代码拉取完成，页面将自动刷新
# uncompyle6 version 3.2.3
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.8 |Anaconda custom (64-bit)| (default, Feb 21 2019, 18:30:04) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: typing.py
import abc
from abc import abstractmethod, abstractproperty
import collections, contextlib, functools, re as stdlib_re, sys, types
try:
import collections.abc as collections_abc
except ImportError:
import collections as collections_abc
if sys.version_info[:2] >= (3, 6):
import _collections_abc
try:
from types import WrapperDescriptorType, MethodWrapperType, MethodDescriptorType
except ImportError:
WrapperDescriptorType = type(object.__init__)
MethodWrapperType = type(object().__str__)
MethodDescriptorType = type(str.join)
__all__ = [
"Any",
"Callable",
"ClassVar",
"Generic",
"Optional",
"Tuple",
"Type",
"TypeVar",
"Union",
"AbstractSet",
"GenericMeta",
"ByteString",
"Container",
"ContextManager",
"Hashable",
"ItemsView",
"Iterable",
"Iterator",
"KeysView",
"Mapping",
"MappingView",
"MutableMapping",
"MutableSequence",
"MutableSet",
"Sequence",
"Sized",
"ValuesView",
"Reversible",
"SupportsAbs",
"SupportsBytes",
"SupportsComplex",
"SupportsFloat",
"SupportsInt",
"SupportsRound",
"Counter",
"Deque",
"Dict",
"DefaultDict",
"List",
"Set",
"FrozenSet",
"NamedTuple",
"Generator",
"AnyStr",
"cast",
"get_type_hints",
"NewType",
"no_type_check",
"no_type_check_decorator",
"overload",
"Text",
"TYPE_CHECKING",
]
def _qualname(x):
if sys.version_info[:2] >= (3, 3):
return x.__qualname__
else:
return x.__name__
def _trim_name(nm):
whitelist = ("_TypeAlias", "_ForwardRef", "_TypingBase", "_FinalTypingBase")
if nm.startswith("_"):
if nm not in whitelist:
nm = nm[1:]
return nm
class TypingMeta(type):
"""Metaclass for most types defined in typing module
(not a part of public API).
This overrides __new__() to require an extra keyword parameter
'_root', which serves as a guard against naive subclassing of the
typing classes. Any legitimate class defined using a metaclass
derived from TypingMeta must pass _root=True.
This also defines a dummy constructor (all the work for most typing
constructs is done in __new__) and a nicer repr().
"""
_is_protocol = False
def __new__(cls, name, bases, namespace, *, _root=False):
if not _root:
raise TypeError(
"Cannot subclass %s" % ((", ").join(map(_type_repr, bases)) or "()")
)
return super().__new__(cls, name, bases, namespace)
def __init__(self, *args, **kwds):
pass
def _eval_type(self, globalns, localns):
"""Override this in subclasses to interpret forward references.
For example, List['C'] is internally stored as
List[_ForwardRef('C')], which should evaluate to List[C],
where C is an object found in globalns or localns (searching
localns first, of course).
"""
return self
def _get_type_vars(self, tvars):
pass
def __repr__(self):
qname = _trim_name(_qualname(self))
return "%s.%s" % (self.__module__, qname)
class _TypingBase(metaclass=TypingMeta, _root=True):
"""Internal indicator of special typing constructs."""
__slots__ = ("__weakref__",)
def __init__(self, *args, **kwds):
pass
def __new__(cls, *args, **kwds):
"""Constructor.
This only exists to give a better error message in case
someone tries to subclass a special typing object (not a good idea).
"""
if len(args) == 3:
if isinstance(args[0], str):
if isinstance(args[1], tuple):
raise TypeError("Cannot subclass %r" % cls)
return super().__new__(cls)
def _eval_type(self, globalns, localns):
return self
def _get_type_vars(self, tvars):
pass
def __repr__(self):
cls = type(self)
qname = _trim_name(_qualname(cls))
return "%s.%s" % (cls.__module__, qname)
def __call__(self, *args, **kwds):
raise TypeError("Cannot instantiate %r" % type(self))
class _FinalTypingBase(_TypingBase, _root=True):
"""Internal mix-in class to prevent instantiation.
Prevents instantiation unless _root=True is given in class call.
It is used to create pseudo-singleton instances Any, Union, Optional, etc.
"""
__slots__ = ()
def __new__(cls, *args, _root=False ** kwds):
self = super().__new__(cls, *args, **kwds)
if _root is True:
return self
raise TypeError("Cannot instantiate %r" % cls)
def __reduce__(self):
return _trim_name(type(self).__name__)
class _ForwardRef(_TypingBase, _root=True):
"""Internal wrapper to hold a forward reference."""
