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2136bb0c-8ac4-40b2-8413-e99c82b8d676
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,397
supabase-export-v2
af19edc37cdea284
# OK: ``x`` is assigned to a tuple of length 1 where the sole element is an int x: tuple[int] = (5,) # OK: ``y`` is assigned to a tuple of length 2; # element 1 is an int, element 2 is a str y: tuple[int, str] = (5, "foo")
trusted_official_docs
CPython Docs
# OK: ``x`` is assigned to a tuple of length 1 where the sole element is an int x: tuple[int] = (5,) # OK: ``y`` is assigned to a tuple of length 2; # element 1 is an int, element 2 is a str y: tuple[int, str] = (5, "foo")
# OK: ``x`` is assigned to a tuple of length 1 where the sole element is an int x: tuple[int] = (5,) # OK: ``y`` is assigned to a tuple of length 2; # element 1 is an int, element 2 is a str y: tuple[int, str] = (5, "foo")
python, official-docs, cpython, P0
Local_Trusted_Corpus
21d00636-7a2e-4407-9267-692ae9d69a24
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
953eb722fc013336
* Every type is compatible with :data:`Any`. * :data:`Any` is compatible with every type. .. versionchanged:: 3.11 :data:`Any` can now be used as a base class. This can be useful for avoiding type checker errors with classes that can duck type anywhere or are highly dynamic.
trusted_official_docs
CPython Docs
* Every type is compatible with :data:`Any`. * :data:`Any` is compatible with every type. .. versionchanged:: 3.11 :data:`Any` can now be used as a base class. This can be useful for avoiding type checker errors with classes that can duck type anywhere or are highly dynamic.
* Every type is compatible with :data:`Any`. * :data:`Any` is compatible with every type. .. versionchanged:: 3.11 :data:`Any` can now be used as a base class. This can be useful for avoiding type checker errors with classes that can duck type anywhere or are highly dynamic.
python, official-docs, cpython, P0
Local_Trusted_Corpus
22a6dad6-4aa3-459d-aecd-3dea04e52e7d
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,807
supabase-export-v2
c7c78f5b9ea14a91
generic types as well as for generic function and type alias definitions. See :class:`Generic` for more information on generic types. Generic functions work as follows:: def repeat[T](x: T, n: int) -> Sequence[T]: """Return a list containing n references to x.""" return [x]*n
trusted_official_docs
CPython Docs
generic types as well as for generic function and type alias definitions. See :class:`Generic` for more information on generic types. Generic functions work as follows:: def repeat[T](x: T, n: int) -> Sequence[T]: """Return a list containing n references to x.""" return [x]*n
generic types as well as for generic function and type alias definitions. See :class:`Generic` for more information on generic types. Generic functions work as follows:: def repeat[T](x: T, n: int) -> Sequence[T]: """Return a list containing n references to x.""" return [x]*n
python, official-docs, cpython, P0
Local_Trusted_Corpus
22ec4a44-43fb-4b35-b71c-4e3a6e7e236c
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,871
supabase-export-v2
1106e68d7081a828
fails to type check (and fails at runtime) # because tuple[()] is not compatible with tuple[T, *Ts] # (at least one element is required) move_first_element_to_last(tup=()) Note the use of the unpacking operator ``*`` in ``tuple[T, *Ts]``. Conceptually, you can think of ``Ts`` as a tuple of type variables ``(T1, T2, .....
trusted_official_docs
CPython Docs
fails to type check (and fails at runtime) # because tuple[()] is not compatible with tuple[T, *Ts] # (at least one element is required) move_first_element_to_last(tup=()) Note the use of the unpacking operator ``*`` in ``tuple[T, *Ts]``. Conceptually, you can think of ``Ts`` as a tuple of type variables ``(T1, T2, .....
fails to type check (and fails at runtime) # because tuple[()] is not compatible with tuple[T, *Ts] # (at least one element is required) move_first_element_to_last(tup=()) Note the use of the unpacking operator ``*`` in ``tuple[T, *Ts]``. Conceptually, you can think of ``Ts`` as a tuple of type variables ``(T1, T2, .....
python, official-docs, cpython, P0
Local_Trusted_Corpus
26ddf358-6db5-4845-9b22-e2963806249e
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
31,017
supabase-export-v2
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.. versionchanged:: 3.9 Removed the ``_field_types`` attribute in favor of the more standard ``__annotations__`` attribute which has the same information. .. versionchanged:: 3.9 ``NamedTuple`` is now a function rather than a class. It can still be used as a class base, as described above.
trusted_official_docs
CPython Docs
.. versionchanged:: 3.9 Removed the ``_field_types`` attribute in favor of the more standard ``__annotations__`` attribute which has the same information. .. versionchanged:: 3.9 ``NamedTuple`` is now a function rather than a class. It can still be used as a class base, as described above.
.. versionchanged:: 3.9 Removed the ``_field_types`` attribute in favor of the more standard ``__annotations__`` attribute which has the same information. .. versionchanged:: 3.9 ``NamedTuple`` is now a function rather than a class. It can still be used as a class base, as described above.
python, official-docs, cpython, P0
Local_Trusted_Corpus
27b5059f-ff29-4c58-98d6-1ac8591a8265
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,626
supabase-export-v2
a96bd3ec09c41a42
signature. In this case, the :class:`ParamSpec` indicates that the returned callable's parameter types are dependent on the parameter types of the callable being passed in:: from collections.abc import Callable from threading import Lock from typing import Concatenate
trusted_official_docs
CPython Docs
signature. In this case, the :class:`ParamSpec` indicates that the returned callable's parameter types are dependent on the parameter types of the callable being passed in:: from collections.abc import Callable from threading import Lock from typing import Concatenate
signature. In this case, the :class:`ParamSpec` indicates that the returned callable's parameter types are dependent on the parameter types of the callable being passed in:: from collections.abc import Callable from threading import Lock from typing import Concatenate
python, official-docs, cpython, P0
Local_Trusted_Corpus
27eb8c8a-85aa-43ef-85b4-9ecc425eed03
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,549
supabase-export-v2
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def run_query(sql: LiteralString) -> None: ... def caller(arbitrary_string: str, literal_string: LiteralString) -> None: run_query("SELECT * FROM students") # OK run_query(literal_string) # OK run_query("SELECT * FROM " + literal_string) # OK run_query(arbitrary_string) # type checker error run_query( # type check...
trusted_official_docs
CPython Docs
def run_query(sql: LiteralString) -> None: ... def caller(arbitrary_string: str, literal_string: LiteralString) -> None: run_query("SELECT * FROM students") # OK run_query(literal_string) # OK run_query("SELECT * FROM " + literal_string) # OK run_query(arbitrary_string) # type checker error run_query( # type check...
def run_query(sql: LiteralString) -> None: ... def caller(arbitrary_string: str, literal_string: LiteralString) -> None: run_query("SELECT * FROM students") # OK run_query(literal_string) # OK run_query("SELECT * FROM " + literal_string) # OK run_query(arbitrary_string) # type checker error run_query( # type check...
python, official-docs, cpython, P0
Local_Trusted_Corpus
28bffda8-46c1-4e71-ab6e-9e57e06e9db5
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
31,182
supabase-export-v2
09045ffead1aca2b
Ask a static type checker to reveal the inferred type of an expression. When a static type checker encounters a call to this function, it emits a diagnostic with the inferred type of the argument. For example::
trusted_official_docs
CPython Docs
Ask a static type checker to reveal the inferred type of an expression. When a static type checker encounters a call to this function, it emits a diagnostic with the inferred type of the argument. For example::
Ask a static type checker to reveal the inferred type of an expression. When a static type checker encounters a call to this function, it emits a diagnostic with the inferred type of the argument. For example::
python, official-docs, cpython, P0
Local_Trusted_Corpus
296e2908-cb10-46c6-82a4-db67c1c4f6b9
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,870
supabase-export-v2
bdafc5bc3a30b82e
bound to int, Ts is bound to (str, float) # Return value is ('spam', 3.0, 1), which has type tuple[str, float, int] move_first_element_to_last(tup=(1, 'spam', 3.0)) # This fails to type check (and fails at runtime) # because tuple[()] is not compatible with tuple[T, *Ts] # (at least one element is required) move_fir...
trusted_official_docs
CPython Docs
bound to int, Ts is bound to (str, float) # Return value is ('spam', 3.0, 1), which has type tuple[str, float, int] move_first_element_to_last(tup=(1, 'spam', 3.0)) # This fails to type check (and fails at runtime) # because tuple[()] is not compatible with tuple[T, *Ts] # (at least one element is required) move_fir...
bound to int, Ts is bound to (str, float) # Return value is ('spam', 3.0, 1), which has type tuple[str, float, int] move_first_element_to_last(tup=(1, 'spam', 3.0)) # This fails to type check (and fails at runtime) # because tuple[()] is not compatible with tuple[T, *Ts] # (at least one element is required) move_fir...
python, official-docs, cpython, P0
Local_Trusted_Corpus
29730e45-8047-46e9-85bf-c84b6c30f3d1
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
31,263
supabase-export-v2
6ade3b1cefff6da4
Decorator to mark a class as a disjoint base. Type checkers do not allow child classes of a disjoint base ``C`` to inherit from other disjoint bases that are not parent or child classes of ``C``.
trusted_official_docs
CPython Docs
Decorator to mark a class as a disjoint base. Type checkers do not allow child classes of a disjoint base ``C`` to inherit from other disjoint bases that are not parent or child classes of ``C``.
Decorator to mark a class as a disjoint base. Type checkers do not allow child classes of a disjoint base ``C`` to inherit from other disjoint bases that are not parent or child classes of ``C``.
python, official-docs, cpython, P0
Local_Trusted_Corpus
2988f8e4-b977-4ab3-9aad-765597f64adf
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
31,282
supabase-export-v2
5cf4078c6fbc31b9
This is often the same as :func:`annotationlib.get_annotations`, but this function makes the following changes to the annotations dictionary: * Forward references encoded as string literals or :class:`ForwardRef` objects are handled by evaluating them in *globalns*, *localns*, and (where applicable) *obj*'s :ref:`typ...
trusted_official_docs
CPython Docs
This is often the same as :func:`annotationlib.get_annotations`, but this function makes the following changes to the annotations dictionary: * Forward references encoded as string literals or :class:`ForwardRef` objects are handled by evaluating them in *globalns*, *localns*, and (where applicable) *obj*'s :ref:`typ...
