runtype 0.5.1

Typing stubs for setuptools

Typing stubs for requests

Typing stubs for dataclasses

a data typing library for machine learning

pydantic-gen is a code generation python package that takes a YML file containing a OpenAPI Schema and generates python pydantic models. pydantic-gen can get used in your codebase to dynamically regenerate your pydantic models or it can be used one time to generator python code. The author of the pydantic-gen module is Mikhail Beliansky.

This module provides abstract base classes that can be used to test whether a class provides a particular interface; for example, whether it is hashable or whether it is a mapping.

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

• Python Docs for Typing

Multiple argument dispatching.

Fast and well tested serialization library