__slots__ = (
"__forward_arg__",
"__forward_code__",
"__forward_evaluated__",
"__forward_value__",
)
def __init__(self, arg):
super().__init__(arg)
if not isinstance(arg, str):
raise TypeError("Forward reference must be a string -- got %r" % (arg,))
try:
code = compile(arg, "<string>", "eval")
except SyntaxError:
raise SyntaxError(
"Forward reference must be an expression -- got %r" % (arg,)
)
self.__forward_arg__ = arg
self.__forward_code__ = code
self.__forward_evaluated__ = False
self.__forward_value__ = None
def _eval_type(self, globalns, localns):
if not self.__forward_evaluated__ or localns is not globalns:
if globalns is None:
if localns is None:
globalns = localns = {}
if globalns is None:
globalns = localns
else:
if localns is None:
localns = globalns
self.__forward_value__ = _type_check(
eval(self.__forward_code__, globalns, localns),
"Forward references must evaluate to types.",
)
self.__forward_evaluated__ = True
return self.__forward_value__
def __eq__(self, other):
if not isinstance(other, _ForwardRef):
return NotImplemented
else:
return (
self.__forward_arg__ == other.__forward_arg__
and self.__forward_value__ == other.__forward_value__
)
def __hash__(self):
return hash((self.__forward_arg__, self.__forward_value__))
def __instancecheck__(self, obj):
raise TypeError("Forward references cannot be used with isinstance().")
def __subclasscheck__(self, cls):
raise TypeError("Forward references cannot be used with issubclass().")
def __repr__(self):
return "_ForwardRef(%r)" % (self.__forward_arg__,)
class _TypeAlias(_TypingBase, _root=True):
"""Internal helper class for defining generic variants of concrete types.
Note that this is not a type; let's call it a pseudo-type. It cannot
be used in instance and subclass checks in parameterized form, i.e.
``isinstance(42, Match[str])`` raises ``TypeError`` instead of returning
``False``.
"""
__slots__ = ("name", "type_var", "impl_type", "type_checker")
def __init__(self, name, type_var, impl_type, type_checker):
"""Initializer.
Args:
name: The name, e.g. 'Pattern'.
type_var: The type parameter, e.g. AnyStr, or the
specific type, e.g. str.
impl_type: The implementation type.
type_checker: Function that takes an impl_type instance.
and returns a value that should be a type_var instance.
"""
if not isinstance(name, str):
raise AssertionError(repr(name))
if not isinstance(impl_type, type):
raise AssertionError(repr(impl_type))
if not not isinstance(impl_type, TypingMeta):
raise AssertionError(repr(impl_type))
if not isinstance(type_var, (type, _TypingBase)):
raise AssertionError(repr(type_var))
self.name = name
self.type_var = type_var
self.impl_type = impl_type
self.type_checker = type_checker
def __repr__(self):
return "%s[%s]" % (self.name, _type_repr(self.type_var))
def __getitem__(self, parameter):
if not isinstance(self.type_var, TypeVar):
raise TypeError("%s cannot be further parameterized." % self)
if self.type_var.__constraints__:
if isinstance(parameter, type):
if not issubclass(parameter, self.type_var.__constraints__):
raise TypeError(
"%s is not a valid substitution for %s."
% (parameter, self.type_var)
)
if isinstance(parameter, TypeVar):
if parameter is not self.type_var:
raise TypeError("%s cannot be re-parameterized." % self)
return self.__class__(self.name, parameter, self.impl_type, self.type_checker)
def __eq__(self, other):
if not isinstance(other, _TypeAlias):
return NotImplemented
else:
return self.name == other.name and self.type_var == other.type_var
def __hash__(self):
return hash((self.name, self.type_var))
def __instancecheck__(self, obj):
if not isinstance(self.type_var, TypeVar):
raise TypeError(
"Parameterized type aliases cannot be used with isinstance()."
)
return isinstance(obj, self.impl_type)
def __subclasscheck__(self, cls):
if not isinstance(self.type_var, TypeVar):
raise TypeError(
"Parameterized type aliases cannot be used with issubclass()."
)
return issubclass(cls, self.impl_type)
def _get_type_vars(types, tvars):
for t in types:
if isinstance(t, TypingMeta) or isinstance(t, _TypingBase):
t._get_type_vars(tvars)
def _type_vars(types):
tvars = []
_get_type_vars(types, tvars)
return tuple(tvars)
def _eval_type(t, globalns, localns):
if isinstance(t, TypingMeta) or isinstance(t, _TypingBase):
return t._eval_type(globalns, localns)
else:
return t
def _type_check(arg, msg):
"""Check that the argument is a type, and return it (internal helper).
