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even lighter

even lighter #264

Workflow file for this run

.github/workflows/ci.yml at fcc275a
name: ci
on:
pull_request:
paths:
# NOTE: keep these paths in sync with the paths that trigger the
# fuzzydata Github Actions in .github/workflows/fuzzydata-test.yml
- .github/workflows/**
- .github/actions/**
- '!.github/workflows/push-to-master.yml'
- asv_bench/**
- modin/**
- requirements/**
- scripts/**
- environment-dev.yml
- requirements-dev.txt
- setup.cfg
- setup.py
- versioneer.py
push:
concurrency:
# Cancel other jobs in the same branch. We don't care whether CI passes
# on old commits.
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}
env:
MODIN_GITHUB_CI: true
jobs:
# lint-black-isort:
# name: lint (black and isort)
# runs-on: ubuntu-latest
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/python-only
# - run: pip install black isort>=5.12
# # NOTE: keep the black command here in sync with the pre-commit hook in
# # /contributing/pre-commit
# - run: black --check --diff modin/ asv_bench/benchmarks scripts/doc_checker.py
# - run: isort . --check-only
# lint-mypy:
# name: lint (mypy)
# runs-on: ubuntu-latest
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/python-only
# - run: pip install -r requirements-dev.txt
# - run: mypy --config-file mypy.ini
# lint-flake8:
# name: lint (flake8)
# runs-on: ubuntu-latest
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/python-only
# # NOTE: If you are changing the set of packages installed here, make sure that
# # the dev requirements match them.
# - run: pip install flake8 flake8-print flake8-no-implicit-concat
# # NOTE: keep the flake8 command here in sync with the pre-commit hook in
# # /contributing/pre-commit
# - run: flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
# test-api-and-no-engine:
# name: Test API, headers and no-engine mode
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: requirements/requirements-no-engine.yml
# - run: python -m pytest modin/pandas/test/test_api.py
# - run: python -m pytest modin/test/test_executions_api.py
# - run: python -m pytest modin/test/test_headers.py
# - run: python -m pytest modin/core/execution/dispatching/factories/test/test_dispatcher.py::test_add_option
# - uses: ./.github/actions/upload-coverage
# test-clean-install:
# needs: [lint-flake8, lint-black-isort]
# strategy:
# matrix:
# os:
# - ubuntu
# - windows
# runs-on: ${{ matrix.os }}-latest
# defaults:
# run:
# shell: bash -l {0}
# name: test-clean-install-${{ matrix.os }}
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/python-only
# - run: python -m pip install -e ".[all]"
# - name: Ensure all engines start up
# run: |
# MODIN_ENGINE=dask python -c "import modin.pandas as pd; print(pd.DataFrame([1,2,3]))"
# MODIN_ENGINE=ray python -c "import modin.pandas as pd; print(pd.DataFrame([1,2,3]))"
# MODIN_ENGINE=unidist UNIDIST_BACKEND=mpi mpiexec -n 1 python -c "import modin.pandas as pd; print(pd.DataFrame([1,2,3]))"
test-internals:
runs-on: ubuntu-latest
defaults:
run:
shell: bash -l {0}
name: test-internals
steps:
- uses: actions/checkout@v3
- uses: ./.github/actions/mamba-env
with:
environment-file: environment-dev.yml
- name: Internals tests
run: python -m pytest modin/core/execution/dispatching/factories/test/test_dispatcher.py
# - run: python -m pytest modin/config/test
# - run: python -m pytest modin/test/test_envvar_catcher.py
# - run: python -m pytest modin/test/storage_formats/base/test_internals.py
# - run: python -m pytest modin/test/storage_formats/pandas/test_internals.py
- run: python -m pytest modin/test/test_envvar_npartitions.py
- run: python -m pytest modin/test/test_utils.py
- run: python -m pytest asv_bench/test/test_utils.py
- run: python -m pytest modin/test/interchange/dataframe_protocol/base
- run: python -m pytest modin/test/test_logging.py
- uses: ./.github/actions/upload-coverage
# test-defaults:
# needs: [lint-flake8, lint-black-isort]
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# strategy:
# matrix:
# execution: [BaseOnPython]
# env:
# MODIN_TEST_DATASET_SIZE: "small"
# name: Test ${{ matrix.execution }} execution, Python 3.9
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: environment-dev.yml
# - name: Install HDF5
# run: sudo apt update && sudo apt install -y libhdf5-dev
# - name: xgboost tests
# run: |
# # TODO(https://github.com/modin-project/modin/issues/5194): Uncap xgboost
# # when we use collective instead of rabit.
# mamba install "xgboost>=1.7.1,<2.0.0" scikit-learn -c conda-forge
# python -m pytest modin/experimental/xgboost/test/test_default.py --execution=${{ matrix.execution }}
# - run: python -m pytest -n 2 modin/test/storage_formats/base/test_internals.py --execution=${{ matrix.execution }}
# - uses: ./.github/actions/run-core-tests
# with:
# runner: python -m pytest --execution=${{ matrix.execution }}
# - uses: ./.github/actions/upload-coverage
# test-hdk:
# needs: [lint-flake8, lint-black-isort]
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# env:
# MODIN_EXPERIMENTAL: "True"
# MODIN_ENGINE: "native"
# MODIN_STORAGE_FORMAT: "hdk"
# name: Test HDK storage format, Python 3.9
# services:
# moto:
# image: motoserver/moto
# ports:
# - 5000:5000
# env:
# AWS_ACCESS_KEY_ID: foobar_key
# AWS_SECRET_ACCESS_KEY: foobar_secret
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: requirements/env_hdk.yml
# activate-environment: modin_on_hdk
# - name: Install HDF5
# run: sudo apt update && sudo apt install -y libhdf5-dev
# - run: python -m pytest modin/test/storage_formats/hdk/test_internals.py
# - run: python -m pytest modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_init.py
# - run: python -m pytest modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_dataframe.py
# - run: python -m pytest modin/experimental/core/execution/native/implementations/hdk_on_native/test/test_utils.py
# - run: python -m pytest modin/pandas/test/test_io.py --verbose
# - run: python -m pytest modin/test/interchange/dataframe_protocol/test_general.py
# - run: python -m pytest modin/test/interchange/dataframe_protocol/hdk
# - run: python -m pytest modin/experimental/sql/test/test_sql.py
# - run: python -m pytest modin/pandas/test/test_concat.py
# - run: python -m pytest modin/pandas/test/dataframe/test_binary.py
# - run: python -m pytest modin/pandas/test/dataframe/test_reduce.py
# - run: python -m pytest modin/pandas/test/dataframe/test_join_sort.py
# - run: python -m pytest modin/pandas/test/test_general.py
# - run: python -m pytest modin/pandas/test/dataframe/test_indexing.py
# - run: python -m pytest modin/pandas/test/test_series.py
# - run: python -m pytest modin/pandas/test/dataframe/test_map_metadata.py
# - run: python -m pytest modin/pandas/test/dataframe/test_window.py
# - run: python -m pytest modin/pandas/test/dataframe/test_default.py
# - run: python examples/docker/modin-hdk/census-hdk.py examples/data/census_1k.csv -no-ml
# - run: python examples/docker/modin-hdk/nyc-taxi-hdk.py examples/data/nyc-taxi_1k.csv
# - run: |
# python examples/docker/modin-hdk/plasticc-hdk.py \
# examples/data/plasticc_training_set_1k.csv \
# examples/data/plasticc_test_set_1k.csv \
# examples/data/plasticc_training_set_metadata_1k.csv \
# examples/data/plasticc_test_set_metadata_1k.csv \
# -no-ml
# - uses: ./.github/actions/upload-coverage
# test-asv-benchmarks:
# if: github.event_name == 'pull_request'
# needs: [lint-flake8, lint-black-isort]
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# env:
