Skip to main content

typingx

Tests codecov pypi versions license

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!

Example

# Check if `x` is a string or an integer
isinstancex(x, str | int)

# Check if `my_list` has only numbers
isinstancex(my_list, list[int | float])

# Check if `my_set` has only integers greater than 2 with at least 3 distinct ones
Gt2Int = Annotated[int, Constraints(gt=2)]
isinstancex(my_set, Annotated[set[Gt2Int], Constraints(min_length=3)])  # or `typing.Set`

# 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})`

# Check if all the keys are 1 lower case letter and values are integers with 1 digit
OneLowerStr = Annotated[str, Constraints(regex='^[a-z]$')]
OneDigitUInt = Annotated[int, Constraints(ge=0, lt=10)]
isinstancex(my_dict, dict[OneLowerStr, OneDigitUInt])

@func_check
def my_func(a: int, b: Annotated[int, Constraints(ge=5)]) -> Annotated[int, Constraints(le=10)]:
    return a + b

try:
    my_func(1, 4)
except TypeError as e:
    assert str(e) == "Input b (value: 4) is not a valid Annotated[int, Constraints(ge=5)]"

try:
    my_func(5, 6)
except TypeError as e:
    assert str(e) == "Output (value: 11) is not a valid Annotated[int, Constraints(le=10)]"

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: 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)]!

  • issubclassx: same as isinstancex but for issubclass

  • func_check: a decorator to check inputs and output of a function based on annotation

  • get_args and get_origin that have the exact same behaviour as the typing module with python 3.10, no matter which python version is used!

  • 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

isinstancex

from collections import ChainMap, Counter

from typingx import *

T, U = TypeVar('T'), TypeVar('U')

# Annotated
GT2 = Annotated[int, Constraints(gt=2)]
assert isinstancex(1, int) is True
assert isinstancex(1, GT2) is False
assert isinstancex(3, GT2) is True
assert isinstancex([3, 3], list[GT2]) is True

Between2And5 = Annotated[Union[float, int], Constraints(ge=2, le=5)]
assert isinstancex(3, Between2And5) is True
assert isinstancex(3.5, Between2And5) is True
assert isinstancex('3.5', Between2And5) is False

assert isinstancex(3, Annotated[int, Constraints(multiple_of=1.5)]) is True
assert isinstancex(3., Annotated[int, Constraints(multiple_of=1.5)]) is False
assert isinstancex(3., Annotated[Union[int, float], Constraints(multiple_of=1.5)]) is True

Mult1_5AndLe2 = Annotated[Union[int, float], Constraints(multiple_of=1.5, le=10)]
assert isinstancex(15, Mult1_5AndLe2) is False
assert isinstancex([3.0, 4.5, 9], list[Mult1_5AndLe2]) is True
assert isinstancex([3., 4.3], list[Mult1_5AndLe2]) is False

OneLowerStr = Annotated[str, Constraints(regex='^[a-z]$')]
OneDigitUInt = Annotated[int, Constraints(ge=0, lt=10)]
assert isinstancex({'a': 1, 'b': 2}, dict[OneLowerStr, OneDigitUInt]) is True
assert isinstancex({'a': 1, 'bc': 2}, dict[OneLowerStr, OneDigitUInt]) is False

# Callable
def f(x: int, y: float) -> str:
    return f'{x}{y}'

assert isinstancex(f, Callable) is True
assert isinstancex(f, Callable[..., Any]) is True
assert isinstancex(f, Callable[..., str]) is True
assert isinstancex(f, Callable[[int, float], str]) is True
assert isinstancex(f, Callable[[T, float], U][int, str]) 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((), Tuple[()]) is True
assert isinstancex((1,), Tuple[()]) is True
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
assert isinstancex(3.14, Union[int, T, str][bool]) is False
assert isinstancex(3.14, Union[int, T, str][float]) is True

issubclassx (:warning: still in WIP)

from typingx import *

assert issubclassx(int, int) is True
assert issubclassx(int, object) is True
assert issubclassx(int, float) is False
assert issubclassx(int, int | str) is True
assert issubclassx(tuple[int], tuple) is True
assert issubclassx(tuple[int], tuple[Any]) is True
assert issubclassx(tuple[int], tuple[Any, ...]) is True
assert issubclassx(tuple[int, str], tuple[object, ...]) is True
assert issubclassx(tuple[int, str], tuple[Any]) is False
assert issubclassx(tuple[int, int], (int, ...)) is True
assert issubclassx(tuple[int, int], (int, str)) is False
assert issubclassx(tuple[int, int], (int, Any)) is True

Metadata

Release files for typingx 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for typingx 0.6.0
File Size Uploaded Provenance Actions
typingx-0.6.0.tar.gz 14.7 kB Without provenance Details for typingx-0.6.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for typingx 0.6.0
File Interpreter ABI Platform Actions
typingx-0.6.0-py3-none-any.whl Python 3 none any Details for typingx-0.6.0-py3-none-any.whl

Total release size: 27.0 kB

Release files / typingx-0.6.0.tar.gz

Download URL typingx-0.6.0.tar.gz
Size 14.7 kB
Tags Source
SHA-256 checksum
How to use checksums
1a13e4b38832aaf89ce1a5d5437daf01358923d2e29288355ea90b5b806260f2
BLAKE2b-256 checksum
How to use checksums
cd9d196eacc0553d4f958bb3370884f9f600b0fff8a0deb14977754bfd0ff7e3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.12 CPython/3.10.0rc2 Darwin/21.1.0

Release files / typingx-0.6.0-py3-none-any.whl

Download URL typingx-0.6.0-py3-none-any.whl
Size 12.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9250517e145bf97e97ee1366fef27cd5d4e98250ebfc1d3f73b3dd9f34c9e8fa
BLAKE2b-256 checksum
How to use checksums
ed8cd387f5d2a331a7da589dacfa3d5f349bce7507f52b52c4a66c880fe5111d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.12 CPython/3.10.0rc2 Darwin/21.1.0

Security for typingx 0.6.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page