As a special case, accept None and return type(None) instead.
Also, _TypeAlias instances (e.g. Match, Pattern) are acceptable.
The msg argument is a human-readable error message, e.g.
"Union[arg, ...]: arg should be a type."
We append the repr() of the actual value (truncated to 100 chars).
"""
if arg is None:
return type(None)
else:
if isinstance(arg, str):
arg = _ForwardRef(arg)
if (
isinstance(arg, _TypingBase)
and type(arg).__name__ == "_ClassVar"
or not isinstance(arg, (type, _TypingBase))
and not callable(arg)
):
raise TypeError(msg + " Got %.100r." % (arg,))
if (
type(arg).__name__ in ("_Union", "_Optional")
and not getattr(arg, "__origin__", None)
or isinstance(arg, TypingMeta)
and arg._gorg in (Generic, _Protocol)
):
raise TypeError("Plain %s is not valid as type argument" % arg)
return arg
def _type_repr(obj):
"""Return the repr() of an object, special-casing types (internal helper).
If obj is a type, we return a shorter version than the default
type.__repr__, based on the module and qualified name, which is
typically enough to uniquely identify a type. For everything
else, we fall back on repr(obj).
"""
if isinstance(obj, type):
if not isinstance(obj, TypingMeta):
if obj.__module__ == "builtins":
return _qualname(obj)
return "%s.%s" % (obj.__module__, _qualname(obj))
if obj is ...:
return "..."
if isinstance(obj, types.FunctionType):
return obj.__name__
return repr(obj)
class _Any(_FinalTypingBase, _root=True):
"""Special type indicating an unconstrained type.
- Any is compatible with every type.
- Any assumed to have all methods.
- All values assumed to be instances of Any.
Note that all the above statements are true from the point of view of
static type checkers. At runtime, Any should not be used with instance
or class checks.
"""
__slots__ = ()
def __instancecheck__(self, obj):
raise TypeError("Any cannot be used with isinstance().")
def __subclasscheck__(self, cls):
raise TypeError("Any cannot be used with issubclass().")
Any = _Any(_root=True)
class _NoReturn(_FinalTypingBase, _root=True):
"""Special type indicating functions that never return.
Example::
from typing import NoReturn
def stop() -> NoReturn:
raise Exception('no way')
This type is invalid in other positions, e.g., ``List[NoReturn]``
will fail in static type checkers.
"""
__slots__ = ()
def __instancecheck__(self, obj):
raise TypeError("NoReturn cannot be used with isinstance().")
def __subclasscheck__(self, cls):
raise TypeError("NoReturn cannot be used with issubclass().")
NoReturn = _NoReturn(_root=True)
class TypeVar(_TypingBase, _root=True):
"""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 do 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)
"""
__slots__ = (
"__name__",
"__bound__",
"__constraints__",
"__covariant__",
"__contravariant__",
)
def __init__(
self, name, *constraints, bound=None, covariant=False, contravariant=False
):
super().__init__(
name,
*constraints,
bound=bound,
covariant=covariant,
contravariant=contravariant
)
self.__name__ = name
if covariant:
if contravariant:
raise ValueError("Bivariant types are not supported.")
self.__covariant__ = bool(covariant)
self.__contravariant__ = bool(contravariant)
if constraints:
if bound is not None:
raise TypeError("Constraints cannot be combined with bound=...")
if constraints:
if len(constraints) == 1:
raise TypeError("A single constraint is not allowed")
msg = "TypeVar(name, constraint, ...): constraints must be types."
self.__constraints__ = tuple((_type_check(t, msg) for t in constraints))
if bound:
self.__bound__ = _type_check(bound, "Bound must be a type.")
else:
self.__bound__ = None
def _get_type_vars(self, tvars):
if self not in tvars:
tvars.append(self)
def __repr__(self):
if self.__covariant__:
prefix = "+"
else:
if self.__contravariant__:
prefix = "-"
else:
prefix = "~"
return prefix + self.__name__
def __instancecheck__(self, instance):
raise TypeError("Type variables cannot be used with isinstance().")
def __subclasscheck__(self, cls):
raise TypeError("Type variables cannot be used with issubclass().")
T = TypeVar("T")
KT = TypeVar("KT")
VT = TypeVar("VT")
T_co = TypeVar("T_co", covariant=True)
V_co = TypeVar("V_co", covariant=True)
VT_co = TypeVar("VT_co", covariant=True)
T_contra = TypeVar("T_contra", contravariant=True)
AnyStr = TypeVar("AnyStr", bytes, str)
def _replace_arg(arg, tvars, args):
"""An internal helper function: replace arg if it is a type variable
found in tvars with corresponding substitution from args or
with corresponding substitution sub-tree if arg is a generic type.