# MODIN_ENGINE: ray
# MODIN_MEMORY: 1000000000
# MODIN_TEST_DATASET_SIZE: small
# name: test-asv-benchmarks
# steps:
# - uses: actions/checkout@v3
# with:
# fetch-depth: 1
# - uses: conda-incubator/setup-miniconda@v2
# with:
# auto-activate-base: true
# activate-environment: ""
# miniforge-variant: Mambaforge
# miniforge-version: latest
# use-mamba: true
# - name: ASV installation
# run: pip install asv==0.5.1
# - name: Running benchmarks
# run: |
# git remote add upstream https://github.com/modin-project/modin.git
# git fetch upstream
# if git diff upstream/master --name-only | grep -q "^asv_bench/"; then
# # ASV correctly creates environments for testing only from the branch
# # with `master` name
# git checkout -b master
# cd asv_bench
# asv check -v
# asv machine --yes
# # check Modin on Ray
# asv run --quick --strict --show-stderr --launch-method=spawn \
# -b ^benchmarks -b ^io -b ^scalability | tee benchmarks.log
# # check pure pandas
# MODIN_ASV_USE_IMPL=pandas asv run --quick --strict --show-stderr --launch-method=spawn \
# -b ^benchmarks -b ^io | tee benchmarks.log
# # Otherwise, ASV considers that the environment has already been created, although ASV command is run for another config,
# # which requires the creation of a completely new environment. This step will be required after removing the manual environment setup step.
# rm -f -R .asv/env/
# # TODO: Remove manual environment creation after fix https://github.com/airspeed-velocity/asv/issues/1310
# mamba env create -f ../requirements/env_hdk.yml
# conda activate modin_on_hdk
# pip install asv==0.5.1
# pip install ..
# # check Modin on HDK
# MODIN_ENGINE=native MODIN_STORAGE_FORMAT=hdk MODIN_EXPERIMENTAL=true asv run --quick --strict --show-stderr \
# --launch-method=forkserver --python=same --config asv.conf.hdk.json \
# -b ^hdk | tee benchmarks.log
# else
# echo "Benchmarks did not run, no changes detected"
# fi
# if: always()
# - name: Publish benchmarks artifact
# uses: actions/upload-artifact@master
# with:
# name: Benchmarks log
# path: asv_bench/benchmarks.log
# if: failure()
# execution-filter:
# # see if execution backend-specific changes were made
# runs-on: ubuntu-latest
# outputs:
# ray: ${{ steps.filter.outputs.ray }}
# dask: ${{ steps.filter.outputs.dask }}
# unidist: ${{ steps.filter.outputs.unidist }}
# engines: ${{ steps.engines.outputs.engines }}
# experimental: ${{ steps.experimental.outputs.experimental }}
# steps:
# - uses: actions/checkout@v3
# - uses: dorny/paths-filter@v2
# id: filter
# with:
# filters: |
# shared: &shared
# - 'modin/core/execution/dispatching/**'
# ray:
# - *shared
# - 'modin/core/execution/ray/**'
# dask:
# - *shared
# - 'modin/core/execution/dask/**'
# unidist:
# - *shared
# - 'modin/core/execution/unidist/**'
# experimental:
# - 'modin/experimental/**'
# - uses: actions/setup-python@v4
# - id: engines
# run: |
# python -c "import sys, json; print('engines=' + json.dumps(['python'] + (sys.argv[1] == 'true' and ['ray'] or []) + (sys.argv[2] == 'true' and ['dask'] or []) ))" \
# "${{ steps.filter.outputs.ray }}" "${{ steps.filter.outputs.dask }}" >> $GITHUB_OUTPUT
# test-all-unidist:
# needs: [lint-flake8, lint-black-isort, execution-filter]
# if: github.event_name == 'push' || needs.execution-filter.outputs.unidist == 'true'
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# strategy:
