%,Niue,2.0,f +15632,,,1.0,f +40702,80%,Niue,2.0,t +32281,0%,,1.0,t +35015,100%,Senegal,4.0,t +6570,100%,Lithuania,2.0,f +635,100%,Guinea,2.0,f +30995,,,7.0,f +47487,90%,,3.0,f +44291,,Kiribati,1.0,f +37224,,El Salvador,2.0,f +14605,100%,Guinea,1.0,f +11511,,,1.0,f +12308,,Tonga,1.0,f +25987,,Venezuela,7.0,t +18951,100%,,1.0,f +29647,100%,Peru,1305.0,f +25082,64%,Estonia,10.0,f +32038,100%,Indonesia,35.0,f +16651,100%,Guinea,21.0,f +44687,,Russian Federation,1.0,f +1230,,Croatia,4.0,f +2392,100%,Jersey,1.0,f +10400,100%,Paraguay,4.0,t +25082,64%,Estonia,10.0,f +35771,100%,Lithuania,1.0,f +17762,90%,Niue,1.0,f +48117,98%,Ukraine,41.0,f +16651,100%,Guinea,21.0,f +2414,100%,Greenland,1.0,f +19386,,Kiribati,1.0,f +962,,Reunion,4.0,t +15843,100%,Slovakia (Slovak Republic),18.0,f +10217,100%,Bosnia and Herzegovina,7.0,t +16190,100%,Holy See (Vatican City State),1.0,t +16651,100%,Guinea,21.0,f +20686,100%,Guernsey,1.0,f +29896,,Tonga,1.0,t +48136,,Vanuatu,2.0,t +18459,100%,Zimbabwe,100.0,f +10265,100%,Micronesia,3.0,f +13834,,Kiribati,9.0,f +18459,100%,Zimbabwe,100.0,f +40790,,Guernsey,1.0,t +45316,,Philippines,1.0,f +22849,100%,Denmark,4.0,t +7704,100%,,1.0,f +40561,90%,Bouvet Island (Bouvetoya),1.0,t +13538,100%,Tonga,1.0,f +48634,,Maldives,1.0,t +20777,,Niger,1.0,f +6713,100%,Mauritania,10.0,f +21220,100%,Uganda,5.0,f +18459,100%,Zimbabwe,100.0,f +22849,100%,Denmark,4.0,t +16489,100%,Russian Federation,42.0,t +23042,100%,,1.0,f +39834,,,1.0,f +33746,100%,Venezuela,2.0,f +40841,100%,Micronesia,1.0,f +13276,90%,United Kingdom,5.0,t +48116,,,1.0,f +4525,98%,El Salvador,9.0,t +19200,,Niue,1.0,f +33167,100%,,1.0,t +49932,,France,2.0,f +28414,100%,Uzbekistan,22.0,f +49713,,Slovenia,2.0,t +43834,99%,Uganda,13.0,f +22975,,Puerto Rico,1.0,t +37036,94%,Estonia,9.0,f +18459,100%,Zimbabwe,100.0,f +5420,100%,Tonga,41.0,f +18247,95%,Iran,80.0,t +22662,,,1.0,f +18459,100%,Zimbabwe,100.0,f +5057,100%,Zimbabwe,23.0,t +48788,90%,,1.0,f +35221,100%,Turks and Caicos Islands,30.0,t +28414,100%,Uzbekistan,22.0,f +18459,100%,Zimbabwe,100.0,f +34042,100%,Marshall Islands,37.0,f +12883,,Costa Rica,1.0,f +32258,79%,Ukraine,22.0,f +3180,100%,Fiji,1.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +7931,80%,China,1.0,f +32258,79%,Ukraine,22.0,f +18459,100%,Zimbabwe,100.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +1013,100%,Venezuela,4.0,f +32258,79%,Ukraine,22.0,f +1013,100%,Venezuela,4.0,f +7165,100%,Brazil,5.0,t +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +34817,100%,,2.0,f +32258,79%,Ukraine,22.0,f +20241,86%,Isle of Man,1.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +32258,79%,Ukraine,22.0,f +29647,100%,Peru,1305.0,f +34817,100%,,2.0,f +11305,,,23.0,f +7463,100%,Jersey,1.0,t +32258,79%,Ukraine,22.0,f +39452,,Chile,1.0,f +40425,,Cocos (Keeling) Islands,1.0,f +5057,100%,Zimbabwe,23.0,t +19413,,Micronesia,1.0,f +551,95%,Rwanda,17.0,f +76,96%,Togo,7.0,f +25146,100%,Sao Tome and Principe,4.0,f +25254,100%,Brazil,1.0,f +45688,,Kenya,10.0,f +22516,,Estonia,1.0,f +27045,,,1.0,f +45945,,Gambia,1.0,f +30902,100%,Senegal,1.0,f +2663,,France,1.0,f +22605,100%,,1.0,f +24600,,,1.0,f +7797,,,2.0,f +44490,75%,,2.0,f +27225,100%,Kiribati,1.0,f +7708,100%,Turkmenistan,1.0,f +12209,100%,Niue,1.0,f +12828,0%,France,1.0,t +4279,,Gibraltar,1.0,f +46442,100%,,1.0,t +21804,,Portugal,1.0,t +32322,,,1.0,f +36690,100%,Afghanistan,2.0,f +33050,,Anguilla,1.0,f +1768,,Malawi,2.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +2212,100%,,1.0,f +30271,100%,Svalbard & Jan Mayen Islands,1.0,t +34173,,,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +41842,,Portugal,2.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +32343,50%,,2.0,f +13194,100%,Kiribati,2.0,f +27193,100%,Rwanda,1.0,t +24671,,Ghana,10.0,f +17488,88%,Guinea,1.0,f +42653,,,2.0,f +48675,100%,Venezuela,2.0,f +26253,,,1.0,f +17603,100%,Nicaragua,1.0,t +8488,,Gambia,2.0,f +36960,100%,Micronesia,1.0,t +17303,100%,Russian Federation,5.0,t +45217,,Cook Islands,1.0,f +10395,100%,Russian Federation,1.0,f +19374,100%,Gambia,2.0,t +29520,,Nicaragua,54.0,f +41373,,Lebanon,8.0,f +6894,80%,Estonia,47.0,t +29572,100%,Zimbabwe,1.0,f +8225,95%,Barbados,31.0,f +4194,0%,,1.0,f +46198,,Ecuador,1.0,f +29520,,Nicaragua,54.0,f +16022,100%,Mexico,1.0,t +38327,100%,Ukraine,1.0,f +24782,100%,Barbados,1.0,f +21893,,Montserrat,1.0,f +8099,100%,Tonga,1.0,f +18459,100%,Zimbabwe,100.0,f +18459,100%,Zimbabwe,100.0,f +247,,,1.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +18459,100%,Zimbabwe,100.0,f +15589,100%,Nicaragua,48.0,f +13250,100%,Uganda,1.0,f +15589,100%,Nicaragua,48.0,f +37341,,Pakistan,3.0,f +962,,Reunion,4.0,t +49103,80%,Rwanda,5.0,f +18459,100%,Zimbabwe,100.0,f +31424,,Uganda,2.0,f +10045,100%,,1.0,t +40364,100%,Tonga,25.0,f +14072,70%,Micronesia,1.0,f +43467,100%,,5.0,f +43467,100%,,5.0,f +43467,100%,,5.0,f +43467,100%,,5.0,f +43467,100%,,5.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +26809,100%,,8.0,f +17152,,Christmas Island,1.0,t +40364,100%,Tonga,25.0,f +1732,,Marshall Islands,1.0,f +37778,92%,Tonga,24.0,f +23119,,Faroe Islands,2.0,t +40364,100%,Tonga,25.0,f +48117,98%,Ukraine,41.0,f +21166,60%,Tonga,1.0,f +40364,100%,Tonga,25.0,f +5591,99%,Indonesia,16.0,t +5420,100%,Tonga,41.0,f +32545,100%,Isle of Man,1.0,f +43506,100%,Zimbabwe,1.0,t +8515,,Isle of Man,1.0,f +29520,,Nicaragua,54.0,f +36925,100%,,2.0,f +25343,100%,Ghana,1.0,f +23588,,Ghana,3.0,f +15707,100%,Vietnam,4.0,f +11518,100%,Libyan Arab Jamahiriya,1.0,f +36740,100%,,1.0,f +29591,100%,,4.0,f +8654,100%,Christmas Island,3.0,f +35846,,Niue,1.0,f +46190,100%,Togo,2.0,f +13703,50%,Kenya,2.0,f +47084,99%,Anguilla,4.0,f +10586,,,1.0,t +39392,100%,France,1.0,f +3015,100%,Nicaragua,3.0,f +27293,75%,Maldives,1.0,f +1558,100%,,10.0,f +17215,97%,Maldives,9.0,f +41080,89%,Tonga,10.0,t +34560,0%,Puerto Rico,1.0,f +2754,100%,Philippines,1.0,f +4875,100%,Libyan Arab Jamahiriya,1.0,f +37778,92%,Tonga,24.0,f +47274,100%,Tonga,48.0,f +48663,,Niue,1.0,t +40784,100%,Niue,3.0,f +1146,95%,French Polynesia,9.0,f +16719,100%,Denmark,1.0,f +9847,,Guernsey,1.0,f +25687,100%,Anguilla,17.0,f +32123,,Fiji,1.0,f +46865,100%,,1.0,f +16785,,Isle of Man,1.0,t +43266,0%,Russian Federation,1.0,f +20334,99%,Niger,171.0,t +42310,100%,Ecuador,6.0,t +2376,50%,,1.0,f +968,100%,Portugal,6.0,f +11869,,,1.0,f +49133,100%,Reunion,3.0,t +26928,100%,,4.0,f +19697,100%,Brazil,3.0,f +968,100%,Portugal,6.0,f +29915,,El Salvador,1.0,f +20334,99%,Niger,171.0,t +8050,,Nicaragua,1.0,f +49551,100%,Maldives,1.0,f +38788,,Svalbard & Jan Mayen Islands,1.0,f +41995,100%,Reunion,5.0,f +14831,,Somalia,1.0,f +8899,,Isle of Man,1.0,f +22141,,Afghanistan,1.0,f +27156,100%,Somalia,1.0,t +35537,100%,Isle of Man,4.0,t +16496,97%,Maldives,4.0,f +6225,90%,Barbados,7.0,f +40972,100%,Micronesia,1.0,f +47479,100%,Russian Federation,1.0,t +47610,100%,Uzbekistan,10.0,f +27300,33%,Mauritania,1.0,f +15847,,Uganda,13.0,f +10720,100%,,1.0,f +17917,100%,,1.0,t +17820,100%,Montserrat,8.0,f +5107,100%,,1.0,f +37817,100%,Russian Federation,1.0,t +48102,96%,Indonesia,4.0,f +2322,100%,Denmark,2.0,f +17331,,Gambia,1.0,f +7502,100%,Croatia,1.0,f +2322,100%,Denmark,2.0,f +19891,,,2.0,t +20068,80%,Uzbekistan,5.0,t +45804,,Mauritania,1.0,f +27692,,Micronesia,1.0,f +9693,100%,Vanuatu,8.0,f +37567,,Estonia,2.0,f +27064,,,1.0,f +20633,,,1.0,f +4446,100%,Uganda,58.0,f +13343,100%,France,3.0,f +42583,100%,Sao Tome and Principe,5.0,f +42583,100%,Sao Tome and Principe,5.0,f +42583,100%,Sao Tome and Principe,5.0,f +6709,100%,Uganda,1.0,t +805,100%,,2.0,f +32676,100%,China,34.0,f +12247,100%,Maldives,33.0,f +23897,100%,Denmark,5.0,f +47100,75%,,1.0,f +30316,100%,Lebanon,2.0,f +3806,,,11.0,f +12247,100%,Maldives,33.0,f +11690,100%,Gambia,1.0,f +5692,,Uzbekistan,2.0,t +17532,100%,,1.0,t +42757,,Micronesia,1.0,f +2424,100%,Indonesia,1.0,f +19380,,United Kingdom,3.0,t +8002,100%,Papua New Guinea,4.0,f +4706,,Guinea,1.0,f +23544,,,1.0,f +19834,100%,Gambia,2.0,f +48117,98%,Ukraine,41.0,f +35484,,Lebanon,1.0,t +41100,100%,Croatia,2.0,t +39680,90%,Peru,1.0,t +48990,100%,Sao Tome and Principe,3.0,f +6564,,Uganda,9.0,f +37436,100%,Palestinian Territory,1.0,f +44934,100%,Philippines,17.0,f +18237,,,2.0,f +28205,,Iraq,22.0,f +28205,,Iraq,22.0,f +28205,,Iraq,22.0,f +28205,,Iraq,22.0,f +40893,100%,Nauru,3.0,f +28205,,Iraq,22.0,f +21109,100%,Nicaragua,1.0,f +7049,100%,Tonga,3.0,t +40919,100%,Zimbabwe,2.0,t +19811,90%,Nicaragua,21.0,t +13343,100%,France,3.0,f +16725,100%,Turkmenistan,3.0,t +16659,100%,,1.0,f +38213,100%,Guinea,1.0,t +16624,100%,Chile,1.0,t +12892,100%,,1.0,f +48582,0%,Guinea,1.0,f +36086,100%,Sao Tome and Principe,4.0,t +7528,,Mauritania,1.0,f +10262,,Portugal,2.0,t +17241,100%,,2.0,t +30850,100%,Finland,5.0,t +49816,100%,Denmark,1.0,f +7486,100%,,2.0,f +10391,100%,,1.0,f +19019,97%,Nicaragua,1484.0,f +45656,100%,Senegal,1.0,f +9922,100%,Papua New Guinea,1.0,f +18216,100%,Chile,1.0,f +37043,100%,Pakistan,11.0,f +19019,97%,Nicaragua,1484.0,f +19396,100%,Mauritania,1.0,f +36293,100%,Russian Federation,1.0,f +38656,100%,Mauritania,8.0,f +22283,100%,Gambia,1.0,f +42481,100%,Guinea,1.0,f +1542,33%,Russian Federation,1.0,f +719,100%,Estonia,1.0,f +12933,100%,,1.0,f +17770,100%,Turkmenistan,1.0,t +31274,98%,Cuba,7.0,f +31274,98%,Cuba,7.0,f +31274,98%,Cuba,7.0,f +11840,,Mauritania,1.0,f +16950,,Montserrat,1.0,f +30336,100%,Vietnam,2.0,t +30336,100%,Vietnam,2.0,t +38532,90%,,6.0,f +43472,,Korea,1.0,f +44586,85%,Ukraine,13.0,f +44586,85%,Ukraine,13.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +19019,97%,Nicaragua,1484.0,f +43081,100%,Estonia,1.0,f +19019,97%,Nicaragua,1484.0,f +37137,,Malta,2.0,t +9893,0%,,1.0,f +37640,100%,,1.0,f +6048,100%,Tonga,1.0,f +31238,100%,,1.0,t +8488,,Gambia,2.0,f +18484,100%,Gambia,108.0,f +8002,100%,Papua New Guinea,4.0,f +28601,100%,French Guiana,1.0,f +45688,,Kenya,10.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +4053,,Ecuador,6.0,f +41869,,Niue,4.0,t +23662,100%,Vanuatu,3.0,f +24205,100%,,1.0,f +49464,,Indonesia,2.0,f +48581,,Montserrat,8.0,t +7255,100%,Bouvet Island (Bouvetoya),8.0,t +32957,,Zimbabwe,1.0,f +42720,100%,Tanzania,1.0,f +29520,,Nicaragua,54.0,f +7765,100%,Niue,9.0,t +9611,93%,Chad,2.0,f +3763,100%,Mauritania,1.0,f +5179,,,12.0,f +28205,,Iraq,22.0,f +10042,,Indonesia,21.0,f +20334,99%,Niger,171.0,t +30786,,Uzbekistan,29.0,f +26088,90%,Lebanon,1.0,f +46284,100%,Nicaragua,2.0,t +29520,,Nicaragua,54.0,f +31274,98%,Cuba,7.0,f +31274,98%,Cuba,7.0,f +8002,100%,Papua New Guinea,4.0,f +11465,,Kenya,1.0,f +35790,100%,Malawi,1.0,f +14382,89%,Switzerland,1.0,f +23155,,,2.0,f +30114,96%,Djibouti,2.0,f +28828,100%,Isle of Man,198.0,t +10686,86%,Tonga,21.0,f +23620,100%,,1.0,f +20334,99%,Niger,171.0,t +48117,98%,Ukraine,41.0,f +22513,90%,Jersey,4.0,t +19184,94%,Barbados,2.0,f +18085,100%,Uganda,1.0,f +6424,100%,,1.0,f +17465,,Kenya,1.0,f +31594,100%,Philippines,19.0,t +8409,98%,Maldives,9.0,f +30193,100%,,1.0,t +48117,98%,Ukraine,41.0,f +18077,100%,Sao Tome and Principe,139.0,f +16206,100%,Croatia,1.0,f +23155,,,2.0,f +29801,100%,Isle of Man,1.0,f +46166,100%,Jersey,2.0,t +23674,100%,Slovakia (Slovak Republic),3.0,f +41995,100%,Reunion,5.0,f +29520,,Nicaragua,54.0,f +20843,100%,Russian Federation,1.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +20334,99%,Niger,171.0,t +40744,,,1.0,t +20165,94%,Ukraine,30.0,f +12992,100%,Ecuador,1.0,f +24993,67%,Canada,4.0,f +32277,,Russian Federation,2.0,t +10085,100%,Palestinian Territory,1.0,f +10451,,,3.0,t +15567,100%,Slovakia (Slovak Republic),4.0,f +31514,75%,Gibraltar,2.0,f +19417,100%,,1.0,f +20153,96%,Reunion,51.0,f +15176,,Vanuatu,10.0,f +30293,25%,Kiribati,1.0,f +32203,100%,Barbados,176.0,f +1146,95%,French Polynesia,9.0,f +1321,0%,Uzbekistan,2.0,f +8002,100%,Papua New Guinea,4.0,f +46190,100%,Togo,2.0,f +20153,96%,Reunion,51.0,f +40813,100%,Estonia,1.0,f +22249,,Malta,1.0,f +39078,100%,Isle of Man,2.0,f +49560,100%,,6.0,t +7255,100%,Bouvet Island (Bouvetoya),8.0,t +13164,33%,Mauritania,2.0,f +5210,,Ghana,2.0,f +13821,100%,United Kingdom,2.0,f +13164,33%,Mauritania,2.0,f +44834,97%,Guernsey,4.0,f +49771,100%,Turks and Caicos Islands,4.0,f +2686,,,1.0,f +25534,90%,Indonesia,5.0,t +44834,97%,Guernsey,4.0,f +22195,100%,Greenland,2.0,f +37016,100%,Greenland,6.0,f +42946,,Congo,1.0,f +39902,67%,Malta,1.0,f +11161,,French Polynesia,1.0,f +34651,100%,Djibouti,1.0,f +10728,,,2.0,f +21151,100%,Portugal,5.0,f +26451,100%,,1.0,f +4205,75%,,1.0,f +7626,100%,Tanzania,2.0,f +8346,100%,France,1.0,f +31274,98%,Cuba,7.0,f +17637,100%,Monaco,1.0,t +40395,,,2.0,f +13142,80%,France,2.0,f +5179,,,12.0,f +38656,100%,Mauritania,8.0,f +44834,97%,Guernsey,4.0,f +37639,100%,Nauru,11.0,f +17919,,Nicaragua,1.0,f +10351,98%,El Salvador,15.0,f +20269,100%,,1.0,f +8276,,Zimbabwe,2.0,f +3144,0%,Puerto Rico,1.0,f +29983,100%,Sao Tome and Principe,2.0,f +29983,100%,Sao Tome and Principe,2.0,f +857,,,1.0,f +3703,100%,Gambia,1.0,f +10015,,Bosnia and Herzegovina,8.0,f +38319,100%,Nicaragua,20.0,f +13385,100%,,1.0,f +6495,89%,Tonga,34.0,f +22092,100%,France,2.0,f +32203,100%,Barbados,176.0,f +6495,89%,Tonga,34.0,f +30973,,Finland,1.0,f +49076,97%,Kenya,12.0,t +32145,100%,Lithuania,1.0,f +7070,90%,Zimbabwe,1.0,f +6495,89%,Tonga,34.0,f +7904,,Gambia,1.0,f +48117,98%,Ukraine,41.0,f +30286,100%,Montserrat,39.0,f +6495,89%,Tonga,34.0,f +18396,,Uzbekistan,1.0,f +9395,,Guernsey,4.0,f +48756,100%,Maldives,59.0,f +39306,100%,Tanzania,1.0,f +29696,,China,1.0,f +999,100%,Malta,1.0,t +6495,89%,Tonga,34.0,f +48535,100%,El Salvador,2.0,f +46591,,French Guiana,1.0,f +5975,100%,Guinea,2.0,f +6495,89%,Tonga,34.0,f +6495,89%,Tonga,34.0,f +25747,,Zimbabwe,4.0,f +5714,90%,Pakistan,3.0,f +25002,,China,12.0,f +2416,100%,Guinea,5.0,f +16744,60%,Rwanda,5.0,f +7255,100%,Bouvet Island (Bouvetoya),8.0,t +43175,100%,El Salvador,1.0,f +17413,100%,Isle of Man,2.0,t +4326,100%,,11.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +23261,86%,Jersey,2.0,f +6495,89%,Tonga,34.0,f +962,,Reunion,4.0,t +16352,100%,French Guiana,1.0,t +23202,,Maldives,3.0,f +20694,100%,Sao Tome and Principe,1.0,t +14538,100%,Sao Tome and Principe,1.0,f +26123,,Tunisia,5.0,t +30599,100%,Turks and Caicos Islands,1.0,f +41564,100%,,1.0,t +32202,100%,,1.0,t +45993,100%,Gambia,1.0,f +23674,100%,Slovakia (Slovak Republic),3.0,f +24893,100%,Rwanda,9.0,f +41158,100%,Isle of Man,1.0,f +24893,100%,Rwanda,9.0,f +40784,100%,Niue,3.0,f +31202,90%,Kiribati,107.0,f +12955,100%,Micronesia,1.0,f +1104,,Zimbabwe,1.0,f +10015,,Bosnia and Herzegovina,8.0,f +7255,100%,Bouvet Island (Bouvetoya),8.0,t +24893,100%,Rwanda,9.0,f +5081,100%,Croatia,1.0,f +977,100%,French Guiana,1.0,f +18484,100%,Gambia,108.0,f +13632,100%,Russian Federation,1.0,t +5854,100%,Zimbabwe,1.0,f +25002,,China,12.0,f +26412,,Cape Verde,1.0,f +17399,100%,Uzbekistan,1.0,f +12026,,Chad,2.0,t +32039,,Guinea,5.0,f +325,,Guinea,9.0,f +36048,,,1.0,t +37138,100%,Senegal,2.0,t +25046,100%,Maldives,14.0,f +38376,100%,,1.0,t +14847,,Niue,1.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +34749,,Senegal,1.0,f +28844,100%,Rwanda,1.0,f +22698,100%,Congo,1.0,f +6495,89%,Tonga,34.0,f +43237,40%,Montserrat,24.0,f +15239,,Chile,1.0,f +10200,100%,Bahrain,2.0,t +37916,,,1.0,f +19941,80%,,2.0,f +968,100%,Portugal,6.0,f +43237,40%,Montserrat,24.0,f +12018,,,1.0,t +41741,100%,Brazil,9.0,t +7264,100%,Philippines,9.0,f +2585,100%,Svalbard & Jan Mayen Islands,20.0,t +20989,100%,Marshall Islands,8.0,f +19242,60%,Lithuania,2.0,t +13215,100%,,1.0,f +9419,70%,Brazil,2.0,f +34080,,Zimbabwe,1.0,t +24513,,Rwanda,2.0,f +17358,100%,,3.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +48172,100%,Tunisia,1.0,t +46604,,Ghana,3.0,t +45328,97%,Kiribati,10.0,f +44540,67%,,1.0,t +19133,,Rwanda,2.0,f +9959,100%,Tanzania,2.0,f +12003,100%,Uganda,8.0,t +49947,,Andorra,1.0,t +9841,100%,,1.0,f +46155,,Anguilla,2.0,f +30580,97%,Montserrat,12.0,f +11501,90%,,1.0,f +16801,100%,,1.0,f +20723,100%,Turkmenistan,1.0,f +30482,90%,France,1.0,f +23576,100%,,3.0,f +7263,100%,,1.0,f +37778,92%,Tonga,24.0,f +23393,100%,Denmark,2.0,f +6495,89%,Tonga,34.0,f +32203,100%,Barbados,176.0,f +40793,100%,,75.0,t +29701,98%,Vietnam,3.0,f +35980,100%,,2.0,f +22916,,Isle of Man,1.0,f +13047,,Guinea,1.0,f +37607,100%,Nicaragua,1.0,f +46944,,Estonia,1.0,f +45872,33%,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +19368,100%,,1.0,f +19811,90%,Nicaragua,21.0,t +16133,100%,,2.0,f +5834,100%,Marshall Islands,2.0,f +27960,69%,Suriname,6.0,f +28280,100%,,2.0,t +33132,100%,Costa Rica,1.0,t +15214,,Maldives,1.0,t +18484,100%,Gambia,108.0,f +1929,100%,Niue,7.0,t +29520,,Nicaragua,54.0,f +9483,100%,,2.0,f +22837,100%,Gambia,1.0,f +6354,,,1.0,f +33504,,Croatia,1.0,t +42869,,El Salvador,9.0,f +47333,100%,Niue,4.0,f +44862,100%,Djibouti,12.0,f +25222,80%,Kenya,11.0,t +25476,100%,Fiji,11.0,f +35354,100%,Micronesia,1.0,f +33259,,,1.0,f +24829,,China,2.0,t +29102,100%,,1.0,f +3389,100%,Estonia,13.0,f +17820,100%,Montserrat,8.0,f +28322,,,2.0,f +27960,69%,Suriname,6.0,f +44645,100%,Marshall Islands,2.0,t +21894,100%,Zimbabwe,1.0,t +45062,100%,Saint Helena,1.0,f +4758,100%,Uganda,1.0,f +32156,,Guernsey,1.0,f +42000,100%,,3.0,f +30804,93%,Andorra,2.0,f +1230,,Croatia,4.0,f +25211,,Isle of Man,1.0,f +27960,69%,Suriname,6.0,f +39132,,,9.0,f +39132,,,9.0,f +39132,,,9.0,f +39132,,,9.0,f +39132,,,9.0,f +39132,,,9.0,f +39132,,,9.0,f +39132,,,9.0,f +37523,68%,,3.0,f +39132,,,9.0,f +37523,68%,,3.0,f +37523,68%,,3.0,f +27080,85%,Ecuador,5.0,f +900,,,5.0,f +900,,,5.0,f +900,,,5.0,f +76,96%,Togo,7.0,f +900,,,5.0,f +900,,,5.0,f +32021,100%,Uganda,1.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +16392,100%,Jersey,1.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +7767,50%,,11.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +7767,50%,,11.0,f +7767,50%,,11.0,f +2563,100%,Niger,1.0,f +19543,,Bosnia and Herzegovina,5.0,f +40303,100%,Guinea,82.0,f +48525,,Afghanistan,3.0,f +968,100%,Portugal,6.0,f +42060,100%,Zimbabwe,1.0,t +30764,100%,Slovakia (Slovak Republic),8.0,t +968,100%,Portugal,6.0,f +29591,100%,,4.0,f +8952,100%,Montserrat,4.0,t +26474,100%,Guinea,4.0,f +5901,0%,Lithuania,1.0,f +7110,100%,Kiribati,1.0,f +34148,100%,,1.0,f +45134,70%,Kiribati,3.0,f +15291,100%,,3.0,f +12398,,Malta,1.0,f +22679,100%,Barbados,5.0,f +9388,100%,,2.0,t +48288,100%,Papua New Guinea,1.0,f +46366,100%,Isle of Man,1.0,t +11901,100%,Bouvet Island (Bouvetoya),1.0,f +35226,50%,,1.0,f +41698,100%,Gibraltar,1.0,f +49610,0%,,1.0,f +32556,90%,Estonia,11.0,t +15681,100%,,1.0,f +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +41720,100%,Senegal,1.0,f +44127,100%,Rwanda,1.0,t +26436,100%,,1.0,t +45639,100%,Russian Federation,2.0,f +20153,96%,Reunion,51.0,f +44901,100%,Bouvet Island (Bouvetoya),5.0,f +44901,100%,Bouvet Island (Bouvetoya),5.0,f +7415,100%,Uzbekistan,8.0,f +25460,100%,Maldives,13.0,f +44276,100%,Togo,13.0,t +30006,100%,,1.0,f +5654,,,1.0,f +34522,100%,,1.0,t +38128,,Reunion,2.0,f +8439,97%,Rwanda,17.0,t +32621,,Nauru,1.0,f +33735,,,1.0,f +30435,99%,Cape Verde,41.0,f +3554,100%,El Salvador,1.0,f +43881,,,1.0,f +9802,,Indonesia,38.0,t +50098,,Marshall Islands,2.0,f +76,96%,Togo,7.0,f +76,96%,Togo,7.0,f +15223,100%,Maldives,1.0,f +33983,100%,,1.0,f +47732,100%,,2.0,f +48409,,Estonia,60.0,t +49566,100%,Gambia,3.0,f +34868,100%,,3.0,f +45081,,,2.0,t +37646,100%,Estonia,60.0,f +22112,90%,,1.0,f +28353,,,1.0,f +36281,100%,Maldives,1.0,f +37036,94%,Estonia,9.0,f +29116,100%,El Salvador,19.0,t +9802,,Indonesia,38.0,t +9802,,Indonesia,38.0,t +9802,,Indonesia,38.0,t +9802,,Indonesia,38.0,t +9802,,Indonesia,38.0,t +36157,100%,Tonga,6.0,t +9802,,Indonesia,38.0,t +41842,,Portugal,2.0,f +9802,,Indonesia,38.0,t +37231,100%,Russian Federation,1.0,f +31373,,,1.0,f +49275,,,1.0,f +26259,100%,Kenya,2.0,t +43316,100%,Indonesia,23.0,f +24184,100%,Kiribati,1.0,f +21240,94%,Niger,130.0,f +5163,100%,,1.0,f +6495,89%,Tonga,34.0,f +20165,94%,Ukraine,30.0,f +33970,100%,,1.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +43316,100%,Indonesia,23.0,f +22077,100%,Mauritania,10.0,f +21240,94%,Niger,130.0,f +20334,99%,Niger,171.0,t +6495,89%,Tonga,34.0,f +22077,100%,Mauritania,10.0,f +27350,100%,,2.0,f +21240,94%,Niger,130.0,f +44169,97%,Portugal,39.0,f +43316,100%,Indonesia,23.0,f +43801,100%,Nauru,1.0,f +4781,,Ghana,2.0,f +6495,89%,Tonga,34.0,f +24071,100%,Indonesia,22.0,f +39843,100%,Switzerland,3.0,t +43834,99%,Uganda,13.0,f +16377,,Gambia,5.0,f +48117,98%,Ukraine,41.0,f +3504,100%,Isle of Man,2.0,t +49388,100%,Vietnam,4.0,t +14546,100%,Gibraltar,1.0,f +40772,80%,Estonia,4.0,f +47633,100%,Reunion,4.0,t +16295,96%,Philippines,5.0,f +22371,71%,Svalbard & Jan Mayen Islands,3.0,f +4856,100%,Philippines,5.0,f +35030,,Kenya,1.0,f +8912,,Lebanon,4.0,f +39726,67%,,1.0,f +38789,100%,,1.0,f +27885,,,1.0,f +3477,100%,Turks and Caicos Islands,1.0,f +3022,,,1.0,f +22376,100%,Vanuatu,6.0,f +19380,,United Kingdom,3.0,t +19380,,United Kingdom,3.0,t +28332,100%,,1.0,f +15095,100%,,1.0,f +14129,100%,,1.0,t +13373,100%,Denmark,2.0,f +6445,100%,Gambia,1.0,f +28372,100%,Indonesia,12.0,f +17101,100%,Croatia,1.0,t +47787,,,1.0,t +33749,93%,Mauritania,7.0,f +16666,100%,Mauritania,1.0,f +5185,0%,Gambia,12.0,f +34877,,,2.0,f +364,,,4.0,f +44537,100%,Tonga,7.0,f +12557,,,1.0,f +1387,,Philippines,4.0,f +33386,100%,Zimbabwe,1.0,f +18696,100%,Brazil,4.0,f +18696,100%,Brazil,4.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +25460,100%,Maldives,13.0,f +41518,100%,Montserrat,13.0,t +9143,100%,,1.0,f +42472,100%,,1.0,f +5420,100%,Tonga,41.0,f +31652,100%,Kenya,8.0,t +47655,,Sao Tome and Principe,1.0,f +13212,100%,Zimbabwe,12.0,t +29437,67%,,1.0,t +13117,0%,,1.0,f +39109,77%,Ukraine,24.0,t +31008,100%,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +36677,100%,Maldives,6.0,f +3753,,Niue,1.0,f +33134,83%,,1.0,f +36677,100%,Maldives,6.0,f +48330,,Anguilla,1.0,t +40303,100%,Guinea,82.0,f +5684,100%,Jersey,1.0,f +20606,100%,Congo,6.0,t +43129,100%,,1.0,f +6232,,Guinea,15.0,t +48755,,Rwanda,1.0,f +22077,100%,Mauritania,10.0,f +29520,,Nicaragua,54.0,f +34091,100%,Indonesia,1.0,t +4065,100%,Reunion,2.0,f +32893,100%,,1.0,f +20263,99%,Maldives,35.0,t +2232,100%,Russian Federation,1.0,f +35328,100%,Tunisia,7.0,f +4267,100%,Senegal,22.0,t +26941,100%,,1.0,f +40303,100%,Guinea,82.0,f +28414,100%,Uzbekistan,22.0,f +13018,100%,Guernsey,4.0,t +18484,100%,Gambia,108.0,f +41600,100%,Somalia,2.0,f +39143,89%,,33.0,f +8612,100%,,1.0,f +16289,,Portugal,3.0,t +50020,100%,Somalia,2.0,f +40303,100%,Guinea,82.0,f +29123,100%,Zimbabwe,16.0,t +14561,100%,Indonesia,1.0,f +7264,100%,Philippines,9.0,f +45411,,,1.0,f +19855,100%,Kiribati,37.0,t +24594,100%,Rwanda,14.0,f +18484,100%,Gambia,108.0,f +30435,99%,Cape Verde,41.0,f +19293,,,1.0,f +4446,100%,Uganda,58.0,f +10962,100%,Sao Tome and Principe,3.0,t +34027,100%,,1.0,f +42493,100%,,2.0,t +48973,100%,Tonga,6.0,f +39143,89%,,33.0,f +39143,89%,,33.0,f +39143,89%,,33.0,f +43828,100%,Malta,1.0,f +7571,33%,Kiribati,2.0,f +31618,100%,Maldives,1.0,f +21446,100%,,2.0,f +50083,,Guinea,1.0,f +10351,98%,El Salvador,15.0,f +22593,100%,,1.0,f +47563,100%,,1.0,t +49105,100%,Malta,3.0,f +44169,97%,Portugal,39.0,f +13598,100%,Uzbekistan,1.0,f +31873,99%,Uzbekistan,22.0,f +28205,,Iraq,22.0,f +18364,100%,Russian Federation,1.0,f +5338,,,1.0,f +29081,98%,Uzbekistan,18.0,f +4603,100%,Nicaragua,2.0,f +7002,100%,Tanzania,1.0,f +18139,100%,,3.0,f +7784,,Chad,1.0,t +19414,100%,Isle of Man,1.0,f +37299,,Estonia,2.0,f +36288,100%,Marshall Islands,1.0,f +9516,99%,Pakistan,45.0,t +29081,98%,Uzbekistan,18.0,f +21047,,Denmark,1.0,f +41600,100%,Somalia,2.0,f +32345,90%,Andorra,1.0,t +29081,98%,Uzbekistan,18.0,f +46080,,Chad,1.0,f +29081,98%,Uzbekistan,18.0,f +41261,25%,American Samoa,1.0,f +10275,100%,Cook Islands,1.0,f +4446,100%,Uganda,58.0,f +17501,100%,Cape Verde,1.0,f +9516,99%,Pakistan,45.0,t +18139,100%,,3.0,f +1154,,Sao Tome and Principe,1.0,f +34356,100%,Palestinian Territory,2.0,t +40574,92%,Lithuania,1.0,f +34981,,Turks and Caicos Islands,3.0,f +185,100%,,1.0,f +25202,100%,Cuba,3.0,f +39111,,Gibraltar,1.0,f +4130,,Maldives,7.0,f +4852,,Rwanda,1.0,f +15454,100%,Denmark,1.0,f +19227,33%,,1.0,f +19442,100%,Kenya,3.0,f +43843,100%,Nicaragua,1.0,f +9226,,Mauritania,5.0,f +28958,100%,Malta,2.0,f +15292,,Barbados,4.0,t +34981,,Turks and Caicos Islands,3.0,f +15177,100%,Turkmenistan,1.0,f +15995,100%,Papua New Guinea,1.0,t +26219,100%,Zimbabwe,2.0,f +10764,100%,Guinea,1.0,f +37661,,,1.0,f +33749,93%,Mauritania,7.0,f +44109,100%,United Kingdom,20.0,f +25934,100%,Estonia,7.0,f +31241,100%,,1.0,t +18696,100%,Brazil,4.0,f +40010,100%,Guinea,2.0,t +25858,50%,Faroe Islands,1.0,t +18696,100%,Brazil,4.0,f +44586,85%,Ukraine,13.0,f +29718,100%,Philippines,6.0,t +12793,100%,,1.0,f +29718,100%,Philippines,6.0,t +43450,,Isle of Man,1.0,f +44169,97%,Portugal,39.0,f +7955,,,1.0,f +41987,100%,Malta,2.0,t +17216,100%,Ecuador,2.0,t +27937,,,4.0,f +20402,100%,Senegal,4.0,f +28958,100%,Malta,2.0,f +20789,98%,Sao Tome and Principe,13.0,f +19111,100%,Isle of Man,2.0,f +26194,,,1.0,t +1855,57%,Suriname,1.0,t +46320,100%,Marshall Islands,1.0,f +27937,,,4.0,f +23989,100%,Russian Federation,3.0,t +32010,100%,Sao Tome and Principe,1.0,t +11758,,,2.0,t +21162,90%,,1.0,f +37753,100%,Togo,2.0,f +39377,100%,Ukraine,11.0,t +7222,100%,,2.0,f +27937,,,4.0,f +15759,,Tonga,4.0,t +34015,91%,Senegal,1.0,f +10682,100%,Isle of Man,1.0,f +49168,,Kenya,2.0,t +3735,100%,,1.0,t +48338,100%,Maldives,4.0,t +21861,100%,Cuba,2.0,f +40893,100%,Nauru,3.0,f +15252,100%,,4.0,f +10686,86%,Tonga,21.0,f +12244,100%,Djibouti,1.0,f +162,100%,Papua New Guinea,2.0,f +36119,62%,Isle of Man,1.0,t +11019,100%,,1.0,f +35328,100%,Tunisia,7.0,f +21176,75%,Kenya,2.0,t +35328,100%,Tunisia,7.0,f +16289,,Portugal,3.0,t +8781,,,1.0,f +38301,90%,Spain,2.0,f +29751,100%,Marshall Islands,1.0,f +12408,100%,Chad,1.0,f +33396,,Chile,1.0,t +26465,100%,,1.0,f +11758,,,2.0,t +10567,100%,,1.0,f +19214,100%,Senegal,55.0,f +21632,100%,Wallis and Futuna,2.0,f +42775,,Rwanda,2.0,t +17588,100%,Ukraine,6.0,t +3838,100%,Monaco,2.0,f +39874,100%,Afghanistan,1.0,f +1125,100%,Kenya,1.0,t +17938,100%,Montserrat,4.0,f +43011,100%,Wallis and Futuna,6.0,f +48453,,,1.0,f +14720,100%,Korea,2.0,f +37829,100%,Papua New Guinea,1.0,f +18868,100%,Togo,4.0,f +33088,100%,,1.0,f +1824,100%,,4.0,t +13628,100%,,1.0,f +48710,80%,Libyan Arab Jamahiriya,1.0,f +13369,100%,Montserrat,2.0,f +10294,100%,Puerto Rico,1.0,f +35922,100%,Switzerland,5.0,t +39715,100%,Guinea,2.0,f +27053,,Sao Tome and Principe,1.0,t +9630,100%,,13.0,f +9630,100%,,13.0,f +15795,,,1.0,f +10397,100%,Guernsey,3.0,f +36421,100%,Lebanon,4.0,t +9630,100%,,13.0,f +9630,100%,,13.0,f +10397,100%,Guernsey,3.0,f +43659,98%,Maldives,14.0,f +9630,100%,,13.0,f +5548,,,1.0,t +8490,100%,Andorra,1.0,f +31041,96%,Ecuador,35.0,f +31652,100%,Kenya,8.0,t +31033,100%,Svalbard & Jan Mayen Islands,1.0,f +48277,100%,Rwanda,4.0,f +41664,100%,Zimbabwe,1.0,f +7312,100%,,2.0,f +31594,100%,Philippines,19.0,t +17792,,Niue,1.0,f +39829,100%,,1.0,f +13996,93%,Brazil,1.0,f +43659,98%,Maldives,14.0,f +10346,100%,Barbados,1.0,t +19716,100%,,3.0,t +2193,98%,,7.0,f +47829,75%,,1.0,t +34059,100%,,2.0,f +32869,100%,Monaco,1.0,t +7312,100%,,2.0,f +2193,98%,,7.0,f +9802,,Indonesia,38.0,t +12203,100%,Niue,1.0,f +29647,100%,Peru,1305.0,f +34676,100%,,4.0,t +29647,100%,Peru,1305.0,f +25861,100%,France,1.0,f +27960,69%,Suriname,6.0,f +18484,100%,Gambia,108.0,f +36783,100%,Guinea,1.0,f +31017,,,1.0,f +13101,100%,Jersey,1.0,t +15140,100%,Isle of Man,2.0,f +2999,,,1.0,f +32664,100%,Congo,4.0,f +7639,,Tonga,5.0,f +4725,,,1.0,f +34288,100%,Gibraltar,1.0,f +27268,100%,,1.0,f +41856,100%,Maldives,13.0,t +14241,100%,,1.0,t +11867,90%,,1.0,f +17812,,Niger,1.0,f +10600,100%,Zimbabwe,1.0,f +27960,69%,Suriname,6.0,f +8807,100%,Marshall Islands,2.0,t +7381,100%,Micronesia,1.0,f +17723,100%,Nicaragua,1.0,f +38293,90%,,1.0,f +26794,100%,Lithuania,1.0,f +150,,Marshall Islands,2.0,f +49121,100%,Mauritania,1.0,f +29520,,Nicaragua,54.0,f +5135,100%,Niue,1.0,f +12247,100%,Maldives,33.0,f +25002,,China,12.0,f +12247,100%,Maldives,33.0,f +3317,100%,Uzbekistan,1.0,f +12247,100%,Maldives,33.0,f +260,,,1.0,t +9421,100%,,5.0,f +12247,100%,Maldives,33.0,f +45501,100%,Kiribati,7.0,f +17230,,French Guiana,1.0,f +43777,100%,Denmark,18.0,f +1957,100%,,1.0,f +19703,100%,,1.0,f +33619,100%,Sao Tome and Principe,1.0,f +24391,,Lebanon,1.0,t +18975,75%,,1.0,f +43286,,Fiji,8.0,t +25429,93%,Zimbabwe,3.0,f +12098,,Isle of Man,1.0,f +18915,,Aruba,2.0,f +8747,,Maldives,1.0,f +45561,,,1.0,f +47390,100%,Svalbard & Jan Mayen Islands,1.0,t +15078,,Vietnam,8.0,f +40239,,Lebanon,1.0,t +12254,100%,Marshall Islands,1.0,f +14112,,Bouvet Island (Bouvetoya),1.0,f +41082,100%,Senegal,3.0,f +10351,98%,El Salvador,15.0,f +41082,100%,Senegal,3.0,f +5039,100%,Djibouti,1.0,f +31416,100%,,2.0,f +49615,100%,,1.0,t +15495,100%,Marshall Islands,1.0,f +34972,,Greenland,4.0,f +9848,100%,Malawi,1.0,t +37847,,Kiribati,1.0,f +455,100%,Uganda,5.0,f +8154,100%,,4.0,f +45456,,Brazil,1.0,f +13343,100%,France,3.0,f +3241,90%,Sao Tome and Principe,1.0,t +8674,,,1.0,f +27937,,,4.0,f +1982,100%,,2.0,t +29520,,Nicaragua,54.0,f +39143,89%,,33.0,f +10716,100%,Bosnia and Herzegovina,1.0,f +10351,98%,El Salvador,15.0,f +1054,100%,Guinea,20.0,f +22117,100%,Tonga,1.0,f +42129,,Chile,1.0,t +3922,100%,Maldives,8.0,t +5615,100%,Guinea,5.0,f +14124,100%,,2.0,t +26474,100%,Guinea,4.0,f +14699,67%,Turkmenistan,1.0,t +18130,,Kenya,1.0,f +47627,100%,Uzbekistan,1.0,t +40303,100%,Guinea,82.0,f +44006,100%,Russian Federation,1.0,f +33098,,Congo,1.0,f +27493,,,1.0,f +24071,100%,Indonesia,22.0,f +3427,,Monaco,1.0,f +48092,100%,Tonga,5.0,f +29520,,Nicaragua,54.0,f +26605,,Slovakia (Slovak Republic),2.0,f +19091,95%,Cook Islands,18.0,t +1054,100%,Guinea,20.0,f +43321,100%,France,40.0,f +5265,100%,Croatia,1.0,f +24610,90%,,1.0,f +27922,100%,Wallis and Futuna,1.0,t +25429,93%,Zimbabwe,3.0,f +29665,93%,,3.0,f +4478,100%,,2.0,f +24234,,Micronesia,1.0,t +33669,100%,Malta,2.0,t +25747,,Zimbabwe,4.0,f +47122,,,1.0,f +30286,100%,Montserrat,39.0,f +29520,,Nicaragua,54.0,f +5481,,El Salvador,1.0,t +1808,,Chad,2.0,t +38120,100%,Russian Federation,4.0,t +9802,,Indonesia,38.0,t +544,,Afghanistan,1.0,f +12950,100%,,3.0,f +50025,40%,Bahrain,1.0,f +22331,99%,Rwanda,50.0,t +33886,,Gambia,9.0,t +38160,25%,Nicaragua,1.0,f +10732,,Uganda,5.0,f +20423,67%,Philippines,3.0,f +22331,99%,Rwanda,50.0,t +43359,100%,Lithuania,2.0,f +43359,100%,Lithuania,2.0,f +7756,70%,Isle of Man,2.0,t +11195,100%,Marshall Islands,1.0,f +34740,100%,Peru,1.0,f +4267,100%,Senegal,22.0,t +1054,100%,Guinea,20.0,f +5420,100%,Tonga,41.0,f +40303,100%,Guinea,82.0,f +9383,100%,Sao Tome and Principe,1.0,f +38698,100%,France,2.0,t +1207,100%,Nicaragua,7.0,f +14568,80%,,2.0,f +22036,100%,Mauritania,1.0,t +22596,90%,Russian Federation,8.0,f +28414,100%,Uzbekistan,22.0,f +40689,100%,Cuba,23.0,f +24071,100%,Indonesia,22.0,f +32243,,Nicaragua,1.0,f +11452,,Sao Tome and Principe,1.0,f +47894,100%,Turks and Caicos Islands,3.0,f +37167,,Nicaragua,2.0,f +39283,100%,Uganda,13.0,f +8814,80%,,1.0,f +756,100%,Micronesia,1.0,f +43072,100%,Jersey,1.0,f +16165,,France,3.0,f +28810,50%,Vanuatu,1.0,f +23389,100%,Niue,1.0,f +37778,92%,Tonga,24.0,f +8034,100%,Uganda,2.0,f +22251,100%,Gambia,11.0,f +12950,100%,,3.0,f +34562,99%,Tonga,9.0,f +7778,100%,Mauritania,7.0,t +47824,,Chad,1.0,t +37778,92%,Tonga,24.0,f +34852,,Niue,10.0,t +29520,,Nicaragua,54.0,f +28647,70%,French Guiana,2.0,t +781,,Nicaragua,1.0,t +22293,90%,Mauritania,2.0,t +46669,86%,Brazil,11.0,f +3790,100%,Netherlands,16.0,f +4660,,Gambia,1.0,f +7696,97%,Russian Federation,7.0,t +42715,100%,Niue,6.0,t +44654,,Maldives,3.0,f +10438,95%,,1.0,t +1054,100%,Guinea,20.0,f +41738,,Jersey,1.0,f +11071,90%,,2.0,f +20329,100%,Reunion,21.0,f +42331,90%,Kiribati,1.0,f +34357,100%,Montserrat,3.0,f +29520,,Nicaragua,54.0,f +18139,100%,,3.0,f +28343,100%,Costa Rica,1.0,f +46822,98%,,12.0,f +8409,98%,Maldives,9.0,f +43577,100%,United Kingdom,1.0,t +12901,,Lebanon,1.0,f +38449,,Ghana,1.0,f +13288,90%,Jersey,3.0,f +40421,96%,Jersey,29.0,t +10202,89%,Nicaragua,10.0,f +1054,100%,Guinea,20.0,f +29758,,Micronesia,2.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +47334,,Isle of Man,1.0,f +20153,96%,Reunion,51.0,f +43424,,Russian Federation,2.0,f +22371,71%,Svalbard & Jan Mayen Islands,3.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +20165,94%,Ukraine,30.0,f +20153,96%,Reunion,51.0,f +21283,100%,Kenya,2.0,f +29438,,,1.0,t +18242,,Bouvet Island (Bouvetoya),12.0,f +37735,100%,Uganda,13.0,t +33008,,Lebanon,1.0,f +25460,100%,Maldives,13.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +1328,,Kenya,2.0,f +34382,100%,Micronesia,2.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +45487,100%,,1.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +9836,100%,Mauritania,2.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +3469,0%,Faroe Islands,1.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +15368,,,85.0,f +1146,95%,French Polynesia,9.0,f +11330,,,1.0,f +40555,100%,,1.0,t +42306,,United Kingdom,1.0,t +1534,80%,Uzbekistan,3.0,t +39283,100%,Uganda,13.0,f +30025,,,1.0,t +14109,100%,Indonesia,2.0,t +32481,100%,Uzbekistan,1.0,t +5615,100%,Guinea,5.0,f +13553,93%,Vietnam,5.0,f +8355,87%,Togo,16.0,f +39271,90%,Maldives,2.0,f +16520,100%,Marshall Islands,22.0,f +7918,,Togo,2.0,f +14714,100%,,3.0,t +595,100%,Somalia,1.0,t +21477,100%,,1.0,f +45521,100%,Isle of Man,1.0,f +5759,100%,,1.0,f +35105,100%,Gambia,4.0,f +38656,100%,Mauritania,8.0,f +42370,100%,Marshall Islands,6.0,f +22755,,,8.0,t +38656,100%,Mauritania,8.0,f +17681,100%,,1.0,t +2919,100%,Cape Verde,2.0,f +28254,77%,,2.0,t +14319,,Afghanistan,1.0,f +35806,,Niue,3.0,f +4217,,Kenya,52.0,f +24033,100%,Uganda,45.0,f +37742,100%,,1.0,f +38073,100%,Bahrain,1.0,f +29647,100%,Peru,1305.0,f +6838,96%,Spain,59.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +19317,,Russian Federation,1.0,f +25581,,Turkmenistan,1.0,f +16651,100%,Guinea,21.0,f +8355,87%,Togo,16.0,f +34671,100%,Montserrat,3.0,f +12982,100%,,1.0,f +34089,100%,Chad,2.0,f +42751,,Russian Federation,1.0,f +35813,100%,Kiribati,1.0,f +18484,100%,Gambia,108.0,f +24594,100%,Rwanda,14.0,f +42014,69%,China,17.0,f +24594,100%,Rwanda,14.0,f +40364,100%,Tonga,25.0,f +2755,100%,Finland,1.0,f +34089,100%,Chad,2.0,f +16651,100%,Guinea,21.0,f +2845,,Kiribati,9.0,f +48409,,Estonia,60.0,t +36945,100%,Mauritania,1.0,f +5881,100%,Kiribati,2.0,f +2845,,Kiribati,9.0,f +42014,69%,China,17.0,f +2845,,Kiribati,9.0,f +16016,100%,Finland,1.0,f +48409,,Estonia,60.0,t +45029,100%,Maldives,1.0,f +8409,98%,Maldives,9.0,f +36206,86%,Russian Federation,10.0,f +37646,100%,Estonia,60.0,f +48554,100%,Gibraltar,1.0,f +7393,100%,Holy See (Vatican City State),2.0,t +12410,100%,Uzbekistan,4.0,t +6223,100%,Marshall Islands,12.0,f +14514,,China,80.0,t +6223,100%,Marshall Islands,12.0,f +10042,,Indonesia,21.0,f +25046,100%,Maldives,14.0,f +16935,0%,Anguilla,2.0,f +7688,100%,,1.0,t +34042,100%,Marshall Islands,37.0,f +37778,92%,Tonga,24.0,f +35160,100%,Papua New Guinea,1.0,f +26914,50%,Anguilla,1.0,f +19879,99%,Guinea,19.0,f +9427,100%,Marshall Islands,3.0,f +4267,100%,Senegal,22.0,t +5591,99%,Indonesia,16.0,t +16651,100%,Guinea,21.0,f +14396,70%,Isle of Man,2.0,f +37858,92%,Anguilla,7.0,f +12410,100%,Uzbekistan,4.0,t +41493,100%,Gambia,5.0,f +19879,99%,Guinea,19.0,f +849,,Costa Rica,1.0,f +41450,33%,,1.0,f +10450,70%,Cape Verde,4.0,t +19933,,Guernsey,1.0,f +21183,,Malawi,1.0,f +11779,100%,Guinea,1.0,f +20514,100%,,1.0,f +23034,99%,Monaco,54.0,f +42125,97%,Tonga,4.0,f +19655,100%,Tonga,13.0,t +42215,,Bosnia and Herzegovina,5.0,f +33345,100%,Kenya,2.0,f +50051,100%,Netherlands,5.0,t +24594,100%,Rwanda,14.0,f +25738,90%,,1.0,f +26915,100%,France,2.0,t +13285,100%,United Kingdom,1.0,f +40947,100%,French Guiana,2.0,t +36913,,,1.0,f +24478,,,1.0,t +15132,100%,Jersey,1.0,t +25668,100%,Jersey,12.0,t +14368,70%,,1.0,f +39328,,Sao Tome and Principe,3.0,t +17588,100%,Ukraine,6.0,t +19655,100%,Tonga,13.0,t +48426,,Denmark,1.0,f +1904,,Gambia,2.0,f +3349,,Mauritania,1.0,f +48612,100%,,1.0,f +23469,100%,Nicaragua,116.0,f +12789,100%,Denmark,1.0,f +19879,99%,Guinea,19.0,f +14358,100%,Maldives,9.0,f +16009,100%,,1.0,f +48340,,Turkmenistan,1.0,t +42326,80%,Papua New Guinea,10.0,t +47732,100%,,2.0,f +11941,,Bosnia and Herzegovina,1.0,f +24923,,,1.0,t +31922,100%,Nicaragua,1.0,f +42164,100%,,6.0,f +16970,100%,,1.0,f +3906,,Anguilla,1.0,f +6436,100%,,1.0,f +18454,100%,Nicaragua,5.0,t +34587,,Isle of Man,22.0,t +13288,90%,Jersey,3.0,f +14234,100%,,1.0,f +47069,100%,France,1.0,f +12957,100%,Lithuania,2.0,f +19879,99%,Guinea,19.0,f +44169,97%,Portugal,39.0,f +1768,,Malawi,2.0,t +32203,100%,Barbados,176.0,f +49874,100%,Venezuela,1.0,f +42164,100%,,6.0,f +21709,100%,Maldives,2.0,f +13033,80%,Moldova,3.0,t +46627,,Isle of Man,2.0,t +30286,100%,Montserrat,39.0,f +46071,89%,Niue,2.0,f +42164,100%,,6.0,f +14157,20%,Congo,3.0,f +14514,,China,80.0,t +49107,100%,Lebanon,1.0,f +4485,95%,China,7.0,t +28446,100%,Holy See (Vatican City State),1.0,t +42164,100%,,6.0,f +25148,50%,Uzbekistan,1.0,t +1543,100%,Tonga,1.0,f +29520,,Nicaragua,54.0,f +21199,90%,,1.0,f +46866,100%,Kiribati,3.0,t +48409,,Estonia,60.0,t +19275,100%,Guinea,1.0,t +25266,100%,Lebanon,1.0,f +48409,,Estonia,60.0,t +14514,,China,80.0,t +46627,,Isle of Man,2.0,t +41201,90%,Mauritania,1.0,f +15292,,Barbados,4.0,t +45064,98%,Anguilla,15.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +18484,100%,Gambia,108.0,f +20060,,Guernsey,5.0,t +39078,100%,Isle of Man,2.0,f +30811,90%,Somalia,1.0,f +47333,100%,Niue,4.0,f +42392,100%,Greenland,4.0,f +7872,100%,Estonia,1.0,f +15222,,Monaco,1.0,f +36605,,Sao Tome and Principe,4.0,t +25792,75%,,1.0,f +36605,,Sao Tome and Principe,4.0,t +27376,,,1.0,f +5966,100%,Zimbabwe,1.0,f +16346,100%,Montserrat,2.0,f +44404,,Guinea,1.0,f +12392,100%,Vanuatu,1.0,f +909,100%,Croatia,18.0,t +9714,,Finland,1.0,f +2652,100%,,1.0,f +909,100%,Croatia,18.0,t +11792,100%,,3.0,f +909,100%,Croatia,18.0,t +32503,100%,Kiribati,1.0,f +909,100%,Croatia,18.0,t +6333,,,1.0,f +15078,,Vietnam,8.0,f +17662,100%,Estonia,2.0,f +18868,100%,Togo,4.0,f +18868,100%,Togo,4.0,f +32458,92%,Vietnam,4.0,f +17588,100%,Ukraine,6.0,t +17588,100%,Ukraine,6.0,t +17588,100%,Ukraine,6.0,t +28828,100%,Isle of Man,198.0,t +48248,88%,Vanuatu,1.0,f +40898,,San Marino,1.0,f +28828,100%,Isle of Man,198.0,t +37166,56%,,1.0,t +3254,,Tonga,16.0,t +43695,100%,Malta,2.0,f +4685,43%,Fiji,1.0,f +26559,,Guinea,4.0,t +2930,100%,Niue,2.0,f +28443,,,1.0,f +29103,90%,Niue,1.0,t +18933,75%,Venezuela,10.0,f +37858,92%,Anguilla,7.0,f +17040,,,1.0,f +23642,100%,Holy See (Vatican City State),5.0,f +7183,50%,,3.0,f +14198,100%,Mexico,1.0,f +10062,,Vanuatu,1.0,f +38830,95%,Niue,1.0,t +37337,100%,Niue,2.0,t +48929,100%,Niue,4.0,f +22636,100%,Niue,2.0,t +33836,100%,Kenya,4.0,f +10077,100%,Brazil,3.0,f +33737,,,1.0,f +42485,100%,Greenland,3.0,f +15245,100%,,11.0,f +40915,100%,Isle of Man,1.0,f +45671,,Bosnia and Herzegovina,1.0,t +10902,100%,Wallis and Futuna,6.0,f +15616,83%,Tonga,1.0,f +26559,,Guinea,4.0,t +41869,,Niue,4.0,t +31737,100%,Cuba,1.0,f +48633,75%,Lebanon,2.0,f +17523,100%,,1.0,f +19095,100%,Madagascar,3.0,f +12564,94%,Kiribati,2.0,f +48145,100%,,1.0,f +48990,100%,Sao Tome and Principe,3.0,f +48990,100%,Sao Tome and Principe,3.0,f +38722,100%,,1.0,f +42485,100%,Greenland,3.0,f +1115,0%,,1.0,f +49594,100%,Uganda,7.0,f +1269,82%,China,2.0,t +31158,99%,Suriname,11.0,f +917,100%,Kiribati,2.0,f +17954,100%,Niue,1.0,f +45716,100%,,1.0,f +24789,100%,Sao Tome and Principe,6.0,f +5569,100%,Suriname,2.0,t +2746,100%,Bosnia and Herzegovina,2.0,t +9069,100%,Sao Tome and Principe,1.0,t +444,,,1.0,t +5569,100%,Suriname,2.0,t +48138,100%,,1.0,f +6488,100%,Marshall Islands,1.0,f +22902,100%,Malta,1.0,f +30283,100%,Brazil,15.0,f +43317,100%,,1.0,f +35124,100%,Holy See (Vatican City State),1.0,t +27528,100%,Gambia,2.0,t +47802,,Niue,1.0,f +4882,,Switzerland,3.0,f +44379,80%,El Salvador,8.0,t +14819,100%,Barbados,3.0,f +30262,100%,Russian Federation,2.0,f +10309,,Niue,1.0,f +30694,75%,,1.0,t +4446,100%,Uganda,58.0,f +26383,100%,Estonia,1.0,f +18558,,Sao Tome and Principe,1.0,f +30435,99%,Cape Verde,41.0,f +46497,100%,Gambia,2.0,t +45519,100%,Puerto Rico,2.0,f +33430,100%,Monaco,2.0,f +17960,,United Kingdom,2.0,f +34365,100%,Ecuador,1.0,t +19184,94%,Barbados,2.0,f +15518,100%,French Guiana,2.0,t +46277,100%,Svalbard & Jan Mayen Islands,1.0,t +40459,,Estonia,1.0,f +13212,100%,Zimbabwe,12.0,t +11022,100%,,1.0,f +38404,0%,Zimbabwe,1.0,f +30662,100%,Guinea,2.0,f +27907,100%,Puerto Rico,21.0,f +46491,,Venezuela,12.0,t +45229,100%,,2.0,f +33377,43%,Vanuatu,1.0,f +42477,90%,Micronesia,2.0,f +8477,100%,Kiribati,1.0,f +5384,90%,,1.0,f +1207,100%,Nicaragua,7.0,f +4316,100%,Micronesia,18.0,f +56,100%,Kiribati,2.0,t +31305,,Kiribati,2.0,f +46674,,Guinea,1.0,f +31305,,Kiribati,2.0,f +31298,96%,,5.0,f +14080,100%,,2.0,f +4920,98%,Estonia,8.0,f +36163,50%,,1.0,t +35709,0%,,1.0,f +13608,,Turks and Caicos Islands,1.0,f +3389,100%,Estonia,13.0,f +38088,83%,,1.0,f +26604,100%,Turkmenistan,1.0,f +48502,100%,Nicaragua,11.0,t +10469,100%,,1.0,f +18386,100%,,2.0,t +40698,100%,Micronesia,3.0,f +28334,100%,,3.0,f +37646,100%,Estonia,60.0,f +45053,100%,Marshall Islands,2.0,f +30435,99%,Cape Verde,41.0,f +15940,100%,Croatia,4.0,t +18484,100%,Gambia,108.0,f +42987,100%,,1.0,t +42292,,Puerto Rico,3.0,f +45514,100%,,1.0,f +28611,100%,Uruguay,1.0,f +10117,,Gambia,1.0,f +12424,100%,Pakistan,2.0,t +21237,100%,,1.0,f +42287,100%,Tonga,1.0,f +10636,100%,Jersey,1.0,f +34486,90%,,5.0,f +18618,100%,Turks and Caicos Islands,1.0,f +21660,,Niue,1.0,f +28828,100%,Isle of Man,198.0,t +9239,100%,Cuba,17.0,f +1054,100%,Guinea,20.0,f +2845,,Kiribati,9.0,f +8789,100%,Micronesia,1.0,f +27887,100%,Malta,2.0,t +20231,100%,Zimbabwe,1.0,f +601,,Cocos (Keeling) Islands,2.0,f +1065,100%,,1.0,f +29520,,Nicaragua,54.0,f +26968,,China,1.0,f +3162,100%,Montserrat,6.0,t +621,90%,Turks and Caicos Islands,2.0,f +2818,,,1.0,t +621,90%,Turks and Caicos Islands,2.0,f +46104,100%,Fiji,2.0,t +30286,100%,Montserrat,39.0,f +10740,100%,Indonesia,1.0,f +29520,,Nicaragua,54.0,f +40303,100%,Guinea,82.0,f +47376,100%,Sao Tome and Principe,1.0,f +18378,100%,Tonga,1.0,t +18000,100%,Slovakia (Slovak Republic),7.0,t +20195,100%,,1.0,f +30286,100%,Montserrat,39.0,f +10874,80%,,1.0,f +2746,100%,Bosnia and Herzegovina,2.0,t +14395,100%,Sao Tome and Principe,1.0,t +31847,87%,Saint Helena,2.0,f +2101,100%,Micronesia,1.0,f +24927,,Mexico,1.0,t +32155,,Uzbekistan,2.0,t +46201,100%,Barbados,1.0,f +10771,100%,Indonesia,1.0,f +27441,100%,Russian Federation,1.0,f +41342,100%,,2.0,f +9688,100%,Slovakia (Slovak Republic),1.0,t +47422,99%,Uzbekistan,30.0,f +33653,,China,1.0,f +47422,99%,Uzbekistan,30.0,f +1379,100%,Papua New Guinea,1.0,f +6015,100%,Russian Federation,1.0,f +6594,100%,Cuba,2.0,t +31723,88%,Marshall Islands,2.0,f +27811,100%,Ukraine,4.0,t +27982,100%,Zimbabwe,1.0,t +46241,100%,Niue,1.0,t +18319,,Saint Helena,2.0,f +33927,100%,Barbados,9.0,f +45328,97%,Kiribati,10.0,f +10042,,Indonesia,21.0,f +28205,,Iraq,22.0,f +6475,100%,,1.0,f +10403,100%,Mauritania,1.0,t +42053,60%,Isle of Man,1.0,f +31051,100%,,1.0,f +33615,100%,Barbados,1.0,f +22395,100%,China,2.0,f +23076,100%,Nicaragua,1.0,f +23695,100%,France,3.0,f +23678,,,1.0,t +40971,97%,Bouvet Island (Bouvetoya),13.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +31594,100%,Philippines,19.0,t +40971,97%,Bouvet Island (Bouvetoya),13.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +16027,,Barbados,8.0,t +3254,,Tonga,16.0,t +48409,,Estonia,60.0,t +18484,100%,Gambia,108.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +45028,100%,Malta,1.0,t +1620,,Estonia,1.0,f +9340,100%,Zimbabwe,1.0,f +18024,100%,Monaco,1.0,f +507,,Afghanistan,1.0,f +37787,100%,Barbados,5.0,f +37483,100%,Gibraltar,3.0,f +20334,99%,Niger,171.0,t +38993,100%,Malta,1.0,f +1558,100%,,10.0,f +13753,100%,,2.0,f +34351,100%,Greenland,2.0,f +37372,,Niue,1.0,f +41000,,China,2.0,f +34587,,Isle of Man,22.0,t +18520,83%,,1.0,f +7307,40%,,1.0,f +4649,100%,,1.0,f +40793,100%,,75.0,t +1053,100%,Croatia,1.0,f +37971,100%,United Kingdom,1.0,f +23719,100%,Isle of Man,1.0,f +32203,100%,Barbados,176.0,f +44571,,,1.0,f +30286,100%,Montserrat,39.0,f +16567,100%,Russian Federation,4.0,f +34248,100%,Guinea,1.0,f +45879,,Lebanon,1.0,f +46534,100%,Costa Rica,1.0,t +8885,100%,,1.0,f +19854,89%,Micronesia,1.0,f +9771,100%,Bosnia and Herzegovina,7.0,t +11437,,,1.0,f +19879,99%,Guinea,19.0,f +10683,100%,Tonga,1.0,f +30871,100%,Russian Federation,1.0,t +44045,100%,Sao Tome and Principe,2.0,f +9671,100%,,1.0,t +9771,100%,Bosnia and Herzegovina,7.0,t +19879,99%,Guinea,19.0,f +7183,50%,,3.0,f +41995,100%,Reunion,5.0,f +49678,,Togo,1.0,t +1098,100%,Gibraltar,2.0,f +39168,83%,Tonga,6.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +23417,100%,Slovenia,1.0,f +29377,90%,,2.0,f +18484,100%,Gambia,108.0,f +43791,,Sao Tome and Principe,1.0,t +11984,,,1.0,f +4217,,Kenya,52.0,f +18694,100%,Chad,1.0,t +19103,100%,,1.0,f +29520,,Nicaragua,54.0,f +8091,97%,Cuba,10.0,f +3,,Micronesia,1.0,f +40793,100%,,75.0,t +20923,100%,Svalbard & Jan Mayen Islands,1.0,f +9771,100%,Bosnia and Herzegovina,7.0,t +48452,100%,Tanzania,1.0,f +37880,,Reunion,1.0,f +20882,100%,Barbados,2.0,f +42718,100%,Niue,2.0,f +16770,83%,Tonga,2.0,f +30915,100%,Canada,1.0,f +909,100%,Croatia,18.0,t +31751,100%,Nicaragua,29.0,f +3154,100%,,1.0,f +9674,,El Salvador,1.0,t +909,100%,Croatia,18.0,t +29170,100%,Russian Federation,1.0,f +909,100%,Croatia,18.0,t +1558,100%,,10.0,f +14725,100%,Lebanon,3.0,f +39027,80%,Nicaragua,2.0,f +909,100%,Croatia,18.0,t +36497,100%,Niue,2.0,t +39067,,Pakistan,1.0,t +29718,100%,Philippines,6.0,t +47045,100%,Uganda,2.0,t +44012,100%,Rwanda,1.0,t +42583,100%,Sao Tome and Principe,5.0,f +26370,100%,,4.0,t +28046,100%,Cape Verde,5.0,f +2150,88%,,1.0,f +32375,,China,1.0,f +10041,100%,,1.0,f +21877,100%,Cook Islands,7.0,f +48409,,Estonia,60.0,t +37646,100%,Estonia,60.0,f +10351,98%,El Salvador,15.0,f +25476,100%,Fiji,11.0,f +17330,100%,Gibraltar,1.0,f +48161,100%,Peru,1.0,t +17763,100%,Isle of Man,1.0,f +20732,100%,Russian Federation,1.0,t +28362,100%,Lebanon,1.0,f +44629,100%,Tunisia,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +16520,100%,Marshall Islands,22.0,f +29021,,French Guiana,3.0,t +1558,100%,,10.0,f +10488,100%,Niger,17.0,t +20757,,France,1.0,t +7129,100%,Guinea,4.0,f +9331,100%,Suriname,2.0,f +45328,97%,Kiribati,10.0,f +17444,100%,Malawi,1.0,f +7804,100%,Russian Federation,3.0,f +30130,100%,Togo,1.0,f +21774,100%,France,1.0,f +16651,100%,Guinea,21.0,f +36940,100%,Faroe Islands,1.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +36693,90%,,3.0,f +20334,99%,Niger,171.0,t +385,100%,,1.0,f +5213,100%,Niue,1.0,f +19149,,,1.0,f +573,100%,Zimbabwe,3.0,f +27972,94%,Brazil,27.0,f +37688,100%,,1.0,f +16651,100%,Guinea,21.0,f +31979,100%,Kenya,10.0,f +41341,100%,Guinea,3.0,t +18950,100%,,1.0,f +47269,100%,El Salvador,1.0,f +41434,100%,,2.0,t +20334,99%,Niger,171.0,t +25405,100%,Brazil,1.0,f +43912,100%,,1.0,f +27226,100%,Congo,10.0,f +18484,100%,Gambia,108.0,f +24143,0%,Estonia,3.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +18863,90%,Estonia,9.0,f +10711,93%,Uganda,108.0,t +15126,100%,,1.0,f +20263,99%,Maldives,35.0,t +32203,100%,Barbados,176.0,f +34430,100%,Indonesia,3.0,f +42152,,Lithuania,1.0,f +18863,90%,Estonia,9.0,f +29520,,Nicaragua,54.0,f +37036,94%,Estonia,9.0,f +5613,100%,,1.0,f +18863,90%,Estonia,9.0,f +5962,,Maldives,1.0,t +243,100%,Micronesia,2.0,f +5397,,Gambia,1.0,f +9968,100%,Indonesia,1.0,f +18411,100%,,2.0,t +41588,,Brunei Darussalam,2.0,f +22526,100%,,2.0,t +23875,63%,Chad,1.0,f +19599,,Russian Federation,1.0,f +12812,99%,Croatia,32.0,f +39865,83%,,1.0,f +25794,100%,Estonia,2.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +46646,100%,Gambia,1.0,t +19428,,Rwanda,1.0,t +28828,100%,Isle of Man,198.0,t +31073,,Isle of Man,3.0,f +25932,100%,Zimbabwe,1.0,f +28794,100%,Denmark,1.0,f +6737,100%,Isle of Man,2.0,f +24143,0%,Estonia,3.0,f +5896,100%,China,3.0,t +16645,,,1.0,f +20754,,China,13.0,f +13019,100%,,1.0,f +16162,100%,Svalbard & Jan Mayen Islands,2.0,t +37978,100%,Uzbekistan,2.0,f +37858,92%,Anguilla,7.0,f +21177,100%,Denmark,1.0,f +36168,100%,,2.0,f +2435,,Gambia,1.0,f +4653,,Chad,1.0,t +49591,100%,Turks and Caicos Islands,2.0,f +45232,100%,,3.0,f +33325,,Greenland,4.0,f +37140,,,1.0,f +7655,98%,Gambia,7.0,f +37978,100%,Uzbekistan,2.0,f +47892,100%,,1.0,f +19910,75%,Turkey,2.0,t +19214,100%,Senegal,55.0,f +541,93%,Marshall Islands,17.0,f +38319,100%,Nicaragua,20.0,f +38319,100%,Nicaragua,20.0,f +38319,100%,Nicaragua,20.0,f +10971,,,1.0,t +5179,,,12.0,f +29520,,Nicaragua,54.0,f +46208,100%,Mauritania,1.0,f +20153,96%,Reunion,51.0,f +11952,100%,,1.0,f +12802,100%,Niger,3.0,t +15135,,,2.0,f +25128,100%,Barbados,5.0,t +44500,100%,,1.0,f +38319,100%,Nicaragua,20.0,f +25165,93%,Uzbekistan,7.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +42164,100%,,6.0,f +33487,100%,,1.0,f +28399,,Guinea,4.0,f +21908,100%,Niue,49.0,f +2794,100%,Indonesia,3.0,f +27334,100%,China,16.0,f +49594,100%,Uganda,7.0,f +49594,100%,Uganda,7.0,f +23351,100%,Togo,1.0,f +9802,,Indonesia,38.0,t +47472,100%,Nicaragua,4.0,f +24671,,Ghana,10.0,f +26929,100%,Croatia,2.0,f +15118,,Montserrat,2.0,f +30019,20%,,4.0,f +12137,99%,Sao Tome and Principe,33.0,t +6259,100%,Indonesia,1.0,f +42164,100%,,6.0,f +30019,20%,,4.0,f +28828,100%,Isle of Man,198.0,t +28241,97%,Maldives,10.0,f +30019,20%,,4.0,f +18484,100%,Gambia,108.0,f +2588,,Reunion,1.0,f +28055,100%,Kiribati,1.0,f +16651,100%,Guinea,21.0,f +47452,85%,France,2.0,f +4632,80%,Niue,1.0,t +27009,,Cook Islands,1.0,f +31073,,Isle of Man,3.0,f +45121,100%,Andorra,5.0,t +30019,20%,,4.0,f +14247,,Mexico,4.0,f +37047,97%,United Kingdom,5.0,f +24758,,,1.0,f +14514,,China,80.0,t +24386,100%,Brazil,1.0,f +6726,100%,Tonga,2.0,t +1054,100%,Guinea,20.0,f +10711,93%,Uganda,108.0,t +197,90%,Pakistan,8.0,f +4519,,Mexico,1.0,f +29520,,Nicaragua,54.0,f +14514,,China,80.0,t +36723,89%,Niger,1.0,f +5003,100%,Jersey,8.0,f +20334,99%,Niger,171.0,t +28828,100%,Isle of Man,198.0,t +5756,100%,Philippines,2.0,f +46491,,Venezuela,12.0,t +25002,,China,12.0,f +5420,100%,Tonga,41.0,f +49576,100%,Portugal,1.0,f +37043,100%,Pakistan,11.0,f +11457,90%,Denmark,1.0,t +7903,,Micronesia,1.0,t +5704,,,2.0,f +21735,50%,Isle of Man,1.0,t +11293,100%,Togo,2.0,f +36744,60%,Indonesia,1.0,f +17140,100%,,1.0,f +11803,100%,Chad,1.0,f +2649,,,1.0,f +37238,100%,,1.0,f +726,,Kiribati,1.0,f +30435,99%,Cape Verde,41.0,f +52,100%,,1.0,t +43170,75%,,1.0,f +35247,100%,,1.0,f +28243,100%,Gibraltar,1.0,f +38657,100%,Niue,1.0,f +41361,100%,Puerto Rico,1.0,f +37247,100%,Tanzania,3.0,f +11712,95%,Monaco,4.0,f +28635,78%,Ecuador,1.0,f +35799,,Netherlands,7.0,f +36796,90%,,1.0,t +18785,,,1.0,f +43959,100%,Tunisia,3.0,t +5773,100%,,1.0,f +41493,100%,Gambia,5.0,f +47274,100%,Tonga,48.0,f +47274,100%,Tonga,48.0,f +9239,100%,Cuba,17.0,f +16651,100%,Guinea,21.0,f +39458,100%,Gambia,1.0,t +33369,,,4.0,f +33369,,,4.0,f +33369,,,4.0,f +13404,100%,,1.0,f +38319,100%,Nicaragua,20.0,f +11485,0%,Holy See (Vatican City State),1.0,f +32203,100%,Barbados,176.0,f +14157,20%,Congo,3.0,f +32155,,Uzbekistan,2.0,t +981,100%,Gambia,1.0,t +12965,100%,Vietnam,11.0,t +12137,99%,Sao Tome and Principe,33.0,t +16133,100%,,2.0,f +46988,,Somalia,4.0,t +6181,100%,Zimbabwe,4.0,f +20153,96%,Reunion,51.0,f +33369,,,4.0,f +20153,96%,Reunion,51.0,f +14790,,Niger,1.0,f +20153,96%,Reunion,51.0,f +41434,100%,,2.0,t +9545,100%,,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +18312,100%,Guinea,1.0,f +2266,100%,Tonga,10.0,t +40903,100%,,1.0,f +10015,,Bosnia and Herzegovina,8.0,f +35622,,Anguilla,1.0,t +2090,100%,Barbados,1.0,f +1076,100%,Guernsey,1.0,f +11311,,Sao Tome and Principe,1.0,f +14119,,Vanuatu,1.0,f +5973,,Jersey,5.0,f +16275,98%,Maldives,24.0,f +14148,,,1.0,f +36108,,,1.0,f +34171,100%,Anguilla,6.0,f +16651,100%,Guinea,21.0,f +9802,,Indonesia,38.0,t +18484,100%,Gambia,108.0,f +43413,100%,Anguilla,1.0,f +43777,100%,Denmark,18.0,f +14853,,Niue,4.0,f +26616,100%,Isle of Man,10.0,f +27334,100%,China,16.0,f +28961,,Vietnam,3.0,f +9899,90%,Maldives,3.0,f +16275,98%,Maldives,24.0,f +16651,100%,Guinea,21.0,f +4902,80%,Djibouti,3.0,t +35941,,,2.0,f +47402,100%,,2.0,f +21908,100%,Niue,49.0,f +19716,100%,,3.0,t +8229,100%,Indonesia,1.0,f +16277,100%,Nicaragua,1.0,f +24541,90%,Tonga,1.0,f +28316,100%,,2.0,f +49103,80%,Rwanda,5.0,f +8351,100%,Turks and Caicos Islands,2.0,f +9131,100%,Gambia,5.0,f +25304,100%,Zimbabwe,1.0,f +28727,,Monaco,1.0,f +22376,100%,Vanuatu,6.0,f +37582,100%,Cook Islands,3.0,f +9131,100%,Gambia,5.0,f +43509,,,1.0,t +1935,100%,Papua New Guinea,1.0,f +31391,100%,,1.0,f +23469,100%,Nicaragua,116.0,f +16983,,,1.0,f +23469,100%,Nicaragua,116.0,f +43340,100%,Andorra,1.0,f +23611,100%,Pakistan,3.0,t +48627,67%,Puerto Rico,1.0,f +6663,95%,Gambia,5.0,f +48518,100%,,1.0,t +2519,,,1.0,f +10361,100%,,4.0,f +14386,100%,Nicaragua,8.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +32495,100%,Tonga,9.0,f +32968,,,1.0,f +15279,,Afghanistan,22.0,t +15279,,Afghanistan,22.0,t +3254,,Tonga,16.0,t +37744,,Micronesia,1.0,f +48370,,,1.0,t +23588,,Ghana,3.0,f +48038,,Bouvet Island (Bouvetoya),2.0,f +12263,,,3.0,t +17289,,Rwanda,1.0,f +19994,100%,Saint Helena,5.0,f +34284,100%,Cape Verde,2.0,f +33108,100%,Costa Rica,3.0,f +22619,90%,Niue,4.0,f +38972,78%,Tunisia,1.0,f +6960,,Greenland,4.0,f +15255,,Portugal,1.0,f +22619,90%,Niue,4.0,f +28113,100%,,1.0,f +37252,100%,,1.0,f +8842,100%,Slovakia (Slovak Republic),3.0,f +25429,93%,Zimbabwe,3.0,f +22619,90%,Niue,4.0,f +44484,38%,,1.0,f +17589,80%,,1.0,f +19024,,Ghana,1.0,f +35799,,Netherlands,7.0,f +9824,93%,,1.0,f +26425,100%,Cocos (Keeling) Islands,1.0,f +27784,,Montserrat,5.0,f +7831,,,1.0,f +35799,,Netherlands,7.0,f +14814,100%,Kenya,1.0,f +8125,,Monaco,1.0,f +25085,,Niue,1.0,t +551,95%,Rwanda,17.0,f +551,95%,Rwanda,17.0,f +26623,100%,Nicaragua,1.0,t +4319,100%,Uganda,6.0,f +12481,100%,,1.0,t +4701,100%,Senegal,3.0,f +13042,100%,Costa Rica,5.0,f +14853,,Niue,4.0,f +15642,,Brazil,3.0,f +14853,,Niue,4.0,f +19655,100%,Tonga,13.0,t +20048,,El Salvador,5.0,t +26419,100%,Barbados,6.0,f +15762,,Niger,2.0,f +22361,100%,Jersey,2.0,f +46541,100%,Chad,1.0,f +14510,,Mauritania,2.0,f +36616,100%,Guinea,2.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +42615,100%,Kenya,3.0,f +24634,100%,Guinea,20.0,t +20048,,El Salvador,5.0,t +30124,,,2.0,f +31394,,Djibouti,1.0,f +18447,100%,Venezuela,2.0,f +26398,,,1.0,f +33262,90%,Niger,1.0,f +30435,99%,Cape Verde,41.0,f +21275,100%,Marshall Islands,1.0,f +45984,100%,Gambia,1.0,f +1335,100%,Nicaragua,3.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +46955,83%,,2.0,f +10588,100%,Peru,2.0,f +37302,76%,,7.0,f +10588,100%,Peru,2.0,f +43933,100%,Guernsey,2.0,f +9516,99%,Pakistan,45.0,t +35229,88%,Marshall Islands,1.0,f +37302,76%,,7.0,f +32495,100%,Tonga,9.0,f +1558,100%,,10.0,f +32495,100%,Tonga,9.0,f +14131,90%,Niue,2.0,t +37714,100%,Zimbabwe,3.0,f +17192,,,1.0,f +32943,,,1.0,f +18462,100%,Reunion,2.0,t +10691,,Chile,1.0,f +41873,100%,Zimbabwe,2.0,f +753,,,1.0,f +14853,,Niue,4.0,f +7434,100%,,1.0,f +30266,100%,United Kingdom,1.0,f +10917,100%,Micronesia,1.0,f +25112,,Togo,4.0,f +13492,100%,France,2.0,f +8931,,,1.0,t +18816,0%,,1.0,f +11990,,Niue,3.0,f +35941,,,2.0,f +31296,98%,,4.0,f +25152,100%,Gambia,4.0,t +26880,100%,Russian Federation,1.0,f +45928,100%,,2.0,t +1896,,Fiji,1.0,f +36812,,Cook Islands,2.0,f +16489,100%,Russian Federation,42.0,t +49076,97%,Kenya,12.0,t +41873,100%,Zimbabwe,2.0,f +44686,,Sao Tome and Principe,1.0,t +3389,100%,Estonia,13.0,f +26018,,Venezuela,1.0,t +20151,,Marshall Islands,1.0,t +20355,100%,,1.0,t +14203,100%,Turks and Caicos Islands,1.0,f +9801,100%,Niger,1.0,f +41863,100%,Micronesia,2.0,f +411,100%,Cuba,2.0,f +40543,,Indonesia,3.0,f +22352,100%,Gibraltar,1.0,t +17769,,Estonia,1.0,f +37150,100%,,1.0,f +34059,100%,,2.0,f +29314,100%,Mauritania,1.0,f +3272,,,1.0,t +2764,,Togo,1.0,f +47249,,Tonga,2.0,f +8409,98%,Maldives,9.0,f +39732,100%,Niue,1.0,f +30140,100%,Lebanon,4.0,t +22596,90%,Russian Federation,8.0,f +40039,100%,Croatia,1.0,f +22596,90%,Russian Federation,8.0,f +40543,,Indonesia,3.0,f +3233,100%,Monaco,2.0,f +31246,0%,Reunion,1.0,f +1824,100%,,4.0,t +29249,75%,Russian Federation,1.0,f +23568,,Denmark,1.0,f +32527,100%,Tonga,7.0,f +1824,100%,,4.0,t +9575,,Kiribati,1.0,f +46192,,,1.0,t +32527,100%,Tonga,7.0,f +10005,,Turkmenistan,1.0,t +26754,50%,Niue,1.0,f +31235,,Togo,1.0,f +49332,100%,Tonga,3.0,f +13648,,Uzbekistan,1.0,f +42405,67%,Indonesia,3.0,f +49935,100%,Guernsey,1.0,f +36205,,Kiribati,1.0,f +7881,100%,Niue,6.0,t +43082,83%,Isle of Man,1.0,f +39730,,Marshall Islands,3.0,t +3384,90%,Venezuela,4.0,t +38063,56%,,1.0,f +10118,100%,Saint Helena,1.0,f +45439,100%,Barbados,3.0,f +34773,,Kenya,1.0,t +28828,100%,Isle of Man,198.0,t +15393,60%,Gambia,1.0,f +41134,,,1.0,f +36092,80%,Gambia,3.0,t +18183,100%,Netherlands,5.0,t +30500,100%,Zimbabwe,1.0,t +49578,100%,Rwanda,1.0,f +14247,,Mexico,4.0,f +42326,80%,Papua New Guinea,10.0,t +14247,,Mexico,4.0,f +2356,60%,,1.0,f +45688,,Kenya,10.0,f +1969,,Micronesia,1.0,f +13488,100%,,1.0,f +48973,100%,Tonga,6.0,f +14247,,Mexico,4.0,f +34472,,Wallis and Futuna,1.0,t +39476,100%,Rwanda,1.0,f +2800,,Afghanistan,1.0,f +20334,99%,Niger,171.0,t +18187,100%,Turkmenistan,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +20334,99%,Niger,171.0,t +14787,0%,Maldives,1.0,f +11358,100%,Iceland,4.0,t +29596,,Nauru,3.0,f +16489,100%,Russian Federation,42.0,t +2266,100%,Tonga,10.0,t +15990,90%,Portugal,3.0,f +2266,100%,Tonga,10.0,t +1002,100%,,1.0,f +2845,,Kiribati,9.0,f +33741,90%,Russian Federation,1.0,f +38509,,Vanuatu,1.0,f +48474,,,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +16489,100%,Russian Federation,42.0,t +20172,90%,Barbados,1.0,f +36123,100%,Kiribati,5.0,f +18177,93%,Fiji,10.0,f +29520,,Nicaragua,54.0,f +45121,100%,Andorra,5.0,t +42014,69%,China,17.0,f +30216,98%,Maldives,34.0,f +16489,100%,Russian Federation,42.0,t +16489,100%,Russian Federation,42.0,t +36123,100%,Kiribati,5.0,f +45384,100%,Niue,1.0,f +18484,100%,Gambia,108.0,f +16489,100%,Russian Federation,42.0,t +19746,100%,Jersey,2.0,t +40793,100%,,75.0,t +19602,100%,Lithuania,24.0,f +23842,,Palestinian Territory,1.0,f +36123,100%,Kiribati,5.0,f +14312,,Monaco,2.0,f +36123,100%,Kiribati,5.0,f +29520,,Nicaragua,54.0,f +20165,94%,Ukraine,30.0,f +36817,91%,Slovakia (Slovak Republic),6.0,f +46610,100%,,1.0,t +11166,80%,Marshall Islands,1.0,f +25889,,Tonga,1.0,f +21586,,China,1.0,f +36123,100%,Kiribati,5.0,f +32194,,China,1.0,f +11510,,Montserrat,11.0,f +9771,100%,Bosnia and Herzegovina,7.0,t +41266,100%,Papua New Guinea,1.0,f +7467,,Cape Verde,2.0,f +40919,100%,Zimbabwe,2.0,t +10134,100%,Uzbekistan,7.0,t +10134,100%,Uzbekistan,7.0,t +5986,100%,Puerto Rico,1.0,f +5887,100%,Netherlands,2.0,f +31645,100%,Jersey,1.0,f +24268,,Greenland,5.0,f +20153,96%,Reunion,51.0,f +24594,100%,Rwanda,14.0,f +19625,100%,Costa Rica,2.0,f +46126,100%,Zimbabwe,2.0,f +34868,100%,,3.0,f +4643,100%,Guinea,2.0,f +11171,100%,Turks and Caicos Islands,4.0,f +18137,,,1.0,f +39671,60%,Venezuela,1.0,t +48976,100%,Philippines,4.0,f +5525,,,1.0,f +24199,,Lebanon,1.0,t +48976,100%,Philippines,4.0,f +48976,100%,Philippines,4.0,f +5057,100%,Zimbabwe,23.0,t +46387,100%,Russian Federation,1.0,f +30435,99%,Cape Verde,41.0,f +25177,100%,Costa Rica,2.0,t +541,93%,Marshall Islands,17.0,f +31206,,,3.0,f +37921,,Papua New Guinea,1.0,f +1815,,Marshall Islands,2.0,t +8253,,Nicaragua,4.0,f +39246,100%,Niger,1.0,t +42461,100%,,4.0,t +43187,78%,Isle of Man,1.0,f +23928,100%,Jersey,2.0,f +5708,100%,,1.0,t +45358,100%,Micronesia,3.0,t +12226,100%,El Salvador,1.0,f +1632,,Puerto Rico,1.0,f +16368,100%,Faroe Islands,4.0,t +27203,,Bouvet Island (Bouvetoya),13.0,f +22119,,Nicaragua,3.0,t +36327,100%,Guinea,5.0,t +48996,100%,,1.0,f +12509,100%,,1.0,f +30758,100%,,3.0,f +36327,100%,Guinea,5.0,t +5278,100%,Guinea,1.0,t +1865,100%,,2.0,f +12961,100%,,1.0,f +36327,100%,Guinea,5.0,t +10156,100%,Ecuador,1.0,f +43005,100%,Senegal,3.0,f +41709,100%,,12.0,f +8863,100%,Kenya,1.0,f +24902,100%,Uganda,3.0,t +541,93%,Marshall Islands,17.0,f +41709,100%,,12.0,f +26616,100%,Isle of Man,10.0,f +41709,100%,,12.0,f +42965,100%,Uzbekistan,11.0,t +18876,60%,Netherlands,26.0,f +8128,96%,Nauru,4.0,f +16243,,Lebanon,3.0,f +37277,100%,Mauritania,1.0,f +11018,,,1.0,f +37378,83%,Brazil,1.0,f +19265,100%,Denmark,2.0,f +42378,,Nauru,1.0,f +23505,70%,,2.0,t +12229,100%,Isle of Man,1.0,t +8720,100%,Cocos (Keeling) Islands,2.0,f +20334,99%,Niger,171.0,t +20407,100%,,4.0,f +13288,90%,Jersey,3.0,f +41923,100%,Puerto Rico,4.0,f +7871,100%,Jersey,1.0,f +39515,100%,United Kingdom,5.0,t +8395,100%,Andorra,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +32167,100%,Lebanon,1.0,f +37666,100%,Ecuador,9.0,f +1335,100%,Nicaragua,3.0,f +9962,100%,Ukraine,3.0,f +40310,100%,Zimbabwe,1.0,f +16001,100%,Gambia,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +23034,99%,Monaco,54.0,f +6314,100%,,2.0,f +16082,100%,Sao Tome and Principe,2.0,f +40303,100%,Guinea,82.0,f +35221,100%,Turks and Caicos Islands,30.0,t +22305,,Kiribati,3.0,f +21348,100%,,1.0,f +6988,88%,United Kingdom,2.0,f +42461,100%,,4.0,t +1081,100%,Russian Federation,1.0,f +42913,,Lebanon,1.0,t +14130,,Russian Federation,10.0,f +31149,100%,Tonga,1.0,f +14130,,Russian Federation,10.0,f +26718,100%,Tunisia,1.0,f +14130,,Russian Federation,10.0,f +14130,,Russian Federation,10.0,f +32912,,,1.0,f +14130,,Russian Federation,10.0,f +14130,,Russian Federation,10.0,f +40793,100%,,75.0,t +5529,80%,,1.0,f +24207,100%,Pakistan,3.0,f +34042,100%,Marshall Islands,37.0,f +34618,38%,Isle of Man,1.0,f +21279,100%,Ghana,1.0,f +18177,93%,Fiji,10.0,f +3025,90%,,1.0,f +35091,100%,Zimbabwe,3.0,f +18177,93%,Fiji,10.0,f +12988,98%,Pakistan,5.0,f +5353,100%,,1.0,f +49953,100%,Niger,1.0,f +42695,,Rwanda,1.0,f +541,93%,Marshall Islands,17.0,f +29520,,Nicaragua,54.0,f +46987,100%,Lebanon,1.0,f +8544,100%,Malawi,3.0,t +5903,100%,Micronesia,1.0,f +19359,,,2.0,t +14801,100%,Uganda,1.0,t +21908,100%,Niue,49.0,f +33248,100%,,4.0,f +43214,100%,Russian Federation,1.0,f +16137,100%,Gibraltar,1.0,f +47552,,China,1.0,f +22119,,Nicaragua,3.0,t +40364,100%,Tonga,25.0,f +45992,,Chad,3.0,f +1166,,Lithuania,9.0,t +21992,100%,,1.0,f +23528,100%,Malawi,1.0,t +49824,,,1.0,f +33248,100%,,4.0,f +22119,,Nicaragua,3.0,t +5302,100%,Nicaragua,6.0,f +6225,90%,Barbados,7.0,f +18952,100%,,1.0,f +1822,100%,Anguilla,1.0,f +22797,100%,,2.0,t +15385,100%,Cook Islands,3.0,f +39990,100%,,1.0,f +49648,100%,Niue,2.0,f +37979,,France,1.0,t +50051,100%,Netherlands,5.0,t +5704,,,2.0,f +31073,,Isle of Man,3.0,f +9503,100%,Guinea,1.0,f +6004,90%,Micronesia,4.0,f +6004,90%,Micronesia,4.0,f +42687,,,1.0,f +28234,100%,Marshall Islands,4.0,f +44698,100%,Isle of Man,3.0,f +4529,,Estonia,1.0,t +18595,100%,Micronesia,1.0,f +12949,100%,Russian Federation,2.0,f +1558,100%,,10.0,f +37735,100%,Uganda,13.0,t +33494,100%,Papua New Guinea,1.0,f +48821,100%,Micronesia,1.0,f +42282,,,1.0,f +25203,100%,Somalia,1.0,f +42434,100%,Tanzania,1.0,f +15078,,Vietnam,8.0,f +1657,,Croatia,13.0,t +3921,98%,,14.0,f +38566,,,1.0,f +1657,,Croatia,13.0,t +47513,100%,,1.0,t +29520,,Nicaragua,54.0,f +27443,100%,Guinea,3.0,f +7209,100%,Uganda,3.0,f +34723,100%,Peru,12.0,f +25668,100%,Jersey,12.0,t +33272,100%,Marshall Islands,1.0,f +38832,97%,,15.0,f +41675,100%,Zimbabwe,1.0,f +40654,100%,,2.0,f +43321,100%,France,40.0,f +12988,98%,Pakistan,5.0,f +32557,100%,Mexico,1.0,f +10809,100%,Bosnia and Herzegovina,4.0,f +47425,,Turks and Caicos Islands,1.0,f +29647,100%,Peru,1305.0,f +9905,,Zimbabwe,1.0,f +12247,100%,Maldives,33.0,f +40513,,Lebanon,1.0,t +16314,100%,Chile,1.0,f +2383,,French Guiana,3.0,t +526,100%,,3.0,f +6054,100%,France,1.0,f +33489,100%,,1.0,t +7391,100%,Russian Federation,1.0,t +21665,100%,Gambia,1.0,f +13804,100%,El Salvador,2.0,f +32542,100%,,2.0,f +39327,100%,France,1.0,f +29423,100%,Niue,3.0,f +12247,100%,Maldives,33.0,f +46285,100%,Turkmenistan,3.0,t +41043,100%,Bosnia and Herzegovina,11.0,f +21775,67%,Puerto Rico,1.0,f +12247,100%,Maldives,33.0,f +35697,100%,,1.0,f +12247,100%,Maldives,33.0,f +14224,90%,Lebanon,1.0,f +11254,90%,Tanzania,1.0,f +24140,,Greenland,2.0,f +12247,100%,Maldives,33.0,f +29733,,Russian Federation,15.0,f +28572,100%,Kiribati,1.0,f +5765,100%,Kiribati,1.0,t +29520,,Nicaragua,54.0,f +45439,100%,Barbados,3.0,f +45559,100%,Lithuania,1.0,f +20441,90%,,1.0,f +16818,98%,Nicaragua,5.0,t +4737,100%,Brunei Darussalam,2.0,f +29520,,Nicaragua,54.0,f +19613,100%,Guinea,1.0,f +29520,,Nicaragua,54.0,f +5471,100%,Isle of Man,2.0,f +1467,100%,Micronesia,3.0,t +4359,100%,Nauru,3.0,t +18484,100%,Gambia,108.0,f +12137,99%,Sao Tome and Principe,33.0,t +50015,100%,,2.0,f +22721,100%,Ecuador,109.0,f +24594,100%,Rwanda,14.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +2166,,Kenya,4.0,t +35438,100%,Cuba,1.0,t +28772,100%,Niger,15.0,t +39014,33%,Nicaragua,1.0,f +18484,100%,Gambia,108.0,f +32203,100%,Barbados,176.0,f +24729,,Gambia,1.0,f +37302,76%,,7.0,f +14130,,Russian Federation,10.0,f +35500,100%,Niue,1.0,f +12137,99%,Sao Tome and Principe,33.0,t +14334,90%,Tunisia,1.0,t +12068,100%,Malawi,1.0,t +20844,,Tonga,2.0,t +22846,90%,Lebanon,1.0,t +3806,,,11.0,f +36001,100%,Philippines,1.0,t +5314,100%,,1.0,f +30951,100%,Papua New Guinea,1.0,t +5426,100%,Zimbabwe,1.0,t +40324,,Jersey,2.0,t +28193,,Bosnia and Herzegovina,1.0,f +42445,100%,,1.0,f +3806,,,11.0,f +19873,100%,Christmas Island,1.0,f +15357,100%,Kiribati,2.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +17210,100%,Maldives,2.0,f +19937,100%,Zimbabwe,1.0,f +49133,100%,Reunion,3.0,t +30758,100%,,3.0,f +30758,100%,,3.0,f +31298,96%,,5.0,f +31298,96%,,5.0,f +24491,,Russian Federation,1.0,f +4330,94%,Ukraine,60.0,t +15233,100%,Jersey,2.0,t +42461,100%,,4.0,t +32386,97%,Indonesia,19.0,f +5764,100%,,2.0,t +5021,80%,Niue,1.0,f +5459,100%,,1.0,f +23741,100%,Malta,2.0,f +29923,100%,Peru,1.0,f +32203,100%,Barbados,176.0,f +38237,100%,Ghana,1.0,f +17454,90%,Indonesia,2.0,f +45799,,Kiribati,6.0,t +26365,100%,El Salvador,1.0,f +48243,,,1.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +25147,99%,Niger,48.0,f +47471,100%,Lithuania,1.0,f +29520,,Nicaragua,54.0,f +27768,65%,Kiribati,15.0,t +44126,100%,Gambia,1.0,f +27768,65%,Kiribati,15.0,t +45742,,France,1.0,t +28412,100%,Netherlands,1.0,f +29520,,Nicaragua,54.0,f +9118,100%,,1.0,f +27662,100%,Brazil,2.0,f +40303,100%,Guinea,82.0,f +24118,98%,Ghana,21.0,t +13739,20%,Vanuatu,1.0,f +26541,100%,Nicaragua,12.0,f +11157,100%,,2.0,t +24118,98%,Ghana,21.0,t +38537,100%,Russian Federation,1.0,f +24118,98%,Ghana,21.0,t +40793,100%,,75.0,t +28254,77%,,2.0,t +13791,100%,Sao Tome and Principe,1.0,f +31092,,Senegal,19.0,f +20153,96%,Reunion,51.0,f +25944,100%,,1.0,t +22855,100%,French Guiana,1.0,f +3806,,,11.0,f +20153,96%,Reunion,51.0,f +9234,100%,Sao Tome and Principe,1.0,f +24912,100%,Sao Tome and Principe,5.0,f +49060,90%,Sao Tome and Principe,1.0,f +30216,98%,Maldives,34.0,f +17661,100%,,1.0,f +209,0%,,1.0,f +45138,79%,Barbados,14.0,f +26386,100%,Fiji,25.0,t +5174,100%,Lithuania,2.0,f +49404,50%,France,1.0,f +45247,,Sao Tome and Principe,1.0,t +2280,100%,Niue,2.0,f +29520,,Nicaragua,54.0,f +15176,,Vanuatu,10.0,f +49390,100%,Croatia,1.0,f +15176,,Vanuatu,10.0,f +15245,100%,,11.0,f +11394,100%,Brazil,1.0,f +30394,100%,Marshall Islands,1.0,f +25082,64%,Estonia,10.0,f +25082,64%,Estonia,10.0,f +25082,64%,Estonia,10.0,f +25082,64%,Estonia,10.0,f +25082,64%,Estonia,10.0,f +35815,97%,Slovakia (Slovak Republic),8.0,t +25082,64%,Estonia,10.0,f +25082,64%,Estonia,10.0,f +25082,64%,Estonia,10.0,f +39469,100%,Micronesia,11.0,t +35610,62%,Fiji,8.0,f +35610,62%,Fiji,8.0,f +35610,62%,Fiji,8.0,f +35610,62%,Fiji,8.0,f +35610,62%,Fiji,8.0,f +35610,62%,Fiji,8.0,f +4747,100%,Bouvet Island (Bouvetoya),1.0,f +7331,99%,Indonesia,8.0,t +36890,90%,Uzbekistan,1.0,t +39674,100%,Guinea,1.0,t +10019,29%,,1.0,f +4420,100%,,1.0,f +14407,100%,El Salvador,3.0,f +38632,100%,,1.0,f +46881,100%,Andorra,1.0,f +24033,100%,Uganda,45.0,f +40716,100%,,3.0,f +17849,100%,Turkmenistan,1.0,t +35442,,Russian Federation,14.0,f +44877,75%,Tunisia,1.0,t +17478,100%,Marshall Islands,2.0,f +4359,100%,Nauru,3.0,t +47360,100%,,3.0,f +14402,100%,Denmark,1.0,f +17022,100%,Kiribati,1.0,f +41666,,,1.0,f +22376,100%,Vanuatu,6.0,f +7098,100%,Gambia,2.0,f +7098,100%,Gambia,2.0,f +25345,100%,Estonia,2.0,f +47804,,,2.0,f +28808,100%,Brazil,1.0,t +47804,,,2.0,f +42824,100%,Greenland,1.0,f +1657,,Croatia,13.0,t +14733,100%,Zimbabwe,1.0,f +2266,100%,Tonga,10.0,t +22588,100%,,1.0,f +8381,100%,Faroe Islands,1.0,t +31383,100%,Spain,4.0,f +8839,100%,Sao Tome and Principe,1.0,f +9172,100%,Russian Federation,1.0,f +27313,,Sao Tome and Principe,1.0,f +41658,100%,France,1.0,f +28828,100%,Isle of Man,198.0,t +43777,100%,Denmark,18.0,f +3653,100%,,1.0,t +19128,100%,Uzbekistan,12.0,t +40615,,El Salvador,1.0,f +43183,98%,Tonga,12.0,t +31718,100%,France,6.0,f +31938,100%,Venezuela,1.0,f +31143,,Faroe Islands,1.0,f +32043,100%,Libyan Arab Jamahiriya,4.0,f +19879,99%,Guinea,19.0,f +14076,100%,Russian Federation,1.0,f +20334,99%,Niger,171.0,t +22996,100%,,1.0,f +34150,100%,Gibraltar,2.0,f +7958,40%,Chad,1.0,f +23177,100%,Estonia,5.0,f +31718,100%,France,6.0,f +9270,100%,Micronesia,1.0,f +2381,100%,,3.0,f +20153,96%,Reunion,51.0,f +38304,100%,United Kingdom,1.0,t +32272,90%,Turks and Caicos Islands,1.0,f +20153,96%,Reunion,51.0,f +48033,100%,Kiribati,1.0,t +44975,100%,El Salvador,1.0,f +15589,100%,Nicaragua,48.0,f +45807,50%,Malawi,2.0,f +29914,,Guinea,3.0,f +20334,99%,Niger,171.0,t +3192,100%,,1.0,t +27814,100%,Barbados,2.0,t +30092,50%,Indonesia,5.0,f +40315,,,2.0,f +30092,50%,Indonesia,5.0,f +30092,50%,Indonesia,5.0,f +30092,50%,Indonesia,5.0,f +19879,99%,Guinea,19.0,f +30221,50%,Vietnam,5.0,f +30221,50%,Vietnam,5.0,f +30221,50%,Vietnam,5.0,f +30221,50%,Vietnam,5.0,f +45807,50%,Malawi,2.0,f +29520,,Nicaragua,54.0,f +25519,100%,Slovakia (Slovak Republic),9.0,t +12945,100%,Ghana,1.0,t +19403,,Guinea,1.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +4074,50%,Isle of Man,17.0,f +19879,99%,Guinea,19.0,f +17809,100%,Reunion,1.0,f +2732,100%,Turkmenistan,4.0,f +29520,,Nicaragua,54.0,f +29850,,,3.0,f +6386,100%,Niger,6.0,t +37911,100%,Guinea,2.0,f +20153,96%,Reunion,51.0,f +20165,94%,Ukraine,30.0,f +6386,100%,Niger,6.0,t +19879,99%,Guinea,19.0,f +25366,100%,Kiribati,2.0,f +15295,,Lebanon,1.0,f +31718,100%,France,6.0,f +48672,100%,,1.0,f +6386,100%,Niger,6.0,t +40315,,,2.0,f +28869,,Antarctica (the territory South of 60 deg S),172.0,f +1617,100%,Russian Federation,2.0,f +6386,100%,Niger,6.0,t +6663,95%,Gambia,5.0,f +38607,90%,Barbados,1.0,f +17358,100%,,3.0,f +6386,100%,Niger,6.0,t +35499,94%,Andorra,4.0,f +48359,,Niger,2.0,f +20312,100%,Papua New Guinea,2.0,f +13700,100%,Isle of Man,8.0,f +20165,94%,Ukraine,30.0,f +13700,100%,Isle of Man,8.0,f +1617,100%,Russian Federation,2.0,f +10347,100%,Chad,1.0,f +46693,100%,Papua New Guinea,1.0,f +541,93%,Marshall Islands,17.0,f +42990,80%,Uzbekistan,3.0,f +11177,,Kenya,1.0,f +23824,100%,French Guiana,1.0,f +181,100%,Peru,1.0,f +37312,100%,Nicaragua,1.0,f +11455,75%,Kenya,1.0,f +36543,100%,Pakistan,1.0,f +46083,,Guinea,1.0,f +26481,100%,,1.0,f +16275,98%,Maldives,24.0,f +2266,100%,Tonga,10.0,t +15473,90%,Brazil,1.0,f +3112,94%,Indonesia,25.0,f +47633,100%,Reunion,4.0,t +10841,80%,,2.0,f +24055,100%,Pakistan,1.0,f +24071,100%,Indonesia,22.0,f +1146,95%,French Polynesia,9.0,f +12125,100%,Estonia,1.0,f +47272,,Anguilla,1.0,f +22240,,Vanuatu,1.0,f +39658,100%,,4.0,f +776,100%,,1.0,t +14412,,,1.0,f +46099,98%,Uzbekistan,28.0,f +46409,100%,,1.0,f +46099,98%,Uzbekistan,28.0,f +32072,100%,Christmas Island,1.0,t +46099,98%,Uzbekistan,28.0,f +37293,92%,Russian Federation,15.0,f +47680,90%,Netherlands,1.0,f +13065,100%,Jersey,5.0,f +48922,100%,Niue,2.0,f +37060,100%,,1.0,f +26344,100%,El Salvador,1.0,t +46752,100%,,2.0,t +46752,100%,,2.0,t +30435,99%,Cape Verde,41.0,f +26867,80%,Denmark,1.0,t +32386,97%,Indonesia,19.0,f +32386,97%,Indonesia,19.0,f +9516,99%,Pakistan,45.0,t +5955,90%,Russian Federation,1.0,t +43275,,,1.0,f +21723,100%,Niue,2.0,t +41856,100%,Maldives,13.0,t +3953,100%,Tonga,1.0,f +10831,100%,Turkmenistan,3.0,f +14983,100%,,1.0,t +20913,100%,Niue,2.0,t +46750,100%,Denmark,1.0,f +9887,100%,,1.0,f +12006,100%,Uruguay,5.0,f +30469,100%,Marshall Islands,1.0,t +12006,100%,Uruguay,5.0,f +20030,100%,Svalbard & Jan Mayen Islands,1.0,f +28279,100%,Uzbekistan,1.0,f +28512,100%,,1.0,t +43014,80%,Anguilla,2.0,t +16483,100%,,1.0,f +18499,100%,Saint Helena,5.0,f +31120,98%,,7.0,f +31120,98%,,7.0,f +36227,100%,Malta,2.0,f +13316,100%,,1.0,f +16376,100%,Denmark,1.0,t +11801,100%,Zimbabwe,1.0,f +7971,100%,Malta,3.0,f +28646,100%,Kiribati,2.0,f +2393,100%,Pakistan,1.0,f +28115,92%,,1.0,f +35478,100%,United Kingdom,1.0,f +4453,100%,,1.0,f +33031,100%,Zimbabwe,1.0,f +16489,100%,Russian Federation,42.0,t +31120,98%,,7.0,f +49274,100%,,2.0,f +32458,92%,Vietnam,4.0,f +475,,,1.0,f +27567,100%,,1.0,f +28908,75%,Lebanon,1.0,t +31120,98%,,7.0,f +33642,100%,,1.0,f +8554,100%,Denmark,2.0,f +30491,100%,Guernsey,1.0,f +17363,100%,Tonga,1.0,f +28954,100%,Rwanda,4.0,f +43237,40%,Montserrat,24.0,f +34565,100%,Uganda,1.0,t +19265,100%,Denmark,2.0,f +42353,100%,Lithuania,1.0,f +25472,100%,,1.0,f +27030,100%,Cocos (Keeling) Islands,1.0,f +23034,99%,Monaco,54.0,f +31873,99%,Uzbekistan,22.0,f +41394,100%,Isle of Man,1.0,f +35038,100%,,1.0,f +16668,90%,,1.0,f +1600,100%,,2.0,t +25632,100%,Cuba,13.0,f +46880,100%,,1.0,f +11976,,Gambia,2.0,t +36475,100%,Guernsey,4.0,t +6900,70%,,1.0,f +2895,100%,France,1.0,f +25632,100%,Cuba,13.0,f +19667,100%,Monaco,1.0,f +21302,100%,Nicaragua,4.0,f +28623,100%,Russian Federation,1.0,t +33113,100%,,2.0,t +25632,100%,Cuba,13.0,f +38018,100%,Venezuela,1.0,f +40128,100%,Russian Federation,3.0,t +1558,100%,,10.0,f +9290,90%,Philippines,1.0,f +37237,100%,Tunisia,1.0,f +42326,80%,Papua New Guinea,10.0,t +42326,80%,Papua New Guinea,10.0,t +41856,100%,Maldives,13.0,t +20816,100%,Bouvet Island (Bouvetoya),3.0,f +43232,100%,Montserrat,1.0,t +36098,100%,,1.0,f +26788,100%,Kiribati,2.0,t +13371,100%,Russian Federation,1.0,t +12858,90%,Venezuela,2.0,f +48675,100%,Venezuela,2.0,f +42223,100%,Andorra,1.0,f +34280,100%,Niue,1.0,f +16368,100%,Faroe Islands,4.0,t +37293,92%,Russian Federation,15.0,f +36405,100%,,1.0,t +25632,100%,Cuba,13.0,f +35389,,Kiribati,1.0,f +25632,100%,Cuba,13.0,f +28851,100%,Guinea,4.0,t +27321,90%,Micronesia,4.0,f +4112,100%,Isle of Man,1.0,f +6580,100%,Kiribati,5.0,t +1722,100%,,1.0,f +13295,100%,Denmark,4.0,f +34913,,,1.0,f +2367,100%,Kiribati,9.0,f +3806,,,11.0,f +14448,33%,United Kingdom,1.0,f +37281,,,1.0,t +32942,,Pakistan,6.0,f +47046,100%,Lebanon,9.0,f +5032,100%,Isle of Man,1.0,t +2748,100%,Nicaragua,2.0,f +29976,100%,,3.0,f +32767,100%,,1.0,f +46523,90%,Guinea,2.0,t +19879,99%,Guinea,19.0,f +20742,100%,Bosnia and Herzegovina,1.0,f +3649,100%,Russian Federation,1.0,f +41220,100%,Tonga,1.0,f +9345,100%,Bosnia and Herzegovina,4.0,f +1635,0%,Barbados,1.0,f +6838,96%,Spain,59.0,t +24912,100%,Sao Tome and Principe,5.0,f +25956,100%,,1.0,f +6386,100%,Niger,6.0,t +47943,100%,,2.0,f +48601,,,3.0,f +32942,,Pakistan,6.0,f +29520,,Nicaragua,54.0,f +37069,100%,Marshall Islands,1.0,t +18484,100%,Gambia,108.0,f +16434,100%,Maldives,1.0,t +40364,100%,Tonga,25.0,f +30411,56%,Togo,25.0,f +48928,87%,French Guiana,5.0,f +32249,100%,Jersey,1.0,f +7868,100%,Marshall Islands,1.0,f +37062,100%,Isle of Man,2.0,f +19909,100%,Andorra,1.0,f +29150,100%,Chad,1.0,f +20334,99%,Niger,171.0,t +29483,100%,Turkmenistan,1.0,f +38843,100%,Uzbekistan,3.0,f +18484,100%,Gambia,108.0,f +31543,,Nicaragua,1.0,t +25374,100%,Tonga,8.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +6744,100%,,1.0,f +22755,,,8.0,t +14133,100%,Guinea,1.0,f +38723,100%,Bosnia and Herzegovina,1.0,f +14514,,China,80.0,t +29520,,Nicaragua,54.0,f +8253,,Nicaragua,4.0,f +17243,100%,,11.0,f +16275,98%,Maldives,24.0,f +50078,100%,Chad,2.0,t +28376,100%,,1.0,f +28414,100%,Uzbekistan,22.0,f +28689,100%,Tonga,1.0,f +25147,99%,Niger,48.0,f +17560,100%,Kenya,1.0,f +33457,100%,Micronesia,1.0,t +21493,,Uzbekistan,6.0,f +5673,100%,,1.0,f +44367,91%,Brazil,12.0,f +37606,,Reunion,2.0,f +2807,100%,Nicaragua,1.0,f +38656,100%,Mauritania,8.0,f +22319,100%,Tanzania,2.0,f +48903,,Anguilla,1.0,t +541,93%,Marshall Islands,17.0,f +38825,100%,,2.0,f +35743,100%,Palestinian Territory,2.0,t +29906,100%,Fiji,2.0,f +19171,100%,Uzbekistan,1.0,f +12965,100%,Vietnam,11.0,t +3360,100%,United Kingdom,1.0,f +19626,100%,,1.0,f +13087,100%,Gibraltar,1.0,t +1406,0%,Guinea,1.0,t +11816,100%,Ecuador,1.0,f +36996,100%,Micronesia,1.0,t +29161,86%,Marshall Islands,1.0,f +25668,100%,Jersey,12.0,t +6177,100%,Niger,2.0,f +37448,100%,Russian Federation,1.0,t +16489,100%,Russian Federation,42.0,t +38510,100%,,1.0,t +10217,100%,Bosnia and Herzegovina,7.0,t +41057,,,1.0,t +21016,,,1.0,f +21058,100%,Tunisia,1.0,f +48084,,Niger,3.0,f +13070,100%,Fiji,45.0,f +33720,100%,,2.0,f +15325,100%,,1.0,f +41711,100%,Uzbekistan,2.0,f +4124,,,2.0,f +49046,100%,Barbados,1.0,t +30505,100%,Turkmenistan,2.0,f +37516,100%,Guinea,1.0,f +26287,100%,Tonga,2.0,f +3766,100%,Russian Federation,1.0,f +19811,90%,Nicaragua,21.0,t +7727,80%,Svalbard & Jan Mayen Islands,2.0,t +3109,100%,Marshall Islands,1.0,f +29945,100%,Korea,4.0,f +46637,78%,Uganda,1.0,f +29116,100%,El Salvador,19.0,t +29520,,Nicaragua,54.0,f +32500,,Malta,1.0,f +30216,98%,Maldives,34.0,f +42014,69%,China,17.0,f +32928,100%,Lebanon,1.0,t +30216,98%,Maldives,34.0,f +2149,,Maldives,1.0,f +30216,98%,Maldives,34.0,f +40645,100%,Cocos (Keeling) Islands,1.0,f +37858,92%,Anguilla,7.0,f +44174,100%,Guinea,2.0,t +21452,99%,Lebanon,29.0,f +21452,99%,Lebanon,29.0,f +23723,,Isle of Man,2.0,f +42461,100%,,4.0,t +21452,99%,Lebanon,29.0,f +3790,100%,Netherlands,16.0,f +35451,100%,Nicaragua,1.0,f +21452,99%,Lebanon,29.0,f +26636,100%,Barbados,2.0,f +21452,99%,Lebanon,29.0,f +21452,99%,Lebanon,29.0,f +19905,97%,Monaco,8.0,f +21452,99%,Lebanon,29.0,f +38549,100%,Chad,2.0,t +29520,,Nicaragua,54.0,f +21452,99%,Lebanon,29.0,f +19217,98%,Marshall Islands,46.0,f +42443,97%,Tonga,7.0,t +15843,100%,Slovakia (Slovak Republic),18.0,f +3714,100%,Estonia,1.0,f +10795,80%,,1.0,f +21508,100%,China,1.0,f +21452,99%,Lebanon,29.0,f +36446,100%,,1.0,t +31402,100%,Guinea,4.0,f +32007,80%,El Salvador,2.0,f +48455,89%,Uzbekistan,20.0,t +46296,100%,Faroe Islands,1.0,f +38277,100%,Guinea,1.0,f +29520,,Nicaragua,54.0,f +24594,100%,Rwanda,14.0,f +19072,100%,Anguilla,1.0,f +7435,75%,Holy See (Vatican City State),1.0,t +17815,80%,Ghana,3.0,f +17900,100%,Russian Federation,1.0,f +21452,99%,Lebanon,29.0,f +17619,74%,Ghana,14.0,f +854,100%,Venezuela,4.0,t +39298,,Malta,1.0,f +13820,,Bouvet Island (Bouvetoya),1.0,f +19330,100%,Kiribati,1.0,t +24599,,,1.0,t +44316,98%,Uganda,6.0,t +28828,100%,Isle of Man,198.0,t +31191,100%,Niger,1.0,f +22668,,Sao Tome and Principe,1.0,f +7512,100%,,1.0,f +43252,100%,Uzbekistan,1.0,t +22224,100%,Chad,3.0,f +9210,100%,,1.0,f +41546,100%,Mauritania,21.0,f +8355,87%,Togo,16.0,f +8912,,Lebanon,4.0,f +46706,,,1.0,f +2631,100%,Togo,2.0,f +8355,87%,Togo,16.0,f +5494,100%,Sao Tome and Principe,1.0,f +49147,83%,Turkmenistan,2.0,f +15741,100%,Cuba,14.0,f +4266,100%,,1.0,f +24993,67%,Canada,4.0,f +2534,100%,Malta,2.0,f +42340,,,2.0,f +810,100%,Brazil,2.0,f +48380,,Ghana,3.0,f +37735,100%,Uganda,13.0,t +916,100%,,1.0,f +10841,80%,,2.0,f +48396,,Togo,1.0,f +28959,99%,,7.0,f +37735,100%,Uganda,13.0,t +21358,100%,Congo,1.0,f +37735,100%,Uganda,13.0,t +44379,80%,El Salvador,8.0,t +42432,63%,,2.0,f +33165,,,1.0,f +45758,100%,Brazil,1.0,f +5390,100%,Tonga,1.0,f +12161,,,1.0,t +7620,100%,Togo,4.0,f +16814,60%,,1.0,f +36982,100%,Svalbard & Jan Mayen Islands,1.0,t +31019,100%,Ghana,5.0,f +28372,100%,Indonesia,12.0,f +17478,100%,Marshall Islands,2.0,f +6050,100%,,1.0,t +14130,,Russian Federation,10.0,f +42184,100%,Uzbekistan,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +41856,100%,Maldives,13.0,t +490,100%,Bosnia and Herzegovina,6.0,f +14130,,Russian Federation,10.0,f +40445,100%,Lebanon,1.0,f +44614,100%,Slovenia,2.0,f +18177,93%,Fiji,10.0,f +41856,100%,Maldives,13.0,t +43866,100%,Lithuania,1.0,f +8069,100%,Kiribati,1.0,f +28959,99%,,7.0,f +15847,,Uganda,13.0,f +15847,,Uganda,13.0,f +22115,100%,France,2.0,f +8585,100%,Uzbekistan,1.0,f +19625,100%,Costa Rica,2.0,f +47528,70%,Denmark,2.0,f +22376,100%,Vanuatu,6.0,f +3049,100%,,1.0,f +30675,67%,Guinea,3.0,f +46822,98%,,12.0,f +31466,100%,Uzbekistan,2.0,f +46822,98%,,12.0,f +26616,100%,Isle of Man,10.0,f +25687,100%,Anguilla,17.0,f +302,100%,Tunisia,20.0,f +30764,100%,Slovakia (Slovak Republic),8.0,t +5420,100%,Tonga,41.0,f +4147,100%,Niger,1.0,f +47667,,,1.0,f +24071,100%,Indonesia,22.0,f +47210,,Papua New Guinea,1.0,f +25687,100%,Anguilla,17.0,f +27155,100%,,1.0,f +32539,90%,,1.0,f +36315,75%,Denmark,1.0,f +27784,,Montserrat,5.0,f +25687,100%,Anguilla,17.0,f +28828,100%,Isle of Man,198.0,t +27130,100%,Croatia,1.0,f +23405,,Sao Tome and Principe,1.0,f +27784,,Montserrat,5.0,f +7268,100%,Denmark,3.0,f +20889,100%,Isle of Man,2.0,f +43362,100%,,1.0,f +24033,100%,Uganda,45.0,f +25687,100%,Anguilla,17.0,f +7275,,,2.0,f +33817,100%,Gibraltar,62.0,f +20399,,,1.0,f +8996,,Montserrat,2.0,t +8276,,Zimbabwe,2.0,f +33817,100%,Gibraltar,62.0,f +45119,,Rwanda,2.0,f +19688,100%,Malawi,2.0,t +18832,100%,Zimbabwe,8.0,f +242,100%,Denmark,1.0,f +24882,100%,Zimbabwe,2.0,t +49481,100%,Micronesia,1.0,f +27841,100%,Jersey,1.0,f +28205,,Iraq,22.0,f +48985,97%,Guinea,8.0,f +46879,100%,Netherlands,1.0,f +4826,100%,France,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +37455,,Sao Tome and Principe,2.0,f +7300,100%,,2.0,f +11657,100%,Uzbekistan,1.0,f +25374,100%,Tonga,8.0,f +9298,100%,Pakistan,15.0,f +17343,,,2.0,f +9298,100%,Pakistan,15.0,f +47025,90%,Guinea,2.0,t +49513,100%,Denmark,2.0,f +16770,83%,Tonga,2.0,f +2741,100%,Mauritania,2.0,f +25152,100%,Gambia,4.0,t +31539,100%,,1.0,f +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +31529,100%,Wallis and Futuna,6.0,f +47402,100%,,2.0,f +35373,100%,Gambia,1.0,f +46099,98%,Uzbekistan,28.0,f +24882,100%,Zimbabwe,2.0,t +27464,,Kiribati,1.0,t +38952,100%,Russian Federation,1.0,f +29377,90%,,2.0,f +40517,90%,Reunion,1.0,f +39168,83%,Tonga,6.0,f +33817,100%,Gibraltar,62.0,f +18077,100%,Sao Tome and Principe,139.0,f +39061,,Sao Tome and Principe,1.0,f +17869,100%,Reunion,5.0,t +21615,100%,Montserrat,4.0,f +20334,99%,Niger,171.0,t +44219,,Gambia,1.0,f +33817,100%,Gibraltar,62.0,f +40012,100%,Mexico,1.0,f +1835,100%,Ecuador,8.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +12665,100%,Maldives,2.0,f +24033,100%,Uganda,45.0,f +14087,100%,,5.0,f +20900,100%,Uganda,2.0,t +15789,100%,Niue,1.0,f +5266,100%,Russian Federation,1.0,f +572,100%,Uganda,1.0,f +3790,100%,Netherlands,16.0,f +24071,100%,Indonesia,22.0,f +13403,96%,Maldives,21.0,t +19015,100%,Sri Lanka,2.0,f +3631,100%,Anguilla,1.0,t +4068,100%,Togo,1.0,f +22376,100%,Vanuatu,6.0,f +43321,100%,France,40.0,f +17619,74%,Ghana,14.0,f +9363,95%,Ukraine,50.0,f +21452,99%,Lebanon,29.0,f +49771,100%,Turks and Caicos Islands,4.0,f +9354,100%,Spain,12.0,f +4162,,Zimbabwe,3.0,f +11007,73%,Kiribati,1.0,f +21452,99%,Lebanon,29.0,f +29614,100%,San Marino,1.0,f +37352,100%,Mauritania,2.0,f +35355,100%,Gambia,3.0,f +37902,100%,Zimbabwe,1.0,f +21780,100%,Bosnia and Herzegovina,1.0,t +44684,100%,Andorra,3.0,f +13236,100%,Vanuatu,1.0,f +48102,96%,Indonesia,4.0,f +2250,100%,Brazil,1.0,t +36658,94%,China,20.0,t +49771,100%,Turks and Caicos Islands,4.0,f +7812,100%,Bosnia and Herzegovina,8.0,f +2401,100%,,2.0,t +17619,74%,Ghana,14.0,f +6234,100%,Isle of Man,4.0,t +22145,,,1.0,f +3806,,,11.0,f +41501,100%,Montserrat,2.0,t +34642,100%,,2.0,f +19904,100%,Kiribati,1.0,t +33902,,Libyan Arab Jamahiriya,1.0,f +13070,100%,Fiji,45.0,f +18146,100%,,2.0,t +47203,100%,,1.0,f +30936,100%,Monaco,1.0,t +14681,100%,Uzbekistan,1.0,t +29073,90%,Canada,1.0,t +7620,100%,Togo,4.0,f +8126,56%,,2.0,f +37735,100%,Uganda,13.0,t +13065,100%,Jersey,5.0,f +9236,80%,,1.0,f +49768,80%,Montserrat,7.0,t +25505,,,1.0,f +46113,100%,United Kingdom,2.0,f +1657,,Croatia,13.0,t +37735,100%,Uganda,13.0,t +39214,88%,Vietnam,2.0,f +21629,90%,Bouvet Island (Bouvetoya),1.0,f +5189,100%,Venezuela,2.0,f +45737,,Tonga,29.0,t +26386,100%,Fiji,25.0,t +36942,82%,Uzbekistan,3.0,t +26370,100%,,4.0,t +41837,100%,Brazil,2.0,t +41329,100%,Reunion,1.0,f +22551,100%,,2.0,f +14048,100%,Finland,6.0,t +3945,71%,,1.0,t +47251,90%,,2.0,t +43321,100%,France,40.0,f +40622,100%,Malta,1.0,f +31092,,Senegal,19.0,f +41834,100%,Micronesia,2.0,f +21575,100%,Saint Helena,1.0,f +40934,100%,Brazil,3.0,f +32458,92%,Vietnam,4.0,f +25565,90%,Niue,1.0,f +1215,100%,Sao Tome and Principe,1.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +34085,89%,Cocos (Keeling) Islands,3.0,t +42014,69%,China,17.0,f +20263,99%,Maldives,35.0,t +14476,100%,Kiribati,6.0,f +39546,100%,,1.0,f +48601,,,3.0,f +26160,,Lebanon,1.0,f +23981,100%,Nicaragua,1.0,f +5591,99%,Indonesia,16.0,t +5235,100%,Afghanistan,1.0,t +21740,100%,,2.0,f +5378,100%,Uzbekistan,1.0,f +49422,100%,Sao Tome and Principe,1.0,f +37763,80%,Guinea,2.0,f +24896,100%,Algeria,50.0,t +9809,100%,Malta,1.0,f +15427,100%,Malta,3.0,f +15411,100%,Nauru,2.0,t +21309,100%,Svalbard & Jan Mayen Islands,1.0,f +13212,100%,Zimbabwe,12.0,t +22472,100%,Vanuatu,1.0,t +46486,100%,Nicaragua,1.0,f +2041,100%,Zimbabwe,1.0,f +18362,100%,Uganda,5.0,f +9458,100%,Reunion,2.0,f +2266,100%,Tonga,10.0,t +47237,94%,Marshall Islands,5.0,f +7309,100%,Togo,4.0,f +49987,100%,,19.0,f +37646,100%,Estonia,60.0,f +4267,100%,Senegal,22.0,t +29001,50%,,1.0,f +38101,100%,Switzerland,1.0,f +20754,,China,13.0,f +21700,100%,Mauritania,1.0,f +47252,,Afghanistan,2.0,f +20552,100%,Peru,1.0,f +8340,100%,Maldives,2.0,f +29286,100%,,1.0,f +20932,,,1.0,t +16844,,,1.0,f +356,99%,Wallis and Futuna,32.0,t +45347,,Gambia,1.0,f +22734,88%,Puerto Rico,1.0,f +13065,100%,Jersey,5.0,f +13065,100%,Jersey,5.0,f +10714,,,1.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36087,100%,,8.0,f +36669,,,1.0,f +14208,93%,,3.0,f +14208,93%,,3.0,f +35070,100%,,3.0,f +27415,100%,,1.0,f +18177,93%,Fiji,10.0,f +47945,,,2.0,f +42440,100%,Kiribati,1.0,t +48869,100%,Slovakia (Slovak Republic),22.0,f +44169,97%,Portugal,39.0,f +27908,100%,Saint Barthelemy,3.0,t +27719,89%,,4.0,f +14531,100%,Tonga,3.0,f +23967,100%,France,2.0,f +47618,60%,,1.0,f +26848,100%,El Salvador,1.0,f +28414,100%,Uzbekistan,22.0,f +32542,100%,,2.0,f +25202,100%,Cuba,3.0,f +43005,100%,Senegal,3.0,f +33638,100%,Sao Tome and Principe,3.0,f +16652,40%,,1.0,f +25913,89%,Uzbekistan,1.0,f +13658,,,1.0,f +7774,100%,,1.0,t +33356,100%,Jersey,1.0,f +24493,,Bosnia and Herzegovina,3.0,f +36731,100%,Nicaragua,7.0,f +4882,,Switzerland,3.0,f +22114,100%,,1.0,t +45525,93%,Tonga,9.0,f +27784,,Montserrat,5.0,f +24488,100%,Kenya,3.0,t +1092,,Nauru,1.0,f +27753,100%,Uganda,3.0,f +24488,100%,Kenya,3.0,t +41270,100%,,1.0,f +17869,100%,Reunion,5.0,t +32586,,Kiribati,1.0,f +28294,100%,Puerto Rico,1.0,f +5045,70%,Zimbabwe,2.0,f +2908,100%,Maldives,1.0,f +798,100%,,1.0,f +34735,100%,,1.0,f +20789,98%,Sao Tome and Principe,13.0,f +31676,100%,,1.0,f +18440,100%,Denmark,1.0,f +26675,100%,,3.0,f +26386,100%,Fiji,25.0,t +21056,,,1.0,f +47580,90%,Micronesia,2.0,t +13337,100%,Indonesia,1.0,f +3254,,Tonga,16.0,t +45967,,Russian Federation,1.0,f +25012,100%,Niue,1.0,f +36253,100%,Nauru,21.0,t +32977,100%,,2.0,f +11469,100%,Guinea,2.0,f +21403,95%,Vietnam,8.0,f +13503,,,1.0,f +22723,,,1.0,f +27907,100%,Puerto Rico,21.0,f +34608,67%,Sao Tome and Principe,1.0,t +4316,100%,Micronesia,18.0,f +13224,100%,Malta,1.0,f +47873,100%,Papua New Guinea,1.0,f +35660,100%,Faroe Islands,1.0,t +13136,100%,Cape Verde,1.0,f +752,100%,Brazil,3.0,t +18484,100%,Gambia,108.0,f +19214,100%,Senegal,55.0,f +7971,100%,Malta,3.0,f +47986,100%,,2.0,f +4856,100%,Philippines,5.0,f +18901,100%,Turks and Caicos Islands,1.0,f +49591,100%,Turks and Caicos Islands,2.0,f +17243,100%,,11.0,f +34876,100%,Niue,2.0,f +1913,100%,Niue,2.0,f +10627,100%,,1.0,f +42840,100%,Niger,1.0,f +27784,,Montserrat,5.0,f +5313,90%,Cook Islands,4.0,f +5591,99%,Indonesia,16.0,t +26401,100%,,1.0,f +1335,100%,Nicaragua,3.0,f +43800,100%,Maldives,5.0,t +19214,100%,Senegal,55.0,f +43341,100%,United Kingdom,1.0,f +15581,100%,,1.0,f +43323,100%,Greenland,1.0,f +11305,,,23.0,f +18812,100%,Guinea,1.0,f +23855,94%,France,2.0,t +46769,100%,Venezuela,1.0,f +26559,,Guinea,4.0,t +23695,100%,France,3.0,f +15968,100%,,1.0,f +46657,100%,Mauritania,1.0,f +14421,100%,Isle of Man,1.0,t +15184,100%,Maldives,1.0,t +29935,100%,Gambia,2.0,t +16520,100%,Marshall Islands,22.0,f +1967,100%,Denmark,1.0,t +26721,,United Kingdom,1.0,t +2548,97%,Marshall Islands,3.0,f +14014,100%,Kenya,1.0,f +4261,100%,Brazil,1.0,f +8950,,Vanuatu,1.0,f +17260,100%,Isle of Man,1.0,f +2776,100%,,1.0,f +18333,80%,Niue,1.0,t +3532,100%,Congo,1.0,f +36325,100%,Nauru,2.0,f +36499,75%,Anguilla,25.0,t +27590,100%,Suriname,8.0,t +23404,91%,Malta,1.0,f +13774,100%,Turks and Caicos Islands,1.0,t +45525,93%,Tonga,9.0,f +35167,100%,Korea,2.0,t +6639,100%,Faroe Islands,1.0,f +22202,100%,Jersey,1.0,f +33915,97%,,1.0,f +22760,100%,Nicaragua,1.0,t +29523,100%,,1.0,f +25668,100%,Jersey,12.0,t +33817,100%,Gibraltar,62.0,f +49812,100%,Kenya,2.0,t +14548,100%,Liberia,2.0,t +40378,100%,Chad,3.0,f +18484,100%,Gambia,108.0,f +16436,100%,,1.0,t +38990,100%,Gambia,1.0,f +43549,50%,United Kingdom,1.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +20942,90%,Russian Federation,2.0,f +21452,99%,Lebanon,29.0,f +2962,100%,Sao Tome and Principe,2.0,t +15651,,Libyan Arab Jamahiriya,1.0,f +15270,98%,Suriname,3.0,f +4780,100%,Svalbard & Jan Mayen Islands,1.0,f +18162,75%,Sao Tome and Principe,2.0,f +48117,98%,Ukraine,41.0,f +4477,90%,French Guiana,14.0,f +48337,100%,Rwanda,1.0,f +16504,100%,,1.0,t +27321,90%,Micronesia,4.0,f +12730,100%,Tonga,4.0,f +36210,100%,Marshall Islands,1.0,f +12730,100%,Tonga,4.0,f +12730,100%,Tonga,4.0,f +20334,99%,Niger,171.0,t +49946,80%,Niue,1.0,f +5789,,Mexico,1.0,t +29520,,Nicaragua,54.0,f +17978,100%,Kiribati,2.0,t +33573,33%,,1.0,f +45078,100%,Barbados,1.0,f +29520,,Nicaragua,54.0,f +48445,,Zimbabwe,1.0,f +12664,100%,Ecuador,1.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +33433,100%,Rwanda,9.0,f +20334,99%,Niger,171.0,t +33825,100%,Russian Federation,1.0,f +37992,100%,Guinea,1.0,t +29123,100%,Zimbabwe,16.0,t +26905,50%,Puerto Rico,2.0,f +36333,100%,Turks and Caicos Islands,2.0,f +38841,100%,Turkmenistan,1.0,f +16682,70%,,1.0,f +47883,100%,Russian Federation,1.0,f +31707,100%,Niger,48.0,f +42446,,Turkmenistan,1.0,f +12730,100%,Tonga,4.0,f +14142,,Svalbard & Jan Mayen Islands,1.0,f +5591,99%,Indonesia,16.0,t +23589,100%,Guinea,2.0,f +34192,75%,Tanzania,3.0,f +17872,100%,Maldives,2.0,t +978,95%,Lithuania,29.0,f +41779,100%,Ghana,1.0,f +7046,100%,Ecuador,1.0,f +6835,100%,,1.0,t +46829,,China,1.0,t +45814,,Monaco,1.0,f +18484,100%,Gambia,108.0,f +4654,100%,Cape Verde,3.0,f +44944,0%,,1.0,f +40577,,France,1.0,f +6960,,Greenland,4.0,f +8029,100%,Djibouti,1.0,f +36722,100%,Philippines,17.0,f +25540,70%,Rwanda,1.0,t +28973,75%,Gambia,1.0,f +9325,,,1.0,t +31994,,Mexico,1.0,f +22467,100%,Estonia,2.0,f +31234,100%,Uzbekistan,1.0,f +43854,100%,Ecuador,3.0,f +20754,,China,13.0,f +20754,,China,13.0,f +20754,,China,13.0,f +20754,,China,13.0,f +2849,83%,,1.0,t +15762,,Niger,2.0,f +26476,100%,Kiribati,1.0,f +5179,,,12.0,f +45687,100%,Greenland,2.0,f +41381,100%,Niue,1.0,f +33072,100%,El Salvador,4.0,f +15741,100%,Cuba,14.0,f +48594,80%,,1.0,f +15741,100%,Cuba,14.0,f +33433,100%,Rwanda,9.0,f +49882,100%,Senegal,1.0,f +1900,100%,Tunisia,5.0,t +38549,100%,Chad,2.0,t +47773,100%,Zimbabwe,1.0,f +48601,,,3.0,f +4137,100%,Papua New Guinea,4.0,t +45205,100%,Denmark,1.0,f +27768,65%,Kiribati,15.0,t +44575,100%,Cuba,1.0,f +1509,100%,Vanuatu,4.0,f +6708,60%,Portugal,1.0,f +35439,94%,United Kingdom,23.0,t +6960,,Greenland,4.0,f +44169,97%,Portugal,39.0,f +15746,83%,China,3.0,f +18019,100%,Togo,2.0,f +23900,88%,,42.0,f +10020,90%,China,5.0,f +41476,,Denmark,1.0,f +41102,100%,Sao Tome and Principe,1.0,f +31637,100%,Estonia,1.0,f +10565,100%,Andorra,1.0,f +14514,,China,80.0,t +26785,100%,Zimbabwe,1.0,f +978,95%,Lithuania,29.0,f +40797,100%,Brazil,2.0,t +33817,100%,Gibraltar,62.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +49636,100%,,1.0,f +4910,100%,Cocos (Keeling) Islands,1.0,f +17594,100%,Sao Tome and Principe,3.0,f +6847,100%,Vietnam,4.0,f +13914,100%,Libyan Arab Jamahiriya,2.0,f +42234,100%,Estonia,1.0,f +24896,100%,Algeria,50.0,t +23061,90%,Uganda,2.0,f +6477,100%,Nicaragua,2.0,f +23589,100%,Guinea,2.0,f +31779,100%,Uzbekistan,2.0,f +22756,100%,Uzbekistan,2.0,f +4477,90%,French Guiana,14.0,f +44881,,,1.0,f +8282,100%,Guinea,2.0,t +40579,30%,Montserrat,2.0,t +19214,100%,Senegal,55.0,f +3791,100%,Uganda,4.0,f +45047,,Malta,1.0,t +15398,,,1.0,f +46794,100%,,2.0,f +46669,86%,Brazil,11.0,f +48133,,Isle of Man,45.0,f +46669,86%,Brazil,11.0,f +37293,92%,Russian Federation,15.0,f +15351,,Cape Verde,1.0,f +13042,100%,Costa Rica,5.0,f +31383,100%,Spain,4.0,f +44331,100%,Andorra,2.0,f +47472,100%,Nicaragua,4.0,f +36127,100%,,16.0,f +4654,100%,Cape Verde,3.0,f +3771,100%,,3.0,f +20198,,Nicaragua,1.0,f +47472,100%,Nicaragua,4.0,f +6894,80%,Estonia,47.0,t +34192,75%,Tanzania,3.0,f +31641,100%,Kiribati,3.0,f +9516,99%,Pakistan,45.0,t +4477,90%,French Guiana,14.0,f +30713,100%,Guinea,1.0,f +9516,99%,Pakistan,45.0,t +12185,78%,Fiji,1.0,t +43292,100%,,1.0,f +3791,100%,Uganda,4.0,f +25002,,China,12.0,f +15466,100%,Senegal,4.0,f +22721,100%,Ecuador,109.0,f +33478,100%,Estonia,2.0,t +46078,80%,Malta,1.0,f +25544,100%,Micronesia,1.0,f +27768,65%,Kiribati,15.0,t +49039,100%,,1.0,f +8912,,Lebanon,4.0,f +22756,100%,Uzbekistan,2.0,f +38795,100%,Isle of Man,1.0,f +2885,100%,,1.0,t +44773,100%,,1.0,f +41994,,Portugal,2.0,f +44669,33%,France,1.0,f +45426,100%,France,2.0,f +14679,100%,,1.0,f +23704,100%,France,1.0,f +4186,100%,Chile,1.0,f +18195,78%,,1.0,t +13520,100%,,1.0,f +34095,100%,Russian Federation,3.0,f +35105,100%,Gambia,4.0,f +43837,,,1.0,t +5887,100%,Netherlands,2.0,f +16377,,Gambia,5.0,f +46243,71%,Kiribati,1.0,f +35554,100%,,2.0,f +6663,95%,Gambia,5.0,f +44537,100%,Tonga,7.0,f +3132,100%,,1.0,f +41493,100%,Gambia,5.0,f +49817,,,1.0,f +30528,100%,,1.0,f +17075,100%,,2.0,t +17921,100%,Cuba,1.0,t +26732,,Djibouti,2.0,t +12250,100%,Montserrat,1.0,f +26199,100%,,1.0,f +36475,100%,Guernsey,4.0,t +33330,100%,,1.0,t +23247,100%,Turks and Caicos Islands,2.0,f +32457,100%,Tonga,1.0,t +18484,100%,Gambia,108.0,f +23012,100%,Isle of Man,1.0,f +48117,98%,Ukraine,41.0,f +40793,100%,,75.0,t +2681,100%,Russian Federation,1.0,f +7591,100%,Isle of Man,1.0,f +43656,92%,Saint Helena,2.0,f +41604,100%,Tonga,4.0,f +44812,90%,Philippines,1.0,f +29520,,Nicaragua,54.0,f +14242,,,1.0,f +19046,100%,,1.0,f +14006,93%,Maldives,2.0,f +13383,100%,,1.0,f +42647,100%,Mauritania,1.0,f +41373,,Lebanon,8.0,f +3417,,Fiji,32.0,t +12320,100%,Bosnia and Herzegovina,20.0,f +38114,94%,Uzbekistan,19.0,f +5420,100%,Tonga,41.0,f +24026,98%,Cape Verde,69.0,t +12137,99%,Sao Tome and Principe,33.0,t +24026,98%,Cape Verde,69.0,t +40793,100%,,75.0,t +21690,100%,Anguilla,5.0,t +28291,90%,Afghanistan,5.0,t +27016,100%,Gambia,1.0,t +37866,,Mexico,1.0,f +38114,94%,Uzbekistan,19.0,f +38114,94%,Uzbekistan,19.0,f +48685,100%,Russian Federation,5.0,f +38114,94%,Uzbekistan,19.0,f +33817,100%,Gibraltar,62.0,f +48357,100%,Denmark,1.0,f +38114,94%,Uzbekistan,19.0,f +43753,100%,,2.0,f +6523,100%,Niue,1.0,f +25765,100%,Sao Tome and Principe,1.0,f +21302,100%,Nicaragua,4.0,f +23302,100%,Uzbekistan,1.0,f +34042,100%,Marshall Islands,37.0,f +3406,91%,Monaco,6.0,t +29191,100%,Guinea,1.0,f +21302,100%,Nicaragua,4.0,f +48409,,Estonia,60.0,t +13146,100%,,1.0,f +16973,100%,Lithuania,1.0,f +23393,100%,Denmark,2.0,f +1948,63%,Rwanda,3.0,f +39929,100%,Guinea,2.0,f +34419,,Lebanon,1.0,f +38114,94%,Uzbekistan,19.0,f +3791,100%,Uganda,4.0,f +46806,100%,Maldives,1.0,f +15620,95%,Marshall Islands,5.0,f +8934,84%,Marshall Islands,2.0,f +44930,100%,Denmark,2.0,t +27744,100%,Venezuela,1.0,t +20789,98%,Sao Tome and Principe,13.0,f +42879,100%,Gambia,1.0,f +6821,100%,Lithuania,1.0,f +47304,67%,,1.0,t +32975,100%,Micronesia,3.0,f +44857,100%,Zimbabwe,24.0,t +17608,0%,,1.0,f +44782,100%,,2.0,f +26397,100%,Kenya,1.0,t +16560,,Isle of Man,1.0,f +26526,94%,Tonga,8.0,f +12911,100%,Maldives,1.0,f +2939,100%,Holy See (Vatican City State),1.0,f +25147,99%,Niger,48.0,f +20135,100%,Niue,1.0,t +44769,0%,Fiji,1.0,f +20099,0%,Isle of Man,1.0,f +8800,100%,,3.0,f +31120,98%,,7.0,f +42828,,Ghana,1.0,f +5145,100%,Niue,2.0,f +4204,100%,Micronesia,1.0,f +21454,,Turkmenistan,1.0,f +23681,100%,Saint Helena,4.0,t +20849,100%,Marshall Islands,1.0,f +2272,80%,Lithuania,1.0,f +40543,,Indonesia,3.0,f +22359,100%,,3.0,f +14720,100%,Korea,2.0,f +43494,98%,Saint Helena,5.0,f +25668,100%,Jersey,12.0,t +11061,100%,Togo,2.0,f +12812,99%,Croatia,32.0,f +4316,100%,Micronesia,18.0,f +31581,,Cook Islands,1.0,f +31120,98%,,7.0,f +33170,100%,Tonga,2.0,t +22359,100%,,3.0,f +22359,100%,,3.0,f +48502,100%,Nicaragua,11.0,t +7593,100%,Senegal,2.0,f +48502,100%,Nicaragua,11.0,t +6713,100%,Mauritania,10.0,f +48502,100%,Nicaragua,11.0,t +46212,100%,China,4.0,f +41427,100%,,1.0,f +20153,96%,Reunion,51.0,f +27263,80%,China,5.0,f +34416,100%,Guinea,5.0,f +48114,80%,China,3.0,t +15316,100%,Russian Federation,1.0,t +34416,100%,Guinea,5.0,f +43590,100%,Costa Rica,9.0,f +34416,100%,Guinea,5.0,f +1444,67%,Isle of Man,3.0,f +18320,50%,Reunion,19.0,t +34416,100%,Guinea,5.0,f +18320,50%,Reunion,19.0,t +19304,100%,Cape Verde,1.0,t +45064,98%,Anguilla,15.0,f +23078,100%,Ukraine,8.0,f +25582,100%,French Guiana,1.0,t +48802,100%,Niue,1.0,f +3300,0%,Vanuatu,1.0,f +48439,100%,Guinea,2.0,f +43494,98%,Saint Helena,5.0,f +42805,,Russian Federation,2.0,f +3386,100%,Isle of Man,2.0,f +20428,100%,Cocos (Keeling) Islands,2.0,f +21799,100%,Guinea,1.0,f +12365,,Niue,3.0,f +31072,100%,Montserrat,6.0,t +24374,100%,Zimbabwe,1.0,f +15245,100%,,11.0,f +20165,94%,Ukraine,30.0,f +33817,100%,Gibraltar,62.0,f +26652,97%,Pakistan,6.0,f +18320,50%,Reunion,19.0,t +13070,100%,Fiji,45.0,f +15535,100%,Niue,1.0,f +29520,,Nicaragua,54.0,f +46384,100%,Palestinian Territory,1.0,t +25381,100%,,5.0,f +36408,100%,Nauru,5.0,f +35090,100%,Niger,2.0,f +38143,100%,Russian Federation,1.0,f +16142,,Bosnia and Herzegovina,1.0,t +32203,100%,Barbados,176.0,f +33817,100%,Gibraltar,62.0,f +2166,,Kenya,4.0,t +31072,100%,Montserrat,6.0,t +48685,100%,Russian Federation,5.0,f +27546,100%,Netherlands Antilles,2.0,t +34169,,Lebanon,3.0,t +34818,,Jersey,1.0,f +23149,94%,Estonia,1.0,f +24588,,,1.0,f +12137,99%,Sao Tome and Principe,33.0,t +45525,93%,Tonga,9.0,f +25147,99%,Niger,48.0,f +14514,,China,80.0,t +27035,90%,,1.0,f +36093,100%,Denmark,18.0,t +40793,100%,,75.0,t +23164,100%,China,12.0,t +9363,95%,Ukraine,50.0,f +19128,100%,Uzbekistan,12.0,t +10031,100%,Nicaragua,2.0,f +17920,96%,,9.0,f +19214,100%,Senegal,55.0,f +9363,95%,Ukraine,50.0,f +4682,100%,Vanuatu,5.0,f +34802,100%,,1.0,f +9363,95%,Ukraine,50.0,f +43903,100%,,1.0,f +42612,100%,,1.0,f +43494,98%,Saint Helena,5.0,f +5145,100%,Niue,2.0,f +28598,50%,Peru,1.0,f +12812,99%,Croatia,32.0,f +409,100%,,1.0,f +12812,99%,Croatia,32.0,f +30956,,Rwanda,1.0,f +28316,100%,,2.0,f +18898,100%,,1.0,f +10103,100%,Zimbabwe,1.0,f +22220,100%,Indonesia,1.0,f +19749,100%,Denmark,6.0,t +49796,67%,,1.0,f +7984,100%,,1.0,f +39441,96%,Cuba,4.0,f +31120,98%,,7.0,f +49594,100%,Uganda,7.0,f +28156,100%,Lebanon,2.0,f +38319,100%,Nicaragua,20.0,f +30621,60%,,3.0,f +28159,100%,French Polynesia,1.0,f +2846,62%,United Kingdom,2.0,t +18442,100%,Reunion,5.0,t +26526,94%,Tonga,8.0,f +36640,100%,Uganda,6.0,f +18177,93%,Fiji,10.0,f +44316,98%,Uganda,6.0,t +34309,100%,Kenya,1.0,f +10352,100%,Jersey,1.0,t +33817,100%,Gibraltar,62.0,f +13955,,China,2.0,f +19039,94%,Bahrain,17.0,f +20153,96%,Reunion,51.0,f +17286,100%,,1.0,f +25011,100%,Kenya,1.0,t +19039,94%,Bahrain,17.0,f +1702,100%,,1.0,f +19039,94%,Bahrain,17.0,f +22391,96%,Niger,2.0,f +40884,50%,Zimbabwe,1.0,t +9354,100%,Spain,12.0,f +47347,100%,Ecuador,3.0,f +18832,100%,Zimbabwe,8.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +49771,100%,Turks and Caicos Islands,4.0,f +40023,100%,Uganda,6.0,t +4267,100%,Senegal,22.0,t +18817,100%,Togo,2.0,f +5177,,Sao Tome and Principe,1.0,f +47711,100%,,1.0,f +10755,,,1.0,f +18817,100%,Togo,2.0,f +6811,100%,Monaco,3.0,f +20354,100%,Kiribati,1.0,f +48955,100%,Somalia,1.0,f +31377,100%,Isle of Man,1.0,f +16373,100%,Guinea,2.0,t +46251,100%,,1.0,f +11413,98%,Somalia,8.0,f +25381,100%,,5.0,f +11413,98%,Somalia,8.0,f +6269,100%,,1.0,f +49354,88%,Philippines,3.0,f +11413,98%,Somalia,8.0,f +25147,99%,Niger,48.0,f +18484,100%,Gambia,108.0,f +17507,100%,Guinea,6.0,f +36640,100%,Uganda,6.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +7309,100%,Togo,4.0,f +30531,100%,Zimbabwe,1.0,f +28621,100%,Marshall Islands,1.0,f +4976,100%,,1.0,f +4477,90%,French Guiana,14.0,f +4477,90%,French Guiana,14.0,f +12320,100%,Bosnia and Herzegovina,20.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +5345,100%,,2.0,f +36640,100%,Uganda,6.0,f +30447,80%,Lebanon,1.0,t +12247,100%,Maldives,33.0,f +24579,,,3.0,f +25381,100%,,5.0,f +25381,100%,,5.0,f +25381,100%,,5.0,f +44776,100%,Vanuatu,1.0,f +24579,,,3.0,f +8253,,Nicaragua,4.0,f +32787,100%,Uzbekistan,2.0,t +48252,,Vanuatu,4.0,f +5124,100%,Isle of Man,1.0,f +38586,,Isle of Man,1.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +31781,95%,Guinea,6.0,f +25482,,Marshall Islands,1.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +28965,90%,Pakistan,2.0,f +15817,100%,Barbados,4.0,t +41871,100%,Mauritania,1.0,t +4972,100%,,1.0,t +4330,94%,Ukraine,60.0,t +23641,100%,Niue,1.0,f +1509,100%,Vanuatu,4.0,f +1509,100%,Vanuatu,4.0,f +7620,100%,Togo,4.0,f +7620,100%,Togo,4.0,f +44371,100%,,3.0,f +44371,100%,,3.0,f +11679,100%,,2.0,f +45645,100%,,1.0,f +23247,100%,Turks and Caicos Islands,2.0,f +37815,88%,Kenya,3.0,f +43712,,Sao Tome and Principe,1.0,f +21144,,Mauritania,2.0,t +24565,100%,Anguilla,4.0,f +32618,100%,Anguilla,2.0,f +35520,100%,,1.0,f +20312,100%,Papua New Guinea,2.0,f +39436,100%,United Kingdom,2.0,f +18228,100%,Afghanistan,1.0,t +3680,100%,Indonesia,1.0,f +17044,80%,Bouvet Island (Bouvetoya),1.0,t +45986,100%,Holy See (Vatican City State),1.0,f +25339,100%,,1.0,f +25744,90%,Mauritania,1.0,f +17675,60%,Svalbard & Jan Mayen Islands,2.0,t +30748,,Guinea,5.0,f +33759,94%,Ghana,1.0,f +47626,100%,,1.0,f +18894,,,1.0,f +37492,100%,Niue,1.0,f +8021,100%,El Salvador,2.0,f +44477,90%,Maldives,3.0,t +15990,90%,Portugal,3.0,f +43095,100%,Chad,2.0,t +14476,100%,Kiribati,6.0,f +7589,100%,Uzbekistan,3.0,f +15990,90%,Portugal,3.0,f +386,100%,Chile,1.0,f +42010,,Gambia,4.0,t +14171,100%,Russian Federation,3.0,f +26000,100%,,1.0,t +17657,67%,Kenya,1.0,f +44586,85%,Ukraine,13.0,f +48987,100%,,2.0,f +21154,100%,,1.0,f +10373,90%,Bouvet Island (Bouvetoya),2.0,f +23041,100%,,1.0,t +44586,85%,Ukraine,13.0,f +3274,86%,Barbados,24.0,f +7827,,Guinea,1.0,f +28414,100%,Uzbekistan,22.0,f +40582,57%,Kenya,4.0,t +31781,95%,Guinea,6.0,f +4918,,,1.0,f +5102,100%,Nicaragua,2.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +26454,100%,Bouvet Island (Bouvetoya),12.0,f +1805,100%,Philippines,1.0,t +43287,100%,Lebanon,1.0,t +26454,100%,Bouvet Island (Bouvetoya),12.0,f +41812,100%,Indonesia,1.0,t +26454,100%,Bouvet Island (Bouvetoya),12.0,f +26675,100%,,3.0,f +36644,100%,Ecuador,4.0,t +21187,100%,Niger,2.0,f +45552,93%,Nicaragua,12.0,t +42037,100%,,1.0,f +6188,100%,Denmark,1.0,f +26182,100%,,1.0,t +41757,100%,Malta,5.0,f +18005,100%,,1.0,t +636,97%,Vanuatu,3.0,f +11679,100%,,2.0,f +37947,100%,Jersey,1.0,f +8190,100%,,1.0,f +4069,100%,Togo,1.0,f +43165,,,1.0,f +34416,100%,Guinea,5.0,f +24753,100%,,1.0,t +36998,92%,Lebanon,10.0,f +36784,,,1.0,f +12206,100%,Bouvet Island (Bouvetoya),2.0,f +19449,100%,,3.0,f +24565,100%,Anguilla,4.0,f +27342,100%,Mauritania,1.0,f +13033,80%,Moldova,3.0,t +26454,100%,Bouvet Island (Bouvetoya),12.0,f +6576,100%,Gibraltar,3.0,t +26454,100%,Bouvet Island (Bouvetoya),12.0,f +4525,98%,El Salvador,9.0,t +26454,100%,Bouvet Island (Bouvetoya),12.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +13651,100%,El Salvador,1.0,f +5057,100%,Zimbabwe,23.0,t +42645,100%,China,2.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +4540,100%,,2.0,f +38524,100%,Libyan Arab Jamahiriya,1.0,t +1146,95%,French Polynesia,9.0,f +21945,90%,Denmark,2.0,f +35972,100%,,3.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +30106,100%,,1.0,f +3882,90%,Nicaragua,1.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +23607,100%,Niue,1.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +28369,90%,Sao Tome and Principe,9.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +3003,100%,,1.0,f +4819,100%,Bouvet Island (Bouvetoya),11.0,f +11543,44%,,2.0,f +7754,100%,Sao Tome and Principe,1.0,f +7530,100%,Lebanon,1.0,f +21773,100%,Papua New Guinea,2.0,f +13641,85%,Mauritania,23.0,f +43044,100%,Micronesia,2.0,t +28369,90%,Sao Tome and Principe,9.0,f +21632,100%,Wallis and Futuna,2.0,f +28369,90%,Sao Tome and Principe,9.0,f +25773,75%,,1.0,f +48219,100%,,2.0,t +15587,80%,Gibraltar,1.0,t +12129,,,1.0,f +23080,50%,Nicaragua,1.0,f +44379,80%,El Salvador,8.0,t +16623,80%,Denmark,1.0,f +24392,,Zimbabwe,1.0,f +48171,100%,,1.0,f +7928,100%,,1.0,f +48219,100%,,2.0,t +42167,100%,Sao Tome and Principe,1.0,f +22701,100%,,1.0,f +16546,100%,,1.0,f +35005,100%,Uzbekistan,4.0,f +12812,99%,Croatia,32.0,f +15292,,Barbados,4.0,t +23882,100%,,1.0,f +15837,100%,,1.0,t +8241,100%,Malta,2.0,f +27943,100%,Chile,1.0,f +11917,85%,,1.0,t +49680,,Estonia,1.0,t +2710,40%,,1.0,f +37396,100%,Turkmenistan,1.0,f +48508,100%,Marshall Islands,2.0,f +9516,99%,Pakistan,45.0,t +36994,100%,Isle of Man,2.0,t +20826,100%,,1.0,f +35005,100%,Uzbekistan,4.0,f +15338,,France,1.0,f +16533,,Gambia,1.0,t +40698,100%,Micronesia,3.0,f +41354,100%,Micronesia,4.0,t +1414,100%,Christmas Island,1.0,f +5893,100%,Guinea,4.0,f +47193,100%,Moldova,3.0,f +11750,100%,Gambia,2.0,f +42052,100%,El Salvador,1.0,t +29916,100%,Niue,4.0,t +12638,100%,,1.0,f +23034,99%,Monaco,54.0,f +42058,,Nicaragua,1.0,f +2180,0%,Australia,1.0,f +44169,97%,Portugal,39.0,f +11691,100%,,1.0,f +33559,100%,Vietnam,1.0,f +33817,100%,Gibraltar,62.0,f +48131,100%,Micronesia,1.0,f +24033,100%,Uganda,45.0,f +28900,60%,,1.0,f +44584,89%,Sao Tome and Principe,2.0,f +17858,,Uganda,1.0,f +23397,67%,,1.0,f +5420,100%,Tonga,41.0,f +22027,67%,Togo,1.0,f +11921,100%,Western Sahara,2.0,t +47017,100%,Turks and Caicos Islands,3.0,t +18484,100%,Gambia,108.0,f +6413,,Netherlands,1.0,f +49076,97%,Kenya,12.0,t +26095,100%,Gambia,2.0,f +42014,69%,China,17.0,f +38580,100%,,1.0,f +18320,50%,Reunion,19.0,t +18160,100%,Indonesia,1.0,f +16329,100%,Turks and Caicos Islands,1.0,f +37778,92%,Tonga,24.0,f +11129,90%,,1.0,f +29520,,Nicaragua,54.0,f +19879,99%,Guinea,19.0,f +44339,100%,Mexico,1.0,f +29520,,Nicaragua,54.0,f +3455,100%,,1.0,f +48117,98%,Ukraine,41.0,f +34042,100%,Marshall Islands,37.0,f +45818,,Kenya,1.0,f +29520,,Nicaragua,54.0,f +24302,100%,Cape Verde,6.0,f +47104,100%,Gibraltar,1.0,f +32196,100%,,1.0,f +3417,,Fiji,32.0,t +27334,100%,China,16.0,f +1626,100%,Uganda,2.0,t +31616,100%,Uzbekistan,1.0,f +18832,100%,Zimbabwe,8.0,f +3761,100%,Cocos (Keeling) Islands,1.0,f +667,100%,Croatia,4.0,t +45864,,Slovakia (Slovak Republic),1.0,f +30011,100%,Indonesia,1.0,t +15948,,Niue,1.0,f +12965,100%,Vietnam,11.0,t +19148,100%,Malawi,1.0,f +3121,95%,Zimbabwe,9.0,t +35540,88%,,2.0,f +39441,96%,Cuba,4.0,f +20153,96%,Reunion,51.0,f +34096,100%,Andorra,10.0,f +19602,100%,Lithuania,24.0,f +31781,95%,Guinea,6.0,f +14443,80%,,1.0,f +33778,,China,1.0,f +39311,100%,Cuba,1.0,f +27500,100%,Niue,2.0,f +14476,100%,Kiribati,6.0,f +36741,100%,Papua New Guinea,1.0,f +35554,100%,,2.0,f +11028,100%,Uzbekistan,1.0,f +45480,100%,Guernsey,3.0,t +20827,100%,,1.0,t +19819,100%,Lebanon,2.0,t +24069,,Libyan Arab Jamahiriya,1.0,f +3045,100%,Rwanda,2.0,f +23695,100%,France,3.0,f +2411,75%,Vanuatu,1.0,f +47591,100%,Jersey,1.0,f +40913,100%,Jersey,1.0,t +8630,100%,Lithuania,1.0,f +39238,,Niue,1.0,f +41140,90%,Nicaragua,2.0,t +32495,100%,Tonga,9.0,f +19077,100%,France,3.0,f +12915,0%,,1.0,f +9675,,,1.0,f +29285,100%,,1.0,f +32199,100%,Cuba,2.0,f +26526,94%,Tonga,8.0,f +34096,100%,Andorra,10.0,f +5893,100%,Guinea,4.0,f +27239,100%,,1.0,f +22371,71%,Svalbard & Jan Mayen Islands,3.0,f +48985,97%,Guinea,8.0,f +7407,,,7.0,t +27520,100%,Philippines,2.0,t +31544,100%,Uganda,1.0,f +15471,100%,Russian Federation,1.0,f +41140,90%,Nicaragua,2.0,t +18362,100%,Uganda,5.0,f +874,100%,Puerto Rico,5.0,f +10732,,Uganda,5.0,f +12602,100%,Kiribati,3.0,f +15357,100%,Kiribati,2.0,f +34423,90%,Ukraine,1.0,f +11653,,Malta,1.0,f +16536,50%,Guernsey,1.0,t +1835,100%,Ecuador,8.0,f +44914,100%,Rwanda,1.0,f +23240,100%,Ecuador,1.0,f +12602,100%,Kiribati,3.0,f +18917,90%,Venezuela,1.0,f +41056,100%,Peru,1.0,f +11171,100%,Turks and Caicos Islands,4.0,f +25128,100%,Barbados,5.0,t +31092,,Senegal,19.0,f +45552,93%,Nicaragua,12.0,t +33887,100%,Malta,1.0,f +16649,100%,Gibraltar,8.0,f +12602,100%,Kiribati,3.0,f +33907,100%,Niue,1.0,f +1929,100%,Niue,7.0,t +19405,,Gambia,1.0,f +23395,0%,Tonga,1.0,f +41430,100%,,1.0,t +12814,100%,,1.0,f +39027,80%,Nicaragua,2.0,f +25165,93%,Uzbekistan,7.0,f +28959,99%,,7.0,f +39282,100%,Gambia,2.0,f +6894,80%,Estonia,47.0,t +24149,100%,China,3.0,f +21868,100%,Djibouti,1.0,f +15245,100%,,11.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +20042,100%,Papua New Guinea,2.0,t +5072,40%,Monaco,1.0,f +44169,97%,Portugal,39.0,f +14766,100%,Rwanda,2.0,t +20153,96%,Reunion,51.0,f +16275,98%,Maldives,24.0,f +9466,,Chile,1.0,f +33248,100%,,4.0,f +33817,100%,Gibraltar,62.0,f +41354,100%,Micronesia,4.0,t +20153,96%,Reunion,51.0,f +20919,,,1.0,f +28292,73%,Lebanon,2.0,f +295,100%,Micronesia,2.0,t +39772,,Montserrat,1.0,f +33248,100%,,4.0,f +8725,100%,Djibouti,1.0,f +31873,99%,Uzbekistan,22.0,f +145,,Bosnia and Herzegovina,1.0,f +19039,94%,Bahrain,17.0,f +43237,40%,Montserrat,24.0,f +18832,100%,Zimbabwe,8.0,f +19039,94%,Bahrain,17.0,f +30198,,Kenya,1.0,f +18801,100%,,1.0,t +38466,91%,Niger,2.0,f +49560,100%,,6.0,t +12205,,,1.0,f +20915,,Croatia,1.0,f +40263,,Nauru,3.0,f +31873,99%,Uzbekistan,22.0,f +19214,100%,Senegal,55.0,f +39922,,Reunion,1.0,f +25671,90%,,1.0,f +41383,100%,Kenya,1.0,f +38466,91%,Niger,2.0,f +19214,100%,Senegal,55.0,f +17467,100%,Micronesia,1.0,f +3801,50%,Maldives,5.0,f +31939,,Reunion,2.0,f +31765,100%,Estonia,1.0,f +41484,89%,Anguilla,23.0,f +23164,100%,China,12.0,t +25852,100%,Micronesia,1.0,f +298,100%,Honduras,3.0,f +30950,100%,French Guiana,3.0,t +27948,100%,Niue,4.0,f +35305,100%,,2.0,f +15741,100%,Cuba,14.0,f +39168,83%,Tonga,6.0,f +30206,90%,Turks and Caicos Islands,1.0,f +26010,100%,Uganda,1.0,f +35093,100%,,1.0,f +14370,100%,,1.0,f +19497,,Maldives,1.0,f +4716,100%,Tonga,1.0,f +6843,100%,,1.0,f +6782,100%,Uganda,5.0,f +25880,100%,Russian Federation,1.0,t +33818,100%,Vanuatu,1.0,f +29012,100%,Tanzania,4.0,t +14921,100%,Micronesia,2.0,f +36121,100%,Russian Federation,2.0,f +8800,100%,,3.0,f +49923,88%,,1.0,f +6225,90%,Barbados,7.0,f +8800,100%,,3.0,f +4133,90%,Maldives,6.0,f +24378,75%,,1.0,f +46955,83%,,2.0,f +29665,93%,,3.0,f +14386,100%,Nicaragua,8.0,f +6225,90%,Barbados,7.0,f +3555,100%,Zimbabwe,2.0,f +28828,100%,Isle of Man,198.0,t +2432,,,1.0,f +8485,100%,,1.0,t +8074,100%,,1.0,t +33817,100%,Gibraltar,62.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +28616,,,1.0,f +14514,,China,80.0,t +34798,100%,,1.0,f +8990,100%,Turkmenistan,1.0,f +4326,100%,,11.0,f +4326,100%,,11.0,f +2104,100%,Russian Federation,1.0,t +43897,100%,,1.0,f +16940,50%,Russian Federation,1.0,f +18221,100%,Kenya,1.0,f +45878,100%,Costa Rica,1.0,f +1054,100%,Guinea,20.0,f +22391,96%,Niger,2.0,f +40750,90%,Brazil,1.0,f +43229,,Netherlands,1.0,f +33746,100%,Venezuela,2.0,f +6017,,Togo,1.0,f +5912,100%,Micronesia,1.0,f +1054,100%,Guinea,20.0,f +5438,100%,,1.0,f +34604,96%,Kenya,18.0,f +34604,96%,Kenya,18.0,f +13537,100%,,1.0,f +40793,100%,,75.0,t +12137,99%,Sao Tome and Principe,33.0,t +28241,97%,Maldives,10.0,f +35005,100%,Uzbekistan,4.0,f +37858,92%,Anguilla,7.0,f +37599,100%,Marshall Islands,1.0,f +27948,100%,Niue,4.0,f +12137,99%,Sao Tome and Principe,33.0,t +26606,90%,,1.0,t +7184,77%,Reunion,13.0,f +2534,100%,Malta,2.0,f +11572,100%,Niue,1.0,f +32352,100%,French Guiana,2.0,f +32935,,Ghana,40.0,f +3465,80%,Niue,3.0,t +7184,77%,Reunion,13.0,f +43039,100%,Russian Federation,2.0,t +41517,100%,Peru,1.0,f +47574,100%,Lithuania,1.0,t +34604,96%,Kenya,18.0,f +7894,100%,Ukraine,10.0,f +8601,,Angola,16.0,f +34604,96%,Kenya,18.0,f +37292,100%,,3.0,f +11494,100%,Turks and Caicos Islands,1.0,f +34604,96%,Kenya,18.0,f +38931,100%,Niue,1.0,f +49815,90%,Micronesia,1.0,f +4745,100%,Croatia,119.0,f +19217,98%,Marshall Islands,46.0,f +1509,100%,Vanuatu,4.0,f +23084,100%,Micronesia,1.0,f +4745,100%,Croatia,119.0,f +30949,100%,Finland,1.0,f +7127,100%,Denmark,2.0,t +7129,100%,Guinea,4.0,f +4745,100%,Croatia,119.0,f +11353,,Marshall Islands,1.0,f +16903,,Chile,1.0,f +4745,100%,Croatia,119.0,f +4477,90%,French Guiana,14.0,f +43263,100%,,1.0,f +39768,100%,,1.0,t +25774,90%,,1.0,t +29647,100%,Peru,1305.0,f +25147,99%,Niger,48.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +43152,100%,Nicaragua,82.0,t +2553,100%,Turks and Caicos Islands,3.0,f +667,100%,Croatia,4.0,t +39079,100%,France,1.0,f +9764,100%,Micronesia,1.0,f +35005,100%,Uzbekistan,4.0,f +17674,100%,Pakistan,4.0,f +28648,97%,Estonia,5.0,f +41303,100%,Montserrat,1.0,f +36253,100%,Nauru,21.0,t +32340,,Anguilla,1.0,f +32332,100%,Ukraine,1.0,f +1461,100%,Brazil,3.0,f +44061,100%,,1.0,f +34381,83%,Sao Tome and Principe,1.0,f +35460,,Chad,1.0,t +25039,,Saint Helena,7.0,t +46188,100%,,1.0,f +6225,90%,Barbados,7.0,f +2216,100%,,1.0,f +9611,93%,Chad,2.0,f +24405,90%,,1.0,f +890,100%,Zimbabwe,3.0,f +27808,,El Salvador,1.0,f +8576,,French Guiana,2.0,f +620,100%,,1.0,f +4682,100%,Vanuatu,5.0,f +42337,,Ghana,2.0,f +23141,,,1.0,t +32939,,Russian Federation,1.0,f +42337,,Ghana,2.0,f +26248,100%,Marshall Islands,1.0,f +655,100%,Bosnia and Herzegovina,1.0,f +33817,100%,Gibraltar,62.0,f +37058,100%,Kiribati,1.0,f +16520,100%,Marshall Islands,22.0,f +25941,86%,Portugal,4.0,f +4477,90%,French Guiana,14.0,f +4477,90%,French Guiana,14.0,f +19039,94%,Bahrain,17.0,f +7133,90%,,3.0,f +4477,90%,French Guiana,14.0,f +7133,90%,,3.0,f +28744,0%,Ukraine,1.0,f +37143,,El Salvador,1.0,t +42390,100%,Wallis and Futuna,96.0,t +22331,99%,Rwanda,50.0,t +7133,90%,,3.0,f +5003,100%,Jersey,8.0,f +45480,100%,Guernsey,3.0,t +40191,100%,Denmark,1.0,f +45715,,Zimbabwe,1.0,f +26543,,,1.0,t +32455,100%,Guinea,2.0,t +31202,90%,Kiribati,107.0,f +18394,56%,Turks and Caicos Islands,1.0,f +8268,,Micronesia,1.0,f +43511,100%,Russian Federation,2.0,f +28721,100%,French Guiana,1.0,t +29359,100%,Denmark,1.0,f +39536,100%,,1.0,f +11413,98%,Somalia,8.0,f +47539,100%,Tunisia,1.0,f +33299,97%,Zimbabwe,1.0,f +11413,98%,Somalia,8.0,f +44684,100%,Andorra,3.0,f +41855,100%,Brazil,1.0,f +28078,100%,Maldives,1.0,f +25799,100%,Uzbekistan,5.0,t +23902,60%,Russian Federation,1.0,f +21224,90%,Rwanda,3.0,f +36307,,Bouvet Island (Bouvetoya),1.0,f +1182,100%,Russian Federation,2.0,t +1146,95%,French Polynesia,9.0,f +32303,100%,Barbados,1.0,f +39383,78%,France,3.0,t +4330,94%,Ukraine,60.0,t +15843,100%,Slovakia (Slovak Republic),18.0,f +43777,100%,Denmark,18.0,f +19214,100%,Senegal,55.0,f +36093,100%,Denmark,18.0,t +36093,100%,Denmark,18.0,t +36093,100%,Denmark,18.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +28690,100%,,1.0,t +13045,100%,,1.0,t +34042,100%,Marshall Islands,37.0,f +36093,100%,Denmark,18.0,t +36093,100%,Denmark,18.0,t +27602,100%,,1.0,f +48117,98%,Ukraine,41.0,f +922,,Croatia,1.0,t +28837,100%,Wallis and Futuna,3.0,f +18484,100%,Gambia,108.0,f +41987,100%,Malta,2.0,t +47443,100%,Wallis and Futuna,1.0,f +1652,88%,Greenland,2.0,f +19543,,Bosnia and Herzegovina,5.0,f +17797,,Malta,1.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +19447,,Afghanistan,2.0,t +40748,100%,Monaco,1.0,f +31692,100%,,1.0,t +24016,100%,Bosnia and Herzegovina,29.0,f +43003,,Chile,1.0,f +3705,,,1.0,f +19123,,,1.0,f +9844,100%,Canada,1.0,f +4065,100%,Reunion,2.0,f +10482,86%,Zimbabwe,2.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +49487,99%,Marshall Islands,6.0,f +27119,94%,Nicaragua,10.0,t +7700,,Portugal,1.0,f +21382,100%,Marshall Islands,4.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +37927,83%,Cape Verde,1.0,f +30029,90%,El Salvador,8.0,f +11140,100%,Holy See (Vatican City State),1.0,f +38904,100%,,1.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +16489,100%,Russian Federation,42.0,t +31781,95%,Guinea,6.0,f +44316,98%,Uganda,6.0,t +26254,100%,Gambia,3.0,f +34054,100%,,4.0,f +13515,100%,,3.0,t +13515,100%,,3.0,t +33833,100%,Gibraltar,1.0,f +30261,100%,Papua New Guinea,1.0,f +11503,100%,Palestinian Territory,1.0,f +8131,100%,,1.0,f +3112,94%,Indonesia,25.0,f +19602,100%,Lithuania,24.0,f +27032,100%,Marshall Islands,2.0,t +49785,,Ghana,9.0,f +43596,100%,,1.0,f +26921,98%,Nicaragua,6.0,t +43433,100%,United Kingdom,1.0,f +19039,94%,Bahrain,17.0,f +45888,,Anguilla,1.0,t +48117,98%,Ukraine,41.0,f +19879,99%,Guinea,19.0,f +19039,94%,Bahrain,17.0,f +32719,100%,Nicaragua,2.0,f +47631,100%,Faroe Islands,3.0,f +46362,100%,,1.0,f +20726,0%,Niue,1.0,t +12795,100%,,1.0,t +34859,100%,,1.0,f +36231,100%,Monaco,1.0,f +30763,100%,,1.0,f +33817,100%,Gibraltar,62.0,f +1054,100%,Guinea,20.0,f +19369,80%,,1.0,f +42615,100%,Kenya,3.0,f +46099,98%,Uzbekistan,28.0,f +21403,95%,Vietnam,8.0,f +22679,100%,Barbados,5.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +34741,100%,Svalbard & Jan Mayen Islands,2.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +13111,100%,Finland,1.0,f +19925,100%,Tonga,1.0,f +22270,100%,,3.0,t +36409,100%,Canada,1.0,f +23256,100%,,6.0,f +24298,100%,,1.0,f +24646,100%,Barbados,1.0,f +18973,100%,Guinea,1.0,f +39596,100%,Cuba,1.0,t +29332,100%,,2.0,f +3286,100%,Estonia,1.0,f +36571,,,1.0,f +46915,,Lebanon,1.0,f +18525,80%,Croatia,2.0,f +27411,100%,,1.0,f +40793,100%,,75.0,t +18484,100%,Gambia,108.0,f +25147,99%,Niger,48.0,f +9392,100%,Niue,1.0,t +21452,99%,Lebanon,29.0,f +26687,100%,,1.0,f +35041,100%,Guinea,1.0,f +1748,86%,,1.0,f +47237,94%,Marshall Islands,5.0,f +31202,90%,Kiribati,107.0,f +21222,,Isle of Man,1.0,f +39335,100%,Suriname,2.0,f +20952,100%,Vanuatu,1.0,t +20597,,,1.0,f +11249,100%,Vanuatu,1.0,f +33160,90%,,1.0,t +811,78%,,1.0,f +14208,93%,,3.0,f +1207,100%,Nicaragua,7.0,f +26161,100%,Maldives,1.0,f +19940,100%,Greenland,1.0,f +31781,95%,Guinea,6.0,f +30806,70%,Guernsey,1.0,f +27826,98%,Saint Helena,5.0,f +45922,100%,,1.0,f +27826,98%,Saint Helena,5.0,f +20178,,Zimbabwe,1.0,f +35547,78%,Nicaragua,2.0,f +12823,100%,Niue,2.0,f +701,,,1.0,f +28774,100%,Montserrat,3.0,f +28222,67%,Kiribati,1.0,f +14358,100%,Maldives,9.0,f +25345,100%,Estonia,2.0,f +39025,100%,France,2.0,t +44479,100%,,1.0,f +18019,100%,Togo,2.0,f +23409,100%,,3.0,t +33819,80%,Mauritania,2.0,f +5615,100%,Guinea,5.0,f +1657,,Croatia,13.0,t +41843,,Lebanon,1.0,f +2299,90%,,1.0,f +45622,,Zimbabwe,1.0,f +34876,100%,Niue,2.0,f +28393,75%,Denmark,1.0,f +11251,100%,Libyan Arab Jamahiriya,2.0,f +24207,100%,Pakistan,3.0,f +15478,80%,,1.0,f +11362,100%,,3.0,f +49436,,,1.0,f +2845,,Kiribati,9.0,f +47452,85%,France,2.0,f +18649,100%,,1.0,f +48267,100%,Tonga,2.0,t +6564,,Uganda,9.0,f +32816,88%,Denmark,1.0,f +15910,100%,Micronesia,3.0,f +10108,50%,Denmark,1.0,f +50051,100%,Netherlands,5.0,t +13258,100%,Micronesia,1.0,f +222,89%,,16.0,f +42550,100%,,1.0,f +31459,100%,Gibraltar,2.0,f +9129,100%,,1.0,f +15236,100%,Kenya,1.0,t +43407,100%,Guinea,1.0,f +2280,100%,Niue,2.0,f +48975,100%,Malawi,1.0,f +26390,98%,Zimbabwe,5.0,f +45780,91%,Palestinian Territory,5.0,f +3112,94%,Indonesia,25.0,f +3112,94%,Indonesia,25.0,f +2774,,,1.0,t +5211,,Sao Tome and Principe,1.0,f +21907,80%,,1.0,f +303,100%,Pakistan,1.0,f +45172,100%,Denmark,1.0,t +7628,100%,,2.0,f +2796,100%,,1.0,f +5089,100%,,1.0,f +36998,92%,Lebanon,10.0,f +17257,,,1.0,f +32432,,Turks and Caicos Islands,4.0,f +41148,100%,Cape Verde,1.0,f +30503,100%,Venezuela,1.0,f +10968,,Nauru,1.0,f +27995,,Togo,2.0,f +16794,90%,Maldives,6.0,f +47448,100%,Gibraltar,1.0,t +16794,90%,Maldives,6.0,f +16794,90%,Maldives,6.0,f +48439,100%,Guinea,2.0,f +16794,90%,Maldives,6.0,f +16794,90%,Maldives,6.0,f +9562,100%,,1.0,t +16794,90%,Maldives,6.0,f +37778,92%,Tonga,24.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +6313,100%,El Salvador,1.0,f +31087,,Bouvet Island (Bouvetoya),2.0,f +25002,,China,12.0,f +19442,100%,Kenya,3.0,f +26591,67%,,1.0,f +11872,,,13.0,f +29834,100%,Montserrat,1.0,f +40540,,Cape Verde,7.0,f +49836,100%,,1.0,f +49725,100%,Turkmenistan,1.0,f +30953,100%,Uzbekistan,1.0,t +3212,100%,,1.0,f +46688,91%,Vanuatu,2.0,f +45211,100%,Micronesia,2.0,t +1942,100%,Tanzania,2.0,t +15910,100%,Micronesia,3.0,f +15910,100%,Micronesia,3.0,f +3709,,Gambia,1.0,f +15924,,Netherlands,1.0,f +33817,100%,Gibraltar,62.0,f +2193,98%,,7.0,f +46688,91%,Vanuatu,2.0,f +4122,100%,Micronesia,1.0,f +2193,98%,,7.0,f +5516,100%,Saint Helena,1.0,f +31873,99%,Uzbekistan,22.0,f +6000,100%,Cocos (Keeling) Islands,1.0,f +30855,100%,Turks and Caicos Islands,2.0,f +2850,,,1.0,f +23591,100%,Turkmenistan,8.0,t +34245,100%,,2.0,f +42961,,Pakistan,1.0,f +48991,76%,Bosnia and Herzegovina,7.0,t +33749,93%,Mauritania,7.0,f +12206,100%,Bouvet Island (Bouvetoya),2.0,f +8262,100%,Mauritania,6.0,f +35338,80%,,1.0,f +29247,100%,Guinea,1.0,t +49847,,,2.0,f +13856,60%,Afghanistan,2.0,f +49800,100%,Brazil,1.0,t +18254,60%,,1.0,f +20049,100%,,2.0,f +10686,86%,Tonga,21.0,f +42326,80%,Papua New Guinea,10.0,t +5098,60%,,1.0,f +18265,90%,Kiribati,1.0,f +39147,100%,Nicaragua,1.0,f +17075,100%,,2.0,t +46099,98%,Uzbekistan,28.0,f +46099,98%,Uzbekistan,28.0,f +49698,100%,,1.0,f +18247,95%,Iran,80.0,t +12556,100%,Micronesia,1.0,f +44426,100%,Wallis and Futuna,2.0,t +33312,100%,Svalbard & Jan Mayen Islands,2.0,t +34604,96%,Kenya,18.0,f +39548,100%,Estonia,1.0,t +18782,,Russian Federation,3.0,f +22670,93%,Philippines,4.0,f +26564,,Kenya,1.0,f +47406,,,1.0,f +20880,100%,Monaco,1.0,f +1698,,El Salvador,1.0,t +42493,100%,,2.0,t +8707,73%,Rwanda,21.0,t +30691,57%,Kenya,1.0,f +10510,100%,Micronesia,1.0,f +32524,100%,Nicaragua,1.0,t +8123,,,1.0,f +29133,100%,Gambia,4.0,f +14086,100%,,1.0,f +21452,99%,Lebanon,29.0,f +5970,100%,El Salvador,2.0,f +8737,100%,Lebanon,3.0,f +1261,100%,Malawi,3.0,t +44207,80%,Djibouti,8.0,t +33447,100%,,1.0,f +8357,33%,El Salvador,1.0,f +47486,100%,,1.0,f +19166,100%,Brazil,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +85,100%,Russian Federation,1.0,t +48869,100%,Slovakia (Slovak Republic),22.0,f +28322,,,2.0,f +11255,93%,Suriname,41.0,f +14514,,China,80.0,t +33840,100%,Saint Helena,2.0,t +22578,90%,Anguilla,1.0,f +33817,100%,Gibraltar,62.0,f +25460,100%,Maldives,13.0,f +26386,100%,Fiji,25.0,t +33193,100%,Brazil,10.0,f +25002,,China,12.0,f +33817,100%,Gibraltar,62.0,f +10961,100%,Guinea,1.0,f +25897,100%,,1.0,t +48495,100%,Guinea,1.0,f +32909,100%,Faroe Islands,2.0,f +21189,100%,,1.0,f +19214,100%,Senegal,55.0,f +433,100%,,1.0,f +17452,100%,Marshall Islands,2.0,f +12736,33%,French Guiana,1.0,f +31196,60%,Malta,1.0,f +21403,95%,Vietnam,8.0,f +34311,100%,Isle of Man,1.0,t +1674,100%,,1.0,t +1992,,,1.0,f +26386,100%,Fiji,25.0,t +45260,94%,,19.0,f +18077,100%,Sao Tome and Principe,139.0,f +24642,100%,,3.0,f +3921,98%,,14.0,f +39507,89%,,1.0,f +15976,100%,Micronesia,1.0,t +33817,100%,Gibraltar,62.0,f +33886,,Gambia,9.0,t +42158,100%,,15.0,f +42158,100%,,15.0,f +4477,90%,French Guiana,14.0,f +6564,,Uganda,9.0,f +40257,100%,Kenya,2.0,t +4518,100%,Niue,3.0,f +19682,100%,Faroe Islands,15.0,t +42966,100%,Zimbabwe,1.0,t +15245,100%,,11.0,f +19682,100%,Faroe Islands,15.0,t +29133,100%,Gambia,4.0,f +29133,100%,Gambia,4.0,f +8129,100%,Rwanda,5.0,f +19602,100%,Lithuania,24.0,f +18493,100%,Marshall Islands,1.0,f +47499,,Greenland,1.0,f +38320,,Costa Rica,2.0,t +26616,100%,Isle of Man,10.0,f +28369,90%,Sao Tome and Principe,9.0,f +44169,97%,Portugal,39.0,f +19444,100%,Sao Tome and Principe,1.0,f +48026,100%,,3.0,f +46652,100%,Zimbabwe,1.0,t +49649,100%,Russian Federation,4.0,f +25347,100%,,1.0,f +4267,100%,Senegal,22.0,t +777,0%,Micronesia,1.0,f +42340,,,2.0,f +23548,94%,Fiji,7.0,f +7486,100%,,2.0,f +1412,100%,,1.0,f +23548,94%,Fiji,7.0,f +33858,67%,,1.0,f +31158,99%,Suriname,11.0,f +46648,100%,Faroe Islands,4.0,t +38137,99%,Zimbabwe,16.0,f +38137,99%,Zimbabwe,16.0,f +11823,70%,,7.0,f +3946,96%,Anguilla,4.0,t +47055,100%,Togo,3.0,t +32495,100%,Tonga,9.0,f +32495,100%,Tonga,9.0,f +32495,100%,Tonga,9.0,f +20577,100%,,1.0,f +36331,,Sao Tome and Principe,3.0,f +19602,100%,Lithuania,24.0,f +34966,100%,Vanuatu,1.0,f +23582,98%,Montserrat,17.0,f +16907,100%,Cocos (Keeling) Islands,1.0,f +22205,90%,,1.0,f +49594,100%,Uganda,7.0,f +4722,96%,Guinea,13.0,t +49594,100%,Uganda,7.0,f +10135,100%,,1.0,f +5006,,Sao Tome and Principe,1.0,f +14228,100%,Marshall Islands,2.0,f +30929,100%,Turkmenistan,1.0,f +44533,100%,Afghanistan,5.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +28939,100%,Afghanistan,1.0,f +6356,100%,Guinea,1.0,t +37311,100%,,1.0,f +16593,100%,Chile,4.0,f +6285,100%,Micronesia,1.0,f +31092,,Senegal,19.0,f +5421,100%,,1.0,f +26823,100%,,2.0,f +34290,80%,Guinea,2.0,f +31092,,Senegal,19.0,f +675,89%,Reunion,1.0,f +13751,67%,Kiribati,1.0,f +43167,100%,French Guiana,1.0,t +10732,,Uganda,5.0,f +27137,,,1.0,f +3364,100%,Tanzania,1.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +35979,100%,Gambia,1.0,f +29136,86%,Svalbard & Jan Mayen Islands,1.0,f +27948,100%,Niue,4.0,f +33836,100%,Kenya,4.0,f +35461,100%,,1.0,t +31470,100%,Malta,2.0,f +31202,90%,Kiribati,107.0,f +18484,100%,Gambia,108.0,f +31202,90%,Kiribati,107.0,f +38865,100%,,2.0,t +9005,100%,,1.0,f +40032,100%,El Salvador,16.0,f +35159,100%,Lebanon,1.0,f +16489,100%,Russian Federation,42.0,t +31202,90%,Kiribati,107.0,f +49594,100%,Uganda,7.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +13986,,Anguilla,1.0,t +4682,100%,Vanuatu,5.0,f +37211,,Ghana,2.0,f +45498,100%,Indonesia,4.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +4411,,,1.0,f +35822,100%,Indonesia,2.0,f +43834,99%,Uganda,13.0,f +21066,100%,Svalbard & Jan Mayen Islands,2.0,f +898,50%,,2.0,f +17515,100%,Philippines,5.0,f +35091,100%,Zimbabwe,3.0,f +38821,,,1.0,f +773,100%,,1.0,f +42756,,Denmark,1.0,f +36434,100%,United Kingdom,1.0,f +40631,80%,,1.0,t +12989,100%,Gambia,2.0,f +21908,100%,Niue,49.0,f +38924,100%,Denmark,1.0,f +34604,96%,Kenya,18.0,f +10820,100%,Croatia,1.0,f +4650,100%,,3.0,f +20165,94%,Ukraine,30.0,f +4491,100%,,1.0,f +42437,,El Salvador,1.0,f +16154,100%,,1.0,f +39890,100%,Gambia,4.0,f +21906,,Niue,1.0,f +41741,100%,Brazil,9.0,t +39928,100%,,1.0,f +26351,100%,,2.0,f +22078,,Indonesia,20.0,f +26075,100%,Pakistan,1.0,f +15356,80%,Denmark,2.0,f +13397,,,1.0,f +43207,100%,Venezuela,1.0,f +12461,100%,Russian Federation,1.0,t +3245,100%,,1.0,f +35682,100%,Croatia,1.0,f +15068,100%,Sao Tome and Principe,1.0,f +22585,100%,Togo,3.0,f +16489,100%,Russian Federation,42.0,t +43163,100%,,1.0,f +36029,100%,Guinea,1.0,f +28784,100%,Gambia,1.0,f +15452,90%,Niue,2.0,f +24930,50%,,1.0,f +41995,100%,Reunion,5.0,f +5296,100%,Mauritania,4.0,f +40993,100%,Montserrat,15.0,f +40993,100%,Montserrat,15.0,f +898,50%,,2.0,f +37229,100%,Tanzania,2.0,f +356,99%,Wallis and Futuna,32.0,t +20153,96%,Reunion,51.0,f +38319,100%,Nicaragua,20.0,f +21785,100%,,1.0,t +47055,100%,Togo,3.0,t +25002,,China,12.0,f +20153,96%,Reunion,51.0,f +28065,,Rwanda,4.0,f +28369,90%,Sao Tome and Principe,9.0,f +10357,100%,Indonesia,1.0,t +4485,95%,China,7.0,t +44197,,Sao Tome and Principe,1.0,f +31542,100%,Isle of Man,3.0,f +43590,100%,Costa Rica,9.0,f +35988,100%,Niue,1.0,f +49017,,Turkmenistan,1.0,f +19807,100%,United Kingdom,1.0,f +9421,100%,,5.0,f +39658,100%,,4.0,f +30344,100%,Chile,1.0,t +5693,100%,Croatia,1.0,f +39890,100%,Gambia,4.0,f +47715,,Rwanda,2.0,f +39261,100%,Marshall Islands,1.0,f +9070,90%,Isle of Man,1.0,f +39658,100%,,4.0,f +39890,100%,Gambia,4.0,f +43395,100%,Somalia,1.0,f +39890,100%,Gambia,4.0,f +45525,93%,Tonga,9.0,f +18077,100%,Sao Tome and Principe,139.0,f +1169,,Guinea,3.0,f +2917,100%,,1.0,f +5057,100%,Zimbabwe,23.0,t +8790,100%,Micronesia,1.0,f +27805,100%,,1.0,f +21493,,Uzbekistan,6.0,f +39778,100%,,2.0,t +29012,100%,Tanzania,4.0,t +13782,100%,Mauritania,1.0,f +1054,100%,Guinea,20.0,f +22647,100%,Uzbekistan,1.0,f +29012,100%,Tanzania,4.0,t +14228,100%,Marshall Islands,2.0,f +31324,100%,Isle of Man,2.0,f +17114,100%,France,2.0,t +41655,100%,,2.0,f +25729,100%,Cuba,2.0,f +2355,100%,Turks and Caicos Islands,1.0,f +22670,93%,Philippines,4.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +43152,100%,Nicaragua,82.0,t +24256,80%,Brazil,2.0,f +24256,80%,Brazil,2.0,f +28951,100%,Venezuela,1.0,t +19905,97%,Monaco,8.0,f +41608,,Montserrat,1.0,f +28766,100%,Estonia,16.0,f +33581,100%,Svalbard & Jan Mayen Islands,2.0,f +47165,100%,Nicaragua,1.0,t +26804,100%,Tonga,1.0,f +19039,94%,Bahrain,17.0,f +12950,100%,,3.0,f +24962,100%,Uzbekistan,1.0,f +36611,71%,Maldives,14.0,f +26964,100%,,1.0,f +45426,100%,France,2.0,f +37676,90%,Congo,7.0,t +41570,90%,Micronesia,1.0,f +22552,67%,Estonia,1.0,t +44367,91%,Brazil,12.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +2193,98%,,7.0,f +29193,83%,,1.0,t +2193,98%,,7.0,f +25862,100%,,1.0,t +49097,67%,Niger,5.0,t +2193,98%,,7.0,f +4316,100%,Micronesia,18.0,f +16593,100%,Chile,4.0,f +10215,100%,,1.0,f +11095,,Greenland,1.0,f +27829,100%,,2.0,t +42717,100%,Kenya,1.0,f +29671,100%,Niue,1.0,f +35663,78%,Gambia,1.0,f +10388,100%,,2.0,f +8129,100%,Rwanda,5.0,f +4761,89%,,1.0,f +36634,100%,Uganda,4.0,f +40993,100%,Montserrat,15.0,f +14912,100%,Papua New Guinea,1.0,t +38137,99%,Zimbabwe,16.0,f +26758,100%,,1.0,t +38137,99%,Zimbabwe,16.0,f +3636,,,1.0,f +35522,100%,Kiribati,10.0,f +41484,89%,Anguilla,23.0,f +49785,,Ghana,9.0,f +19077,100%,France,3.0,f +33125,50%,,1.0,f +20869,,Chile,1.0,f +23034,99%,Monaco,54.0,f +27466,100%,Isle of Man,2.0,t +27228,100%,Isle of Man,7.0,f +16121,100%,Malta,1.0,f +45414,100%,Gibraltar,1.0,f +27228,100%,Isle of Man,7.0,f +18077,100%,Sao Tome and Principe,139.0,f +49925,100%,Jersey,1.0,t +44016,100%,Gibraltar,2.0,f +10388,100%,,2.0,f +42036,100%,,1.0,f +8129,100%,Rwanda,5.0,f +25567,100%,,4.0,t +22187,100%,Lithuania,1.0,f +37858,92%,Anguilla,7.0,f +27228,100%,Isle of Man,7.0,f +46669,86%,Brazil,11.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +24281,100%,,1.0,t +8154,100%,,4.0,f +33215,100%,Guinea,1.0,f +10686,86%,Tonga,21.0,f +48922,100%,Niue,2.0,f +42725,100%,Spain,3.0,t +14303,100%,Svalbard & Jan Mayen Islands,1.0,f +4267,100%,Senegal,22.0,t +15245,100%,,11.0,f +2994,100%,El Salvador,1.0,t +15157,100%,Nicaragua,1.0,f +28430,100%,,1.0,t +26986,100%,Jersey,20.0,f +21529,100%,Uzbekistan,2.0,t +26986,100%,Jersey,20.0,f +32584,100%,Kiribati,5.0,f +26986,100%,Jersey,20.0,f +48585,100%,Kiribati,8.0,f +15156,80%,El Salvador,1.0,f +13267,,,1.0,f +11640,100%,Zimbabwe,1.0,f +32153,100%,Isle of Man,3.0,f +44624,,,1.0,f +38948,100%,Turks and Caicos Islands,1.0,f +30134,100%,Uzbekistan,3.0,f +25147,99%,Niger,48.0,f +29089,100%,Vietnam,1.0,f +47419,100%,Guinea,1.0,f +16651,100%,Guinea,21.0,f +24352,100%,Guinea,2.0,f +32826,100%,French Guiana,1.0,f +24701,100%,Lebanon,1.0,f +12522,100%,Mauritania,1.0,f +10120,100%,Lithuania,2.0,f +6999,100%,Brazil,1.0,f +36206,86%,Russian Federation,10.0,f +1183,,,2.0,f +22703,,China,2.0,f +38471,100%,Guinea,2.0,f +26449,100%,Micronesia,1.0,f +453,,Kenya,1.0,f +27466,100%,Isle of Man,2.0,t +38787,,Faroe Islands,10.0,f +31054,100%,,1.0,f +27883,100%,Cuba,11.0,f +44937,100%,Puerto Rico,19.0,t +16942,100%,Uganda,2.0,f +26713,,Afghanistan,4.0,t +19067,100%,Puerto Rico,2.0,f +49112,100%,Svalbard & Jan Mayen Islands,1.0,f +1340,100%,Niue,1.0,f +16803,100%,Brazil,2.0,t +10942,96%,Uganda,3.0,f +33198,100%,Mauritania,12.0,f +3238,100%,,1.0,t +39580,100%,Tonga,3.0,f +9823,100%,Nicaragua,1.0,f +42869,,El Salvador,9.0,f +14460,,Uzbekistan,2.0,f +36690,100%,Afghanistan,2.0,f +30363,,,1.0,f +45480,100%,Guernsey,3.0,t +1018,,,1.0,f +8110,,Papua New Guinea,1.0,f +30688,,Bosnia and Herzegovina,1.0,f +16534,100%,,1.0,f +22894,100%,,1.0,f +36634,100%,Uganda,4.0,f +2901,100%,Turkmenistan,1.0,t +40993,100%,Montserrat,15.0,f +7009,100%,Isle of Man,9.0,f +28959,99%,,7.0,f +26488,100%,Isle of Man,10.0,f +49785,,Ghana,9.0,f +44689,100%,Venezuela,3.0,f +18464,,Anguilla,1.0,f +27928,100%,,4.0,f +25460,100%,Maldives,13.0,f +15493,100%,Tonga,1.0,f +42075,100%,Zimbabwe,1.0,f +33417,100%,,1.0,f +31469,100%,Mauritania,1.0,f +22670,93%,Philippines,4.0,f +721,100%,,1.0,f +41484,89%,Anguilla,23.0,f +12732,,France,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +22364,100%,Denmark,2.0,f +5420,100%,Tonga,41.0,f +2354,100%,Marshall Islands,4.0,t +26980,100%,Tonga,2.0,f +1273,100%,Lithuania,3.0,f +41417,,,1.0,f +15005,100%,El Salvador,1.0,t +44194,100%,Indonesia,5.0,t +8783,100%,,1.0,f +24033,100%,Uganda,45.0,f +24033,100%,Uganda,45.0,f +28828,100%,Isle of Man,198.0,t +41784,100%,Rwanda,3.