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types-dataclasses 0.6.6

0

Typing stubs for dataclasses

Typing stubs for dataclasses

Stars: 4344, Watchers: 4344, Forks: 1736, Open Issues: 239

The python/typeshed repo was created 9 years ago and the last code push was an hour ago.
The project is very popular with an impressive 4344 github stars!

How to Install types-dataclasses

You can install types-dataclasses using pip

pip install types-dataclasses

or add it to a project with poetry

poetry add types-dataclasses

Package Details

Author
License
Apache-2.0 license
Homepage
https://github.com/python/typeshed
PyPi:
https://pypi.org/project/types-dataclasses/
GitHub Repo:
https://github.com/python/typeshed

Classifiers

No  types-dataclasses  pypi packages just yet.

Errors

A list of common types-dataclasses errors.

Code Examples

Here are some types-dataclasses code examples and snippets.

GitHub Issues

The types-dataclasses package has 239 open issues on GitHub

  • [stubsabot] Bump setuptools to 68.0.*
  • Add is_cli param to pydoc.pyi
  • Rename Generator-like type params to be more obvious
  • Add _file in class SpooledTemporaryFile in tempfile.pyi
  • stripe: add shipping_rate type
  • Type openpyxl functions module and its usages
  • [stubsabot] Bump croniter to 1.4.*
  • multiprocessing.Value.value needs to be defined
  • Add pexpect stubs
  • Remove unnecessary union in the default type in .get() and .pop() methods
  • The type of __default= in dict.pop and dict.get doesn't look right
  • tempfile.SpooledTemporaryFile missing _file attribute
  • Update datetime.pyi for Python3.12
  • [psutil] add settable info property
  • pywin32: PyNETRESOURCE attributes incorrectly typed as read-only

See more issues on GitHub

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typing - Support for type hints

This module provides runtime support for type hints as specified by PEP 484, PEP 526, PEP 544, PEP 586, PEP 589, PEP 591, PEP 612 and PEP 613. The most fundamental support consists of the types Any, Union, Tuple, Callable, TypeVar, and Generic. For full specification please see PEP 484. For a simplified introduction to type hints see PEP 483.

import typing

# preferred
from typing import Dict, List, Union, Any

myvar: Dict = {}
# non-preferred
import typing

myvar: typing.Dict = {}

Code examples


from typing import Mapping, Dict, Any, Union

example1: Dict = {}

example2: Dict[str, Any]

example2: Mapping[str, int]

example3: Union[Dict[str, int], None]

example4: Union[str, None]

def hello(name: str) -> str:
    return f"Hello {name}"

Reference