# matrix:
# python-version: ["3.9"]
# unidist-backend: ["mpi"]
# env:
# MODIN_ENGINE: "Unidist"
# UNIDIST_BACKEND: ${{matrix.unidist-backend}}
# # Only test reading from SQL server and postgres on ubuntu for now.
# # Eventually, we should test on Windows, too, but we will have to set up
# # the servers differently.
# MODIN_TEST_READ_FROM_SQL_SERVER: true
# MODIN_TEST_READ_FROM_POSTGRES: true
# name: test-ubuntu (engine unidist ${{matrix.unidist-backend}}, python ${{matrix.python-version}})
# services:
# moto:
# image: motoserver/moto
# ports:
# - 5000:5000
# env:
# AWS_ACCESS_KEY_ID: foobar_key
# AWS_SECRET_ACCESS_KEY: foobar_secret
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: requirements/env_unidist_linux.yml
# activate-environment: modin_on_unidist
# python-version: ${{matrix.python-version}}
# - name: Install HDF5
# run: sudo apt update && sudo apt install -y libhdf5-dev
# - name: Set up postgres
# # Locally, specifying port 2345:5432 works, but 2345:2345 and 5432:5432 do not. This solution is from
# # https://stackoverflow.com/questions/36415654/cant-connect-docker-postgresql-9-3
# run: |
# sudo docker pull postgres
# sudo docker run --name some-postgres -e POSTGRES_USER=sa -e POSTGRES_PASSWORD=Strong.Pwd-123 -e POSTGRES_DB=postgres -d -p 2345:5432 postgres
# - run: mpiexec -n 1 python -m pytest modin/pandas/test/internals/test_benchmark_mode.py
# - run: mpiexec -n 1 python -m pytest modin/pandas/test/internals/test_repartition.py
# - run: mpiexec -n 1 python -m pytest modin/test/test_partition_api.py
# - uses: ./.github/actions/run-core-tests
# with:
# runner: mpiexec -n 1 python -m pytest
# parallel: ""
# - run: mpiexec -n 1 python -m pytest modin/numpy/test
# - run: chmod +x ./.github/workflows/sql_server/set_up_sql_server.sh
# - run: ./.github/workflows/sql_server/set_up_sql_server.sh
# # need an extra argument "genv" to set environment variables for mpiexec. We need
# # these variables to test writing to the mock s3 filesystem.
# - run: mpiexec -n 1 -genv AWS_ACCESS_KEY_ID foobar_key -genv AWS_SECRET_ACCESS_KEY foobar_secret python -m pytest modin/pandas/test/test_io.py --verbose
# - run: mpiexec -n 1 python -m pytest modin/experimental/pandas/test/test_io_exp.py
# - run: mpiexec -n 1 python -m pytest modin/experimental/sql/test/test_sql.py
# - run: mpiexec -n 1 python -m pytest modin/test/interchange/dataframe_protocol/test_general.py
# - run: mpiexec -n 1 python -m pytest modin/test/interchange/dataframe_protocol/pandas/test_protocol.py
# - run: |
# python -m pip install lazy_import
# mpiexec -n 1 python -m pytest modin/pandas/test/integrations/
# - uses: ./.github/actions/upload-coverage
# test-all:
# needs: [lint-flake8, lint-black-isort, execution-filter]
# strategy:
# matrix:
# os:
# - ubuntu
# - windows
# python-version: ["3.9"]
# engine: ${{ fromJSON( github.event_name == 'push' && '["python", "ray", "dask"]' || needs.execution-filter.outputs.engines ) }}
