Mypy uses stub files stored in the typeshed repository to determine the types of standard library and third-party library functions, classes, and other definitions. You can also create your own stubs that will be used to type check your code. The basic properties of stubs were introduced back in Library stubs and typeshed.
Creating a stub¶
Here is an overview of how to create a stub file:
Write a stub file for the library (or an arbitrary module) and store it as a
.pyifile in the same directory as the library module.
Alternatively, put your stubs (
.pyifiles) in a directory reserved for stubs (e.g.,
myproject/stubs). In this case you have to set the environment variable
MYPYPATHto refer to the directory. For example:
$ export MYPYPATH=~/work/myproject/stubs
Use the normal Python file name conventions for modules, e.g.
csv. Use a subdirectory with
__init__.pyi for packages. Note
that PEP 561 stub-only packages must be installed, and may not be pointed
at through the
MYPYPATH (see PEP 561 support).
If a directory contains both a
.py and a
.pyi file for the
same module, the
.pyi file takes precedence. This way you can
easily add annotations for a module even if you don’t want to modify
the source code. This can be useful, for example, if you use 3rd party
open source libraries in your program (and there are no stubs in
That’s it! Now you can access the module in mypy programs and type check code that uses the library. If you write a stub for a library module, consider making it available for other programmers that use mypy by contributing it back to the typeshed repo.
The following sections explain the kinds of type annotations you can use in your programs and stub files.
You may be tempted to point
MYPYPATH to the standard library or
site-packages directory where your 3rd party packages
are installed. This is almost always a bad idea – you will likely
get tons of error messages about code you didn’t write and that
mypy can’t analyze all that well yet, and in the worst case
scenario mypy may crash due to some construct in a 3rd party
package that it didn’t expect.
Stub file syntax¶
Stub files are written in normal Python 3 syntax, but generally leaving out runtime logic like variable initializers, function bodies, and default arguments.
If it is not possible to completely leave out some piece of runtime
logic, the recommended convention is to replace or elide them with ellipsis
...). Each ellipsis below is literally written in the
stub file as three dots:
# Variables with annotations do not need to be assigned a value. # So by convention, we omit them in the stub file. x: int # Function bodies cannot be completely removed. By convention, # we replace them with `...` instead of the `pass` statement. def func_1(code: str) -> int: ... # We can do the same with default arguments. def func_2(a: int, b: int = ...) -> int: ...
It is always legal to use Python 3 syntax in stub files, even when writing Python 2 code. The example above is a valid stub file for both Python 2 and 3.
Using stub file syntax at runtime¶
The recommended style is to use ellipses to do so, just like in
stub files. It is also considered stylistically acceptable to
NotImplementedError in cases where the user of the
code may accidentally call functions with no actual logic.
You can also elide default arguments as long as the function body
also contains no runtime logic: the function body only contains
a single ellipsis, the pass statement, or a
It is also acceptable for the function body to contain a docstring.
from typing import List from typing_extensions import Protocol class Resource(Protocol): def ok_1(self, foo: List[str] = ...) -> None: ... def ok_2(self, foo: List[str] = ...) -> None: raise NotImplementedError() def ok_3(self, foo: List[str] = ...) -> None: """Some docstring""" pass # Error: Incompatible default for argument "foo" (default has # type "ellipsis", argument has type "List[str]") def not_ok(self, foo: List[str] = ...) -> None: print(foo)
Ellipsis expressions are legal syntax in Python 3 only. This means
it is not possible to elide default arguments in Python 2 code.
You can still elide function bodies in Python 2 by using either
pass statement or by throwing a