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Extend typing package functionalities

Project description

typingx

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How many times have you wanted to check the shape of your data either in application code or while testing? With this library, you can leverage typing types at runtime to do that!

This is even more powerful when used with generic standard collections (e.g. list[str]) introduced in python 3.9 and new union operator | introduced in python 3.10. If you want to use them with older version, a backport future-typing exists!

# Check if `x` is a string
isinstancex(x, str)

# Check if `x` is a string or an integer
isinstancex(x, str | int)  # or typing.Union[str, int]

# Check if `my_list` is a list of integers
isinstancex(my_list, list[int])  # or typing.List[int]

# Check if `my_list` has only numbers
isinstancex(my_list, list[int | float])  # or typing.List[typing.Union[int, float]]

# Check if `my_list` is a list starting with 2 integers and then has only strings
isinstancex(my_list, [int, int, str, ...])  # shortcut for `Listx[int, int, str, ...]` (see extra types)

# Check if `my_tuple` is a tuple starting with only integers and then only floats
isinstancex(my_tuple, (int, ..., float, ...))  # shortcut for `Tuplex[int, ..., float, ...]` (see extra types)

# Check if `my_dict` is a mapping between integers and strings
isinstancex(my_dict, dict[int, str])  # or `typing.Dict[int, str]`

# Check deeper the shape of `my_dict`
isinstancex(my_dict, {'a': int, 'b': bool, ...: str})  # shortcut for `typing.TypedDict('TD', {'a': int, 'b': bool, __extra__: str})`

Since typing changed a lot since python 3.6, this library also makes sure the whole behaviour is consistent with 3.10 for all python versions.

It hence provides:

  • isinstancex and issubclassx: like isinstance and issubclass but with typing types and extra types provided by this library

    :warning: using a tuple as second parameter will validate against Tuplex. If you want to check against multiple types (int, str), wrap it into Union[(int, str)]

  • get_args and get_origin that have the exact same behaviour as the 3.10 python version ones, no matter which python version is used (the only exception being get_args with Generic on python 3.6)

  • is_literal, is_newtype, is_typeddict helpers

  • most typing types but with homogeneous behaviour (e.g. with 3.8, this libray will choose typing_extensions.TypedDict instead of typing.TypedDict since the latter doesn't store information to distinguish optional and required keys)

  • extanded types:

    • TypedDict with ... field to allow type checking on optional fields
  • extra types:

    • Listx and Tuplex: more sophisticated versions of List and Tuple to add ... anywhere in the parameters

Installation

    pip install typingx

Usage

from collections import ChainMap, Counter

from typingx import *

# Callable
def gt(x: int, y: int) -> bool:
    return x > y

assert isinstancex(gt, Callable) is True
assert isinstancex(gt, Callable[..., Any]) is True
assert isinstancex(gt, Callable[..., bool]) is True
assert isinstancex(gt, Callable[[int, int], bool]) is True

# Dict
assert isinstancex({"a": 1, "b": 2}, Dict[str, int]) is True
assert isinstancex({"a": 1, "b": 2}, Dict[str, str]) is False
assert isinstancex({"a": 1, "b": 2}, Dict[int, str]) is False
assert isinstancex({"a": 1, "b": 2}, Dict[str, Any]) is True

# List
assert isinstancex([1, 2, 3], List[int]) is True
assert isinstancex([1, 2, "q"], List[int]) is False
assert isinstancex([1, 2, "q"], List[Union[str, int]]) is True

# Listx
assert isinstancex([1, 2, 3, 4], Listx[int]) is False
assert isinstancex([1, 2, 3, 4], Listx[int, ...]) is True
assert isinstancex([1, 2, "q"], Listx[int, ..., str]) is True
assert isinstancex([1, 2, "q", "w", "e"], Listx[int, ..., str]) is False
assert isinstancex([1, 2, "q", "w", "e"], Listx[int, ..., str, ...]) is True
assert isinstancex([1, 2, "q", "w", b"xyz", "e"], Listx[int, ..., str, ...]) is False
assert isinstancex([1, 2, "q", "w", b"xyz", "e"], Listx[int, ..., Union[str, bytes], ...]) is True