"""
if tvars is None:
tvars = []
if hasattr(arg, "_subs_tree"):
if isinstance(arg, (GenericMeta, _TypingBase)):
return arg._subs_tree(tvars, args)
if isinstance(arg, TypeVar):
for i, tvar in enumerate(tvars):
if arg == tvar:
return args[i]
return arg
def _subs_tree(cls, tvars=None, args=None):
"""An internal helper function: calculate substitution tree
for generic cls after replacing its type parameters with
substitutions in tvars -> args (if any).
Repeat the same following __origin__'s.
Return a list of arguments with all possible substitutions
performed. Arguments that are generic classes themselves are represented
as tuples (so that no new classes are created by this function).
For example: _subs_tree(List[Tuple[int, T]][str]) == [(Tuple, int, str)]
"""
if cls.__origin__ is None:
return cls
else:
current = cls.__origin__
orig_chain = []
while current.__origin__ is not None:
orig_chain.append(current)
current = current.__origin__
tree_args = []
for arg in cls.__args__:
tree_args.append(_replace_arg(arg, tvars, args))
for ocls in orig_chain:
new_tree_args = []
for arg in ocls.__args__:
new_tree_args.append(_replace_arg(arg, ocls.__parameters__, tree_args))
tree_args = new_tree_args
return tree_args
def _remove_dups_flatten(parameters):
"""An internal helper for Union creation and substitution: flatten Union's
among parameters, then remove duplicates and strict subclasses.
"""
params = []
for p in parameters:
if isinstance(p, _Union):
if p.__origin__ is Union:
params.extend(p.__args__)
elif isinstance(p, tuple):
if len(p) > 0:
if p[0] is Union:
params.extend(p[1:])
else:
params.append(p)
all_params = set(params)
if len(all_params) < len(params):
new_params = []
for t in params:
if t in all_params:
new_params.append(t)
all_params.remove(t)
params = new_params
if not not all_params:
raise AssertionError(all_params)
all_params = set(params)
for t1 in params:
if not isinstance(t1, type):
continue
if any(
(
isinstance(t2, type) and issubclass(t1, t2)
for t2 in all_params - {t1}
if not (isinstance(t2, GenericMeta) and t2.__origin__ is not None)
)
):
all_params.remove(t1)
return tuple((t for t in params if t in all_params))
def _check_generic(cls, parameters):
if not cls.__parameters__:
raise TypeError("%s is not a generic class" % repr(cls))
alen = len(parameters)
elen = len(cls.__parameters__)
if alen != elen:
raise TypeError(
"Too %s parameters for %s; actual %s, expected %s"
% ("many" if alen > elen else "few", repr(cls), alen, elen)
)
_cleanups = []
def _tp_cache(func):
"""Internal wrapper caching __getitem__ of generic types with a fallback to
original function for non-hashable arguments.
"""
cached = functools.lru_cache()(func)
_cleanups.append(cached.cache_clear)
@functools.wraps(func)
def inner(*args, **kwds):
try:
return cached(*args, **kwds)
except TypeError:
pass
return func(*args, **kwds)
return inner
class _Union(_FinalTypingBase, _root=True):
"""Union type; Union[X, Y] means either X or Y.
To define a union, use e.g. Union[int, str]. Details:
- The arguments must be types and there must be at least one.
- None as an argument is a special case and is replaced by
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]
- When two arguments have a subclass relationship, the least
derived argument is kept, e.g.::
class Employee: pass
class Manager(Employee): pass
Union[int, Employee, Manager] == Union[int, Employee]
Union[Manager, int, Employee] == Union[int, Employee]
Union[Employee, Manager] == Employee
- Similar for object::
Union[int, object] == object
- You cannot subclass or instantiate a union.
- You can use Optional[X] as a shorthand for Union[X, None].
