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!
pip install typingx
If you want to use PEP 655 TypedDict
related types Required
and NotRequired
, you can force the installation of typing-extensions
pip install "typingx[pep655]"
# 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_dict` has 'title' key, possibly the 'year' key but nothing else
class Movie1(TypedDict):
title: str
year: NotRequired[int]
isinstancex(my_dict, Movie1)
# Check if `my_dict` has only string values expect an integer for 'a' and a boolean for 'b'
isinstancex(my_dict, {'a': int, 'b': bool, ...: str}) # shortcut for `typing.TypedDict('TD', {'a': int, 'b': bool, __extra__: str})`
# 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 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
: likeisinstance
andissubclass
but withtyping
types and extra types provided by this library⚠️ using a tuple as second parameter will validate againstTuplex
. If you want to check against multiple types(int, str)
, wrap it intoUnion[(int, str)]
! -
issubclassx
: same asisinstancex
but forissubclass
-
func_check
: a decorator to check inputs and output of a function based on annotation -
get_args
andget_origin
that have the exact same behaviour as thetyping
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. with3.8
, this libray will choosetyping_extensions.TypedDict
instead oftyping.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
andTuplex
: more sophisticated versions ofList
andTuple
to add...
anywhere in the parameters
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
# TypedDict (PEP 655)
from typing_extensions import NotRequired, TypedDict
class Movie1(TypedDict):
title: str
year: NotRequired[int]
assert isinstancex({"title": "qwe"}, Movie1)
assert isinstancex({"title": "qwe", "year": 2011}, Movie1)
assert not isinstancex({"title": "qwe", "pika": "chu"}, Movie1)
assert not isinstancex({"title": "qwe", "year": "2011"}, Movie1)
assert not isinstancex({"title": "qwe", "year": 2011, "pika": "chu"}, Movie1)
# 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
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