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +23034,99%,Monaco,54.0,f +28614,50%,,1.0,f +32461,0%,Portugal,1.0,f +21220,100%,Uganda,5.0,f +23572,100%,,1.0,f +29133,100%,Gambia,4.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +14514,,China,80.0,t +18428,100%,Niue,2.0,t +1835,100%,Ecuador,8.0,f +38134,100%,Rwanda,1.0,f +4912,100%,Pakistan,2.0,f +29424,100%,Sao Tome and Principe,1.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +20244,100%,,1.0,t +10038,100%,,1.0,t +44380,100%,Maldives,2.0,t +18077,100%,Sao Tome and Principe,139.0,f +25147,99%,Niger,48.0,f +15527,,Fiji,1.0,f +1964,100%,Netherlands,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +49987,100%,,19.0,f +19019,97%,Nicaragua,1484.0,f +33896,100%,Kenya,1.0,f +42326,80%,Papua New Guinea,10.0,t +39004,100%,Kiribati,2.0,f +10686,86%,Tonga,21.0,f +42326,80%,Papua New Guinea,10.0,t +18058,100%,,1.0,t +3467,100%,,1.0,t +33979,83%,Reunion,4.0,f +31999,100%,Gibraltar,1.0,f +33433,100%,Rwanda,9.0,f +40140,90%,Marshall Islands,3.0,f +22634,100%,Gambia,3.0,f +46056,,Estonia,3.0,f +31055,64%,Niue,2.0,f +16260,100%,United Kingdom,4.0,t +9298,100%,Pakistan,15.0,f +38299,100%,Gambia,1.0,f +25668,100%,Jersey,12.0,t +9298,100%,Pakistan,15.0,f +9298,100%,Pakistan,15.0,f +31431,100%,Kiribati,2.0,t +14359,,,1.0,t +36829,,Puerto Rico,1.0,f +45726,90%,Togo,3.0,f +38137,99%,Zimbabwe,16.0,f +30438,100%,,1.0,f +38137,99%,Zimbabwe,16.0,f +40032,100%,El Salvador,16.0,f +15341,100%,Reunion,4.0,t +49990,100%,,1.0,f +43007,,,1.0,f +42416,97%,Puerto Rico,20.0,f +10686,86%,Tonga,21.0,f +10656,100%,,1.0,t +24554,100%,,2.0,f +48776,100%,Andorra,1.0,t +8238,91%,Barbados,15.0,t +32761,80%,,1.0,f +46822,98%,,12.0,f +26452,100%,Micronesia,2.0,f +34245,100%,,2.0,f +1913,100%,Niue,2.0,f +18346,100%,Mauritania,1.0,t +8952,100%,Montserrat,4.0,t +31282,,Djibouti,1.0,f +20900,100%,Uganda,2.0,t +3071,100%,Indonesia,1.0,f +16549,100%,Costa Rica,1.0,f +9363,95%,Ukraine,50.0,f +34804,,,1.0,f +18955,90%,Denmark,3.0,f +28166,0%,Puerto Rico,2.0,f +49568,100%,Niue,2.0,f +28166,0%,Puerto Rico,2.0,f +34953,100%,Uzbekistan,4.0,t +42416,97%,Puerto Rico,20.0,f +2354,100%,Marshall Islands,4.0,t +23469,100%,Nicaragua,116.0,f +22077,100%,Mauritania,10.0,f +29123,100%,Zimbabwe,16.0,t +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +48876,90%,Uzbekistan,1.0,f +2325,100%,Mexico,2.0,f +39283,100%,Uganda,13.0,f +35365,,Sao Tome and Principe,2.0,t +30283,100%,Brazil,15.0,f +23469,100%,Nicaragua,116.0,f +38,90%,,1.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +6334,100%,Marshall Islands,3.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +541,93%,Marshall Islands,17.0,f +26278,100%,Jersey,2.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +2354,100%,Marshall Islands,4.0,t +18830,100%,Kenya,1.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +30958,,Ghana,1.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +8765,,Montserrat,1.0,f +946,100%,,2.0,t +10686,86%,Tonga,21.0,f +25240,100%,Gibraltar,2.0,t +36443,100%,Tonga,1.0,t +39019,100%,,2.0,f +32791,,,3.0,f +23469,100%,Nicaragua,116.0,f +49176,,,1.0,t +23469,100%,Nicaragua,116.0,f +23469,100%,Nicaragua,116.0,f +13002,100%,Russian Federation,1.0,f +23469,100%,Nicaragua,116.0,f +44357,100%,Kiribati,1.0,f +32408,100%,France,1.0,f +41817,,,1.0,f +3033,100%,,1.0,f +12480,100%,Jersey,1.0,t +29417,80%,,1.0,f +44248,100%,,1.0,f +4312,100%,Tanzania,1.0,f +455,100%,Uganda,5.0,f +30123,100%,,2.0,f +29562,100%,Indonesia,1.0,f +29859,93%,Guinea,4.0,t +46099,98%,Uzbekistan,28.0,f +3921,98%,,14.0,f +46099,98%,Uzbekistan,28.0,f +46099,98%,Uzbekistan,28.0,f +3921,98%,,14.0,f +36176,33%,Micronesia,1.0,f +3921,98%,,14.0,f +4079,87%,Iran,5.0,t +23469,100%,Nicaragua,116.0,f +7456,100%,France,2.0,f +6731,100%,El Salvador,1.0,f +42721,100%,Netherlands,1.0,f +29368,100%,Kiribati,4.0,f +21937,100%,Indonesia,1.0,t +48603,100%,Guinea,40.0,f +22364,100%,Denmark,2.0,f +41630,100%,Kiribati,24.0,f +15304,100%,Korea,1.0,f +32370,100%,Costa Rica,3.0,t +22857,100%,,2.0,t +22386,100%,Micronesia,1.0,t +41395,100%,,3.0,f +40718,100%,Tonga,1.0,t +31890,100%,,1.0,t +28065,,Rwanda,4.0,f +42471,100%,Fiji,1.0,f +48603,100%,Guinea,40.0,f +27497,100%,,1.0,f +18337,89%,,1.0,f +5591,99%,Indonesia,16.0,t +22320,100%,Denmark,1.0,f +21790,100%,El Salvador,1.0,t +48603,100%,Guinea,40.0,f +38301,90%,Spain,2.0,f +44811,100%,Monaco,1.0,t +48603,100%,Guinea,40.0,f +41386,,Turkmenistan,1.0,f +41630,100%,Kiribati,24.0,f +14771,100%,Tunisia,1.0,f +49507,100%,Ecuador,1.0,f +9635,100%,,2.0,f +38179,100%,Netherlands,1.0,f +7863,100%,Russian Federation,2.0,t +15024,100%,Puerto Rico,3.0,f +12826,100%,,2.0,f +29451,33%,Croatia,1.0,t +22480,,Anguilla,1.0,t +43360,100%,Denmark,2.0,f +7031,100%,South Georgia and the South Sandwich Islands,3.0,f +1168,80%,,1.0,f +16676,100%,Indonesia,2.0,t +46030,100%,Togo,4.0,f +568,,Micronesia,1.0,f +40550,,,1.0,t +11266,100%,Monaco,1.0,t +47274,100%,Tonga,48.0,f +6239,100%,,3.0,f +17897,100%,Kiribati,1.0,f +37303,,,1.0,f +46612,100%,Anguilla,1.0,f +9363,95%,Ukraine,50.0,f +5180,100%,Sao Tome and Principe,1.0,f +45139,100%,Uzbekistan,1.0,f +6918,75%,Faroe Islands,1.0,t +16997,,Rwanda,1.0,f +49116,100%,,1.0,f +23039,100%,,1.0,f +27601,100%,,1.0,f +10494,90%,United Kingdom,1.0,f +33170,100%,Tonga,2.0,t +9153,100%,Papua New Guinea,1.0,f +17953,,,1.0,t +17131,,Anguilla,1.0,f +46049,100%,El Salvador,2.0,f +22499,100%,Togo,1.0,t +36524,100%,Saint Helena,8.0,t +9856,100%,Uzbekistan,2.0,t +10833,100%,Turkmenistan,4.0,f +5097,100%,Barbados,1.0,f +32199,100%,Cuba,2.0,f +40261,100%,Jersey,1.0,f +42869,,El Salvador,9.0,f +40078,100%,Croatia,7.0,t +10220,100%,Kenya,1.0,t +7351,100%,,1.0,f +11872,,,13.0,f +30283,100%,Brazil,15.0,f +10351,98%,El Salvador,15.0,f +12192,100%,,1.0,f +34898,,,1.0,f +39810,90%,Russian Federation,1.0,t +40249,100%,,1.0,t +30954,100%,Niue,1.0,f +14568,80%,,2.0,f +24071,100%,Indonesia,22.0,f +5306,100%,,1.0,f +42310,100%,Ecuador,6.0,t +27662,100%,Brazil,2.0,f +48603,100%,Guinea,40.0,f +30799,100%,Zimbabwe,2.0,t +3389,100%,Estonia,13.0,f +24944,100%,,1.0,f +48603,100%,Guinea,40.0,f +19242,60%,Lithuania,2.0,t +4535,,Croatia,5.0,f +14345,50%,,1.0,f +16019,100%,,1.0,f +12988,98%,Pakistan,5.0,f +36834,100%,Slovakia (Slovak Republic),1.0,f +64,100%,Marshall Islands,1.0,f +28848,100%,Uganda,9.0,f +47525,100%,,2.0,t +3389,100%,Estonia,13.0,f +28502,100%,Niue,1.0,t +42940,100%,Afghanistan,1.0,f +6302,100%,Peru,1.0,f +47274,100%,Tonga,48.0,f +41484,89%,Anguilla,23.0,f +42990,80%,Uzbekistan,3.0,f +18025,78%,Puerto Rico,1.0,f +88,,Rwanda,2.0,f +5435,100%,,2.0,f +47606,100%,Togo,17.0,f +38832,97%,,15.0,f +26261,100%,Turks and Caicos Islands,1.0,f +27953,100%,Cocos (Keeling) Islands,3.0,t +21220,100%,Uganda,5.0,f +27953,100%,Cocos (Keeling) Islands,3.0,t +9635,100%,,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +29841,100%,,1.0,f +11871,78%,,1.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +18371,,Faroe Islands,1.0,t +25142,100%,,2.0,f +4217,,Kenya,52.0,f +38646,70%,,2.0,t +8437,99%,Maldives,6.0,f +20735,100%,Marshall Islands,1.0,f +35814,,El Salvador,1.0,f +28959,99%,,7.0,f +15600,0%,Marshall Islands,1.0,f +36984,100%,,2.0,f +4797,100%,,1.0,f +11630,100%,,1.0,f +43929,89%,Vietnam,3.0,f +48760,98%,Ghana,24.0,f +47890,100%,,1.0,f +4048,100%,,1.0,f +24245,90%,Senegal,1.0,t +32791,,,3.0,f +26488,100%,Isle of Man,10.0,f +26488,100%,Isle of Man,10.0,f +37499,100%,French Guiana,4.0,t +5695,100%,Tanzania,1.0,f +42674,70%,Niue,1.0,f +46280,100%,Vanuatu,1.0,f +29965,100%,Russian Federation,3.0,f +19019,97%,Nicaragua,1484.0,f +48133,,Isle of Man,45.0,f +34663,100%,French Guiana,1.0,t +49431,,Reunion,1.0,f +40858,100%,France,1.0,f +22679,100%,Barbados,5.0,f +33670,100%,Russian Federation,2.0,f +5675,100%,Lebanon,2.0,f +21637,,Russian Federation,2.0,f +13373,100%,Denmark,2.0,f +9772,100%,Marshall Islands,3.0,t +38045,97%,Uzbekistan,7.0,f +31155,90%,,1.0,f +31158,99%,Suriname,11.0,f +11872,,,13.0,f +13892,90%,Sao Tome and Principe,2.0,f +22376,100%,Vanuatu,6.0,f +35365,,Sao Tome and Principe,2.0,t +4871,,Mauritania,2.0,f +28774,100%,Montserrat,3.0,f +5870,,,1.0,f +648,,Zimbabwe,1.0,f +43054,,,2.0,f +24741,100%,Guinea,2.0,t +24741,100%,Guinea,2.0,t +27366,100%,Uzbekistan,9.0,t +14358,100%,Maldives,9.0,f +33639,100%,Turks and Caicos Islands,2.0,f +19039,94%,Bahrain,17.0,f +11677,100%,,8.0,f +36640,100%,Uganda,6.0,f +11677,100%,,8.0,f +38620,100%,,1.0,f +35932,100%,,1.0,f +48372,100%,Barbados,12.0,t +46563,50%,,1.0,t +25147,99%,Niger,48.0,f +22585,100%,Togo,3.0,f +19039,94%,Bahrain,17.0,f +19039,94%,Bahrain,17.0,f +1240,,,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +27785,100%,Uzbekistan,58.0,f +21771,100%,Wallis and Futuna,3.0,f +13985,100%,Somalia,1.0,f +12137,99%,Sao Tome and Principe,33.0,t +43237,40%,Montserrat,24.0,f +7239,,Micronesia,1.0,f +45095,,Niue,1.0,f +42512,90%,Guinea,1.0,f +27785,100%,Uzbekistan,58.0,f +4535,,Croatia,5.0,f +37678,,Tonga,1.0,f +4535,,Croatia,5.0,f +23582,98%,Montserrat,17.0,f +25234,,,1.0,f +4535,,Croatia,5.0,f +27785,100%,Uzbekistan,58.0,f +4535,,Croatia,5.0,f +18077,100%,Sao Tome and Principe,139.0,f +38736,80%,Zimbabwe,2.0,f +27785,100%,Uzbekistan,58.0,f +38169,100%,Pakistan,3.0,f +45699,100%,Denmark,2.0,f +21771,100%,Wallis and Futuna,3.0,f +19602,100%,Lithuania,24.0,f +8437,99%,Maldives,6.0,f +6408,100%,Brazil,1.0,t +21771,100%,Wallis and Futuna,3.0,f +27785,100%,Uzbekistan,58.0,f +28241,97%,Maldives,10.0,f +17636,100%,,1.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +19602,100%,Lithuania,24.0,f +8782,56%,Switzerland,1.0,f +41652,90%,,2.0,f +28369,90%,Sao Tome and Principe,9.0,f +38169,100%,Pakistan,3.0,f +9901,,Tonga,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +33733,90%,,2.0,f +2445,100%,El Salvador,1.0,t +34650,,Cook Islands,1.0,f +44799,100%,Togo,2.0,f +7165,100%,Brazil,5.0,t +43834,99%,Uganda,13.0,f +44486,100%,,2.0,f +33709,100%,,2.0,f +126,,China,2.0,f +11056,100%,Uzbekistan,3.0,f +38343,,,1.0,f +46824,,Sao Tome and Principe,3.0,f +3337,100%,Nicaragua,1.0,f +23469,100%,Nicaragua,116.0,f +32945,100%,,1.0,f +45598,83%,China,17.0,f +36821,,Vietnam,2.0,f +11222,100%,,1.0,f +44628,100%,Uzbekistan,1.0,f +49289,50%,Gambia,3.0,f +38439,100%,Micronesia,1.0,f +34852,,Niue,10.0,t +34781,,,1.0,t +47775,100%,French Guiana,6.0,f +18484,100%,Gambia,108.0,f +7269,100%,,2.0,f +48980,100%,Mauritania,2.0,f +23839,100%,France,1.0,f +13277,100%,Rwanda,2.0,t +2279,100%,,1.0,t +38137,99%,Zimbabwe,16.0,f +4005,100%,French Guiana,2.0,f +22233,100%,,3.0,f +26415,100%,,1.0,t +7962,100%,,1.0,f +6107,90%,Kiribati,4.0,f +33666,100%,,1.0,f +31561,90%,Estonia,1.0,f +8972,100%,,1.0,f +7330,100%,Vanuatu,1.0,f +40640,,Sao Tome and Principe,1.0,f +28828,100%,Isle of Man,198.0,t +29368,100%,Kiribati,4.0,f +946,100%,,2.0,t +42869,,El Salvador,9.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +36941,100%,Uzbekistan,3.0,t +41540,100%,,1.0,f +25638,100%,,2.0,f +38270,100%,Maldives,6.0,f +41981,100%,Mauritania,3.0,f +42952,100%,,1.0,t +35281,33%,,2.0,f +28959,99%,,7.0,f +49758,100%,Sao Tome and Principe,1.0,f +10219,100%,Lebanon,1.0,t +9677,100%,Nicaragua,1.0,f +39220,100%,Lithuania,1.0,f +6711,100%,Spain,3.0,f +20334,99%,Niger,171.0,t +25687,100%,Anguilla,17.0,f +24033,100%,Uganda,45.0,f +19830,,Sao Tome and Principe,2.0,f +26526,94%,Tonga,8.0,f +20258,100%,,3.0,f +33817,100%,Gibraltar,62.0,f +25687,100%,Anguilla,17.0,f +11384,90%,Sao Tome and Principe,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +29645,100%,,1.0,t +34025,,Nicaragua,6.0,f +36470,100%,Bosnia and Herzegovina,1.0,f +22338,100%,Turks and Caicos Islands,2.0,t +19985,100%,,1.0,f +11318,100%,,1.0,f +5544,,Chad,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +33938,100%,United Kingdom,2.0,f +21403,95%,Vietnam,8.0,f +26524,100%,Guinea,2.0,t +20427,83%,,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +4316,100%,Micronesia,18.0,f +24267,100%,,1.0,f +13749,100%,Estonia,1.0,f +21519,100%,Jersey,3.0,f +11777,100%,,1.0,f +46844,100%,Sao Tome and Principe,1.0,f +21608,50%,Christmas Island,2.0,f +28076,86%,,1.0,f +25687,100%,Anguilla,17.0,f +37249,,Malta,1.0,f +12330,,Bouvet Island (Bouvetoya),1.0,f +25687,100%,Anguilla,17.0,f +8587,100%,Gambia,1.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +19602,100%,Lithuania,24.0,f +43719,,China,1.0,f +24033,100%,Uganda,45.0,f +16567,100%,Russian Federation,4.0,f +25687,100%,Anguilla,17.0,f +26811,,,1.0,f +25687,100%,Anguilla,17.0,f +25687,100%,Anguilla,17.0,f +12369,90%,Russian Federation,2.0,f +4330,94%,Ukraine,60.0,t +8601,,Angola,16.0,f +19282,100%,Niue,1.0,f +24594,100%,Rwanda,14.0,f +18828,100%,Ecuador,2.0,t +34436,100%,,1.0,f +24016,100%,Bosnia and Herzegovina,29.0,f +11303,100%,Bosnia and Herzegovina,1.0,f +40969,100%,Mauritania,5.0,f +11773,70%,,1.0,f +29580,100%,Russian Federation,3.0,f +7305,,,1.0,f +40969,100%,Mauritania,5.0,f +14993,100%,Chile,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +35076,91%,Palestinian Territory,1.0,f +28141,83%,Uzbekistan,2.0,t +40969,100%,Mauritania,5.0,f +21682,100%,United Kingdom,2.0,f +41819,100%,Congo,1.0,f +40969,100%,Mauritania,5.0,f +9098,100%,Turks and Caicos Islands,1.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +40969,100%,Mauritania,5.0,f +16462,,Sao Tome and Principe,1.0,f +14216,100%,Tanzania,1.0,f +6631,100%,El Salvador,1.0,f +44906,100%,,1.0,f +10711,93%,Uganda,108.0,t +28414,100%,Uzbekistan,22.0,f +35000,67%,,1.0,f +15620,95%,Marshall Islands,5.0,f +47274,100%,Tonga,48.0,f +47991,100%,Niue,1.0,f +44316,98%,Uganda,6.0,t +19442,100%,Kenya,3.0,f +28334,100%,,3.0,f +14147,,Kiribati,1.0,f +6737,100%,Isle of Man,2.0,f +23443,100%,,1.0,f +34543,100%,Mauritania,2.0,t +40536,100%,Costa Rica,1.0,f +41721,100%,Turkmenistan,1.0,f +49020,,,1.0,f +16377,,Gambia,5.0,f +25120,100%,,1.0,f +16243,,Lebanon,3.0,f +43227,,China,1.0,f +35507,100%,,1.0,f +3032,75%,Andorra,1.0,f +40623,100%,Holy See (Vatican City State),2.0,t +38137,99%,Zimbabwe,16.0,f +7407,,,7.0,t +42081,,Mauritania,1.0,t +41147,,,1.0,t +36766,100%,Malta,1.0,f +2889,100%,Uganda,1.0,t +43852,100%,Bhutan,3.0,f +9343,100%,Afghanistan,10.0,t +2983,100%,,1.0,f +9723,100%,Rwanda,3.0,t +14514,,China,80.0,t +27432,100%,Uganda,1.0,f +8501,,Montserrat,1.0,f +5906,60%,,1.0,f +39239,100%,,1.0,f +22270,100%,,3.0,t +5771,98%,Vietnam,8.0,f +34102,100%,Nicaragua,6.0,f +36967,100%,Barbados,7.0,t +18821,100%,Mauritania,1.0,f +49513,100%,Denmark,2.0,f +16489,100%,Russian Federation,42.0,t +39781,100%,Brazil,1.0,t +36967,100%,Barbados,7.0,t +36967,100%,Barbados,7.0,t +19142,90%,Niger,9.0,f +41770,100%,,1.0,t +45567,100%,,1.0,f +39383,78%,France,3.0,t +8409,98%,Maldives,9.0,f +46669,86%,Brazil,11.0,f +18484,100%,Gambia,108.0,f +40306,,Anguilla,1.0,t +8473,100%,,1.0,f +9630,100%,,13.0,f +9630,100%,,13.0,f +9630,100%,,13.0,f +9630,100%,,13.0,f +9630,100%,,13.0,f +9630,100%,,13.0,f +32676,100%,China,34.0,f +34862,100%,Uzbekistan,1.0,f +35833,83%,Estonia,9.0,t +28774,100%,Montserrat,3.0,f +13837,,,1.0,f +12044,100%,Switzerland,2.0,f +1619,100%,Malta,1.0,f +2844,98%,Marshall Islands,12.0,f +43422,100%,Canada,1.0,f +41484,89%,Anguilla,23.0,f +25002,,China,12.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +32676,100%,China,34.0,f +6334,100%,Marshall Islands,3.0,f +27392,90%,Sao Tome and Principe,1.0,f +35977,100%,Marshall Islands,1.0,f +28642,100%,Russian Federation,1.0,f +25222,80%,Kenya,11.0,t +25958,100%,Tonga,3.0,f +25350,100%,,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +34836,,,1.0,t +22721,100%,Ecuador,109.0,f +25222,80%,Kenya,11.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +24071,100%,Indonesia,22.0,f +18300,100%,,1.0,f +32504,100%,Gambia,1.0,f +24565,100%,Anguilla,4.0,f +35833,83%,Estonia,9.0,t +25455,,French Guiana,1.0,f +48067,100%,Indonesia,1.0,f +28369,90%,Sao Tome and Principe,9.0,f +24732,50%,Gibraltar,1.0,t +21623,100%,Maldives,1.0,f +46611,94%,,7.0,f +8908,100%,,2.0,f +29368,100%,Kiribati,4.0,f +36640,100%,Uganda,6.0,f +35631,,Togo,1.0,f +19214,100%,Senegal,55.0,f +25046,100%,Maldives,14.0,f +24656,100%,Finland,4.0,t +15028,100%,Kenya,1.0,f +20495,100%,Anguilla,1.0,f +48133,,Isle of Man,45.0,f +14954,100%,,1.0,f +47261,100%,Estonia,7.0,f +37948,100%,,1.0,f +3128,78%,,1.0,f +27815,71%,,1.0,f +47274,100%,Tonga,48.0,f +43375,,Congo,1.0,f +23639,100%,El Salvador,2.0,f +4565,100%,Turkmenistan,1.0,f +37072,100%,Russian Federation,1.0,t +24070,,Nauru,1.0,f +3992,67%,,1.0,f +24991,100%,Indonesia,14.0,f +27883,100%,Cuba,11.0,f +21184,100%,Chad,2.0,t +32517,100%,Tunisia,5.0,f +49754,100%,Tonga,4.0,f +12957,100%,Lithuania,2.0,f +17807,90%,,1.0,f +4505,0%,Somalia,2.0,f +3921,98%,,14.0,f +41436,100%,Russian Federation,1.0,f +42847,100%,,1.0,f +3921,98%,,14.0,f +36487,100%,,1.0,t +356,99%,Wallis and Futuna,32.0,t +4505,0%,Somalia,2.0,f +686,97%,Micronesia,7.0,t +37763,80%,Guinea,2.0,f +6647,100%,Senegal,2.0,t +24513,,Rwanda,2.0,f +11484,100%,French Guiana,2.0,t +49884,100%,Andorra,1.0,f +28828,100%,Isle of Man,198.0,t +37778,92%,Tonga,24.0,f +43772,50%,Mexico,12.0,t +9916,100%,Niger,4.0,f +9771,100%,Bosnia and Herzegovina,7.0,t +42416,97%,Puerto Rico,20.0,f +14955,100%,Micronesia,1.0,t +184,,,1.0,f +49908,,Chad,1.0,f +13813,100%,,1.0,f +31293,100%,Uzbekistan,1.0,f +28299,100%,Mexico,1.0,f +35672,83%,Wallis and Futuna,1.0,f +5557,25%,Nicaragua,1.0,f +31298,96%,,5.0,f +20546,100%,Gambia,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +24594,100%,Rwanda,14.0,f +783,100%,Svalbard & Jan Mayen Islands,12.0,t +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +31202,90%,Kiribati,107.0,f +12983,100%,Micronesia,1.0,f +39658,100%,,4.0,f +67,100%,Jersey,1.0,t +16695,96%,Tonga,8.0,f +29721,100%,Russian Federation,1.0,f +48416,100%,Mauritania,2.0,f +46271,99%,Micronesia,20.0,f +19217,98%,Marshall Islands,46.0,f +46953,100%,Niger,1.0,f +3790,100%,Netherlands,16.0,f +8952,100%,Montserrat,4.0,t +48440,,,1.0,f +33950,100%,Gambia,1.0,t +20263,99%,Maldives,35.0,t +35349,100%,,1.0,f +9251,100%,,1.0,f +8542,88%,France,1.0,f +30605,,French Guiana,1.0,f +43100,100%,Rwanda,1.0,f +40787,33%,Marshall Islands,2.0,f +19365,90%,French Guiana,1.0,f +35176,100%,Chile,3.0,t +47336,,Micronesia,2.0,f +21305,100%,Russian Federation,1.0,f +19619,,Nicaragua,2.0,f +21514,0%,Greenland,1.0,f +1155,,,1.0,f +43222,100%,,1.0,f +19619,,Nicaragua,2.0,f +8556,100%,Niue,1.0,t +13070,100%,Fiji,45.0,f +34922,100%,Canada,1.0,f +5233,100%,Montserrat,6.0,t +33022,100%,Mauritania,4.0,f +22679,100%,Barbados,5.0,f +28563,100%,,2.0,f +35656,100%,,1.0,f +38270,100%,Maldives,6.0,f +33022,100%,Mauritania,4.0,f +8499,100%,Mauritania,1.0,f +36640,100%,Uganda,6.0,f +8298,100%,Guinea,14.0,f +10711,93%,Uganda,108.0,t +33022,100%,Mauritania,4.0,f +36081,100%,Russian Federation,1.0,f +9592,90%,Jersey,1.0,f +8298,100%,Guinea,14.0,f +8298,100%,Guinea,14.0,f +33022,100%,Mauritania,4.0,f +41630,100%,Kiribati,24.0,f +35833,83%,Estonia,9.0,t +18832,100%,Zimbabwe,8.0,f +49435,100%,Marshall Islands,6.0,t +13070,100%,Fiji,45.0,f +43777,100%,Denmark,18.0,f +26768,,Indonesia,9.0,f +41546,100%,Mauritania,21.0,f +43777,100%,Denmark,18.0,f +41546,100%,Mauritania,21.0,f +31690,100%,,1.0,f +47353,94%,Niue,20.0,f +26768,,Indonesia,9.0,f +26768,,Indonesia,9.0,f +47353,94%,Niue,20.0,f +47353,94%,Niue,20.0,f +6713,100%,Mauritania,10.0,f +26986,100%,Jersey,20.0,f +2635,90%,Vanuatu,1.0,f +19449,100%,,3.0,f +7014,100%,Puerto Rico,1.0,f +2741,100%,Mauritania,2.0,f +41283,100%,Slovakia (Slovak Republic),1.0,f +39318,0%,Nauru,1.0,f +11721,100%,Denmark,2.0,f +3537,17%,,1.0,f +35503,100%,Mexico,3.0,f +15078,,Vietnam,8.0,f +25632,100%,Cuba,13.0,f +15078,,Vietnam,8.0,f +15406,80%,Guinea,1.0,f +25632,100%,Cuba,13.0,f +25632,100%,Cuba,13.0,f +34860,50%,,1.0,f +41820,100%,,1.0,f +35325,100%,,2.0,t +7735,100%,,2.0,t +48530,100%,Malta,1.0,t +41829,100%,Nauru,1.0,f +49358,70%,Uruguay,1.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +18999,100%,Chile,2.0,f +2081,97%,Niue,2.0,f +23286,100%,Turkmenistan,1.0,t +11340,50%,,5.0,f +28662,100%,Brazil,2.0,f +18177,93%,Fiji,10.0,f +42436,,Ghana,4.0,f +3767,100%,,1.0,f +42093,100%,Micronesia,2.0,f +46145,90%,Zimbabwe,1.0,f +36435,100%,Anguilla,1.0,t +26986,100%,Jersey,20.0,f +40735,,Mauritania,1.0,f +39919,90%,Guinea,3.0,t +28369,90%,Sao Tome and Principe,9.0,f +39919,90%,Guinea,3.0,t +36611,71%,Maldives,14.0,f +15508,0%,El Salvador,1.0,f +10711,93%,Uganda,108.0,t +18990,100%,,1.0,t +2903,100%,Nicaragua,2.0,t +10078,80%,Turkmenistan,1.0,f +20675,100%,Russian Federation,1.0,t +12094,100%,,1.0,t +19637,100%,,1.0,f +7269,100%,,2.0,f +41296,100%,Svalbard & Jan Mayen Islands,1.0,f +10630,100%,Wallis and Futuna,1.0,t +35617,100%,Marshall Islands,1.0,f +18189,,Nauru,1.0,f +13419,100%,Puerto Rico,1.0,f +27246,100%,,3.0,f +33927,100%,Barbados,9.0,f +5202,,,2.0,f +26492,100%,Nicaragua,1.0,f +33260,100%,Turkmenistan,2.0,t +27246,100%,,3.0,f +27246,100%,,3.0,f +33880,84%,Barbados,18.0,f +42307,,,1.0,f +43127,100%,Maldives,1.0,f +2760,100%,Indonesia,3.0,f +2760,100%,Indonesia,3.0,f +20458,,Isle of Man,1.0,f +15972,90%,Chad,1.0,f +36777,100%,Wallis and Futuna,1.0,f +14108,100%,Gambia,1.0,f +39849,100%,Micronesia,3.0,f +1868,100%,China,4.0,t +8779,,,1.0,f +11362,100%,,3.0,f +40138,100%,Djibouti,1.0,f +40267,100%,Uzbekistan,2.0,t +7592,98%,,13.0,t +43312,94%,,1.0,t +40993,100%,Montserrat,15.0,f +9896,100%,Turkmenistan,2.0,f +16076,,,1.0,t +27579,100%,,1.0,f +21675,100%,Tonga,2.0,f +41038,95%,Niue,4.0,f +30941,93%,Barbados,3.0,f +31356,77%,Kiribati,3.0,f +41278,67%,Uzbekistan,1.0,f +32526,100%,Russian Federation,1.0,f +32349,100%,,4.0,f +41630,100%,Kiribati,24.0,f +41630,100%,Kiribati,24.0,f +32759,100%,Sao Tome and Principe,1.0,f +42557,100%,Niue,1.0,t +44123,100%,Russian Federation,1.0,t +41308,90%,Zimbabwe,1.0,t +24856,100%,Portugal,1.0,t +19608,90%,Mexico,1.0,f +49724,,,1.0,f +16489,100%,Russian Federation,42.0,t +45310,,Guinea,2.0,f +26957,100%,Uzbekistan,1.0,f +11061,100%,Togo,2.0,f +15024,100%,Puerto Rico,3.0,f +10192,100%,Palestinian Territory,1.0,f +19118,100%,,2.0,t +18658,,,1.0,f +13815,100%,Malta,1.0,t +21694,100%,Slovakia (Slovak Republic),1.0,f +7331,99%,Indonesia,8.0,t +49665,100%,Libyan Arab Jamahiriya,1.0,f +16489,100%,Russian Federation,42.0,t +38112,100%,Malta,1.0,f +46437,,,5.0,f +9718,100%,,1.0,f +10559,100%,,1.0,t +46437,,,5.0,f +2270,100%,Nicaragua,1.0,f +1809,100%,,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +46437,,,5.0,f +49819,100%,Gambia,1.0,f +42416,97%,Puerto Rico,20.0,f +19162,100%,Togo,1.0,f +16800,,,1.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +31190,,,1.0,t +30662,100%,Guinea,2.0,f +23034,99%,Monaco,54.0,f +25525,90%,Faroe Islands,3.0,t +16593,100%,Chile,4.0,f +45310,,Guinea,2.0,f +6654,100%,Tonga,3.0,f +5996,100%,Peru,1.0,f +26,90%,Niue,2.0,f +21506,100%,Bahrain,1.0,t +42698,,Niger,1.0,f +12491,100%,Pakistan,3.0,f +16753,90%,,2.0,f +9241,100%,Sao Tome and Principe,1.0,f +42875,100%,Faroe Islands,1.0,f +24853,100%,,1.0,f +28835,100%,El Salvador,1.0,f +44693,100%,,1.0,f +48026,100%,,3.0,f +21187,100%,Niger,2.0,f +16642,100%,Finland,1.0,f +19757,100%,Niger,3.0,f +40854,75%,Netherlands,3.0,t +16761,100%,,3.0,f +4712,100%,Marshall Islands,1.0,f +41359,100%,Micronesia,6.0,f +1685,90%,Niue,2.0,f +8409,98%,Maldives,9.0,f +33808,100%,,1.0,f +24605,83%,,1.0,f +8581,100%,,1.0,f +17568,100%,,2.0,f +34771,100%,,1.0,t +50011,100%,,1.0,f +6913,100%,,2.0,t +49103,80%,Rwanda,5.0,f +6646,100%,,1.0,f +13670,92%,,1.0,t +47999,,Turks and Caicos Islands,1.0,f +14843,,,1.0,f +18149,100%,Sao Tome and Principe,1.0,f +33063,100%,,1.0,f +13679,100%,,1.0,f +36499,75%,Anguilla,25.0,t +1190,100%,Papua New Guinea,1.0,f +31390,100%,France,1.0,t +26638,80%,Gambia,1.0,f +36244,100%,Congo,2.0,f +10840,100%,Nicaragua,1.0,f +36524,100%,Saint Helena,8.0,t +30187,100%,Marshall Islands,2.0,f +41986,100%,Congo,1.0,t +30393,100%,Djibouti,9.0,f +16761,100%,,3.0,f +16761,100%,,3.0,f +22648,90%,Niger,1.0,f +5663,,Russian Federation,8.0,t +9431,90%,,2.0,f +17619,74%,Ghana,14.0,f +37301,,Togo,1.0,f +17619,74%,Ghana,14.0,f +31019,100%,Ghana,5.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +41202,100%,Niue,3.0,f +44008,100%,,1.0,f +47097,100%,Papua New Guinea,1.0,f +36595,100%,Netherlands Antilles,2.0,f +39265,,Sao Tome and Principe,2.0,f +18247,95%,Iran,80.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +43183,98%,Tonga,12.0,t +18247,95%,Iran,80.0,t +46118,100%,Nicaragua,11.0,f +18247,95%,Iran,80.0,t +18949,100%,Rwanda,1.0,t +43183,98%,Tonga,12.0,t +21229,100%,Pakistan,10.0,t +39307,100%,Nauru,1.0,f +35105,100%,Gambia,4.0,f +18247,95%,Iran,80.0,t +15466,100%,Senegal,4.0,f +18247,95%,Iran,80.0,t +8119,,,1.0,f +18247,95%,Iran,80.0,t +18247,95%,Iran,80.0,t +45868,100%,,1.0,f +6480,100%,Andorra,2.0,f +28772,100%,Niger,15.0,t +37036,94%,Estonia,9.0,f +21883,,Bahrain,11.0,t +43183,98%,Tonga,12.0,t +28414,100%,Uzbekistan,22.0,f +42416,97%,Puerto Rico,20.0,f +16550,100%,Isle of Man,1.0,f +10540,100%,Togo,1.0,f +18155,100%,,2.0,f +25046,100%,Maldives,14.0,f +47281,,Guernsey,1.0,f +28414,100%,Uzbekistan,22.0,f +4799,100%,Mauritania,5.0,f +34042,100%,Marshall Islands,37.0,f +35344,88%,,1.0,f +3095,100%,,1.0,t +38503,100%,Tonga,1.0,t +37048,100%,Isle of Man,1.0,f +42416,97%,Puerto Rico,20.0,f +21452,99%,Lebanon,29.0,f +44403,,Isle of Man,1.0,f +20329,100%,Reunion,21.0,f +18484,100%,Gambia,108.0,f +7765,100%,Niue,9.0,t +40791,93%,Ghana,3.0,f +3406,91%,Monaco,6.0,t +7079,100%,Niue,1.0,f +25207,100%,,9.0,t +2883,100%,Tanzania,2.0,f +43125,100%,Tonga,1.0,f +11277,100%,Afghanistan,1.0,f +26246,80%,Kiribati,1.0,f +35495,100%,Sao Tome and Principe,1.0,f +3406,91%,Monaco,6.0,t +28646,100%,Kiribati,2.0,f +14907,,Kenya,1.0,f +6129,100%,Isle of Man,2.0,f +41751,100%,,1.0,f +11033,100%,Reunion,3.0,f +37422,100%,Brazil,4.0,t +1892,100%,Puerto Rico,1.0,f +12137,99%,Sao Tome and Principe,33.0,t +20334,99%,Niger,171.0,t +17036,81%,Reunion,6.0,f +31905,100%,Niue,1.0,f +30984,,,1.0,f +15957,100%,Nicaragua,1.0,f +8949,100%,Isle of Man,4.0,f +7791,100%,Grenada,2.0,f +40025,,Cook Islands,1.0,f +22679,100%,Barbados,5.0,f +4217,,Kenya,52.0,f +1331,100%,,1.0,f +28414,100%,Uzbekistan,22.0,f +8298,100%,Guinea,14.0,f +46439,100%,Rwanda,5.0,f +27800,100%,Uzbekistan,1.0,f +25002,,China,12.0,f +44888,75%,,7.0,f +44888,75%,,7.0,f +38970,100%,,3.0,f +44888,75%,,7.0,f +44888,75%,,7.0,f +44888,75%,,7.0,f +44888,75%,,7.0,f +44888,75%,,7.0,f +26,90%,Niue,2.0,f +33497,100%,Zimbabwe,1.0,f +31866,100%,Denmark,2.0,f +24493,,Bosnia and Herzegovina,3.0,f +36570,100%,Isle of Man,2.0,f +32806,100%,Niue,1.0,f +22331,99%,Rwanda,50.0,t +20422,100%,Fiji,2.0,f +23328,,,1.0,f +27309,,Isle of Man,4.0,f +27049,67%,Niue,1.0,f +11284,100%,,1.0,f +22331,99%,Rwanda,50.0,t +4050,90%,,1.0,f +19574,89%,,1.0,t +28278,90%,Chile,1.0,t +37824,100%,,2.0,f +33205,100%,Monaco,1.0,f +47579,100%,Uzbekistan,4.0,f +12390,86%,Uzbekistan,3.0,f +12712,100%,Lithuania,1.0,f +33238,100%,France,1.0,f +43971,100%,Monaco,2.0,f +48206,100%,Chile,1.0,f +13453,100%,Jersey,2.0,f +6906,100%,Papua New Guinea,1.0,f +32568,100%,,1.0,f +45757,100%,,1.0,f +4855,,Zimbabwe,2.0,f +48252,,Vanuatu,4.0,f +7318,100%,Niger,2.0,f +21005,100%,Cocos (Keeling) Islands,1.0,f +30393,100%,Djibouti,9.0,f +32458,92%,Vietnam,4.0,f +12039,88%,,1.0,f +3617,100%,Russian Federation,1.0,t +45592,100%,Maldives,2.0,t +39486,,Nicaragua,1.0,f +31576,,Isle of Man,2.0,f +32386,97%,Indonesia,19.0,f +22267,100%,,1.0,f +5239,100%,Nicaragua,2.0,t +5239,100%,Nicaragua,2.0,t +41484,89%,Anguilla,23.0,f +28828,100%,Isle of Man,198.0,t +14666,75%,,1.0,f +33708,100%,Marshall Islands,3.0,f +4526,100%,,4.0,f +24033,100%,Uganda,45.0,f +14396,70%,Isle of Man,2.0,f +25809,100%,Lithuania,5.0,t +11792,100%,,3.0,f +46088,,Ghana,15.0,f +41030,100%,Niue,1.0,f +5274,,Sao Tome and Principe,1.0,t +13775,,Chad,1.0,t +1162,,,2.0,f +5047,100%,Niger,1.0,f +17619,74%,Ghana,14.0,f +37045,100%,Kenya,1.0,t +47274,100%,Tonga,48.0,f +37551,100%,Chad,1.0,t +3790,100%,Netherlands,16.0,f +14139,100%,Isle of Man,1.0,t +20411,100%,Pakistan,4.0,t +13070,100%,Fiji,45.0,f +49790,,,1.0,t +8378,100%,,1.0,f +41889,96%,Uzbekistan,14.0,t +19217,98%,Marshall Islands,46.0,f +12565,100%,Senegal,1.0,f +35182,,Chad,2.0,f +13128,67%,Chile,2.0,t +22585,100%,Togo,3.0,f +47274,100%,Tonga,48.0,f +22969,50%,Sao Tome and Principe,1.0,f +26745,100%,Marshall Islands,1.0,f +11411,100%,Russian Federation,2.0,f +18322,100%,Malta,1.0,f +44416,91%,Kenya,2.0,f +12988,98%,Pakistan,5.0,f +41725,100%,,2.0,f +46663,0%,Puerto Rico,1.0,f +35410,100%,Malawi,1.0,f +5030,0%,Kiribati,1.0,f +22849,100%,Denmark,4.0,t +30748,,Guinea,5.0,f +20609,60%,Mauritania,1.0,f +14514,,China,80.0,t +37434,100%,Cocos (Keeling) Islands,1.0,f +20650,100%,Uzbekistan,3.0,t +13617,100%,,1.0,f +40453,100%,French Guiana,1.0,f +12379,100%,Estonia,1.0,f +47274,100%,Tonga,48.0,f +30748,,Guinea,5.0,f +11872,,,13.0,f +46892,100%,Isle of Man,1.0,f +16917,100%,Guinea,2.0,t +16118,,Cocos (Keeling) Islands,1.0,f +11721,100%,Denmark,2.0,f +19217,98%,Marshall Islands,46.0,f +1386,,Kenya,1.0,f +38868,100%,Montserrat,7.0,f +1630,,Chad,1.0,f +26700,,Niue,6.0,f +30748,,Guinea,5.0,f +23465,100%,Tonga,1.0,f +48267,100%,Tonga,2.0,t +27063,100%,United Kingdom,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +12020,100%,Congo,4.0,t +46481,,Philippines,4.0,t +44398,100%,Niue,2.0,f +30375,100%,,1.0,f +36408,100%,Nauru,5.0,f +8727,86%,French Guiana,1.0,f +30734,100%,,1.0,t +15405,50%,Gambia,1.0,t +38868,100%,Montserrat,7.0,f +47084,99%,Anguilla,4.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +7921,100%,Pakistan,1.0,t +4650,100%,,3.0,f +37735,100%,Uganda,13.0,t +4650,100%,,3.0,f +49614,75%,Isle of Man,1.0,f +38868,100%,Montserrat,7.0,f +31884,83%,,2.0,f +5458,100%,,1.0,f +1146,95%,French Polynesia,9.0,f +22160,,Chile,1.0,f +6713,100%,Mauritania,10.0,f +662,,Kenya,1.0,f +13070,100%,Fiji,45.0,f +45734,,Guinea,2.0,f +6713,100%,Mauritania,10.0,f +16962,100%,Montserrat,2.0,f +25808,100%,Malta,1.0,f +1162,,,2.0,f +30393,100%,Djibouti,9.0,f +41493,100%,Gambia,5.0,f +13070,100%,Fiji,45.0,f +17795,100%,Uzbekistan,11.0,t +42622,100%,,1.0,f +1824,100%,,4.0,t +13070,100%,Fiji,45.0,f +30393,100%,Djibouti,9.0,f +6128,100%,Togo,1.0,f +16914,100%,Niue,2.0,f +30393,100%,Djibouti,9.0,f +30393,100%,Djibouti,9.0,f +33065,100%,Uzbekistan,6.0,f +8924,100%,Guinea,5.0,f +27826,98%,Saint Helena,5.0,f +33733,90%,,2.0,f +26203,100%,Netherlands,1.0,f +48245,100%,,2.0,f +48117,98%,Ukraine,41.0,f +30119,100%,Marshall Islands,2.0,f +34223,,,4.0,f +27657,,Netherlands,1.0,f +41663,100%,Greenland,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +4871,,Mauritania,2.0,f +22137,95%,Micronesia,1.0,f +24079,90%,Netherlands Antilles,3.0,f +43321,100%,France,40.0,f +31931,100%,,1.0,f +43321,100%,France,40.0,f +43321,100%,France,40.0,f +32001,100%,Svalbard & Jan Mayen Islands,2.0,t +15275,100%,Niue,1.0,f +22535,67%,Rwanda,1.0,f +44077,57%,Djibouti,1.0,f +8154,100%,,4.0,f +21886,,Croatia,5.0,t +43152,100%,Nicaragua,82.0,t +6977,100%,Croatia,1.0,f +13070,100%,Fiji,45.0,f +3406,91%,Monaco,6.0,t +21461,50%,Slovakia (Slovak Republic),1.0,f +13641,85%,Mauritania,23.0,f +19905,97%,Monaco,8.0,f +29739,100%,Reunion,4.0,f +47345,100%,,2.0,f +43777,100%,Denmark,18.0,f +12173,100%,Uganda,9.0,f +44937,100%,Puerto Rico,19.0,t +38019,100%,Afghanistan,10.0,f +48985,97%,Guinea,8.0,f +13445,100%,,1.0,t +18893,100%,Micronesia,3.0,t +8924,100%,Guinea,5.0,f +47490,78%,Nicaragua,2.0,f +324,100%,,3.0,f +22233,100%,,3.0,f +12173,100%,Uganda,9.0,f +24185,90%,Niue,1.0,f +38405,67%,Zimbabwe,1.0,f +11302,100%,Estonia,2.0,f +48985,97%,Guinea,8.0,f +12173,100%,Uganda,9.0,f +18484,100%,Gambia,108.0,f +22233,100%,,3.0,f +13417,100%,Pakistan,8.0,t +13417,100%,Pakistan,8.0,t +7451,100%,Niue,1.0,t +13417,100%,Pakistan,8.0,t +13417,100%,Pakistan,8.0,t +5443,,,1.0,f +47214,,Cyprus,2.0,t +13417,100%,Pakistan,8.0,t +37911,100%,Guinea,2.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +43152,100%,Nicaragua,82.0,t +17619,74%,Ghana,14.0,f +28382,100%,Grenada,1.0,f +12420,100%,Zimbabwe,1.0,t +47689,,,2.0,f +14087,100%,,5.0,f +31573,,,1.0,f +44785,100%,,1.0,f +19217,98%,Marshall Islands,46.0,f +32309,,,1.0,f +31635,100%,Guinea,1.0,f +32389,75%,,5.0,f +43152,100%,Nicaragua,82.0,t +29647,100%,Peru,1305.0,f +31364,,,1.0,f +42819,100%,Lebanon,2.0,f +47596,50%,Turkmenistan,1.0,f +32389,75%,,5.0,f +19037,,Montserrat,4.0,t +18784,100%,Ukraine,2.0,t +41484,89%,Anguilla,23.0,f +32389,75%,,5.0,f +38222,100%,,3.0,t +33372,100%,Guinea,22.0,t +8272,,Anguilla,1.0,f +41484,89%,Anguilla,23.0,f +41834,100%,Micronesia,2.0,f +42501,100%,Lebanon,1.0,t +8298,100%,Guinea,14.0,f +8924,100%,Guinea,5.0,f +47606,100%,Togo,17.0,f +34852,,Niue,10.0,t +47606,100%,Togo,17.0,f +39619,40%,,1.0,f +8924,100%,Guinea,5.0,f +11423,100%,Lebanon,1.0,f +27652,100%,El Salvador,5.0,f +8228,100%,Isle of Man,1.0,t +29054,100%,Montserrat,1.0,t +47566,64%,,5.0,f +42416,97%,Puerto Rico,20.0,f +28828,100%,Isle of Man,198.0,t +34352,60%,Vanuatu,1.0,f +39470,100%,Chile,1.0,f +3463,,Pakistan,1.0,f +11255,93%,Suriname,41.0,f +2544,100%,,1.0,t +15741,100%,Cuba,14.0,f +36408,100%,Nauru,5.0,f +16275,98%,Maldives,24.0,f +35946,91%,Netherlands,1.0,f +16628,,,1.0,t +42869,,El Salvador,9.0,f +1655,100%,,1.0,f +10361,100%,,4.0,f +35685,100%,Niue,1.0,f +44689,100%,Venezuela,3.0,f +29778,100%,Chile,1.0,f +16768,100%,Montserrat,1.0,f +26707,100%,Gibraltar,1.0,f +5587,100%,,1.0,f +26919,100%,Djibouti,4.0,t +1498,,,2.0,f +1273,100%,Lithuania,3.0,f +47274,100%,Tonga,48.0,f +42416,97%,Puerto Rico,20.0,f +15276,90%,Estonia,1.0,f +25147,99%,Niger,48.0,f +37004,50%,,1.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +37646,100%,Estonia,60.0,f +42435,100%,Russian Federation,3.0,t +4477,90%,French Guiana,14.0,f +24071,100%,Indonesia,22.0,f +19831,100%,Reunion,2.0,f +9632,100%,Papua New Guinea,2.0,f +39616,100%,Costa Rica,13.0,f +4477,90%,French Guiana,14.0,f +25382,75%,,1.0,f +33678,,,1.0,f +34039,100%,Brazil,1.0,f +34179,87%,Niue,1.0,t +28828,100%,Isle of Man,198.0,t +20165,94%,Ukraine,30.0,f +5295,100%,,1.0,t +48326,100%,Lebanon,1.0,f +24033,100%,Uganda,45.0,f +45508,100%,Isle of Man,1.0,f +11255,93%,Suriname,41.0,f +31751,100%,Nicaragua,29.0,f +9673,100%,Niue,2.0,t +9516,99%,Pakistan,45.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +14087,100%,,5.0,f +36611,71%,Maldives,14.0,f +49557,,Netherlands,1.0,f +8248,,Faroe Islands,1.0,f +38490,100%,Gambia,1.0,f +8298,100%,Guinea,14.0,f +8154,100%,,4.0,f +8298,100%,Guinea,14.0,f +19831,100%,Reunion,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +22695,97%,Pakistan,6.0,t +23036,100%,Niue,1.0,f +29817,100%,,1.0,f +26332,100%,Croatia,1.0,f +40338,100%,Niue,1.0,f +31092,,Senegal,19.0,f +35419,100%,,2.0,f +48643,100%,Turkmenistan,1.0,f +1905,,Puerto Rico,1.0,f +14092,100%,Uzbekistan,1.0,f +47077,100%,Bouvet Island (Bouvetoya),2.0,f +30712,100%,Faroe Islands,1.0,f +40772,80%,Estonia,4.0,f +42416,97%,Puerto Rico,20.0,f +40793,100%,,75.0,t +20964,,,1.0,t +41484,89%,Anguilla,23.0,f +5615,100%,Guinea,5.0,f +5665,,,1.0,f +46323,,Niger,3.0,f +31939,,Reunion,2.0,f +10595,,Lebanon,1.0,f +47026,90%,Vietnam,3.0,f +28083,100%,Montserrat,2.0,f +48113,100%,Marshall Islands,1.0,f +17247,100%,,1.0,f +18581,98%,Tonga,3.0,f +48417,100%,Djibouti,5.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +20293,100%,Anguilla,1.0,f +49233,100%,Andorra,3.0,f +16753,90%,,2.0,f +3921,98%,,14.0,f +11293,100%,Togo,2.0,f +28414,100%,Uzbekistan,22.0,f +45525,93%,Tonga,9.0,f +10686,86%,Tonga,21.0,f +11340,50%,,5.0,f +18581,98%,Tonga,3.0,f +26986,100%,Jersey,20.0,f +26986,100%,Jersey,20.0,f +46553,100%,Faroe Islands,1.0,f +14087,100%,,5.0,f +31516,100%,Venezuela,1.0,f +41443,25%,Russian Federation,1.0,f +26986,100%,Jersey,20.0,f +13862,95%,Bosnia and Herzegovina,5.0,t +13862,95%,Bosnia and Herzegovina,5.0,t +36593,100%,,1.0,f +1955,100%,Monaco,4.0,f +13862,95%,Bosnia and Herzegovina,5.0,t +43008,98%,Costa Rica,5.0,f +41807,93%,Russian Federation,1.0,t +22774,100%,,3.0,f +35974,100%,Gambia,1.0,f +22774,100%,,3.0,f +43008,98%,Costa Rica,5.0,f +30002,100%,,2.0,t +48684,100%,Nicaragua,1.0,f +40572,50%,,1.0,f +13862,95%,Bosnia and Herzegovina,5.0,t +13862,95%,Bosnia and Herzegovina,5.0,t +19479,80%,Niue,4.0,f +39376,100%,,1.0,f +43008,98%,Costa Rica,5.0,f +48409,,Estonia,60.0,t +49906,100%,,1.0,f +49933,,Reunion,6.0,f +49933,,Reunion,6.0,f +37646,100%,Estonia,60.0,f +49933,,Reunion,6.0,f +48409,,Estonia,60.0,t +48409,,Estonia,60.0,t +48409,,Estonia,60.0,t +25118,100%,Indonesia,4.0,f +28372,100%,Indonesia,12.0,f +20334,99%,Niger,171.0,t +35384,70%,Tanzania,1.0,f +27821,50%,,1.0,f +29733,,Russian Federation,15.0,f +19039,94%,Bahrain,17.0,f +42310,100%,Ecuador,6.0,t +12365,,Niue,3.0,f +30830,100%,Turks and Caicos Islands,1.0,f +37047,97%,United Kingdom,5.0,f +43834,99%,Uganda,13.0,f +47901,100%,,1.0,f +29315,100%,Brazil,6.0,f +44347,88%,Wallis and Futuna,2.0,f +24071,100%,Indonesia,22.0,f +39616,100%,Costa Rica,13.0,f +44347,88%,Wallis and Futuna,2.0,f +23177,100%,Estonia,5.0,f +35654,100%,Russian Federation,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +5997,100%,Kenya,3.0,t +27768,65%,Kiribati,15.0,t +7462,100%,Sao Tome and Principe,2.0,f +13978,,Sao Tome and Principe,1.0,f +45325,100%,,1.0,f +18832,100%,Zimbabwe,8.0,f +6603,100%,Gibraltar,1.0,f +39892,100%,Tonga,31.0,t +32972,100%,Marshall Islands,1.0,f +8298,100%,Guinea,14.0,f +36372,,Wallis and Futuna,3.0,f +16275,98%,Maldives,24.0,f +25321,,Lebanon,1.0,f +37123,100%,Guinea,1.0,f +7333,100%,Russian Federation,1.0,f +43136,,Chile,1.0,f +25410,100%,Sao Tome and Principe,1.0,f +1603,100%,Vanuatu,2.0,f +29647,100%,Peru,1305.0,f +28049,,,1.0,f +29647,100%,Peru,1305.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +4833,100%,Uzbekistan,2.0,f +26004,100%,,1.0,f +4477,90%,French Guiana,14.0,f +25147,99%,Niger,48.0,f +11642,100%,Faroe Islands,1.0,f +9741,99%,Cape Verde,8.0,f +150,,Marshall Islands,2.0,f +32386,97%,Indonesia,19.0,f +32386,97%,Indonesia,19.0,f +26162,,Nauru,3.0,f +21740,100%,,2.0,f +14636,90%,Niue,1.0,f +35331,,,1.0,f +22961,100%,Niger,1.0,f +19005,100%,United Kingdom,1.0,f +17731,100%,,2.0,f +40421,96%,Jersey,29.0,t +46577,100%,,1.0,f +7086,100%,Indonesia,1.0,f +5683,100%,Uganda,1.0,f +11565,100%,Kenya,1.0,f +8983,100%,Anguilla,7.0,f +31529,100%,Wallis and Futuna,6.0,f +1788,100%,Isle of Man,1.0,f +42327,80%,,1.0,f +25376,100%,,3.0,f +2648,,Nicaragua,1.0,f +3790,100%,Netherlands,16.0,f +13070,100%,Fiji,45.0,f +5198,100%,,1.0,f +1440,100%,Gibraltar,4.0,t +14492,100%,,1.0,f +11789,100%,Niue,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +17080,100%,Papua New Guinea,1.0,f +27875,100%,Guinea,1.0,f +28569,100%,Marshall Islands,1.0,f +27127,100%,Marshall Islands,9.0,t +3742,,,1.0,f +3385,100%,French Polynesia,1.0,f +9632,100%,Papua New Guinea,2.0,f +27000,100%,Kenya,2.0,f +8225,95%,Barbados,31.0,f +34748,,Puerto Rico,1.0,f +12585,,Nauru,1.0,f +26218,80%,Russian Federation,1.0,t +20204,,Argentina,2.0,f +22120,100%,Anguilla,1.0,t +47126,,China,1.0,f +36316,,United Kingdom,2.0,f +35497,100%,Mexico,1.0,f +36861,100%,Russian Federation,1.0,f +38652,100%,Uzbekistan,9.0,f +27785,100%,Uzbekistan,58.0,f +15385,100%,Cook Islands,3.0,f +7649,100%,Jersey,1.0,t +30347,,Kenya,6.0,f +45317,100%,Rwanda,1.0,f +15385,100%,Cook Islands,3.0,f +27785,100%,Uzbekistan,58.0,f +20158,100%,El Salvador,1.0,f +24554,100%,,2.0,f +27785,100%,Uzbekistan,58.0,f +43899,100%,Uzbekistan,1.0,f +31370,100%,,1.0,t +34501,83%,Gambia,1.0,f +6384,100%,Niue,2.0,f +27785,100%,Uzbekistan,58.0,f +50022,100%,Jersey,2.0,t +27785,100%,Uzbekistan,58.0,f +33278,100%,Cuba,3.0,f +12396,100%,Lebanon,2.0,f +27785,100%,Uzbekistan,58.0,f +47467,,Sao Tome and Principe,1.0,f +21405,100%,Greenland,2.0,f +8298,100%,Guinea,14.0,f +16275,98%,Maldives,24.0,f +47541,100%,Palestinian Territory,1.0,t +17881,100%,,1.0,t +8685,100%,French Guiana,1.0,f +25492,100%,United Kingdom,1.0,f +5128,100%,Tunisia,2.0,t +274,90%,Togo,2.0,f +27785,100%,Uzbekistan,58.0,f +42443,97%,Tonga,7.0,t +27895,100%,Greenland,1.0,f +4360,100%,Guinea,1.0,f +32607,100%,,1.0,f +6346,100%,,2.0,f +6589,100%,,1.0,t +15078,,Vietnam,8.0,f +26019,100%,Micronesia,1.0,f +38832,97%,,15.0,f +45975,95%,,2.0,f +47084,99%,Anguilla,4.0,f +47084,99%,Anguilla,4.0,f +3921,98%,,14.0,f +16914,100%,Niue,2.0,f +9756,,Greenland,1.0,f +27826,98%,Saint Helena,5.0,f +3555,100%,Zimbabwe,2.0,f +40348,,Lebanon,1.0,f +23469,100%,Nicaragua,116.0,f +27003,100%,,1.0,t +45552,93%,Nicaragua,12.0,t +46155,,Anguilla,2.0,f +6231,,,1.0,f +36946,100%,Malta,1.0,f +15623,60%,,1.0,t +31240,100%,,1.0,t +26527,100%,,1.0,f +17697,90%,Rwanda,3.0,f +31907,100%,Tonga,1.0,t +25356,100%,,1.0,t +29910,,Russian Federation,1.0,f +22105,83%,Uzbekistan,1.0,f +5723,100%,,1.0,f +10217,100%,Bosnia and Herzegovina,7.0,t +11398,100%,,1.0,f +28156,100%,Lebanon,2.0,f +11556,100%,Gibraltar,2.0,f +48978,100%,Rwanda,2.0,f +36203,100%,,1.0,t +21978,94%,Papua New Guinea,2.0,t +35419,100%,,2.0,f +34283,,,1.0,f +21424,100%,,1.0,t +46859,100%,Isle of Man,2.0,t +3951,100%,Isle of Man,1.0,t +20422,100%,Fiji,2.0,f +23355,100%,,1.0,f +21693,100%,Zimbabwe,1.0,f +47998,100%,Tonga,2.0,t +5753,,,1.0,f +17225,100%,,1.0,f +3772,100%,Tunisia,1.0,f +37337,100%,Niue,2.0,t +23256,100%,,6.0,f +19259,,,3.0,f +40728,100%,Tonga,1.0,f +40745,,,3.0,f +9381,100%,,1.0,t +28022,50%,Nauru,1.0,f +2128,100%,United Kingdom,1.0,f +3019,100%,Barbados,18.0,f +7763,,,1.0,t +18497,80%,Afghanistan,1.0,t +47683,100%,,1.0,f +48625,100%,Sao Tome and Principe,1.0,f +22118,100%,Chad,1.0,t +32473,,,1.0,f +6644,100%,Denmark,1.0,f +29315,100%,Brazil,6.0,f +31300,100%,,1.0,f +40346,100%,,1.0,f +43510,,Chad,2.0,f +32406,60%,,1.0,f +44052,100%,Denmark,4.0,f +37647,100%,Gambia,4.0,f +16995,,,1.0,t +27433,100%,,1.0,t +21920,100%,Lebanon,1.0,f +216,100%,El Salvador,45.0,t +42715,100%,Niue,6.0,t +45540,83%,,1.0,t +14424,100%,,1.0,f +44997,100%,Saint Helena,5.0,f +9259,,French Guiana,1.0,t +29299,100%,,1.0,f +14968,,Uganda,1.0,t +3598,100%,Gambia,1.0,t +1929,100%,Niue,7.0,t +32543,100%,,2.0,t +13675,,,1.0,f +36167,89%,Guinea,3.0,f +13535,100%,Brazil,1.0,f +35138,100%,,1.0,f +42097,100%,Kenya,1.0,f +45448,100%,Vietnam,1.0,f +9354,100%,Spain,12.0,f +22353,100%,Indonesia,1.0,f +8749,100%,Niue,1.0,f +21501,100%,Sao Tome and Principe,1.0,f +40806,80%,France,1.0,f +31517,90%,,3.0,f +35598,100%,France,2.0,f +11340,50%,,5.0,f +38757,90%,Gambia,2.0,t +17520,100%,,1.0,f +30609,100%,Turks and Caicos Islands,3.0,f +43039,100%,Russian Federation,2.0,t +33817,100%,Gibraltar,62.0,f +31002,100%,Brazil,1.0,f +34223,,,4.0,f +11413,98%,Somalia,8.0,f +27127,100%,Marshall Islands,9.0,t +47698,100%,,1.0,f +29520,,Nicaragua,54.0,f +45170,100%,Lebanon,1.0,t +45525,93%,Tonga,9.0,f +27127,100%,Marshall Islands,9.0,t +49812,100%,Kenya,2.0,t +6584,56%,Indonesia,1.0,f +24579,,,3.0,f +8114,100%,Indonesia,1.0,f +27127,100%,Marshall Islands,9.0,t +7353,100%,Russian Federation,1.0,f +21984,100%,Russian Federation,1.0,f +29818,100%,Croatia,2.0,f +33817,100%,Gibraltar,62.0,f +5500,,,2.0,f +15284,100%,Micronesia,1.0,f +43237,40%,Montserrat,24.0,f +12204,,,1.0,f +43237,40%,Montserrat,24.0,f +43237,40%,Montserrat,24.0,f +44954,,Rwanda,2.0,t +18320,50%,Reunion,19.0,t +264,,Kiribati,1.0,f +40352,100%,,2.0,t +33817,100%,Gibraltar,62.0,f +23034,99%,Monaco,54.0,f +18484,100%,Gambia,108.0,f +47078,100%,,2.0,t +31966,75%,Nauru,1.0,f +39616,100%,Costa Rica,13.0,f +23256,100%,,6.0,f +26400,100%,Maldives,1.0,t +8601,,Angola,16.0,f +31356,77%,Kiribati,3.0,f +45111,100%,Sao Tome and Principe,420.0,f +39616,100%,Costa Rica,13.0,f +5420,100%,Tonga,41.0,f +31356,77%,Kiribati,3.0,f +15372,100%,Holy See (Vatican City State),1.0,f +38868,100%,Montserrat,7.0,f +38868,100%,Montserrat,7.0,f +38868,100%,Montserrat,7.0,f +38868,100%,Montserrat,7.0,f +1214,100%,,5.0,f +30497,100%,Slovakia (Slovak Republic),9.0,t +39565,93%,Rwanda,12.0,f +7834,94%,Mexico,13.0,f +21200,100%,Tonga,1.0,t +11210,29%,Estonia,1.0,f +23741,100%,Malta,2.0,f +9366,100%,Lithuania,1.0,f +37508,100%,Nicaragua,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +29520,,Nicaragua,54.0,f +29406,100%,Slovenia,1.0,f +7275,,,2.0,f +8128,96%,Nauru,4.0,f +15589,100%,Nicaragua,48.0,f +15589,100%,Nicaragua,48.0,f +11202,100%,,1.0,f +11010,,Micronesia,2.0,f +31467,100%,,1.0,t +29819,80%,Brazil,2.0,f +8983,100%,Anguilla,7.0,f +41614,100%,Uzbekistan,2.0,f +39614,100%,Gambia,2.0,t +41614,100%,Uzbekistan,2.0,f +30123,100%,,2.0,f +2487,100%,Kiribati,1.0,f +14266,,French Guiana,2.0,t +29315,100%,Brazil,6.0,f +39123,70%,,1.0,f +34451,100%,Faroe Islands,3.0,t +22354,100%,,3.0,f +13761,,Nicaragua,2.0,f +32987,100%,,1.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +9078,,Bosnia and Herzegovina,1.0,f +18775,,Lebanon,1.0,f +30046,,Portugal,1.0,f +2943,91%,Fiji,6.0,f +16837,100%,,2.0,t +24596,100%,,1.0,f +41318,100%,,1.0,f +16720,90%,Gibraltar,1.0,t +6334,100%,Marshall Islands,3.0,f +44941,100%,,1.0,f +3462,100%,Montserrat,1.0,t +46383,100%,Montserrat,1.0,f +12661,50%,Montserrat,2.0,f +6034,,Uzbekistan,1.0,f +44937,100%,Puerto Rico,19.0,t +47046,100%,Lebanon,9.0,f +47046,100%,Lebanon,9.0,f +21902,100%,Vanuatu,3.0,f +16341,90%,France,1.0,t +40935,100%,Uzbekistan,1.0,f +7724,100%,Uzbekistan,1.0,f +6809,100%,Isle of Man,1.0,f +32168,100%,Uganda,2.0,f +48421,100%,,4.0,t +14667,100%,,1.0,f +26605,,Slovakia (Slovak Republic),2.0,f +42370,100%,Marshall Islands,6.0,f +43929,89%,Vietnam,3.0,f +42370,100%,Marshall Islands,6.0,f +38611,100%,,1.0,t +12496,,Vanuatu,1.0,f +10761,,Uganda,1.0,f +18504,80%,,2.0,f +15292,,Barbados,4.0,t +16363,50%,,1.0,f +38099,100%,Vanuatu,1.0,f +48352,50%,Nicaragua,2.0,f +32797,100%,Lithuania,1.0,t +39389,,,1.0,f +8703,90%,Andorra,1.0,f +2943,91%,Fiji,6.0,f +42328,93%,Russian Federation,14.0,f +40229,100%,Holy See (Vatican City State),1.0,t +44169,97%,Portugal,39.0,f +31688,,Turks and Caicos Islands,1.0,f +44381,0%,United Kingdom,1.0,f +14514,,China,80.0,t +9331,100%,Suriname,2.0,f +45552,93%,Nicaragua,12.0,t +12137,99%,Sao Tome and Principe,33.0,t +50051,100%,Netherlands,5.0,t +21240,94%,Niger,130.0,f +21883,,Bahrain,11.0,t +21240,94%,Niger,130.0,f +45088,100%,Reunion,9.0,f +21240,94%,Niger,130.0,f +50026,,Croatia,1.0,t +16245,100%,,1.0,f +43316,100%,Indonesia,23.0,f +48133,,Isle of Man,45.0,f +11341,100%,Micronesia,1.0,f +9239,100%,Cuba,17.0,f +41938,100%,Malta,3.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +5444,,Cook Islands,1.0,f +38970,100%,,3.0,f +9939,100%,Philippines,24.0,f +9939,100%,Philippines,24.0,f +21240,94%,Niger,130.0,f +9417,100%,,1.0,f +38191,100%,Monaco,2.0,f +43538,100%,Slovakia (Slovak Republic),1.0,f +21240,94%,Niger,130.0,f +32317,100%,,1.0,f +38970,100%,,3.0,f +21240,94%,Niger,130.0,f +46500,99%,Pakistan,73.0,f +36595,100%,Netherlands Antilles,2.0,f +7090,80%,Philippines,2.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +46500,99%,Pakistan,73.0,f +42906,100%,Tonga,2.0,t +21240,94%,Niger,130.0,f +3964,,San Marino,1.0,f +6912,60%,,1.0,f +26021,100%,Jersey,1.0,f +46500,99%,Pakistan,73.0,f +21240,94%,Niger,130.0,f +46500,99%,Pakistan,73.0,f +8261,100%,Gambia,1.0,t +21240,94%,Niger,130.0,f +7053,100%,Marshall Islands,2.0,f +46500,99%,Pakistan,73.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +11567,100%,Niger,31.0,t +21240,94%,Niger,130.0,f +17565,100%,Guinea,1.0,t +19749,100%,Denmark,6.0,t +4354,60%,,1.0,f +16662,,,1.0,t +39692,100%,Denmark,1.0,t +46500,99%,Pakistan,73.0,f +13702,100%,Guinea,1.0,f +46500,99%,Pakistan,73.0,f +33406,100%,Reunion,4.0,f +42907,86%,Faroe Islands,1.0,t +46500,99%,Pakistan,73.0,f +48117,98%,Ukraine,41.0,f +31158,99%,Suriname,11.0,f +37284,80%,,2.0,f +28438,100%,,2.0,t +3518,,Tonga,1.0,t +28935,100%,Malta,2.0,f +26700,,Niue,6.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +14035,94%,Greenland,1.0,f +35161,,Anguilla,1.0,f +47602,97%,Puerto Rico,18.0,f +5540,100%,Rwanda,1.0,t +49076,97%,Kenya,12.0,t +18077,100%,Sao Tome and Principe,139.0,f +48409,,Estonia,60.0,t +8298,100%,Guinea,14.0,f +38857,100%,France,1.0,f +47549,100%,,1.0,f +21240,94%,Niger,130.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +22721,100%,Ecuador,109.0,f +21240,94%,Niger,130.0,f +11302,100%,Estonia,2.0,f +46500,99%,Pakistan,73.0,f +46500,99%,Pakistan,73.0,f +1929,100%,Niue,7.0,t +30107,100%,Venezuela,2.0,t +46500,99%,Pakistan,73.0,f +21266,92%,Puerto Rico,2.0,f +46500,99%,Pakistan,73.0,f +22774,100%,,3.0,f +39616,100%,Costa Rica,13.0,f +14921,100%,Micronesia,2.0,f +9116,,Lebanon,1.0,f +40793,100%,,75.0,t +45232,100%,,3.0,f +45260,94%,,19.0,f +39077,56%,Micronesia,1.0,f +47353,94%,Niue,20.0,f +9422,100%,Niue,1.0,f +47353,94%,Niue,20.0,f +47353,94%,Niue,20.0,f +2040,,Nauru,1.0,f +36469,,,1.0,f +47046,100%,Lebanon,9.0,f +49381,,Malta,1.0,t +47353,94%,Niue,20.0,f +7281,100%,,1.0,f +19951,88%,Vanuatu,10.0,f +47353,94%,Niue,20.0,f +27021,100%,Denmark,1.0,f +7180,100%,Western Sahara,2.0,t +17172,100%,Niue,1.0,f +33051,100%,Libyan Arab Jamahiriya,1.0,f +47353,94%,Niue,20.0,f +17891,100%,Nicaragua,5.0,t +11454,100%,Montserrat,2.0,f +15825,90%,French Guiana,4.0,t +20548,,Denmark,1.0,f +26984,100%,,1.0,f +9752,,Lebanon,1.0,t +20816,100%,Bouvet Island (Bouvetoya),3.0,f +7857,90%,,1.0,f +33054,100%,Papua New Guinea,1.0,f +4487,100%,United Kingdom,1.0,f +39274,90%,Isle of Man,1.0,f +11687,100%,Tanzania,2.0,f +40940,100%,Malta,2.0,f +10708,0%,Turks and Caicos Islands,4.0,f +17078,100%,,7.0,f +40940,100%,Malta,2.0,f +40364,100%,Tonga,25.0,f +23034,99%,Monaco,54.0,f +44997,100%,Saint Helena,5.0,f +19951,88%,Vanuatu,10.0,f +20816,100%,Bouvet Island (Bouvetoya),3.0,f +5128,100%,Tunisia,2.0,t +29236,100%,,1.0,f +34190,100%,Barbados,6.0,f +34190,100%,Barbados,6.0,f +32700,80%,,2.0,f +25668,100%,Jersey,12.0,t +7034,,Rwanda,1.0,t +6633,100%,Niger,5.0,f +34190,100%,Barbados,6.0,f +6194,75%,,1.0,f +12864,100%,,1.0,t +20699,60%,,2.0,f +5058,100%,Uzbekistan,4.0,f +5842,,China,16.0,f +16537,100%,Marshall Islands,1.0,t +5842,,China,16.0,f +5842,,China,16.0,f +40029,90%,Niger,2.0,t +38983,100%,,1.0,f +11542,100%,,1.0,f +11413,98%,Somalia,8.0,f +28440,75%,Tanzania,1.0,f +730,,,1.0,f +48985,97%,Guinea,8.0,f +4477,90%,French Guiana,14.0,f +36287,100%,Guinea,1.0,t +11677,100%,,8.0,f +45808,100%,Uganda,1.0,f +11677,100%,,8.0,f +37695,,,1.0,f +49236,100%,Spain,3.0,t +48409,,Estonia,60.0,t +324,100%,,3.0,f +37646,100%,Estonia,60.0,f +48117,98%,Ukraine,41.0,f +16268,,,10.0,f +34410,100%,Maldives,1.0,f +5420,100%,Tonga,41.0,f +29647,100%,Peru,1305.0,f +36292,100%,,1.0,f +16268,,,10.0,f +16268,,,10.0,f +3036,,Bosnia and Herzegovina,3.0,f +31075,100%,France,1.0,f +14130,,Russian Federation,10.0,f +41836,100%,Tonga,1.0,f +16268,,,10.0,f +16268,,,10.0,f +18536,100%,Fiji,1.0,f +11612,100%,Kiribati,1.0,f +40772,80%,Estonia,4.0,f +5420,100%,Tonga,41.0,f +16268,,,10.0,f +32790,100%,,2.0,f +6264,100%,Vanuatu,1.0,f +8091,97%,Cuba,10.0,f +22941,100%,Netherlands Antilles,1.0,f +39892,100%,Tonga,31.0,t +45111,100%,Sao Tome and Principe,420.0,f +13064,100%,,1.0,f +21240,94%,Niger,130.0,f +22065,100%,Costa Rica,1.0,t +26919,100%,Djibouti,4.0,t +33946,25%,Cuba,2.0,f +10008,83%,,4.0,f +15611,,,2.0,f +10008,83%,,4.0,f +7204,,Faroe Islands,1.0,f +20263,99%,Maldives,35.0,t +21376,100%,Guinea,1.0,f +43228,100%,,1.0,f +32648,100%,Micronesia,2.0,f +20263,99%,Maldives,35.0,t +26285,94%,Senegal,9.0,f +49987,100%,,19.0,f +32393,100%,Cuba,1.0,f +8511,,,1.0,t +35473,100%,Pakistan,2.0,f +31517,90%,,3.0,f +13403,96%,Maldives,21.0,t +48117,98%,Ukraine,41.0,f +14696,100%,Micronesia,1.0,f +38197,100%,Mauritania,1.0,f +48117,98%,Ukraine,41.0,f +6946,100%,Svalbard & Jan Mayen Islands,1.0,f +16703,100%,Uzbekistan,4.0,f +22012,100%,Christmas Island,1.0,f +34192,75%,Tanzania,3.0,f +28274,100%,Jersey,1.0,f +39775,100%,Niue,1.0,f +21452,99%,Lebanon,29.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +47411,100%,Zimbabwe,1.0,f +20263,99%,Maldives,35.0,t +32517,100%,Tunisia,5.0,f +47274,100%,Tonga,48.0,f +18266,100%,Philippines,2.0,f +35917,90%,Anguilla,1.0,f +21806,89%,,1.0,f +11065,100%,,1.0,t +45080,100%,Estonia,1.0,f +7842,100%,,1.0,f +15611,,,2.0,f +29906,100%,Fiji,2.0,f +46400,93%,,2.0,f +15300,100%,Russian Federation,3.0,t +44821,100%,,1.0,f +17654,,Nauru,3.0,f +19823,100%,,1.0,f +35288,100%,Malta,3.0,t +40793,100%,,75.0,t +31375,100%,Nicaragua,1.0,f +28034,89%,Nauru,2.0,f +14209,100%,Malawi,3.0,f +38733,100%,,2.0,f +5189,100%,Venezuela,2.0,f +10522,46%,Tonga,1.0,f +33456,100%,Mauritania,1.0,f +1107,100%,Papua New Guinea,1.0,f +41024,95%,Uzbekistan,2.0,f +1146,95%,French Polynesia,9.0,f +36521,100%,,1.0,f +39543,100%,,4.0,t +28850,100%,,1.0,t +33028,100%,Uzbekistan,1.0,f +6951,50%,,1.0,f +41024,95%,Uzbekistan,2.0,f +9354,100%,Spain,12.0,f +19673,100%,Croatia,1.0,t +34190,100%,Barbados,6.0,f +42569,75%,Russian Federation,1.0,t +29823,90%,Togo,3.0,f +33237,,Nicaragua,1.0,f +36865,,,1.0,t +21513,100%,,1.0,f +39335,100%,Suriname,2.0,f +48890,,,1.0,f +33823,78%,France,17.0,t +29707,67%,Gambia,1.0,f +19010,,Philippines,2.0,f +49945,100%,Marshall Islands,3.0,f +26502,100%,,1.0,f +27029,100%,Isle of Man,1.0,t +1253,100%,,1.0,f +39280,,United Kingdom,1.0,t +29265,95%,Lithuania,3.0,f +4446,100%,Uganda,58.0,f +12516,,,1.0,t +10086,100%,Kenya,2.0,f +48529,100%,Tonga,1.0,f +27190,,,1.0,f +45292,,Micronesia,2.0,f +38785,100%,Isle of Man,1.0,f +10053,100%,Estonia,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +34991,75%,Nicaragua,2.0,f +13168,100%,,1.0,f +17298,97%,Barbados,7.0,f +33650,,,1.0,f +44967,100%,Estonia,1.0,f +4004,100%,Ecuador,1.0,f +16890,,Niue,1.0,f +39616,100%,Costa Rica,13.0,f +33817,100%,Gibraltar,62.0,f +19039,94%,Bahrain,17.0,f +19039,94%,Bahrain,17.0,f +6645,100%,,1.0,f +37787,100%,Barbados,5.0,f +4316,100%,Micronesia,18.0,f +19039,94%,Bahrain,17.0,f +19039,94%,Bahrain,17.0,f +19514,100%,Djibouti,2.0,f +39616,100%,Costa Rica,13.0,f +10217,100%,Bosnia and Herzegovina,7.0,t +40823,100%,,1.0,f +7894,100%,Ukraine,10.0,f +42166,100%,,1.0,f +39616,100%,Costa Rica,13.0,f +4745,100%,Croatia,119.0,f +32232,,Jersey,1.0,f +4745,100%,Croatia,119.0,f +48069,100%,China,3.0,f +43432,,Chad,1.0,t +26285,94%,Senegal,9.0,f +17218,,Nauru,2.0,f +4745,100%,Croatia,119.0,f +4745,100%,Croatia,119.0,f +16028,100%,Niue,1.0,f +29859,93%,Guinea,4.0,t +34660,100%,Reunion,1.0,f +4446,100%,Uganda,58.0,f +29228,100%,,1.0,f +24020,77%,Tonga,6.0,t +24966,100%,Marshall Islands,1.0,t +36398,,,1.0,f +9263,,Portugal,1.0,f +24149,100%,China,3.0,f +21215,,Monaco,1.0,f +18213,100%,Jersey,2.0,t +18213,100%,Jersey,2.0,t +382,,Sao Tome and Principe,1.0,f +9363,95%,Ukraine,50.0,f +18484,100%,Gambia,108.0,f +11075,,Cocos (Keeling) Islands,1.0,f +24033,100%,Uganda,45.0,f +29647,100%,Peru,1305.0,f +23129,100%,Isle of Man,1.0,f +4311,100%,Afghanistan,1.0,f +15782,,Guinea,1.0,f +26285,94%,Senegal,9.0,f +11985,100%,Marshall Islands,1.0,f +48425,100%,,3.0,f +32995,100%,,1.0,f +4195,100%,Jersey,1.0,f +6564,,Uganda,9.0,f +30976,100%,France,1.0,f +49086,100%,,1.0,f +49550,,Australia,2.0,f +6384,100%,Niue,2.0,f +49550,,Australia,2.0,f +22129,100%,Moldova,1.0,f +10728,,,2.0,f +20980,100%,Zimbabwe,1.0,t +39892,100%,Tonga,31.0,t +28527,100%,Russian Federation,1.0,t +44481,100%,United Kingdom,1.0,f +48252,,Vanuatu,4.0,f +14194,67%,Niue,1.0,t +17606,100%,Guernsey,2.0,f +25668,100%,Jersey,12.0,t +42324,,,1.0,f +21266,92%,Puerto Rico,2.0,f +39892,100%,Tonga,31.0,t +40454,,Zimbabwe,2.0,f +7250,100%,Ecuador,6.0,f +26962,100%,Jersey,1.0,f +38137,99%,Zimbabwe,16.0,f +48196,,France,1.0,f +45451,100%,Zimbabwe,3.0,f +47687,100%,Gibraltar,1.0,t +38137,99%,Zimbabwe,16.0,f +38137,99%,Zimbabwe,16.0,f +48502,100%,Nicaragua,11.0,t +49233,100%,Andorra,3.0,f +38137,99%,Zimbabwe,16.0,f +13247,,El Salvador,2.0,f +32471,83%,Niue,1.0,f +10008,83%,,4.0,f +10008,83%,,4.0,f +45403,90%,Venezuela,3.0,f +21946,0%,Niger,1.0,f +45575,85%,Isle of Man,1.0,f +262,97%,Maldives,16.0,t +24457,0%,Switzerland,1.0,f +43360,100%,Denmark,2.0,f +14514,,China,80.0,t +5398,100%,,1.0,f +13591,100%,,1.0,t +26506,75%,,1.0,f +40076,90%,Montserrat,2.0,f +46993,100%,Togo,2.0,f +35462,,Denmark,1.0,f +41892,100%,Zimbabwe,2.0,f +37597,0%,Nicaragua,1.0,f +44254,100%,,2.0,t +192,,,1.0,f +39616,100%,Costa Rica,13.0,f +13209,100%,Uzbekistan,1.0,f +9046,,,1.0,f +18499,100%,Saint Helena,5.0,f +19905,97%,Monaco,8.0,f +49987,100%,,19.0,f +18168,95%,Ecuador,3.0,f +49858,100%,Estonia,1.0,f +4316,100%,Micronesia,18.0,f +24688,83%,Barbados,7.0,f +39892,100%,Tonga,31.0,t +30347,,Kenya,6.0,f +33683,33%,Somalia,2.0,f +19520,100%,,1.0,f +36372,,Wallis and Futuna,3.0,f +29647,100%,Peru,1305.0,f +6711,100%,Spain,3.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +7545,100%,,1.0,f +35597,100%,Uzbekistan,2.0,f +33740,100%,,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +9126,100%,Kenya,1.0,f +20438,100%,Pakistan,1.0,f +10284,100%,Tanzania,3.0,f +20110,100%,Micronesia,1.0,f +40932,96%,Zimbabwe,3.0,f +40931,,Niue,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +12455,100%,,1.0,t +39420,100%,Lebanon,1.0,f +37515,90%,Croatia,1.0,f +28457,100%,Maldives,1.0,f +12570,100%,Senegal,1.0,f +1054,100%,Guinea,20.0,f +36931,100%,Russian Federation,2.0,f +37062,100%,Isle of Man,2.0,f +18484,100%,Gambia,108.0,f +25628,100%,Estonia,1.0,f +42533,100%,,1.0,f +12422,100%,Andorra,3.0,f +40932,96%,Zimbabwe,3.0,f +45490,95%,Barbados,6.0,f +8253,,Nicaragua,4.0,f +37333,90%,Greenland,1.0,f +11071,90%,,2.0,f +9402,100%,Kiribati,1.0,f +24079,90%,Netherlands Antilles,3.0,f +37615,100%,Vanuatu,1.0,f +25357,100%,Isle of Man,1.0,f +20506,,Anguilla,2.0,f +15251,100%,Gambia,1.0,f +31620,90%,,1.0,f +10742,100%,,1.0,f +14328,99%,Liechtenstein,21.0,t +39203,67%,,1.0,f +27665,,Togo,1.0,f +44699,100%,Somalia,3.0,f +48806,100%,Togo,1.0,f +11317,90%,China,1.0,f +45122,100%,,1.0,t +35442,,Russian Federation,14.0,f +46030,100%,Togo,4.0,f +5497,,,1.0,t +8924,100%,Guinea,5.0,f +38124,100%,Afghanistan,1.0,f +47998,100%,Tonga,2.0,t +48383,,Tonga,1.0,t +10910,100%,Uzbekistan,2.0,f +36801,100%,Niue,2.0,f +438,100%,,1.0,f +37899,,,2.0,f +44886,0%,,1.0,f +15685,100%,,1.0,f +35296,100%,Tonga,1.0,f +20931,100%,,1.0,f +46102,100%,,2.0,f +11513,100%,Malta,2.0,f +29021,,French Guiana,3.0,t +15723,100%,Gambia,1.0,f +23034,99%,Monaco,54.0,f +18483,,Micronesia,2.0,f +23078,100%,Ukraine,8.0,f +24904,100%,Mauritania,1.0,f +35295,100%,Andorra,1.0,f +12965,100%,Vietnam,11.0,t +42941,,,1.0,f +10482,86%,Zimbabwe,2.0,f +26859,90%,,1.0,f +12357,100%,Gambia,4.0,f +47925,100%,Lebanon,1.0,f +17128,100%,Turks and Caicos Islands,1.0,f +18503,90%,Denmark,1.0,f +20699,60%,,2.0,f +41876,100%,Indonesia,1.0,f +14482,100%,France,1.0,f +1377,100%,Tonga,3.0,f +36611,71%,Maldives,14.0,f +1377,100%,Tonga,3.0,f +28697,100%,Nauru,5.0,t +9882,100%,Kiribati,1.0,t +4897,,,1.0,f +8120,100%,Jersey,1.0,f +226,100%,Maldives,2.0,f +40454,,Zimbabwe,2.0,f +3704,,Barbados,1.0,t +5811,100%,Gibraltar,1.0,f +30209,100%,,1.0,f +29859,93%,Guinea,4.0,t +1161,71%,,2.0,f +23132,100%,Chile,1.0,t +17714,,Estonia,7.0,f +12894,67%,United Kingdom,1.0,t +29265,95%,Lithuania,3.0,f +10344,100%,Niue,1.0,f +33180,100%,Gambia,1.0,f +14115,100%,Anguilla,1.0,f +7570,100%,Uzbekistan,3.0,f +30077,84%,Tonga,1.0,f +37318,100%,Congo,1.0,f +25776,75%,Micronesia,1.0,f +32452,,,1.0,f +44699,100%,Somalia,3.0,f +42821,100%,,1.0,f +44699,100%,Somalia,3.0,f +35881,,Kenya,1.0,f +6632,100%,Micronesia,3.0,f +6420,,,1.0,f +2932,,Sao Tome and Principe,1.0,f +39243,,,1.0,f +8004,,Guernsey,1.0,t +14867,100%,,1.0,f +43494,98%,Saint Helena,5.0,f +48026,100%,,3.0,f +8145,100%,Zimbabwe,1.0,f +37257,100%,Rwanda,2.0,f +4499,,Nauru,1.0,t +37709,,El Salvador,1.0,f +36898,100%,Mauritania,1.0,f +9598,100%,Tonga,1.0,f +27757,100%,Uzbekistan,2.0,f +6582,90%,,3.0,f +1300,100%,Micronesia,1.0,f +27636,100%,,1.0,f +28426,100%,,1.0,f +44268,,Isle of Man,1.0,f +15321,100%,Montserrat,1.0,f +19077,100%,France,3.0,f +48677,100%,Russian Federation,1.0,f +45668,100%,Malta,2.0,f +28031,100%,Vanuatu,4.0,f +8351,100%,Turks and Caicos Islands,2.0,f +31227,50%,El Salvador,1.0,f +725,33%,Peru,2.0,f +46505,100%,Afghanistan,2.0,f +6985,100%,Tonga,1.0,f +49317,100%,El Salvador,2.0,f +30229,100%,Gibraltar,1.0,f +19965,,Uzbekistan,1.0,t +22745,,Indonesia,1.0,f +9888,100%,Micronesia,1.0,t +25899,100%,Guinea,1.0,f +22218,100%,Guinea,1.0,f +37778,92%,Tonga,24.0,f +32165,,Cape Verde,1.0,t +17789,94%,Reunion,6.0,f +36854,,Suriname,1.0,f +47159,88%,Denmark,1.0,t +15640,100%,United Kingdom,1.0,f +5807,100%,Nicaragua,1.0,f +45829,100%,Venezuela,4.0,f +43967,100%,,1.0,f +22675,100%,Indonesia,1.0,f +42079,,,1.0,t +7993,100%,Central African Republic,3.0,t +8113,75%,,1.0,f +28872,100%,Anguilla,1.0,f +31247,100%,Cuba,1.0,f +35027,100%,Micronesia,1.0,t +19214,100%,Senegal,55.0,f +19214,100%,Senegal,55.0,f +41589,100%,Turks and Caicos Islands,1.0,f +42950,100%,Kiribati,1.0,f +42661,100%,Jersey,2.0,f +44586,85%,Ukraine,13.0,f +4330,94%,Ukraine,60.0,t +48443,100%,Maldives,1.0,f +41354,100%,Micronesia,4.0,t +33370,,Togo,1.0,f +7250,100%,Ecuador,6.0,f +44997,100%,Saint Helena,5.0,f +31296,98%,,4.0,f +3993,,Maldives,1.0,f +48443,100%,Maldives,1.0,f +7927,100%,Chad,1.0,f +13768,100%,Ecuador,2.0,t +5413,100%,France,3.0,t +38468,100%,Sao Tome and Principe,2.0,f +27898,100%,Christmas Island,1.0,f +11171,100%,Turks and Caicos Islands,4.0,f +28582,100%,,1.0,f +3806,,,11.0,f +15707,100%,Vietnam,4.0,f +34360,100%,Gibraltar,1.0,f +15683,100%,Isle of Man,2.0,f +11484,100%,French Guiana,2.0,t +3229,100%,Bouvet Island (Bouvetoya),2.0,f +48401,,Mexico,2.0,t +41355,100%,Guernsey,1.0,f +4960,91%,,1.0,t +33708,100%,Marshall Islands,3.0,f +17276,,,1.0,f +9741,99%,Cape Verde,8.0,f +15516,100%,Sao Tome and Principe,1.0,f +43071,100%,Maldives,14.0,f +43071,100%,Maldives,14.0,f +6495,89%,Tonga,34.0,f +43071,100%,Maldives,14.0,f +43071,100%,Maldives,14.0,f +20866,50%,Australia,1.0,f +43071,100%,Maldives,14.0,f +23022,67%,Niue,10.0,t +36395,100%,Malawi,1.0,t +42857,100%,,1.0,f +45318,,Sao Tome and Principe,1.0,f +34017,33%,Marshall Islands,1.0,f +45500,100%,Isle of Man,2.0,t +21883,,Bahrain,11.0,t +5973,,Jersey,5.0,f +34604,96%,Kenya,18.0,f +5357,95%,Sao Tome and Principe,1.0,f +10217,100%,Bosnia and Herzegovina,7.0,t +36206,86%,Russian Federation,10.0,f +41488,100%,Nicaragua,1.0,f +40927,100%,Micronesia,3.0,f +20260,100%,,1.0,t +23057,,France,16.0,t +8887,100%,Senegal,5.0,f +16342,,Marshall Islands,6.0,t +14337,,,1.0,f +15638,100%,,1.0,t +9741,99%,Cape Verde,8.0,f +43714,100%,Palestinian Territory,3.0,f +22755,,,8.0,t +38484,100%,Senegal,2.0,f +47407,100%,Tonga,1.0,t +2476,100%,Saint Helena,2.0,t +2943,91%,Fiji,6.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +35219,97%,Tonga,4.0,f +14061,75%,France,2.0,t +30487,,,1.0,f +2943,91%,Fiji,6.0,f +49099,,Lithuania,1.0,f +10173,83%,Marshall Islands,2.0,t +2943,91%,Fiji,6.0,f +49228,,Mexico,2.0,f +29220,50%,Costa Rica,1.0,t +31503,,Jersey,1.0,f +49228,,Mexico,2.0,f +37778,92%,Tonga,24.0,f +4799,100%,Mauritania,5.0,f +4799,100%,Mauritania,5.0,f +4799,100%,Mauritania,5.0,f +32231,100%,Chile,1.0,f +30286,100%,Montserrat,39.0,f +45088,100%,Reunion,9.0,f +5864,33%,Djibouti,1.0,t +29647,100%,Peru,1305.0,f +39641,,Togo,1.0,f +24718,90%,Nicaragua,2.0,f +12812,99%,Croatia,32.0,f +45088,100%,Reunion,9.0,f +36662,100%,Papua New Guinea,1.0,f +45088,100%,Reunion,9.0,f +33137,100%,El Salvador,9.0,f +15012,,Denmark,1.0,t +7766,100%,,1.0,t +27449,100%,Mexico,1.0,f +6288,,Croatia,1.0,f +2854,100%,Venezuela,1.0,f +37280,100%,Indonesia,4.0,t +76,96%,Togo,7.0,f +12812,99%,Croatia,32.0,f +20153,96%,Reunion,51.0,f +49959,88%,,1.0,t +21493,,Uzbekistan,6.0,f +15989,100%,Palestinian Territory,1.0,t +45227,100%,Uzbekistan,1.0,f +6745,100%,Gambia,2.0,f +30650,,,1.0,t +12812,99%,Croatia,32.0,f +15580,100%,,1.0,f +33817,100%,Gibraltar,62.0,f +34430,100%,Indonesia,3.0,f +12812,99%,Croatia,32.0,f +9771,100%,Bosnia and Herzegovina,7.0,t +12812,99%,Croatia,32.0,f +25169,,Grenada,1.0,f +17903,100%,,1.0,f +28703,100%,Uzbekistan,2.0,f +32909,100%,Faroe Islands,2.0,f +17938,100%,Montserrat,4.0,f +17991,100%,Kiribati,1.0,f +20461,,Russian Federation,1.0,f +4799,100%,Mauritania,5.0,f +21895,67%,,3.0,f +38019,100%,Afghanistan,10.0,f +8184,,Zimbabwe,2.0,f +13402,100%,Tanzania,1.0,f +40923,75%,,2.0,f +9498,100%,French Guiana,1.0,t +28828,100%,Isle of Man,198.0,t +32386,97%,Indonesia,19.0,f +42296,100%,Palestinian Territory,1.0,f +26526,94%,Tonga,8.0,f +2054,,Bouvet Island (Bouvetoya),1.0,f +16249,100%,Barbados,2.0,f +17329,,Turkmenistan,1.0,t +45353,100%,Uruguay,1.0,f +17674,100%,Pakistan,4.0,f +20430,,French Guiana,1.0,t +43314,100%,Micronesia,2.0,f +46063,100%,,1.0,f +1393,100%,Turks and Caicos Islands,2.0,f +25002,,China,12.0,f +21854,100%,Isle of Man,3.0,t +13181,86%,,1.0,f +41561,100%,Gambia,1.0,f +23756,,Netherlands,1.0,f +46049,100%,El Salvador,2.0,f +6618,100%,Philippines,2.0,f +9830,100%,Barbados,3.0,t +18121,100%,Bouvet Island (Bouvetoya),8.0,f +35799,,Netherlands,7.0,f +43320,,Poland,2.0,f +3112,94%,Indonesia,25.0,f +3112,94%,Indonesia,25.0,f +3112,94%,Indonesia,25.0,f +3112,94%,Indonesia,25.0,f +8059,100%,Bahrain,1.0,t +1974,,,1.0,t +6283,100%,Switzerland,3.0,f +44697,90%,,3.0,f +39139,80%,,2.0,f +20334,99%,Niger,171.0,t +10786,100%,Zimbabwe,2.0,f +32886,90%,Russian Federation,6.0,f +38335,79%,Guinea,11.0,f +38570,100%,Lithuania,2.0,f +33137,100%,El Salvador,9.0,f +46088,,Ghana,15.0,f +47437,100%,French Guiana,1.0,t +33137,100%,El Salvador,9.0,f +21240,94%,Niger,130.0,f +21240,94%,Niger,130.0,f +48070,71%,Tunisia,1.0,f +21240,94%,Niger,130.0,f +12066,,,1.0,f +15233,100%,Jersey,2.0,t +12137,99%,Sao Tome and Principe,33.0,t +21240,94%,Niger,130.0,f +29680,88%,Faroe Islands,2.0,f +44697,90%,,3.0,f +48117,98%,Ukraine,41.0,f +23146,100%,,6.0,f +1929,100%,Niue,7.0,t +26535,,Nicaragua,1.0,t +21240,94%,Niger,130.0,f +19547,100%,Andorra,1.0,f +21240,94%,Niger,130.0,f +5407,,Senegal,1.0,f +21240,94%,Niger,130.0,f +43834,99%,Uganda,13.0,f +44697,90%,,3.0,f +33137,100%,El Salvador,9.0,f +21240,94%,Niger,130.0,f +33137,100%,El Salvador,9.0,f +33137,100%,El Salvador,9.0,f +5243,100%,,1.0,f +21240,94%,Niger,130.0,f +16878,100%,Lithuania,1.0,f +36396,88%,Afghanistan,2.0,f +28142,100%,,1.0,f +21535,100%,Micronesia,3.0,f +25061,,Reunion,1.0,t +839,100%,,1.0,f +21240,94%,Niger,130.0,f +17347,100%,Jersey,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +15701,100%,Maldives,1.0,t +2919,100%,Cape Verde,2.0,f +45109,,Kiribati,2.0,f +20263,99%,Maldives,35.0,t +2907,100%,Pitcairn Islands,2.0,t +45171,100%,Kiribati,1.0,t +47274,100%,Tonga,48.0,f +3480,100%,United Kingdom,2.0,f +21535,100%,Micronesia,3.0,f +4990,100%,Isle of Man,1.0,f +13641,85%,Mauritania,23.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +8355,87%,Togo,16.0,f +17237,94%,,1.0,f +21535,100%,Micronesia,3.0,f +41789,,,2.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +29573,87%,Turkmenistan,1.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +12307,81%,Maldives,3.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +16939,,Senegal,11.0,t +9343,100%,Afghanistan,10.0,t +9380,100%,Malta,1.0,t +24026,98%,Cape Verde,69.0,t +37762,100%,,1.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +24026,98%,Cape Verde,69.0,t +6486,,Uzbekistan,1.0,f +9343,100%,Afghanistan,10.0,t +30286,100%,Montserrat,39.0,f +24026,98%,Cape Verde,69.0,t +44733,,,1.0,f +9343,100%,Afghanistan,10.0,t +29342,67%,Niue,1.0,t +45795,75%,Denmark,1.0,f +17033,81%,,2.0,f +44045,100%,Sao Tome and Principe,2.0,f +34604,96%,Kenya,18.0,f +11285,,,1.0,f +11344,100%,Nauru,1.0,f +44875,,Bosnia and Herzegovina,1.0,t +48238,,Venezuela,4.0,t +13179,77%,Marshall Islands,2.0,f +3613,100%,,1.0,f +2301,100%,,1.0,f +1136,100%,Papua New Guinea,1.0,f +48238,,Venezuela,4.0,t +20153,96%,Reunion,51.0,f +41910,100%,Slovakia (Slovak Republic),5.0,f +33709,100%,,2.0,f +46808,60%,Rwanda,3.0,f +39892,100%,Tonga,31.0,t +47516,100%,,1.0,f +42354,100%,Guinea,1.0,f +39892,100%,Tonga,31.0,t +30163,100%,,1.0,t +1498,,,2.0,f +13467,90%,Micronesia,1.0,f +33823,78%,France,17.0,t +39892,100%,Tonga,31.0,t +40381,100%,,1.0,f +39892,100%,Tonga,31.0,t +39892,100%,Tonga,31.0,t +26175,100%,Russian Federation,4.0,t +36731,100%,Nicaragua,7.0,f +39892,100%,Tonga,31.0,t +2714,100%,Bosnia and Herzegovina,8.0,f +26883,100%,Guernsey,2.0,t +25668,100%,Jersey,12.0,t +24312,100%,Uzbekistan,1.0,f +725,33%,Peru,2.0,f +37518,100%,Marshall Islands,1.0,f +31255,,,1.0,t +16467,,Denmark,2.0,f +10202,89%,Nicaragua,10.0,f +17973,94%,Ukraine,1.0,f +45109,,Kiribati,2.0,f +6168,,Bouvet Island (Bouvetoya),14.0,t +45087,100%,,3.0,f +35221,100%,Turks and Caicos Islands,30.0,t +19602,100%,Lithuania,24.0,f +28870,,Reunion,2.0,f +22921,100%,,1.0,f +20215,,Tonga,1.0,f +19602,100%,Lithuania,24.0,f +18484,100%,Gambia,108.0,f +41518,100%,Montserrat,13.0,t +38743,100%,Micronesia,1.0,f +41518,100%,Montserrat,13.0,t +41518,100%,Montserrat,13.0,t +9540,90%,Somalia,1.0,f +49345,,Tonga,1.0,f +19552,100%,,1.0,f +12369,90%,Russian Federation,2.0,f +38593,100%,Tonga,1.0,f +26067,60%,Reunion,1.0,f +19602,100%,Lithuania,24.0,f +28414,100%,Uzbekistan,22.0,f +48674,100%,Isle of Man,2.0,f +6434,100%,Nicaragua,2.0,f +9178,70%,French Guiana,2.0,f +24772,90%,Denmark,10.0,f +9741,99%,Cape Verde,8.0,f +28657,100%,Kiribati,1.0,f +41787,86%,Russian Federation,1.0,t +41484,89%,Anguilla,23.0,f +15496,50%,,1.0,t +45877,100%,Costa Rica,1.0,f +43875,,Nauru,1.0,f +45402,100%,,1.0,f +36127,100%,,16.0,f +36127,100%,,16.0,f +991,33%,Jersey,1.0,t +32723,100%,,1.0,f +47313,80%,Costa Rica,4.0,f +40391,100%,Malawi,1.0,t +37704,96%,Fiji,26.0,f +47242,100%,Chile,1.0,f +33137,100%,El Salvador,9.0,f +1310,83%,Barbados,5.0,f +18442,100%,Reunion,5.0,t +42370,100%,Marshall Islands,6.0,f +9741,99%,Cape Verde,8.0,f +42370,100%,Marshall Islands,6.0,f +2714,100%,Bosnia and Herzegovina,8.0,f +1610,100%,Niue,1.0,f +978,95%,Lithuania,29.0,f +19598,100%,,2.0,t +17321,,Sao Tome and Principe,1.0,f +45088,100%,Reunion,9.0,f +18242,,Bouvet Island (Bouvetoya),12.0,f +36916,0%,Uzbekistan,1.0,f +24128,54%,Suriname,9.0,t +43097,93%,Sao Tome and Principe,4.0,f +978,95%,Lithuania,29.0,f +37704,96%,Fiji,26.0,f +16703,100%,Uzbekistan,4.0,f +15610,,,1.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +21332,100%,Isle of Man,2.0,t +19126,92%,Niue,2.0,f +8771,100%,Barbados,1.0,f +37704,96%,Fiji,26.0,f +2748,100%,Nicaragua,2.0,f +31707,100%,Niger,48.0,f +14827,90%,,1.0,t +25802,100%,,1.0,f +26883,100%,Guernsey,2.0,t +31707,100%,Niger,48.0,f +43097,93%,Sao Tome and Principe,4.0,f +38364,100%,Vanuatu,1.0,f +43097,93%,Sao Tome and Principe,4.0,f +34543,100%,Mauritania,2.0,t +47353,94%,Niue,20.0,f +45831,100%,Niue,4.0,f +32266,83%,Tonga,2.0,f +10711,93%,Uganda,108.0,t +47353,94%,Niue,20.0,f +38907,100%,,3.0,t +11616,100%,Uzbekistan,12.0,t +29647,100%,Peru,1305.0,f +47311,,Micronesia,2.0,f +1529,100%,Denmark,1.0,f +40650,,,8.0,t +24718,90%,Nicaragua,2.0,f +8502,,Nicaragua,1.0,f +29647,100%,Peru,1305.0,f +48991,76%,Bosnia and Herzegovina,7.0,t +46395,100%,Niger,1.0,f +49135,100%,Vanuatu,1.0,f +29315,100%,Brazil,6.0,f +48475,100%,Lebanon,1.0,f +9962,100%,Ukraine,3.0,f +12685,95%,,3.0,t +743,,Suriname,1.0,t +36168,100%,,2.0,f +11666,73%,Tonga,5.0,t +49097,67%,Niger,5.0,t +28842,100%,Reunion,2.0,t +11027,,United Kingdom,1.0,f +15823,,,1.0,f +19107,,Zimbabwe,1.0,t +36832,83%,Micronesia,1.0,f +9286,60%,,2.0,f +38184,40%,Estonia,1.0,f +4316,100%,Micronesia,18.0,f +4316,100%,Micronesia,18.0,f +14218,100%,Uzbekistan,1.0,f +18206,100%,,3.0,f +43097,93%,Sao Tome and Principe,4.0,f +25132,100%,,2.0,f +29368,100%,Kiribati,4.0,f +25668,100%,Jersey,12.0,t +18206,100%,,3.0,f +26817,50%,Venezuela,1.0,f +18206,100%,,3.0,f +23310,100%,Malawi,1.0,t +9772,100%,Marshall Islands,3.0,t +8671,0%,Costa Rica,1.0,f +26262,100%,Russian Federation,1.0,f +22619,90%,Niue,4.0,f +10617,100%,United Kingdom,1.0,f +45271,,Isle of Man,1.0,f +35980,100%,,2.0,f +19989,100%,Cape Verde,2.0,f +43316,100%,Indonesia,23.0,f +45431,100%,,1.0,f +49833,100%,,1.0,f +28132,100%,Faroe Islands,1.0,f +43316,100%,Indonesia,23.0,f +38680,100%,Tonga,1.0,f +20475,100%,Pakistan,1.0,f +24655,100%,Turks and Caicos Islands,1.0,t +46728,100%,,1.0,f +17568,100%,,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +33886,,Gambia,9.0,t +19472,100%,United Kingdom,6.0,f +44948,100%,Chad,3.0,f +1835,100%,Ecuador,8.0,f +44997,100%,Saint Helena,5.0,f +29025,85%,Gabon,2.0,t +31458,100%,Lithuania,2.0,f +36372,,Wallis and Futuna,3.0,f +28847,,,3.0,f +28847,,,3.0,f +28847,,,3.0,f +27932,,China,1.0,f +21502,83%,,1.0,t +34604,96%,Kenya,18.0,f +626,100%,Micronesia,1.0,f +23988,,Niue,4.0,f +35696,,,3.0,t +34398,100%,,3.0,t +11913,100%,Gambia,5.0,f +30767,100%,,1.0,f +40294,100%,Barbados,6.0,f +9741,99%,Cape Verde,8.0,f +30737,88%,,1.0,f +24626,100%,Cocos (Keeling) Islands,3.0,f +40294,100%,Barbados,6.0,f +31233,100%,,1.0,f +1269,82%,China,2.0,t +23988,,Niue,4.0,f +45064,98%,Anguilla,15.0,f +13808,70%,,1.0,f +47993,100%,Malawi,1.0,t +4582,100%,Anguilla,1.0,f +46905,,Bouvet Island (Bouvetoya),1.0,f +37499,100%,French Guiana,4.0,t +37603,100%,Peru,1.0,f +30932,100%,Isle of Man,1.0,f +31466,100%,Uzbekistan,2.0,f +29009,100%,Denmark,1.0,f +41878,91%,Maldives,47.0,f +11364,90%,Senegal,1.0,f +16733,100%,Vanuatu,1.0,f +42215,,Bosnia and Herzegovina,5.0,f +24128,54%,Suriname,9.0,t +46372,100%,Northern Mariana Islands,7.0,t +29647,100%,Peru,1305.0,f +24734,100%,Russian Federation,1.0,f +42215,,Bosnia and Herzegovina,5.0,f +12113,100%,Reunion,2.0,f +6745,100%,Gambia,2.0,f +5202,,,2.0,f +32073,100%,Nicaragua,1.0,f +37215,100%,Indonesia,4.0,t +21225,,Guinea,1.0,f +40370,100%,Zimbabwe,3.0,f +46030,100%,Togo,4.0,f +40370,100%,Zimbabwe,3.0,f +21541,100%,,1.0,f +20842,,Lebanon,1.0,t +19782,,,6.0,f +3314,100%,Slovakia (Slovak Republic),10.0,f +44857,100%,Zimbabwe,24.0,t +10591,100%,Micronesia,2.0,f +37913,61%,,1.0,f +47689,,,2.0,f +36720,100%,Maldives,1.0,f +48284,,Micronesia,1.0,f +10591,100%,Micronesia,2.0,f +24033,100%,Uganda,45.0,f +24033,100%,Uganda,45.0,f +34590,100%,,1.0,f +44586,85%,Ukraine,13.0,f +36221,0%,Turks and Caicos Islands,1.0,f +5523,,Kiribati,1.0,f +36774,100%,Tonga,19.0,f +5886,94%,Fiji,25.0,t +25404,100%,,1.0,t +33793,100%,Russian Federation,2.0,f +44794,100%,,2.0,f +5420,100%,Tonga,41.0,f +12422,100%,Andorra,3.0,f +29081,98%,Uzbekistan,18.0,f +48117,98%,Ukraine,41.0,f +35109,,Chile,2.0,f +43316,100%,Indonesia,23.0,f +34452,100%,Reunion,1.0,t +14514,,China,80.0,t +2713,89%,Micronesia,3.0,f +45975,95%,,2.0,f +10058,100%,Nicaragua,1.0,f +21383,89%,Russian Federation,1.0,t +29806,,Ghana,1.0,f +6635,100%,Guinea,1.0,f +25113,100%,,1.0,t +4833,100%,Uzbekistan,2.0,f +20334,99%,Niger,171.0,t +23631,100%,Tonga,1.0,t +8184,,Zimbabwe,2.0,f +44331,100%,Andorra,2.0,f +14455,100%,,2.0,f +439,100%,Zimbabwe,1.0,t +39146,100%,Guinea,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +24688,83%,Barbados,7.0,f +18979,100%,Tonga,6.0,t +46088,,Ghana,15.0,f +23137,,,1.0,f +46088,,Ghana,15.0,f +551,95%,Rwanda,17.0,f +45088,100%,Reunion,9.0,f +14254,100%,Nicaragua,4.0,f +43886,100%,Estonia,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +34604,96%,Kenya,18.0,f +23228,100%,Slovakia (Slovak Republic),1.0,f +679,96%,Anguilla,4.0,f +19777,100%,French Guiana,1.0,f +24033,100%,Uganda,45.0,f +36363,82%,Marshall Islands,5.0,f +38484,100%,Senegal,2.0,f +11156,100%,El Salvador,2.0,f +5003,100%,Jersey,8.0,f +34627,100%,Tanzania,1.0,f +40793,100%,,75.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +30384,100%,Isle of Man,1.0,t +25768,100%,Faroe Islands,1.0,t +13128,67%,Chile,2.0,t +5503,100%,,1.0,f +236,100%,,1.0,f +40421,96%,Jersey,29.0,t +48072,100%,Kenya,1.0,t +40009,100%,Svalbard & Jan Mayen Islands,1.0,f +679,96%,Anguilla,4.0,f +47969,100%,Micronesia,1.0,t +47660,94%,,1.0,f +21582,100%,Turkmenistan,1.0,t +37553,100%,Russian Federation,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +18886,95%,Vietnam,3.0,t +6670,100%,Isle of Man,1.0,t +32856,100%,Isle of Man,1.0,f +3774,100%,Nicaragua,3.0,f +17758,80%,,1.0,f +45408,,Cocos (Keeling) Islands,1.0,f +47353,94%,Niue,20.0,f +38127,90%,,2.0,f +9516,99%,Pakistan,45.0,t +48115,100%,Gibraltar,1.0,f +1657,,Croatia,13.0,t +9516,99%,Pakistan,45.0,t +41042,80%,Chile,2.0,f +9516,99%,Pakistan,45.0,t +30082,,Reunion,1.0,f +11983,100%,Gibraltar,2.0,f +41042,80%,Chile,2.0,f +44244,100%,,1.0,f +41091,50%,Gambia,1.0,f +9516,99%,Pakistan,45.0,t +23674,100%,Slovakia (Slovak Republic),3.0,f +9516,99%,Pakistan,45.0,t +16831,,Ghana,1.0,f +28031,100%,Vanuatu,4.0,f +44027,,Uganda,2.0,f +14328,99%,Liechtenstein,21.0,t +38137,99%,Zimbabwe,16.0,f +33517,0%,,1.0,f +15620,95%,Marshall Islands,5.0,f +21830,,,1.0,f +37920,70%,,17.0,t +14254,100%,Nicaragua,4.0,f +11611,90%,Micronesia,3.0,f +15370,,El Salvador,1.0,f +356,99%,Wallis and Futuna,32.0,t +47615,100%,Puerto Rico,1.0,f +27520,100%,Philippines,2.0,t +12216,97%,Uzbekistan,4.0,f +19905,97%,Monaco,8.0,f +32813,70%,Gambia,1.0,t +23146,100%,,6.0,f +4124,,,2.0,f +24004,,,1.0,f +23146,100%,,6.0,f +40914,100%,Russian Federation,1.0,t +29701,98%,Vietnam,3.0,f +23146,100%,,6.0,f +38403,100%,France,1.0,f +37306,100%,Zimbabwe,1.0,f +50070,100%,Vanuatu,1.0,f +39351,100%,Guinea,1.0,f +43838,100%,,1.0,t +20465,100%,Gambia,1.0,f +36376,100%,,1.0,t +41892,100%,Zimbabwe,2.0,f +42878,100%,Greenland,1.0,f +11812,100%,Estonia,1.0,f +15500,,,2.0,f +37778,92%,Tonga,24.0,f +32380,,,1.0,f +14829,,Rwanda,1.0,f +32474,91%,Niue,2.0,f +19305,50%,Monaco,1.0,f +11880,100%,El Salvador,1.0,f +11754,90%,Cuba,2.0,f +43775,100%,,1.0,f +43659,98%,Maldives,14.0,f +14080,100%,,2.0,f +35594,94%,,8.0,f +42416,97%,Puerto Rico,20.0,f +7126,,,1.0,f +7078,100%,Fiji,1.0,f +43659,98%,Maldives,14.0,f +41332,100%,,4.0,f +42335,100%,Mauritania,1.0,f +5809,100%,,2.0,f +15453,100%,,1.0,f +47715,,Rwanda,2.0,f +18770,100%,Mexico,1.0,f +35329,100%,,1.0,f +3851,100%,,2.0,t +49129,0%,Indonesia,1.0,f +12166,100%,,1.0,t +49335,58%,United Kingdom,1.0,f +43959,100%,Tunisia,3.0,t +39161,,French Polynesia,1.0,f +41043,100%,Bosnia and Herzegovina,11.0,f +48222,100%,Sao Tome and Principe,1.0,f +28541,100%,Guernsey,1.0,f +37654,100%,Monaco,1.0,f +24789,100%,Sao Tome and Principe,6.0,f +27968,,Niue,2.0,f +24789,100%,Sao Tome and Principe,6.0,f +38224,100%,Kiribati,2.0,f +1513,,,3.0,f +4782,100%,,3.0,t +27968,,Niue,2.0,f +34703,100%,Pakistan,1.0,f +1513,,,3.0,f +28031,100%,Vanuatu,4.0,f +8949,100%,Isle of Man,4.0,f +28031,100%,Vanuatu,4.0,f +18061,95%,Marshall Islands,1.0,f +48112,100%,Croatia,1.0,t +26229,96%,Wallis and Futuna,1.0,f +15625,100%,Senegal,1.0,f +27160,,,1.0,f +13075,,,1.0,f +44427,100%,,3.0,f +42521,100%,Uzbekistan,3.0,f +44427,100%,,3.0,f +8690,100%,,1.0,f +14791,100%,Cocos (Keeling) Islands,3.0,t +40650,,,8.0,t +10120,100%,Lithuania,2.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +26870,80%,Sao Tome and Principe,2.0,t +8916,100%,,1.0,f +33200,,China,1.0,f +25871,,Lebanon,1.0,t +41851,100%,,3.0,t +35392,100%,Isle of Man,1.0,f +42890,100%,,1.0,f +28380,,Greenland,3.0,f +9572,,Micronesia,1.0,f +9188,100%,Niue,1.0,t +20165,94%,Ukraine,30.0,f +40676,100%,Jersey,2.0,f +4316,100%,Micronesia,18.0,f +35594,94%,,8.0,f +35594,94%,,8.0,f +35594,94%,,8.0,f +35594,94%,,8.0,f +1679,100%,France,2.0,t +37043,100%,Pakistan,11.0,f +33765,,,2.0,f +17375,94%,Kiribati,1.0,f +32428,100%,Russian Federation,4.0,t +45022,100%,China,1.0,f +19834,100%,Gambia,2.0,f +3607,50%,Faroe Islands,1.0,f +44934,100%,Philippines,17.0,f +41975,100%,,1.0,f +2721,100%,,1.0,t +7327,100%,Isle of Man,1.0,f +32755,,Afghanistan,1.0,f +4059,100%,,2.0,t +16780,,,1.0,f +2479,100%,Isle of Man,1.0,f +48121,100%,,1.0,t +2601,,,4.0,f +39226,100%,Brazil,1.0,f +47778,100%,Cocos (Keeling) Islands,1.0,f +19563,44%,Guinea,1.0,f +21238,100%,,1.0,f +49088,100%,Nauru,1.0,t +4436,,Russian Federation,1.0,f +10114,100%,Guinea,1.0,t +42466,100%,Wallis and Futuna,1.0,t +32399,100%,Somalia,1.0,t +20020,100%,Sao Tome and Principe,2.0,t +12137,99%,Sao Tome and Principe,33.0,t +35234,100%,,1.0,f +910,100%,,1.0,f +20101,100%,United Kingdom,1.0,t +1639,100%,Isle of Man,1.0,f +43486,100%,Niue,1.0,f +43867,100%,Gibraltar,1.0,f +864,23%,Nicaragua,2.0,f +5240,,,2.0,f +24137,100%,,1.0,f +29647,100%,Peru,1305.0,f +1138,100%,Micronesia,1.0,f +18942,100%,Congo,1.0,t +48585,100%,Kiribati,8.0,f +48900,,Micronesia,2.0,f +34057,100%,Lebanon,1.0,f +31343,100%,Sao Tome and Principe,3.0,f +28698,100%,,1.0,f +48585,100%,Kiribati,8.0,f +14693,100%,Vanuatu,1.0,f +8409,98%,Maldives,9.0,f +37754,93%,,1.0,t +24370,90%,Zimbabwe,3.0,f +20835,100%,Gibraltar,3.0,f +40794,56%,,1.0,t +35237,100%,Denmark,2.0,f +35045,,Russian Federation,1.0,f +47589,100%,Micronesia,1.0,f +46979,100%,,1.0,f +28851,100%,Guinea,4.0,t +21245,,Faroe Islands,1.0,f +11004,,Indonesia,1.0,f +9695,,,1.0,f +31726,100%,,1.0,f +26051,,Niue,7.0,f +22416,100%,Brazil,3.0,f +42872,100%,Papua New Guinea,1.0,f +43032,100%,Malta,1.0,t +24091,,Togo,1.0,f +7250,100%,Ecuador,6.0,f +31837,100%,Niue,2.0,t +23123,100%,,1.0,f +3999,100%,Pakistan,1.0,f +43415,100%,Gambia,1.0,f +33139,100%,,1.0,f +36049,,Isle of Man,3.0,f +11062,100%,Philippines,1.0,f +14476,100%,Kiribati,6.0,f +10351,98%,El Salvador,15.0,f +24428,100%,Russian Federation,1.0,f +45848,,Gambia,2.0,f +29447,100%,Faroe Islands,1.0,t +13913,100%,Sao Tome and Principe,1.0,f +34221,100%,Puerto Rico,2.0,t +40932,96%,Zimbabwe,3.0,f +41719,100%,Cape Verde,4.0,f +42573,,Reunion,2.0,t +45848,,Gambia,2.0,f +11310,100%,Congo,4.0,t +14239,100%,Monaco,1.0,f +43009,,,1.0,f +9712,,,1.0,t +16554,,Maldives,3.0,t +20647,100%,,1.0,f +33152,100%,Kiribati,1.0,f +21858,100%,Cuba,2.0,f +29722,100%,Bouvet Island (Bouvetoya),2.0,f +35433,,Gambia,1.0,t +29773,100%,Malawi,1.0,f +32120,100%,Venezuela,1.0,f +48083,100%,,1.0,f +978,95%,Lithuania,29.0,f +23420,100%,Nauru,2.0,f +20334,99%,Niger,171.0,t +37559,100%,Sao Tome and Principe,1.0,f +43571,,,2.0,t +17619,74%,Ghana,14.0,f +30334,,,1.0,f +38282,,Tonga,5.0,f +3314,100%,Slovakia (Slovak Republic),10.0,f +39565,93%,Rwanda,12.0,f +34124,100%,Vanuatu,1.0,f +21938,0%,Lithuania,1.0,f +34190,100%,Barbados,6.0,f +38579,,,1.0,f +20721,,Wallis and Futuna,1.0,f +4131,100%,,1.0,f +39565,93%,Rwanda,12.0,f +9723,100%,Rwanda,3.0,t +44805,,Portugal,2.0,f +36369,93%,,1.0,f +42649,,Kenya,1.0,f +50054,100%,Puerto Rico,1.0,f +45050,100%,Monaco,1.0,t +28317,100%,Somalia,1.0,f +41719,100%,Cape Verde,4.0,f +45254,,Papua New Guinea,1.0,f +11521,100%,Tonga,1.0,f +12761,90%,Anguilla,1.0,t +32719,100%,Nicaragua,2.0,f +36086,100%,Sao Tome and Principe,4.0,t +29859,93%,Guinea,4.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +8852,,,1.0,t +28990,100%,,1.0,f +35442,,Russian Federation,14.0,f +26986,100%,Jersey,20.0,f +28380,,Greenland,3.0,f +41189,100%,Mauritania,4.0,t +38523,,Tonga,2.0,f +24896,100%,Algeria,50.0,t +22253,100%,Bosnia and Herzegovina,1.0,f +18320,50%,Reunion,19.0,t +28157,100%,Turkmenistan,1.0,f +35167,100%,Korea,2.0,t +16980,,Chile,2.0,f +32705,100%,Turkmenistan,3.0,f +28380,,Greenland,3.0,f +45176,,Vanuatu,3.0,f +21452,99%,Lebanon,29.0,f +45306,89%,Rwanda,7.0,t +43834,99%,Uganda,13.0,f +12256,100%,Nicaragua,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +46822,98%,,12.0,f +15711,,China,1.0,f +46632,,Bosnia and Herzegovina,1.0,t +18320,50%,Reunion,19.0,t +3732,100%,Russian Federation,1.0,f +45120,,,1.0,f +43550,100%,Rwanda,16.0,t +17573,100%,Jersey,1.0,t +8669,85%,Denmark,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +733,100%,,1.0,f +229,100%,Faroe Islands,1.0,f +7834,94%,Mexico,13.0,f +15885,100%,,1.0,f +50023,93%,Russian Federation,1.0,f +14514,,China,80.0,t +601,,Cocos (Keeling) Islands,2.0,f +13070,100%,Fiji,45.0,f +36761,100%,Tonga,1.0,f +29423,100%,Niue,3.0,f +7421,,,1.0,t +14070,100%,,2.0,f +38107,,Bouvet Island (Bouvetoya),1.0,f +32389,75%,,5.0,f +213,96%,Guinea,1.0,f +28772,100%,Niger,15.0,t +5554,100%,,1.0,t +13070,100%,Fiji,45.0,f +29072,50%,Chile,1.0,f +28577,100%,,1.0,t +13070,100%,Fiji,45.0,f +12541,100%,Gibraltar,2.0,t +46265,,Tonga,1.0,f +19655,100%,Tonga,13.0,t +21168,100%,Mauritania,1.0,f +39972,100%,Niue,1.0,f +23203,100%,Uzbekistan,1.0,f +5080,29%,Nicaragua,1.0,f +48573,89%,Wallis and Futuna,1.0,f +22999,100%,Kiribati,1.0,f +21837,100%,Malawi,1.0,f +22953,100%,,3.0,f +49435,100%,Marshall Islands,6.0,t +16425,,Guinea,1.0,f +26378,,Cape Verde,5.0,f +21509,100%,,1.0,t +40697,93%,,2.0,f +49425,,Isle of Man,1.0,f +25301,100%,,2.0,f +41477,,,1.0,t +28418,100%,Vietnam,1.0,f +18884,100%,Tonga,1.0,t +43005,100%,Senegal,3.0,f +24746,100%,Pakistan,1.0,f +47027,88%,,1.0,f +28891,100%,Tanzania,2.0,f +3957,80%,Niue,1.0,f +48384,100%,Mauritania,1.0,f +27919,100%,Faroe Islands,4.0,f +11974,100%,Turkmenistan,4.0,t +39224,,Guinea,2.0,f +28733,86%,,1.0,f +15245,100%,,11.0,f +8521,67%,,1.0,f +42025,100%,France,1.0,f +29094,100%,,1.0,t +27919,100%,Faroe Islands,4.0,f +2802,93%,Togo,3.0,t +9597,100%,Nauru,1.0,f +7593,100%,Senegal,2.0,f +40565,92%,Tonga,1.0,f +31707,100%,Niger,48.0,f +2184,,Isle of Man,1.0,f +41518,100%,Montserrat,13.0,t +44169,97%,Portugal,39.0,f +679,96%,Anguilla,4.0,f +49354,88%,Philippines,3.0,f +41518,100%,Montserrat,13.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +13839,100%,Niue,1.0,f +20578,,Micronesia,2.0,f +34852,,Niue,10.0,t +41518,100%,Montserrat,13.0,t +23166,50%,Faroe Islands,1.0,t +13070,100%,Fiji,45.0,f +26343,100%,,1.0,f +5848,80%,Canada,2.0,f +11968,100%,,3.0,f +34763,100%,Russian Federation,4.0,f +4206,100%,Sao Tome and Principe,2.0,f +5848,80%,Canada,2.0,f +23034,99%,Monaco,54.0,f +39711,100%,Estonia,1.0,f +46418,100%,Kenya,1.0,f +42869,,El Salvador,9.0,f +27663,100%,Kenya,1.0,f +9591,75%,,1.0,f +12026,,Chad,2.0,t +27620,100%,Gambia,1.0,f +10521,100%,Egypt,3.0,t +37768,,,1.0,f +15844,95%,Tonga,2.0,f +39565,93%,Rwanda,12.0,f +49084,,,1.0,f +39565,93%,Rwanda,12.0,f +24071,100%,Indonesia,22.0,f +39616,100%,Costa Rica,13.0,f +7995,86%,Russian Federation,1.0,t +39855,100%,,1.0,f +10484,100%,Guinea,12.0,t +15742,97%,,1.0,f +36127,100%,,16.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +20727,100%,Russian Federation,4.0,t +6495,89%,Tonga,34.0,f +20985,100%,,1.0,f +10948,100%,Denmark,3.0,f +34604,96%,Kenya,18.0,f +1871,,Ghana,1.0,f +10365,100%,Andorra,1.0,t +50090,100%,Guinea,1.0,f +6495,89%,Tonga,34.0,f +22670,93%,Philippines,4.0,f +15642,,Brazil,3.0,f +16079,100%,Sao Tome and Principe,1.0,f +6164,100%,Lebanon,1.0,f +7715,100%,Montserrat,3.0,f +47274,100%,Tonga,48.0,f +6495,89%,Tonga,34.0,f +8669,85%,Denmark,2.0,f +7504,,Anguilla,1.0,f +36616,100%,Guinea,2.0,f +39789,80%,Svalbard & Jan Mayen Islands,1.0,t +12886,100%,Marshall Islands,2.0,f +5071,0%,Brazil,1.0,f +11255,93%,Suriname,41.0,f +22331,99%,Rwanda,50.0,t +28414,100%,Uzbekistan,22.0,f +13641,85%,Mauritania,23.0,f +14535,88%,Montserrat,18.0,f +44009,,,3.0,f +41853,100%,Denmark,1.0,f +8983,100%,Anguilla,7.0,f +4257,80%,Mauritania,1.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +3274,86%,Barbados,24.0,f +36499,75%,Anguilla,25.0,t +11125,100%,Nicaragua,12.0,t +40233,90%,Estonia,1.0,t +21686,69%,,1.0,f +17294,,,1.0,f +29232,100%,Nicaragua,9.0,f +15844,95%,Tonga,2.0,f +38406,96%,Russian Federation,6.0,t +19259,,,3.0,f +4322,97%,Tonga,32.0,f +29232,100%,Nicaragua,9.0,f +10686,86%,Tonga,21.0,f +49976,100%,Turkmenistan,1.0,f +17411,100%,,1.0,t +7462,100%,Sao Tome and Principe,2.0,f +48728,,Netherlands,1.0,f +16117,,French Polynesia,1.0,f +32279,100%,Ghana,2.0,t +38930,,Russian Federation,1.0,f +11704,100%,Niue,1.0,f +6698,91%,Jersey,1.0,f +4322,97%,Tonga,32.0,f +4183,100%,,1.0,f +17535,100%,,1.0,t +39637,100%,Niue,1.0,f +22167,100%,Nauru,1.0,f +18263,100%,Kenya,1.0,f +16163,100%,France,2.0,f +7250,100%,Ecuador,6.0,f +47254,50%,,2.0,t +33668,100%,Marshall Islands,2.0,t +4607,25%,Bahrain,1.0,f +25449,100%,Gibraltar,1.0,f +15856,100%,Reunion,2.0,f +31979,100%,Kenya,10.0,f +6736,100%,El Salvador,1.0,f +7250,100%,Ecuador,6.0,f +3468,100%,Nicaragua,1.0,f +21987,,,1.0,f +32377,,,1.0,f +13415,86%,,1.0,t +35166,100%,Denmark,1.0,f +431,67%,,2.0,f +22044,100%,,2.0,t +10351,98%,El Salvador,15.0,f +5058,100%,Uzbekistan,4.0,f +21325,100%,,1.0,f +2713,89%,Micronesia,3.0,f +5058,100%,Uzbekistan,4.0,f +42012,100%,Monaco,3.0,t +47205,100%,,4.0,f +24026,98%,Cape Verde,69.0,t +24026,98%,Cape Verde,69.0,t +48291,,Bosnia and Herzegovina,2.0,f +7616,83%,Sao Tome and Principe,1.0,f +9802,,Indonesia,38.0,t +21746,86%,,2.0,t +5633,100%,Lebanon,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +5406,100%,Gambia,3.0,f +39331,100%,,1.0,f +40140,90%,Marshall Islands,3.0,f +6690,92%,,1.0,f +1657,,Croatia,13.0,t +18362,100%,Uganda,5.0,f +28292,73%,Lebanon,2.0,f +49542,100%,Turkmenistan,2.0,f +8355,87%,Togo,16.0,f +6253,,,1.0,t +1709,100%,Tonga,2.0,f +16674,100%,,1.0,f +39096,,Slovakia (Slovak Republic),1.0,f +32886,90%,Russian Federation,6.0,f +2481,,Guinea,1.0,f +37619,100%,Isle of Man,2.0,t +18077,100%,Sao Tome and Principe,139.0,f +8723,100%,,1.0,t +19645,,Maldives,1.0,f +2375,,Tonga,1.0,f +10182,100%,,2.0,f +17166,,French Guiana,1.0,f +40225,100%,Uganda,3.0,t +2906,,Marshall Islands,1.0,t +15847,,Uganda,13.0,f +43152,100%,Nicaragua,82.0,t +3565,,El Salvador,1.0,f +11255,93%,Suriname,41.0,f +13834,,Kiribati,9.0,f +30675,67%,Guinea,3.0,f +41484,89%,Anguilla,23.0,f +20395,,Anguilla,1.0,f +43116,100%,Montserrat,1.0,f +9421,100%,,5.0,f +48983,100%,Sao Tome and Principe,2.0,f +37098,0%,French Polynesia,1.0,f +26986,100%,Jersey,20.0,f +33440,88%,Isle of Man,3.0,f +22526,100%,,2.0,t +35806,,Niue,3.0,f +27671,100%,Turkmenistan,1.0,f +7368,100%,Russian Federation,2.0,t +43999,100%,Niue,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +5670,100%,Vietnam,1.0,f +47274,100%,Tonga,48.0,f +12762,100%,United Kingdom,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +25585,100%,Venezuela,2.0,t +47117,100%,Niue,1.0,t +11637,,Sao Tome and Principe,1.0,f +29457,100%,Guinea,3.0,f +29769,100%,Croatia,1.0,t +9363,95%,Ukraine,50.0,f +1776,,Sao Tome and Principe,1.0,t +12988,98%,Pakistan,5.0,f +9419,70%,Brazil,2.0,f +38114,94%,Uzbekistan,19.0,f +679,96%,Anguilla,4.0,f +32667,93%,Montserrat,1.0,f +18000,100%,Slovakia (Slovak Republic),7.0,t +35594,94%,,8.0,f +35594,94%,,8.0,f +48303,100%,France,2.0,f +21205,100%,,1.0,t +47335,78%,Guernsey,15.0,f +40294,100%,Barbados,6.0,f +35311,64%,Isle of Man,1.0,f +7603,100%,Nicaragua,1.0,f +25557,100%,Reunion,2.0,t +24161,95%,,2.0,f +23391,100%,,1.0,t +5008,100%,Guinea,2.0,f +40557,100%,Kenya,2.0,f +18323,100%,,3.0,t +15533,100%,,1.0,t +3921,98%,,14.0,f +17036,81%,Reunion,6.0,f +15902,100%,San Marino,1.0,f +26886,,Uzbekistan,1.0,f +33454,100%,Tonga,7.0,f +28104,100%,Maldives,1.0,f +5437,98%,Reunion,4.0,f +46079,87%,,1.0,f +5319,100%,Kiribati,2.0,f +8888,92%,Ukraine,2.0,f +49565,92%,Uganda,14.0,f +42101,100%,,2.0,f +30935,,France,1.0,f +24643,100%,,1.0,f +40934,100%,Brazil,3.0,f +7953,,,9.0,f +7953,,,9.0,f +7953,,,9.0,f +7953,,,9.0,f +7953,,,9.0,f +7953,,,9.0,f +7953,,,9.0,f +7953,,,9.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +228,67%,,2.0,t +34471,86%,French Guiana,1.0,f +43316,100%,Indonesia,23.0,f +40934,100%,Brazil,3.0,f +6283,100%,Switzerland,3.0,f +11596,100%,Anguilla,2.0,f +8516,,,1.0,f +44990,100%,Marshall Islands,1.0,f +41910,100%,Slovakia (Slovak Republic),5.0,f +13217,100%,,1.0,f +17498,100%,Lithuania,1.0,t +45496,40%,Niue,6.0,f +43321,100%,France,40.0,f +39170,,Malta,1.0,f +13086,100%,,1.0,f +4217,,Kenya,52.0,f +18354,100%,Gibraltar,1.0,t +38960,100%,,1.0,f +41783,67%,Malta,2.0,t +42494,100%,Mauritania,2.0,f +33263,,Cocos (Keeling) Islands,2.0,f +29813,100%,Holy See (Vatican City State),1.0,f +23729,100%,,1.0,f +6548,100%,Russian Federation,1.0,f +32658,85%,Saint Helena,1.0,f +33455,100%,,1.0,f +4217,,Kenya,52.0,f +6838,96%,Spain,59.0,t +37243,100%,Tunisia,1.0,f +3406,91%,Monaco,6.0,t +7206,100%,Russian Federation,1.0,t +43321,100%,France,40.0,f +43321,100%,France,40.0,f +45553,90%,Brazil,16.0,t +37608,100%,,1.0,f +43152,100%,Nicaragua,82.0,t +42935,100%,,1.0,f +16507,100%,Nauru,1.0,f +40697,93%,,2.0,f +3406,91%,Monaco,6.0,t +31853,,Montserrat,1.0,f +34587,,Isle of Man,22.0,t +43659,98%,Maldives,14.0,f +48641,100%,Anguilla,1.0,f +30216,98%,Maldives,34.0,f +29138,88%,Kiribati,2.0,f +48029,100%,Malta,2.0,f +2601,,,4.0,f +42615,100%,Kenya,3.0,f +13364,91%,Netherlands,21.0,f +11396,100%,Micronesia,1.0,f +22305,,Kiribati,3.0,f +40168,100%,,1.0,f +13731,100%,France,1.0,t +1503,50%,Montserrat,2.0,f +23437,100%,Niger,1.0,f +1503,50%,Montserrat,2.0,f +25420,100%,French Guiana,1.0,f +21452,99%,Lebanon,29.0,f +7198,100%,Isle of Man,4.0,f +28833,100%,Venezuela,5.0,f +18000,100%,Slovakia (Slovak Republic),7.0,t +43590,100%,Costa Rica,9.0,f +44049,100%,,2.0,f +31274,98%,Cuba,7.0,f +43590,100%,Costa Rica,9.0,f +3859,100%,Gibraltar,1.0,f +43590,100%,Costa Rica,9.0,f +6564,,Uganda,9.0,f +18323,100%,,3.0,t +43590,100%,Costa Rica,9.0,f +43590,100%,Costa Rica,9.0,f +48133,,Isle of Man,45.0,f +38889,100%,,1.0,f +33440,88%,Isle of Man,3.0,f +19214,100%,Senegal,55.0,f +3331,100%,Isle of Man,1.0,f +23430,100%,Reunion,16.0,f +43008,98%,Costa Rica,5.0,f +47380,100%,Russian Federation,4.0,f +22044,100%,,2.0,t +19214,100%,Senegal,55.0,f +21625,,Nauru,1.0,f +26107,100%,Niue,3.0,f +37423,100%,Estonia,2.0,f +40650,,,8.0,t +20040,100%,,1.0,f +22928,,Marshall Islands,1.0,f +26700,,Niue,6.0,f +6190,,Chad,1.0,f +48846,100%,,1.0,f +43889,100%,Lebanon,2.0,f +44329,100%,Estonia,2.0,f +27948,100%,Niue,4.0,f +44857,100%,Zimbabwe,24.0,t +26285,94%,Senegal,9.0,f +42921,100%,Chile,3.0,f +22319,100%,Tanzania,2.0,f +46796,100%,,3.0,f +1489,100%,Marshall Islands,1.0,t +24020,77%,Tonga,6.0,t +13200,,China,2.0,f +27128,,Lebanon,1.0,f +26285,94%,Senegal,9.0,f +46796,100%,,3.0,f +42893,100%,,1.0,f +1657,,Croatia,13.0,t +36634,100%,Uganda,4.0,f +8267,100%,Vietnam,1.0,f +42965,100%,Uzbekistan,11.0,t +33106,100%,Nicaragua,1.0,t +28372,100%,Indonesia,12.0,f +46794,100%,,2.0,f +43148,100%,Slovakia (Slovak Republic),1.0,f +44518,,Micronesia,1.0,f +18302,100%,Sao Tome and Principe,1.0,f +49123,100%,Pakistan,1.0,f +3019,100%,Barbados,18.0,f +44173,100%,Greenland,2.0,t +2371,,,1.0,f +32391,,Slovakia (Slovak Republic),1.0,t +26285,94%,Senegal,9.0,f +11520,100%,Niue,1.0,f +14155,,Maldives,1.0,f +31785,,Guinea,1.0,t +33668,100%,Marshall Islands,2.0,t +27123,100%,Chad,1.0,t +32775,100%,,1.0,f +28080,100%,,1.0,f +23276,100%,Brazil,4.0,f +34868,100%,,3.0,f +46259,76%,Kiribati,3.0,f +30590,,Micronesia,1.0,f +5057,100%,Zimbabwe,23.0,t +20956,43%,Rwanda,8.0,f +10446,100%,Gibraltar,1.0,f +1108,100%,Lebanon,5.0,f +1108,100%,Lebanon,5.0,f +49933,,Reunion,6.0,f +18437,80%,Kiribati,1.0,f +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +32790,100%,,2.0,f +48991,76%,Bosnia and Herzegovina,7.0,t +23430,100%,Reunion,16.0,f +1108,100%,Lebanon,5.0,f +34430,100%,Indonesia,3.0,f +21452,99%,Lebanon,29.0,f +22401,100%,Faroe Islands,2.0,f +26378,,Cape Verde,5.0,f +485,80%,French Guiana,2.0,f +1361,100%,,2.0,f +32507,100%,,1.0,f +20578,,Micronesia,2.0,f +38627,100%,Rwanda,2.0,f +15189,79%,China,21.0,f +14400,100%,Lebanon,1.0,f +46259,76%,Kiribati,3.0,f +8553,100%,,1.0,f +43321,100%,France,40.0,f +14476,100%,Kiribati,6.0,f +4427,,Gambia,1.0,f +551,95%,Rwanda,17.0,f +24831,,,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +8355,87%,Togo,16.0,f +40793,100%,,75.0,t +34098,100%,,1.0,f +46803,,,1.0,f +12715,100%,Estonia,29.0,f +26851,100%,Nicaragua,1.0,f +40112,100%,Cape Verde,1.0,f +12307,81%,Maldives,3.0,f +40339,97%,Marshall Islands,2.0,t +26700,,Niue,6.0,f +25231,100%,Guinea,1.0,t +29035,,Nicaragua,2.0,f +26986,100%,Jersey,20.0,f +12307,81%,Maldives,3.0,f +20727,100%,Russian Federation,4.0,t +47455,100%,Chile,1.0,f +26986,100%,Jersey,20.0,f +26986,100%,Jersey,20.0,f +26986,100%,Jersey,20.0,f +551,95%,Rwanda,17.0,f +26986,100%,Jersey,20.0,f +32536,100%,Tonga,1.0,f +26986,100%,Jersey,20.0,f +46407,71%,Rwanda,3.0,f +17605,100%,Svalbard & Jan Mayen Islands,1.0,f +26986,100%,Jersey,20.0,f +16489,100%,Russian Federation,42.0,t +4936,91%,Philippines,27.0,f +26986,100%,Jersey,20.0,f +29200,100%,Tunisia,1.0,f +3299,,Bouvet Island (Bouvetoya),1.0,f +551,95%,Rwanda,17.0,f +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +4217,,Kenya,52.0,f +41510,100%,Gambia,1.0,f +12715,100%,Estonia,29.0,f +21978,94%,Papua New Guinea,2.0,t +12344,100%,,1.0,f +4446,100%,Uganda,58.0,f +9516,99%,Pakistan,45.0,t +3274,86%,Barbados,24.0,f +49490,100%,Russian Federation,1.0,t +25102,100%,Isle of Man,1.0,t +4057,100%,Rwanda,16.0,f +20533,67%,Puerto Rico,1.0,f +26928,100%,,4.0,f +23831,100%,Lebanon,2.0,f +2122,100%,Faroe Islands,1.0,t +23831,100%,Lebanon,2.0,f +9363,95%,Ukraine,50.0,f +17036,81%,Reunion,6.0,f +17036,81%,Reunion,6.0,f +19230,,Uzbekistan,3.0,f +7250,100%,Ecuador,6.0,f +15745,90%,Isle of Man,2.0,t +28613,100%,Senegal,1.0,f +38430,,Somalia,1.0,f +45064,98%,Anguilla,15.0,f +4057,100%,Rwanda,16.0,f +4057,100%,Rwanda,16.0,f +4057,100%,Rwanda,16.0,f +5277,100%,Vietnam,10.0,f +25411,33%,Marshall Islands,1.0,f +45737,,Tonga,29.0,t +31947,99%,Jersey,38.0,f +19786,0%,,1.0,t +4613,78%,,1.0,f +41259,,Monaco,1.0,t +47973,,Ghana,5.0,f +3112,94%,Indonesia,25.0,f +3760,,,1.0,t +8908,100%,,2.0,f +1683,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +6663,95%,Gambia,5.0,f +45403,90%,Venezuela,3.0,f +19598,100%,,2.0,t +44701,,Chad,1.0,t +21380,,Brunei Darussalam,2.0,f +30435,99%,Cape Verde,41.0,f +25046,100%,Maldives,14.0,f +25506,,Chile,1.0,f +20263,99%,Maldives,35.0,t +28390,100%,,1.0,f +44734,,Bosnia and Herzegovina,1.0,f +15938,90%,,2.0,f +16498,100%,,1.0,f +26986,100%,Jersey,20.0,f +29809,100%,,3.0,f +42486,75%,Monaco,1.0,f +35016,93%,Russian Federation,2.0,f +5922,100%,Kenya,1.0,f +38036,100%,Switzerland,1.0,f +48342,100%,Russian Federation,1.0,f +2459,,Nauru,2.0,f +26986,100%,Jersey,20.0,f +26212,,,1.0,f +5430,,Gambia,1.0,t +37691,100%,Papua New Guinea,1.0,t +39792,100%,,3.0,f +16818,98%,Nicaragua,5.0,t +47226,,,1.0,f +39792,100%,,3.0,f +1657,,Croatia,13.0,t +45707,87%,Philippines,1.0,f +49255,,,1.0,f +28923,100%,Russian Federation,1.0,t +46822,98%,,12.0,f +37714,100%,Zimbabwe,3.0,f +48560,100%,Barbados,3.0,f +47079,,,1.0,t +7974,100%,,1.0,f +20321,100%,Monaco,1.0,f +39690,,,1.0,t +33663,,,2.0,f +4936,91%,Philippines,27.0,f +37656,,Kiribati,1.0,f +35016,93%,Russian Federation,2.0,f +4936,91%,Philippines,27.0,f +4936,91%,Philippines,27.0,f +4936,91%,Philippines,27.0,f +4936,91%,Philippines,27.0,f +40252,,,1.0,f +4936,91%,Philippines,27.0,f +46184,100%,Tonga,1.0,f +37575,,,1.0,f +19958,100%,Congo,40.0,t +39664,,,2.0,f +14422,,Zimbabwe,1.0,f +25517,,Uzbekistan,1.0,f +4076,50%,Uganda,1.0,t +22632,100%,Togo,1.0,f +4936,91%,Philippines,27.0,f +25149,,Nauru,1.0,f +30435,99%,Cape Verde,41.0,f +4936,91%,Philippines,27.0,f +38546,100%,Cuba,7.0,f +4446,100%,Uganda,58.0,f +37527,100%,Zimbabwe,2.0,f +35584,100%,Lebanon,1.0,f +4936,91%,Philippines,27.0,f +12687,100%,French Guiana,1.0,t +44496,100%,Estonia,1.0,f +4936,91%,Philippines,27.0,f +4446,100%,Uganda,58.0,f +15918,100%,,1.0,f +6564,,Uganda,9.0,f +15170,100%,Guinea,1.0,f +6564,,Uganda,9.0,f +9881,100%,Micronesia,2.0,t +35999,100%,Mauritania,3.0,t +18532,100%,,1.0,f +4936,91%,Philippines,27.0,f +4936,91%,Philippines,27.0,f +49458,,,1.0,f +3244,100%,,1.0,t +47954,97%,Uzbekistan,3.0,f +5318,100%,Maldives,1.0,f +20010,100%,Micronesia,1.0,t +41384,100%,French Polynesia,1.0,t +27882,,France,1.0,f +47894,100%,Turks and Caicos Islands,3.0,f +3019,100%,Barbados,18.0,f +8422,,Vanuatu,1.0,f +6812,100%,Uzbekistan,1.0,t +1642,100%,Marshall Islands,17.0,f +46242,94%,Tanzania,1.0,t +45851,,,1.0,f +3012,,,1.0,f +24578,100%,Jersey,1.0,t +43540,72%,Bosnia and Herzegovina,25.0,f +2508,67%,Marshall Islands,1.0,f +31550,0%,,1.0,f +17677,100%,Micronesia,1.0,f +29528,,Kenya,1.0,f +22949,100%,,1.0,f +36494,,Niger,1.0,f +41012,100%,France,1.0,f +41349,100%,Jersey,1.0,f +48939,100%,Russian Federation,1.0,f +24382,100%,Guinea,1.0,f +39469,100%,Micronesia,11.0,t +28071,100%,Cape Verde,4.0,t +19958,100%,Congo,40.0,t +13407,100%,Lithuania,1.0,f +36637,,China,11.0,f +29056,,,2.0,f +31873,99%,Uzbekistan,22.0,f +35855,,Sao Tome and Principe,3.0,f +10948,100%,Denmark,3.0,f +41604,100%,Tonga,4.0,f +35210,,China,1.0,t +13742,90%,El Salvador,5.0,t +25034,100%,Nicaragua,2.0,f +36106,100%,Holy See (Vatican City State),1.0,t +44790,100%,Guinea,1.0,f +46842,75%,Portugal,13.0,t +45488,,Monaco,1.0,f +30794,100%,Barbados,5.0,t +13807,100%,,2.0,f +10398,67%,Afghanistan,1.0,t +33263,,Cocos (Keeling) Islands,2.0,f +40267,100%,Uzbekistan,2.0,t +12958,20%,Malawi,1.0,t +12110,100%,Tanzania,1.0,t +49897,100%,Uzbekistan,1.0,f +7113,,Malawi,1.0,f +30104,,,1.0,f +48275,100%,Nicaragua,1.0,f +26871,100%,,1.0,t +20734,95%,Ecuador,2.0,f +32089,100%,Cuba,1.0,f +13573,100%,Gibraltar,4.0,t +35559,100%,Svalbard & Jan Mayen Islands,1.0,f +45579,100%,Togo,1.0,f +19230,,Uzbekistan,3.0,f +33926,100%,Uzbekistan,1.0,f +4551,,Christmas Island,1.0,f +19230,,Uzbekistan,3.0,f +28754,100%,Lebanon,1.0,f +26922,100%,,1.0,f +36646,76%,,2.0,f +3287,100%,,1.0,f +13904,,,1.0,f +43473,100%,Finland,1.0,t +27557,100%,,5.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +7905,100%,Wallis and Futuna,1.0,f +16784,100%,Turkmenistan,3.0,t +15540,100%,Russian Federation,1.0,f +38832,97%,,15.0,f +6573,98%,Indonesia,1.0,f +4936,91%,Philippines,27.0,f +4936,91%,Philippines,27.0,f +23533,0%,,1.0,f +4936,91%,Philippines,27.0,f +37735,100%,Uganda,13.0,t +4936,91%,Philippines,27.0,f +42593,100%,Nicaragua,2.0,f +27557,100%,,5.0,t +11144,,Chile,1.0,f +3594,,Papua New Guinea,1.0,f +36637,,China,11.0,f +9285,,,1.0,f +37668,94%,Switzerland,3.0,f +29056,,,2.0,f +39878,0%,,1.0,f +34664,100%,Uruguay,1.0,f +48273,100%,Russian Federation,1.0,f +17213,100%,France,1.0,t +48418,98%,Bosnia and Herzegovina,30.0,f +48880,100%,France,1.0,f +14367,53%,,1.0,f +32565,100%,Niue,1.0,f +10765,,Monaco,3.0,f +45525,93%,Tonga,9.0,f +38342,100%,,2.0,f +20623,,Guinea,1.0,f +41573,,Cook Islands,1.0,f +28904,,Lebanon,1.0,t +39145,,Papua New Guinea,1.0,f +42965,100%,Uzbekistan,11.0,t +1063,100%,Papua New Guinea,4.0,f +34972,,Greenland,4.0,f +21082,100%,Zimbabwe,1.0,t +274,90%,Togo,2.0,f +13065,100%,Jersey,5.0,f +3019,100%,Barbados,18.0,f +18063,100%,China,1.0,f +30393,100%,Djibouti,9.0,f +1657,,Croatia,13.0,t +30393,100%,Djibouti,9.0,f +30393,100%,Djibouti,9.0,f +25668,100%,Jersey,12.0,t +49357,100%,Micronesia,2.0,f +18349,100%,Gambia,1.0,f +39892,100%,Tonga,31.0,t +33719,100%,Turkmenistan,1.0,f +47973,,Ghana,5.0,f +18034,59%,Svalbard & Jan Mayen Islands,4.0,f +2472,100%,,1.0,f +25996,100%,,1.0,f +27826,98%,Saint Helena,5.0,f +3850,67%,Gambia,1.0,f +27985,0%,Russian Federation,1.0,f +10205,100%,Malawi,1.0,t +35860,98%,Vietnam,4.0,t +29208,100%,Libyan Arab Jamahiriya,1.0,f +36637,,China,11.0,f +4168,,Monaco,2.0,t +47630,100%,Gibraltar,1.0,f +13935,100%,Ecuador,2.0,f +36502,70%,,2.0,f +19905,97%,Monaco,8.0,f +551,95%,Rwanda,17.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +24775,97%,Montserrat,44.0,f +24775,97%,Montserrat,44.0,f +7718,,French Polynesia,1.0,t +17847,100%,Anguilla,1.0,f +3262,100%,Philippines,1.0,f +39798,,,1.0,f +41419,100%,Niue,2.0,f +12609,100%,Micronesia,1.0,t +27116,90%,Tunisia,1.0,f +551,95%,Rwanda,17.0,f +5886,94%,Fiji,25.0,t +10051,,Ukraine,3.0,f +48417,100%,Djibouti,5.0,f +39953,,Maldives,1.0,t +31292,100%,,1.0,f +29046,80%,Sao Tome and Principe,1.0,f +10198,100%,Nicaragua,1.0,f +33871,,Rwanda,1.0,f +3596,100%,Marshall Islands,6.0,t +28484,33%,Sao Tome and Principe,1.0,t +5938,100%,,3.0,f +845,,Zimbabwe,1.0,t +22731,100%,Nicaragua,1.0,f +21702,,Kenya,1.0,f +32669,,France,1.0,f +29647,100%,Peru,1305.0,f +49632,10%,Reunion,1.0,f +11255,93%,Suriname,41.0,f +20553,83%,Barbados,4.0,f +10765,,Monaco,3.0,f +20575,100%,,1.0,f +12820,,,1.0,f +18034,59%,Svalbard & Jan Mayen Islands,4.0,f +5938,100%,,3.0,f +39440,,Sao Tome and Principe,2.0,f +39639,100%,Niue,19.0,f +22850,,Turkmenistan,1.0,f +40421,96%,Jersey,29.0,t +39073,67%,Uzbekistan,1.0,t +24033,100%,Uganda,45.0,f +15270,98%,Suriname,3.0,f +8618,100%,,1.0,f +37646,100%,Estonia,60.0,f +24143,0%,Estonia,3.0,f +19261,100%,Gambia,1.0,f +4322,97%,Tonga,32.0,f +49977,100%,Russian Federation,1.0,f +39639,100%,Niue,19.0,f +4322,97%,Tonga,32.0,f +14358,100%,Maldives,9.0,f +15270,98%,Suriname,3.0,f +28589,100%,Bosnia and Herzegovina,5.0,f +36930,100%,Sao Tome and Principe,1.0,t +43834,99%,Uganda,13.0,f +41995,100%,Reunion,5.0,f +43499,100%,Mexico,1.0,f +34619,100%,Isle of Man,1.0,f +4322,97%,Tonga,32.0,f +24896,100%,Algeria,50.0,t +4217,,Kenya,52.0,f +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +20334,99%,Niger,171.0,t +31324,100%,Isle of Man,2.0,f +8934,84%,Marshall Islands,2.0,f +24056,100%,Fiji,1.0,f +4322,97%,Tonga,32.0,f +10686,86%,Tonga,21.0,f +39639,100%,Niue,19.0,f +37180,,Indonesia,1.0,f +33408,100%,Tonga,6.0,f +18361,100%,El Salvador,1.0,f +42181,100%,Sao Tome and Principe,1.0,f +20153,96%,Reunion,51.0,f +41205,100%,United Kingdom,1.0,f +21493,,Uzbekistan,6.0,f +35069,,Turks and Caicos Islands,1.0,f +4322,97%,Tonga,32.0,f +38209,,Bosnia and Herzegovina,2.0,f +19905,97%,Monaco,8.0,f +24507,100%,Micronesia,1.0,t +21990,100%,Guinea,1.0,t +29531,100%,Andorra,1.0,f +38546,100%,Cuba,7.0,f +37047,97%,United Kingdom,5.0,f +24688,83%,Barbados,7.0,f +8894,100%,Lebanon,4.0,t +4322,97%,Tonga,32.0,f +24688,83%,Barbados,7.0,f +4322,97%,Tonga,32.0,f +2504,100%,Nicaragua,1.0,t +11357,100%,Palestinian Territory,1.0,f +48820,100%,Malta,1.0,f +49435,100%,Marshall Islands,6.0,t +46578,100%,Lebanon,6.0,t +38546,100%,Cuba,7.0,f +13521,100%,Guernsey,2.0,t +31731,100%,,1.0,f +43795,89%,Vanuatu,1.0,f +38546,100%,Cuba,7.0,f +38546,100%,Cuba,7.0,f +21373,100%,Rwanda,1.0,f +904,100%,,1.0,t +27966,100%,,1.0,f +46500,99%,Pakistan,73.0,f +22048,100%,Marshall Islands,3.0,t +31611,,,1.0,f +38546,100%,Cuba,7.0,f +50094,100%,Russian Federation,1.0,f +38546,100%,Cuba,7.0,f +22744,100%,,1.0,f +10826,90%,Togo,2.0,f +18722,,,1.0,f +10756,100%,Croatia,1.0,f +24049,100%,,1.0,t +49445,100%,Denmark,4.0,f +3746,100%,,1.0,f +26474,100%,Guinea,4.0,f +12779,100%,Uganda,1.0,t +43418,,Lebanon,1.0,t +19043,100%,,1.0,f +39892,100%,Tonga,31.0,t +49096,100%,El Salvador,3.0,f +16520,100%,Marshall Islands,22.0,f +41724,,Bouvet Island (Bouvetoya),2.0,f +41445,100%,Micronesia,1.0,t +43571,,,2.0,t +41317,100%,Greenland,1.0,f +41724,,Bouvet Island (Bouvetoya),2.0,f +16991,,Zimbabwe,1.0,f +240,100%,Russian Federation,1.0,t +5399,100%,Suriname,2.0,f +9146,100%,Anguilla,1.0,f +41248,,,1.0,f +33718,100%,,1.0,t +27698,,Uzbekistan,1.0,f +39505,,Sao Tome and Principe,2.0,f +61,100%,,1.0,f +42066,100%,Ecuador,1.0,t +48409,,Estonia,60.0,t +27907,100%,Puerto Rico,21.0,f +13479,100%,,5.0,f +22898,100%,French Guiana,1.0,f +12020,100%,Congo,4.0,t +38624,83%,Vanuatu,1.0,t +42143,86%,,1.0,f +24764,100%,,1.0,f +26351,100%,,2.0,f +36995,100%,Marshall Islands,1.0,f +34223,,,4.0,f +19602,100%,Lithuania,24.0,f +44586,85%,Ukraine,13.0,f +1401,100%,Uganda,3.0,f +41484,89%,Anguilla,23.0,f +551,95%,Rwanda,17.0,f +32650,100%,,2.0,f +27981,100%,Cape Verde,1.0,f +11427,,Slovakia (Slovak Republic),4.0,t +18872,100%,Uzbekistan,2.0,t +6063,100%,Isle of Man,1.0,f +38028,,Niue,1.0,f +298,100%,Honduras,3.0,f +45475,100%,Montserrat,2.0,f +12715,100%,Estonia,29.0,f +43382,100%,Lebanon,1.0,f +28421,50%,Gambia,1.0,f +26424,100%,Tonga,2.0,f +40355,96%,Maldives,8.0,t +18484,100%,Gambia,108.0,f +11611,90%,Micronesia,3.0,f +38182,100%,Kiribati,4.0,f +28145,,Tonga,1.0,f +39616,100%,Costa Rica,13.0,f +5834,100%,Marshall Islands,2.0,f +1401,100%,Uganda,3.0,f +39403,90%,Croatia,1.0,f +49766,60%,Ghana,2.0,f +39616,100%,Costa Rica,13.0,f +27907,100%,Puerto Rico,21.0,f +12826,100%,,2.0,f +21901,,Mauritania,1.0,f +36728,100%,,1.0,f +36646,76%,,2.0,f +11682,100%,Anguilla,3.0,f +13479,100%,,5.0,f +25945,100%,,1.0,f +2367,100%,Kiribati,9.0,f +18886,95%,Vietnam,3.0,t +33716,100%,Gibraltar,2.0,f +30280,100%,Sao Tome and Principe,1.0,f +39892,100%,Tonga,31.0,t +4386,,Zimbabwe,4.0,t +39565,93%,Rwanda,12.0,f +11682,100%,Anguilla,3.0,f +42957,,Brazil,1.0,f +9836,100%,Mauritania,2.0,f +2367,100%,Kiribati,9.0,f +43834,99%,Uganda,13.0,f +2367,100%,Kiribati,9.0,f +21877,100%,Cook Islands,7.0,f +12137,99%,Sao Tome and Principe,33.0,t +20344,,Uganda,1.0,f +11682,100%,Anguilla,3.0,f +29647,100%,Peru,1305.0,f +3851,100%,,2.0,t +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +41878,91%,Maldives,47.0,f +33137,100%,El Salvador,9.0,f +24033,100%,Uganda,45.0,f +33137,100%,El Salvador,9.0,f +48688,,Zimbabwe,1.0,f +16033,,Sao Tome and Principe,1.0,t +47582,,Netherlands,1.0,f +45546,100%,Cape Verde,19.0,t +27768,65%,Kiribati,15.0,t +8654,100%,Christmas Island,3.0,f +37505,100%,,3.0,f +18560,100%,,1.0,f +34991,75%,Nicaragua,2.0,f +28860,100%,Lebanon,6.0,t +28337,100%,France,1.0,f +4217,,Kenya,52.0,f +15340,100%,Slovakia (Slovak Republic),1.0,f +8298,100%,Guinea,14.0,f +37505,100%,,3.0,f +37505,100%,,3.0,f +42420,50%,,1.0,f +20764,,France,1.0,f +10711,93%,Uganda,108.0,t +33753,100%,Puerto Rico,1.0,t +28860,100%,Lebanon,6.0,t +43373,100%,Indonesia,2.0,f +24688,83%,Barbados,7.0,f +14266,,French Guiana,2.0,t +24688,83%,Barbados,7.0,f +41484,89%,Anguilla,23.0,f +47648,100%,Lebanon,3.0,t +27721,,,1.0,f +20319,100%,Guinea,1.0,f +10207,100%,Anguilla,1.0,t +19696,100%,,1.0,f +29446,,Indonesia,1.0,f +8377,,,1.0,f +39223,100%,,1.0,f +21104,,Netherlands,1.0,f +19045,100%,Uzbekistan,2.0,t +40613,,China,1.0,f +22417,100%,Turks and Caicos Islands,1.0,f +27203,,Bouvet Island (Bouvetoya),13.0,f +46029,100%,Sao Tome and Principe,2.0,f +28392,100%,Ukraine,10.0,t +15906,100%,Zimbabwe,1.0,f +4053,,Ecuador,6.0,f +41319,100%,Sao Tome and Principe,5.0,f +47125,93%,Kiribati,4.0,f +48069,100%,China,3.0,f +4322,97%,Tonga,32.0,f +20704,,Ghana,1.0,f +18418,,Nicaragua,1.0,f +40401,,Gibraltar,1.0,f +8753,,Niue,1.0,t +11033,100%,Reunion,3.0,f +10604,,Guinea,1.0,f +26921,98%,Nicaragua,6.0,t +36289,100%,Slovakia (Slovak Republic),1.0,f +33716,100%,Gibraltar,2.0,f +36215,100%,Rwanda,1.0,f +6381,88%,Nauru,1.0,f +37036,94%,Estonia,9.0,f +38704,100%,Niue,1.0,t +17891,100%,Nicaragua,5.0,t +15728,100%,Lithuania,1.0,t +29596,,Nauru,3.0,f +46827,100%,,1.0,f +22955,100%,Sao Tome and Principe,1.0,f +48707,33%,Isle of Man,1.0,f +10351,98%,El Salvador,15.0,f +40650,,,8.0,t +38667,100%,Mauritania,2.0,f +35422,100%,Gambia,1.0,f +40746,100%,Slovakia (Slovak Republic),2.0,f +13180,75%,Nicaragua,1.0,f +44764,98%,Maldives,16.0,f +44764,98%,Maldives,16.0,f +44764,98%,Maldives,16.0,f +33394,100%,Bosnia and Herzegovina,2.0,t +44169,97%,Portugal,39.0,f +44764,98%,Maldives,16.0,f +24896,100%,Algeria,50.0,t +18132,100%,,1.0,t +24896,100%,Algeria,50.0,t +16614,100%,Kiribati,1.0,f +4217,,Kenya,52.0,f +44764,98%,Maldives,16.0,f +24293,100%,,1.0,f +24896,100%,Algeria,50.0,t +44169,97%,Portugal,39.0,f +44764,98%,Maldives,16.0,f +10898,100%,Barbados,4.0,t +44764,98%,Maldives,16.0,f +44169,97%,Portugal,39.0,f +28996,100%,Lebanon,1.0,t +2848,100%,Denmark,1.0,f +45018,95%,Portugal,3.0,f +18782,,Russian Federation,3.0,f +24896,100%,Algeria,50.0,t +8601,,Angola,16.0,f +17731,100%,,2.0,f +19856,100%,Saint Helena,1.0,f +28263,,France,1.0,f +28708,100%,Guinea,4.0,t +22021,100%,,1.0,t +23445,100%,Russian Federation,1.0,f +43805,100%,Micronesia,1.0,f +23143,65%,Bouvet Island (Bouvetoya),14.0,f +4322,97%,Tonga,32.0,f +44764,98%,Maldives,16.0,f +1810,100%,Lebanon,2.0,f +44764,98%,Maldives,16.0,f +38329,100%,Vanuatu,1.0,t +25860,100%,Brunei Darussalam,1.0,t +15656,90%,,2.0,t +8849,100%,Brazil,1.0,t +48795,100%,,1.0,f +25536,,Niue,2.0,t +17909,100%,Kiribati,3.0,f +23426,,,1.0,t +15567,100%,Slovakia (Slovak Republic),4.0,f +4322,97%,Tonga,32.0,f +26768,,Indonesia,9.0,f +26768,,Indonesia,9.0,f +26768,,Indonesia,9.0,f +18231,93%,Uganda,7.0,t +9267,100%,Slovakia (Slovak Republic),2.0,f +26768,,Indonesia,9.0,f +41622,,Puerto Rico,1.0,f +45451,100%,Zimbabwe,3.0,f +4217,,Kenya,52.0,f +43042,100%,Niue,3.0,f +13637,60%,,5.0,t +21614,100%,,1.0,f +4322,97%,Tonga,32.0,f +33460,,Togo,1.0,f +18231,93%,Uganda,7.0,t +40444,100%,Nicaragua,1.0,f +23482,100%,Niue,1.0,f +13179,77%,Marshall Islands,2.0,f +4217,,Kenya,52.0,f +48791,97%,Uzbekistan,5.0,t +30022,33%,French Guiana,2.0,f +22683,55%,Togo,1.0,f +3491,83%,Denmark,1.0,f +46197,90%,,1.0,f +47335,78%,Guernsey,15.0,f +1388,,Martinique,2.0,t +42176,,,1.0,t +4217,,Kenya,52.0,f +22349,0%,Monaco,1.0,f +44872,100%,,1.0,t +9267,100%,Slovakia (Slovak Republic),2.0,f +23017,,Niue,1.0,f +43112,100%,Bouvet Island (Bouvetoya),1.0,f +9343,100%,Afghanistan,10.0,t +24698,86%,Russian Federation,2.0,f +7125,,,1.0,f +36257,50%,,1.0,f +42024,100%,Indonesia,1.0,t +41354,100%,Micronesia,4.0,t +23605,100%,Guinea,2.0,f +20515,100%,Niue,2.0,t +12830,,Niue,1.0,t +19602,100%,Lithuania,24.0,f +28910,,Lebanon,1.0,f +45041,100%,Niue,2.0,f +16520,100%,Marshall Islands,22.0,f +36975,100%,Marshall Islands,2.0,f +29580,100%,Russian Federation,3.0,f +35436,99%,Nicaragua,21.0,f +11872,,,13.0,f +29647,100%,Peru,1305.0,f +36841,,Wallis and Futuna,1.0,f +38182,100%,Kiribati,4.0,f +41484,89%,Anguilla,23.0,f +37282,100%,,3.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +35436,99%,Nicaragua,21.0,f +35436,99%,Nicaragua,21.0,f +41221,75%,,1.0,t +4515,100%,Gambia,2.0,f +49867,100%,,1.0,f +34055,,,1.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +44973,100%,Kiribati,1.0,f +5114,100%,Niue,2.0,f +44169,97%,Portugal,39.0,f +34284,100%,Cape Verde,2.0,f +2570,,,1.0,f +9822,,Netherlands,2.0,f +15009,100%,Kiribati,1.0,t +47927,100%,Zimbabwe,1.0,f +36396,88%,Afghanistan,2.0,f +46500,99%,Pakistan,73.0,f +43295,,Moldova,1.0,f +39332,100%,Niue,2.0,f +13923,100%,,2.0,f +43145,73%,Sao Tome and Principe,1.0,f +18953,100%,Chile,1.0,f +10974,100%,Niue,1.0,f +45897,,Cook Islands,1.0,t +31522,97%,Niger,5.0,t +27262,79%,Gibraltar,1.0,t +36424,63%,Slovakia (Slovak Republic),12.0,f +27847,100%,Russian Federation,2.0,t +15744,100%,French Guiana,1.0,f +35205,100%,Uzbekistan,1.0,f +28982,100%,Svalbard & Jan Mayen Islands,1.0,f +47164,100%,Ukraine,2.0,f +5254,100%,Malawi,1.0,f +25552,100%,Jersey,1.0,f +24370,90%,Zimbabwe,3.0,f +46099,98%,Uzbekistan,28.0,f +8914,100%,,4.0,f +6346,100%,,2.0,f +8914,100%,,4.0,f +8628,0%,Russian Federation,1.0,f +44193,80%,Croatia,1.0,f +36167,89%,Guinea,3.0,f +13625,80%,Tonga,3.0,f +39762,,,1.0,f +24381,,,2.0,f +13340,100%,Nicaragua,1.0,f +682,,Togo,1.0,f +28735,,Faroe Islands,1.0,f +32735,100%,,2.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +39441,96%,Cuba,4.0,f +28766,100%,Estonia,16.0,f +10278,,China,1.0,f +2124,100%,Somalia,2.0,f +48251,97%,Zimbabwe,6.0,f +1387,,Philippines,4.0,f +31572,60%,Mauritania,1.0,t +39455,100%,Vietnam,1.0,f +23208,75%,Rwanda,1.0,f +20329,100%,Reunion,21.0,f +24943,67%,,1.0,t +24413,100%,Monaco,1.0,f +10570,,Maldives,2.0,f +45581,100%,Venezuela,1.0,f +45636,100%,Reunion,2.0,f +48409,,Estonia,60.0,t +47335,78%,Guernsey,15.0,f +5345,100%,,2.0,f +4150,88%,Monaco,1.0,f +34597,100%,Slovakia (Slovak Republic),3.0,t +3456,100%,Denmark,1.0,f +44764,98%,Maldives,16.0,f +36167,89%,Guinea,3.0,f +38878,100%,,2.0,f +35174,100%,Lithuania,1.0,f +63,,Estonia,1.0,f +44190,100%,,3.0,f +18384,100%,Lithuania,1.0,t +34815,100%,Niue,1.0,t +28677,,Mauritania,1.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +32615,100%,Lebanon,2.0,f +26579,75%,Libyan Arab Jamahiriya,1.0,t +36562,,France,1.0,f +10570,,Maldives,2.0,f +31446,100%,Faroe Islands,9.0,f +22596,90%,Russian Federation,8.0,f +32814,100%,Zimbabwe,2.0,f +37293,92%,Russian Federation,15.0,f +36611,71%,Maldives,14.0,f +31134,100%,Maldives,2.0,t +22596,90%,Russian Federation,8.0,f +31446,100%,Faroe Islands,9.0,f +22721,100%,Ecuador,109.0,f +22596,90%,Russian Federation,8.0,f +20882,100%,Barbados,2.0,f +10035,100%,Tonga,2.0,f +19782,,,6.0,f +35594,94%,,8.0,f +222,89%,,16.0,f +14964,100%,,1.0,f +38182,100%,Kiribati,4.0,f +21142,100%,,1.0,f +46675,100%,Tonga,1.0,f +37398,100%,Ghana,3.0,f +19782,,,6.0,f +29647,100%,Peru,1305.0,f +7290,,,1.0,f +19782,,,6.0,f +26647,71%,,1.0,f +19163,80%,Sao Tome and Principe,1.0,f +49496,100%,Gibraltar,1.0,f +8437,99%,Maldives,6.0,f +20125,75%,,1.0,f +48239,100%,Finland,1.0,f +31900,100%,United Kingdom,1.0,f +40793,100%,,75.0,t +20363,100%,,6.0,f +20363,100%,,6.0,f +20363,100%,,6.0,f +20363,100%,,6.0,f +45460,83%,France,3.0,f +20363,100%,,6.0,f +20363,100%,,6.0,f +28849,100%,Togo,2.0,f +28849,100%,Togo,2.0,f +13710,100%,Christmas Island,3.0,f +46450,,Malta,1.0,t +20894,,Nicaragua,1.0,f +18703,0%,Sao Tome and Principe,1.0,f +49234,100%,Denmark,2.0,f +30792,100%,,1.0,f +17092,100%,Estonia,2.0,f +16783,50%,Lithuania,3.0,f +49558,100%,Malta,5.0,t +49096,100%,El Salvador,3.0,f +36634,100%,Uganda,4.0,f +25376,100%,,3.0,f +18267,100%,Denmark,2.0,t +27110,100%,United Kingdom,3.0,f +16656,100%,,1.0,f +4691,100%,Congo,1.0,f +5264,100%,Rwanda,1.0,f +49127,,El Salvador,1.0,f +16268,,,10.0,f +16268,,,10.0,f +16268,,,10.0,f +49945,100%,Marshall Islands,3.0,f +16479,,France,1.0,f +1960,,,2.0,t +43316,100%,Indonesia,23.0,f +33278,100%,Cuba,3.0,f +13317,100%,,1.0,f +3511,100%,,1.0,t +21739,100%,,1.0,f +24650,75%,Tonga,3.0,t +7614,,,2.0,f +26931,100%,Lithuania,1.0,f +44808,100%,Greenland,1.0,f +29187,86%,Turks and Caicos Islands,1.0,f +15189,79%,China,21.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +43316,100%,Indonesia,23.0,f +49398,88%,Barbados,18.0,t +1281,100%,Ukraine,1.0,f +28176,100%,Gambia,1.0,f +29715,98%,Tunisia,3.0,f +9864,100%,Holy See (Vatican City State),1.0,f +26652,97%,Pakistan,6.0,f +43834,99%,Uganda,13.0,f +3779,100%,Guernsey,1.0,f +4322,97%,Tonga,32.0,f +45747,71%,Uganda,1.0,t +5217,,Croatia,1.0,f +7567,100%,,1.0,f +16871,,France,1.0,f +4322,97%,Tonga,32.0,f +37091,75%,Anguilla,1.0,f +3083,100%,,1.0,f +45882,100%,,1.0,f +26386,100%,Fiji,25.0,t +29647,100%,Peru,1305.0,f +18484,100%,Gambia,108.0,f +13427,100%,Ecuador,1.0,f +46842,75%,Portugal,13.0,t +3027,90%,Lebanon,1.0,t +17663,100%,,1.0,f +32045,,Rwanda,1.0,f +21452,99%,Lebanon,29.0,f +17977,67%,Puerto Rico,1.0,f +28828,100%,Isle of Man,198.0,t +30746,67%,Gambia,1.0,f +39565,93%,Rwanda,12.0,f +39535,100%,,1.0,f +7614,,,2.0,f +30401,100%,Philippines,1.0,f +34604,96%,Kenya,18.0,f +46091,50%,,2.0,t +37824,100%,,2.0,f +46842,75%,Portugal,13.0,t +2844,98%,Marshall Islands,12.0,f +27323,,Bosnia and Herzegovina,1.0,f +46842,75%,Portugal,13.0,t +20727,100%,Russian Federation,4.0,t +46842,75%,Portugal,13.0,t +21153,,Micronesia,1.0,f +41878,91%,Maldives,47.0,f +30303,,,1.0,f +19553,,Kiribati,1.0,f +20754,,China,13.0,f +13388,100%,Brazil,5.0,f +356,99%,Wallis and Futuna,32.0,t +40211,85%,United Kingdom,1.0,t +36677,100%,Maldives,6.0,f +15179,100%,,1.0,t +43068,100%,Kenya,1.0,f +14006,93%,Maldives,2.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +19176,,Greenland,1.0,f +34414,,Tonga,1.0,f +17503,50%,,1.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +17298,97%,Barbados,7.0,f +29060,,,2.0,f +2163,,Netherlands,1.0,f +25636,85%,Tonga,6.0,f +35557,100%,Guernsey,1.0,f +26622,100%,Tanzania,1.0,f +3567,100%,Ukraine,2.0,f +24725,,Isle of Man,1.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +25636,85%,Tonga,6.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +3567,100%,Ukraine,2.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +25636,85%,Tonga,6.0,f +38675,100%,Slovakia (Slovak Republic),16.0,t +38675,100%,Slovakia (Slovak Republic),16.0,t +25636,85%,Tonga,6.0,f +25483,100%,,1.0,f +28227,,China,1.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +34271,,Jersey,1.0,t +22477,100%,Togo,1.0,f +38008,100%,French Polynesia,2.0,f +1960,,,2.0,t +47335,78%,Guernsey,15.0,f +19353,100%,Kiribati,1.0,f +47335,78%,Guernsey,15.0,f +18909,100%,,2.0,t +22461,100%,Turks and Caicos Islands,4.0,f +26201,50%,,1.0,f +2367,100%,Kiribati,9.0,f +41202,100%,Niue,3.0,f +48654,100%,,6.0,f +24956,100%,Lebanon,2.0,t +19943,63%,Isle of Man,34.0,f +2092,100%,,2.0,f +23090,79%,Estonia,3.0,f +11033,100%,Reunion,3.0,f +40676,100%,Jersey,2.0,f +44901,100%,Bouvet Island (Bouvetoya),5.0,f +4322,97%,Tonga,32.0,f +20710,100%,Mauritania,1.0,f +27866,100%,Guinea,8.0,f +45678,100%,Bouvet Island (Bouvetoya),3.0,f +4322,97%,Tonga,32.0,f +29185,,Guinea,2.0,t +37302,76%,,7.0,f +9967,,Nicaragua,2.0,f +5074,100%,Palestinian Territory,4.0,f +4322,97%,Tonga,32.0,f +21262,,Anguilla,1.0,f +3019,100%,Barbados,18.0,f +4322,97%,Tonga,32.0,f +43067,100%,Russian Federation,3.0,f +36637,,China,11.0,f +4322,97%,Tonga,32.0,f +2525,50%,Montserrat,2.0,f +48068,100%,,4.0,f +44033,,,3.0,f +9071,100%,Rwanda,1.0,t +5489,100%,Tonga,1.0,f +50087,100%,Uzbekistan,1.0,f +17312,100%,,1.0,f +9050,0%,Lithuania,1.0,f +18602,,Lebanon,1.0,f +4322,97%,Tonga,32.0,f +34067,,Greenland,3.0,f +44033,,,3.0,f +12011,,Estonia,2.0,f +12011,,Estonia,2.0,f +4322,97%,Tonga,32.0,f +37536,100%,,1.0,t +26443,,Guinea,3.0,f +4322,97%,Tonga,32.0,f +4322,97%,Tonga,32.0,f +4936,91%,Philippines,27.0,f +7258,100%,Brazil,2.0,t +22572,,Kenya,2.0,t +4936,91%,Philippines,27.0,f +22572,,Kenya,2.0,t +22271,,Nicaragua,2.0,f +4936,91%,Philippines,27.0,f +4322,97%,Tonga,32.0,f +8949,100%,Isle of Man,4.0,f +934,100%,Chad,1.0,f +3112,94%,Indonesia,25.0,f +43067,100%,Russian Federation,3.0,f +1973,75%,Uganda,1.0,f +16514,100%,Puerto Rico,4.0,f +34982,50%,Kiribati,1.0,f +1186,100%,Isle of Man,2.0,f +38204,,Micronesia,1.0,t +48546,100%,Gambia,1.0,t +17611,,,1.0,f +31751,100%,Nicaragua,29.0,f +3921,98%,,14.0,f +3921,98%,,14.0,f +12064,,,1.0,f +22971,100%,Afghanistan,1.0,f +2161,44%,Rwanda,8.0,f +44584,89%,Sao Tome and Principe,2.0,f +6856,100%,Denmark,1.0,f +11403,80%,Barbados,3.0,f +33415,100%,,1.0,f +49251,100%,Uzbekistan,1.0,f +9941,,,1.0,f +25415,100%,Ghana,1.0,f +11855,0%,Maldives,1.0,f +4308,100%,Togo,1.0,f +33889,100%,Uzbekistan,1.0,f +17813,100%,,1.0,f +5793,100%,,1.0,f +23422,100%,Papua New Guinea,1.0,f +22405,100%,Sao Tome and Principe,1.0,f +21531,100%,Palau,3.0,f +33596,100%,Micronesia,1.0,f +43602,,Lebanon,1.0,t +42732,,United Kingdom,1.0,t +11251,100%,Libyan Arab Jamahiriya,2.0,f +37668,94%,Switzerland,3.0,f +36118,100%,,1.0,f +4810,100%,,1.0,t +19241,100%,Afghanistan,1.0,t +31873,99%,Uzbekistan,22.0,f +34481,100%,,2.0,f +3019,100%,Barbados,18.0,f +44491,100%,Guernsey,1.0,t +17115,100%,Gambia,2.0,t +22721,100%,Ecuador,109.0,f +30149,,Malta,1.0,t +29935,100%,Gambia,2.0,t +46071,89%,Niue,2.0,f +21576,100%,,2.0,f +23644,100%,Mauritania,4.0,t +17398,100%,,1.0,f +31977,100%,,1.0,f +29715,98%,Tunisia,3.0,f +41141,,Vanuatu,1.0,t +35091,100%,Zimbabwe,3.0,f +30995,,,7.0,f +24167,100%,Lebanon,1.0,f +19799,100%,Guinea,2.0,f +25905,100%,Denmark,1.0,f +29715,98%,Tunisia,3.0,f +45208,100%,Svalbard & Jan Mayen Islands,1.0,f +1533,100%,Cocos (Keeling) Islands,2.0,f +26132,100%,Marshall Islands,1.0,f +17256,,,1.0,f +18749,100%,Costa Rica,2.0,f +17442,100%,French Guiana,1.0,f +32944,,,1.0,f +37387,,,1.0,f +31507,67%,,2.0,t +623,84%,,5.0,f +37455,,Sao Tome and Principe,2.0,f +10004,90%,Marshall Islands,3.0,t +12413,100%,Tanzania,1.0,f +27144,100%,Faroe Islands,1.0,f +26167,81%,Senegal,3.0,f +5951,100%,Rwanda,1.0,t +13436,100%,Turkmenistan,2.0,t +5035,,Nauru,1.0,f +9346,100%,Ghana,1.0,f +31632,,Tonga,2.0,f +49487,99%,Marshall Islands,6.0,f +4238,88%,,1.0,f +5993,100%,,1.0,f +8733,100%,Tonga,4.0,t +5057,100%,Zimbabwe,23.0,t +24060,100%,Malta,1.0,t +1922,,France,1.0,f +2514,100%,,2.0,f +8914,100%,,4.0,f +42460,0%,Gambia,1.0,f +45083,100%,,1.0,f +25379,100%,Niue,1.0,t +47380,100%,Russian Federation,4.0,f +38926,100%,Slovenia,2.0,t +29877,100%,,1.0,t +8169,83%,,1.0,f +8566,100%,,1.0,f +34254,,Swaziland,2.0,f +9035,100%,,2.0,f +28374,100%,Jersey,4.0,f +44648,,Rwanda,1.0,f +9780,,Isle of Man,2.0,t +18519,100%,Guinea,1.0,f +39444,100%,Marshall Islands,3.0,f +28374,100%,Jersey,4.0,f +20650,100%,Uzbekistan,3.0,t +47490,78%,Nicaragua,2.0,f +9733,100%,,1.0,f +10035,100%,Tonga,2.0,f +40951,100%,Turkmenistan,1.0,f +9612,88%,,1.0,f +40048,100%,,1.0,f +28848,100%,Uganda,9.0,f +43680,38%,Ukraine,1.0,f +48132,100%,Chile,2.0,t +27866,100%,Guinea,8.0,f +23872,100%,Montserrat,1.0,f +28478,,,1.0,t +48908,100%,Togo,1.0,f +16818,98%,Nicaragua,5.0,t +37302,76%,,7.0,f +23030,100%,Greenland,2.0,f +37302,76%,,7.0,f +37302,76%,,7.0,f +49487,99%,Marshall Islands,6.0,f +20505,93%,Niue,1.0,f +8964,,Sao Tome and Principe,1.0,f +2875,100%,Lebanon,1.0,f +34025,,Nicaragua,6.0,f +1143,100%,Bouvet Island (Bouvetoya),1.0,f +25006,100%,Monaco,1.0,f +23469,100%,Nicaragua,116.0,f +15266,100%,Bouvet Island (Bouvetoya),1.0,f +34158,,Kenya,1.0,f +1943,100%,,1.0,f +10940,100%,,2.0,f +31264,,Malta,2.0,f +22817,,Lebanon,1.0,f +26652,97%,Pakistan,6.0,f +43183,98%,Tonga,12.0,t +47078,100%,,2.0,t +40153,100%,,1.0,t +22567,100%,Marshall Islands,1.0,t +28708,100%,Guinea,4.0,t +3961,100%,Fiji,8.0,f +27883,100%,Cuba,11.0,f +1671,100%,Holy See (Vatican City State),1.0,t +33817,100%,Gibraltar,62.0,f +37646,100%,Estonia,60.0,f +6338,100%,Isle of Man,6.0,f +15912,50%,,1.0,f +24357,100%,,2.0,f +3961,100%,Fiji,8.0,f +26378,,Cape Verde,5.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +18224,100%,Venezuela,1.0,f +9741,99%,Cape Verde,8.0,f +18603,,Faroe Islands,3.0,f +10980,,Estonia,1.0,f +41121,,,1.0,f +26782,,Congo,1.0,f +18804,100%,Kenya,1.0,f +22285,100%,Rwanda,1.0,f +4217,,Kenya,52.0,f +25165,93%,Uzbekistan,7.0,f +27803,100%,,1.0,f +25438,100%,,1.0,f +40654,100%,,2.0,f +48199,100%,,1.0,f +39148,,,1.0,f +17021,100%,Ecuador,1.0,f +37047,97%,United Kingdom,5.0,f +49689,100%,Niger,6.0,f +42760,,Gibraltar,1.0,f +2844,98%,Marshall Islands,12.0,f +26657,100%,Faroe Islands,1.0,t +4217,,Kenya,52.0,f +10686,86%,Tonga,21.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +12164,100%,Nicaragua,8.0,f +28392,100%,Ukraine,10.0,t +7564,100%,Gambia,1.0,f +27363,80%,,3.0,t +35379,100%,Tonga,4.0,f +26789,,Guinea,3.0,t +42390,100%,Wallis and Futuna,96.0,t +41619,100%,Micronesia,1.0,f +14918,100%,Jersey,1.0,f +34190,100%,Barbados,6.0,f +42390,100%,Wallis and Futuna,96.0,t +23626,,Sao Tome and Principe,1.0,f +16888,100%,,1.0,f +18484,100%,Gambia,108.0,f +21683,100%,,1.0,f +23271,,Turkmenistan,2.0,f +13874,100%,Guinea,2.0,f +9415,100%,Cocos (Keeling) Islands,1.0,f +21520,,Rwanda,1.0,f +7129,100%,Guinea,4.0,f +32478,,Lebanon,1.0,f +14709,67%,Chad,1.0,f +41612,100%,Montserrat,1.0,f +41153,100%,Guinea,9.0,f +13699,90%,,6.0,f +1062,100%,,2.0,f +14468,100%,Tonga,1.0,f +30475,92%,Vietnam,40.0,f +42805,,Russian Federation,2.0,f +21822,100%,Monaco,2.0,t +1640,,Nicaragua,1.0,f +8910,100%,Micronesia,1.0,f +2844,98%,Marshall Islands,12.0,f +28828,100%,Isle of Man,198.0,t +25636,85%,Tonga,6.0,f +19714,100%,Micronesia,2.0,t +24493,,Bosnia and Herzegovina,3.0,f +1214,100%,,5.0,f +2844,98%,Marshall Islands,12.0,f +2844,98%,Marshall Islands,12.0,f +49794,0%,Micronesia,1.0,f +41538,100%,,16.0,f +2844,98%,Marshall Islands,12.0,f +23276,100%,Brazil,4.0,f +41604,100%,Tonga,4.0,f +2844,98%,Marshall Islands,12.0,f +8583,90%,Venezuela,1.0,f +5707,100%,Zimbabwe,3.0,f +38587,,,1.0,t +4936,91%,Philippines,27.0,f +42046,,Kiribati,7.0,t +49035,98%,Maldives,6.0,f +44236,100%,Nicaragua,1.0,f +5707,100%,Zimbabwe,3.0,f +5707,100%,Zimbabwe,3.0,f +32946,,Isle of Man,1.0,f +35387,80%,Puerto Rico,1.0,f +28309,,,1.0,f +12005,,Tonga,1.0,t +42046,,Kiribati,7.0,t +18183,100%,Netherlands,5.0,t +49035,98%,Maldives,6.0,f +8298,100%,Guinea,14.0,f +9516,99%,Pakistan,45.0,t +25460,100%,Maldives,13.0,f +11274,100%,Tanzania,1.0,t +7804,100%,Russian Federation,3.0,f +25993,100%,,1.0,f +37163,100%,,1.0,f +18893,100%,Micronesia,3.0,t +40671,100%,Bosnia and Herzegovina,2.0,t +3312,100%,Vanuatu,1.0,f +48840,100%,Uzbekistan,9.0,f +3253,100%,Christmas Island,1.0,t +49096,100%,El Salvador,3.0,f +29081,98%,Uzbekistan,18.0,f +18697,100%,Rwanda,8.0,f +7415,100%,Uzbekistan,8.0,f +23231,100%,Libyan Arab Jamahiriya,1.0,f +1558,100%,,10.0,f +12726,,Isle of Man,1.0,t +41199,100%,Brazil,1.0,f +38650,80%,Uzbekistan,1.0,t +48251,97%,Zimbabwe,6.0,f +30269,100%,,1.0,f +47347,100%,Ecuador,3.0,f +32176,,Bosnia and Herzegovina,1.0,f +45527,100%,Kiribati,1.0,f +23090,79%,Estonia,3.0,f +38741,,France,1.0,f +41878,91%,Maldives,47.0,f +8951,100%,Faroe Islands,1.0,f +48251,97%,Zimbabwe,6.0,f +39009,82%,Mauritania,1.0,f +40080,,,1.0,t +10335,100%,Guinea,1.0,f +30614,100%,Zimbabwe,1.0,f +6675,,Netherlands,1.0,f +19214,100%,Senegal,55.0,f +47347,100%,Ecuador,3.0,f +13070,100%,Fiji,45.0,f +23090,79%,Estonia,3.0,f +13070,100%,Fiji,45.0,f +38291,,Gibraltar,1.0,t +32632,80%,Rwanda,1.0,f +13070,100%,Fiji,45.0,f +23823,100%,China,3.0,t +45917,,,1.0,f +35230,100%,,2.0,t +29291,100%,,1.0,f +6697,100%,Pakistan,1.0,f +25636,85%,Tonga,6.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +33943,100%,Tunisia,1.0,f +16463,100%,Cape Verde,2.0,f +41153,100%,Guinea,9.0,f +18484,100%,Gambia,108.0,f +34723,100%,Peru,12.0,f +30475,92%,Vietnam,40.0,f +25049,100%,,2.0,f +2235,100%,Guinea,1.0,f +35400,100%,Guernsey,1.0,f +13063,100%,,2.0,f +27226,100%,Congo,10.0,f +42416,97%,Puerto Rico,20.0,f +6782,100%,Uganda,5.0,f +40784,100%,Niue,3.0,f +18724,,,49.0,f +13479,100%,,5.0,f +37708,69%,,1.0,f +30290,,Chad,1.0,t +2363,,Barbados,3.0,t +48325,60%,United Kingdom,1.0,t +21452,99%,Lebanon,29.0,f +44215,100%,Maldives,1.0,f +38235,80%,Kiribati,3.0,t +34723,100%,Peru,12.0,f +4217,,Kenya,52.0,f +4483,,Gambia,1.0,f +39565,93%,Rwanda,12.0,f +15226,100%,French Polynesia,1.0,t +34723,100%,Peru,12.0,f +13641,85%,Mauritania,23.0,f +46669,86%,Brazil,11.0,f +29924,100%,Sao Tome and Principe,1.0,f +39109,77%,Ukraine,24.0,t +19990,,,1.0,f +37386,100%,,1.0,f +2844,98%,Marshall Islands,12.0,f +16851,,Tonga,2.0,t +24462,,Peru,1.0,f +41153,100%,Guinea,9.0,f +30719,100%,Reunion,1.0,f +2844,98%,Marshall Islands,12.0,f +37963,100%,Lithuania,1.0,t +12115,100%,,1.0,f +32685,100%,,1.0,f +33683,33%,Somalia,2.0,f +2844,98%,Marshall Islands,12.0,f +20082,,,1.0,t +27697,100%,Afghanistan,1.0,f +36505,100%,Gambia,1.0,f +43932,100%,,1.0,f +29296,100%,,1.0,f +47164,100%,Ukraine,2.0,f +40559,95%,Tonga,1.0,f +45088,100%,Reunion,9.0,f +39527,100%,Vanuatu,2.0,f +34409,100%,,1.0,t +28788,100%,Uganda,1.0,f +44075,100%,,3.0,f +26270,100%,Croatia,1.0,t +13699,90%,,6.0,f +33937,82%,,1.0,f +31781,95%,Guinea,6.0,f +17034,100%,Guinea,1.0,t +47546,0%,,1.0,f +42949,100%,Papua New Guinea,2.0,f +47657,100%,Djibouti,1.0,f +8914,100%,,4.0,f +14514,,China,80.0,t +37988,,Puerto Rico,1.0,f +26683,100%,,1.0,f +23958,100%,Kiribati,1.0,t +37856,,Netherlands,3.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +18486,100%,Suriname,1.0,t +29647,100%,Peru,1305.0,f +1425,,Isle of Man,1.0,f +9788,100%,Brazil,1.0,t +31092,,Senegal,19.0,f +39843,100%,Switzerland,3.0,t +41484,89%,Anguilla,23.0,f +25046,100%,Maldives,14.0,f +39613,88%,,1.0,f +43842,,France,1.0,f +41484,89%,Anguilla,23.0,f +34646,100%,Jersey,1.0,f +32935,,Ghana,40.0,f +37856,,Netherlands,3.0,f +15289,100%,Monaco,1.0,f +43777,100%,Denmark,18.0,f +7309,100%,Togo,4.0,f +29231,100%,Ecuador,1.0,f +31873,99%,Uzbekistan,22.0,f +38054,,Barbados,1.0,f +18052,,Russian Federation,1.0,f +4936,91%,Philippines,27.0,f +4936,91%,Philippines,27.0,f +324,100%,,3.0,f +4936,91%,Philippines,27.0,f +27585,100%,Niue,1.0,f +32105,100%,Russian Federation,2.0,t +18498,,Bosnia and Herzegovina,1.0,f +18992,95%,,3.0,f +32495,100%,Tonga,9.0,f +44799,100%,Togo,2.0,f +35493,100%,French Guiana,1.0,t +28993,100%,Kenya,1.0,t +32105,100%,Russian Federation,2.0,t +6240,100%,Kiribati,1.0,f +18697,100%,Rwanda,8.0,f +6212,100%,,2.0,t +21133,,,1.0,f +13273,100%,Isle of Man,1.0,f +15479,100%,Kenya,3.0,t +29838,50%,,1.0,f +48069,100%,China,3.0,f +32870,100%,Gibraltar,1.0,t +46364,100%,Greenland,2.0,f +17556,100%,Malta,1.0,f +60,90%,Greenland,1.0,f +38748,43%,Chad,1.0,f +12127,,Zimbabwe,1.0,f +49487,99%,Marshall Islands,6.0,f +3921,98%,,14.0,f +14318,95%,China,2.0,f +36389,100%,Russian Federation,1.0,f +28374,100%,Jersey,4.0,f +28034,89%,Nauru,2.0,f +10416,,Barbados,1.0,f +23640,80%,Gambia,3.0,f +23547,100%,Anguilla,1.0,f +28374,100%,Jersey,4.0,f +25049,100%,,2.0,f +5287,,Kenya,1.0,f +45551,100%,Jersey,2.0,t +8678,100%,Saint Helena,2.0,t +34219,20%,Zimbabwe,3.0,f +27722,,,3.0,t +38701,40%,Niger,27.0,f +3321,100%,Zimbabwe,1.0,f +23548,94%,Fiji,7.0,f +20734,95%,Ecuador,2.0,f +22600,83%,Malta,2.0,f +42949,100%,Papua New Guinea,2.0,f +14087,100%,,5.0,f +27474,100%,Marshall Islands,1.0,f +19705,100%,,1.0,f +44796,100%,Maldives,2.0,t +20953,100%,Palestinian Territory,1.0,f +5416,100%,Denmark,1.0,f +36424,63%,Slovakia (Slovak Republic),12.0,f +39297,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +37203,,,1.0,t +47788,,Sao Tome and Principe,1.0,f +40769,100%,Nicaragua,1.0,f +40287,100%,Wallis and Futuna,7.0,f +4217,,Kenya,52.0,f +48409,,Estonia,60.0,t +37646,100%,Estonia,60.0,f +18714,67%,French Guiana,1.0,f +41241,100%,Russian Federation,1.0,f +6416,100%,Niue,1.