This is often the same as :func:`annotationlib.get_annotations`, but this function makes the following changes to the annotations dictionary: * Forward references encoded as string literals or :class:`ForwardRef` objects are handled by evaluating them in *globalns*, *localns*, and (where applicable) *obj*'s :ref:`typ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
2a8cef42-9c8e-4718-921c-e1a2581ac996
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,940
supabase-export-v2
20aa1f9482c05cb0
.. method:: evaluate_default An :term:`evaluate function` corresponding to the :attr:`~ParamSpec.__default__` attribute. When called directly, this method supports only the :attr:`~annotationlib.Format.VALUE` format, which is equivalent to accessing the :attr:`~ParamSpec.__default__` attribute directly, but the metho...
trusted_official_docs
CPython Docs
.. method:: evaluate_default An :term:`evaluate function` corresponding to the :attr:`~ParamSpec.__default__` attribute. When called directly, this method supports only the :attr:`~annotationlib.Format.VALUE` format, which is equivalent to accessing the :attr:`~ParamSpec.__default__` attribute directly, but the metho...
.. method:: evaluate_default An :term:`evaluate function` corresponding to the :attr:`~ParamSpec.__default__` attribute. When called directly, this method supports only the :attr:`~annotationlib.Format.VALUE` format, which is equivalent to accessing the :attr:`~ParamSpec.__default__` attribute directly, but the metho...
python, official-docs, cpython, P0
Local_Trusted_Corpus
2a9542bb-3e98-43b3-9a8e-c4048930aa1e
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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type Vec[T] = Annotated[list[tuple[T, T]], MaxLen(10)] # When used in a type annotation, a type checker will treat "V" the same as # ``Annotated[list[tuple[int, int]], MaxLen(10)]``: type V = Vec[int]
trusted_official_docs
CPython Docs
type Vec[T] = Annotated[list[tuple[T, T]], MaxLen(10)] # When used in a type annotation, a type checker will treat "V" the same as # ``Annotated[list[tuple[int, int]], MaxLen(10)]``: type V = Vec[int]
type Vec[T] = Annotated[list[tuple[T, T]], MaxLen(10)] # When used in a type annotation, a type checker will treat "V" the same as # ``Annotated[list[tuple[int, int]], MaxLen(10)]``: type V = Vec[int]
python, official-docs, cpython, P0
Local_Trusted_Corpus
2b885963-1d3a-4b56-8856-ba67cee6bf5f
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
31,213
supabase-export-v2
d3329e66297b3d4e
:param field_specifiers: Specifies a static list of supported classes or functions that describe fields, similar to :func:`dataclasses.field`. Defaults to ``()``. :type field_specifiers: tuple[Callable[..., Any], ...] :param Any \**kwargs: Arbitrary other keyword arguments are accepted in order to allow for possible ...
trusted_official_docs
CPython Docs
:param field_specifiers: Specifies a static list of supported classes or functions that describe fields, similar to :func:`dataclasses.field`. Defaults to ``()``. :type field_specifiers: tuple[Callable[..., Any], ...] :param Any \**kwargs: Arbitrary other keyword arguments are accepted in order to allow for possible ...
:param field_specifiers: Specifies a static list of supported classes or functions that describe fields, similar to :func:`dataclasses.field`. Defaults to ``()``. :type field_specifiers: tuple[Callable[..., Any], ...] :param Any \**kwargs: Arbitrary other keyword arguments are accepted in order to allow for possible ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,368
supabase-export-v2
08c8c29854e56101
def batch_proc(data: Iterable[bytes], cb_results: Combiner) -> bytes: for item in data: ... def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ...
trusted_official_docs
CPython Docs
def batch_proc(data: Iterable[bytes], cb_results: Combiner) -> bytes: for item in data: ... def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ...
def batch_proc(data: Iterable[bytes], cb_results: Combiner) -> bytes: for item in data: ... def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
2c505777-43c5-44e0-ab7e-83cdeeac4aac
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,369
supabase-export-v2
a4101deb0eeafdc5
def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ... batch_proc([], good_cb) # OK batch_proc([], bad_cb) # Error! Argument 2 has incompatible type because of # different name and kind in the callback
trusted_official_docs
CPython Docs
def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ... batch_proc([], good_cb) # OK batch_proc([], bad_cb) # Error! Argument 2 has incompatible type because of # different name and kind in the callback
def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ... batch_proc([], good_cb) # OK batch_proc([], bad_cb) # Error! Argument 2 has incompatible type because of # different name and kind in the callback
python, official-docs, cpython, P0
Local_Trusted_Corpus
2c76888f-f7ad-4787-a599-f14d3dfd3039
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,754
supabase-export-v2
b9d7212d3d129912
written ``TypeIs`` function can lead to unsound behavior in the type system; it is the user's responsibility to write such functions in a type-safe manner. If a ``TypeIs`` function is a class or instance method, then the type in ``TypeIs`` maps to the type of the second parameter (after ``cls`` or ``self``).
trusted_official_docs
CPython Docs
written ``TypeIs`` function can lead to unsound behavior in the type system; it is the user's responsibility to write such functions in a type-safe manner. If a ``TypeIs`` function is a class or instance method, then the type in ``TypeIs`` maps to the type of the second parameter (after ``cls`` or ``self``).
written ``TypeIs`` function can lead to unsound behavior in the type system; it is the user's responsibility to write such functions in a type-safe manner. If a ``TypeIs`` function is a class or instance method, then the type in ``TypeIs`` maps to the type of the second parameter (after ``cls`` or ``self``).
python, official-docs, cpython, P0
Local_Trusted_Corpus
2cac1cf4-80a2-4e3a-9e91-02e4eb663dd8
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
30,378
supabase-export-v2
7a3b5abdc2ca4347
class Employee: ... # Sequence[Employee] indicates that all elements in the sequence # must be instances of "Employee". # Mapping[str, str] indicates that all keys and all values in the mapping # must be strings. def notify_by_email(employees: Sequence[Employee], overrides: Mapping[str, str]) -> None: ...
trusted_official_docs
CPython Docs
class Employee: ... # Sequence[Employee] indicates that all elements in the sequence # must be instances of "Employee". # Mapping[str, str] indicates that all keys and all values in the mapping # must be strings. def notify_by_email(employees: Sequence[Employee], overrides: Mapping[str, str]) -> None: ...
class Employee: ... # Sequence[Employee] indicates that all elements in the sequence # must be instances of "Employee". # Mapping[str, str] indicates that all keys and all values in the mapping # must be strings. def notify_by_email(employees: Sequence[Employee], overrides: Mapping[str, str]) -> None: ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
dd011cf5a4cd7526
class Mapping[KT, VT]: def __getitem__(self, key: KT) -> VT: ... # Etc. Such a class implicitly inherits from ``Generic``. The runtime semantics of this syntax are discussed in the :ref:`Language Reference <generic-classes>`.
trusted_official_docs
CPython Docs
class Mapping[KT, VT]: def __getitem__(self, key: KT) -> VT: ... # Etc. Such a class implicitly inherits from ``Generic``. The runtime semantics of this syntax are discussed in the :ref:`Language Reference <generic-classes>`.
class Mapping[KT, VT]: def __getitem__(self, key: KT) -> VT: ... # Etc. Such a class implicitly inherits from ``Generic``. The runtime semantics of this syntax are discussed in the :ref:`Language Reference <generic-classes>`.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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However, note that at most one type variable tuple may appear in a single list of type arguments or type parameters:: x: tuple[*Ts, *Ts] # Not valid class Array[*Shape, *Shape]: # Not valid pass
trusted_official_docs
CPython Docs
However, note that at most one type variable tuple may appear in a single list of type arguments or type parameters:: x: tuple[*Ts, *Ts] # Not valid class Array[*Shape, *Shape]: # Not valid pass
However, note that at most one type variable tuple may appear in a single list of type arguments or type parameters:: x: tuple[*Ts, *Ts] # Not valid class Array[*Shape, *Shape]: # Not valid pass
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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Generics ======== Since type information about objects kept in containers cannot be statically inferred in a generic way, many container classes in the standard library support subscription to denote the expected types of container elements.
trusted_official_docs
CPython Docs
Generics ======== Since type information about objects kept in containers cannot be statically inferred in a generic way, many container classes in the standard library support subscription to denote the expected types of container elements.
Generics ======== Since type information about objects kept in containers cannot be statically inferred in a generic way, many container classes in the standard library support subscription to denote the expected types of container elements.
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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Simple generators that only ever yield values can also be annotated as having a return type of either :class:`Iterable[YieldType] <collections.abc.Iterable>` or :class:`Iterator[YieldType] <collections.abc.Iterator>`:: def infinite_stream(start: int) -> Iterator[int]: while True: yield start start += 1
trusted_official_docs
CPython Docs
Simple generators that only ever yield values can also be annotated as having a return type of either :class:`Iterable[YieldType] <collections.abc.Iterable>` or :class:`Iterator[YieldType] <collections.abc.Iterator>`:: def infinite_stream(start: int) -> Iterator[int]: while True: yield start start += 1
Simple generators that only ever yield values can also be annotated as having a return type of either :class:`Iterable[YieldType] <collections.abc.Iterable>` or :class:`Iterator[YieldType] <collections.abc.Iterator>`:: def infinite_stream(start: int) -> Iterator[int]: while True: yield start start += 1
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
31,515
supabase-export-v2
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Deprecated alias to :class:`contextlib.AbstractContextManager`. The first type parameter, ``T_co``, represents the type returned by the :meth:`~object.__enter__` method. The optional second type parameter, ``ExitT_co``, which defaults to ``bool | None``, represents the type returned by the :meth:`~object.__exit__` m...
trusted_official_docs
CPython Docs
Deprecated alias to :class:`contextlib.AbstractContextManager`. The first type parameter, ``T_co``, represents the type returned by the :meth:`~object.__enter__` method. The optional second type parameter, ``ExitT_co``, which defaults to ``bool | None``, represents the type returned by the :meth:`~object.__exit__` m...