# test_task:
# - group_1
# - group_2
# - group_3
# - group_4
# exclude: # python engine only have one task group that contains all the tests
# - engine: "python"
# test_task: "group_2"
# - engine: "python"
# test_task: "group_3"
# - engine: "python"
# test_task: "group_4"
# runs-on: ${{ matrix.os }}-latest
# defaults:
# run:
# shell: bash -l {0}
# env:
# MODIN_ENGINE: ${{matrix.engine}}
# # Only test reading from SQL server and postgres on ubuntu for now.
# # Eventually, we should test on Windows, too, but we will have to set up
# # the servers differently.
# MODIN_TEST_READ_FROM_SQL_SERVER: ${{ matrix.os == 'ubuntu' }}
# MODIN_TEST_READ_FROM_POSTGRES: ${{ matrix.os == 'ubuntu' }}
# name: test-${{ matrix.os }} (engine ${{matrix.engine}}, python ${{matrix.python-version}}, ${{matrix.test_task}})
# services:
# # Using workaround https://github.com/actions/runner/issues/822#issuecomment-1524826092
# moto:
# # we only need moto service on Ubuntu and for group_4 task or python engine
# image: ${{ (matrix.os == 'ubuntu' && (matrix.engine == 'python' || matrix.test_task == 'group_4')) && 'motoserver/moto' || '' }}
# ports:
# - 5000:5000
# env:
# AWS_ACCESS_KEY_ID: foobar_key
# AWS_SECRET_ACCESS_KEY: foobar_secret
# steps:
# - name: Limit ray memory
# run: echo "MODIN_MEMORY=1000000000" >> $GITHUB_ENV
# if: matrix.os == 'ubuntu' && matrix.engine == 'ray'
# - name: Tell Modin to use existing ray cluster
# run: echo "MODIN_RAY_CLUSTER=True" >> $GITHUB_ENV
# if: matrix.os == 'windows' && matrix.engine == 'ray'
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: environment-dev.yml
# python-version: ${{matrix.python-version}}
# - name: Start local ray cluster
# # Try a few times to start ray to work around
# # https://github.com/modin-project/modin/issues/4562
# uses: nick-fields/retry@v2
# with:
# timeout_minutes: 5
# max_attempts: 5
# command: ray start --head --port=6379 --object-store-memory=1000000000
# if: matrix.os == 'windows' && matrix.engine == 'ray'
# - name: Install HDF5
# run: sudo apt update && sudo apt install -y libhdf5-dev
# if: matrix.os == 'ubuntu'
# - name: Set up postgres
# # Locally, specifying port 2345:5432 works, but 2345:2345 and 5432:5432 do not. This solution is from
# # https://stackoverflow.com/questions/36415654/cant-connect-docker-postgresql-9-3
# run: |
# sudo docker pull postgres
# sudo docker run --name some-postgres -e POSTGRES_USER=sa -e POSTGRES_PASSWORD=Strong.Pwd-123 -e POSTGRES_DB=postgres -d -p 2345:5432 postgres
# if: matrix.os == 'ubuntu'
# - run: python -m pytest modin/pandas/test/internals/test_benchmark_mode.py
# if: matrix.engine == 'python' || matrix.test_task == 'group_1'
# - run: python -m pytest modin/pandas/test/internals/test_repartition.py
# if: matrix.engine == 'python' || matrix.test_task == 'group_1'
# - run: python -m pytest modin/test/test_partition_api.py
# if: matrix.engine != 'python' && matrix.test_task == 'group_1'
# - name: xgboost tests
# run: |
# # TODO(https://github.com/modin-project/modin/issues/5194): Uncap xgboost
# # when we use collective instead of rabit.
# mamba install "xgboost>=1.7.1,<2.0.0" scikit-learn -c conda-forge
# python -m pytest -n 2 \
# modin/experimental/xgboost/test/test_default.py \
# modin/experimental/xgboost/test/test_xgboost.py \
# modin/experimental/xgboost/test/test_dmatrix.py
# if: matrix.os != 'windows' && matrix.test_task == 'group_1'
# - run: python -m pytest -n 2 modin/experimental/batch/test/test_pipeline.py
# if: matrix.engine == 'python' || matrix.test_task == 'group_1'
# - uses: ./.github/actions/run-core-tests/group_1
# if: matrix.engine == 'python' || matrix.test_task == 'group_1'
# - uses: ./.github/actions/run-core-tests/group_2
# if: matrix.engine == 'python' || matrix.test_task == 'group_2'
# - uses: ./.github/actions/run-core-tests/group_3
# if: matrix.engine == 'python' || matrix.test_task == 'group_3'
# - uses: ./.github/actions/run-core-tests/group_4
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - run: python -m pytest -n 2 modin/numpy/test
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - run: chmod +x ./.github/workflows/sql_server/set_up_sql_server.sh
