Extend typing package functionalities
Project description
typingx
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
andissubclassx
: likeisinstance
andissubclass
but withtyping
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 intoUnion[(int, str)]
-
get_args
andget_origin
that have the exact same behaviour as the3.10
python version ones, no matter which python version is used (the only exception beingget_args
withGeneric
on python 3.6) -
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
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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