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +31352,100%,Pakistan,1.0,f +45451,100%,Zimbabwe,3.0,f +44392,,Papua New Guinea,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +34042,100%,Marshall Islands,37.0,f +6087,,Niue,1.0,f +700,,Guinea,2.0,t +16567,100%,Russian Federation,4.0,f +43143,,Madagascar,2.0,f +28529,,Gambia,2.0,f +423,100%,Monaco,1.0,t +49787,100%,,1.0,f +20330,,Lebanon,1.0,f +11951,0%,Anguilla,1.0,f +22721,100%,Ecuador,109.0,f +36928,,Rwanda,1.0,f +17727,100%,French Guiana,1.0,t +26526,94%,Tonga,8.0,f +18077,100%,Sao Tome and Principe,139.0,f +20153,96%,Reunion,51.0,f +22184,100%,Zimbabwe,1.0,f +20337,45%,Tonga,1.0,f +10130,100%,Maldives,1.0,f +45121,100%,Andorra,5.0,t +11861,100%,Isle of Man,1.0,f +18015,100%,Venezuela,1.0,t +36270,100%,Maldives,2.0,f +40793,100%,,75.0,t +30914,80%,Isle of Man,1.0,f +46763,,China,1.0,t +14444,100%,Turkmenistan,1.0,f +33030,100%,Niue,11.0,f +10480,100%,Comoros,22.0,f +13310,,Niue,1.0,f +31888,100%,,1.0,f +23116,90%,Malta,1.0,f +13860,100%,Barbados,1.0,t +34221,100%,Puerto Rico,2.0,t +10480,100%,Comoros,22.0,f +48619,100%,Russian Federation,1.0,f +44611,100%,Micronesia,1.0,f +20524,100%,United Kingdom,1.0,f +43656,92%,Saint Helena,2.0,f +23164,100%,China,12.0,t +12906,67%,,1.0,f +33817,100%,Gibraltar,62.0,f +44297,100%,Kiribati,2.0,f +4322,97%,Tonga,32.0,f +13220,,Lebanon,1.0,f +31072,100%,Montserrat,6.0,t +10238,100%,French Polynesia,2.0,f +10012,100%,Nicaragua,1.0,t +18484,100%,Gambia,108.0,f +49169,50%,Russian Federation,1.0,f +31072,100%,Montserrat,6.0,t +47967,100%,Uzbekistan,2.0,t +4217,,Kenya,52.0,f +18697,100%,Rwanda,8.0,f +13935,100%,Ecuador,2.0,f +21888,100%,Holy See (Vatican City State),1.0,f +8192,100%,,1.0,t +24638,100%,Lebanon,1.0,t +44452,100%,,2.0,t +39411,100%,,1.0,t +623,84%,,5.0,f +4064,,,1.0,f +19602,100%,Lithuania,24.0,f +35442,,Russian Federation,14.0,f +18092,89%,Croatia,1.0,t +31549,100%,,1.0,f +23640,80%,Gambia,3.0,f +26448,100%,Brazil,1.0,f +47293,100%,,3.0,f +27228,100%,Isle of Man,7.0,f +24467,100%,Estonia,1.0,t +27228,100%,Isle of Man,7.0,f +45193,100%,,1.0,f +27228,100%,Isle of Man,7.0,f +22594,100%,Rwanda,12.0,f +33913,,El Salvador,2.0,f +25351,100%,Fiji,6.0,f +26219,100%,Zimbabwe,2.0,f +42673,100%,Somalia,1.0,t +26370,100%,,4.0,t +33275,83%,Netherlands,1.0,f +37226,50%,Jersey,1.0,f +31145,100%,Gambia,1.0,f +17271,100%,Brazil,1.0,t +19617,67%,Somalia,1.0,f +37735,100%,Uganda,13.0,t +38335,79%,Guinea,11.0,f +4316,100%,Micronesia,18.0,f +38335,79%,Guinea,11.0,f +23078,100%,Ukraine,8.0,f +25087,100%,,1.0,f +48646,,,1.0,t +31470,100%,Malta,2.0,f +25715,100%,Vanuatu,1.0,f +10855,100%,Niue,6.0,f +6592,100%,Togo,1.0,f +41008,100%,Venezuela,6.0,f +4252,100%,,1.0,f +28828,100%,Isle of Man,198.0,t +45955,100%,Senegal,1.0,f +11847,71%,Sao Tome and Principe,1.0,t +14201,75%,Turkmenistan,1.0,f +21685,100%,Sao Tome and Principe,1.0,f +1533,100%,Cocos (Keeling) Islands,2.0,f +38264,88%,Russian Federation,4.0,f +45598,83%,China,17.0,f +5884,100%,,1.0,f +4079,87%,Iran,5.0,t +35203,100%,Netherlands,1.0,f +39075,,Zimbabwe,1.0,f +45972,,,1.0,t +34042,100%,Marshall Islands,37.0,f +8207,60%,Saint Helena,2.0,f +41153,100%,Guinea,9.0,f +2900,91%,El Salvador,2.0,f +678,100%,Isle of Man,2.0,t +9113,100%,Denmark,1.0,f +29020,,,1.0,f +36489,100%,Nauru,1.0,f +25585,100%,Venezuela,2.0,t +10051,,Ukraine,3.0,f +18593,,Rwanda,1.0,t +45568,50%,Slovakia (Slovak Republic),1.0,f +37759,,Suriname,1.0,f +22946,100%,,1.0,f +37368,100%,Niger,1.0,f +3367,,Faroe Islands,1.0,f +41153,100%,Guinea,9.0,f +25814,100%,,1.0,f +16295,96%,Philippines,5.0,f +10004,90%,Marshall Islands,3.0,t +9741,99%,Cape Verde,8.0,f +49710,100%,,1.0,f +4822,,Lebanon,1.0,f +39183,75%,,1.0,f +10964,100%,Tonga,5.0,t +11647,,Chad,1.0,f +15176,,Vanuatu,10.0,f +10238,100%,French Polynesia,2.0,f +40793,100%,,75.0,t +45899,93%,,1.0,f +7956,100%,Malta,1.0,f +1071,,Guinea,1.0,f +4936,91%,Philippines,27.0,f +43168,100%,Niue,1.0,f +32935,,Ghana,40.0,f +14331,100%,Estonia,3.0,t +6625,100%,Mauritania,1.0,f +45468,100%,,4.0,f +4936,91%,Philippines,27.0,f +28427,100%,Russian Federation,1.0,f +36637,,China,11.0,f +37677,,French Guiana,1.0,t +25983,,Niue,2.0,f +22392,100%,,2.0,f +4936,91%,Philippines,27.0,f +11091,100%,Serbia,3.0,t +30475,92%,Vietnam,40.0,f +7742,,,1.0,f +7852,100%,Faroe Islands,1.0,f +26645,100%,Venezuela,2.0,f +29647,100%,Peru,1305.0,f +37751,100%,Russian Federation,1.0,f +2585,100%,Svalbard & Jan Mayen Islands,20.0,t +7099,,Anguilla,1.0,f +5420,100%,Tonga,41.0,f +48117,98%,Ukraine,41.0,f +17559,100%,Uruguay,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +11091,100%,Serbia,3.0,t +40421,96%,Jersey,29.0,t +37715,,Guinea,1.0,t +49261,100%,,5.0,f +15279,,Afghanistan,22.0,t +19735,100%,Togo,7.0,f +49261,100%,,5.0,f +39120,,Malta,1.0,t +49261,100%,,5.0,f +34648,100%,,2.0,f +49261,100%,,5.0,f +49261,100%,,5.0,f +13060,100%,Montserrat,2.0,f +37047,97%,United Kingdom,5.0,f +30816,100%,Uzbekistan,1.0,f +41484,89%,Anguilla,23.0,f +49206,100%,Sao Tome and Principe,1.0,f +3702,100%,Maldives,1.0,f +19228,100%,Svalbard & Jan Mayen Islands,8.0,f +19759,86%,Cocos (Keeling) Islands,1.0,f +35501,,Philippines,1.0,t +32556,90%,Estonia,11.0,t +22123,100%,Holy See (Vatican City State),1.0,f +38013,100%,,1.0,f +37672,100%,United Kingdom,1.0,f +11486,100%,El Salvador,2.0,f +35900,100%,Russian Federation,1.0,f +13131,,Rwanda,1.0,f +16615,100%,Chad,1.0,f +44800,100%,Reunion,1.0,f +29371,83%,Nicaragua,1.0,f +5473,100%,Niger,1.0,f +14788,100%,,1.0,f +697,100%,,1.0,f +29699,90%,Zimbabwe,1.0,f +31158,99%,Suriname,11.0,f +40848,100%,Niue,3.0,f +31158,99%,Suriname,11.0,f +45803,50%,Kiribati,1.0,f +32570,,Guinea,4.0,t +21446,100%,,2.0,f +37332,92%,United Kingdom,1.0,f +41008,100%,Venezuela,6.0,f +45237,,Sao Tome and Principe,1.0,f +17242,,Nicaragua,1.0,f +17273,100%,Gambia,1.0,f +18484,100%,Gambia,108.0,f +25302,,Lebanon,2.0,f +48117,98%,Ukraine,41.0,f +18077,100%,Sao Tome and Principe,139.0,f +450,0%,,1.0,f +7642,100%,El Salvador,1.0,f +20412,100%,Jersey,1.0,t +32430,,Maldives,1.0,f +30882,100%,,1.0,f +16406,100%,Bouvet Island (Bouvetoya),16.0,f +41630,100%,Kiribati,24.0,f +774,89%,,1.0,f +43919,100%,Ghana,1.0,f +27332,,Russian Federation,1.0,t +32203,100%,Barbados,176.0,f +40896,,Sao Tome and Principe,1.0,f +18197,86%,Maldives,5.0,f +46077,100%,,1.0,f +13483,100%,United Kingdom,1.0,t +2844,98%,Marshall Islands,12.0,f +18197,86%,Maldives,5.0,f +34604,96%,Kenya,18.0,f +18739,89%,Gambia,2.0,t +48117,98%,Ukraine,41.0,f +18743,100%,Faroe Islands,1.0,f +48664,100%,Maldives,2.0,f +10265,100%,Micronesia,3.0,f +10902,100%,Wallis and Futuna,6.0,f +5420,100%,Tonga,41.0,f +17655,,,1.0,f +35323,89%,,1.0,f +18197,86%,Maldives,5.0,f +10265,100%,Micronesia,3.0,f +40058,100%,Reunion,1.0,f +44251,100%,Gibraltar,1.0,f +44297,100%,Kiribati,2.0,f +18105,100%,Gambia,7.0,t +43134,100%,Suriname,6.0,f +43511,100%,Russian Federation,2.0,f +37464,100%,,1.0,f +48664,100%,Maldives,2.0,f +8987,100%,,1.0,t +20334,99%,Niger,171.0,t +40793,100%,,75.0,t +22094,100%,Vietnam,1.0,f +25331,100%,Ecuador,1.0,f +30475,92%,Vietnam,40.0,f +42718,100%,Niue,2.0,f +36353,100%,Chile,2.0,f +34067,,Greenland,3.0,f +34067,,Greenland,3.0,f +9805,,,1.0,f +17982,100%,,2.0,t +30654,100%,,1.0,f +18484,100%,Gambia,108.0,f +30475,92%,Vietnam,40.0,f +42416,97%,Puerto Rico,20.0,f +11150,100%,Isle of Man,1.0,f +21528,86%,Zimbabwe,1.0,f +38182,100%,Kiribati,4.0,f +31826,100%,Guinea,3.0,f +29060,,,2.0,f +22768,50%,,1.0,f +30475,92%,Vietnam,40.0,f +49035,98%,Maldives,6.0,f +34604,96%,Kenya,18.0,f +15253,100%,,1.0,t +14196,76%,Indonesia,4.0,f +31979,100%,Kenya,10.0,f +36637,,China,11.0,f +32535,,El Salvador,1.0,f +18484,100%,Gambia,108.0,f +36637,,China,11.0,f +46140,,Somalia,1.0,f +34572,100%,Saint Helena,1.0,f +23923,100%,,1.0,f +26285,94%,Senegal,9.0,f +46162,100%,Nicaragua,1.0,f +35126,,French Guiana,1.0,f +34193,100%,Cuba,1.0,f +14196,76%,Indonesia,4.0,f +3790,100%,Netherlands,16.0,f +37704,96%,Fiji,26.0,f +45321,100%,Brazil,2.0,f +18077,100%,Sao Tome and Principe,139.0,f +36637,,China,11.0,f +10825,96%,Somalia,1.0,f +26285,94%,Senegal,9.0,f +14196,76%,Indonesia,4.0,f +49987,100%,,19.0,f +33030,100%,Niue,11.0,f +49987,100%,,19.0,f +34219,20%,Zimbabwe,3.0,f +49987,100%,,19.0,f +17443,100%,Croatia,2.0,f +23266,,Lebanon,1.0,f +5125,100%,Russian Federation,2.0,f +7389,95%,,4.0,f +44764,98%,Maldives,16.0,f +34219,20%,Zimbabwe,3.0,f +44764,98%,Maldives,16.0,f +17443,100%,Croatia,2.0,f +7389,95%,,4.0,f +44764,98%,Maldives,16.0,f +7389,95%,,4.0,f +4173,100%,Nicaragua,1.0,t +19735,100%,Togo,7.0,f +24626,100%,Cocos (Keeling) Islands,3.0,f +6404,,,1.0,f +13400,100%,Sao Tome and Principe,1.0,t +7721,100%,,1.0,t +22470,100%,Russian Federation,1.0,f +36952,100%,Greenland,1.0,f +32056,,,2.0,f +43834,99%,Uganda,13.0,f +41484,89%,Anguilla,23.0,f +11296,100%,Micronesia,1.0,f +41484,89%,Anguilla,23.0,f +41484,89%,Anguilla,23.0,f +7520,100%,Ukraine,15.0,t +48751,100%,Philippines,2.0,f +28414,100%,Uzbekistan,22.0,f +18267,100%,Denmark,2.0,t +47912,100%,Tonga,1.0,f +28414,100%,Uzbekistan,22.0,f +8286,,,1.0,f +38793,100%,Svalbard & Jan Mayen Islands,2.0,f +40650,,,8.0,t +14494,100%,Rwanda,3.0,f +28870,,Reunion,2.0,f +23722,100%,Kiribati,1.0,f +33394,100%,Bosnia and Herzegovina,2.0,t +43247,,Togo,1.0,f +49035,98%,Maldives,6.0,f +15707,100%,Vietnam,4.0,f +3309,100%,Marshall Islands,1.0,f +1443,100%,,1.0,f +7428,88%,Sao Tome and Principe,1.0,f +38122,100%,Tonga,1.0,f +20541,100%,,1.0,t +18947,100%,Malta,1.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +25337,100%,Rwanda,2.0,f +39723,100%,,1.0,f +42010,,Gambia,4.0,t +29733,,Russian Federation,15.0,f +414,100%,Uganda,17.0,t +19542,83%,Togo,8.0,f +29733,,Russian Federation,15.0,f +47573,100%,Gambia,1.0,t +29733,,Russian Federation,15.0,f +32106,100%,,2.0,f +29733,,Russian Federation,15.0,f +29733,,Russian Federation,15.0,f +29733,,Russian Federation,15.0,f +29733,,Russian Federation,15.0,f +29733,,Russian Federation,15.0,f +21327,86%,Vietnam,1.0,f +13720,,Bouvet Island (Bouvetoya),3.0,t +36824,100%,Isle of Man,1.0,f +39440,,Sao Tome and Principe,2.0,f +38525,100%,,2.0,f +20186,100%,Georgia,3.0,f +35898,33%,Niue,3.0,t +48156,100%,,1.0,t +36399,100%,Monaco,1.0,f +21550,100%,Denmark,1.0,f +34382,100%,Micronesia,2.0,f +26257,100%,,1.0,f +25757,65%,Estonia,1.0,f +20946,100%,,1.0,f +33576,100%,Fiji,1.0,f +44921,,Wallis and Futuna,3.0,t +37216,,Malawi,2.0,f +431,67%,,2.0,f +46964,,Faroe Islands,1.0,f +22879,95%,Maldives,1.0,f +41574,100%,Niue,1.0,f +30382,,,1.0,f +18783,83%,Maldives,1.0,t +28615,75%,Brazil,1.0,f +11931,,,1.0,f +20526,100%,Ecuador,1.0,t +26408,100%,,1.0,f +29974,100%,,1.0,f +2730,,,1.0,f +43256,,Micronesia,3.0,f +22392,100%,,2.0,f +44689,100%,Venezuela,3.0,f +5591,99%,Indonesia,16.0,t +38856,,,1.0,f +41613,100%,,1.0,f +5255,100%,Micronesia,1.0,f +28114,97%,Bouvet Island (Bouvetoya),16.0,f +10203,100%,El Salvador,1.0,t +40781,100%,Guinea,5.0,f +2278,100%,,1.0,f +23897,100%,Denmark,5.0,f +24841,100%,,1.0,t +17486,100%,Montserrat,4.0,t +6213,100%,Guinea,1.0,f +32419,,Greenland,2.0,f +6489,,,1.0,f +20165,94%,Ukraine,30.0,f +30253,100%,Marshall Islands,1.0,f +32734,96%,,4.0,f +32734,96%,,4.0,f +46723,,,1.0,f +32734,96%,,4.0,f +18697,100%,Rwanda,8.0,f +18697,100%,Rwanda,8.0,f +5685,,Nicaragua,4.0,f +23096,100%,Kiribati,1.0,f +47973,,Ghana,5.0,f +4396,100%,,1.0,f +11611,90%,Micronesia,3.0,f +18756,88%,Philippines,3.0,f +17390,100%,Denmark,1.0,f +37563,,United Kingdom,1.0,f +18756,88%,Philippines,3.0,f +7574,100%,Niger,1.0,f +29785,100%,Bouvet Island (Bouvetoya),1.0,f +24398,0%,,1.0,f +40325,93%,Costa Rica,4.0,f +19026,100%,,1.0,f +36080,,,1.0,f +20965,,Guinea,1.0,f +15279,,Afghanistan,22.0,t +18697,100%,Rwanda,8.0,f +34852,,Niue,10.0,t +12876,100%,,1.0,f +16828,60%,,1.0,f +21649,100%,,1.0,t +22072,100%,Palestinian Territory,2.0,f +27501,,Netherlands,1.0,t +25305,,,1.0,t +16500,100%,France,1.0,f +10710,,Costa Rica,1.0,f +25890,100%,,3.0,f +11169,,Tonga,3.0,t +47990,88%,Venezuela,4.0,f +17472,100%,Holy See (Vatican City State),2.0,t +39684,,Svalbard & Jan Mayen Islands,2.0,f +20213,,Russian Federation,1.0,f +28377,100%,Mauritania,1.0,t +50057,100%,,1.0,f +3231,100%,Christmas Island,1.0,f +21759,100%,Croatia,1.0,t +33895,100%,,1.0,f +36931,100%,Russian Federation,2.0,f +31651,86%,Lebanon,2.0,t +21444,50%,Vanuatu,1.0,f +35230,100%,,2.0,t +34054,100%,,4.0,f +45805,100%,Gibraltar,1.0,t +46871,100%,Palestinian Territory,2.0,f +45560,67%,Nauru,1.0,t +33402,100%,Turkmenistan,1.0,t +6913,100%,,2.0,t +36155,100%,,1.0,f +8793,100%,Cuba,1.0,f +8741,57%,Guinea,1.0,f +35596,,,1.0,t +4213,,Greenland,1.0,f +19735,100%,Togo,7.0,f +27757,100%,Uzbekistan,2.0,f +6239,100%,,3.0,f +48550,,Brazil,1.0,f +44945,90%,Marshall Islands,4.0,t +4151,100%,Palestinian Territory,1.0,t +34397,100%,Faroe Islands,1.0,f +48372,100%,Barbados,12.0,t +9658,100%,,1.0,f +38562,,Isle of Man,1.0,f +31179,,,1.0,f +3239,,,1.0,f +12667,100%,,1.0,f +13732,100%,Maldives,1.0,f +37671,,Barbados,1.0,f +32991,100%,Mauritania,2.0,t +29171,100%,Mauritania,1.0,f +3327,100%,Uruguay,1.0,f +34643,,Montserrat,1.0,f +27482,100%,Brazil,1.0,t +32709,100%,,1.0,f +42174,,Faroe Islands,1.0,f +29536,,Guinea,1.0,t +32650,100%,,2.0,f +28447,100%,Zimbabwe,1.0,f +32022,100%,Zimbabwe,1.0,t +15778,100%,China,1.0,f +8041,96%,Bouvet Island (Bouvetoya),2.0,f +19920,100%,,1.0,f +5816,,Rwanda,4.0,f +47038,100%,,1.0,t +31629,63%,,2.0,f +43659,98%,Maldives,14.0,f +7258,100%,Brazil,2.0,t +42193,100%,,1.0,t +19636,,Guernsey,2.0,f +23087,100%,Sao Tome and Principe,1.0,f +31158,99%,Suriname,11.0,f +7326,100%,Kiribati,3.0,t +31147,100%,,1.0,f +32547,100%,Brazil,1.0,f +49414,100%,Tanzania,1.0,f +22492,60%,Kiribati,2.0,f +38046,100%,Rwanda,1.0,f +49150,100%,United Kingdom,2.0,t +38647,100%,Maldives,1.0,f +28765,100%,,1.0,f +37895,,Anguilla,1.0,f +22381,100%,,1.0,f +26959,100%,Fiji,2.0,f +30312,,,1.0,f +23021,,Anguilla,1.0,f +4654,100%,Cape Verde,3.0,f +28779,100%,Portugal,1.0,f +28782,,,1.0,f +34662,100%,,1.0,f +2439,,Bouvet Island (Bouvetoya),1.0,f +26602,100%,France,1.0,f +5399,100%,Suriname,2.0,f +32991,100%,Mauritania,2.0,t +27187,,,1.0,t +35281,33%,,2.0,f +1532,100%,Wallis and Futuna,2.0,t +19655,100%,Tonga,13.0,t +48983,100%,Sao Tome and Principe,2.0,f +8439,97%,Rwanda,17.0,t +19655,100%,Tonga,13.0,t +47335,78%,Guernsey,15.0,f +28486,100%,Uzbekistan,1.0,f +47335,78%,Guernsey,15.0,f +12812,99%,Croatia,32.0,f +47335,78%,Guernsey,15.0,f +12812,99%,Croatia,32.0,f +12812,99%,Croatia,32.0,f +5041,100%,Chile,7.0,f +11814,100%,Micronesia,7.0,t +3643,100%,,3.0,f +12812,99%,Croatia,32.0,f +27025,100%,Reunion,1.0,f +36476,100%,Saint Helena,1.0,f +24021,100%,Venezuela,1.0,f +46796,100%,,3.0,f +47967,100%,Uzbekistan,2.0,t +18570,,,1.0,f +33817,100%,Gibraltar,62.0,f +45498,100%,Indonesia,4.0,t +35799,,Netherlands,7.0,f +10216,,Lebanon,1.0,f +25002,,China,12.0,f +44398,100%,Niue,2.0,f +26616,100%,Isle of Man,10.0,f +546,100%,Uganda,4.0,f +12886,100%,Marshall Islands,2.0,f +33342,,Nicaragua,1.0,f +30945,,Niue,1.0,f +25187,100%,,1.0,f +19348,100%,Marshall Islands,1.0,f +13941,,Turks and Caicos Islands,1.0,t +18197,86%,Maldives,5.0,f +10956,,Lebanon,2.0,f +43537,50%,Costa Rica,1.0,t +10792,100%,Afghanistan,1.0,f +10992,,Togo,2.0,t +45566,100%,,1.0,f +21372,100%,Niue,1.0,t +13479,100%,,5.0,f +23062,100%,Saint Helena,1.0,t +18077,100%,Sao Tome and Principe,139.0,f +3218,100%,Zimbabwe,6.0,f +546,100%,Uganda,4.0,f +49766,60%,Ghana,2.0,f +15195,100%,Svalbard & Jan Mayen Islands,3.0,t +5886,94%,Fiji,25.0,t +19735,100%,Togo,7.0,f +37292,100%,,3.0,f +46943,94%,Peru,2.0,f +31210,100%,Cape Verde,1.0,t +22128,100%,Malta,1.0,f +4399,,Guinea,2.0,t +8616,53%,Canada,4.0,t +21877,100%,Cook Islands,7.0,f +49421,100%,Slovenia,1.0,f +30263,100%,,2.0,f +46943,94%,Peru,2.0,f +611,86%,Montserrat,7.0,f +24053,,Afghanistan,1.0,f +19190,67%,Isle of Man,1.0,f +22611,100%,Sao Tome and Principe,1.0,f +27559,,,1.0,f +47064,,Zimbabwe,1.0,t +45260,94%,,19.0,f +45598,83%,China,17.0,f +26342,,Togo,1.0,f +5886,94%,Fiji,25.0,t +46708,100%,,1.0,f +4217,,Kenya,52.0,f +32620,100%,Gambia,5.0,f +32620,100%,Gambia,5.0,f +11710,100%,Guinea,2.0,f +2733,,Chad,1.0,f +16331,100%,,1.0,f +1723,,Kenya,1.0,f +19779,85%,Gambia,1.0,f +40910,100%,France,2.0,f +32817,100%,Russian Federation,1.0,t +46407,71%,Rwanda,3.0,f +44027,,Uganda,2.0,f +32598,,Vietnam,1.0,f +46407,71%,Rwanda,3.0,f +23034,99%,Monaco,54.0,f +1955,100%,Monaco,4.0,f +5999,100%,Denmark,2.0,t +41484,89%,Anguilla,23.0,f +48107,100%,Uganda,1.0,f +34604,96%,Kenya,18.0,f +27383,,,1.0,f +30263,100%,,2.0,f +315,100%,,1.0,f +31157,86%,Bosnia and Herzegovina,1.0,f +38501,94%,Uzbekistan,2.0,f +48480,,Nicaragua,1.0,f +3199,100%,,1.0,f +20255,100%,Guinea,3.0,f +34488,100%,Faroe Islands,1.0,f +23946,100%,,2.0,f +44363,100%,Turks and Caicos Islands,1.0,f +11013,100%,,1.0,f +47973,,Ghana,5.0,f +1434,100%,Sao Tome and Principe,1.0,f +37398,100%,Ghana,3.0,f +49398,88%,Barbados,18.0,t +414,100%,Uganda,17.0,t +11578,100%,Brazil,1.0,f +42963,100%,Venezuela,1.0,f +37398,100%,Ghana,3.0,f +5225,100%,Bosnia and Herzegovina,1.0,f +37537,100%,,2.0,t +37293,92%,Russian Federation,15.0,f +39682,100%,Uganda,1.0,t +35799,,Netherlands,7.0,f +414,100%,Uganda,17.0,t +45090,100%,,1.0,f +33691,100%,Chad,1.0,f +7968,100%,,1.0,t +40825,,Andorra,1.0,f +26762,71%,Maldives,1.0,t +24512,100%,Kenya,1.0,t +14070,100%,,2.0,f +16649,100%,Gibraltar,8.0,f +19217,98%,Marshall Islands,46.0,f +44788,92%,,1.0,f +48486,100%,,1.0,f +47005,,Lithuania,1.0,t +36408,100%,Nauru,5.0,f +37462,100%,Jersey,1.0,f +24484,100%,Cocos (Keeling) Islands,1.0,f +40745,,,3.0,f +32735,100%,,2.0,f +40745,,,3.0,f +42203,100%,Afghanistan,1.0,t +105,100%,,1.0,t +32814,100%,Zimbabwe,2.0,f +23778,,French Guiana,1.0,f +4288,,Uruguay,1.0,f +43799,100%,Nicaragua,2.0,f +11769,100%,,1.0,f +21180,,Mexico,1.0,t +42801,100%,,1.0,t +36328,,China,3.0,f +25131,100%,Libyan Arab Jamahiriya,1.0,f +40893,100%,Nauru,3.0,f +15046,,Jersey,1.0,f +27640,100%,Isle of Man,1.0,f +32106,100%,,2.0,f +31134,100%,Maldives,2.0,t +7979,100%,,109.0,f +36902,100%,Russian Federation,1.0,f +2878,93%,Bosnia and Herzegovina,3.0,t +45929,96%,Uganda,3.0,f +5095,,Zimbabwe,1.0,f +7657,0%,Marshall Islands,1.0,f +37201,,Zimbabwe,1.0,f +21881,100%,Puerto Rico,2.0,f +41153,100%,Guinea,9.0,f +4912,100%,Pakistan,2.0,f +44508,,Libyan Arab Jamahiriya,1.0,f +35575,,Marshall Islands,1.0,t +37167,,Nicaragua,2.0,f +15675,100%,Isle of Man,1.0,t +38406,96%,Russian Federation,6.0,t +31913,100%,China,1.0,t +1709,100%,Tonga,2.0,f +48409,,Estonia,60.0,t +48409,,Estonia,60.0,t +7198,100%,Isle of Man,4.0,f +18858,100%,Kenya,1.0,t +47305,100%,Maldives,1.0,t +25528,100%,Svalbard & Jan Mayen Islands,1.0,f +5886,94%,Fiji,25.0,t +43316,100%,Indonesia,23.0,f +43152,100%,Nicaragua,82.0,t +5420,100%,Tonga,41.0,f +49398,88%,Barbados,18.0,t +26967,100%,,1.0,f +31489,,Brazil,1.0,f +30256,100%,Monaco,1.0,f +23677,,,6.0,f +17654,,Nauru,3.0,f +5886,94%,Fiji,25.0,t +48085,100%,Andorra,1.0,f +4217,,Kenya,52.0,f +48117,98%,Ukraine,41.0,f +5886,94%,Fiji,25.0,t +32278,,Togo,1.0,f +16728,100%,,3.0,t +17654,,Nauru,3.0,f +5886,94%,Fiji,25.0,t +11054,100%,Svalbard & Jan Mayen Islands,1.0,f +5886,94%,Fiji,25.0,t +8091,97%,Cuba,10.0,f +22107,100%,,1.0,f +22871,,,1.0,f +5886,94%,Fiji,25.0,t +30879,,United Kingdom,1.0,f +17259,100%,Guinea,2.0,f +3359,17%,Isle of Man,1.0,f +15262,86%,Papua New Guinea,1.0,f +25476,100%,Fiji,11.0,f +5015,100%,Pakistan,2.0,f +25393,,Tanzania,1.0,f +19879,99%,Guinea,19.0,f +4217,,Kenya,52.0,f +18484,100%,Gambia,108.0,f +27755,100%,France,1.0,f +7541,100%,Senegal,1.0,f +45436,100%,Tonga,2.0,f +2306,100%,French Guiana,1.0,f +29647,100%,Peru,1305.0,f +29346,100%,El Salvador,1.0,f +30975,100%,France,1.0,t +5084,100%,Congo,1.0,f +7198,100%,Isle of Man,4.0,f +48260,,Bouvet Island (Bouvetoya),1.0,f +13556,100%,Uzbekistan,1.0,f +7119,100%,Bosnia and Herzegovina,1.0,t +1955,100%,Monaco,4.0,f +13641,85%,Mauritania,23.0,f +34354,100%,,1.0,t +26700,,Niue,6.0,f +13152,100%,Russian Federation,2.0,f +37986,,,1.0,f +39484,100%,Gambia,1.0,f +34223,,,4.0,f +1955,100%,Monaco,4.0,f +16031,100%,,1.0,t +33934,100%,Wallis and Futuna,1.0,f +31667,100%,Croatia,1.0,f +19542,83%,Togo,8.0,f +20508,,Gambia,1.0,t +33908,100%,Tonga,1.0,f +33874,,Kenya,2.0,t +19542,83%,Togo,8.0,f +40298,100%,,2.0,f +8409,98%,Maldives,9.0,f +42370,100%,Marshall Islands,6.0,f +19542,83%,Togo,8.0,f +40793,100%,,75.0,t +19542,83%,Togo,8.0,f +45088,100%,Reunion,9.0,f +32705,100%,Turkmenistan,3.0,f +37499,100%,French Guiana,4.0,t +987,,China,1.0,f +4429,100%,Faroe Islands,1.0,f +11387,100%,Uganda,2.0,f +31216,100%,Togo,1.0,t +13479,100%,,5.0,f +19542,83%,Togo,8.0,f +38051,,Somalia,1.0,t +19542,83%,Togo,8.0,f +19542,83%,Togo,8.0,f +40793,100%,,75.0,t +12484,,United Kingdom,1.0,f +29636,100%,Cocos (Keeling) Islands,5.0,f +14635,,Monaco,1.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +12685,95%,,3.0,t +19217,98%,Marshall Islands,46.0,f +44067,100%,,1.0,f +30751,,,1.0,f +10711,93%,Uganda,108.0,t +40250,100%,Palau,5.0,f +37288,,Pakistan,2.0,t +13740,,Micronesia,1.0,f +1099,70%,,1.0,f +25471,83%,,1.0,f +32620,100%,Gambia,5.0,f +27274,,,1.0,f +43848,,Indonesia,1.0,f +47634,100%,,1.0,f +20090,,Vanuatu,1.0,f +38369,100%,,1.0,f +49928,,Sao Tome and Principe,1.0,f +33397,100%,Nicaragua,1.0,f +46500,99%,Pakistan,73.0,f +29480,100%,French Polynesia,6.0,f +19236,100%,,1.0,f +9109,100%,Svalbard & Jan Mayen Islands,1.0,f +24971,,,4.0,f +24220,,,1.0,t +44971,100%,Isle of Man,1.0,f +47898,100%,Greenland,2.0,f +7979,100%,,109.0,f +49087,,,1.0,f +16514,100%,Puerto Rico,4.0,f +13306,,,1.0,f +29636,100%,Cocos (Keeling) Islands,5.0,f +13845,,Ghana,1.0,t +32924,100%,Cocos (Keeling) Islands,1.0,f +31873,99%,Uzbekistan,22.0,f +48800,100%,Maldives,1.0,t +7979,100%,,109.0,f +16514,100%,Puerto Rico,4.0,f +10927,100%,Gambia,2.0,t +13710,100%,Christmas Island,3.0,f +13919,100%,Uzbekistan,1.0,t +34187,100%,,1.0,f +16514,100%,Puerto Rico,4.0,f +36572,,Estonia,1.0,t +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +49035,98%,Maldives,6.0,f +25535,100%,,1.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +7979,100%,,109.0,f +16947,,Chile,2.0,f +15573,,Niue,1.0,f +20279,100%,,1.0,t +31657,,,1.0,f +42955,100%,Kenya,1.0,f +17436,50%,,1.0,f +12748,,,1.0,t +26526,94%,Tonga,8.0,f +33817,100%,Gibraltar,62.0,f +4419,,Pakistan,1.0,f +5663,,Russian Federation,8.0,t +23398,,Bosnia and Herzegovina,1.0,f +43062,100%,,2.0,t +5277,100%,Vietnam,10.0,f +2263,100%,Guinea,1.0,f +18168,95%,Ecuador,3.0,f +32341,70%,Russian Federation,5.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +29647,100%,Peru,1305.0,f +25930,100%,Kiribati,1.0,t +23532,,Fiji,1.0,f +47990,88%,Venezuela,4.0,f +18484,100%,Gambia,108.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +1593,,Djibouti,1.0,f +31707,100%,Niger,48.0,f +20896,,Kenya,1.0,f +24867,90%,Bosnia and Herzegovina,5.0,f +40557,100%,Kenya,2.0,f +32676,100%,China,34.0,f +35883,,,1.0,t +335,90%,Chad,1.0,f +40022,,,3.0,t +32684,,Kiribati,1.0,f +38235,80%,Kiribati,3.0,t +30332,100%,Ecuador,2.0,f +22935,,United States of America,2.0,t +32676,100%,China,34.0,f +28241,97%,Maldives,10.0,f +18537,,Nauru,1.0,f +37429,0%,Russian Federation,1.0,t +26545,100%,,1.0,t +22487,100%,Kenya,1.0,f +24626,100%,Cocos (Keeling) Islands,3.0,f +6568,,Australia,1.0,f +42513,,Niger,1.0,f +15245,100%,,11.0,f +44114,92%,,5.0,f +17795,100%,Uzbekistan,11.0,t +16638,90%,Bahrain,2.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +24595,100%,Guinea,3.0,t +41557,100%,Niger,2.0,f +44586,85%,Ukraine,13.0,f +46795,100%,Indonesia,1.0,f +12097,,Guernsey,1.0,f +47990,88%,Venezuela,4.0,f +43316,100%,Indonesia,23.0,f +33817,100%,Gibraltar,62.0,f +24740,,Anguilla,1.0,f +41251,,Turks and Caicos Islands,1.0,f +41484,89%,Anguilla,23.0,f +971,,Kenya,1.0,f +47813,50%,Niue,1.0,f +33187,,Lebanon,1.0,t +28785,100%,Lebanon,1.0,f +28477,100%,Guinea,2.0,t +37001,,Bosnia and Herzegovina,1.0,f +44065,,Kenya,1.0,f +29960,100%,Indonesia,1.0,t +19958,100%,Congo,40.0,t +2870,,,1.0,t +22874,,,1.0,f +1493,,Cape Verde,1.0,f +32676,100%,China,34.0,f +45553,90%,Brazil,16.0,t +18697,100%,Rwanda,8.0,f +13070,100%,Fiji,45.0,f +24709,,,1.0,t +26285,94%,Senegal,9.0,f +49233,100%,Andorra,3.0,f +9361,,French Guiana,1.0,f +12151,100%,,1.0,f +13070,100%,Fiji,45.0,f +29716,,Gibraltar,1.0,f +32831,,Ghana,1.0,f +5003,100%,Jersey,8.0,f +32676,100%,China,34.0,f +14254,100%,Nicaragua,4.0,f +21605,83%,Nicaragua,6.0,f +32734,96%,,4.0,f +19897,100%,Monaco,1.0,f +49377,,Sao Tome and Principe,1.0,f +356,99%,Wallis and Futuna,32.0,t +25460,100%,Maldives,13.0,f +34395,,Chile,1.0,f +40793,100%,,75.0,t +24370,90%,Zimbabwe,3.0,f +14505,,Sao Tome and Principe,2.0,t +32676,100%,China,34.0,f +22594,100%,Rwanda,12.0,f +47313,80%,Costa Rica,4.0,f +34838,,Tanzania,1.0,f +45636,100%,Reunion,2.0,f +32676,100%,China,34.0,f +13890,,Kiribati,13.0,f +33016,89%,Cape Verde,1.0,f +23823,100%,China,3.0,t +24359,100%,Sao Tome and Principe,1.0,t +11973,100%,Niue,7.0,t +21127,,Moldova,5.0,f +26129,,Russian Federation,1.0,f +21605,83%,Nicaragua,6.0,f +30860,,Denmark,1.0,f +7467,,Cape Verde,2.0,f +42967,100%,Zimbabwe,1.0,t +48177,100%,Monaco,1.0,f +47135,,,1.0,f +24161,95%,,2.0,f +27103,100%,Russian Federation,1.0,f +48170,67%,French Polynesia,2.0,f +13890,,Kiribati,13.0,f +11710,100%,Guinea,2.0,f +25392,,Micronesia,1.0,f +7111,,Niue,1.0,f +14249,,Netherlands,1.0,f +48681,75%,,2.0,f +37668,94%,Switzerland,3.0,f +45552,93%,Nicaragua,12.0,t +45552,93%,Nicaragua,12.0,t +45552,93%,Nicaragua,12.0,t +36962,50%,Marshall Islands,1.0,f +40309,,Estonia,1.0,f +19096,100%,Somalia,1.0,f +31158,99%,Suriname,11.0,f +20783,,,1.0,f +3355,78%,Faroe Islands,2.0,t +11792,100%,,3.0,f +4961,,Svalbard & Jan Mayen Islands,1.0,f +33793,100%,Russian Federation,2.0,f +44416,91%,Kenya,2.0,f +32386,97%,Indonesia,19.0,f +16268,,,10.0,f +108,100%,Togo,1.0,f +32386,97%,Indonesia,19.0,f +37324,,Cook Islands,1.0,f +32386,97%,Indonesia,19.0,f +32386,97%,Indonesia,19.0,f +25995,,Gambia,1.0,f +15764,100%,,1.0,t +46669,86%,Brazil,11.0,f +28369,90%,Sao Tome and Principe,9.0,f +19582,,,1.0,f +32851,,Anguilla,1.0,f +42904,70%,Russian Federation,2.0,t +15826,100%,Isle of Man,1.0,t +10488,100%,Niger,17.0,t +14196,76%,Indonesia,4.0,f +35353,,Isle of Man,1.0,t +29636,100%,Cocos (Keeling) Islands,5.0,f +29764,100%,Kenya,1.0,f +9369,,Monaco,1.0,f +40707,100%,Sao Tome and Principe,1.0,t +15532,,Estonia,2.0,f +15346,67%,,1.0,t +20755,,Micronesia,1.0,f +16489,100%,Russian Federation,42.0,t +19415,100%,France,2.0,f +16489,100%,Russian Federation,42.0,t +48869,100%,Slovakia (Slovak Republic),22.0,f +29818,100%,Croatia,2.0,f +15532,,Estonia,2.0,f +5561,100%,,2.0,f +24971,,,4.0,f +45598,83%,China,17.0,f +35755,100%,Zimbabwe,1.0,f +7436,,,1.0,t +20423,67%,Philippines,3.0,f +32372,90%,Ghana,5.0,f +38114,94%,Uzbekistan,19.0,f +25209,,,2.0,t +33817,100%,Gibraltar,62.0,f +18603,,Faroe Islands,3.0,f +13890,,Kiribati,13.0,f +29761,,United Kingdom,1.0,f +34840,,Russian Federation,1.0,f +3819,100%,,1.0,t +27387,96%,Tonga,5.0,f +18026,75%,,1.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +34465,,Estonia,2.0,f +4055,,Ukraine,1.0,f +11948,,Sao Tome and Principe,1.0,f +35140,88%,Nicaragua,1.0,t +13127,100%,Niger,22.0,f +20750,75%,Anguilla,1.0,f +21452,99%,Lebanon,29.0,f +42921,100%,Chile,3.0,f +20123,100%,Indonesia,1.0,f +20472,100%,Monaco,1.0,f +45498,100%,Indonesia,4.0,t +3921,98%,,14.0,f +34810,80%,,1.0,f +32455,100%,Guinea,2.0,t +25830,100%,,1.0,f +21919,,Ukraine,1.0,f +19943,63%,Isle of Man,34.0,f +19943,63%,Isle of Man,34.0,f +45088,100%,Reunion,9.0,f +47375,100%,Lebanon,1.0,f +13387,,Kiribati,1.0,f +7602,100%,,1.0,f +41580,100%,Turkmenistan,1.0,f +14899,100%,Zimbabwe,3.0,t +38398,91%,,1.0,f +6203,,Vietnam,1.0,f +4855,,Zimbabwe,2.0,f +7156,,Christmas Island,1.0,f +27659,100%,Turks and Caicos Islands,3.0,f +28194,100%,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +18077,100%,Sao Tome and Principe,139.0,f +30625,100%,Isle of Man,2.0,t +46430,,Jersey,1.0,f +1663,,Mauritania,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +5701,100%,Costa Rica,1.0,t +30640,,,1.0,t +17114,100%,France,2.0,t +18697,100%,Rwanda,8.0,f +18581,98%,Tonga,3.0,f +1612,,Micronesia,1.0,t +38522,100%,Sao Tome and Principe,9.0,f +816,,Cook Islands,1.0,f +36520,,Maldives,1.0,f +33404,,Ukraine,1.0,f +15847,,Uganda,13.0,f +7009,100%,Isle of Man,9.0,f +36628,100%,Brazil,1.0,f +41630,100%,Kiribati,24.0,f +43046,,Denmark,1.0,f +38125,,,1.0,f +23945,100%,Guinea,1.0,f +16432,100%,,2.0,t +41630,100%,Kiribati,24.0,f +15085,100%,Zimbabwe,1.0,f +41630,100%,Kiribati,24.0,f +35944,,,2.0,f +4330,94%,Ukraine,60.0,t +47353,94%,Niue,20.0,f +4577,,Faroe Islands,1.0,f +3614,,Isle of Man,1.0,f +48774,,Jersey,1.0,f +13519,,Gibraltar,1.0,f +22256,,Anguilla,1.0,f +13700,100%,Isle of Man,8.0,f +696,,,1.0,f +21493,,Uzbekistan,6.0,f +46222,100%,Isle of Man,1.0,f +29814,100%,,5.0,f +20822,,Bouvet Island (Bouvetoya),1.0,f +26658,100%,,1.0,f +13700,100%,Isle of Man,8.0,f +34440,,Niue,1.0,f +13038,,,1.0,t +33056,,Micronesia,1.0,f +16660,100%,,1.0,f +23000,90%,,4.0,f +8271,,,1.0,f +23968,,Nauru,2.0,f +32787,100%,Uzbekistan,2.0,t +29588,100%,,3.0,f +23605,100%,Guinea,2.0,f +24270,100%,,1.0,t +13728,100%,Pakistan,1.0,f +19299,100%,,1.0,f +3407,,Indonesia,1.0,f +18356,,Bouvet Island (Bouvetoya),1.0,f +23580,60%,,1.0,f +8282,100%,Guinea,2.0,t +27379,,Chad,1.0,f +26302,,Gambia,2.0,f +356,99%,Wallis and Futuna,32.0,t +3338,,Togo,1.0,f +3643,100%,,3.0,f +33162,,France,1.0,f +11886,100%,,1.0,f +23628,100%,,1.0,t +27444,,Guinea,2.0,t +39138,,Ghana,1.0,f +29737,100%,,1.0,f +25601,,Bosnia and Herzegovina,1.0,f +47184,,Portugal,1.0,f +2794,100%,Indonesia,3.0,f +27417,,,1.0,t +30347,,Kenya,6.0,f +26256,100%,Estonia,1.0,f +33812,,Russian Federation,1.0,f +21298,100%,Uzbekistan,2.0,f +22674,100%,,3.0,f +22674,100%,,3.0,f +14493,,Zimbabwe,1.0,f +1861,,Mauritania,1.0,f +22305,,Kiribati,3.0,f +46160,,Micronesia,2.0,f +37331,,Bosnia and Herzegovina,1.0,f +1372,,Estonia,1.0,f +44713,100%,French Guiana,1.0,t +22219,100%,Sao Tome and Principe,1.0,f +48760,98%,Ghana,24.0,f +23552,,Turks and Caicos Islands,1.0,f +33030,100%,Niue,11.0,f +10409,100%,Croatia,1.0,f +18338,88%,Ecuador,1.0,t +30347,,Kenya,6.0,f +7639,,Tonga,5.0,f +47023,,Estonia,1.0,f +23467,80%,,4.0,t +29805,,Russian Federation,1.0,f +34214,,Gibraltar,1.0,f +15108,,Gambia,1.0,f +38492,100%,Palestinian Territory,1.0,f +2743,97%,China,23.0,f +39892,100%,Tonga,31.0,t +31729,100%,Portugal,1.0,f +2743,97%,China,23.0,f +17907,,Cocos (Keeling) Islands,1.0,f +20080,,Nicaragua,1.0,f +15665,71%,Bosnia and Herzegovina,1.0,f +1897,,Guinea,1.0,f +20499,,Togo,1.0,f +2743,97%,China,23.0,f +20551,,Chad,1.0,t +41707,,,1.0,f +28766,100%,Estonia,16.0,f +28766,100%,Estonia,16.0,f +10099,,,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +8989,100%,Mauritania,1.0,t +28828,100%,Isle of Man,198.0,t +316,,France,1.0,f +2533,,Lebanon,3.0,f +24982,100%,Svalbard & Jan Mayen Islands,1.0,f +40793,100%,,75.0,t +40772,80%,Estonia,4.0,f +31940,,Congo,1.0,f +28828,100%,Isle of Man,198.0,t +11225,,,1.0,t +42067,,,1.0,f +22411,85%,Niue,1.0,f +31873,99%,Uzbekistan,22.0,f +16428,100%,,2.0,t +27115,100%,Guinea,2.0,f +43052,100%,Faroe Islands,1.0,f +36056,88%,,1.0,f +42785,100%,Costa Rica,3.0,t +23256,100%,,6.0,f +42785,100%,Costa Rica,3.0,t +47990,88%,Venezuela,4.0,f +48059,100%,,1.0,f +6452,100%,Rwanda,2.0,f +21208,100%,Guernsey,1.0,f +49813,67%,Ecuador,1.0,t +33851,100%,,3.0,f +24688,83%,Barbados,7.0,f +41714,100%,Lebanon,1.0,f +38701,40%,Niger,27.0,f +43777,100%,Denmark,18.0,f +43796,100%,Niue,1.0,f +31316,,Malta,1.0,f +7628,100%,,2.0,f +47353,94%,Niue,20.0,f +9151,100%,,1.0,f +19058,100%,Mauritania,1.0,f +42791,100%,Zimbabwe,1.0,f +29656,100%,,1.0,t +48742,100%,Guinea,2.0,f +48417,100%,Djibouti,5.0,f +9791,80%,Rwanda,2.0,t +2878,93%,Bosnia and Herzegovina,3.0,t +24891,33%,Tonga,1.0,f +36755,100%,,2.0,t +31757,,Mauritania,1.0,f +47735,,,1.0,f +2506,,France,1.0,f +645,,Kiribati,2.0,t +16829,,,1.0,f +26133,100%,,2.0,t +39206,100%,Guatemala,3.0,t +9092,,,1.0,f +8409,98%,Maldives,9.0,f +16949,,Uzbekistan,1.0,f +27430,100%,Christmas Island,4.0,t +18547,,,1.0,f +47303,100%,,2.0,f +6276,100%,Zimbabwe,5.0,f +13364,91%,Netherlands,21.0,f +49124,,Marshall Islands,3.0,t +42416,97%,Puerto Rico,20.0,f +42448,,Portugal,1.0,t +34775,50%,Guernsey,1.0,f +36908,100%,Costa Rica,1.0,f +21151,100%,Portugal,5.0,f +3465,80%,Niue,3.0,t +29580,100%,Russian Federation,3.0,f +47303,100%,,2.0,f +3019,100%,Barbados,18.0,f +42846,50%,Philippines,1.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +32451,100%,,1.0,f +48673,100%,,1.0,t +39265,,Sao Tome and Principe,2.0,f +29733,,Russian Federation,15.0,f +41550,,Zimbabwe,1.0,f +19274,100%,Denmark,3.0,f +2261,100%,Uzbekistan,2.0,f +40325,93%,Costa Rica,4.0,f +24967,100%,,3.0,t +3066,,Djibouti,1.0,f +26630,,Fiji,1.0,f +49411,100%,Canada,4.0,f +19335,100%,Lithuania,1.0,f +5615,100%,Guinea,5.0,f +43067,100%,Russian Federation,3.0,f +49384,100%,Slovakia (Slovak Republic),21.0,f +10865,88%,Isle of Man,2.0,t +47262,100%,,1.0,f +46713,100%,Mauritania,1.0,t +41043,100%,Bosnia and Herzegovina,11.0,f +9125,,Ghana,2.0,t +41922,,Slovakia (Slovak Republic),2.0,f +40364,100%,Tonga,25.0,f +13890,,Kiribati,13.0,f +813,100%,Maldives,2.0,t +49384,100%,Slovakia (Slovak Republic),21.0,f +25569,,,1.0,f +49834,,Guinea,1.0,f +10291,,French Guiana,2.0,f +33138,,,1.0,f +643,,,1.0,f +42416,97%,Puerto Rico,20.0,f +31178,,Anguilla,1.0,f +48368,,Slovakia (Slovak Republic),9.0,f +38443,,Malawi,1.0,f +36712,100%,Zimbabwe,1.0,f +24232,,Kiribati,1.0,f +13890,,Kiribati,13.0,f +23472,80%,Gibraltar,1.0,f +33788,,Venezuela,3.0,f +48229,100%,Costa Rica,1.0,f +45765,100%,,1.0,f +6497,100%,Canada,1.0,f +31640,100%,,2.0,f +13890,,Kiribati,13.0,f +14884,,Bosnia and Herzegovina,1.0,f +29819,80%,Brazil,2.0,f +13890,,Kiribati,13.0,f +813,100%,Maldives,2.0,t +3332,67%,Guinea,2.0,f +1968,100%,,1.0,t +47817,100%,Saint Helena,2.0,f +26195,93%,Gambia,8.0,t +22671,,Peru,1.0,f +23997,,Marshall Islands,3.0,t +23997,,Marshall Islands,3.0,t +8743,,Indonesia,1.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +38701,40%,Niger,27.0,f +11707,,,1.0,f +37031,,Kenya,1.0,f +38701,40%,Niger,27.0,f +14161,100%,Montserrat,2.0,f +23640,80%,Gambia,3.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +20555,100%,Tanzania,3.0,t +24971,,,4.0,f +47353,94%,Niue,20.0,f +29127,100%,France,1.0,t +41630,100%,Kiribati,24.0,f +11301,100%,Kiribati,1.0,f +19274,100%,Denmark,3.0,f +17107,,Isle of Man,1.0,f +46996,100%,Tonga,1.0,f +3072,,Vanuatu,1.0,f +14336,,Saint Helena,1.0,f +44353,,Marshall Islands,2.0,f +28783,100%,Cocos (Keeling) Islands,1.0,f +10139,,,1.0,f +41913,,Andorra,1.0,f +26410,76%,,4.0,f +16905,100%,Reunion,3.0,t +45267,,Lebanon,2.0,f +31482,,Papua New Guinea,2.0,t +48878,100%,,1.0,f +16905,100%,Reunion,3.0,t +7571,33%,Kiribati,2.0,f +34723,100%,Peru,12.0,f +1521,,Nicaragua,1.0,f +16905,100%,Reunion,3.0,t +24423,,,1.0,t +34723,100%,Peru,12.0,f +33788,,Venezuela,3.0,f +34723,100%,Peru,12.0,f +49911,,Greenland,1.0,f +34999,,Pakistan,1.0,f +48785,100%,,2.0,t +44857,100%,Zimbabwe,24.0,t +34054,100%,,4.0,f +34783,,,1.0,f +32743,,Kiribati,2.0,f +45387,100%,,1.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +47274,100%,Tonga,48.0,f +41630,100%,Kiribati,24.0,f +41630,100%,Kiribati,24.0,f +41624,,,1.0,f +33634,,Guinea,1.0,f +49784,,Peru,1.0,f +49427,,,1.0,f +44462,100%,Russian Federation,1.0,f +48377,50%,,3.0,f +14146,100%,,1.0,t +38946,,Peru,1.0,f +48549,100%,France,2.0,f +18501,,Chile,1.0,t +14296,,Netherlands,4.0,f +21996,,,1.0,f +14882,,,1.0,f +623,84%,,5.0,f +23836,100%,,2.0,f +29277,100%,France,1.0,f +18840,,Turkmenistan,2.0,f +12846,,Afghanistan,1.0,f +14341,,,1.0,f +48851,100%,,1.0,f +25523,100%,Costa Rica,1.0,f +21691,100%,Kenya,2.0,t +34723,100%,Peru,12.0,f +36700,100%,Lebanon,1.0,f +9378,,,1.0,f +38652,100%,Uzbekistan,9.0,f +6434,100%,Nicaragua,2.0,f +42593,100%,Nicaragua,2.0,f +27242,100%,,1.0,f +37242,100%,Maldives,1.0,f +42511,,France,1.0,f +3563,,Malta,1.0,f +13161,,,1.0,t +14131,90%,Niue,2.0,t +42909,100%,Peru,2.0,f +11687,100%,Tanzania,2.0,f +17891,100%,Nicaragua,5.0,t +12435,60%,Marshall Islands,1.0,f +13247,,El Salvador,2.0,f +48869,100%,Slovakia (Slovak Republic),22.0,f +42776,100%,,1.0,f +15140,100%,Isle of Man,2.0,f +31427,,,1.0,t +45473,100%,,2.0,t +27032,100%,Marshall Islands,2.0,t +29233,100%,French Guiana,1.0,f +18749,100%,Costa Rica,2.0,f +14550,89%,Turks and Caicos Islands,1.0,t +49814,,Anguilla,1.0,f +36059,,Sao Tome and Principe,1.0,f +31027,,Cuba,1.0,f +10836,,Croatia,1.0,t +5277,100%,Vietnam,10.0,f +31798,,Zimbabwe,1.0,f +14496,,Isle of Man,1.0,t +33788,,Venezuela,3.0,f +44088,,Costa Rica,2.0,f +42843,100%,,1.0,f +48056,,Slovenia,1.0,t +46699,,French Guiana,1.0,t +40689,100%,Cuba,23.0,f +13710,100%,Christmas Island,3.0,f +31646,,,1.0,f +6914,100%,,1.0,f +18758,,Russian Federation,1.0,t +25579,,Turkmenistan,1.0,f +39341,,,1.0,t +25762,,,1.0,f +34744,,French Guiana,1.0,f +2878,93%,Bosnia and Herzegovina,3.0,t +23261,86%,Jersey,2.0,f +38701,40%,Niger,27.0,f +34351,100%,Greenland,2.0,f +11654,,Kiribati,1.0,t +43788,100%,,2.0,f +20428,100%,Cocos (Keeling) Islands,2.0,f +32467,100%,Lithuania,3.0,t +43604,100%,Senegal,1.0,f +18252,,Anguilla,1.0,f +47559,,Bosnia and Herzegovina,1.0,f +5630,100%,Tonga,1.0,f +13246,100%,,1.0,f +40370,100%,Zimbabwe,3.0,f +41267,100%,Micronesia,2.0,t +22596,90%,Russian Federation,8.0,f +47171,,,1.0,f +45064,98%,Anguilla,15.0,f +35102,,Maldives,1.0,t +48589,,,1.0,f +29722,100%,Bouvet Island (Bouvetoya),2.0,f +17891,100%,Nicaragua,5.0,t +37352,100%,Mauritania,2.0,f +10536,,Nauru,1.0,f +13641,85%,Mauritania,23.0,f +33675,,Indonesia,1.0,t +1921,,,1.0,f +26107,100%,Niue,3.0,f +14669,100%,Australia,4.0,f +9956,,Pakistan,1.0,f +4254,,Micronesia,1.0,f +37235,100%,Monaco,1.0,t +4280,,Ghana,1.0,f +17182,100%,Niue,2.0,t +26720,,Kenya,3.0,f +47594,100%,Kenya,17.0,t +44088,,Costa Rica,2.0,f +7309,100%,Togo,4.0,f +27818,100%,,1.0,f +2773,100%,Gibraltar,3.0,t +47645,,Reunion,1.0,f +44546,100%,Guinea,2.0,f +21598,,Lebanon,6.0,f +2773,100%,Gibraltar,3.0,t +28766,100%,Estonia,16.0,f +27659,100%,Turks and Caicos Islands,3.0,f +47670,100%,Niue,2.0,f +47670,100%,Niue,2.0,f +19785,,Kenya,4.0,f +36035,83%,Bahrain,1.0,f +5886,94%,Fiji,25.0,t +6894,80%,Estonia,47.0,t +25209,,,2.0,t +33710,,Somalia,1.0,f +4849,,Malta,2.0,f +5886,94%,Fiji,25.0,t +13165,,Denmark,1.0,f +5886,94%,Fiji,25.0,t +20918,,Montserrat,1.0,f +19785,,Kenya,4.0,f +13927,,Indonesia,1.0,f +19785,,Kenya,4.0,f +19785,,Kenya,4.0,f +40693,,Philippines,1.0,t +33071,100%,Malta,1.0,f +39192,,Anguilla,1.0,f +18197,86%,Maldives,5.0,f +1214,100%,,5.0,f +1214,100%,,5.0,f +1166,,Lithuania,9.0,t +848,100%,Jersey,1.0,f +37874,,Turks and Caicos Islands,1.0,f +26294,100%,,1.0,f +7812,100%,Bosnia and Herzegovina,8.0,f +24229,100%,Kenya,1.0,f +12152,100%,Greenland,1.0,f +43264,100%,Niue,3.0,t +47046,100%,Lebanon,9.0,f +30430,100%,Guinea,1.0,f +49704,,Grenada,1.0,f +46401,100%,,1.0,f +40364,100%,Tonga,25.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +8347,100%,,1.0,f +27505,,Togo,1.0,t +47046,100%,Lebanon,9.0,f +534,,Uganda,1.0,f +18484,100%,Gambia,108.0,f +1336,,Estonia,1.0,f +5179,,,12.0,f +41292,,Montserrat,1.0,f +12542,98%,Mauritania,19.0,t +22061,,,1.0,t +15330,,Sao Tome and Principe,1.0,f +978,95%,Lithuania,29.0,f +6651,,Malta,1.0,f +15686,,Ghana,1.0,f +12335,,Mauritania,1.0,f +33030,100%,Niue,11.0,f +39892,100%,Tonga,31.0,t +40755,,Lebanon,1.0,f +47060,,Slovakia (Slovak Republic),1.0,f +46542,100%,Micronesia,1.0,t +45660,,Barbados,1.0,t +33319,100%,Mauritania,2.0,t +36843,,Reunion,1.0,f +39892,100%,Tonga,31.0,t +34465,,Estonia,2.0,f +44854,100%,Jersey,1.0,f +4873,,France,1.0,f +26474,100%,Guinea,4.0,f +30347,,Kenya,6.0,f +24650,75%,Tonga,3.0,t +13804,100%,El Salvador,2.0,f +17685,,,5.0,f +46292,,,1.0,f +28745,,,1.0,f +17685,,,5.0,f +12924,,,1.0,f +17685,,,5.0,f +17685,,,5.0,f +45842,100%,Maldives,1.0,t +39892,100%,Tonga,31.0,t +28626,,,1.0,f +13707,,Micronesia,1.0,f +48490,100%,Uzbekistan,1.0,f +36116,,Lebanon,2.0,f +43630,,Suriname,1.0,f +46021,50%,Bosnia and Herzegovina,2.0,f +6993,100%,Costa Rica,1.0,t +49051,,,1.0,f +12410,100%,Uzbekistan,4.0,t +22741,,United Kingdom,1.0,f +36116,,Lebanon,2.0,f +33002,,Cuba,1.0,f +10711,93%,Uganda,108.0,t +3806,,,11.0,f +17183,,,1.0,f +43834,99%,Uganda,13.0,f +26386,100%,Fiji,25.0,t +47544,,Jersey,1.0,f +13890,,Kiribati,13.0,f +33030,100%,Niue,11.0,f +21385,100%,Cuba,10.0,f +14300,100%,Afghanistan,1.0,f +24771,,Kenya,2.0,f +31123,,Cocos (Keeling) Islands,2.0,f +20162,,Niger,1.0,f +37154,,Gibraltar,1.0,f +46207,,Senegal,1.0,f +13890,,Kiribati,13.0,f +21947,,,1.0,f +45326,100%,Maldives,3.0,t +24771,,Kenya,2.0,f +21385,100%,Cuba,10.0,f +25952,,Kiribati,1.0,f +15364,,Croatia,1.0,t +18883,0%,Afghanistan,1.0,t +21385,100%,Cuba,10.0,f +13890,,Kiribati,13.0,f +19409,100%,Micronesia,1.0,f +9363,95%,Ukraine,50.0,f +8426,,Gambia,1.0,f +25132,100%,,2.0,f +42346,,,1.0,f +21216,,Sao Tome and Principe,1.0,f +41963,100%,,1.0,f +33030,100%,Niue,11.0,f +21298,100%,Uzbekistan,2.0,f +17674,100%,Pakistan,4.0,f +33030,100%,Niue,11.0,f +13890,,Kiribati,13.0,f +33030,100%,Niue,11.0,f +14634,100%,,1.0,f +8626,,Estonia,1.0,f +31070,,Chile,1.0,f +46489,100%,Rwanda,2.0,f +13890,,Kiribati,13.0,f +49535,,,1.0,f +6451,80%,Uzbekistan,3.0,f +26696,100%,France,4.0,t +4630,100%,,2.0,f +48539,,,1.0,f +13890,,Kiribati,13.0,f +33278,100%,Cuba,3.0,f +44274,,,3.0,f +25285,100%,Uzbekistan,1.0,f +16138,,,1.0,f +38701,40%,Niger,27.0,f +38942,33%,Antigua and Barbuda,2.0,t +41630,100%,Kiribati,24.0,f +28399,,Guinea,4.0,f +32362,100%,Marshall Islands,4.0,t +13468,,Uzbekistan,1.0,t +44685,,Gambia,1.0,f +39538,,Greenland,3.0,f +38200,,Zimbabwe,1.0,f +22579,,,1.0,f +5842,,China,16.0,f +5842,,China,16.0,f +5842,,China,16.0,f +5842,,China,16.0,f +49000,,Uganda,2.0,f +49000,,Uganda,2.0,f +46225,,Montserrat,1.0,f +26526,94%,Tonga,8.0,f +20005,,Gibraltar,1.0,t +31542,100%,Isle of Man,3.0,f +28710,,Kenya,1.0,f +47170,,United Kingdom,1.0,f +10408,,Portugal,1.0,f +31872,100%,,1.0,f +22271,,Nicaragua,2.0,f +42416,97%,Puerto Rico,20.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +15817,100%,Barbados,4.0,t +40971,97%,Bouvet Island (Bouvetoya),13.0,f +38618,100%,Guernsey,1.0,t +24750,,Puerto Rico,1.0,f +12111,100%,Isle of Man,1.0,f +38516,95%,Pakistan,9.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +5886,94%,Fiji,25.0,t +5886,94%,Fiji,25.0,t +14936,100%,,1.0,t +6150,,Isle of Man,1.0,t +38154,,French Guiana,1.0,f +42610,,Uzbekistan,1.0,f +23420,100%,Nauru,2.0,f +38516,95%,Pakistan,9.0,f +16782,,Kiribati,1.0,f +45292,,Micronesia,2.0,f +15843,100%,Slovakia (Slovak Republic),18.0,f +31661,,Marshall Islands,1.0,f +7537,100%,Rwanda,2.0,f +42416,97%,Puerto Rico,20.0,f +38516,95%,Pakistan,9.0,f +13579,100%,Uzbekistan,1.0,t +21211,100%,Nicaragua,2.0,f +33318,100%,Jersey,1.0,f +17674,100%,Pakistan,4.0,f +25550,100%,Nicaragua,8.0,t +38516,95%,Pakistan,9.0,f +3314,100%,Slovakia (Slovak Republic),10.0,f +33578,100%,Isle of Man,6.0,t +15843,100%,Slovakia (Slovak Republic),18.0,f +41627,,Croatia,1.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +44829,83%,,1.0,t +45437,,United Kingdom,2.0,f +33548,,Christmas Island,1.0,f +31652,100%,Kenya,8.0,t +40461,,,1.0,t +14261,,Greenland,1.0,f +38516,95%,Pakistan,9.0,f +25426,,Ghana,1.0,f +25058,100%,Tanzania,1.0,f +48780,100%,Tunisia,2.0,f +18386,100%,,2.0,t +22684,,Gambia,1.0,f +33817,100%,Gibraltar,62.0,f +46300,,Peru,1.0,f +17619,74%,Ghana,14.0,f +33817,100%,Gibraltar,62.0,f +31652,100%,Kenya,8.0,t +9622,,Kiribati,1.0,f +40971,97%,Bouvet Island (Bouvetoya),13.0,f +12504,,,1.0,f +30726,,Isle of Man,1.0,f +627,,Holy See (Vatican City State),1.0,f +1230,,Croatia,4.0,f +37704,96%,Fiji,26.0,f +41657,87%,Switzerland,4.0,f +29647,100%,Peru,1305.0,f +29647,100%,Peru,1305.0,f +47258,100%,,1.0,f +13353,100%,,1.0,t +22596,90%,Russian Federation,8.0,f +11270,,French Guiana,1.0,f +29647,100%,Peru,1305.0,f +41657,87%,Switzerland,4.0,f +24110,100%,Ecuador,1.0,f +45598,83%,China,17.0,f +40829,,Rwanda,2.0,f +30324,,Lebanon,1.0,t +46948,,Kenya,1.0,f +42416,97%,Puerto Rico,20.0,f +41153,100%,Guinea,9.0,f +36363,82%,Marshall Islands,5.0,f +33270,100%,Faroe Islands,2.0,f +45598,83%,China,17.0,f +45688,,Kenya,10.0,f +44352,,Faroe Islands,1.0,f +38501,94%,Uzbekistan,2.0,f +45598,83%,China,17.0,f +19217,98%,Marshall Islands,46.0,f +12812,99%,Croatia,32.0,f +28223,100%,Uzbekistan,1.0,f +43750,100%,,1.0,f +34975,,Netherlands,1.0,f +13097,100%,Uganda,4.0,t +45598,83%,China,17.0,f +30864,,Finland,1.0,f +5692,,Uzbekistan,2.0,t +45111,100%,Sao Tome and Principe,420.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +8148,,,1.0,f +10097,,,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45598,83%,China,17.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +7039,,Uganda,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +18077,100%,Sao Tome and Principe,139.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +30435,99%,Cape Verde,41.0,f +37112,100%,,2.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +13097,100%,Uganda,4.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +9878,,,1.0,t +45111,100%,Sao Tome and Principe,420.0,f +47346,,Kiribati,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +27164,100%,Brazil,2.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +4792,100%,Jersey,4.0,t +45111,100%,Sao Tome and Principe,420.0,f +46259,76%,Kiribati,3.0,f +45111,100%,Sao Tome and Principe,420.0,f +45525,93%,Tonga,9.0,f +45111,100%,Sao Tome and Principe,420.0,f +47675,,Netherlands,1.0,f +4446,100%,Uganda,58.0,f +45111,100%,Sao Tome and Principe,420.0,f +40006,,Uzbekistan,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +15146,,Costa Rica,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +11324,,Bouvet Island (Bouvetoya),1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +27234,,Niue,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +40793,100%,,75.0,t +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +43834,99%,Uganda,13.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +42839,,Bosnia and Herzegovina,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +45111,100%,Sao Tome and Principe,420.0,f +13097,100%,Uganda,4.0,t +45111,100%,Sao Tome and Principe,420.0,f +15757,,Niue,1.0,f +45111,100%,Sao Tome and Principe,420.0,f +27713,,Nauru,1.0,f +49321,,,1.0,f +37557,100%,Brazil,4.0,t +7039,,Uganda,2.0,f +40327,,,3.0,f +45111,100%,Sao Tome and Principe,420.0,f +23558,,Philippines,3.0,f +9982,,Uzbekistan,1.0,f +14212,,Isle of Man,1.0,f +17406,,Anguilla,1.0,f +38721,,,1.0,f +8314,,,1.0,f +12400,100%,Maldives,1.0,t +41922,,Slovakia (Slovak Republic),2.0,f +23558,,Philippines,3.0,f +18447,100%,Venezuela,2.0,f +3435,100%,Bahrain,2.0,f +9523,100%,Vietnam,2.0,t +19929,,Niue,1.0,f +43494,98%,Saint Helena,5.0,f +34707,,Senegal,1.0,f +17666,,Guinea,1.0,f +30445,,Russian Federation,1.0,f +45326,100%,Maldives,3.0,t +39024,100%,Uzbekistan,2.0,f +821,,Turks and Caicos Islands,1.0,f +14653,80%,Kenya,2.0,t +37557,100%,Brazil,4.0,t +5102,100%,Nicaragua,2.0,f +32459,100%,Russian Federation,1.0,t +35942,100%,,1.0,f +41279,,Grenada,2.0,t +45570,,Christmas Island,1.0,t +10484,100%,Guinea,12.0,t +41630,100%,Kiribati,24.0,f +42019,,Malawi,1.0,t +10697,100%,Uzbekistan,3.0,t +22492,60%,Kiribati,2.0,f +12791,,Niue,1.0,t +32546,,,1.0,f +7912,100%,,1.0,f +43659,98%,Maldives,14.0,f +10488,100%,Niger,17.0,t +23558,,Philippines,3.0,f +31877,,Puerto Rico,1.0,t +5842,,China,16.0,f +25726,100%,France,3.0,f +47766,100%,Uzbekistan,1.0,t +5842,,China,16.0,f +24040,,Rwanda,1.0,f +43310,100%,Russian Federation,1.0,f +21847,,,1.0,f +5842,,China,16.0,f +5842,,China,16.0,f +5842,,China,16.0,f +5842,,China,16.0,f +42869,,El Salvador,9.0,f +5842,,China,16.0,f +5842,,China,16.0,f +1558,100%,,10.0,f +5842,,China,16.0,f +43659,98%,Maldives,14.0,f +32330,100%,,1.0,f +23642,100%,Holy See (Vatican City State),5.0,f +8785,100%,Turks and Caicos Islands,3.0,f +2947,,Russian Federation,2.0,f +38227,100%,Switzerland,1.0,f +8785,100%,Turks and Caicos Islands,3.0,f +13266,,Peru,1.0,t +9504,,,1.0,f +27960,69%,Suriname,6.0,f +29889,,,1.0,f +8104,100%,,4.0,f +30172,100%,Russian Federation,12.0,f +30709,,Tonga,1.0,f +33708,100%,Marshall Islands,3.0,f +27509,,,1.0,f +16311,,,1.0,f +9222,100%,Brazil,18.0,t +24200,,,1.0,f +6052,,Micronesia,1.0,f +46160,,Micronesia,2.0,f +27827,100%,,3.0,f +11182,,,1.0,f +42909,100%,Peru,2.0,f +41279,,Grenada,2.0,t +22153,,Suriname,1.0,f +36485,100%,South Georgia and the South Sandwich Islands,3.0,f +44764,98%,Maldives,16.0,f +18276,,Malta,1.0,f +42319,,Malta,1.0,f +28894,100%,Nicaragua,2.0,f +33751,,Lebanon,1.0,t +20334,99%,Niger,171.0,t +2261,100%,Uzbekistan,2.0,f +1385,,Rwanda,1.0,f +20334,99%,Niger,171.0,t +15189,79%,China,21.0,f +29647,100%,Peru,1305.0,f +8329,,,1.0,f +25664,100%,,1.0,f +19214,100%,Senegal,55.0,f +44033,,,3.0,f +23146,100%,,6.0,f +40364,100%,Tonga,25.0,f +34604,96%,Kenya,18.0,f +38388,,Russian Federation,1.0,t +33924,,Uganda,1.0,f +45553,90%,Brazil,16.0,t +41347,,Congo,1.0,f +17757,100%,Uganda,1.0,f +13834,,Kiribati,9.0,f +36208,100%,Nicaragua,1.0,t +40364,100%,Tonga,25.0,f +13459,,Malawi,1.0,f +30134,100%,Uzbekistan,3.0,f +27309,,Isle of Man,4.0,f +48303,100%,France,2.0,f +25726,100%,France,3.0,f +44162,,,1.0,f +38699,,Uzbekistan,1.0,f +24022,100%,Montserrat,3.0,f +9363,95%,Ukraine,50.0,f +41972,,,1.0,t +49429,99%,Bosnia and Herzegovina,49.0,f +36232,,Marshall Islands,1.0,f +32389,75%,,5.0,f +27309,,Isle of Man,4.0,f +31946,,Gambia,1.0,f +47353,94%,Niue,20.0,f +48418,98%,Bosnia and Herzegovina,30.0,f +9856,100%,Uzbekistan,2.0,t +1401,100%,Uganda,3.0,f +29679,100%,Guinea,1.0,f +25712,,,1.0,f +47353,94%,Niue,20.0,f +19977,,,1.0,f +18434,,Cuba,1.0,f +36018,100%,,7.0,f +5971,,Niue,1.0,f +39066,,Sao Tome and Principe,1.0,f +21755,100%,Russian Federation,1.0,f +12063,100%,Isle of Man,1.0,t +9909,,,1.0,f +24022,100%,Montserrat,3.0,f +33198,100%,Mauritania,12.0,f +44041,,Netherlands,1.0,t +34604,96%,Kenya,18.0,f +24022,100%,Montserrat,3.0,f +7830,100%,,1.0,t +14452,,,1.0,t +21989,,Uganda,1.0,f +17820,100%,Montserrat,8.0,f +34375,,Fiji,1.0,t +32405,,Gambia,1.0,f +4778,100%,,2.0,f +36929,,,1.0,f +49917,,Svalbard & Jan Mayen Islands,1.0,f +24151,,Somalia,1.0,f +2406,,French Guiana,1.0,f +13641,85%,Mauritania,23.0,f +46839,,Kiribati,1.0,f +4602,,Tunisia,1.0,f +16607,,Peru,3.0,t +44312,,,1.0,f +40829,,Rwanda,2.0,f +45525,93%,Tonga,9.0,f +22331,99%,Rwanda,50.0,t +35435,,Reunion,1.0,f +10267,,Tonga,1.0,f +41446,,,1.0,f +16974,,Gambia,1.0,t +27491,,Kiribati,1.0,f +18077,100%,Sao Tome and Principe,139.0,f +16362,0%,Palestinian Territory,2.0,f +34926,,Uzbekistan,1.0,f +30347,,Kenya,6.0,f +24136,,Chile,1.0,f +31527,,,1.0,f +16200,,Lebanon,1.0,t +36751,,Ukraine,2.0,t +13543,,Brazil,1.0,t +37877,,Tanzania,1.0,f +26566,,Tonga,1.0,f +9363,95%,Ukraine,50.0,f +37651,,Brazil,1.0,f +38300,,Bouvet Island (Bouvetoya),1.0,f +29951,90%,Russian Federation,2.0,f +11897,,Sao Tome and Principe,1.0,f +15245,100%,,11.0,f +5366,,,1.0,f +18007,,Russian Federation,1.0,f +26511,,Andorra,1.0,t +2428,,Kenya,1.0,t +16613,,Montserrat,1.0,f +20611,,Guinea,3.0,f +42177,100%,,4.0,t +46364,100%,Greenland,2.0,f +29636,100%,Cocos (Keeling) Islands,5.0,f +47192,,Russian Federation,1.0,t +12965,100%,Vietnam,11.0,t +23714,100%,Montserrat,1.0,f +301,100%,,1.0,f +29117,,Chad,2.0,t +25726,100%,France,3.0,f +20789,98%,Sao Tome and Principe,13.0,f +29636,100%,Cocos (Keeling) Islands,5.0,f +44705,,,1.0,f +44114,92%,,5.0,f +48681,75%,,2.0,f +7494,100%,Micronesia,2.0,f +49185,,Isle of Man,4.0,f +48702,,Turks and Caicos Islands,1.0,t +28234,100%,Marshall Islands,4.0,f +30452,,,1.0,t +16368,100%,Faroe Islands,4.0,t +41630,100%,Kiribati,24.0,f +6388,,French Guiana,1.0,f +44114,92%,,5.0,f +43036,,Marshall Islands,1.0,f +44114,92%,,5.0,f +42904,70%,Russian Federation,2.0,t +3700,,Puerto Rico,1.0,f +30172,100%,Russian Federation,12.0,f +19048,,,1.0,f +23197,,,1.0,f +24628,,Jersey,1.0,f +2007,,Denmark,1.0,f +6580,100%,Kiribati,5.0,t +6185,,Pakistan,1.0,t +1868,100%,China,4.0,t +6782,100%,Uganda,5.0,f +35242,,,1.0,t +13017,,Palestinian Territory,1.0,t +33078,,Cuba,1.0,f +8575,,Mauritania,1.0,f +41108,,Uganda,1.0,f +4247,,,2.0,f +4247,,,2.0,f +4738,,Rwanda,4.0,f +43388,94%,Barbados,2.0,f +41153,100%,Guinea,9.0,f +40556,,Togo,1.0,f +12216,97%,Uzbekistan,4.0,f +34671,100%,Montserrat,3.0,f +39361,,Bosnia and Herzegovina,1.0,f +4738,,Rwanda,4.0,f +4738,,Rwanda,4.0,f +6477,100%,Nicaragua,2.0,f +20868,100%,Montserrat,2.0,t +36107,,Denmark,1.0,f +11280,100%,Slovakia (Slovak Republic),10.0,f +28766,100%,Estonia,16.0,f +3822,,Uzbekistan,5.0,f +18218,,Sao Tome and Principe,1.0,f +29912,,Marshall Islands,1.0,t +24867,90%,Bosnia and Herzegovina,5.0,f +45688,,Kenya,10.0,f +5786,,El Salvador,2.0,f +34042,100%,Marshall Islands,37.0,f +46988,,Somalia,4.0,t +16062,100%,Brazil,2.0,f +18756,88%,Philippines,3.0,f +36160,,Guinea,1.0,f +19803,75%,Guinea,2.0,f +27930,,Ukraine,2.0,f +2092,100%,,2.0,f +20297,80%,Montserrat,17.0,f +6129,100%,Isle of Man,2.0,f +19879,99%,Guinea,19.0,f +22649,,Russian Federation,1.0,f +41153,100%,Guinea,9.0,f +10248,,Costa Rica,1.0,f +27930,,Ukraine,2.0,f +22325,,,1.0,f +47470,,Kenya,1.0,t +28169,,Guernsey,1.0,f +19879,99%,Guinea,19.0,f +32886,90%,Russian Federation,6.0,f +48093,,Brazil,1.0,t +20371,,,1.0,f +36795,,Russian Federation,1.0,f +25674,70%,Cocos (Keeling) Islands,1.0,f +36157,100%,Tonga,6.0,t +2760,100%,Indonesia,3.0,f +32886,90%,Russian Federation,6.0,f +15019,,Tonga,1.0,f +10329,,Nicaragua,1.0,t +34171,100%,Anguilla,6.0,f +12137,99%,Sao Tome and Principe,33.0,t +36774,100%,Tonga,19.0,f +31153,,,1.0,f +28650,100%,Zimbabwe,2.0,f +19958,100%,Congo,40.0,t +45496,40%,Niue,6.0,f +45121,100%,Andorra,5.0,t +14731,100%,Brazil,2.0,f +34042,100%,Marshall Islands,37.0,f +10766,,Lebanon,1.0,f +49429,99%,Bosnia and Herzegovina,49.0,f +25035,,Micronesia,2.0,f +15807,,Gambia,1.0,f +28196,,Svalbard & Jan Mayen Islands,3.0,t +33656,,Niue,1.0,f +43799,100%,Nicaragua,2.0,f +42046,,Kiribati,7.0,t +1054,100%,Guinea,20.0,f +8137,,Fiji,1.0,t +49317,100%,El Salvador,2.0,f +18156,,Monaco,1.0,f +28234,100%,Marshall Islands,4.0,f +18173,100%,Barbados,5.0,t +27641,,Uzbekistan,1.0,f +47353,94%,Niue,20.0,f +3482,100%,Marshall Islands,4.0,f +35925,100%,Croatia,2.0,f +23220,,,1.0,t +28234,100%,Marshall Islands,4.0,f +18669,,Marshall Islands,1.0,f +18561,,Gambia,1.0,f +13163,25%,Svalbard & Jan Mayen Islands,2.0,f +45605,,Vanuatu,4.0,f +25027,,Papua New Guinea,1.0,f +47353,94%,Niue,20.0,f +5179,,,12.0,f +7415,100%,Uzbekistan,8.0,f +20020,100%,Sao Tome and Principe,2.0,t +2031,,United Kingdom,1.0,t +22743,,Somalia,1.0,f +21877,100%,Cook Islands,7.0,f +6276,100%,Zimbabwe,5.0,f +22099,,,1.0,f +22532,,,1.0,f +20611,,Guinea,3.0,f +29308,,,1.0,f +23975,0%,Cuba,1.0,f +23964,,,1.0,f +13094,,Kiribati,1.0,f +20611,,Guinea,3.0,f +24965,,,1.0,f +20408,,Svalbard & Jan Mayen Islands,1.0,t +35741,,,1.0,f +40250,100%,Palau,5.0,f +40218,100%,Estonia,6.0,f +5816,,Rwanda,4.0,f +19274,100%,Denmark,3.0,f +200,,El Salvador,1.0,f +44467,,Russian Federation,1.0,t +40859,100%,Togo,1.0,f +1742,,Greenland,1.0,f +15249,,Marshall Islands,1.0,f +44431,,,1.0,f +25724,,,1.0,f +32743,,Kiribati,2.0,f +19010,,Philippines,2.0,f +6654,100%,Tonga,3.0,f +8000,,Chile,2.0,t +14296,,Netherlands,4.0,f +27363,80%,,3.0,t +12542,98%,Mauritania,19.0,t diff --git a/docs/source/03_tutorial/data/reviews.csv b/docs/source/03_tutorial/data/reviews.csv new file mode 100755 index 0000000000..fa0d379d98 --- /dev/null +++ b/docs/source/03_tutorial/data/reviews.csv @@ -0,0 +1,77097 @@ 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+1,239 @@ +# Setting up Visual Studio Code + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +Start by opening a new project directory in VS Code and installing the Python plugin under **Tools and languages**: + +![](images/vscode_startup.png) + +Python is an interpreted language; to run Python code you must tell VS Code which interpreter to use. From within VS Code, select a Python 3 interpreter by opening the **Command Palette** (`Cmd + Shift + P` for macOS), start typing the **Python: Select Interpreter** command to search, then select the command. + +At this stage, you should be able to see the `conda` environment that you have created. Select the environment: + +![](images/vscode_setup_interpreter.png) + +### Advanced: For those using `venv` / `virtualenv` + +We're going to show you how to get your virtual environments to show up in your Python interpreter in VS Code. You do this by opening [`settings.json`](https://code.visualstudio.com/docs/getstarted/settings#_settings-file-locations) and adding the following: + +```console +"python.venvPath": "/path/containing/your/venvs/" +``` + +It is useful to note that if you create a `venv` / `virtualenv` in your project directory named `venv`, VS Code (much like PyCharm) automatically loads it as the Python interpreter (unless you manually define your Python interpreter to something else as described above). + + +## Setting up tasks + +Here we will show you how to setup tasks for such Kedro CLI commands as `run`, `test`, `install`, `package`, etc. + +You'll start by finding the path of your Kedro CLI script in the terminal: + +```console +# macOS / Linux +which kedro + +# Windows (in **Anaconda Command Prompt**) +python -c 'import sys, os.path; print(os.path.join(os.path.dirname(sys.executable), "kedro"))' +``` + +We're going to need you to modify your `tasks.json`. To do this, go to **Terminal > Configure Tasks...** on your menu and open up `tasks.json` in the editor. Modify it with the following: + +``` +{ + // See https://go.microsoft.com/fwlink/?LinkId=733558 + // Kedro tasks + "version": "2.0.0", + "tasks": [ + { + "label": "Install", + "type": "shell", + "command": "/path/to/kedro/script", + "args": [ + "install" + ] + }, + { + "label": "Test", + "group": "test", + "type": "shell", + "command": "/path/to/kedro/script", + "args": [ + "test" + ] + }, + { + "label": "Run", + "type": "shell", + "command": "/path/to/kedro/script", + "args": [ + "run" + ] + }, + + // This is the default build task + { + "label": "Package", + "group": { + "kind": "build", + "isDefault": true + }, + "type": "shell", + "command": "/path/to/kedro/script", + "args": [ + "package" + ], + // Will run `Test` before packaging + "dependsOn": [ + "Test" + ] + } + ] +} +``` + +To start a build, go to **Terminal > Run Build Task...** or press `Cmd + Shift + B` for macOS. You can run other tasks by going to **Terminal > Run** and choosing which task you want to run. + +![](images/vscode_run.png) + + +## Debugging + +To debug, you will first need to create an `.env` file in your project root. Add the full path to the `./src/` folder to the *PYTHONPATH* environment variable in the `.env` file: + +```console +# In macOS / Linux: +PYTHONPATH=/path/to/project/src:$PYTHONPATH + +# In Windows +set PYTHONPATH=C:/path/to/project/src;%PYTHONPATH% +``` + +You can find more information about setting up environmental variables [here](https://code.visualstudio.com/docs/python/environments#_environment-variable-definitions-file). + +Go to **Debug > Add Configurations**. + +> *Note:* If you encounter the following error: `Cannot read property 'openConfigFile' of undefined`, you can manually create `launch.json` file in your project root folder and paste the configuration from below. + +Edit the `launch.json` that opens in the editor with: + +``` +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python: Kedro Run", + "type": "python", + "request": "launch", + "program": "${workspaceFolder}/src/<your_project_package>/run.py", + "console": "integratedTerminal", + } + ] +} +``` + +To add a breakpoint in your `run.py` script, for example, click on the left hand side of the line of code: + +![](images/vscode_set_breakpoint.png) + +Click on **Debug** button on the left pane: + +![](images/vscode_debug_button.png) + +Then select the debug config **Python: Kedro Run** and click **Debug** (the green play button): + +![](images/vscode_run_debug.png) + +Execution should stop at the breakpoint: + +![](images/vscode_breakpoint.png) + +### Advanced: Remote Interpreter / Debugging + +It is possible to debug remotely using VS Code. The following example assumes SSH access is available on the remote computer (running a Unix-like OS) running the code that will be debugged. + +First install the `ptvsd` Python library on both the local and remote computer using the following command (execute it on both computers in the appropriate `conda` environment): + +```console +python -m pip install --upgrade ptvsd +``` + +Go to the Debugger Configurations as described [above](#debugging). Add the following to the `configurations` array in `launch.json`: + +``` +{ + "name": "Kedro Remote Debugger", + "type": "python", + "request": "attach", + "pathMappings": [ + { + // You may also manually specify the directory containing your source code. + "localRoot": "${workspaceFolder}", + "remoteRoot": "/path/to/your/project" + } + ], + "port": 3000, // Set to the remote port. + "host": "127.0.0.1" // Set to your remote host's public IP address. +} +``` + +Change the `remoteRoot` path to the path of your project on the remote computer. Open the file `src/<package_name>/run.py` and enter the following near the top: + +```python +import ptvsd + +# Allow other computers to attach to ptvsd at this IP address and port. +ptvsd.enable_attach(address=("127.0.0.1", 3000), redirect_output=True) + +# Pause the program until a remote debugger is attached +print("Waiting for debugger to attach...") +ptvsd.wait_for_attach() +``` + +Ensure both computers (the computer you are working on and the remote computer executing your code) have the same source code. For example, you can use `scp` to sync your code: + +```console +scp -r /path/to/<your_project_name> <your_username>@<remote_server>:projects/ +``` + +❗The example above assumes there is a directory called `projects` in the home directory of the user account on the remote computer. This is where the project will be copied to. This can be set up as a deploy task as described above: + +``` +// Add to `tasks` array in `tasks.json` +{ + "label": "Deploy", + "type": "shell", + "command": "scp -r /path/to/<your_project_name> <your_username>@<remote_server>:projects/", +} +``` + +> *Note:* There is also a third-party plugin for VS Code that supports remote workspaces, click [here](https://marketplace.visualstudio.com/items?itemName=mkloubert.vscode-remote-workspace) to find it. + +Start executing the pipeline on your remote computer: + +```console +while :; do kedro run; done +``` + +You should see the following message in the terminal and execution will stop: + +```console +Waiting for debugger to attach... +``` + +Open a new terminal session and create an SSH tunnel from your local computer to the remote one (leave this process running): + +```console +ssh -vNL 3000:127.0.0.1:3000 <your_username>@<remote_server> +``` + +Go to the **Debugging** section in VS Code and select the newly created remote debugger profile: + +![](images/vscode_remote_debugger.png) + +You will need to set a breakpoint in VS Code as described [above](#debugging) and start the debugger by clicking the green play triangle: + +> *Note:* You can find more information on debugging in VS Code [here](https://code.visualstudio.com/docs/python/debugging) diff --git a/docs/source/04_user_guide/02_setting_up_pycharm.md b/docs/source/04_user_guide/02_setting_up_pycharm.md new file mode 100644 index 0000000000..db6313f637 --- /dev/null +++ b/docs/source/04_user_guide/02_setting_up_pycharm.md @@ -0,0 +1,119 @@ +# Setting up PyCharm + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +This section will present a quick guide on how to configure [PyCharm](https://www.jetbrains.com/pycharm/) as a development environment for working on Kedro projects. + +Open a new project directory in PyCharm. You will need to add your **Project Interpreter**, so go to **PyCharm | Preferences** for macOS or **File | Settings** for Windows and Linux: + +![](images/pycharm_preferences.png) + +Choose **Project Interpreter**: <br /> + +![](images/pycharm_project_interpreter.png) + +Click the cog on the right-hand side and click **Add**: + +![](images/pycharm_add_interpreter.png) + +Select **Conda Environment**: + +![](images/pycharm_add_conda_env.png) + +Choose **Existing environment** and navigate your way to find your existing environment. If you don't see your `conda` environment in the dropdown menu then you need to open a `terminal` / `command prompt` with your `conda` environment activated and run: + +```console +# macOS / Linux +which python +# Windows +python -c 'import sys; print(sys.executable)' +``` + +Paste the interpreter path into the file picker and click **OK**: <br /> + +![](images/pycharm_select_conda_interpreter.png) + +Finally, in the **Project Explorer** right-click on `src` and then go to **Mark Directory as | Sources Root**: + +![](images/pycharm_mark_dir_as_sources_root.png) + + +## Set up Run configurations + +[PyCharm Run configurations](https://www.jetbrains.com/help/pycharm/creating-and-editing-run-debug-configurations.html) allow you to execute preconfigured scripts rapidly in your IDE with a click of a button. This may be useful for testing, running and packaging your Kedro projects. + +Here we will walk you through an example of how to setup Run configuration for Kedro CLI `run` command, however it is also applicable to other Kedro commands: `test`, `install`, `package`, `build-docs`. + +Go to **Run | Edit Configurations**: + +![](images/pycharm_edit_confs.png) + +Add a new **Python** Run configuration: + +![](images/pycharm_add_py_run_config.png) + +Create a **Run / Debug Configuration** for `kedro run` and get the path to the Kedro CLI script: + +```console +# macOS / Linux +which kedro + +# Windows (in `cmd`) +python -c 'import sys, os.path; print(os.path.join(os.path.dirname(sys.executable), "kedro"))' +``` + +Edit the new Run configuration as follows: + +![](images/pycharm_edit_py_run_config.png) + +Replace **Script path** with path obtained above and **Working directory** with the path of your project directory and then click **OK**. + +To execute the Run configuration, select it from the **Run / Debug Configurations** dropdown in the toolbar (if that toolbar is not visible, you can enable it by going to **View > Toolbar**). Click the green triangle: + +![](images/pycharm_conf_run_button.png) + +You may also select **Run** from the toolbar and execute from there. <br /> + +![](images/pycharm_conf_run_dropdown.png) + +For other `kedro` commands, follow same steps but replace `run` in the `Parameters` field with the other commands that are to be used (e.g., `test`, `package`, `build-docs` etc.). + + +## Debugging + +To debug, simply click the line number in the source where you want execution to break: + +![](images/pycharm_add_breakpoint.png) + +Then click the bug button in the toolbar (![](images/pycharm_debugger_button.png)) and execution should stop at the breakpoint: + +![](images/pycharm_debugger_break.png) + +>For more information about debugging with PyCharm take a look at the [debugging guide on jetbrains.com](https://www.jetbrains.com/help/pycharm/part-1-debugging-python-code.html). + + +## Advanced: Remote SSH interpreter + +> *Note:* This section uses the features supported in PyCharm Professional Edition only. + +Firstly, add an SSH interpreter. Go to **Preferences | Project Interpreter** as above and proceed to add a new interpreter. Select **SSH Interpreter** and fill in details of the remote computer: + +![](images/pycharm_ssh_interpreter_1.png) + +Click **Next** and add the SSH password or SSH private key: + +![](images/pycharm_ssh_interpreter_2.png) + +Click **Next** and add the path of the remote interpreter. Assuming a Unix-like OS, this can be found by running `which python` within the appropriate `conda` environment on the remote computer. + +![](images/pycharm_ssh_interpreter_3.png) + +Click **Finish**. Go to **Run / Debug Configurations** to add a **Remote Run**. Select the remote interpreter that you have just created. For the script path, get the path of the Kedro CLI on the remote computer by running `which kedro` (macOS / Linux) in the appropriate environment. + +![](images/pycharm_ssh_runner.png) + +Click **OK** and then select **Remote Run** from the toolbar and click **Run** to execute remotely. + +![](images/pycharm_remote_run.png) + +To remotely debug, click the debugger button as [described above](#debugging). diff --git a/docs/source/04_user_guide/03_configuration.md b/docs/source/04_user_guide/03_configuration.md new file mode 100644 index 0000000000..a6c027cb3d --- /dev/null +++ b/docs/source/04_user_guide/03_configuration.md @@ -0,0 +1,53 @@ +# Configuration + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +This section contains detailed information about configuration. You may also want to consult the relevant API documentation on [kedro.config](/kedro.config.rst). + +## Local and base configuration + +We recommend that you keep all configuration files in the `conf` directory of a Kedro project. However, if you prefer, you may point Kedro to any other directory and change the configuration paths by modifying the `CONF_ROOT` variable in `src/run.py`. + +## Loading + +Kedro-specific configuration (e.g., `DataCatalog` configuration for IO) is loaded using the `ConfigLoader` class: + +```python +from kedro.config import ConfigLoader + +conf_paths = ['conf/base', 'conf/local'] +conf_loader = ConfigLoader(conf_paths) +conf_catalog = conf_loader.get('catalog*', 'catalog*/**') +``` + +This will recursively scan for configuration files firstly in `conf/base/` and then in `conf/local/` directory according to the following rules: + +* ANY of the following is true: + * filename starts with `catalog` OR + * file is located in a sub-directory whose name is prefixed with `catalog` +* AND file extension is one of the following: `yaml`, `yml`, `json`, `ini`, `pickle`, `xml`, `properties` or `shellvars` + +Configuration information from files stored in `base` or `local` that match these rules is merged at runtime and returned in the form of a config dictionary: + +* If any 2 configuration files located inside the same environment path (`conf/base/` or `conf/local/` in this example) contain the same top-level key, `load_config` will raise a `ValueError` indicating that the duplicates are not allowed. + +> *Note:* Any top-level keys that start with `_` character are considered hidden (or reserved) and therefore are ignored right after the config load. Those keys will neither trigger a key duplication error mentioned above, nor will they appear in the resulting configuration dictionary. However, you may still use such keys for various purposes. For example, as [YAML anchors and aliases](https://confluence.atlassian.com/bitbucket/yaml-anchors-960154027.html). + +* If 2 configuration files have duplicate top-level keys, but are placed into different environment paths (one in `conf/base/`, another in `conf/local/`, for example) then the last loaded path (`conf/local/` in this case) takes precedence and overrides that key value. `ConfigLoader.get(<pattern>, ...)` will not raise any errors, however a `DEBUG` level log message will be emitted with the information on the over-ridden keys. + + +## Additional configuration environments + +In addition to the 2 built-in configuration environments, it is possible to create your own. Your project loads `conf/base/` as the bottom-level configuration environment but allows you to overwrite it with any other environments that you create. You are be able to create environments like `conf/server/`, `conf/test/`, etc. Any additional configuration environments can be created inside `conf` folder and loaded by running the following command: + +```bash +kedro run --env=test +``` + +If no `env` option is specified, this will default to using `local` environment to overwrite `conf/base`. + +You can alternatively change the default environment by modifying the `DEFAULT_RUN_ENV` variable in `src/run.py`. + +```python +DEFAULT_RUN_ENV = "test" +``` diff --git a/docs/source/04_user_guide/04_data_catalog.md b/docs/source/04_user_guide/04_data_catalog.md new file mode 100644 index 0000000000..9b4e5644ac --- /dev/null +++ b/docs/source/04_user_guide/04_data_catalog.md @@ -0,0 +1,284 @@ +# The Data Catalog + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +This section introduces `catalog.yml`, the project-shareable Data Catalog. The file is located in `conf/base` and is a registry of all data sources available for use by a project; it manages loading and saving of data. + +## Using the Data Catalog within Kedro configuration + +Kedro uses configuration to make your code reproducible when it has to reference datasets in different locations and/or in different environments. + +You can copy this file and reference additional locations for the same datasets. For instance, you can use the `catalog.yml` file in `conf/base/` to register the locations of datasets that would run in production while copying and updating a second version of `catalog.yml` that can be placed in `conf/local/` to register the locations of sample datasets on the local computer that you are using for prototyping your data pipeline. + +There is built-in functionality for `conf/local/` to overwrite `conf/base/` detailed [here](./03_configuration.md). This means that a dataset called `cars` could exist in the `catalog.yml` files in `conf/base/` and `code/local/`. In code, in `src`, you would only call a dataset named `cars` and Kedro would detect which definition of `cars` dataset to use to run your pipeline - `cars` definition from `code/local/catalog.yml` would take precedence in this case. + +The Data Catalog also works with the `credentials.yml` in `conf/local/`, allowing you to specify usernames and passwords that are required to load certain datasets. + +The are two ways of defining a Data Catalog: through the use of YAML configuration, or programmatically using an API. Both methods allow you to specify: + + - Dataset name + - Dataset type + - Location of the dataset (includes file paths, S3 bucket locations and more) + - Credentials needed in order to access the dataset + - Load and saving arguments + - Whether or not you want a [dataset or ML model to be versioned](./07_advanced_io.md#versioning) when you run your data pipeline + +## Using the Data Catalog with the YAML API + +The YAML API allows you to configure your datasets in a YAML configuration file, `conf/base/catalog.yml` or `conf/local/catalog.yml`. + +Here is an example data config `catalog.yml`: + +```yaml +# Example 1: Loads a local csv file +bikes: + type: CSVLocalDataSet + filepath: "data/01_raw/bikes.csv" + +# Example 2: Loads and saves a local csv file using specified load and save arguments +cars: + type: CSVLocalDataSet + filepath: data/01_raw/company/cars.csv + load_args: + sep: ',' + save_args: + index: False + date_format: '%Y-%m-%d %H:%M' + decimal: '.' + +# Example 3: Loads a csv file from a specific S3 bucket that requires credentials and additional load arguments +motorbikes: + type: CSVS3DataSet + filepath: data/02_intermediate/company/motorbikes.csv + credentials: dev_s3 + bucket_name: test_bucket + load_args: + sep: ',' + skiprows: 5 + skipfooter: 1 + na_values: ['#NA', 'NA'] + +# Example 4: Loads a local pickle dataset +airplanes: + type: PickleLocalDataSet + filepath: data/06_models/airplanes.pkl + backend: pickle + +# Example 5: Loads a local hdf dataset, specifies the selection of certain columns to be loaded as well as overwriting the file when saving +skateboards: + type: HDFLocalDataSet + filepath: data/02_intermediate/skateboards.hdf + key: name + load_args: + columns: ['brand', 'length'] + save_args: + mode: 'w' # Overwrite even when the file already exists + dropna: True + +# Example 6: Loads a local parquet dataset with load and save arguments +trucks: + type: ParquetLocalDataSet + filepath: data/02_intermediate/trucks.parquet + load_args: + columns: ['name', 'gear','disp', 'wt'] + categories: list + index: 'name' + save_args: + compression: 'GZIP' + file_scheme: 'hive' + has_nulls: false + partition_on: ['name'] + +# Example 7: Loads a SQL table with credentials, load and save arguments +scooters: + type: SQLTableDataSet + credentials: scooters_credentials + table_name: scooters + load_args: + index_col: ['name'] + columns: ['name', 'gear'] + save_args: + if_exists: 'replace' + +# Example 8: Load a SQL table with credentials and applies a SQL query to the table +scooters_query: + type: SQLQueryDataSet + credentials: scooters_credentials + sql: 'select * from cars where gear=4' + load_args: + index_col: ['name'] +``` + +The above `catalog.yml` gets `dev_s3` `scooters_credentials` from `conf/local/credentials.yml`: + +```yaml +dev_s3: + aws_access_key_id: token + aws_secret_access_key: key + +scooters_credentials: + con: sqlite:///kedro.db +``` + +## Loading multiple datasets that have similar configuration + +You may encounter situations where your datasets use the same file format, load and save arguments, and are stored in the same folder. The YAML has a [built-in syntax](https://yaml.org/spec/1.2/spec.html#id2765878) for factorising parts of a YAML file, which means that you can decide what is generalisable across your datasets so that you do not have to spend time copying and pasting dataset configurations in `catalog.yml`. + +You can see this in the following example: + +```yaml +_csv: &csv + type: kedro.contrib.io.pyspark.spark_data_set.SparkDataSet + file_format: 'csv' + load_args: + sep: ',' + na_values: ['#NA', 'NA'] + header: True + inferSchema: False + +cars: + <<: *csv + filepath: 's3a://data/01_raw/cars.csv' + +trucks: + <<: *csv + filepath: 's3a://data/01_raw/trucks.csv' + +bikes: + <<: *csv + filepath: 's3a://data/01_raw/bikes.csv' + load_args: + header: False +``` + +The syntax `&csv` names the following block `csv` and the syntax `<<: *csv` inserts the contents of the block named `csv`. Locally declared keys entirely override inserted ones as seen in `bikes`. + +> *Note*: It's important that the name of the template entry starts with a `_` so Kedro knows not to try and instantiate it as a dataset. + +You can also nest reuseable YAML syntax: + +```yaml +_csv: &csv + type: kedro.contrib.io.pyspark.spark_data_set.SparkDataSet + file_format: 'csv' + load_args: &csv_load_args + header: True + inferSchema: False + +airplanes: + <<: *csv + filepath: 's3a://data/01_raw/airplanes.csv' + load_args: + <<: *csv_load_args + sep: ';' +``` + +In this example the default `csv` configuration is inserted into `airplanes` and then the `load_args` block is overridden. Normally that would replace the whole dictionary. In order to extend `load_args` the defaults for that block are then re-inserted. + +### Versioning datasets and ML models + +Making a simple addition to your Data Catalog allows you to perform versioning of datasets and machine learning models. + +Consider the following versioned dataset defined in the `catalog.yml`: + +```yaml +cars.csv: + type: CSVLocalDataSet + filepath: data/01_raw/company/cars.csv + versioned: true +``` + +The `DataCatalog` will create a versioned `CSVLocalDataSet` called `cars.csv`. The actual csv file location will look like `data/01_raw/company/cars.csv/<version>/cars.csv`, where `<version>` corresponds to a global save version string formatted as `YYYY-MM-DDThh.mm.ss.sssZ`. + +This section shows just the very basics of versioning. You can learn more about how this feature can be used in [Advanced IO](./07_advanced_io.md#versioning). + +## Using the Data Catalog with the Code API + +The code API allows you to configure data sources in code. This can also be used to operate the IO module within notebooks. + +```python +from kedro.io import * +import os +``` + +### Configuring a data catalog + +In a file like `catalog.py`, you can generate the Data Catalog. This will allow everyone in the project to review all the available data sources. In the following, we are using the pre-built CSV loader, which is documented in the API reference documentation: [CSVLocalDataSet](/kedro.io.CSVLocalDataSet) + +```python +io = DataCatalog({ + 'bikes': CSVLocalDataSet(filepath='../data/01_raw/bikes.csv'), + 'cars': CSVLocalDataSet(filepath='../data/01_raw/cars.csv', load_args=dict(sep=',')), # additional arguments + 'scooters': SQLTableDataSet(table_name="scooters", credentials=dict(con="sqlite:///kedro.db")), + 'scooters_query': SQLQueryDataSet(sql="select * from cars where gear=4", credentials=dict(con="sqlite:///kedro.db")), + 'trucks': ParquetLocalDataSet(filepath="trucks.parquet") +}) +``` + +### Loading datasets + +Each dataset can be accessed by its name. + +```python +cars = io.load('cars') # data is now loaded as a DataFrame in 'cars' +gear = cars['gear'].values +``` + +#### Behind the scenes + +The following steps happened behind the scenes when `load` was called: + +- The value `cars` was located in the Data Catalog +- The corresponding `AbstractDataSet` object was retrieved +- The `load` method of this dataset was called +- This `load` method delegated the loading to the underlying pandas `read_csv` function + +#### Viewing the available data sources + +If you forget what data was assigned, you can always review the `DataCatalog`. + +```python +io.list() +``` + +### Saving data + +Saving data can be completed with a similar API. + +> *Note:* This use is not recommended unless you are prototyping in notebooks. + +#### Saving data to memory + +```python +memory = MemoryDataSet(data=None) +io.add('cars_cache', memory) +io.save('cars_cache', 'Memory can store anything.') +io.load('car_cache') +``` + +#### Saving data to a SQL database for querying + +At this point we may want to put the data in a SQLite database to run queries on it. Let's use that to rank cars by their mpg. + +```python +# This cleans up the database in case it exists at this point + +try: + os.remove("kedro.db") +except FileNotFoundError: + pass + +io.save('cars_table', cars) +ranked = io.load('cars_query')[['brand', 'mpg']] +``` + +#### Saving data in parquet + +Finally we can save the processed data in Parquet format. + +```python +io.save('ranked', ranked) +``` + +#### Creating your own dataset +More specialised datasets can be found in `contrib/io`. [Creating new datasets](../03_tutorial/03_set_up_data.md#creating-custom-datasets) is the easiest way to contribute to the Kedro project. diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md new file mode 100644 index 0000000000..ce8badded8 --- /dev/null +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -0,0 +1,872 @@ +# Nodes and pipelines + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +In this section we introduce pipelines and nodes. + +Relevant API documentation: +* [`Pipeline`](/kedro.pipeline.Pipeline) +* [`node`](/kedro.pipeline.node) + +To run the code snippets demonstrated below for yourself, you will first need to import some Kedro and standard libraries. + +```python +from kedro.pipeline import * +from kedro.io import * +from kedro.runner import * + +import pickle +import os +``` +## Nodes + +Nodes are used to coordinate complex, dependent tasks. Pipelines are flexible and are used to combine nodes reproducibly to build simple machine learning workflows or even build entire end-to-end production workflows. + +## Creating a pipeline node + +A node is created by specifying a function, input variable names and output variable names. Let's consider a simple function that adds two numbers: + +```python +def add(x, y): + return x + y +``` + +The add function has two inputs `x` and `y` and a single output. A new node can now be created with this function: + +```python +adder_node = node(func=add, inputs=['a', 'b'], outputs='sum') +adder_node +``` + +`Output`: + +```console +Out[1]: Node(add, ['a', 'b'], 'sum', None) +``` + +You can also add labels to nodes which will be used to describe them in logs: + +```python +adder_node = node(func=add, inputs=['a', 'b'], outputs='sum') +print(str(adder_node)) + +adder_node = node(func=add, inputs=['a', 'b'], outputs='sum', name='adding_a_and_b') +print(str(adder_node)) +``` + +`Output`: + +```console +add([a,b]) -> [sum] +adding_a_and_b: add([a,b]) -> [sum] +``` + +Let's break down the node definition: + +* `add` is our function that will execute when running the node +* `['a', 'b']` specify our input variable names. Note that in this case, they are different from `x` and `y` +* `sum` specifies the name of our return variable. The value returned by `add` will be bound in this variable +* `name` is an optional label, which can be used to provide description of the business logic of the node + +### Node definition syntax + +There is a special syntax for describing function inputs and outputs. This allows different Python functions to be reused in nodes and supports dependency resolution in pipelines. + +### Syntax for input variables + +```eval_rst ++----------------------------------+-----------------+-----------------------------+---------------------------------------+ +| Input syntax | Meaning | Example function parameters | How function is called when node runs | ++==================================+=================+=============================+=======================================+ +| :code:`None` | No input | :code:`def f()` | :code:`f()` | ++----------------------------------+-----------------+-----------------------------+---------------------------------------+ +| :code:`'a'` | Single input | :code:`def f(arg1)` | :code:`f(a)` | ++----------------------------------+-----------------+-----------------------------+---------------------------------------+ +| :code:`['a', 'b']` | Multiple inputs | :code:`def f(arg1, arg2)` | :code:`f(a, b)` | ++----------------------------------+-----------------+-----------------------------+---------------------------------------+ +| :code:`dict(arg1='x', arg2='y')` | Keyword inputs | :code:`def f(arg1, arg2)` | :code:`f(arg1='x', arg2='y')` | ++----------------------------------+-----------------+-----------------------------+---------------------------------------+ +``` + +### Syntax for output variables + +```eval_rst ++----------------------------------+-------------------+-------------------------------------+ +| Output syntax | Meaning | Example return statement | ++==================================+===================+=====================================+ +| :code:`None` | No output | Does not return | ++----------------------------------+-------------------+-------------------------------------+ +| :code:`'a'` | Single output | :code:`return a` | ++----------------------------------+-------------------+-------------------------------------+ +| :code:`['a', 'b']` | List output | :code:`return [a, b]` | ++----------------------------------+-------------------+-------------------------------------+ +| :code:`dict(key1='a', key2='b')` | Dictionary output | :code:`return dict(key1=a, key2=b)` | ++----------------------------------+-------------------+-------------------------------------+ +``` + +Any combinations of the above are possible, except nodes of the form `node(f, None, None)` (at least a single input or output needs to be provided). + +## Running nodes + +To run a node, you need to instantiate its inputs. In this case, the node expects two inputs: + +```python +adder_node.run(dict(a=2, b=3)) +``` + +`Output`: + +```console +Out[2]: {'sum': 5} +``` + +### Applying decorators to nodes + +For computations that need to run before and after node execution, Kedro is compatible with Python decorators. Below are example decorators that modify the first string argument of a given function: + + +```python +from functools import wraps +from typing import Callable + + +def apply_f(func: Callable) -> Callable: + @wraps(func) + def with_f(*args, **kwargs): + return func(*["f({})".format(a) for a in args], **kwargs) + return with_f + + +def apply_g(func: Callable) -> Callable: + @wraps(func) + def with_g(*args, **kwargs): + return func(*["g({})".format(a) for a in args], **kwargs) + return with_g + + +def apply_h(func: Callable) -> Callable: + @wraps(func) + def with_h(*args, **kwargs): + return func(*["h({})".format(a) for a in args], **kwargs) + return with_h +``` + +So if you want to create a function and make sure that `apply_f` is applied to every call of your function, including in Kedro nodes, you can do as follows: + +```python +@apply_f +def say_hello(name): + print("Hello {}!".format(name)) + + +hello_node = node(say_hello, 'name', None) +hello_node.run(dict(name="Kedro")) +``` + +`Output`: + +```console +In [3]: hello_node.run(dict(name="Kedro")) +Hello f(Kedro)! +Out[3]: {} +``` + +If you want to apply an additional decorator to the same function, but just for another node: + +```python +hello_node_wrapped = node(apply_g(say_hello), 'name', None) + +hello_node.run(dict(name="Kedro")) +hello_node_wrapped.run(dict(name="Kedro")) +``` + +`Output`: + +```console +Hello f(Kedro)! +Hello f(g(Kedro))! +Out[4]: {} +``` + +### Applying multiple decorators to nodes + +You can also provide a list of decorators as shown here: + +```python +hello_wrapped = node(apply_g(apply_h(say_hello)), 'name', None) +hello_decorated = hello_node.decorate(apply_g, apply_h) + +hello_wrapped.run(dict(name="Kedro")) +hello_decorated.run(dict(name="Kedro")) +``` + +`Output`: + +```console +Hello f(h(g(Kedro)))! +Hello f(h(g(Kedro)))! +``` + +Kedro comes with a few built-in decorators which are very useful when building your pipeline. You can learn more how to apply decorators to whole pipelines and the list of built-in decorators in [a separate section below](./05_nodes_and_pipelines.md#applying-decorators-on-pipelines). + +## Building pipelines + +To benefit from Kedro's automatic dependency resolution, nodes can be chained in a pipeline. A pipeline is a list of nodes that use a shared set of variables. + +In the following example, we construct a simple pipeline that computes the variance of a set of numbers. In practice, pipelines can use more complicated node definitions and variables usually correspond to entire datasets: + + +```python +def mean(xs, n): + return sum(xs) / n + + +def mean_sos(xs, n): + return sum(x*x for x in xs) / n + + +def variance(m, m2): + return m2 - m * m + + +pipeline = Pipeline([ + node(len, 'xs', 'n'), + node(mean, ['xs', 'n'], 'm', name='mean node'), + node(mean_sos, ['xs', 'n'], 'm2', name='mean sos'), + node(variance, ['m', 'm2'], 'v', name='variance node') +]) +``` + +`describe` can be used to understand what nodes are part of the pipeline: + + +```python +print(pipeline.describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: xs + +len([xs]) -> [n] +mean node +mean sos +variance node + +Outputs: v +################################## +``` + +### Merging pipelines + +You can merge multiple pipelines as shown below. Note that, in this case, `pipeline_de` and `pipeline_ds` are expanded to a list of their underlying nodes of nodes which are simply merged together: + + +```python +pipeline_de = Pipeline([ + node(len, 'xs', 'n'), + node(mean, ['xs', 'n'], 'm') +]) + +pipeline_ds = Pipeline([ + node(mean_sos, ['xs', 'n'], 'm2'), + node(variance, ['m', 'm2'], 'v') +]) + +last_node = node(print, 'v', None) + +pipeline_all = Pipeline([ + pipeline_de, + pipeline_ds, + last_node +]) +print(pipeline_all.describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: xs + +len([xs]) -> [n] +mean([n,xs]) -> [m] +mean_sos([n,xs]) -> [m2] +variance([m,m2]) -> [v] +print([v]) -> None + +Outputs: None +################################## +``` + +### Fetching pipeline nodes + +Pipelines provide access to their nodes in a topological order for enabling custom functionality, e.g. custom visualisation of pipelines. Each node has information about its inputs and outputs: + + +```python +nodes = pipeline.nodes +nodes +``` + +`Output`: + +```console +Out[5]: +[Node(len, 'xs', 'n', None), + Node(mean, ['xs', 'n'], 'm', 'mean node'), + Node(mean_sos, ['xs', 'n'], 'm2', 'mean sos'), + Node(variance, ['m', 'm2'], 'v', 'variance node')] + ``` + +```python +nodes[0].inputs +``` + +`Output`: + +```console +Out[6]: ['xs'] +``` + +## Bad pipelines + +As you notice, pipelines can usually readily resolve their dependencies. In some cases, resolution is not possible and pipelines are not well-formed. + +### Pipeline with bad nodes + +In this case we have a pipeline consisting of a single node with no input and output: + + +```python +try: + Pipeline([ + node(lambda: print('!'), None, None) + ]) +except Exception as e: + print(e) +``` + +`Output`: + +```console +Invalid Node definition: it must have some `inputs` or `outputs`. +Format should be: node(function, inputs, outputs) +``` + +### Pipeline with circular dependencies + +For every two variables where the first depends on the second, there must not be a way in which the second also depends on the first, otherwise, a circular dependency will prevent us from compiling the pipeline. + +The first node captures the relationship of how to calculate `y` from `x` and the second captures the relationship of how to calculate `x` knowing `y`. Both cannot coexist in the same pipeline: + +```python +try: + Pipeline([ + node(lambda x: x+1, 'x', 'y', name='first node'), + node(lambda y: y-1, 'y', 'x', name='second node') + ]) +except Exception as e: + print(e) +``` + +`Output`: + +```console +Circular dependencies exist among these items: ['first node: <lambda>([x]) -> [y]', 'second node: <lambda>([y]) -> [x]'] +``` + +## Running pipelines + +When running pipelines, it can be useful to check the inputs and outputs of a pipeline: + +```python +pipeline.inputs() +``` + +`Output`: + +```console +Out[7]: {'xs'} +``` + +```python +pipeline.outputs() +``` + +`Output`: + +```console +Out[8]: {'v'} +``` + +### Runners + +Runners are different execution mechanisms for running pipelines. They all inherit from `AbstractRunner`. You can use `SequentialRunner` to execute pipeline nodes one-by-one based on their dependencies. + +We recommend using `SequentialRunner` in cases where: + +- the pipeline has limited branching +- the pipeline is fast +- the resource consuming steps require most of a scarce resource (e.g., significant RAM, disk memory or CPU) +- `PySpark` is being used + + +Now we can execute the pipeline by providing a runner and values for each of the inputs. + +From the command line, you can run the pipeline as follows: + +```bash +kedro run +``` + +`Output`: + +```console +2019-04-26 17:19:01,341 - root - INFO - ** Kedro project new-kedro-project +2019-04-26 17:19:01,343 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/logging.yml +2019-04-26 17:19:01,349 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/catalog.yml +2019-04-26 17:19:01,351 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/credentials.yml +2019-04-26 17:19:01,352 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/parameters.yml +2019-04-26 17:19:01,360 - kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... +2019-04-26 17:19:01,387 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... +2019-04-26 17:19:01,437 - kedro.io.data_catalog - INFO - Saving data to `example_test_x` (MemoryDataSet)... +2019-04-26 17:19:01,439 - kedro.io.data_catalog - INFO - Saving data to `example_train_y` (MemoryDataSet)... +2019-04-26 17:19:01,443 - kedro.io.data_catalog - INFO - Saving data to `example_train_x` (MemoryDataSet)... +2019-04-26 17:19:01,447 - kedro.io.data_catalog - INFO - Saving data to `example_test_y` (MemoryDataSet)... +2019-04-26 17:19:01,447 - kedro.runner.sequential_runner - INFO - Completed 1 out of 4 tasks +2019-04-26 17:19:01,448 - kedro.io.data_catalog - INFO - Loading data from `example_train_x` (MemoryDataSet)... +2019-04-26 17:19:01,454 - kedro.io.data_catalog - INFO - Loading data from `example_train_y` (MemoryDataSet)... +2019-04-26 17:19:01,461 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... +2019-04-26 17:19:01,887 - kedro.io.data_catalog - INFO - Saving data to `example_model` (MemoryDataSet)... +2019-04-26 17:19:01,887 - kedro.runner.sequential_runner - INFO - Completed 2 out of 4 tasks +2019-04-26 17:19:01,888 - kedro.io.data_catalog - INFO - Loading data from `example_test_x` (MemoryDataSet)... +2019-04-26 17:19:01,888 - kedro.io.data_catalog - INFO - Loading data from `example_model` (MemoryDataSet)... +2019-04-26 17:19:01,890 - kedro.io.data_catalog - INFO - Saving data to `example_predictions` (MemoryDataSet)... +2019-04-26 17:19:01,891 - kedro.runner.sequential_runner - INFO - Completed 3 out of 4 tasks +2019-04-26 17:19:01,891 - kedro.io.data_catalog - INFO - Loading data from `example_predictions` (MemoryDataSet)... +2019-04-26 17:19:01,891 - kedro.io.data_catalog - INFO - Loading data from `example_test_y` (MemoryDataSet)... +2019-04-26 17:19:01,892 - new_kedro_project.nodes.example - INFO - Model accuracy on test set: 96.67% +2019-04-26 17:19:01,892 - kedro.runner.sequential_runner - INFO - Completed 4 out of 4 tasks +2019-04-26 17:19:01,892 - kedro.runner.sequential_runner - INFO - Pipeline execution completed successfully. +``` + +which will run the pipeline using `SequentialRunner` by default. You can also explicitly use `SequentialRunner` as follows: + +```bash +kedro run --runner=SequentialRunner +``` + +In case you want to run the pipeline using `ParallelRunner`, add a flag as follows: + +```bash +kedro run --parallel +``` + +or + +```bash +kedro run --runner=ParallelRunner +``` + +`Output`: + +```console +2019-04-26 17:20:45,012 - root - INFO - ** Kedro project new-kedro-project +2019-04-26 17:20:45,012 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/logging.yml +2019-04-26 17:20:45,014 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/catalog.yml +2019-04-26 17:20:45,016 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/credentials.yml +2019-04-26 17:20:45,016 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/parameters.yml +2019-04-26 17:20:45,081 - kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... +2019-04-26 17:20:45,099 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... +2019-04-26 17:20:45,115 - kedro.io.data_catalog - INFO - Saving data to `example_test_x` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,121 - kedro.io.data_catalog - INFO - Saving data to `example_test_y` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,123 - kedro.io.data_catalog - INFO - Saving data to `example_train_x` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,125 - kedro.io.data_catalog - INFO - Saving data to `example_train_y` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,135 - kedro.io.data_catalog - INFO - Loading data from `example_train_x` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,140 - kedro.io.data_catalog - INFO - Loading data from `example_train_y` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,142 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... +2019-04-26 17:20:45,437 - kedro.io.data_catalog - INFO - Saving data to `example_model` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,444 - kedro.io.data_catalog - INFO - Loading data from `example_test_x` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,449 - kedro.io.data_catalog - INFO - Loading data from `example_model` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,451 - kedro.io.data_catalog - INFO - Saving data to `example_predictions` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,457 - kedro.io.data_catalog - INFO - Loading data from `example_predictions` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,461 - kedro.io.data_catalog - INFO - Loading data from `example_test_y` (AutoProxy[MemoryDataSet])... +2019-04-26 17:20:45,466 - new_kedro_project.nodes.example - INFO - Model accuracy on test set: 100.00% +2019-04-26 17:20:45,494 - kedro.runner.parallel_runner - INFO - Pipeline execution completed successfully. +``` + +> *Note:* You cannot use both `--parallel` and `--runner` flags at the same time (e.g. `kedro run --parallel --runner=SequentialRunner` raises an exception). + +### Applying decorators on pipelines + +You can apply decorators on whole pipelines, the same way you apply decorators on single nodes. For example, if you want to apply the decorators defined in the earlier section to all pipeline nodes simultaneously, you can do so as follows: + +```python +hello_pipeline = Pipeline([ + node(say_hello, 'name1', None), + node(say_hello, 'name2', None) +]).decorate(apply_g, apply_h) + +SequentialRunner().run(hello_pipeline, DataCatalog({}, dict(name1="Kedro", name2="Python"))) +``` + +`Output`: + +```console +Hello f(h(g(Kedro)))! +Hello f(h(g(Python)))! +Out[9]: {} +``` + +Kedro has a couple of built-in decorators, which can be useful for monitoring your pipeline. You can find the built-in decorators in `kedro.pipeline.decorators`: + + - `log_time` will log the time taken for executing your node + - `mem_profile` will log the max memory usage of your node. `mem_profile` needs to perform at least 4 memory snapshots of your node and it will do them every 100ms, therefore it can be used only for nodes which take more than half a second to run. + +## Running pipelines with IO + +The above definition of pipelines only applies for non-stateful or "pure" pipelines that do not interact with the outside world. In practice, we would like to interact with APIs, databases, files and other sources of data. By combining IO and pipelines, we can tackle these more complex use cases. + +By using `DataCatalog` from the IO module we are still able to write pure functions that work with our data and outsource file saving and loading to `DataCatalog`. + +Through `DataCatalog`, we can control where inputs are loaded from, where intermediate variables get persisted and ultimately the location to which output variables are written: + +```python +io = DataCatalog(dict( + xs=MemoryDataSet() +)) +``` + +```python +io.list() +``` + +`Output`: + +```console +Out[10]: ['xs'] +``` + +```python +io.save('xs', [1, 2, 3]) +``` + +```python +SequentialRunner().run(pipeline, catalog=io) +``` + +`Output`: + +```console +Out[11]: {'v': 0.666666666666667} +``` + +In this simple example, we defined a `MemoryDataSet` called `xs` to store our inputs, saved our input list `[1, 2, 3]` into `xs`, then instantiated `SequentialRunner` and called its `run` method with the pipeline and data catalog instances. + +## Outputting to a file + +We can also use IO to save outputs to a file. In this example, we define a custom LambdaDataSet that would serialise the output to a file locally: + +```python +def save(value): + with open("./data/07_model_output/variance.pickle", "wb") as f: + pickle.dump(value, f) + +def load(): + with open("./data/07_model_output/variance.pickle", "rb") as f: + return pickle.load(f) + +pickler = LambdaDataSet(load=load, save=save) +io.add('v', pickler) +``` + +It is important to make sure that the data catalog variable name `v` matches the name `v` in the pipeline definition. + +Next we can confirm that this `LambdaDataSet` works: + +```python +io.save('v', 5) +``` + +```python +io.load('v') +``` + +`Ouput`: +```Console +Out[12]: 5 +``` + +Finally, let's run the pipeline again now serialising the output: + +```python +SequentialRunner().run(pipeline, catalog=io) +``` + +`Ouput`: + +```console +Out[13]: {} +``` + +Because the output has been persisted to a local file we don't see it directly, but it can be retrieved from the catalog: + +```python +io.load('v') +``` + +`Ouput`: +```console +Out[14]: 0.666666666666667 +``` + +```python +try: + os.remove("./data/07_model_output/variance.pickle") +except FileNotFoundError: + pass +``` + +## Partial pipelines + +Sometimes it is desirable to work with only a subset of a pipeline's nodes. Let's look at the example pipeline we created earlier: + +```python +print(pipeline.describe()) +``` + +`Ouput`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: xs + +len([xs]) -> [n] +mean node +mean sos +variance node + +Outputs: v +################################## +``` + +#### Partial pipeline starting from inputs +One way to specify a partial pipeline is by providing a set of pre-calculated inputs which should serve as a start of the partial pipeline. For example, in order to fetch the partial pipeline running from input `m2` downstream you can specify it like this: + +```python +print(pipeline.from_inputs('m2').describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: m, m2 + +variance node + +Outputs: v +################################## +``` + +Specifying that the partial pipeline from inputs `m` and `xs` is needed will result in the following pipeline: + +```python +print(pipeline.from_inputs('m', 'xs').describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: xs + +len([xs]) -> [n] +mean node +mean sos +variance node + +Outputs: v +################################## +``` + +As it can been seen from the pipeline description, adding `m` in the `from_inputs` list does not guarantee that it will not be recomputed if another provided input like `xs` forces recomputing it. + +#### Partial pipeline starting from nodes +Another way of selecting a partial pipeline is by specifying the nodes which should be used as a start of the new pipeline. For example you can do as follows: + +```python +print(pipeline.from_nodes('mean node').describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: m2, n, xs + +mean node +variance node + +Outputs: v +################################## +``` + +As you can see, this will create a partial pipeline starting from the specified node and continuing to all other nodes downstream. + +#### Partial pipeline from nodes with tags +One can also create a partial pipeline from the nodes that have specific tags attached to them. In order to construct a partial pipeline out of nodes that have both tag `t1` *AND* tag `t2`, you can run the following: + +```python +print(pipeline.only_nodes_with_tags('t1', 't2').describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: None + +Outputs: None +################################## +``` + +To construct a partial pipeline out of nodes that have tag `t1` *OR* tag `t2`, please execute the following: + +```python +partial_pipeline = pipeline.only_nodes_with_tags('t1') + pipeline.only_nodes_with_tags('t2') +print(partial_pipeline.describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: None + +Outputs: None +################################## +``` + +#### Running only some nodes +Sometimes you might need to run only some of the nodes in a pipeline. To do that, you can do as follows: + +```python +print(pipeline.only_nodes('mean node', 'mean sos').describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: n, xs + +mean node +mean sos + +Outputs: m, m2 +################################## +``` + +This will create a partial pipeline, consisting solely of the nodes you specify as arguments in the method call. + +#### Recreating Missing Outputs + +Kedro supports the automatic generation of partial pipelines that take into account existing node outputs. This can be helpful to avoid re-running nodes which take a long time. + +Kedro supports the automatic generation of partial pipelines that take into account existing node outputs. This can be helpful to avoid re-running nodes that take a long time: + +```python +print(pipeline.describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: xs + +len([xs]) -> [n] +mean node +mean sos +variance node + +Outputs: v +################################## +``` + +To demonstrate this, let us save the intermediate output `n` using a `JSONLocalDataSet`. + +```python +n_json = JSONLocalDataSet(filepath="./data/07_model_output/len.json") +io = DataCatalog(dict( + xs=MemoryDataSet([1, 2, 3]), + n=n_json, +)) +``` + +Because `n` was not saved previously, checking for its existence returns `False`: + +```python +io.exists('n') +``` + +`Output`: + +```console +Out[15]: False +``` + +Running the pipeline calculates `n` and saves the result to disk: + +```python +SequentialRunner().run(pipeline, io) +``` + +`Output`: + +```console +Out[16]: {'v': 0.666666666666667} +``` + +```python +io.exists('n') +``` + +`Output`: + +```console +Out[17]: True +``` + + +We can avoid re-calculating `n` (and all other results that have already been saved) by using the `Runner.run_only_missing` method. Note that the first node of the original pipeline (`len([xs]) -> [n]`) has been removed: + +```python +SequentialRunner().run_only_missing(pipeline, io) +``` + +`Ouput`: + +```console +Out[18]: {'v': 0.666666666666667} +``` + +```python +try: + os.remove("./data/07_model_output/len.json") +except FileNotFoundError: + pass +``` diff --git a/docs/source/04_user_guide/06_logging.md b/docs/source/04_user_guide/06_logging.md new file mode 100644 index 0000000000..62825a70e1 --- /dev/null +++ b/docs/source/04_user_guide/06_logging.md @@ -0,0 +1,31 @@ +# Logging +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +Kedro uses, and facilitates the use of Python’s `logging` library, by providing a default logging configuration. This can be found in `conf/base/logging.yml` in every project generated using Kedro’s CLI `kedro new` command. + +## Configure logging + +You can configure the logging by simply adding the following lines at the entry point of your application (e.g., `src/<package_name>/run.py`): + +```python +from logging.config import dictConfig +from kedro.config import ConfigLoader + +conf_paths = ['conf/base', 'conf/local'] +conf_loader = ConfigLoader(conf_paths) +conf_logging = conf_loader.get('logging*', 'logging*/**') +dictConfig(conf_logging) +``` + +The configuration should comply with the guidelines from the `logging` library. Find more about it [here](https://docs.python.org/3/library/logging.html). + +## Use logging + +After configuring the logging using the example above, `kedro` will start emitting the logs automatically. To log your own code, you are advised to do the following: + +```python +import logging +log = logging.getLogger(__name__) +log.warning('Issue warning') +log.info('Send information') +``` diff --git a/docs/source/04_user_guide/07_advanced_io.md b/docs/source/04_user_guide/07_advanced_io.md new file mode 100644 index 0000000000..63c6da35fc --- /dev/null +++ b/docs/source/04_user_guide/07_advanced_io.md @@ -0,0 +1,184 @@ +# Advanced IO + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +In this tutorial, you will learn about advanced uses of the [Kedro IO](/kedro.io.rst) module and understand the underlying implementation. + +Relevant API documentation: +* [AbstractDataSet](/kedro.io.AbstractDataSet) +* [DataSetError](/kedro.io.DataSetError) + +## Error handling + +We have custom exceptions for the main classes of errors that you can handle to deal with failures. + +```python +from kedro.io import * +``` + +```python +io = DataCatalog(data_sets=dict()) # empty catalog + +try: + cars_df = io.load('cars') +except DataSetError: + print("Error raised.") +``` + + +## AbstractDataSet + +To understand what is going on behind the scenes, you should study the [AbstractDataSet interface](/kedro.io.AbstractDataSet). `AbstractDataSet` is the underlying interface that all datasets extend. It requires subclasses to override the `_load` and `_save` and provides `load` and `save` methods that enrich the corresponding private methods with uniform error handling. It also requires subclasses to override `_describe`, which is used in logging the internal information about the instances of your custom `AbstractDataSet` implementation. + +If you have a dataset called `parts`, you can make direct calls to it like so: + +```python +parts_df = parts.load() +``` + +However, we recommend using a `DataCatalog` instead (for more details, see [this section](../04_user_guide/04_data_catalog.md) in the User Guide) as it has been designed to make all datasets available to project members. + +For contributors, if you would like to submit a new dataset, you will have to extend `AbstractDataSet`. + + +## Versioning + +In order to enable versioning, all of the following conditions must be met: + +1. The dataset must: + 1. extend `kedro.io.core.FilepathVersionMixin` AND + 2. add `version` namedtuple as an argument to its `__init__` method AND + 3. modify its `_load` and `_save` methods respectively to support versioning (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) for an example implementation) +2. In the `catalog.yml` config file you must enable versioning by setting `versioned` attribute to `true` for the given dataset. + +### `version` namedtuple + +Versioned dataset `__init__` method must have an optional argument called `version` with a default value of `None`. If provided, this argument must be an instance of [`kedro.io.core.Version`](/kedro.io.Version). Its `load` and `save` attributes must either be `None` or contain string values representing exact load and save versions: + +* If `version` is `None` then the dataset is considered *not versioned*. +* If `version.load` is `None` then the latest available version will be used to load the dataset, otherwise a string representing exact load version must be provided. +* If `version.save` is `None` then a new save version string will be generated by calling `kedro.io.core.generate_current_version()`, otherwise a string representing exact save version must be provided. + +### Versioning using the YAML API + +The easiest way to version a specific dataset is to change the corresponding entry in the `catalog.yml`. + +> *Note:* `catalog.yml` only allows you to choose to version your datasets but it does not allow to choose which version to load or save. In rare case it is strongly required you may want to instantiate your versioned datasets using Code API and define version parameter explicitly (see the [corresponding section](#versioning-using-the-code-api) below). + +For example, if the following dataset was defined in the `catalog.yml`: + +```yaml +cars.csv: + type: CSVLocalDataSet + filepath: data/01_raw/company/cars.csv + versioned: true +``` + +the `DataCatalog` will create a versioned `CSVLocalDataSet` called `cars.csv`. The actual csv file location will look like `data/01_raw/company/cars.csv/<version>/cars.csv`, where `<version>` corresponds to a global save version string formatted as `YYYY-MM-DDThh.mm.ss.sssZ`. Every time the `DataCatalog` is instantiated, it generates a new global save version, which is propagated to all versioned datasets it contains. + +> **Important:** the `DataCatalog` does not re-generate save versions between instantiations. Therefore, if you call `catalog.save('cars.csv', some_data)` twice, then the second call will fail, since it tries to overwrite a versioned dataset using the same save version. This limitation does not apply to `load` operation. + +By default, the `DataCatalog` will load the latest version of the dataset. However, it is also possible to specify an exact load version. In order to do that, you can pass a dictionary with exact load versions to `DataCatalog.from_config`: + +```python +load_versions = {'cars.csv': '2019-02-13T14.35.36.518Z'} +io = DataCatalog.from_config(catalog_config, credentials, load_versions=load_versions) +cars = io.load('cars.csv') +``` + +The last row in the example above would attempt to load a CSV file from `data/01_raw/company/cars.csv/2019-02-13T14.35.36.518Z/cars.csv`. + +> `load_versions` configuration has an effect only if a dataset versioning has been enabled in the catalog config file - see the example above. + +> **Important:** we recommend not to override `save_version` argument in `DataCatalog.from_config` unless strongly required to do so, since it may lead to inconsistencies between loaded and saved versions of the versioned datasets. + +### Versioning using the Code API + +Although we recommend enabling versioning using the `catalog.yml` config file as described in the section above, you may require more control over load and save versions of a specific dataset. To achieve this you can instantiate `Version` and pass it as a parameter to the dataset initialisation: + +```python +from kedro.io import CSVLocalDataSet, DataCatalog, Version +import pandas as pd + +data1 = pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) +data2 = pd.DataFrame({"col1": [7], "col2": [8], "col3": [9]}) +version = Version( + load=None, # load the latest available version + save=None, # generate save version automatically on each save operation +) +test_data_set = CSVLocalDataSet( + filepath="data/01_raw/test.csv", + save_args={"index": False}, + version=version, +) +io = DataCatalog({"test_data_set": test_data_set}) + +# save the dataset to data/01_raw/test.csv/<version>/test.csv +io.save("test_data_set", data1) +# save the dataset into a new file data/01_raw/test.csv/<version>/test.csv +io.save("test_data_set", data2) + +# load the latest version from data/test.csv/*/test.csv +reloaded = io.load("test_data_set") +assert data2.equals(reloaded) +``` + +> *Note:* In the example above we did not fix any versions. If we do, then the behaviour of load and save operations becomes slightly different: + +```python +version = Version( + load="my_exact_version", # load exact version + save="my_exact_version", # save to exact version +) +test_data_set = CSVLocalDataSet( + filepath="data/01_raw/test.csv", + save_args={"index": False}, + version=version, +) +io = DataCatalog({"test_data_set": test_data_set}) + +# save the dataset to data/01_raw/test.csv/my_exact_version/test.csv +io.save("test_data_set", data1) +# load from data/01_raw/test.csv/my_exact_version/test.csv +reloaded = io.load("test_data_set") +assert data1.equals(reloaded) + +# raises DataSetError since the path +# data/01_raw/test.csv/my_exact_version/test.csv already exists +io.save("test_data_set", data2) +``` + +> **Important:** Passing exact load and/or save versions to the dataset instantiation is not recommended, since it may lead to inconsistencies between operations. For example, if versions for load and save operations do not match, save operation would result in a `UserWarning` indicating that save a load versions do not match. Load after save may also return an error if the corresponding load version is not found: + +```python +version = Version( + load="exact_load_version", # load exact version + save="exact_save_version" # save to exact version +) +test_data_set = CSVLocalDataSet( + filepath="data/01_raw/test.csv", + save_args={"index": False}, + version=version, +) +io = DataCatalog({"test_data_set": test_data_set}) + +io.save("test_data_set", data1) # emits a UserWarning due to version inconsistency + +# raises DataSetError since the data/01_raw/test.csv/exact_load_version/test.csv +# file does not exist +reloaded = io.load("test_data_set") +``` + +### Supported datasets + +Currently the following datasets support versioning: + +- `CSVLocalDataSet` +- `CSVS3DataSet` +- `HDFLocalDataSet` +- `JSONLocalDataSet` +- `ParquetLocalDataSet` +- `PickleLocalDataSet` +- `PickleS3DataSet` +- `TextLocalDataSet` +- `ExcelLocalDataSet` diff --git a/docs/source/04_user_guide/08_pyspark.md b/docs/source/04_user_guide/08_pyspark.md new file mode 100644 index 0000000000..4ec9dfd335 --- /dev/null +++ b/docs/source/04_user_guide/08_pyspark.md @@ -0,0 +1,137 @@ +# Working with PySpark + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +In this tutorial we explain how to work with `PySpark` in a Kedro pipeline. + +Relevant API documentation: [SparkDataSet](/kedro.contrib.io.pyspark) + +## Initialising a `SparkSession` + +Before any `PySpark` operations are performed, you should initialise your `SparkSession`, typically in your application's entry point before running the pipeline. + +For example, if you are using Kedro's project template, then you could create a function `init_spark_session()` in `src/<your_project_name>/run.py` as follows: + +```python +from pyspark.sql import SparkSession +from kedro.config import ConfigLoader +from kedro.runner import SequentialRunner + +# ... + +def init_spark_session(aws_access_key, aws_secret_key): + # select only/add more config options as per your needs + return ( + SparkSession.builder.master("local[*]") + .appName("kedro") + .config("spark.driver.memory", "4g") + .config("spark.driver.maxResultSize", "3g") + .config("spark.hadoop.fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem") + .config("spark.sql.execution.arrow.enabled", "true") + .config("spark.jars.packages", "org.apache.hadoop:hadoop-aws:2.7.5") + .config("spark.jars.excludes", "joda-time:joda-time") + .config("fs.s3a.access.key", aws_access_key) + .config("fs.s3a.secret.key", aws_secret_key) + .getOrCreate() + ) + +def main(): + + # ... + + config = ConfigLoader(["conf/base", "conf/local"]) + credentials = config.get("credentials*", "credentials*/**") + + # Initialise SparkSession + spark = init_spark_session(credentials["aws"]["access_key"], + credentials["aws"]["secret_key"]) + + # Run the pipeline + io.add_feed_dict({'parameters': parameters}, replace=True) + SequentialRunner().run(pipeline, io) +``` + +Since `SparkSession` is a [singleton](https://python-3-patterns-idioms-test.readthedocs.io/en/latest/Singleton.html), the next time you call `SparkSession.builder.getOrCreate()` you will be provided with the same `SparkSession` you initialised at your app's entry point. + + +## Creating a `SparkDataSet` + +Having created a `SparkSession`, you can load your data using `PySpark`'s [DataFrameReader](https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrameReader). + +To do so, please use the provided [SparkDataSet](/kedro.contrib.io.pyspark): + +### Code API + +```python +import pyspark.sql +from kedro.io import DataCatalog +from kedro.contrib.io.pyspark import SparkDataSet + +spark_ds = SparkDataSet( + filepath="s3a://your_bucket/data/01_raw/weather*", + file_format="csv", + load_args={"header": True, "inferSchema": True}, + save_args={"sep": "|", "header": True}, + +) +catalog = DataCatalog({"weather": spark_ds}) + +df = catalog.load("weather") +assert isinstance(df, pyspark.sql.DataFrame) +``` + +### YAML API + +In `catalog.yml`: +```yaml +weather: + type: kedro.contrib.io.pyspark.SparkDataSet + filepath: s3a://your_bucket/data/01_raw/weather* + file_format: csv + load_args: + header: True + inferSchema: True + save_args: + sep: '|' + header: True +``` + +In `run.py`: + +```python +import pyspark.sql +from kedro.io import DataCatalog +from kedro.config import ConfigLoader + +config = ConfigLoader(["conf/base", "conf/local"]) +catalog = DataCatalog.from_config( + config.get("catalog*", "catalog*/**"), + config.get("credentials*", "credentials*/**"), +) +df = catalog.load("weather") +assert isinstance(df, pyspark.sql.DataFrame) +``` + +## Working with PySpark and Kedro pipelines + +Continuing from the example of the previous section, since `catalog.load("weather")` returns a `pyspark.sql.DataFrame`, any Kedro pipeline nodes which have `weather` as an input will be provided with a `PySpark` dataframe: + +```python +from kedro.io import DataCatalog +from kedro.pipeline import Pipeline, node +from kedro.config import ConfigLoader +from kedro.runner import SequentialRunner + + +def my_node(weather): + weather.show() # weather is a pyspark.sql.DataFrame + +def main(): + config = ConfigLoader(["conf/base", "conf/local"]) + io = DataCatalog.from_config( + config.get("catalog*", "catalog*/**"), + config.get("credentials*", "credentials*/**"), + ) + pipeline = Pipeline([node(my_node, "weather", None)]) + SequentialRunner().run(pipeline, io) +``` diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md new file mode 100644 index 0000000000..3298a7114d --- /dev/null +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -0,0 +1,70 @@ +# Developing Kedro plugins + +## Overview + +Kedro uses various entry points in the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) to provide plugin functionality. + +While running, plugins may request information about the current project by calling `kedro.cli.get_project_context(key, default=NO_DEFAULT)`. + +This function provides access to the verbose flag via the key `verbose` and to anything returned by the project's `__kedro_context__`. The returned context dictionary must contain at least the following keys and values: +* _template_version_: the version of Kedro the project was created with, or `None` if the project was not created with `kedro new`. +* _project_path_: the path to the directory where `kedro_cli.py` is located. +* _get_config_: a function that takes the `project_path` and returns a `kedro.config.ConfigLoader` instance. +* _create_catalog_: a function that takes the config returned by `get_config` and returns a kedro.io.DataCatalog instance. +* _create_pipeline_: a function that returns a kedro.pipeline.Pipeline instance. + +>*Note*: Plugins may require additional keys be added to `__kedro_context__` in `run.py`. + +## Initialisation + +If the plugin needs to do initialisation prior to Kedro starting, it can declare the `entry_point` key `kedro.init`. This entry point must refer to a function that currently has no arguments, but for future proofing you should declare it with `**kwargs`. + +## global and project commands + +Plugins may also add commands to the Kedro CLI, which supports two types of commands: +* _global_ - available both inside and outside a Kedro project +* _project_ - available only when a Kedro project is detected in the current directory. + +Global commands use the `entry_point` key `kedro.global_commands`. Project commands use the `entry_point` key `kedro.project_commands`. + +## Working with `click` + +Commands must be provided as [`click` `Groups`](https://click.palletsprojects.com/en/7.x/api/#click.Group) + +The `click` `Group` will be merged into the main CLI Group. In the process, the options on the group are lost, as is any processing that was done as part of its callback function. + +## Example of a simple plugin + +A simple plugin that prints the pipeline as JSON might look like: + +`kedrojson/plugin.py` + +```python +import click +from kedro.cli import get_project_context + + +@click.group(name="JSON") +def commands(): + """ Kedro plugin for printing the pipeline in JSON format """ + pass + + +@commands.command() +def to_json(): + """ Display the pipeline in JSON format """ + pipeline = get_project_context('create_pipeline')() + print(pipeline.to_json()) +``` + +And have the following entry_points config in `setup.py`: +```python +entry_points={ + 'kedro.project_commands': ['kedrojson = kedrojson.plugin:commands'], +} +``` + +Once the plugin is installed, you can run it as follows: +```bash +kedro to_json +``` diff --git a/docs/source/04_user_guide/data/01_raw/2015_points_old.csv b/docs/source/04_user_guide/data/01_raw/2015_points_old.csv new file mode 100755 index 0000000000..4375b4d603 --- /dev/null +++ b/docs/source/04_user_guide/data/01_raw/2015_points_old.csv @@ -0,0 +1,23 @@ +name,point_1,point_2,point_3,point_4,point_5,point_6,point_7,point_8,point_9,point_10,point_11,point_12,point_13,point_14,point_15,point_16,point_17,point_18,point_19 +Lewis_Hamilton,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10 +Nico_Rosberg,8,6,6,8,8,8,8,8,8,8,8,8,8,8,6,6,8,8,8 +Sebastian_Vettel,6,8,8,6,6,6,6,6,6,6,6,6,6,6,8,8,6,6,6 +Felipe_Massa,5,5,5,4,3,3,3,3,3,3,4,5,3,3,3,3,3,3,3 +Felipe_Nasr,4,3,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Daniel_Ricciardo,3,1,1,2,2,2,2,2,2,2,1,1,2,2,1,1,1,1,1 +Nico_Hülkenberg,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Marcus_Ericsson,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Carlos_Sainz,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Sergio_Pérez,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Jenson_Button,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Kimi_Räikkönen,0,4,4,5,5,5,5,5,4,4,5,4,5,5,5,5,4,4,5 +Max_Verstappen,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Romain_Grosjean,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Pastor_Maldonado,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Daniil_Kvyat,0,0,0,0,0,1,1,1,1,1,2,2,1,1,2,2,2,2,2 +Kevin_Magnussen,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Valtteri_Bottas,0,2,3,3,4,4,4,4,5,5,3,3,4,4,4,4,5,5,4 +Roberto_Merhi,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Fernando_Alonso,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Will_Stevens,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Alexander_Rossi,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 diff --git a/docs/source/04_user_guide/data/01_raw/2016_points_old.csv b/docs/source/04_user_guide/data/01_raw/2016_points_old.csv new file mode 100755 index 0000000000..b4d9f598ed --- /dev/null +++ b/docs/source/04_user_guide/data/01_raw/2016_points_old.csv @@ -0,0 +1,25 @@ +name,point_1,point_2,point_3,point_4,point_5,point_6,point_7,point_8,point_9,point_10,point_11,point_12,point_13,point_14,point_15,point_16,point_17,point_18,point_19,point_20,point_21 +Nico_Rosberg,10,10,10,10,10,10,10,10,10,10,8,8,8,8,10,10,10,10,10,10,10 +Lewis_Hamilton,8,8,8,8,6,8,8,8,8,8,10,10,10,10,8,8,8,8,8,8,8 +Sebastian_Vettel,6,3,5,4,5,4,6,6,6,4,4,4,5,5,5,4,3,5,5,5,5 +Daniel_Ricciardo,5,6,6,5,4,6,5,4,4,5,6,6,6,6,6,6,6,6,6,6,6 +Felipe_Massa,4,2,3,3,2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Romain_Grosjean,3,4,1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Nico_Hülkenberg,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Valtteri_Bottas,1,0,0,0,1,1,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1 +Carlos_Sainz,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Max_Verstappen,0,1,0,0,3,3,3,3,3,3,3,3,3,3,3,3,4,3,3,4,4 +Jolyon_Palmer,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Kevin_Magnussen,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Sergio_Pérez,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,2,2,2,2 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a/docs/source/05_api_docs/_templates/autosummary/base.rst b/docs/source/05_api_docs/_templates/autosummary/base.rst new file mode 100644 index 0000000000..b7556ebf7b --- /dev/null +++ b/docs/source/05_api_docs/_templates/autosummary/base.rst @@ -0,0 +1,5 @@ +{{ fullname | escape | underline}} + +.. currentmodule:: {{ module }} + +.. auto{{ objtype }}:: {{ objname }} diff --git a/docs/source/05_api_docs/_templates/autosummary/class.rst b/docs/source/05_api_docs/_templates/autosummary/class.rst new file mode 100644 index 0000000000..7b269523c6 --- /dev/null +++ b/docs/source/05_api_docs/_templates/autosummary/class.rst @@ -0,0 +1,9 @@ +{{ fullname | escape | underline}} + +.. currentmodule:: {{ module }} + +.. autoclass:: {{ objname }} + :members: + :undoc-members: + :show-inheritance: + :inherited-members: diff --git a/docs/source/05_api_docs/_templates/autosummary/module.rst b/docs/source/05_api_docs/_templates/autosummary/module.rst new file mode 100644 index 0000000000..0957773d08 --- /dev/null +++ b/docs/source/05_api_docs/_templates/autosummary/module.rst @@ -0,0 +1,29 @@ +{{ fullname | escape | underline }} + +.. rubric:: Description + +.. automodule:: {{ fullname }} + +.. currentmodule:: {{ fullname }} + +{% if classes %} +.. rubric:: Classes + +.. autosummary:: + :toctree: . + {% for class in classes %} + {{ class }} + {% endfor %} + +{% endif %} + +{% if functions %} +.. rubric:: Functions + +.. autosummary:: + :toctree: . + {% for function in functions %} + {{ function }} + {% endfor %} + +{% endif %} diff --git a/docs/source/05_api_docs/index.rst b/docs/source/05_api_docs/index.rst new file mode 100644 index 0000000000..746ae6a5e8 --- /dev/null +++ b/docs/source/05_api_docs/index.rst @@ -0,0 +1,75 @@ +.. Kedro documentation master file, created by + sphinx-quickstart on Mon Dec 18 11:31:24 2017. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + + +Welcome to Kedro's API docs and tutorials! +============================================= + + +.. toctree:: + :maxdepth: 2 + :caption: Introduction + + 01_introduction/01_introduction + + +.. toctree:: + :maxdepth: 2 + :caption: Getting Started + + 02_getting_started/01_prerequisites + 02_getting_started/02_install + 02_getting_started/03_new_project + 02_getting_started/04_hello_world + + +.. toctree:: + :maxdepth: 2 + :caption: Tutorial + + 03_tutorial/01_workflow + 03_tutorial/02_tutorial_template + 03_tutorial/03_set_up_data + 03_tutorial/04_create_pipelines + 03_tutorial/05_package_a_project + + +.. toctree:: + :maxdepth: 2 + :caption: User Guide + + 04_user_guide/01_setting_up_vscode + 04_user_guide/02_setting_up_pycharm + 04_user_guide/03_configuration + 04_user_guide/04_data_catalog + 04_user_guide/05_nodes_and_pipelines + 04_user_guide/06_logging + 04_user_guide/07_advanced_io + 04_user_guide/08_pyspark + 04_user_guide/09_developing_plugins + + +.. toctree:: + :maxdepth: 2 + :caption: Resources + + 06_resources/01_faq + 06_resources/02_commands_reference + 06_resources/03_ipython + 06_resources/04_lint + + +.. toctree:: + :maxdepth: 3 + :caption: API Docs + + kedro + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/docs/source/05_api_docs/kedro.config.rst b/docs/source/05_api_docs/kedro.config.rst new file mode 100644 index 0000000000..7c5fc64cf5 --- /dev/null +++ b/docs/source/05_api_docs/kedro.config.rst @@ -0,0 +1,12 @@ +kedro.config +============= + +.. currentmodule:: kedro.config + +.. automodule:: kedro.config + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.config.ConfigLoader diff --git a/docs/source/05_api_docs/kedro.contrib.io.rst b/docs/source/05_api_docs/kedro.contrib.io.rst new file mode 100644 index 0000000000..76392f7a32 --- /dev/null +++ b/docs/source/05_api_docs/kedro.contrib.io.rst @@ -0,0 +1,15 @@ +kedro.contrib.io +================ + +.. currentmodule:: kedro.contrib.io + +.. automodule:: kedro.contrib.io + +.. autosummary:: + :toctree: + :template: autosummary/module.rst + + kedro.contrib.io.catalog_with_default + kedro.contrib.io.azure + kedro.contrib.io.bioinformatics + kedro.contrib.io.pyspark diff --git a/docs/source/05_api_docs/kedro.contrib.rst b/docs/source/05_api_docs/kedro.contrib.rst new file mode 100644 index 0000000000..5253621bcb --- /dev/null +++ b/docs/source/05_api_docs/kedro.contrib.rst @@ -0,0 +1,14 @@ +kedro.contrib +============= + +.. currentmodule:: kedro.contrib + +.. automodule:: kedro.contrib + +.. autosummary:: + :toctree: + :template: autosummary/module.rst + + kedro.contrib.io + kedro.contrib.colors + kedro.contrib.decorators diff --git a/docs/source/05_api_docs/kedro.io.rst b/docs/source/05_api_docs/kedro.io.rst new file mode 100644 index 0000000000..8194b91885 --- /dev/null +++ b/docs/source/05_api_docs/kedro.io.rst @@ -0,0 +1,61 @@ +kedro.io +======== + +.. currentmodule:: kedro.io + +.. automodule:: kedro.io + +Data Catalog +------------ + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.io.DataCatalog + +Data Sets +--------- + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.io.CSVLocalDataSet + kedro.io.CSVS3DataSet + kedro.io.HDFLocalDataSet + kedro.io.JSONLocalDataSet + kedro.io.LambdaDataSet + kedro.io.MemoryDataSet + kedro.io.ParquetLocalDataSet + kedro.io.PickleLocalDataSet + kedro.io.PickleS3DataSet + kedro.io.SQLTableDataSet + kedro.io.SQLQueryDataSet + kedro.io.TextLocalDataSet + kedro.io.ExcelLocalDataSet + +Errors +------ + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.io.DataSetAlreadyExistsError + kedro.io.DataSetError + kedro.io.DataSetNotFoundError + + +Base Classes +------------ + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.io.AbstractDataSet + kedro.io.ExistsMixin + kedro.io.FilepathVersionMixIn + kedro.io.S3PathVersionMixIn + kedro.io.Version diff --git a/docs/source/05_api_docs/kedro.pipeline.rst b/docs/source/05_api_docs/kedro.pipeline.rst new file mode 100644 index 0000000000..2c4b21379d --- /dev/null +++ b/docs/source/05_api_docs/kedro.pipeline.rst @@ -0,0 +1,19 @@ +kedro.pipeline +================= + +.. currentmodule:: kedro.pipeline + +.. automodule:: kedro.pipeline + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.pipeline.Pipeline + kedro.pipeline.node.Node + +.. autosummary:: + :toctree: + :template: autosummary/base.rst + + kedro.pipeline.node diff --git a/docs/source/05_api_docs/kedro.rst b/docs/source/05_api_docs/kedro.rst new file mode 100644 index 0000000000..c03a40c534 --- /dev/null +++ b/docs/source/05_api_docs/kedro.rst @@ -0,0 +1,13 @@ +kedro +======== + +.. automodule:: kedro + +.. autosummary:: + :toctree: + + kedro.io + kedro.config + kedro.pipeline + kedro.runner + kedro.contrib diff --git a/docs/source/05_api_docs/kedro.runner.rst b/docs/source/05_api_docs/kedro.runner.rst new file mode 100644 index 0000000000..709b8f491f --- /dev/null +++ b/docs/source/05_api_docs/kedro.runner.rst @@ -0,0 +1,14 @@ +kedro.runner +================= + +.. currentmodule:: kedro.runner + +.. automodule:: kedro.runner + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.runner.AbstractRunner + kedro.runner.SequentialRunner + kedro.runner.ParallelRunner diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md new file mode 100644 index 0000000000..22417f5ed6 --- /dev/null +++ b/docs/source/06_resources/01_faq.md @@ -0,0 +1,130 @@ +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +# Frequently asked questions + +## What is Kedro? + +[Kedro](https://github.com/quantumblacklabs/kedro) is a workflow development tool that helps you build data pipelines that are robust, scaleable, deployable, reproducible and versioned. It was originally designed by [Aris Valtazanos](https://github.com/arisvqb) and [Nikolaos Tsaousis](https://github.com/tsanikgr) at [QuantumBlack](https://github.com/quantumblacklabs/) to solve the challenges they faced in their project work. + +### Philosophy + +Kedro is a Python library and lightly opinionated framework. This means that we give you the flexibility and extensibility of a standard Python library and make very few assumptions on the _best_ way to do things. We have created independent but friendly modules – modules that understand each others' defaults and are compatible. You can use alternative methods and choose to use one or all of the modules but it is understood that using Kedro in its entirety is the best thing that you can do for your projects. + +### Principles + +The Kedro design principles are: + +- Declarative definitions +- Composability +- Flexibility +- Extensibility +- Simplicity + +## What version of Python does Kedro use? + +Kedro is built for Python 3.5+. + +## What are the primary advantages of Kedro? + +It is important to consider the primary advantages of Kedro over existing tools. As we see it, Kedro: + +- Is designed to assist both during development and production, allowing quick iterations +- Enforces separation of concerns between data processing and data storing +- Does the heavy lifting for dependency resolution +- Passes data between nodes for faster iterations during development + + +## How does Kedro compare to other projects? + +Data pipelines consist of extract-transform-load (ETL) workflows. If we understand that data pipelines must be scaleable, monitored, versioned, testable and modular then this introduces us to a spectrum of tools that can be used to construct such data pipelines. `Pipeline` abstraction is implemented in workflow schedulers like Luigi and Airflow, as well as in ETL frameworks like Bonobo ETL and Bubbles. + +### Kedro vs workflow schedulers + +We see Airflow and Luigi as complementary frameworks: Airflow and Luigi are tools that handle deployment, scheduling, monitoring and alerting. Kedro is the _worker_ that should execute a series of tasks, and report to the Airflow and Luigi _managers_. We are building integrations for both tools and intend these integrations to offer a faster prototyping time and reduce the barriers to entry associated with moving pipelines to both workflow schedulers. + +### Kedro vs other ETL frameworks + +The primary differences to Bonobo ETL and Bubbles are related to the following features of Kedro: + + - **Ability to support big data operations**. Kedro supports big data operations by allowing you to use PySpark on your projects. We also look at processing dataframes differently to both tools as we consider entire dataframes and do not make use of the slower line-by-line data stream processing. + - **Project structure**. Kedro provides a built-in project structure from the beginning of your project configured for best-practice project management. + - **Automatic dependency resolution for pipelines**. The `Pipeline` module also maps out dependencies between nodes and displays the results of this in a sophisticated but easy to understand directed acyclic graph. + - Extensibility + +## What is data engineering convention? + +[Bruce Philp](https://github.com/bruceaphilp) and [Guilherme Braccialli](https://github.com/gbraccialli-qb) at [QuantumBlack](https://github.com/quantumblacklabs) are the brains behind this model of managing data. To see which data layer to use, you can refer to the following table. + +> *Note:* The data layers don’t have to exist locally in the `data` folder within your project. It is recommended that you structure your S3 buckets or other data stores in a similar way. + +```eval_rst ++----------------+---------------------------------------------------------------------------------------------------+ +| Folder in data | Description | ++================+===================================================================================================+ +| Raw | Initial start of the pipeline, containing the sourced data model(s) that should never be changed, | +| | it forms your single source of truth to work from. These data models are typically un-typed in | +| | most cases e.g. csv, but this will vary from case to case. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Intermediate | Optional data model(s), which are introduced to type your :code:`raw` data model(s), e.g. | +| | converting string based values into their current typed representation. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Primary | Domain specific data model(s) containing cleansed, transformed and wrangled data from either | +| | :code:`raw` or :code:`intermediate`, which forms your layer that you input into your feature | +| | engineering. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Feature | Analytics specific data model(s) containing a set of features defined against the :code:`primary` | +| | data, which are grouped by feature area of analysis and stored against a common dimension. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Model input | Analytics specific data model(s) containing all :code:`feature` data against a common dimension | +| | and in the case of live projects against an analytics run date to ensure that you track the | +| | historical changes of the features over time. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Models | Stored, serialised pre-trained machine learning models. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Model output | Analytics specific data model(s) containing the results generated by the model based on the | +| | :code:`model input` data. | ++----------------+---------------------------------------------------------------------------------------------------+ +| Reporting | Reporting data model(s) that are used to combine a set of :code:`primary`, :code:`feature`, | +| | :code:`model input` and :code:`model output` data used to drive the dashboard and the views | +| | constructed. It encapsulates and removes the need to define any blending or joining of data, | +| | improve performance and replacement of presentation layer without having to redefine the data | +| | models. | ++----------------+---------------------------------------------------------------------------------------------------+ +``` + + +## What best practice should I follow to avoid leaking confidential data? + +* Avoid committing data to version control (data folder is by default ignored via `.gitignore`) +* Avoid committing data to notebook output cells (data can easily sneak into notebooks when you don't delete output cells) +* Don't commit sensitive results or plots to version control (in notebooks or otherwise) +* Don't commit credentials in `conf/`. There are two default folders for adding configuration - `conf/base/` and `conf/local/`. Only the `conf/local/` folder should be used for sensitive information like access credentials. To add credentials, please refer to the `conf/base/credentials.yml` file in the project template. +* By default any file inside the `conf/` folder (and its subfolders) containing `credentials` in its name will be ignored via `.gitignore` and not commited to your git repository. +* To describe where your colleagues can access the credentials, you may edit the `README.md` to provide instructions. + +## Where do I store my custom editor configuration? + +You can use `conf/local` to describe your custom editor configuration. + +## How do I look up an API function? + +Every Kedro function or class has extensive help, so please do take advantage of this capability, example of this is presented below: + +```python +help(MemoryDataSet) +``` + +## How do I build documentation for my project? + +Project-specific documentation can be generated by running `kedro build-docs` in the project root directory. This will create documentation based on the code structure. Documentation will also include the [`docstrings`](https://www.datacamp.com/community/tutorials/docstrings-python) defined in the project code. + +HTML files for the project documentation will be built to `docs/build/html`. + +## How do I build documentation about Kedro? + +A local copy of documentation about Kedro can be generated by running `kedro docs` from the command line. The documentation is also available [online](https://kedro.readthedocs.io). + +## How can I find out more about Kedro? + +Kedro is on GitHub, and our preferred community channel for feedback is through [GitHub issues](https://github.com/quantumblacklabs/kedro/issues). We will be updating the codebase regularly, and you can find news about updates and features we introduce by heading over to [RELEASE.md](https://github.com/quantumblacklabs/kedro/blob/develop/RELEASE.md). + diff --git a/docs/source/06_resources/02_commands_reference.md b/docs/source/06_resources/02_commands_reference.md new file mode 100644 index 0000000000..50fe3f6857 --- /dev/null +++ b/docs/source/06_resources/02_commands_reference.md @@ -0,0 +1,88 @@ +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +# Guide to CLI commands + +The `kedro` command line interface (CLI) helps with reproducibility in projects by allowing you to associate a set of commands and dependencies with a target and then execute them from the command line when inside a Kedro project directory. All project related CLI commands should be run from the project’s root directory. + +The supported commands are specified in the `kedro_cli.py` file. It is easy to extend `kedro_cli.py` by either modifying the file or injecting commands into it by using the [`plugin` framework](../04_user_guide/09_developing_plugins.md). + +## Global Kedro commands + +Show version and exit: + +```bash +kedro -V +kedro --version +``` + +See extensive logging and error stack traces: + +```bash +kedro -v +kedro --verbose +``` + +Get help on Kedro commands: + +```bash +kedro -h +kedro --help +``` + +Create a new kedro project: + +```bash +kedro new +``` + +See the Kedro API documentation (including the tutorial): + +```bash +kedro docs +``` + +## Project-specific Kedro commands + +### `kedro run` +Runs the `main()` function in `run.py` (`src/project-name/run.py`) + +To make sure the project is shareable and reproducible, you should maintain the `kedro run` program definitions in the `kedro_cli.py` to point to the entry point in your project. + +### `kedro install` +Install all package dependencies specified in `requirements.txt` + +### `kedro test` +Run all `pytest` unit tests found in `src/tests`, including coverage (see the file `.coveragerc`). + +### `kedro package` +Package your application as one `.egg` file and one `.whl` file within the `src/dist/` folder of your project. For further information about packaging for Python, documentation is provided [here](https://packaging.python.org/overview/). + +### `kedro build-docs` +Build the project documentation using the [Sphinx](https://www.sphinx-doc.org) framework. To further customise it, please refer to `docs/source/conf.py` and the [corresponding section](http://www.sphinx-doc.org/en/master/usage/configuration.html) of the Sphinx documentation. + +### `kedro jupyter notebook`, `kedro jupyter lab`, `kedro ipython` +Start a Jupyter Notebook, Lab or REPL session respectively. + +Every time you start or restart a notebook kernel, a startup script (`<project-root>/.ipython/profile_default/startup/00-kedro-init.py`) will add the following variables in scope: +- `proj_dir` (`str`) +- `proj_name` (`str`) +- `conf` (`ConfigLoader`) +- `io` (`DataCatalog`) +- `parameters` (`dict`) +- `startup_error` (`Exception`) + +To reload these at any point in your notebook (e.g. if you updated `catalog.yml`) use the line magic `%reload_kedro`. + +This [line magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html#line-magics) can be also used to see the error message if any of the variables above are undefined. + +### `kedro activate-nbstripout` +Typically output cells of Jupyter Notebook should not be tracked by git, especially if they contain sensitive information. + +This command adds a `git hook` which clears all notebook output cells before committing anything to `git`. This needs to run only once per local repository. + +## Using Python +You can also invoke the Kedro CLI as a Python module: + +```console +python -m kedro +``` diff --git a/docs/source/06_resources/03_ipython.md b/docs/source/06_resources/03_ipython.md new file mode 100644 index 0000000000..dd99021c81 --- /dev/null +++ b/docs/source/06_resources/03_ipython.md @@ -0,0 +1,50 @@ + +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +# Working with Kedro and IPython + +In order to experiment with the code interactively, you may want to use a Python kernel inside a Jupyter notebook (formerly known as IPython). + +To start a standalone IPython session, run the following command in the root directory of the project: + +```bash +kedro ipython +``` + +Every time you start/restart an IPython session, a startup script (`<your_project_name>/.ipython/profile_default/startup/00-kedro-init.py`) will add the following variables in scope: + +- `proj_dir` (`str`) - Root directory of the project +- `proj_name` (`str`) - Project folder name +- `conf` (`ConfigLoader`) - Configuration loader object +- `io` (`DataCatalog`) - Data catalog +- `parameters` (`dict`) - Parameters from the project configuration +- `startup_error` (`Exception`) - An error that was raised during the execution of the startup script or `None` if no errors occurred. + +To reload these at any point (e.g., if you updated `catalog.yml`) use the [line magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html) `%reload_kedro`. This magic can also be used to see the error message if any of the variables above are undefined. + +## Loading `DataCatalog` in IPython + +You can load a dataset of [Iris Test example](https://archive.ics.uci.edu/ml/datasets/iris) inside the IPython console, by simply executing the following: + +```python +io.load("example_iris_data").head() +``` + +> Since the `io` is already defined during IPython session startup, we don't have to recreate it. + +```bash +kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... + + sepal_length sepal_width petal_length petal_width species +0 5.1 3.5 1.4 0.2 setosa +1 4.9 3.0 1.4 0.2 setosa +2 4.7 3.2 1.3 0.2 setosa +3 4.6 3.1 1.5 0.2 setosa +4 5.0 3.6 1.4 0.2 setosa +``` + +When you have finished, you can exit IPython by typing: + +```python +exit() +``` diff --git a/docs/source/06_resources/04_lint.md b/docs/source/06_resources/04_lint.md new file mode 100644 index 0000000000..bb94d9ef59 --- /dev/null +++ b/docs/source/06_resources/04_lint.md @@ -0,0 +1,40 @@ +> *Note:* This documentation is based on `Kedro 0.14.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +# Linting your Kedro project + +> *Note:* The following suggestions would require installing the `pylint` package, subject to GPL licence. + + +You can ensure code quality by using [pylint](https://www.pylint.org/), a popular linting tool. Sample commands you can use to help with this are included in the script below: + +```bash +isort +pylint -j 0 src/<your_project> kedro_cli.py +pylint -j 0 --disable=missing-docstring,redefined-outer-name src/tests +``` + +Alternatively, you can opt to use it as a plugin to your Kedro project. To do this, add the following code snippet to `kedro_cli.py` in your project root directory: + +```python +@cli.command() +def lint(): + """Check the Python code quality.""" + python_call("isort", []) + python_call( + "pylint", ["-j", "0", "src/<your_project>", "kedro_cli.py"] + ) + python_call( + "pylint", + ["-j", "0", "--disable=missing-docstring,redefined-outer-name", "src/tests"], + ) +``` + +To trigger the behaviour, simply run the following command in your terminal window: +```bash +kedro lint +``` + +Make sure you also include the dependency in your `requirements.txt`, i.e: +```text +pylint>=2.3.1,<3.0 +``` diff --git a/docs/source/css/copybutton.css b/docs/source/css/copybutton.css new file mode 100644 index 0000000000..52ec4e73b1 --- /dev/null +++ b/docs/source/css/copybutton.css @@ -0,0 +1,59 @@ +/* Copied from: https://raw.githubusercontent.com/choldgraf/sphinx-copybutton/master/sphinx_copybutton/_static/copybutton.css */ + +/* Copy buttons */ +a.copybtn { + position: absolute; + top: 2px; + right: 2px; + width: 1.7em; + height: 1.7em; + padding: .3em; + opacity: .6; + transition: opacity 0.5s; +} + +div.highlight { + position: relative; +} + +.highlight:hover .copybtn { + opacity: 1; +} + +/** + * A minimal CSS-only tooltip copied from: + * https://codepen.io/mildrenben/pen/rVBrpK + * + * To use, write HTML like the following: + * + * <p class="o-tooltip--left" data-tooltip="Hey">Short</p> + */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: 2px; + top: 0; + left: 0; + background: grey; + font-size: 1rem; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} diff --git a/docs/source/css/qb1-sphinx-rtd.css b/docs/source/css/qb1-sphinx-rtd.css new file mode 100644 index 0000000000..5519071d4a --- /dev/null +++ b/docs/source/css/qb1-sphinx-rtd.css @@ -0,0 +1,318 @@ + +@import url("https://fonts.googleapis.com/css?family=Titillium+Web:300,400,600"); + +/* normilize css */ +html, body, div, span, applet, object, iframe, h1, h2, h3, h4, h5, h6, p, blockquote, pre, a, abbr, acronym, address, big, cite, code, del, dfn, em, img, ins, kbd, q, s, samp, small, strike, strong, sub, sup, tt, var, b, u, i, center, dl, dt, dd, ol, ul, li, fieldset, form, label, legend, table, caption, tbody, tfoot, thead, tr, th, td, article, aside, canvas, details, embed, figure, figcaption, footer, header, hgroup, menu, nav, output, ruby, section, summary, time, mark, audio, video { + margin: 0; + padding: 0; + border: 0; + font-size: 100%; + font: inherit; + font-style: inherit; + font-variant-ligatures: inherit; + font-variant-caps: inherit; + font-variant-numeric: inherit; + font-variant-east-asian: inherit; + font-weight: inherit; + font-stretch: inherit; + font-size: 100%; + line-height: inherit; + font-family: inherit; + vertical-align: baseline; +} + +html, body.wy-body-for-nav { + -webkit-font-smoothing: antialiased; + font-family: 'Titillium Web', sans-serif; + font-weight: 400; + font-size: 62.5%; + line-height: 2rem; + letter-spacing: 0.1px; +} + +body.wy-body-for-nav { + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue", sans-serif; + background: rgb(250, 250, 250) !important; + color: black; +} + +.wy-body-for-nav .wy-side-nav-search input[type=text] { + display: block !important; + box-sizing: border-box !important; + width: 100% !important; + padding: 6px 12px !important; + color: #333 !important; + background-color: #fff !important; + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue", sans-serif !important; + font-size: 15px !important; + border: 1px #e8e8e8 solid !important; + border-radius: 2px !important; + transition: border-color ease-in-out .15s !important; + box-shadow: none !important; +} + +.wy-body-for-nav .wy-nav-side { + font-size: 16px; + position: fixed; + top: 0; + bottom: 0; + left: 0; + padding-bottom: 2em; + width: 300px; + overflow-x: hidden; + overflow-y: auto; + min-height: 100%; + background: white; + z-index: 200; + box-shadow: 0 2px 5px 0 rgba(0, 0, 0, .05); +} + +.wy-body-for-nav .wy-side-scroll { + width: 300px !important; + position: relative; + overflow-x: initial; + overflow-y: initial; + height: initial; +} + +.wy-body-for-nav .wy-side-nav-search { + width: 300px; + background: none; + margin: 0; + padding: 15px; +} +.wy-body-for-nav .wy-side-nav-search a { + font-size: 26px; + margin-bottom: 16px; + color: black; +} +.wy-body-for-nav .wy-side-nav-search a:before { + content: ''; +} +.wy-body-for-nav .wy-side-nav-search>div.version { + color: black; +} + + +.wy-body-for-nav .wy-menu-vertical { + width: 300px; + margin: 0; + padding: 0 10px 0 32px; +} +.wy-body-for-nav .wy-menu-vertical p.caption { + margin: auto; + text-align: center; +} + +.wy-body-for-nav .wy-menu-vertical li.on a, .wy-body-for-nav .wy-menu-vertical li.current>a { + border-top: none; + border-bottom: none; +} + + +.wy-body-for-nav .wy-menu-vertical li.current { + background: white; +} +.wy-body-for-nav .wy-menu-vertical li { + margin: 0; + padding: 0; + font-size: 16px !important; +} + +.wy-body-for-nav .wy-menu-vertical li a { + display: block; + margin: 0; + padding: 14px 0 !important; + font-size: 16px !important; + line-height: 1; + color: black !important; + background: none !important; +} + +.wy-body-for-nav .toctree-expand:before { + font-size: 15px; + margin-right: 5px; +} + +.wy-body-for-nav .wy-nav-content-wrap { + margin-left: 300px; + background: #fafafa; + font-size: 16px; +} + +.wy-body-for-nav .wy-nav-content { + padding: 0; + max-width: initial; +} + +.wy-body-for-nav .wy-breadcrumbs { + display: -webkit-box; + display: -ms-flexbox; + display: flex; + -webkit-box-align: center; + -ms-flex-align: center; + align-items: center; + width: 100%; + height: 71px; + padding-left: 32px; + background: white; + background-image: initial; + background-position-x: initial; + background-position-y: initial; + background-size: initial; + background-repeat-x: initial; + background-repeat-y: initial; + background-attachment: initial; + background-origin: initial; + background-clip: initial; + background-color: white; + box-shadow: 0 2px 5px 0 rgba(0, 0, 0, .05); +} + +.wy-body-for-nav .wy-breadcrumbs + hr { + display: none; +} +.wy-body-for-nav .wy-breadcrumbs li { + font-size: 20px; +} + +.wy-body-for-nav .wy-breadcrumbs li:not(:first-child) { + margin-left: 6px; +} + + +.wy-body-for-nav .wy-nav-content .document{ + padding: 32px 32px 20px; +} + +.wy-body-for-nav footer { + padding: 32px; +} + +.wy-body-for-nav .wy-body-for-nav { + background: #fafafa !important; + background-image: none; + background-size: initial; +} + +.wy-body-for-nav .wy-menu-vertical li.current a:hover { + background: none; +} +.wy-body-for-nav .wy-menu-vertical a:hover { + background: none; + cursor: pointer; +} + +.wy-body-for-nav .wy-menu-vertical li.current a { + border-right: none; +} + +.wy-body-for-nav .toctree-l2 { + padding-left: 15px !important; +} + +.wy-body-for-nav .toctree-l3 { + padding-left: 15px !important; +} + +.wy-body-for-nav .toctree-l4 { + padding-left: 15px !important; + } + +.wy-body-for-nav .toctree-l5 { + padding-left: 15px !important; +} + + +.wy-body-for-nav .toctree-l2.current > a, .wy-body-for-nav .toctree-l3.current > a,.wy-body-for-nav .toctree-l4.current > a { + font-weight: normal !important; +} +.wy-body-for-nav .toctree-l4 a { + word-break: break-word; +} + +.wy-body-for-nav b, .wy-body-for-nav strong { + font-weight: normal; +} +.wy-body-for-nav h1,.wy-body-for-nav h2, .wy-body-for-nav h3,.wy-body-for-nav h4, .wy-body-for-nav h5 { + font-family: 'Titillium Web', sans-serif; + margin: 15px 0; +} +.wy-body-for-nav h1 { + font-size: 4rem; + line-height: 4.8rem; + letter-spacing: -0.3px; +} + +.wy-body-for-nav h2 { + font-size: 3rem; + font-weight: normal; + line-height: 3.8rem; +} + +.wy-body-for-nav h3 { + font-size: 2rem; + line-height: 2.8rem; +} + +.wy-body-for-nav .headerlink { + display: none !important; +} + +.wy-body-for-nav p { + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue", sans-serif; + font-size: 100%; + margin: 0 0 15px 0; + line-height: 1.5; +} + +.wy-body-for-nav .rst-content a, .wy-body-for-nav footer a{ + font-family: inherit; + font-size: inherit; + color: #1978c8; + text-decoration: none; +} + +.wy-body-for-nav .rst-content a:visited, .wy-body-for-nav footer a:visited { + font-family: inherit; + font-size: inherit; + color: #1978c8; + text-decoration: none; +} + +.wy-body-for-nav .rst-content a:hover, .wy-body-for-nav footer a:hover { + color: #f28a25; + cursor: pointer; +} + +.wy-body-for-nav .wy-nav-top { + background: white; + color: black; +} +.wy-body-for-nav .wy-nav-top a { + color: black !important; +} + + +@media screen and (max-width: 768px) { + .wy-body-for-nav .wy-nav-side { + left: -300px; + } + .wy-body-for-nav .wy-nav-side.shift { + width: 85%; + left: 0; + } + .wy-body-for-nav .wy-nav-content-wrap { + margin-left: 0; + } + .wy-body-for-nav .wy-breadcrumbs { + display: none; + } + .wy-body-for-nav h1 { + font-size: 3rem; + line-height: 3.8rem; + letter-spacing: 0px; + } +} + + diff --git a/docs/source/css/theme-overrides.css b/docs/source/css/theme-overrides.css new file mode 100644 index 0000000000..c928bd0256 --- /dev/null +++ b/docs/source/css/theme-overrides.css @@ -0,0 +1,11 @@ +/* override table width restrictions */ +@media screen and (min-width: 767px) { + + .wy-table-responsive table td { + white-space: normal; + } + + .wy-table-responsive { + overflow: visible; + } +} diff --git a/features/__init__.py b/features/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/features/activate_nbstripout.feature b/features/activate_nbstripout.feature new file mode 100644 index 0000000000..2f5bdc8711 --- /dev/null +++ b/features/activate_nbstripout.feature @@ -0,0 +1,67 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +# +Feature: Activate_nbstripout target in new project + + Background: + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + + Scenario: Run activate-nbstripout target without nbstripout installed + Given I have initialized a git repository + And the python package "nbstripout" has been uninstalled + When I execute the kedro command "activate-nbstripout" + Then I should get an error exit code + And I should get an error message including "nbstripout is not installed." + + Scenario: Run activate-nbstripout target without git initialisation + Given I have executed the kedro command "install" + When I execute the kedro command "activate-nbstripout" + Then I should get an error exit code + And I should get an error message including "Not a git repository. Run `git init` first." + + Scenario: Run activate-nbstripout target with nbstripout installed and git initialized + Given I have executed the kedro command "install" + And I have initialized a git repository + When I execute the kedro command "activate-nbstripout" + Then I should get a successful exit code + + Scenario: Check nbstripout git post commit hook functionality + Given I have executed the kedro command "install" + And I have added a test jupyter notebook + And I have initialized a git repository + And I have added the project directory to staging + And I have committed changes to git + And I have executed the kedro command "activate-nbstripout" + When I execute the test jupyter notebook and save changes + And I add the project directory to staging + And I commit changes to git + And I remove the notebooks directory + And I perform a hard git reset to restore the project to last commit + Then there should be an additional cell in the jupyter notebook + And the output should be empty in all the cells in the jupyter notebook diff --git a/features/build_docs.feature b/features/build_docs.feature new file mode 100644 index 0000000000..b57b9f8d03 --- /dev/null +++ b/features/build_docs.feature @@ -0,0 +1,37 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +# + +Feature: build-docs target in new project + + Scenario: Execute build-docs target + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "build-docs" + Then I should get a successful exit code + And docs should be generated diff --git a/features/environment.py b/features/environment.py new file mode 100644 index 0000000000..25642d6210 --- /dev/null +++ b/features/environment.py @@ -0,0 +1,110 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Behave environment setup commands.""" + +import glob +import os +import shutil +import stat +import tempfile +from pathlib import Path + +from features.steps.sh_run import run +from features.steps.util import create_new_venv + + +def before_all(context): + """Environment preparation before other cli tests are run. + Installs kedro by running pip in the top level directory. + """ + + def call(cmd): + res = run(cmd, env=context.env) + if res.returncode: + print(res.stdout) + print(res.stderr) + assert False + + # make a venv + if "E2E_VENV" in os.environ: + context.venv_dir = Path(os.environ["E2E_VENV"]) + else: + context.venv_dir = Path(create_new_venv()) + + # note the locations of some useful stuff + # this is because exe resolution in supbrocess doens't respect a passed env + if os.name == "posix": + bin_dir = context.venv_dir / "bin" + path_sep = ":" + else: + bin_dir = context.venv_dir / "Scripts" + path_sep = ";" + context.pip = str(bin_dir / "pip") + context.python = str(bin_dir / "python") + context.kedro = str(bin_dir / "kedro") + + # clone the environment, remove any condas and venvs and insert our venv + context.env = os.environ.copy() + path = context.env["PATH"].split(path_sep) + path = [p for p in path if not (Path(p).parent / "pyvenv.cfg").is_file()] + path = [p for p in path if not (Path(p).parent / "conda-meta").is_dir()] + path = [str(bin_dir)] + path + context.env["PATH"] = path_sep.join(path) + + # install Kedro + call([context.python, "-m", "pip", "install", "-U", "pip"]) + for wheel_path in Path("dist").glob("*.whl"): + wheel_path.unlink() + call([context.pip, "install", "wheel"]) + call([context.python, "setup.py", "clean", "--all", "bdist_wheel"]) + call([context.pip, "install", "-U"] + glob.glob("dist/*.whl")) + + +def after_all(context): + if "E2E_VENV" not in os.environ: + rmtree(context.venv_dir) + + +def before_scenario(context, feature): + # pylint: disable=unused-argument + context.temp_dir = Path(tempfile.mkdtemp()) + + +def after_scenario(context, feature): + # pylint: disable=unused-argument + rmtree(context.temp_dir) + + +def rmtree(top): + """This is for Windows machine to switch the permission.""" + if os.name != "posix": + for root, _, files in os.walk(str(top), topdown=False): + for name in files: + os.chmod(os.path.join(root, name), stat.S_IWUSR) + shutil.rmtree(str(top)) diff --git a/features/install.feature b/features/install.feature new file mode 100644 index 0000000000..d1cbfb5b79 --- /dev/null +++ b/features/install.feature @@ -0,0 +1,35 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +Feature: Install target in new project + + Scenario: Execute install target in new project + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "install" + Then I should get a successful exit code diff --git a/features/io_core.feature b/features/io_core.feature new file mode 100644 index 0000000000..0fad5a3e59 --- /dev/null +++ b/features/io_core.feature @@ -0,0 +1,76 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Kedro IO DataSet features + + Scenario: Create a custom data set + Given I have defined a custom CSV data set with both load and save methods + When I load the data set + Then CSV file content should be returned + + Scenario: Create a missing custom data set + Given I have pointed a CSV data set to a missing file + When I load the data set + Then an error should be raised + + Scenario: Save data + Given I have defined a custom CSV data set with both load and save methods + When I save a data frame + Then the CSV file contents should be updated with the contents of the data frame + + Scenario: Prevent saving to data set without save function + Given I have defined a custom CSV data set without providing a save method + When I save a data frame + Then an exception should be thrown + + Scenario: Saving and loading + Given I have defined a custom CSV data set with both load and save methods to the same file + When I save a data frame and then load it + Then the value I originally saved should be returned + + Scenario: Saving and loading with CSVLocalDataSet + Given I have instantiated a CSVLocalDataSet + When I save a data frame and then load it + Then the value I originally saved should be returned + + Scenario: Saving and loading with CSVLocalDataSet + Given I have instantiated a CSVLocalDataSet with tabs as separator + When I save a data frame and then load it + Then the value I originally saved should be returned + + Scenario: Loading with MemoryDataSet + Given I have instatiated a MemoryDataSet with data + When I load the data from the MemoryDataSet + Then the original data should be returned + + Scenario: Saving with MemoryDataSet + Given I have instatiated a MemoryDataSet with data + And I have saved a new data frame + When I load the data from the MemoryDataSet + Then the new data frame should be returned diff --git a/features/io_parquet_local.feature b/features/io_parquet_local.feature new file mode 100644 index 0000000000..55f38f5186 --- /dev/null +++ b/features/io_parquet_local.feature @@ -0,0 +1,35 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Local Parquet data set IO scenarios + + Scenario: Save and load a Parquet file + Given I have defined data in a pandas DataFrame + When I write a given data to a Parquet file + Then the data should be loaded without any alteration diff --git a/features/io_sql.feature b/features/io_sql.feature new file mode 100644 index 0000000000..5059fb23c6 --- /dev/null +++ b/features/io_sql.feature @@ -0,0 +1,45 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Kedro IO SQLTableDataSet and SQLQueryDataSet features + + Scenario: Read from SQL data set + Given I have defined an SQL data set with tables A and B + When I load from table A + Then I should get the expected number of rows back + + Scenario: Write to SQL data set + Given I have defined an SQL data set with tables A and B + When I save to table B + Then I should get the written data back + + Scenario: Read from SQL query data set + Given I have defined an SQL query data set with filtered query to table C + When I query table C + Then I should get the filtered rows back diff --git a/features/ipython.feature b/features/ipython.feature new file mode 100644 index 0000000000..6ebc7e5d4b --- /dev/null +++ b/features/ipython.feature @@ -0,0 +1,40 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +Feature: IPython target in new project + + Background: + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + And I have executed the kedro command "install" + + Scenario: Execute ipython target + When I execute the kedro command "ipython" + Then I should get a message including "An enhanced Interactive Python" + And I should get a message including "INFO - ** Kedro project project-dummy" + And I should get a message including "INFO - Defined global variables proj_dir, proj_name, conf and io" diff --git a/features/jupyter.feature b/features/jupyter.feature new file mode 100644 index 0000000000..2222218cce --- /dev/null +++ b/features/jupyter.feature @@ -0,0 +1,43 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +# + +Feature: Jupyter targets in new project + + Background: + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + And I have executed the kedro command "install" + + Scenario: Execute jupyter-notebook target + When I execute the kedro jupyter command "jupyter notebook" + Then jupyter notebook should run on port 8888 + + Scenario: Execute jupyter-lab target + When I execute the kedro jupyter command "jupyter lab" + Then Jupyter Lab should run on port 8888 diff --git a/features/new_project.feature b/features/new_project.feature new file mode 100644 index 0000000000..d4a7352dd9 --- /dev/null +++ b/features/new_project.feature @@ -0,0 +1,42 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: New Kedro project + + Scenario: Create a new kedro project without example code + Given I have prepared a config file without example code + When I run a non-interactive kedro new + Then the expected project directories and files should be created + And the pipeline should contain no nodes + + Scenario: Create a new kedro project with example code + Given I have prepared a config file with example code + When I run a non-interactive kedro new + Then the expected project directories and files should be created + And the pipeline should contain nodes diff --git a/features/package.feature b/features/package.feature new file mode 100644 index 0000000000..a6710538c0 --- /dev/null +++ b/features/package.feature @@ -0,0 +1,39 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +Feature: Package target in new project + + Background: + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + And I have executed the kedro command "install" + + Scenario: Package new project + When I execute the kedro command "package" + Then I should get a successful exit code + And the relevant packages should be created diff --git a/features/pipeline.feature b/features/pipeline.feature new file mode 100644 index 0000000000..95668486ce --- /dev/null +++ b/features/pipeline.feature @@ -0,0 +1,46 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Pipelines that can be run from a library or a template project + + Background: + Given I have added external packages "matplotlib" to project requirements + And I have included a pipeline definition in a project template + And I have defined an io catalog containing ["A", "B", "C", "D"] + + Scenario: Pipeline running from a template with packages not installed + When the template pipeline is run + Then it should fail with an error message including "No module named 'matplotlib'" + + Scenario: Pipeline running from a template with packages installed + Given I have executed the kedro command "install" + When the template pipeline is run + Then it should successfully produce the results + + diff --git a/features/run.feature b/features/run.feature new file mode 100644 index 0000000000..f4e954b1dc --- /dev/null +++ b/features/run.feature @@ -0,0 +1,84 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Run Project + + + Scenario: Run default python entry point with example code + + Local environment should be used by default when no env option is specified. + + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 4 nodes were run + + Scenario: Run default python entry point without example code + Given I have prepared a config file without example code + And I have run a non-interactive kedro new + When I execute the kedro command "run" + Then I should get an error exit code + And "local" environment was used + + Scenario: Run python entry point in a specific environment + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + And I have created new environment "test" + When I execute the kedro command "run --env=test" + Then I should get a successful exit code + And "test" environment was used + + Scenario: Run python entry point in an invalid environment + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "run --env=nonexistent" + Then I should get an error exit code + And I should get an error message including "Given configuration path either does not exist or is not a valid directory:" + + Scenario: Run python entry point using a parallel flag + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "run --parallel" + Then I should get a successful exit code + And I should get a message including "parallel" + + Scenario: Run python entry point using a runner flag + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "run --runner=ParallelRunner" + Then I should get a successful exit code + And I should get a message including "parallel" + + Scenario: Run python entry point using both parallel and runner flags + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "run --parallel --runner=SequentialRunner" + Then I should get an error exit code + And I should get an error message including "Both --parallel and --runner options cannot be used together. Please use either --parallel or --runner." diff --git a/features/steps/__init__.py b/features/steps/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py new file mode 100644 index 0000000000..8009aaac5a --- /dev/null +++ b/features/steps/cli_steps.py @@ -0,0 +1,563 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Behave step definitions for the cli_scenarios feature.""" + +import itertools +import json +import shlex +import shutil +from time import time + +import behave +import requests +import yaml +from behave import given, then, when + +import features.steps.util as util +import kedro +from features.steps.sh_run import ChildTerminatingPopen, check_run, run + +OK_EXIT_CODE = 0 + + +TEST_JUPYTER_NB_SOURCE_ORG = r""" +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(\"Hello World!\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} +""" + +# The difference +TEST_JUPYTER_NB_SOURCE_AFTER_EXEC = r""" +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello World!\n" + ] + } + ], + "source": [ + "print(\"Hello World!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} +""" + + +behave.register_type(CSV=util.parse_csv) + + +def _check_service_up(context: behave.runner.Context, url: str, string: str): + """Check that a service is running and responding appropriately. + + Args: + context: Test context. + url: Url that is to be read. + string: The string to be checked. + + """ + response = requests.get(url, timeout=1.0) + response.raise_for_status() + + data = response.text + assert string in data + assert context.result.poll() is None + + +def _create_config_file(context, include_example): + context.config_file = context.temp_dir / "config.yml" + context.project_name = "project-dummy" + root_project_dir = context.temp_dir / context.project_name + context.root_project_dir = root_project_dir + config = { + "project_name": context.project_name, + "repo_name": context.project_name, + "output_dir": str(context.temp_dir), + "python_package": context.project_name.replace("-", "_"), + "include_example": include_example, + } + with context.config_file.open("w") as config_file: + yaml.dump(config, config_file, default_flow_style=False) + + +@given("I have prepared a config file without example code") +def create_config_file_no_example(context): + """Behave step to create a temporary config file + (given the existing temp directory) and store it in the context. + """ + _create_config_file(context, include_example=False) + + +@given("I have prepared a config file with example code") +def create_config_file_with_example(context): + """Behave step to create a temporary config file + (given the existing temp directory) and store it in the context. + """ + _create_config_file(context, include_example=True) + + +@given('I have executed the kedro command "{command}"') +def exec_make_target_checked(context, command): + """Execute Makefile target and check the status.""" + make_cmd = [context.kedro] + command.split() + + res = run(make_cmd, env=context.env, cwd=str(context.root_project_dir)) + + if res.returncode != OK_EXIT_CODE: + print(res.stdout) + print(res.stderr) + assert False + + +@given('I have created new environment "{}"') +def create_new_env(context, env_name): + env_path = context.root_project_dir / "conf" / env_name + env_path.mkdir() + + for config_name in ("catalog", "parameters", "logging", "credentials"): + path = env_path / "{}.yml".format(config_name) + with path.open("w") as config_file: + yaml.dump({}, config_file, default_flow_style=False) + + +@given("the example test has been set to fail") +def modify_example_test_to_fail(context): + """Modify test_run.py to fail.""" + path_to_example_test = context.root_project_dir / "src" / "tests" / "test_run.py" + test_run_contents = path_to_example_test.read_text("utf-8") + failed_test_str = test_run_contents.replace( + "test_create_catalog():", "test_create_catalog():\n assert False" + ) + path_to_example_test.write_text(failed_test_str) + + +@given('the python package "{package}" has been uninstalled') +def uninstall_package_via_pip(context, package): + """Uninstall a python package using pip.""" + run([context.pip, "uninstall", "-y", package], env=context.env) + + +@given("I have initialized a git repository") +def init_git_repo(context): + """Init git repo""" + with util.chdir(context.root_project_dir): + check_run("git init") + check_run("git config user.name 'Tester'") + check_run("git config user.email 'tester.kedro@quantumblack.com'") + + +@given("I have added a test jupyter notebook") +def add_test_jupyter_nb(context): + """Create a test jupyter notebook using TEST_JUPYTER_NB_SOURCE_ORG.""" + with open( + str(context.root_project_dir / "notebooks" / "hello_world.ipynb"), "wt" + ) as test_nb_fh: + test_nb_fh.write(TEST_JUPYTER_NB_SOURCE_ORG) + + +@given("I have run a non-interactive kedro new") +@when("I run a non-interactive kedro new") +def create_project_from_config_file(context): + """Behave step to run kedro new given the config I previously created. + """ + res = run([context.kedro, "new", "-c", str(context.config_file)], env=context.env) + assert res.returncode == OK_EXIT_CODE + + +@given("I have added the project directory to staging") +@when("I add the project directory to staging") +def add_proj_dir_to_staging(context): + """Add root project dir to staging""" + with util.chdir(context.root_project_dir): + check_run("git add .") + + +@given("I have committed changes to git") +@when("I commit changes to git") +def commit_changes_to_git(context): + """Commit changes to git""" + with util.chdir(context.root_project_dir): + check_run("git commit -m 'Change {time}'".format(time=time())) + + +@when('I execute the kedro command "{command}"') +def exec_make_target(context, command): + """Execute Makefile target.""" + split_command = command.split() + make_cmd = [context.kedro] + split_command + context.result = run(make_cmd, env=context.env, cwd=str(context.root_project_dir)) + + +@when('with tags {tags:CSV}, I execute the kedro command "{cmd}"') +def exec_kedro_run_with_tag(context, cmd, tags): + """Execute `kedro run` with tags""" + kedro_args = shlex.split(cmd) + context.logfile_count = util.get_logline_count( + util.get_logfile_path(context.root_project_dir) + ) + + tag_list = [["--tag", t] for t in tags] + tag_args = list(itertools.chain.from_iterable(tag_list)) + run_cmd = [context.kedro] + kedro_args + tag_args + + context.result = run(run_cmd, env=context.env, cwd=str(context.root_project_dir)) + + +@when("I ask the CLI for a version") +def get_kedro_version(context): + """Behave step to run `kedro -V`.""" + context.version_str = run([context.kedro, "-V"], env=context.env).stdout + assert context.version_str # check non-empty + + +@when("I ask the CLI for a version using python -m") +def get_kedro_version_python(context): + """Behave step to run `python -m kedro -V`.""" + cmd = [context.python, "-m", "kedro", "-V"] + context.version_str = run(cmd, env=context.env).stdout + assert context.version_str # check non-empty + + +@when('I execute the kedro jupyter command "{command}"') +def exec_notebook(context, command): + """Execute Makefile target.""" + split_command = command.split() + make_cmd = [context.kedro] + split_command + + # Jupyter notebook forks a child process from a parent process, and + # only kills the parent process when it is terminated + context.result = ChildTerminatingPopen( + make_cmd + ["--no-browser"], env=context.env, cwd=str(context.root_project_dir) + ) + + +@when("I execute the test jupyter notebook and save changes") +def simulate_nb_execution(context): + """Change test jupyter notebook to TEST_JUPYTER_NB_SOURCE_AFTER_EXEC + simulate that it was executed and output was saved. + """ + with open( + str(context.root_project_dir / "notebooks" / "hello_world.ipynb"), "wt" + ) as test_nb_fh: + test_nb_fh.write(TEST_JUPYTER_NB_SOURCE_AFTER_EXEC) + + +@when("I remove the notebooks directory") +def delete_notebooks_dir(context): + """Delete notebooks directory in project""" + with util.chdir(context.root_project_dir): + shutil.rmtree("notebooks/") + + +@when("I perform a hard git reset to restore the project to last commit") +def do_git_reset_hard(context): + """Perform a hard git reset""" + with util.chdir(context.root_project_dir): + check_run("git reset --hard HEAD") + + +@then("CLI should print the version in an expected format") +def check_kedro_version(context): + """Behave step to check validity of the kedro version.""" + version_no = context.version_str.split()[-1] + assert version_no == kedro.__version__ + + +@then("the expected project directories and files should be created") +def check_created_project_structure(context): + """Behave step to check the subdirectories created by kedro new.""" + + def is_created(name): + """Check if path exists.""" + return (context.root_project_dir / name).exists() + + for path in ("README.md", "src", "data"): + assert is_created(path) + + +@then("the pipeline should contain no nodes") +def check_empty_pipeline_exists(context): + """Check if the created `pipeline.py` contains no nodes""" + pipeline_file = ( + context.root_project_dir + / "src" + / context.project_name.replace("-", "_") + / "pipeline.py" + ) + assert "pipeline = Pipeline([])" in pipeline_file.read_text("utf-8") + + +@then("the pipeline should contain nodes") +def check_pipeline_not_empty(context): + """Check if the created `pipeline.py` contains nodes""" + pipeline_file = ( + context.root_project_dir + / "src" + / context.project_name.replace("-", "_") + / "pipeline.py" + ) + assert "pipeline = Pipeline([])" not in pipeline_file.read_text("utf-8") + + +@then("the console log should show that {number} nodes were run") +def check_one_node_run(context, number): + expected_log_line = "Completed {number} out of {number} tasks".format(number=number) + assert expected_log_line in context.result.stdout + + +@then('the console log should show that "{node}" was run') +def check_correct_nodes_run(context, node): + expected_log_line = "Running node: {node}".format(node=node) + assert expected_log_line in context.result.stdout + + +@then("I should get a successful exit code") +def check_status_code(context): + if context.result.returncode != OK_EXIT_CODE: + print(context.result.stdout) + print(context.result.stderr) + assert False, "Expected exit code {} but got {}".format( + OK_EXIT_CODE, context.result.returncode + ) + + +@then("I should get an error exit code") +def check_failed_status_code(context): + if context.result.returncode == OK_EXIT_CODE: + print(context.result.stdout) + print(context.result.stderr) + assert False, "Expected exit code other than {} but got {}".format( + OK_EXIT_CODE, context.result.returncode + ) + + +@then("the relevant packages should be created") +def check_python_packages_created(context): + """Check that egg and whl files exist in dist dir.""" + dist_dir = context.root_project_dir / "src" / "dist" + egg_file = dist_dir.glob("*.egg") + whl_file = dist_dir.glob("*.whl") + assert any(egg_file) + assert any(whl_file) + + +@then('"{env}" environment was used') +def check_environment_used(context, env): + env_path = context.root_project_dir / "conf" / env + assert env_path.exists(), 'Environment "{}" does not exist'.format(env) + + if isinstance(context.result, ChildTerminatingPopen): + stdout = context.result.stdout.read().decode() + context.result.terminate() + else: + stdout = context.result.stdout + + for config_name in ("catalog", "parameters", "credentials", "logging"): + path = env_path.joinpath("{}.yml".format(config_name)) + if path.exists(): + msg = "Loading: {}".format(str(path.resolve())) + assert msg in stdout, ( + "Expected the following message segment to be printed on stdout: " + "{exp_msg},\nbut got {actual_msg}".format( + exp_msg=msg, actual_msg=stdout + ) + ) + + +@then('I should get a message including "{msg}"') +def check_message_printed(context, msg): + """Check that specified message is printed to stdout (can be a segment).""" + + if isinstance(context.result, ChildTerminatingPopen): + stdout = context.result.stdout.read().decode() + context.result.terminate() + else: + stdout = context.result.stdout + + assert msg in stdout, ( + "Expected the following message segment to be printed on stdout: " + "{exp_msg},\nbut got {actual_msg}".format(exp_msg=msg, actual_msg=stdout) + ) + + +@then('I should get an error message including "{msg}"') +def check_error_message_printed(context, msg): + """Check that specified message is printed to stderr (can be a segment).""" + + if isinstance(context.result, ChildTerminatingPopen): + stderr = context.result.stderr.read().decode() + context.result.terminate() + else: + stderr = context.result.stderr + + assert msg in stderr, ( + "Expected the following message segment to be printed on stderr: " + "{exp_msg},\nbut got {actual_msg}".format(exp_msg=msg, actual_msg=stderr) + ) + + +@then("there should be an additional cell in the jupyter notebook") +def check_additional_cell_added(context): + """Check that an addiitonal cell has been added compared to notebook + coded by TEST_JUPYTER_NB_SOURCE_ORG. + """ + with open( + str(context.root_project_dir / "notebooks" / "hello_world.ipynb") + ) as test_nb_fh: + context.nb_data = json.load(test_nb_fh) + assert len(context.nb_data["cells"]) == 2 + + +@then("the output should be empty in all the cells in the jupyter notebook") +def check_output_cells_empty(context): + """Check that all cells contain empty output array.""" + for cell in context.nb_data["cells"]: + assert cell["outputs"] == [] + + +@then("jupyter notebook should run on port {port}") +def check_jupyter_nb_proc_on_port(context: behave.runner.Context, port: int): + """Check that jupyter notebook service is running on specified port. + + Args: + context: Test context + port: Port to check + + """ + url = "http://localhost:%d" % int(port) + try: + util.wait_for( + func=_check_service_up, + context=context, + url=url, + string="Jupyter Notebook", + timeout_=15, + print_error=True, + ) + finally: + context.result.terminate() + + +@then("Jupyter Lab should run on port {port}") +def check_jupyter_lab_proc_on_port(context: behave.runner.Context, port: int): + """Check that jupyter lab service is running on specified port. + + Args: + context: Test context + port: Port to check + + """ + url = "http://localhost:%d" % int(port) + try: + util.wait_for( + func=_check_service_up, + context=context, + url=url, + string='<a href="/lab"', + print_error=True, + ) + finally: + context.result.terminate() + + +@then("docs should be generated") +def check_docs_generated(context): + """Check that new project docs are generated.""" + index_html = ( + context.root_project_dir / "docs" / "build" / "html" / "index.html" + ).read_text("utf-8") + project_repo = context.project_name.replace("-", "_") + assert "Welcome to project’s %s API docs!" % project_repo in index_html diff --git a/features/steps/e2e_test_catalog.yml b/features/steps/e2e_test_catalog.yml new file mode 100644 index 0000000000..f4cde46882 --- /dev/null +++ b/features/steps/e2e_test_catalog.yml @@ -0,0 +1,20 @@ +A: + type: CSVLocalDataSet + filepath: data/01_raw/input_1.csv + save_args: + index: False +C: + type: CSVLocalDataSet + filepath: data/01_raw/input_2.csv + save_args: + index: False +E: + type: CSVLocalDataSet + filepath: data/02_intermediate/output_1.csv + save_args: + index: False +F: + type: CSVLocalDataSet + filepath: data/02_intermediate/output_2.csv + save_args: + index: False diff --git a/features/steps/io_core_steps.py b/features/steps/io_core_steps.py new file mode 100644 index 0000000000..2d9f51e475 --- /dev/null +++ b/features/steps/io_core_steps.py @@ -0,0 +1,175 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Behave step definitions for the io core features.""" + +import pandas as pd +from behave import given, then, when + +from features.steps.util import ( + create_sample_csv, + create_temp_csv, + get_sample_data_frame, +) +from kedro.io import CSVLocalDataSet, DataSetError, LambdaDataSet, MemoryDataSet + + +@given("I have defined a custom CSV data set with both load and save methods") +def define_dataset_with_load_save(context): + context.read_csv_path = create_sample_csv() + context.write_csv_path = create_temp_csv() + context.csv_data_set = LambdaDataSet( + load=lambda: pd.read_csv(context.read_csv_path), + save=lambda df: df.to_csv(context.write_csv_path), + ) + + +@given( + "I have defined a custom CSV data set with both load and save methods " + "to the same file" +) +def csv_dataset_same_file(context): + context.read_csv_path = create_sample_csv() + context.write_csv_path = context.read_csv_path + context.csv_data_set = LambdaDataSet( + load=lambda: pd.read_csv(context.read_csv_path), + save=lambda df: df.to_csv(context.write_csv_path, index=False), + ) + + +@given("I have defined a custom CSV data set without providing a save method") +def data_set_with_no_save(context): + context.csv_data_set = LambdaDataSet(load=None, save=None) + + +@given("I have instantiated a CSVLocalDataSet") +def prepare_csv_data(context): + context.read_csv_path = create_sample_csv() + context.write_csv_path = create_temp_csv() + context.csv_data_set = CSVLocalDataSet(filepath=context.read_csv_path) + + +@given("I have instantiated a CSVLocalDataSet with tabs as separator") +def prepare_csv_data_with_tabs(context): + context.read_csv_path = create_sample_csv() + context.write_csv_path = create_temp_csv() + context.csv_data_set = CSVLocalDataSet( + filepath=context.read_csv_path, + load_args={"sep": "\t"}, + save_args={"index": False, "sep": "\t"}, + ) + + +@given("I have instatiated a MemoryDataSet with data") +def create_memory_data_frame(context): + context.test_data_frame = get_sample_data_frame() + context.memory_data_set = MemoryDataSet(data=context.test_data_frame) + + +@given("I have pointed a CSV data set to a missing file") +def prepare_missing_csv(context): + sample_csv = "/var/missing_csv_file.csv" + context.csv_data_set = LambdaDataSet( + load=lambda: pd.read_csv(sample_csv), save=None + ) + + +@given("I have saved a new data frame") +def save_new_data_to_data_set(context): + context.new_data_frame = pd.DataFrame( + {"col1": [1, 2], "col2": [3, 4], "col3": [5, 6]} + ) + context.memory_data_set.save(data=context.new_data_frame) + + +@when("I load the data set") +def loading_from_source(context): + """Loads from the CSV.""" + try: + context.result = context.csv_data_set.load() + except DataSetError as error: + context.data_set_error = error + + +@when("I load the data from the MemoryDataSet") +def load_data_from_memory_data_set(context): + context.data_from_memory_data_set = context.memory_data_set.load() + + +@when("I save a data frame") +def save_data_frame(context): + data_frame = get_sample_data_frame() + try: + context.csv_data_set.save(data_frame) + except DataSetError: + context.data_set_error_raised = True + + +@when("I save a data frame and then load it") +def save_and_load_content(context): + data_frame = get_sample_data_frame() + context.csv_data_set.save(data_frame) + context.reloaded_df = context.csv_data_set.load() + + +@then("CSV file content should be returned") +def csv_content_returned(context): + assert context.result is not None + assert len(context.result) == 2 + + +@then("the CSV file contents should be updated with the contents of the data frame") +def data_frame_content_saved(context): + data_frame = pd.read_csv(context.write_csv_path) + assert 5 in data_frame["col2"].values + + +@then("the value I originally saved should be returned") +def reloaded_content_is_returned(context): + data_frame = get_sample_data_frame() + assert context.reloaded_df.equals(data_frame) + + +@then("the original data should be returned") +def original_data_is_returned(context): + assert context.data_from_memory_data_set.equals(context.test_data_frame) + + +@then("the new data frame should be returned") +def saved_data_is_returned(context): + assert context.data_from_memory_data_set.equals(context.new_data_frame) + + +@then("an error should be raised") +def error_reading_missing_csv(context): + assert context.data_set_error is not None + + +@then("an exception should be thrown") +def exception_is_thrown(context): + assert context.data_set_error_raised diff --git a/features/steps/io_parquet_steps.py b/features/steps/io_parquet_steps.py new file mode 100644 index 0000000000..01aba6a9f1 --- /dev/null +++ b/features/steps/io_parquet_steps.py @@ -0,0 +1,65 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Behave step definitions for Parquet load/save functionality +in the io_scenarios feature. +""" + +import pandas as pd +from behave import given, then, when +from pandas.util.testing import assert_frame_equal + +from kedro.io import ParquetLocalDataSet + + +@given("I have defined data in a pandas DataFrame") +def provide_df(context): + """Adds a dummy dataframe to the context.""" + people = pd.DataFrame( + {"Name": ["Alex", "Bob", "Clarke", "Dave"], "Age": [31, 12, 65, 29]} + ) + context.pandas_df = people + + +@when("I write a given data to a Parquet file") +def write_parquet_locally(context): + """Writes DataFrame as Parquet in a temporary directory.""" + file_name = "dummy.parq" + context.full_path = context.temp_dir / file_name + context.data_set = ParquetLocalDataSet(str(context.full_path)) + context.data_set.save(context.pandas_df) + assert context.full_path.exists() + + +@then("the data should be loaded without any alteration") +def parquet_content_returned(context): + """Load from data set, compare with original DataFrame + and delete temp directory. + """ + loaded_parquet = context.data_set.load() + assert_frame_equal(loaded_parquet, context.pandas_df) diff --git a/features/steps/io_sql_steps.py b/features/steps/io_sql_steps.py new file mode 100644 index 0000000000..19730f90db --- /dev/null +++ b/features/steps/io_sql_steps.py @@ -0,0 +1,124 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""Behave step definitions for the io core features.""" + +from pathlib import Path + +import pandas as pd +from behave import given, then, when + +from kedro.io import SQLQueryDataSet, SQLTableDataSet + +TABLE_A = "A" +TABLE_B = "B" +TABLE_C = "C" + + +def _get_sample_data(): + data = {"id": [1, 2], "name": ["me", "you"]} + return pd.DataFrame(data) + + +def _get_test_sql_con(): + return "sqlite:///kedro.db" + + +def _clear_db_(): + try: + Path("kedro.db").unlink() + except FileNotFoundError: + pass + + +def _prepare_read_samples(): + _clear_db_() + data_set = SQLTableDataSet( + table_name=TABLE_A, credentials=dict(con=_get_test_sql_con()) + ) + data_set.save(_get_sample_data()) + + +@given("I have defined an SQL data set with tables A and B") +def prepare_sql_data(context): + _prepare_read_samples() + context.data_set_a = SQLTableDataSet( + table_name=TABLE_A, credentials=dict(con=_get_test_sql_con()) + ) + context.data_set_b = SQLTableDataSet( + table_name=TABLE_B, credentials=dict(con=_get_test_sql_con()) + ) + + +@given("I have defined an SQL query data set with filtered query to table C") +def prepare_sql_query(context): + sample_data = _get_sample_data() + table_data_set = SQLTableDataSet( + table_name=TABLE_C, credentials=dict(con=_get_test_sql_con()) + ) + + table_data_set.save(sample_data) + sql = "SELECT * FROM C WHERE name='me'" + context.query_data_set = SQLQueryDataSet( + sql=sql, credentials=dict(con=_get_test_sql_con()) + ) + + +@when("I load from table A") +def read_from_sql_data_set(context): + context.result = context.data_set_a.load() + + +@when("I save to table B") +def write_to_sql_data_set(context): + context.data_set_b.save(data=_get_sample_data()) + + +@when("I query table C") +def read_query_data_set(context): + context.filtered_query_data = context.query_data_set.load() + + +@then("I should get the expected number of rows back") +def expected_number_of_rows(context): + assert len(context.result) == 2 + + +@then("I should get the filtered rows back") +def expected_number_filtered_rows(context): + assert len(context.filtered_query_data) == 1 + + +@then("I should get the written data back") +def read_written_data(context): + # pylint: disable=unused-argument + + data_set = SQLTableDataSet( + table_name=TABLE_B, credentials=dict(con=_get_test_sql_con()) + ) + result = data_set.load() + assert result.equals(_get_sample_data()) diff --git a/features/steps/pipeline_steps.py b/features/steps/pipeline_steps.py new file mode 100644 index 0000000000..7de0511abc --- /dev/null +++ b/features/steps/pipeline_steps.py @@ -0,0 +1,270 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Behave step definitions for running pipelines end to end.""" + +import logging +import shutil +import sys +from io import StringIO +from pathlib import Path +from shutil import copyfile + +import behave +import pandas as pd +import yaml +from behave import given, then, when +from pandas.util.testing import assert_frame_equal + +import features.steps.util as util +from features.steps.sh_run import run +from kedro.io import DataCatalog, MemoryDataSet + +LOG_EVIDENCE_PHRASE = "Running a risky operation" +INTENTIONAL_FAILURE = "Something intentionally went wrong." +INDENT4 = " " * 4 +INDENTED_NEWLINE = "\n" + INDENT4 + + +behave.register_type(CSV=util.parse_csv) + + +def identity(item): + """Function intended for identity node.""" + return item + + +def concatenate(item1, item2): + """Function intended for concatinating two items.""" + return item1 + item2 + + +def sum_dfs(dataframe1, dataframe2): + """pd.DataFrame Sum method that outputs a warning in the logs.""" + logging.getLogger("kedro.runner").warning(LOG_EVIDENCE_PHRASE) + return dataframe1 + dataframe2.values + + +def failing_function(item): + """Fail with an exception.""" + raise RuntimeError(INTENTIONAL_FAILURE) + + +def _set_up_temp_logging(context): + context.log_data = StringIO() + handler = logging.StreamHandler(context.log_data) + formatter = logging.Formatter("%(asctime)s %(levelname)s %(message)s") + handler.setFormatter(formatter) + logger = logging.getLogger("kedro.runner") + logger.setLevel(logging.INFO) + logger.handlers = [] + logger.addHandler(handler) + + +def _setup_template_files(context): + curr_dir = Path(__file__).parent + pipeline_file = ( + context.root_project_dir + / "src" + / context.project_name.replace("-", "_") + / "pipeline.py" + ) + + catalog_file = context.root_project_dir / "conf" / "base" / "catalog.yml" + + if pipeline_file.exists(): + pipeline_file.unlink() + copyfile(str(curr_dir / "pipeline_template.py"), str(pipeline_file)) + + if catalog_file.exists(): + catalog_file.unlink() + copyfile(str(curr_dir / "e2e_test_catalog.yml"), str(catalog_file)) + + with catalog_file.open("r") as cat_file: + catalog = yaml.load(cat_file) + + context.output_file1 = context.root_project_dir / catalog["E"]["filepath"] + context.output_file2 = context.root_project_dir / catalog["F"]["filepath"] + + df_a = pd.DataFrame({"col1": [1, 2], "col2": [3, 4], "col3": [5, 6]}) + df_c = pd.DataFrame({"col1": [9, 8], "col2": [7, 6], "col3": [5, 4]}) + + df_a.to_csv(context.root_project_dir / catalog["A"]["filepath"], index=False) + df_c.to_csv(context.root_project_dir / catalog["C"]["filepath"], index=False) + + _add_external_packages(context) + + +def _add_external_packages(context): + external_packages = getattr(context, "external_packages", []) + + if not external_packages: + return + + pipeline_file = ( + context.root_project_dir + / "src" + / context.project_name.replace("-", "_") + / "pipeline.py" + ) + with pipeline_file.open("at", encoding="utf-8") as _pf: + _imports = "\n".join("import {}".format(p) for p in external_packages) + _pf.write("\n{0}\n".format(_imports)) + + requirements_file = context.root_project_dir / "src" / "requirements.txt" + with requirements_file.open("at", encoding="utf-8") as _reqs: + _reqs.write("\n".join(external_packages) + "\n") + + +def _create_template_project(context): + # Sets the following fields on the context: + # - project_name (the simple project name == project-pipeline) + # - temp_dir (the directory containing the created project) + # - root_project_dir (the full path to the created project) + # - include_example (the project contains code example) + + context.project_name = "project-pipeline" + context.config_file = context.temp_dir / "config" + + root_project_dir = context.temp_dir / context.project_name + context.root_project_dir = root_project_dir + + context.include_example = True + + config = { + "project_name": context.project_name, + "repo_name": context.project_name, + "output_dir": str(context.temp_dir), + "python_package": context.project_name.replace("-", "_"), + "include_example": context.include_example, + } + + with context.config_file.open("w") as config_file: + yaml.dump(config, config_file, default_flow_style=False) + + res = run([context.kedro, "new", "-c", str(context.config_file)], env=context.env) + assert res.returncode == 0 + + _setup_template_files(context) + + +def resolve_free_inputs(context): + catalog = context.catalog if hasattr(context, "catalog") else None + feed_dict = context.feed_dict if hasattr(context, "feed_dict") else None + return catalog, feed_dict + + +@given( + "I have defined an io catalog containing " + '["{key1}", "{key2}", "{key3}", "{key4}"]' +) +def set_catalog(context, key1, key2, key3, key4): + ds1 = pd.DataFrame({"col1": [1, 2], "col2": [3, 4], "col3": [5, 6]}) + ds2 = pd.DataFrame({"col1": [9, 8], "col2": [7, 6], "col3": [5, 4]}) + context.catalog = DataCatalog( + { + key1: MemoryDataSet(ds1), + key2: MemoryDataSet(), + key3: MemoryDataSet(ds2), + key4: MemoryDataSet(), + } + ) + + +@given('I have added external packages "{external_packages}" to project requirements') +def add_external_packages(context, external_packages): + context.external_packages = [p.strip() for p in external_packages.split(",")] + + +@given("I have included a pipeline definition in a project template") +def create_template_with_pipeline(context): + _create_template_project(context) + + +@given('I have defined a node "{node_name}" tagged with {tags:CSV}') +def node_tagged_with(context, node_name, tags): + """ + Check tagging in `pipeline_template.py` is consistent with tagging + descriptions in background steps + """ + sys.path.append( + str(context.root_project_dir / "src" / context.project_name.replace("-", "_")) + ) + import pipeline # pylint: disable=import-error + + context.project_pipeline = pipeline.create_pipeline() + node_objs = [n for n in context.project_pipeline.nodes if n.name == node_name] + assert node_objs + assert set(tags) == node_objs[0].tags + + +@given('I have set the project log level to "{log_level}"') +def change_log_level_proj(context, log_level): + logging_yml = context.root_project_dir / "conf" / "base" / "logging.yml" + with logging_yml.open() as file_handle: + logging_conf = yaml.load(file_handle) + + logging_conf["handlers"]["console"]["level"] = log_level + logging_conf["loggers"]["kedro.pipeline"]["level"] = log_level + logging_conf["root"]["level"] = log_level + + with logging_yml.open("w") as file_handle: + yaml.dump(logging_conf, file_handle) + + +@when("the template pipeline is run") +def run_template_pipeline(context): + run_cmd = [context.kedro, "run"] + context.run_result = run( + run_cmd, env=context.env, cwd=str(context.root_project_dir) + ) + if context.run_result.returncode == 0: + context.df_e = pd.read_csv(context.output_file1) + context.df_f = pd.read_csv(context.output_file2) + shutil.rmtree(str(context.root_project_dir)) + + +@then("it should successfully produce the results") +def check_template_run_success(context): + if context.run_result.returncode: + print(context.run_result.stdout) + print(context.run_result.stderr) + assert False + assert_frame_equal(context.df_e, context.df_f) + assert context.df_e.values.tolist() == [[10, 10, 10], [10, 10, 10]] + assert context.df_f.values.tolist() == [[10, 10, 10], [10, 10, 10]] + + +@then('it should fail with an error message including "{msg}"') +def check_template_run_fail(context, msg): + assert context.run_result.returncode > 0 + try: + assert msg in context.run_result.stderr + except AssertionError: + print(context.run_result.stderr) + raise diff --git a/features/steps/pipeline_template.py b/features/steps/pipeline_template.py new file mode 100644 index 0000000000..000a16877a --- /dev/null +++ b/features/steps/pipeline_template.py @@ -0,0 +1,90 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import pandas as pd + +from kedro.pipeline import Pipeline, node + + +def identity(item): + return item + + +def sum_dfs(dataframe1: pd.DataFrame, dataframe2: pd.DataFrame): + return dataframe1 + dataframe2.values + + +def create_pipeline(*tags: str): + example_pipeline = Pipeline( + [ + node( + lambda x: x, + "A", + "B", + name="node_1", + tags=[ + "apple", + "orange", + "banana", + "lemon", + "grape", + "coconut", + "fresh strawberries!", + ], + ), + node( + sum_dfs, + ["B", "C"], + "D", + name="node_2", + tags=["apple", "orange", "lemon"], + ), + node( + identity, + "D", + "E", + name="node_3", + tags=["apple", "orange", "banana", "cherry"], + ), + node(identity, "D", "F", name="node_4", tags=["apple", "cherry"]), + ] + ) + + if tags: + pipeline = Pipeline([]) + for tag in tags: + pipeline += example_pipeline.only_nodes_with_tags(tag) + if not pipeline.nodes: + raise ValueError( + "Not found any nodes having any of the following " + "tags attached: {}".format(", ".join(tags)) + ) + else: + pipeline = example_pipeline + + return pipeline diff --git a/features/steps/sh_run.py b/features/steps/sh_run.py new file mode 100644 index 0000000000..fbf2007d8e --- /dev/null +++ b/features/steps/sh_run.py @@ -0,0 +1,138 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import shlex +import subprocess +from typing import Dict, List, Union + +import psutil + + +def run( + cmd: Union[list, str], + split: bool = True, + print_output: bool = False, + **kwargs: Dict +) -> int: + """Run a shell command. + + Args: + cmd: A command string, or a command followed by program + arguments that will be submitted to Popen to run. + + split: Flag that splits command to provide as multiple *args + to Popen. Default is True. + + print_output: If True will print previously captured stdout. + Default is False. + + kwargs: Extra options to pass to subprocess. + + Example: + :: + "ls" + "ls -la" + "chmod 754 local/file" + + Returns: + Result with attributes args, returncode, stdout and + stderr. By default, stdout and stderr are not captured, and those + attributes will be None. Pass stdout=PIPE and/or stderr=PIPE in order + to capture them. + + """ + if isinstance(cmd, str) and split: + cmd = shlex.split(cmd) + result = subprocess.run( + cmd, input="", stdout=subprocess.PIPE, stderr=subprocess.PIPE, **kwargs + ) + result.stdout = result.stdout.decode("utf-8") + result.stderr = result.stderr.decode("utf-8") + if print_output: + print(result.stdout) + return result + + +def check_run(cmd: Union[list, str], print_output: bool = False) -> None: + """ + Run cmd using subprocess.check_call (throws error if non-zero value + returned) + + Args: + cmd: command to be run + print_output: whether to print output + """ + if isinstance(cmd, str): + split_cmd = shlex.split(cmd) + else: + split_cmd = cmd + + if print_output: + subprocess.check_call(split_cmd) + else: + subprocess.check_call(split_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) + + +class ChildTerminatingPopen(subprocess.Popen): + """Extend subprocess.Popen class to automatically kill child processes + when terminated. + + Note: + On GNU/Linux child processes are not killed automatically if the parent + dies (so-called orphan processes) + """ + + def __init__(self, cmd: List[str], **kwargs) -> None: + """ + Initializer pipes stderr and stdout. + + Args: + cmd: command to be run. + **kwargs: keyword arguments such as env and cwd + + """ + super(ChildTerminatingPopen, self).__init__( + cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, **kwargs + ) + + def terminate(self) -> None: + """Terminate process and children.""" + try: + proc = psutil.Process(self.pid) + procs = [proc] + proc.children(recursive=True) + except psutil.NoSuchProcess: + pass + else: + for proc in reversed(procs): + try: + proc.terminate() + except psutil.NoSuchProcess: + pass + alive = psutil.wait_procs(procs, timeout=3)[1] + for proc in alive: + proc.kill() diff --git a/features/steps/util.py b/features/steps/util.py new file mode 100644 index 0000000000..8d607ce7e8 --- /dev/null +++ b/features/steps/util.py @@ -0,0 +1,223 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Common functions for e2e testing. +""" + +import os +import re +import subprocess +import tempfile +import venv +from contextlib import contextmanager +from pathlib import Path +from time import sleep, time +from typing import Any, Callable, Iterator, List + +import pandas as pd +import requests + +PIP_INSTALL_SCRIPT = "https://bootstrap.pypa.io/get-pip.py" + + +def get_sample_csv_content(): + return """col1, col2, col3 + 1, 2, 3 + 4, 5, 6 + """ + + +def get_sample_data_frame(): + data = {"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]} + return pd.DataFrame(data) + + +def create_temp_csv(): + _, csv_file_path = tempfile.mkstemp(suffix=".csv") + return csv_file_path + + +def create_sample_csv(): + csv_file_path = create_temp_csv() + with open(csv_file_path, mode="w") as output_file: + output_file.write(get_sample_csv_content()) + return csv_file_path + + +@contextmanager +def chdir(path: Path) -> Iterator: + # pylint: disable=W9014 + """Context manager to help execute code in a different directory. + + Args: + path: directory to change to. + + Yields: + None + """ + old_pwd = os.getcwd() + os.chdir(str(path)) + try: + yield + finally: + os.chdir(old_pwd) + + +class WaitForException(Exception): + pass + + +def wait_for( + func: Callable, + timeout_: int = 10, + print_error: bool = False, + sleep_for: int = 1, + **kwargs +) -> Any: + """Run specified function until it returns expected result until timeout. + + Args: + func: Specified function. + timeout_: Time out in seconds. Defaults to 10. + print_error: whether any exceptions raised should be printed. + Defaults to False. + sleep_for: Execute func every specified number of seconds. + Defaults to 1. + **kwargs: Arguments to be passed to func. + + Raises: + WaitForException: if func doesn't return expected result within the + specified time. + + Returns: + Function return. + + """ + end = time() + timeout_ + while time() <= end: + try: + result = func(**kwargs) + return result + except Exception as err: # pylint: disable=broad-except + if print_error: + print(err) + + sleep(sleep_for) + raise WaitForException( + "func: %s, didn't return within specified timeout: %d" % (func, timeout_) + ) + + +def create_new_venv() -> str: + """Create a new venv. + + Note: Due to a bug in Python 3.5.2 pip needs to be manually installed. + + Returns: + path to created venv + """ + # Create venv + venv_dir = Path(tempfile.mkdtemp()) + venv.main([str(venv_dir), "--without-pip"]) + + if os.name == "posix": + python_executable = venv_dir / "bin" / "python" + else: + python_executable = venv_dir / "Scripts" / "python.exe" + + # Download and run pip installer + # Windows blocks access unless delete set to False + with tempfile.NamedTemporaryFile(delete=False) as tmp_file: + tmp_file.write(requests.get(PIP_INSTALL_SCRIPT).content) + tmp_file.flush() + os.fsync(tmp_file) + subprocess.check_call([str(python_executable), tmp_file.name]) + + os.unlink(tmp_file.name) + return venv_dir + + +def get_logline_count(logfile: str) -> int: + """Get line count in logfile + + Note: If logfile doesn't exist will return 0 + + Args: + logfile: path to logfile + + Returns: + line count of logfile + """ + try: + with open(logfile) as file_handle: + return sum(1 for i in file_handle) + except FileNotFoundError: + return 0 + + +def get_last_logline(logfile: str) -> str: + """Get last line of logfile + + Args: + logfile: path to logfile + + Returns: + last line of logfile + """ + line = "" + with open(logfile) as file_handle: + for line in file_handle: + pass + + return line + + +def get_logfile_path(proj_dir: Path) -> str: + """ + Helper function to fet full path of `pipeline.log` inside project + + Args: + proj_dir: path to proj_dir + + Returns: + path to `pipeline.log` + """ + log_file = (proj_dir / "logs" / "visualization" / "pipeline.log").absolute() + return str(log_file) + + +def parse_csv(text: str) -> List[str]: + """Parse comma separated **double quoted** strings in behave steps + + Args: + text: double quoted comma separated string + + Returns: + List of string tokens + """ + return re.findall(r"\"(.+?)\"\s*,?", text) diff --git a/features/subpipelines.feature b/features/subpipelines.feature new file mode 100644 index 0000000000..17927fb5de --- /dev/null +++ b/features/subpipelines.feature @@ -0,0 +1,97 @@ +Feature: Run subpipelines + + Note that node tagging below is currently hardcoded in `pipeline_template.py` + + Background: + Given I have included a pipeline definition in a project template + And I have defined a node "node_1" tagged with "apple", "orange", "banana", "lemon", "grape", "coconut", "fresh strawberries!" + And I have defined a node "node_2" tagged with "apple", "orange", "lemon" + And I have defined a node "node_3" tagged with "apple", "orange", "banana", "cherry" + And I have defined a node "node_4" tagged with "apple", "cherry" + And I have set the project log level to "DEBUG" + + Scenario: Run subpipeline of one node using two tags + + When with tags "coconut", "grape", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 1 nodes were run + And the console log should show that "node_1" was run + + Scenario: Run subpipeline of one node using a tag with spaces and special characters + + When with tags "fresh strawberries!", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 1 nodes were run + And the console log should show that "node_1" was run + + Scenario: Run subpipeline of two nodes using one tag + + When with tags "lemon", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 2 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + + Scenario: Run subpipeline of three nodes using one tag + + When with tags "orange", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 3 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + And the console log should show that "node_3" was run + + Scenario: Run subpipeline of four nodes using one tag + + When with tags "apple", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 4 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + And the console log should show that "node_3" was run + And the console log should show that "node_4" was run + + Scenario: Run subpipeline of four nodes using two tags with discrete ranges + + Effectively checks a valid subpipeline is constructed when a tag is issued + which applies to a subset of nodes, and another tag is issued which applies + to the other subset of nodes. + + When with tags "lemon", "apple", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 4 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + And the console log should show that "node_3" was run + And the console log should show that "node_4" was run + + Scenario: Run subpipeline with conflicting tags + + Run pipeline with one tag that is tagged to 2 nodes and another that is + tagged to 4 nodes + + When with tags "lemon", "cherry", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 4 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + And the console log should show that "node_3" was run + And the console log should show that "node_4" was run + + Scenario: Run an incomplete subpipeline (missing node) + + When with tags "coconut", "cherry", I execute the kedro command "run" + Then I should get an error exit code + + Scenario: Run subpipeline using invalid tag + + When with tags "blob", I execute the kedro command "run" + Then I should get an error exit code + + Scenario: Run subpipeline using a valid and invalid tag + + When with tags "blob", "lemon", I execute the kedro command "run" + Then I should get a successful exit code + And the console log should show that 2 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run diff --git a/features/test.feature b/features/test.feature new file mode 100644 index 0000000000..2f4ad4faee --- /dev/null +++ b/features/test.feature @@ -0,0 +1,44 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Test target in new project + + Background: + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + And I have executed the kedro command "install" + + Scenario: Execute successful test in new project + When I execute the kedro command "test" + Then I should get a successful exit code + + Scenario: Execute failing test in new project + Given the example test has been set to fail + When I execute the kedro command "test" + Then I should get an error exit code diff --git a/features/version.feature b/features/version.feature new file mode 100644 index 0000000000..94f7a1fdfe --- /dev/null +++ b/features/version.feature @@ -0,0 +1,38 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +Feature: Kedro version + + Scenario: Check kedro version + When I ask the CLI for a version + Then CLI should print the version in an expected format + + Scenario: Check kedro version using python -m + When I ask the CLI for a version using python -m + Then CLI should print the version in an expected format diff --git a/img/kedro_banner.jpg b/img/kedro_banner.jpg new file mode 100644 index 0000000000000000000000000000000000000000..415e4a23461c1086e9f39892e669698e9443f3ea GIT binary patch literal 728485 zcmeFa2YeLe`Zhef=^;QG9drqy1p?Dc6v?zDp&3J{Ha5GP5C};~LJ^M|LT?HY5X2Ii 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HcmV?d00001 diff --git a/kedro/__init__.py b/kedro/__init__.py new file mode 100644 index 0000000000..43c0f1facd --- /dev/null +++ b/kedro/__init__.py @@ -0,0 +1,39 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Kedro is a framework that makes it easy to build robust and scalable +data pipelines by providing uniform project templates, data abstraction, +configuration and pipeline assembly. +""" + +__version__ = "0.14.0" + + +import logging + +logging.getLogger(__name__).addHandler(logging.NullHandler()) diff --git a/kedro/__main__.py b/kedro/__main__.py new file mode 100644 index 0000000000..710b97ca59 --- /dev/null +++ b/kedro/__main__.py @@ -0,0 +1,37 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Entry point when invoked with python -m kedro.""" # pragma: no cover + +if __name__ == "__main__": # pragma: no cover + import sys + from kedro.cli import main + + if sys.argv[0].endswith("__main__.py"): + sys.argv[0] = "python -m kedro" + main() diff --git a/kedro/cli/__init__.py b/kedro/cli/__init__.py new file mode 100644 index 0000000000..a34791eea3 --- /dev/null +++ b/kedro/cli/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""kedro is a CLI for creating Kedro projects. + +This module implements commands available from the kedro CLI. +""" + +from kedro.cli.cli import get_project_context, main # NOQA diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py new file mode 100644 index 0000000000..d42d58bc87 --- /dev/null +++ b/kedro/cli/cli.py @@ -0,0 +1,563 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""kedro is a CLI for creating Kedro projects. + +This module implements commands available from the kedro CLI. +""" +import glob +import importlib +import os +import re +import shutil +import sys +import traceback +import webbrowser +from pathlib import Path +from typing import Any, Callable, Dict, List, Union + +import click +import pkg_resources +import yaml +from cookiecutter.main import cookiecutter + +import kedro.config.default_logger # noqa +from kedro import __version__ as version +from kedro.cli.utils import CommandCollection, KedroCliError + +KEDRO_PATH = os.path.dirname(kedro.__file__) +TEMPLATE_PATH = os.path.join(KEDRO_PATH, "template") +CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) + +NO_DEFAULT = object() +_KEDRO_CONTEXT = {"verbose": True} + +LOGO = r""" + _ _ +| | _____ __| |_ __ ___ +| |/ / _ \/ _` | '__/ _ \ +| < __/ (_| | | | (_) | +|_|\_\___|\__,_|_| \___/ +v{} +""".format( + version +) + + +@click.group(context_settings=CONTEXT_SETTINGS, name="Kedro") +@click.version_option(version, "--version", "-V", help="Show version and exit") +@click.option( + "--verbose", + "-v", + is_flag=True, + help="See extensive logging and error stack traces.", +) +def cli(verbose): + """Kedro is a CLI for creating and using Kedro projects + For more information, type ``kedro info``. + + When inside a Kedro project (created with `kedro new`) commands from + the project's `kedro_cli.py` file will also be available here. + """ + _KEDRO_CONTEXT["verbose"] = verbose + + +@cli.command() +def info(): + """Get more information about kedro. + """ + click.secho(LOGO, fg="green") + click.echo( + "kedro allows teams to create analytics\n" + "projects. It is developed as part of\n" + "the Kedro initiative at QuantumBlack." + ) + + +@cli.command(short_help="Create a new kedro project.") +@click.option( + "--config", + "-c", + type=click.Path(exists=True), + help="Non-interactive mode, using a configuration yaml file.", +) +def new(config): + """Create a new kedro project, either interactively or from a + configuration file. + + Create projects according to the Kedro default project template. This + template is ideal for analytics projects and comes with a data + architecture, folders for notebooks, configuration, source code, etc. + + \b + ``kedro new`` + Create a new project interactively. + + \b + You will have to provide four choices: + * ``Output Directory`` - parent directory where new project directory + should be created. + * ``Project Name`` - name of the project, not to be confused with name of + the project folder. + * ``Repository Name`` - intended name of your project folder. + * ``Package Name`` - intended name of your Python package. + + \b + ``kedro new --config <config.yml>`` + ``kedro new -c <config.yml>`` + Create a new project from configuration. + + * ``config.yml`` - The configuration YAML must contain at the top level + the above parameters (output_dir, project_name, repo_name, + python_package). + """ + _create_project(config, _KEDRO_CONTEXT["verbose"]) + + +@cli.command(short_help="See the kedro API docs and introductory tutorial.") +def docs(): + """Display the API docs and introductory tutorial in the browser, + using the packaged HTML doc files.""" + index_path = "file://" + os.path.realpath( + os.path.join( + os.path.realpath(__file__), os.pardir, os.pardir, "html", "index.html" + ) + ) + click.echo("Opening " + index_path) + webbrowser.open(index_path) + + +def _clean_pycache(project_path): + # Since template is part of the Kedro package __pycache__ is generated. + # This method recursively cleans all __pycache__ folders. + to_delete = [ + os.path.join(project_path, filename) + for filename in glob.iglob(project_path + "/**/*", recursive=True) + if filename.endswith("__pycache__") + ] + + for file in to_delete: # pragma: no cover + shutil.rmtree(file) + + +def _create_project(config_path: str, verbose: bool): + """Implementation of the kedro new cli command. + + Args: + config_path: In non-interactive mode, the path of the config.yml which + should contain the project_name, output_dir and repo_name. + verbose: Extensive debug terminal logs. + """ + try: + if config_path: + config = _parse_config(config_path, verbose) + config = _check_config_ok(config_path, config) + else: + config = _get_config_from_prompts() + config.setdefault("kedro_version", version) + + result_path = cookiecutter( + TEMPLATE_PATH, + output_dir=config["output_dir"], + no_input=True, + extra_context=config, + ) + if not config["include_example"]: + paths_to_remove = [ + os.path.join(result_path, "data", "01_raw", "iris.csv"), + os.path.join( + result_path, "src", config["python_package"], "nodes", "example.py" + ), + ] + + for path in paths_to_remove: + os.remove(path) + _clean_pycache(result_path) + _print_kedro_new_success_message(result_path) + except click.exceptions.Abort: # pragma: no cover + _handle_exception("User interrupt.") + # we dont want the user to see a stack trace on the cli + except Exception: # pylint: disable=broad-except + _handle_exception("Failed to generate project.") + + +def _get_config_from_prompts() -> Dict: + """Ask user to provide necessary inputs. + + Returns: + Resulting config dictionary. + + """ + + def _get_user_input( + text: str, + default: Any = None, + assert_or_check_funcs: Union[Callable, List[Callable]] = None, + ) -> Any: + """Get user input and validate it. + + Args: + text: Text to display in command line prompt. + default: Default value for the input. + assert_or_check_funcs: List of functions to apply to user input. + Value is overridden by function output if the latter is + not None. + + Returns: + Processed user value. + + """ + if callable(assert_or_check_funcs): + assert_or_check_funcs = [assert_or_check_funcs] + else: + assert_or_check_funcs = assert_or_check_funcs or [] + while True: + try: + value = click.prompt(text, default=default) + for _func in assert_or_check_funcs: + _func(value) + except KedroCliError as exc: + click.secho(str(exc), fg="red", err=True) + else: + break + return value + + # set output directory to the current directory + output_dir = os.path.abspath(os.path.curdir) + + # get project name + project_name_prompt = _get_prompt_text( + "Project Name:", + "Please enter a human readable name for your new project.", + "Spaces and punctuation are allowed.", + ) + + project_name = _get_user_input(project_name_prompt, default="New Kedro Project") + + normalized_project_name = re.sub(r"[^\w-]+", "-", project_name).lower().strip("-") + + # get repo name + repo_name_prompt = _get_prompt_text( + "Repository Name:", + "Please enter a directory name for your new project repository.", + "Alphanumeric characters, hyphens and underscores are allowed.", + "Lowercase is recommended.", + ) + repo_name = _get_user_input( + repo_name_prompt, normalized_project_name, _assert_repo_name_ok + ) + + # get python package_name + default_pkg_name = normalized_project_name.replace("-", "_") + pkg_name_prompt = _get_prompt_text( + "Python Package Name:", + "Please enter a valid Python package name for your project package.", + "Alphanumeric characters and underscores are allowed.", + "Lowercase is recommended. Package name must start with a letter " + "or underscore.", + ) + python_package = _get_user_input( + pkg_name_prompt, default_pkg_name, _assert_pkg_name_ok + ) + + # option for whether iris example code is included in the project + code_example_prompt = _get_prompt_text( + "Generate Example Pipeline:", + "Do you want to generate an example pipeline in your project?", + "Good for first-time users. (default=N)", + ) + include_example = click.confirm(code_example_prompt, default=False) + + return { + "output_dir": output_dir, + "project_name": project_name, + "repo_name": repo_name, + "python_package": python_package, + "include_example": include_example, + } + + +def _parse_config(config_path: str, verbose: bool) -> Dict: + """Parse the config YAML from its path. + + Args: + config_path: The path of the config.yml file. + verbose: Print the config contents. + + Raises: + Exception: If the file cannot be parsed. + + Returns: + The config as a dictionary. + + """ + try: + with open(config_path, "r") as config_file: + config = yaml.load(config_file) + + if verbose: + click.echo(config_path + ":") + click.echo(yaml.dump(config, default_flow_style=False)) + + return config + + except Exception as exc: + click.secho("Failed to parse " + config_path, fg="red", err=True) + _show_example_config() + raise exc + + +def _check_config_ok(config_path: str, config: Dict[str, Any]) -> Dict[str, Any]: + """Check that the configuration file contains all needed variables. + + Args: + config_path: The path of the config file. + config: The config as a dictionary. + + Returns: + Config dictionary. + + Raises: + KedroCliError: If the config file is empty or does not contain all + keys from template/cookiecutter.json and output_dir. + + """ + if config is None: + _show_example_config() + raise KedroCliError(config_path + " is empty") + + required_in_config = _get_default_config().keys() + + for var in required_in_config: + if var not in config: + click.echo("\n" + config_path + ":") + click.echo(yaml.dump(config, default_flow_style=False)) + _show_example_config() + + raise KedroCliError("[" + var + "] not found in " + config_path) + + config["output_dir"] = _fix_user_path(config["output_dir"]) + _assert_output_dir_ok(config["output_dir"]) + _assert_repo_name_ok(config["repo_name"]) + _assert_pkg_name_ok(config["python_package"]) + _assert_include_example_ok(config["include_example"]) + return config + + +def _get_default_config(): + default_config_path = os.path.join(TEMPLATE_PATH, "default_config.yml") + with open(default_config_path) as default_config_file: + default_config = yaml.load(default_config_file) + return default_config + + +def _assert_output_dir_ok(output_dir: str): + """Check that output directory exists. + + Args: + output_dir: Output directory path. + + Raises: + KedroCliError: If the output directory does not exist. + + """ + if not os.path.exists(output_dir): + message = ( + "`{}` is not a valid output directory. " + "It must be a relative or absolute path " + "to an existing directory.".format(output_dir) + ) + raise KedroCliError(message) + + +def _assert_pkg_name_ok(pkg_name: str): + """Check that python package name is in line with PEP8 requirements. + + Args: + pkg_name: Candidate Python package name. + + Raises: + KedroCliError: If package name violates the requirements. + """ + + base_message = "`{}` is not a valid Python package name.".format(pkg_name) + if not re.match(r"^[a-zA-Z_]", pkg_name): + message = base_message + " It must start with a letter or underscore." + raise KedroCliError(message) + if len(pkg_name) < 2: + message = base_message + " It must be at least 2 characters long." + raise KedroCliError(message) + if not re.match(r"^\w+$", pkg_name[1:]): + message = ( + base_message + " It must contain only letters, " + "digits, and/or underscores." + ) + raise KedroCliError(message) + + +def _assert_repo_name_ok(repo_name): + if not re.match(r"^\w+(-*\w+)*$", repo_name): + message = ( + "`{}` is not a valid repository name. It must contain " + "only word symbols and/or hyphens, must also start and " + "end with alphanumeric symbol.".format(repo_name) + ) + raise KedroCliError(message) + + +def _assert_include_example_ok(include_example): + if not isinstance(include_example, bool): + message = ( + "`{}` value for `include_example` is invalid. It must be a boolean value " + "True or False.".format(include_example) + ) + raise KedroCliError(message) + + +def _fix_user_path(output_dir): + output_dir = output_dir or "" + output_dir = os.path.expanduser(output_dir) + + result = os.path.abspath(output_dir) + return result + + +def _show_example_config(): + click.secho("Example of valid config.yml:") + default_config = _get_default_config() + for key, value in default_config.items(): + click.secho( + click.style(key + ": ", bold=True, fg="yellow") + + click.style(str(value), fg="cyan") + ) + click.echo("") + + +def _print_kedro_new_success_message(result): + click.secho("Project generated in " + os.path.abspath(result), fg="green") + click.secho( + "Don't forget to initialise git and create a virtual environment. " + "Refer to the Kedro documentation." + ) + + +def _get_prompt_text(title, *text): + title = title.strip().title() + title = click.style(title + "\n" + "=" * len(title), bold=True) + prompt_text = [title] + list(text) + return "\n".join(str(x).strip() for x in prompt_text) + "\n" + + +def get_project_context(key, default=NO_DEFAULT): # pragma: no cover + """Get a value from the project context.""" + try: + kedro_cli = importlib.import_module("kedro_cli") + kedro_context = _KEDRO_CONTEXT.copy() + kedro_context.update(kedro_cli.__get_kedro_context__()) + value = kedro_context[key] + except KeyError: + if default is not NO_DEFAULT: + return default + _handle_exception( + "`{}` not found in the context returned by " + "__get_kedro_context__".format(key) + ) + + return value + + +def _get_plugin_command_groups(name): # pragma: no cover + entry_points = pkg_resources.iter_entry_points( + group="kedro.{}_commands".format(name) + ) + groups = [] + for entry_point in entry_points: + try: + groups.append(entry_point.load()) + except Exception: # pylint: disable=broad-except + _handle_exception( + "Loading {} commands from {}".format(name, str(entry_point)), end=False + ) + return groups + + +def main(): # pragma: no cover + """Main entry point, look for a `kedro_cli.py` and if found add its + commands to `kedro`'s then invoke the cli. + """ + + # run plugin initilization + for entry_point in pkg_resources.iter_entry_points(group="kedro.init"): + try: + init_hook = entry_point.load() + init_hook() + except Exception: # pylint: disable=broad-except + _handle_exception("Initilizing {}".format(str(entry_point)), end=False) + + global_groups = [cli] + global_groups.extend(_get_plugin_command_groups("global")) + project_groups = [] + + # load project commands from kedro_cli.py + path = Path.cwd() + kedro_cli_path = path / "kedro_cli.py" + + if kedro_cli_path.exists(): + try: + sys.path.append(str(path)) + kedro_cli = importlib.import_module("kedro_cli") + project_groups.extend(_get_plugin_command_groups("project")) + project_groups.append(kedro_cli.cli) + except Exception: # pylint: disable=broad-except + _handle_exception( + "Cannot load commands from {}".format(str(kedro_cli_path)) + ) + CommandCollection( + ("Global commands", global_groups), + ("Project specific commands", project_groups), + )() + + +def _handle_exception(msg, end=True): + """Pretty print the current exception then exit.""" + if _KEDRO_CONTEXT["verbose"]: + click.secho(traceback.format_exc(), nl=False, fg="yellow") + else: + etype, value, _ = sys.exc_info() + click.secho( + "".join(*traceback.format_exception_only(etype, value)) + + "Run with --verbose to see the full exception", + fg="yellow", + ) + if end: + raise KedroCliError(msg) + click.secho("Error: " + msg, fg="red") # pragma: no cover + + +if __name__ == "__main__": # pragma: no cover + main() diff --git a/kedro/cli/utils.py b/kedro/cli/utils.py new file mode 100644 index 0000000000..f01cf62cab --- /dev/null +++ b/kedro/cli/utils.py @@ -0,0 +1,140 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Utilities for use with click.""" + +import re +import shlex +import subprocess +import sys +from itertools import chain +from pathlib import Path +from typing import List, Tuple, Union + +import click +from click import ClickException, style + +CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) + + +def call(cmd, **kwargs): # pragma: no cover + """Run a subprocess command and exit if it fails.""" + print(" ".join(shlex.quote(c) for c in cmd)) + res = subprocess.run(cmd, **kwargs).returncode + if res: + sys.exit(res) + + +def python_call(module, arguments, **kwargs): # pragma: no cover + """Run a subprocess command that invokes a Python module.""" + call([sys.executable, "-m", module] + list(arguments), **kwargs) + + +def forward_command(group, name=None, forward_help=False): + """A command that receives the rest of the command line as 'args'.""" + + def wrapit(func): + func = click.argument("args", nargs=-1, type=click.UNPROCESSED)(func) + func = group.command( + name=name, + context_settings=dict( + ignore_unknown_options=True, + help_option_names=[] if forward_help else ["-h", "--help"], + ), + )(func) + return func + + return wrapit + + +class CommandCollection(click.CommandCollection): + """Modified from the Click one to still run the source groups function.""" + + def __init__(self, *groups: Tuple[str, List[click.core.Group]]): + self.groups = groups + sources = list(chain.from_iterable(groups for title, groups in groups)) + help_strs = [source.help for source in sources if source.help] + super().__init__( + sources=sources, + help="\n\n".join(help_strs), + context_settings=CONTEXT_SETTINGS, + ) + self.params = sources[0].params + self.callback = sources[0].callback + + def format_commands( + self, ctx: click.core.Context, formatter: click.formatting.HelpFormatter + ): + for title, groups in self.groups: + for group in groups: + formatter.write( + click.style("\n{} from {}".format(title, group.name), fg="green") + ) + group.format_commands(ctx, formatter) + + +def get_pkg_version(reqs_path: (Union[str, Path]), package_name: str) -> str: + """Get package version from requirements.txt. + + Args: + reqs_path: Path to requirements.txt file. + package_name: Package to search for. + + Returns: + Package and its version as specified in requirements.txt. + + Raises: + KedroCliError: If the file specified in ``reqs_path`` does not exist + or ``package_name`` was not found in that file. + """ + if isinstance(reqs_path, str): + reqs_path = Path(reqs_path) + reqs_path = reqs_path.absolute() + if not reqs_path.is_file(): + raise KedroCliError( + "Given path `{0}` is not a regular file.".format(str(reqs_path)) + ) + + pattern = re.compile(package_name + r"([^\w]|$)") + with open(str(reqs_path), "r") as reqs_file: + for req_line in reqs_file: + req_line = req_line.strip() + if pattern.search(req_line): + return req_line + msg = "Cannot find `{0}` package in `{1}`.".format(package_name, str(reqs_path)) + raise KedroCliError(msg) + + +class KedroCliError(ClickException): + """Exceptions generated from the Kedro CLI. + + Users should pass an appropriate message at the constructor. + """ + + def format_message(self): + return style(self.message, fg="red") # pragma: no cover diff --git a/kedro/config/__init__.py b/kedro/config/__init__.py new file mode 100644 index 0000000000..05dcd3dd26 --- /dev/null +++ b/kedro/config/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``kedro.config`` provides functionality for loading Kedro +configuration from different file formats. +""" + + +from .config import ConfigLoader # NOQA diff --git a/kedro/config/config.py b/kedro/config/config.py new file mode 100644 index 0000000000..1ff85ec199 --- /dev/null +++ b/kedro/config/config.py @@ -0,0 +1,237 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""This module provides ``kedro.config`` with the functionality to load one +or more configuration files from specified paths. +""" +import logging +from glob import iglob +from pathlib import Path +from typing import Any, Dict, List, Tuple, Union + +import anyconfig + +SUPPORTED_EXTENSIONS = [ + ".yml", + ".yaml", + ".json", + ".ini", + ".pickle", + ".properties", + ".xml", + ".shellvars", +] + + +class ConfigLoader: + """Recursively scan the directories specified in ``conf_paths`` for + configuration files with a ``yaml``, ``yml``, ``json``, ``ini``, + ``pickle``, ``xml``, ``properties`` or ``shellvars`` extension, + load them, and return them in the form of a config dictionary. + + When the same top-level key appears in any 2 config files located in + the same ``conf_path`` (sub)directory, a ``ValueError`` is raised. + + When the same key appears in any 2 config files located in different + ``conf_path`` directories, the last processed config path takes + precedence and overrides this key. + + For example, if your ``conf_path`` looks like this: + :: + + . + └── conf +    ├── README.md + ├── base +    │   ├── catalog.yml +    │   ├── logging.yml +    │   └── experiment1 +    │   └── parameters.yml +    └── local +       ├── catalog.yml +       ├── db.ini +       ├── experiment1 +       │ ├── parameters.yml +       │ └── model_parameters.yml +       └── experiment2 +       └── parameters.yml +    + + You can access the different configurations as follows: + :: + + >>> import logging.config + >>> from kedro.config import ConfigLoader + >>> + >>> conf_paths = ['conf/base', 'conf/local'] + >>> conf_loader = ConfigLoader(conf_paths) + >>> + >>> conf_logging = conf_loader.get('logging*') + >>> logging.config.dictConfig(conf_logging) # set logging conf + >>> + >>> conf_catalog = conf_loader.get('catalog*', 'catalog*/**') + >>> conf_params = conf_loader.get('**/parameters.yml') + + """ + + def __init__(self, conf_paths: Union[str, List[str]]): + """Instantiate a ConfigLoader. + + Args: + conf_paths: Non-empty path or list of paths to configuration + directories. + Raises: + ValueError: If ``conf_paths`` is empty. + + """ + if not conf_paths: + raise ValueError( + "`conf_paths` must contain at least one path to " + "load configuration files from." + ) + if isinstance(conf_paths, str): + conf_paths = [conf_paths] + self.conf_paths = conf_paths + self.logger = logging.getLogger(__name__) + + def get(self, *patterns: str) -> Dict[str, Any]: + """Recursively scan for configuration files, load and merge them, and + return them in the form of a config dictionary. + + Args: + patterns: Glob patterns to match. Files, which names match + any of the specified patterns, will be processed. + + Raises: + ValueError: If 2 or more configuration files inside the same + config path (or its subdirectories) contain the same + top-level key. + + Returns: + Dict[str, Any]: A Python dictionary with the combined + configuration from all configuration files. **Note:** any keys + that start with `_` will be ignored. + """ + + if not patterns: + raise ValueError( + "`patterns` must contain at least one glob " + "pattern to match config filenames against." + ) + + config = {} + processed_files = [] + + for conf_path in self.conf_paths: + new_conf, new_processed_files = _load_config(conf_path, list(patterns)) + common_keys = config.keys() & new_conf.keys() + if common_keys: + sorted_keys = ", ".join(sorted(common_keys)) + msg = ( + "Config from path `%s` will override the following " + "existing top-level config keys: %s" + ) + self.logger.debug(msg, conf_path, sorted_keys) + config.update(new_conf) + processed_files.extend(new_processed_files) + if not processed_files: + raise ValueError( + "No files found in {} matching the glob " + "pattern(s): {}".format(str(self.conf_paths), str(list(patterns))) + ) + return config + + +def _load_config( + conf_path: str, patterns: List[str] +) -> Tuple[Dict[str, Any], List[Path]]: + """Recursively load all configuration files, which satisfy + a given list of glob patterns from a specific path. + + Args: + conf_path: Path to a kedro configuration directory. + patterns: List of glob patterns to match the filenames against. + + Raises: + ValueError: If 2 or more configuration files contain the same key(s). + + Returns: + Resulting configuration dictionary. + + """ + + conf_path = Path(conf_path) + if not conf_path.is_dir(): + raise ValueError( + "Given configuration path either does not exist " + "or is not a valid directory: {0}".format(conf_path) + ) + config = {} + keys_by_filepath = {} + + def _check_dups(file1, conf): + dups = [] + for file2, keys in keys_by_filepath.items(): + common = ", ".join(sorted(conf.keys() & keys)) + if common: + common = common[:100] + (common[100:] and "...") + dups.append(str(file2) + ": " + common) + + if dups: + msg = "Duplicate keys found in {0} and:\n- {1}".format( + file1, "\n- ".join(dups) + ) + raise ValueError(msg) + + for path in _path_lookup(conf_path, patterns): + cfg = {k: v for k, v in anyconfig.load(path).items() if not k.startswith("_")} + _check_dups(path, cfg) + keys_by_filepath[path] = cfg.keys() + config.update(cfg) + return config, list(keys_by_filepath.keys()) + + +def _path_lookup(conf_path: Path, patterns: List[str]) -> List[Path]: + """Return a sorted list of all configuration files from ``conf_path`` or + its subdirectories, which satisfy a given list of glob patterns. + + Args: + conf_path: Path to configuration directory. + patterns: List of glob patterns to match the filenames against. + + Returns: + Sorted list of ``Path`` objects representing configuration files. + + """ + result = set() + + for pattern in patterns: + for path in iglob(str(conf_path / pattern), recursive=True): + path = Path(path).resolve() + if path.is_file() and path.suffix in SUPPORTED_EXTENSIONS: + result.add(path) + return sorted(result) diff --git a/kedro/config/default_logger.py b/kedro/config/default_logger.py new file mode 100644 index 0000000000..47e431c7be --- /dev/null +++ b/kedro/config/default_logger.py @@ -0,0 +1,41 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""This module facilitates the loading of the default ``kedro.config`` +for setting up the logging +""" + +import logging.config +import os + +import yaml + +CURRENT_DIR = os.path.dirname(__file__) + +with open(os.path.join(CURRENT_DIR, "logging.yml"), "rt") as conf_file: + LOGGING_CONFIG = yaml.safe_load(conf_file.read()) + logging.config.dictConfig(LOGGING_CONFIG) diff --git a/kedro/config/logging.yml b/kedro/config/logging.yml new file mode 100644 index 0000000000..c51bc0be17 --- /dev/null +++ b/kedro/config/logging.yml @@ -0,0 +1,42 @@ +version: 1 +disable_existing_loggers: False +formatters: + simple: + format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + +handlers: + console: + class: logging.StreamHandler + level: INFO + formatter: simple + stream: ext://sys.stdout + + info_file_handler: + class: logging.handlers.RotatingFileHandler + level: INFO + formatter: simple + filename: info.log + maxBytes: 10485760 # 10MB + backupCount: 20 + encoding: utf8 + delay: True + + error_file_handler: + class: logging.handlers.RotatingFileHandler + level: ERROR + formatter: simple + filename: errors.log + maxBytes: 10485760 # 10MB + backupCount: 20 + encoding: utf8 + delay: True + +loggers: + kedro.cli: + level: WARNING + handlers: [console] + propagate: no + +root: + level: INFO + handlers: [console, info_file_handler, error_file_handler] diff --git a/kedro/contrib/README.md b/kedro/contrib/README.md new file mode 100644 index 0000000000..074469d444 --- /dev/null +++ b/kedro/contrib/README.md @@ -0,0 +1,39 @@ +# Kedro contrib + +The contrib directory is meant to contain user contributions, these +contributions might get merged into core Kedro at some point in the future. + +When create a new module in `contrib`, place it exactly where it would be if it +was merged into core Kedro. + +For example, data sets are under the core package `kedro.io`. If you are +contributing a Data Set you should have the following directory: +`kedro/contrib/my_project/io/` - i.e., the name of your project before the +`kedro` package path. + +This is how a module would look like under `kedro/contrib`: +``` +kedro/contrib/my_project/io/ + my_module.py + README.md +``` + +You should put you test files in `tests/contrib/my_project`: +``` +tests/contrib/my_project + test_my_module.py +``` + +## Requirements + +If your project has any requirments that are not in the core `requirements.txt` +file. Please add them in `setup.py` like so: +``` +... +extras_require={ + 'my_project': ['requirement1==1.0.1', 'requirement2==2.0.1'], + }, +``` + +Please notice that a readme with instructions about how to use your module +and 100% test coverage are required to accept a PR. diff --git a/kedro/contrib/__init__.py b/kedro/contrib/__init__.py new file mode 100644 index 0000000000..6740dc1f9b --- /dev/null +++ b/kedro/contrib/__init__.py @@ -0,0 +1,30 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""kedro.contrib is the place for all contribution from third parties. +Some of this functionality might be include in the core package in the future. +""" diff --git a/kedro/contrib/colors/__init__.py b/kedro/contrib/colors/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/contrib/colors/logging/__init__.py b/kedro/contrib/colors/logging/__init__.py new file mode 100644 index 0000000000..9258696a83 --- /dev/null +++ b/kedro/contrib/colors/logging/__init__.py @@ -0,0 +1,33 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains a logging handler class which produces coloured logs. +""" + +from .color_logger import ColorHandler # NOQA diff --git a/kedro/contrib/colors/logging/color_logger.py b/kedro/contrib/colors/logging/color_logger.py new file mode 100644 index 0000000000..05fbd86518 --- /dev/null +++ b/kedro/contrib/colors/logging/color_logger.py @@ -0,0 +1,122 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""A logging handler class which produces coloured logs.""" + + +import logging + +import click + + +class ColorHandler(logging.StreamHandler): + """A color log handler. + + You can use this handler by incorporating the example below into your + logging configuration: + + ``conf/project/logging.yml``: + :: + + formatters: + simple: + format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + + handlers: + console: + class: kedro.contrib.colors.logging.ColorHandler + level: INFO + formatter: simple + stream: ext://sys.stdout + # defining colors is optional + colors: + debug: white + info: magenta + warning: yellow + + root: + level: INFO + handlers: [console] + + The ``colors`` parameter is optional, and you can use any ANSI color. + + * Black + * Red + * Green + * Yellow + * Blue + * Magenta + * Cyan + * White + + The default colors are: + + * debug: magenta + * info: cyan + * warning: yellow + * error: red + * critical: red + """ + + def __init__(self, stream=None, colors=None): + logging.StreamHandler.__init__(self, stream) + colors = colors or {} + self.colors = { + "critical": colors.get("critical", "red"), + "error": colors.get("error", "red"), + "warning": colors.get("warning", "yellow"), + "info": colors.get("info", "cyan"), + "debug": colors.get("debug", "magenta"), + } + + def _get_color(self, level): + if level >= logging.CRITICAL: + return self.colors["critical"] # pragma: no cover + if level >= logging.ERROR: + return self.colors["error"] # pragma: no cover + if level >= logging.WARNING: + return self.colors["warning"] # pragma: no cover + if level >= logging.INFO: + return self.colors["info"] + if level >= logging.DEBUG: # pragma: no cover + return self.colors["debug"] # pragma: no cover + + return None # pragma: no cover + + def format(self, record: str) -> str: + """The handler formatter. + + Args: + record: The record to format. + + Returns: + The record formatted as a string. + + """ + text = logging.StreamHandler.format(self, record) + color = self._get_color(record.levelno) + return click.style(text, color) diff --git a/kedro/contrib/decorators/__init__.py b/kedro/contrib/decorators/__init__.py new file mode 100644 index 0000000000..3c5035cd01 --- /dev/null +++ b/kedro/contrib/decorators/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains function decorators, which can be used as ``Node`` +decorators. See ``kedro.pipeline.node.decorate`` +""" + +from .decorators import pandas_to_spark, retry, spark_to_pandas # NOQA diff --git a/kedro/contrib/decorators/decorators.py b/kedro/contrib/decorators/decorators.py new file mode 100644 index 0000000000..4daceefb1b --- /dev/null +++ b/kedro/contrib/decorators/decorators.py @@ -0,0 +1,178 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains function decorators, which can be used as ``Node`` +decorators. See ``kedro.pipeline.node.decorate`` +""" +import logging +from functools import wraps +from time import sleep +from typing import Callable + +import pandas as pd +from pyspark.sql import SparkSession + + +def pandas_to_spark(spark: SparkSession) -> Callable: + """Inspects the decorated function's inputs and converts all pandas + DataFrame inputs to spark DataFrames. + + **Note** that in the example below we have enabled + ``spark.sql.execution.arrow.enabled``. For this to work, you should first + ``pip install pyarrow`` and add ``pyarrow`` to ``requirements.txt``. + Enabling this option makes the convertion between pyspark <-> DataFrames + **much faster**. + + Args: + spark: The spark session singleton object to use for the creation of + the pySpark DataFrames. A possible pattern you can use here is + the following: + + **spark.py** + :: + + >>> from pyspark.sql import SparkSession + >>> + >>> def get_spark(): + >>> return ( + >>> SparkSession.builder + >>> .master("local[*]") + >>> .appName("kedro") + >>> .config("spark.driver.memory", "4g") + >>> .config("spark.driver.maxResultSize", "3g") + >>> .config("spark.sql.execution.arrow.enabled", "true") + >>> .getOrCreate() + >>> ) + + **nodes.py** + :: + + >>> from spark import get_spark + >>> @pandas_to_spark(get_spark()) + >>> def node_1(data): + >>> data.show() # data is pyspark.sql.DataFrame + + Returns: + The original function with any pandas DF inputs translated to spark. + + """ + + def _to_spark(arg): + if isinstance(arg, pd.DataFrame): + return spark.createDataFrame(arg) + return arg + + def inputs_to_spark(node_func: Callable): + @wraps(node_func) + def _wrapper(*args, **kwargs): + return node_func( + *[_to_spark(arg) for arg in args], + **{key: _to_spark(value) for key, value in kwargs} + ) + + return _wrapper + + return inputs_to_spark + + +def spark_to_pandas() -> Callable: + """Inspects the decorated function's inputs and converts all pySpark + DataFrame inputs to pandas DataFrames. + + Returns: + The original function with any pySpark DF inputs translated to pandas. + + """ + + def _to_pandas(arg): + if "pyspark.sql.dataframe" in str(type(arg)): + return arg.toPandas() + return arg + + def inputs_to_pandas(node_func: Callable): + @wraps(node_func) + def _wrapper(*args, **kwargs): + return node_func( + *[_to_pandas(arg) for arg in args], + **{key: _to_pandas(value) for key, value in kwargs} + ) + + return _wrapper + + return inputs_to_pandas + + +def retry( + exceptions: Exception = Exception, n_times: int = 1, delay_sec: float = 0 +) -> Callable: + """ + Catches exceptions from the wrapped function at most n_times and then + bundles them and propagates them. + + **Make sure your function does not mutate the arguments** + + Args: + exceptions: The superclass of exceptions to catch. + By default catch all exceptions. + n_times: At most let the function fail n_times. The bundle the + errors and propagate them. By default retry only once. + delay_sec: Delay between failure and next retry in seconds + + Returns: + The original function with retry functionality. + + """ + + def _retry(func: Callable): + @wraps(func) + def _wrapper(*args, **kwargs): + counter = n_times + errors = [] + while counter >= 0: + try: + return func(*args, **kwargs) + # pylint: disable=broad-except + except exceptions as exc: + errors.append(exc) + if counter != 0: + sleep(delay_sec) + counter -= 1 + + if errors: + log = logging.getLogger(__name__) + log.error( + "Function `%s` failed %i times. Errors:\n", func.