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Statically check and infer types for unannotated Python code. (This is not an official Google product.)
Pytype is a static analyzer that helps you find type errors in Python code. It can type-check code with or without type annotations, as well as generate annotations. Pytype runs under Python 2.7 or 3.6 and analyzes both Python 2 and Python 3 code.
Below, print_greeting calls make_greeting incorrectly:
$ cat foo.py
def make_greeting(user_id):
return 'hello, user' + user_id
def print_greeting():
print(make_greeting(0))
Run pytype to catch the bug:
$ pytype foo.py File "foo.py", line 2, in make_greeting: Function str.__add__ was called with the wrong arguments [wrong-arg-types] Expected: (self, y: str) Actually passed: (self, y: int) Traceback: line 5, in print_greeting
Merge pytype's generated type information back into foo.py:
$ cat pytype_output/foo.pyi
def make_greeting(user_id) -> str: ...
def print_greeting() -> None: ...
$ merge-pyi -i foo.py foo.pyi
$ cat foo.py
def make_greeting(user_id) -> str:
return 'hello, user' + user_id
def print_greeting() -> None:
print(make_greeting(0))
Pytype is currently available only on Linux. You need a Python 2.7 or 3.6 interpreter to run pytype, as well as an interpreter in $PATH for the Python version of the code you're analyzing.
Pytype can be installed via pip:
pip install wheel pip install pytype
Or from the source code on GitHub. (Note that pytype's setup.py relies on setuptools).
git clone --recurse-submodules https://github.com/google/pytype.git cd pytype pip install -U .
Instead of using --recurse-submodules, you could also have run
git submodule init git submodule update
in the pytype directory.
usage: pytype [options] input [input ...] positional arguments: input file or directory to process
Common options:
For a full list of options, run pytype --help.
In addition to the above, you can direct pytype to use a custom typeshed installation instead of its own bundled copy by setting $TYPESHED_HOME.
For convenience, you can save your pytype configuration in a file. The config file is an INI-style file with a [pytype] section; if an explicit config file is not supplied, pytype will look for a [pytype] section in the first setup.cfg file found by walking upwards from the current working directory.
Start off by generating a sample config file:
$ pytype --generate-config pytype.cfg
Now customize the file based on your local setup, keeping only the sections you need. Directories may be relative to the location of the config file, which is useful if you want to check in the config file as part of your project.
For example, suppose you have the following directory structure and want to analyze package ~/repo1/foo, which depends on package ~/repo2/bar:
~/
├── repo1
│ └── foo
│ ├── __init__.py
│ └── file_to_check.py
└── repo2
└── bar
├── __init__.py
└── dependency.py
Here is the filled-in config file, which instructs pytype to treat its input as Python 3.6 code and ignore attribute errors. Notice that the path to a package does not include the package itself.
$ cat ~/repo1/pytype.cfg
# NOTE: All relative paths are relative to the location of this file.
[pytype]
# Python version (major.minor) of the target code.
python_version = 3.6
# Paths to source code directories, separated by ':'.
pythonpath =
.:
~/repo2
disable=attribute-error
We could've discovered that ~/repo2 needed to be added to the pythonpath by running pytype's broken dependency checker:
$ pytype --config=~/repo1/pytype.cfg ~/repo1/foo/*.py --unresolved Unresolved dependencies: bar.dependency
Pytype ships with three scripts in addition to pytype itself:
Apache 2.0
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