Test mypy plugins, stubs, custom types.
Create a Python file, add comments to lines where you expect mypy to produce an error, run mypy_test
, and it will check if actual errors are the same as you expect.
Features:
- Flexible: supports every feature supported by mypy, does not enforce a project structure.
- Fast: mypy gets run only once for all files at once. Also, no patching, no config generation.
- Easy to learn: run
mypy_test
with the same arguments as you would run mypy, and it just works. - Lightweight: no dependencies except mypy.
python3 -m pip install mypy-test
-
Write a file you want to test, add comments to the lines you expect to fail:
a = 1 reveal_type(a) # R: builtins.int
-
Run the tool:
python3 -m mypy_test example.py
- The comments have the following format:
SEVERITY: MESSAGE
. - Severity is a one-letter violation severity as reported by mypy.
F
for "fatal"E
for "error"W
for "warning"N
for "note"R
is a shorthand forN: Revealed type is "..."
- Comment can be on the same line as the violation or on the line before.
Example:
var = 1.1
reveal_type(var) # R: builtins.float
# E: Incompatible types in assignment (expression has type "str", variable has type "float")
var = ""
Tips:
- The fastest way to know the severity and the message is to run
mypy_test
on the code and then copy-paste the resulting message. - Make separate functions for every test case, so it can have a nice description and a clean namespace.
- Place all test files into one directory. For example,
/types/
or/tests/types/
.
- pytest-mypy-plugins - pytest plugin, test cases described in a YAML file.
- pytest-mypy-testing - pytest plugin, tests are described like pytest test cases (but they actually don't get run).