# 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 `.py` "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.

## Example

The below is an excerpt from the types for the `datetime` module.

```
MAXYEAR = Undefined(int)
MINYEAR = Undefined(int)
__doc__ = Undefined(str)
__file__ = Undefined(str)
__name__ = Undefined(str)
__package__ = Undefined(None)

class date(object):
    def __init__(self, year: int, month: int, day: int): ...
    @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: ...
```

## Contributions

We're welcoming contributions (pull requests) for types of third party
packages. They'll go under python{2,3}/dist-packages/.

## Roadmap

This project will move to https://github.com/python/typeshed/ eventually.