"""
__slots__ = ("__parameters__", "__args__", "__origin__", "__tree_hash__")
def __new__(cls, parameters=None, origin=None, *args, _root=False):
self = super().__new__(cls, parameters, origin, *args, _root=_root)
if origin is None:
self.__parameters__ = None
self.__args__ = None
self.__origin__ = None
self.__tree_hash__ = hash(frozenset(("Union",)))
return self
else:
if not isinstance(parameters, tuple):
raise TypeError("Expected parameters=<tuple>")
if origin is Union:
parameters = _remove_dups_flatten(parameters)
if len(parameters) == 1:
return parameters[0]
self.__parameters__ = _type_vars(parameters)
self.__args__ = parameters
self.__origin__ = origin
subs_tree = self._subs_tree()
if isinstance(subs_tree, tuple):
self.__tree_hash__ = hash(frozenset(subs_tree))
else:
self.__tree_hash__ = hash(subs_tree)
return self
def _eval_type(self, globalns, localns):
if self.__args__ is None:
return self
else:
ev_args = tuple((_eval_type(t, globalns, localns) for t in self.__args__))
ev_origin = _eval_type(self.__origin__, globalns, localns)
if ev_args == self.__args__:
if ev_origin == self.__origin__:
return self
return self.__class__(ev_args, ev_origin, _root=True)
def _get_type_vars(self, tvars):
if self.__origin__:
if self.__parameters__:
_get_type_vars(self.__parameters__, tvars)
def __repr__(self):
if self.__origin__ is None:
return super().__repr__()
else:
tree = self._subs_tree()
if not isinstance(tree, tuple):
return repr(tree)
return tree[0]._tree_repr(tree)
def _tree_repr(self, tree):
arg_list = []
for arg in tree[1:]:
if not isinstance(arg, tuple):
arg_list.append(_type_repr(arg))
else:
arg_list.append(arg[0]._tree_repr(arg))
return super().__repr__() + "[%s]" % (", ").join(arg_list)
@_tp_cache
def __getitem__(self, parameters):
if parameters == ():
raise TypeError("Cannot take a Union of no types.")
if not isinstance(parameters, tuple):
parameters = (parameters,)
if self.__origin__ is None:
msg = "Union[arg, ...]: each arg must be a type."
else:
msg = "Parameters to generic types must be types."
parameters = tuple((_type_check(p, msg) for p in parameters))
if self is not Union:
_check_generic(self, parameters)
return self.__class__(parameters, origin=self, _root=True)
def _subs_tree(self, tvars=None, args=None):
if self is Union:
return Union
tree_args = _subs_tree(self, tvars, args)
tree_args = _remove_dups_flatten(tree_args)
if len(tree_args) == 1:
return tree_args[0]
else:
return (Union,) + tree_args
def __eq__(self, other):
if isinstance(other, _Union):
return self.__tree_hash__ == other.__tree_hash__
elif self is not Union:
return self._subs_tree() == other
else:
return self is other
def __hash__(self):
return self.__tree_hash__
def __instancecheck__(self, obj):
raise TypeError("Unions cannot be used with isinstance().")
def __subclasscheck__(self, cls):
raise TypeError("Unions cannot be used with issubclass().")
Union = _Union(_root=True)
class _Optional(_FinalTypingBase, _root=True):
"""Optional type.
Optional[X] is equivalent to Union[X, None].
"""
__slots__ = ()
@_tp_cache
def __getitem__(self, arg):
arg = _type_check(arg, "Optional[t] requires a single type.")
return Union[(arg, type(None))]
Optional = _Optional(_root=True)
def _next_in_mro(cls):
"""Helper for Generic.__new__.
Returns the class after the last occurrence of Generic or
Generic[...] in cls.__mro__.
"""
next_in_mro = object
for i, c in enumerate(cls.__mro__[:-1]):
if isinstance(c, GenericMeta):
next_in_mro = c._gorg is Generic and cls.__mro__[i + 1]
return next_in_mro
def _make_subclasshook(cls):
"""Construct a __subclasshook__ callable that incorporates
the associated __extra__ class in subclass checks performed
against cls.
"""
if isinstance(cls.__extra__, abc.ABCMeta):
def __extrahook__(subclass):
res = cls.__extra__.__subclasshook__(subclass)
if res is not NotImplemented:
return res
elif cls.__extra__ in subclass.__mro__:
return True
else:
for scls in cls.__extra__.__subclasses__():
if isinstance(scls, GenericMeta):
continue
if issubclass(subclass, scls):
return True
return NotImplemented
else:
def __extrahook__(subclass):
if cls.__extra__:
if issubclass(subclass, cls.__extra__):
return True
return NotImplemented
return __extrahook__
def _no_slots_copy(dct):
"""Internal helper: copy class __dict__ and clean slots class variables.
(They will be re-created if necessary by normal class machinery.)
"""
dict_copy = dict(dct)
if "__slots__" in dict_copy:
for slot in dict_copy["__slots__"]:
dict_copy.pop(slot, None)
return dict_copy
class GenericMeta(TypingMeta, abc.ABCMeta):
"""Metaclass for generic types.
