# typeshed ## About Typeshed models function types for the Python standard library and Python builtins, as well as third party packages. This data can e.g. be used for static analysis, type checking or type inference. ## Format Each Python module is represented by a `.pyi` "stub". This is a normal Python file (i.e., it can be interpreted by Python 3), except all the methods are empty. Python function annotations ([PEP 3107](https://www.python.org/dev/peps/pep-3107/)) are used to describe the types the function has. See [PEP 484](http://www.python.org/dev/peps/pep-0484/) for the exact syntax of the stub files. ## Syntax example The below is an excerpt from the types for the `datetime` module. ```python MAXYEAR = ... # type: int MINYEAR = ... # type: int class date(object): def __init__(self, year: int, month: int, day: int) -> None: ... @classmethod def fromtimestamp(cls, timestamp: int or float) -> date: ... @classmethod def fromordinal(cls, ordinal: int) -> date: ... @classmethod def today(self) -> date: ... def ctime(self) -> str: ... def weekday(self) -> int: ... ``` ## Directory structure ### stdlib This contains stubs for modules the Python standard library -- which includes pure Python modules, dynamically loaded extension modules, hard-linked extension modules, and the builtins. ### third_party Modules that are not shipped with Python but have a type description in Python go into `third_party`. Since these modules can behave differently for different versions of Python, `third_party` has version subdirectories, just like `stdlib`. We're welcoming contributions (pull requests) for type definitions of third-party packages. NOTE: When you're contributing a new stub for a package that you did not develop, please obtain consent of the package owner (this is specified in [PEP 484](https://www.python.org/dev/peps/pep-0484/#the-typeshed-repo)). The best way to obtain consent is to file an issue in the third-party package's tracker and include the link to a positive response in your PR for typeshed. ### Version directories We store stubs for both Python 2 as well as Python 3. We also distinguish between minor versions (E.g. 3.2 <-> 3.3). To accomplish not having to duplicate modules that are the same between all minor versions, we have e.g. a top-level directory 3/ that contains all the stubs for Python 3. More specialized stubs go into e.g. 3.3/ and supersede the more generic stubs in 3/. Modules that are the same under both Python 2 and Python 3 go into 2and3/. Note that the only supported version of Python 2 is 2.7. ### Combining multiple versions in a single file According to PEP 484, type checkers are expected to understand simple version and platform checks. So the following syntax is legal in a `pyi`: ```python if sys.version_info >= (3,): # Python 3 specific definitions else: # Python 2 specific definitions ``` This can be used for modules in 2and3/ that only have minor changes between Python 2 and Python 3. If the difference between versions is more drastic, it can make more sense to have seperate files in 2.x/ and 3.x/. ## Running the tests The tests are automatically run by Travis CI on every PR and push to the repo. There are two separate sets of tests: `tests/mypy_test.py` runs tests against [mypy](https://github.com/python/mypy/), while `tests/pytype_tests.py` runs tests against [pytype](https://github.com/google/pytype/). The script runtests.sh runs both sets of tests and flake8 over all .pyi files. Both sets of tests are shallow -- they verify that all stubs can be imported but they don't check whether stubs match their implementation (in the Python standard library or a third-party package). Also note that each set of tests has a blacklist of modules that are not tested at all. The blacklists also live in the tests directory. To manually run the mypy tests, you need to have Python 3.5 or higher. Run: ``` $ python3.5 -m venv .venv3 $ source .venv3/bin/activate (.venv3)$ pip install -r requirements-tests-py3.txt ``` This will install mypy-lang, typed-ast, and flake8. You can then run mypy tests and flake8 tests by invoking: ``` (.venv3)$ python tests/mypy_test.py ... (.venv3)$ python tests/flake8_test.py ... ``` To run the pytype tests, you need a separate virtual environment with Python 2.7. Run: ``` $ virtualenv --python=python2.7 .venv2 $ source .venv2/bin/activate (.venv2)$ pip install -r requirements-tests-py2.txt ``` This will install pytype from its GitHub repo. You can then run pytype tests by running: ``` (.venv2)$ python tests/pytype_test.py ``` To be able to everything with ``runtests.sh``, copy the ``pytype`` script from the Python 2 virtualenv to the Python 3 one: ``` $ cp .venv2/bin/pytype .venv3/bin/pytype $ source .venv3/bin/activate (.venv3)$ ./runtests.sh running mypy --python-version 3.6 --strict-optional --fast-parser # with 479 files running mypy --python-version 3.5 --strict-optional # with 469 files running mypy --python-version 3.4 --strict-optional # with 469 files running mypy --python-version 3.3 --strict-optional # with 454 files running mypy --python-version 3.2 --strict-optional # with 453 files running mypy --python-version 2.7 --strict-optional # with 502 files Running pytype tests... Ran pytype with 244 pyis, got 0 errors. Running flake8 on 886 .pyi files... flake8 run clean. (.venv3)$ ``` For mypy, if you are in the typeshed repo that is submodule of the mypy repo (so `..` refers to the mypy repo), there's a shortcut to run the mypy tests that avoids installing mypy: ```bash $ PYTHONPATH=.. python3 tests/mypy_test.py ``` You can mypy tests to a single version by passing `-p2` or `-p3.5` e.g. ```bash $ PYTHONPATH=.. python3 tests/mypy_test.py -p3.5 running mypy --python-version 3.5 --strict-optional # with 342 files ```