Deprecated alias to :class:`contextlib.AbstractContextManager`. The first type parameter, ``T_co``, represents the type returned by the :meth:`~object.__enter__` method. The optional second type parameter, ``ExitT_co``, which defaults to ``bool | None``, represents the type returned by the :meth:`~object.__exit__` m...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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the unpack operator ``*`` on a :ref:`type variable tuple <typevartuple>` is equivalent to using ``Unpack`` to mark the type variable tuple as having been unpacked:: Ts = TypeVarTuple('Ts') tup: tuple[*Ts] # Effectively does: tup: tuple[Unpack[Ts]]
trusted_official_docs
CPython Docs
the unpack operator ``*`` on a :ref:`type variable tuple <typevartuple>` is equivalent to using ``Unpack`` to mark the type variable tuple as having been unpacked:: Ts = TypeVarTuple('Ts') tup: tuple[*Ts] # Effectively does: tup: tuple[Unpack[Ts]]
the unpack operator ``*`` on a :ref:`type variable tuple <typevartuple>` is equivalent to using ``Unpack`` to mark the type variable tuple as having been unpacked:: Ts = TypeVarTuple('Ts') tup: tuple[*Ts] # Effectively does: tup: tuple[Unpack[Ts]]
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
unknown
761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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# The better way of annotating this function: def greet_proper(cond: bool) -> str | bytes: return "hi there!" if cond else b"greetings!" .. deprecated-removed:: 3.13 3.18 Deprecated in favor of the new :ref:`type parameter syntax <type-params>`. Use ``class A[T: (str, bytes)]: ...`` instead of importing ``AnyStr``. Se...
trusted_official_docs
CPython Docs
# The better way of annotating this function: def greet_proper(cond: bool) -> str | bytes: return "hi there!" if cond else b"greetings!" .. deprecated-removed:: 3.13 3.18 Deprecated in favor of the new :ref:`type parameter syntax <type-params>`. Use ``class A[T: (str, bytes)]: ...`` instead of importing ``AnyStr``. Se...
# The better way of annotating this function: def greet_proper(cond: bool) -> str | bytes: return "hi there!" if cond else b"greetings!" .. deprecated-removed:: 3.13 3.18 Deprecated in favor of the new :ref:`type parameter syntax <type-params>`. Use ``class A[T: (str, bytes)]: ...`` instead of importing ``AnyStr``. Se...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
30,742
supabase-export-v2
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Special typing construct for marking user-defined type predicate functions. ``TypeIs`` can be used to annotate the return type of a user-defined type predicate function. ``TypeIs`` only accepts a single type argument. At runtime, functions marked this way should return a boolean and take at least one positional argum...
trusted_official_docs
CPython Docs
Special typing construct for marking user-defined type predicate functions. ``TypeIs`` can be used to annotate the return type of a user-defined type predicate function. ``TypeIs`` only accepts a single type argument. At runtime, functions marked this way should return a boolean and take at least one positional argum...
Special typing construct for marking user-defined type predicate functions. ``TypeIs`` can be used to annotate the return type of a user-defined type predicate function. ``TypeIs`` only accepts a single type argument. At runtime, functions marked this way should return a boolean and take at least one positional argum...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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subtype of ``type[User]`` make_new_user(TeamUser) # Still fine make_new_user(User()) # Error: expected ``type[User]`` but got ``User`` make_new_user(int) # Error: ``type[int]`` is not a subtype of ``type[User]`` The only legal parameters for :class:`type` are classes, :data:`Any`, :ref:`type variables <generics>`, and ...
trusted_official_docs
CPython Docs
subtype of ``type[User]`` make_new_user(TeamUser) # Still fine make_new_user(User()) # Error: expected ``type[User]`` but got ``User`` make_new_user(int) # Error: ``type[int]`` is not a subtype of ``type[User]`` The only legal parameters for :class:`type` are classes, :data:`Any`, :ref:`type variables <generics>`, and ...
subtype of ``type[User]`` make_new_user(TeamUser) # Still fine make_new_user(User()) # Error: expected ``type[User]`` but got ``User`` make_new_user(int) # Error: ``type[int]`` is not a subtype of ``type[User]`` The only legal parameters for :class:`type` are classes, :data:`Any`, :ref:`type variables <generics>`, and ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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:param bool eq_default: Indicates whether the ``eq`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``True``. :param bool order_default: Indicates whether the ``order`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``False``.
trusted_official_docs
CPython Docs
:param bool eq_default: Indicates whether the ``eq`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``True``. :param bool order_default: Indicates whether the ``order`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``False``.
:param bool eq_default: Indicates whether the ``eq`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``True``. :param bool order_default: Indicates whether the ``order`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``False``.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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supabase-export-v2
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# Type checker will infer that all elements in ``x`` are meant to be ints x: list[int] = [] # Type checker error: ``list`` only accepts a single type argument: y: list[int, str] = [1, 'foo']
trusted_official_docs
CPython Docs
# Type checker will infer that all elements in ``x`` are meant to be ints x: list[int] = [] # Type checker error: ``list`` only accepts a single type argument: y: list[int, str] = [1, 'foo']
# Type checker will infer that all elements in ``x`` are meant to be ints x: list[int] = [] # Type checker error: ``list`` only accepts a single type argument: y: list[int, str] = [1, 'foo']
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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def infinite_stream(start: int) -> Iterator[int]: while True: yield start start += 1 Async generators are handled in a similar fashion, but don't expect a ``ReturnType`` type argument (:class:`AsyncGenerator[YieldType, SendType] <collections.abc.AsyncGenerator>`). The ``SendType`` argument defaults to :const:`!None`, s...
trusted_official_docs
CPython Docs
def infinite_stream(start: int) -> Iterator[int]: while True: yield start start += 1 Async generators are handled in a similar fashion, but don't expect a ``ReturnType`` type argument (:class:`AsyncGenerator[YieldType, SendType] <collections.abc.AsyncGenerator>`). The ``SendType`` argument defaults to :const:`!None`, s...
def infinite_stream(start: int) -> Iterator[int]: while True: yield start start += 1 Async generators are handled in a similar fashion, but don't expect a ``ReturnType`` type argument (:class:`AsyncGenerator[YieldType, SendType] <collections.abc.AsyncGenerator>`). The ``SendType`` argument defaults to :const:`!None`, s...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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However, this does not apply to unions referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type A = Union[int, str] Union[A, float] != Union[int, str, float]
trusted_official_docs
CPython Docs
However, this does not apply to unions referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type A = Union[int, str] Union[A, float] != Union[int, str, float]
However, this does not apply to unions referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type A = Union[int, str] Union[A, float] != Union[int, str, float]
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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is assigned to a tuple of length 2; # element 1 is an int, element 2 is a str y: tuple[int, str] = (5, "foo") # Error: the type annotation indicates a tuple of length 1, # but ``z`` has been assigned to a tuple of length 3 z: tuple[int] = (1, 2, 3)
trusted_official_docs
CPython Docs
is assigned to a tuple of length 2; # element 1 is an int, element 2 is a str y: tuple[int, str] = (5, "foo") # Error: the type annotation indicates a tuple of length 1, # but ``z`` has been assigned to a tuple of length 3 z: tuple[int] = (1, 2, 3)
is assigned to a tuple of length 2; # element 1 is an int, element 2 is a str y: tuple[int, str] = (5, "foo") # Error: the type annotation indicates a tuple of length 1, # but ``z`` has been assigned to a tuple of length 3 z: tuple[int] = (1, 2, 3)
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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means that if ``foo(arg)`` returns ``True``, then ``arg`` is an instance of ``TypeB``, and if it returns ``False``, it is not an instance of ``TypeB``. ``TypeIs`` also works with type variables. For more information, see :pep:`742` (Narrowing types with ``TypeIs``).
trusted_official_docs
CPython Docs
means that if ``foo(arg)`` returns ``True``, then ``arg`` is an instance of ``TypeB``, and if it returns ``False``, it is not an instance of ``TypeB``. ``TypeIs`` also works with type variables. For more information, see :pep:`742` (Narrowing types with ``TypeIs``).
means that if ``foo(arg)`` returns ``True``, then ``arg`` is an instance of ``TypeB``, and if it returns ``False``, it is not an instance of ``TypeB``. ``TypeIs`` also works with type variables. For more information, see :pep:`742` (Narrowing types with ``TypeIs``).
python, official-docs, cpython, P0
Local_Trusted_Corpus
33ee820a-ea9b-42d3-b490-676d303a0284
CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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``C``'s base classes with those on ``C`` directly. This is done by traversing :attr:`C.__mro__ <type.__mro__>` and iteratively combining :term:`annotations <variable annotation>` of each base class. Annotations on classes appearing earlier in the :term:`method resolution order` always take precedence over annotations...
trusted_official_docs
CPython Docs
``C``'s base classes with those on ``C`` directly. This is done by traversing :attr:`C.__mro__ <type.__mro__>` and iteratively combining :term:`annotations <variable annotation>` of each base class. Annotations on classes appearing earlier in the :term:`method resolution order` always take precedence over annotations...
``C``'s base classes with those on ``C`` directly. This is done by traversing :attr:`C.__mro__ <type.__mro__>` and iteratively combining :term:`annotations <variable annotation>` of each base class. Annotations on classes appearing earlier in the :term:`method resolution order` always take precedence over annotations...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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Mark a protocol class as a runtime protocol. Such a protocol can be used with :func:`isinstance` and :func:`issubclass`. This allows a simple-minded structural check, very similar to "one trick ponies" in :mod:`collections.abc` such as :class:`~collections.abc.Iterable`. For example::
trusted_official_docs
CPython Docs
Mark a protocol class as a runtime protocol. Such a protocol can be used with :func:`isinstance` and :func:`issubclass`. This allows a simple-minded structural check, very similar to "one trick ponies" in :mod:`collections.abc` such as :class:`~collections.abc.Iterable`. For example::
Mark a protocol class as a runtime protocol. Such a protocol can be used with :func:`isinstance` and :func:`issubclass`. This allows a simple-minded structural check, very similar to "one trick ponies" in :mod:`collections.abc` such as :class:`~collections.abc.Iterable`. For example::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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.. note:: The Python runtime does not enforce function and variable type annotations. They can be used by third party tools such as :term:`type checkers <static type checker>`, IDEs, linters, etc.
trusted_official_docs
CPython Docs
.. note:: The Python runtime does not enforce function and variable type annotations. They can be used by third party tools such as :term:`type checkers <static type checker>`, IDEs, linters, etc.