__name__, n_times + ) + log.error("\n".join([str(err) for err in errors])) + log.error("Raising last exception") + raise errors[-1] + + return _wrapper + + return _retry diff --git a/kedro/contrib/io/__init__.py b/kedro/contrib/io/__init__.py new file mode 100644 index 0000000000..6ce03bb74e --- /dev/null +++ b/kedro/contrib/io/__init__.py @@ -0,0 +1,33 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains functionality which we might consider moving into the +`kedro.io` module (e.g. additional ``AbstractDataSet``s and +extensions/alternative ``DataCatalog``s. +""" diff --git a/kedro/contrib/io/azure/__init__.py b/kedro/contrib/io/azure/__init__.py new file mode 100644 index 0000000000..4ec886b9ad --- /dev/null +++ b/kedro/contrib/io/azure/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``AbstractDataSet`` implementation for reading/writing data to Azure Blob +Storage +""" + + +from .csv_blob import CSVBlobDataSet # NOQA diff --git a/kedro/contrib/io/azure/csv_blob.py b/kedro/contrib/io/azure/csv_blob.py new file mode 100644 index 0000000000..2fdf168a51 --- /dev/null +++ b/kedro/contrib/io/azure/csv_blob.py @@ -0,0 +1,137 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" ``AbstractDataSet`` implementation to access CSV files directly from +Microsoft's Azure blob storage. +""" +import io +from typing import Any, Dict, Optional + +import pandas as pd +from azure.storage.blob import BlockBlobService + +from kedro.io import AbstractDataSet + + +class CSVBlobDataSet(AbstractDataSet): + """``CSVBlobDataSet`` loads and saves csv files in Microsoft's Azure + blob storage. It uses azure storage SDK to read and write in azure and + pandas to handle the csv file locally. + + Example: + :: + + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> + >>> data_set = CSVBlobDataSet(filepath="test.csv", + >>> bucket_name="test_bucket", + >>> load_args=None, + >>> save_args={"index": False}) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + container_name=self._container_name, + blob_to_text_args=self._blob_to_text_args, + blob_from_text_args=self._blob_from_text_args, + load_args=self._load_args, + save_args=self._save_args, + ) + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + container_name: str, + credentials: Dict[str, Any], + blob_to_text_args: Optional[Dict[str, Any]] = None, + blob_from_text_args: Optional[Dict[str, Any]] = None, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + ) -> None: + """Creates a new instance of ``CSVBlobDataSet`` pointing to a + concrete csv file on Azure blob storage. + + Args: + filepath: path to a azure blob of a csv file. + container_name: Azure container name. + credentials: Credentials (``account_name`` and + ``account_key`` or ``sas_token``)to access the azure blob + blob_to_text_args: Any additional arguments to pass to azure's + ``get_blob_to_text`` method: + https://docs.microsoft.com/en-us/python/api/azure.storage.blob.baseblobservice.baseblobservice?view=azure-python#get-blob-to-text + blob_from_text_args: Any additional arguments to pass to azure's + ``create_blob_from_text`` method: + https://docs.microsoft.com/en-us/python/api/azure.storage.blob.blockblobservice.blockblobservice?view=azure-python#create-blob-from-text + load_args: Pandas options for loading csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html + All defaults are preserved. + save_args: Pandas options for saving csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html + All defaults are preserved, but "index", which is set to False. + + """ + default_save_args = {"index": False} + self._save_args = ( + {**default_save_args, **save_args} if save_args else default_save_args + ) + self._load_args = load_args if load_args else {} + self._filepath = filepath + self._container_name = container_name + self._credentials = credentials if credentials else {} + self._blob_to_text_args = blob_to_text_args if blob_to_text_args else {} + self._blob_from_text_args = blob_from_text_args if blob_from_text_args else {} + + def _load(self) -> pd.DataFrame: + blob_service = BlockBlobService(**self._credentials) + blob = blob_service.get_blob_to_text( + container_name=self._container_name, + blob_name=self._filepath, + **self._blob_to_text_args + ) + csv_content = io.StringIO(blob.content) + return pd.read_csv(csv_content, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + blob_service = BlockBlobService(**self._credentials) + blob_service.create_blob_from_text( + container_name=self._container_name, + blob_name=self._filepath, + text=data.to_csv(**self._save_args), + **self._blob_from_text_args + ) diff --git a/kedro/contrib/io/bioinformatics/__init__.py b/kedro/contrib/io/bioinformatics/__init__.py new file mode 100644 index 0000000000..a8d8ef3b05 --- /dev/null +++ b/kedro/contrib/io/bioinformatics/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``AbstractDataSet`` implementation for reading/writing from/to a sequence +file. +""" + + +from .sequence_dataset import BioSequenceLocalDataSet # NOQA diff --git a/kedro/contrib/io/bioinformatics/sequence_dataset.py b/kedro/contrib/io/bioinformatics/sequence_dataset.py new file mode 100644 index 0000000000..f3baca33b9 --- /dev/null +++ b/kedro/contrib/io/bioinformatics/sequence_dataset.py @@ -0,0 +1,120 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""BioSequenceLocalDataSet loads and saves data to/from bio-sequence objects to +file. +""" +from os.path import isfile +from pathlib import Path +from typing import Any, Dict, List, Optional + +from Bio import SeqIO + +from kedro.io import AbstractDataSet, ExistsMixin + + +class BioSequenceLocalDataSet(AbstractDataSet, ExistsMixin): + """``BioSequenceLocalDataSet`` loads and saves data to a sequence file. + + Example: + :: + + >>> raw_sequence_list = [ + >>> '>gi|2765658|emb|Z78533.1|CIZ78533' + >>> 'C.irapeanum 5.8S rRNA gene and ITS1 and ITS2 DNA' + >>> 'CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGATGAGACCGTGGAATAAA' + >>> 'CGATCGAGTGAATCCGGAGGACCGGTGTACTCAGCTCACCGGGGGCATTGCTCCCGTGGT' + >>> 'GACCCTGATTTGTTGTTGGGCCGCCTCGGGAGCGTCCATGGCGGGTTTGAACCTCTAGCC' + >>> 'CGGCGCAGTTTGGGCGCCAAGCCATATGAAAGCATCACCGGCGAATGGCATTGTCTTCCC' + >>> 'CAAAACCCGGAGCGGCGGCGTGCTGTCGCGTGCCCAATGAATTTTGATGACTCTCGCAAA' + >>> 'CGGGAATCTTGGCTCTTTGCATCGGATGGAAGGACGCAGCGAAATGCGATAAGTGGTGTG' + >>> 'AATTGCAAGATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCGCCCGAGGCCATCA' + >>> 'GGCTAAGGGCACGCCTGCTTGGGCGTCGCGCTTCGTCTCTCTCCTGCCAATGCTTGCCCG' + >>> 'GCATACAGCCAGGCCGGCGTGGTGCGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCG' + >>> 'GCGGGTCCAAGAGCTGGTGTTTTGATGGCCCGGAACCCGGCAAGAGGTGGACGGATGCTG' + >>> 'GCAGCAGCTGCCGTGCGAATCCCCCATGTTGTCGTGCTTGTCGGACAGGCAGGAGAACCC' + >>> 'TTCCGAACCCCAATGGAGGGCGGTTGACCGCCATTCGGATGTGACCCCAGGTCAGGCGGG' + >>> 'GGCACCCGCTGAGTTTACGC'] + >>> data_set = BioSequenceLocalDataSet(filepath="ls_orchid.fasta", + >>> load_args={"format": "fasta"}, + >>> save_args={"format": "fasta"}) + >>> data_set.save(raw_sequence_list) + >>> sequence_list = data_set.load() + >>> assert raw_sequence_list.equals(sequence_list) + + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + ) + + def __init__( + self, + filepath: str, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + ) -> None: + """ + Creates a new instance of ``BioSequenceLocalDataSet`` pointing + to a concrete filepath. + + Args: + filepath: path to sequence file + load_args: Options for loading sequence files. Here you can find + all supported file formats: https://biopython.org/wiki/SeqIO + save_args: args supported by Biopython are 'handle' and 'format'. + Handle by default is equal to ``filepath``. + + """ + self._filepath = filepath + default_load_args = {} + default_save_args = {} + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + + def _load(self) -> List: + return list(SeqIO.parse(self._filepath, **self._load_args)) + + def _save(self, data: list) -> None: + save_path = Path(self._filepath) + save_path.parent.mkdir(parents=True, exist_ok=True) + SeqIO.write(data, handle=str(save_path), **self._save_args) + + def _exists(self) -> bool: + return isfile(self._filepath) diff --git a/kedro/contrib/io/catalog_with_default/README.md b/kedro/contrib/io/catalog_with_default/README.md new file mode 100644 index 0000000000..967ad8e350 --- /dev/null +++ b/kedro/contrib/io/catalog_with_default/README.md @@ -0,0 +1,39 @@ +# `DataCatalogWithDefault` class + +`DataCatalogWithDefault` is a `DataCatalog` that will fall back to a default `AbstractDataSet` implementation if the requested key in not already registered in the catalog. +Handy **during development** when you are working with many `DataSet`s which all originate from a source, and you don't want to create a huge `DataCatalog`. + +Now, it is possible to do the following: + +```python +from kedro.contrib.io.catalog_with_default import DataCatalogWithDefault +from kedro.io import ParquetLocalDataSet +from kedro.pipeline import Pipeline, node +from kedro.runner import SequentialRunner + +def default_io(name): + return ParquetLocalDataSet(name) + +catalog = DataCatalogWithDefault({}, + default=default_io, + default_prefix='data/') + +def my_node(input): + return None + +pipeline = Pipeline([ + node(my_node, 'input1', 'output1') + ]) + +SequentialRunner().run(pipeline, catalog) +``` + +This will load `parquet` files from the `data/` local directory, without having to prepopulate your data catalog with anything. + +Less safe during production, very handy during development. + + +### Motivation and Context + +Very useful during development, saves a lot of time. Usually most datasets in a pipeline come from a single-source. + diff --git a/kedro/contrib/io/catalog_with_default/__init__.py b/kedro/contrib/io/catalog_with_default/__init__.py new file mode 100644 index 0000000000..54704af260 --- /dev/null +++ b/kedro/contrib/io/catalog_with_default/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``DataCatalogWithDefault`` is a ``DataCatalog`` that will fall back to a +default ``AbstractDataSet`` implementation if the requested key in not already +registered in the catalog. +""" + +from .data_catalog_with_default import DataCatalogWithDefault # NOQA diff --git a/kedro/contrib/io/catalog_with_default/data_catalog_with_default.py b/kedro/contrib/io/catalog_with_default/data_catalog_with_default.py new file mode 100644 index 0000000000..90ec58b9f6 --- /dev/null +++ b/kedro/contrib/io/catalog_with_default/data_catalog_with_default.py @@ -0,0 +1,200 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""A ``DataCatalog`` with a default ``DataSet`` implementation for any data set +which is not registered in the catalog. +""" +from typing import Any, Callable, Dict, Optional + +from kedro.io import AbstractDataSet, DataCatalog + + +class DataCatalogWithDefault(DataCatalog): + """A ``DataCatalog`` with a default ``DataSet`` implementation for any + data set which is not registered in the catalog. + """ + + def __init__( + self, + data_sets: Dict[str, AbstractDataSet] = None, + default: Callable[[str], AbstractDataSet] = None, + remember: bool = False, + ): + """A ``DataCatalog`` with a default ``DataSet`` implementation for any + data set which is not registered in the catalog. + + Args: + data_sets: A dictionary of data set names and data set instances. + default: A callable which accepts a single argument of type string, + the key of the data set, and returns an ``AbstractDataSet``. + ``load`` and ``save`` calls on data sets which are not + registered to the catalog will be delegated to this + ``AbstractDataSet``. + remember: If True, then store in the catalog any + ``AbstractDataSet``s provided by the ``default`` callable + argument. Useful when one want to transition from a + ``DataCatalogWithDefault`` to a ``DataCatalog``: just call + ``DataCatalogWithDefault.to_yaml``, after all required data + sets have been saved/loaded, and use the generated YAML file + with a new ``DataCatalog``. + Raises: + TypeError: If default is not a callable. + + Example: + :: + + >>> from kedro.io import CSVLocalDataSet + >>> + >>> def default_data_set(name): + >>> return CSVLocalDataSet(filepath='data/01_raw/' + name) + >>> + >>> io = DataCatalog(data_sets={}, + >>> default=default_data_set) + >>> + >>> # load the file in data/raw/cars.csv + >>> df = io.load("cars.csv") + """ + super().__init__(data_sets) + + if not callable(default): + raise TypeError( + "Default must be a callable with a single input " + "string argument: the key of the requested data " + "set." + ) + self._default = default + self._remember = remember + + def load(self, name: str) -> Any: + """Loads a registered data set + + Args: + name: A data set to be loaded. + + Returns: + The loaded data as configured. + + Raises: + DataSetNotFoundError: When a data set with the given name + has not yet been registered. + + """ + data_set = self._data_sets.get(name, self._default(name)) + + if self._remember and name not in self._data_sets: + self._data_sets[name] = data_set + + return data_set.load() + + def save(self, name: str, data: Any): + """Save data to a registered data set. + + Args: + name: A data set to be saved to. + data: A data object to be saved as configured in the registered + data set. + + Raises: + DataSetNotFoundError: When a data set with the given name + has not yet been registered. + + """ + data_set = self._data_sets.get(name, self._default(name)) + + if self._remember and name not in self._data_sets: + self._data_sets[name] = data_set + + data_set.save(data) + + @classmethod + def from_config( + cls, + catalog: Optional[Dict[str, Dict[str, Any]]], + credentials: Dict[str, Dict[str, Any]] = None, + load_versions: Dict[str, str] = None, + save_version: str = None, + ): + """To create a ``DataCatalogWithDefault`` from configuration, please + use: + :: + + >>> DataCatalogWithDefault.from_data_catalog( + >>> DataCatalog.from_config(catalog, credentials)) + + Args: + catalog: See ``DataCatalog.from_config`` + credentials: See ``DataCatalog.from_config`` + load_versions: See ``DataCatalog.from_config`` + save_version: See ``DataCatalog.from_config`` + + Raises: + ValueError: If you try to instantiate a ``DataCatalogWithDefault`` + directly with this method. + + """ + raise ValueError( + "Cannot instantiate a `DataCatalogWithDefault` " + "directly from configuration files. Please use" + "``DataCatalogWithDefault.from_data_catalog(" + "DataCatalog.from_config(catalog, " + "credentials))" + ) + + @classmethod + def from_data_catalog( + cls, data_catalog: DataCatalog, default: Callable[[str], AbstractDataSet] + ) -> "DataCatalogWithDefault": + """Convenience factory method to create a ``DataCatalogWithDefault`` + from a ``DataCatalog`` + + A ``DataCatalog`` with a default ``DataSet`` implementation for any + data set which is not registered in the catalog. + + Args: + data_catalog: The ``DataCatalog`` to convert to a + ``DataCatalogWithDefault``. + default: A callable which accepts a single argument of type string, + the key of the data set, and returns an ``AbstractDataSet``. + ``load`` and ``save`` calls on data sets which are not + registered to the catalog will be delegated to this + ``AbstractDataSet``. + + Returns: + A new ``DataCatalogWithDefault`` which contains all the + ``AbstractDataSets`` from the provided data-catalog. + + """ + # pylint: disable=protected-access + return cls({**data_catalog._data_sets}, default) + + def shallow_copy(self) -> "DataCatalogWithDefault": # pragma: no cover + """Returns a shallow copy of the current object. + Returns: + Copy of the current object. + """ + return DataCatalogWithDefault({**self._data_sets}, self._default) diff --git a/kedro/contrib/io/pyspark/README.md b/kedro/contrib/io/pyspark/README.md new file mode 100644 index 0000000000..524ef6c1a4 --- /dev/null +++ b/kedro/contrib/io/pyspark/README.md @@ -0,0 +1,270 @@ +# PySpark + +In this tutorial we talk about how Kedro integrates with `pyspark` using the `SparkDataSet`. + +We also present brief instructions on how to set-up pyspark to read from `AWS S3` and `Azure Blob storage`. + +Relevant API: +[SparkDataSet](https://kedro.readthedocs.io/en/latest/kedro.contrib.io.pyspark.html) + + +## Install spark + +There are two ways of installing pyspark. The first one is to create a python virtual environment and do `pip install pyspark` in there. Doing so allows you to have an isolated installation which you can easily experiment with, +in the expense of having a proper, fully configurable Spark installation (see below). + +If you would like to have full control over Spark's configuration, and you plan on using (scala or python) Spark long-term, we suggest you perform the following steps: + +- Download the latest version of Spark from [hear](https://spark.apache.org/downloads.html) +- Extract your download in an appropriate location. If you are on linux, a good candidate is `/opt` +- If you extracted spark in `/opt/spark-2.3.0-bin-hadoop2.7`, maybe create a symlink: `ln -s /opt/spark-2.3.0-bin-hadoop2.7 /opt/spark` +- Set the following environment variables: +```bash +export SPARK_HOME=/opt/spark +export PATH=${SPARK_HOME}/bin:${PATH} +export PYTHONPATH=${SPARK_HOME}/python:${SPARK_HOME}/python/lib/py4j-0.10.6-src.zip +# change appropriately: +# export PYSPARK_PYTHON=/change/to/appropriate/python/path/bin/python +``` + +> If you have multiple installations of pyspark (eg. a manual one and one after doing `pip install pyspark`), make sure that your python path is appropriately set to first look to your installation of choice. Keep in mind that python will look into multiple places according to the `sys.path` variable, including your virtual environment and the `PYTHONPATH` environment variable. + +- Then you can set system-wide spark configuration in `/opt/spark/conf/...` + +## Initialise spark + +To use pyspark, you should use either the [`findspark` package](https://github.com/minrk/findspark) (install using `pip install findspark`), or add `pyspark` to your python path manually, making also sure to set all appropriate environment variables. Have a look at [this file](https://github.com/minrk/findspark/blob/master/findspark.py) for details. +Then, you can initialise `pyspark` as follows: + + +```python +# uncomment the following two lines if you did not +# install pyspark using `pip install pyspark` + +# import findspark +# findspark.init() + +from pyspark.sql import SparkSession +spark = SparkSession.builder\ + .master("local[*]") \ + .appName("kedro") \ + .getOrCreate() +``` + +## SparkDataSet + +Loading and saving spark `DataFrame`s using Kedro can be easily done using the [`SparkDataSet`](https://kedro.readthedocs.io/en/latest/kedro.contrib.io.pyspark.html) class, as shown below: + +### Load a csv from your local disk + +```python +from kedro.contrib.io.pyspark import SparkDataSet + +csv = SparkDataSet('../data/01_raw/2015_points_old.csv', + file_format='csv', + load_args={'header': True}) + +df = csv.load() \ + .limit(3) \ + .select(['name', 'point_1', 'point_2']) + +df.show() +``` + +### Save it as parquet to your local disk + +```python +parquet = SparkDataSet('../data/01_raw/2015_points_old_parquet', + file_format='parquet', + save_args={'mode': 'overwrite', + 'compression': 'none'}) +parquet.save(df) +``` + +## Using SparkDataSet with the DataCatalog + +Since `SparkDataSet` is a concrete implementation of [`AbstractDataSet`](https://kedro.readthedocs.io/en/latest/kedro.io.AbstractDataSet.html), it integrates nicely with the `DataCatalog` and with Kedro's pipelines. + +Similarly to all other datasets, you can specify your spark datasets in `catalog.yml` as follows: + +#### catalog.yml: + +```yaml +sensor_data: + type: kedro.contrib.io.pyspark.SparkDataSet + path: data/01_raw/sensors_raw + file_format: parquet + load_args: + header: Yes + save_args: + mode: overwrite +``` + + +Then, as previously mentioned you can use this data set as follows: + +```python +from kedro.config import load_config +from kedro.io import DataCatalog + +conf = load_config('path/to/conf') +catalog = DataCatalog.from_config(conf['catalog']) + +df = catalog.load('sensor_data') #df is a pyspark.sql.DataFrame +``` + +## Using `SparkDataSet` with AWS S3 +### Setting-up spark for AWS + +At the time of this writing, the most recent configuration between AWS and Spark known to work well is as follows: + +* Spark 2.3.0 +* hadoop-aws-2.7.5 + +The simplest approach is to download Spark in the /opt directory, extract it, create a symlink /opt/spark pointing to it, and then use `spark-shell` or `spark-submit` with the `--packages` option. +You will also have to exclude the joda-time package, as there are conflicting dependencies: + +In linux: +```bash +cd /opt +wget http://apache.mirror.anlx.net/spark/spark-2.3.0/spark-2.3.0-bin-hadoop2.7.tgz +tar xzf spark-2.3.0-bin-hadoop2.7.tgz +rm spark-2.3.0-bin-hadoop2.7.tgz +ln -s spark-2.3.0-bin-hadoop2.7 spark +cd spark/bin +spark-shell --packages 'org.apache.hadoop:hadoop-aws:2.7.5' --exclude-packages 'joda-time:joda-time' +``` + +Don't forget export in your `~/.bashrc`/`~/bash_profile`/`~/.zshrc` or any other initialisation script Spark's environment variables: +```bash +export SPARK_HOME=/opt/spark +export PATH=${SPARK_HOME}/bin:${PATH} +export PYTHONPATH=${SPARK_HOME}/python:${SPARK_HOME}/python/lib/py4j-0.10.6-src.zip +# change appropriately: +# export PYSPARK_PYTHON=/change/to/appropriate/python/path/bin/python +``` + + +### Configuring Kedro with AWS + + +> Note: If your server is preconfigured to access S3 without the need for credentials (e.g. by storing the credentials in the `.aws` directory), you may skip this step. + + +First, within your kedro project, navigate to the file `conf/local/credentials.yml`, and place in it the following: + +**IMPORTANT:** Credentials should be placed in the `conf/local` directory. This directory is automatically `.gitignored`. As already mentioned earlier, sensitive information **should never** be placed in the `conf/project` directory. + +#### conf/local/credentials.yml +```yaml +aws: + aws_access_key_id: your_access_key + aws_secret_access_key: here_goes_your_secret_key_which_you_should_never_commit_to_git +``` + +Now, during initialisation of the `SparkSession`, configure your `aws` credentials as shown below: + +```python +from kedro.config import load_config +from pyspark.sql import SparkSession +from pyspark import SparkContext + +conf = load_config('path/to/conf') + +aws_access_key_id = conf['credentials']['aws']['aws_access_key_id'] +aws_secret_access_key = conf['credentials']['aws']['aws_secret_access_key'] + +spark = SparkSession.builder\ + .master("local[*]") \ + .appName("kedro") \ + .config("fs.s3a.access.key", aws_access_key_id) \ + .config("fs.s3a.secret.key", aws_secret_access_key) \ + .getOrCreate() +``` + +You should now be able to read data from `aws s3`, using hadoop's `s3a` file system. +Example: + +```python +from kedro.contrib.io.pyspark import SparkDataSet + +bucket_name = 'your-bucket-name' +filepath = 's3a://' + bucket_name + '/dir_with_parquet_files' +aws_parquet = SparkDataSet(filepath, file_format='parquet') +aws_parquet.load() +``` + +## Using `SparkDataSet` with Azure Blob Storage + +### Setting-up spark for Azure + +At the time of this writing, the most recent configuration between Azure and Spark known to work well is as follows: + +* Spark 2.3.0 +* org.apache.hadoop:hadoop-azure:2.7.5 +* com.microsoft.azure:azure-storage:2.2.0 + +The simplest approach is to download Spark in the /opt directory, extract it, create a symlink /opt/spark pointing to it, and then use `spark-shell` or `spark-submit` with the `--packages` option. +In linux: +```bash +cd /opt +wget http://apache.mirror.anlx.net/spark/spark-2.3.0/spark-2.3.0-bin-hadoop2.7.tgz +tar xzf spark-2.3.0-bin-hadoop2.7.tgz +rm spark-2.3.0-bin-hadoop2.7.tgz +ln -s spark-2.3.0-bin-hadoop2.7 spark +cd spark/bin +spark-shell --packages 'org.apache.hadoop:hadoop-azure:2.7.5,com.microsoft.azure:azure-storage:2.2.0' +``` + +Don't forget export in your `~/.bashrc`/`~/bash_profile`/`~/.zshrc` or any other initialisation script Spark's environment variables: +```bash +export SPARK_HOME=/opt/spark +export PATH=${SPARK_HOME}/bin:${PATH} +export PYTHONPATH=${SPARK_HOME}/python:${SPARK_HOME}/python/lib/py4j-0.10.6-src.zip +# change appropriately: +# export PYSPARK_PYTHON=/change/to/appropriate/python/path/bin/python +``` + + +### Configuring Kedro with Azure + +First, within your kedro project, navigate to the file `conf/local/credentials.yml`, and place in it the following: + +**IMPORTANT:** Credentials should be placed in the `conf/local` directory. This directory is automatically `.gitignored`. As already mentioned earlier, sensitive information **should never** be placed in the `conf/project` directory. + +#### conf/local/credentials.yml +```yaml +azure: + account_name: your_account_name + access_key: here_goes_your_long_private_key_which_you_should_never_commit_to_git +``` + +Now, during initialisation of the `SparkSession`, configure your `azure` credentials as shown below: + +```python +from kedro.config import load_config +from pyspark.sql import SparkSession + +conf = load_config('path/to/conf') + +account_name = conf['credentials']['azure']['account_name'] +access_key = conf['credentials']['azure']['access_key'] + +spark = SparkSession.builder\ + .master("local[*]") \ + .appName("kedro") \ + .config('fs.azure.account.key.' + account_name + '.blob.core.windows.net', access_key) \ + .getOrCreate() +``` + +You should now be able to read data from `azure blob storage`, using hadoop's `awsbs` file system. +Example: + +```python +from kedro.contrib.io.pyspark import SparkDataSet + +bucket_name = 'your-bucket-name' +filepath = 'wasbs://' + bucket_name + '@' + account_name + '.blob.core.windows.net/dir_with_parquet_files' +azure_parquet = SparkDataSet(filepath, file_format='parquet') +azure_parquet.load() +``` diff --git a/kedro/contrib/io/pyspark/__init__.py b/kedro/contrib/io/pyspark/__init__.py new file mode 100644 index 0000000000..c78b942cc6 --- /dev/null +++ b/kedro/contrib/io/pyspark/__init__.py @@ -0,0 +1,31 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""kedro.contrib.io.pyspark provides I/O modules for Apache Spark.""" + +from .spark_data_set import SparkDataSet # NOQA +from .spark_jdbc import SparkJDBCDataSet # NOQA diff --git a/kedro/contrib/io/pyspark/spark_data_set.py b/kedro/contrib/io/pyspark/spark_data_set.py new file mode 100644 index 0000000000..cab1e44f0c --- /dev/null +++ b/kedro/contrib/io/pyspark/spark_data_set.py @@ -0,0 +1,134 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``AbstractDataSet`` implementation to access Spark data frames using +``pyspark`` +""" + +import pickle +from typing import Any, Dict, Optional + +from pyspark.sql import DataFrame, SparkSession +from pyspark.sql.utils import AnalysisException + +from kedro.io import AbstractDataSet, ExistsMixin + + +class SparkDataSet(AbstractDataSet, ExistsMixin): + """``SparkDataSet`` loads and saves Spark data frames. + + Example: + :: + + >>> from pyspark.sql import SparkSession + >>> from pyspark.sql.types import (StructField, StringType, + >>> IntegerType, StructType) + >>> + >>> from kedro.contrib.io.pyspark import SparkDataSet + >>> + >>> schema = StructType([StructField("name", StringType(), True), + >>> StructField("age", IntegerType(), True)]) + >>> + >>> data = [('Alex', 31), ('Bob', 12), ('Clarke', 65), ('Dave', 29)] + >>> + >>> spark_df = SparkSession.builder.getOrCreate()\ + >>> .createDataFrame(data, schema) + >>> + >>> data_set = SparkDataSet(filepath="test_data") + >>> data_set.save(spark_df) + >>> reloaded = data_set.load() + >>> + >>> reloaded.take(4) + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + file_format=self._file_format, + load_args=self._load_args, + save_args=self._save_args, + ) + + def __init__( + self, + filepath: str, + file_format: str = "parquet", + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + ) -> None: + """Creates a new instance of ``SparkDataSet``. + + Args: + filepath: path to a Spark data frame. + file_format: file format used during load and save + operations. These are formats supported by the running + SparkContext include parquet, csv. For a list of supported + formats please refer to Apache Spark documentation at + https://spark.apache.org/docs/latest/sql-programming-guide.html + load_args: Load args passed to Spark DataFrameReader load method. + It is dependent on the selected file format. You can find + a list of read options for each supported format + in Spark DataFrame read documentation: + https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame + save_args: Save args passed to Spark DataFrame write options. + Similar to load_args this is dependent on the selected file + format. You can pass ``mode`` and ``partitionBy`` to specify + your overwrite mode and partitioning respectively. You can find + a list of options for each format in Spark DataFrame + write documentation: + https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrame + """ + + self._filepath = filepath + self._file_format = file_format + self._load_args = load_args if load_args is not None else {} + self._save_args = save_args if save_args is not None else {} + + @staticmethod + def _get_spark(): + return SparkSession.builder.getOrCreate() + + def _load(self) -> DataFrame: + return self._get_spark().read.load( + self._filepath, self._file_format, **self._load_args + ) + + def _save(self, data: DataFrame) -> None: + data.write.save(self._filepath, self._file_format, **self._save_args) + + def _exists(self) -> bool: + try: + self._get_spark().read.load(self._filepath, self._file_format) + except AnalysisException as exception: + if exception.desc.startswith("Path does not exist:"): + return False + raise + return True + + def __getstate__(self): + raise pickle.PicklingError("PySpark datasets can't be serialized") diff --git a/kedro/contrib/io/pyspark/spark_jdbc.py b/kedro/contrib/io/pyspark/spark_jdbc.py new file mode 100644 index 0000000000..a087fd3982 --- /dev/null +++ b/kedro/contrib/io/pyspark/spark_jdbc.py @@ -0,0 +1,164 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""SparkJDBCDataSet to load and save a PySpark DataFrame via JDBC.""" +import pickle +from typing import Any, Dict, Optional + +from pyspark.sql import DataFrame, SparkSession + +from kedro.io import AbstractDataSet, DataSetError + +__all__ = ["SparkJDBCDataSet"] + + +class SparkJDBCDataSet(AbstractDataSet): + """``SparkJDBCDataSet`` loads data from a database table accessible + via JDBC URL url and connection properties and saves the content of + a PySpark DataFrame to an external database table via JDBC. It uses + ``pyspark.sql.DataFrameReader`` and ``pyspark.sql.DataFrameWriter`` + internally, so it supports all allowed PySpark options on ``jdbc``. + + + Example: + :: + + >>> import pandas as pd + >>> + >>> from pyspark.sql import SparkSession + >>> + >>> spark = SparkSession.builder.getOrCreate() + >>> data = spark.createDataFrame(pd.DataFrame({'col1': [1, 2], + >>> 'col2': [4, 5], + >>> 'col3': [5, 6]})) + >>> url = 'jdbc:postgresql://localhost/test' + >>> table = 'table_a' + >>> connection_properties = {'driver': 'org.postgresql.Driver'} + >>> data_set = SparkJDBCDataSet( + >>> url=url, table=table, credentials={'user': 'scott', + >>> 'password': 'tiger'}, + >>> load_args={'properties': connection_properties}, + >>> save_args={'properties': connection_properties}) + >>> + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.toPandas().equals(reloaded.toPandas()) + + """ + + def _describe(self) -> Dict[str, Any]: + load_args = self._load_args + save_args = self._save_args + + # Remove user and password values from load and save properties. + if "properties" in load_args: + load_properties = load_args["properties"].copy() + load_properties.pop("user", None) + load_properties.pop("password", None) + load_args = {**load_args, "properties": load_properties} + if "properties" in save_args: + save_properties = save_args["properties"].copy() + save_properties.pop("user", None) + save_properties.pop("password", None) + save_args = {**save_args, "properties": save_properties} + + return dict( + url=self._url, table=self._table, load_args=load_args, save_args=save_args + ) + + # pylint: disable=too-many-arguments + def __init__( + self, + url: str, + table: str, + credentials: Optional[Dict[str, Any]] = None, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + ) -> None: + """Creates a new ``SparkJDBCDataSet``. + + Args: + url: A JDBC URL of the form ``jdbc:subprotocol:subname``. + table: The name of the table to load or save data to. + credentials: A dictionary of JDBC database connection arguments. + Normally at least properties ``user`` and ``password`` with + their corresponding values. It updates ``properties`` + parameter in ``load_args`` and ``save_args`` in case it is + provided. + load_args: Provided to underlying PySpark ``jdbc`` function along + with the JDBC URL and the name of the table. To find all + supported arguments, see here: + https://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=jdbc#pyspark.sql.DataFrameReader.jdbc + save_args: Provided to underlying PySpark ``jdbc`` function along + with the JDBC URL and the name of the table. To find all + supported arguments, see here: + https://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=jdbc#pyspark.sql.DataFrameWriter.jdbc + + Raises: + DataSetError: When either ``url`` or ``table`` is empty. + + """ + + if not url: + raise DataSetError( + "`url` argument cannot be empty. Please " + "provide a JDBC URL of the form " + "``jdbc:subprotocol:subname``." + ) + + if not table: + raise DataSetError( + "`table` argument cannot be empty. Please " + "provide the name of the table to load or save " + "data to." + ) + + self._url = url + self._table = table + self._load_args = load_args if load_args is not None else {} + self._save_args = save_args if save_args is not None else {} + + # Update properties in load_args and save_args with credentials. + if credentials is not None: + load_properties = self._load_args.get("properties", {}) + save_properties = self._save_args.get("properties", {}) + self._load_args["properties"] = {**load_properties, **credentials} + self._save_args["properties"] = {**save_properties, **credentials} + + @staticmethod + def _get_spark(): + return SparkSession.builder.getOrCreate() + + def _load(self) -> DataFrame: + return self._get_spark().read.jdbc(self._url, self._table, **self._load_args) + + def _save(self, data: DataFrame) -> None: + return data.write.jdbc(self._url, self._table, **self._save_args) + + def __getstate__(self): + raise pickle.PicklingError("PySpark datasets can't be serialized") diff --git a/kedro/io/__init__.py b/kedro/io/__init__.py new file mode 100644 index 0000000000..a426a63748 --- /dev/null +++ b/kedro/io/__init__.py @@ -0,0 +1,55 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``kedro.io`` provides functionality to read and write to a +number of data sets. At core of the library is ``AbstractDataSet`` +which allows implementation of various ``AbstractDataSet``s. +""" + +from .core import AbstractDataSet # NOQA +from .core import DataSetAlreadyExistsError # NOQA +from .core import DataSetError # NOQA +from .core import DataSetNotFoundError # NOQA +from .core import ExistsMixin # NOQA +from .core import FilepathVersionMixIn # NOQA +from .core import S3PathVersionMixIn # NOQA +from .core import Version # NOQA +from .csv_local import CSVLocalDataSet # NOQA +from .csv_s3 import CSVS3DataSet # NOQA +from .data_catalog import DataCatalog # NOQA +from .excel_local import ExcelLocalDataSet # NOQA +from .hdf_local import HDFLocalDataSet # NOQA +from .json_local import JSONLocalDataSet # NOQA +from .lambda_data_set import LambdaDataSet # NOQA +from .memory_data_set import MemoryDataSet # NOQA +from .parquet_local import ParquetLocalDataSet # NOQA +from .pickle_local import PickleLocalDataSet # NOQA +from .pickle_s3 import PickleS3DataSet # NOQA +from .sql import SQLQueryDataSet # NOQA +from .sql import SQLTableDataSet # NOQA +from .text_local import TextLocalDataSet # NOQA diff --git a/kedro/io/core.py b/kedro/io/core.py new file mode 100644 index 0000000000..59a355b5be --- /dev/null +++ b/kedro/io/core.py @@ -0,0 +1,450 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module provides a set of classes which underpin the data loading and +saving functionality provided by ``kedro.io``. +""" + +import abc +import copy +import logging +from collections import namedtuple +from datetime import datetime, timezone +from glob import iglob +from pathlib import Path, PurePosixPath +from typing import Any, Dict, Type +from warnings import warn + +from kedro.utils import load_obj + +MAX_DESCRIPTION_LENGTH = 70 +VERSIONED_FLAG_KEY = "versioned" +VERSION_KEY = "version" + + +class DataSetError(Exception): + """``DataSetError`` raised by ``AbstractDataSet`` implementations + in case of failure of input/output methods. + + ``AbstractDataSet`` implementations should provide instructive + information in case of failure. + """ + + pass + + +class DataSetNotFoundError(DataSetError): + """``DataSetNotFoundError`` raised by ``DataCatalog`` class in case of + trying to use a non-existing data set. + """ + + pass + + +class DataSetAlreadyExistsError(DataSetError): + """``DataSetAlreadyExistsError`` raised by ``DataCatalog`` class in case + of trying to add a data set which already exists in the ``DataCatalog``. + """ + + pass + + +class AbstractDataSet(abc.ABC): + """``AbstractDataSet`` is the base class for all data set implementations. + All data set implementations should extend this abstract class + and implement the methods marked as abstract. + + Example: + :: + + >>> from kedro.io import AbstractDataSet + >>> import pandas as pd + >>> + >>> class MyOwnDataSet(AbstractDataSet): + >>> def __init__(self, param1, param2): + >>> self._param1 = param1 + >>> self._param2 = param2 + >>> + >>> def _load(self) -> pd.DataFrame: + >>> print("Dummy load: {}".format(self._param1)) + >>> return pd.DataFrame() + >>> + >>> def _save(self, df: pd.DataFrame) -> None: + >>> print("Dummy save: {}".format(self._param2)) + >>> + >>> def _describe(self): + >>> return dict(param1=self._param1, param2=self._param2) + """ + + @classmethod + def from_config( + cls: Type, + name: str, + config: Dict[str, Any], + load_version: str = None, + save_version: str = None, + ) -> "AbstractDataSet": + """Create a data set instance using the configuration provided. + + Args: + name: Data set name. + config: Data set config dictionary. + load_version: Version string to be used for ``load`` operation if + the data set is versioned. Has no effect on the data set + if versioning was not enabled. + save_version: Version string to be used for ``save`` operation if + the data set is versioned. Has no effect on the data set + if versioning was not enabled. + + Returns: + An instance of an ``AbstractDataSet`` subclass. + + Raises: + DataSetError: When the function fails to create the data set + from its config. + + """ + config = copy.deepcopy(config) + save_version = save_version or generate_current_version() + + if VERSION_KEY in config: + # remove "version" key so that it's not passed + # to the 'unversioned' data set constructor + message = ( + "`%s` attribute removed from `%s` data set " + "configuration since it is a reserved word and cannot " + "be directly specified", + VERSION_KEY, + name, + ) + logging.getLogger(__name__).warning(*message) + del config[VERSION_KEY] + if config.pop(VERSIONED_FLAG_KEY, False): # data set is versioned + config[VERSION_KEY] = Version(load_version, save_version) + + dataset_class_path = config.pop("type") + try: + class_obj = load_obj(dataset_class_path, "kedro.io") + except ImportError: + raise DataSetError( + "Cannot import module when trying to load type " + "`{}` for DataSet `{}`.".format(dataset_class_path, name) + ) + except AttributeError: + raise DataSetError( + "Class `{}` for DataSet `{}` not found.".format( + dataset_class_path, name + ) + ) + + if not issubclass(class_obj, AbstractDataSet): + raise DataSetError( + "DataSet '{}' type `{}.{}` is invalid: " + "all data set types must extend " + "`AbstractDataSet`.".format( + name, class_obj.__module__, class_obj.__qualname__ + ) + ) + try: + data_set = class_obj(**config) + except TypeError as err: + raise DataSetError( + "\n{}.\nDataSet '{}' must only contain " + "arguments valid for the constructor " + "of `{}.{}`.".format( + str(err), name, class_obj.__module__, class_obj.__qualname__ + ) + ) + except Exception as err: + raise DataSetError( + "\n{}.\nFailed to instantiate DataSet " + "'{}' of type `{}.{}`.".format( + str(err), name, class_obj.__module__, class_obj.__qualname__ + ) + ) + return data_set + + def load(self) -> Any: + """Loads data by delegation to the provided load method. + + Returns: + Data returned by the provided load method. + + Raises: + DataSetError: When underlying load method raises error. + + """ + + try: + logging.getLogger(__name__).debug("Loading %s", str(self)) + return self._load() + except DataSetError: + raise + except Exception as exc: + # This exception handling is by design as the composed data sets + # can throw any type of exception. + message = "Failed while loading data from data set {}.\n{}".format( + str(self), str(exc) + ) + raise DataSetError(message) from exc + + def save(self, data: Any) -> None: + """Saves data by delegation to the provided save method. + + Args: + data: the value to be saved by provided save method. + + Raises: + DataSetError: when underlying save method raises error. + + """ + + if data is None: + raise DataSetError("Saving `None` to a `DataSet` is not allowed") + + try: + logging.getLogger(__name__).debug("Saving %s", str(self)) + self._save(data) + except DataSetError: + raise + except Exception as exc: + message = "Failed while saving data to data set {}.\n{}".format( + str(self), str(exc) + ) + raise DataSetError(message) from exc + + def __str__(self): + def _to_str(obj, is_root=False): + """Returns a string representation where + 1. The root level (i.e. the DataSet.__init__ arguments) are + formatted like DataSet(key=value). + 2. Dictionaries have the keys alphabetically sorted recursively. + 3. Empty dictionaries and None values are not shown. + 4. String representations of dictionary values are + capped to MAX_DESCRIPTION_LENGTH. + """ + + fmt = "{}={}" if is_root else "'{}': {}" # 1 + + if isinstance(obj, dict): + sorted_dict = sorted(obj.items(), key=lambda pair: str(pair[0])) # 2 + + text = ", ".join( + fmt.format(key, _to_str(value)) # 2 + for key, value in sorted_dict + if value or isinstance(value, bool) + ) # 3 + + return text if is_root else "{" + text + "}" # 1 + + # not a dictionary + value = str(obj) + suffix = "" if len(value) <= MAX_DESCRIPTION_LENGTH else "..." + return value[:MAX_DESCRIPTION_LENGTH] + suffix # 4 + + return "{}({})".format(type(self).__name__, _to_str(self._describe(), True)) + + @abc.abstractmethod + def _load(self) -> Any: + raise NotImplementedError( + "`{}` is a subclass of AbstractDataSet and" + "it must implement the `_load` method".format(self.__class__.__name__) + ) + + @abc.abstractmethod + def _save(self, data: Any) -> None: + raise NotImplementedError( + "`{}` is a subclass of AbstractDataSet and" + "it must implement the `_save` method".format(self.__class__.__name__) + ) + + @abc.abstractmethod + def _describe(self) -> Dict[str, Any]: + raise NotImplementedError( + "`{}` is a subclass of AbstractDataSet and" + "it must implement the `_describe` method".format(self.__class__.__name__) + ) + + +class ExistsMixin(abc.ABC): + """Mixin class which provides an exists() method.""" + + def exists(self) -> bool: + """Checks whether a data set's output already exists by calling + the provided _exists() method. + + Returns: + Flag indicating whether the output already exists. + + Raises: + DataSetError: when underlying exists method raises error. + + """ + try: + logging.getLogger(__name__).debug( + "Checking whether target of %s exists", str(self) + ) + return self._exists() + except Exception as exc: + message = "Failed during exists check for data set {}.\n{}".format( + str(self), str(exc) + ) + raise DataSetError(message) from exc + + @abc.abstractmethod + def _exists(self) -> bool: + raise NotImplementedError( + "`{}` inherits from ExistsMixin and " + "it must implement the `_exists` method".format(self.__class__.__name__) + ) + + +def generate_current_version() -> str: + """Generate the current version to be used by versioned data sets. + + Returns: + String representation of the current version. + + """ + current_ts = datetime.now(tz=timezone.utc) + fmt = ( + "{d.year:04d}-{d.month:02d}-{d.day:02d}T{d.hour:02d}" + ".{d.minute:02d}.{d.second:02d}.{ms:03d}Z" + ) + return fmt.format(d=current_ts, ms=current_ts.microsecond // 1000) + + +class Version(namedtuple("Version", ["load", "save"])): + """This namedtuple is used to provide load and save versions for versioned + data sets. If ``Version.load`` is None, then the latest available version + is loaded. If ``Version.save`` is None, then save version is formatted as + YYYY-MM-DDThh.mm.ss.sssZ of the current timestamp. + """ + + __slots__ = () + + +_PATH_CONSISTENCY_WARNING = ( + "Save path `{}` did not match load path `{}` for {}. This is strongly " + "discouraged due to inconsistencies it may cause between `save` and " + "`load` operations. Please refrain from setting exact load version for " + "intermediate data sets where possible to avoid this warning." +) + + +# pylint: disable=too-few-public-methods +class FilepathVersionMixIn: + """Mixin class which helps to version filepath-like data sets.""" + + def _get_load_path(self, filepath: str, version: Version = None) -> str: + if not version: + return filepath + if version.load: + return self._get_versioned_path(filepath, version.load) + pattern = self._get_versioned_path(filepath, "*") + paths = [f for f in iglob(pattern) if Path(f).exists()] + if not paths: + message = "Did not find any versions for {}".format(str(self)) + raise DataSetError(message) + return sorted(paths, reverse=True)[0] + + def _get_save_path(self, filepath: str, version: Version = None) -> str: + if not version: + return filepath + save_version = version.save or generate_current_version() + versioned_path = self._get_versioned_path(filepath, save_version) + if Path(versioned_path).exists(): + message = ( + "Save path `{}` for {} must not exist if versioning " + "is enabled.".format(versioned_path, str(self)) + ) + raise DataSetError(message) + return versioned_path + + @staticmethod + def _get_versioned_path(filepath: str, version: str) -> str: + filepath = Path(filepath) + return str(filepath / version / filepath.name) + + def _check_paths_consistency(self, load_path: str, save_path: str): + if load_path != save_path: + warn(_PATH_CONSISTENCY_WARNING.format(save_path, load_path, str(self))) + + +# pylint: disable=too-few-public-methods +class S3PathVersionMixIn: + """Mixin class which helps to version S3 data sets.""" + + def _get_load_path( + self, client: Any, bucket: str, filepath: str, version: Version = None + ) -> str: + if not version: + return filepath + if version.load: + return self._get_versioned_path(filepath, version.load) + prefix = filepath if filepath.endswith("/") else filepath + "/" + keys = list(self._list_objects(client, bucket, prefix)) + if not keys: + message = "Did not find any versions for {}".format(str(self)) + raise DataSetError(message) + return sorted(keys, reverse=True)[0] + + def _get_save_path( + self, client: Any, bucket: str, filepath: str, version: Version = None + ) -> str: + if not version: + return filepath + save_version = version.save or generate_current_version() + versioned_path = self._get_versioned_path(filepath, save_version) + if versioned_path in self._list_objects(client, bucket, versioned_path): + message = ( + "Save path `{}` for {} must not exist if versioning " + "is enabled.".format(versioned_path, str(self)) + ) + raise DataSetError(message) + return versioned_path + + def _check_paths_consistency(self, load_path: str, save_path: str): + if load_path != save_path: + warn(_PATH_CONSISTENCY_WARNING.format(save_path, load_path, str(self))) + + @staticmethod + def _get_versioned_path(filepath: str, version: str) -> str: + filepath = PurePosixPath(filepath) + return str(filepath / version / filepath.name) + + @staticmethod + def _list_objects(client: Any, bucket: str, prefix: str): + paginator = client.get_paginator("list_objects_v2") + page_iterator = paginator.paginate(Bucket=bucket, Prefix=prefix) + for page in page_iterator: + yield from ( + obj["Key"] + for obj in page.get("Contents", []) + if not obj["Key"].endswith("/") + ) diff --git a/kedro/io/csv_local.py b/kedro/io/csv_local.py new file mode 100644 index 0000000000..c2f6aaaf9a --- /dev/null +++ b/kedro/io/csv_local.py @@ -0,0 +1,137 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``CSVLocalDataSet`` loads and saves data to a local csv file. The +underlying functionality is supported by pandas, so it supports all +allowed pandas options for loading and saving csv files. +""" +from pathlib import Path +from typing import Any, Dict + +import pandas as pd + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + FilepathVersionMixIn, + Version, +) + + +class CSVLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``CSVLocalDataSet`` loads and saves data to a local csv file. The + underlying functionality is supported by pandas, so it supports all + allowed pandas options for loading and saving csv files. + + Example: + :: + + >>> from kedro.io import CSVLocalDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = CSVLocalDataSet(filepath="test.csv", + >>> load_args=None, + >>> save_args={"index": False}) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def __init__( + self, + filepath: str, + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``CSVLocalDataSet`` pointing to a concrete + filepath. + + Args: + filepath: path to a csv file. + load_args: Pandas options for loading csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html + All defaults are preserved. + save_args: Pandas options for saving csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html + All defaults are preserved, but "index", which is set to False. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + """ + default_save_args = {"index": False} + default_load_args = {} + self._filepath = filepath + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._version = version + + def _load(self) -> pd.DataFrame: + load_path = self._get_load_path(self._filepath, self._version) + return pd.read_csv(load_path, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + data.to_csv(str(save_path), **self._save_args) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + return Path(path).is_file() diff --git a/kedro/io/csv_s3.py b/kedro/io/csv_s3.py new file mode 100644 index 0000000000..cba4730606 --- /dev/null +++ b/kedro/io/csv_s3.py @@ -0,0 +1,159 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``CSVS3DataSet`` loads and saves data to a file in S3. It uses s3fs +to read and write from S3 and pandas to handle the csv file. +""" +from typing import Any, Dict, Optional + +import pandas as pd +from s3fs.core import S3FileSystem + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + S3PathVersionMixIn, + Version, +) + + +class CSVS3DataSet(AbstractDataSet, ExistsMixin, S3PathVersionMixIn): + """``CSVS3DataSet`` loads and saves data to a file in S3. It uses s3fs + to read and write from S3 and pandas to handle the csv file. + + Example: + :: + + >>> from kedro.io import CSVS3DataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> + >>> data_set = CSVS3DataSet(filepath="test.csv", + >>> bucket_name="test_bucket", + >>> load_args=None, + >>> save_args={"index": False}) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + bucket_name=self._bucket_name, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + bucket_name: str, + credentials: Optional[Dict[str, Any]] = None, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``CSVS3DataSet`` pointing to a concrete + csv file on S3. + + Args: + filepath: Path to a csv file. + bucket_name: S3 bucket name. + credentials: Credentials to access the S3 bucket, such as + ``aws_access_key_id``, ``aws_secret_access_key``. + load_args: Pandas options for loading csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html + All defaults are preserved. + save_args: Pandas options for saving csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html + All defaults are preserved, but "index", which is set to False. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + """ + default_save_args = {"index": False} + self._save_args = ( + {**default_save_args, **save_args} if save_args else default_save_args + ) + self._load_args = load_args if load_args else {} + self._filepath = filepath + self._bucket_name = bucket_name + self._credentials = credentials if credentials else {} + self._version = version + self._s3 = S3FileSystem(client_kwargs=self._credentials) + + @property + def _client(self): + return self._s3.s3 + + def _load(self) -> pd.DataFrame: + load_key = self._get_load_path( + self._client, self._bucket_name, self._filepath, self._version + ) + + with self._s3.open( + "{}/{}".format(self._bucket_name, load_key), mode="rb" + ) as s3_file: + return pd.read_csv(s3_file) + + def _save(self, data: pd.DataFrame) -> None: + save_key = self._get_save_path( + self._client, self._bucket_name, self._filepath, self._version + ) + + with self._s3.open( + "{}/{}".format(self._bucket_name, save_key), mode="wb" + ) as s3_file: + # Only binary read and write modes are implemented for S3Files + s3_file.write(data.to_csv(**self._save_args).encode("utf8")) + + load_key = self._get_load_path( + self._client, self._bucket_name, self._filepath, self._version + ) + self._check_paths_consistency(load_key, save_key) + + def _exists(self) -> bool: + try: + load_key = self._get_load_path( + self._client, self._bucket_name, self._filepath, self._version + ) + except DataSetError: + return False + args = (self._client, self._bucket_name, load_key) + return any(key == load_key for key in self._list_objects(*args)) diff --git a/kedro/io/data_catalog.py b/kedro/io/data_catalog.py new file mode 100644 index 0000000000..e408d837c8 --- /dev/null +++ b/kedro/io/data_catalog.py @@ -0,0 +1,444 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``DataCatalog`` stores instances of ``AbstractDataSet`` implementations to +provide ``load`` and ``save`` capabilities from anywhere in the program. To +use a ``DataCatalog``, you need to instantiate it with a dictionary of data +sets. Then it will act as a single point of reference for your calls, +relaying load and save functions to the underlying data sets. +""" +import copy +import logging +from typing import Any, Dict, List, Optional, Type + +from kedro.io.core import ( + AbstractDataSet, + DataSetAlreadyExistsError, + DataSetError, + DataSetNotFoundError, + generate_current_version, +) +from kedro.io.memory_data_set import MemoryDataSet + +CATALOG_KEY = "catalog" +CREDENTIALS_KEY = "credentials" + + +def _get_credentials(credentials_name: str, credentials: Dict) -> Dict: + """Return a set of credentials from the provided credentials dict. + + Args: + credentials_name: Credentials name. + credentials: A dictionary with all credentials. + + Returns: + The set of requested credentials. + + Raises: + KeyError: When a data set with the given name has not yet been + registered. + + """ + try: + return credentials[credentials_name] + except KeyError: + raise KeyError( + "Unable to find credentials '{}': check your data " + "catalog and credentials configuration. See " + "https://kedro.readthedocs.io/en/latest/kedro.io.DataCatalog.html " + "for an example.".format(credentials_name) + ) + + +class DataCatalog: + """``DataCatalog`` stores instances of ``AbstractDataSet`` implementations + to provide ``load`` and ``save`` capabilities from anywhere in the + program. To use a ``DataCatalog``, you need to instantiate it with + a dictionary of data sets. Then it will act as a single point of reference + for your calls, relaying load and save functions + to the underlying data sets. + """ + + def __init__( + self, + data_sets: Dict[str, AbstractDataSet] = None, + feed_dict: Dict[str, Any] = None, + ) -> None: + """``DataCatalog`` stores instances of ``AbstractDataSet`` + implementations to provide ``load`` and ``save`` capabilities from + anywhere in the program. To use a ``DataCatalog``, you need to + instantiate it with a dictionary of data sets. Then it will act as a + single point of reference for your calls, relaying load and save + functions to the underlying data sets. + + Args: + data_sets: A dictionary of data set names and data set instances. + feed_dict: A feed dict with data to be added in memory. + + Example: + :: + + >>> from kedro.io import CSVLocalDataSet + >>> + >>> cars = CSVLocalDataSet(filepath="cars.csv", + >>> load_args=None, + >>> save_args={"index": False}) + >>> io = DataCatalog(data_sets={'cars': cars}) + """ + self._data_sets = data_sets or {} + if feed_dict: + self.add_feed_dict(feed_dict) + + @property + def _logger(self): + return logging.getLogger(__name__) + + @classmethod + def from_config( + cls: Type, + catalog: Optional[Dict[str, Dict[str, Any]]], + credentials: Dict[str, Dict[str, Any]] = None, + load_versions: Dict[str, str] = None, + save_version: str = None, + ) -> "DataCatalog": + """Create a ``DataCatalog`` instance from configuration. This is a + factory method used to provide developers with a way to instantiate + ``DataCatalog`` with configuration parsed from configuration files. + + Args: + catalog: A dictionary whose keys are the data set names and + the values are dictionaries with the constructor arguments + for classes implementing ``AbstractDataSet``. The data set + class to be loaded is specified with the key ``type`` and their + fully qualified class name. All ``kedro.io`` data set can be + specified by their class name only, i.e. their module name + can be omitted. + credentials: A dictionary containing credentials for different + data sets. Use the ``credentials`` key in a ``AbstractDataSet`` + to refer to the appropriate credentials as shown in the example + below. + load_versions: A mapping between dataset names and versions + to load. Has no effect on data sets without enabled versioning. + save_version: Version string to be used for ``save`` operations + by all data sets with enabled versioning. It must: a) be a + case-insensitive string that conforms with operating system + filename limitations, b) always return the latest version when + sorted in lexicographical order. + + Returns: + An instantiated ``DataCatalog`` containing all specified + data sets, created and ready to use. + + Raises: + DataSetError: When the method fails to create any of the data + sets from their config. + + Example: + :: + + >>> config = { + >>> "cars": { + >>> "type": "CSVLocalDataSet", + >>> "filepath": "cars.csv", + >>> "save_args": { + >>> "index": False + >>> } + >>> }, + >>> "boats": { + >>> "type": "CSVS3DataSet", + >>> "filepath": "boats.csv", + >>> "bucket_name": "mck-147789798-bucket", + >>> "credentials": "boats_credentials" + >>> "save_args": { + >>> "index": False + >>> } + >>> } + >>> } + >>> + >>> credentials = { + >>> "boats_credentials": { + >>> "aws_access_key_id": "<your key id>", + >>> "aws_secret_access_key": "<your secret>" + >>> } + >>> } + >>> + >>> catalog = DataCatalog.from_config(config, credentials) + >>> + >>> df = catalog.load("cars") + >>> catalog.save("boats", df) + """ + data_sets = {} + catalog = copy.deepcopy(catalog) or {} + credentials = copy.deepcopy(credentials) or {} + save_version = save_version or generate_current_version() + load_versions = copy.deepcopy(load_versions) or {} + + for ds_name, ds_config in catalog.items(): + if "type" not in ds_config: + raise DataSetError( + "`type` is missing from DataSet '{}' " + "catalog configuration".format(ds_name) + ) + if CREDENTIALS_KEY in ds_config: + ds_config[CREDENTIALS_KEY] = _get_credentials( + ds_config.pop(CREDENTIALS_KEY), credentials # credentials name + ) + data_sets[ds_name] = AbstractDataSet.from_config( + ds_name, ds_config, load_versions.get(ds_name), save_version + ) + return cls(data_sets=data_sets) + + def load(self, name: str) -> Any: + """Loads a registered data set. + + Args: + name: A data set to be loaded. + + Returns: + The loaded data as configured. + + Raises: + DataSetNotFoundError: When a data set with the given name + has not yet been registered. + + Example: + :: + + >>> from kedro.io import CSVLocalDataSet, DataCatalog + >>> + >>> cars = CSVLocalDataSet(filepath="cars.csv", + >>> load_args=None, + >>> save_args={"index": False}) + >>> io = DataCatalog(data_sets={'cars': cars}) + >>> + >>> df = io.load("cars") + """ + if name in self._data_sets: + self._logger.info( + "Loading data from `%s` (%s)...", + name, + type(self._data_sets[name]).__name__, + ) + return self._data_sets[name].load() + + raise DataSetNotFoundError("DataSet '{}' not found in the catalog".format(name)) + + def save(self, name: str, data: Any) -> None: + """Save data to a registered data set. + + Args: + name: A data set to be saved to. + data: A data object to be saved as configured in the registered + data set. + + Raises: + DataSetNotFoundError: When a data set with the given name + has not yet been registered. + + Example: + :: + + >>> import pandas as pd + >>> + >>> from kedro.io import CSVLocalDataSet + >>> + >>> cars = CSVLocalDataSet(filepath="cars.csv", + >>> load_args=None, + >>> save_args={"index": False}) + >>> io = DataCatalog(data_sets={'cars': cars}) + >>> + >>> df = pd.DataFrame({'col1': [1, 2], + >>> 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> io.save("cars", df) + """ + if name in self._data_sets: + self._logger.info( + "Saving data to `%s` (%s)...", + name, + type(self._data_sets[name]).__name__, + ) + self._data_sets[name].save(data) + else: + raise DataSetNotFoundError( + "DataSet '{}' not found in the catalog".format(name) + ) + + def exists(self, name: str) -> bool: + """Checks whether registered data set exists by calling its `exists()` + method. Raises a warning and returns False if `exists()` is not + implemented. + + Args: + name: A data set to be checked. + + Returns: + Whether the data set output exists. + + Raises: + DataSetNotFoundError: When a data set with the given name + has not yet been registered. + """ + if name in self._data_sets: + data_set = self._data_sets[name] + if hasattr(data_set, "exists"): + return data_set.exists() + + self._logger.warning( + "`exists()` not implemented for `%s`. " + "Assuming output does not exist.", + name, + ) + return False + + raise DataSetNotFoundError("DataSet '{}' not found in the catalog".format(name)) + + def add( + self, data_set_name: str, data_set: AbstractDataSet, replace: bool = False + ) -> None: + """Adds a new ``AbstractDataSet`` object to the ``DataCatalog``. + + Args: + data_set_name: A unique data set name which has not been + registered yet. + data_set: A data set object to be associated with the given data + set name. + replace: Specifies whether to replace an existing ``DataSet`` + with the same name is allowed. + + Raises: + DataSetAlreadyExistsError: When a data set with the same name + has already been registered. + + Example: + :: + + >>> from kedro.io import CSVLocalDataSet + >>> + >>> io = DataCatalog(data_sets={ + >>> 'cars': CSVLocalDataSet(filepath="cars.csv") + >>> }) + >>> + >>> io.add("boats", CSVLocalDataSet(filepath="boats.csv")) + """ + if data_set_name in self._data_sets: + if replace: + self._logger.warning("Replacing DataSet '%s'", data_set_name) + else: + raise DataSetAlreadyExistsError( + "DataSet '{}' has already been registered".format(data_set_name) + ) + self._data_sets[data_set_name] = data_set + + def add_all( + self, data_sets: Dict[str, AbstractDataSet], replace: bool = False + ) -> None: + """Adds a group of new data sets to the ``DataCatalog``. + + Args: + data_sets: A dictionary of ``DataSet`` names and data set + instances. + replace: Specifies whether to replace an existing ``DataSet`` + with the same name is allowed. + + Raises: + DataSetAlreadyExistsError: When a data set with the same name + has already been registered. + + Example: + :: + + >>> from kedro.io import CSVLocalDataSet, ParquetLocalDataSet + >>> + >>> io = DataCatalog(data_sets={ + >>> "cars": CSVLocalDataSet(filepath="cars.csv") + >>> }) + >>> additional = { + >>> "planes": ParquetLocalDataSet("planes.parq"), + >>> "boats": CSVLocalDataSet(filepath="boats.csv") + >>> } + >>> + >>> io.add_all(additional) + >>> + >>> assert io.list() == ["cars", "planes", "boats"] + """ + for name, data_set in data_sets.items(): + self.add(name, data_set, replace) + + def add_feed_dict(self, feed_dict: Dict[str, Any], replace: bool = False) -> None: + """Adds instances of ``MemoryDataSet``, containing the data provided + through feed_dict. + + Args: + feed_dict: A feed dict with data to be added in memory. + replace: Specifies whether to replace an existing ``DataSet`` + with the same name is allowed. + + Example: + :: + + >>> import pandas as pd + >>> + >>> df = pd.DataFrame({'col1': [1, 2], + >>> 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> + >>> io = DataCatalog() + >>> io.add_feed_dict({ + >>> 'data': df + >>> }, replace=True) + >>> + >>> assert io.load("data").equals(df) + """ + for data_set_name in feed_dict: + if isinstance(feed_dict[data_set_name], AbstractDataSet): + data_set = feed_dict[data_set_name] + else: + data_set = MemoryDataSet(data=feed_dict[data_set_name]) + + self.add(data_set_name, data_set, replace) + + def list(self) -> List[str]: + """List of ``DataSet`` names registered in the catalog. + + Returns: + A List of ``DataSet`` names, corresponding to the entries that are + registered in the current catalog object. + + """ + return list(self._data_sets.keys()) + + def shallow_copy(self) -> "DataCatalog": + """Returns a shallow copy of the current object. + + Returns: + Copy of the current object. + """ + return DataCatalog({**self._data_sets}) + + def __eq__(self, other): + return self._data_sets == other._data_sets # pylint: disable=protected-access diff --git a/kedro/io/excel_local.py b/kedro/io/excel_local.py new file mode 100644 index 0000000000..3f5d9d0a9e --- /dev/null +++ b/kedro/io/excel_local.py @@ -0,0 +1,150 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``ExcelLocalDataSet`` loads and saves data to a local Excel file. The +underlying functionality is supported by pandas, so it supports all +allowed pandas options for loading and saving Excel files. +""" +from pathlib import Path +from typing import Any, Dict, Union + +import pandas as pd + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + FilepathVersionMixIn, + Version, +) + + +class ExcelLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``ExcelLocalDataSet`` loads and saves data to a local Excel file. The + underlying functionality is supported by pandas, so it supports all + allowed pandas options for loading and saving Excel files. + + Example: + :: + + >>> from kedro.io import ExcelLocalDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = ExcelLocalDataSet(filepath="test.xlsx", + >>> load_args={'sheet_name':"Sheet1"}, + >>> save_args=None) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + engine=self._engine, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + engine: str = "xlsxwriter", + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``ExcelLocalDataSet`` pointing to a concrete + filepath. + + Args: + engine: The engine used to write to excel files. The default + engine is 'xlswriter'. + + filepath: path to an Excel file. + + load_args: Pandas options for loading Excel files. Here you can + find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html + The default_load_arg engine is 'xlrd', all others preserved. + + save_args: Pandas options for saving Excel files. Here you can + find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_excel.html + All defaults are preserved, but "index", which is set to False. + + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + """ + self._filepath = filepath + default_save_args = {"index": False} + default_load_args = {"engine": "xlrd"} + + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._engine = engine + self._version = version + + def _load(self) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]: + load_path = self._get_load_path(self._filepath, self._version) + return pd.read_excel(load_path, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + with pd.ExcelWriter(str(save_path), engine=self._engine) as writer: + data.to_excel(writer, **self._save_args) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + return Path(path).is_file() diff --git a/kedro/io/hdf_local.py b/kedro/io/hdf_local.py new file mode 100644 index 0000000000..70596a6ab8 --- /dev/null +++ b/kedro/io/hdf_local.py @@ -0,0 +1,152 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``HDFLocalDataSet`` loads and saves data to a local hdf file. The +underlying functionality is supported by pandas, so it supports all +allowed pandas options for loading and saving hdf files. +""" +from pathlib import Path +from typing import Any, Dict + +import pandas as pd +from pandas.io.pytables import HDFStore + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + FilepathVersionMixIn, + Version, +) + + +class HDFLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``HDFLocalDataSet`` loads and saves data to a local hdf file. The + underlying functionality is supported by pandas, so it supports all + allowed pandas options for loading and saving hdf files. + + Example: + :: + + >>> from kedro.io import HDFLocalDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = HDFLocalDataSet(filepath="test.hdf", + >>> key="test_hdf_key", + >>> load_args=None, + >>> save_args=None) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + + """ + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + key: str, + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``HDFLocalDataSet`` pointing to a concrete + filepath. + + Args: + filepath: path to an hdf file. + key: identifier to the group in the HDF store. + load_args: Pandas options for loading hdf files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_hdf.html + All defaults are preserved. + save_args: Pandas options for saving hdf files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_hdf.html + All defaults are preserved. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + """ + default_load_args = {} + default_save_args = {} + self._filepath = filepath + self._key = key + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_load_args, **save_args} + if save_args is not None + else default_save_args + ) + self._version = version + + def _load(self) -> pd.DataFrame: + load_path = self._get_load_path(self._filepath, self._version) + return pd.read_hdf(load_path, key=self._key, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + data.to_hdf(str(save_path), key=self._key, **self._save_args) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + key=self._key, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + if Path(path).is_file(): + with HDFStore(path, mode="r") as hdfstore: + key_with_slash = ( + self._key if self._key.startswith("/") else "/" + self._key + ) + if key_with_slash in hdfstore.keys(): + return True + return False diff --git a/kedro/io/json_local.py b/kedro/io/json_local.py new file mode 100644 index 0000000000..9fe1730964 --- /dev/null +++ b/kedro/io/json_local.py @@ -0,0 +1,135 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``JSONLocalDataSet`` encodes a given object to json and saves it to a local +file. +""" +import json +from pathlib import Path +from typing import Any, Dict + +import pandas as pd + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + FilepathVersionMixIn, + Version, +) + + +class JSONLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``JSONLocalDataSet`` encodes data as json and saves it to a local file + or reads in and decodes an existing json file. The encoding/decoding + functionality is provided by Python's ``json`` library. + + Example: + :: + + >>> from kedro.io import JSONLocalDataSet + >>> my_dict = { + >>> 'a_string': 'Hello, World!', + >>> 'a_list': [1, 2, 3] + >>> } + >>> data_set = JSONLocalDataSet(filepath="test.json") + >>> data_set.save(my_dict) + >>> reloaded = data_set.load() + >>> assert my_dict == reloaded + + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def __init__( + self, + filepath: str, + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``JSONLocalDataSet`` pointing to a concrete + filepath. + + Args: + filepath: path to a local json file. + load_args: Arguments passed on to ```json.load``. + See https://docs.python.org/3/library/json.html for details. + All defaults are preserved. + save_args: Arguments passed on to ```json.dump``. + See https://docs.python.org/3/library/json.html + for details. All defaults are preserved. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + """ + default_save_args = {"indent": 4} + default_load_args = {} + self._filepath = filepath + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._version = version + + def _load(self) -> Any: + load_path = self._get_load_path(self._filepath, self._version) + with open(load_path, "r") as local_file: + return json.load(local_file, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + with save_path.open("w") as local_file: + json.dump(data, local_file, **self._save_args) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + return Path(path).is_file() diff --git a/kedro/io/lambda_data_set.py b/kedro/io/lambda_data_set.py new file mode 100644 index 0000000000..ba46435f69 --- /dev/null +++ b/kedro/io/lambda_data_set.py @@ -0,0 +1,141 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``LambdaDataSet`` is an implementation of ``AbstractDataSet`` which allows for +providing custom load, save, and exists methods without extending +``AbstractDataSet``. +""" +import logging +from typing import Any, Callable, Dict, Optional + +from kedro.io.core import AbstractDataSet, DataSetError + + +class LambdaDataSet(AbstractDataSet): + """``LambdaDataSet`` loads and saves data to a data set. + It relies on delegating to specific implementation such as csv, sql, etc. + + ``LambdaDataSet`` class captures Exceptions while performing operations on + composed ``DataSet`` implementations. The composed data set is + responsible for providing information on how to resolve the issue when + possible. This information should be available through str(error). + + Example: + :: + + >>> from kedro.io import LambdaDataSet + >>> import pandas as pd + >>> + >>> file_name = "test.csv" + >>> def load() -> pd.DataFrame: + >>> raise FileNotFoundError("'{}' csv file not found." + >>> .format(file_name)) + >>> data_set = LambdaDataSet(load, None) + """ + + def _describe(self) -> Dict[str, Any]: + def _to_str(func): + if not func: + return None + try: + return "<{}.{}>".format(func.__module__, func.__name__) + except AttributeError: # pragma: no cover + return str(func) + + descr = {"load": _to_str(self.__load), "save": _to_str(self.__save)} + if hasattr(self, "exists"): + descr["exists"] = _to_str(self._exists) + + return descr + + def _save(self, data: Any) -> None: + if not self.__save: + raise DataSetError( + "Cannot save to data set. No `save` function " + "provided when LambdaDataSet was created." + ) + self.__save(data) + + def _load(self) -> Any: + if not self.__load: + raise DataSetError( + "Cannot load data set. No `load` function " + "provided when LambdaDataSet was created." + ) + return self.__load() + + def __init__( + self, + load: Optional[Callable[[], Any]], + save: Optional[Callable[[Any], None]], + exists: Optional[Callable[[], bool]] = None, + ): + """Creates a new instance of ``LambdaDataSet`` with references to the + required input/output data set methods. + + Args: + load: Method to load data from a data set. + save: Method to save data to a data set. + exists: Method to check whether output data already exists. + If None, no exists method is added. + + Raises: + DataSetError: If load and/or save is specified, but is not a Callable. + + """ + + if load is not None and not callable(load): + raise DataSetError( + "`load` function for LambdaDataSet must be a Callable. " + "Object of type `{}` provided instead.".format(load.__class__.__name__) + ) + if save is not None and not callable(save): + raise DataSetError( + "`save` function for LambdaDataSet must be a Callable. " + "Object of type `{}` provided instead.".format(save.__class__.__name__) + ) + + self.__load = load + self.__save = save + + if exists: + self._exists = exists + + def _exists_with_error_handling(): + # wrapper around exists method for error handling + try: + logging.getLogger(__name__).debug( + "Checking whether target of %s exists", str(self) + ) + return self._exists() + except Exception as exc: + message = "Failed during exists check for data set {}.\n{}".format( + str(self), str(exc) + ) + raise DataSetError(message) from exc + + self.exists = _exists_with_error_handling diff --git a/kedro/io/memory_data_set.py b/kedro/io/memory_data_set.py new file mode 100644 index 0000000000..0d0b943a62 --- /dev/null +++ b/kedro/io/memory_data_set.py @@ -0,0 +1,123 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``MemoryDataSet`` is a data set implementation which handles in-memory data. +""" + +import copy +from typing import Any, Dict + +import numpy as np +import pandas as pd + +from kedro.io.core import AbstractDataSet, DataSetError, ExistsMixin + + +class MemoryDataSet(AbstractDataSet, ExistsMixin): + """``MemoryDataSet`` loads and saves data from/to an in-memory\ + Python object. + + Example: + :: + + >>> from kedro.io import MemoryDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = MemoryDataSet(data=data) + >>> + >>> loaded_data = data_set.load() + >>> assert loaded_data.equals(data) + >>> + >>> new_data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5]}) + >>> data_set.save(new_data) + >>> reloaded_data = data_set.load() + >>> assert reloaded_data.equals(new_data) + + """ + + def _describe(self) -> Dict[str, Any]: + if self._data is not None: + return dict(data="<{}>".format(type(self._data).__name__)) + return dict(data=None) # pragma: no cover + + def __init__(self, data: Any = None, max_loads: int = None): + """Creates a new instance of ``MemoryDataSet`` pointing to the + provided Python object. + + Args: + data: Python object containing the data. + max_loads: Maximum number of times ``load`` method can be invoked. + ``MemoryDataSet`` data is reset after this number of calls is + made. Any number of calls is allowed if the argument is not + set. ``max_loads`` counter is reset after every ``save`` + method call. + + """ + self._data = None + self._max_loads = max_loads + if data is not None: + self._save(data) + + def _load(self) -> Any: + if self._data is None: + if self._max_loads is None: + message = "Data for MemoryDataSet has not been saved yet." + else: + message = ( + "Maximum number of MemoryDataSet loads exceeded " + "the threshold of {}. The data set was cleared " + "and holds no data now.".format(self._max_loads) + ) + raise DataSetError(message) + if isinstance(self._data, (pd.DataFrame, np.ndarray)): + data = self._data.copy() + elif type(self._data).__name__ == "DataFrame": + data = self._data + else: + data = copy.deepcopy(self._data) + if self._load_counter: + self._load_counter -= 1 + if self._load_counter == 0: + self._data = None + return data + + def _save(self, data: Any): + if isinstance(data, (pd.DataFrame, np.ndarray)): + self._data = data.copy() + elif type(data).__name__ == "DataFrame": + self._data = data + else: + self._data = copy.deepcopy(data) + self._load_counter = self._max_loads + + def _exists(self) -> bool: + if self._data is None: + return False + return True diff --git a/kedro/io/parquet_local.py b/kedro/io/parquet_local.py new file mode 100644 index 0000000000..31b863561f --- /dev/null +++ b/kedro/io/parquet_local.py @@ -0,0 +1,153 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``ParquetLocalDataSet`` is a data set used to load and save +data to local parquet files. It uses the ``pyarrow`` implementation, +which allows for multiple parts, compression, column selection etc. + +Documentation on the PyArrow library features, compatibility +list and known caveats can also be found on their official guide at: + +https://arrow.apache.org/docs/python/index.html +""" + +from pathlib import Path +from typing import Any, Dict + +import pandas as pd + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + FilepathVersionMixIn, + Version, +) + + +class ParquetLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``AbstractDataSet`` with functionality for handling local parquet files. + + Example: + :: + + >>> from kedro.io import ParquetLocalDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = ParquetLocalDataSet('myFile') + >>> data_set.save(data) + >>> loaded_data = data_set.load() + >>> assert data.equals(loaded_data) + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + engine=self._engine, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + engine: str = "auto", + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``ParquetLocalDataSet`` pointing to a + concrete filepath. + + Args: + filepath: Path to a parquet file or a metadata file of a multipart + parquet collection or the directory of a multipart parquet. + + engine: The engine to use, one of: `auto`, `fastparquet`, + `pyarrow`. If `auto`, then the default behavior is to try + `pyarrow`, falling back to `fastparquet` if `pyarrow` is + unavailable. + + load_args: Additional loading options `pyarrow`: + https://arrow.apache.org/docs/python/generated/pyarrow.parquet.read_table.html + or `fastparquet`: + https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.ParquetFile.to_pandas + + save_args: Additional saving options for `pyarrow`: + https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.from_pandas + or `fastparquet`: + https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.write + + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + """ + default_save_args = {"compression": None} + default_load_args = {} + + self._filepath = filepath + self._engine = engine + + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._version = version + + def _load(self) -> pd.DataFrame: + load_path = self._get_load_path(self._filepath, self._version) + return pd.read_parquet(load_path, engine=self._engine, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + data.to_parquet(save_path, engine=self._engine, **self._save_args) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + return Path(path).is_file() diff --git a/kedro/io/pickle_local.py b/kedro/io/pickle_local.py new file mode 100644 index 0000000000..70c0c360d7 --- /dev/null +++ b/kedro/io/pickle_local.py @@ -0,0 +1,181 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``PickleLocalDataSet`` loads and saves a Python object to a +local pickle file. The underlying functionality is +supported by the ``pickle`` and ``joblib`` libraries, so it supports +all allowed options for loading and saving pickle files. +""" + +import pickle +from pathlib import Path +from typing import Any, Dict + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + FilepathVersionMixIn, + Version, +) + +try: + import joblib +except ImportError: + joblib = None + + +class PickleLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``PickleLocalDataSet`` loads and saves a Python object to a + local pickle file. The underlying functionality is + supported by the pickle and joblib libraries, so it supports + all allowed options for loading and saving pickle files. + + Example: + :: + + >>> from kedro.io import PickleLocalDataSet + >>> import pandas as pd + >>> + >>> dummy_data = pd.DataFrame({'col1': [1, 2], + >>> 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = PickleLocalDataSet(filepath="data.pkl", + >>> backend='pickle', + >>> load_args=None, + >>> save_args=None) + >>> data_set.save(dummy_data) + >>> reloaded = data_set.load() + """ + + BACKENDS = {"pickle": pickle, "joblib": joblib} + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + backend: str = "pickle", + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``PickleLocalDataSet`` pointing to a + concrete filepath. ``PickleLocalDataSet`` can use two backends to + serialise objects to disk: + + pickle.dump: https://docs.python.org/3/library/pickle.html#pickle.dump + + joblib.dump: https://pythonhosted.org/joblib/generated/joblib.dump.html + + and it can use two backends to load serialised objects into memory: + + pickle.load: https://docs.python.org/3/library/pickle.html#pickle.load + + joblib.load: https://pythonhosted.org/joblib/generated/joblib.load.html + + Joblib tends to exhibit better performance in case objects store NumPy + arrays: + http://gael-varoquaux.info/programming/new_low-overhead_persistence_in_joblib_for_big_data.html. + + Args: + filepath: path to a pkl file. + backend: backend to use, must be one of ['pickle', 'joblib']. + load_args: Options for loading pickle files. Refer to the help + file of ``pickle.load`` or ``joblib.load`` for options. + save_args: Options for saving pickle files. Refer to the help + file of ``pickle.dump`` or ``joblib.load`` for options. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + Raises: + ValueError: If 'backend' is not one of ['pickle', 'joblib']. + ImportError: If 'backend' could not be imported. + + """ + default_save_args = {} + default_load_args = {} + + if backend not in ["pickle", "joblib"]: + raise ValueError( + "backend should be one of ['pickle', 'joblib'], got %s" % backend + ) + if backend == "joblib" and joblib is None: + raise ImportError( + "selected backend 'joblib' could not be " + "imported. Make sure it is installed." + ) + + self._filepath = filepath + self._backend = backend + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._version = version + + def _load(self) -> Any: + load_path = self._get_load_path(self._filepath, self._version) + with open(load_path, "rb") as local_file: + result = self.BACKENDS[self._backend].load(local_file, **self._load_args) + return result + + def _save(self, data: Any) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + + with save_path.open("wb") as local_file: + self.BACKENDS[self._backend].dump(data, local_file, **self._save_args) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + backend=self._backend, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + return Path(path).is_file() diff --git a/kedro/io/pickle_s3.py b/kedro/io/pickle_s3.py new file mode 100644 index 0000000000..23ff8b6958 --- /dev/null +++ b/kedro/io/pickle_s3.py @@ -0,0 +1,170 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``PickleS3DataSet`` loads and saves a Python object to a pickle file on S3. +The underlying functionality is supported by the ``pickle`` library, so +it supports all allowed options for loading and saving pickle files. +""" +import pickle +from typing import Any, Dict, Optional + +from s3fs.core import S3FileSystem + +from kedro.io.core import ( + AbstractDataSet, + DataSetError, + ExistsMixin, + S3PathVersionMixIn, + Version, +) + + +class PickleS3DataSet(AbstractDataSet, ExistsMixin, S3PathVersionMixIn): + """``PickleS3DataSet`` loads and saves a Python object to a + pickle file on S3. The underlying functionality is + supported by the pickle library, so it supports all + allowed options for loading and saving pickle files. + + Example: + :: + + >>> from kedro.io import PickleLocalDataSet + >>> import pandas as pd + >>> + >>> dummy_data = pd.DataFrame({'col1': [1, 2], + >>> 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> data_set = PickleS3DataSet(filepath="data.pkl", + >>> bucket_name="test_bucket", + >>> load_args=None, + >>> save_args=None) + >>> data_set.save(dummy_data) + >>> reloaded = data_set.load() + """ + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + bucket_name: str, + credentials: Optional[Dict[str, Any]] = None, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``PickleS3DataSet`` pointing to a + concrete file on S3. ``PickleS3DataSet`` uses pickle backend to + serialise objects to disk: + + pickle.dumps: https://docs.python.org/3/library/pickle.html#pickle.dumps + + and to load serialised objects into memory: + + pickle.loads: https://docs.python.org/3/library/pickle.html#pickle.loads + + Args: + filepath: path to a pkl file. + bucket_name: S3 bucket name. + credentials: Credentials to access the S3 bucket, such as + ``aws_access_key_id``, ``aws_secret_access_key``. + load_args: Options for loading pickle files. Refer to the help + file of ``pickle.loads`` for options. + save_args: Options for saving pickle files. Refer to the help + file of ``pickle.dumps`` for options. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + """ + default_load_args = {} + default_save_args = {} + + self._filepath = filepath + self._bucket_name = bucket_name + self._credentials = credentials if credentials else {} + self._version = version + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._s3 = S3FileSystem(client_kwargs=self._credentials) + + @property + def _client(self): + return self._s3.s3 + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + bucket_name=self._bucket_name, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def _load(self) -> Any: + load_key = self._get_load_path( + self._client, self._bucket_name, self._filepath, self._version + ) + + with self._s3.open( + "{}/{}".format(self._bucket_name, load_key), mode="rb" + ) as s3_file: + return pickle.loads(s3_file.read(), **self._load_args) + + def _save(self, data: Any) -> None: + save_key = self._get_save_path( + self._client, self._bucket_name, self._filepath, self._version + ) + bytes_object = pickle.dumps(data, **self._save_args) + + with self._s3.open( + "{}/{}".format(self._bucket_name, save_key), mode="wb" + ) as s3_file: + s3_file.write(bytes_object) + + load_key = self._get_load_path( + self._client, self._bucket_name, self._filepath, self._version + ) + self._check_paths_consistency(load_key, save_key) + + def _exists(self) -> bool: + try: + load_key = self._get_load_path( + self._client, self._bucket_name, self._filepath, self._version + ) + except DataSetError: + return False + args = (self._client, self._bucket_name, load_key) + return any(key == load_key for key in self._list_objects(*args)) diff --git a/kedro/io/sql.py b/kedro/io/sql.py new file mode 100644 index 0000000000..0930718065 --- /dev/null +++ b/kedro/io/sql.py @@ -0,0 +1,327 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``SQLDataSet`` to load and save data to a SQL backend.""" + +import re +from typing import Any, Dict, Optional + +import pandas as pd +from sqlalchemy import create_engine +from sqlalchemy.exc import NoSuchModuleError + +from kedro.io.core import AbstractDataSet, DataSetError, ExistsMixin + +__all__ = ["SQLTableDataSet", "SQLQueryDataSet"] + +KNOWN_PIP_INSTALL = { + "psycopg2": "psycopg2", + "mysqldb": "mysqlclient", + "cx_Oracle": "cx_Oracle", +} + +DRIVER_ERROR_MESSAGE = """ +A module/driver is missing when connecting to your SQL server. SQLDataSet + supports SQLAlchemy drivers. Please refer to + https://docs.sqlalchemy.org/en/13/core/engines.html#supported-databases + for more information. +\n\n +""" + + +def _find_known_drivers(module_import_error: ImportError) -> Optional[str]: + """Looks up known keywords in a ``ModuleNotFoundError`` so that it can + provide better guideline for the user. + + Args: + module_import_error: Error raised while connecting to a SQL server. + + Returns: + Instructions for installing missing driver. An empty string is + returned in case error is related to an unknown driver. + + """ + + # module errors contain string "No module name 'module_name'" + # we are trying to extract module_name surrounded by quotes here + res = re.findall(r"'(.*?)'", str(module_import_error.args[0]).lower()) + + # in case module import error does not match our expected pattern + # we have no recommendation + if not res: + return None + + missing_module = res[0] + + if KNOWN_PIP_INSTALL.get(missing_module): + return ( + "You can also try installing missing driver with\n" + "\npip install {}".format(KNOWN_PIP_INSTALL.get(missing_module)) + ) + + return None + + +def _get_missing_module_error(import_error: ImportError) -> DataSetError: + missing_module_instruction = _find_known_drivers(import_error) + + if missing_module_instruction is None: + return DataSetError( + "{}Loading failed with error:\n\n{}".format( + DRIVER_ERROR_MESSAGE, str(import_error) + ) + ) + + return DataSetError("{}{}".format(DRIVER_ERROR_MESSAGE, missing_module_instruction)) + + +def _get_sql_alchemy_missing_error() -> DataSetError: + return DataSetError( + "The SQL dialect in your connection is not supported by " + "SQLAlchemy. Please refer to " + "https://docs.sqlalchemy.org/en/13/core/engines.html#supported-databases " + "for more information." + ) + + +class SQLTableDataSet(AbstractDataSet, ExistsMixin): + """``SQLTableDataSet`` loads data from a SQL table and saves a pandas + dataframe to a table. It uses ``pandas.DataFrame`` internally, + so it supports all allowed pandas options on ``read_sql_table`` and + ``to_sql`` methods. However, it modifies the save parameters and stores + the data with no index. This is designed to make load and save methods + symmetric. + + + Example: + :: + + >>> from kedro.io import SQLTableDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> table_name="table_a" + >>> credentials = { + >>> con: "postgresql://scott:tiger@localhost/test" + >>> } + >>> data_set = SQLTableDataSet(table_name=table_name, + >>> credentials=credentials) + >>> + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + + """ + + def _describe(self) -> Dict[str, Any]: + load_args = self._load_args.copy() + save_args = self._save_args.copy() + del load_args["table_name"] + del load_args["con"] + del save_args["name"] + del save_args["con"] + return dict( + table_name=self._load_args["table_name"], + load_args=load_args, + save_args=save_args, + ) + + def __init__( + self, + table_name: str, + credentials: Dict[str, Any], + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + ) -> None: + """Creates a new ``SQLTableDataSet``. + + Args: + table_name: The table name to load or save data to. It + overwrites name in ``save_args`` and ``table_name`` + parameters in ``load_args``. + credentials: A dictionary with a ``SQLAlchemy`` connection string. + Users are supposed to provide the connection string 'con' + through credentials. It overwrites con parameter in + ``load_args`` and ``save_args`` in case it is provided. + load_args: Provided to underlying pandas ``read_sql_table`` + function along with the connection string. + To find all supported arguments, see here: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_table.html + save_args: Provided to underlying pandas ``to_sql`` function along + with the connection string. + To find all supported arguments, see here: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_sql.html + It has ``index=False`` in the default parameters. + + Raises: + DataSetError: When either ``table_name`` or ``con`` is empty. + + """ + + if not table_name: + raise DataSetError("`table_name` argument cannot be empty.") + + if not (credentials and "con" in credentials and credentials["con"]): + raise DataSetError( + "`con` argument cannot be empty. Please " + "provide a SQLAlchemy connection string." + ) + + default_save_args = {"index": False} + default_load_args = {} + + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + + self._load_args["table_name"] = table_name + self._save_args["name"] = table_name + + self._load_args["con"] = self._save_args["con"] = credentials["con"] + + def _load(self) -> pd.DataFrame: + try: + return pd.read_sql_table(**self._load_args) + except ImportError as import_error: + raise _get_missing_module_error(import_error) + except NoSuchModuleError: + raise _get_sql_alchemy_missing_error() + + def _save(self, data: pd.DataFrame) -> None: + try: + data.to_sql(**self._save_args) + except ImportError as import_error: + raise _get_missing_module_error(import_error) + except NoSuchModuleError: + raise _get_sql_alchemy_missing_error() + + def _exists(self) -> bool: + eng = create_engine(self._load_args["con"]) + schema = self._load_args.get("schema", None) + exists = self._load_args["table_name"] in eng.table_names(schema) + eng.dispose() + return exists + + +class SQLQueryDataSet(AbstractDataSet): + """``SQLQueryDataSet`` loads data from a provided SQL query. It + uses ``pandas.DataFrame`` internally, so it supports all allowed + pandas options on ``read_sql_query``. + + It does not support save method so it is a read only data set. + To save data to a SQL server use ``SQLTableDataSet``. + + + Example: + :: + + >>> from kedro.io import SQLQueryDataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> sql="SELECT * FROM table_a" + >>> credentials = { + >>> con: "postgresql://scott:tiger@localhost/test" + >>> } + >>> data_set = SQLQueryDataSet(sql=sql, + >>> credentials=credentials) + >>> + >>> sql_data = data_set.load() + >>> + + """ + + def _describe(self) -> Dict[str, Any]: + load_args = self._load_args.copy() + del load_args["sql"] + del load_args["con"] + return dict(sql=self._load_args["sql"], load_args=load_args) + + def __init__( + self, sql: str, credentials: Dict[str, Any], load_args: Dict[str, Any] = None + ) -> None: + """Creates a new ``SQLQueryDataSet``. + + Args: + sql: The sql query statement. + credentials: A dictionary with a ``SQLAlchemy`` connection string. + Users are supposed to provide the connection string 'con' + through credentials. It overwrites con parameter in + ``load_args`` and ``save_args`` in case it is provided. + load_args: Provided to underlying pandas ``read_sql_query`` + function along with the connection string. + To find all supported arguments, see here: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html + + Raises: + DataSetError: When either ``sql`` or ``con`` parameters is emtpy. + + """ + + if not sql: + raise DataSetError( + "`sql` argument cannot be empty. Please provide a sql query" + ) + + if not (credentials and "con" in credentials and credentials["con"]): + raise DataSetError( + "`con` argument cannot be empty. Please " + "provide a SQLAlchemy connection string." + ) + + default_load_args = {} + + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + + self._load_args["sql"] = sql + + self._load_args["con"] = credentials["con"] + + def _load(self) -> pd.DataFrame: + try: + return pd.read_sql_query(**self._load_args) + except ImportError as import_error: + raise _get_missing_module_error(import_error) + except NoSuchModuleError: + raise _get_sql_alchemy_missing_error() + + def _save(self, data: pd.DataFrame) -> None: + raise DataSetError("`save` is not supported on SQLQueryDataSet") diff --git a/kedro/io/text_local.py b/kedro/io/text_local.py new file mode 100644 index 0000000000..166d3ca869 --- /dev/null +++ b/kedro/io/text_local.py @@ -0,0 +1,120 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``TextLocalDataSet`` loads and saves data to a local text file. The data is +accessed text data using the python open function. +""" +from pathlib import Path +from typing import Any, Dict + +from kedro.io import AbstractDataSet, ExistsMixin +from kedro.io.core import DataSetError, FilepathVersionMixIn, Version + + +class TextLocalDataSet(AbstractDataSet, ExistsMixin, FilepathVersionMixIn): + """``TextLocalDataSet`` loads and saves unstructured text files. + + Example: + :: + + >>> from kedro.io import TextLocalDataSet + >>> + >>> string_to_write = "This will go in a file." + >>> + >>> data_set = TextLocalDataSet(filepath="docs/new_documentation.md") + >>> data_set.save(string_to_write) + >>> reloaded = data_set.load() + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def __init__( + self, + filepath: str, + load_args: Dict[str, Any] = None, + save_args: Dict[str, Any] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``TextFile``. + + Args: + filepath: path to a text file. + load_args: Load arguments should be specified in accordance with + the built in open function. This can be found at + https://docs.python.org/3/library/functions.html#open + save_args: Save arguments should be specified in accordance with + the built in open function. This can be found at + https://docs.python.org/3/library/functions.html#open + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + """ + default_save_args = {"mode": "w"} + default_load_args = {"mode": "r"} + + self._filepath = filepath + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + self._version = version + + def _load(self) -> str: + load_path = self._get_load_path(self._filepath, self._version) + with open(load_path, **self._load_args) as _file: + return _file.read() + + def _save(self, data: str) -> None: + save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path.parent.mkdir(parents=True, exist_ok=True) + with open(str(save_path), **self._save_args) as _file: + _file.write(data) + + load_path = Path(self._get_load_path(self._filepath, self._version)) + self._check_paths_consistency( + str(load_path.absolute()), str(save_path.absolute()) + ) + + def _exists(self) -> bool: + try: + path = self._get_load_path(self._filepath, self._version) + except DataSetError: + return False + return Path(path).is_file() diff --git a/kedro/pipeline/__init__.py b/kedro/pipeline/__init__.py new file mode 100644 index 0000000000..f6356463e6 --- /dev/null +++ b/kedro/pipeline/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``kedro.pipeline`` provides functionality to define and execute +data-driven pipelines. +""" + +from .node import node # NOQA +from .pipeline import Pipeline # NOQA diff --git a/kedro/pipeline/decorators.py b/kedro/pipeline/decorators.py new file mode 100644 index 0000000000..cd3ed0c727 --- /dev/null +++ b/kedro/pipeline/decorators.py @@ -0,0 +1,128 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""A module containing predefined node decorators in Kedro. +""" + +import logging +import time +from functools import wraps +from typing import Callable + +from memory_profiler import memory_usage + + +def _func_full_name(func: Callable): + if not func.__module__: + return func.__qualname__ + return "%s.%s" % (func.__module__, func.__qualname__) + + +def _human_readable_time(elapsed: float): # pragma: no cover + mins, secs = divmod(elapsed, 60) + hours, mins = divmod(mins, 60) + + if hours > 0: + message = "%dh%02dm%02ds" % (hours, mins, secs) + elif mins > 0: + message = "%dm%02ds" % (mins, secs) + elif secs >= 1: + message = "%.2fs" % secs + else: + message = "%.0fms" % (secs * 1000.0) + + return message + + +def log_time(func: Callable) -> Callable: + """A function decorator which logs the time taken for executing a function. + + Args: + func: The function to be logged. + + Returns: + A wrapped function, which will execute the provided function and log + the running time. + + """ + + @wraps(func) + def with_time(*args, **kwargs): + log = logging.getLogger(__name__) + t_start = time.time() + result = func(*args, **kwargs) + t_end = time.time() + elapsed = t_end - t_start + + log.info( + "Running %r took %s [%.3fs]", + _func_full_name(func), + _human_readable_time(elapsed), + elapsed, + ) + return result + + return with_time + + +def mem_profile(func: Callable) -> Callable: + """A function decorator which profiles the memory used when executing the + function. The logged memory is collected by using the memory_profiler + python module and includes memory used by children processes. The usage + is collected by taking memory snapshots every 100ms. This decorator will + only work with functions taking at least 0.5s to execute due to a bug in + the memory_profiler python module. For more information about the bug, + please see https://github.com/pythonprofilers/memory_profiler/issues/216 + + Args: + func: The function to be profiled. + + Returns: + A wrapped function, which will execute the provided function and log + its max memory usage upon completion. + + """ + + @wraps(func) + def with_memory(*args, **kwargs): + log = logging.getLogger(__name__) + mem_usage, result = memory_usage( + (func, args, kwargs), + interval=0.1, + timeout=1, + max_usage=True, + retval=True, + include_children=True, + ) + log.info( + "Running %r consumed %2.2fMiB memory at peak time", + _func_full_name(func), + mem_usage[0], + ) + return result + + return with_memory diff --git a/kedro/pipeline/node.py b/kedro/pipeline/node.py new file mode 100644 index 0000000000..c8bd747829 --- /dev/null +++ b/kedro/pipeline/node.py @@ -0,0 +1,586 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""This module provides user-friendly functions for creating nodes as parts +of Kedro pipelines. +""" +import copy +import inspect +import logging +from collections import Counter +from functools import reduce +from typing import Any, Callable, Dict, Iterable, List, Set, Union + + +class Node: + """``Node`` is an auxiliary class facilitating the operations required to + run user-provided functions as part of Kedro pipelines. + """ + + # pylint: disable=W9016 + def __init__( + self, + func: Callable, + inputs: Union[None, str, List[str], Dict[str, str]], + outputs: Union[None, str, List[str], Dict[str, str]], + *, + name: str = None, + tags: Iterable[str] = None, + decorators: Iterable[Callable] = None + ): + """Create a node in the pipeline by providing a function to be called + along with variable names for inputs and/or outputs. + + Args: + func: A function that corresponds to the node logic. + The function should have at least one input or output. + inputs: The name or the list of the names of variables used as + inputs to the function. The number of names should match + the number of arguments in the definition of the provided + function. When Dict[str, str] is provided, variable names + will be mapped to function argument names. + outputs: The name or the list of the names of variables used + as outputs to the function. The number of names should match + the number of outputs returned by the provided function. + When Dict[str, str] is provided, variable names will be mapped + to the named outputs the function returns. + name: Optional node name to be used when displaying the node in + logs or any other visualisations. + tags: Optional set of tags to be applied to the node. + decorators: Optional list of decorators to be applied to the node. + + Raises: + ValueError: Raised in the following cases: + a) When the provided arguments do not conform to + the format suggested by the type hint of the argument. + b) When the node produces multiple outputs with the same name. + c) An input has the same name as an output. + + """ + + if not callable(func): + raise ValueError( + _node_error_message( + "first argument must be a " + "function, not `{}`.".format(type(func).__name__) + ) + ) + + if inputs and not isinstance(inputs, (list, dict, str)): + raise ValueError( + _node_error_message( + "`inputs` type must be one of [String, List, Dict, None], " + "not `{}`.".format(type(inputs).__name__) + ) + ) + + if outputs and not isinstance(outputs, (list, dict, str)): + raise ValueError( + _node_error_message( + "`outputs` type must be one of [String, List, Dict, None], " + "not `{}`.".format(type(outputs).__name__) + ) + ) + + if not inputs and not outputs: + raise ValueError( + _node_error_message("it must have some `inputs` or `outputs`.") + ) + + self._validate_inputs(func, inputs) + + self._func = func + self._inputs = inputs + self._outputs = outputs + self._name = name + self._tags = set([] if tags is None else tags) + self._decorators = decorators or [] + + self._validate_unique_outputs() + self._validate_inputs_dif_than_outputs() + + def tag(self, tags: Iterable[str]) -> "Node": + """Create a new ``Node`` which is an exact copy of the current one, + but with more tags added to it. + + Args: + tags: The tags to be added to the new node. + + Returns: + A copy of the current ``Node`` object with the tags added. + + """ + return Node( + self._func, + self._inputs, + self._outputs, + name=self._name, + tags=set(self._tags) | set(tags), + decorators=self._decorators, + ) + + @property + def tags(self) -> Set[str]: + """Return the tags assigned to the node. + + Returns: + Return the set of all assigned tags to the node. + + """ + return set(self._tags) + + @property + def _logger(self): + return logging.getLogger(__name__) + + def decorate(self, *decorators: Callable) -> "Node": + """Create a new ``Node`` by applying the provided decorators to the + underlying function. If no decorators are passed, it will return a + new ``Node`` object, but with no changes to the function. + + Args: + decorators: List of decorators to be applied on the node function. + Decorators will be applied from right to left. + + Returns: + A new ``Node`` object with the decorators applied to the function. + + Example: + :: + + >>> + >>> from functools import wraps + >>> + >>> + >>> def apply_f(func: Callable) -> Callable: + >>> @wraps(func) + >>> def with_f(*args, **kwargs): + >>> args = ["f({})".format(a) for a in args] + >>> return func(*args, **kwargs) + >>> return with_f + >>> + >>> + >>> def apply_g(func: Callable) -> Callable: + >>> @wraps(func) + >>> def with_g(*args, **kwargs): + >>> args = ["g({})".format(a) for a in args] + >>> return func(*args, **kwargs) + >>> return with_g + >>> + >>> + >>> def apply_h(func: Callable) -> Callable: + >>> @wraps(func) + >>> def with_h(*args, **kwargs): + >>> args = ["h({})".format(a) for a in args] + >>> return func(*args, **kwargs) + >>> return with_h + >>> + >>> + >>> def apply_fg(func: Callable) -> Callable: + >>> @wraps(func) + >>> def with_fg(*args, **kwargs): + >>> args = ["fg({})".format(a) for a in args] + >>> return func(*args, **kwargs) + >>> return with_fg + >>> + >>> + >>> def identity(value): + >>> return value + >>> + >>> + >>> # using it as a regular python decorator + >>> @apply_f + >>> def decorated_identity(value): + >>> return value + >>> + >>> + >>> # wrapping the node function + >>> old_node = node(apply_g(decorated_identity), 'input', 'output', + >>> name='node') + >>> # using the .decorate() method to apply multiple decorators + >>> new_node = old_node.decorate(apply_h, apply_fg) + >>> result = new_node.run(dict(input=1)) + >>> + >>> assert old_node.name == new_node.name + >>> assert "output" in result + >>> assert result['output'] == "f(g(fg(h(1))))" + """ + decorators = self._decorators + list(reversed(decorators)) + return Node( + self._func, + self._inputs, + self._outputs, + name=self._name, + tags=self.tags, + decorators=decorators, + ) + + @property + def name(self) -> str: # pragma: no-cover + """Node's name. + + Returns: + Node's name if provided or the name of its function. + """ + return self._name if self._name else str(self) + + @property + def inputs(self) -> List[str]: + """Return node inputs as a list preserving the original order + if possible. + + Returns: + Node input names as a list. + + """ + return self._to_list(self._inputs) + + @property + def outputs(self) -> List[str]: + """Return node outputs as a list preserving the original order + if possible. + + Returns: + Node output names as a list. + + """ + return self._to_list(self._outputs) + + @staticmethod + def _to_list(element: Union[None, str, List[str], Dict[str, str]]) -> List: + """Make a list out of node inputs/outputs. + + Returns: + List[str]: Node input/output names as a list to standardise. + """ + if element is None: + return list() + if isinstance(element, str): + return [element] + if isinstance(element, dict): + return list(element.values()) + return element + + def run(self, inputs: Dict[str, Any] = None) -> Dict[str, Any]: + """Run this node using the provided inputs and return its results + in a dictionary. + + Args: + inputs: Dictionary of inputs as specified at the creation of + the node. + + Raises: + ValueError: In the following cases: + a) The node function inputs are incompatible with the node + input definition. + Example 1: node definition input is a list of 2 + DataFrames, whereas only 1 was provided or 2 different ones + were provided. + b) The node function outputs are incompatible with the node + output definition. + Example 1: node function definition is a dictionary, + whereas function returns a list. + Example 2: node definition output is a list of 5 + strings, whereas the function returns a list of 4 objects. + Exception: Any exception thrown during execution of the node. + + Returns: + All produced node outputs are returned in a dictionary, where the + keys are defined by the node outputs. + + """ + self._logger.debug("Running node: %s", str(self)) + + outputs = None + + if not (inputs is None or isinstance(inputs, dict)): + raise ValueError( + "Node.run() expects a dictionary or None, " + "but got {} instead".format(type(inputs)) + ) + + try: + inputs = dict() if inputs is None else inputs + if not self._inputs: + outputs = self._run_no_inputs(inputs) + elif isinstance(self._inputs, str): + outputs = self._run_one_input(inputs) + elif isinstance(self._inputs, list): + outputs = self._run_with_list(inputs) + elif isinstance(self._inputs, dict): + outputs = self._run_with_dict(inputs) + + return self._outputs_to_dictionary(outputs) + + # purposely catch all exceptions + except Exception as exc: + self._logger.error("Node `%s` failed with error: \n%s", str(self), str(exc)) + raise exc + + @property + def _decorated_func(self): + return reduce(lambda g, f: f(g), self._decorators, self._func) + + def _run_no_inputs(self, inputs: Dict[str, Any]): + if inputs: + raise ValueError( + "Node {} expected no inputs, " + "but got the following {} input(s) instead: {}".format( + str(self), len(inputs), list(sorted(inputs.keys())) + ) + ) + + return self._decorated_func() + + def _run_one_input(self, inputs: Dict[str, Any]): + if len(inputs) != 1 or self._inputs not in inputs: + raise ValueError( + "Node {} expected one input named '{}', " + "but got the following {} input(s) instead: {}".format( + str(self), self._inputs, len(inputs), list(sorted(inputs.keys())) + ) + ) + + return self._decorated_func(inputs[self._inputs]) + + def _run_with_list(self, inputs: Dict[str, Any]): + all_available = set(self._inputs).issubset(inputs.keys()) + if len(self._inputs) != len(inputs) or not all_available: + # This can be split in future into two cases, one successful + raise ValueError( + "Node {} expected {} input(s) {}, " + "but got the following {} input(s) instead: {}.".format( + str(self), + len(self._inputs), + self._inputs, + len(inputs), + list(sorted(inputs.keys())), + ) + ) + # Ensure the function gets the inputs in the correct order + return self._decorated_func(*[inputs[item] for item in self._inputs]) + + def _run_with_dict(self, inputs: Dict[str, Any]): + all_available = set(self._inputs.values()).issubset(inputs.keys()) + if len(set(self._inputs.values())) != len(inputs) or not all_available: + # This can be split in future into two cases, one successful + raise ValueError( + "Node {} expected {} input(s) {}, " + "but got the following {} input(s) instead: {}.".format( + str(self), + len(set(self._inputs.values())), + list(sorted(set(self._inputs.values()))), + len(inputs), + list(sorted(inputs.keys())), + ) + ) + kwargs = {arg: inputs[alias] for arg, alias in self._inputs.items()} + return self._decorated_func(**kwargs) + + def _outputs_to_dictionary(self, outputs): + def _from_dict(): + if set(self._outputs.keys()) != set(outputs.keys()): + raise ValueError( + "Failed to save outputs of node {}.\n" + "The node's output keys {} do not " + "match with the returned output's keys {}.".format( + str(self), set(outputs.keys()), set(self._outputs.keys()) + ) + ) + return {name: outputs[key] for key, name in self._outputs.items()} + + def _from_list(): + if not isinstance(outputs, list): + raise ValueError( + "Failed to save outputs of node {}.\n" + "The node definition contains a list of " + "outputs {}, whereas the node function " + "returned a `{}`.".format( + str(self), self._outputs, type(outputs).__name__ + ) + ) + if len(outputs) != len(self._outputs): + raise ValueError( + "Failed to save outputs of node {}.\n" + "The node function returned {} output(s), " + "whereas the node definition contains {} " + "output(s).".format(str(self), len(outputs), len(self._outputs)) + ) + + return dict(zip(self._outputs, outputs)) + + if isinstance(self._outputs, dict) and not isinstance(outputs, dict): + raise ValueError( + "Failed to save outputs of node {}.\n" + "The node output is a dictionary, whereas the " + "function output is not.".format(str(self)) + ) + + if self._outputs is None: + return {} + if isinstance(self._outputs, str): + return {self._outputs: outputs} + if isinstance(self._outputs, dict): + return _from_dict() + return _from_list() + + def _validate_inputs(self, func, inputs): + # inspect does not support built-in Python functions written in C. + # Thus we only validate func if it is not built-in. + if not inspect.isbuiltin(func): + args, kwargs = self._process_inputs_for_bind(inputs) + try: + inspect.signature(func).bind(*args, **kwargs) + except Exception as exc: + func_args = inspect.signature(func).parameters.keys() + raise TypeError( + "Inputs of function expected {}, but got {}".format( + str(list(func_args)), str(inputs) + ) + ) from exc + + @staticmethod + def _process_inputs_for_bind(inputs: Union[None, str, List[str], Dict[str, str]]): + # Safeguard that we do not mutate list inputs + inputs = copy.copy(inputs) + args = [] + kwargs = {} + if isinstance(inputs, str): + args = [inputs] + elif isinstance(inputs, list): + args = inputs + elif isinstance(inputs, dict): + kwargs = inputs + return args, kwargs + + def _validate_unique_outputs(self): + diff = Counter(self.outputs) - Counter(set(self.outputs)) + if diff: + raise ValueError( + "Failed to create node {} due to duplicate" + " output(s) {}.\nNode outputs must be unique.".format( + str(self), set(diff.keys()) + ) + ) + + def _validate_inputs_dif_than_outputs(self): + common_in_out = set(self.inputs).intersection(set(self.outputs)) + if common_in_out: + raise ValueError( + "Failed to create node {}.\n" + "A node cannot have the same inputs and outputs: " + "{}".format(str(self), common_in_out) + ) + + def __str__(self): + def _sorted_set_to_str(xset): + return "[" + ",".join([name for name in sorted(xset)]) + "]" + + out_str = _sorted_set_to_str(self.outputs) if self._outputs else "None" + in_str = _sorted_set_to_str(self.inputs) if self._inputs else "None" + + prefix = self._name + ": " if self._name else "" + return prefix + "{}({}) -> {}".format(self._func.__name__, in_str, out_str) + + def __repr__(self): # pragma: no cover + return "Node({}, {!r}, {!r}, {!r})".format( + self._func.__name__, self._inputs, self._outputs, self._name + ) + + def __eq__(self, other): # pragma: no cover + keys = {"_inputs", "_outputs", "_func", "_name"} + return all(self.__dict__[k] == other.__dict__[k] for k in keys) + + def __hash__(self): + return hash((tuple(self.inputs), tuple(self.outputs), self._name)) + + +def _node_error_message(msg) -> str: + return ( + "Invalid Node definition: {}\n" + "Format should be: node(function, inputs, outputs)" + ).format(msg) + + +def node( # pylint: disable=W9016 + func: Callable, + inputs: Union[None, str, List[str], Dict[str, str]], + outputs: Union[None, str, List[str], Dict[str, str]], + *, + name: str = None, + tags: Iterable[str] = None +) -> Node: + """Create a node in the pipeline by providing a function to be called + along with variable names for inputs and/or outputs. + + Args: + func: A function that corresponds to the node logic. The function + should have at least one input or output. + inputs: The name or the list of the names of variables used as inputs + to the function. The number of names should match the number of + arguments in the definition of the provided function. When + Dict[str, str] is provided, variable names will be mapped to + function argument names. + outputs: The name or the list of the names of variables used as outputs + to the function. The number of names should match the number of + outputs returned by the provided function. When Dict[str, str] + is provided, variable names will be mapped to the named outputs the + function returns. + name: Optional node name to be used when displaying the node in logs or + any other visualisations. + tags: Optional set of tags to be applied to the node. + + Returns: + A Node object with mapped inputs, outputs and function. + + Example: + :: + + >>> import pandas as pd + >>> import numpy as np + >>> + >>> def clean_data(cars: pd.DataFrame, + >>> boats: pd.DataFrame) -> Dict[str, pd.DataFrame]: + >>> return dict(cars_df=cars.dropna(), boats_df=boats.dropna()) + >>> + >>> def halve_dataframe(data: pd.DataFrame) -> List[pd.DataFrame]: + >>> return np.array_split(data, 2) + >>> + >>> nodes = [ + >>> node(clean_data, + >>> inputs=['cars2017', 'boats2017'], + >>> outputs=dict(cars_df='clean_cars2017', + >>> boats_df='clean_boats2017')), + >>> node(halve_dataframe, + >>> 'clean_cars2017', + >>> ['train_cars2017', 'test_cars2017']), + >>> node(halve_dataframe, + >>> dict(data='clean_boats2017'), + >>> ['train_boats2017', 'test_boats2017']) + >>> ] + """ + return Node(func, inputs, outputs, name=name, tags=tags) diff --git a/kedro/pipeline/pipeline.py b/kedro/pipeline/pipeline.py new file mode 100644 index 0000000000..b6e115b449 --- /dev/null +++ b/kedro/pipeline/pipeline.py @@ -0,0 +1,659 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""A ``Pipeline`` is a collection of ``Node`` objects which can be executed as +a Directed Acyclic Graph, sequentially or in parallel. The ``Pipeline`` class +offers quick access to input dependencies, +produced outputs and execution order. +""" + +import copy +import json +import logging +from collections import Counter, defaultdict +from itertools import chain +from typing import Callable, Dict, Iterable, List, Set, Tuple, Union + +from toposort import CircularDependencyError as ToposortCircleError +from toposort import toposort + +import kedro +from kedro.pipeline.node import Node + + +class OutputNotUniqueError(Exception): + """Raised when two or more nodes that are part of the same pipeline + produce outputs with the same name. + """ + + pass + + +class Pipeline: + """A ``Pipeline`` defined as a collection of ``Node`` objects. This class + treats nodes as part of a graph representation and provides inputs, + outputs and execution order. + """ + + def __init__(self, nodes: Iterable[Union[Node, "Pipeline"]], name: str = None): + """Initialise ``Pipeline`` with a list of ``Node`` instances. + + Args: + nodes: The list of nodes the ``Pipeline`` will be made of. If you + provide pipelines among the list of nodes, those pipelines will + be expanded and all their nodes will become part of this + new pipeline. + name: The name of the pipeline. If specified, this name + will be used to tag all of the nodes in the pipeline. + Raises: + ValueError: + When an empty list of nodes is provided, or when not all + nodes have unique names. + CircularDependencyError: + When visiting all the nodes is not + possible due to the existence of a circular dependency. + OutputNotUniqueError: + When multiple ``Node`` instances produce the same output. + Example: + :: + + >>> from kedro.pipeline import Pipeline + >>> from kedro.pipeline import node + >>> + >>> # In the following scenario first_ds and second_ds + >>> # are data sets provided by io. Pipeline will pass these + >>> # data sets to first_node function and provides the result + >>> # to the second_node as input. + >>> + >>> def first_node(first_ds, second_ds): + >>> return dict(third_ds=first_ds+second_ds) + >>> + >>> def second_node(third_ds): + >>> return third_ds + >>> + >>> pipeline = Pipeline([ + >>> node(first_node, ['first_ds', 'second_ds'], ['third_ds']), + >>> node(second_node, dict(third_ds='third_ds'), 'fourth_ds')]) + >>> + >>> pipeline.describe() + >>> + + """ + _validate_no_node_list(nodes) + nodes = list( + chain.from_iterable( + [[n] if isinstance(n, Node) else n.nodes for n in nodes] + ) + ) + _validate_duplicate_nodes(nodes) + + if name: + nodes = [n.tag([name]) for n in nodes] + self._name = name + self._logger = logging.getLogger(__name__) + self._nodes_by_name = {node.name: node for node in nodes} + _validate_unique_outputs(nodes) + + self._nodes_by_input = defaultdict(set) # input: {nodes with input} + for node in nodes: + for input_ in node.inputs: + self._nodes_by_input[input_].add(node) + + self._nodes_by_output = {} # output: node + for node in nodes: + for output in node.outputs: + self._nodes_by_output[output] = node + + self._topo_sorted_nodes = _topologically_sorted(nodes) + + def all_inputs(self) -> Set[str]: + """All inputs for all nodes in the pipeline. + + Returns: + All node input names as a Set. + + """ + return set.union(set(), *[node.inputs for node in self.nodes]) + + def all_outputs(self) -> Set[str]: + """All outputs of all nodes in the pipeline. + + Returns: + All node outputs. + + """ + return set.union(set(), *[node.outputs for node in self.nodes]) + + def inputs(self) -> Set[str]: + """The names of free inputs that must be provided at runtime so that + the pipeline is runnable. Does not include intermediate inputs which + are produced and consumed by the inner pipeline nodes. + + Returns: + The set of free input names needed by the pipeline. + + """ + return self.all_inputs() - self.all_outputs() + + def outputs(self) -> Set[str]: + """The names of outputs produced when the whole pipeline is run. + Does not include intermediate outputs that are consumed by + other pipeline nodes. + + Returns: + The set of final pipeline outputs. + + """ + return self.all_outputs() - self.all_inputs() + + def data_sets(self) -> Set[str]: + """The names of all data sets used by the ``Pipeline``, + including inputs and outputs. + + Returns: + The set of all pipeline data sets. + + """ + return self.all_outputs() | self.all_inputs() + + def describe(self, names_only: bool = True) -> str: + """Obtain the order of execution and expected free input variables in + a loggable pre-formatted string. The order of nodes matches the order + of execution given by the topological sort. + + Args: + names_only: The flag to describe names_only pipeline with just + node names. + + Example: + :: + + >>> pipeline = Pipeline([ ... ]) + >>> + >>> logger = logging.getLogger(__name__) + >>> + >>> logger.info(pipeline.describe()) + + After invocation the following will be printed as an info level log + statement: + :: + + #### Pipeline execution order #### + Inputs: C, D + + func1([C]) -> [A] + func2([D]) -> [B] + func3([A, D]) -> [E] + + Outputs: B, E + ################################## + + Returns: + The pipeline description as a formatted string. + + """ + + def set_to_string(set_of_strings): + """Convert set to a string but return 'None' in case of an empty + set. + """ + return ", ".join(sorted(set_of_strings)) if set_of_strings else "None" + + nodes_as_string = "\n".join( + node.name if names_only else str(node) for node in self.nodes + ) + + str_representation = ( + "#### Pipeline execution order ####\n" + "Name: {0}\n" + "Inputs: {1}\n\n" + "{2}\n\n" + "Outputs: {3}\n" + "##################################" + ) + + return str_representation.format( + self._name, + set_to_string(self.inputs()), + nodes_as_string, + set_to_string(self.outputs()), + ) + + @property + def name(self) -> str: + """Get the pipeline name. + + Returns: + The name of the pipeline as provided in the constructor. + + """ + return self._name + + @property + def nodes(self) -> List[Node]: + """Return a list of the pipeline nodes in topological order, i.e. if + node A needs to be run before node B, it will appear earlier in the + list. + + Returns: + The list of all pipeline nodes in topological order. + + """ + return copy.copy(list(chain.from_iterable(self._topo_sorted_nodes))) + + @property + def grouped_nodes(self) -> List[List[Node]]: + """Return a list of the pipeline nodes in topologically ordered groups, + i.e. if node A needs to be run before node B, it will appear in an + earlier group. + + Returns: + The pipeline nodes in topologically ordered groups. + + """ + return copy.copy(self._topo_sorted_nodes) + + def only_nodes(self, *node_names: str) -> "Pipeline": + """Create a new ``Pipeline`` which will contain only the specified + nodes by name. + + Args: + node_names: One or more node names. The returned ``Pipeline`` + will only contain these nodes. + + Raises: + ValueError: When some invalid node name is given. + + Returns: + A new ``Pipeline``, containing only ``nodes``. + + """ + unregistered_nodes = set(node_names) - set(self._nodes_by_name.keys()) + if unregistered_nodes: + raise ValueError( + "Pipeline does not contain nodes named {}.".format( + list(unregistered_nodes) + ) + ) + + nodes = [self._nodes_by_name[name] for name in node_names] + return Pipeline(nodes) + + def only_nodes_with_inputs(self, *inputs: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes which depend + directly on the provided inputs. + + Args: + inputs: A list of inputs which should be used as a starting + point of the new ``Pipeline``. + + Raises: + ValueError: Raised when any of the given inputs do not exist in the + ``Pipeline`` object. + + Returns: + A new ``Pipeline`` object, containing a subset of the + nodes of the current one such that only nodes depending + directly on the provided inputs are being copied. + + """ + starting = set(inputs) + + missing = sorted(starting - self.data_sets()) + if missing: + raise ValueError( + "Pipeline does not contain data_sets named {}".format(missing) + ) + + nodes = set( + chain.from_iterable(self._nodes_by_input[input_] for input_ in starting) + ) + + return Pipeline(nodes) + + def from_inputs(self, *inputs: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes which depend + directly or transitively on the provided inputs. + + Args: + inputs: A list of inputs which should be used as a starting point + of the new ``Pipeline`` + + Raises: + ValueError: Raised when any of the given inputs do not exist in the + ``Pipeline`` object. + + Returns: + A new ``Pipeline`` object, containing a subset of the + nodes of the current one such that only nodes depending + directly or transitively on the provided inputs are being + copied. + + """ + starting = set(inputs) + + missing = sorted(starting - self.data_sets()) + if missing: + raise ValueError( + "Pipeline does not contain data_sets named {}".format(missing) + ) + + all_nodes = set() + while True: + nodes = set( + chain.from_iterable(self._nodes_by_input[input_] for input_ in starting) + ) + + outputs = set(chain.from_iterable(node.outputs for node in nodes)) + + starting = outputs + all_nodes |= nodes + if not nodes: + break + + return Pipeline(all_nodes) + + def only_nodes_with_outputs(self, *outputs: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes which are directly + required to produce the provided outputs. + + Args: + outputs: A list of outputs which should be the final outputs + of the new ``Pipeline``. + + Raises: + ValueError: Raised when any of the given outputs do not exist in + the ``Pipeline`` object. + + Returns: + A new ``Pipeline`` object, containing a subset of the nodes of the + current one such that only nodes which are directly required to + produce the provided outputs are being copied. + """ + starting = set(outputs) + + missing = sorted(starting - self.data_sets()) + if missing: + raise ValueError( + "Pipeline does not contain data_sets named {}".format(missing) + ) + + nodes = { + self._nodes_by_output[output] + for output in starting + if output in self._nodes_by_output + } + + return Pipeline(nodes) + + def to_outputs(self, *outputs: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes which are directly + or transitively required to produce the provided outputs. + + Args: + outputs: A list of outputs which should be the final outputs of + the new ``Pipeline``. + + Raises: + ValueError: Raised when any of the given outputs do not exist in + the ``Pipeline`` object. + + Returns: + A new ``Pipeline`` object, containing a subset of the nodes of the + current one such that only nodes which are directly or transitively + required to produce the provided outputs are being copied. + + """ + starting = set(outputs) + + missing = sorted(starting - self.data_sets()) + if missing: + raise ValueError( + "Pipeline does not contain data_sets named {}".format(missing) + ) + + all_nodes = set() + while True: + nodes = { + self._nodes_by_output[output] + for output in starting + if output in self._nodes_by_output + } + + inputs = set(chain.from_iterable(node.inputs for node in nodes)) + + starting = inputs + all_nodes |= nodes + if not nodes: + break + + return Pipeline(all_nodes) + + def from_nodes(self, *node_names: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes which depend + directly or transitively on the provided nodes. + + Args: + node_names: A list of node_names which should be used as a + starting point of the new ``Pipeline``. + Raises: + ValueError: Raised when any of the given names do not exist in the + ``Pipeline`` object. + Returns: + A new ``Pipeline`` object, containing a subset of the nodes of + the current one such that only nodes depending directly or + transitively on the provided nodes are being copied. + + """ + + res = self.only_nodes(*node_names) + res += self.from_inputs(*res.all_outputs()) + return res + + def to_nodes(self, *node_names: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes required directly + or transitively by the provided nodes. + + Args: + node_names: A list of node_names which should be used as a + starting point of the new ``Pipeline``. + Raises: + ValueError: Raised when any of the given names do not exist in the + ``Pipeline`` object. + Returns: + A new ``Pipeline`` object, containing a subset of the nodes of the + current one such that only nodes required directly or + transitively by the provided nodes are being copied. + + """ + + res = self.only_nodes(*node_names) + res += self.to_outputs(*res.all_inputs()) + return res + + def only_nodes_with_tags(self, *tags: str) -> "Pipeline": + """Create a new ``Pipeline`` object with the nodes which contain *any* + of the provided tags. The resulting ``Pipeline`` is empty if no tags + are provided. + + Args: + tags: A list of node tags which should be used to lookup + the nodes of the new ``Pipeline``. + Returns: + Pipeline: A new ``Pipeline`` object, containing a subset of the + nodes of the current one such that only nodes containing *any* + of the tags provided are being copied. + """ + tags = set(tags) + nodes = [node for node in self.nodes if tags & node.tags] + return Pipeline(nodes) + + @property + def node_dependencies(self) -> Set[Tuple[Node, Node]]: + """All pairs of nodes where the first Node has a direct dependency on + the second Node. + + Returns: + Pairs of dependent nodes + """ + deps = set() + for parent in self.nodes: + for output in parent.outputs: + for child in self._nodes_by_input[output]: + deps.add((child, parent)) + return deps + + def decorate(self, *decorators: Callable) -> "Pipeline": + """Create a new ``Pipeline`` by applying the provided decorators to + all the nodes in the pipeline. If no decorators are passed, it will + return a copy of the current ``Pipeline`` object. + + Args: + decorators: List of decorators to be applied on + all node functions in the pipeline. Decorators will be applied + from right to left. + + Returns: + A new ``Pipeline`` object with all nodes decorated with the + provided decorators. + + """ + nodes = [node.decorate(*decorators) for node in self.nodes] + return Pipeline(nodes) + + def __repr__(self): # pragma: no cover + reprs = [repr(node) for node in self.nodes] + return "{}([\n{}\n])".format(self.