This is a metaclass for typing.Generic and generic ABCs defined in
typing module. User defined subclasses of GenericMeta can override
__new__ and invoke super().__new__. Note that GenericMeta.__new__
has strict rules on what is allowed in its bases argument:
* plain Generic is disallowed in bases;
* Generic[...] should appear in bases at most once;
* if Generic[...] is present, then it should list all type variables
that appear in other bases.
In addition, type of all generic bases is erased, e.g., C[int] is
stripped to plain C.
"""
def __new__(
cls,
name,
bases,
namespace,
tvars=None,
args=None,
origin=None,
extra=None,
orig_bases=None,
):
"""Create a new generic class. GenericMeta.__new__ accepts
keyword arguments that are used for internal bookkeeping, therefore
an override should pass unused keyword arguments to super().
"""
if tvars is not None:
if not origin is not None:
raise AssertionError
if not all((isinstance(t, TypeVar) for t in tvars)):
raise AssertionError(tvars)
else:
if not tvars is None:
raise AssertionError(tvars)
if not args is None:
raise AssertionError(args)
if not origin is None:
raise AssertionError(origin)
tvars = _type_vars(bases)
gvars = None
for base in bases:
if base is Generic:
raise TypeError("Cannot inherit from plain Generic")
if isinstance(base, GenericMeta):
if base.__origin__ is Generic:
if gvars is not None:
raise TypeError(
"Cannot inherit from Generic[...] multiple types."
)
gvars = base.__parameters__
if gvars is None:
gvars = tvars
else:
tvarset = set(tvars)
gvarset = set(gvars)
if not tvarset <= gvarset:
raise TypeError(
"Some type variables (%s) are not listed in Generic[%s]"
% (
(", ").join((str(t) for t in tvars if t not in gvarset)),
(", ").join((str(g) for g in gvars)),
)
)
tvars = gvars
initial_bases = bases
if extra is not None:
if type(extra) is abc.ABCMeta:
if extra not in bases:
bases = (extra,) + bases
bases = tuple(
((b._gorg if isinstance(b, GenericMeta) else b) for b in bases)
)
if any((isinstance(b, GenericMeta) and b is not Generic for b in bases)):
bases = tuple((b for b in bases if b is not Generic))
namespace.update(
{
"__origin__": origin,
"__extra__": extra,
"_gorg": originNoneorigin._gorg,
}
)
self = super().__new__(cls, name, bases, namespace, _root=True)
super(GenericMeta, self).__setattr__("_gorg", originselforigin._gorg)
self.__parameters__ = tvars
self.__args__ = (
tuple(
(
(
...
if a is _TypingEllipsis
else (() if a is _TypingEmpty else a)
)
for a in args
)
)
if args
else None
)
self.__next_in_mro__ = _next_in_mro(self)
if orig_bases is None:
self.__orig_bases__ = initial_bases
if (
"__subclasshook__" not in namespace
and extra
or getattr(self.__subclasshook__, "__name__", "") == "__extrahook__"
):
self.__subclasshook__ = _make_subclasshook(self)
if isinstance(extra, abc.ABCMeta):
self._abc_registry = extra._abc_registry
self._abc_cache = extra._abc_cache
else:
if origin is not None:
self._abc_registry = origin._abc_registry
self._abc_cache = origin._abc_cache
if origin:
if hasattr(origin, "__qualname__"):
self.__qualname__ = origin.__qualname__
self.__tree_hash__ = (
hash(self._subs_tree())
if origin
else super(GenericMeta, self).__hash__()
)
return self
@property
def _abc_negative_cache(self):
if isinstance(self.__extra__, abc.ABCMeta):
return self.__extra__._abc_negative_cache
else:
return self._gorg._abc_generic_negative_cache
@_abc_negative_cache.setter
def _abc_negative_cache(self, value):
if self.__origin__ is None:
if isinstance(self.__extra__, abc.ABCMeta):
self.__extra__._abc_negative_cache = value
else:
self._abc_generic_negative_cache = value
@property
def _abc_negative_cache_version(self):
if isinstance(self.__extra__, abc.ABCMeta):
return self.__extra__._abc_negative_cache_version
else:
return self._gorg._abc_generic_negative_cache_version
@_abc_negative_cache_version.setter
def _abc_negative_cache_version(self, value):
if self.__origin__ is None:
if isinstance(self.__extra__, abc.ABCMeta):
self.__extra__._abc_negative_cache_version = value
else:
self._abc_generic_negative_cache_version = value
def _get_type_vars(self, tvars):
if self.__origin__:
if self.__parameters__:
_get_type_vars(self.__parameters__, tvars)
