File: //lib/python3.7/__pycache__/typing.cpython-37.pyc
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The typing module: Support for gradual typing as defined by PEP 484.
At large scale, the structure of the module is following:
* Imports and exports, all public names should be explicitly added to __all__.
* Internal helper functions: these should never be used in code outside this module.
* _SpecialForm and its instances (special forms): Any, NoReturn, ClassVar, Union, Optional
* Two classes whose instances can be type arguments in addition to types: ForwardRef and TypeVar
* The core of internal generics API: _GenericAlias and _VariadicGenericAlias, the latter is
currently only used by Tuple and Callable. All subscripted types like X[int], Union[int, str],
etc., are instances of either of these classes.
* The public counterpart of the generics API consists of two classes: Generic and Protocol
(the latter is currently private, but will be made public after PEP 544 acceptance).
* Public helper functions: get_type_hints, overload, cast, no_type_check,
no_type_check_decorator.
* Generic aliases for collections.abc ABCs and few additional protocols.
* Special types: NewType, NamedTuple, TypedDict (may be added soon).
* Wrapper submodules for re and io related types.
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special forms like Union are not valid, while Union[int, str] is OK, etc.
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rK )r� a` Special type indicating an unconstrained type.
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or class checks.
)r� a Special type indicating functions that never return.
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raise Exception('no way')
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will fail in static type checkers.
a3 Special type construct to mark class variables.
An annotation wrapped in ClassVar 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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Note that ClassVar is not a class itself, and should not
be used with isinstance() or issubclass().
a' Union type; Union[X, Y] means either X or Y.
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- The arguments must be types and there must be at least one.
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type(None).
- Unions of unions are flattened, e.g.::
Union[Union[int, str], float] == Union[int, str, float]
- Unions of a single argument vanish, e.g.::
Union[int] == int # The constructor actually returns int
- Redundant arguments are skipped, e.g.::
Union[int, str, int] == Union[int, str]
- When comparing unions, the argument order is ignored, e.g.::
Union[int, str] == Union[str, int]
- You cannot subclass or instantiate a union.
- You can use Optional[X] as a shorthand for Union[X, None].
zEOptional type.
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d � ZdS ) r a� Type variable.
Usage::
T = TypeVar('T') # Can be anything
A = TypeVar('A', str, bytes) # Must be str or bytes
Type variables exist primarily for the benefit of static type
checkers. They serve as the parameters for generic types as well
as for generic function definitions. See class Generic for more
information on generic types. Generic functions work as follows:
def repeat(x: T, n: int) -> List[T]:
'''Return a list containing n references to x.'''
return [x]*n
def longest(x: A, y: A) -> A:
'''Return the longest of two strings.'''
return x if len(x) >= len(y) else y
The latter example's signature is essentially the overloading
of (str, str) -> str and (bytes, bytes) -> bytes. Also note
that if the arguments are instances of some subclass of str,
the return type is still plain str.
At runtime, isinstance(x, T) and issubclass(C, T) will raise TypeError.
Type variables defined with covariant=True or contravariant=True
can be used to declare covariant or contravariant generic types.
See PEP 484 for more details. By default generic types are invariant
in all type variables.
Type variables can be introspected. e.g.:
T.__name__ == 'T'
T.__constraints__ == ()
T.__covariant__ == False
T.__contravariant__ = False
A.__constraints__ == (str, bytes)
Note that only type variables defined in global scope can be pickled.
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z_GenericAlias.__eq__c C s, | j tkr ttt| j�f�S t| j | jf�S )N)rI r r� r� rg )r� rP rP rQ r� � s
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z _GenericAlias.__mro_entries__c C s* d| j kr t|�s t| j|�S t|��d S )NrI )�__dict__r� �getattrrI r� )r� r� rP rP rQ � __getattr__� s z_GenericAlias.__getattr__c s2 t |�s|dkr t� �||� nt| j||� d S )N)r� r� ra )r� r� � __setattr__�setattrrI )r� r� �val)r� rP rQ r� � s z_GenericAlias.__setattr__c C s | � t|��S )N)r� rD )r� rZ rP rP rQ r� � s z _GenericAlias.__instancecheck__c C s< | j r0t|t�s t|| j�S |j r0t|j| j�S td��d S )NzBSubscripted generics cannot be used with class and instance checks)ra rE rH r� rI rJ )r� ro rP rP rQ r� � s
z _GenericAlias.__subclasscheck__c C s� | j r | jS | jr t� | j }n| j}|tkrht| j�dkrJ| jd tksht| jd d� �| jd f}n*t | j�}t|�dkr�t
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c C s� | j dks| js| �|�S t|t�r0t|�dkr8td��|\}}|tkrRt|f}n$t|t�sjtd|� ���t|�|f}| �|�S )Nr r� z6Callable must be used as Callable[[arg, ...], result].z1Callable[args, result]: args must be a list. Got ) r� ra �__getitem_inner__rE rd rn rJ r� rf )r� rv ry r� rP rP rQ r� � s
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aC Abstract base class for generic types.