__class__.name, ",\n".join(reprs)) + + def to_json(self): + """Return a json representation of the pipeline.""" + transformed = [ + { + "name": n.name, + "inputs": list(n.inputs), + "outputs": list(n.outputs), + "tags": list(n.tags), + } + for n in self.nodes + ] + pipeline_versioned = { + "kedro_version": kedro.__version__, + "pipeline": transformed, + } + + return json.dumps(pipeline_versioned) + + def __add__(self, other): + if not isinstance(other, Pipeline): + return NotImplemented + return Pipeline(set(self.nodes + other.nodes)) + + +def _validate_no_node_list(nodes: Iterable[Node]): + if nodes is None: + raise ValueError( + "`nodes` argument of `Pipeline` is None. " + "Must be a list of nodes instead." + ) + + +def _validate_duplicate_nodes(nodes: List[Node]): + names = [node.name for node in nodes] + duplicate = [key for key, value in Counter(names).items() if value > 1] + if duplicate: + raise ValueError( + "Pipeline nodes must have unique names. The " + "following node names appear more than once: {}\n" + "You can name your nodes using the last argument " + "of `node()`.".format(duplicate) + ) + + +def _validate_unique_outputs(nodes: List[Node]) -> None: + outputs_list = list(chain.from_iterable(node.outputs for node in nodes)) + counter_list = Counter(outputs_list) + counter_set = Counter(set(outputs_list)) + diff = counter_list - counter_set + if diff: + raise OutputNotUniqueError( + "Output(s) %s are returned by " + "more than one nodes. Node " + "outputs must be unique." % str(list(sorted(diff.keys()))) + ) + + +def _topologically_sorted(nodes) -> List[List[Node]]: + """Topologically group and sort (order) nodes such that no node depends on + a node that appears in the same or a later group. + + Raises: + CircularDependencyError: When it is not possible to topologically order + provided nodes. + + Returns: + The list of nodes in order of execution. + + """ + + def _circle_error_message(error_data: Dict[str, str]) -> str: + """Error messages provided by the toposort library will + refer to indices that are used as an intermediate step. + This method can be used to replace that message with + one that refers to the nodes' string representations. + """ + indices = error_data.keys() + circular = [str(nodes[int(index)]) for index in indices] + return "Circular dependencies exist among these items: {}".format(circular) + + output_to_node = dict() + for node_id, node in enumerate(nodes): + for output_id in node.outputs: + output_to_node[output_id] = node_id + + toposort_ready = dict() + for node_id, node in enumerate(nodes): + toposort_ready[node_id] = set() + for input_id in node.inputs: + if input_id in output_to_node: + toposort_ready[node_id].add(output_to_node[input_id]) + + try: + toposorted = list(toposort(toposort_ready)) + except ToposortCircleError as error: + message = _circle_error_message(error.data) + raise CircularDependencyError(message) from error + + return [[nodes[idx] for idx in sorted(group)] for group in toposorted] + + +class CircularDependencyError(Exception): + """Raised when it is not possible to provide a topological execution + order for nodes, due to a circular dependency existing in the node + definition. + """ + + pass diff --git a/kedro/runner/__init__.py b/kedro/runner/__init__.py new file mode 100644 index 0000000000..dd4cb9d173 --- /dev/null +++ b/kedro/runner/__init__.py @@ -0,0 +1,35 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``kedro.runner`` provides runners that are able +to execute ``Pipeline`` instances. +""" + +from .parallel_runner import ParallelRunner # NOQA +from .runner import AbstractRunner, run_node # NOQA +from .sequential_runner import SequentialRunner # NOQA diff --git a/kedro/runner/parallel_runner.py b/kedro/runner/parallel_runner.py new file mode 100644 index 0000000000..876c12bd39 --- /dev/null +++ b/kedro/runner/parallel_runner.py @@ -0,0 +1,175 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``ParallelRunner`` is an ``AbstractRunner`` implementation. It can +be used to run the ``Pipeline`` in parallel groups formed by toposort. +""" + +from concurrent.futures import FIRST_COMPLETED, ProcessPoolExecutor, wait +from multiprocessing.managers import BaseManager, BaseProxy +from multiprocessing.reduction import ForkingPickler +from pickle import PicklingError +from typing import Iterable + +from kedro.io import AbstractDataSet, DataCatalog, MemoryDataSet +from kedro.pipeline import Pipeline +from kedro.pipeline.node import Node +from kedro.runner.runner import AbstractRunner, run_node + + +class ParallelRunnerManager(BaseManager): + """``ParallelRunnerManager`` is used to create shared ``MemoryDataSet`` + objects as default data sets in a pipeline. + """ + + pass + + +ParallelRunnerManager.register("MemoryDataSet", MemoryDataSet) + + +class ParallelRunner(AbstractRunner): + """``ParallelRunner`` is an ``AbstractRunner`` implementation. It can + be used to run the ``Pipeline`` in parallel groups formed by toposort. + """ + + def __init__(self): + """Instantiates the runner by creating a Manager. + """ + self._manager = ParallelRunnerManager() + self._manager.start() + + def create_default_data_set(self, ds_name: str, max_loads: int) -> AbstractDataSet: + """Factory method for creating the default data set for the runner. + + Args: + ds_name: Name of the missing data set + max_loads: Maximum number of times ``load`` method of the + default data set is allowed to be invoked. Any number of + calls is allowed if the argument is not set. + + Returns: + An instance of an implementation of AbstractDataSet to be used + for all unregistered data sets. + + """ + # pylint: disable=no-member + return self._manager.MemoryDataSet(max_loads=max_loads) + + @classmethod + def _validate_nodes(cls, nodes: Iterable[Node]): + """Ensure all tasks are serializable.""" + unserializable = [] + for node in nodes: + try: + ForkingPickler.dumps(node) + except (AttributeError, PicklingError): + unserializable.append(node) + + if unserializable: + raise AttributeError( + "The following nodes cannot be serialized: {}\nIn order to " + "utilize multiprocessing you need to make sure all nodes are " + "serializable, i.e. nodes should not include lambda " + "functions, nested functions, closures, etc.\nIf you " + "are using custom decorators ensure they are correctly using " + "functools.wraps().".format(unserializable) + ) + + @classmethod + def _validate_catalog(cls, catalog: DataCatalog, pipeline: Pipeline): + """Ensure that all data sets are serializable and that we do not have + any non proxied memory data sets being used as outputs as their content + will not be synchronized across threads. + """ + + data_sets = catalog._data_sets # pylint: disable=protected-access + + unserializable = [] + for name, data_set in data_sets.items(): + try: + ForkingPickler.dumps(data_set) + except (AttributeError, PicklingError): + unserializable.append(name) + + if unserializable: + raise AttributeError( + "The following data_sets cannot be serialized: {}\nIn order " + "to utilize multiprocessing you need to make sure all data " + "sets are serializable, i.e. data sets should not make use of " + "lambda functions, nested functions, closures etc.\nIf you " + "are using custom decorators ensure they are correctly using " + "functools.wraps().".format(unserializable) + ) + + memory_data_sets = [] + for name, data_set in data_sets.items(): + if ( + name in pipeline.all_outputs() + and isinstance(data_set, MemoryDataSet) + and not isinstance(data_set, BaseProxy) + ): + memory_data_sets.append(name) + + if memory_data_sets: + raise AttributeError( + "The following data sets are memory data sets: {}\n" + "ParallelRunner does not support output to externally created " + "MemoryDataSets".format(memory_data_sets) + ) + + def _run(self, pipeline: Pipeline, catalog: DataCatalog) -> None: + """The abstract interface for running pipelines. + + Args: + pipeline: The ``Pipeline`` to run. + catalog: The ``DataCatalog`` from which to fetch data. + + Raises: + AttributeError: when the provided pipeline is not suitable for + parallel execution. + + """ + + self._validate_catalog(catalog, pipeline) + self._validate_nodes(pipeline.nodes) + + done_inputs = pipeline.inputs() + todo_nodes = set(pipeline.nodes) + futures = set() + with ProcessPoolExecutor() as pool: + while True: + ready = {n for n in todo_nodes if set(n.inputs) <= done_inputs} + todo_nodes -= ready + for node in ready: + futures.add(pool.submit(run_node, node, catalog)) + if not futures: + assert not todo_nodes + break + done, futures = wait(futures, return_when=FIRST_COMPLETED) + for future in done: + done_inputs.update(future.result().outputs) diff --git a/kedro/runner/runner.py b/kedro/runner/runner.py new file mode 100644 index 0000000000..e596fced19 --- /dev/null +++ b/kedro/runner/runner.py @@ -0,0 +1,170 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``AbstractRunner`` is the base class for all ``Pipeline`` runner +implementations. +""" + +import logging +from abc import ABC, abstractmethod +from typing import Any, Dict + +from kedro.io import AbstractDataSet, DataCatalog +from kedro.pipeline import Pipeline +from kedro.pipeline.node import Node + + +class AbstractRunner(ABC): + """``AbstractRunner`` is the base class for all ``Pipeline`` runner + implementations. + """ + + @property + def _logger(self): + return logging.getLogger(self.__module__) + + def run(self, pipeline: Pipeline, catalog: DataCatalog) -> Dict[str, Any]: + """Run the ``Pipeline`` using the ``DataSet``s provided by ``catalog`` + and save results back to the same objects. + + Args: + pipeline: The ``Pipeline`` to run. + catalog: The ``DataCatalog`` from which to fetch data. + + Raises: + ValueError: Raised when ``Pipeline`` inputs cannot be satisfied. + + Returns: + Any node outputs that cannot be processed by the ``DataCatalog``. + These are returned in a dictionary, where the keys are defined + by the node outputs. + + """ + + catalog = catalog.shallow_copy() + + unsatisfied = pipeline.inputs() - set(catalog.list()) + if unsatisfied: + raise ValueError( + "Pipeline input(s) {} not found in the " + "DataCatalog".format(unsatisfied) + ) + + free_outputs = pipeline.outputs() - set(catalog.list()) + unregistered_ds = pipeline.data_sets() - set(catalog.list()) + for ds_name in unregistered_ds: + num_loads = len(pipeline.only_nodes_with_inputs(ds_name).nodes) + num_loads = num_loads if num_loads > 0 else None + catalog.add(ds_name, self.create_default_data_set(ds_name, num_loads)) + + self._run(pipeline, catalog) + + self._logger.info("Pipeline execution completed successfully.") + + return {ds_name: catalog.load(ds_name) for ds_name in free_outputs} + + def run_only_missing( + self, pipeline: Pipeline, catalog: DataCatalog + ) -> Dict[str, Any]: + """Run only the missing outputs from the ``Pipeline`` using the + ``DataSet``s provided by ``catalog`` and save results back to the same + objects. + + Args: + pipeline: The ``Pipeline`` to run. + catalog: The ``DataCatalog`` from which to fetch data. + Raises: + ValueError: Raised when ``Pipeline`` inputs cannot be satisfied. + + Returns: + Any node outputs that cannot be processed by the ``DataCatalog``. + These are returned in a dictionary, where the keys are defined + by the node outputs. + + """ + free_outputs = pipeline.outputs() - set(catalog.list()) + missing = {ds for ds in catalog.list() if not catalog.exists(ds)} + to_build = free_outputs | missing + to_rerun = pipeline.only_nodes_with_outputs(*to_build) + pipeline.from_inputs( + *to_build + ) + + # we also need any memory data sets that feed into that + # including chains of memory data sets + memory_sets = pipeline.data_sets() - set(catalog.list()) + output_to_memory = pipeline.only_nodes_with_outputs(*memory_sets) + input_from_memory = to_rerun.inputs() & memory_sets + to_rerun += output_to_memory.to_outputs(*input_from_memory) + + return self.run(to_rerun, catalog) + + @abstractmethod # pragma: no cover + def _run(self, pipeline: Pipeline, catalog: DataCatalog) -> None: + """The abstract interface for running pipelines, assuming that the + inputs have already been checked and normalized by run(). + + Args: + pipeline: The ``Pipeline`` to run. + catalog: The ``DataCatalog`` from which to fetch data. + + """ + pass + + @abstractmethod # pragma: no cover + def create_default_data_set(self, ds_name: str, max_loads: int) -> AbstractDataSet: + """Factory method for creating the default data set for the runner. + + Args: + ds_name: Name of the missing data set + max_loads: Maximum number of times ``load`` method of the + default data set is allowed to be invoked. Any number of + calls is allowed if the argument is not set. + + Returns: + An instance of an implementation of AbstractDataSet to be + used for all unregistered data sets. + + """ + pass + + +def run_node(node: Node, catalog: DataCatalog) -> Node: + """Run a single `Node` with inputs from and outputs to the `catalog`. + + Args: + node: The ``Node`` to run. + catalog: A ``DataCatalog`` containing the node's inputs and outputs. + + Returns: + The node argument. + + """ + inputs = {name: catalog.load(name) for name in node.inputs} + outputs = node.run(inputs) + for name, data in outputs.items(): + catalog.save(name, data) + return node diff --git a/kedro/runner/sequential_runner.py b/kedro/runner/sequential_runner.py new file mode 100644 index 0000000000..22a66e353b --- /dev/null +++ b/kedro/runner/sequential_runner.py @@ -0,0 +1,73 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""``SequentialRunner`` is an ``AbstractRunner`` implementation. It can be +used to run the ``Pipeline`` in a sequential manner using a topological sort +of provided nodes. +""" + +from kedro.io import AbstractDataSet, DataCatalog, MemoryDataSet +from kedro.pipeline import Pipeline +from kedro.runner.runner import AbstractRunner, run_node + + +class SequentialRunner(AbstractRunner): + """``SequentialRunner`` is an ``AbstractRunner`` implementation. It can + be used to run the ``Pipeline`` in a sequential manner using a + topological sort of provided nodes. + """ + + def create_default_data_set(self, ds_name: str, max_loads: int) -> AbstractDataSet: + """Factory method for creating the default data set for the runner. + + Args: + ds_name: Name of the missing data set + max_loads: Maximum number of times ``load`` method of the + default data set is allowed to be invoked. Any number of + calls is allowed if the argument is not set. + + Returns: + An instance of an implementation of AbstractDataSet to be used + for all unregistered data sets. + + """ + return MemoryDataSet(max_loads=max_loads) + + def _run(self, pipeline: Pipeline, catalog: DataCatalog) -> None: + """The method implementing sequential pipeline running. + + Args: + pipeline: The ``Pipeline`` to run. + catalog: The ``DataCatalog`` from which to fetch data. + + """ + nodes = pipeline.nodes + for exec_index, node in enumerate(nodes): + run_node(node, catalog) + self._logger.info( + "Completed %d out of %d tasks", exec_index + 1, len(nodes) + ) diff --git a/kedro/template/cookiecutter.json b/kedro/template/cookiecutter.json new file mode 100644 index 0000000000..406612a8b3 --- /dev/null +++ b/kedro/template/cookiecutter.json @@ -0,0 +1,7 @@ +{ + "project_name": "default", + "repo_name": "{{ cookiecutter.project_name }}", + "python_package": "{{ cookiecutter.repo_name }}", + "kedro_version": "{{ cookiecutter.kedro_version }}", + "include_example": "{{ cookiecutter.include_example }}" +} diff --git a/kedro/template/default_config.yml b/kedro/template/default_config.yml new file mode 100644 index 0000000000..c79cf580b9 --- /dev/null +++ b/kedro/template/default_config.yml @@ -0,0 +1,5 @@ +output_dir: ~/code +project_name: Chess Master +repo_name: project-chess-master +python_package: project_chess_master +include_example: False diff --git a/kedro/template/{{ cookiecutter.repo_name }}/.coveragerc b/kedro/template/{{ cookiecutter.repo_name }}/.coveragerc new file mode 100644 index 0000000000..003c131200 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/.coveragerc @@ -0,0 +1,6 @@ +[report] +fail_under=0 +show_missing=True +exclude_lines = + pragma: no cover + raise NotImplementedError diff --git a/kedro/template/{{ cookiecutter.repo_name }}/.gitignore b/kedro/template/{{ cookiecutter.repo_name }}/.gitignore new file mode 100644 index 0000000000..b16f7747d9 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/.gitignore @@ -0,0 +1,161 @@ +########################## +# KEDRO PROJECT + +# ignore all local configuration +conf/local/** +!conf/local/.gitkeep + +# ignore potentially sensitive credentials files +conf/**/*credentials* + +# ignore everything in the following folders +data/** +logs/** +references/** +results/** + +# except their sub-folders +!data/**/ +!logs/**/ +!references/**/ +!results/**/ + +# also keep all .gitkeep files +!.gitkeep + +# keep also the example dataset +!data/01_raw/iris.csv + + +########################## +# Common files + +# IntelliJ +.idea/ +*.iml +out/ +.idea_modules/ + +### macOS +*.DS_Store +.AppleDouble +.LSOverride +.Trashes + +# Vim +*~ +.*.swo +.*.swp + +# emacs +*~ +\#*\# +/.emacs.desktop +/.emacs.desktop.lock +*.elc + +# JIRA plugin +atlassian-ide-plugin.xml + +# C extensions +*.so + +### Python template +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +.static_storage/ +.media/ +local_settings.py + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +.ipython/profile_default/history.sqlite +.ipython/profile_default/startup/README + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ diff --git a/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py b/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py new file mode 100644 index 0000000000..d2714406ee --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py @@ -0,0 +1,66 @@ +import logging.config +import os + +from IPython.core.magic import register_line_magic + + +@register_line_magic +def reload_kedro(line=None): + """"Line magic which reloads all Kedro default variables.""" + global proj_dir + global proj_name + global conf + global io + global startup_error + try: + import kedro.config.default_logger + from {{cookiecutter.python_package}}.run import create_catalog, get_config + + proj_name = "{{cookiecutter.project_name}}" + logging.info("** Kedro project {}".format(proj_name)) + + os.chdir(proj_dir) # Move to project root + + # Load Kedro context (conf, io, parameters) + conf = get_config(proj_dir) + io = create_catalog(conf) + + logging.info("Defined global variables proj_dir, proj_name, conf and io") + except ImportError as err: + startup_error = err + if "create_catalog" in str(err): + message = ( + "The function `create_catalog` is missing from " + "{{cookiecutter.repo_name}}/src/" + "{{cookiecutter.python_package}}/run.py." + "\nEither restore this function, or update " + "{{cookiecutter.repo_name}}/" + ".ipython/profile_default/startup/00-kedro-init.py." + ) + elif "get_config" in str(err): + message = ( + "The function `get_config` is missing from " + "{{cookiecutter.repo_name}}/src/" + "{{cookiecutter.python_package}}/run.py." + "\nEither restore this function, or update " + "{{cookiecutter.repo_name}}/" + ".ipython/profile_default/startup/00-kedro-init.py." + ) + else: + message = ( + "Kedro appears not to be installed in your " "current environment." + ) + logging.error(message) + raise err + except Exception as err: + startup_error = err + logging.error("Kedro's ipython session startup script failed:\n%s", str(err)) + raise err + + +# Find the project root (./../../../) +startup_error = None +proj_dir = os.path.abspath( + os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, os.pardir) +) +reload_kedro() diff --git a/kedro/template/{{ cookiecutter.repo_name }}/.isort.cfg b/kedro/template/{{ cookiecutter.repo_name }}/.isort.cfg new file mode 100644 index 0000000000..590d4b2b7c --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/.isort.cfg @@ -0,0 +1,7 @@ +[settings] +multi_line_output=3 +include_trailing_comma=True +force_grid_wrap=0 +use_parentheses=True +line_length=88 +known_third_party=kedro diff --git a/kedro/template/{{ cookiecutter.repo_name }}/README.md b/kedro/template/{{ cookiecutter.repo_name }}/README.md new file mode 100644 index 0000000000..81cc86bad0 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/README.md @@ -0,0 +1,110 @@ +# {{ cookiecutter.project_name }} + +## Overview + +This is your new Kedro project, which was generated using `Kedro {{ cookiecutter.kedro_version }}` by running: + +``` +kedro new +``` + +Take a look at the [documentation](https://kedro.readthedocs.io) to get started. + +## Rules and guidelines + +In order to get the best out of the template: + * Please don't remove any lines from the `.gitignore` file provided + * Make sure your results can be reproduced by adding necessary data to `data/01_raw` only + * Don't commit any data to your repository + * Don't commit any credentials or local configuration to your repository + * Keep all credentials or local configuration in `conf/local/` + +## Installing dependencies + +Dependencies should be declared in `src/requirements.txt`. + +To install them, run: + +``` +kedro install +``` + +## Running Kedro + +You can run your Kedro project with: + +``` +kedro run +``` + +## Testing Kedro + +Have a look at the file `src/tests/test_run.py` for instructions on how to write your tests. You can run your tests with the following command: + +``` +kedro test +``` + +To configure the coverage threshold, please have a look at the file `.coveragerc`. + + +### Working with Kedro from notebooks + +In order to use notebooks in your Kedro project, you need to install Jupyter: + +``` + pip install jupyter +``` + +For using Jupyter Lab, you need to install it: + +``` +pip install jupyterlab +``` + +After installing Jupyter, you can start a local notebook server: + +``` +kedro jupyter notebook +``` + +You can also start Jupyter Lab: + +``` +kedro jupyter lab +``` + +And if you want to run an IPython session: + +``` +kedro ipython +``` + +Running Jupyter or IPython this way provides the following variables in +scope: `proj_dir`, `proj_name`, `conf`, `io`, `parameters` and `startup_error`. + +#### Ignoring notebook output cells in `git` + +In order to automatically strip out all output cell contents before committing to `git`, you can run `kedro activate-nbstripout`. This will add a hook in `.git/config` which will run `nbstripout` before anything is committed to `git`. + +> *Note:* Your output cells will be left intact locally. + +## Package the project + +In order to package the project's Python code in `.egg` and / or a `.wheel` file, you can run: + +``` +kedro package +``` + +After running that, you can find the two packages in `src/dist/`. + +## Building API documentation + +To build API docs for your code using Sphinx, run: + +``` +kedro build-docs +``` + +See your documentation by opening `docs/build/html/index.html`. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md b/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md new file mode 100644 index 0000000000..ee8c6103fc --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md @@ -0,0 +1,27 @@ +# What is this for? + +This folder should be used to store configuration files used by Kedro or by separate tools. + +This file can be used to provide users with instructions for how to reproduce local configuration with their own credentials. You can edit the file however you like, but you may wish to retain the information below and add your own section in the section titled **Instructions**. + +## Local configuration + +The `local` folder should be used for configuration that is either user-specific (e.g. IDE configuration) or protected (e.g. security keys). + +> *Note:* Please do not check in any local configuration to version control. + +## Base configuration + +The `base` folder is for shared configuration, such as non-sensitive and project-related configuration that may +be shared across team members. + +WARNING: Please do not put access credentials in the base configuration folder. + +# Instructions + + + + + +# Find out more +You can find out more about configuration from the [user guide documentation](https://kedro.readthedocs.io/04_user_guide/03_configuration.html). diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/catalog.yml b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/catalog.yml new file mode 100644 index 0000000000..9e59fe7d7e --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/catalog.yml @@ -0,0 +1,104 @@ +# Here you can define all your data sets by using simple YAML syntax. +# +# Documentation for this file format can be found in the kedro docs under `Accessing data` +# You can access the kedro docs by running `kedro docs` +{% if cookiecutter.include_example == "True" %} +# +# An example data set definition can look as follows: +# + +#cars.csv: +# type: CSVLocalDataSet # https://kedro.readthedocs.io/en/latest/kedro.io.CSVLocalDataSet.html +# filepath: data/01_raw/company/cars.csv +# load_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html +# sep: ',' +# skiprows: 0 +# # skipfooter: 1 +# # engine: python # Some of the features including skipfooter is only available in python engine +# engine: c # This is a faster option +# na_values: ['#NA', 'NA'] +# save_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html +# index: False +# date_format: '%Y-%m-%d %H:%M' +# decimal: '.' +# +#cars.csv.s3: +# type: CSVS3DataSet # https://kedro.readthedocs.io/en/latest/kedro.io.CSVS3DataSet.html +# filepath: data/02_intermediate/company/cars.csv +# credentials: dev_s3 +# load_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html +# sep: ',' +# skiprows: 5 +# skipfooter: 1 +# na_values: ['#NA', 'NA'] +# index: False +# save_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html +# index: False +# date_format: '%Y-%m-%d %H:%M' +# decimal: '.' +# +#cars.hdf: +# type: HDFLocalDataSet # https://kedro.readthedocs.io/en/latest/kedro.io.HDFLocalDataSet.html +# filepath: data/02_intermediate/cars.hdf +# key: name +# load_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_hdf.html +# columns: ['engine', 'name'] +# save_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_hdf.html +# mode: 'w' # Overwrite even when the file already exists +# # mode: 'a' # Appends or creates a file +# # mode: '+r' # Appends an existing file +# dropna: True +# +#cars.parquet: +# type: ParquetLocalDataSet # https://kedro.readthedocs.io/en/latest/kedro.io.ParquetLocalDataSet.html +# filepath: data/02_intermediate/cars.parquet +# load_args: +# columns: ['name', 'gear','disp', 'wt'] +# save_args: +# compression: 'GZIP' +# +#cars.sql: +# type: SQLTableDataSet # https://kedro.readthedocs.io/en/latest/kedro.io.SQLTableDataSet.html +# credentials: dev_postgres +# table_name: cars +# load_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_table.html +# index_col: ['name'] +# columns: ['name', 'gear'] +# save_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_sql.html +# if_exists: 'replace' +# # if_exists: 'fail' +# # if_exists: 'append' +# +#cars.sql.query: +# type: SQLQueryDataSet # https://kedro.readthedocs.io/en/latest/kedro.io.SQLQueryDataSet.html +# credentials: dev_postgres +# sql: 'select * from cars where gear=4' +# load_args: # https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html +# index_col: ['name'] +# +#car_model.pkl: +# type: PickleLocalDataSet +# filepath: data/06_models/car_model.pkl +# backend: pickle +# +## Templating and reuse +# +#_csv: &csv +# type: kedro.contrib.io.pyspark.spark_data_set.SparkDataSet +# file_format: 'csv' +# load_args: +# header: True +# inferSchema: False +# +#raw_banana_trials: +# <<: *csv +# filepath: "s3a://supermarket/01_raw/Banana/trials.csv" + + + +# This is a data set used by the example pipeline provided with the projected +# template. Please feel free to remove it once you remove the example pipeline. +example_iris_data: + type: CSVLocalDataSet + filepath: data/01_raw/iris.csv +{% endif %} diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml new file mode 100644 index 0000000000..7b584b37ef --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml @@ -0,0 +1,19 @@ + +# Here you can define credentials for different data sets and environment. +# +# THIS FILE MUST BE PLACED IN `conf/local`. DO NOT PUSH THIS FILE TO GitHub. +# +# Example: +# +# dev_s3: +# access_token: token +# access_key: key +# +# prod_s3: +# access_token: token +# access_key: key +# +# dev_sql: +# username: admin +# password: admin + diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml new file mode 100644 index 0000000000..cc27cf9405 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml @@ -0,0 +1,50 @@ +version: 1 +disable_existing_loggers: False +formatters: + simple: + format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + json_formatter: + format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + class: pythonjsonlogger.jsonlogger.JsonFormatter + +handlers: + console: + class: logging.StreamHandler + level: INFO + formatter: simple + stream: ext://sys.stdout + + info_file_handler: + class: logging.handlers.RotatingFileHandler + level: INFO + formatter: simple + filename: logs/info.log + maxBytes: 10485760 # 10MB + backupCount: 20 + encoding: utf8 + delay: True + + error_file_handler: + class: logging.handlers.RotatingFileHandler + level: ERROR + formatter: simple + filename: logs/errors.log + maxBytes: 10485760 # 10MB + backupCount: 20 + encoding: utf8 + delay: True + +loggers: + kedro.io: + level: INFO + handlers: [console, info_file_handler, error_file_handler] + propagate: no + + kedro.pipeline: + level: INFO + handlers: [console, info_file_handler, error_file_handler] + propagate: no + +root: + level: INFO + handlers: [console, info_file_handler, error_file_handler] diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/parameters.yml b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/parameters.yml new file mode 100644 index 0000000000..ee1fc853e2 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/parameters.yml @@ -0,0 +1,8 @@ +{% if cookiecutter.include_example == "True" %} +# Parameters for the example pipeline. Feel free to delete these once you +# remove the example pipeline from pipeline.py and the example nodes in +# nodes/example.py +example_test_data_ratio: 0.2 +example_num_train_iter: 10000 +example_learning_rate: 0.01 +{% endif %} diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/local/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/conf/local/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/01_raw/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/01_raw/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/01_raw/iris.csv b/kedro/template/{{ cookiecutter.repo_name }}/data/01_raw/iris.csv new file mode 100644 index 0000000000..ba0ebd24cd --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/data/01_raw/iris.csv @@ -0,0 +1,151 @@ +sepal_length,sepal_width,petal_length,petal_width,species +5.1,3.5,1.4,0.2,setosa 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a/kedro/template/{{ cookiecutter.repo_name }}/data/02_intermediate/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/02_intermediate/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/03_primary/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/03_primary/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/04_features/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/04_features/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/05_model_input/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/05_model_input/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/06_models/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/06_models/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/07_model_output/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/07_model_output/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/data/08_reporting/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/data/08_reporting/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py new file mode 100644 index 0000000000..413e8406d7 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py @@ -0,0 +1,243 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# {{ cookiecutter.python_package }} documentation build +# configuration file, created by sphinx-quickstart. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +# +import re + +from {{ cookiecutter.python_package }} import __version__ as release + +# -- Project information ----------------------------------------------------- + +project = "{{ cookiecutter.python_package }}" +copyright = "2018-2019, QuantumBlack Visual Analytics Limited" +author = "QuantumBlack" + +# The short X.Y version. +version = re.match(r"^([0-9]+\.[0-9]+).*", release).group(1) + +# -- General configuration --------------------------------------------------- + +# If your documentation needs a minimal Sphinx version, state it here. +# +# needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.napoleon", + "sphinx_autodoc_typehints", + "sphinx.ext.doctest", + "sphinx.ext.todo", + "sphinx.ext.coverage", + "sphinx.ext.mathjax", + "sphinx.ext.ifconfig", + "sphinx.ext.viewcode", + "sphinx.ext.mathjax", + "nbsphinx", +] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# +# source_suffix = ['.rst', '.md'] +source_suffix = ".rst" + +# The master toctree document. +master_doc = "index" + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This pattern also affects html_static_path and html_extra_path . +exclude_patterns = ["_build", "**.ipynb_checkpoints"] + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# -- Options for HTML output ------------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = "sphinx_rtd_theme" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +# +# html_theme_options = {} + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Custom sidebar templates, must be a dictionary that maps document names +# to template names. +# +# The default sidebars (for documents that don't match any pattern) are +# defined by theme itself. Builtin themes are using these templates by +# default: ``['localtoc.html', 'relations.html', 'sourcelink.html', +# 'searchbox.html']``. +# +# html_sidebars = {} + +html_show_sourcelink = False + +# -- Options for HTMLHelp output --------------------------------------------- + +# Output file base name for HTML help builder. +htmlhelp_basename = "{{ cookiecutter.python_package }}doc" + +# -- Options for LaTeX output ------------------------------------------------ + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # + # 'papersize': 'letterpaper', + # + # The font size ('10pt', '11pt' or '12pt'). + # + # 'pointsize': '10pt', + # + # Additional stuff for the LaTeX preamble. + # + # 'preamble': '', + # + # Latex figure (float) alignment + # + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + master_doc, + "{{ cookiecutter.python_package }}.tex", + "{{ cookiecutter.python_package }} Documentation", + "QuantumBlack", + "manual", + ) +] + +# -- Options for manual page output ------------------------------------------ + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + master_doc, + "{{ cookiecutter.python_package }}", + "{{ cookiecutter.python_package }} Documentation", + [author], + 1, + ) +] + +# -- Options for Texinfo output ---------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + master_doc, + "{{ cookiecutter.python_package }}", + "{{ cookiecutter.python_package }} Documentation", + author, + "{{ cookiecutter.python_package }}", + "Project {{ cookiecutter.python_package }} codebase.", + "Data-Science", + ) +] + +# -- Options for todo extension ---------------------------------------------- + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = False + +# -- Extension configuration ------------------------------------------------- + +# nbsphinx_prolog = """ +# see here for prolog/epilog details: +# https://nbsphinx.readthedocs.io/en/0.3.1/prolog-and-epilog.html +# """ + +# -- NBconvert kernel config ------------------------------------------------- +nbsphinx_kernel_name = "python3" + + +def remove_arrows_in_examples(lines): + for i, line in enumerate(lines): + lines[i] = line.replace(">>>", "") + + +def autodoc_process_docstring(app, what, name, obj, options, lines): + remove_arrows_in_examples(lines) + + +def skip(app, what, name, obj, skip, options): + if name == "__init__": + return False + return skip + + +def setup(app): + app.connect("autodoc-process-docstring", autodoc_process_docstring) + app.connect("autodoc-skip-member", skip) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/docs/source/index.rst b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/index.rst new file mode 100644 index 0000000000..dbbabbc2e4 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/index.rst @@ -0,0 +1,19 @@ +.. {{ cookiecutter.python_package }} documentation master file, created by sphinx-quickstart. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Welcome to project's {{ cookiecutter.python_package }} API docs! +============================================= + +.. toctree:: + :maxdepth: 4 + + modules + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py new file mode 100755 index 0000000000..ce28a40923 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -0,0 +1,236 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Command line tools for manipulating a Kedro project. +Intended to be invoked via `kedro`.""" + +import os +import shutil +import subprocess +import sys +from pathlib import Path + +import click +from click import secho, style +from kedro.cli import main as kernalai_main +from kedro.cli.utils import KedroCliError, call, forward_command, python_call + +CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) + +# get our package onto the python path +PROJ_PATH = Path(__file__).resolve().parent +sys.path.append(str(PROJ_PATH / "src")) +os.environ["PYTHONPATH"] = ( + os.environ.get("PYTHONPATH", "") + os.pathsep + str(PROJ_PATH / "src") +) +os.environ["IPYTHONDIR"] = str(PROJ_PATH / ".ipython") + + +NO_PYTEST_MESSAGE = """ +pytest is not installed. Please make sure pytest is in +src/requirements.txt and run `kedro install`. +""" + + +NO_NBSTRIPOUT_MESSAGE = """ +nbstripout is not installed. Please make sure nbstripout is in +`src/requirements.txt` and run `kedro install`. +""" + + +TAG_ARG_HELP = """Construct the pipeline using only nodes which have this tag +attached. Option can be used multiple times, what results in a +pipeline constructed from nodes having any of those tags.""" + + +ENV_ARG_HELP = """Run the pipeline in a configured environment. If not specified, +pipeline will run using environment `local`.""" + + +PARALLEL_ARG_HELP = """Run the pipeline using the `ParallelRunner`. +If not specified, use the `SequentialRunner`. This flag cannot be used together +with --runner.""" + +RUNNER_ARG_HELP = """Specify a runner that you want to run the pipeline with. +This option cannot be used together with --parallel.""" + + +def __get_kedro_context__(): + """Used to provide this project's context to plugins.""" + from {{cookiecutter.python_package}}.run import __kedro_context__ + return __kedro_context__() + + +@click.group(context_settings=CONTEXT_SETTINGS, name=__file__) +def cli(): + """Command line tools for manipulating a Kedro project.""" + + +@cli.command() +@click.option("--runner", "-r", type=str, default=None, multiple=False, help=RUNNER_ARG_HELP) +@click.option("--parallel", "-p", is_flag=True, multiple=False, help=PARALLEL_ARG_HELP) +@click.option("--env", "-e", type=str, default=None, multiple=False, help=ENV_ARG_HELP) +@click.option("--tag", "-t", type=str, default=None, multiple=True, help=TAG_ARG_HELP) +def run(tag, env, parallel, runner): + """Run the pipeline.""" + from {{cookiecutter.python_package}}.run import main + if parallel and runner: + raise KedroCliError( + "Both --parallel and --runner options cannot be used together. " + "Please use either --parallel or --runner." + ) + if parallel: + runner = "ParallelRunner" + main(tags=tag, env=env, runner=runner) + + +@forward_command(cli, forward_help=True) +def test(args): + """Run the test suite.""" + try: + import pytest # pylint: disable=unused-import + except ImportError: + raise KedroCliError(NO_PYTEST_MESSAGE) + else: + python_call("pytest", args) + + +@cli.command() +def install(): + """Install project dependencies from requirements.txt.""" + python_call("pip", ["install", "-U", "-r", "src/requirements.txt"]) + + +@forward_command(cli, forward_help=True) +def ipython(args): + """Open IPython with project specific variables loaded.""" + if "-h" not in args and "--help" not in args: + ipython_message() + call(["ipython"] + list(args)) + + +@cli.command() +def package(): + """Package the project as a Python egg and wheel.""" + call([sys.executable, "setup.py", "clean", "--all", "bdist_egg"], cwd="src") + call([sys.executable, "setup.py", "clean", "--all", "bdist_wheel"], cwd="src") + + +@cli.command("build-docs") +def build_docs(): + """Build the project documentation.""" + python_call("pip", ["install", "src/[docs]"]) + python_call("pip", ["install", "-r", "src/requirements.txt"]) + python_call( + "ipykernel", ["install", "--user", "--name={{ cookiecutter.python_package }}"] + ) + if Path("docs/build").exists(): + shutil.rmtree("docs/build") + call( + [ + "sphinx-apidoc", + "--module-first", + "-o", + "docs/source", + "src/{{ cookiecutter.python_package }}", + ] + ) + call(["sphinx-build", "-M", "html", "docs/source", "docs/build", "-a"]) + + +@cli.command("activate-nbstripout") +def activate_nbstripout(): + """Install the nbstripout git hook to automatically clean notebooks.""" + secho( + ( + "Notebook output cells will be automatically cleared before committing" + " to git." + ), + fg="yellow", + ) + + try: + import nbstripout # pylint: disable=unused-import + except ImportError: + raise KedroCliError(NO_NBSTRIPOUT_MESSAGE) + + try: + res = subprocess.run( + ["git", "rev-parse", "--git-dir"], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + if res.returncode: + raise KedroCliError("Not a git repository. Run `git init` first.") + except FileNotFoundError: + raise KedroCliError("Git executable not found. Install Git first.") + + call(["nbstripout", "--install"]) + + +@cli.group() +def jupyter(): + """Open Jupyter Notebook / Lab with project specific variables loaded.""" + + +@forward_command(jupyter, "notebook", forward_help=True) +@click.option("--ip", type=str, default="127.0.0.1") +def jupyter_notebook(ip, args): + """Open Jupyter Notebook with project specific variables loaded.""" + if "-h" not in args and "--help" not in args: + ipython_message() + call(["jupyter-notebook", "--ip=" + ip] + list(args)) + + +@forward_command(jupyter, "lab", forward_help=True) +@click.option("--ip", type=str, default="127.0.0.1") +def jupyter_lab(ip, args): + """Open Jupyter Lab with project specific variables loaded.""" + if "-h" not in args and "--help" not in args: + ipython_message() + call(["jupyter-lab", "--ip=" + ip] + list(args)) + + +def ipython_message(): + """Show a message saying how we have configured the IPython env.""" + ipy_vars = ["proj_dir", "proj_name", "io", "startup_error"] + secho("-" * 79, fg="cyan") + secho("Starting a Kedro session with the following variables in scope") + secho(", ".join(ipy_vars), fg="green") + secho( + "Use the line magic {} to refresh them".format( + style("%reload_kedro", fg="green") + ) + ) + secho("or to see the error message if they are undefined") + secho("-" * 79, fg="cyan") + + +if __name__ == "__main__": + os.chdir(str(PROJ_PATH)) + kernalai_main() diff --git a/kedro/template/{{ cookiecutter.repo_name }}/logs/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/logs/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/notebooks/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/notebooks/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/references/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/references/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/results/.gitkeep b/kedro/template/{{ cookiecutter.repo_name }}/results/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/setup.cfg b/kedro/template/{{ cookiecutter.repo_name }}/setup.cfg new file mode 100644 index 0000000000..5a17c6c3dc --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/setup.cfg @@ -0,0 +1,3 @@ +[tool:pytest] +addopts=--cov-report term-missing + --cov src/{{ cookiecutter.python_package }} -ra diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt b/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt new file mode 100644 index 0000000000..374041a02d --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt @@ -0,0 +1,9 @@ +kedro=={{ cookiecutter.kedro_version }} +ipython>=7.0.0, <8.0 +jupyter>=1.0.0, <2.0 +jupyterlab==0.31.1 +nbstripout==0.3.3 +pytest>=3.4, <4.0 +pytest-cov>=2.5, <3.0 +pytest-mock>=1.7.1,<2.0 +wheel==0.32.2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py b/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py new file mode 100644 index 0000000000..b121f5a3e0 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py @@ -0,0 +1,57 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from setuptools import find_packages, setup + +entry_point = ( + "{{ cookiecutter.repo_name }} = {{ cookiecutter.python_package }}.run:main" +) + +# get the dependencies and installs +with open("requirements.txt", "r", encoding="utf-8") as f: + requires = [x.strip() for x in f if x.strip()] + +setup( + name="{{ cookiecutter.python_package }}", + version="0.1", + packages=find_packages(exclude=["tests"]), + entry_points={"console_scripts": [entry_point]}, + install_requires=requires, + extras_require={ + "docs": [ + "sphinx>=1.6.3, <2.0", + "sphinx_rtd_theme==0.4.1", + "nbsphinx==0.3.4", + "nbstripout==0.3.3", + "sphinx-autodoc-typehints==1.6.0", + "jupyter_client>=5.1.0, <6.0", + "tornado>=4.2, <6.0", + "ipykernel>=4.8.1, <5.0", + ] + }, +) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/tests/__init__.py b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py new file mode 100644 index 0000000000..90b78d3124 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py @@ -0,0 +1,79 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains an example test. + +Tests should be placed in ``src/tests``, in modules that mirror your +project's structure, and in files named test_*.py. They are simply functions +named ``test_*`` which test a unit of logic. + +To run the tests, run ``kedro test``. +""" +from os.path import abspath, curdir, join +from pathlib import Path + +import pytest +from kedro.config import ConfigLoader +from kedro.io import DataCatalog + +from {{ cookiecutter.python_package }}.run import ( + CONF_ROOT, + DEFAULT_RUN_ENV, + create_catalog, + get_config, + main, +) + + +def test_main_wrong_cwd(mocker): + cwd = mocker.MagicMock(name="mocked", __str__=mocker.Mock(return_value="invalid/")) + mocker.patch.object(Path, "cwd", return_value=cwd) + with pytest.raises( + ValueError, + match=r"Given configuration path either does not " + r"exist or is not a valid directory: invalid.*", + ): + main() + + +def test_get_config(): + project_dir = abspath(curdir) + local_env = join(project_dir, CONF_ROOT, DEFAULT_RUN_ENV) + + conf = get_config(project_dir, env=None) + + assert isinstance(conf, ConfigLoader) + assert local_env in conf.conf_paths + + +def test_create_catalog(): + project_dir = abspath(curdir) + conf = get_config(project_dir) + catalog = create_catalog(conf) + assert isinstance(catalog, DataCatalog) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/__init__.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/__init__.py new file mode 100644 index 0000000000..58699ca2db --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/__init__.py @@ -0,0 +1,31 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""{{ cookiecutter.project_name }} +""" + +__version__ = "0.1" diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/__init__.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py new file mode 100644 index 0000000000..8b0c83afce --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py @@ -0,0 +1,152 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Example code for the nodes in the example pipeline. This code is meant +just for illustrating basic Kedro features. + +PLEASE DELETE THIS FILE ONCE YOU START WORKING ON YOUR OWN PROJECT! +""" +# pylint: disable=invalid-name + +import logging +from typing import Any, Dict + +import numpy as np +import pandas as pd + + +def split_data(data: pd.DataFrame, parameters: Dict[str, Any]) -> Dict[str, Any]: + """Node for splitting the classical Iris data set into training and test + sets, each split into features and labels. + The split ratio parameter is taken from conf/project/parameters.yml. + The data and the parameters will be loaded and provided to your function + automatically when the pipeline is executed and it is time to run this node. + """ + test_data_ratio = parameters["example_test_data_ratio"] + data.columns = [ + "sepal_length", + "sepal_width", + "petal_length", + "petal_width", + "target", + ] + classes = sorted(data["target"].unique()) + # One-hot encoding for the target variable + data = pd.get_dummies(data, columns=["target"], prefix="", prefix_sep="") + + # Shuffle all the data + data = data.sample(frac=1).reset_index(drop=True) + + # Split to training and testing data + n = data.shape[0] + n_test = int(n * test_data_ratio) + training_data = data.iloc[n_test:, :].reset_index(drop=True) + test_data = data.iloc[:n_test, :].reset_index(drop=True) + + # Split the data to features and labels + train_data_x = training_data.loc[:, "sepal_length":"petal_width"] + train_data_y = training_data[classes] + test_data_x = test_data.loc[:, "sepal_length":"petal_width"] + test_data_y = test_data[classes] + + # When returning many variables, it is a good practice to give them names: + return dict( + train_x=train_data_x, + train_y=train_data_y, + test_x=test_data_x, + test_y=test_data_y, + ) + + +def train_model( + train_x: pd.DataFrame, train_y: pd.DataFrame, parameters: Dict[str, Any] +) -> np.ndarray: + """Node for training a simple multi-class logistic regression model. The + number of training iterations as well as the learning rate are taken from + conf/project/parameters.yml. All of the data as well as the parameters + will be provided to this function at the time of execution. + """ + num_iter = parameters["example_num_train_iter"] + lr = parameters["example_learning_rate"] + X = train_x.values + Y = train_y.values + + # Add bias to the features + bias = np.ones((X.shape[0], 1)) + X = np.concatenate((bias, X), axis=1) + + weights = [] + # Train one model for each class in Y + for k in range(Y.shape[1]): + # Initialise weights + theta = np.zeros(X.shape[1]) + y = Y[:, k] + for _ in range(num_iter): + z = np.dot(X, theta) + h = _sigmoid(z) + gradient = np.dot(X.T, (h - y)) / y.size + theta -= lr * gradient + # Save the weights for each model + weights.append(theta) + + # Return a joint multi-class model with weights for all classes + return np.vstack(weights).transpose() + + +def predict(model: np.ndarray, test_x: pd.DataFrame) -> np.ndarray: + """Node for making predictions given a pre-trained model and a test set. + """ + X = test_x.values + + # Add bias to the features + bias = np.ones((X.shape[0], 1)) + X = np.concatenate((bias, X), axis=1) + + # Predict "probabilities" for each class + result = _sigmoid(np.dot(X, model)) + + # Return the index of the class with max probability for all samples + return np.argmax(result, axis=1) + + +def report_accuracy(predictions: np.ndarray, test_y: pd.DataFrame) -> None: + """Node for reporting the accuracy of the predictions performed by the + previous node. Notice that this function has no outputs, except logging. + """ + # Get true class index + target = np.argmax(test_y.values, axis=1) + # Calculate accuracy of predictions + accuracy = np.sum(predictions == target) / target.shape[0] + # Log the accuracy of the model + log = logging.getLogger(__name__) + log.info("Model accuracy on test set: {0:.2f}%".format(accuracy * 100)) + + +def _sigmoid(z): + """A helper sigmoid function used by the training and the scoring nodes.""" + return 1 / (1 + np.exp(-z)) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py new file mode 100644 index 0000000000..721b3f4c12 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py @@ -0,0 +1,101 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""Pipeline construction.""" +{% if cookiecutter.include_example == "True" %} +from kedro.pipeline import Pipeline, node + +from .nodes.example import predict, report_accuracy, split_data, train_model +{% else %} +from kedro.pipeline import Pipeline +{% endif %} +# Here you can define your data-driven pipeline by importing your functions +# and adding them to the pipeline as follows: +# +# from nodes.data_wrangling import clean_data, compute_features +# +# pipeline = Pipeline([ +# node(clean_data, 'customers', 'prepared_customers'), +# node(compute_features, 'prepared_customers', ['X_train', 'Y_train']) +# ]) +# +# Once you have your pipeline defined, you can run it from the root of your +# project by calling: +# +# $ kedro run +# + + +def create_pipeline(**kwargs): + """Create the project's pipeline. + + Args: + kwargs: Ignore any additional arguments added in the future. + + Returns: + Pipeline: The resulting pipeline. + + """ +{% if cookiecutter.include_example == "True" %} + + ########################################################################### + # Here you can find an example pipeline with 4 nodes. + # + # PLEASE DELETE THIS PIPELINE ONCE YOU START WORKING ON YOUR OWN PROJECT AS + # WELL AS THE FILE nodes/example.py + # ------------------------------------------------------------------------- + + pipeline = Pipeline( + [ + node( + split_data, + ["example_iris_data", "parameters"], + dict( + train_x="example_train_x", + train_y="example_train_y", + test_x="example_test_x", + test_y="example_test_y", + ), + ), + node( + train_model, + ["example_train_x", "example_train_y", "parameters"], + "example_model", + ), + node( + predict, + dict(model="example_model", test_x="example_test_x"), + "example_predictions", + ), + node(report_accuracy, ["example_predictions", "example_test_y"], None), + ] + ) + ########################################################################### +{% else %} + pipeline = Pipeline([]) +{% endif %} + return pipeline diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py new file mode 100644 index 0000000000..0ac2df2e4b --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py @@ -0,0 +1,155 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Application entry point.""" + +import logging.config +from pathlib import Path +from typing import Iterable + +from kedro.cli.utils import KedroCliError +from kedro.config import ConfigLoader +from kedro.io import DataCatalog +from kedro.runner import SequentialRunner +from kedro.utils import load_obj + +from {{ cookiecutter.python_package }}.pipeline import create_pipeline + +# Name of root directory containing project configuration. +CONF_ROOT = "conf" + +# Default configuration environment to be used for running the pipeline. +# Change this constant value if you want to load configuration +# from a different location. +DEFAULT_RUN_ENV = "local" + + +def __kedro_context__(): + """Provide this project's context to ``kedro`` CLI and plugins. + Please do not rename or remove, as this will break the CLI tool. + + Plugins may request additional objects from this method. + """ + return { + "get_config": get_config, + "create_catalog": create_catalog, + "create_pipeline": create_pipeline, + "template_version": "{{ cookiecutter.kedro_version }}", + "project_name": "{{ cookiecutter.project_name }}", + "project_path": Path.cwd(), + } + + +def get_config(project_path: str, env: str = None, **kwargs) -> ConfigLoader: + """Loads Kedro's configuration at the root of the project. + + Args: + project_path: The root directory of the Kedro project. + env: The environment used for loading configuration. + kwargs: Ignore any additional arguments added in the future. + + Returns: + ConfigLoader which can be queried to access the project config. + + """ + project_path = Path(project_path) + env = env or DEFAULT_RUN_ENV + conf_paths = [ + str(project_path / CONF_ROOT / "base"), + str(project_path / CONF_ROOT / env), + ] + return ConfigLoader(conf_paths) + + +def create_catalog(config: ConfigLoader, **kwargs) -> DataCatalog: + """Loads Kedro's ``DataCatalog``. + + Args: + config: ConfigLoader which can be queried to access the project config. + kwargs: Ignore any additional arguments added in the future. + + Returns: + DataCatalog defined in `catalog.yml`. + + """ + conf_logging = config.get("logging*", "logging*/**") + logging.config.dictConfig(conf_logging) + conf_catalog = config.get("catalog*", "catalog*/**") + conf_creds = config.get("credentials*", "credentials*/**") + conf_params = config.get("parameters*", "parameters*/**") + logging.config.dictConfig(conf_logging) + catalog = DataCatalog.from_config(conf_catalog, conf_creds) + catalog.add_feed_dict({"parameters": conf_params}) + return catalog + + +def main( + tags: Iterable[str] = None, + env: str = None, + runner: str = None, +): + """Application main entry point. + + Args: + tags: An optional list of node tags which should be used to + filter the nodes of the ``Pipeline``. If specified, only the nodes + containing *any* of these tags will be added to the ``Pipeline``. + env: An optional parameter specifying the environment in which + the ``Pipeline`` should be run. If not specified defaults to "local". + runner: An optional parameter specifying the runner that you want to run + the pipeline with. + + Raises: + KedroCliError: If the resulting ``Pipeline`` is empty. + + """ + # Report project name + logging.info("** Kedro project {}".format(Path.cwd().name)) + + # Load Catalog + conf = get_config(project_path=str(Path.cwd()), env=env) + catalog = create_catalog(config=conf) + + # Load the pipeline + pipeline = create_pipeline() + pipeline = pipeline.only_nodes_with_tags(*tags) if tags else pipeline + if not pipeline.nodes: + if tags: + raise KedroCliError("Pipeline contains no nodes with tags: " + str(tags)) + raise KedroCliError("Pipeline contains no nodes") + + # Load the runner + # When either --parallel or --runner is used, class_obj is assigned to runner + runner = load_obj(runner, "kedro.runner") if runner else SequentialRunner + + # Run the runner + runner().run(pipeline, catalog) + + +if __name__ == "__main__": + main() diff --git a/kedro/utils.py b/kedro/utils.py new file mode 100644 index 0000000000..63a0b83624 --- /dev/null +++ b/kedro/utils.py @@ -0,0 +1,59 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module provides a set of helper functions being used across different components +of kedro package. +""" + +import importlib +from typing import Any + + +def load_obj(obj_path: str, default_obj_path: str) -> Any: + """Extract an object from a given path. + + Args: + obj_path: Path to an object to be extracted, including the object name. + default_obj_path: Default object path. + + Returns: + Extracted object. + + Raises: + AttributeError: When the object does not have the given named attribute. + + """ + obj_path_list = obj_path.rsplit(".", 1) + obj_path = obj_path_list.pop(0) if len(obj_path_list) > 1 else default_obj_path + obj_name = obj_path_list[0] + module_obj = importlib.import_module(obj_path) + if not hasattr(module_obj, obj_name): + raise AttributeError( + "Object `{}` cannot be loaded from `{}`.".format(obj_name, obj_path) + ) + return getattr(module_obj, obj_name) diff --git a/legal_header.txt b/legal_header.txt new file mode 100644 index 0000000000..66d3cbdfdb --- /dev/null +++ b/legal_header.txt @@ -0,0 +1,27 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000..1cca2282f9 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,2 @@ +[tool.black] +exclude="/template/" diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000..9d6add6581 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,16 @@ +click==6.7 +cookiecutter==1.6.0 +jinja2>=2.10.1, <3.0 +pandas>=0.23.0, <0.25.0 +PyYAML>=5.1, <6.0 +tables==3.5.1 +thrift==0.11 +pyarrow==0.12.0 +SQLAlchemy>=1.2.0, <2.0 +toposort==1.5 +xlrd>=1.0.0, <2.0 +xlsxwriter>=1.0.7, <2.0 +anyconfig==0.9.7 +python-json-logger==0.1.9 +memory_profiler==0.54.0 +s3fs>=0.2.1, <1.0 diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000000..e16968d9c1 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,10 @@ +[metadata] +description-file=README.md + +[tool:pytest] +addopts=--cov-report xml:coverage.xml + --cov-report term-missing + --cov kedro + --cov tests + --no-cov-on-fail + -ra diff --git a/setup.py b/setup.py new file mode 100644 index 0000000000..116fe17677 --- /dev/null +++ b/setup.py @@ -0,0 +1,106 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +from codecs import open +from glob import glob +from os import path + +from setuptools import find_packages, setup + +name = "kedro" +here = path.abspath(path.dirname(__file__)) + +# get package version +with open(path.join(here, name, "__init__.py"), encoding="utf-8") as f: + version = re.search(r'__version__ = ["\']([^"\']+)', f.read()).group(1) + +# get the dependencies and installs +with open("requirements.txt", "r", encoding="utf-8") as f: + requires = [x.strip() for x in f if x.strip()] + +# get test dependencies and installs +with open("test_requirements.txt", "r", encoding="utf-8") as f: + test_requires = [x.strip() for x in f if x.strip() and not x.startswith("-r")] + + +# Get the long description from the README file +with open(path.join(here, "README.md"), encoding="utf-8") as f: + readme = f.read() + +doc_html_files = [ + name.replace("kedro/", "", 1) for name in glob("kedro/html/**/*", recursive=True) +] + +template_files = [] +for pattern in ["**/*", "**/.*", "**/.*/**", "**/.*/.**"]: + template_files.extend( + [ + name.replace("kedro/", "", 1) + for name in glob("kedro/template/" + pattern, recursive=True) + ] + ) + +setup( + name=name, + version=version, + description="Kedro is a data science framework", + long_description=readme, + long_description_content_type="text/markdown", + url="https://github.com/quantumblacklabs/kedro", + python_requires=">=3.5, <3.8", + packages=find_packages(exclude=["docs*", "tests*", "tools*", "features*"]), + include_package_data=True, + tests_require=test_requires, + install_requires=requires, + author="QuantumBlack Visual Analytics Limited", + entry_points={"console_scripts": ["kedro = kedro.cli:main"]}, + package_data={name: template_files + doc_html_files}, + extras_require={ + "docs": [ + "sphinx>=1.8.4, <2.0", + "sphinx_rtd_theme==0.4.3", + "nbsphinx==0.4.2", + "nbstripout==0.3.3", + "recommonmark==0.5.0", + "sphinx-autodoc-typehints==1.6.0", + "sphinx_copybutton==0.2.5", + "jupyter_client>=5.1.0, <6.0", + "tornado>=4.2, <6.0", + "ipykernel>=4.8.1, <5.0", + ], + "pyspark": ["pyspark>=2.2.0, <3.0"], + "notebook_templates": ["nbconvert>=5.3.1, <6.0", "nbformat>=4.4.0, <5.0"], + "azure": [ + "azure-storage-blob>=1.1.0, <2.0", + "azure-storage-file>=1.1.0, <2.0", + "azure-storage-queue>=1.1.0, <2.0", + ], + "bioinformatics": ["biopython>=1.73, <2.0"], + }, +) diff --git a/test_requirements.txt b/test_requirements.txt new file mode 100644 index 0000000000..ee64599adb --- /dev/null +++ b/test_requirements.txt @@ -0,0 +1,20 @@ +-r requirements.txt +pytest>=3.9, <4.0 +pytest-cov>=2.5, <3.0 +pytest-mock>=1.7.1,<2.0 +pylint>=2.3.1, <3.0 +flake8>=3.5,<4.0 +behave==1.2.6 +moto==1.3.7 +nbconvert>=5.3.1, <6.0 +nbformat>=4.4.0, <5.0 +pyspark>=2.2.0, <3.0 +codacy-coverage +azure-storage-blob>=1.1.0, <2.0 +azure-storage-file>=1.1.0, <2.0 +azure-storage-queue>=1.1.0, <2.0 +joblib==0.12.3 +psutil==5.4.7 +wheel==0.32.2 +biopython>=1.73, <2.0 +requests>=2.21.0, <3.0 diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000000..5f7d6257c4 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1,29 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import kedro.config.default_logger # noqa diff --git a/tests/cli/__init__.py b/tests/cli/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/cli/conftest.py b/tests/cli/conftest.py new file mode 100644 index 0000000000..f07d095284 --- /dev/null +++ b/tests/cli/conftest.py @@ -0,0 +1,49 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This file contains the fixtures that are reusable by any tests within +this directory. You don’t need to import the fixtures as pytest will +discover them automatically. More info here: +https://docs.pytest.org/en/latest/fixture.html +""" + +from os import makedirs + +from click.testing import CliRunner +from pytest import fixture + +MOCKED_HOME = "user/path/" + + +@fixture(name="cli_runner") +def cli_runner_fixture(): + runner = CliRunner() + with runner.isolated_filesystem(): + makedirs(MOCKED_HOME) + yield runner diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py new file mode 100644 index 0000000000..6cc0354ff2 --- /dev/null +++ b/tests/cli/test_cli.py @@ -0,0 +1,204 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from os.path import join + +import click +from mock import patch +from pytest import fixture, mark, raises + +from kedro import __version__ as version +from kedro.cli.cli import cli +from kedro.cli.utils import ( + CommandCollection, + KedroCliError, + forward_command, + get_pkg_version, +) + + +@click.group() +def stub_cli(): + """Stub CLI group description.""" + print("group callback") + + +@stub_cli.command() +def stub_command(): + print("command callback") + + +@forward_command(stub_cli) +def forwarded_command(args): + print("fred", args) + + +@forward_command(stub_cli, forward_help=True) +def forwarded_help(args): + print("fred", args) + + +@fixture +def invoke_result(cli_runner, request): + cmd_collection = CommandCollection(("Commands", [cli, stub_cli])) + return cli_runner.invoke(cmd_collection, request.param) + + +@fixture +def requirements_file(tmp_path): + body = "\n".join(["SQLAlchemy>=1.2.0, <2.0", "pandas==0.23.0", "toposort"]) + "\n" + reqs_file = tmp_path / "requirements.txt" + reqs_file.write_text(body) + yield reqs_file + + +class TestCliCommands: + def test_cli(self, cli_runner): + """Run `kedro` without arguments.""" + result = cli_runner.invoke(cli, []) + + assert result.exit_code == 0 + assert "kedro" in result.output + + def test_print_version(self, cli_runner): + """Check that `kedro --version` and `kedro -V` outputs contain + the current package version.""" + result = cli_runner.invoke(cli, ["--version"]) + + assert result.exit_code == 0 + assert version in result.output + + result_abr = cli_runner.invoke(cli, ["-V"]) + assert result_abr.exit_code == 0 + assert version in result_abr.output + + def test_info_contains_qb(self, cli_runner): + """Check that `kedro info` output contains + reference to QuantumBlack.""" + result = cli_runner.invoke(cli, ["info"]) + + assert result.exit_code == 0 + assert "QuantumBlack" in result.output + + def test_help(self, cli_runner): + """Check that `kedro --help` returns a valid help message.""" + result = cli_runner.invoke(cli, ["--help"]) + + assert result.exit_code == 0 + assert "kedro" in result.output + + result = cli_runner.invoke(cli, ["-h"]) + assert result.exit_code == 0 + assert "-h, --help Show this message and exit." in result.output + + @patch("webbrowser.open") + def test_docs(self, patched_browser, cli_runner): + """Check that `kedro docs` opens a correct file in the browser.""" + result = cli_runner.invoke(cli, ["docs"]) + + assert result.exit_code == 0 + for each in ("Opening file", join("html", "index.html")): + assert each in result.output + + patched_browser.assert_called_once() + args, _ = patched_browser.call_args + for each in ("file://", join("kedro", "html", "index.html")): + assert each in args[0] + + +class TestCommandCollection: + @mark.parametrize("invoke_result", [["stub_command"]], indirect=True) + def test_found(self, invoke_result): + """Test calling existing command.""" + assert invoke_result.exit_code == 0 + assert "group callback" not in invoke_result.output + assert "command callback" in invoke_result.output + + def test_found_reverse(self, cli_runner): + """Test calling existing command.""" + cmd_collection = CommandCollection(("Commands", [stub_cli, cli])) + invoke_result = cli_runner.invoke(cmd_collection, ["stub_command"]) + assert invoke_result.exit_code == 0 + assert "group callback" in invoke_result.output + assert "command callback" in invoke_result.output + + @mark.parametrize("invoke_result", [["not_found"]], indirect=True) + def test_not_found(self, invoke_result): + """Test calling nonexistent command.""" + assert invoke_result.exit_code == 2 + assert "No such command" in invoke_result.output + + @mark.parametrize("invoke_result", [[]], indirect=True) + def test_help(self, invoke_result): + """Check that help output includes stub_cli group description.""" + assert invoke_result.exit_code == 0 + assert "Stub CLI group description" in invoke_result.output + assert "Kedro is a CLI" in invoke_result.output + + +class TestForwardCommand: + def test_regular(self, cli_runner): + """Test forwarded command invocation.""" + result = cli_runner.invoke(stub_cli, ["forwarded_command", "bob"]) + assert result.exit_code == 0 + assert "bob" in result.output + assert "fred" in result.output + assert "--help" not in result.output + assert "forwarded_command" not in result.output + + def test_help(self, cli_runner): + """Test help output for the command with help flags not forwarded.""" + result = cli_runner.invoke(stub_cli, ["forwarded_command", "bob", "--help"]) + assert result.exit_code == 0 + assert "bob" not in result.output + assert "fred" not in result.output + assert "--help" in result.output + assert "forwarded_command" in result.output + + def test_forwarded_help(self, cli_runner): + """Test help output for the command with forwarded help flags.""" + result = cli_runner.invoke(stub_cli, ["forwarded_help", "bob", "--help"]) + assert result.exit_code == 0 + assert "bob" in result.output + assert "fred" in result.output + assert "--help" in result.output + assert "forwarded_help" not in result.output + + +def test_get_pkg_version(requirements_file): + """Test get_pkg_version(), which extracts package version + from the provided requirements file.""" + sa_version = "SQLAlchemy>=1.2.0, <2.0" + assert get_pkg_version(requirements_file, "SQLAlchemy") == sa_version + assert get_pkg_version(requirements_file, "pandas") == "pandas==0.23.0" + assert get_pkg_version(requirements_file, "toposort") == "toposort" + with raises(KedroCliError): + get_pkg_version(requirements_file, "nonexistent") + with raises(KedroCliError): + non_existent_file = str(requirements_file) + "-nonexistent" + get_pkg_version(non_existent_file, "pandas") diff --git a/tests/cli/test_cli_new.py b/tests/cli/test_cli_new.py new file mode 100644 index 0000000000..04bff7cf02 --- /dev/null +++ b/tests/cli/test_cli_new.py @@ -0,0 +1,401 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module contains unit test for the cli command 'kedro new' +""" + +import json +import os +from pathlib import Path + +import pytest +import yaml + +from kedro import __version__ as version +from kedro.cli.cli import TEMPLATE_PATH, _fix_user_path, _get_default_config, cli + +FILES_IN_TEMPLATE_NO_EXAMPLE = 35 +FILES_IN_TEMPLATE_WITH_EXAMPLE = 37 + + +# pylint: disable=too-many-arguments +def _invoke( + cli_runner, + args, + project_name=None, + repo_name=None, + python_package=None, + include_example=None, +): + + click_prompts = (project_name, repo_name, python_package, include_example) + input_string = "\n".join(x or "" for x in click_prompts) + + return cli_runner.invoke(cli, args, input=input_string) + + +# pylint: disable=too-many-arguments +def _assert_template_ok( + result, + files_in_template, + repo_name=None, + project_name="New Kedro Project", + output_dir=".", + package_name=None, +): + print(result.output) + assert result.exit_code == 0 + assert "Project generated in" in result.output + + if repo_name: + full_path = (Path(output_dir) / repo_name).absolute() + generated_files = [ + p for p in full_path.rglob("*") if p.is_file() and p.name != ".DS_Store" + ] + + assert len(generated_files) == files_in_template + assert full_path.exists() + assert (full_path / ".gitignore").is_file() + + if project_name: + with (full_path / "README.md").open() as file: + assert project_name in file.read() + + with (full_path / ".gitignore").open() as file: + assert "KEDRO" in file.read() + + with (full_path / "src" / "requirements.txt").open() as file: + assert version in file.read() + + if package_name: + assert (full_path / "src" / package_name / "__init__.py").is_file() + + +class TestInteractiveNew: + """Tests for running `kedro new` interactively.""" + + repo_name = "project-test" + package_name = "package_test" + include_example = "y" + + def test_new_no_example(self, cli_runner): + """Test new project creation without code example.""" + project_name = "Test" + result = _invoke( + cli_runner, + ["-v", "new"], + project_name=project_name, + repo_name=self.repo_name, + include_example="N", + ) + _assert_template_ok( + result, + FILES_IN_TEMPLATE_NO_EXAMPLE, + repo_name=self.repo_name, + project_name=project_name, + package_name="test", + ) + + def test_new_with_example(self, cli_runner): + """Test new project creation with code example.""" + project_name = "Test" + result = _invoke( + cli_runner, + ["-v", "new"], + project_name=project_name, + repo_name=self.repo_name, + include_example="y", + ) + _assert_template_ok( + result, + FILES_IN_TEMPLATE_WITH_EXAMPLE, + repo_name=self.repo_name, + project_name=project_name, + package_name="test", + ) + + def test_new_custom_dir(self, cli_runner): + """Test that default package name does not change if custom + repo name was specified.""" + result = _invoke( + cli_runner, + ["new"], + repo_name=self.repo_name, + include_example=self.include_example, + ) + _assert_template_ok( + result, + FILES_IN_TEMPLATE_WITH_EXAMPLE, + repo_name=self.repo_name, + package_name="new_kedro_project", + ) + + def test_new_correct_path(self, cli_runner): + """Test new project creation with the default project name.""" + result = _invoke( + cli_runner, + ["new"], + repo_name=self.repo_name, + include_example=self.include_example, + ) + _assert_template_ok( + result, FILES_IN_TEMPLATE_WITH_EXAMPLE, repo_name=self.repo_name + ) + + def test_fail_if_dir_exists(self, cli_runner): + """Check the error if the output directory already exists.""" + empty_file = Path(self.repo_name) / "empty_file" + empty_file.parent.mkdir(parents=True) + empty_file.touch() + + old_contents = list(Path(self.repo_name).iterdir()) + + result = _invoke( + cli_runner, + ["-v", "new"], + repo_name=self.repo_name, + include_example=self.include_example, + ) + + assert list(Path(self.repo_name).iterdir()) == old_contents + assert "directory already exists" in result.output + assert result.exit_code != 0 + + @pytest.mark.parametrize("repo_name", [".repo", "re!po", "-repo", "repo-"]) + def test_bad_repo_name(self, cli_runner, repo_name): + """Check the error if the repository name is invalid.""" + result = _invoke( + cli_runner, + ["new"], + repo_name=repo_name, + include_example=self.include_example, + ) + assert result.exit_code == 0 + assert "is not a valid repository name." in result.output + + @pytest.mark.parametrize( + "pkg_name", ["0package", "_", "package-name", "package name"] + ) + def test_bad_pkg_name(self, cli_runner, pkg_name): + """Check the error if the package name is invalid.""" + result = _invoke( + cli_runner, + ["new"], + python_package=pkg_name, + include_example=self.include_example, + ) + assert result.exit_code == 0 + assert "is not a valid Python package name." in result.output + + @pytest.mark.parametrize("include_example", ["A", "a", "_", "?"]) + def test_bad_include_example(self, cli_runner, include_example): + """Check the error include example response is invalid.""" + result = _invoke( + cli_runner, + ["new"], + python_package=self.package_name, + include_example=include_example, + ) + assert result.exit_code == 0 + assert "invalid input" in result.output + + +def _create_config_file( + config_path, project_name, repo_name, output_dir=None, include_example=False +): + config = { + "project_name": project_name, + "repo_name": repo_name, + "python_package": repo_name.replace("-", "_"), + "include_example": include_example, + } + + if output_dir is not None: + config["output_dir"] = output_dir + + with open(config_path, "w+") as config_file: + yaml.dump(config, config_file) + + return config + + +class TestNewFromConfig: + """Test `kedro new` with config option provided.""" + + project_name = "test1" + repo_name = "project-test1" + config_path = "config.yml" + include_example = True + + def test_config_does_not_exist(self, cli_runner): + """Check the error if the config file does not exist.""" + result = _invoke(cli_runner, ["new", "-c", "missing.yml"]) + assert result.exit_code != 0 + assert "does not exist" in result.output + + def test_empty_config(self, cli_runner): + """Check the error if the config file is empty.""" + open("touch", "a").close() + result = _invoke(cli_runner, ["-v", "new", "-c", "touch"]) + assert result.exit_code != 0 + assert "is empty" in result.output + + def test_new_from_config_no_example(self, cli_runner): + """Test project created from config without example code.""" + output_dir = "test_dir" + include_example = False + Path(output_dir).mkdir(parents=True) + _create_config_file( + self.config_path, + self.project_name, + self.repo_name, + output_dir, + include_example, + ) + result = _invoke(cli_runner, ["-v", "new", "--config", self.config_path]) + _assert_template_ok( + result, + FILES_IN_TEMPLATE_NO_EXAMPLE, + self.repo_name, + self.project_name, + output_dir, + ) + + def test_new_from_config_with_example(self, cli_runner): + """Test project created from config with example code.""" + output_dir = "test_dir" + Path(output_dir).mkdir(parents=True) + _create_config_file( + self.config_path, + self.project_name, + self.repo_name, + output_dir, + self.include_example, + ) + result = _invoke(cli_runner, ["-v", "new", "--config", self.config_path]) + + _assert_template_ok( + result, + FILES_IN_TEMPLATE_WITH_EXAMPLE, + self.repo_name, + self.project_name, + output_dir, + ) + + def test_wrong_config(self, cli_runner): + """Check the error if the output directory is invalid.""" + output_dir = "/usr/invalid/dir" + _create_config_file( + self.config_path, self.project_name, self.repo_name, output_dir + ) + + result = _invoke(cli_runner, ["new", "-c", self.config_path]) + + assert result.exit_code != 0 + assert "is not a valid output directory." in result.output + + def test_bad_yaml(self, cli_runner): + """Check the error if config YAML is invalid.""" + Path(self.config_path).write_text( + "output_dir: \nproject_name:\ttest\nrepo_name:\ttest1\n" + ) + result = _invoke(cli_runner, ["new", "-c", self.config_path]) + + assert result.exit_code != 0 + assert "that cannot start any token" in result.output + + def test_output_dir_with_tilde_in_path(self, mocker): + """Check the error if the output directory contains "~" .""" + home_dir = os.path.join("/home", "directory") + output_dir = os.path.join("~", "here") + + expected = os.path.join(home_dir, "here") + + mocker.patch.dict("os.environ", {"HOME": home_dir, "USERPROFILE": home_dir}) + actual = _fix_user_path(output_dir) + assert actual == expected + + def test_output_dir_with_relative_path(self, mocker): + """Check the error if the output directory contains a relative path.""" + home_dir = os.path.join("/home", "directory") + current_dir = os.path.join(home_dir, "current", "directory") + output_dir = os.path.join("path", "to", "here") + + expected = os.path.join(current_dir, output_dir) + + mocker.patch.dict("os.environ", {"HOME": home_dir, "USERPROFILE": home_dir}) + mocker.patch("os.getcwd", return_value=current_dir) + actual = _fix_user_path(output_dir) + assert actual == expected + + def test_missing_output_dir(self, cli_runner): + """Check the error if config YAML does not contain the output + directory.""" + _create_config_file( + self.config_path, + self.project_name, + self.repo_name, + output_dir=None, + include_example=self.include_example, + ) # output dir missing + result = _invoke(cli_runner, ["-v", "new", "--config", self.config_path]) + + assert result.exit_code != 0 + assert "[output_dir] not found in" in result.output + assert not Path(self.repo_name).exists() + + def test_missing_include_example(self, cli_runner): + """Check the error if config YAML does not contain include example.""" + output_dir = "test_dir" + Path(output_dir).mkdir(parents=True) + _create_config_file( + self.config_path, + self.project_name, + self.repo_name, + output_dir, + include_example=None, + ) # include_example missing + result = _invoke(cli_runner, ["-v", "new", "--config", self.config_path]) + + assert result.exit_code != 0 + assert "It must be a boolean value" in result.output + assert not Path(self.repo_name).exists() + + +def test_default_config_up_to_date(): + """Validate the contents of the default config file.""" + cookie_json_path = Path(TEMPLATE_PATH) / "cookiecutter.json" + cookie = json.loads(cookie_json_path.read_text("utf-8")) + + cookie_keys = [ + key for key in cookie if not key.startswith("_") and key != "kedro_version" + ] + cookie_keys.append("output_dir") + default_config_keys = _get_default_config().keys() + + assert set(cookie_keys) == set(default_config_keys) diff --git a/tests/config/__init__.py b/tests/config/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/config/test_config.py b/tests/config/test_config.py new file mode 100644 index 0000000000..a1f90a0fe0 --- /dev/null +++ b/tests/config/test_config.py @@ -0,0 +1,280 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import configparser +import json +from pathlib import Path +from typing import Dict + +import pytest +import yaml + +from kedro.config import ConfigLoader + + +def _get_local_logging_config(): + return { + "version": 1, + "formatters": { + "simple": {"format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s"} + }, + "root": {"level": "INFO", "handlers": ["console"]}, + "loggers": { + "kedro": {"level": "INFO", "handlers": ["console"], "propagate": False} + }, + "handlers": { + "console": { + "class": "logging.StreamHandler", + "level": "INFO", + "formatter": "simple", + "stream": "ext://sys.stdout", + } + }, + } + + +def _write_yaml(filepath: Path, config: Dict): + filepath.parent.mkdir(parents=True, exist_ok=True) + yaml_str = yaml.dump(config) + filepath.write_text(yaml_str) + + +def _write_json(filepath: Path, config: Dict): + filepath.parent.mkdir(parents=True, exist_ok=True) + json_str = json.dumps(config) + filepath.write_text(json_str) + + +def _write_dummy_ini(filepath: Path): + filepath.parent.mkdir(parents=True, exist_ok=True) + config = configparser.ConfigParser() + config["prod"] = {"url": "postgresql://user:pass@url_prod/db"} + config["staging"] = {"url": "postgresql://user:pass@url_staging/db"} + with filepath.open("wt") as configfile: # save + config.write(configfile) + + +@pytest.fixture +def base_config(tmp_path): + filepath = str(tmp_path / "cars.csv") + return { + "trains": {"type": "MemoryDataSet"}, + "cars": { + "type": "CSVLocalDataSet", + "filepath": filepath, + "save_args": {"index": True}, + }, + } + + +@pytest.fixture +def local_config(tmp_path): + filepath = str(tmp_path / "cars.csv") + return { + "cars": { + "type": "CSVLocalDataSet", + "filepath": filepath, + "save_args": {"index": False}, + }, + "boats": {"type": "MemoryDataSet"}, + } + + +@pytest.fixture +def create_config_dir(tmp_path, base_config, local_config): + proj_catalog = tmp_path / "base" / "catalog.yml" + local_catalog = tmp_path / "local" / "catalog.yml" + local_logging = tmp_path / "local" / "logging.yml" + parameters = tmp_path / "base" / "parameters.json" + db_config_path = tmp_path / "base" / "db.ini" + project_parameters = dict(param1=1, param2=2) + + _write_yaml(proj_catalog, base_config) + _write_yaml(local_catalog, local_config) + _write_yaml(local_logging, _get_local_logging_config()) + _write_json(parameters, project_parameters) + _write_dummy_ini(db_config_path) + + +@pytest.fixture +def conf_paths(tmp_path): + return [str(tmp_path / "base"), str(tmp_path / "local")] + + +@pytest.fixture +def proj_catalog(tmp_path, base_config): + proj_catalog = tmp_path / "base" / "catalog.yml" + _write_yaml(proj_catalog, base_config) + + +@pytest.fixture +def proj_catalog_nested(tmp_path, base_config): + proj_catalog = tmp_path / "base" / "prod" / "catalog.yml" + _write_yaml(proj_catalog, {"prod": base_config}) + + +use_config_dir = pytest.mark.usefixtures("create_config_dir") +use_proj_catalog = pytest.mark.usefixtures("proj_catalog") + + +class TestConfigLoader: + @use_config_dir + def test_load_local_config(self, conf_paths): + """Make sure that configs from `local/` override the ones + from `base/`""" + conf = ConfigLoader(conf_paths) + params = conf.get("parameters*") + db_conf = conf.get("db*") + catalog = conf.get("catalog*") + + assert params["param1"] == 1 + assert db_conf["prod"]["url"] == "postgresql://user:pass@url_prod/db" + + assert catalog["trains"]["type"] == "MemoryDataSet" + assert catalog["cars"]["type"] == "CSVLocalDataSet" + assert catalog["boats"]["type"] == "MemoryDataSet" + assert not catalog["cars"]["save_args"]["index"] + + @use_proj_catalog + def test_load_base_config(self, tmp_path, conf_paths, base_config): + """Test config loading if `local/` directory is empty""" + (tmp_path / "local").mkdir(exist_ok=True) + catalog = ConfigLoader(conf_paths).get("catalog*.yml") + assert catalog == base_config + + @use_proj_catalog + def test_duplicate_patterns(self, tmp_path, conf_paths, base_config): + """Test config loading if the glob patterns cover the same file""" + (tmp_path / "local").mkdir(exist_ok=True) + conf = ConfigLoader(conf_paths) + catalog1 = conf.get("catalog*.yml", "catalog*.yml") + catalog2 = conf.get("catalog*.yml", "catalog.yml") + assert catalog1 == catalog2 == base_config + + def test_subdirs_dont_exist(self, tmp_path, conf_paths, base_config): + """Check the error when config paths don't exist""" + pattern = ( + r"Given configuration path either does not exist " + r"or is not a valid directory\: {}" + ) + with pytest.raises(ValueError, match=pattern.format(".*base")): + ConfigLoader(conf_paths).get("catalog*") + with pytest.raises(ValueError, match=pattern.format(".*local")): + proj_catalog = tmp_path / "base" / "catalog.yml" + _write_yaml(proj_catalog, base_config) + ConfigLoader(conf_paths).get("catalog*") + + @pytest.mark.usefixtures("create_config_dir", "proj_catalog", "proj_catalog_nested") + def test_nested_subdirs(self, tmp_path): + """Test loading the config from subdirectories""" + catalog = ConfigLoader(str(tmp_path / "base")).get("**/catalog*") + assert ( + catalog["cars"]["type"] + == catalog["prod"]["cars"]["type"] + == "CSVLocalDataSet" + ) + assert catalog["cars"]["save_args"]["index"] is True + + @use_config_dir + def test_nested_subdirs_duplicate(self, tmp_path, conf_paths, base_config): + """Check the error when the configs from subdirectories contain + duplicate keys""" + nested = tmp_path / "base" / "prod" / "catalog.yml" + _write_yaml(nested, base_config) + + pattern = ( + r"Duplicate keys found in .*catalog\.yml " + r"and\:\n\- .*catalog\.yml\: cars, trains" + ) + with pytest.raises(ValueError, match=pattern): + ConfigLoader(conf_paths).get("**/catalog*") + + def test_ignore_hidden_keys(self, tmp_path): + """Check that the config key starting with `_` are ignored and also + don't cause a config merge error""" + _write_yaml(tmp_path / "base" / "catalog1.yml", {"k1": "v1", "_k2": "v2"}) + _write_yaml(tmp_path / "base" / "catalog2.yml", {"k3": "v3", "_k2": "v4"}) + + conf = ConfigLoader(str(tmp_path)) + catalog = conf.get("**/catalog*") + assert catalog.keys() == {"k1", "k3"} + + _write_yaml(tmp_path / "base" / "catalog3.yml", {"k1": "dup", "_k2": "v5"}) + pattern = ( + r"^Duplicate keys found in .*catalog3\.yml and\:\n\- .*catalog1\.yml\: k1$" + ) + with pytest.raises(ValueError, match=pattern): + conf.get("**/catalog*") + + @use_config_dir + def test_same_key_in_same_dir(self, tmp_path, conf_paths, base_config): + """Check the error if 2 files in the same config dir contain + the same top-level key""" + dup_json = tmp_path / "base" / "catalog.json" + _write_json(dup_json, base_config) + + pattern = ( + r"Duplicate keys found in .*catalog\.yml " + r"and\:\n\- .*catalog\.json\: cars, trains" + ) + with pytest.raises(ValueError, match=pattern): + ConfigLoader(conf_paths).get("catalog*") + + def test_empty_conf_paths(self): + """Check the error if config paths were not specified or are empty""" + pattern = ( + r"`conf_paths` must contain at least one path to load " + r"configuration files from" + ) + with pytest.raises(ValueError, match=pattern): + ConfigLoader([]) + with pytest.raises(ValueError, match=pattern): + ConfigLoader("") + + @use_config_dir + def test_empty_patterns(self, conf_paths): + """Check the error if no config patterns were specified""" + pattern = ( + r"`patterns` must contain at least one glob pattern " + r"to match config filenames against" + ) + with pytest.raises(ValueError, match=pattern): + ConfigLoader(conf_paths).get() + + @use_config_dir + def test_no_files_found(self, conf_paths): + """Check the error if no config files satisfy a given pattern""" + pattern = ( + r"No files found in " + r"\[\'.*base\', " + r"\'.*local\'\] " + r"matching the glob pattern\(s\): " + r"\[\'non\-existent\-pattern\'\]" + ) + with pytest.raises(ValueError, match=pattern): + ConfigLoader(conf_paths).get("non-existent-pattern") diff --git a/tests/contrib/__init__.py b/tests/contrib/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/colors/__init__.py b/tests/contrib/colors/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/colors/logging/__init__.py b/tests/contrib/colors/logging/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/colors/logging/test_color_logger.py b/tests/contrib/colors/logging/test_color_logger.py new file mode 100644 index 0000000000..5e1f8323f6 --- /dev/null +++ b/tests/contrib/colors/logging/test_color_logger.py @@ -0,0 +1,44 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging + +from kedro.contrib.colors.logging import ColorHandler + + +def test_color_logger(caplog): + log = logging.getLogger(__name__) + for handler in log.handlers: + log.removeHandler(handler) # pragma: no cover + + log.addHandler(ColorHandler()) + log.info("Test") + + for record in caplog.records: + assert record.levelname == "INFO" + assert "Test" in record.msg diff --git a/tests/contrib/decorators/__init__.py b/tests/contrib/decorators/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/decorators/test_decorators.py b/tests/contrib/decorators/test_decorators.py new file mode 100644 index 0000000000..2b5042ea7b --- /dev/null +++ b/tests/contrib/decorators/test_decorators.py @@ -0,0 +1,96 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +import pandas as pd +import pytest +from pyspark.sql import SparkSession + +from kedro.contrib.decorators import pandas_to_spark, retry, spark_to_pandas +from kedro.pipeline import node + + +@pytest.fixture() +def spark(): + return SparkSession.builder.getOrCreate() + + +@pytest.fixture() +def pandas_df(): + return pd.DataFrame( + { + "Name": ["Alex", "Bob", "Clarke", "Dave"], + "Age": [31, 12, 65, 29], + "member": ["y", "n", "y", "n"], + } + ) + + +@pytest.fixture() +def spark_df(pandas_df, spark): + return spark.createDataFrame(pandas_df) + + +@pytest.fixture() +def three_arg_node(): + return node( + lambda arg1, arg2, arg3: [arg1, arg2, arg3], + ["input1", "input2", "input3"], + ["output1", "output2", "output3"], + ) + + +@pytest.fixture() +def inputs(pandas_df, spark_df): + return {"input1": pandas_df, "input2": spark_df, "input3": pandas_df} + + +def test_pandas_to_spark(three_arg_node, spark, pandas_df, inputs): + res = three_arg_node.decorate(pandas_to_spark(spark)).run(inputs) + for output in ["output1", "output2", "output3"]: + assert res[output].toPandas().equals(pandas_df) + + +def test_spark_to_pandas(three_arg_node, pandas_df, inputs): + res = three_arg_node.decorate(spark_to_pandas()).run(inputs) + for output in ["output1", "output2", "output3"]: + assert res[output].equals(pandas_df) + + +def test_retry(): + def _bigger(obj): + obj["value"] += 1 + if obj["value"] >= 0: + return True + raise ValueError("Value less than 0") + + decorated = node(_bigger, "in", "out").decorate(retry()) + + with pytest.raises(ValueError, match=r"Value less than 0"): + decorated.run({"in": {"value": -3}}) + + decorated2 = node(_bigger, "in", "out").decorate(retry(n_times=2)) + assert decorated2.run({"in": {"value": -3}}) diff --git a/tests/contrib/io/__init__.py b/tests/contrib/io/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/azure/__init__.py b/tests/contrib/io/azure/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/azure/test_csv_blob.py b/tests/contrib/io/azure/test_csv_blob.py new file mode 100644 index 0000000000..ace8088d80 --- /dev/null +++ b/tests/contrib/io/azure/test_csv_blob.py @@ -0,0 +1,156 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-argument + +from unittest.mock import patch + +import pandas as pd +import pytest + +from kedro.contrib.io.azure import CSVBlobDataSet +from kedro.io import DataSetError + +TEST_FILE_NAME = "test.csv" +TEST_CONTAINER_NAME = "test_bucket" +TEST_CREDENTIALS = {"account_name": "ACCOUNT_NAME", "account_key": "ACCOUNT_KEY"} + + +@pytest.fixture() +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + +@pytest.fixture +def blob_csv_data_set(): + def make_data_set(load_args=None, save_args=None): + return CSVBlobDataSet( + filepath=TEST_FILE_NAME, + container_name=TEST_CONTAINER_NAME, + blob_to_text_args={"to_extra": 42}, + blob_from_text_args={"from_extra": 42}, + credentials=TEST_CREDENTIALS, + load_args=load_args, + save_args=save_args, + ) + + return make_data_set + + +@patch("kedro.contrib.io.azure.csv_blob.BlockBlobService") +def test_pass_credentials_load(blob_service, blob_csv_data_set): + try: + blob_csv_data_set().load() + except DataSetError: + # We don't care about it for this test, we just want to know that + # azure service was called with the right parameters + pass + blob_service.assert_called_with( + account_name="ACCOUNT_NAME", account_key="ACCOUNT_KEY" + ) + + +@patch("kedro.contrib.io.azure.csv_blob.BlockBlobService") +def test_pass_credentials_save(blob_service, blob_csv_data_set, dummy_dataframe): + blob_csv_data_set().save(dummy_dataframe) + blob_service.assert_called_with( + account_name="ACCOUNT_NAME", account_key="ACCOUNT_KEY" + ) + + +@patch("kedro.contrib.io.azure.csv_blob.BlockBlobService.get_blob_to_text") +def test_load_blob_args(get_blob_mock, blob_csv_data_set): + try: + blob_csv_data_set().load() + except DataSetError: + pass + + get_blob_mock.assert_called_with( + container_name=TEST_CONTAINER_NAME, blob_name=TEST_FILE_NAME, to_extra=42 + ) + + +class BlobMock: + def __init__(self): + self._content = "name,age\ntom,3\nbob,4" + + @property + def content(self): + return self._content + + +def mock_load_func(): + def mocked(*args, **kwargs): + return BlobMock() + + return mocked + + +@patch( + "kedro.contrib.io.azure.csv_blob.BlockBlobService.get_blob_to_text", + new_callable=mock_load_func, +) +def test_load(get_blob_mock, blob_csv_data_set): + result = blob_csv_data_set().load()[["name", "age"]] + expected = pd.DataFrame({"name": ["tom", "bob"], "age": [3, 4]}) + expected = expected[["name", "age"]] + assert result.equals(expected) + + +@patch("kedro.contrib.io.azure.csv_blob.BlockBlobService.create_blob_from_text") +def test_save_blob_args(blob_from_mock, blob_csv_data_set, dummy_dataframe): + blob_csv_data_set().save(dummy_dataframe) + blob_from_mock.assert_called_with( + container_name=TEST_CONTAINER_NAME, + blob_name=TEST_FILE_NAME, + text=dummy_dataframe.to_csv(index=False), + from_extra=42, + ) + + +# pylint: disable=protected-access +def test_load_extra_params(blob_csv_data_set): + expected_keys = ["option"] + data_set = blob_csv_data_set(load_args={"option": "value"}) + for expected_key in expected_keys: + assert expected_key in data_set._load_args.keys() + + +# pylint: disable=protected-access +def test_save_with_extra_params(blob_csv_data_set): + expected_keys = ["index", "option"] + data_set = blob_csv_data_set(save_args={"option": "value"}) + for expected_key in expected_keys: + assert expected_key in data_set._save_args.keys() + + +def test_str_representation(blob_csv_data_set): + data_set = blob_csv_data_set(save_args={"option": "value"}) + assert "CSVBlobDataSet" in str(data_set) + assert TEST_CREDENTIALS["account_name"] not in str(data_set) + assert TEST_CREDENTIALS["account_key"] not in str(data_set) diff --git a/tests/contrib/io/bioinformatics/__init__.py b/tests/contrib/io/bioinformatics/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/bioinformatics/ls_orchid.fasta b/tests/contrib/io/bioinformatics/ls_orchid.fasta new file mode 100644 index 0000000000..9c0fc9678d --- /dev/null +++ b/tests/contrib/io/bioinformatics/ls_orchid.fasta @@ -0,0 +1,1268 @@ +>gi|2765658|emb|Z78533.1|CIZ78533 C.irapeanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGATGAGACCGTGGAATAAA +CGATCGAGTGAATCCGGAGGACCGGTGTACTCAGCTCACCGGGGGCATTGCTCCCGTGGT +GACCCTGATTTGTTGTTGGGCCGCCTCGGGAGCGTCCATGGCGGGTTTGAACCTCTAGCC +CGGCGCAGTTTGGGCGCCAAGCCATATGAAAGCATCACCGGCGAATGGCATTGTCTTCCC +CAAAACCCGGAGCGGCGGCGTGCTGTCGCGTGCCCAATGAATTTTGATGACTCTCGCAAA +CGGGAATCTTGGCTCTTTGCATCGGATGGAAGGACGCAGCGAAATGCGATAAGTGGTGTG +AATTGCAAGATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCGCCCGAGGCCATCA +GGCTAAGGGCACGCCTGCTTGGGCGTCGCGCTTCGTCTCTCTCCTGCCAATGCTTGCCCG +GCATACAGCCAGGCCGGCGTGGTGCGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCG +GCGGGTCCAAGAGCTGGTGTTTTGATGGCCCGGAACCCGGCAAGAGGTGGACGGATGCTG +GCAGCAGCTGCCGTGCGAATCCCCCATGTTGTCGTGCTTGTCGGACAGGCAGGAGAACCC +TTCCGAACCCCAATGGAGGGCGGTTGACCGCCATTCGGATGTGACCCCAGGTCAGGCGGG +GGCACCCGCTGAGTTTACGC +>gi|2765657|emb|Z78532.1|CCZ78532 C.californicum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAACAGAATATA +TGATCGAGTGAATCTGGAGGACCTGTGGTAACTCAGCTCGTCGTGGCACTGCTTTTGTCG +TGACCCTGCTTTGTTGTTGGGCCTCCTCAAGAGCTTTCATGGCAGGTTTGAACTTTAGTA +CGGTGCAGTTTGCGCCAAGTCATATAAAGCATCACTGATGAATGACATTATTGTCAGAAA +AAATCAGAGGGGCAGTATGCTACTGAGCATGCCAGTGAATTTTTATGACTCTCGCAACGG +ATATCTTGGCTCTAACATCGATGAAGAACGCAGCTAAATGCGATAAGTGGTGTGAATTGC +AGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCTCGAGGCCATCAGGCTAAG +GGCACGCCTGCCTGGGCGTCGTGTGTTGCGTCTCTCCTACCAATGCTTGCTTGGCATATC +GCTAAGCTGGCATTATACGGATGTGAATGATTGGCCCCTTGTGCCTAGGTGCGGTGGGTC +TAAGGATTGTTGCTTTGATGGGTAGGAATGTGGCACGAGGTGGAGAATGCTAACAGTCAT +AAGGCTGCTATTTGAATCCCCCATGTTGTTGTATTTTTTCGAACCTACACAAGAACCTAA +TTGAACCCCAATGGAGCTAAAATAACCATTGGGCAGTTGATTTCCATTCAGATGCGACCC +CAGGTCAGGCGGGGCCACCCGCTGAGTTGAGGC +>gi|2765656|emb|Z78531.1|CFZ78531 C.fasciculatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGCAGAACATA +CGATCGAGTGAATCCGGAGGACCCGTGGTTACACGGCTCACCGTGGCTTTGCTCTCGTGG +TGAACCCGGTTTGCGACCGGGCCGCCTCGGGAACTTTCATGGCGGGTTTGAACGTCTAGC +GCGGCGCAGTTTGCGCCAAGTCATATGGAGCGTCACCGATGGATGGCATTTTTGTCAAGA +AAAACTCGGAGGGGCGGCGTCTGTTGCGCGTGCCAATGAATTTATGACGACTCTCGGCAA +CGGGATATCTGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGATAAGTGGTGTGAAT +TGCAGAATCCCGCGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCT +AAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGATAATGCTTGATTGGCAT +GCGGCTAGTCTGTCATTGTGAGGACGTGAAAGATTGGCCCCTTGCGCCTAGGTGCGGCGG +GTCTAAGCATCGGTGTTCTGATGGCCCGGAACTTGGCAGTAGGTGGAGGATGCTGGCAGC +CGCAAGGCTGCCGTTCGAATCCCCCGTGTTGTCGTACTCGTCAGGCCTACAGAAGAACCT +GTTTGAACCCCCAGTGGACGCAAAACCGCCCTCGGGCGGTGATTTCCATTCAGATGCGAC +CCCAGTCAGGCGGGCCACCCGTGAGTAA +>gi|2765655|emb|Z78530.1|CMZ78530 C.margaritaceum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAAACAACATAATAAA +CGATTGAGTGAATCTGGAGGACTTGTGGTAATTTGGCTCGCTAGGGATATCCTTTTGTGG +TGACCATGATTTGTCATTGGGCCTCATTGAGAGCTTTCATGGCGGGTTTGAACCTCTAGC +ACGGTCCAGTTTGCACCAAGGTATATAAAGAATCACCGATGAATGACATTATTGCCCCAC +ACAACGTCGGAGGTGTGGTGTGTTAATGTTCATTCCAATGAATTTTGATGACTCTCGGCA +GACGGATATCTTGACTCTTGCATCGATGAAGAACGCACCGAAATGTGATAAGTGGTGTGA +ATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGG +CTAAGGGCACGCCTGCCTGGGCGTCGTATGTTTTATCTCTCCTTCCAATGCTTGTCCAGC +ATATAGCTAGGCCATCATTGTGTGGATGTGAAAGATTGGCCCCTTGTGCTTAGGTGCGGT +GGGTCTAAGGATATGTGTTTTGATGGTCTGAAACTTGGCAAGAGGTGGAGGATGCTGGCA +GCCGCAAGGCTATTGTTTGAATCCCCCATGTTGTCATGTTTGTTGGGCCTATAGAACAAC +TTGTTTGGACCCTAATTAAGGCAAAACAATCCTTGGGTGGTTGATTTCCAATCAGATGCG +ACCCCAGTCAGGGGGCCACCCCAT +>gi|2765654|emb|Z78529.1|CLZ78529 C.lichiangense 5.8S rRNA gene and ITS1 and ITS2 DNA +ACGGCGAGCTGCCGAAGGACATTGTTGAGACAGCAGAATATACGATTGAGTGAATCTGGA +GGACTTGTGGTTATTTGGCTCGCTAGGGATTTCCTTTTGTGGTGACCATGATTTGTCATT +GGGCCTCATTGAGAGCTTTCATGGCGGGTTTGAACCTCTAGCACGGTGCAGTTTGCACCA +AGGTATATAAAGAATCACCGATGAATGACATTATTGTCAAAAAAGTCGGAGGTGTGGTGT +GTTATTGGTCATGCCAATGAATTGTTGATGACTCTCGCCGAGGGATATCTTGGCTCTTGC +ATCGATGAAGAATCCCACCGAAATGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGG +GCGTCGTATGTTTTATCTCTCCTTCCAATGCTTGTCCAGCATATAGCTAGGCCATCATTG +TGTGGATGTGAAAGATTGGCCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATATGTGTTT +TGATGGTCTGAAACTTGGCAAGAGGTGGAGGATGCTGGCAGCCGCAAGGCTATTGTTTGA +ATCCCCCATGTTGTCATATTTGTTGGGCCTATAGAACAACTTGTTTGGACCCTAATTAAG +GCAAAACAATCCTTGGGTGGTTGATTTCCAATCAGATGCGACCCCAGTCAGCGGGCCACC +AGCTGAGCTAAAA +>gi|2765652|emb|Z78527.1|CYZ78527 C.yatabeanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATA +TGATCGAGTGAATCTGGATGACCTGTGGTTACTCGGCTCGCCTGATTTGTTGTTGGGCTT +CCTTAGGAGCTTACATGGCGGGTTTGAACCTCTACCACGGTGCAGTTTGCGCCAAGTCAT +ATGAAGCATAACTGCAAATGGCACTACTGTCACCAAAAGTTGGAGTGGCAGTGTGTTATT +GCATGCGCTAATGGATTTTTGATGACTCTCGGCCAACGGATATCTGGCTCTTTGCATCGA +TGAAGGAACGCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGCGAACCATCGA +GTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTC +GTGTATCGCATCTCTCTTGCCAATGCTTACCCGGCATACAACTAGGCTGGCATTGGGTGG +ATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCGGTGGGTCTAAGGATTGATGTTTTGATG +GATCGAAACCTGGCAGGAGGTGGAGGATGCTGGAAGCCGCAAGGCTGTCGTTCGAATCCC +CCATGTTGTCATATTTGTCGAACCTATAAAAGAACATGCTTGAACCCCAATGGATTGTAA +AATGACCCTTGGCGGTTGATTTCCATTTAGATGCGACCCCAGGTCAGGCGGGCCACCC +>gi|2765651|emb|Z78526.1|CGZ78526 C.guttatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATA +TGATCGAGTGAATCTGGAGGACCTGTGGTTACTCGGCTCCCCTGATTTGTTGTTGGGCTT +CCTTAGGAGCTTACATGCCGGGTTTGAACCTCTACCACGGTGCAGTTTGCGCCAAGTCAT +ATGAAGCATAACTGAACAATGGCATTATTGTCACCAAAAGTTGGAGTGGCAGTGTGCTAT +TGCATGCGCTAATGGATTTTTGATGACTCTCGCCAACGGATATCTTGGCTCTTGCATCGA +TGAAGAACCCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGCGAACCATCGAG +TCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCG +TGTATCGCATCTCTCTTGCCAATGCTTACCCGGCATACAACTAGGCTGGCATTGTGCGGA +TGTGAAAGATTGGCCCCTTGTGCCTAGGTGCGGTGGGTCTAAGGATTGATGTTTTGATGG +ATCGAAACCTGGCAGGAGGTGGAGGATGCTGGAAGCCGCAAGGCTGTCGTTCGAATCCCC +CATGTTGTCATATTTGTCGAACCTATAAAAGAACATGCTTGAACCCCAATGGATGTAAAA +TGACCCTTGGCGGTTGATTTCCATTTAGATGCGACCCCAGGTCAGGCGGGGCCACCCGCT +GAGTTTATGT +>gi|2765650|emb|Z78525.1|CAZ78525 C.acaule 5.8S rRNA gene and ITS1 and ITS2 DNA +TGTTGAGATAGCAGAATATACATCGAGTGAATCCGGAGGACCTGTGGTTATTCGGCTTGC +CGAGGGCTTTGCTTTTGTGGTGACCCAAATTTGTCGTTGGGCCTCCTCGGGAGCTTTCAT +GGCAGGTTTCAAACTCTAGCACGGCACAGTTTGTGCCAAGTCATATGAAGCATCACCGAC +AAATGACATTATTGTCAAAAAAGTTGGAGGGGCGGTGTCCTCCTGTGCATGCCGAATATA +ATTTTGATGACTCTCGACAAGCGGATATCTTGGCTCTTGCATCGGATGAAGAACCCAGCG +AAATGCGATAAGTGGTGTGAATTGCAAGATCCCGTGAACCATCGAGTCTTTTGAACGCAA +GTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGTTGTGTCTC +TCTTGCCAATGCCTGTCCATATATCTAGGCTTGCATTGTGCGGATGCGAAAGATTGGCCC +CTTGTGCCTTGGCGCGTTGGGTCTAAGGAATGTTTTGATGGCCCGAAACTTGGCAGGAGG +TGGAGGACATTGGCTGCCACAAGGTTGTCATTTAAATCCCCCATGTTATCGTATTTATCG +GACCTATATAATAACTTGTTTGAACCCCAGTGGAGGCAAAATGACCCTTGGATGGTTGAC +TGCCATTCATATGCGACCCCAGGTCAGGCGGGCCACCCGCTGCA +>gi|2765649|emb|Z78524.1|CFZ78524 C.formosanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATAGTAGAATATA +TGATTGAGTGAATATGGAGGACATGTGGTTACTTGGCTCGTCAGTGCTTTGCTTTTGTGG +TGACCTTAATTGGGCCTCCTTAGGAGCTTTCATGGCGGGTTCAAACCTTTAGCACGGCGC +AGTTTGTGCCAAGTCATATAAGCATCCCTGATGAATGGCATTGTTGTTAAAAAAGTCGGA +GGGGCGGCATGCTGTTGTGCATGCTAATGAATTTTTTGATGACTCTCGCAACGGAACTTG +GCTCTTTACATCCGATGAAGAACGCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATC +CCGTGAACCATCGAGTATTTGAACGCAAGTTGCGCCCAAGGCCATCAGGCTAAGGGCACG +CCTGCCTGGGCGTCGTGTGCTGCATCTCTCCTNCCAATGCTTGCCCAGCATATAGCTAGG +TTAGCATTGTGCGGATGAAATATTGGCCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATT +AGTATTTTGATAGCTCGGAACTCGGCAGGAGGTGGAGAATGTTGGTAGCTGCAAGGCTGC +CATTTGAATTCCCCATGTTGTCGTATTTGTTGAACCTATAAAAGAACTTGTTTGAACCCC +AATGAAGGAAAAATGACCCTTGGGCGGTTGATTTTCATTCAGATGCAACCCCAGGTCAGG +TGGCCACCCTGAGATTAAGC +>gi|2765648|emb|Z78523.1|CHZ78523 C.himalaicum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGAACCTGCGGCAGGATCATTGTTGAGACAGCAGAATATA +TGATCGAGTGAATCCGGTGGACTTGTGGTTACTCAGCTCGACATAGGCTTTGCTTTTGCG +GTGACCCTAACTTGTCATTGGGCCTCCTCCCAAGCTTTCCTTGTGGGTGTGAACCTCTAG +CACGGTGCAGTATGCGCCAAGTCATATGAAGCATCACTGAGGAATGACATTATTGTCCCA +AAAGCTAGAGTGGAAGCGTGCTCTTGCATGCATGCATAATGAATTTTTTATTGACTCTCG +ACATATGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCG +CCCGATGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTAT +CAATGCTTTCCTATCATATAGATTGGTTTGCATTGCGTGGATGCGAAAGATTGGCCCCTT +GTGCCTAGGTGCGGTGGGTCTAAGGACTAGTGTTTTGATGGTTCGAAACCTGGCAGGAGG +TGGAGGATGTTGGCAGCTATAAGGCTATCGTTTGAACCCCCCATATTGTCGTGTTTGTCG +GACCTAGAGAAGAACCTGTTTGAATCCCAATGGAGGCAAACAACCCTCGGGCGGTTGATT +GCCATTCATATTGCGACCCAGGTCAGGCGGGGCCACCGCTGAGTTTAAG +>gi|2765647|emb|Z78522.1|CMZ78522 C.macranthum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGCAGAATATA +TGATCGAGTGAATCCGGTGGACTTGTGGTTACTCAGCTCGACATAGGCTTTGCTTTTGCG +GTGACCCTAATTTGTCATTGGGCCTCCCCCCAAGCTTTCCTTGTGGGTTTGAACCTCTAG +CACGGTGCAGTATGCGCCAAGTCATATGAAGCATCACTGATGAATGACATTATTGTCCAA +AAAGTTGGAGTGGAAGCGTGCTATTGCATACATGCAAATGAATTTTTTATGACTCTCGAC +ATATCGTGGTGTGATCGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCC +CGATGCCATCAGGCTAAGGGAACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGTCA +ATGGTTATACGTCATATAGACAGGTTTGCATTGCGTGGATGTGAAAGATTGGCCCCTTGT +GCCTAGGTGCGGTGGGTCTAAGGACTAGTGTTTTGATGGTTCGAAACCTGGCAGGAGGTG +GAGGATGTTGGCAGCTATAAGGCTATCATTTGAATCCCCCATATTGTCGTGTTTGTCGGA +CCTAGAGAAGAACATGTTTGAATCCCAATGGGGGCAAACAACCCTCGGGCGGTTGATTGC +CATTCATATGCGACCCCAGGTCAGGCGGCCACCCGCTGAG +>gi|2765646|emb|Z78521.1|CCZ78521 C.calceolus 5.8S rRNA gene and ITS1 and ITS2 DNA +GTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATATGATCGAGTGAATCC +GGTGGACTTGTGGTTACTCAGCTCGACATAGGCTTGGCTTTGGCGGTGACCCTAATTTGC +CATTGGGCCTCCTCCAAAGCTTTCCTTGTGGGTTTGAACCTCTAGCACGGTGCAGTATGC +GCCAAGTCATATGAAGCATCACCGATGAATGACATTATTGTCAAAAAGTTGGAGTGGAAG +CGTGCTATTGCATGCATGCAAATGAATTTTTTATGACTCTCGACAACGGATATCTTGGCT +CTTGCATCGATGAAGAACGCAGCAAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGTG +AACCATCGAGTCTTTGAACGCAAGTTGCGCCCGATGCCATCAGGCTAAGGGCACGCCTGC +CTGGGCGTCGTGTGCTGCGTCTCTCCTGTCAATGCTTTCATGTCATATAGATAGGTTTGC +ATTGCGTGGATGTGAAAGAATGGCCCCTTGTGCCTAGGTACGGTGGGTCTAAGGACTAGT +GTTTTGATGGTTCGAAACCTGGCAGGAGGTGGAGGATGTTGGCAGCTATAAGGCTATCAT +TTGAATCCCCCATATTGTCGTGTTTGTCGGACCTAGAGAAAAACATGTTTGAATCCCAAT +GGAGGCAAACAACTCTCGGGCGGTTGATTGCCATTCATATGCGACCCCAGGTCAGGCGGG +GCCACC +>gi|2765645|emb|Z78520.1|CSZ78520 C.segawai 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGCAGAATATA +TGATCGAGTGAATCCGGTGGACTTGTGGTTACTCAGCTCGCCATAGGCTTTGCTTTTGCG +GTGACCCTAATTTGTCATTGGGCCTCCTCCAAAGCTTTCCTTGTGGGTTTGAACCTCTAG +CACGGTGCAGTATGCGCCAAGTCATATGAATCATCACCGATGAATGACATTATTGTCCAA +AAAGTTGGAGTAGAAGCGTGCTATTGCATGCATGCAATAGAATATTTTATGACTCTCGAC +AAGGGATATCTTGGCTCTTGCATCGGATGAAGAACGCAGCGAAATTGTGATAAGTGGTGT +GAATTGCAGAATCCCGTGAACCATCGAGTATGTGAACGCAAGTTGCGCCCGATGCCATCA +GGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGTCAATGCTTTCCTG +TCATATCGATAGGTTTGCATTGTGTGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCG +GTGGGTCTAAGGACTAGTGTTTTGATGGTTCGAAACCTGGCAGGAGGTGGAGGATGTTGG +CAGCTATAAGGTTGTCATGTGAATCCCCCATATTGTCGTGTTTGTCGGACCTGGAGAAGA +ACCTGTTTGAATCCCAATGGAGGCAAACAACCCTCGGGCGGTTGATTGCCATTCATATGC +GACCCCAGGTCAGGCGGGCCACCCGCTGAGTTT +>gi|2765644|emb|Z78519.1|CPZ78519 C.pubescens 5.8S rRNA gene and ITS1 and ITS2 DNA +ATATGATCGAGTGAATCTGGTGGACTTGTGGTTACTCAGCTCGCCATAGGCTTTGCTTTT +GCGGTGACCCTAATTTGTCATTGGGCCTCCTCCCAAGCTTTCCTTGTGGGTTTGAACCTC +TAGCACGGTGCAGTATGCACCAAGTCATATGAAGCATTGCCGATGAATGACATTATTGTC +CAAAAGTTGGAGTGGAAGCGTGCTACTGCATGCATGCAAATGAATTTTTTTATGACTCTC +GACAACGGATATCTTGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGATAAGTGGTG +TGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGATGCCATC +AGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGTCAATGCTTTCCC +ATCATATAGATAGGTTTGCATTGTGTGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGC +GGTGGGTCTAAGAACTTAATGTTTTGATGGTTCGAAACCTGGCAGGAGGTGGAGGATGTT +GGCAGCTATATAAGGCTATCATTTGAATCCCCCATATTGTCGCGTTTGTTGGACCTAGAG +AAGAACATGTTTGAATCCCAATGGAGGCAAACAACCCTCGGGCGGTTGATTGCCATTCAT +ATGCGACCCCAGGTCAGGCGGGGCCACCCGCTGAGTTTA +>gi|2765643|emb|Z78518.1|CRZ78518 C.reginae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGGAGGATCATTGTTGAGATAGTAGAATATT +CGATCGAGTGAATCCGGAGGACTTGTGGTTACTCGGCTCGTCGAAGGCTTAACTTTTGTG +GTGACCCTGATTTGTAGTTGGGCATCCTCGAGAGCTTTTATGGCGGGTTTGAGCCTCTAT +CACGGCGCAGTTTGCGCCAAGTCATATGAAGCATCGCCGACGAATTACATTATTGTCCCC +CAAACTCGGATGGACGGTGTGTGTTACGCATACCCGTGAACCATCGAGTCTTTGAACGCA +AGTTGCGCCCAAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCATCT +CTTTTGCCAATGCTTGCTCGACATACAATTAGGCCAGTATTGCATAGATATGAAAGATTG +ACCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATTGGTGTTTTGATGGCCCAAACCCCGG +CAGGAGGTGGAGCATGTTGATAGTCGCAAGGCTGTCGTTCAAATCCCACATGTTGTCGTA +TTTGCCGGACCCACAGAAGAACCTATTTGAACCCCTATGGAGGCAAAACAACCCTTGAGC +GATTGATTGCCATTCAGATACGACCCCAGGTCAGGCGGGGCCACCCGCTGAGTTTTCC +>gi|2765642|emb|Z78517.1|CFZ78517 C.flavum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATA +CGATCGAGTGAATCCAGAGGACTTGTGGTTACTCGGCTCGTCCAAGTCTTAGCTTTTGTG +GCCCTGATTTGTCGTTGGGCATCCTCAGGAGATTTTATGGCGGGTTTGAACCTCTATCAC +GGTGCAGTTTGCGCCAAGTCATATGAAGCATCACCGATGAATGACATTATTGTCACAAAA +GTCGGATGGGCGGTGTGCTGTTGTGCATGCCAATAAATTTTTGATGACTCTCGGCCAACG +GATATCTTGCTCTTCCATCGATGAAGAACGCAGCGAAATGCGATAAGTGGTGTGAATTGC +AGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCAAGGCCATCAGGCTAAG +GGCACGCCTGCCTGGGCGTCGTGTGCTGCATCTCTTTTGCCAATGCTTGCCCGACATACA +ATTAGGACAGTATTGCATAGATATGAAAGATTGACCCCTTGTGCTTAGGTGCGGTGGGTC +TAAGGATTGGTGTTTTGGTGGCCCGAACCCCGGCAGGAGGTGGATCATGTTGATAGTCGC +AAGACTGTCATTCAAATCCCACATGTTGTCGTATTTGTCGGACCCACAGAAGAACCTATT +TGAACCCCAATGGAGGCAAAACAACCCTCGAGCGATTGATTGCCATTCAGATACGACCCC +AGGTCAGGCGGGGCCACCCGCTGAGTTTAAGC +>gi|2765641|emb|Z78516.1|CPZ78516 C.passerinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTATAATATA +TGATCGAGTGAATCCGGAGGACTTGTGGTTACTCGGCTCGTCCAAGTCTTAGCTTTTGTG +GCCCTGATTTGTCGTTGGGCATCCTCAGGAGCTTTTATGGCGGGTTTGAACCTCTATCAC +GGCGCAGTTTGCGCCAAGTCATATGAAGCATCACCGACGAATGACATTATTGTCACCAAA +GTCGGATGGGCGGTGTGCTATTGTGCATACCAATAATTTTTTGATGACTCTCGTCAACGG +ATATCTTAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCT +TTGAACGCAAGTTGCGCCCAAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGT +GCTGCATCTCTTTTGCCAATGCTTGCCCGACATACAATTAGGCCAGTATTGCATAGATAT +GAAAGATTGACCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATTGGTGTTTTGATGTCCC +GAACCCCGGCAGGAGGTGGAGCATGTTGATAGTCGCAAGACTATCGTTCAAATCCCACAT +GTTGTCGTATTTGTCGGACCCACAGAAGAACCTATTTGAACCCCAATGGAGGCAAAACAA +CCCTCGAGTGATTGATTGCCATTCAGATATGACCCCAGGTCAGGCGGGGCCACCCGCTGA +GTTTAA +>gi|2765640|emb|Z78515.1|MXZ78515 M.xerophyticum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGCTGAGACCGTAGAATAAA +CGATCGAGTTAATCTGGAGGACCGGTGTACTTCGATCTCCCAGGGGCTTTCGCTACTGTG +GTGGCCTTTGATCTGCCATCGGGCCTCCTTGGGAGTGTTCTTGAAGGCGATCAAACTTCT +AGCCCGGCGCAGCTTCGCGCCAAGTCTTTTGAGACAAGAATCGGCATAGGGGTGTTCCCT +TGTAGCCGGTGGGGGTGGCACTTGATTCGTGCCCCCCAAGTTACATTTTTACAACTCTCG +GCAACGGATATCTCGGCTCTTGCATCGATGGAGGACGCAGCGAAATGCGATAAGTGGTGT +GAATTGCAGAATCCCGTGAACATCGAGTCTTTGAACGCAAGTTGCGCTCGAGGCCGTCAG +GCTAAGGGCACGCCTGCCTGGGCGTTGTGTACTGTGTCTCTCCCACCAATGGTTGTCCAA +GAATACCGTTCGGTCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGGTTCAATGGGTC +TAAGACCTCGGGCTTTTGATGGTCCAAAATTCGACAAGAGGTGGATGGGCAATGGCTGAG +CCAAAGCTGTTGTGCGAATGCCGTATGTTGTCCGATTTGATGGGCCATCATAATTCGTAG +GACCCTTCGGAACCCCATTGGTGCCACATCAACCCAACCCATGGGCGGTTGATTGCCATT +TGGAAGCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAGC +>gi|2765639|emb|Z78514.1|PSZ78514 P.schlimii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGGACCTTCGGGAGGATCATTTTTGAAGCCCCCAAATATA +CGATCGAGATAATCCGGAGGACCGGTGTACTTTGGTCTCCCAGGGGCTTCCGCCGCTGTG +GTGACCATGATTTCCCATCGAACCTCCTTGGGAGAGTTCTCTATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCTCCAAGTCAAATGAGATAGAACCGACAAGGGTCTTCGTCCTCC +ATGGATGGACCGGGGAGGGCCGGCGTGCTGCTGTGCCCCCTTAAGATTCGTCTGACAACT +CTCGTCAACGGATATCTCGGCTCTTGCATCGATGAAGAACCCAGCGAAATGTGATAAGTG +GTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCC +ATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCAATGCTAAGGT +TGAACAGCCATACTGTTCGGCCGGCGAGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCG +ATGGGTCCAAGACTTGGGCTTGTGACGGTCCACAAATCCGGCAAGAGGTGGACGGACGGT +GGCTGCGACAAAGCTGTTGTGCGAATGCCCTATGTTGTCGTATTTGATGGGCCGGAATGA +TCCCTTTCGAACCCCGTCGGAGGCACGTCGACCCAACCCATGGGCGGTTGACGGCCATTA +GGATGCAACCCCAGGTCAGGTGAGACTACCCGCTA +>gi|2765638|emb|Z78513.1|PBZ78513 P.besseae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATACA +CGATCGAGTTAATCCGGAGGACCGGTGTACTTTGGTCTCCCAGGGGCTTCCGCCGCTGTG +GTGACCATGATTTGCCATCGAGCCTCATTGGGAGATTTCTCCATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCAAATGAGATAGAACCGGCAAGGGCATCGTCCTCCA +TGGAGCCGGGGAGGCCGGCATGCTGCTGTGCCCGAAAGAATTTTCGACAACTCTCGGCAA +CGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGTGATAAGTGGTGTGAAT +TGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCT +AAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCAATGCTAAGGTTGAACAGC +CATACTGTTCGGCCGGCGAGGATGAGAGTTTGGCCCCTTGTTCTTCTGTGCGATGGGTCC +AAGACTTGGGCTTGTGACGGTCCACAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGA +CGAAGCTTTTGTGCGAATGCCCTATGTTGTCGTATTTGATGTGCCAGAACGATCCCTTTC +GAACCCCTTCGGAGGCACGTCGACCCAACCCATGGGCGGTGACGCCATTAGGATGCAACC +CAGTCAGTGAGCTACCGCTGAG +>gi|2765637|emb|Z78512.1|PWZ78512 P.wallisii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGGACCTTCGGGAGGATCATTTTTGAAGCCCCCAAAAAAA +CGATCGAATTAATCCGGAGGGCCGGTGTAGTTTGGTCTCCCAGGGGCCTTGGCTACTGTG +GTGACCGTGAATTTCCGTCGAACCCTCTGGGAGGAATTCTTGATGGCAAATGAAACCCTT +GGCCCGGCGCAGTTTCGCCCCAAATCAAATGAGATGGAACCGGCGGAGGGCATCGTCCCC +CATGGAACCGGGGAGGGCCGGCGTTCTTCCGTTCCCCCAATGAAATTATTTTTTGACAAC +TCTCGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGTGATAAGCT +GGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGC +CATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCATTGCTAA +GGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTCTTCGGT +GCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGACGGACG +GTGGCTGCGACGAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTATTTGATGGGCCGGAAT +AAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGGTCATTTGG +ATCCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAGC +>gi|2765636|emb|Z78511.1|PEZ78511 P.exstaminodium 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTTCGGAAGGATCATTGTTGAGACCCCCAAAAAAA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGCTACTGTG +GTGGCCGTGAATTTCCGTCGAACCTCCTTGGGAGAATTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCCCCAAGTCAAATGAGATGGAACCGGCGGAGGGCATCGTCCTCC +ATGGAACCGGGGAGGGCCGGCGTTCTTCCGTTCCCCCCATGAATTTTTTTTTGACAACTC +TCGGCAACGGATATCTCGGCTCTTTGCATCCGATGAAAGAACCCAGCGAAATGTGATAAG +TGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGG +CCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCATTGCTA +AGGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTCTTCGG +TGCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGACGGAC +GGTGGCTGCGACGAAGCTGTCGTGCGAATGCCCTACGCTGTCGTATTTGATGGGCCGGAA +TAAATCCCTTTTGAGCCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGGCCATTTG +GATGCAACCCCAGGTCAGGTGAGGA +>gi|2765635|emb|Z78510.1|PCZ78510 P.caricinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CTAACCAGGGTTCCGAGGTGACCTTCGGGAGGATTCCTTTTTAAGCCCCCGAAAAAACGA +TCGAATTAAACCGGAGGACCGGTTTAATTTGGTCTCCCCAGGGGCTTTCCCCCCTTGGTG +GCCGTGAATTTCCATCGAACCCCCCTGGGAGAATTCTTGGTGGCCAATGGACCCTTGGCC +CGGCGCAATTTCCCCCCCAATCAAATGAGATAGGACCGGCAGGGGGCGTCCCCCCCCATG +GAACCGGGGAGGGCCGGCATTCTTCCGTTCCCCCCTCGGATTTTTTGACAACTCTCGCAA +CGGATATCTCGCCTCTTTGCATCGGATGGAAGAACGCAGCGAAATGTGATAAGTGGTGTG +AATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAG +GCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAAC +GGGCATACTGTTCGGCCGGCGCGGATGAGAGATTGGCCCCTTGTTCTTCGGTGCGATGGG +TCCAAGACCTGGGCTTTTGACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGC +GACAAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTTTTTGATGGGCCGGAATAAATCCCT +TTTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTTGACGGCCATTTGGATGCAACC +CCAGGTCAGGTGAGCCACCCGCTGAGTTTA +>gi|2765634|emb|Z78509.1|PPZ78509 P.pearcei 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCGCTGTG +GTGACCGTGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCGGAGGGCGTCGTCCTCC +ATGGAGCGGGGAGGGCCGGCATGCTCCGTGCCCCCCCATGAATTTTTCTGACAACTCTCG +GCAACGGACGTAACAAGGTTTAAATGTGATAAGCAGGTGTGAATTGCAGAATCCCGTGAA +CCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGTTAAGGGCACGCCTGCCT +GGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAACGGGCATACTGTTCGGCCGG +CGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTG +ACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGACAGAGCTGTCGTGCGAA +TGCCCTACGTTGTCGTTTTTGATGGGCCAGAATAAATCCCTTTTGAACCCCATTGGAGGC +ACGTCAACCCAATGGGGGGTGACGGGCATTTGGTTAACCCCGGCAAGTTAAGGCACCCGT +TAATTTTAGGA +>gi|2765633|emb|Z78508.1|PLZ78508 P.longifolium 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCGCTGTG +GTGACCGTGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCAGGGGGCGTCGTCCTCC +ATGGAGCCGGGGAGGGCCGGCATGCTGCCGTGCCCCCAATGAATTTTTTGACAACTCTCG +GCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGTGATAAGTGGTGT +GAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCA +GGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAA +CGGGCATACTGTTCGGCCGGCGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGG +GTCCAAGACCTGGGCTTTTGACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTG +CGACAGAGCTGTCGTGCGAATGCCCTACGTTGTCGTATTTGATGGGCCGGAATAAATCCC +TTTGAACCCCATTGGAGGCACGTCAACCCCATGGGCGGTGACGGCCACTTGGATGCAACC +CAGTCAGTGAGCCACCGCTGA +>gi|2765632|emb|Z78507.1|PLZ78507 P.lindenii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCCCCAAAAAAA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGCTACTGTG +GTGACCGTGAATTTCCGTCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCCCCAAGTCAAATGAGATGGAACCGGCGGAGGGCATCGTCCTCC +ATGGAACCGGGGAGGGCCGGCGTGCTTCCGTCCCCCAATGAATTTTTTTGACAACTCTCG +CAACGGATATCTCGCTCTTGCATCGATGAAGAACACAGCGAAATGTGATAAGTGGTGTGA +ATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGG +CTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCATTGCTAAGGCTGAA +CAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTCTTCGGTGCGATGG +GTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGACGGACGGTGGCTG +CGACGAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTATTTGATGGGCCGGAATAAATCCC +TTTGAACCCCATTGGAGGCACGTCAACCCGTGGCGGTCGACGGCCATTTGGATGCAACCC +AGTCAGTGAGCCACCGCTGA +>gi|2765631|emb|Z78506.1|PLZ78506 P.lindleyanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCAAAATATA +CGATCGAGTTAATCCGGAGGACTGGTGTAGTTTGGTCTCCCAGGGGCGTTGGCTACTGCG +GTGACCATGATTTTCCATCGAGCCTCCTCGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCGTATGAGATAGAACCGGCAGAGGGCTTCGTCCTCC +ATGGAACCGGGGAGGACCGGCATGCCGCCGTACCCCCTTTGAATCGGGCTGACAACTCTC +GTTCAAGGAGCCCTCAGCTCATAATGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAAC +CATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTG +GGCGTTGCGTGCTGCATCTCTCCCGTTGCTAAGGTCGAACAGGCATATACTGTTCGGCCG +GCGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTT +GACGGTAAAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGACAAAGCTGTCGTGCGA +ATGCCCTACGTTGTCGTATTTGATGGGCCAGAATAAATCCCTTTTGAACCCCATTGGAGG +CACGTCAACCCATGGGCGGTTTGACGGCCATTGGATGCCAACCCAGTCAGGTGAGGCCAC +CCGCTGA +>gi|2765630|emb|Z78505.1|PSZ78505 P.sargentianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACTGGTGTAGTTTGGTCTCCCAGGGGCGGTGGCTACTGCG +GTGACCATGATATTCCATCGAGCCTCCTCGGGAGATTTCTTGATGGCAATTGAACCCGTG +GCCCGGCGCAGTTTCGCGCCAAGTCGTATGAGATAGAACCGGCAGAGGTCTTCGTCCTCC +ATGGAACCGGGGAGGCCCGGCATACCACCATACCCCCAATGAATCTTTGTGACAACTCTC +GTCAATGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCA +AGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCT +CTCCCGTTGCTAAGGTCGAACAGGCATACTGTTCGGTCGGCGCGGATGAGAGTTTGGCCC +CTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGGTAAAAAATCCGGCAAG +AGGTGGACGGACGGTGGCTGCGACAAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTATTT +GATGGGCCGGAATAAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTT +GACGGCCATTTGGATGCAACCCCAGGTCAGGTGAGCCACCCGCTGAGTTTT +>gi|2765629|emb|Z78504.1|PKZ78504 P.kaiteurum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTTCGGAAGGATCATTGTTGAGACCGCAAAATATA +CGATCGAGTTAATCCGGAGGACTGGTGTAGTTTGTCTCCCAGGGGCGTTGGCTACTGCGG +TGACCATGATTTTCCATCGAGCCTCCTCGGGAGATTTCTTGATGGCAATTGAACCCTTGG +CCCGGCGCAGTTTCGCGCCAAGTCGTATGAGATAGAACCGTCAGAGGGCATCGTCCCTCC +ATGGAGCCGGGGAGGGCCGGCATGCCCGCCGTGCCCCCAATGAATCTTTTTGACAACTCT +CGCAACGGATATCTCGCTCTTCATCGATGAAGAACGCAGCGAAATGTGATAAGTGGTGTG +AATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGCCATCAGG +CTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCGTTGCTAAGGTCGAACA +GACATACTGTTCGGCCGGCGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGT +CCAAGACCTGGGCTTTTGACGGTACCAAATCCGACAAGAGGTGGACGGACGGTGGCTGCG +ACAAAACTGTCGTGCGAATGCCCTACGTTGTCGTATTTGATGGGCCAGAATAAATCCCTT +TTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTGACGGCCATTGGATGCAACCCCA +GTCAGTGAGCCACCGCTGAGTAA +>gi|2765628|emb|Z78503.1|PCZ78503 P.czerwiakowianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGAACCTCCGGAAGGATCCTTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCGCTGTG +GTGTCCGTGATTTACCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCATG +GCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCAGGGGGCGTCGTCCTCC +ATGGAACCGGGGAGGGCCGGCATGCTACCGTACCCCCAATGAATTATTTTGACAACTCTC +GGCAACGGAGTCTCAGCTCTTTGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGC +GTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAACGGGCATACTGTTCGGCCGGCGCG +GACGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGG +TCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGACAAAGCTGTCGTGCGAATGCC +CTACGTTGTCGTATTTGATGGGCCAGAATAAATCCCTTTTGAACCCCATTGGAGGCACGT +CAACCCATGGGCGGTTGACGGCCATTTGGATGCAACCCCAGGTCAGGTGAGCCACCCGCT +GAGATAA +>gi|2765627|emb|Z78502.1|PBZ78502 P.boissierianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCCCTGTG +GTGACCGTGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCATG +ACCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCAGGGGTCGTCGTCCTCC +ATGGAGCCGGGGAGGGCCGGCATACTACCGTCCCCCCAATGAATTTTATATTGACAACTC +TCGGCCGGAATCTCGGCTCTTGCATCGATGGAAGGACGCAGCGAAAATGTGATAAGTGGT +GTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCAT +CAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTG +AACGGGCGTACTGTTCGGCCGGCGCGGACGAGAGTTTGGCCCCTTGTTCTTCGGTGCGAT +GGGTCCAAGACCTGGGCTTTTGACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGC +TGCGACAAAGCTGTCGTGCGAATGCCCTACGTTGTCGTATTTGATGGGCCAGAATAAATC +CCTTTTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTTGACGGCCATTTGGATGCA +ACCCCAGGTCAGGTGAGGCCACCCCGTGAGTTTACGC +>gi|2765626|emb|Z78501.1|PCZ78501 P.caudatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCAAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGTTACTGTG +GTGACCGTGACTTTGCCGTCGAGCCTCCTTGGGAGATTTCTTGATGGAAATTGAACCCTT +GGCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATGGAACCGGCGGAGGGAATCGTCCTC +CATGGAGCCGGGGAGGGCCGGCGTGTTGCCGTGCCCCCAATGAATTTTTTTTTGGGCAAC +TCTCGGCCAAACGGGAAATCTCGGCTCCTTGCATCGGATGGAAGGACGCAGCGAAATTGT +GATAAGTGTTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCG +CCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCC +ATTGCTAAGGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGT +TCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTG +GACGGACGGTGGCTGCGACGAAGCTGTCGAGCGAATGCCCTACGCTGTCGTATTTGATGG +GCCGGAATAAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGG +CCATTTGGATGCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAGA +>gi|2765625|emb|Z78500.1|PWZ78500 P.warszewiczianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGCTCATTGTTGAGACCGCAAAATAAT +TGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGTTACTGTG +GTGACCGTGACTTTGCCGTCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTT +GGCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATGGAACCGGCGGAGGGCATCGCCCTC +CATGGAGCCGGGGAGGGCCGGCGTCCTGCCGTGCCCCCAATGAATTTTTCTTTGGGAAAA +CTTCTCGGCCAACGGGAATCTCGGCTCTTTGCATCGGATGGAAGGACGCAGCGAATTGTG +ATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCC +CGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCAT +TGCTAAGGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTC +TTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGA +CGGACGGTGGCTGCGACGAAGCTGTCGTGCGAATGCCCTACGCTGTCGTATTTGATGGGC +CGGAATAAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGGCC +ATTTGGATGCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAG +>gi|2765624|emb|Z78499.1|PMZ78499 P.micranthum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAGGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGATAATCCAGAGGATCGGTTTACTTTGGTCACCCTTGGGCGCCTGCTATTGCG +GTGACCTAGATTTTCCATGGAGGGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACC +CTTGCCCGTCGCAGTTTTGCACCAAGTCATATGACACATAAATGGTGAAGGACATACCCC +CTTCGTTGAATTCGAGGAGGGGACGGCATGTGGCCTTGACCTCTCCCAATTATTTTTTTG +ACAACTCTCAGCCAACGGATATCTCGGCTCTTTGCATCGGATGGAGGACGCAGCGAAATG +CGATAAGTGTGTGAATTGCAAGATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGC +CCAAGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAA +TGAGGCTGTCCATGCATACTGTTCAGCCGGTGCGGATGTGAGTTTGCCCCCTTGTTCTTT +GGTGCTGGGGGTCTAAGAGCTGCAGGGGCTTTTGATGGTCCTAAATTCGGCAAGAGGTGG +ACGAATCATGCTACAACAAAACTGTTGGGCGAATGCTCCAGGTTGTCGTATTAGATGGGC +CATCATAATCTAGAGACCCTTGTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTG +ATGGCCTTTTGGATGCGACCCCAGGTCAGGTGAGCAACC +>gi|2765623|emb|Z78498.1|PMZ78498 P.malipoense 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAAGGTCATTGTTGAGATCACATAATAAT +TGATCGAGTTACTCCAGAGGATCAGTTTACTCCGGTCACCCATGGGTGCTTGCTATTGCG +GTGACCTAGATTTGCCATGGAGCCTCCTTGGGAGTTTTCTTGCCGGCGATCTTACCCTTG +CCCGGGGCAGTTTTGCCCCAAGTCATATGACACAATAATGGCGAAGGAGGGGGCGGCATT +TTGCCCTTGACCCTACAATCACTCCCCCTCTCCAAATTATTTTTGGACAACTCTCAGCAA +CGGATATCTCGGCTCTTGCATCGATGAAGAACCCAGCGAAATGCGATAAGTGGTGTGAAT +TGCAGGATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCAAGGCCATCAGGCC +AAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTACATGC +ATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGGTGCTGGGGGTCTA +AGAGCTGCAGGGGCTTTTGATGGTCCTAAATTCGGCAAGAGGTGGACGAATTACAACAAA +ACTGTTGTGCGAATGCTCCAGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCT +TGTGAACCCCACTGGAGGCACATCAACCCGTGATCAGTTGATGGCCATTTGTTGCGACCC +CAGTCAGTGAGCAACCCGCTGAGTTTAAGC +>gi|2765622|emb|Z78497.1|PDZ78497 P.delenatii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTGAATCCAGAGGATCAGTTTACTTTGGTCGCCCATGGGCGCTTGCTATTGCG +GTGACCTAGATTTGCCATGGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACCCTTG +CCCGGCGCAGTTTTGCGCCAAGTCACATGACACATAAATGGTGAAGGGCACGGCCCTTTG +TGAATTCAAGGAGGTGAAGGGCATGTGGCCTTGAGCCTACACTCCCTCCCCCTCTCCAAA +TTATTTTTTGTGAAACAACTCTCAGCAACGGAGATCTCAGCTCTTGCATCGATGAAGGAA +CGCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGA +ACGCAAGTTGCGCCCAAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCA +TATCTCTCCCTTAACGAGGCTGTCCAGGCATACTGTTCAGCCGGTGCGGGTGTGAGTTTG +GCCCCTTGTTCTTTGGTGCTGGGGGTCTAAGAGCTGCAGGGGCTTTTGATGGTCCTAAAT +TCGGCAAGAGGTGGACGCAACGCGCTACAACAAAACTGTTGTGCGAATGCCCCGGGTTGT +CGTATTAGATGGGCCAGCATAATCTAAACACCCTTGTGAACCCCATTGGAGGCCCATCAA +CCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTGAGGCAACCCGCTGA +GTTTAAGC +>gi|2765621|emb|Z78496.1|PAZ78496 P.armeniacum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCCAGAGGATCGGTTTACTTTGGTCACCCTTGGGCGCCTGCTATTGCG +GTGACCTAGATTTGCCATGGAGGGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACC +CTTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGCATATCCC +TTCGTGAATTCGAGGAGGGGCCGGCATGTGGCCTTGACCTCTCCAATTAATTTTTTGAAC +AACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGGAGGGACGCACCGAAATGCGAT +AAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCGCCC +AAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAAT +GAGGCTGTCCATGCATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTG +GTGCTGGGGGTCTAAGAGCTGCAGGGGCTTTTGATGGTCCTAAATTCGGCAAGAGGTGGA +CGAATCATGCTACAACAAAACTGTTGGGCGAATGCTCCAGGTTGTCGTATTAGATGGGCC +ATCATAATCTAGAGACCCTTGTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGA +TGGCCTTTTGGGTTGCGACCCCAGGTCAGGTGAGGCAACCAGCTGAGTTTAAGC +>gi|2765620|emb|Z78495.1|PEZ78495 P.emersonii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATAATCCAGAGGATCGGTTTACTTTGGTCACCCATGGGCGCTTGCTATTGCG +GTGACCTAGAGTTGCCATGGAGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACCCT +TGTCCGGCGCGGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGCATAGCCCTT +CGTGTATTCAAGGAGGGGGGGCGGCATGTGGCCTTGACACTGCACTCGCTCTCCCCCTCT +CCAAAGTATTTTTCTGAACAACTCTCAGCAACGGATATCTCAGCTCTTGCATCGGATGGA +GGAACGCAGCGAAATCCGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCT +TTTGAACGCAAGTTGCGCCCGAGGCCATGAGGCCAAGGGCACGCCTGCCTGGGCATTGCG +AGTCATCTCTCTCCCTCAATGAGGCTGTCCATGCATACTGTTCAGCCGGTGCGGATGTGA +GTTTGGCCCCTTGTTCTTTGGTGCTGGGGGTCTAAGAGCAGCAGGGGCTTTTGATGGTCC +TAAATTCGGCAAGAGGTGGACGAATCAGGCTACAACAACACTGTTGTTGTGCGAATGCTC +CAGGTTGTCGTATTAGATGGGCCGGCATAATCCAGAGACCCTTGTGAACCCCATTGGAGG +CCCATCAACCCATGATCAGTTGATGGCCATTCGGTTGCGACCCCAGGTCAGTGAGCAACC +CGCTGAGTG +>gi|2765619|emb|Z78494.1|PNZ78494 P.niveum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGGTCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGACATTTACTGTTGCA +GTGACCTAGATTTACCATCGGGCCTCCTTGGGAACTTTCCTGCTGGCGATCTATACCCTT +GCCCGGCGCAGTAATGCGCCAAATCAAATGACCCATAATTAATGAAGGGGGACGGCATAC +TGCCTTGACCAACTCCCCATTATTGAGGTAACACTCTCAACTTCGGATATCTCAGGTGTG +AATTGCAGAATCCCGTTAACATCGAGTCTTTGAACGCAAGTTGGGCCCGAGGCCAACAGG +CCAAGGGAACGCCTGTCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCAT +ACGTACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGGTACGGGGGGTC +TAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTA +CAACAAAACTGTTGTGCGAATGCCCCGGGTTGTTGTGTTTAATCAGAAGACCCTTTTGAA +CCCCATTGGAGGCCCATCGACCCATGATCAGTTGAATGGCCATTTGGTTGCGATCCCAGG +TCAGGTGAGGCAACCCGCTGAGTTTAAG +>gi|2765618|emb|Z78493.1|PGZ78493 P.godefroyae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGATTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCGGTTTACTTTGGTCACCCATGGGCATTTTCTGTTGCA +GTGACCTAGAATTTCCATCGGGCCTCCCTGGGAGCTTTCCTGCTGGCGATCTATACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCAAATTTTACATAAGTGGTGAAGGGGGGCGGCATTC +TTCCTTGACCAGCCCCCAAGTATTTAGGTAACAACTCTCAGCAACGGATATCTCGGCTCA +TGCATCGATGAAGGAACGCAGCGAGATTCGATAAATGGTGTGCCTTGCAGAATCCCGTGA +ACCATCGAATCTTTGAACGCAAGTTGCGCGCGAGGCCATCAGCCCAAGGGGACGCCTGCC +TGGACATTGCGACTCATATCTCTCCCTTAATGAGGCTGTCCAAACGTACTGGTCATCCGG +TGTGGATGTGAGTTTGGCCCCTTGTTCTTCGGTACGGGGGGTCTAAGAGCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGC +GAATGCCCCGGGTTGTTGTGTTTAATCAGAAGACCCTTTTGAACCCCATTGGAGGCCCAT +CGACCCATGATCAGTTGAATGGCCATTTGGTTGCGATCCCAGGTCAGGTGAGGCAACCC +>gi|2765617|emb|Z78492.1|PBZ78492 P.bellatulum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCACGGGCATTTGCTGTTGCA +GTGACCTAGAATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTATACCCT +TGCCCGGCGCAGTTTTGCGCCAAGTCATATGTCACATAATTGGTGAAGGGGGGGAGCGTA +CTGCCTTGACCCACTCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGATGTAGAACCCAGCGAAATGCGATACTGGTGTGATTTGCAGAATCCCGTGGA +CCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCT +GGGCATTGCGAGTCAAATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGT +GCGGATGTGAGTTTGGCCCCTTGTTCTTTGGGACGGGGGGTCTAAGAGCTGCACGGGCTT +TTGATGGTCCTAAATACGGCAAGAGGTGGACGAATTATGCTACAACAAAACTGTTGTGCG +AATGCCCCGGGTTGTTGTGTTACATGGGCCAGCTTAATCAGAAGACCCTTTTGGACCCCA +TTGGAGGCCCATCAACCCATGATCAGTTGATTGGCCATTTGGTTGCGATCCCAGTCAGGT +GAGGCACACCGCTGAGTTTAATA +>gi|2765616|emb|Z78491.1|PCZ78491 P.concolor 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCACGGGCATTTGCTGTTGCA +GTGACCTAGATTTGCCATCGGGCCTCCTTAGGAGCTTTCTTGCTGGCGATCTATACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGTTGGGGGGAGGCGTGC +TGCCTTGACCCGCTCCAAATTATATTTTTAACAACTCTCAGCAACGGATATCTCGGCTCT +TGCATCGATGAAGAACCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAAC +CATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTG +GGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTG +CGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTT +TGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATGTTGTGCGAA +TGCCCCGGGTTGTTGTGTTACATGGACCAGCATAATCAGAAGACCCTTTGGACCCCATTA +GAGGCCCATCAACCCATGATCAGTTGAATGGCCATTTGTTGCGATCCCAGTCAGGTGAGC +AACCCGCTGAGATAAGC +>gi|2765615|emb|Z78490.1|PFZ78490 P.fairrieanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTGAACCCTA +GTCCGGCGCAGTTTTGCGCCAAGTCATATGGCACATAATTGGTGAAGGGGGCGGCATGCT +GCCTCGACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCAAACATACTGTTCAGCCGGTGC +GGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAACGCTGCATGGGCTTTT +GATGGTCCTAAATACGGCAAGAGGTGGACGACTGTTCTGCAACAAGTGTTGTGCGAATGC +CCCGCGTTGTCGTATTAGATGGGCCAGCATAATTTGAAGACCCTTTTGAACCCCATTGGA +GGCCCGTCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCCAGTCAGGTGAGCAA +CCAGCTGA +>gi|2765614|emb|Z78489.1|PDZ78489 P.druryi 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCGAGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCGA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGCGGCATGCT +GCCTTGACCCTCCCCAGATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGG +GGATGTGGGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCATGGGATTTT +GATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAA +TGCCCCGAGTTGTCGTATTAGATGGGCCCAGCATATCTGAAGACCCTTTTGAACCCCATG +GAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTGAG +GCAACCCGCTGAGTTTAGGC +>gi|2765613|emb|Z78488.1|PTZ78488 P.tigrinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CTGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACGCAATAATTGATCGAGTTAAT +CTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGTTATTGCAGTGACCGAGATTT +GCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTTAACCCTAGCCCGGCGCAGTT +TTGCGCCAAGTCATACGACACATAATTGGTGAAGGGGGCGGCATGGTGCCTTGACCCTCC +CCTAATTATTTTCTAACAACTCTCATCAACGGGATGGAGAACGCAGCGAAATGCGATAAA +TGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACCCAAGTTGCGCCCGAGG +CCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCAAATCTCTCCCTTAATGAGG +CTGTCCATACATACTGTTCAACCGGTGCGGATGTGAGTTTGCCCCCTTGTTCATTGGTAC +GGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAAAACGGCAAGAGGTGGACGAA +CAACGCCACAACCAAACTGTTGTGCGGATCCCCCGGGTTGTCGTATTAGATGGGCCATCA +TAATCTGAAGACCCTTTTGAACCCCATCGGAGGCCCATCAACCCATGATCAGTTGATGGA +CATTTGTTGCGACCCCAGTCAGGTGAGCAACCGGCT +>gi|2765612|emb|Z78487.1|PHZ78487 P.hirsutissimum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTACTCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGCGGCATGCT +GCCTTTACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATATTGTTCAGCCGGTGC +GGATGTGAGTTCGGCCCCTTGTTCTTCGGTACGGGGGGTCTAAGAGCAGCATGGGCTATC +GATGGTCCTAAATGCGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAA +TGCCCCGGGTTGTCGTATTAGATGGGCCAGCGTAATCTAAAGACCCTTTTGAACCCCATT +AGAGGCCCATCAACCCATGATCAGTTGGGGCCACTTGTTGCGACCCCAGTCAGGTGAGCA +ACCGCTGAGTAA +>gi|2765611|emb|Z78486.1|PBZ78486 P.barbigerum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTCACGAGGTTTCCGTAGGTGAATCTGCGGGAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATTATCTGGAGGATCAGTTTACTTTGGTCACCCATGGACATTTGCTATTGCA +GTGCCCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGTGCGGCATGGT +GCCTGACCCTCCCCAAATTATTTCTTAACAACTCTCAGCAACGGATATCTCGCTCTTGCA +TCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGG +ATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGCTTTTGA +TGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAATG +CCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGG +AGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTAGCGACCCCAGGTCAGGTGAGG +CAACCCGCTGA +>gi|2765610|emb|Z78485.1|PHZ78485 P.henryanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CTGAACCTGGTGTCCGAAGGTGAATCTGCGGATGGATCATTGTTGAGATATCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCATGGGCATTTGCTATTGCAG +TGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTAG +CCCGGGGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGTGCGGCATGGTG +CCTTGACCCTCCCCAAATTATTTCTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGC +ATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCCGTGAACA +TCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTGCAGCCGGTGCG +GATGTGAGTTTGGGCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGCTTTTG +ATGGTCCTAAATACGCCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAAT +GCCCCGGGTTGTCGTATTAGACGGGCCAGCACAATCTAAAGACCCCTTTGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGATGGCCATGTGTTGCGACCCCAGTCAGCTGAGCA +ACCCCTGATTTAGTA +>gi|2765609|emb|Z78484.1|PCZ78484 P.charlesworthii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGGGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGGCTATTGC +AGTGACCGAGAGTTTACCATCGAGCCTCCATGGGAGCTTTCTTGCTGGCGATCTAAACCC +TAGCCCGGCGCAGTTTTGGCCCAAGTCATATGACACATAATTGTGAAGGGGCGGCATGTT +TCCTACCCTCCCAACTCTCAGCAACGGATATCTCGCTCTTGCATCGATGAAGAACGCAGC +GAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTGGAACGCAA +GTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTC +TCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCT +TGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGCTTTTGATGGTCCTAAATACGGCA +AGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAATGCCCCGGGTTGTCGTATT +AGATGGGCCAGCATAATCTAAAGACCCTTTGACACCCCATTGGAGGCCCATCAACCCATG +ATCAGTTGATGGTCCATTGGGTTGCGACCCCAAGTCAGGTGAAGCAACTCCCTGAGTTTT +>gi|2765608|emb|Z78483.1|PVZ78483 P.villosum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGCGGCATGCT +GCCTTGACCCTCCCCCAAATTATTTTTTAACAACTCTCAGCAACGGAAATCTGGCCTCTT +GCATGGATGAAGACCAAACCGAAATCATAAATGGTGTGAATTGCAGAATCCCGTGAACAA +TCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCACACATATCTGTTCAGCCGGTGC +GGATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTT +GTTGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAA +TGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATT +GGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAAGTGA +AGCAACCCCTGAGTTTAGCA +>gi|2765607|emb|Z78482.1|PEZ78482 P.exul 5.8S rRNA gene and ITS1 and ITS2 DNA +TCTACTGCAGTGACCGAGATTTGCCATCGAGCCTCCTGGGAGCTTTCTTGCTGGCGATCT +AAACCGTAGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGC +GGCATGCTGCCTTGACCCTCCCCAAATTATTTTTTAACAACTCTCNGCAACGGATATCTC +GCCTCTTCATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCC +GTGAANCCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGC +CTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCA +GCCGGTGCGGATGTGCGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGT +GGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGT +TGTGCGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGA +ACCCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGG +TCAGGTGAGGCAACCCGCTGAGTTTAGCA +>gi|2765606|emb|Z78481.1|PIZ78481 P.insigne 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGCGAAGGGGGCGGCATGGT +GCCTTGACCCTCCCCAAATCATTTTTTTAACAACTCTCAGCAACGGAAGGGCACGCCTGC +CTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCACACATACTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGC +TTTTGTTGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTG +CGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGA +>gi|2765605|emb|Z78480.1|PGZ78480 P.gratrixianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGCGAAGGGGGCGGCATGCT +GCCTTGACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATAGGCCATCAGGCT +AAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTCAATGAGGCTGTCCACA +CATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCT +AAGAGCTGCGTGGGCTTTTGTTGGTACCTAAATACGGCAAGAGGTGGACGAACTATGCTA +CAACAAAAATGTTGTGCGAATGCCCCGGGTTGTCGTATAGATGGGCCAGCATAATCTAAA +GACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGA +>gi|2765604|emb|Z78479.1|PPZ78479 P.primulinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCAGGAGGATCAGGTTACTTTGGTCACCCATGGGCATTTGCTGTTTCA +GTGACCTAGATTTGCCATCGAGCCGAACTAAACCCTTGCCCGGCGCAGATTTGCGCCAAT +TTATATGAGACATTACTGGAAGGGGAGGGATGCTGCCTTGCCTTGCCCCCCAAATTATTT +TTTAACAACTCTCAGCAACGGATATCTCGCCTCTTGCATCGATGAAGAACGCAGCGAAAT +GCGATAAATGGTGTGAATACAGAGATCCCGTGAACCATCGAGTCTTGAACGCAAGTTGCG +CCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGACATATCTCTCCCTT +AATGAGGCTGTCGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGG +GGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTA +TGCGACAACAGAACTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAA +TCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCAAGATCAGTTGACGGCCAT +TTGGATGCGACCCCAGGTCAGGTGAGGCAACCCTCTGAGT +>gi|2765603|emb|Z78478.1|PVZ78478 P.victoria 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCAGTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGGGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGCA +GTGGCCTAGAGTTTGCCATCGAGCCGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAA +GTCATATGACACATAACTGGAAGGGGCGGCATGCTGCCATGGCTCCCCCAAATATTGATA +ATGGCGTGATAGCAGATCCCTGAACATCGAGTTTTGAACGCATGTTGCGTCCGAGGCCAT +CAGGTCAAGGGGACGCCTGCCTGGAAATTGTGAGACATATCTCTCCCTTAATGAGGCTGC +CATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTCCTTTGGTACGGGGG +TCTAAGAGCTGTATGGGTTGGATGGTCCTAAATACGGCAAGAGGTGGACGAGCTATGTGA +CAACAGAACTGTTGTGCGAATGCCCCGGTTGTCGTTTAGATGGGTCAGCATAATCTAAAG +ACCCTTTTGACCCCCATTGGAGGCCCATCAACCCATTATCAGTTGAGGACATTTGGTTGC +GACCCAGGTCAGATGAGGCACCCGCTGAGTTTAGGC +>gi|2765602|emb|Z78477.1|PVZ78477 P.victoria 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATGATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTGCTTTGGTCACCCATGGGCATTTGCTGTTGCA +GTGACCTAGATTTGCCATCGAGCCGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAAG +TCATATGACACATAATTGGAAGGGGCGGCATGCTGCCTTGCCCTCCCCAAATATTTGTTA +ACCAACTCTCAGCAACGAGTATCTCGGCTCTTGCATCGGATGGAAGGACGCAGCGAAATG +CGATAAATGGTGTGAATTGCAAGAATCCCTGAACCATCGAGTCTTTGGAACGCAAGTTGC +GGCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGACATATCTCTCCCT +TAATGAGGCTGTCCACACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTC +TTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGG +TGGACGAACTATGCGACAACAGAACTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATG +GGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAG +TTGACGGCCATTTGGTTGCGACCCCAGGTCAGGTGAGGCAACCGCTGAGTTTATGC +>gi|2765601|emb|Z78476.1|PGZ78476 P.glaucophyllum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATGATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGTA +GTGACCTAGATTTGCCATCGAGCCGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAAG +TCATATGACACATAATTGGAAGGGCGGCATGCTGCCTTGGCCCTCCCCAAATTATTTTTT +TAACAACTCTCAGCAACGGATATCTCGGCTCTTAGGCCATCCGGCCAAGGGCACGCCTGC +CTGGGCATTGCGAGACATATCTCTCCCTTAATGAGGCTGTCCATACATACAGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATCCACCTAAATACGGCAAGAGGTGGACGAACTATGCGACAACAGAACTGTTGCG +CGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAATCC +CATTGGAGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCC +>gi|2765600|emb|Z78475.1|PSZ78475 P.supardii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCGT +CCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGTGGCATGCTGCC +TTGACCCTCCCCAAATTATTTTTTTGACAACTCTCAGCAACGGATATCTCGGCTCTTNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNATCAGGCCAAGGGCACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCAATGCG +GATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTG +ATGGTCCAAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAAT +GCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCAGGTCAGGT +>gi|2765599|emb|Z78474.1|PKZ78474 P.kolopakingii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACGTAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTTCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCCAATCATATGACACATAATTGGAAGGGCGGCATCCTGCCT +TGACCCTCCCCAAATTATATTTTTGACAACTCTCAGCAACGGATATCTCGCCTCTTGCAT +CGATGAAGACACAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCG +AGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCAT +TGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGAT +GTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATG +GTCCAAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAATGCC +CCGGGTTGTCGTATTAGATGGGCCAGCATAATCTACAGACCCTTCTGAACCCCATTGGAG +GCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCCAGGTCAGGTGAAGCA +ACCCGTTGAGCTT +>gi|2765598|emb|Z78473.1|PSZ78473 P.sanderianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGGGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGTA +GTGACCTGGATTTGCCATCGAGCCTCCATGGGAGCTTTCTTGGTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTGTTAACAACTCTCAGCAACGGATATCTCGGCTCTTCC +CGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTCA +ATGAGGCTGTCCATACATACTGTTCAGTCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTT +GCCTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTACCTAAATACGGCAAGAGGT +GGACGAACTATGCTACAACAAAATTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATGG +GCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGT +TGACGGCCATTTGGTTGCGACCCAGG +>gi|2765597|emb|Z78472.1|PLZ78472 P.lowii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTAGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAATCGTT +GCCCGGCGCAGTCTTGCGCCAAGTCATTTCACACATAATTGGAAGGGGGCGGCATGCAGT +CTAAGACCCTCCCCAAATTATTTTTTGATAACTCTCAGCAACGGAATCTCGGCTCTTGCA +TCGATGGAGGACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCTTTAATGAGGCTGTCTATACATACTGTTCAGCCACAGCGG +ATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGA +TGGTCTTAAATACGGCAAGAGGTGGACGAAGTATGCTACAACAAAATTGTAGTTCGAATG +CCCAGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTGAACCCCTTTAGA +GGCCAATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAAGTCAGGTGAGGC +AACCGCTGAGTTTAAGC +>gi|2765596|emb|Z78471.1|PDZ78471 P.dianthum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTAGAGGATCGGTTTACTTTGGTCACCCATGGGCATCTGCTCTTACA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTGTCTTGCTGGCGATCTAAATCGTT +GCCCGACGCAGCCTTGCGTCAAGTCACCCCGACACATAATGGAAGGGGGCGGCATGCTGC +CTTGACCCTTCCCCAAATTAATTTTTTGACAACTCTCAACATCGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCTTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCAGTGC +GGATGTGAGTTTGGCCCCTTGTTCTTTAGTACGGGGGGTCTAAAAGCTGCATGGGCTTTT +GCTGGTCCTAAATACGGCAAGAGGTGGACAAAGTATGCTACAACAAAATTGTAGTGCGAA +TGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATTTAAAGACCCTTTTGAACCCCATT +AGAGGCCCATCAACCCTGATCAGTTGATGGCCATTTGGTTGCGACCCCAAGTCAGGTGAG +GCAACCCGCTGAGTTTAAGC +>gi|2765595|emb|Z78470.1|PPZ78470 P.parishii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTAGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTACA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAATCGTT +GCCCGACGCAGCCTTGCGTCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTTCCCAAATTATTTTTTTAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACG +CCTGCTTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTC +AGCCAGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTACTACGGGGGGTCTAAAAGCTGCA +TGGGCTTTTGCTGGTCCTAAATACGGCAAGAGGTGGACAAAGTATGCTACAACAAAATTG +TAGTGCGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATTTAAAGACCCTTTTG +AACCCCATTAGAGGCCCATCAACCCTGATCAGTT +>gi|2765594|emb|Z78469.1|PHZ78469 P.haynaldianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTAGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAATTCGT +TGCCCGGCGCAGTCTTGCGCCAAGTCATATCACACATAATTGGAAGGGGGCGGCATGCGG +TCTAGACCCTCCCCAAATTATTTTTTTGACAACTCTCAGCAACGGATATCTCGGCTCTTC +CATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGC +TGTCCATACATACTGTTCAGCCACAGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACG +GGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTACCTAAATACGGCAAGAGGTGGACGAA +GTATGCTACAACAAAATGATAGTGCGAATGCCCAGGGTTGTCGTATTAGATGGGCCAGCA +TAATCTAAAGACCCTTTTGAACCCCATTAGAGGCCCATCAACCCATGATCAGTT +>gi|2765593|emb|Z78468.1|PAZ78468 P.adductum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATTGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACTCATGGGAATCTGCTCTTGTA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGATGGCGATCTGAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGGAGGGGCAGCATGCTGCC +TTGACCCTCCCCATATCATTTTTTTAACGACTCTCAGCTCCGGAACTCAAGTTGCGCCCG +AGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATG +AGGCTGTCCATACATACTGTTCAGCCAGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGG +TACGGGGGGTCTAAGAGCAGCTGGGCTTTTGATGGACCTAAATACGGCAAGAGGTGGACG +AAGTATGCTACAACAAAATTATTGTGTGAATGCCCCGGGTTGTCGTATAGATGGGCCAGC +ATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGACGG +CCATTTGGTT +>gi|2765592|emb|Z78467.1|PSZ78467 P.stonei 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGTGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTTTGACAACTCTCAGCAACGGATATCTCGGCTCTTGCA +TCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGTACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGG +ATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGTGCCTTTGG +TGGTCCAAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAATG +ACCCGGGTTGTCGTATTAGCTGGGCCAGCATAATCTAAAGACCCTCTTGAACCCCATTGG +AGGCCCATCAACCCATGATCAGTTGACGGCCATATGTTTGCGACCCAGGTCAGGTGAGGC +AACCCGCTGA +>gi|2765591|emb|Z78466.1|PPZ78466 P.philippinense 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGTA +GTGACCTGGATTTGCCATCGAGCCTTCATGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTTGTAACAACTCTCAGCAACGGATATCTCGGCTCTTTG +CCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTA +ATGAGGCTGTCCATACATACAGTTCAGCCTGTGCGGATGTGAGTTTGGCCCCTTGTTCTT +GCGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTG +GACGAACTATGCTACAACAAAATTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATGGG +CCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTT +GACGGCCATTTGGTTGCGACCCAGGTCAGGTGAGGCAACCC +>gi|2765590|emb|Z78465.1|PRZ78465 P.rothschildianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTTTTGACAACTCTCAGCAACGGATTTCTCGGTTCTTGA +ATCGATGAGGAACGCAGCGAAATGCGATAATTGGTGTGAATTGAAGAATCCCGTAAACCA +TCGAGTCTTTGAACGAAAGTTGCGCCCGAGGCCATCAGGCCAAGGGAACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCGAGTGCG +GATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTG +ATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAAT +GCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGC +>gi|2765589|emb|Z78464.1|PGZ78464 P.glanduliferum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAGCGGAAGGGTCATTGTTGAGATCACATAATAATTGAT +CGGTTGAGTCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGTAGTGA +CCTGGATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGAGATCTAAACCCTTGCCCG +GAGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGCCTTGA +CCCTCCCCAAATTATTTTCTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGA +TGAAGAACGCAGCGAAATCCGATAAATGGTGTGAATTTCAGAATCCCGTGAACCATCGAG +TCTTTGAACGCCAAGTTCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTT +CGAATCAAATCTCTCCCTTAATGAGGCTGTCCAAACATACTGTTCAACCGGTTCGGATGT +GAGTTTGGCCCCTTTTTCTTTGGGGCGGGGGGTCTAAGAACTTCATGGGCTTTTGGTGGT +CCTAAAAACGGCAAGAGGTGGGCGGACTATTCTTCAACCAAATTTCTGTTCGGATTCCCC +GGGCTTTCGTAATAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGC +CCATCAACCCATGATCAGTTGACGGCCATTTGGTGCGACCCCAGGTCAGGTGAGCAACCC +GCTGAGTTTAAGC +>gi|2765588|emb|Z78463.1|PGZ78463 P.glanduliferum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGTTCATTGTTGAGATCACATAATCAT +TGTTCGGTTGAGTCTGGAGGATCAGTTTACTTTGGTCACCATGGGCATCTGCTCTTGTAG +TGACCTGGATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGGGATCTAAACCCTCGC +CCGGGGGAGTTTTGCGCCAAGTCATATGACACATAATTGGGAGGGGGCGGCATGTTGCCT +TGACCCTCCCCAAATTATTTTCTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGCAT +CGATGGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAACCGGTGCGG +ATGTGAGTTTGGCCCCTTTTTCTTTGGGGCGGGGGGTCTAAGAGCTGCATGGGCTTTTGA +TGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTGCAACAAAATTGCTGTGCGAATA +CCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGG +AGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCCAGATCAGGTGAGC +AACCCGCTGAGTTTAAGC +>gi|2765587|emb|Z78462.1|PSZ78462 P.sukhakulii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTCACGAGGTCTCCGGATGTGACCCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGCAGGATCTGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATANNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCGCCT +GCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGC +CGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGG +GCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTG +TGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAAC +CCCATTGGAGGCCCAT +>gi|2765586|emb|Z78461.1|PWZ78461 P.wardii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGGTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCAGTTGCTGCTGGA +GTGACCTAGAATTTCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTACCCGGCGCAATTTTTCCCCCAGTCAAATGACACATAATTGGTGGAGGGGGTGGCATT +CTTCCCTGACCCTCCCCCAAATAATTTTTTCACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGATGAAGAACGCACCGAAATCCGATAAATGGTGTGAATTCCAGAATCCCGTGA +ACCATCGAGTCTTTGAACCCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGAACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGCCTGTCCATACATCCTGTTCAGCCGG +TGCGGATGTGAGTTTGCCCCCTTGTTCTTTGGTACGGGGGGTCTAAGACCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACACCAAAATTGTTGTCC +AAAGCCCCCGGGTTGTCGTATAAGATGGGCCACCGTAATCTGAAGACCCTTTGAACCCCA +TTGGAGCCCATCAACCCATGATCAGTTGATGCCATTGTTGCGACCCAGTCAGTGAGCAAG +CCGCTGAGTTAA +>gi|2765585|emb|Z78460.1|PCZ78460 P.ciliolare 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGGATATCTCGGCT +CTTGCATCGGATGGAGGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCG +TGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCT +GCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGC +CGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGG +GCTTTTGATGGTCCCAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTG +TGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAAC +CCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGGTTGCGACCCCAGGT +CAGGTGAGGCAACCCGCTGAGTTTA +>gi|2765584|emb|Z78459.1|PDZ78459 P.dayanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGGATGGAGGAACGCAGCGAAATTGCGATAAATTGGTGTGAATTGCAGAATCCC +GTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCC +TGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAG +CCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATG +GGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTT +GTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAA +CCCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGT +CAGGTGAGGCAACCCGCTGAGTTT +>gi|2765583|emb|Z78458.1|PHZ78458 P.hennisianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCGTACGACACATAATTGGTGAAGGGGGTGGCATC +CTTCCCTGACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCT +TGCATCGATGGAGGACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGATCCCGTGAAC +CATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTG +GGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTG +CGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTT +TGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAG +AGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCCAT +TGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTG +AGGCAACCCGCTGAGTTG +>gi|2765582|emb|Z78457.1|PCZ78457 P.callosum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTTCTGTTGTA +GTGACCTAGAATTTCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTTCCCCCAGTCAAATGGCACATAATTGGTGGAGGGGGTGGCATT +CTTCCCTGACCCTCCCCCAAATATTTTTTTAACAACTCTCAACAACGGATATCTCGGCTC +TTTCATCGGATGAAGGACCGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGT +GAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTG +CCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCC +GGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGG +CTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATCGTTGT +GCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTAAAGACCCTTTTGAACC +CCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCA +GGTGAGGCAACCCGCTGAG +>gi|2765581|emb|Z78456.1|PTZ78456 P.tonsum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACC +CTTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGGAGGGGGTGGCAT +CCTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCCGGT +CTGGCATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGATTGCAGAATCCCGTGA +ACATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCT +GGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGT +GCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTT +TTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCA +AAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGGACCCCA +TTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGGTTGCGACCCAGGTCAGGT +GAGGCAACCCTGAGTTTAGC +>gi|2765580|emb|Z78455.1|PJZ78455 P.javanicum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGGACCTTCGGGAGGATCATTTTTGAGATCACATAAAAAT +TGATCGAGTTAATCTGGAGGAACTTTTTACTTTGGTCACCCATGAACAATTTCTTTTGGA +GTGACCTAGAATTTCCATCGAACCCCCTTGGGAACTTTCTTTTTGGCGAGAACTAAACCC +TTTCCCGGCGCAGTTTTTCCCCCAATCAAATTACACAAAAATGGTGGAGGGGGTGGCATC +CTTCCCTTACCCTCCCCCAAATAATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGGTTGAAGAACCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGG +TGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGCACGGGGGGTCTAAGAGCTTCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGC +AAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCC +ATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGGTTGCGACCCCAGGTCAG +GTGAGGCAACCCGCTGAGTTTAGCA +>gi|2765579|emb|Z78454.1|PFZ78454 P.fowliei 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTACCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTTCTCCAAGTCATTTGACACATAATCGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCCCACTATTGTTAACAACTCTCATCAACGGAACTCATGCGATAA +ATGGTGTGATTTGCAGAATCCCGTGAACCATCGAGTCTGTGAACGCAAGTTGCGGCCGAG +GCCATCAGACCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAG +GCTGTCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTCTGGTA +CGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGA +ACTATGCTACAACAAAATTGTTGTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACC +GTAATCTGAAGCCCCTTTTGAACCCATTGGAGGCCCATCAACCNCATGATCAGTTGATGG +CCATTTGGATGCGACCCCAGGTCAGGTGAGGCAAC +>gi|2765578|emb|Z78453.1|PSZ78453 P.schoseri 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAGTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAACTCATTTGACACATAACTGGTGAAGGGGGTGGCATC +CTTCCCTGACCCTCCCCCAAATTATTTTTTAACAACTCTCAGCAACCGGATATCTCAGCT +CTTGCATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTG +AACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGC +CTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTG +CAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAG +GTGAGGCAACCCGCTGAGTTTAGCA +>gi|2765577|emb|Z78452.1|PBZ78452 P.bougainvilleanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTATTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCAAGCCTCCTTGGGAGCTTTCTTTTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGAATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGG +TGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGATGAACTATGCTACAACAAAATTGTTGTGC +AAAGGCCCCGGGTTGTCGTATTAGATGGGCCACTGTAATCTGAAGACCCTTTTGAACCCC +ATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGATGCGACCCCAGGTCAGG +TGAGGCAACCGCTGAGTTTAGCA +>gi|2765576|emb|Z78451.1|PHZ78451 P.hookerae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGTACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGTA +GTGACCTAGATTTCCATGGAGCCCCCCTGGGAGCTTTCTTGCTGGCGAGATCTAAACCCG +TGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGTAGGGGGCGGGCATC +CTGCCCTGACCCTCCCCAAAGTATTTTTTGCAACTCTCAACAACGGAAATCTCGCTCTTT +CATCGATGAAGAACCAGCGAAATCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACCCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACCCCTCCCTGGGC +ATCGCGAGTCAAATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCACCCGGTGCGG +ATGTGAGTTTGCCCCCTTGTTCTTTGGTACGGGGGGTCTAAGACCTGCATGGGATTTTGA +TGGTCCTAAAAACGGCAAGAGGTGGACGAACTATCCCTACAATAAAATTGTTGTGCGAAG +CCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTATAGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGATGCGACACCAGTCAGTGAGCAA +CCAGCTGAGC +>gi|2765575|emb|Z78450.1|PPZ78450 P.papuanum 5.8S rRNA gene and ITS1 and ITS2 DNA +GGAAGGATCATTGCTGATATCACATAATAATTGATCGAGTTAAGCTGGAGGATCTGTTTA +CTTTGGTCATCCATGAGCATTTACTGTTGAAGTGACCTAGATTTGCCATCGAGCCTCCTT +GGGAGCTTTCTTGTTGCCGAGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAAGTCAT +ATGACACATAATTGGTGAAGGGGGTGGCATCCTGCCCTGACCCTCCCCAAATTATTTTTT +TAACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGC +GATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGC +CCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTCCGAGTCATATCTCTCCCCTA +ACGAGGCTGTCCATACATACTGTTCATCCGGTGCGGATGTGAGTGTGGCCCCTTGTTCTT +TGGTCCGGGGGGTCTAAGAACTGCATGGGCATATGATGGTCCTCAAAACTGGCAAGAGGT +GGACGAACTATGCTACAACCAAATTGTTGTGCCAAGGCCCCGGGTTGTCGTATTAGATGG +GCCACCGTAACCTGTAGACCCTGTTGAACCCCATTGGAGGACCATCAACCCATGATCAGT +TGATGACCATGTGTTGCGACCCCAGATCAGCTGAGCAACCCCTGAG +>gi|2765574|emb|Z78449.1|PMZ78449 P.mastersianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAACTCATTTGACACATAATTGGTGAAGGGTGGCATCCT +GCCCTGACCCTCCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCAGCTCT +TGCATCGATGAAGAACGCAGCGAAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGG +TGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACTAAATTGTTGTGC +AAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCC +ATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGG +TGAGGCAACCCGCTGAGTTTATGC +>gi|2765573|emb|Z78448.1|PAZ78448 P.argus 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTTCCCGGCGCAGTTTTGCGCCAAGTCGTATGACACATAATTGGTGAAGGGGGGTGGCAT +CCTTCCCTTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCAGC +TCTTGCATCGGATGGAAGAACGCACCGAAATGCGATAAATGGTGTGAATTGCAGAATCCC +GTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCC +TGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAG +CCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATG +GGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAANAAAATTGTT +GTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAA +CCCCATTGGAGGCCCATCAGCCCATGATCAGTTGATGGCCATTTGGNTGCGACCCCAGGT +CAGGTGAGGCAACCCGCTGAGG +>gi|2765572|emb|Z78447.1|PVZ78447 P.venustum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGATTCCGTAGGTGAACCTGCGGGAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTCCTGTTGAAG +TGACCTAGAGTTGCCATCGAGCCTCCCTGGGAGCTTTCTTGTTGGCGAGAACTAAACCCT +TACCCGGCGCAATTTTGCCCCCAGTCAAATGACACATAAGTGGTGAAGGGGGTGGCATCC +TATCTCGGCTCTTGCATCGATGAAGAACCCAGCGAAATGCGATAAATGGTGTGAATTGCA +GAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGG +GCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATAC +TGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAG +CTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACACCAA +AATTGTTGTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCC +TTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGAC +CCCAGTCAGGTGAGGCAACCCGCTGAGTTTAAGC +>gi|2765571|emb|Z78446.1|PAZ78446 P.acmodontum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTCCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTCCCCAAATAATTTTTTAACAACTCTCAGCAACGGATACTCGGCTCTTCATCGATGGAG +GACCAGCGAAATTGCGATAATGGTGTGATTGCAGAATCCCGTGAACATCGAGTCTTTGAA +CGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGATTGCGAGTCATA +TCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTGCAGATGTGAGTTTGGC +CCCTTGTTCTTCGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGCCCTAAATAC +GGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAAAGGCTCCGGGTTGTCG +TATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACC +CATGATCAGTTGATGGCCATTTGGTTGCGACCCAGGTCAGGTGAGGCAACCC +>gi|2765570|emb|Z78445.1|PUZ78445 P.urbanianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGGGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCTCCAAGTCGTTTGACACATAATTGGTGAAGGGGGTGGCATC +CTTCCCTGACCCTCCCCCAACTATTTTTTTAACAACTCTCAGCAACGGAGACTCAGTCTT +CGGCAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGCACCATCGAGTCTTTGAACG +CAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATAT +CTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCC +CCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACG +GCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAGAGGCCCCGGGTTGTCGT +ATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCC +ATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTGAGCAACAGCTGT +>gi|2765569|emb|Z78444.1|PAZ78444 P.appletonianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGGTGAACTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTGGGTCACCCATGGGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCATCCTTGTTGGCGATATCTAAACCC +TCAATTTTTCCCCCAATCAAATTACACAAAATTGGTGGAGGGGGTGGCATTCTTCCCTTA +CCCTCCCCCAAATATTTTTTTAACAACTCTCAGCAACGGATATCTCAGCTCTTGCATCGA +TGAAGAACCCACCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAG +TCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTG +CGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGATGT +GAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGATGCATGGGCTTTTGATGGT +CCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAAAGGCCCC +GGGTTGTCGTATAAGATGGGCCACCGATATCTGAAGACCCTTTTGGACCCCATTGGAGCC +CATCAACCCATGTCAGTTGATGGCCATT +>gi|2765568|emb|Z78443.1|PLZ78443 P.lawrenceanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTGGGTCACCCATGGGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGATATCTAAACCC +TTGCCCGGCAGAGTTTTGGGCCACANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNCAGCGAAATGCGATAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACACACCTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTG +CAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCATAATCTGAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCAGTCAGGT +GAGG +>gi|2765567|emb|Z78442.1|PBZ78442 P.bullenianum 5.8S rRNA gene and ITS1 and ITS2 DNA +GTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAATTGATCGAGTTAATCT +GGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGAAGTGACCTAGATTTGC +CATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCCTTGCCCGGCGGAGTT +TGGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATCCTGCCCTGACCCTCC +CCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGA +ACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTG +GAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGGGAAT +CATATCTCTCCCCTAACGAGGCTATCCAAACATACTGTTCATCCGGTGCGGATGTGAGTT +TGGCCCCTTGTTCTTTGGTACCGGGGGTCTAAGAGCTGCATGGGCATTTGATGGTCCTCA +AAACGGCAAGAGGTGGACGAACTATGCCACAACAAAATTGTTGTCCCAAGGCCCCGGGTT +GTCGTATTAGATGGGCCACCGTAACCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATC +AACCCATGATCAGTTGATGACCATTTGTTGCGACCCCAGTCAGCTGAGCAACCCGCTGAG +T +>gi|2765566|emb|Z78441.1|PSZ78441 P.superbiens 5.8S rRNA gene and ITS1 and ITS2 DNA +GGAAGGTCATTGCCGATATCACATAATAATTGATCGAGTTAATCTGGAGGATCTGTTTAC +TTGGTCACCCATGAGCATTTGCTGTTGAAGTGACCTAGATTTGCCATCGAGCCTCCTTGG +GAGTTTTCTTGTTGGCGAGATCTAAACCCTTGCCCGGCGGAGTTGTGCGCCAAGTCATAT +GACACATAATTGGTGAAGGGGGTGGCATCCTGCCCTGACCCTCCCCAAATTATTTTTTTA +ACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGA +TAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCC +GAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAAC +GAGGCTGTCCATACATACTGTTCATCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTG +GTACGGGGGGTCTAAGAGCTGCATGGGCATTTGATGGTCCTCAAAACGGCAAGAGGTGGA +CGAACTATGCTACAACCAAATTGTTGTCCCAAGGCCCCGGGTTGTCGTATTAGATGGGCC +ACCGTAACCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGA +TGACCATGTGTTGCGACCCCAGTCAGCTGAGCAACGCGCTGAG +>gi|2765565|emb|Z78440.1|PPZ78440 P.purpuratum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGGACCTCCGGGAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGGTAATCTGGAGGATCTGCATATTTTGGTCACCCATGGGCAATTTCTGTTGTA +GTGACCTAGAATTTCCATCGACCCTCCTTGGGAGCATTCTTGTTGGCGAGAACTAAACCC +TTACCCGGCGCAGTTTTTCCCCCAATCAAATTACACAAAAATGGTGGAGGGGGTGGCATA +TCTTCCCTTACCCTCCCCCAAATAATTTTTTAACAACTCTCAGCAACGGATATCTCAGCT +CTTGCATCGTTGAAGAACCCACCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTG +AACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGC +CTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGCTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAGCAAAATTGTTGTG +CAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAG +GTGAGGCAACCCCTGAGTTTAGCA +>gi|2765564|emb|Z78439.1|PBZ78439 P.barbatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CATTGTTGAGATCACATAATAATTGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTC +ACCCATGGGCATTTGCTGTTGAAGTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTT +TCTTGTTGGCGAGATCTAAACCCCTGCCCGGCGGAGTTGGGCGCCAAGTCATATGACACA +TAATTGGTGAAGGGGGTGGTAATCCTGCCCTGACCCTCCCCAAATTATTTTTTTAACAAC +TCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGATAATG +GTGTGAATTGCAGAATCCCGTGAACATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCA +TCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTG +TCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGG +GGGTCTAAGAGCTGCATGGGCTTTGGATGGTCCTAAATACGGAAAGAGGTGGACGAACTA +TGCTACAACAAAATTGTTGTGCAAATGCCCCGGTTGGCCGTTTAGTTGGGCC diff --git a/tests/contrib/io/bioinformatics/ls_orchid_out.fasta b/tests/contrib/io/bioinformatics/ls_orchid_out.fasta new file mode 100644 index 0000000000..9c0fc9678d --- /dev/null +++ b/tests/contrib/io/bioinformatics/ls_orchid_out.fasta @@ -0,0 +1,1268 @@ +>gi|2765658|emb|Z78533.1|CIZ78533 C.irapeanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGATGAGACCGTGGAATAAA +CGATCGAGTGAATCCGGAGGACCGGTGTACTCAGCTCACCGGGGGCATTGCTCCCGTGGT +GACCCTGATTTGTTGTTGGGCCGCCTCGGGAGCGTCCATGGCGGGTTTGAACCTCTAGCC +CGGCGCAGTTTGGGCGCCAAGCCATATGAAAGCATCACCGGCGAATGGCATTGTCTTCCC +CAAAACCCGGAGCGGCGGCGTGCTGTCGCGTGCCCAATGAATTTTGATGACTCTCGCAAA +CGGGAATCTTGGCTCTTTGCATCGGATGGAAGGACGCAGCGAAATGCGATAAGTGGTGTG +AATTGCAAGATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCGCCCGAGGCCATCA +GGCTAAGGGCACGCCTGCTTGGGCGTCGCGCTTCGTCTCTCTCCTGCCAATGCTTGCCCG +GCATACAGCCAGGCCGGCGTGGTGCGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCG +GCGGGTCCAAGAGCTGGTGTTTTGATGGCCCGGAACCCGGCAAGAGGTGGACGGATGCTG +GCAGCAGCTGCCGTGCGAATCCCCCATGTTGTCGTGCTTGTCGGACAGGCAGGAGAACCC +TTCCGAACCCCAATGGAGGGCGGTTGACCGCCATTCGGATGTGACCCCAGGTCAGGCGGG +GGCACCCGCTGAGTTTACGC +>gi|2765657|emb|Z78532.1|CCZ78532 C.californicum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAACAGAATATA +TGATCGAGTGAATCTGGAGGACCTGTGGTAACTCAGCTCGTCGTGGCACTGCTTTTGTCG +TGACCCTGCTTTGTTGTTGGGCCTCCTCAAGAGCTTTCATGGCAGGTTTGAACTTTAGTA +CGGTGCAGTTTGCGCCAAGTCATATAAAGCATCACTGATGAATGACATTATTGTCAGAAA +AAATCAGAGGGGCAGTATGCTACTGAGCATGCCAGTGAATTTTTATGACTCTCGCAACGG +ATATCTTGGCTCTAACATCGATGAAGAACGCAGCTAAATGCGATAAGTGGTGTGAATTGC +AGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCTCGAGGCCATCAGGCTAAG +GGCACGCCTGCCTGGGCGTCGTGTGTTGCGTCTCTCCTACCAATGCTTGCTTGGCATATC +GCTAAGCTGGCATTATACGGATGTGAATGATTGGCCCCTTGTGCCTAGGTGCGGTGGGTC +TAAGGATTGTTGCTTTGATGGGTAGGAATGTGGCACGAGGTGGAGAATGCTAACAGTCAT +AAGGCTGCTATTTGAATCCCCCATGTTGTTGTATTTTTTCGAACCTACACAAGAACCTAA +TTGAACCCCAATGGAGCTAAAATAACCATTGGGCAGTTGATTTCCATTCAGATGCGACCC +CAGGTCAGGCGGGGCCACCCGCTGAGTTGAGGC +>gi|2765656|emb|Z78531.1|CFZ78531 C.fasciculatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGCAGAACATA +CGATCGAGTGAATCCGGAGGACCCGTGGTTACACGGCTCACCGTGGCTTTGCTCTCGTGG +TGAACCCGGTTTGCGACCGGGCCGCCTCGGGAACTTTCATGGCGGGTTTGAACGTCTAGC +GCGGCGCAGTTTGCGCCAAGTCATATGGAGCGTCACCGATGGATGGCATTTTTGTCAAGA +AAAACTCGGAGGGGCGGCGTCTGTTGCGCGTGCCAATGAATTTATGACGACTCTCGGCAA +CGGGATATCTGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGATAAGTGGTGTGAAT +TGCAGAATCCCGCGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCT +AAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGATAATGCTTGATTGGCAT +GCGGCTAGTCTGTCATTGTGAGGACGTGAAAGATTGGCCCCTTGCGCCTAGGTGCGGCGG +GTCTAAGCATCGGTGTTCTGATGGCCCGGAACTTGGCAGTAGGTGGAGGATGCTGGCAGC +CGCAAGGCTGCCGTTCGAATCCCCCGTGTTGTCGTACTCGTCAGGCCTACAGAAGAACCT +GTTTGAACCCCCAGTGGACGCAAAACCGCCCTCGGGCGGTGATTTCCATTCAGATGCGAC +CCCAGTCAGGCGGGCCACCCGTGAGTAA +>gi|2765655|emb|Z78530.1|CMZ78530 C.margaritaceum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAAACAACATAATAAA +CGATTGAGTGAATCTGGAGGACTTGTGGTAATTTGGCTCGCTAGGGATATCCTTTTGTGG +TGACCATGATTTGTCATTGGGCCTCATTGAGAGCTTTCATGGCGGGTTTGAACCTCTAGC +ACGGTCCAGTTTGCACCAAGGTATATAAAGAATCACCGATGAATGACATTATTGCCCCAC +ACAACGTCGGAGGTGTGGTGTGTTAATGTTCATTCCAATGAATTTTGATGACTCTCGGCA +GACGGATATCTTGACTCTTGCATCGATGAAGAACGCACCGAAATGTGATAAGTGGTGTGA +ATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGG +CTAAGGGCACGCCTGCCTGGGCGTCGTATGTTTTATCTCTCCTTCCAATGCTTGTCCAGC +ATATAGCTAGGCCATCATTGTGTGGATGTGAAAGATTGGCCCCTTGTGCTTAGGTGCGGT +GGGTCTAAGGATATGTGTTTTGATGGTCTGAAACTTGGCAAGAGGTGGAGGATGCTGGCA +GCCGCAAGGCTATTGTTTGAATCCCCCATGTTGTCATGTTTGTTGGGCCTATAGAACAAC +TTGTTTGGACCCTAATTAAGGCAAAACAATCCTTGGGTGGTTGATTTCCAATCAGATGCG +ACCCCAGTCAGGGGGCCACCCCAT +>gi|2765654|emb|Z78529.1|CLZ78529 C.lichiangense 5.8S rRNA gene and ITS1 and ITS2 DNA +ACGGCGAGCTGCCGAAGGACATTGTTGAGACAGCAGAATATACGATTGAGTGAATCTGGA +GGACTTGTGGTTATTTGGCTCGCTAGGGATTTCCTTTTGTGGTGACCATGATTTGTCATT +GGGCCTCATTGAGAGCTTTCATGGCGGGTTTGAACCTCTAGCACGGTGCAGTTTGCACCA +AGGTATATAAAGAATCACCGATGAATGACATTATTGTCAAAAAAGTCGGAGGTGTGGTGT +GTTATTGGTCATGCCAATGAATTGTTGATGACTCTCGCCGAGGGATATCTTGGCTCTTGC +ATCGATGAAGAATCCCACCGAAATGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGG +GCGTCGTATGTTTTATCTCTCCTTCCAATGCTTGTCCAGCATATAGCTAGGCCATCATTG +TGTGGATGTGAAAGATTGGCCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATATGTGTTT +TGATGGTCTGAAACTTGGCAAGAGGTGGAGGATGCTGGCAGCCGCAAGGCTATTGTTTGA +ATCCCCCATGTTGTCATATTTGTTGGGCCTATAGAACAACTTGTTTGGACCCTAATTAAG +GCAAAACAATCCTTGGGTGGTTGATTTCCAATCAGATGCGACCCCAGTCAGCGGGCCACC +AGCTGAGCTAAAA +>gi|2765652|emb|Z78527.1|CYZ78527 C.yatabeanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATA +TGATCGAGTGAATCTGGATGACCTGTGGTTACTCGGCTCGCCTGATTTGTTGTTGGGCTT +CCTTAGGAGCTTACATGGCGGGTTTGAACCTCTACCACGGTGCAGTTTGCGCCAAGTCAT +ATGAAGCATAACTGCAAATGGCACTACTGTCACCAAAAGTTGGAGTGGCAGTGTGTTATT +GCATGCGCTAATGGATTTTTGATGACTCTCGGCCAACGGATATCTGGCTCTTTGCATCGA +TGAAGGAACGCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGCGAACCATCGA +GTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTC +GTGTATCGCATCTCTCTTGCCAATGCTTACCCGGCATACAACTAGGCTGGCATTGGGTGG +ATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCGGTGGGTCTAAGGATTGATGTTTTGATG +GATCGAAACCTGGCAGGAGGTGGAGGATGCTGGAAGCCGCAAGGCTGTCGTTCGAATCCC +CCATGTTGTCATATTTGTCGAACCTATAAAAGAACATGCTTGAACCCCAATGGATTGTAA +AATGACCCTTGGCGGTTGATTTCCATTTAGATGCGACCCCAGGTCAGGCGGGCCACCC +>gi|2765651|emb|Z78526.1|CGZ78526 C.guttatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATA +TGATCGAGTGAATCTGGAGGACCTGTGGTTACTCGGCTCCCCTGATTTGTTGTTGGGCTT +CCTTAGGAGCTTACATGCCGGGTTTGAACCTCTACCACGGTGCAGTTTGCGCCAAGTCAT +ATGAAGCATAACTGAACAATGGCATTATTGTCACCAAAAGTTGGAGTGGCAGTGTGCTAT +TGCATGCGCTAATGGATTTTTGATGACTCTCGCCAACGGATATCTTGGCTCTTGCATCGA +TGAAGAACCCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGCGAACCATCGAG +TCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCG +TGTATCGCATCTCTCTTGCCAATGCTTACCCGGCATACAACTAGGCTGGCATTGTGCGGA +TGTGAAAGATTGGCCCCTTGTGCCTAGGTGCGGTGGGTCTAAGGATTGATGTTTTGATGG +ATCGAAACCTGGCAGGAGGTGGAGGATGCTGGAAGCCGCAAGGCTGTCGTTCGAATCCCC +CATGTTGTCATATTTGTCGAACCTATAAAAGAACATGCTTGAACCCCAATGGATGTAAAA +TGACCCTTGGCGGTTGATTTCCATTTAGATGCGACCCCAGGTCAGGCGGGGCCACCCGCT +GAGTTTATGT +>gi|2765650|emb|Z78525.1|CAZ78525 C.acaule 5.8S rRNA gene and ITS1 and ITS2 DNA +TGTTGAGATAGCAGAATATACATCGAGTGAATCCGGAGGACCTGTGGTTATTCGGCTTGC +CGAGGGCTTTGCTTTTGTGGTGACCCAAATTTGTCGTTGGGCCTCCTCGGGAGCTTTCAT +GGCAGGTTTCAAACTCTAGCACGGCACAGTTTGTGCCAAGTCATATGAAGCATCACCGAC +AAATGACATTATTGTCAAAAAAGTTGGAGGGGCGGTGTCCTCCTGTGCATGCCGAATATA +ATTTTGATGACTCTCGACAAGCGGATATCTTGGCTCTTGCATCGGATGAAGAACCCAGCG +AAATGCGATAAGTGGTGTGAATTGCAAGATCCCGTGAACCATCGAGTCTTTTGAACGCAA +GTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGTTGTGTCTC +TCTTGCCAATGCCTGTCCATATATCTAGGCTTGCATTGTGCGGATGCGAAAGATTGGCCC +CTTGTGCCTTGGCGCGTTGGGTCTAAGGAATGTTTTGATGGCCCGAAACTTGGCAGGAGG +TGGAGGACATTGGCTGCCACAAGGTTGTCATTTAAATCCCCCATGTTATCGTATTTATCG +GACCTATATAATAACTTGTTTGAACCCCAGTGGAGGCAAAATGACCCTTGGATGGTTGAC +TGCCATTCATATGCGACCCCAGGTCAGGCGGGCCACCCGCTGCA +>gi|2765649|emb|Z78524.1|CFZ78524 C.formosanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATAGTAGAATATA +TGATTGAGTGAATATGGAGGACATGTGGTTACTTGGCTCGTCAGTGCTTTGCTTTTGTGG +TGACCTTAATTGGGCCTCCTTAGGAGCTTTCATGGCGGGTTCAAACCTTTAGCACGGCGC +AGTTTGTGCCAAGTCATATAAGCATCCCTGATGAATGGCATTGTTGTTAAAAAAGTCGGA +GGGGCGGCATGCTGTTGTGCATGCTAATGAATTTTTTGATGACTCTCGCAACGGAACTTG +GCTCTTTACATCCGATGAAGAACGCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATC +CCGTGAACCATCGAGTATTTGAACGCAAGTTGCGCCCAAGGCCATCAGGCTAAGGGCACG +CCTGCCTGGGCGTCGTGTGCTGCATCTCTCCTNCCAATGCTTGCCCAGCATATAGCTAGG +TTAGCATTGTGCGGATGAAATATTGGCCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATT +AGTATTTTGATAGCTCGGAACTCGGCAGGAGGTGGAGAATGTTGGTAGCTGCAAGGCTGC +CATTTGAATTCCCCATGTTGTCGTATTTGTTGAACCTATAAAAGAACTTGTTTGAACCCC +AATGAAGGAAAAATGACCCTTGGGCGGTTGATTTTCATTCAGATGCAACCCCAGGTCAGG +TGGCCACCCTGAGATTAAGC +>gi|2765648|emb|Z78523.1|CHZ78523 C.himalaicum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGAACCTGCGGCAGGATCATTGTTGAGACAGCAGAATATA +TGATCGAGTGAATCCGGTGGACTTGTGGTTACTCAGCTCGACATAGGCTTTGCTTTTGCG +GTGACCCTAACTTGTCATTGGGCCTCCTCCCAAGCTTTCCTTGTGGGTGTGAACCTCTAG +CACGGTGCAGTATGCGCCAAGTCATATGAAGCATCACTGAGGAATGACATTATTGTCCCA +AAAGCTAGAGTGGAAGCGTGCTCTTGCATGCATGCATAATGAATTTTTTATTGACTCTCG +ACATATGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCG +CCCGATGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTAT +CAATGCTTTCCTATCATATAGATTGGTTTGCATTGCGTGGATGCGAAAGATTGGCCCCTT +GTGCCTAGGTGCGGTGGGTCTAAGGACTAGTGTTTTGATGGTTCGAAACCTGGCAGGAGG +TGGAGGATGTTGGCAGCTATAAGGCTATCGTTTGAACCCCCCATATTGTCGTGTTTGTCG +GACCTAGAGAAGAACCTGTTTGAATCCCAATGGAGGCAAACAACCCTCGGGCGGTTGATT +GCCATTCATATTGCGACCCAGGTCAGGCGGGGCCACCGCTGAGTTTAAG +>gi|2765647|emb|Z78522.1|CMZ78522 C.macranthum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGCAGAATATA +TGATCGAGTGAATCCGGTGGACTTGTGGTTACTCAGCTCGACATAGGCTTTGCTTTTGCG +GTGACCCTAATTTGTCATTGGGCCTCCCCCCAAGCTTTCCTTGTGGGTTTGAACCTCTAG +CACGGTGCAGTATGCGCCAAGTCATATGAAGCATCACTGATGAATGACATTATTGTCCAA +AAAGTTGGAGTGGAAGCGTGCTATTGCATACATGCAAATGAATTTTTTATGACTCTCGAC +ATATCGTGGTGTGATCGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCC +CGATGCCATCAGGCTAAGGGAACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGTCA +ATGGTTATACGTCATATAGACAGGTTTGCATTGCGTGGATGTGAAAGATTGGCCCCTTGT +GCCTAGGTGCGGTGGGTCTAAGGACTAGTGTTTTGATGGTTCGAAACCTGGCAGGAGGTG +GAGGATGTTGGCAGCTATAAGGCTATCATTTGAATCCCCCATATTGTCGTGTTTGTCGGA +CCTAGAGAAGAACATGTTTGAATCCCAATGGGGGCAAACAACCCTCGGGCGGTTGATTGC +CATTCATATGCGACCCCAGGTCAGGCGGCCACCCGCTGAG +>gi|2765646|emb|Z78521.1|CCZ78521 C.calceolus 5.8S rRNA gene and ITS1 and ITS2 DNA +GTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATATGATCGAGTGAATCC +GGTGGACTTGTGGTTACTCAGCTCGACATAGGCTTGGCTTTGGCGGTGACCCTAATTTGC +CATTGGGCCTCCTCCAAAGCTTTCCTTGTGGGTTTGAACCTCTAGCACGGTGCAGTATGC +GCCAAGTCATATGAAGCATCACCGATGAATGACATTATTGTCAAAAAGTTGGAGTGGAAG +CGTGCTATTGCATGCATGCAAATGAATTTTTTATGACTCTCGACAACGGATATCTTGGCT +CTTGCATCGATGAAGAACGCAGCAAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGTG +AACCATCGAGTCTTTGAACGCAAGTTGCGCCCGATGCCATCAGGCTAAGGGCACGCCTGC +CTGGGCGTCGTGTGCTGCGTCTCTCCTGTCAATGCTTTCATGTCATATAGATAGGTTTGC +ATTGCGTGGATGTGAAAGAATGGCCCCTTGTGCCTAGGTACGGTGGGTCTAAGGACTAGT +GTTTTGATGGTTCGAAACCTGGCAGGAGGTGGAGGATGTTGGCAGCTATAAGGCTATCAT +TTGAATCCCCCATATTGTCGTGTTTGTCGGACCTAGAGAAAAACATGTTTGAATCCCAAT +GGAGGCAAACAACTCTCGGGCGGTTGATTGCCATTCATATGCGACCCCAGGTCAGGCGGG +GCCACC +>gi|2765645|emb|Z78520.1|CSZ78520 C.segawai 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGCAGAATATA +TGATCGAGTGAATCCGGTGGACTTGTGGTTACTCAGCTCGCCATAGGCTTTGCTTTTGCG +GTGACCCTAATTTGTCATTGGGCCTCCTCCAAAGCTTTCCTTGTGGGTTTGAACCTCTAG +CACGGTGCAGTATGCGCCAAGTCATATGAATCATCACCGATGAATGACATTATTGTCCAA +AAAGTTGGAGTAGAAGCGTGCTATTGCATGCATGCAATAGAATATTTTATGACTCTCGAC +AAGGGATATCTTGGCTCTTGCATCGGATGAAGAACGCAGCGAAATTGTGATAAGTGGTGT +GAATTGCAGAATCCCGTGAACCATCGAGTATGTGAACGCAAGTTGCGCCCGATGCCATCA +GGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGTCAATGCTTTCCTG +TCATATCGATAGGTTTGCATTGTGTGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGCG +GTGGGTCTAAGGACTAGTGTTTTGATGGTTCGAAACCTGGCAGGAGGTGGAGGATGTTGG +CAGCTATAAGGTTGTCATGTGAATCCCCCATATTGTCGTGTTTGTCGGACCTGGAGAAGA +ACCTGTTTGAATCCCAATGGAGGCAAACAACCCTCGGGCGGTTGATTGCCATTCATATGC +GACCCCAGGTCAGGCGGGCCACCCGCTGAGTTT +>gi|2765644|emb|Z78519.1|CPZ78519 C.pubescens 5.8S rRNA gene and ITS1 and ITS2 DNA +ATATGATCGAGTGAATCTGGTGGACTTGTGGTTACTCAGCTCGCCATAGGCTTTGCTTTT +GCGGTGACCCTAATTTGTCATTGGGCCTCCTCCCAAGCTTTCCTTGTGGGTTTGAACCTC +TAGCACGGTGCAGTATGCACCAAGTCATATGAAGCATTGCCGATGAATGACATTATTGTC +CAAAAGTTGGAGTGGAAGCGTGCTACTGCATGCATGCAAATGAATTTTTTTATGACTCTC +GACAACGGATATCTTGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGATAAGTGGTG +TGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGATGCCATC +AGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCGTCTCTCCTGTCAATGCTTTCCC +ATCATATAGATAGGTTTGCATTGTGTGGATGTGAAAGATTGGCCCCTTGTGCCTAGGTGC +GGTGGGTCTAAGAACTTAATGTTTTGATGGTTCGAAACCTGGCAGGAGGTGGAGGATGTT +GGCAGCTATATAAGGCTATCATTTGAATCCCCCATATTGTCGCGTTTGTTGGACCTAGAG +AAGAACATGTTTGAATCCCAATGGAGGCAAACAACCCTCGGGCGGTTGATTGCCATTCAT +ATGCGACCCCAGGTCAGGCGGGGCCACCCGCTGAGTTTA +>gi|2765643|emb|Z78518.1|CRZ78518 C.reginae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGGAGGATCATTGTTGAGATAGTAGAATATT +CGATCGAGTGAATCCGGAGGACTTGTGGTTACTCGGCTCGTCGAAGGCTTAACTTTTGTG +GTGACCCTGATTTGTAGTTGGGCATCCTCGAGAGCTTTTATGGCGGGTTTGAGCCTCTAT +CACGGCGCAGTTTGCGCCAAGTCATATGAAGCATCGCCGACGAATTACATTATTGTCCCC +CAAACTCGGATGGACGGTGTGTGTTACGCATACCCGTGAACCATCGAGTCTTTGAACGCA +AGTTGCGCCCAAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGTGCTGCATCT +CTTTTGCCAATGCTTGCTCGACATACAATTAGGCCAGTATTGCATAGATATGAAAGATTG +ACCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATTGGTGTTTTGATGGCCCAAACCCCGG +CAGGAGGTGGAGCATGTTGATAGTCGCAAGGCTGTCGTTCAAATCCCACATGTTGTCGTA +TTTGCCGGACCCACAGAAGAACCTATTTGAACCCCTATGGAGGCAAAACAACCCTTGAGC +GATTGATTGCCATTCAGATACGACCCCAGGTCAGGCGGGGCCACCCGCTGAGTTTTCC +>gi|2765642|emb|Z78517.1|CFZ78517 C.flavum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTAGAATATA +CGATCGAGTGAATCCAGAGGACTTGTGGTTACTCGGCTCGTCCAAGTCTTAGCTTTTGTG +GCCCTGATTTGTCGTTGGGCATCCTCAGGAGATTTTATGGCGGGTTTGAACCTCTATCAC +GGTGCAGTTTGCGCCAAGTCATATGAAGCATCACCGATGAATGACATTATTGTCACAAAA +GTCGGATGGGCGGTGTGCTGTTGTGCATGCCAATAAATTTTTGATGACTCTCGGCCAACG +GATATCTTGCTCTTCCATCGATGAAGAACGCAGCGAAATGCGATAAGTGGTGTGAATTGC +AGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCAAGGCCATCAGGCTAAG +GGCACGCCTGCCTGGGCGTCGTGTGCTGCATCTCTTTTGCCAATGCTTGCCCGACATACA +ATTAGGACAGTATTGCATAGATATGAAAGATTGACCCCTTGTGCTTAGGTGCGGTGGGTC +TAAGGATTGGTGTTTTGGTGGCCCGAACCCCGGCAGGAGGTGGATCATGTTGATAGTCGC +AAGACTGTCATTCAAATCCCACATGTTGTCGTATTTGTCGGACCCACAGAAGAACCTATT +TGAACCCCAATGGAGGCAAAACAACCCTCGAGCGATTGATTGCCATTCAGATACGACCCC +AGGTCAGGCGGGGCCACCCGCTGAGTTTAAGC +>gi|2765641|emb|Z78516.1|CPZ78516 C.passerinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACAGTATAATATA +TGATCGAGTGAATCCGGAGGACTTGTGGTTACTCGGCTCGTCCAAGTCTTAGCTTTTGTG +GCCCTGATTTGTCGTTGGGCATCCTCAGGAGCTTTTATGGCGGGTTTGAACCTCTATCAC +GGCGCAGTTTGCGCCAAGTCATATGAAGCATCACCGACGAATGACATTATTGTCACCAAA +GTCGGATGGGCGGTGTGCTATTGTGCATACCAATAATTTTTTGATGACTCTCGTCAACGG +ATATCTTAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCT +TTGAACGCAAGTTGCGCCCAAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTCGTGT +GCTGCATCTCTTTTGCCAATGCTTGCCCGACATACAATTAGGCCAGTATTGCATAGATAT +GAAAGATTGACCCCTTGTGCTTAGGTGCGGTGGGTCTAAGGATTGGTGTTTTGATGTCCC +GAACCCCGGCAGGAGGTGGAGCATGTTGATAGTCGCAAGACTATCGTTCAAATCCCACAT +GTTGTCGTATTTGTCGGACCCACAGAAGAACCTATTTGAACCCCAATGGAGGCAAAACAA +CCCTCGAGTGATTGATTGCCATTCAGATATGACCCCAGGTCAGGCGGGGCCACCCGCTGA +GTTTAA +>gi|2765640|emb|Z78515.1|MXZ78515 M.xerophyticum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGCTGAGACCGTAGAATAAA +CGATCGAGTTAATCTGGAGGACCGGTGTACTTCGATCTCCCAGGGGCTTTCGCTACTGTG +GTGGCCTTTGATCTGCCATCGGGCCTCCTTGGGAGTGTTCTTGAAGGCGATCAAACTTCT +AGCCCGGCGCAGCTTCGCGCCAAGTCTTTTGAGACAAGAATCGGCATAGGGGTGTTCCCT +TGTAGCCGGTGGGGGTGGCACTTGATTCGTGCCCCCCAAGTTACATTTTTACAACTCTCG +GCAACGGATATCTCGGCTCTTGCATCGATGGAGGACGCAGCGAAATGCGATAAGTGGTGT +GAATTGCAGAATCCCGTGAACATCGAGTCTTTGAACGCAAGTTGCGCTCGAGGCCGTCAG +GCTAAGGGCACGCCTGCCTGGGCGTTGTGTACTGTGTCTCTCCCACCAATGGTTGTCCAA +GAATACCGTTCGGTCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGGTTCAATGGGTC +TAAGACCTCGGGCTTTTGATGGTCCAAAATTCGACAAGAGGTGGATGGGCAATGGCTGAG +CCAAAGCTGTTGTGCGAATGCCGTATGTTGTCCGATTTGATGGGCCATCATAATTCGTAG +GACCCTTCGGAACCCCATTGGTGCCACATCAACCCAACCCATGGGCGGTTGATTGCCATT +TGGAAGCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAGC +>gi|2765639|emb|Z78514.1|PSZ78514 P.schlimii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGGACCTTCGGGAGGATCATTTTTGAAGCCCCCAAATATA +CGATCGAGATAATCCGGAGGACCGGTGTACTTTGGTCTCCCAGGGGCTTCCGCCGCTGTG +GTGACCATGATTTCCCATCGAACCTCCTTGGGAGAGTTCTCTATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCTCCAAGTCAAATGAGATAGAACCGACAAGGGTCTTCGTCCTCC +ATGGATGGACCGGGGAGGGCCGGCGTGCTGCTGTGCCCCCTTAAGATTCGTCTGACAACT +CTCGTCAACGGATATCTCGGCTCTTGCATCGATGAAGAACCCAGCGAAATGTGATAAGTG +GTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCC +ATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCAATGCTAAGGT +TGAACAGCCATACTGTTCGGCCGGCGAGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCG +ATGGGTCCAAGACTTGGGCTTGTGACGGTCCACAAATCCGGCAAGAGGTGGACGGACGGT +GGCTGCGACAAAGCTGTTGTGCGAATGCCCTATGTTGTCGTATTTGATGGGCCGGAATGA +TCCCTTTCGAACCCCGTCGGAGGCACGTCGACCCAACCCATGGGCGGTTGACGGCCATTA +GGATGCAACCCCAGGTCAGGTGAGACTACCCGCTA +>gi|2765638|emb|Z78513.1|PBZ78513 P.besseae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATACA +CGATCGAGTTAATCCGGAGGACCGGTGTACTTTGGTCTCCCAGGGGCTTCCGCCGCTGTG +GTGACCATGATTTGCCATCGAGCCTCATTGGGAGATTTCTCCATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCAAATGAGATAGAACCGGCAAGGGCATCGTCCTCCA +TGGAGCCGGGGAGGCCGGCATGCTGCTGTGCCCGAAAGAATTTTCGACAACTCTCGGCAA +CGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGTGATAAGTGGTGTGAAT +TGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCT +AAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCAATGCTAAGGTTGAACAGC +CATACTGTTCGGCCGGCGAGGATGAGAGTTTGGCCCCTTGTTCTTCTGTGCGATGGGTCC +AAGACTTGGGCTTGTGACGGTCCACAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGA +CGAAGCTTTTGTGCGAATGCCCTATGTTGTCGTATTTGATGTGCCAGAACGATCCCTTTC +GAACCCCTTCGGAGGCACGTCGACCCAACCCATGGGCGGTGACGCCATTAGGATGCAACC +CAGTCAGTGAGCTACCGCTGAG +>gi|2765637|emb|Z78512.1|PWZ78512 P.wallisii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGGACCTTCGGGAGGATCATTTTTGAAGCCCCCAAAAAAA +CGATCGAATTAATCCGGAGGGCCGGTGTAGTTTGGTCTCCCAGGGGCCTTGGCTACTGTG +GTGACCGTGAATTTCCGTCGAACCCTCTGGGAGGAATTCTTGATGGCAAATGAAACCCTT +GGCCCGGCGCAGTTTCGCCCCAAATCAAATGAGATGGAACCGGCGGAGGGCATCGTCCCC +CATGGAACCGGGGAGGGCCGGCGTTCTTCCGTTCCCCCAATGAAATTATTTTTTGACAAC +TCTCGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGTGATAAGCT +GGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGC +CATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCATTGCTAA +GGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTCTTCGGT +GCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGACGGACG +GTGGCTGCGACGAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTATTTGATGGGCCGGAAT +AAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGGTCATTTGG +ATCCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAGC +>gi|2765636|emb|Z78511.1|PEZ78511 P.exstaminodium 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTTCGGAAGGATCATTGTTGAGACCCCCAAAAAAA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGCTACTGTG +GTGGCCGTGAATTTCCGTCGAACCTCCTTGGGAGAATTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCCCCAAGTCAAATGAGATGGAACCGGCGGAGGGCATCGTCCTCC +ATGGAACCGGGGAGGGCCGGCGTTCTTCCGTTCCCCCCATGAATTTTTTTTTGACAACTC +TCGGCAACGGATATCTCGGCTCTTTGCATCCGATGAAAGAACCCAGCGAAATGTGATAAG +TGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGG +CCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCATTGCTA +AGGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTCTTCGG +TGCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGACGGAC +GGTGGCTGCGACGAAGCTGTCGTGCGAATGCCCTACGCTGTCGTATTTGATGGGCCGGAA +TAAATCCCTTTTGAGCCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGGCCATTTG +GATGCAACCCCAGGTCAGGTGAGGA +>gi|2765635|emb|Z78510.1|PCZ78510 P.caricinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CTAACCAGGGTTCCGAGGTGACCTTCGGGAGGATTCCTTTTTAAGCCCCCGAAAAAACGA +TCGAATTAAACCGGAGGACCGGTTTAATTTGGTCTCCCCAGGGGCTTTCCCCCCTTGGTG +GCCGTGAATTTCCATCGAACCCCCCTGGGAGAATTCTTGGTGGCCAATGGACCCTTGGCC +CGGCGCAATTTCCCCCCCAATCAAATGAGATAGGACCGGCAGGGGGCGTCCCCCCCCATG +GAACCGGGGAGGGCCGGCATTCTTCCGTTCCCCCCTCGGATTTTTTGACAACTCTCGCAA +CGGATATCTCGCCTCTTTGCATCGGATGGAAGAACGCAGCGAAATGTGATAAGTGGTGTG +AATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAG +GCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAAC +GGGCATACTGTTCGGCCGGCGCGGATGAGAGATTGGCCCCTTGTTCTTCGGTGCGATGGG +TCCAAGACCTGGGCTTTTGACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGC +GACAAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTTTTTGATGGGCCGGAATAAATCCCT +TTTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTTGACGGCCATTTGGATGCAACC +CCAGGTCAGGTGAGCCACCCGCTGAGTTTA +>gi|2765634|emb|Z78509.1|PPZ78509 P.pearcei 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCGCTGTG +GTGACCGTGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCGGAGGGCGTCGTCCTCC +ATGGAGCGGGGAGGGCCGGCATGCTCCGTGCCCCCCCATGAATTTTTCTGACAACTCTCG +GCAACGGACGTAACAAGGTTTAAATGTGATAAGCAGGTGTGAATTGCAGAATCCCGTGAA +CCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGTTAAGGGCACGCCTGCCT +GGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAACGGGCATACTGTTCGGCCGG +CGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTG +ACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGACAGAGCTGTCGTGCGAA +TGCCCTACGTTGTCGTTTTTGATGGGCCAGAATAAATCCCTTTTGAACCCCATTGGAGGC +ACGTCAACCCAATGGGGGGTGACGGGCATTTGGTTAACCCCGGCAAGTTAAGGCACCCGT +TAATTTTAGGA +>gi|2765633|emb|Z78508.1|PLZ78508 P.longifolium 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCGCTGTG +GTGACCGTGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCAGGGGGCGTCGTCCTCC +ATGGAGCCGGGGAGGGCCGGCATGCTGCCGTGCCCCCAATGAATTTTTTGACAACTCTCG +GCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGTGATAAGTGGTGT +GAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCA +GGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAA +CGGGCATACTGTTCGGCCGGCGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGG +GTCCAAGACCTGGGCTTTTGACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTG +CGACAGAGCTGTCGTGCGAATGCCCTACGTTGTCGTATTTGATGGGCCGGAATAAATCCC +TTTGAACCCCATTGGAGGCACGTCAACCCCATGGGCGGTGACGGCCACTTGGATGCAACC +CAGTCAGTGAGCCACCGCTGA +>gi|2765632|emb|Z78507.1|PLZ78507 P.lindenii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCCCCAAAAAAA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGCTACTGTG +GTGACCGTGAATTTCCGTCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCCCCAAGTCAAATGAGATGGAACCGGCGGAGGGCATCGTCCTCC +ATGGAACCGGGGAGGGCCGGCGTGCTTCCGTCCCCCAATGAATTTTTTTGACAACTCTCG +CAACGGATATCTCGCTCTTGCATCGATGAAGAACACAGCGAAATGTGATAAGTGGTGTGA +ATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGG +CTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCATTGCTAAGGCTGAA +CAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTCTTCGGTGCGATGG +GTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGACGGACGGTGGCTG +CGACGAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTATTTGATGGGCCGGAATAAATCCC +TTTGAACCCCATTGGAGGCACGTCAACCCGTGGCGGTCGACGGCCATTTGGATGCAACCC +AGTCAGTGAGCCACCGCTGA +>gi|2765631|emb|Z78506.1|PLZ78506 P.lindleyanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCAAAATATA +CGATCGAGTTAATCCGGAGGACTGGTGTAGTTTGGTCTCCCAGGGGCGTTGGCTACTGCG +GTGACCATGATTTTCCATCGAGCCTCCTCGGGAGATTTCTTGATGGCAATTGAACCCTTG +GCCCGGCGCAGTTTCGCGCCAAGTCGTATGAGATAGAACCGGCAGAGGGCTTCGTCCTCC +ATGGAACCGGGGAGGACCGGCATGCCGCCGTACCCCCTTTGAATCGGGCTGACAACTCTC +GTTCAAGGAGCCCTCAGCTCATAATGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAAC +CATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTG +GGCGTTGCGTGCTGCATCTCTCCCGTTGCTAAGGTCGAACAGGCATATACTGTTCGGCCG +GCGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTT +GACGGTAAAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGACAAAGCTGTCGTGCGA +ATGCCCTACGTTGTCGTATTTGATGGGCCAGAATAAATCCCTTTTGAACCCCATTGGAGG +CACGTCAACCCATGGGCGGTTTGACGGCCATTGGATGCCAACCCAGTCAGGTGAGGCCAC +CCGCTGA +>gi|2765630|emb|Z78505.1|PSZ78505 P.sargentianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACTGGTGTAGTTTGGTCTCCCAGGGGCGGTGGCTACTGCG +GTGACCATGATATTCCATCGAGCCTCCTCGGGAGATTTCTTGATGGCAATTGAACCCGTG +GCCCGGCGCAGTTTCGCGCCAAGTCGTATGAGATAGAACCGGCAGAGGTCTTCGTCCTCC +ATGGAACCGGGGAGGCCCGGCATACCACCATACCCCCAATGAATCTTTGTGACAACTCTC +GTCAATGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCA +AGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCT +CTCCCGTTGCTAAGGTCGAACAGGCATACTGTTCGGTCGGCGCGGATGAGAGTTTGGCCC +CTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGGTAAAAAATCCGGCAAG +AGGTGGACGGACGGTGGCTGCGACAAAGCTGTCGTGCGAATGCCCTGCGTTGTCGTATTT +GATGGGCCGGAATAAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTT +GACGGCCATTTGGATGCAACCCCAGGTCAGGTGAGCCACCCGCTGAGTTTT +>gi|2765629|emb|Z78504.1|PKZ78504 P.kaiteurum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTTCGGAAGGATCATTGTTGAGACCGCAAAATATA +CGATCGAGTTAATCCGGAGGACTGGTGTAGTTTGTCTCCCAGGGGCGTTGGCTACTGCGG +TGACCATGATTTTCCATCGAGCCTCCTCGGGAGATTTCTTGATGGCAATTGAACCCTTGG +CCCGGCGCAGTTTCGCGCCAAGTCGTATGAGATAGAACCGTCAGAGGGCATCGTCCCTCC +ATGGAGCCGGGGAGGGCCGGCATGCCCGCCGTGCCCCCAATGAATCTTTTTGACAACTCT +CGCAACGGATATCTCGCTCTTCATCGATGAAGAACGCAGCGAAATGTGATAAGTGGTGTG +AATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGCCATCAGG +CTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCGTTGCTAAGGTCGAACA +GACATACTGTTCGGCCGGCGCGGATGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGT +CCAAGACCTGGGCTTTTGACGGTACCAAATCCGACAAGAGGTGGACGGACGGTGGCTGCG +ACAAAACTGTCGTGCGAATGCCCTACGTTGTCGTATTTGATGGGCCAGAATAAATCCCTT +TTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTGACGGCCATTGGATGCAACCCCA +GTCAGTGAGCCACCGCTGAGTAA +>gi|2765628|emb|Z78503.1|PCZ78503 P.czerwiakowianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGAACCTCCGGAAGGATCCTTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCGCTGTG +GTGTCCGTGATTTACCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCATG +GCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCAGGGGGCGTCGTCCTCC +ATGGAACCGGGGAGGGCCGGCATGCTACCGTACCCCCAATGAATTATTTTGACAACTCTC +GGCAACGGAGTCTCAGCTCTTTGTGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGC +GTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTGAACGGGCATACTGTTCGGCCGGCGCG +GACGAGAGTTTGGCCCCTTGTTCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGG +TCCAAAATCCGGCAAGAGGTGGACGGACGGTGGCTGCGACAAAGCTGTCGTGCGAATGCC +CTACGTTGTCGTATTTGATGGGCCAGAATAAATCCCTTTTGAACCCCATTGGAGGCACGT +CAACCCATGGGCGGTTGACGGCCATTTGGATGCAACCCCAGGTCAGGTGAGCCACCCGCT +GAGATAA +>gi|2765627|emb|Z78502.1|PBZ78502 P.boissierianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGACCGCCAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTCGCCCCTGTG +GTGACCGTGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCATG +ACCCGGCGCAGTTTCGCGCCAAGTCATATGAGATAGAACCGGCAGGGGTCGTCGTCCTCC +ATGGAGCCGGGGAGGGCCGGCATACTACCGTCCCCCCAATGAATTTTATATTGACAACTC +TCGGCCGGAATCTCGGCTCTTGCATCGATGGAAGGACGCAGCGAAAATGTGATAAGTGGT +GTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCAT +CAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCCCATTGCTAAGGTTG +AACGGGCGTACTGTTCGGCCGGCGCGGACGAGAGTTTGGCCCCTTGTTCTTCGGTGCGAT +GGGTCCAAGACCTGGGCTTTTGACGGTCCAAAATCCGGCAAGAGGTGGACGGACGGTGGC +TGCGACAAAGCTGTCGTGCGAATGCCCTACGTTGTCGTATTTGATGGGCCAGAATAAATC +CCTTTTGAACCCCATTGGAGGCACGTCAACCCATGGGCGGTTGACGGCCATTTGGATGCA +ACCCCAGGTCAGGTGAGGCCACCCCGTGAGTTTACGC +>gi|2765626|emb|Z78501.1|PCZ78501 P.caudatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGACCGCAAAATATA +CGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGTTACTGTG +GTGACCGTGACTTTGCCGTCGAGCCTCCTTGGGAGATTTCTTGATGGAAATTGAACCCTT +GGCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATGGAACCGGCGGAGGGAATCGTCCTC +CATGGAGCCGGGGAGGGCCGGCGTGTTGCCGTGCCCCCAATGAATTTTTTTTTGGGCAAC +TCTCGGCCAAACGGGAAATCTCGGCTCCTTGCATCGGATGGAAGGACGCAGCGAAATTGT +GATAAGTGTTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCG +CCCGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCC +ATTGCTAAGGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGT +TCTTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTG +GACGGACGGTGGCTGCGACGAAGCTGTCGAGCGAATGCCCTACGCTGTCGTATTTGATGG +GCCGGAATAAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGG +CCATTTGGATGCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAGA +>gi|2765625|emb|Z78500.1|PWZ78500 P.warszewiczianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGCTCATTGTTGAGACCGCAAAATAAT +TGATCGAGTTAATCCGGAGGACCGGTGTAGTTTGGTCTCCCAGGGGCTTTGGTTACTGTG +GTGACCGTGACTTTGCCGTCGAGCCTCCTTGGGAGATTTCTTGATGGCAATTGAACCCTT +GGCCCGGCGCAGTTTCGCGCCAAGTCATATGAGATGGAACCGGCGGAGGGCATCGCCCTC +CATGGAGCCGGGGAGGGCCGGCGTCCTGCCGTGCCCCCAATGAATTTTTCTTTGGGAAAA +CTTCTCGGCCAACGGGAATCTCGGCTCTTTGCATCGGATGGAAGGACGCAGCGAATTGTG +ATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCC +CGAGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCGTTGCGTGCTGCATCTCTCTCCCAT +TGCTAAGGCTGAACAGGCATACTGTTCGGCCGGCGCGGATGAGTGTTTGGCCCCTTGTTC +TTCGGTGCGATGGGTCCAAGACCTGGGCTTTTGACGGCCGGAAATCCGGCAAGAGGTGGA +CGGACGGTGGCTGCGACGAAGCTGTCGTGCGAATGCCCTACGCTGTCGTATTTGATGGGC +CGGAATAAATCCCTTTTGAACCCCATTGGAGGCACGTCAACCCGTGGGCGGTCGACGGCC +ATTTGGATGCAACCCCAGGTCAGGTGAGGCCACCCGCTGAGTTTAAG +>gi|2765624|emb|Z78499.1|PMZ78499 P.micranthum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAGGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGATAATCCAGAGGATCGGTTTACTTTGGTCACCCTTGGGCGCCTGCTATTGCG +GTGACCTAGATTTTCCATGGAGGGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACC +CTTGCCCGTCGCAGTTTTGCACCAAGTCATATGACACATAAATGGTGAAGGACATACCCC +CTTCGTTGAATTCGAGGAGGGGACGGCATGTGGCCTTGACCTCTCCCAATTATTTTTTTG +ACAACTCTCAGCCAACGGATATCTCGGCTCTTTGCATCGGATGGAGGACGCAGCGAAATG +CGATAAGTGTGTGAATTGCAAGATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGC +CCAAGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAA +TGAGGCTGTCCATGCATACTGTTCAGCCGGTGCGGATGTGAGTTTGCCCCCTTGTTCTTT +GGTGCTGGGGGTCTAAGAGCTGCAGGGGCTTTTGATGGTCCTAAATTCGGCAAGAGGTGG +ACGAATCATGCTACAACAAAACTGTTGGGCGAATGCTCCAGGTTGTCGTATTAGATGGGC +CATCATAATCTAGAGACCCTTGTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTG +ATGGCCTTTTGGATGCGACCCCAGGTCAGGTGAGCAACC +>gi|2765623|emb|Z78498.1|PMZ78498 P.malipoense 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAAGGTCATTGTTGAGATCACATAATAAT +TGATCGAGTTACTCCAGAGGATCAGTTTACTCCGGTCACCCATGGGTGCTTGCTATTGCG +GTGACCTAGATTTGCCATGGAGCCTCCTTGGGAGTTTTCTTGCCGGCGATCTTACCCTTG +CCCGGGGCAGTTTTGCCCCAAGTCATATGACACAATAATGGCGAAGGAGGGGGCGGCATT +TTGCCCTTGACCCTACAATCACTCCCCCTCTCCAAATTATTTTTGGACAACTCTCAGCAA +CGGATATCTCGGCTCTTGCATCGATGAAGAACCCAGCGAAATGCGATAAGTGGTGTGAAT +TGCAGGATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCAAGGCCATCAGGCC +AAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTACATGC +ATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGGTGCTGGGGGTCTA +AGAGCTGCAGGGGCTTTTGATGGTCCTAAATTCGGCAAGAGGTGGACGAATTACAACAAA +ACTGTTGTGCGAATGCTCCAGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCT +TGTGAACCCCACTGGAGGCACATCAACCCGTGATCAGTTGATGGCCATTTGTTGCGACCC +CAGTCAGTGAGCAACCCGCTGAGTTTAAGC +>gi|2765622|emb|Z78497.1|PDZ78497 P.delenatii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTGAATCCAGAGGATCAGTTTACTTTGGTCGCCCATGGGCGCTTGCTATTGCG +GTGACCTAGATTTGCCATGGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACCCTTG +CCCGGCGCAGTTTTGCGCCAAGTCACATGACACATAAATGGTGAAGGGCACGGCCCTTTG +TGAATTCAAGGAGGTGAAGGGCATGTGGCCTTGAGCCTACACTCCCTCCCCCTCTCCAAA +TTATTTTTTGTGAAACAACTCTCAGCAACGGAGATCTCAGCTCTTGCATCGATGAAGGAA +CGCAGCGAAATGCGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGA +ACGCAAGTTGCGCCCAAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCA +TATCTCTCCCTTAACGAGGCTGTCCAGGCATACTGTTCAGCCGGTGCGGGTGTGAGTTTG +GCCCCTTGTTCTTTGGTGCTGGGGGTCTAAGAGCTGCAGGGGCTTTTGATGGTCCTAAAT +TCGGCAAGAGGTGGACGCAACGCGCTACAACAAAACTGTTGTGCGAATGCCCCGGGTTGT +CGTATTAGATGGGCCAGCATAATCTAAACACCCTTGTGAACCCCATTGGAGGCCCATCAA +CCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTGAGGCAACCCGCTGA +GTTTAAGC +>gi|2765621|emb|Z78496.1|PAZ78496 P.armeniacum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCCAGAGGATCGGTTTACTTTGGTCACCCTTGGGCGCCTGCTATTGCG +GTGACCTAGATTTGCCATGGAGGGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACC +CTTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGCATATCCC +TTCGTGAATTCGAGGAGGGGCCGGCATGTGGCCTTGACCTCTCCAATTAATTTTTTGAAC +AACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGGAGGGACGCACCGAAATGCGAT +AAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTTGAACGCAAGTTGCGCCC +AAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAAT +GAGGCTGTCCATGCATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTG +GTGCTGGGGGTCTAAGAGCTGCAGGGGCTTTTGATGGTCCTAAATTCGGCAAGAGGTGGA +CGAATCATGCTACAACAAAACTGTTGGGCGAATGCTCCAGGTTGTCGTATTAGATGGGCC +ATCATAATCTAGAGACCCTTGTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGA +TGGCCTTTTGGGTTGCGACCCCAGGTCAGGTGAGGCAACCAGCTGAGTTTAAGC +>gi|2765620|emb|Z78495.1|PEZ78495 P.emersonii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATAATCCAGAGGATCGGTTTACTTTGGTCACCCATGGGCGCTTGCTATTGCG +GTGACCTAGAGTTGCCATGGAGAGCCTCCTTGGGAGCTTTCTTGCCGGCGATCTAACCCT +TGTCCGGCGCGGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGCATAGCCCTT +CGTGTATTCAAGGAGGGGGGGCGGCATGTGGCCTTGACACTGCACTCGCTCTCCCCCTCT +CCAAAGTATTTTTCTGAACAACTCTCAGCAACGGATATCTCAGCTCTTGCATCGGATGGA +GGAACGCAGCGAAATCCGATAAGTGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCT +TTTGAACGCAAGTTGCGCCCGAGGCCATGAGGCCAAGGGCACGCCTGCCTGGGCATTGCG +AGTCATCTCTCTCCCTCAATGAGGCTGTCCATGCATACTGTTCAGCCGGTGCGGATGTGA +GTTTGGCCCCTTGTTCTTTGGTGCTGGGGGTCTAAGAGCAGCAGGGGCTTTTGATGGTCC +TAAATTCGGCAAGAGGTGGACGAATCAGGCTACAACAACACTGTTGTTGTGCGAATGCTC +CAGGTTGTCGTATTAGATGGGCCGGCATAATCCAGAGACCCTTGTGAACCCCATTGGAGG +CCCATCAACCCATGATCAGTTGATGGCCATTCGGTTGCGACCCCAGGTCAGTGAGCAACC +CGCTGAGTG +>gi|2765619|emb|Z78494.1|PNZ78494 P.niveum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGGTCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGACATTTACTGTTGCA +GTGACCTAGATTTACCATCGGGCCTCCTTGGGAACTTTCCTGCTGGCGATCTATACCCTT +GCCCGGCGCAGTAATGCGCCAAATCAAATGACCCATAATTAATGAAGGGGGACGGCATAC +TGCCTTGACCAACTCCCCATTATTGAGGTAACACTCTCAACTTCGGATATCTCAGGTGTG +AATTGCAGAATCCCGTTAACATCGAGTCTTTGAACGCAAGTTGGGCCCGAGGCCAACAGG +CCAAGGGAACGCCTGTCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCAT +ACGTACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGGTACGGGGGGTC +TAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTA +CAACAAAACTGTTGTGCGAATGCCCCGGGTTGTTGTGTTTAATCAGAAGACCCTTTTGAA +CCCCATTGGAGGCCCATCGACCCATGATCAGTTGAATGGCCATTTGGTTGCGATCCCAGG +TCAGGTGAGGCAACCCGCTGAGTTTAAG +>gi|2765618|emb|Z78493.1|PGZ78493 P.godefroyae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGATTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCGGTTTACTTTGGTCACCCATGGGCATTTTCTGTTGCA +GTGACCTAGAATTTCCATCGGGCCTCCCTGGGAGCTTTCCTGCTGGCGATCTATACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCAAATTTTACATAAGTGGTGAAGGGGGGCGGCATTC +TTCCTTGACCAGCCCCCAAGTATTTAGGTAACAACTCTCAGCAACGGATATCTCGGCTCA +TGCATCGATGAAGGAACGCAGCGAGATTCGATAAATGGTGTGCCTTGCAGAATCCCGTGA +ACCATCGAATCTTTGAACGCAAGTTGCGCGCGAGGCCATCAGCCCAAGGGGACGCCTGCC +TGGACATTGCGACTCATATCTCTCCCTTAATGAGGCTGTCCAAACGTACTGGTCATCCGG +TGTGGATGTGAGTTTGGCCCCTTGTTCTTCGGTACGGGGGGTCTAAGAGCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGC +GAATGCCCCGGGTTGTTGTGTTTAATCAGAAGACCCTTTTGAACCCCATTGGAGGCCCAT +CGACCCATGATCAGTTGAATGGCCATTTGGTTGCGATCCCAGGTCAGGTGAGGCAACCC +>gi|2765617|emb|Z78492.1|PBZ78492 P.bellatulum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCACGGGCATTTGCTGTTGCA +GTGACCTAGAATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTATACCCT +TGCCCGGCGCAGTTTTGCGCCAAGTCATATGTCACATAATTGGTGAAGGGGGGGAGCGTA +CTGCCTTGACCCACTCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGATGTAGAACCCAGCGAAATGCGATACTGGTGTGATTTGCAGAATCCCGTGGA +CCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCT +GGGCATTGCGAGTCAAATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGT +GCGGATGTGAGTTTGGCCCCTTGTTCTTTGGGACGGGGGGTCTAAGAGCTGCACGGGCTT +TTGATGGTCCTAAATACGGCAAGAGGTGGACGAATTATGCTACAACAAAACTGTTGTGCG +AATGCCCCGGGTTGTTGTGTTACATGGGCCAGCTTAATCAGAAGACCCTTTTGGACCCCA +TTGGAGGCCCATCAACCCATGATCAGTTGATTGGCCATTTGGTTGCGATCCCAGTCAGGT +GAGGCACACCGCTGAGTTTAATA +>gi|2765616|emb|Z78491.1|PCZ78491 P.concolor 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCACGGGCATTTGCTGTTGCA +GTGACCTAGATTTGCCATCGGGCCTCCTTAGGAGCTTTCTTGCTGGCGATCTATACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGTTGGGGGGAGGCGTGC +TGCCTTGACCCGCTCCAAATTATATTTTTAACAACTCTCAGCAACGGATATCTCGGCTCT +TGCATCGATGAAGAACCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAAC +CATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTG +GGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTG +CGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTT +TGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATGTTGTGCGAA +TGCCCCGGGTTGTTGTGTTACATGGACCAGCATAATCAGAAGACCCTTTGGACCCCATTA +GAGGCCCATCAACCCATGATCAGTTGAATGGCCATTTGTTGCGATCCCAGTCAGGTGAGC +AACCCGCTGAGATAAGC +>gi|2765615|emb|Z78490.1|PFZ78490 P.fairrieanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTGAACCCTA +GTCCGGCGCAGTTTTGCGCCAAGTCATATGGCACATAATTGGTGAAGGGGGCGGCATGCT +GCCTCGACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCAAACATACTGTTCAGCCGGTGC +GGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAACGCTGCATGGGCTTTT +GATGGTCCTAAATACGGCAAGAGGTGGACGACTGTTCTGCAACAAGTGTTGTGCGAATGC +CCCGCGTTGTCGTATTAGATGGGCCAGCATAATTTGAAGACCCTTTTGAACCCCATTGGA +GGCCCGTCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCCAGTCAGGTGAGCAA +CCAGCTGA +>gi|2765614|emb|Z78489.1|PDZ78489 P.druryi 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCGAGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCGA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGCGGCATGCT +GCCTTGACCCTCCCCAGATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGG +GGATGTGGGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCATGGGATTTT +GATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAA +TGCCCCGAGTTGTCGTATTAGATGGGCCCAGCATATCTGAAGACCCTTTTGAACCCCATG +GAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTGAG +GCAACCCGCTGAGTTTAGGC +>gi|2765613|emb|Z78488.1|PTZ78488 P.tigrinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CTGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACGCAATAATTGATCGAGTTAAT +CTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGTTATTGCAGTGACCGAGATTT +GCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTTAACCCTAGCCCGGCGCAGTT +TTGCGCCAAGTCATACGACACATAATTGGTGAAGGGGGCGGCATGGTGCCTTGACCCTCC +CCTAATTATTTTCTAACAACTCTCATCAACGGGATGGAGAACGCAGCGAAATGCGATAAA +TGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACCCAAGTTGCGCCCGAGG +CCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCAAATCTCTCCCTTAATGAGG +CTGTCCATACATACTGTTCAACCGGTGCGGATGTGAGTTTGCCCCCTTGTTCATTGGTAC +GGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAAAACGGCAAGAGGTGGACGAA +CAACGCCACAACCAAACTGTTGTGCGGATCCCCCGGGTTGTCGTATTAGATGGGCCATCA +TAATCTGAAGACCCTTTTGAACCCCATCGGAGGCCCATCAACCCATGATCAGTTGATGGA +CATTTGTTGCGACCCCAGTCAGGTGAGCAACCGGCT +>gi|2765612|emb|Z78487.1|PHZ78487 P.hirsutissimum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTACTCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGCGGCATGCT +GCCTTTACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATATTGTTCAGCCGGTGC +GGATGTGAGTTCGGCCCCTTGTTCTTCGGTACGGGGGGTCTAAGAGCAGCATGGGCTATC +GATGGTCCTAAATGCGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAA +TGCCCCGGGTTGTCGTATTAGATGGGCCAGCGTAATCTAAAGACCCTTTTGAACCCCATT +AGAGGCCCATCAACCCATGATCAGTTGGGGCCACTTGTTGCGACCCCAGTCAGGTGAGCA +ACCGCTGAGTAA +>gi|2765611|emb|Z78486.1|PBZ78486 P.barbigerum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTCACGAGGTTTCCGTAGGTGAATCTGCGGGAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATTATCTGGAGGATCAGTTTACTTTGGTCACCCATGGACATTTGCTATTGCA +GTGCCCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGTGCGGCATGGT +GCCTGACCCTCCCCAAATTATTTCTTAACAACTCTCAGCAACGGATATCTCGCTCTTGCA +TCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGG +ATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGCTTTTGA +TGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAATG +CCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGG +AGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTAGCGACCCCAGGTCAGGTGAGG +CAACCCGCTGA +>gi|2765610|emb|Z78485.1|PHZ78485 P.henryanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CTGAACCTGGTGTCCGAAGGTGAATCTGCGGATGGATCATTGTTGAGATATCATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCATGGGCATTTGCTATTGCAG +TGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTAG +CCCGGGGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGTGCGGCATGGTG +CCTTGACCCTCCCCAAATTATTTCTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGC +ATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCCGTGAACA +TCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTGCAGCCGGTGCG +GATGTGAGTTTGGGCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGCTTTTG +ATGGTCCTAAATACGCCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAAT +GCCCCGGGTTGTCGTATTAGACGGGCCAGCACAATCTAAAGACCCCTTTGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGATGGCCATGTGTTGCGACCCCAGTCAGCTGAGCA +ACCCCTGATTTAGTA +>gi|2765609|emb|Z78484.1|PCZ78484 P.charlesworthii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGGGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGGCTATTGC +AGTGACCGAGAGTTTACCATCGAGCCTCCATGGGAGCTTTCTTGCTGGCGATCTAAACCC +TAGCCCGGCGCAGTTTTGGCCCAAGTCATATGACACATAATTGTGAAGGGGCGGCATGTT +TCCTACCCTCCCAACTCTCAGCAACGGATATCTCGCTCTTGCATCGATGAAGAACGCAGC +GAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTGGAACGCAA +GTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTC +TCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCT +TGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGCTTTTGATGGTCCTAAATACGGCA +AGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAATGCCCCGGGTTGTCGTATT +AGATGGGCCAGCATAATCTAAAGACCCTTTGACACCCCATTGGAGGCCCATCAACCCATG +ATCAGTTGATGGTCCATTGGGTTGCGACCCCAAGTCAGGTGAAGCAACTCCCTGAGTTTT +>gi|2765608|emb|Z78483.1|PVZ78483 P.villosum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGCGGCATGCT +GCCTTGACCCTCCCCCAAATTATTTTTTAACAACTCTCAGCAACGGAAATCTGGCCTCTT +GCATGGATGAAGACCAAACCGAAATCATAAATGGTGTGAATTGCAGAATCCCGTGAACAA +TCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCACACATATCTGTTCAGCCGGTGC +GGATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTT +GTTGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTGCGAA +TGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATT +GGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAAGTGA +AGCAACCCCTGAGTTTAGCA +>gi|2765607|emb|Z78482.1|PEZ78482 P.exul 5.8S rRNA gene and ITS1 and ITS2 DNA +TCTACTGCAGTGACCGAGATTTGCCATCGAGCCTCCTGGGAGCTTTCTTGCTGGCGATCT +AAACCGTAGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGC +GGCATGCTGCCTTGACCCTCCCCAAATTATTTTTTAACAACTCTCNGCAACGGATATCTC +GCCTCTTCATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCC +GTGAANCCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGC +CTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCA +GCCGGTGCGGATGTGCGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGT +GGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGT +TGTGCGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGA +ACCCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGG +TCAGGTGAGGCAACCCGCTGAGTTTAGCA +>gi|2765606|emb|Z78481.1|PIZ78481 P.insigne 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGCGAAGGGGGCGGCATGGT +GCCTTGACCCTCCCCAAATCATTTTTTTAACAACTCTCAGCAACGGAAGGGCACGCCTGC +CTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCACACATACTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCTAAGAGCTGCGTGGGC +TTTTGTTGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAACTGTTGTG +CGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGA +>gi|2765605|emb|Z78480.1|PGZ78480 P.gratrixianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTATTGCA +GTGACCGAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTA +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGCGAAGGGGGCGGCATGCT +GCCTTGACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATAGGCCATCAGGCT +AAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTCAATGAGGCTGTCCACA +CATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCATTGGTACGGGGGGTCT +AAGAGCTGCGTGGGCTTTTGTTGGTACCTAAATACGGCAAGAGGTGGACGAACTATGCTA +CAACAAAAATGTTGTGCGAATGCCCCGGGTTGTCGTATAGATGGGCCAGCATAATCTAAA +GACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGA +>gi|2765604|emb|Z78479.1|PPZ78479 P.primulinum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCAGGAGGATCAGGTTACTTTGGTCACCCATGGGCATTTGCTGTTTCA +GTGACCTAGATTTGCCATCGAGCCGAACTAAACCCTTGCCCGGCGCAGATTTGCGCCAAT +TTATATGAGACATTACTGGAAGGGGAGGGATGCTGCCTTGCCTTGCCCCCCAAATTATTT +TTTAACAACTCTCAGCAACGGATATCTCGCCTCTTGCATCGATGAAGAACGCAGCGAAAT +GCGATAAATGGTGTGAATACAGAGATCCCGTGAACCATCGAGTCTTGAACGCAAGTTGCG +CCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGACATATCTCTCCCTT +AATGAGGCTGTCGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGG +GGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTA +TGCGACAACAGAACTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAA +TCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCAAGATCAGTTGACGGCCAT +TTGGATGCGACCCCAGGTCAGGTGAGGCAACCCTCTGAGT +>gi|2765603|emb|Z78478.1|PVZ78478 P.victoria 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCAGTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGGGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGCA +GTGGCCTAGAGTTTGCCATCGAGCCGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAA +GTCATATGACACATAACTGGAAGGGGCGGCATGCTGCCATGGCTCCCCCAAATATTGATA +ATGGCGTGATAGCAGATCCCTGAACATCGAGTTTTGAACGCATGTTGCGTCCGAGGCCAT +CAGGTCAAGGGGACGCCTGCCTGGAAATTGTGAGACATATCTCTCCCTTAATGAGGCTGC +CATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTCCTTTGGTACGGGGG +TCTAAGAGCTGTATGGGTTGGATGGTCCTAAATACGGCAAGAGGTGGACGAGCTATGTGA +CAACAGAACTGTTGTGCGAATGCCCCGGTTGTCGTTTAGATGGGTCAGCATAATCTAAAG +ACCCTTTTGACCCCCATTGGAGGCCCATCAACCCATTATCAGTTGAGGACATTTGGTTGC +GACCCAGGTCAGATGAGGCACCCGCTGAGTTTAGGC +>gi|2765602|emb|Z78477.1|PVZ78477 P.victoria 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATGATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTGCTTTGGTCACCCATGGGCATTTGCTGTTGCA +GTGACCTAGATTTGCCATCGAGCCGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAAG +TCATATGACACATAATTGGAAGGGGCGGCATGCTGCCTTGCCCTCCCCAAATATTTGTTA +ACCAACTCTCAGCAACGAGTATCTCGGCTCTTGCATCGGATGGAAGGACGCAGCGAAATG +CGATAAATGGTGTGAATTGCAAGAATCCCTGAACCATCGAGTCTTTGGAACGCAAGTTGC +GGCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGACATATCTCTCCCT +TAATGAGGCTGTCCACACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTC +TTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGG +TGGACGAACTATGCGACAACAGAACTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATG +GGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAG +TTGACGGCCATTTGGTTGCGACCCCAGGTCAGGTGAGGCAACCGCTGAGTTTATGC +>gi|2765601|emb|Z78476.1|PGZ78476 P.glaucophyllum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATGATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGTA +GTGACCTAGATTTGCCATCGAGCCGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAAG +TCATATGACACATAATTGGAAGGGCGGCATGCTGCCTTGGCCCTCCCCAAATTATTTTTT +TAACAACTCTCAGCAACGGATATCTCGGCTCTTAGGCCATCCGGCCAAGGGCACGCCTGC +CTGGGCATTGCGAGACATATCTCTCCCTTAATGAGGCTGTCCATACATACAGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATCCACCTAAATACGGCAAGAGGTGGACGAACTATGCGACAACAGAACTGTTGCG +CGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAATCC +CATTGGAGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCC +>gi|2765600|emb|Z78475.1|PSZ78475 P.supardii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCGT +CCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGTGGCATGCTGCC +TTGACCCTCCCCAAATTATTTTTTTGACAACTCTCAGCAACGGATATCTCGGCTCTTNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNATCAGGCCAAGGGCACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCAATGCG +GATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTG +ATGGTCCAAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAAT +GCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCAGGTCAGGT +>gi|2765599|emb|Z78474.1|PKZ78474 P.kolopakingii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACGTAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTTCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCCAATCATATGACACATAATTGGAAGGGCGGCATCCTGCCT +TGACCCTCCCCAAATTATATTTTTGACAACTCTCAGCAACGGATATCTCGCCTCTTGCAT +CGATGAAGACACAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCG +AGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCAT +TGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGAT +GTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATG +GTCCAAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAATGCC +CCGGGTTGTCGTATTAGATGGGCCAGCATAATCTACAGACCCTTCTGAACCCCATTGGAG +GCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCCAGGTCAGGTGAAGCA +ACCCGTTGAGCTT +>gi|2765598|emb|Z78473.1|PSZ78473 P.sanderianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGGGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGTA +GTGACCTGGATTTGCCATCGAGCCTCCATGGGAGCTTTCTTGGTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTGTTAACAACTCTCAGCAACGGATATCTCGGCTCTTCC +CGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTCA +ATGAGGCTGTCCATACATACTGTTCAGTCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTT +GCCTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTACCTAAATACGGCAAGAGGT +GGACGAACTATGCTACAACAAAATTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATGG +GCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGT +TGACGGCCATTTGGTTGCGACCCAGG +>gi|2765597|emb|Z78472.1|PLZ78472 P.lowii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTAGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAATCGTT +GCCCGGCGCAGTCTTGCGCCAAGTCATTTCACACATAATTGGAAGGGGGCGGCATGCAGT +CTAAGACCCTCCCCAAATTATTTTTTGATAACTCTCAGCAACGGAATCTCGGCTCTTGCA +TCGATGGAGGACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCTTTAATGAGGCTGTCTATACATACTGTTCAGCCACAGCGG +ATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGA +TGGTCTTAAATACGGCAAGAGGTGGACGAAGTATGCTACAACAAAATTGTAGTTCGAATG +CCCAGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTGAACCCCTTTAGA +GGCCAATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAAGTCAGGTGAGGC +AACCGCTGAGTTTAAGC +>gi|2765596|emb|Z78471.1|PDZ78471 P.dianthum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTAGAGGATCGGTTTACTTTGGTCACCCATGGGCATCTGCTCTTACA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTGTCTTGCTGGCGATCTAAATCGTT +GCCCGACGCAGCCTTGCGTCAAGTCACCCCGACACATAATGGAAGGGGGCGGCATGCTGC +CTTGACCCTTCCCCAAATTAATTTTTTGACAACTCTCAACATCGGATATCTCGGCTCTTG +CATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACC +ATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCTTGG +GCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCAGTGC +GGATGTGAGTTTGGCCCCTTGTTCTTTAGTACGGGGGGTCTAAAAGCTGCATGGGCTTTT +GCTGGTCCTAAATACGGCAAGAGGTGGACAAAGTATGCTACAACAAAATTGTAGTGCGAA +TGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATTTAAAGACCCTTTTGAACCCCATT +AGAGGCCCATCAACCCTGATCAGTTGATGGCCATTTGGTTGCGACCCCAAGTCAGGTGAG +GCAACCCGCTGAGTTTAAGC +>gi|2765595|emb|Z78470.1|PPZ78470 P.parishii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTAGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTACA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAATCGTT +GCCCGACGCAGCCTTGCGTCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTTCCCAAATTATTTTTTTAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACG +CCTGCTTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTC +AGCCAGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTACTACGGGGGGTCTAAAAGCTGCA +TGGGCTTTTGCTGGTCCTAAATACGGCAAGAGGTGGACAAAGTATGCTACAACAAAATTG +TAGTGCGAATGCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATTTAAAGACCCTTTTG +AACCCCATTAGAGGCCCATCAACCCTGATCAGTT +>gi|2765594|emb|Z78469.1|PHZ78469 P.haynaldianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTAGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAATTCGT +TGCCCGGCGCAGTCTTGCGCCAAGTCATATCACACATAATTGGAAGGGGGCGGCATGCGG +TCTAGACCCTCCCCAAATTATTTTTTTGACAACTCTCAGCAACGGATATCTCGGCTCTTC +CATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGC +TGTCCATACATACTGTTCAGCCACAGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACG +GGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTACCTAAATACGGCAAGAGGTGGACGAA +GTATGCTACAACAAAATGATAGTGCGAATGCCCAGGGTTGTCGTATTAGATGGGCCAGCA +TAATCTAAAGACCCTTTTGAACCCCATTAGAGGCCCATCAACCCATGATCAGTT +>gi|2765593|emb|Z78468.1|PAZ78468 P.adductum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCGCATAATAAT +TGATTGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACTCATGGGAATCTGCTCTTGTA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGATGGCGATCTGAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGGAGGGGCAGCATGCTGCC +TTGACCCTCCCCATATCATTTTTTTAACGACTCTCAGCTCCGGAACTCAAGTTGCGCCCG +AGGCCATCAGGCTAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATG +AGGCTGTCCATACATACTGTTCAGCCAGTGCGGATGTGAGTTTGGCCCCTTGTTCTTCGG +TACGGGGGGTCTAAGAGCAGCTGGGCTTTTGATGGACCTAAATACGGCAAGAGGTGGACG +AAGTATGCTACAACAAAATTATTGTGTGAATGCCCCGGGTTGTCGTATAGATGGGCCAGC +ATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGACGG +CCATTTGGTT +>gi|2765592|emb|Z78467.1|PSZ78467 P.stonei 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGTGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTTTGACAACTCTCAGCAACGGATATCTCGGCTCTTGCA +TCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGTACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCCGGTGCGG +ATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGTGCCTTTGG +TGGTCCAAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAATG +ACCCGGGTTGTCGTATTAGCTGGGCCAGCATAATCTAAAGACCCTCTTGAACCCCATTGG +AGGCCCATCAACCCATGATCAGTTGACGGCCATATGTTTGCGACCCAGGTCAGGTGAGGC +AACCCGCTGA +>gi|2765591|emb|Z78466.1|PPZ78466 P.philippinense 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGTA +GTGACCTGGATTTGCCATCGAGCCTTCATGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTTGTAACAACTCTCAGCAACGGATATCTCGGCTCTTTG +CCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTA +ATGAGGCTGTCCATACATACAGTTCAGCCTGTGCGGATGTGAGTTTGGCCCCTTGTTCTT +GCGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTG +GACGAACTATGCTACAACAAAATTGTTGTGCGAATGCCCCGGGTTGTCGTATTAGATGGG +CCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTT +GACGGCCATTTGGTTGCGACCCAGGTCAGGTGAGGCAACCC +>gi|2765590|emb|Z78465.1|PRZ78465 P.rothschildianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGCA +GTGACCTGGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGCGATCTAAACCCTT +GCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGC +CTTGACCCTCCCCAAATTATTTTTTTGACAACTCTCAGCAACGGATTTCTCGGTTCTTGA +ATCGATGAGGAACGCAGCGAAATGCGATAATTGGTGTGAATTGAAGAATCCCGTAAACCA +TCGAGTCTTTGAACGAAAGTTGCGCCCGAGGCCATCAGGCCAAGGGAACGCCTGCCTGGG +CATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAGCGAGTGCG +GATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTG +ATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCGAAT +GCCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGC +>gi|2765589|emb|Z78464.1|PGZ78464 P.glanduliferum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAGCGGAAGGGTCATTGTTGAGATCACATAATAATTGAT +CGGTTGAGTCTGGAGGATCAGTTTACTTTGGTCACCCATGGGCATCTGCTCTTGTAGTGA +CCTGGATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGAGATCTAAACCCTTGCCCG +GAGCAGTTTTGCGCCAAGTCATATGACACATAATTGGAAGGGGGCGGCATGCTGCCTTGA +CCCTCCCCAAATTATTTTCTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGA +TGAAGAACGCAGCGAAATCCGATAAATGGTGTGAATTTCAGAATCCCGTGAACCATCGAG +TCTTTGAACGCCAAGTTCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTT +CGAATCAAATCTCTCCCTTAATGAGGCTGTCCAAACATACTGTTCAACCGGTTCGGATGT +GAGTTTGGCCCCTTTTTCTTTGGGGCGGGGGGTCTAAGAACTTCATGGGCTTTTGGTGGT +CCTAAAAACGGCAAGAGGTGGGCGGACTATTCTTCAACCAAATTTCTGTTCGGATTCCCC +GGGCTTTCGTAATAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGGAGGC +CCATCAACCCATGATCAGTTGACGGCCATTTGGTGCGACCCCAGGTCAGGTGAGCAACCC +GCTGAGTTTAAGC +>gi|2765588|emb|Z78463.1|PGZ78463 P.glanduliferum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGTTCATTGTTGAGATCACATAATCAT +TGTTCGGTTGAGTCTGGAGGATCAGTTTACTTTGGTCACCATGGGCATCTGCTCTTGTAG +TGACCTGGATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGCTGGGGATCTAAACCCTCGC +CCGGGGGAGTTTTGCGCCAAGTCATATGACACATAATTGGGAGGGGGCGGCATGTTGCCT +TGACCCTCCCCAAATTATTTTCTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGCAT +CGATGGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGC +ATTGCGAGTCATATCTCTCCCTTAATGAGGCTGTCCATACATACTGTTCAACCGGTGCGG +ATGTGAGTTTGGCCCCTTTTTCTTTGGGGCGGGGGGTCTAAGAGCTGCATGGGCTTTTGA +TGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTGCAACAAAATTGCTGTGCGAATA +CCCCGGGTTGTCGTATTAGATGGGCCAGCATAATCTAAAGACCCTTTTGAACCCCATTGG +AGGCCCATCAACCCATGATCAGTTGACGGCCATTTGGTTGCGACCCCAGATCAGGTGAGC +AACCCGCTGAGTTTAAGC +>gi|2765587|emb|Z78462.1|PSZ78462 P.sukhakulii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTCACGAGGTCTCCGGATGTGACCCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGCAGGATCTGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGATTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATANNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNCGCCT +GCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGC +CGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGG +GCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTG +TGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAAC +CCCATTGGAGGCCCAT +>gi|2765586|emb|Z78461.1|PWZ78461 P.wardii 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGGTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCAGTTGCTGCTGGA +GTGACCTAGAATTTCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTACCCGGCGCAATTTTTCCCCCAGTCAAATGACACATAATTGGTGGAGGGGGTGGCATT +CTTCCCTGACCCTCCCCCAAATAATTTTTTCACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGATGAAGAACGCACCGAAATCCGATAAATGGTGTGAATTCCAGAATCCCGTGA +ACCATCGAGTCTTTGAACCCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGAACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGCCTGTCCATACATCCTGTTCAGCCGG +TGCGGATGTGAGTTTGCCCCCTTGTTCTTTGGTACGGGGGGTCTAAGACCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACACCAAAATTGTTGTCC +AAAGCCCCCGGGTTGTCGTATAAGATGGGCCACCGTAATCTGAAGACCCTTTGAACCCCA +TTGGAGCCCATCAACCCATGATCAGTTGATGCCATTGTTGCGACCCAGTCAGTGAGCAAG +CCGCTGAGTTAA +>gi|2765585|emb|Z78460.1|PCZ78460 P.ciliolare 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGGATATCTCGGCT +CTTGCATCGGATGGAGGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCG +TGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCT +GCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGC +CGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGG +GCTTTTGATGGTCCCAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTG +TGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAAC +CCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGGTTGCGACCCCAGGT +CAGGTGAGGCAACCCGCTGAGTTTA +>gi|2765584|emb|Z78459.1|PDZ78459 P.dayanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGGATGGAGGAACGCAGCGAAATTGCGATAAATTGGTGTGAATTGCAGAATCCC +GTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCC +TGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAG +CCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATG +GGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTT +GTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAA +CCCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGT +CAGGTGAGGCAACCCGCTGAGTTT +>gi|2765583|emb|Z78458.1|PHZ78458 P.hennisianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCGTACGACACATAATTGGTGAAGGGGGTGGCATC +CTTCCCTGACCCTCCCCAAATTATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCT +TGCATCGATGGAGGACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGATCCCGTGAAC +CATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTG +GGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTG +CGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTT +TGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAG +AGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCCAT +TGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTG +AGGCAACCCGCTGAGTTG +>gi|2765582|emb|Z78457.1|PCZ78457 P.callosum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTTCTGTTGTA +GTGACCTAGAATTTCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTTCCCCCAGTCAAATGGCACATAATTGGTGGAGGGGGTGGCATT +CTTCCCTGACCCTCCCCCAAATATTTTTTTAACAACTCTCAACAACGGATATCTCGGCTC +TTTCATCGGATGAAGGACCGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGT +GAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTG +CCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCC +GGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGG +CTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATCGTTGT +GCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTAAAGACCCTTTTGAACC +CCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCA +GGTGAGGCAACCCGCTGAG +>gi|2765581|emb|Z78456.1|PTZ78456 P.tonsum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACC +CTTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGGAGGGGGTGGCAT +CCTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCCGGT +CTGGCATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGATTGCAGAATCCCGTGA +ACATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCT +GGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGT +GCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTT +TTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCA +AAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGGACCCCA +TTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGGTTGCGACCCAGGTCAGGT +GAGGCAACCCTGAGTTTAGC +>gi|2765580|emb|Z78455.1|PJZ78455 P.javanicum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACCAGGTTTCCGTAGGTGGACCTTCGGGAGGATCATTTTTGAGATCACATAAAAAT +TGATCGAGTTAATCTGGAGGAACTTTTTACTTTGGTCACCCATGAACAATTTCTTTTGGA +GTGACCTAGAATTTCCATCGAACCCCCTTGGGAACTTTCTTTTTGGCGAGAACTAAACCC +TTTCCCGGCGCAGTTTTTCCCCCAATCAAATTACACAAAAATGGTGGAGGGGGTGGCATC +CTTCCCTTACCCTCCCCCAAATAATTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGCATCGGTTGAAGAACCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGG +TGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGCACGGGGGGTCTAAGAGCTTCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGC +AAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCC +ATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGGTTGCGACCCCAGGTCAG +GTGAGGCAACCCGCTGAGTTTAGCA +>gi|2765579|emb|Z78454.1|PFZ78454 P.fowliei 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTACCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTTCTCCAAGTCATTTGACACATAATCGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCCCACTATTGTTAACAACTCTCATCAACGGAACTCATGCGATAA +ATGGTGTGATTTGCAGAATCCCGTGAACCATCGAGTCTGTGAACGCAAGTTGCGGCCGAG +GCCATCAGACCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAG +GCTGTCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTCTGGTA +CGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGA +ACTATGCTACAACAAAATTGTTGTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACC +GTAATCTGAAGCCCCTTTTGAACCCATTGGAGGCCCATCAACCNCATGATCAGTTGATGG +CCATTTGGATGCGACCCCAGGTCAGGTGAGGCAAC +>gi|2765578|emb|Z78453.1|PSZ78453 P.schoseri 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAGTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAACTCATTTGACACATAACTGGTGAAGGGGGTGGCATC +CTTCCCTGACCCTCCCCCAAATTATTTTTTAACAACTCTCAGCAACCGGATATCTCAGCT +CTTGCATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTG +AACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGC +CTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTG +CAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAG +GTGAGGCAACCCGCTGAGTTTAGCA +>gi|2765577|emb|Z78452.1|PBZ78452 P.bougainvilleanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTATTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCAAGCCTCCTTGGGAGCTTTCTTTTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTGCCCTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTC +TTGAATCGATGAAGAACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGG +TGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGATGAACTATGCTACAACAAAATTGTTGTGC +AAAGGCCCCGGGTTGTCGTATTAGATGGGCCACTGTAATCTGAAGACCCTTTTGAACCCC +ATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGATGCGACCCCAGGTCAGG +TGAGGCAACCGCTGAGTTTAGCA +>gi|2765576|emb|Z78451.1|PHZ78451 P.hookerae 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGTACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGATAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGTA +GTGACCTAGATTTCCATGGAGCCCCCCTGGGAGCTTTCTTGCTGGCGAGATCTAAACCCG +TGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGTAGGGGGCGGGCATC +CTGCCCTGACCCTCCCCAAAGTATTTTTTGCAACTCTCAACAACGGAAATCTCGCTCTTT +CATCGATGAAGAACCAGCGAAATCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCAT +CGAGTCTTTGAACCCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACCCCTCCCTGGGC +ATCGCGAGTCAAATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCACCCGGTGCGG +ATGTGAGTTTGCCCCCTTGTTCTTTGGTACGGGGGGTCTAAGACCTGCATGGGATTTTGA +TGGTCCTAAAAACGGCAAGAGGTGGACGAACTATCCCTACAATAAAATTGTTGTGCGAAG +CCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTATAGAACCCCATTG +GAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGATGCGACACCAGTCAGTGAGCAA +CCAGCTGAGC +>gi|2765575|emb|Z78450.1|PPZ78450 P.papuanum 5.8S rRNA gene and ITS1 and ITS2 DNA +GGAAGGATCATTGCTGATATCACATAATAATTGATCGAGTTAAGCTGGAGGATCTGTTTA +CTTTGGTCATCCATGAGCATTTACTGTTGAAGTGACCTAGATTTGCCATCGAGCCTCCTT +GGGAGCTTTCTTGTTGCCGAGATCTAAACCCTTGCCCGGCGCAGTTTTGCGCCAAGTCAT +ATGACACATAATTGGTGAAGGGGGTGGCATCCTGCCCTGACCCTCCCCAAATTATTTTTT +TAACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGC +GATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGC +CCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTCCGAGTCATATCTCTCCCCTA +ACGAGGCTGTCCATACATACTGTTCATCCGGTGCGGATGTGAGTGTGGCCCCTTGTTCTT +TGGTCCGGGGGGTCTAAGAACTGCATGGGCATATGATGGTCCTCAAAACTGGCAAGAGGT +GGACGAACTATGCTACAACCAAATTGTTGTGCCAAGGCCCCGGGTTGTCGTATTAGATGG +GCCACCGTAACCTGTAGACCCTGTTGAACCCCATTGGAGGACCATCAACCCATGATCAGT +TGATGACCATGTGTTGCGACCCCAGATCAGCTGAGCAACCCCTGAG +>gi|2765574|emb|Z78449.1|PMZ78449 P.mastersianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAACTCATTTGACACATAATTGGTGAAGGGTGGCATCCT +GCCCTGACCCTCCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCAGCTCT +TGCATCGATGAAGAACGCAGCGAAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGG +TGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCT +TTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACTAAATTGTTGTGC +AAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCC +ATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGG +TGAGGCAACCCGCTGAGTTTATGC +>gi|2765573|emb|Z78448.1|PAZ78448 P.argus 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTTCCCGGCGCAGTTTTGCGCCAAGTCGTATGACACATAATTGGTGAAGGGGGGTGGCAT +CCTTCCCTTGACCCTCCCCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCAGC +TCTTGCATCGGATGGAAGAACGCACCGAAATGCGATAAATGGTGTGAATTGCAGAATCCC +GTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCC +TGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAG +CCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATG +GGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAANAAAATTGTT +GTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAA +CCCCATTGGAGGCCCATCAGCCCATGATCAGTTGATGGCCATTTGGNTGCGACCCCAGGT +CAGGTGAGGCAACCCGCTGAGG +>gi|2765572|emb|Z78447.1|PVZ78447 P.venustum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGATTCCGTAGGTGAACCTGCGGGAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTCCTGTTGAAG +TGACCTAGAGTTGCCATCGAGCCTCCCTGGGAGCTTTCTTGTTGGCGAGAACTAAACCCT +TACCCGGCGCAATTTTGCCCCCAGTCAAATGACACATAAGTGGTGAAGGGGGTGGCATCC +TATCTCGGCTCTTGCATCGATGAAGAACCCAGCGAAATGCGATAAATGGTGTGAATTGCA +GAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGG +GCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATAC +TGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAG +CTGCATGGGCTTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACACCAA +AATTGTTGTGCAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCC +TTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGAC +CCCAGTCAGGTGAGGCAACCCGCTGAGTTTAAGC +>gi|2765571|emb|Z78446.1|PAZ78446 P.acmodontum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTCCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTCCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATC +CTCCCCAAATAATTTTTTAACAACTCTCAGCAACGGATACTCGGCTCTTCATCGATGGAG +GACCAGCGAAATTGCGATAATGGTGTGATTGCAGAATCCCGTGAACATCGAGTCTTTGAA +CGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGATTGCGAGTCATA +TCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTGCAGATGTGAGTTTGGC +CCCTTGTTCTTCGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGCCCTAAATAC +GGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAAAGGCTCCGGGTTGTCG +TATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACC +CATGATCAGTTGATGGCCATTTGGTTGCGACCCAGGTCAGGTGAGGCAACCC +>gi|2765570|emb|Z78445.1|PUZ78445 P.urbanianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGGGTTAATCTGGAGGATCTGTTTACTTTGGTCACCCATGAGCATTTGCTGTTGAA +GTGACCTAGAATTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCC +TTGCCCGGCGCAGTTTTGCTCCAAGTCGTTTGACACATAATTGGTGAAGGGGGTGGCATC +CTTCCCTGACCCTCCCCCAACTATTTTTTTAACAACTCTCAGCAACGGAGACTCAGTCTT +CGGCAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGCACCATCGAGTCTTTGAACG +CAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATAT +CTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCC +CCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGCTTTTGATGGTCCTAAATACG +GCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAGAGGCCCCGGGTTGTCGT +ATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCC +ATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAGGTGAGCAACAGCTGT +>gi|2765569|emb|Z78444.1|PAZ78444 P.appletonianum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGGTGAACTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTGGGTCACCCATGGGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCATCCTTGTTGGCGATATCTAAACCC +TCAATTTTTCCCCCAATCAAATTACACAAAATTGGTGGAGGGGGTGGCATTCTTCCCTTA +CCCTCCCCCAAATATTTTTTTAACAACTCTCAGCAACGGATATCTCAGCTCTTGCATCGA +TGAAGAACCCACCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAG +TCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTG +CGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCGGTGCGGATGT +GAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGATGCATGGGCTTTTGATGGT +CCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTGCAAAGGCCCC +GGGTTGTCGTATAAGATGGGCCACCGATATCTGAAGACCCTTTTGGACCCCATTGGAGCC +CATCAACCCATGTCAGTTGATGGCCATT +>gi|2765568|emb|Z78443.1|PLZ78443 P.lawrenceanum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGTTAATCTGGAGGATCTGTTTACTTGGGTCACCCATGGGCATTTGCTGTTGAA +GTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGATATCTAAACCC +TTGCCCGGCAGAGTTTTGGGCCACANNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN +NNNNNNNNNNNNNNNNNNNCAGCGAAATGCGATAATGGTGTGAATTGCAGAATCCCGTGA +ACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCC +TGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACACACCTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAACAAAATTGTTGTG +CAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCATAATCTGAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCAGTCAGGT +GAGG +>gi|2765567|emb|Z78442.1|PBZ78442 P.bullenianum 5.8S rRNA gene and ITS1 and ITS2 DNA +GTAGGTGAACCTGCGGAAGGATCATTGTTGAGATCACATAATAATTGATCGAGTTAATCT +GGAGGATCTGTTTACTTTGGTCACCCATGGGCATTTGCTGTTGAAGTGACCTAGATTTGC +CATCGAGCCTCCTTGGGAGCTTTCTTGTTGGCGAGATCTAAACCCTTGCCCGGCGGAGTT +TGGCGCCAAGTCATATGACACATAATTGGTGAAGGGGGTGGCATCCTGCCCTGACCCTCC +CCAAATTATTTTTTTAACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGA +ACGCAGCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTG +GAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGGGAAT +CATATCTCTCCCCTAACGAGGCTATCCAAACATACTGTTCATCCGGTGCGGATGTGAGTT +TGGCCCCTTGTTCTTTGGTACCGGGGGTCTAAGAGCTGCATGGGCATTTGATGGTCCTCA +AAACGGCAAGAGGTGGACGAACTATGCCACAACAAAATTGTTGTCCCAAGGCCCCGGGTT +GTCGTATTAGATGGGCCACCGTAACCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATC +AACCCATGATCAGTTGATGACCATTTGTTGCGACCCCAGTCAGCTGAGCAACCCGCTGAG +T +>gi|2765566|emb|Z78441.1|PSZ78441 P.superbiens 5.8S rRNA gene and ITS1 and ITS2 DNA +GGAAGGTCATTGCCGATATCACATAATAATTGATCGAGTTAATCTGGAGGATCTGTTTAC +TTGGTCACCCATGAGCATTTGCTGTTGAAGTGACCTAGATTTGCCATCGAGCCTCCTTGG +GAGTTTTCTTGTTGGCGAGATCTAAACCCTTGCCCGGCGGAGTTGTGCGCCAAGTCATAT +GACACATAATTGGTGAAGGGGGTGGCATCCTGCCCTGACCCTCCCCAAATTATTTTTTTA +ACAACTCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGA +TAAATGGTGTGAATTGCAGAATCCCGTGAACCATCGAGTCTTTGAACGCAAGTTGCGCCC +GAGGCCATCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAAC +GAGGCTGTCCATACATACTGTTCATCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTG +GTACGGGGGGTCTAAGAGCTGCATGGGCATTTGATGGTCCTCAAAACGGCAAGAGGTGGA +CGAACTATGCTACAACCAAATTGTTGTCCCAAGGCCCCGGGTTGTCGTATTAGATGGGCC +ACCGTAACCTGAAGACCCTTTTGAACCCCATTGGAGGCCCATCAACCCATGATCAGTTGA +TGACCATGTGTTGCGACCCCAGTCAGCTGAGCAACGCGCTGAG +>gi|2765565|emb|Z78440.1|PPZ78440 P.purpuratum 5.8S rRNA gene and ITS1 and ITS2 DNA +CGTAACAAGGTTTCCGTAGGTGGACCTCCGGGAGGATCATTGTTGAGATCACATAATAAT +TGATCGAGGTAATCTGGAGGATCTGCATATTTTGGTCACCCATGGGCAATTTCTGTTGTA +GTGACCTAGAATTTCCATCGACCCTCCTTGGGAGCATTCTTGTTGGCGAGAACTAAACCC +TTACCCGGCGCAGTTTTTCCCCCAATCAAATTACACAAAAATGGTGGAGGGGGTGGCATA +TCTTCCCTTACCCTCCCCCAAATAATTTTTTAACAACTCTCAGCAACGGATATCTCAGCT +CTTGCATCGTTGAAGAACCCACCGAAATGCGATAAATGGTGTGAATTGCAGAATCCCGTG +AACCATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCATCAGGCCAAGGGCACGCCTGC +CTGGGCATTGCGAGTCATATCTCTCCCTTAACGAGGCTGTCCATACATACTGTTCAGCCG +GTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGCTACGGGGGGTCTAAGAGCTGCATGGGC +TTTTGATGGTCCTAAATACGGCAAGAGGTGGACGAACTATGCTACAGCAAAATTGTTGTG +CAAAGGCCCCGGGTTGTCGTATTAGATGGGCCACCGTAATCTGAAGACCCTTTTGAACCC +CATTGGAGGCCCATCAACCCATGATCAGTTGATGGCCATTTGGTTGCGACCCCAGGTCAG +GTGAGGCAACCCCTGAGTTTAGCA +>gi|2765564|emb|Z78439.1|PBZ78439 P.barbatum 5.8S rRNA gene and ITS1 and ITS2 DNA +CATTGTTGAGATCACATAATAATTGATCGAGTTAATCTGGAGGATCTGTTTACTTTGGTC +ACCCATGGGCATTTGCTGTTGAAGTGACCTAGATTTGCCATCGAGCCTCCTTGGGAGCTT +TCTTGTTGGCGAGATCTAAACCCCTGCCCGGCGGAGTTGGGCGCCAAGTCATATGACACA +TAATTGGTGAAGGGGGTGGTAATCCTGCCCTGACCCTCCCCAAATTATTTTTTTAACAAC +TCTCAGCAACGGATATCTCGGCTCTTGCATCGATGAAGAACGCAGCGAAATGCGATAATG +GTGTGAATTGCAGAATCCCGTGAACATCGAGTCTTTGAACGCAAGTTGCGCCCGAGGCCA +TCAGGCCAAGGGCACGCCTGCCTGGGCATTGCGAGTCATATCTCTCCCTTAATGAGGCTG +TCCATACATACTGTTCAGCCGGTGCGGATGTGAGTTTGGCCCCTTGTTCTTTGGTACGGG +GGGTCTAAGAGCTGCATGGGCTTTGGATGGTCCTAAATACGGAAAGAGGTGGACGAACTA +TGCTACAACAAAATTGTTGTGCAAATGCCCCGGTTGGCCGTTTAGTTGGGCC diff --git a/tests/contrib/io/bioinformatics/test_sequence_dataset.py b/tests/contrib/io/bioinformatics/test_sequence_dataset.py new file mode 100644 index 0000000000..44bca6c004 --- /dev/null +++ b/tests/contrib/io/bioinformatics/test_sequence_dataset.py @@ -0,0 +1,57 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from kedro.contrib.io.bioinformatics import BioSequenceLocalDataSet + + +def test_save_load_sequence_file(): + ifile = "tests/contrib/io/bioinformatics/ls_orchid.fasta" + data_set = BioSequenceLocalDataSet( + filepath=ifile, load_args={"format": "fasta"}, save_args={"format": "fasta"} + ) + fasta_sequences = data_set.load() + data_set.save(fasta_sequences) + reloaded_list = data_set.load() + assert fasta_sequences[0].id == reloaded_list[0].id + assert len(fasta_sequences) == len(reloaded_list) + assert data_set.exists() + + +def test_save_sequence_file_to_missing_directory(tmp_path): + """Ensure directories are created if missing at write time""" + directory = tmp_path / "missing" / "dir" + ifile = directory / "file" + data_set = BioSequenceLocalDataSet( + filepath=str(ifile), + load_args={"format": "fasta"}, + save_args={"format": "fasta"}, + ) + data_set.save([]) + reloaded = data_set.load() + assert reloaded == [] + assert directory.is_dir() diff --git a/tests/contrib/io/catalog_with_default/__init__.py b/tests/contrib/io/catalog_with_default/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py b/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py new file mode 100644 index 0000000000..bebffe8279 --- /dev/null +++ b/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py @@ -0,0 +1,111 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-import +import pytest + +from kedro.contrib.io.catalog_with_default import DataCatalogWithDefault +from kedro.io import CSVLocalDataSet, DataCatalog, MemoryDataSet +from tests.io.conftest import dummy_dataframe, filepath # NOQA +from tests.io.test_data_catalog import data_set, sane_config # NOQA + + +def default_csv(name): + return CSVLocalDataSet(name) + + +def test_load_from_unregistered(dummy_dataframe, tmpdir): # NOQA + catalog = DataCatalogWithDefault(data_sets={}, default=default_csv) + + path = str(tmpdir.mkdir("sub").join("test.csv")) + catalog.save(path, dummy_dataframe) + reloaded_df = catalog.load(path) + + assert dummy_dataframe.equals(reloaded_df) + + +def test_save_and_load_catalog(data_set, dummy_dataframe, tmpdir): # NOQA + catalog = DataCatalogWithDefault(data_sets={"test": data_set}, default=default_csv) + + path = str(tmpdir.mkdir("sub").join("test")) + catalog.save(path, dummy_dataframe) + reloaded_df = catalog.load(path) + assert dummy_dataframe.equals(reloaded_df) + + +def test_from_sane_config(sane_config): # NOQA + with pytest.raises( + ValueError, match="Cannot instantiate a `DataCatalogWithDefault`" + ): + DataCatalogWithDefault.from_config( + sane_config["catalog"], sane_config["credentials"] + ) + + +def test_from_sane_config_default(sane_config, dummy_dataframe, tmpdir): # NOQA + catalog = DataCatalog.from_config( + sane_config["catalog"], sane_config["credentials"] + ) + catalog_with_default = DataCatalogWithDefault.from_data_catalog( + catalog, default_csv + ) + path = str(tmpdir.mkdir("sub").join("missing.csv")) + catalog_with_default.save(path, dummy_dataframe) + reloaded_df = catalog_with_default.load(path) + assert dummy_dataframe.equals(reloaded_df) + + +def test_default_none(): + with pytest.raises( + TypeError, + match="Default must be a callable with a " + "single input string argument: the " + "key of the requested data set.", + ): + DataCatalogWithDefault(data_sets={}, default=None) + + +# pylint: disable=unused-argument +def default_memory(name): + return MemoryDataSet(5) + + +def test_remember_load(): + catalog = DataCatalogWithDefault( + data_sets={}, default=default_memory, remember=True + ) + assert catalog.load("any") == 5 + assert "any" in catalog.list() + + +def test_remember_save(tmpdir, dummy_dataframe): # NOQA + catalog = DataCatalogWithDefault(data_sets={}, default=default_csv, remember=True) + + path = str(tmpdir.mkdir("sub").join("test.csv")) + catalog.save(path, dummy_dataframe) + assert tmpdir.join("sub").join("test.csv") in catalog.list() diff --git a/tests/contrib/io/pyspark/__init__.py b/tests/contrib/io/pyspark/__init__.py new file mode 100644 index 0000000000..1ef045335e --- /dev/null +++ b/tests/contrib/io/pyspark/__init__.py @@ -0,0 +1,31 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging + +logging.getLogger("py4j").setLevel(logging.WARN) diff --git a/tests/contrib/io/pyspark/test_memory_data_set.py b/tests/contrib/io/pyspark/test_memory_data_set.py new file mode 100644 index 0000000000..e097b1d5c9 --- /dev/null +++ b/tests/contrib/io/pyspark/test_memory_data_set.py @@ -0,0 +1,103 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=no-name-in-module +import pytest +from pyspark.sql import DataFrame as SparkDataFrame +from pyspark.sql import SparkSession +from pyspark.sql.functions import col, when + +from kedro.io import MemoryDataSet + + +def _update_spark_df(data, idx, jdx, value): + session = SparkSession.builder.getOrCreate() + data = session.createDataFrame(data.rdd.zipWithIndex()).select( + col("_1.*"), col("_2").alias("__id") + ) + cname = data.columns[idx] + return data.withColumn( + cname, when(col("__id") == jdx, value).otherwise(col(cname)) + ).drop("__id") + + +def _check_equals(data1, data2): + if isinstance(data1, SparkDataFrame) and isinstance(data2, SparkDataFrame): + return data1.toPandas().equals(data2.toPandas()) + return False # pragma: no cover + + +@pytest.fixture(scope="module") +def spark_session(): + spark = SparkSession.builder.getOrCreate() + yield spark + spark.stop() + + +@pytest.fixture +def spark_data_frame(spark_session): + return spark_session.createDataFrame( + [(1, 4, 5), (2, 5, 6)], ["col1", "col2", "col3"] + ) + + +@pytest.fixture +def memory_data_set(spark_data_frame): + return MemoryDataSet(data=spark_data_frame) + + +def test_load_modify_original_data(memory_data_set, spark_data_frame): + """Check that the data set object is not updated when the original + SparkDataFrame is changed.""" + spark_data_frame = _update_spark_df(spark_data_frame, 1, 1, -5) + assert not _check_equals(memory_data_set.load(), spark_data_frame) + + +def test_save_modify_original_data(spark_data_frame): + """Check that the data set object is not updated when the original + SparkDataFrame is changed.""" + memory_data_set = MemoryDataSet() + memory_data_set.save(spark_data_frame) + spark_data_frame = _update_spark_df(spark_data_frame, 1, 1, "new value") + + assert not _check_equals(memory_data_set.load(), spark_data_frame) + + +def test_load_returns_same_spark_object(memory_data_set, spark_data_frame): + """Test that consecutive loads point to the same object in case of + a SparkDataFrame""" + loaded_data = memory_data_set.load() + reloaded_data = memory_data_set.load() + assert _check_equals(loaded_data, spark_data_frame) + assert _check_equals(reloaded_data, spark_data_frame) + assert loaded_data is reloaded_data + + +def test_str_representation(memory_data_set): + """Test string representation of the data set""" + assert "MemoryDataSet(data=<DataFrame>)" in str(memory_data_set) diff --git a/tests/contrib/io/pyspark/test_spark_data_set.py b/tests/contrib/io/pyspark/test_spark_data_set.py new file mode 100644 index 0000000000..fe90178a16 --- /dev/null +++ b/tests/contrib/io/pyspark/test_spark_data_set.py @@ -0,0 +1,218 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import tempfile +from os import listdir +from os.path import exists, join + +import pandas as pd +import pytest +from pyspark.sql import SparkSession +from pyspark.sql.functions import col # pylint: disable=no-name-in-module +from pyspark.sql.types import IntegerType, StringType, StructField, StructType +from pyspark.sql.utils import AnalysisException + +from kedro.contrib.io.pyspark import SparkDataSet +from kedro.io import CSVLocalDataSet, DataSetError, ParquetLocalDataSet + + +def _get_sample_pandas_data_frame() -> pd.DataFrame: + return pd.DataFrame( + {"Name": ["Alex", "Bob", "Clarke", "Dave"], "Age": [31, 12, 65, 29]} + ) + + +def _get_sample_spark_data_frame(): + schema = StructType( + [ + StructField("name", StringType(), True), + StructField("age", IntegerType(), True), + ] + ) + + data = [("Alex", 31), ("Bob", 12), ("Clarke", 65), ("Dave", 29)] + + return SparkSession.builder.getOrCreate().createDataFrame(data, schema) + + +def test_load_parquet(tmpdir): + temp_path = str(tmpdir.join("data")) + pandas_df = _get_sample_pandas_data_frame() + local_parquet_set = ParquetLocalDataSet(filepath=temp_path) + local_parquet_set.save(pandas_df) + spark_data_set = SparkDataSet(filepath=temp_path) + spark_df = spark_data_set.load() + assert spark_df.count() == 4 + + +def test_save_parquet(): + # To cross check the correct Spark save operation we save to + # a single spark partition and retrieve it with Kedro + # ParquetLocalDataSet + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = join(temp_dir, "test_data") + spark_data_set = SparkDataSet( + filepath=temp_path, save_args={"compression": "none"} + ) + spark_df = _get_sample_spark_data_frame().coalesce(1) + spark_data_set.save(spark_df) + + single_parquet = [ + join(temp_path, f) for f in listdir(temp_path) if f.startswith("part") + ][0] + + local_parquet_data_set = ParquetLocalDataSet(filepath=single_parquet) + + pandas_df = local_parquet_data_set.load() + + assert pandas_df[pandas_df["name"] == "Bob"]["age"].iloc[0] == 12 + + +def test_load_options_csv(tmpdir): + temp_path = str(tmpdir.join("data")) + pandas_df = _get_sample_pandas_data_frame() + local_csv_data_set = CSVLocalDataSet(filepath=temp_path) + local_csv_data_set.save(pandas_df) + spark_data_set = SparkDataSet( + filepath=temp_path, file_format="csv", load_args={"header": True} + ) + spark_df = spark_data_set.load() + assert spark_df.filter(col("Name") == "Alex").count() == 1 + + +def test_save_options_csv(): + # To cross check the correct Spark save operation we save to + # a single spark partition with csv format and retrieve it with Kedro + # CSVLocalDataSet + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = join(temp_dir, "test_data") + spark_data_set = SparkDataSet( + filepath=temp_path, + file_format="csv", + save_args={"sep": "|", "header": True}, + ) + spark_df = _get_sample_spark_data_frame().coalesce(1) + spark_data_set.save(spark_df) + + single_csv_file = [ + join(temp_path, f) for f in listdir(temp_path) if f.endswith("csv") + ][0] + + csv_local_data_set = CSVLocalDataSet( + filepath=single_csv_file, load_args={"sep": "|"} + ) + pandas_df = csv_local_data_set.load() + + assert pandas_df[pandas_df["name"] == "Alex"]["age"][0] == 31 + + +def test_str_representation(): + with tempfile.NamedTemporaryFile() as temp_data_file: + spark_data_set = SparkDataSet( + filepath=temp_data_file.name, file_format="csv", load_args={"header": True} + ) + assert "SparkDataSet" in str(spark_data_set) + assert "filepath={}".format(temp_data_file.name) in str(spark_data_set) + + +def test_save_overwrite(): + # This test is split into two sections. + # Firstly, it writes a data frame twice and expects it to fail. + # Secondly, it writes a data frame with overwrite mode. + + with pytest.raises(DataSetError): + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = join(temp_dir, "test_data") + spark_data_set = SparkDataSet(filepath=temp_path) + + spark_df = _get_sample_spark_data_frame() + spark_data_set.save(spark_df) + spark_data_set.save(spark_df) + + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = join(temp_dir, "test_data") + spark_data_set = SparkDataSet( + filepath=temp_path, save_args={"mode": "overwrite"} + ) + + spark_df = _get_sample_spark_data_frame() + spark_data_set.save(spark_df) + spark_data_set.save(spark_df) + + +def test_save_partition(): + # To verify partitioning this test with partition data + # and checked whether paritioned column is added to the + # path + + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = join(temp_dir, "test_data") + spark_data_set = SparkDataSet( + filepath=temp_path, save_args={"mode": "overwrite", "partitionBy": ["name"]} + ) + + spark_df = _get_sample_spark_data_frame() + spark_data_set.save(spark_df) + + expected_path = join(temp_path, "name=Alex") + + assert exists(expected_path) + + +@pytest.mark.parametrize("file_format", ["csv", "parquet"]) +def test_exists(file_format): + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = join(temp_dir, "test_data") + spark_data_set = SparkDataSet(filepath=temp_path, file_format=file_format) + spark_df = _get_sample_spark_data_frame().coalesce(1) + + assert not spark_data_set.exists() + + spark_data_set.save(spark_df) + assert spark_data_set.exists() + + +def test_exists_raises_error(monkeypatch): + # exists should raise all errors except for + # AnalysisExceptions clearly indicating a missing file + def faulty_get_spark(): + raise AnalysisException("Other Exception", []) + + spark_data_set = SparkDataSet(filepath="") + monkeypatch.setattr(spark_data_set, "_get_spark", faulty_get_spark) + + with pytest.raises(DataSetError) as error: + spark_data_set.exists() + assert "Other Exception" in str(error.value) + + +def test_cant_pickle(): + import pickle + + with pytest.raises(pickle.PicklingError): + pickle.dumps(SparkDataSet("bob")) diff --git a/tests/contrib/io/pyspark/test_spark_jdbc.py b/tests/contrib/io/pyspark/test_spark_jdbc.py new file mode 100644 index 0000000000..7acd998477 --- /dev/null +++ b/tests/contrib/io/pyspark/test_spark_jdbc.py @@ -0,0 +1,141 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest import mock + +import pytest + +from kedro.contrib.io.pyspark import SparkJDBCDataSet +from kedro.io import DataSetError + + +@pytest.fixture +def spark_jdbc_args(): + return {"url": "dummy_url", "table": "dummy_table"} + + +@pytest.fixture +def spark_jdbc_args_credentials(spark_jdbc_args): + args = spark_jdbc_args + args.update({"credentials": {"user": "dummy_user", "password": "dummy_pw"}}) + return args + + +@pytest.fixture +def spark_jdbc_args_save_load(spark_jdbc_args): + args = spark_jdbc_args + connection_properties = {"properties": {"driver": "dummy_driver"}} + args.update( + {"save_args": connection_properties, "load_args": connection_properties} + ) + return args + + +def test_missing_url(): + error_message = ( + "`url` argument cannot be empty. Please provide a JDBC" + " URL of the form ``jdbc:subprotocol:subname``." + ) + with pytest.raises(DataSetError, match=error_message): + SparkJDBCDataSet(url=None, table="dummy_table") + + +def test_missing_table(): + error_message = ( + "`table` argument cannot be empty. Please provide" + " the name of the table to load or save data to." + ) + with pytest.raises(DataSetError, match=error_message): + SparkJDBCDataSet(url="dummy_url", table=None) + + +def mock_save(arg_dict): + mock_data = mock.Mock() + data_set = SparkJDBCDataSet(**arg_dict) + data_set.save(mock_data) + return mock_data + + +def test_save(spark_jdbc_args): + data = mock_save(spark_jdbc_args) + data.write.jdbc.assert_called_with("dummy_url", "dummy_table") + + +def test_save_credentials(spark_jdbc_args_credentials): + data = mock_save(spark_jdbc_args_credentials) + data.write.jdbc.assert_called_with( + "dummy_url", + "dummy_table", + properties={"user": "dummy_user", "password": "dummy_pw"}, + ) + + +def test_save_args(spark_jdbc_args_save_load): + data = mock_save(spark_jdbc_args_save_load) + data.write.jdbc.assert_called_with( + "dummy_url", "dummy_table", properties={"driver": "dummy_driver"} + ) + + +@mock.patch("kedro.contrib.io.pyspark.spark_jdbc.SparkSession.builder.getOrCreate") +def mock_load(mock_get_or_create, arg_dict): + spark = mock_get_or_create.return_value + data_set = SparkJDBCDataSet(**arg_dict) + data_set.load() + return spark + + +def test_load(spark_jdbc_args): + # pylint: disable=no-value-for-parameter + spark = mock_load(arg_dict=spark_jdbc_args) + spark.read.jdbc.assert_called_with("dummy_url", "dummy_table") + + +def test_load_credentials(spark_jdbc_args_credentials): + # pylint: disable=no-value-for-parameter + spark = mock_load(arg_dict=spark_jdbc_args_credentials) + spark.read.jdbc.assert_called_with( + "dummy_url", + "dummy_table", + properties={"user": "dummy_user", "password": "dummy_pw"}, + ) + + +def test_load_args(spark_jdbc_args_save_load): + # pylint: disable=no-value-for-parameter + spark = mock_load(arg_dict=spark_jdbc_args_save_load) + spark.read.jdbc.assert_called_with( + "dummy_url", "dummy_table", properties={"driver": "dummy_driver"} + ) + + +def test_cant_pickle(): + import pickle + + with pytest.raises(pickle.PicklingError): + pickle.dumps(SparkJDBCDataSet("bob", "test")) diff --git a/tests/io/__init__.py b/tests/io/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/io/conftest.py b/tests/io/conftest.py new file mode 100644 index 0000000000..772a93ee7a --- /dev/null +++ b/tests/io/conftest.py @@ -0,0 +1,70 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This file contains the fixtures that are reusable by any tests within +this directory. You don’t need to import the fixtures as pytest will +discover them automatically. More info here: +https://docs.pytest.org/en/latest/fixture.html +""" + +import pandas as pd +from pytest import fixture +from s3fs import S3FileSystem + +from kedro.io.core import generate_current_version + + +@fixture(params=[None]) +def filepath(tmp_path, request): + return request.param or str(tmp_path / "some" / "dir" / "test.csv") + + +@fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + +@fixture(params=[None]) +def load_version(request): + return request.param + + +@fixture(params=[None]) +def save_version(request): + return request.param or generate_current_version() + + +# pylint: disable=protected-access +@fixture(autouse=True) +def s3fs_cleanup(): + # s3fs caches some connection details globally, which should be + # cleared so we get a clean slate every time we instantiate a S3FileSystem + yield + S3FileSystem._conn = {} + S3FileSystem._singleton = [None] diff --git a/tests/io/test_csv_local.py b/tests/io/test_csv_local.py new file mode 100644 index 0000000000..b0a8dd7d0d --- /dev/null +++ b/tests/io/test_csv_local.py @@ -0,0 +1,143 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from pathlib import Path + +import pytest +from pandas.util.testing import assert_frame_equal + +from kedro.io import CSVLocalDataSet, DataSetError +from kedro.io.core import Version + + +@pytest.fixture(params=[{"sep": ","}]) +def csv_data_set(filepath, request): + return CSVLocalDataSet(filepath=filepath, save_args=request.param) + + +@pytest.fixture +def versioned_csv_data_set(filepath, load_version, save_version): + return CSVLocalDataSet( + filepath=filepath, + save_args={"sep": ","}, + version=Version(load_version, save_version), + ) + + +class TestCSVLocalDataSet: + def test_save_and_load(self, csv_data_set, dummy_dataframe): + """Test that saved and reloaded data matches the original one.""" + csv_data_set.save(dummy_dataframe) + reloaded_df = csv_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + @pytest.mark.parametrize("csv_data_set", [{"index": False}], indirect=True) + def test_load_missing_file(self, csv_data_set): + """Check the error while trying to load from missing source.""" + pattern = r"Failed while loading data from data set CSVLocalDataSet" + with pytest.raises(DataSetError, match=pattern): + csv_data_set.load() + + def test_exists(self, csv_data_set, dummy_dataframe): + """Test `exists` method invocation for both cases.""" + assert not csv_data_set.exists() + csv_data_set.save(dummy_dataframe) + assert csv_data_set.exists() + + +class TestCSVLocalDataSetVersioned: + def test_save_and_load( + self, versioned_csv_data_set, dummy_dataframe, filepath, save_version + ): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_csv_data_set.save(dummy_dataframe) + path = Path(filepath) + assert (path / save_version / path.name).is_file() + reloaded_df = versioned_csv_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_no_versions(self, versioned_csv_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for CSVLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_csv_data_set.load() + + def test_exists(self, versioned_csv_data_set, dummy_dataframe): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_csv_data_set.exists() + + versioned_csv_data_set.save(dummy_dataframe) + assert versioned_csv_data_set.exists() + + def test_prevent_override(self, versioned_csv_data_set, dummy_dataframe): + """Check the error when attempt to override the same data set + version.""" + versioned_csv_data_set.save(dummy_dataframe) + pattern = ( + r"Save path \`.