.. note:: The Python runtime does not enforce function and variable type annotations. They can be used by third party tools such as :term:`type checkers <static type checker>`, IDEs, linters, etc.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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Coroutines can be annotated using :class:`Coroutine[YieldType, SendType, ReturnType] <collections.abc.Coroutine>`. Generic arguments correspond to those of :class:`~collections.abc.Generator`, for example:: from collections.abc import Coroutine c: Coroutine[list[str], str, int] # Some coroutine defined elsewhere x = ...
trusted_official_docs
CPython Docs
Coroutines can be annotated using :class:`Coroutine[YieldType, SendType, ReturnType] <collections.abc.Coroutine>`. Generic arguments correspond to those of :class:`~collections.abc.Generator`, for example:: from collections.abc import Coroutine c: Coroutine[list[str], str, int] # Some coroutine defined elsewhere x = ...
Coroutines can be annotated using :class:`Coroutine[YieldType, SendType, ReturnType] <collections.abc.Coroutine>`. Generic arguments correspond to those of :class:`~collections.abc.Generator`, for example:: from collections.abc import Coroutine c: Coroutine[list[str], str, int] # Some coroutine defined elsewhere x = ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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At runtime this does nothing: it returns the first argument unchanged with no checks or side effects, no matter the actual type of the argument. When a static type checker encounters a call to ``assert_type()``, it emits an error if the value is not of the specified type::
trusted_official_docs
CPython Docs
At runtime this does nothing: it returns the first argument unchanged with no checks or side effects, no matter the actual type of the argument. When a static type checker encounters a call to ``assert_type()``, it emits an error if the value is not of the specified type::
At runtime this does nothing: it returns the first argument unchanged with no checks or side effects, no matter the actual type of the argument. When a static type checker encounters a call to ``assert_type()``, it emits an error if the value is not of the specified type::
python, official-docs, cpython, P0
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assert Annotated[Annotated[int, ValueRange(3, 10)], ctype("char")] == Annotated[ int, ValueRange(3, 10), ctype("char") ] However, this does not apply to ``Annotated`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`::
trusted_official_docs
CPython Docs
assert Annotated[Annotated[int, ValueRange(3, 10)], ctype("char")] == Annotated[ int, ValueRange(3, 10), ctype("char") ] However, this does not apply to ``Annotated`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`::
assert Annotated[Annotated[int, ValueRange(3, 10)], ctype("char")] == Annotated[ int, ValueRange(3, 10), ctype("char") ] However, this does not apply to ``Annotated`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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This value encodes the information supplied in the type expression, and it represents the type described by that type expression. When used in a type expression, ``TypeForm`` describes a set of type form objects. It accepts a single type argument, which must be a valid type expression. ``TypeForm[T]`` describes the s...
trusted_official_docs
CPython Docs
This value encodes the information supplied in the type expression, and it represents the type described by that type expression. When used in a type expression, ``TypeForm`` describes a set of type form objects. It accepts a single type argument, which must be a valid type expression. ``TypeForm[T]`` describes the s...
This value encodes the information supplied in the type expression, and it represents the type described by that type expression. When used in a type expression, ``TypeForm`` describes a set of type form objects. It accepts a single type argument, which must be a valid type expression. ``TypeForm[T]`` describes the s...
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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def move_first_element_to_last(tup: tuple[T, *Ts]) -> tuple[*Ts, T]: return (*tup[1:], tup[0]) A normal type variable enables parameterization with a single type. A type variable tuple, in contrast, allows parameterization with an *arbitrary* number of types by acting like an *arbitrary* number of type variables wra...
trusted_official_docs
CPython Docs
def move_first_element_to_last(tup: tuple[T, *Ts]) -> tuple[*Ts, T]: return (*tup[1:], tup[0]) A normal type variable enables parameterization with a single type. A type variable tuple, in contrast, allows parameterization with an *arbitrary* number of types by acting like an *arbitrary* number of type variables wra...
def move_first_element_to_last(tup: tuple[T, *Ts]) -> tuple[*Ts, T]: return (*tup[1:], tup[0]) A normal type variable enables parameterization with a single type. A type variable tuple, in contrast, allows parameterization with an *arbitrary* number of types by acting like an *arbitrary* number of type variables wra...
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However, this does not apply to ``Annotated`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type From3To10[T] = Annotated[T, ValueRange(3, 10)] assert Annotated[From3To10[int], ctype("char")] != Annotated[ int, ValueRange(3, 10), ctype("char") ]
trusted_official_docs
CPython Docs
However, this does not apply to ``Annotated`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type From3To10[T] = Annotated[T, ValueRange(3, 10)] assert Annotated[From3To10[int], ctype("char")] != Annotated[ int, ValueRange(3, 10), ctype("char") ]
However, this does not apply to ``Annotated`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type From3To10[T] = Annotated[T, ValueRange(3, 10)] assert Annotated[From3To10[int], ctype("char")] != Annotated[ int, ValueRange(3, 10), ctype("char") ]
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>>> from typing import Annotated >>> X = Annotated[int, "very", "important", "metadata"] >>> X typing.Annotated[int, 'very', 'important', 'metadata'] >>> X.__metadata__ ('very', 'important', 'metadata') If you want to retrieve the original type wrapped by ``Annotated``, use the :attr:`!__origin__` attribute:
trusted_official_docs
CPython Docs
>>> from typing import Annotated >>> X = Annotated[int, "very", "important", "metadata"] >>> X typing.Annotated[int, 'very', 'important', 'metadata'] >>> X.__metadata__ ('very', 'important', 'metadata') If you want to retrieve the original type wrapped by ``Annotated``, use the :attr:`!__origin__` attribute:
>>> from typing import Annotated >>> X = Annotated[int, "very", "important", "metadata"] >>> X typing.Annotated[int, 'very', 'important', 'metadata'] >>> X.__metadata__ ('very', 'important', 'metadata') If you want to retrieve the original type wrapped by ``Annotated``, use the :attr:`!__origin__` attribute:
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def lookup_name[X, Y](mapping: Mapping[X, Y], key: X, default: Y) -> Y: try: return mapping[key] except KeyError: return default Here the brackets after the function name indicate a :ref:`generic function <generic-functions>`.
trusted_official_docs
CPython Docs
def lookup_name[X, Y](mapping: Mapping[X, Y], key: X, default: Y) -> Y: try: return mapping[key] except KeyError: return default Here the brackets after the function name indicate a :ref:`generic function <generic-functions>`.
def lookup_name[X, Y](mapping: Mapping[X, Y], key: X, default: Y) -> Y: try: return mapping[key] except KeyError: return default Here the brackets after the function name indicate a :ref:`generic function <generic-functions>`.
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Fields with a default value must come after any fields without a default. The resulting class has an extra attribute ``__annotations__`` giving a dict that maps the field names to the field types. (The field names are in the ``_fields`` attribute and the default values are in the ``_field_defaults`` attribute, both ...
trusted_official_docs
CPython Docs
Fields with a default value must come after any fields without a default. The resulting class has an extra attribute ``__annotations__`` giving a dict that maps the field names to the field types. (The field names are in the ``_fields`` attribute and the default values are in the ``_field_defaults`` attribute, both ...
Fields with a default value must come after any fields without a default. The resulting class has an extra attribute ``__annotations__`` giving a dict that maps the field names to the field types. (The field names are in the ``_fields`` attribute and the default values are in the ``_field_defaults`` attribute, both ...
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However, this does not apply to ``Literal`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type A = Literal[1, 2] assert Literal[A, 3] != Literal[1, 2, 3]
trusted_official_docs
CPython Docs
However, this does not apply to ``Literal`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type A = Literal[1, 2] assert Literal[A, 3] != Literal[1, 2, 3]
However, this does not apply to ``Literal`` types referenced through a type alias, to avoid forcing evaluation of the underlying :class:`TypeAliasType`:: type A = Literal[1, 2] assert Literal[A, 3] != Literal[1, 2, 3]
python, official-docs, cpython, P0
Local_Trusted_Corpus
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def print_capitalized[S: str](x: S) -> S: """Print x capitalized, and return x.""" print(x.capitalize()) return x def concatenate[A: (str, bytes)](x: A, y: A) -> A: """Add two strings or bytes objects together.""" return x + y
trusted_official_docs
CPython Docs
def print_capitalized[S: str](x: S) -> S: """Print x capitalized, and return x.""" print(x.capitalize()) return x def concatenate[A: (str, bytes)](x: A, y: A) -> A: """Add two strings or bytes objects together.""" return x + y
def print_capitalized[S: str](x: S) -> S: """Print x capitalized, and return x.""" print(x.capitalize()) return x def concatenate[A: (str, bytes)](x: A, y: A) -> A: """Add two strings or bytes objects together.""" return x + y
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class Base: @final def done(self) -> None: ... class Sub(Base): def done(self) -> None: # Error reported by type checker ... @final class Leaf: ... class Other(Leaf): # Error reported by type checker ...
trusted_official_docs
CPython Docs
class Base: @final def done(self) -> None: ... class Sub(Base): def done(self) -> None: # Error reported by type checker ... @final class Leaf: ... class Other(Leaf): # Error reported by type checker ...
class Base: @final def done(self) -> None: ... class Sub(Base): def done(self) -> None: # Error reported by type checker ... @final class Leaf: ... class Other(Leaf): # Error reported by type checker ...
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# Type checker error: ``list`` only accepts a single type argument: y: list[int, str] = [1, 'foo'] # Type checker will infer that all keys in ``z`` are meant to be strings, # and that all values in ``z`` are meant to be either strings or ints z: Mapping[str, str | int] = {}
trusted_official_docs
CPython Docs
# Type checker error: ``list`` only accepts a single type argument: y: list[int, str] = [1, 'foo'] # Type checker will infer that all keys in ``z`` are meant to be strings, # and that all values in ``z`` are meant to be either strings or ints z: Mapping[str, str | int] = {}
# Type checker error: ``list`` only accepts a single type argument: y: list[int, str] = [1, 'foo'] # Type checker will infer that all keys in ``z`` are meant to be strings, # and that all values in ``z`` are meant to be either strings or ints z: Mapping[str, str | int] = {}
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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Note that the runtime type may be different from (more or less specific than) the type statically inferred by a type checker. Most type checkers support ``reveal_type()`` anywhere, even if the name is not imported from ``typing``. Importing the name from ``typing``, however, allows your code to run without runtime er...
trusted_official_docs
CPython Docs
Note that the runtime type may be different from (more or less specific than) the type statically inferred by a type checker. Most type checkers support ``reveal_type()`` anywhere, even if the name is not imported from ``typing``. Importing the name from ``typing``, however, allows your code to run without runtime er...