A generic type is typically declared by inheriting from
this class parameterized with one or more type variables.
For example, a generic mapping type might be defined as::
class Mapping(Generic[KT, VT]):
def __getitem__(self, key: KT) -> VT:
...
# Etc.
This class can then be used as follows::
def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
rP c sP | t krtd��t� jtjkr8| jtjk r8t� �| �}nt� j| f|�|�}|S )NzHType Generic cannot be instantiated; it can be used only as a base class)r
rJ r� r� �objectr� )ro ry rz rZ )r� rP rQ r� & s zGeneric.__new__c s� t |t�s|f}|s.| tk r.td| j� d���d� t� fdd�|D ��}| tkr�tdd� |D ��sjtd��tt|��t|�kr�td��n| t kr�n
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are returned as a dictionary. For classes, annotations include also
inherited members.
TypeError is raised if the argument is not of a type that can contain
annotations, and an empty dictionary is returned if no annotations are
present.
BEWARE -- the behavior of globalns and localns is counterintuitive
(unless you are familiar with how eval() and exec() work). The
search order is locals first, then globals.
- If no dict arguments are passed, an attempt is made to use the
globals from obj (or the respective module's globals for classes),
and these are also used as the locals. If the object does not appear
to have globals, an empty dictionary is used.
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r� Y nX | S )aI Decorator to indicate that annotations are not type hints.
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Decorator for overloaded functions/methods.
In a stub file, place two or more stub definitions for the same
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@overload
def utf8(value: None) -> None: ...
@overload
def utf8(value: bytes) -> bytes: ...
@overload
def utf8(value: str) -> bytes: ...
In a non-stub file (i.e. a regular .py file), do the same but
follow it with an implementation. The implementation should *not*
be decorated with @overload. For example:
@overload
def utf8(value: None) -> None: ...
@overload
def utf8(value: bytes) -> bytes: ...
@overload
def utf8(value: str) -> bytes: ...
def utf8(value):
# implementation goes here
)r )r| rP rP rQ r? # s c s0 e Zd ZdZ� fdd�Zdd� Zdd� Z� ZS )�
_ProtocolMetaz~Internal metaclass for _Protocol.
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z _ProtocolMeta.__subclasscheck__c C s& g }x.| j D ]$}t|dd�r |jdkr |�|� q W t� }� x�|D ]�}x�|j�� D ]�}x�| j D ]$}||k r^||jkr^t|dd�s^P q^W |�d�sR|dkrR|dkrR|dkrR|dkrR|dkrR|d krR|d
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z!_ProtocolMeta._get_protocol_attrs)rX rT rU r� r� r� r r� rP rP )r� rQ r @ s r c s( e Zd ZdZdZdZ� fdd�Z� ZS )rC z�Internal base class for protocol classes.
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)r� a� A special construct usable to annotate class objects.
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class User: ... # Abstract base for User classes
class BasicUser(User): ...
class ProUser(User): ...
class TeamUser(User): ...
And a function that takes a class argument that's a subclass of
User and returns an instance of the corresponding class::
U = TypeVar('U', bound=User)
def new_user(user_class: Type[U]) -> U:
user = user_class()
# (Here we could write the user object to a database)
return user
joe = new_user(BasicUser)
At this point the type checker knows that joe has type BasicUser.
c @ s" e Zd ZdZeed�dd��ZdS )r- rP )�returnc C s d S )NrP )r� rP rP rQ �__int__� s zSupportsInt.__int__N)rX rT rU r� r �intr- rP rP rP rQ r- � s c @ s" e Zd ZdZeed�dd��ZdS )r, rP )r, c C s d S )NrP )r� rP rP rQ � __float__ s zSupportsFloat.__float__N)rX rT rU r� r �floatr/ rP rP rP rQ r, s c @ s" e Zd ZdZeed�dd��ZdS )r+ rP )r, c C s d S )NrP )r� rP rP rQ � __complex__ s zSupportsComplex.__complex__N)rX rT rU r� r �complexr1 rP rP rP rQ r+ s c @ s" e Zd ZdZeed�dd��ZdS )r* rP )r, c C s d S )NrP )r� rP rP rQ � __bytes__ s zSupportsBytes.__bytes__N)rX rT rU r� r �bytesr3 rP rP rP rQ r* s c @ s" e Zd ZdZeed�dd��ZdS )r) rP )r, c C s d S )NrP )r� rP rP rQ �__abs__ s zSupportsAbs.__abs__N)rX rT rU r� r r& r5 rP rP rP rQ r) s c @ s& e Zd ZdZedeed�dd��ZdS )r. rP r )�ndigitsr, c C s d S )NrP )r� r6 rP rP rQ � __round__' s zSupportsRound.__round__N)r )rX rT rU r� r r. r& r7 rP rP rP rQ r. $ s c sv d� � fdd�|D �}t �| dd� |D ��}t �|� |_|_yt�d�j�dd�|_ W n t
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zNamedTupleMeta.__new__)rX rT rU r� r� rP rP )r� rQ rE B s rE c @ s e Zd ZdZdZddd�ZdS )r6 a4 Typed version of namedtuple.
