Stubmaker is an easy-to-use tool for generating python stubs.

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General Utilitiesstubmaker
Overview

Stubmaker

Stubmaker is an easy-to-use tool for generating python stubs.

Requirements

  • Stubmaker is to be run under Python 3.7.4+
  • No side effects during module imports
  • Must contain __all__ (this restriction will be removed in upcomming releases)

How to install

pip install stubmaker
stubmaker --help

Usage example

Imagine you have a package with the following structure:

package
-> __init__.py

Contents of __init__.py:

__all__ = ['sleep_for']
from time import sleep


def some_decorator(func):
    return func


@some_decorator
def sleep_for(amount: float) -> None:
    sleep(amount)

There is a script that calls sleep_for method but passes wrong arguments:

from package import sleep_for

sleep_for(123, 123)

Due to dynamic nature of decorators static analysers (such as mypy) may not raise an error while checking the script:

>> mypy __main__.py

Success: no issues found in 1 source file

Stubs exist to help you! Stubmaker will provide stubs for your package so that its users can find the error using mypy:

>> stubmaker --module-root package --src-root <path to package>/package --output-dir <path to package>/package
>> mypy __main__.py

__main__.py:3: error: Too many arguments for "sleep_for"
Found 1 error in 1 file (checked 1 source file)

License

© YANDEX LLC, 2020-2021. Licensed under the Apache License, Version 2.0. See LICENSE file for more details.

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Comments
  • Render some magic methods for classes

    Render some magic methods for classes

    Render magic methods if the signature of the method differs significantly from the parent method. Also made logic for metaclass rendering more correct.

    opened by alexdrydew 0
  • Aliases support

    Aliases support

    Added support for objects' module and qualname aliases.

    Examples when this feature is required:

    • pandas.DataFrame.__module__ is pandas.core.frame. It is possible to import DataFrame from pandas.core.frame instead of pandas but undesired
    • types.ModuleType.__module__ is builtins and types.ModuleType.__qualname__ is module. Attempt to import module from builtins leads to ImportError.

    The feature is implemented by passing a python module path as an argument. This module should define DESCRIBED_OBJECTS dictionary at the top level, which is a mapping from python objects to tuples consisting of module name and qualname for the described object.

    enhancement 
    opened by alexdrydew 0
Releases(v0.0.3)

  • v0.0.3(Jul 5, 2022)

    • Stub generation for metaclasses support.
    • Added described_objects option for stub generation which enables support for objects with predefined module name and qualname. This is required for correct stub generation in cases when object has a wrong __module__ (e.g., contextvars.ContextVar has __module__ builtins but in reality must be imported from contextvars) or can't be accessed by qualname directly (e.g., ModuleType which __qualname__ has "module" value).
    Source code(tar.gz)
    Source code(zip)

  • v0.0.2(Oct 7, 2021)

    • TypeVar support
    • Renamed AST to RepresenationsTree
    • Better module dependencies resolving
    • Wrong namespaces in functions arguments default values bug fixed
    Source code(tar.gz)
    Source code(zip)

  • v0.0.1(Aug 24, 2021)

Owner
Toloka
Data labeling platform for ML
Toloka
GitHub Repository
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