# Listx (shortcut)
assert isinstancex([1, 2, 3, 4, "q"], [int, ..., str]) is True

# Literal
assert isinstancex("a", Literal["a"]) is True
assert isinstancex(Literal["a"], Literal["a"]) is True
assert isinstancex("b", Literal["a"]) is False
assert isinstancex("b", Literal["a", Literal[Literal["b"]]]) is True
assert isinstancex(Literal["a", "b"], Literal["b", "a", "c"]) is True

# Mapping
assert isinstancex(Counter({"red": 4, "blue": 2}), Mapping[str, int]) is True
assert isinstancex(ChainMap({"art": "van gogh"}, {"music": "bach"}), Mapping[str, str]) is True

# NewType
UserId = NewType("UserId", int)
ProUserId = NewType("ProUserId", UserId)

assert isinstancex(1, UserId) is True
assert isinstancex(1, ProUserId) is True
assert isinstancex(UserId(1), UserId) is True
assert isinstancex("3", UserId) is False

# None
assert isinstancex([None, None], List[None]) is True
assert isinstancex([None, None], List[NoneType]) is True
assert isinstancex([None, None], List[type(None)]) is True
assert isinstancex([None, None], List[Literal[None]]) is True

# Sequence
assert isinstancex("abc", Sequence[Any]) is True
assert isinstancex("abc", Sequence[int]) is False
assert isinstancex((1, 3, 5), Sequence[int]) is True

# Set
assert isinstancex({"a", "b"}, Set[str]) is True
assert isinstancex({"a", "b"}, Set[int]) is False

# Tuple
assert isinstancex((1, 2), Tuple[int, ...]) is True
assert isinstancex((1, 2), Tuple[int, int]) is True
assert isinstancex((1, 2), Tuple[int, int, int]) is False

# Tuplex
assert isinstancex((3, "a", "b"), Tuplex[int, str, ...]) is True
assert isinstancex((3, "a", "b", "c"), Tuplex[int, str, ...]) is True
assert isinstancex((3, "a", "b", "c"), Tuplex[int, str, ..., bool]) is False
assert isinstancex((3, "a", "b", "c", True), Tuplex[int, str, ..., bool]) is True
assert isinstancex((3, "a", "b", "c", 3), Tuplex[int, str, ..., bool]) is False
assert isinstancex((3, "a", "b", "c", True, False), Tuplex[int, str, ..., bool, ...]) is True

# Tuplex (shortcut)
assert isinstancex((True, "q", "q", "q", "q"), (bool, Literal["q"], ...)) is True

# Type
class User: ...
class BaseUser(User): ...

assert isinstancex(BaseUser, Type[BaseUser]) is True
assert isinstancex(BaseUser, Type[User]) is True
assert isinstancex(User, Type[User]) is True
assert isinstancex(User, Type[BaseUser]) is False

# TypedDict
FullMovie = TypedDict("FullMovie", {"name": str, "year": int})

class PartialMovie(TypedDict, total=False):
    name: str
    year: int

class ExtraMovie(TypedDict):
    name: str
    year: int
    __extra__: str

assert isinstancex({"name": "The Matrix", "year": 1999}, FullMovie) is True
assert isinstancex({"name": "The Matrix", "year": "1999"}, FullMovie) is False
assert isinstancex({"name": "The Matrix"}, FullMovie) is False
assert isinstancex({"name": "The Matrix", "year": 1999, "extra": "qwe"}, FullMovie) is False

assert isinstancex({"name": "The Matrix", "year": 1999}, PartialMovie) is True
assert isinstancex({"name": "The Matrix"}, PartialMovie) is True
assert isinstancex({"name": "The Matrix", "year": 1999, "extra": "qwe"}, PartialMovie) is False

assert isinstancex({"name": "The Matrix", "year": 1999}, ExtraMovie) is True
assert isinstancex({"name": "The Matrix", "year": 1999, "q": "w", "e": "r"}, ExtraMovie) is True
assert isinstancex({"name": "The Matrix", "year": 1999, "q": "w", "e": 1}, ExtraMovie) is False

# TypedDict (shortcut)
assert isinstancex({"name": "The Matrix", "year": 1999, "q": "w", "e": "r"}, {"name": str, "year": int, ...: str}) is True

# Union
assert isinstancex(3, Union[str, int]) is True
assert isinstancex(3, Union[str, float]) is False

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