Note that the runtime type may be different from (more or less specific than) the type statically inferred by a type checker. Most type checkers support ``reveal_type()`` anywhere, even if the name is not imported from ``typing``. Importing the name from ``typing``, however, allows your code to run without runtime er...
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Local_Trusted_Corpus
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The upper bound of a type variable can be a concrete type, abstract type (ABC or Protocol), or even a union of types:: # Can be anything with an __abs__ method def print_abs[T: SupportsAbs](arg: T) -> None: print("Absolute value:", abs(arg))
trusted_official_docs
CPython Docs
The upper bound of a type variable can be a concrete type, abstract type (ABC or Protocol), or even a union of types:: # Can be anything with an __abs__ method def print_abs[T: SupportsAbs](arg: T) -> None: print("Absolute value:", abs(arg))
The upper bound of a type variable can be a concrete type, abstract type (ABC or Protocol), or even a union of types:: # Can be anything with an __abs__ method def print_abs[T: SupportsAbs](arg: T) -> None: print("Absolute value:", abs(arg))
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Local_Trusted_Corpus
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def foo(arg: int = 0) -> None: ... On the other hand, if an explicit value of ``None`` is allowed, the use of ``Optional`` is appropriate, whether the argument is optional or not. For example::
trusted_official_docs
CPython Docs
def foo(arg: int = 0) -> None: ... On the other hand, if an explicit value of ``None`` is allowed, the use of ``Optional`` is appropriate, whether the argument is optional or not. For example::
def foo(arg: int = 0) -> None: ... On the other hand, if an explicit value of ``None`` is allowed, the use of ``Optional`` is appropriate, whether the argument is optional or not. For example::
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CPython Docs
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indicates that a given attribute is intended to be used as a class variable and should not be set on instances of that class. Usage:: class Starship: stats: ClassVar[dict[str, int]] = {} # class variable damage: int = 10 # instance variable
trusted_official_docs
CPython Docs
indicates that a given attribute is intended to be used as a class variable and should not be set on instances of that class. Usage:: class Starship: stats: ClassVar[dict[str, int]] = {} # class variable damage: int = 10 # instance variable
indicates that a given attribute is intended to be used as a class variable and should not be set on instances of that class. Usage:: class Starship: stats: ClassVar[dict[str, int]] = {} # class variable damage: int = 10 # instance variable
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:param bool kw_only_default: Indicates whether the ``kw_only`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``False``. :param bool frozen_default: Indicates whether the ``frozen`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults ...
trusted_official_docs
CPython Docs
:param bool kw_only_default: Indicates whether the ``kw_only`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``False``. :param bool frozen_default: Indicates whether the ``frozen`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults ...
:param bool kw_only_default: Indicates whether the ``kw_only`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``False``. :param bool frozen_default: Indicates whether the ``frozen`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults ...
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.. note:: Only parameter specification variables defined in global scope can be pickled. .. seealso:: * :pep:`612` -- Parameter Specification Variables (the PEP which introduced ``ParamSpec`` and ``Concatenate``) * :data:`Concatenate` * :ref:`annotating-callables`
trusted_official_docs
CPython Docs
.. note:: Only parameter specification variables defined in global scope can be pickled. .. seealso:: * :pep:`612` -- Parameter Specification Variables (the PEP which introduced ``ParamSpec`` and ``Concatenate``) * :data:`Concatenate` * :ref:`annotating-callables`
.. note:: Only parameter specification variables defined in global scope can be pickled. .. seealso:: * :pep:`612` -- Parameter Specification Variables (the PEP which introduced ``ParamSpec`` and ``Concatenate``) * :data:`Concatenate` * :ref:`annotating-callables`
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Type variable tuples must *always* be unpacked. This helps distinguish type variable tuples from normal type variables:: x: Ts # Not valid x: tuple[Ts] # Not valid x: tuple[*Ts] # The correct way to do it
trusted_official_docs
CPython Docs
Type variable tuples must *always* be unpacked. This helps distinguish type variable tuples from normal type variables:: x: Ts # Not valid x: tuple[Ts] # Not valid x: tuple[*Ts] # The correct way to do it
Type variable tuples must *always* be unpacked. This helps distinguish type variable tuples from normal type variables:: x: Ts # Not valid x: tuple[Ts] # Not valid x: tuple[*Ts] # The correct way to do it
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file://datasets/cpython/Doc/library/typing.rst
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.. versionadded:: 3.13 Parameter specification variables created with ``covariant=True`` or ``contravariant=True`` can be used to declare covariant or contravariant generic types. The ``bound`` argument is also accepted, similar to :class:`TypeVar`. However the actual semantics of these keywords are yet to be decid...
trusted_official_docs
CPython Docs
.. versionadded:: 3.13 Parameter specification variables created with ``covariant=True`` or ``contravariant=True`` can be used to declare covariant or contravariant generic types. The ``bound`` argument is also accepted, similar to :class:`TypeVar`. However the actual semantics of these keywords are yet to be decid...
.. versionadded:: 3.13 Parameter specification variables created with ``covariant=True`` or ``contravariant=True`` can be used to declare covariant or contravariant generic types. The ``bound`` argument is also accepted, similar to :class:`TypeVar`. However the actual semantics of these keywords are yet to be decid...
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Ts = TypeVarTuple('Ts') tup: tuple[*Ts] # Syntax error on Python <= 3.10! tup: tuple[Unpack[Ts]] # Semantically equivalent, and backwards-compatible ``Unpack`` can also be used along with :class:`typing.TypedDict` for typing ``**kwargs`` in a function signature::
trusted_official_docs
CPython Docs
Ts = TypeVarTuple('Ts') tup: tuple[*Ts] # Syntax error on Python <= 3.10! tup: tuple[Unpack[Ts]] # Semantically equivalent, and backwards-compatible ``Unpack`` can also be used along with :class:`typing.TypedDict` for typing ``**kwargs`` in a function signature::
Ts = TypeVarTuple('Ts') tup: tuple[*Ts] # Syntax error on Python <= 3.10! tup: tuple[Unpack[Ts]] # Semantically equivalent, and backwards-compatible ``Unpack`` can also be used along with :class:`typing.TypedDict` for typing ``**kwargs`` in a function signature::
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The arguments to the ``dataclass_transform`` decorator can be used to customize the default behaviors of the decorated class, metaclass, or function: :param bool eq_default: Indicates whether the ``eq`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``True``.
trusted_official_docs
CPython Docs
The arguments to the ``dataclass_transform`` decorator can be used to customize the default behaviors of the decorated class, metaclass, or function: :param bool eq_default: Indicates whether the ``eq`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``True``.
The arguments to the ``dataclass_transform`` decorator can be used to customize the default behaviors of the decorated class, metaclass, or function: :param bool eq_default: Indicates whether the ``eq`` parameter is assumed to be ``True`` or ``False`` if it is omitted by the caller. Defaults to ``True``.
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<TypeVarTuple>` and :class:`builtins.tuple <tuple>` types. You might see ``Unpack`` being used explicitly in older versions of Python, where ``*`` couldn't be used in certain places:: # In older versions of Python, TypeVarTuple and Unpack # are located in the `typing_extensions` backports package. from typing_extensio...
trusted_official_docs
CPython Docs
<TypeVarTuple>` and :class:`builtins.tuple <tuple>` types. You might see ``Unpack`` being used explicitly in older versions of Python, where ``*`` couldn't be used in certain places:: # In older versions of Python, TypeVarTuple and Unpack # are located in the `typing_extensions` backports package. from typing_extensio...
<TypeVarTuple>` and :class:`builtins.tuple <tuple>` types. You might see ``Unpack`` being used explicitly in older versions of Python, where ``*`` couldn't be used in certain places:: # In older versions of Python, TypeVarTuple and Unpack # are located in the `typing_extensions` backports package. from typing_extensio...
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it, and assigning it to a variable (or using it as a return value) of a more specialized type is a type error. For example:: def hash_a(item: object) -> int: # Fails type checking; an object does not have a 'magic' method. item.magic() ...
trusted_official_docs
CPython Docs
it, and assigning it to a variable (or using it as a return value) of a more specialized type is a type error. For example:: def hash_a(item: object) -> int: # Fails type checking; an object does not have a 'magic' method. item.magic() ...
it, and assigning it to a variable (or using it as a return value) of a more specialized type is a type error. For example:: def hash_a(item: object) -> int: # Fails type checking; an object does not have a 'magic' method. item.magic() ...
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.. method:: has_default() Return whether or not the parameter specification has a default value. This is equivalent to checking whether :attr:`__default__` is not the :data:`typing.NoDefault` singleton, except that it does not force evaluation of the :ref:`lazily evaluated <lazy-evaluation>` default value.
trusted_official_docs
CPython Docs
.. method:: has_default() Return whether or not the parameter specification has a default value. This is equivalent to checking whether :attr:`__default__` is not the :data:`typing.NoDefault` singleton, except that it does not force evaluation of the :ref:`lazily evaluated <lazy-evaluation>` default value.
.. method:: has_default() Return whether or not the parameter specification has a default value. This is equivalent to checking whether :attr:`__default__` is not the :data:`typing.NoDefault` singleton, except that it does not force evaluation of the :ref:`lazily evaluated <lazy-evaluation>` default value.
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Note that generics with :class:`ParamSpec` may not have correct ``__parameters__`` after substitution in some cases because they are intended primarily for static type checking. .. versionchanged:: 3.10 :class:`Generic` can now be parameterized over parameter expressions. See :class:`ParamSpec` and :pep:`612` for more...
trusted_official_docs
CPython Docs
Note that generics with :class:`ParamSpec` may not have correct ``__parameters__`` after substitution in some cases because they are intended primarily for static type checking. .. versionchanged:: 3.10 :class:`Generic` can now be parameterized over parameter expressions. See :class:`ParamSpec` and :pep:`612` for more...
Note that generics with :class:`ParamSpec` may not have correct ``__parameters__`` after substitution in some cases because they are intended primarily for static type checking. .. versionchanged:: 3.10 :class:`Generic` can now be parameterized over parameter expressions. See :class:`ParamSpec` and :pep:`612` for more...