+\` for CSVLocalDataSet\(.+\) must not " + r"exist if versioning is enabled" + ) + with pytest.raises(DataSetError, match=pattern): + versioned_csv_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_csv_data_set, load_version, save_version, dummy_dataframe + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.csv` did not match load path " + r"`.*/{}/test\.csv` for CSVLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_csv_data_set.save(dummy_dataframe) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.csv" + ds = CSVLocalDataSet(filepath=filepath) + ds_versioned = CSVLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_csv_s3.py b/tests/io/test_csv_s3.py new file mode 100644 index 0000000000..123df0f031 --- /dev/null +++ b/tests/io/test_csv_s3.py @@ -0,0 +1,298 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=protected-access,no-member + +from multiprocessing.reduction import ForkingPickler + +import pandas as pd +import pytest +import s3fs +from botocore.exceptions import PartialCredentialsError +from moto import mock_s3 +from pandas.util.testing import assert_frame_equal + +from kedro.io import CSVS3DataSet, DataSetError +from kedro.io.core import Version + +FILENAME = "test.csv" +BUCKET_NAME = "test_bucket" +AWS_CREDENTIALS = dict( + aws_access_key_id="FAKE_ACCESS_KEY", aws_secret_access_key="FAKE_SECRET_KEY" +) + + +@pytest.fixture(params=[None]) +def load_args(request): + return request.param + + +@pytest.fixture(params=[None]) +def save_args(request): + return request.param + + +@pytest.fixture +def mocked_s3_bucket(): + """Create a bucket for testing using moto.""" + with mock_s3(): + conn = s3fs.core.boto3.client("s3", **AWS_CREDENTIALS) + conn.create_bucket(Bucket=BUCKET_NAME) + yield conn + + +@pytest.fixture +def mocked_s3_object(mocked_s3_bucket, dummy_dataframe): + """Creates test data and adds it to mocked S3 bucket.""" + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, Key=FILENAME, Body=dummy_dataframe.to_csv(index=False) + ) + return mocked_s3_bucket + + +@pytest.fixture +def s3_data_set(load_args, save_args): + return CSVS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials=AWS_CREDENTIALS, + load_args=load_args, + save_args=save_args, + ) + + +@pytest.fixture +def versioned_s3_data_set(load_args, save_args, load_version, save_version): + return CSVS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials=AWS_CREDENTIALS, + load_args=load_args, + save_args=save_args, + version=Version(load_version, save_version), + ) + + +@pytest.fixture +def mocked_s3_object_versioned(mocked_s3_bucket, dummy_dataframe, save_version): + """Create versioned test data and add it to mocked S3 bucket.""" + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, + Key="{0}/{1}/{0}".format(FILENAME, save_version), + Body=dummy_dataframe.to_csv(index=False), + ) + return mocked_s3_bucket + + +class TestCSVS3DataSet: + @pytest.mark.parametrize( + "bad_credentials", + [{"aws_secret_access_key": "SECRET"}, {"aws_access_key_id": "KEY"}], + ) + def test_incomplete_credentials_load(self, bad_credentials): + """Test that incomplete credentials passed in credentials.yml raises exception.""" + with pytest.raises(PartialCredentialsError): + CSVS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=bad_credentials + ) + + def test_incorrect_credentials_load(self): + """Test that incorrect credential keys won't instantiate dataset.""" + pattern = "unexpected keyword argument" + with pytest.raises(TypeError, match=pattern): + CSVS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials={"access_token": "TOKEN", "access_key": "KEY"}, + ) + + @pytest.mark.parametrize( + "bad_credentials", + [{"aws_access_key_id": None, "aws_secret_access_key": None}, {}, None], + ) + def test_empty_credentials_load(self, bad_credentials): + s3_data_set = CSVS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=bad_credentials + ) + pattern = r"Failed while loading data from data set CSVS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + s3_data_set.load() + + def test_pass_credentials(self, mocker): + """Test that AWS credentials are passed successfully into boto3 + client instantiation on creating S3 connection.""" + mocker.patch("s3fs.core.boto3.Session.client") + s3_data_set = CSVS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=AWS_CREDENTIALS + ) + pattern = r"Failed while loading data from data set CSVS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + s3_data_set.load() + + assert s3fs.core.boto3.Session.client.call_count == 1 + args, kwargs = s3fs.core.boto3.Session.client.call_args_list[0] + assert args == ("s3",) + for k, v in AWS_CREDENTIALS.items(): + assert kwargs[k] == v + + @pytest.mark.usefixtures("mocked_s3_object") + def test_load_data(self, s3_data_set, dummy_dataframe): + """Test loading the data from S3.""" + loaded_data = s3_data_set.load() + assert_frame_equal(loaded_data, dummy_dataframe) + + @pytest.mark.usefixtures("mocked_s3_object") + def test_save_data(self, s3_data_set): + """Test saving the data to S3.""" + new_data = pd.DataFrame( + {"col1": ["a", "b"], "col2": ["c", "d"], "col3": ["e", "f"]} + ) + s3_data_set.save(new_data) + loaded_data = s3_data_set.load() + assert_frame_equal(loaded_data, new_data) + + @pytest.mark.usefixtures("mocked_s3_bucket") + def test_exists(self, s3_data_set, dummy_dataframe): + """Test `exists` method invocation for both existing and + nonexistent data set.""" + assert not s3_data_set.exists() + s3_data_set.save(dummy_dataframe) + assert s3_data_set.exists() + + @mock_s3 + def test_exists_raises_error(self, s3_data_set): + """Check the error if the given S3 bucket doesn't exist.""" + with pytest.raises(DataSetError, match="NoSuchBucket"): + s3_data_set.exists() + + def test_load_save_args(self, s3_data_set): + """Test default load and save arguments of the data set.""" + assert not s3_data_set._load_args + assert "index" in s3_data_set._save_args + + @pytest.mark.parametrize( + "load_args", [{"k1": "v1", "index": "value"}], indirect=True + ) + def test_load_extra_params(self, s3_data_set, load_args): + """Test overriding the default load arguments.""" + for key, value in load_args.items(): + assert s3_data_set._load_args[key] == value + + @pytest.mark.parametrize( + "save_args", [{"k1": "v1", "index": "value"}], indirect=True + ) + def test_save_extra_params(self, s3_data_set, save_args): + """Test overriding the default save arguments.""" + for key, value in save_args.items(): + assert s3_data_set._save_args[key] == value + + @pytest.mark.parametrize("save_args", [{"option": "value"}], indirect=True) + def test_str_representation(self, s3_data_set, save_args): + """Test string representation of the data set instance.""" + str_repr = str(s3_data_set) + assert "CSVS3DataSet" in str_repr + for k in save_args.keys(): + assert k in str_repr + for secret in AWS_CREDENTIALS.values(): + assert secret not in str_repr + + def test_serializable(self, s3_data_set): + ForkingPickler.dumps(s3_data_set) + + +@pytest.mark.usefixtures("mocked_s3_bucket") +class TestCSVS3DataSetVersioned: + def test_save_and_load(self, versioned_s3_data_set, dummy_dataframe): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_s3_data_set.save(dummy_dataframe) + reloaded_df = versioned_s3_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_no_versions(self, versioned_s3_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for CSVS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_s3_data_set.load() + + def test_exists(self, versioned_s3_data_set, dummy_dataframe): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_s3_data_set.exists() + + versioned_s3_data_set.save(dummy_dataframe) + assert versioned_s3_data_set.exists() + + @pytest.mark.usefixtures("mocked_s3_object_versioned") + def test_prevent_override(self, versioned_s3_data_set, dummy_dataframe): + """Check the error when attempting to override the data set if the + corresponding csv file for a given save version already exists in S3. + """ + pattern = ( + r"Save path \`.+\` for CSVS3DataSet\(.+\) must not exist " + r"if versioning is enabled" + ) + with pytest.raises(DataSetError, match=pattern): + versioned_s3_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_s3_data_set, load_version, save_version, dummy_dataframe + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `{f}/{sv}/{f}` did not match load path " + r"`{f}/{lv}/{f}` for CSVS3DataSet\(.+\)".format( + f=FILENAME, sv=save_version, lv=load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_s3_data_set.save(dummy_dataframe) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + ds = CSVS3DataSet(filepath=FILENAME, bucket_name=BUCKET_NAME) + ds_versioned = CSVS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + version=Version(load_version, save_version), + ) + assert FILENAME in str(ds) + assert "version" not in str(ds) + + assert FILENAME in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_data_catalog.py b/tests/io/test_data_catalog.py new file mode 100644 index 0000000000..1302738686 --- /dev/null +++ b/tests/io/test_data_catalog.py @@ -0,0 +1,339 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from pathlib import Path +from typing import Any + +import pytest +from pandas.util.testing import assert_frame_equal + +from kedro.io import ( + AbstractDataSet, + CSVLocalDataSet, + DataCatalog, + DataSetAlreadyExistsError, + DataSetError, + DataSetNotFoundError, + LambdaDataSet, + MemoryDataSet, + ParquetLocalDataSet, +) +from kedro.io.core import generate_current_version + + +@pytest.fixture +def sane_config(filepath): + return { + "catalog": { + "boats": {"type": "CSVLocalDataSet", "filepath": filepath}, + "cars": { + "type": "CSVS3DataSet", + "filepath": "test_file.csv", + "bucket_name": "test_bucket", + "credentials": "s3_credentials", + }, + }, + "credentials": { + "s3_credentials": { + "aws_access_key_id": "FAKE_ACCESS_KEY", + "aws_secret_access_key": "FAKE_SECRET_KEY", + } + }, + } + + +@pytest.fixture +def data_set(filepath): + return CSVLocalDataSet(filepath=filepath, save_args={"index": False}) + + +@pytest.fixture +def multi_catalog(): + csv = CSVLocalDataSet(filepath="abc.csv") + parq = ParquetLocalDataSet(filepath="xyz.parq") + return DataCatalog({"abc": csv, "xyz": parq}) + + +@pytest.fixture +def memory_catalog(): + ds1 = MemoryDataSet({"data": 42}) + ds2 = MemoryDataSet([1, 2, 3, 4, 5]) + return DataCatalog({"ds1": ds1, "ds2": ds2}) + + +@pytest.fixture +def conflicting_feed_dict(): + ds1 = MemoryDataSet({"data": 0}) + return {"ds1": ds1, "ds3": 1} + + +class BadDataSet(AbstractDataSet): # pragma: no cover + def __init__(self, filepath): + self.filepath = filepath + raise Exception("Naughty!") + + def _load(self): + return None + + def _save(self, data: Any): + pass + + def _describe(self): + return {} + + +@pytest.fixture +def bad_config(filepath): + return { + "bad": {"type": "tests.io.test_data_catalog.BadDataSet", "filepath": filepath} + } + + +@pytest.fixture +def data_catalog(data_set): + return DataCatalog(data_sets={"test": data_set}) + + +@pytest.fixture +def data_catalog_from_config(sane_config): + return DataCatalog.from_config(**sane_config) + + +class TestDataCatalog: + def test_save_and_load(self, data_catalog, dummy_dataframe): + """Test saving and reloading the data set""" + data_catalog.save("test", dummy_dataframe) + reloaded_df = data_catalog.load("test") + + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_add_save_and_load(self, data_set, dummy_dataframe): + """Test adding and then saving and reloading the data set""" + catalog = DataCatalog(data_sets={}) + catalog.add("test", data_set) + catalog.save("test", dummy_dataframe) + reloaded_df = catalog.load("test") + + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_add_all_save_and_load(self, data_set, dummy_dataframe): + """Test adding all to the data catalog and then saving and reloading + the data set""" + catalog = DataCatalog(data_sets={}) + catalog.add_all({"test": data_set}) + catalog.save("test", dummy_dataframe) + reloaded_df = catalog.load("test") + + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_load_error(self, data_catalog): + """Check the error when attempting to load a data set + from nonexistent source""" + pattern = r"Failed while loading data from data set CSVLocalDataSet" + with pytest.raises(DataSetError, match=pattern): + data_catalog.load("test") + + def test_add_data_set_twice(self, data_catalog, data_set): + """Check the error when attempting to add the data set twice""" + pattern = r"DataSet 'test' has already been registered" + with pytest.raises(DataSetAlreadyExistsError, match=pattern): + data_catalog.add("test", data_set) + + def test_load_from_unregistered(self): + """Check the error when attempting to load unregistered data set""" + catalog = DataCatalog(data_sets={}) + pattern = r"DataSet 'test' not found in the catalog" + with pytest.raises(DataSetNotFoundError, match=pattern): + catalog.load("test") + + def test_save_to_unregistered(self, dummy_dataframe): + """Check the error when attempting to save to unregistered data set""" + catalog = DataCatalog(data_sets={}) + pattern = r"DataSet 'test' not found in the catalog" + with pytest.raises(DataSetNotFoundError, match=pattern): + catalog.save("test", dummy_dataframe) + + def test_feed_dict(self, memory_catalog, conflicting_feed_dict): + """Test feed dict overriding some of the data sets""" + memory_catalog.add_feed_dict(conflicting_feed_dict, replace=True) + assert "data" in memory_catalog.load("ds1") + assert memory_catalog.load("ds1")["data"] == 0 + assert isinstance(memory_catalog.load("ds2"), list) + assert memory_catalog.load("ds3") == 1 + + def test_exists(self, data_catalog, dummy_dataframe): + """Test `exists` method invocation""" + assert not data_catalog.exists("test") + data_catalog.save("test", dummy_dataframe) + assert data_catalog.exists("test") + + def test_exists_not_implemented(self, caplog): + """Test calling `exists` on the data set, which didn't implement it""" + catalog = DataCatalog(data_sets={"test": LambdaDataSet(None, None)}) + result = catalog.exists("test") + + log_record = caplog.records[0] + assert log_record.levelname == "WARNING" + assert ( + "`exists()` not implemented for `test`. " + "Assuming output does not exist." in log_record.message + ) + assert result is False + + def test_exists_error(self, data_catalog): + """Check the the error when calling `exists` + on unregistered data set""" + pattern = r"DataSet \'wrong_key\' not found in the catalog" + with pytest.raises(DataSetError, match=pattern): + data_catalog.exists("wrong_key") + + def test_multi_catalog_list(self, multi_catalog): + """Test data catalog which contains multiple data sets""" + entries = multi_catalog.list() + assert "abc" in entries + assert "xyz" in entries + + def test_eq(self, multi_catalog, data_catalog): + assert multi_catalog == multi_catalog # pylint: disable=comparison-with-itself + assert multi_catalog == multi_catalog.shallow_copy() + assert multi_catalog != data_catalog + + +class TestDataCatalogFromConfig: + def test_from_sane_config(self, data_catalog_from_config, dummy_dataframe): + """Test populating the data catalog from config""" + data_catalog_from_config.save("boats", dummy_dataframe) + reloaded_df = data_catalog_from_config.load("boats") + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_config_missing_type(self, sane_config): + """Check the error if type attribute is missing for some data set(s) + in the config""" + del sane_config["catalog"]["boats"]["type"] + pattern = r"`type` is missing from DataSet \'boats\' " r"catalog configuration" + with pytest.raises(DataSetError, match=pattern): + DataCatalog.from_config(**sane_config) + + def test_config_invalid_module(self, sane_config): + """Check the error if the type points to nonexistent module""" + sane_config["catalog"]["boats"][ + "type" + ] = "kedro.invalid_module_name.io.CSVLocalDataSet" + with pytest.raises(DataSetError, match=r"Cannot import module"): + DataCatalog.from_config(**sane_config) + + def test_config_missing_class(self, sane_config): + """Check the error if the type points to nonexistent class""" + sane_config["catalog"]["boats"]["type"] = "kedro.io.CSVLocalDataSetInvalid" + pattern = ( + r"Class `kedro.io.CSVLocalDataSetInvalid` for DataSet `boats` not found." + ) + with pytest.raises(DataSetError, match=pattern): + DataCatalog.from_config(**sane_config) + + def test_config_invalid_data_set(self, sane_config): + """Check the error if the type points to invalid class""" + sane_config["catalog"]["boats"]["type"] = "DataCatalog" + pattern = ( + r"DataSet 'boats' type `.*DataCatalog` is invalid: all " + r"data set types must extend `AbstractDataSet`" + ) + with pytest.raises(DataSetError, match=pattern): + DataCatalog.from_config(**sane_config) + + def test_config_invalid_arguments(self, sane_config): + """Check the error if the data set config contains invalid arguments""" + sane_config["catalog"]["boats"]["save_and_load_args"] = False + pattern = ( + r"DataSet 'boats' must only contain arguments valid for " + r"the constructor of `.*CSVLocalDataSet`" + ) + with pytest.raises(DataSetError, match=pattern): + DataCatalog.from_config(**sane_config) + + def test_empty_config(self): + """Test empty config""" + assert DataCatalog.from_config(None) + + def test_missing_credentials(self, sane_config): + """Check the error if credentials can't be located""" + sane_config["catalog"]["cars"]["credentials"] = "missing" + with pytest.raises(KeyError, match=r"Unable to find credentials"): + DataCatalog.from_config(**sane_config) + + # pylint: disable=protected-access + def test_link_credentials(self, data_catalog_from_config, sane_config): + """Test credentials being linked to the relevant data set""" + assert ( + data_catalog_from_config._data_sets["cars"]._credentials[ + "aws_access_key_id" + ] + == sane_config["credentials"]["s3_credentials"]["aws_access_key_id"] + ) + + def test_idempotent_catalog(self, sane_config): + """Test that data catalog instantiations are idempotent""" + _ = DataCatalog.from_config(**sane_config) # NOQA + catalog = DataCatalog.from_config(**sane_config) + assert catalog + + def test_error_dataset_init(self, bad_config): + """Check the error when trying to instantiate erroneous data set""" + pattern = r"Failed to instantiate DataSet \'bad\' " r"of type `.*BadDataSet`" + with pytest.raises(DataSetError, match=pattern): + DataCatalog.from_config(bad_config, None) + + +class TestDataCatalogVersioned: + def test_from_sane_config_versioned(self, sane_config, dummy_dataframe): + """Test load and save of versioned data sets from config""" + sane_config["catalog"]["boats"]["versioned"] = True + version = generate_current_version() + catalog = DataCatalog.from_config( + **sane_config, load_versions={"boats": version}, save_version=version + ) + catalog.save("boats", dummy_dataframe) + path = Path(sane_config["catalog"]["boats"]["filepath"]) + path = path / version / path.name + assert path.is_file() + reloaded_df = catalog.load("boats") + assert_frame_equal(reloaded_df, dummy_dataframe) + + @pytest.mark.parametrize("versioned", [True, False]) + def test_from_sane_config_versioned_warn(self, caplog, sane_config, versioned): + """Check the warning if `version` attribute was added + to the data set config""" + sane_config["catalog"]["boats"]["versioned"] = versioned + sane_config["catalog"]["boats"]["version"] = True + DataCatalog.from_config(**sane_config) + log_record = caplog.records[0] + assert log_record.levelname == "WARNING" + assert ( + "`version` attribute removed from `boats` data set " + "configuration since it is a reserved word and cannot be " + "directly specified" in log_record.message + ) diff --git a/tests/io/test_excel_local.py b/tests/io/test_excel_local.py new file mode 100644 index 0000000000..bd3221ed6f --- /dev/null +++ b/tests/io/test_excel_local.py @@ -0,0 +1,150 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest +from pandas.util.testing import assert_frame_equal + +from kedro.io import DataSetError, ExcelLocalDataSet +from kedro.io.core import Version + + +@pytest.fixture +def filepath_xls(tmp_path): + return str(tmp_path / "test.xlsx") + + +@pytest.fixture(params=[dict()]) +def xls_data_set(filepath_xls, request): + return ExcelLocalDataSet(filepath=filepath_xls, **request.param) + + +@pytest.fixture +def versioned_xls_data_set(filepath_xls, load_version, save_version): + return ExcelLocalDataSet( + filepath=filepath_xls, version=Version(load_version, save_version) + ) + + +class TestExcelLocalDataSet: + @pytest.mark.parametrize( + "xls_data_set", + [dict(load_args={"sheet_name": "Sheet1"}, save_args={"na_rep": "N/A"})], + indirect=True, + ) + def test_save_and_load(self, xls_data_set, dummy_dataframe): + """Test saving and reloading the data set.""" + xls_data_set.save(dummy_dataframe) + reloaded_df = xls_data_set.load() + + assert dummy_dataframe.equals(reloaded_df) + + @pytest.mark.parametrize( + "xls_data_set", [dict(load_args={"sheet_name": "Sheet1"})], indirect=True + ) + def test_load_missing_xls_file(self, xls_data_set): + """Check the error raised when trying to load nonexistent xlsx file.""" + pattern = r"Failed while loading data from data set ExcelLocalDataSet" + with pytest.raises(DataSetError, match=pattern): + xls_data_set.load() + + def test_exists(self, xls_data_set, dummy_dataframe): + """Test `exists` method invocation.""" + assert not xls_data_set.exists() + + xls_data_set.save(dummy_dataframe) + assert xls_data_set.exists() + + +class TestExcelLocalDataSetVersioned: + def test_save_and_load(self, versioned_xls_data_set, dummy_dataframe): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_xls_data_set.save(dummy_dataframe) + reloaded_df = versioned_xls_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_no_versions(self, versioned_xls_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for ExcelLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_xls_data_set.load() + + def test_exists(self, versioned_xls_data_set, dummy_dataframe): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_xls_data_set.exists() + + versioned_xls_data_set.save(dummy_dataframe) + assert versioned_xls_data_set.exists() + + def test_prevent_override(self, versioned_xls_data_set, dummy_dataframe): + """Check the error when attempting to override the data set if the + corresponding xls file for a given save version already exists.""" + versioned_xls_data_set.save(dummy_dataframe) + pattern = ( + r"Save path \`.+\` for ExcelLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_xls_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_xls_data_set, load_version, save_version, dummy_dataframe + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.xlsx` did not match load path " + r"`.*/{}/test\.xlsx` for ExcelLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_xls_data_set.save(dummy_dataframe) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.xlsx" + ds = ExcelLocalDataSet(filepath=filepath) + ds_versioned = ExcelLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_hdf_local.py b/tests/io/test_hdf_local.py new file mode 100644 index 0000000000..2538761ce4 --- /dev/null +++ b/tests/io/test_hdf_local.py @@ -0,0 +1,162 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest +from pandas.util.testing import assert_frame_equal + +from kedro.io import DataSetError, HDFLocalDataSet +from kedro.io.core import Version + + +@pytest.fixture +def filepath_hdf(tmp_path): + return str(tmp_path / "test.hdf") + + +@pytest.fixture +def hdf_data_set(filepath_hdf): + return HDFLocalDataSet(filepath=filepath_hdf, key="test_hdf") + + +@pytest.fixture +def versioned_hdf_data_set(filepath_hdf, load_version, save_version): + return HDFLocalDataSet( + filepath=filepath_hdf, + key="test_hdf", + version=Version(load_version, save_version), + ) + + +class TestHDFLocalDataSet: + def test_save_and_load(self, hdf_data_set, dummy_dataframe): + """Test saving and reloading the data set.""" + hdf_data_set.save(dummy_dataframe) + reloaded_df = hdf_data_set.load() + + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_load_missing(self, hdf_data_set): + """Check the error when trying to load missing hdf file.""" + pattern = r"Failed while loading data from data set HDFLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + hdf_data_set.load() + + def test_exists(self, hdf_data_set, filepath_hdf, dummy_dataframe): + """Test `exists` method invocation.""" + # file does not exist + assert not hdf_data_set.exists() + + # file and key exist + hdf_data_set.save(dummy_dataframe) + assert hdf_data_set.exists() + + # file exists but the key does not + data_set2 = HDFLocalDataSet(filepath=filepath_hdf, key="test_hdf_different_key") + assert not data_set2.exists() + + def test_overwrite_if_exists(self, hdf_data_set, dummy_dataframe): + """Test overriding existing hdf file.""" + hdf_data_set.save(dummy_dataframe) + assert hdf_data_set.exists() + + hdf_data_set.save(dummy_dataframe.T) + reloaded_df = hdf_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe.T) + + +class TestHDFLocalDataSetVersioned: + def test_save_and_load(self, versioned_hdf_data_set, dummy_dataframe): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_hdf_data_set.save(dummy_dataframe) + reloaded_df = versioned_hdf_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_no_versions(self, versioned_hdf_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for HDFLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_hdf_data_set.load() + + def test_exists(self, versioned_hdf_data_set, dummy_dataframe): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_hdf_data_set.exists() + + versioned_hdf_data_set.save(dummy_dataframe) + assert versioned_hdf_data_set.exists() + + def test_prevent_overwrite(self, versioned_hdf_data_set, dummy_dataframe): + """Check the error when attempting to override the data set if the + corresponding hdf file for a given save version already exists.""" + versioned_hdf_data_set.save(dummy_dataframe) + pattern = ( + r"Save path \`.+\` for HDFLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_hdf_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_hdf_data_set, load_version, save_version, dummy_dataframe + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.hdf` did not match load path " + r"`.*/{}/test\.hdf` for HDFLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_hdf_data_set.save(dummy_dataframe) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.hdf" + ds = HDFLocalDataSet(filepath=filepath, key="test_hdf") + ds_versioned = HDFLocalDataSet( + filepath=filepath, + key="test_hdf", + version=Version(load_version, save_version), + ) + + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_json_local.py b/tests/io/test_json_local.py new file mode 100644 index 0000000000..aff9bd93c7 --- /dev/null +++ b/tests/io/test_json_local.py @@ -0,0 +1,210 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from decimal import Decimal +from json import JSONEncoder +from math import inf + +import pytest + +from kedro.io import DataSetError, JSONLocalDataSet +from kedro.io.core import Version + + +@pytest.fixture +def filepath_json(tmp_path): + return str(tmp_path / "test.json") + + +@pytest.fixture +def json_data_set(filepath_json): + return JSONLocalDataSet(filepath=filepath_json) + + +@pytest.fixture +def versioned_json_data_set(filepath_json, load_version, save_version): + return JSONLocalDataSet( + filepath=filepath_json, version=Version(load_version, save_version) + ) + + +@pytest.fixture(params=[[1, 2, 3]]) +def json_data(request): + return request.param + + +class DecimalEncoder(JSONEncoder): + def default(self, o): # pylint: disable=method-hidden + if isinstance(o, Decimal): + if o % 1 > 0: + return float(o) + return int(o) + return super(DecimalEncoder, self).default(o) # pragma: no cover + + +class TestJSONLocalDataSet: + @pytest.mark.parametrize( + "json_data", + [42, [1, 2, 3], ["1", "2", "3"], {"foo": 1, "bar": 2}], + indirect=True, + ) + def test_save_and_load(self, json_data_set, json_data): + """Test saving and reloading the data set.""" + json_data_set.save(json_data) + reloaded = json_data_set.load() + + assert json_data == reloaded + + def test_load_missing_file(self, json_data_set): + """Check the error when trying to load missing file.""" + pattern = r"Failed while loading data from data set " r"JSONLocalDataSet\(.*\)" + with pytest.raises(DataSetError, match=pattern): + json_data_set.load() + + def test_exists(self, json_data_set, json_data): + """Test `exists` method invocation.""" + assert not json_data_set.exists() + + json_data_set.save(json_data) + assert json_data_set.exists() + + def test_allow_nan(self, json_data_set, filepath_json): + """Strict JSON specification does not allow out of range float values, + however the python implementation accepts them by default. Test both + those cases.""" + + # default python + json_data_set.save([inf]) + assert json_data_set.load() == [inf] + + # strict JSON + json_data_set_strict = JSONLocalDataSet( + filepath=filepath_json, save_args=dict(allow_nan=False) + ) + pattern = "Out of range float values are not JSON compliant" + with pytest.raises(DataSetError, match=pattern): + json_data_set_strict.save([inf]) + + @pytest.mark.parametrize( + "json_data", + [ + { + "float": 1.23, + "dec_float": Decimal("1.23"), + "int": 123, + "dec_int": Decimal("123"), + } + ], + indirect=True, + ) + def test_custom_encoder(self, json_data_set, filepath_json, json_data): + """Test using a custom JSONEncoder when saving the data.""" + pattern = ( + r"Failed while saving data to data set " + r"JSONLocalDataSet\(.+\).*\n.*Decimal.* is not " + r"JSON serializable" + ) + with pytest.raises(DataSetError, match=pattern): + json_data_set.save(json_data) + + json_data_set_decimal_enc = JSONLocalDataSet( + filepath=filepath_json, save_args=dict(cls=DecimalEncoder) + ) + json_data_set_decimal_enc.save(json_data) + reloaded = json_data_set_decimal_enc.load() + assert reloaded["float"] == reloaded["dec_float"] + assert reloaded["int"] == reloaded["dec_int"] + + +class TestJSONLocalDataSetVersioned: + def test_save_and_load(self, versioned_json_data_set, json_data): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_json_data_set.save(json_data) + reloaded_df = versioned_json_data_set.load() + assert json_data == reloaded_df + + def test_no_versions(self, versioned_json_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for JSONLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_json_data_set.load() + + def test_exists(self, versioned_json_data_set, json_data): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_json_data_set.exists() + + versioned_json_data_set.save(json_data) + assert versioned_json_data_set.exists() + + def test_prevent_overwrite(self, versioned_json_data_set, json_data): + """Check the error when attempting to override the data set if the + corresponding hdf file for a given save version already exists.""" + versioned_json_data_set.save(json_data) + pattern = ( + r"Save path \`.+\` for JSONLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_json_data_set.save(json_data) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_json_data_set, load_version, save_version, json_data + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.json` did not match load path " + r"`.*/{}/test\.json` for JSONLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_json_data_set.save(json_data) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.json" + ds = JSONLocalDataSet(filepath=filepath) + ds_versioned = JSONLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_lambda_data_set.py b/tests/io/test_lambda_data_set.py new file mode 100644 index 0000000000..68548eb24b --- /dev/null +++ b/tests/io/test_lambda_data_set.py @@ -0,0 +1,165 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest + +from kedro.io import DataSetError, LambdaDataSet + + +@pytest.fixture +def mocked_save(mocker): + return mocker.Mock() + + +@pytest.fixture +def mocked_data_set(mocked_save): + return LambdaDataSet(None, mocked_save) + + +def test_data_set_describe(): + """Test `describe` method invocation""" + + def _dummy_load(): + pass # pragma: no cover + + def _dummy_save(): + pass # pragma: no cover + + def _dummy_exists(): + return False # pragma: no cover + + assert "LambdaDataSet(load=<tests.io.test_lambda_data_set._dummy_load>)" in str( + LambdaDataSet(_dummy_load, None) + ) + assert "LambdaDataSet(save=<tests.io.test_lambda_data_set._dummy_save>)" in str( + LambdaDataSet(None, _dummy_save) + ) + assert "LambdaDataSet(exists=<tests.io.test_lambda_data_set._dummy_exists>)" in str( + LambdaDataSet(None, None, _dummy_exists) + ) + + +class TestLambdaDataSetLoad: + def test_load_invocation(self, mocker): + """Test the basic `load` method invocation""" + mocked_load = mocker.Mock(return_value=42) + data_set = LambdaDataSet(mocked_load, None) + result = data_set.load() + + mocked_load.assert_called_once_with() + assert result == 42 + + def test_load_raises_error(self): + """Check the error if loading the LambdaDataSet raises an exception""" + error_message = "Internal load exception message" + + def internal_load(): + raise FileNotFoundError(error_message) + + data_set = LambdaDataSet(internal_load, None) + with pytest.raises(DataSetError, match=error_message): + data_set.load() + + def test_load_undefined(self): + """Check the error if `LambdaDataSet.__load` is None""" + with pytest.raises(DataSetError, match="Cannot load data set"): + LambdaDataSet(None, None).load() + + def test_load_not_callable(self): + pattern = ( + r"`load` function for LambdaDataSet must be a Callable\. " + r"Object of type `str` provided instead\." + ) + with pytest.raises(DataSetError, match=pattern): + LambdaDataSet("load", None) + + +class TestLambdaDataSetSave: + def test_save_invocation(self, mocked_save, mocked_data_set): + """Test the basic `save` method invocation""" + mocked_data_set.save("foo") + mocked_save.assert_called_once_with("foo") + + def test_save_raises_error(self, mocked_save, mocked_data_set): + """Check the error if saving the LambdaDataSet raises an exception""" + error_message = "Cannot save to an existing file" + mocked_save.side_effect = FileExistsError(error_message) + + pattern = ( + r"Failed while saving data to data set LambdaDataSet\(.+\)\.\n" + + error_message + ) + with pytest.raises(DataSetError, match=pattern): + mocked_data_set.save("data") + mocked_save.assert_called_once_with("data") + + def test_save_undefined(self): + """Check the error if `LambdaDataSet.__save` is None""" + with pytest.raises(DataSetError, match="Cannot save to data set"): + LambdaDataSet(None, None).save(42) + + def test_save_none(self, mocked_save, mocked_data_set): + """Check the error when passing None to `save` call""" + pattern = "Saving `None` to a `DataSet` is not allowed" + with pytest.raises(DataSetError, match=pattern): + mocked_data_set.save(None) + assert mocked_save.called == 0 + + def test_save_not_callable(self): + pattern = ( + r"`save` function for LambdaDataSet must be a Callable\. " + r"Object of type `str` provided instead\." + ) + with pytest.raises(DataSetError, match=pattern): + LambdaDataSet(None, "save") + + +class TestLambdaDataSetExists: + def test_exists_invocation(self, mocker): + """Test the basic `exists` method invocation""" + mocked_exists = mocker.Mock(return_value=True) + data_set = LambdaDataSet(None, None, mocked_exists) + result = data_set.exists() + mocked_exists.assert_called_once_with() + assert result is True + + def test_exists_not_implemented(self): + """Check that `exists` method is not implemented by default""" + data_set = LambdaDataSet(None, None) + assert not hasattr(data_set, "exists") + + def test_exists_raises_error(self, mocker): + """Check the error when `exists` raises an exception""" + mocked_exists = mocker.Mock() + error_message = "File not found" + mocked_exists.side_effect = FileNotFoundError(error_message) + data_set = LambdaDataSet(None, None, mocked_exists) + + with pytest.raises(DataSetError, match=error_message): + data_set.exists() + mocked_exists.assert_called_once_with() diff --git a/tests/io/test_memory_data_set.py b/tests/io/test_memory_data_set.py new file mode 100644 index 0000000000..c3ea6439b0 --- /dev/null +++ b/tests/io/test_memory_data_set.py @@ -0,0 +1,198 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-argument +import numpy as np +import pandas as pd +import pytest + +from kedro.io import DataSetError, MemoryDataSet + + +def _update_data(data, idx, jdx, value): + if isinstance(data, pd.DataFrame): + data.iloc[idx, jdx] = value + return data + if isinstance(data, np.ndarray): + data[idx, jdx] = value + return data + return data # pragma: no cover + + +def _check_equals(data1, data2): + if isinstance(data1, pd.DataFrame) and isinstance(data2, pd.DataFrame): + return data1.equals(data2) + if isinstance(data1, np.ndarray) and isinstance(data2, np.ndarray): + return np.array_equal(data1, data2) + return False # pragma: no cover + + +@pytest.fixture +def dummy_numpy_array(): + return np.array([[1, 4, 5], [2, 5, 6]]) + + +@pytest.fixture(params=["dummy_dataframe", "dummy_numpy_array"]) +def input_data(request): + return request.getfixturevalue(request.param) + + +@pytest.fixture +def new_data(): + return pd.DataFrame({"col1": ["a", "b"], "col2": ["c", "d"], "col3": ["e", "f"]}) + + +@pytest.fixture +def memory_data_set(input_data): + return MemoryDataSet(data=input_data) + + +@pytest.fixture +def max_loads(request): + return request.param + + +@pytest.fixture +def memory_data_set_loads(input_data, max_loads): + return MemoryDataSet(data=input_data, max_loads=max_loads) + + +class TestMemoryDataSet: + def test_load(self, memory_data_set, input_data): + """Test basic load""" + loaded_data = memory_data_set.load() + assert _check_equals(loaded_data, input_data) + + def test_save(self, memory_data_set, input_data, new_data): + """Test overriding the data set""" + memory_data_set.save(data=new_data) + reloaded = memory_data_set.load() + assert not _check_equals(reloaded, input_data) + assert _check_equals(reloaded, new_data) + + def test_load_modify_original_data(self, memory_data_set, input_data): + """Check that the data set object is not updated when the original + object is changed.""" + input_data = _update_data(input_data, 1, 1, -5) + assert not _check_equals(memory_data_set.load(), input_data) + + def test_save_modify_original_data(self, memory_data_set, new_data): + """Check that the data set object is not updated when the original + object is changed.""" + memory_data_set.save(new_data) + new_data = _update_data(new_data, 1, 1, "new value") + + assert not _check_equals(memory_data_set.load(), new_data) + + @pytest.mark.parametrize( + "input_data", ["dummy_dataframe", "dummy_numpy_array"], indirect=True + ) + def test_load_returns_new_object(self, memory_data_set, input_data): + """Test that consecutive loads point to different objects in case of a + pandas DataFrame and numpy array""" + loaded_data = memory_data_set.load() + reloaded_data = memory_data_set.load() + assert _check_equals(loaded_data, input_data) + assert _check_equals(reloaded_data, input_data) + assert loaded_data is not reloaded_data + + def test_create_without_data(self): + """Test instantiation without data""" + assert MemoryDataSet() is not None + + def test_loading_none(self): + """Check the error when attempting to load the data set that doesn't + contain any data""" + pattern = r"Data for MemoryDataSet has not been saved yet\." + with pytest.raises(DataSetError, match=pattern): + MemoryDataSet().load() + + def test_saving_none(self): + """Check the error when attempting to save the data set without + providing the data""" + pattern = r"Saving `None` to a `DataSet` is not allowed" + with pytest.raises(DataSetError, match=pattern): + MemoryDataSet().save(None) + + @pytest.mark.parametrize( + "input_data,expected", + [ + ("dummy_dataframe", "MemoryDataSet(data=<DataFrame>)"), + ("dummy_numpy_array", "MemoryDataSet(data=<ndarray>)"), + ], + indirect=["input_data"], + ) + def test_str_representation(self, memory_data_set, input_data, expected): + """Test string representation of the data set""" + assert expected in str(memory_data_set) + + def test_exists(self, new_data): + """Test `exists` method invocation""" + data_set = MemoryDataSet() + assert not data_set.exists() + + data_set.save(new_data) + assert data_set.exists() + + +class TestMemoryDataSetMaxLoads: + @pytest.mark.parametrize("max_loads", [None, -1, 0, 1, 2], indirect=True) + def test_max_loads(self, memory_data_set_loads, input_data, max_loads): + """Test that the first load succeeds regardless of the maximum number + of loads specified""" + loaded_data = memory_data_set_loads.load() + assert _check_equals(loaded_data, input_data) + + @pytest.mark.parametrize("max_loads", [1, 2], indirect=True) + def test_max_loads_exceeded(self, memory_data_set_loads, max_loads): + """Check the error when the maximum number of data set loads + is exceeded""" + pattern = ( + r"Maximum number of MemoryDataSet loads exceeded the " + r"threshold of {}\. The data set was cleared and holds " + r"no data now\.".format(max_loads) + ) + with pytest.raises(DataSetError, match=pattern): + for _ in range(max_loads + 1): + memory_data_set_loads.load() + + @pytest.mark.parametrize("max_loads", [1], indirect=True) + def test_max_loads_reset(self, memory_data_set_loads, input_data, max_loads): + """Test that the maximum number of loads is reset after + save operation""" + memory_data_set_loads.load() + pattern = ( + r"Maximum number of MemoryDataSet loads exceeded the " + r"threshold of 1\. The data set was cleared and holds " + r"no data now\." + ) + with pytest.raises(DataSetError, match=pattern): + memory_data_set_loads.load() + memory_data_set_loads.save(input_data) + loaded_data = memory_data_set_loads.load() + assert _check_equals(loaded_data, input_data) diff --git a/tests/io/test_parquet_local.py b/tests/io/test_parquet_local.py new file mode 100644 index 0000000000..408373b5bc --- /dev/null +++ b/tests/io/test_parquet_local.py @@ -0,0 +1,216 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from random import randint + +import numpy as np +import pandas as pd +import pytest +from pandas.util.testing import assert_frame_equal + +from kedro.io import DataSetError, ParquetLocalDataSet +from kedro.io.core import Version + + +def _generate_sample_pandas_df( + randomised: bool = False, with_nan: bool = False +) -> pd.DataFrame: + """ + Return a dummy data frame with 2-columns [Name, Age] + + Args: + randomised: Set to true to randomise ages. + with_nan: Include an entry with nan age value. + + Returns: + Dataframe as specified by the arguments. + + """ + + def age(default): + return randint(1, 120) if randomised else default + + return pd.DataFrame( + { + "Name": ["Alex", "Bob", "Clarke", "Dave"], + "Age": [age(31), age(12), age(65), np.nan if with_nan else age(29)], + } + ) + + +@pytest.fixture(params=[(False, False)]) +def input_data(request): + randomised, with_nan = request.param + return _generate_sample_pandas_df(randomised, with_nan) + + +@pytest.fixture +def data_path(tmp_path): + return str(tmp_path / "data") + + +@pytest.fixture(params=[dict()]) +def parquet_data_set(data_path, request): + return ParquetLocalDataSet(filepath=data_path, **request.param) + + +@pytest.fixture +def versioned_parquet_data_set(data_path, load_version, save_version): + return ParquetLocalDataSet( + filepath=data_path, version=Version(load_version, save_version) + ) + + +class TestParquetLocalDataSet: + _AGE_COLUMN = "Age" + + @pytest.mark.parametrize("input_data", [(False, False)], indirect=True) + def test_save(self, parquet_data_set, input_data): + """Test saving and overriding the data set.""" + parquet_data_set.save(input_data) + + # Check that it is loaded correctly + loaded_data = parquet_data_set.load() + assert_frame_equal(loaded_data, input_data) + + # Save on top of existing + new_data = _generate_sample_pandas_df(randomised=True) + parquet_data_set.save(new_data) + + # Assert data has been overwritten + reloaded_data = parquet_data_set.load() + assert_frame_equal(reloaded_data, new_data) + + @pytest.mark.parametrize("input_data", [(False, True)], indirect=True) + @pytest.mark.parametrize( + "parquet_data_set", [dict(load_args={"columns": [_AGE_COLUMN]})], indirect=True + ) + def test_load_with_args(self, parquet_data_set, input_data): + """Test loading the data set with extra load arguments specified.""" + parquet_data_set.save(input_data) + loaded_data = parquet_data_set.load() + assert_frame_equal(loaded_data, input_data[[self._AGE_COLUMN]]) + + @pytest.mark.parametrize( + "parquet_data_set", [dict(save_args={"compression": "GZIP"})], indirect=True + ) + def test_save_with_args(self, parquet_data_set, input_data): + """Test loading the data set with extra save arguments specified.""" + parquet_data_set.save(input_data) + loaded_data = parquet_data_set.load() + assert_frame_equal(loaded_data, input_data) + + def test_save_none(self, parquet_data_set): + """Check the error when trying to save None.""" + pattern = r"Saving `None` to a `DataSet` is not allowed" + with pytest.raises(DataSetError, match=pattern): + parquet_data_set.save(None) + + def test_str_representation(self): + """Test string representation of the data set instance.""" + parquet_data_set = ParquetLocalDataSet("test_file.parquet") + pattern = ( + "ParquetLocalDataSet(engine=auto, " + "filepath=test_file.parquet, save_args={})" + ) + assert pattern in str(parquet_data_set) + + def test_exists(self, parquet_data_set, input_data): + """Test `exists` method invocation.""" + assert not parquet_data_set.exists() + parquet_data_set.save(input_data) + assert parquet_data_set.exists() + + +class TestParquetLocalDataSetVersioned: + def test_save_and_load(self, versioned_parquet_data_set, input_data): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_parquet_data_set.save(input_data) + reloaded_df = versioned_parquet_data_set.load() + assert_frame_equal(reloaded_df, input_data) + + def test_no_versions(self, versioned_parquet_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for ParquetLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_parquet_data_set.load() + + def test_exists(self, versioned_parquet_data_set, input_data): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_parquet_data_set.exists() + + versioned_parquet_data_set.save(input_data) + assert versioned_parquet_data_set.exists() + + def test_prevent_overwrite(self, versioned_parquet_data_set, input_data): + """Check the error when attempting to override the data set if the + corresponding parquet file for a given save version already exists.""" + versioned_parquet_data_set.save(input_data) + pattern = ( + r"Save path \`.+\` for ParquetLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_parquet_data_set.save(input_data) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_parquet_data_set, load_version, save_version, input_data + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/data` did not match load path " + r"`.*/{}/data` for ParquetLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_parquet_data_set.save(input_data) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "data" + ds = ParquetLocalDataSet(filepath=filepath) + ds_versioned = ParquetLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_pickle_local.py b/tests/io/test_pickle_local.py new file mode 100644 index 0000000000..408a18e5af --- /dev/null +++ b/tests/io/test_pickle_local.py @@ -0,0 +1,168 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from importlib import reload + +import pytest +from pandas.util.testing import assert_frame_equal + +import kedro +from kedro.io import PickleLocalDataSet +from kedro.io.core import DataSetError, Version + + +@pytest.fixture +def filepath_pkl(tmp_path): + return str(tmp_path / "test.pkl") + + +@pytest.fixture(params=["pickle"]) +def pickle_data_set(filepath_pkl, request): + return PickleLocalDataSet(filepath=filepath_pkl, backend=request.param) + + +@pytest.fixture +def versioned_pickle_data_set(filepath_pkl, load_version, save_version): + return PickleLocalDataSet( + filepath=filepath_pkl, version=Version(load_version, save_version) + ) + + +class TestPickleLocalDataSet: + @pytest.mark.parametrize("pickle_data_set", ["pickle", "joblib"], indirect=True) + def test_save_and_load(self, pickle_data_set, dummy_dataframe): + """Test saving and reloading the data using different backends.""" + pickle_data_set.save(dummy_dataframe) + reloaded_df = pickle_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_str_representation(self): + """Test string representation of the data set instance.""" + data_set = PickleLocalDataSet(filepath="test.pkl", backend="pickle") + pattern = "PickleLocalDataSet(backend=pickle, filepath=test.pkl)" + assert pattern in str(data_set) + + def test_bad_backend(self): + """Check the error when trying to instantiate with invalid backend.""" + pattern = ( + r"backend should be one of \[\'pickle\'\, \'joblib\'\]\, " + r"got wrong\-backend" + ) + with pytest.raises(ValueError, match=pattern): + PickleLocalDataSet(filepath="test.pkl", backend="wrong-backend") + + def test_exists(self, pickle_data_set, dummy_dataframe): + """Test `exists()` method invocation.""" + assert not pickle_data_set.exists() + + pickle_data_set.save(dummy_dataframe) + assert pickle_data_set.exists() + + def test_joblib_not_installed(self, filepath_pkl, mocker): + """Check the error if 'joblib' module is not installed.""" + mocker.patch.dict("sys.modules", joblib=None) + reload(kedro.io.pickle_local) + # creating a pickle-based data set should be fine + PickleLocalDataSet(filepath=filepath_pkl, backend="pickle") + + # creating a joblib-based data set should fail + pattern = ( + r"selected backend \'joblib\' could not be imported\. " + r"Make sure it is installed\." + ) + with pytest.raises(ImportError, match=pattern): + PickleLocalDataSet(filepath=filepath_pkl, backend="joblib") + + +class TestPickleLocalDataSetVersioned: + def test_save_and_load(self, versioned_pickle_data_set, dummy_dataframe): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_pickle_data_set.save(dummy_dataframe) + reloaded_df = versioned_pickle_data_set.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_no_versions(self, versioned_pickle_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for PickleLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_pickle_data_set.load() + + def test_exists(self, versioned_pickle_data_set, dummy_dataframe): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_pickle_data_set.exists() + + versioned_pickle_data_set.save(dummy_dataframe) + assert versioned_pickle_data_set.exists() + + def test_prevent_override(self, versioned_pickle_data_set, dummy_dataframe): + """Check the error when attempting to override the data set if the + corresponding pickle file for a given save version already exists.""" + versioned_pickle_data_set.save(dummy_dataframe) + pattern = ( + r"Save path \`.+\` for PickleLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_pickle_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_pickle_data_set, load_version, save_version, dummy_dataframe + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.pkl` did not match load path " + r"`.*/{}/test\.pkl` for PickleLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_pickle_data_set.save(dummy_dataframe) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.pkl" + ds = PickleLocalDataSet(filepath=filepath) + ds_versioned = PickleLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_pickle_s3.py b/tests/io/test_pickle_s3.py new file mode 100644 index 0000000000..acceee9869 --- /dev/null +++ b/tests/io/test_pickle_s3.py @@ -0,0 +1,240 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=no-member + +import pickle +from multiprocessing.reduction import ForkingPickler + +import pytest +import s3fs +from botocore.exceptions import PartialCredentialsError +from moto import mock_s3 + +from kedro.io import DataSetError, PickleS3DataSet, Version + +FILENAME = "test.csv" +BUCKET_NAME = "test_bucket" +AWS_CREDENTIALS = dict( + aws_access_key_id="FAKE_ACCESS_KEY", aws_secret_access_key="FAKE_SECRET_KEY" +) +DUMMY_PICKABLE_OBJECT = {"key": "value"} + + +@pytest.fixture +def s3_data_set(): + return PickleS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=AWS_CREDENTIALS + ) + + +@pytest.fixture +def versioned_s3_data_set(load_version, save_version): + return PickleS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials=AWS_CREDENTIALS, + version=Version(load_version, save_version), + ) + + +@pytest.fixture +def mocked_s3_bucket(): + """Create a bucket for testing using moto.""" + with mock_s3(): + conn = s3fs.core.boto3.client("s3", **AWS_CREDENTIALS) + conn.create_bucket(Bucket=BUCKET_NAME) + yield conn + + +@pytest.fixture +def mocked_s3_object(mocked_s3_bucket): + """Creates test data and adds it to mocked S3 bucket.""" + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, Key=FILENAME, Body=pickle.dumps(DUMMY_PICKABLE_OBJECT) + ) + return mocked_s3_bucket + + +@pytest.fixture +def mocked_s3_object_versioned(mocked_s3_bucket, save_version): + """Create versioned test data and add it to mocked S3 bucket.""" + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, + Key="{0}/{1}/{0}".format(FILENAME, save_version), + Body=pickle.dumps(DUMMY_PICKABLE_OBJECT), + ) + return mocked_s3_bucket + + +class TestPickleS3DataSet: + @pytest.mark.usefixtures("mocked_s3_bucket") + def test_exists(self, s3_data_set): + """Test `exists` method invocation for both existing and + nonexistent data set.""" + assert not s3_data_set.exists() + s3_data_set.save(DUMMY_PICKABLE_OBJECT) + assert s3_data_set.exists() + + @mock_s3 + def test_exists_raises_error(self, s3_data_set): + """Check the error if the given S3 bucket doesn't exist.""" + with pytest.raises(DataSetError, match="NoSuchBucket"): + s3_data_set.exists() + + @pytest.mark.usefixtures("mocked_s3_object") + def test_load(self, s3_data_set): + """Test loading the data from S3.""" + loaded_data = s3_data_set.load() + assert loaded_data == DUMMY_PICKABLE_OBJECT + + @pytest.mark.parametrize( + "bad_credentials", + [{"aws_secret_access_key": "SECRET"}, {"aws_access_key_id": "KEY"}], + ) + def test_incomplete_credentials_load(self, bad_credentials): + """Test that incomplete credentials passed in credentials.yml raises exception.""" + with pytest.raises(PartialCredentialsError): + PickleS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=bad_credentials + ) + + def test_incorrect_credentials_load(self): + """Test that incorrect credential keys won't instantiate dataset.""" + pattern = "unexpected keyword argument" + with pytest.raises(TypeError, match=pattern): + PickleS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials={"access_token": "TOKEN", "access_key": "KEY"}, + ) + + @pytest.mark.parametrize( + "bad_credentials", + [{"aws_access_key_id": None, "aws_secret_access_key": None}, {}, None], + ) + def test_empty_credentials_load(self, bad_credentials): + s3_data_set = PickleS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=bad_credentials + ) + pattern = r"Failed while loading data from data set PickleS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + s3_data_set.load() + + def test_pass_credentials(self, mocker): + """Test that AWS credentials are passed successfully into boto3 + client instantiation on creating S3 connection.""" + mocker.patch("s3fs.core.boto3.Session.client") + s3_data_set = PickleS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=AWS_CREDENTIALS + ) + pattern = r"Failed while loading data from data set PickleS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + s3_data_set.load() + + assert s3fs.core.boto3.Session.client.call_count == 1 + args, kwargs = s3fs.core.boto3.Session.client.call_args_list[0] + assert args == ("s3",) + for k, v in AWS_CREDENTIALS.items(): + assert kwargs[k] == v + + @pytest.mark.usefixtures("mocked_s3_object") + def test_save(self, s3_data_set): + """Test saving the data to S3.""" + new_data = {"x": "y"} + s3_data_set.save(new_data) + loaded_data = s3_data_set.load() + assert loaded_data == new_data + + def test_serializable(self, s3_data_set): + ForkingPickler.dumps(s3_data_set) + + +@pytest.mark.usefixtures("mocked_s3_bucket") +class TestPickleS3DataSetVersioned: + def test_exists(self, versioned_s3_data_set): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_s3_data_set.exists() + + versioned_s3_data_set.save(DUMMY_PICKABLE_OBJECT) + assert versioned_s3_data_set.exists() + + def test_no_versions(self, versioned_s3_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for PickleS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_s3_data_set.load() + + @pytest.mark.usefixtures("mocked_s3_object_versioned") + def test_prevent_override(self, versioned_s3_data_set): + """Check the error when attempting to override the data set if the + corresponding pickled object for a given save version already exists in S3.""" + pattern = ( + r"Save path \`.+\` for PickleS3DataSet\(.+\) must not exist " + r"if versioning is enabled" + ) + with pytest.raises(DataSetError, match=pattern): + versioned_s3_data_set.save(DUMMY_PICKABLE_OBJECT) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_s3_data_set, load_version, save_version + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `{f}/{sv}/{f}` did not match load path " + r"`{f}/{lv}/{f}` for PickleS3DataSet\(.+\)".format( + f=FILENAME, sv=save_version, lv=load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_s3_data_set.save(DUMMY_PICKABLE_OBJECT) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + ds = PickleS3DataSet(filepath=FILENAME, bucket_name=BUCKET_NAME) + ds_versioned = PickleS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + version=Version(load_version, save_version), + ) + assert FILENAME in str(ds) + assert "version" not in str(ds) + + assert FILENAME in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/io/test_sql.py b/tests/io/test_sql.py new file mode 100644 index 0000000000..23ba1e0e8f --- /dev/null +++ b/tests/io/test_sql.py @@ -0,0 +1,313 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=no-member + +from typing import Any + +import pandas as pd +import pytest +import sqlalchemy + +from kedro.io import DataSetError, SQLQueryDataSet, SQLTableDataSet + +TABLE_NAME = "table_a" +CONNECTION = "sqlite:///kedro.db" +SQL_QUERY = "SELECT * FROM table_a" +FAKE_CONN_STR = "some_sql://scott:tiger@localhost/foo" +ERROR_PREFIX = ( + r"A module\/driver is missing when connecting to your " r"SQL server\.(.|\n)*" +) + + +@pytest.fixture(params=[dict()]) +def table_data_set(request): + kwargs = dict(table_name=TABLE_NAME, credentials=dict(con=CONNECTION)) + kwargs.update(request.param) + return SQLTableDataSet(**kwargs) + + +@pytest.fixture(params=[dict()]) +def query_data_set(request): + kwargs = dict(sql=SQL_QUERY, credentials=dict(con=CONNECTION)) + kwargs.update(request.param) + return SQLQueryDataSet(**kwargs) + + +class TestSQLTableDataSetLoad: + @staticmethod + def _assert_pd_called_once(): + pd.read_sql_table.assert_called_once_with(table_name=TABLE_NAME, con=CONNECTION) + + def test_empty_table_name(self): + """Check the error when instantiating with an empty table""" + pattern = r"`table\_name` argument cannot be empty\." + with pytest.raises(DataSetError, match=pattern): + SQLTableDataSet(table_name="", credentials=dict(con=CONNECTION)) + + def test_empty_connection(self): + """Check the error when instantiating with an empty + connection string""" + pattern = ( + r"`con` argument cannot be empty\. " + r"Please provide a SQLAlchemy connection string\." + ) + with pytest.raises(DataSetError, match=pattern): + SQLTableDataSet(table_name=TABLE_NAME, credentials=dict(con="")) + + def test_load_sql_params(self, mocker, table_data_set): + """Test `load` method invocation""" + mocker.patch("pandas.read_sql_table") + table_data_set.load() + self._assert_pd_called_once() + + def test_load_driver_missing(self, mocker, table_data_set): + """Check the error when the sql driver is missing""" + mocker.patch( + "pandas.read_sql_table", + side_effect=ImportError("No module named 'mysqldb'"), + ) + with pytest.raises(DataSetError, match=ERROR_PREFIX + "mysqlclient"): + table_data_set.load() + self._assert_pd_called_once() + + def test_invalid_module(self, mocker, table_data_set): + """Test that if an invalid module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + _err = ImportError("Invalid module some_module") + mocker.patch("pandas.read_sql_table", side_effect=_err) + pattern = ERROR_PREFIX + r"Invalid module some\_module" + with pytest.raises(DataSetError, match=pattern): + table_data_set.load() + self._assert_pd_called_once() + + def test_load_unknown_module(self, mocker, table_data_set): + """Test that if an unknown module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + mocker.patch( + "pandas.read_sql_table", + side_effect=ImportError("No module named 'unknown_module'"), + ) + pattern = ERROR_PREFIX + r"No module named \'unknown\_module\'" + with pytest.raises(DataSetError, match=pattern): + table_data_set.load() + + @pytest.mark.parametrize( + "table_data_set", [{"credentials": dict(con=FAKE_CONN_STR)}], indirect=True + ) + def test_load_unknown_sql(self, table_data_set): + """Check the error when unknown sql dialect is provided""" + pattern = ( + r"The SQL dialect in your connection is not supported " r"by SQLAlchemy" + ) + with pytest.raises(DataSetError, match=pattern): + table_data_set.load() + + +class TestSQLTableDataSetSave: + _unknown_conn = "mysql+unknown_module://scott:tiger@localhost/foo" + + @staticmethod + def _assert_to_sql_called_once(df: Any, index: bool = False): + df.to_sql.assert_called_once_with(name=TABLE_NAME, con=CONNECTION, index=index) + + def test_save_default_index(self, mocker, table_data_set, dummy_dataframe): + """Test `save` method invocation""" + mocker.patch.object(dummy_dataframe, "to_sql") + table_data_set.save(dummy_dataframe) + self._assert_to_sql_called_once(dummy_dataframe) + + @pytest.mark.parametrize( + "table_data_set", [{"save_args": dict(index=True)}], indirect=True + ) + def test_save_overwrite_index(self, mocker, table_data_set, dummy_dataframe): + """Test writing DataFrame index as a column""" + mocker.patch.object(dummy_dataframe, "to_sql") + table_data_set.save(dummy_dataframe) + self._assert_to_sql_called_once(dummy_dataframe, True) + + def test_save_driver_missing(self, mocker, table_data_set, dummy_dataframe): + """Test that if an unknown module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + _err = ImportError("No module named 'mysqldb'") + mocker.patch.object(dummy_dataframe, "to_sql", side_effect=_err) + with pytest.raises(DataSetError, match=ERROR_PREFIX + "mysqlclient"): + table_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "table_data_set", [{"credentials": dict(con=FAKE_CONN_STR)}], indirect=True + ) + def test_save_unknown_sql(self, table_data_set, dummy_dataframe): + """Check the error when unknown sql dialect is provided""" + pattern = ( + r"The SQL dialect in your connection is not supported " r"by SQLAlchemy" + ) + with pytest.raises(DataSetError, match=pattern): + table_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "table_data_set", [{"credentials": dict(con=_unknown_conn)}], indirect=True + ) + def test_save_unknown_module(self, mocker, table_data_set, dummy_dataframe): + """Test that if an unknown module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + _err = ImportError("No module named 'unknown_module'") + mocker.patch.object(dummy_dataframe, "to_sql", side_effect=_err) + pattern = r"No module named \'unknown_module\'" + with pytest.raises(DataSetError, match=pattern): + table_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "table_data_set", [{"save_args": dict(name="TABLE_B")}], indirect=True + ) + def test_save_ignore_table_name_override( + self, mocker, table_data_set, dummy_dataframe + ): + """Test that putting the table name is `save_args` does not have any + effect""" + mocker.patch.object(dummy_dataframe, "to_sql") + table_data_set.save(dummy_dataframe) + self._assert_to_sql_called_once(dummy_dataframe) + + +class TestSQLTableDataSet: + @staticmethod + def _assert_sqlalchemy_called_once(*args): + _callable = sqlalchemy.engine.Engine.table_names + if args: + _callable.assert_called_once_with(*args) + else: + assert _callable.call_count == 1 + + def test_str_representation_table(self, table_data_set): + """Test the data set instance string representation""" + str_repr = str(table_data_set) + assert ( + "SQLTableDataSet(save_args={'index': False}, table_name=%s)" % TABLE_NAME + in str_repr + ) + assert CONNECTION not in str(str_repr) + + def test_table_exists(self, mocker, table_data_set): + """Test `exists` method invocation""" + mocker.patch("sqlalchemy.engine.Engine.table_names") + assert not table_data_set.exists() + self._assert_sqlalchemy_called_once() + + @pytest.mark.parametrize( + "table_data_set", [{"load_args": dict(schema="ingested")}], indirect=True + ) + def test_able_exists_schema(self, mocker, table_data_set): + """Test `exists` method invocation with DB schema provided""" + mocker.patch("sqlalchemy.engine.Engine.table_names") + assert not table_data_set.exists() + self._assert_sqlalchemy_called_once("ingested") + + def test_table_exists_mocked(self, mocker, table_data_set): + """Test `exists` method invocation with mocked list of tables""" + mocker.patch("sqlalchemy.engine.Engine.table_names", return_value=[TABLE_NAME]) + assert table_data_set.exists() + self._assert_sqlalchemy_called_once() + + +class TestSQLQueryDataSet: + @staticmethod + def _assert_pd_called_once(): + _callable = pd.read_sql_query + _callable.assert_called_once_with(sql=SQL_QUERY, con=CONNECTION) + + def test_empty_query_error(self): + """Check the error when instantiating with empty query""" + pattern = r"`sql` argument cannot be empty\. " r"Please provide a sql query" + with pytest.raises(DataSetError, match=pattern): + SQLQueryDataSet(sql="", credentials=dict(con=CONNECTION)) + + def test_empty_con_error(self): + """Check the error when instantiating with empty connection string""" + pattern = ( + r"`con` argument cannot be empty\. Please provide " + r"a SQLAlchemy connection string" + ) + with pytest.raises(DataSetError, match=pattern): + SQLQueryDataSet(sql=SQL_QUERY, credentials=dict(con="")) + + def test_load(self, mocker, query_data_set): + """Test `load` method invocation""" + mocker.patch("pandas.read_sql_query") + query_data_set.load() + self._assert_pd_called_once() + + def test_load_driver_missing(self, mocker, query_data_set): + """Test that if an unknown module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + _err = ImportError("No module named 'mysqldb'") + mocker.patch("pandas.read_sql_query", side_effect=_err) + with pytest.raises(DataSetError, match=ERROR_PREFIX + "mysqlclient"): + query_data_set.load() + + def test_invalid_module(self, mocker, query_data_set): + """Test that if an unknown module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + _err = ImportError("Invalid module some_module") + mocker.patch("pandas.read_sql_query", side_effect=_err) + pattern = ERROR_PREFIX + r"Invalid module some\_module" + with pytest.raises(DataSetError, match=pattern): + query_data_set.load() + + def test_load_unknown_module(self, mocker, query_data_set): + """Test that if an unknown module/driver is encountered by SQLAlchemy + then the error should contain the original error message""" + _err = ImportError("No module named 'unknown_module'") + mocker.patch("pandas.read_sql_query", side_effect=_err) + pattern = ERROR_PREFIX + r"No module named \'unknown\_module\'" + with pytest.raises(DataSetError, match=pattern): + query_data_set.load() + + @pytest.mark.parametrize( + "query_data_set", [{"credentials": dict(con=FAKE_CONN_STR)}], indirect=True + ) + def test_load_unknown_sql(self, query_data_set): + """Check the error when unknown SQL dialect is provided + in the connection string""" + pattern = ( + r"The SQL dialect in your connection is not supported " r"by SQLAlchemy" + ) + with pytest.raises(DataSetError, match=pattern): + query_data_set.load() + + def test_save_error(self, query_data_set, dummy_dataframe): + """Check the error when trying to save to the data set""" + pattern = r"`save` is not supported on SQLQueryDataSet" + with pytest.raises(DataSetError, match=pattern): + query_data_set.save(dummy_dataframe) + + def test_str_representation_sql(self, query_data_set): + """Test the data set instance string representation""" + str_repr = str(query_data_set) + assert "SQLQueryDataSet(sql={})".format(SQL_QUERY) in str_repr + assert CONNECTION not in str_repr diff --git a/tests/io/test_text_local.py b/tests/io/test_text_local.py new file mode 100644 index 0000000000..1057a57b0a --- /dev/null +++ b/tests/io/test_text_local.py @@ -0,0 +1,153 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import random +from pathlib import Path + +import pytest + +from kedro.io import DataSetError, TextLocalDataSet +from kedro.io.core import Version + + +@pytest.fixture +def filepath_txt(tmp_path): + return str(tmp_path / "test.txt") + + +@pytest.fixture(params=[dict()]) +def txt_data_set(filepath_txt, request): + return TextLocalDataSet(filepath=filepath_txt, **request.param) + + +@pytest.fixture +def versioned_txt_data_set(filepath_txt, load_version, save_version): + return TextLocalDataSet( + filepath=filepath_txt, version=Version(load_version, save_version) + ) + + +@pytest.fixture +def sample_text(): + random_int = random.randint(1, 10 ** 10) + return "this file has been written with a random_number: {}".format(random_int) + + +def traditional_write(filepath, sample_text): + Path(filepath).write_text(sample_text) + + +class TestTextLocalDataSet: + def test_should_write_to_file(self, txt_data_set, sample_text, filepath_txt): + txt_data_set.save(sample_text) + assert Path(filepath_txt).read_text("utf-8") == sample_text + + def test_load_missing_txt_file(self, txt_data_set): + """Check the error raised when trying to load nonexistent txt file.""" + pattern = r"Failed while loading data from data set TextLocalDataSet" + with pytest.raises(DataSetError, match=pattern): + txt_data_set.load() + + def test_should_read_from_file(self, txt_data_set, sample_text, filepath_txt): + traditional_write(filepath_txt, sample_text) + assert sample_text == txt_data_set.load() + + def test_assess_if_file_exists(self, txt_data_set, sample_text, filepath_txt): + assert not txt_data_set.exists() + traditional_write(filepath_txt, sample_text) + assert txt_data_set.exists() + + +class TestTextLocalDataSetVersioned: + def test_save_and_load(self, versioned_txt_data_set, sample_text): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_txt_data_set.save(sample_text) + reloaded = versioned_txt_data_set.load() + assert reloaded == sample_text + + def test_no_versions(self, versioned_txt_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for TextLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_txt_data_set.load() + + def test_exists(self, versioned_txt_data_set, sample_text): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_txt_data_set.exists() + + versioned_txt_data_set.save(sample_text) + assert versioned_txt_data_set.exists() + + def test_prevent_override(self, versioned_txt_data_set, sample_text): + """Check the error when attempting to override the data set if the + corresponding xls file for a given save version already exists.""" + versioned_txt_data_set.save(sample_text) + pattern = ( + r"Save path \`.+\` for TextLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_txt_data_set.save(sample_text) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_txt_data_set, load_version, save_version, sample_text + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.txt` did not match load path " + r"`.*/{}/test\.txt` for TextLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_txt_data_set.save(sample_text) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.txt" + ds = TextLocalDataSet(filepath=filepath) + ds_versioned = TextLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) diff --git a/tests/pipeline/__init__.py b/tests/pipeline/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/pipeline/test_decorators.py b/tests/pipeline/test_decorators.py new file mode 100644 index 0000000000..e7c37202d6 --- /dev/null +++ b/tests/pipeline/test_decorators.py @@ -0,0 +1,89 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from time import sleep + +from kedro.pipeline.decorators import log_time, mem_profile + + +def sleeping_identity(inp): + sleep(0.1) + return inp + + +def test_log_time(caplog): + caplog.clear() + func = log_time(sleeping_identity) + res = func(1) + + logger_name, severity, message = caplog.record_tuples[0] + assert res == 1 + assert logger_name == "kedro.pipeline.decorators" + assert severity == logging.INFO + expected = "Running '%s.%s' took" % ( + sleeping_identity.__module__, + sleeping_identity.__qualname__, + ) + assert expected in message + + +def test_log_time_no_module(caplog): + """When func module is not defined, function full name is not logged.""" + + def no_module(arg): + return sleeping_identity(arg) + + no_module.__module__ = None + + caplog.clear() + func = log_time(no_module) + res = func(1) + + logger_name, severity, message = caplog.record_tuples[0] + assert res == 1 + assert logger_name == "kedro.pipeline.decorators" + assert severity == logging.INFO + expected = "Running %r took" % no_module.__qualname__ + assert expected in message + + +def test_mem_profile(caplog): + caplog.clear() + func = mem_profile(sleeping_identity) + res = func(1) + + logger_name, severity, message = caplog.record_tuples[0] + assert res == 1 + assert logger_name == "kedro.pipeline.decorators" + assert severity == logging.INFO + expected = "Running '%s.%s' consumed" % ( + sleeping_identity.__module__, + sleeping_identity.__qualname__, + ) + assert expected in message diff --git a/tests/pipeline/test_node.py b/tests/pipeline/test_node.py new file mode 100644 index 0000000000..2b20ace259 --- /dev/null +++ b/tests/pipeline/test_node.py @@ -0,0 +1,305 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from functools import wraps +from typing import Callable + +import pytest + +from kedro.pipeline import node + + +# Different dummy func based on the number of arguments +def constant_output(): + return "output" # pragma: no cover + + +def identity(input1: str): + return input1 # pragma: no cover + + +def biconcat(input1: str, input2: str): + return input1 + input2 # pragma: no cover + + +def triconcat(input1: str, input2: str, input3: str): + return input1 + input2 + input3 # pragma: no cover + + +@pytest.fixture +def simple_tuple_node_list(): + return [ + (identity, "A", "B"), + (biconcat, ["A", "B"], "C"), + (identity, "C", ["D", "E"]), + (biconcat, ["H", "I"], ["J", "K"]), + (identity, "J", dict(result="K")), + (biconcat, ["J", "K"], dict(result="L")), + (identity, dict(input1="J"), "L"), + (identity, dict(input1="J"), ["L", "M"]), + (identity, dict(input1="J"), dict(result="K")), + (constant_output, None, "M"), + (biconcat, ["N", "O"], None), + (lambda x: None, "F", "G"), + ] + + +class TestValidNode: + def test_valid(self, simple_tuple_node_list): + nodes = [node(*tup) for tup in simple_tuple_node_list] + assert len(nodes) == len(simple_tuple_node_list) + + def test_labelled(self): + assert "labeled_node: <lambda>([input1]) -> [output1]" in str( + node(lambda x: None, "input1", "output1", name="labeled_node") + ) + + def test_no_input(self): + assert "constant_output(None) -> [output1]" in str( + node(constant_output, None, "output1") + ) + + def test_no_output(self): + assert "<lambda>([input1]) -> None" in str(node(lambda x: None, "input1", None)) + + def test_node_equals(self): + first = node(identity, "input1", "output1", name="a node") + second = node(identity, "input1", "output1", name="a node") + assert first == second + assert first is not second + + def test_inputs_none(self): + dummy_node = node(constant_output, None, "output") + assert dummy_node.inputs == [] + + def test_inputs_str(self): + dummy_node = node(identity, "input1", "output1") + assert dummy_node.inputs == ["input1"] + + def test_inputs_dict(self): + dummy_node = node( + biconcat, + {"input1": "in1", "input2": "in2"}, + ["output2", "output1", "last node"], + ) + inputs = dummy_node.inputs + assert isinstance(inputs, list) + assert len(inputs) == 2 + assert set(inputs) == {"in1", "in2"} + + def test_inputs_list(self): + dummy_node = node( + triconcat, + ["input1", "input2", "another node"], + ["output1", "output2", "last node"], + ) + assert dummy_node.inputs == ["input1", "input2", "another node"] + + def test_outputs_none(self): + dummy_node = node(identity, "input", None) + assert dummy_node.outputs == [] + + def test_outputs_str(self): + dummy_node = node(identity, "input1", "output1") + assert dummy_node.outputs == ["output1"] + + def test_outputs_dict(self): + dummy_node = node( + biconcat, ["input1", "input2"], {"output1": "out1", "output2": "out2"} + ) + outputs = dummy_node.outputs + assert isinstance(outputs, list) + assert len(outputs) == 2 + assert set(outputs) == {"out1", "out2"} + + def test_outputs_list(self): + dummy_node = node( + triconcat, + ["input2", "input1", "another node"], + ["output2", "output1", "last node"], + ) + assert dummy_node.outputs == ["output2", "output1", "last node"] + + +def bad_input_type_node(): + return lambda x: None, ("A", "D"), "B" + + +def bad_output_type_node(): + return lambda x: None, "A", ("B", "C") + + +def bad_function_type_node(): + return "A", "B", "C" + + +def no_input_or_output_node(): + return constant_output, None, None + + +def input_same_as_output_node(): + return biconcat, ["A", "B"], dict(a="A") + + +def duplicate_output_dict_node(): + return identity, "A", dict(a="A", b="A") + + +def duplicate_output_list_node(): + return identity, "A", ["A", "A"] + + +@pytest.mark.parametrize( + "func, expected", + [ + (bad_input_type_node, r"`inputs` type must be one of "), + (bad_output_type_node, r"`outputs` type must be one of "), + (bad_function_type_node, r"first argument must be a function"), + (no_input_or_output_node, r"it must have some `inputs` or `outputs`"), + ( + input_same_as_output_node, + r"A node cannot have the same inputs and outputs: {\'A\'}", + ), + ( + duplicate_output_dict_node, + r"Failed to create node identity" + r"\(\[A\]\) -> \[A,A\] due to " + r"duplicate output\(s\) {\'A\'}.", + ), + ( + duplicate_output_list_node, + r"Failed to create node identity" + r"\(\[A\]\) -> \[A,A\] due to " + r"duplicate output\(s\) {\'A\'}.", + ), + ], +) +def test_bad_node(func, expected): + with pytest.raises(ValueError, match=expected): + node(*func()) + + +def inconsistent_input_size(): + return identity, ["A", "B"], "C" + + +def inconsistent_input_args(): + def dummy_func_args(*args): + return "".join([*args]) # pragma: no cover + + return dummy_func_args, {"a": "A"}, "B" + + +def inconsistent_input_kwargs(): + def dummy_func_args(**kwargs): + return list(kwargs.values()) # pragma: no cover + + return dummy_func_args, "A", "B" + + +@pytest.mark.parametrize( + "func, expected", + [ + ( + inconsistent_input_size, + r"Inputs of function expected \[\'input1\'\], but got \[\'A\', \'B\'\]", + ), + ( + inconsistent_input_args, + r"Inputs of function expected \[\'args\'\], but got {\'a\': \'A\'}", + ), + ( + inconsistent_input_kwargs, + r"Inputs of function expected \[\'kwargs\'\], but got A", + ), + ], +) +def test_bad_input(func, expected): + with pytest.raises(TypeError, match=expected): + node(*func()) + + +def apply_f(func: Callable) -> Callable: + @wraps(func) + def with_f(*args, **kwargs): + return func(*["f(%s)" % a for a in args], **kwargs) + + return with_f + + +def apply_g(func: Callable) -> Callable: + @wraps(func) + def with_g(*args, **kwargs): + return func(*["g(%s)" % a for a in args], **kwargs) + + return with_g + + +def apply_h(func: Callable) -> Callable: + @wraps(func) + def with_h(*args, **kwargs): + return func(*["h(%s)" % a for a in args], **kwargs) + + return with_h + + +def apply_ij(func: Callable) -> Callable: + @wraps(func) + def with_ij(*args, **kwargs): + return func(*["ij(%s)" % a for a in args], **kwargs) + + return with_ij + + +@apply_f +def decorated_identity(value): + return value + + +class TestTagDecorator: + def test_apply_decorators(self): + old_node = node(apply_g(decorated_identity), "input", "output", name="node") + new_node = old_node.decorate(apply_h, apply_ij) + result = new_node.run(dict(input=1)) + + assert old_node.name == new_node.name + assert "output" in result + assert result["output"] == "f(g(ij(h(1))))" + + def test_tag_nodes(self): + tagged_node = node(identity, "input", "output", tags=["hello"]).tag(["world"]) + assert "hello" in tagged_node.tags + assert "world" in tagged_node.tags + assert len(tagged_node.tags) == 2 + + def test_tag_and_decorate(self): + tagged_node = node(identity, "input", "output", tags=["hello"]) + tagged_node = tagged_node.decorate(apply_f) + tagged_node = tagged_node.tag(["world"]) + assert "hello" in tagged_node.tags + assert "world" in tagged_node.tags + assert tagged_node.run(dict(input=1))["output"] == "f(1)" diff --git a/tests/pipeline/test_node_run.py b/tests/pipeline/test_node_run.py new file mode 100644 index 0000000000..709418b6ac --- /dev/null +++ b/tests/pipeline/test_node_run.py @@ -0,0 +1,169 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-argument + +import pytest + +from kedro.io import LambdaDataSet +from kedro.pipeline import node + + +@pytest.fixture +def mocked_dataset(mocker): + load = mocker.Mock(return_value=42) + save = mocker.Mock() + return LambdaDataSet(load, save) + + +def one_in_one_out(arg): + return arg + + +def one_in_dict_out(arg): + return dict(ret=arg) + + +def two_in_first_out(arg1, arg2): + return arg1 + + +@pytest.fixture +def valid_nodes_with_inputs(): + return [ + (node(one_in_one_out, "ds1", "dsOut"), dict(ds1=42)), + (node(one_in_dict_out, dict(arg="ds1"), dict(ret="dsOut")), dict(ds1=42)), + (node(two_in_first_out, ["ds1", "ds2"], "dsOut"), dict(ds1=42, ds2=58)), + ] + + +def test_valid_nodes(valid_nodes_with_inputs): + """Check if node.run works as expected.""" + for node_, input_ in valid_nodes_with_inputs: + output = node_.run(input_) + assert output["dsOut"] == 42 + + +def test_run_got_dataframe(mocked_dataset): + """Check an exception when non-dictionary (class object) is passed.""" + pattern = r"Node.run\(\) expects a dictionary or None, " + pattern += r"but got <class \'kedro.io.lambda_data_set.LambdaDataSet\'> instead" + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, dict(arg="ds1"), "A").run(mocked_dataset) + + +class TestNodeRunInvalidInput: + def test_unresolved(self): + """Pass no input when one is expected.""" + with pytest.raises(ValueError, match=r"expected one input"): + node(one_in_one_out, "unresolved", "ds1").run(None) + + def test_no_inputs_node_error(self, mocked_dataset): + """Pass one input when none is expected.""" + with pytest.raises(ValueError, match=r"expected no inputs"): + node(lambda: 1, None, "A").run(dict(unexpected=mocked_dataset)) + + def test_one_input_error(self, mocked_dataset): + """Pass a different input.""" + pattern = r"expected one input named 'ds1', but got the " + pattern += r"following 1 input\(s\) instead: \['arg'\]" + with pytest.raises(ValueError, match=pattern): + node(one_in_dict_out, "ds1", dict(ret="B", ans="C")).run( + dict(arg=mocked_dataset) + ) + + def test_run_diff_size_lists(self, mocked_dataset): + """Pass only one dict input when two (list) are expected.""" + pattern = r"expected 2 input\(s\) \['ds1', 'ds2'\], but " + pattern += r"got the following 1 input\(s\) instead." + with pytest.raises(ValueError, match=pattern): + node(two_in_first_out, ["ds1", "ds2"], "A").run(dict(ds1=mocked_dataset)) + + def test_run_diff_size_list_dict(self, mocked_dataset): + """Pass two dict inputs when one (list) are expected.""" + pattern = r"expected 1 input\(s\) \['ds1'\], but got the " + pattern += r"following 2 input\(s\) instead: \['ds1', 'ds2'\]\." + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, ["ds1"], "A").run(dict(ds1=mocked_dataset, ds2=2)) + + def test_run_list_dict_unavailable(self, mocked_dataset): + """Pass one dict which is different from expected.""" + pattern = r"expected 1 input\(s\) \['ds1'\], but got the " + pattern += r"following 1 input\(s\) instead: \['ds2'\]\." + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, ["ds1"], "A").run(dict(ds2=mocked_dataset)) + + def test_run_dict_unavailable(self, mocked_dataset): + """Pass one dict which is different from expected.""" + pattern = r"expected 1 input\(s\) \['ds1'\], but got the " + pattern += r"following 1 input\(s\) instead: \['ds2'\]\." + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, dict(arg="ds1"), "A").run(dict(ds2=mocked_dataset)) + + def test_run_dict_diff_size(self, mocked_dataset): + """Pass two dict inputs when one is expected.""" + pattern = r"expected 1 input\(s\) \['ds1'\], but got the " + pattern += r"following 2 input\(s\) instead: \['ds1', 'ds2'\]\." + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, dict(arg="ds1"), "A").run( + dict(ds1=mocked_dataset, ds2=2) + ) + + +class TestNodeRunInvalidOutput: + def test_miss_matching_output_types(self, mocked_dataset): + pattern = r"The node output is a dictionary, whereas the function " + pattern += r"output is not\." + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, "ds1", dict(a="ds")).run(dict(ds1=mocked_dataset)) + + def test_miss_matching_output_keys(self, mocked_dataset): + pattern = r"The node's output keys {'ret'} do not match " + pattern += r"with the returned output's keys" + with pytest.raises(ValueError, match=pattern): + node(one_in_dict_out, "ds1", dict(ret="B", ans="C")).run( + dict(ds1=mocked_dataset) + ) + + def test_node_not_list_output(self, mocked_dataset): + pattern = r"The node definition contains a list of outputs " + pattern += r"\['B', 'C'\], whereas the node function returned " + pattern += r"a `LambdaDataSet`" + with pytest.raises(ValueError, match=pattern): + node(one_in_one_out, "ds1", ["B", "C"]).run(dict(ds1=mocked_dataset)) + + def test_node_wrong_num_of_outputs(self, mocker, mocked_dataset): + def one_in_two_out(arg): + load = mocker.Mock(return_value=42) + save = mocker.Mock() + return [LambdaDataSet(load, save), LambdaDataSet(load, save)] + + pattern = r"The node function returned 2 output\(s\), whereas " + pattern += r"the node definition contains 3 output\(s\)\." + with pytest.raises(ValueError, match=pattern): + node(one_in_two_out, "ds1", ["A", "B", "C"]).run(dict(ds1=mocked_dataset)) diff --git a/tests/pipeline/test_pipeline.py b/tests/pipeline/test_pipeline.py new file mode 100644 index 0000000000..31afafd14e --- /dev/null +++ b/tests/pipeline/test_pipeline.py @@ -0,0 +1,650 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from functools import wraps +from itertools import chain +from typing import Callable + +import pytest +from pytest import fixture + +import kedro +from kedro.io import DataCatalog +from kedro.pipeline import Pipeline, node +from kedro.pipeline.pipeline import CircularDependencyError, OutputNotUniqueError +from kedro.runner import SequentialRunner + + +# Different dummy func based on the number of arguments +def constant_output(): + return "output" # pragma: no cover + + +def identity(input1: str): + return input1 # pragma: no cover + + +def biconcat(input1: str, input2: str): + return input1 + input2 # pragma: no cover + + +def triconcat(input1: str, input2: str, input3: str): + return input1 + input2 + input3 # pragma: no cover + + +@fixture +def branchless_pipeline(): + return { + "nodes": [ + node(identity, "E", None), + node(identity, "D", "E"), + node(identity, "C", "D"), + node(identity, "A", "B"), + node(identity, "B", "C"), + node(constant_output, None, "A"), + ], + "expected": [ + {node(constant_output, None, "A")}, + {node(identity, "A", "B")}, + {node(identity, "B", "C")}, + {node(identity, "C", "D")}, + {node(identity, "D", "E")}, + {node(identity, "E", None)}, + ], + "free_inputs": [], + "outputs": [], + } + + +@fixture +def pipeline_list_with_lists(): + return { + "nodes": [ + node(triconcat, ["H", "I", "M"], "N", name="node1"), + node(identity, "H", "I", name="node2"), + node(identity, "F", ["G", "M"], name="node3"), + node(identity, "E", ["F", "H"], name="node4"), + node(identity, "D", None, name="node5"), + node(identity, "C", "D", name="node6"), + node(identity, "B", ["C", "E"], name="node7"), + node(identity, "A", ["B", "L"], name="node8"), + node(constant_output, None, "A", name="node9"), + ], + "expected": [ + {node(constant_output, None, "A", name="node9")}, + {node(identity, "A", ["B", "L"], name="node8")}, + {node(identity, "B", ["C", "E"], name="node7")}, + { + node(identity, "C", "D", name="node6"), + node(identity, "E", ["F", "H"], name="node4"), + }, + { + node(identity, "D", None, name="node5"), + node(identity, "H", "I", name="node2"), + node(identity, "F", ["G", "M"], name="node3"), + }, + {node(triconcat, ["H", "I", "M"], "N", name="node1")}, + ], + "free_inputs": [], + "outputs": ["L", "G", "N"], + } + + +@fixture +def pipeline_with_dicts(): + return { + "nodes": [ + node(triconcat, ["H", "I", "M"], "N", name="node1"), + node(identity, "H", "I", name="node2"), + node(identity, "F", dict(M="M", N="G"), name="node3"), + node(identity, "E", dict(O="F", P="H"), name="node4"), # NOQA + node(identity, dict(input1="D"), None, name="node5"), + node(identity, "C", "D", name="node6"), + node(identity, "B", dict(P="C", Q="E"), name="node7"), + node(identity, "A", dict(R="B", S="L"), name="node8"), + node(constant_output, None, "A", name="node9"), + ], + "expected": [ + {node(constant_output, None, "A", name="node9")}, + {node(identity, "A", dict(R="B", S="L"), name="node8")}, + {node(identity, "B", dict(P="C", Q="E"), name="node7")}, + { + node(identity, "C", "D", name="node6"), + node(identity, "E", dict(O="F", P="H"), name="node4"), # NOQA + }, + { + node(identity, dict(input1="D"), None, name="node5"), + node(identity, "H", "I", name="node2"), + node(identity, "F", dict(M="M", N="G"), name="node3"), + }, + {node(triconcat, ["H", "I", "M"], "N", name="node1")}, + ], + "free_inputs": [], + "outputs": ["L", "G", "N"], + } + + +@fixture +def free_input_needed_pipeline(): + return { + "nodes": [ + node(identity, "A", "B", name="node1"), # 'A' needs to be free + node(identity, "B", "C", name="node2"), + node(identity, "C", "D", name="node3"), + ], + "expected": [ + {node(identity, "A", "B", name="node1")}, + {node(identity, "B", "C", name="node2")}, + {node(identity, "C", "D", name="node3")}, + ], + "free_inputs": ["A"], + "outputs": ["D"], + } + + +@fixture +def disjoint_pipeline(): + # Two separate pipelines: A->B->C and D->E->F + return { + "nodes": [ + node(identity, "A", "B", name="node1"), + node(identity, "B", "C", name="node2"), + node(identity, "E", "F", name="node3"), # disjoint part D->E->F + node(identity, "D", "E", name="node4"), + ], + "expected": [ + { + node(identity, "A", "B", name="node1"), + node(identity, "D", "E", name="node4"), + }, + { + node(identity, "B", "C", name="node2"), + node(identity, "E", "F", name="node3"), + }, + ], + "free_inputs": ["A", "D"], + "outputs": ["C", "F"], + } + + +@fixture +def pipeline_input_duplicated(): + return { + "nodes": [ + node(biconcat, ["A", "A"], "B", name="node1"), # input duplicate + node(identity, "B", "C", name="node2"), + node(identity, "C", "D", name="node3"), + ], + "expected": [ + {node(biconcat, ["A", "A"], "B", name="node1")}, + {node(identity, "B", "C", name="node2")}, + {node(identity, "C", "D", name="node3")}, + ], + "free_inputs": ["A"], + "outputs": ["D"], + } + + +@fixture +def str_node_inputs_list(): + return { + "nodes": [ + node(biconcat, ["input1", "input2"], ["input3"], name="node1"), + node(identity, "input3", "input4", name="node2"), + ], + "expected": [ + {node(biconcat, ["input1", "input2"], ["input3"], name="node1")}, + {node(identity, "input3", "input4", name="node2")}, + ], + "free_inputs": ["input1", "input2"], + "outputs": ["input4"], + } + + +@pytest.fixture( + params=[ + "branchless_pipeline", + "pipeline_list_with_lists", + "pipeline_with_dicts", + "free_input_needed_pipeline", + "disjoint_pipeline", + "pipeline_input_duplicated", + "str_node_inputs_list", + ] +) +def input_data(request): + return request.getfixturevalue(request.param) + + +class TestValidPipeline: + def test_nodes(self, str_node_inputs_list): + nodes = str_node_inputs_list["nodes"] + pipeline = Pipeline(nodes) + + assert set(pipeline.nodes) == set(nodes) + + def test_grouped_nodes(self, input_data): + """Check if grouped_nodes func groups the nodes correctly""" + nodes_input = input_data["nodes"] + expected = input_data["expected"] + pipeline = Pipeline(nodes_input) + + grouped = pipeline.grouped_nodes + # Flatten a list of grouped nodes + assert pipeline.nodes == list(chain.from_iterable(grouped)) + # Check each grouped node matches with expected group + assert all(e == set(g) for e, g in zip(expected, grouped)) + + @pytest.mark.parametrize( + "target_node_names", [["node2", "node3", "node4", "node8"], ["node1"]] + ) + def test_only_nodes(self, target_node_names, pipeline_list_with_lists): + full = Pipeline(pipeline_list_with_lists["nodes"]) + partial = full.only_nodes(*target_node_names) + target_list = list(target_node_names) + names = map(lambda node_: node_.name, partial.nodes) + assert sorted(target_list) == sorted(names) + + def test_free_input(self, input_data): + nodes = input_data["nodes"] + inputs = input_data["free_inputs"] + + pipeline = Pipeline(nodes) + + assert set(inputs) == pipeline.inputs() + + def test_outputs(self, input_data): + nodes = input_data["nodes"] + outputs = input_data["outputs"] + + pipeline = Pipeline(nodes) + + assert set(outputs) == pipeline.outputs() + + def test_combine(self): + pipeline1 = Pipeline([node(biconcat, ["input", "input1"], "output1", name="a")]) + pipeline2 = Pipeline([node(biconcat, ["input", "input2"], "output2", name="b")]) + new_pipeline = pipeline1 + pipeline2 + assert new_pipeline.inputs() == {"input", "input1", "input2"} + assert new_pipeline.outputs() == {"output1", "output2"} + assert {n.name for n in new_pipeline.nodes} == {"a", "b"} + + def test_combine_same_node(self): + """Multiple (identical) pipelines are possible""" + pipeline1 = Pipeline( + [node(biconcat, ["input", "input1"], ["output"], name="a")] + ) + pipeline2 = Pipeline( + [node(biconcat, ["input", "input1"], ["output"], name="a")] + ) + new_pipeline = pipeline1 + pipeline2 + assert new_pipeline.inputs() == {"input", "input1"} + assert new_pipeline.outputs() == {"output"} + assert {n.name for n in new_pipeline.nodes} == {"a"} + + def test_empty_case(self): + """Empty pipeline is possible""" + Pipeline([]) + + +def pipeline_with_circle(): + return [ + node(identity, "A", "B", name="node1"), + node(identity, "B", "C", name="node2"), + node(identity, "C", "A", name="node3"), # circular dependency + ] + + +def non_unique_node_outputs(): + return [ + node(identity, "A", ["B", "C"], name="node1"), + node(identity, "C", ["D", "E", "F"], name="node2"), + # D, E non-unique + node(identity, "B", dict(out1="D", out2="E"), name="node3"), + node(identity, "D", ["E"], name="node4"), # E non-unique + ] + + +class TestInvalidPipeline: + def test_circle_case(self): + pattern = "Circular dependencies" + with pytest.raises(CircularDependencyError, match=pattern): + Pipeline(pipeline_with_circle()) + + def test_unique_outputs(self): + with pytest.raises(OutputNotUniqueError, match=r"\['D', 'E'\]"): + Pipeline(non_unique_node_outputs()) + + def test_none_case(self): + with pytest.raises(ValueError, match="is None"): + Pipeline(None) + + @pytest.mark.parametrize( + "target_node_names", [["node2", "node3", "node4", "NaN"], ["invalid"]] + ) + def test_only_nodes_missing(self, pipeline_list_with_lists, target_node_names): + pattern = r"Pipeline does not contain nodes" + full = Pipeline(pipeline_list_with_lists["nodes"]) + with pytest.raises(ValueError, match=pattern): + full.only_nodes(*target_node_names) + + def test_duplicate_names(self): + pattern = r"Pipeline nodes must have unique names\. The following " + pattern += r"node names appear more than once: \['same_name'\]" + with pytest.raises(ValueError, match=pattern): + Pipeline( + [ + node(identity, "in1", "out1", name="same_name"), + node(identity, "in2", "out2", name="same_name"), + ] + ) + + def test_bad_combine(self): + """Node cannot be combined to pipeline.""" + fred = node(identity, "input", "output") + pipeline = Pipeline([fred]) + with pytest.raises(TypeError): + pipeline + fred # pylint: disable=pointless-statement + + def test_conflicting_names(self): + """Node names must be unique.""" + pipeline1 = Pipeline( + [node(biconcat, ["input", "input1"], ["output1"], name="a")] + ) + new_pipeline = Pipeline( + [node(biconcat, ["input", "input1"], ["output2"], name="a")] + ) + with pytest.raises(ValueError, match=r"\['a'\]"): + pipeline1 + new_pipeline # pylint: disable=pointless-statement + + def test_conflicting_outputs(self): + """Node outputs must be unique.""" + pipeline1 = Pipeline( + [node(biconcat, ["input", "input1"], ["output", "output1"], name="a")] + ) + new_pipeline = Pipeline( + [node(biconcat, ["input", "input2"], ["output", "output2"], name="b")] + ) + with pytest.raises(OutputNotUniqueError, match=r"\['output'\]"): + pipeline1 + new_pipeline # pylint: disable=pointless-statement + + +@pytest.fixture +def complex_pipeline(pipeline_list_with_lists): + nodes = pipeline_list_with_lists["nodes"] + pipeline = Pipeline(nodes) + return pipeline + + +class TestComplexPipeline: + def test_from_inputs(self, complex_pipeline): + """F and H are inputs of node1, node2 and node3.""" + new_pipeline = complex_pipeline.from_inputs("F", "H") + nodes = {node.name for node in new_pipeline.nodes} + + assert len(new_pipeline.nodes) == 3 + assert nodes == {"node1", "node2", "node3"} + + def test_from_inputs_unknown(self, complex_pipeline): + """W and Z do not exist as inputs.""" + with pytest.raises(ValueError, match=r"\['W', 'Z'\]"): + complex_pipeline.from_inputs("Z", "W", "E", "C") + + def test_only_nodes_with_inputs(self, complex_pipeline): + """node1 and node2 require H as an input.""" + new_pipeline = complex_pipeline.only_nodes_with_inputs("H") + nodes = {node.name for node in new_pipeline.nodes} + + assert len(new_pipeline.nodes) == 2 + assert nodes == {"node1", "node2"} + + def test_only_nodes_with_inputs_unknown(self, complex_pipeline): + with pytest.raises(ValueError, match="['W', 'Z']"): + complex_pipeline.only_nodes_with_inputs("Z", "W", "E", "C") + + def test_only_nodes_with_outputs(self, complex_pipeline): + """node4 require F and H as outputs.""" + new_pipeline = complex_pipeline.only_nodes_with_outputs("F", "H") + nodes = {node.name for node in new_pipeline.nodes} + + assert len(new_pipeline.nodes) == 1 + assert nodes == {"node4"} + + def test_only_nodes_with_outputs_unknown(self, complex_pipeline): + with pytest.raises(ValueError, match="['W', 'Z']"): + complex_pipeline.only_nodes_with_outputs("Z", "W", "E", "C") + + def test_to_outputs(self, complex_pipeline): + """New pipeline contain all nodes to produce F and H outputs.""" + new_pipeline = complex_pipeline.to_outputs("F", "H") + nodes = {node.name for node in new_pipeline.nodes} + + assert len(new_pipeline.nodes) == 4 + assert nodes == {"node4", "node7", "node8", "node9"} + + def test_to_outputs_unknown(self, complex_pipeline): + with pytest.raises(ValueError, match=r"\['W', 'Z'\]"): + complex_pipeline.to_outputs("Z", "W", "E", "C") + + def test_from_nodes(self, complex_pipeline): + """New pipeline contain all nodes that depend on node2 and node3.""" + new_pipeline = complex_pipeline.from_nodes("node3", "node2") + nodes = {node.name for node in new_pipeline.nodes} + + assert len(new_pipeline.nodes) == 3 + assert nodes == {"node1", "node2", "node3"} + + def test_from_node_unknown(self, complex_pipeline): + pattern = r"Pipeline does not contain nodes named \['missing_node'\]" + with pytest.raises(ValueError, match=pattern): + complex_pipeline.from_nodes("missing_node") + + def test_to_nodes(self, complex_pipeline): + """New pipeline contain all nodes required by node4 and node6.""" + new_pipeline = complex_pipeline.to_nodes("node4", "node6") + nodes = {node.name for node in new_pipeline.nodes} + + assert len(new_pipeline.nodes) == 5 + assert nodes == {"node4", "node6", "node7", "node8", "node9"} + + def test_to_nodes_unknown(self, complex_pipeline): + pattern = r"Pipeline does not contain nodes named \['missing_node'\]" + with pytest.raises(ValueError, match=pattern): + complex_pipeline.to_nodes("missing_node") + + def test_connected_pipeline(self, disjoint_pipeline): + """Connect two separate pipelines.""" + nodes = disjoint_pipeline["nodes"] + subpipeline = Pipeline(nodes, name="subpipeline") + + assert len(subpipeline.inputs()) == 2 + assert len(subpipeline.outputs()) == 2 + + pipeline = Pipeline( + [node(identity, "C", "D", name="connecting_node"), subpipeline], name="main" + ) + + assert len(pipeline.nodes) == 1 + len(nodes) + assert len(pipeline.inputs()) == 1 + assert len(pipeline.outputs()) == 1 + assert all(pipeline.name in n.tags for n in pipeline.nodes) + assert all( + subpipeline.name in n.tags + for n in pipeline.nodes + if n.name != "connecting_node" + ) + + def test_node_dependencies(self, complex_pipeline): + expected = { + ("node1", "node2"), + ("node1", "node3"), + ("node1", "node4"), + ("node2", "node4"), + ("node3", "node4"), + ("node4", "node7"), + ("node5", "node6"), + ("node6", "node7"), + ("node7", "node8"), + ("node8", "node9"), + } + actual = {(n1.name, n2.name) for n1, n2 in complex_pipeline.node_dependencies} + assert actual == expected + + +class TestPipelineDescribe: + def test_names_only(self, str_node_inputs_list): + pipeline = Pipeline(str_node_inputs_list["nodes"]) + description = pipeline.describe() + + desc = description.split("\n") + test_desc = [ + "#### Pipeline execution order ####", + "Name: None", + "Inputs: input1, input2", + "", + "node1", + "node2", + "", + "Outputs: input4", + "##################################", + ] + + assert len(desc) == len(test_desc) + for res, example in zip(desc, test_desc): + assert res == example + + def test_full(self, str_node_inputs_list): + pipeline = Pipeline(str_node_inputs_list["nodes"]) + description = pipeline.describe(names_only=False) + + desc = description.split("\n") + test_desc = [ + "#### Pipeline execution order ####", + "Name: None", + "Inputs: input1, input2", + "", + "node1: biconcat([input1,input2]) -> [input3]", + "node2: identity([input3]) -> [input4]", + "", + "Outputs: input4", + "##################################", + ] + + assert len(desc) == len(test_desc) + for res, example in zip(desc, test_desc): + assert res == example + + +def apply_f(func: Callable) -> Callable: + @wraps(func) + def with_f(*args, **kwargs): + return func(*["f(%s)" % a for a in args], **kwargs) + + return with_f + + +def apply_g(func: Callable) -> Callable: + @wraps(func) + def with_g(*args, **kwargs): + return func(*["g(%s)" % a for a in args], **kwargs) + + return with_g + + +class TestPipelineDecorator: + def test_apply(self): + nodes = sorted( + [ + node(identity, "number", "output1", name="identity1"), + node(identity, "output1", "output2", name="biconcat"), + node(identity, "output2", "output", name="identity3"), + ], + key=lambda x: x.name, + ) + + pipeline = Pipeline(nodes).decorate(apply_f, apply_g) + catalog = DataCatalog({}, dict(number=1)) + result = SequentialRunner().run(pipeline, catalog) + decorated_nodes = sorted(pipeline.nodes, key=lambda x: x.name) + + assert result["output"] == "g(f(g(f(g(f(1))))))" + assert len(pipeline.nodes) == 3 + assert all(n1.name == n2.name for n1, n2 in zip(nodes, decorated_nodes)) + + def test_empty_apply(self): + """Applying no decorators is valid.""" + identity_node = node(identity, "number", "output", name="identity") + pipeline = Pipeline([identity_node]).decorate() + catalog = DataCatalog({}, dict(number=1)) + result = SequentialRunner().run(pipeline, catalog) + assert result["output"] == 1 + + +@pytest.fixture +def nodes_with_tags(): + return [ + node(identity, "E", None, name="node1"), + node(identity, "D", "E", name="node2", tags=["tag1", "tag2"]), + node(identity, "C", "D", name="node3"), + node(identity, "A", "B", name="node4", tags=["tag2"]), + node(identity, "B", "C", name="node5"), + node(constant_output, None, "A", name="node6", tags=["tag1"]), + ] + + +class TestPipelineTags: + @pytest.mark.parametrize( + "tags,expected_nodes", + [ + (["tag1"], ["node2", "node6"]), + (["tag2"], ["node2", "node4"]), + (["tag2", "tag1"], ["node2", "node4", "node6"]), + (["tag1", "tag2", "tag-missing"], ["node2", "node4", "node6"]), + (["tag-missing"], []), + ([], []), + ], + ) + def test_from_tags(self, tags, expected_nodes, nodes_with_tags): + pipeline = Pipeline(nodes_with_tags) + + def get_nodes_with_tags(*tags): + p = pipeline.only_nodes_with_tags(*tags) + return sorted(n.name for n in p.nodes) + + assert get_nodes_with_tags(*tags) == expected_nodes + + +def test_pipeline_to_json(input_data): + nodes = input_data["nodes"] + json_rep = Pipeline(nodes).to_json() + for pipeline_node in nodes: + assert pipeline_node.name in json_rep + assert all([node_input in json_rep for node_input in pipeline_node.inputs]) + assert all([node_output in json_rep for node_output in pipeline_node.outputs]) + + assert kedro.__version__ in json_rep diff --git a/tests/pipeline/test_pipeline_from_missing.py b/tests/pipeline/test_pipeline_from_missing.py new file mode 100644 index 0000000000..386a29c179 --- /dev/null +++ b/tests/pipeline/test_pipeline_from_missing.py @@ -0,0 +1,248 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest import mock + +import pytest + +from kedro.io import DataCatalog, LambdaDataSet +from kedro.pipeline import Pipeline, node +from kedro.runner import SequentialRunner + + +# Different dummy func based on the number of arguments +def constant_output(): + return "output" # pragma: no cover + + +def identity(input1: str): + return input1 # pragma: no cover + + +def biconcat(input1: str, input2: str): + return input1 + input2 # pragma: no cover + + +@pytest.fixture +def branched_pipeline(): + # #### Pipeline execution order #### + # Inputs: A + # + # left in: identity([A]) -> [B] + # right in: constant_output(None) -> [C] + # combine: biconcat([B,C]) -> [D] + # split: identity([D]) -> [E,F] + # right out: identity([F]) -> None + # Outputs: E + # + # A + # | + # l-in r-in + # | | + # B C + # \ / + # combine + # | + # D + # | + # split + # / \ + # E F + # | + # r-out + # + # ################################## + return Pipeline( + [ + node(identity, "A", "B", name="left in"), + node(constant_output, None, "C", name="right in"), + node(biconcat, ["B", "C"], "D", name="combine"), + node(identity, "D", ["E", "F"], name="split"), + node(identity, "F", None, name="right out"), + ] + ) + + +def _make_catalog( + existent=None, non_existent=None, no_exists_method=None, feed_dict=None +): + """Creates a catalog of existent and non-existent DataSets.""" + existent = [] if existent is None else existent + non_existent = [] if non_existent is None else non_existent + no_exists_method = [] if no_exists_method is None else no_exists_method + + catalog = DataCatalog(feed_dict=feed_dict) + for source in existent: + catalog.add(source, LambdaDataSet(None, None, lambda: True)) + for source in non_existent: + catalog.add(source, LambdaDataSet(None, None, lambda: False)) + # Some LambdaDataSet do not have exists() method + for source in no_exists_method: + catalog.add(source, LambdaDataSet(None, None)) + return catalog + + +def _pipelines_equal(pipe1, pipe2): + return set(pipe1.nodes) == set(pipe2.nodes) + + +def _pipeline_contains(pipe, nodes): + return set(nodes) == {n.name for n in pipe.nodes} + + +def _from_missing(pipeline, catalog): + """Create a new pipeline based on missing outputs.""" + name = "kedro.runner.runner.AbstractRunner.run" + with mock.patch(name) as run: + SequentialRunner().run_only_missing(pipeline, catalog) + _, args, _ = run.mock_calls[0] + new_pipeline = args[0] + return new_pipeline + + +class TestPipelineMissing: + def test_all_missing(self, branched_pipeline): + catalog = _make_catalog(non_existent=["A", "B", "C", "D", "E", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipelines_equal(branched_pipeline, new_pipeline) + + def test_none_missing(self, branched_pipeline): + catalog = _make_catalog(existent=["A", "B", "C", "D", "E", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, []) + + def test_none_missing_feeddict_only(self, branched_pipeline): + feed_dict = {"A": 1, "B": 2, "C": 3, "D": 4, "E": 5, "F": 6} + catalog = _make_catalog(feed_dict=feed_dict) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, []) + + def test_first_missing(self, branched_pipeline): + """combine from B and C is missing.""" + catalog = _make_catalog(non_existent=["B", "C"], existent=["A", "D", "E", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipelines_equal(branched_pipeline, new_pipeline) + + def test_only_left_missing(self, branched_pipeline): + catalog = _make_catalog(non_existent=["B"], existent=["A", "C", "D", "E", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains( + new_pipeline, ["left in", "combine", "split", "right out"] + ) + + def test_last_missing(self, branched_pipeline): + """r-out from F is missing.""" + catalog = _make_catalog(non_existent=["F"], existent=["A", "B", "C", "D", "E"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, ["split", "right out"]) + + def test_missing_and_no_exists(self, branched_pipeline, caplog): + """If F doesn't have exists(), F is treated as missing.""" + catalog = _make_catalog( + existent=["A", "B", "C", "D", "E"], no_exists_method=["F"] + ) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, ["split", "right out"]) + + log_record = caplog.records[0] + assert log_record.levelname == "WARNING" + assert "`exists()` not implemented for `F`" in log_record.getMessage() + + def test_all_no_exists_method(self, branched_pipeline, caplog): + catalog = _make_catalog(no_exists_method=["A", "B", "C", "D", "E", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipelines_equal(branched_pipeline, new_pipeline) + + log_msgs = [record.getMessage() for record in caplog.records] + for name in ["B", "C", "D", "E", "F"]: + expected_msg = ( + "`exists()` not implemented for `{}`. " + "Assuming output does not exist.".format(name) + ) + assert expected_msg in log_msgs + + def test_catalog_and_feed_dict(self, branched_pipeline): + """Mix of feed_dict and non-existent F.""" + catalog = _make_catalog(non_existent=["F"], existent=["D", "E"]) + catalog.add_feed_dict({"A": 1, "B": 2, "C": 3}) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, ["split", "right out"]) + + +class TestPipelineUnregistered: + def test_propagate_up(self, branched_pipeline): + """If a node needs to be rerun and requires unregistered (node-to-node) + inputs, all necessary upstream nodes should be added. + """ + catalog = _make_catalog(existent=["A"], non_existent=["E"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains( + new_pipeline, ["left in", "right in", "combine", "split"] + ) + + def test_propagate_down_then_up(self, branched_pipeline): + """Unregistered (node-to-node) inputs for downstream nodes + should be included, too. + """ + catalog = _make_catalog(existent=["A", "D", "E"], non_existent=["C"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipelines_equal(branched_pipeline, new_pipeline) + + def test_ignore_unneccessary_unreg(self, branched_pipeline): + """Unregistered (node-to-node) data sources should not trigger + reruns, unless necessary to recreate registered data sources. + """ + catalog = _make_catalog(existent=["A", "E", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, []) + + def test_partial_propagation(self, branched_pipeline): + """Unregistered (node-to-node) data sources should not trigger + reruns, unless necessary to recreate registered data sources. + """ + catalog = _make_catalog(existent=["A", "D"], no_exists_method=["F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, ["split", "right out"]) + + def test_partial_non_existent_propagation(self, branched_pipeline): + """A non existent data set whose node has one unregistered input + and one existent input should be recalculated correctly. + """ + catalog = _make_catalog(existent=["A", "C", "E", "F"], non_existent=["D"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains( + new_pipeline, ["left in", "combine", "split", "right out"] + ) + + def test_free_output(self, branched_pipeline): + """Free outputs are the only unregistered data sources that + should trigger runs. + """ + catalog = _make_catalog(existent=["A", "B", "C", "F"]) + new_pipeline = _from_missing(branched_pipeline, catalog) + assert _pipeline_contains(new_pipeline, ["combine", "split"]) diff --git a/tests/runner/__init__.py b/tests/runner/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/runner/test_parallel_runner.py b/tests/runner/test_parallel_runner.py new file mode 100644 index 0000000000..ebe2026099 --- /dev/null +++ b/tests/runner/test_parallel_runner.py @@ -0,0 +1,176 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +from multiprocessing.managers import BaseProxy + +import pytest + +from kedro.io import DataCatalog, DataSetError, LambdaDataSet, MemoryDataSet +from kedro.pipeline import Pipeline, node +from kedro.pipeline.decorators import log_time +from kedro.runner import ParallelRunner + + +def identity(input1: str): + return input1 # pragma: no cover + + +def fan_in(*args): + return args + + +def exception_fn(arg): + raise Exception("test exception") + + +def null(arg): + arg = None + return arg + + +@pytest.fixture +def catalog(): + return DataCatalog() + + +@pytest.fixture +def fan_out_fan_in(): + return Pipeline( + [ + node(identity, "A", "B"), + node(identity, "B", "C"), + node(identity, "B", "D"), + node(identity, "B", "E"), + node(fan_in, ["C", "D", "E"], "Z"), + ] + ) + + +class TestValidParallelRunner: + def test_create_default_data_set(self): + # data_set is a proxy to a dataset in another process. + data_set = ParallelRunner().create_default_data_set("", 0) + assert isinstance(data_set, BaseProxy) + + def test_parallel_run(self, fan_out_fan_in, catalog): + catalog.add_feed_dict(dict(A=42)) + result = ParallelRunner().run(fan_out_fan_in, catalog) + assert "Z" in result + assert len(result["Z"]) == 3 + assert result["Z"] == (42, 42, 42) + + def test_memory_data_set_input(self, fan_out_fan_in): + pipeline = Pipeline([fan_out_fan_in]) + catalog = DataCatalog({"A": MemoryDataSet("42")}) + result = ParallelRunner().run(pipeline, catalog) + assert "Z" in result + assert len(result["Z"]) == 3 + assert result["Z"] == ("42", "42", "42") + + +class TestInvalidParallelRunner: + def test_task_validation(self, fan_out_fan_in, catalog): + """ParallelRunner cannot serialize the lambda function.""" + catalog.add_feed_dict(dict(A=42)) + pipeline = Pipeline([fan_out_fan_in, node(lambda x: x, "Z", "X")]) + with pytest.raises(AttributeError): + ParallelRunner().run(pipeline, catalog) + + def test_task_exception(self, fan_out_fan_in, catalog): + catalog.add_feed_dict(feed_dict=dict(A=42)) + pipeline = Pipeline([fan_out_fan_in, node(exception_fn, "Z", "X")]) + with pytest.raises(Exception, match="test exception"): + ParallelRunner().run(pipeline, catalog) + + def test_memory_data_set_output(self, fan_out_fan_in): + """ParallelRunner does not support output to externally + created MemoryDataSets. + """ + pipeline = Pipeline([fan_out_fan_in]) + catalog = DataCatalog({"C": MemoryDataSet()}, dict(A=42)) + with pytest.raises(AttributeError, match="['C']"): + ParallelRunner().run(pipeline, catalog) + + def test_node_returning_none(self): + pipeline = Pipeline([node(identity, "A", "B"), node(null, "B", "C")]) + catalog = DataCatalog({"A": MemoryDataSet("42")}) + pattern = "Saving `None` to a `DataSet` is not allowed" + with pytest.raises(DataSetError, match=pattern): + ParallelRunner().run(pipeline, catalog) + + def test_data_set_not_serializable(self, fan_out_fan_in): + """Data set A cannot be serializable because _load and _save are not + defined in global scope. + """ + + def _load(): + return 0 # pragma: no cover + + def _save(arg): + assert arg == 0 # pragma: no cover + + # Data set A cannot be serialized + catalog = DataCatalog({"A": LambdaDataSet(load=_load, save=_save)}) + + pipeline = Pipeline([fan_out_fan_in]) + with pytest.raises(AttributeError, match="['A']"): + ParallelRunner().run(pipeline, catalog) + + +@log_time +def decorated_identity(*args, **kwargs): + return identity(*args, **kwargs) + + +@pytest.fixture +def decorated_fan_out_fan_in(): + return Pipeline( + [ + node(decorated_identity, "A", "B"), + node(decorated_identity, "B", "C"), + node(decorated_identity, "B", "D"), + node(decorated_identity, "B", "E"), + node(fan_in, ["C", "D", "E"], "Z"), + ] + ) + + +class TestParallelRunnerDecorator: + def test_decorate_pipeline(self, fan_out_fan_in, catalog): + catalog.add_feed_dict(dict(A=42)) + result = ParallelRunner().run(fan_out_fan_in.decorate(log_time), catalog) + assert "Z" in result + assert len(result["Z"]) == 3 + assert result["Z"] == (42, 42, 42) + + def test_decorated_nodes(self, decorated_fan_out_fan_in, catalog): + catalog.add_feed_dict(dict(A=42)) + result = ParallelRunner().run(decorated_fan_out_fan_in, catalog) + assert "Z" in result + assert len(result["Z"]) == 3 + assert result["Z"] == (42, 42, 42) diff --git a/tests/runner/test_sequential_runner.py b/tests/runner/test_sequential_runner.py new file mode 100644 index 0000000000..2774fccc6b --- /dev/null +++ b/tests/runner/test_sequential_runner.py @@ -0,0 +1,194 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-argument +from random import random + +import pandas as pd +import pytest + +from kedro.io import DataCatalog, DataSetError, LambdaDataSet, MemoryDataSet +from kedro.pipeline import Pipeline, node +from kedro.runner import SequentialRunner + + +@pytest.fixture +def memory_catalog(): + ds1 = MemoryDataSet({"data": 42}) + ds2 = MemoryDataSet([1, 2, 3, 4, 5]) + return DataCatalog({"ds1": ds1, "ds2": ds2}) + + +@pytest.fixture +def pandas_df_feed_dict(): + pandas_df = pd.DataFrame({"Name": ["Alex", "Bob"], "Age": [15, 25]}) + return {"ds3": pandas_df} + + +@pytest.fixture +def conflicting_feed_dict(pandas_df_feed_dict): + ds1 = MemoryDataSet({"data": 0}) + ds3 = pandas_df_feed_dict["ds3"] + return {"ds1": ds1, "ds3": ds3} + + +def identity(arg): + return arg + + +def sink(arg): + pass + + +def null(arg): + return None + + +def multi_input_list_output(arg1, arg2): + return [arg1, arg2] + + +@pytest.fixture +def branchless_no_input_pipeline(): + """The pipeline runs in the order A->B->C->D->E.""" + return Pipeline( + [ + node(identity, "D", "E", name="node1"), + node(identity, "C", "D", name="node2"), + node(identity, "A", "B", name="node3"), + node(identity, "B", "C", name="node4"), + node(random, None, "A", name="node5"), + ] + ) + + +@pytest.fixture +def branchless_pipeline(): + return Pipeline( + [ + node(identity, "ds1", "ds2", name="node1"), + node(identity, "ds2", "ds3", name="node2"), + ] + ) + + +@pytest.fixture +def saving_result_pipeline(): + return Pipeline([node(identity, "ds", "dsX")]) + + +@pytest.fixture +def saving_none_pipeline(): + return Pipeline( + [node(random, None, "A"), node(null, "A", "B"), node(identity, "B", "C")] + ) + + +class TestSeqentialRunnerBranchlessPipeline: + def test_no_input_seq(self, branchless_no_input_pipeline): + outputs = SequentialRunner().run(branchless_no_input_pipeline, DataCatalog()) + assert "E" in outputs + assert len(outputs) == 1 + + def test_no_data_sets(self, branchless_pipeline): + catalog = DataCatalog({}, {"ds1": 42}) + outputs = SequentialRunner().run(branchless_pipeline, catalog) + assert "ds3" in outputs + assert outputs["ds3"] == 42 + + def test_no_feed(self, memory_catalog, branchless_pipeline): + outputs = SequentialRunner().run(branchless_pipeline, memory_catalog) + assert "ds3" in outputs + assert outputs["ds3"]["data"] == 42 + + def test_node_returning_none(self, saving_none_pipeline): + pattern = "Saving `None` to a `DataSet` is not allowed" + with pytest.raises(DataSetError, match=pattern): + SequentialRunner().run(saving_none_pipeline, DataCatalog()) + + def test_result_saved_not_returned(self, saving_result_pipeline): + """The pipeline runs ds->dsX but save does not save the output.""" + + def _load(): + return 0 + + def _save(arg): + assert arg == 0 + + catalog = DataCatalog( + { + "ds": LambdaDataSet(load=_load, save=_save), + "dsX": LambdaDataSet(load=_load, save=_save), + } + ) + output = SequentialRunner().run(saving_result_pipeline, catalog) + assert output == {} + + +@pytest.fixture +def unfinished_outputs_pipeline(): + return Pipeline( + [ + node(identity, dict(arg="ds4"), "ds8", name="node1"), + node(sink, "ds7", None, name="node2"), + node(multi_input_list_output, ["ds3", "ds4"], ["ds6", "ds7"], name="node3"), + node(identity, "ds2", "ds5", name="node4"), + node(identity, "ds1", "ds4", name="node5"), + ] + ) # Outputs: ['ds8', 'ds5', 'ds6'] == ['ds1', 'ds2', 'ds3'] + + +class TestSeqentialRunnerBranchedPipeline: + def test_input_seq( + self, memory_catalog, unfinished_outputs_pipeline, pandas_df_feed_dict + ): + memory_catalog.add_feed_dict(pandas_df_feed_dict, replace=True) + outputs = SequentialRunner().run(unfinished_outputs_pipeline, memory_catalog) + assert set(outputs.keys()) == {"ds8", "ds5", "ds6"} + # the pipeline runs ds2->ds5 + assert outputs["ds5"] == [1, 2, 3, 4, 5] + assert isinstance(outputs["ds8"], dict) + # the pipeline runs ds1->ds4->ds8 + assert outputs["ds8"]["data"] == 42 + # the pipline runs ds3 + assert isinstance(outputs["ds6"], pd.DataFrame) + + def test_conflict_feed_catalog( + self, memory_catalog, unfinished_outputs_pipeline, conflicting_feed_dict + ): + """ds1 and ds3 will be replaced with new inputs.""" + memory_catalog.add_feed_dict(conflicting_feed_dict, replace=True) + outputs = SequentialRunner().run(unfinished_outputs_pipeline, memory_catalog) + assert isinstance(outputs["ds8"], dict) + assert outputs["ds8"]["data"] == 0 + assert isinstance(outputs["ds6"], pd.DataFrame) + + def test_unsatisfied_inputs(self, unfinished_outputs_pipeline): + """ds1, ds2 and ds3 were not specified.""" + with pytest.raises(ValueError, match=r"not found in the DataCatalog"): + SequentialRunner().run(unfinished_outputs_pipeline, DataCatalog()) diff --git a/tests/test_cli_logging_setup.py b/tests/test_cli_logging_setup.py new file mode 100644 index 0000000000..2dcaaf8e70 --- /dev/null +++ b/tests/test_cli_logging_setup.py @@ -0,0 +1,52 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module contains unit tests for methods in the Kedro __init__.py +""" + +import logging + +from kedro.config.default_logger import LOGGING_CONFIG + + +def test_cli_logging_setup(): + def to_names(handlers): + return [h.name for h in handlers] + + assert LOGGING_CONFIG is not None + + # Check root logger is set up correctly + root_handler_names = to_names(logging.getLogger().handlers) + all_handlers = ["console", "info_file_handler", "error_file_handler"] + intersection = set(root_handler_names).intersection(all_handlers) + assert len(intersection) == 3 + + # check cli logger is set up correctly + cli_handlers = to_names(logging.getLogger("kedro.cli").handlers) + assert len(cli_handlers) == 1 + assert "console" in cli_handlers diff --git a/tests/test_contrib_module.py b/tests/test_contrib_module.py new file mode 100644 index 0000000000..a53bdd81a8 --- /dev/null +++ b/tests/test_contrib_module.py @@ -0,0 +1,39 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module contains a single unit test to keep the test coverage to a 100% +even if we don't have any modules in the contrib package. +""" + +from types import ModuleType + +from kedro import contrib + + +def test_can_import_contrib(): + assert isinstance(contrib, ModuleType) diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 0000000000..f5e7d9df0f --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,58 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Test a set of helper functions being used across kedro components.""" + +import pytest + +from kedro.utils import load_obj + + +# pylint: disable=too-few-public-methods +class DummyClass: + pass + + +class TestExtractObject: + def test_load_obj(self): + extracted_obj = load_obj("tests.test_utils.DummyClass", "") + assert extracted_obj is DummyClass + + def test_load_obj_default_path(self): + extracted_obj = load_obj("DummyClass", "tests.test_utils") + assert extracted_obj is DummyClass + + def test_load_obj_invalid_attribute(self): + with pytest.raises( + AttributeError, match=r"Object `InvalidClass` cannot be loaded" + ): + load_obj("InvalidClass", "tests.test_utils") + + def test_load_obj_invalid_module(self): + with pytest.raises(ImportError, match=r"No module named 'missing_path'"): + load_obj("InvalidClass", "missing_path") diff --git a/tools/license_and_headers.py b/tools/license_and_headers.py new file mode 100644 index 0000000000..df4070427d --- /dev/null +++ b/tools/license_and_headers.py @@ -0,0 +1,132 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +# (either separately or in combination, “QuantumBlack Trademarks”) are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import glob + +PATHS_REQUIRING_HEADER = ["kedro", "tests"] +LEGAL_HEADER_FILE = "legal_header.txt" +LICENSE_MD = "LICENSE.md" + +RED_COLOR = "\033[0;31m" +NO_COLOR = "\033[0m" + +LICENSE = """Copyright 2018-2019 QuantumBlack Visual Analytics Limited + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +The QuantumBlack Visual Analytics Limited (“QuantumBlack”) name and logo +(either separately or in combination, “QuantumBlack Trademarks”) are +trademarks of QuantumBlack. The License does not grant you any right or +license to the QuantumBlack Trademarks. You may not use the QuantumBlack +Trademarks or any confusingly similar mark as a trademark for your product, +or use the QuantumBlack Trademarks in any other manner that might cause +confusion in the marketplace, including but not limited to in advertising, +on websites, or on software. + +See the License for the specific language governing permissions and +limitations under the License. +""" + + +def files_at_path(path: str): + return glob.glob(path + "/**/*.py", recursive=True) + + +def files_missing_substring(file_names, substring): + for file_name in file_names: + with open(file_name, "r", encoding="utf-8") as current_file: + content = current_file.read() + + if content.strip() and substring not in content: + yield file_name + + +def main(): + exit_code = 0 + + with open(LEGAL_HEADER_FILE) as header_f: + header = header_f.read() + + # find all .py files recursively + files = [ + new_file for path in PATHS_REQUIRING_HEADER for new_file in files_at_path(path) + ] + + # find all files which do not contain the header and are non-empty + files_with_missing_header = list(files_missing_substring(files, header)) + + # exit with an error and print all files without header in read, if any + if files_with_missing_header: + print( + RED_COLOR + + "The legal header is missing from the following files:\n- " + + "\n- ".join(files_with_missing_header) + + NO_COLOR + + "\nPlease add it by copy-pasting the below:\n\n" + + header + + "\n" + ) + exit_code = 1 + + # check the LICENSE.md exists and has the right contents + try: + files = list(files_missing_substring([LICENSE_MD], LICENSE)) + if files: + print( + RED_COLOR + + "Please make sure the LICENSE.md file " + + "at the root of the project " + + "has the right contents." + + NO_COLOR + ) + exit(1) + except IOError: + print( + RED_COLOR + "Please add the LICENSE.md file at the root of the project " + "with the appropriate contents." + NO_COLOR + ) + exit(1) + + # if it doesn't exist, send a notice + exit(exit_code) + + +if __name__ == "__main__": + main()