# if: matrix.os == 'ubuntu' && (matrix.engine == 'python' || matrix.test_task == 'group_4')
# - run: ./.github/workflows/sql_server/set_up_sql_server.sh
# if: matrix.os == 'ubuntu' && (matrix.engine == 'python' || matrix.test_task == 'group_4')
# # Do not add parallelism (`-n` argument) here - it will cause mock S3 service to fail.
# - run: python -m pytest modin/pandas/test/test_io.py --verbose
# timeout-minutes: 60
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - run: python -m pytest modin/experimental/pandas/test/test_io_exp.py
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - run: python -m pytest modin/experimental/sql/test/test_sql.py
# if: matrix.os == 'ubuntu' && (matrix.engine == 'python' || matrix.test_task == 'group_4')
# - run: python -m pytest modin/test/interchange/dataframe_protocol/test_general.py
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - run: python -m pytest modin/test/interchange/dataframe_protocol/pandas/test_protocol.py
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - run: |
# python -m pip install lazy_import
# python -m pytest modin/pandas/test/integrations/
# if: matrix.engine == 'python' || matrix.test_task == 'group_4'
# - uses: ./.github/actions/upload-coverage
# - name: Stop local ray cluster
# run: ray stop
# if: matrix.os == 'windows' && matrix.engine == 'ray'
# - name: Rename the dirs with conda packages so it won't be deleted, it's too slow on Windows.
# run: |
# mkdir -p "${CONDA_PKGS_DIR}_do_not_cache" && \
# find "${CONDA_PKGS_DIR}" -mindepth 1 -maxdepth 1 -type d -exec mv {} "${CONDA_PKGS_DIR}_do_not_cache" \;
# if: matrix.os == 'windows'
# test-sanity:
# needs: [lint-flake8, lint-black-isort, execution-filter]
# if: github.event_name == 'pull_request'
# strategy:
# matrix:
# os:
# - ubuntu
# - windows
# python-version: ["3.9"]
# execution:
# - name: ray
# shell-ex: "python -m pytest"
# if: needs.execution-filter.ray != 'true'
# - name: dask
# shell-ex: "python -m pytest"
# if: needs.execution-filter.dask != 'true'
# - name: unidist
# shell-ex: "mpiexec -n 1 -genv AWS_ACCESS_KEY_ID foobar_key -genv AWS_SECRET_ACCESS_KEY foobar_secret python -m pytest"
# if: needs.execution-filter.unidist != 'true'
# runs-on: ${{ matrix.os }}-latest
# defaults:
# run:
# shell: bash -l {0}
# env:
# MODIN_ENGINE: ${{ matrix.execution.name }}
# UNIDIST_BACKEND: "mpi"
# PARALLEL: ${{ matrix.execution.name != 'unidist' && matrix.os != 'windows' && '-n 2' || '' }}
# name: test-${{ matrix.os }}-sanity (engine ${{ matrix.execution.name }}, python ${{matrix.python-version}})
# services:
# moto:
# image: ${{ matrix.os != 'windows' && 'motoserver/moto' || '' }}
# ports:
# - 5000:5000
# env:
# AWS_ACCESS_KEY_ID: foobar_key
# AWS_SECRET_ACCESS_KEY: foobar_secret
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: ${{ matrix.os == 'ubuntu' && matrix.execution.name == 'unidist' && 'requirements/env_unidist_linux.yml' || matrix.os == 'windows' && matrix.execution.name == 'unidist' && 'requirements/env_unidist_win.yml' || 'environment-dev.yml' }}