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x]``. Metadata added using ``Annotated`` can be used by static analysis tools or at runtime. At runtime, the metadata is stored in a :attr:`!__metadata__` attribute. If a library or tool encounters an annotation ``Annotated[T, x]`` and has no special logic for the metadata, it should ignore the metadata and simply tr...
trusted_official_docs
CPython Docs
x]``. Metadata added using ``Annotated`` can be used by static analysis tools or at runtime. At runtime, the metadata is stored in a :attr:`!__metadata__` attribute. If a library or tool encounters an annotation ``Annotated[T, x]`` and has no special logic for the metadata, it should ignore the metadata and simply tr...
x]``. Metadata added using ``Annotated`` can be used by static analysis tools or at runtime. At runtime, the metadata is stored in a :attr:`!__metadata__` attribute. If a library or tool encounters an annotation ``Annotated[T, x]`` and has no special logic for the metadata, it should ignore the metadata and simply tr...
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class Bucket(Sized, Iterable[int]): ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[int]: ... :pep:`544` solves this problem by allowing users to write the above code without explicit base classes in the class definition, allowing ``Bucket`` to be implicitly considered a subtype of both ``Sized`` and `...
trusted_official_docs
CPython Docs
class Bucket(Sized, Iterable[int]): ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[int]: ... :pep:`544` solves this problem by allowing users to write the above code without explicit base classes in the class definition, allowing ``Bucket`` to be implicitly considered a subtype of both ``Sized`` and `...
class Bucket(Sized, Iterable[int]): ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[int]: ... :pep:`544` solves this problem by allowing users to write the above code without explicit base classes in the class definition, allowing ``Bucket`` to be implicitly considered a subtype of both ``Sized`` and `...
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class Point2D(TypedDict): x: int y: int label: str a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check
trusted_official_docs
CPython Docs
class Point2D(TypedDict): x: int y: int label: str a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check
class Point2D(TypedDict): x: int y: int label: str a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check
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This function is useful for ensuring the type checker's understanding of a script is in line with the developer's intentions:: def complex_function(arg: object): # Do some complex type-narrowing logic, # after which we hope the inferred type will be `int` ... # Test whether the type checker correctly understands our...
trusted_official_docs
CPython Docs
This function is useful for ensuring the type checker's understanding of a script is in line with the developer's intentions:: def complex_function(arg: object): # Do some complex type-narrowing logic, # after which we hope the inferred type will be `int` ... # Test whether the type checker correctly understands our...
This function is useful for ensuring the type checker's understanding of a script is in line with the developer's intentions:: def complex_function(arg: object): # Do some complex type-narrowing logic, # after which we hope the inferred type will be `int` ... # Test whether the type checker correctly understands our...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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Special typing construct for marking user-defined type predicate functions. Type predicate functions are user-defined functions that return whether their argument is an instance of a particular type. ``TypeGuard`` works similarly to :data:`TypeIs`, but has subtly different effects on type checking behavior (see below...
trusted_official_docs
CPython Docs
Special typing construct for marking user-defined type predicate functions. Type predicate functions are user-defined functions that return whether their argument is an instance of a particular type. ``TypeGuard`` works similarly to :data:`TypeIs`, but has subtly different effects on type checking behavior (see below...
Special typing construct for marking user-defined type predicate functions. Type predicate functions are user-defined functions that return whether their argument is an instance of a particular type. ``TypeGuard`` works similarly to :data:`TypeIs`, but has subtly different effects on type checking behavior (see below...
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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.. data:: ParamSpecArgs ParamSpecKwargs Arguments and keyword arguments attributes of a :class:`ParamSpec`. The ``P.args`` attribute of a ``ParamSpec`` is an instance of ``ParamSpecArgs``, and ``P.kwargs`` is an instance of ``ParamSpecKwargs``. They are intended for runtime introspection and have no special meaning ...
trusted_official_docs
CPython Docs
.. data:: ParamSpecArgs ParamSpecKwargs Arguments and keyword arguments attributes of a :class:`ParamSpec`. The ``P.args`` attribute of a ``ParamSpec`` is an instance of ``ParamSpecArgs``, and ``P.kwargs`` is an instance of ``ParamSpecKwargs``. They are intended for runtime introspection and have no special meaning ...
.. data:: ParamSpecArgs ParamSpecKwargs Arguments and keyword arguments attributes of a :class:`ParamSpec`. The ``P.args`` attribute of a ``ParamSpec`` is an instance of ``ParamSpecArgs``, and ``P.kwargs`` is an instance of ``ParamSpecKwargs``. They are intended for runtime introspection and have no special meaning ...
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CPython Docs
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supabase-export-v2
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# When used in a type annotation, a type checker will treat "V" the same as # ``Annotated[list[tuple[int, int]], MaxLen(10)]``: type V = Vec[int] ``Annotated`` cannot be used with an unpacked :class:`TypeVarTuple`::
trusted_official_docs
CPython Docs
# When used in a type annotation, a type checker will treat "V" the same as # ``Annotated[list[tuple[int, int]], MaxLen(10)]``: type V = Vec[int] ``Annotated`` cannot be used with an unpacked :class:`TypeVarTuple`::
# When used in a type annotation, a type checker will treat "V" the same as # ``Annotated[list[tuple[int, int]], MaxLen(10)]``: type V = Vec[int] ``Annotated`` cannot be used with an unpacked :class:`TypeVarTuple`::
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supabase-export-v2
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.. versionchanged:: 3.12 For type variables created through :ref:`type parameter syntax <type-params>`, the constraints are evaluated only when the attribute is accessed, not when the type variable is created (see :ref:`lazy-evaluation`).
trusted_official_docs
CPython Docs
.. versionchanged:: 3.12 For type variables created through :ref:`type parameter syntax <type-params>`, the constraints are evaluated only when the attribute is accessed, not when the type variable is created (see :ref:`lazy-evaluation`).
.. versionchanged:: 3.12 For type variables created through :ref:`type parameter syntax <type-params>`, the constraints are evaluated only when the attribute is accessed, not when the type variable is created (see :ref:`lazy-evaluation`).
python, official-docs, cpython, P0
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CPython Docs
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is equivalent to ``tuple[T, T1, T2, ...]``. (Note that in older versions of Python, you might see this written using :data:`Unpack <Unpack>` instead, as ``Unpack[Ts]``.) Type variable tuples must *always* be unpacked. This helps distinguish type variable tuples from normal type variables::
trusted_official_docs
CPython Docs
is equivalent to ``tuple[T, T1, T2, ...]``. (Note that in older versions of Python, you might see this written using :data:`Unpack <Unpack>` instead, as ``Unpack[Ts]``.) Type variable tuples must *always* be unpacked. This helps distinguish type variable tuples from normal type variables::
is equivalent to ``tuple[T, T1, T2, ...]``. (Note that in older versions of Python, you might see this written using :data:`Unpack <Unpack>` instead, as ``Unpack[Ts]``.) Type variable tuples must *always* be unpacked. This helps distinguish type variable tuples from normal type variables::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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None: ... @overload def process(response: int) -> tuple[int, str]: ... @overload def process(response: bytes) -> str: ... def process(response): ... # actual implementation goes here See :pep:`484` for more details and comparison with other typing semantics.
trusted_official_docs
CPython Docs
None: ... @overload def process(response: int) -> tuple[int, str]: ... @overload def process(response: bytes) -> str: ... def process(response): ... # actual implementation goes here See :pep:`484` for more details and comparison with other typing semantics.
None: ... @overload def process(response: int) -> tuple[int, str]: ... @overload def process(response: bytes) -> str: ... def process(response): ... # actual implementation goes here See :pep:`484` for more details and comparison with other typing semantics.
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Local_Trusted_Corpus
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CPython Docs
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``eq``, ``order``, ``unsafe_hash``, ``frozen``, ``match_args``, ``kw_only``, and ``slots``. It must be possible for the value of these arguments (``True`` or ``False``) to be statically evaluated. The arguments to the ``dataclass_transform`` decorator can be used to customize the default behaviors of the decorated cla...
trusted_official_docs
CPython Docs
``eq``, ``order``, ``unsafe_hash``, ``frozen``, ``match_args``, ``kw_only``, and ``slots``. It must be possible for the value of these arguments (``True`` or ``False``) to be statically evaluated. The arguments to the ``dataclass_transform`` decorator can be used to customize the default behaviors of the decorated cla...
``eq``, ``order``, ``unsafe_hash``, ``frozen``, ``match_args``, ``kw_only``, and ``slots``. It must be possible for the value of these arguments (``True`` or ``False``) to be statically evaluated. The arguments to the ``dataclass_transform`` decorator can be used to customize the default behaviors of the decorated cla...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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761dcd07-e75b-4e99-a2c4-881ccac2b544
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supabase-export-v2
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.. versionchanged:: 3.8 The ``_field_types`` and ``__annotations__`` attributes are now regular dictionaries instead of instances of ``OrderedDict``. .. versionchanged:: 3.9 Removed the ``_field_types`` attribute in favor of the more standard ``__annotations__`` attribute which has the same information.
trusted_official_docs
CPython Docs
.. versionchanged:: 3.8 The ``_field_types`` and ``__annotations__`` attributes are now regular dictionaries instead of instances of ``OrderedDict``. .. versionchanged:: 3.9 Removed the ``_field_types`` attribute in favor of the more standard ``__annotations__`` attribute which has the same information.
.. versionchanged:: 3.8 The ``_field_types`` and ``__annotations__`` attributes are now regular dictionaries instead of instances of ``OrderedDict``. .. versionchanged:: 3.9 Removed the ``_field_types`` attribute in favor of the more standard ``__annotations__`` attribute which has the same information.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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can be simple classes like :class:`float` or :class:`str`, they can also be more complex. The :mod:`typing` module provides a vocabulary of more advanced type hints. New features are frequently added to the ``typing`` module. The :pypi:`typing_extensions` package provides backports of these new features to older versio...
trusted_official_docs
CPython Docs
can be simple classes like :class:`float` or :class:`str`, they can also be more complex. The :mod:`typing` module provides a vocabulary of more advanced type hints. New features are frequently added to the ``typing`` module. The :pypi:`typing_extensions` package provides backports of these new features to older versio...
can be simple classes like :class:`float` or :class:`str`, they can also be more complex. The :mod:`typing` module provides a vocabulary of more advanced type hints. New features are frequently added to the ``typing`` module. The :pypi:`typing_extensions` package provides backports of these new features to older versio...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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Decorator to indicate that annotations are not type hints. This works as a class or function :term:`decorator`. With a class, it applies recursively to all methods and classes defined in that class (but not to methods defined in its superclasses or subclasses). Type checkers will ignore all annotations in a function...
trusted_official_docs
CPython Docs
Decorator to indicate that annotations are not type hints. This works as a class or function :term:`decorator`. With a class, it applies recursively to all methods and classes defined in that class (but not to methods defined in its superclasses or subclasses). Type checkers will ignore all annotations in a function...