def _eval_type(self, globalns, localns):
ev_origin = (
self.__origin__._eval_type(globalns, localns) if self.__origin__ else None
)
ev_args = (
tuple((_eval_type(a, globalns, localns) for a in self.__args__))
if self.__args__
else None
)
if ev_origin == self.__origin__:
if ev_args == self.__args__:
return self
return self.__class__(
self.__name__,
self.__bases__,
_no_slots_copy(self.__dict__),
tvars=_type_vars(ev_args) if ev_args else None,
args=ev_args,
origin=ev_origin,
extra=self.__extra__,
orig_bases=self.__orig_bases__,
)
def __repr__(self):
if self.__origin__ is None:
return super().__repr__()
else:
return self._tree_repr(self._subs_tree())
def _tree_repr(self, tree):
arg_list = []
for arg in tree[1:]:
if arg == ():
arg_list.append("()")
elif not isinstance(arg, tuple):
arg_list.append(_type_repr(arg))
else:
arg_list.append(arg[0]._tree_repr(arg))
return super().__repr__() + "[%s]" % (", ").join(arg_list)
def _subs_tree(self, tvars=None, args=None):
if self.__origin__ is None:
return self
else:
tree_args = _subs_tree(self, tvars, args)
return (self._gorg,) + tuple(tree_args)
def __eq__(self, other):
if not isinstance(other, GenericMeta):
return NotImplemented
elif self.__origin__ is None or other.__origin__ is None:
return self is other
else:
return self.__tree_hash__ == other.__tree_hash__
def __hash__(self):
return self.__tree_hash__
@_tp_cache
def __getitem__(self, params):
if not isinstance(params, tuple):
params = (params,)
if not params:
if self._gorg is not Tuple:
raise TypeError(
"Parameter list to %s[...] cannot be empty" % _qualname(self)
)
msg = "Parameters to generic types must be types."
params = tuple((_type_check(p, msg) for p in params))
if self is Generic:
if not all((isinstance(p, TypeVar) for p in params)):
raise TypeError("Parameters to Generic[...] must all be type variables")
if len(set(params)) != len(params):
raise TypeError("Parameters to Generic[...] must all be unique")
tvars = params
args = params
else:
if self in (Tuple, Callable):
tvars = _type_vars(params)
args = params
else:
if self is _Protocol:
tvars = params
args = params
else:
if self.__origin__ in (Generic, _Protocol):
raise TypeError(
"Cannot subscript already-subscripted %s" % repr(self)
)
else:
_check_generic(self, params)
tvars = _type_vars(params)
args = params
prepend = (self,) if self.__origin__ is None else ()
return self.__class__(
self.__name__,
prepend + self.__bases__,
_no_slots_copy(self.__dict__),
tvars=tvars,
args=args,
origin=self,
extra=self.__extra__,
orig_bases=self.__orig_bases__,
)
def __subclasscheck__(self, cls):
if self.__origin__ is not None:
if sys._getframe(1).f_globals["__name__"] not in ("abc", "functools"):
raise TypeError(
"Parameterized generics cannot be used with class or instance checks"
)
return False
else:
if self is Generic:
raise TypeError(
"Class %r cannot be used with class or instance checks" % self
)
return super().__subclasscheck__(cls)
def __instancecheck__(self, instance):
return issubclass(instance.__class__, self)
def __setattr__(self, attr, value):
if (
attr.startswith("__")
and attr.endswith("__")
or attr.startswith("_abc_")
or self._gorg is None
):
super(GenericMeta, self).__setattr__(attr, value)
else:
super(GenericMeta, self._gorg).__setattr__(attr, value)
Generic = None
def _generic_new(base_cls, cls, *args, **kwds):
if cls.__origin__ is None:
return base_cls.__new__(cls)
else:
origin = cls._gorg
obj = base_cls.__new__(origin)
try:
obj.__orig_class__ = cls
except AttributeError:
pass
obj.__init__(*args, **kwds)
return obj
class Generic(metaclass=GenericMeta):
"""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
"""
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Generic:
raise TypeError(
"Type Generic cannot be instantiated; it can be used only as a base class"
)
return _generic_new(cls.__next_in_mro__, cls, *args, **kwds)
class _TypingEmpty:
"""Internal placeholder for () or []. Used by TupleMeta and CallableMeta
to allow empty list/tuple in specific places, without allowing them
to sneak in where prohibited.
"""
pass
class _TypingEllipsis:
"""Internal placeholder for ... (ellipsis)."""
pass
class TupleMeta(GenericMeta):
"""Metaclass for Tuple (internal)."""