# activate-environment: ${{ matrix.execution.name == 'unidist' && 'modin_on_unidist' || 'modin' }}
# python-version: ${{matrix.python-version}}
# - name: Install HDF5
# run: sudo apt update && sudo apt install -y libhdf5-dev
# if: matrix.os != 'windows'
# - name: Limit ray memory
# run: echo "MODIN_MEMORY=1000000000" >> $GITHUB_ENV
# if: matrix.os != 'windows' && matrix.execution.name == 'ray'
# - name: Tell Modin to use existing ray cluster
# run: echo "MODIN_RAY_CLUSTER=True" >> $GITHUB_ENV
# if: matrix.os == 'windows' && matrix.execution.name == 'ray'
# - name: Start local ray cluster
# # Try a few times to start ray to work around
# # https://github.com/modin-project/modin/issues/4562
# uses: nick-fields/retry@v2
# with:
# timeout_minutes: 5
# max_attempts: 5
# command: ray start --head --port=6379 --object-store-memory=1000000000
# if: matrix.os == 'windows' && matrix.execution.name == 'ray'
# - run: MODIN_BENCHMARK_MODE=True ${{ matrix.execution.shell-ex }} modin/pandas/test/internals/test_benchmark_mode.py
# - run: ${{ matrix.execution.shell-ex }} $PARALLEL modin/pandas/test/internals/test_repartition.py
# - run: ${{ matrix.execution.shell-ex }} $PARALLEL modin/test/test_partition_api.py
# - name: xgboost tests
# run: |
# # TODO(https://github.com/modin-project/modin/issues/5194): Uncap xgboost
# # when we use collective instead of rabit.
# mamba install "xgboost>=1.7.1,<2.0.0" scikit-learn -c conda-forge
# ${{ matrix.execution.shell-ex }} $PARALLEL \
# modin/experimental/xgboost/test/test_default.py \
# modin/experimental/xgboost/test/test_xgboost.py \
# modin/experimental/xgboost/test/test_dmatrix.py
# if: matrix.os != 'windows' && needs.execution-filter.experimental == 'true'
# - run: ${{ matrix.execution.shell-ex }} $PARALLEL modin/experimental/batch/test/test_pipeline.py
# if: matrix.os != 'windows' && matrix.execution.name != 'unidist' && needs.execution-filter.experimental == 'true'
# - name: "test DF: binary, default, iter"
# run: |
# ${{ matrix.execution.shell-ex }} $PARALLEL \
# modin/pandas/test/dataframe/test_binary.py \
# modin/pandas/test/dataframe/test_default.py \
# modin/pandas/test/dataframe/test_iter.py
# if: matrix.os != 'windows'
# - name: "test DF: reduce, udf, window, pickle"
# run: |
# ${{ matrix.execution.shell-ex }} $PARALLEL \
# modin/pandas/test/dataframe/test_reduce.py \
# modin/pandas/test/dataframe/test_udf.py \
# modin/pandas/test/dataframe/test_window.py \
# modin/pandas/test/dataframe/test_pickle.py
# if: matrix.os != 'windows'
# - run: ${{ matrix.execution.shell-ex }} modin/pandas/test/test_series.py
# if: matrix.execution.name == 'ray'
# - run: ${{ matrix.execution.shell-ex }} -m "not exclude_in_sanity" modin/pandas/test/test_series.py
# if: matrix.execution.name != 'ray'
# - run: ${{ matrix.execution.shell-ex }} modin/pandas/test/dataframe/test_map_metadata.py
# if: matrix.execution.name == 'ray'
# - run: ${{ matrix.execution.shell-ex }} -m "not exclude_in_sanity" modin/pandas/test/dataframe/test_map_metadata.py
# if: matrix.execution.name != 'ray'
# - name: "test rolling, expanding, reshape, general, concat"
# run: |
# ${{ matrix.execution.shell-ex }} $PARALLEL \
# modin/pandas/test/test_rolling.py \
# modin/pandas/test/test_expanding.py \
# modin/pandas/test/test_reshape.py \
# modin/pandas/test/test_general.py \
# modin/pandas/test/test_concat.py
# if: matrix.os != 'windows'
# - run: ${{ matrix.execution.shell-ex }} $PARALLEL modin/numpy/test
# - run: ${{ matrix.execution.shell-ex }} -m "not exclude_in_sanity" modin/pandas/test/test_io.py --verbose
# - run: ${{ matrix.execution.shell-ex }} modin/experimental/pandas/test/test_io_exp.py
# - run: ${{ matrix.execution.shell-ex }} $PARALLEL modin/test/interchange/dataframe_protocol/test_general.py
# - run: ${{ matrix.execution.shell-ex }} $PARALLEL modin/test/interchange/dataframe_protocol/pandas/test_protocol.py
# - name: Stop local ray cluster
# run: ray stop
# if: matrix.os == 'windows' && matrix.execution.name == 'ray'
# - name: Rename the dirs with conda packages so it won't be deleted, it's too slow on Windows.