Decorator to indicate that annotations are not type hints. This works as a class or function :term:`decorator`. With a class, it applies recursively to all methods and classes defined in that class (but not to methods defined in its superclasses or subclasses). Type checkers will ignore all annotations in a function...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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supabase-export-v2
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Return a sequence of :deco:`overload`-decorated definitions for *func*. *func* is the function object for the implementation of the overloaded function. For example, given the definition of ``process`` in the documentation for :deco:`overload`, ``get_overloads(process)`` will return a sequence of three function obje...
trusted_official_docs
CPython Docs
Return a sequence of :deco:`overload`-decorated definitions for *func*. *func* is the function object for the implementation of the overloaded function. For example, given the definition of ``process`` in the documentation for :deco:`overload`, ``get_overloads(process)`` will return a sequence of three function obje...
Return a sequence of :deco:`overload`-decorated definitions for *func*. *func* is the function object for the implementation of the overloaded function. For example, given the definition of ``process`` in the documentation for :deco:`overload`, ``get_overloads(process)`` will return a sequence of three function obje...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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.. class:: IO[AnyStr] TextIO BinaryIO Generic class ``IO[AnyStr]`` and its subclasses ``TextIO(IO[str])`` and ``BinaryIO(IO[bytes])`` represent the types of I/O streams such as returned by :func:`open`. Please note that these classes are not protocols, and their interface is fairly broad.
trusted_official_docs
CPython Docs
.. class:: IO[AnyStr] TextIO BinaryIO Generic class ``IO[AnyStr]`` and its subclasses ``TextIO(IO[str])`` and ``BinaryIO(IO[bytes])`` represent the types of I/O streams such as returned by :func:`open`. Please note that these classes are not protocols, and their interface is fairly broad.
.. class:: IO[AnyStr] TextIO BinaryIO Generic class ``IO[AnyStr]`` and its subclasses ``TextIO(IO[str])`` and ``BinaryIO(IO[bytes])`` represent the types of I/O streams such as returned by :func:`open`. Please note that these classes are not protocols, and their interface is fairly broad.
python, official-docs, cpython, P0
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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be used with :func:`isinstance` and :func:`issubclass`. This allows a simple-minded structural check, very similar to "one trick ponies" in :mod:`collections.abc` such as :class:`~collections.abc.Iterable`. For example:: @runtime_checkable class Closable(Protocol): def close(self): ...
trusted_official_docs
CPython Docs
be used with :func:`isinstance` and :func:`issubclass`. This allows a simple-minded structural check, very similar to "one trick ponies" in :mod:`collections.abc` such as :class:`~collections.abc.Iterable`. For example:: @runtime_checkable class Closable(Protocol): def close(self): ...
be used with :func:`isinstance` and :func:`issubclass`. This allows a simple-minded structural check, very similar to "one trick ponies" in :mod:`collections.abc` such as :class:`~collections.abc.Iterable`. For example:: @runtime_checkable class Closable(Protocol): def close(self): ...
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Local_Trusted_Corpus
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CPython Docs
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Type variable tuples can be declared in :ref:`type parameter lists <type-params>` using a single asterisk (``*``) before the name:: def move_first_element_to_last[T, *Ts](tup: tuple[T, *Ts]) -> tuple[*Ts, T]: return (*tup[1:], tup[0])
trusted_official_docs
CPython Docs
Type variable tuples can be declared in :ref:`type parameter lists <type-params>` using a single asterisk (``*``) before the name:: def move_first_element_to_last[T, *Ts](tup: tuple[T, *Ts]) -> tuple[*Ts, T]: return (*tup[1:], tup[0])
Type variable tuples can be declared in :ref:`type parameter lists <type-params>` using a single asterisk (``*``) before the name:: def move_first_element_to_last[T, *Ts](tup: tuple[T, *Ts]) -> tuple[*Ts, T]: return (*tup[1:], tup[0])
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x = reveal_type(1) # prints "Runtime type is int" print(x) # prints "1" Note that the runtime type may be different from (more or less specific than) the type statically inferred by a type checker.
trusted_official_docs
CPython Docs
x = reveal_type(1) # prints "Runtime type is int" print(x) # prints "1" Note that the runtime type may be different from (more or less specific than) the type statically inferred by a type checker.
x = reveal_type(1) # prints "Runtime type is int" print(x) # prints "1" Note that the runtime type may be different from (more or less specific than) the type statically inferred by a type checker.
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Local_Trusted_Corpus
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- :class:`classmethod`\s that are used as alternative constructors and return instances of the ``cls`` parameter. - Annotating an :meth:`~object.__enter__` method which returns self. You should not use ``Self`` as the return annotation if the method is not guaranteed to return an instance of a subclass when the class ...
trusted_official_docs
CPython Docs
- :class:`classmethod`\s that are used as alternative constructors and return instances of the ``cls`` parameter. - Annotating an :meth:`~object.__enter__` method which returns self. You should not use ``Self`` as the return annotation if the method is not guaranteed to return an instance of a subclass when the class ...
- :class:`classmethod`\s that are used as alternative constructors and return instances of the ``cls`` parameter. - Annotating an :meth:`~object.__enter__` method which returns self. You should not use ``Self`` as the return annotation if the method is not guaranteed to return an instance of a subclass when the class ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/typing.rst
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where ``T1``, ``T2``, ... are :class:`TypeVars <TypeVar>`. This is invalid as only one type should be passed to Annotated. By default, :func:`get_type_hints` strips the metadata from annotations. Pass ``include_extras=True`` to have the metadata preserved:
trusted_official_docs
CPython Docs
where ``T1``, ``T2``, ... are :class:`TypeVars <TypeVar>`. This is invalid as only one type should be passed to Annotated. By default, :func:`get_type_hints` strips the metadata from annotations. Pass ``include_extras=True`` to have the metadata preserved:
where ``T1``, ``T2``, ... are :class:`TypeVars <TypeVar>`. This is invalid as only one type should be passed to Annotated. By default, :func:`get_type_hints` strips the metadata from annotations. Pass ``include_extras=True`` to have the metadata preserved:
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Local_Trusted_Corpus
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CPython Docs
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Special typing form to add context-specific metadata to an annotation. Add metadata ``x`` to a given type ``T`` by using the annotation ``Annotated[T, x]``. Metadata added using ``Annotated`` can be used by static analysis tools or at runtime. At runtime, the metadata is stored in a :attr:`!__metadata__` attribute.
trusted_official_docs
CPython Docs
Special typing form to add context-specific metadata to an annotation. Add metadata ``x`` to a given type ``T`` by using the annotation ``Annotated[T, x]``. Metadata added using ``Annotated`` can be used by static analysis tools or at runtime. At runtime, the metadata is stored in a :attr:`!__metadata__` attribute.
Special typing form to add context-specific metadata to an annotation. Add metadata ``x`` to a given type ``T`` by using the annotation ``Annotated[T, x]``. Metadata added using ``Annotated`` can be used by static analysis tools or at runtime. At runtime, the metadata is stored in a :attr:`!__metadata__` attribute.
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file://datasets/cpython/Doc/library/typing.rst
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def fun(arg: expensive_mod.SomeType) -> None: local_var: expensive_mod.AnotherType = other_fun() If you occasionally need to examine type annotations at runtime which may contain undefined symbols, use :meth:`annotationlib.get_annotations` with a ``format`` parameter of :attr:`annotationlib.Format.STRING` or :attr:...
trusted_official_docs
CPython Docs
def fun(arg: expensive_mod.SomeType) -> None: local_var: expensive_mod.AnotherType = other_fun() If you occasionally need to examine type annotations at runtime which may contain undefined symbols, use :meth:`annotationlib.get_annotations` with a ``format`` parameter of :attr:`annotationlib.Format.STRING` or :attr:...
def fun(arg: expensive_mod.SomeType) -> None: local_var: expensive_mod.AnotherType = other_fun() If you occasionally need to examine type annotations at runtime which may contain undefined symbols, use :meth:`annotationlib.get_annotations` with a ``format`` parameter of :attr:`annotationlib.Format.STRING` or :attr:...
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CPython Docs
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of type is :data:`Any`. A static type checker will treat every type as being compatible with :data:`Any` and :data:`Any` as being compatible with every type. This means that it is possible to perform any operation or method call on a value of type :data:`Any` and assign it to any variable::
trusted_official_docs
CPython Docs
of type is :data:`Any`. A static type checker will treat every type as being compatible with :data:`Any` and :data:`Any` as being compatible with every type. This means that it is possible to perform any operation or method call on a value of type :data:`Any` and assign it to any variable::
of type is :data:`Any`. A static type checker will treat every type as being compatible with :data:`Any` and :data:`Any` as being compatible with every type. This means that it is possible to perform any operation or method call on a value of type :data:`Any` and assign it to any variable::
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must be a valid type expression. ``TypeForm[T]`` describes the set of all type form objects that represent the type ``T`` or types assignable to ``T``. ``TypeForm(obj)`` simply returns ``obj`` unchanged. This is useful for explicitly marking a value as a type form for static type checkers.
trusted_official_docs
CPython Docs
must be a valid type expression. ``TypeForm[T]`` describes the set of all type form objects that represent the type ``T`` or types assignable to ``T``. ``TypeForm(obj)`` simply returns ``obj`` unchanged. This is useful for explicitly marking a value as a type form for static type checkers.
must be a valid type expression. ``TypeForm[T]`` describes the set of all type form objects that represent the type ``T`` or types assignable to ``T``. ``TypeForm(obj)`` simply returns ``obj`` unchanged. This is useful for explicitly marking a value as a type form for static type checkers.