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class Employee(NamedTuple):
name: str
id: int
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The resulting class has extra __annotations__ and _field_types
attributes, giving an ordered dict mapping field names to types.
__annotations__ should be preferred, while _field_types
is kept to maintain pre PEP 526 compatibility. (The field names
are in the _fields attribute, which is part of the namedtuple
API.) Alternative equivalent keyword syntax is also accepted::
Employee = NamedTuple('Employee', name=str, id=int)
In Python versions <= 3.5 use::
Employee = NamedTuple('Employee', [('name', str), ('id', int)])
TNc K s( |d kr|� � }n |r td��t||�S )NzIEither list of fields or keywords can be provided to NamedTuple, not both)r
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zNamedTuple.__new__)N)rX rT rU r� r� r� rP rP rP rQ r6 a s c C s dd� }| |_ ||_|S )a% NewType creates simple unique types with almost zero
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by static type checkers. At runtime, NewType(name, tp) returns
a dummy function that simply returns its argument. Usage::
UserId = NewType('UserId', int)
def name_by_id(user_id: UserId) -> str:
...
UserId('user') # Fails type check
name_by_id(42) # Fails type check
name_by_id(UserId(42)) # OK
num = UserId(5) + 1 # type: int
c S s | S )NrP )�xrP rP rQ �new_type� s zNewType.<locals>.new_type)rX Z
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d,�d-d.��Z e ee dd/�d0d1��Z e d2d�d3d4��Z e dd�d5d6��Z dS )<�IOa� Generic base class for TextIO and BinaryIO.
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classes (text vs. binary, read vs. write vs. read/write,
append-only, unbuffered). The TextIO and BinaryIO subclasses
below capture the distinctions between text vs. binary, which is
pervasive in the interface; however we currently do not offer a
way to track the other distinctions in the type system.
rP )r, c C s d S )NrP )r� rP rP rQ �mode� s zIO.modec C s d S )NrP )r� rP rP rQ r� � s zIO.nameNc C s d S )NrP )r� rP rP rQ �close� s zIO.closec C s d S )NrP )r� rP rP rQ �closed� s z IO.closedc C s d S )NrP )r� rP rP rQ �fileno� s z IO.filenoc C s d S )NrP )r� rP rP rQ �flush� s zIO.flushc C s d S )NrP )r� rP rP rQ �isatty� s z IO.isattyr� )r8 r, c C s d S )NrP )r� r8 rP rP rQ �read� s zIO.readc C s d S )NrP )r� rP rP rQ �readable� s z IO.readable)�limitr, c C s d S )NrP )r� rV rP rP rQ �readline� s z IO.readline)�hintr, c C s d S )NrP )r� rX rP rP rQ � readlines� s z IO.readlinesr )�offset�whencer, c C s d S )NrP )r� rZ r[ rP rP rQ �seek� s zIO.seekc C s d S )NrP )r� rP rP rQ �seekable� s z IO.seekablec C s d S )NrP )r� rP rP rQ �tell� s zIO.tell)�sizer, c C s d S )NrP )r� r_ rP rP rQ �truncate� s z IO.truncatec C s d S )NrP )r� rP rP rQ �writable� s z IO.writable)�sr, c C s d S )NrP )r� rb rP rP rQ �write� s zIO.write)�linesr, c C s d S )NrP )r� rd rP rP rQ �
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�BinaryIOz5Typed version of the return of open() in binary mode.rP )rb r, c C s d S )NrP )r� rb rP rP rQ rc s zBinaryIO.write)r, c C s d S )NrP )r� rP rP rQ rf s zBinaryIO.__enter__N) rX rT rU r� r� r r r4 � bytearrayr. rc rf rP rP rP rQ ri s ri c @ s� e Zd ZdZdZeed�dd��Zeed�dd��Z ee
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