strip-hints

This package provides a command-line command and a corresponding importable function that strips type hints from Python code files. The stripping process leaves runnable code, assuming the rest of the code is runnable in the interpreter version. The program tries to make as few changes as possible to the processed code so that line and column numbers in error messages for the processed code file also correspond to those for the original code file. In most cases, with the default options, both the line and column numbers are preserved.

This program was originally written to strip hints from Python 2 code to allow for developing such code on Python 3 but running it with Python 2. Since Python 2 is no longer maintained the program is no longer tested when run with Python 2 (but it probably still works).

This project also contains a general-purpose class named TokenList which allows lists of Python tokens to be operated on using an interface similar to that of Python strings. In particular, a split method is used for much of the processing in stripping hints. This module could be useful for doing other things with Python at the token level.

Installing the code

To install from PyPI using pip use:

pip install strip-hints

To install the most-recent development version first clone or download the project from this GitHub repository.

Running the code

After installing with pip you can run the console script strip-hints:

strip-hints your_file_with_hints.py

The code runs with Python 2 and Python 3. The processed code is written to stdout. The AST checker that is run on the processed code checks the code against whatever version of Python the script is run with.

The command-line options are as follows:

--outfile (-o)

Write the output to a file with the pathname passed in. Files will be silently overwritten if they already exist. If this argument is omitted the output is written to stdout.

--inplace

Modify the input code file inplace; code will be replaced with the stripped code. This is the same as passing in the code file's name as the output file.

--to-empty

Map removed code to empty strings rather than spaces. This is easier to read, but does not preserve columns. Default is false.

--strip-nl

Also strip non-logical newline tokens inside type hints. These occur, for example, when a type-hint function like List in a function parameter list has line breaks inside its own arguments list. The default is to keep the newline tokens in order to preserve line numbers between the stripped and non-stripped files. Selecting this option no longer guarantees a direct correspondence.

--no-ast

Do not parse the resulting code with the Python ast module to check it. Default is false.

--only-assigns-and-defs

Only strip annotated assignments and standalone type definitions, keeping function signature annotations. Python 3.5 and earlier do not implement these; they first appeared in Python 3.6. The default is false.

--only-test-for-changes

Only test if any changes would be made. If any stripping would be done then it prints True and exits with code 0. Otherwise it prints False and exits with code 1.

--no-colon-move

Do not move colons to fix line breaks that occur in the hints for the function return type. Default is false. See the Limitations section below for more information. Not recommended.

--no-equal-move

Do not move the assignment with = when needed to fix annotated assignments that include newlines in the type hints. When they are moved the total number of lines is kept the same in order to preserve line number correspondence between the stripped and non-stripped files. If this option is selected and such a situation occurs an exception is raised. See the Limitations section below for more information. Not recommended.

If you are using the development repo you can just run the file strip_hints.py in the bin directory of the repo:

python strip_hints.py your_file_with_hints.py

Alternately, you can install the development repo with pip:

cd <pathToMainProjectDirectory>
pip install .  # use -e for development mode

Automatically running on import

A function can be called to automatically strip the type hints from all future imports that are in the same directory as the calling module. For a package the function call can be placed in __init__.py, for example.

The function can be called as follows, with options set as desired (these are the default settings):

from strip_hints import strip_on_import
strip_on_import(__file__, to_empty=False, no_ast=False, no_colon_move=False,
                only_assigns_and_defs=False, py3_also=False)

By default Python 3 code is ignored unless py3_also is set. The first argument is the file path of the calling module.

Calling from a Python program

To strip the comments from a source file from within a Python program, returning a string containing the code, the functional interface is as follows. The option settings here are all the default values:

from strip_hints import strip_file_to_string
code_string = strip_file_to_string(filename, to_empty=False, strip_nl=False,
                                   no_ast=False, no_colon_move=False,
                                   no_equal_move=False,
                                   only_assigns_and_defs=False,
                                   only_test_for_changes=False)

To strip code that is originally in a string, rather than reading from a file, the function strip_string_to_string takes the same arguments as strip_file_to_string except that the first argument is code_string.

If only_test_for_changes is true then a boolean is returned which is true iff some changes would be made.

Limitations

Ordinarily the program simply converts type hints to whitespace and the resulting code is still syntactically correct. There are a couple of situations, though, where further transformations are required to preserve syntactical correctness.

One example is when a line break occurs in the argument list of a type hint in an annotated assignment:

x: List[int,
        int] = [1,2]

The program currently handles this by removing the newlines up to the = sign. Any comments on those lines are also stripped, since otherwise they cause syntax errors. Empty lines are added to the end to keep to total number of lines the same. The --no-equal-move argument turns this off, in which case situations like those above raise exceptions. (As a workaround if necessary to use --no-equal-move, using an explicit backslash line continuation seems to work.)

A similar situation can occur in return type specifications:

def f() -> List[int,
                int]:
    pass

This is handled by moving the colon up to the line with the closing paren. The situation does not occur inside function parameter lists because they are always nested inside parentheses.

The program currently only handles simple annotated expressions (e.g., it handles my_class.x: int and my_list[2]: int but not (x): int).

How it works

Rather than doing a full, roundtrip parse, this module works on the tokens produced by the Python tokenizer. Locating the relevant parts to remove is a much simpler task than parsing a program in full generality. This allows an ad hoc approach based on splitting groups of tokens, taking into account the nesting level of the tokens to potentially split on. Nesting level is based on the level count inside parentheses, brackets, and curly braces.

• The tokenizer for Python 2 also works on code with type hints, as introduced in Python 3.
• Type hints can be removed, in most cases, simply by turning some tokens into whitespace. This preserves line and column numbers in the files. Whiting-out a section of code with a non-nested line break either raises an exception or performs a slightly more-complicated transformation.

In the most basic usage the sequence of tokens originally read from the file is never changed; some tokens just have their string values set to whitespace or to a pound sign before the untokenize operation.

The gory details of the algorithm are discussed in the docstring for strip_hints_main.py. The method should be fairly robust.

Bugs

The code has been run on the Mypy source code and on some other examples, with the results parsed into ASTs and also visually inspected via diff. Some edge cases may well remain to cause problems. There is a Bash script in the test directory which runs the program on files and shows the diffs.

Possible enhancements

• Formal tests.
• Better argument-handling, help, etc. with argparse.
• Better error warnings (raising exceptions with messages rather than just failing assertions in some places).