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:ref:`Callable <annotating-callables>` type hints and when instantiating user-defined generic classes with :class:`ParamSpec` parameters. The last parameter to ``Concatenate`` must be a :class:`ParamSpec` or ellipsis (``...``). For example, to annotate a decorator ``with_lock`` which provides a :class:`threading.Lock`...
trusted_official_docs
CPython Docs
:ref:`Callable <annotating-callables>` type hints and when instantiating user-defined generic classes with :class:`ParamSpec` parameters. The last parameter to ``Concatenate`` must be a :class:`ParamSpec` or ellipsis (``...``). For example, to annotate a decorator ``with_lock`` which provides a :class:`threading.Lock`...
:ref:`Callable <annotating-callables>` type hints and when instantiating user-defined generic classes with :class:`ParamSpec` parameters. The last parameter to ``Concatenate`` must be a :class:`ParamSpec` or ellipsis (``...``). For example, to annotate a decorator ``with_lock`` which provides a :class:`threading.Lock`...
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``TypeIs`` function is a class or instance method, then the type in ``TypeIs`` maps to the type of the second parameter (after ``cls`` or ``self``). In short, the form ``def foo(arg: TypeA) -> TypeIs[TypeB]: ...``, means that if ``foo(arg)`` returns ``True``, then ``arg`` is an instance of ``TypeB``, and if it return...
trusted_official_docs
CPython Docs
``TypeIs`` function is a class or instance method, then the type in ``TypeIs`` maps to the type of the second parameter (after ``cls`` or ``self``). In short, the form ``def foo(arg: TypeA) -> TypeIs[TypeB]: ...``, means that if ``foo(arg)`` returns ``True``, then ``arg`` is an instance of ``TypeB``, and if it return...
``TypeIs`` function is a class or instance method, then the type in ``TypeIs`` maps to the type of the second parameter (after ``cls`` or ``self``). In short, the form ``def foo(arg: TypeA) -> TypeIs[TypeB]: ...``, means that if ``foo(arg)`` returns ``True``, then ``arg`` is an instance of ``TypeB``, and if it return...
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# T is bound to int, Ts is bound to () # Return value is (1,), which has type tuple[int] move_first_element_to_last(tup=(1,)) # T is bound to int, Ts is bound to (str,) # Return value is ('spam', 1), which has type tuple[str, int] move_first_element_to_last(tup=(1, 'spam'))
trusted_official_docs
CPython Docs
# T is bound to int, Ts is bound to () # Return value is (1,), which has type tuple[int] move_first_element_to_last(tup=(1,)) # T is bound to int, Ts is bound to (str,) # Return value is ('spam', 1), which has type tuple[str, int] move_first_element_to_last(tup=(1, 'spam'))
# T is bound to int, Ts is bound to () # Return value is (1,), which has type tuple[int] move_first_element_to_last(tup=(1,)) # T is bound to int, Ts is bound to (str,) # Return value is ('spam', 1), which has type tuple[str, int] move_first_element_to_last(tup=(1, 'spam'))
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type predicate if isinstance(val, str): # Type of ``val`` is narrowed to ``str`` ... else: # Else, type of ``val`` is narrowed to ``float``. ... Sometimes it would be convenient to use a user-defined boolean function as a type predicate. Such a function should use ``TypeIs[...]`` or :data:`TypeGuard` as its return ty...
trusted_official_docs
CPython Docs
type predicate if isinstance(val, str): # Type of ``val`` is narrowed to ``str`` ... else: # Else, type of ``val`` is narrowed to ``float``. ... Sometimes it would be convenient to use a user-defined boolean function as a type predicate. Such a function should use ``TypeIs[...]`` or :data:`TypeGuard` as its return ty...
type predicate if isinstance(val, str): # Type of ``val`` is narrowed to ``str`` ... else: # Else, type of ``val`` is narrowed to ``float``. ... Sometimes it would be convenient to use a user-defined boolean function as a type predicate. Such a function should use ``TypeIs[...]`` or :data:`TypeGuard` as its return ty...
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import threading assert isinstance(threading.Thread(name='Bob'), Named) Runtime checkability of protocols is not inherited. A subclass of a runtime-checkable protocol is only runtime-checkable if it is explicitly marked as such, regardless of class hierarchy::
trusted_official_docs
CPython Docs
import threading assert isinstance(threading.Thread(name='Bob'), Named) Runtime checkability of protocols is not inherited. A subclass of a runtime-checkable protocol is only runtime-checkable if it is explicitly marked as such, regardless of class hierarchy::
import threading assert isinstance(threading.Thread(name='Bob'), Named) Runtime checkability of protocols is not inherited. A subclass of a runtime-checkable protocol is only runtime-checkable if it is explicitly marked as such, regardless of class hierarchy::
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type. Multiple metadata elements can be supplied as ``Annotated`` supports variadic arguments. The order of the metadata elements is preserved and matters for equality checks:: @dataclass class ctype: kind: str
trusted_official_docs
CPython Docs
type. Multiple metadata elements can be supplied as ``Annotated`` supports variadic arguments. The order of the metadata elements is preserved and matters for equality checks:: @dataclass class ctype: kind: str
type. Multiple metadata elements can be supplied as ``Annotated`` supports variadic arguments. The order of the metadata elements is preserved and matters for equality checks:: @dataclass class ctype: kind: str
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which are not all of the same type. For this reason, tuples are special-cased in Python's typing system. :class:`tuple` accepts *any number* of type arguments:: # OK: ``x`` is assigned to a tuple of length 1 where the sole element is an int x: tuple[int] = (5,)
trusted_official_docs
CPython Docs
which are not all of the same type. For this reason, tuples are special-cased in Python's typing system. :class:`tuple` accepts *any number* of type arguments:: # OK: ``x`` is assigned to a tuple of length 1 where the sole element is an int x: tuple[int] = (5,)
which are not all of the same type. For this reason, tuples are special-cased in Python's typing system. :class:`tuple` accepts *any number* of type arguments:: # OK: ``x`` is assigned to a tuple of length 1 where the sole element is an int x: tuple[int] = (5,)
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For example, ``List["SomeClass"]`` is implicitly transformed into ``List[ForwardRef("SomeClass")]``. :class:`!ForwardRef` should not be instantiated by a user, but may be used by introspection tools. .. note:: :pep:`585` generic types such as ``list["SomeClass"]`` will not be implicitly transformed into ``list[Forwar...
trusted_official_docs
CPython Docs
For example, ``List["SomeClass"]`` is implicitly transformed into ``List[ForwardRef("SomeClass")]``. :class:`!ForwardRef` should not be instantiated by a user, but may be used by introspection tools. .. note:: :pep:`585` generic types such as ``list["SomeClass"]`` will not be implicitly transformed into ``list[Forwar...
For example, ``List["SomeClass"]`` is implicitly transformed into ``List[ForwardRef("SomeClass")]``. :class:`!ForwardRef` should not be instantiated by a user, but may be used by introspection tools. .. note:: :pep:`585` generic types such as ``list["SomeClass"]`` will not be implicitly transformed into ``list[Forwar...
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float_array_1d: Array[float, Height] = Array() # Totally fine int_array_2d: Array[int, Height, Width] = Array() # Yup, fine too However, note that at most one type variable tuple may appear in a single list of type arguments or type parameters::
trusted_official_docs
CPython Docs
float_array_1d: Array[float, Height] = Array() # Totally fine int_array_2d: Array[int, Height, Width] = Array() # Yup, fine too However, note that at most one type variable tuple may appear in a single list of type arguments or type parameters::
float_array_1d: Array[float, Height] = Array() # Totally fine int_array_2d: Array[int, Height, Width] = Array() # Yup, fine too However, note that at most one type variable tuple may appear in a single list of type arguments or type parameters::
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# fails type checking; an int is not a UserId user_b = get_user_name(-1) You may still perform all ``int`` operations on a variable of type ``UserId``, but the result will always be of type ``int``. This lets you pass in a ``UserId`` wherever an ``int`` might be expected, but will prevent you from accidentally creating...
trusted_official_docs
CPython Docs
# fails type checking; an int is not a UserId user_b = get_user_name(-1) You may still perform all ``int`` operations on a variable of type ``UserId``, but the result will always be of type ``int``. This lets you pass in a ``UserId`` wherever an ``int`` might be expected, but will prevent you from accidentally creating...
# fails type checking; an int is not a UserId user_b = get_user_name(-1) You may still perform all ``int`` operations on a variable of type ``UserId``, but the result will always be of type ``int``. This lets you pass in a ``UserId`` wherever an ``int`` might be expected, but will prevent you from accidentally creating...
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.. index:: single: ...; ellipsis literal ``Concatenate`` can be used in conjunction with :ref:`Callable <annotating-callables>` and :class:`ParamSpec` to annotate a higher-order callable which adds, removes, or transforms parameters of another callable. Usage is in the form ``Concatenate[Arg1Type, Arg2Type, ..., Pa...
trusted_official_docs
CPython Docs
.. index:: single: ...; ellipsis literal ``Concatenate`` can be used in conjunction with :ref:`Callable <annotating-callables>` and :class:`ParamSpec` to annotate a higher-order callable which adds, removes, or transforms parameters of another callable. Usage is in the form ``Concatenate[Arg1Type, Arg2Type, ..., Pa...
.. index:: single: ...; ellipsis literal ``Concatenate`` can be used in conjunction with :ref:`Callable <annotating-callables>` and :class:`ParamSpec` to annotate a higher-order callable which adds, removes, or transforms parameters of another callable. Usage is in the form ``Concatenate[Arg1Type, Arg2Type, ..., Pa...
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Deprecation Timeline of Major Features ====================================== Certain features in ``typing`` are deprecated and may be removed in a future version of Python. The following table summarizes major deprecations for your convenience. This is subject to change, and not all deprecations are listed.
trusted_official_docs
CPython Docs
Deprecation Timeline of Major Features ====================================== Certain features in ``typing`` are deprecated and may be removed in a future version of Python. The following table summarizes major deprecations for your convenience. This is subject to change, and not all deprecations are listed.
Deprecation Timeline of Major Features ====================================== Certain features in ``typing`` are deprecated and may be removed in a future version of Python. The following table summarizes major deprecations for your convenience. This is subject to change, and not all deprecations are listed.
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