# run: |
# mkdir -p "${CONDA_PKGS_DIR}_do_not_cache" && \
# find "${CONDA_PKGS_DIR}" -mindepth 1 -maxdepth 1 -type d -exec mv {} "${CONDA_PKGS_DIR}_do_not_cache" \;
# if: matrix.os == 'windows'
# - uses: ./.github/actions/upload-coverage
# test-experimental:
# needs: [lint-flake8, lint-black-isort]
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# env:
# MODIN_ENGINE: "python"
# MODIN_EXPERIMENTAL: "True"
# name: test experimental
# services:
# moto:
# image: motoserver/moto
# ports:
# - 5000:5000
# env:
# AWS_ACCESS_KEY_ID: foobar_key
# AWS_SECRET_ACCESS_KEY: foobar_secret
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: environment-dev.yml
# - run: python -m pytest -n 2 modin/pandas/test/dataframe/test_map_metadata.py
# - run: python -m pytest -n 2 modin/pandas/test/test_series.py
# # Do not add parallelism (`-n` argument) here - it will cause mock S3 service to fail.
# - run: python -m pytest modin/pandas/test/test_io.py --verbose
# - uses: ./.github/actions/upload-coverage
# test-pyarrow:
# needs: [lint-flake8, lint-black-isort]
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# strategy:
# matrix:
# python-version: ["3.9"]
# env:
# MODIN_STORAGE_FORMAT: pyarrow
# MODIN_EXPERIMENTAL: "True"
# name: test (pyarrow, python ${{matrix.python-version}})
# services:
# moto:
# image: motoserver/moto
# ports:
# - 5000:5000
# env:
# AWS_ACCESS_KEY_ID: foobar_key
# AWS_SECRET_ACCESS_KEY: foobar_secret
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: environment-dev.yml
# python-version: ${{matrix.python-version}}
# - run: sudo apt update && sudo apt install -y libhdf5-dev
# - run: python -m pytest modin/pandas/test/test_io.py::TestCsv --verbose
# test-spreadsheet:
# needs: [lint-flake8, lint-black-isort]
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# strategy:
# matrix:
# python-version: ["3.9"]
# engine: ["ray", "dask"]
# env:
# MODIN_EXPERIMENTAL: "True"
# MODIN_ENGINE: ${{matrix.engine}}
# name: test-spreadsheet (engine ${{matrix.engine}}, python ${{matrix.python-version}})
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/mamba-env
# with:
# environment-file: environment-dev.yml
# python-version: ${{matrix.python-version}}
# - run: python -m pytest modin/experimental/spreadsheet/test/test_general.py
# upload-coverage:
# needs: [test-internals, test-api-and-no-engine, test-defaults, test-hdk, test-all-unidist, test-all, test-experimental, test-sanity]
# if: always() # we need to run it regardless of some job being skipped, like in PR
# runs-on: ubuntu-latest
# defaults:
# run:
# shell: bash -l {0}
# steps:
# - uses: actions/checkout@v3
# - uses: ./.github/actions/python-only
# - name: Download coverage data
# uses: actions/download-artifact@v3.0.2
# with:
# name: coverage-data
# - run: pip install coverage
# - name: Combine coverage
# run: python -m coverage combine
# - name: Generate coverage report in xml format
# run: python -m coverage xml
# - uses: codecov/codecov-action@v3
# with:
# fail_ci_if_error: ${{ github.event_name == 'push' }} # do not care about uploads in PR