@_tp_cache
def __getitem__(self, parameters):
if self.__origin__ is not None or self._gorg is not Tuple:
return super().__getitem__(parameters)
elif parameters == ():
return super().__getitem__((_TypingEmpty,))
else:
if not isinstance(parameters, tuple):
parameters = (parameters,)
if len(parameters) == 2:
if parameters[1] is ...:
msg = "Tuple[t, ...]: t must be a type."
p = _type_check(parameters[0], msg)
return super().__getitem__((p, _TypingEllipsis))
msg = "Tuple[t0, t1, ...]: each t must be a type."
parameters = tuple((_type_check(p, msg) for p in parameters))
return super().__getitem__(parameters)
def __instancecheck__(self, obj):
if self.__args__ is None:
return isinstance(obj, tuple)
raise TypeError("Parameterized Tuple cannot be used with isinstance().")
def __subclasscheck__(self, cls):
if self.__args__ is None:
return issubclass(cls, tuple)
raise TypeError("Parameterized Tuple cannot be used with issubclass().")
class Tuple(tuple, extra=tuple, metaclass=TupleMeta):
"""Tuple type; Tuple[X, Y] is the cross-product type of X and Y.
Example: Tuple[T1, T2] is a tuple of two elements corresponding
to type variables T1 and T2. Tuple[int, float, str] is a tuple
of an int, a float and a string.
To specify a variable-length tuple of homogeneous type, use Tuple[T, ...].
"""
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Tuple:
raise TypeError("Type Tuple cannot be instantiated; use tuple() instead")
return _generic_new(tuple, cls, *args, **kwds)
class CallableMeta(GenericMeta):
"""Metaclass for Callable (internal)."""
def __repr__(self):
if self.__origin__ is None:
return super().__repr__()
else:
return self._tree_repr(self._subs_tree())
def _tree_repr(self, tree):
if self._gorg is not Callable:
return super()._tree_repr(tree)
arg_list = []
for arg in tree[1:]:
if not isinstance(arg, tuple):
arg_list.append(_type_repr(arg))
else:
arg_list.append(arg[0]._tree_repr(arg))
if arg_list[0] == "...":
return repr(tree[0]) + "[..., %s]" % arg_list[1]
else:
return repr(tree[0]) + "[[%s], %s]" % (
(", ").join(arg_list[:-1]),
arg_list[-1],
)
def __getitem__(self, parameters):
"""A thin wrapper around __getitem_inner__ to provide the latter
with hashable arguments to improve speed.
"""
if self.__origin__ is not None or self._gorg is not Callable:
return super().__getitem__(parameters)
else:
if not isinstance(parameters, tuple) or len(parameters) != 2:
raise TypeError(
"Callable must be used as Callable[[arg, ...], result]."
)
args, result = parameters
if args is Ellipsis:
parameters = (Ellipsis, result)
else:
if not isinstance(args, list):
raise TypeError(
"Callable[args, result]: args must be a list. Got %.100r."
% (args,)
)
parameters = (tuple(args), result)
return self.__getitem_inner__(parameters)
@_tp_cache
def __getitem_inner__(self, parameters):
args, result = parameters
msg = "Callable[args, result]: result must be a type."
result = _type_check(result, msg)
if args is Ellipsis:
return super().__getitem__((_TypingEllipsis, result))
else:
msg = "Callable[[arg, ...], result]: each arg must be a type."
args = tuple((_type_check(arg, msg) for arg in args))
parameters = args + (result,)
return super().__getitem__(parameters)
class Callable(extra=collections_abc.Callable, metaclass=CallableMeta):
"""Callable type; Callable[[int], str] is a function of (int) -> str.
The subscription syntax must always be used with exactly two
values: the argument list and the return type. The argument list
must be a list of types or ellipsis; the return type must be a single type.
There is no syntax to indicate optional or keyword arguments,
such function types are rarely used as callback types.
"""
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Callable:
raise TypeError(
"Type Callable cannot be instantiated; use a non-abstract subclass instead"
)
return _generic_new(cls.__next_in_mro__, cls, *args, **kwds)
class _ClassVar(_FinalTypingBase, _root=True):
"""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
ClassVar accepts only types and cannot be further subscribed.
Note that ClassVar is not a class itself, and should not
be used with isinstance() or issubclass().
"""
__slots__ = ("__type__",)
def __init__(self, tp=None, **kwds):
self.__type__ = tp
def __getitem__(self, item):
cls = type(self)
if self.__type__ is None:
return cls(
_type_check(
item, ("{} accepts only single type.").format(cls.__name__[1:])
),
_root=True,
)
raise TypeError(("{} cannot be further subscripted").format(cls.__name__[1:]))
def _eval_type(self, globalns, localns):
new_tp = _eval_type(self.__type__, globalns, localns)
if new_tp == self.__type__:
return self
else:
return type(self)(new_tp, _root=True)
def __repr__(self):
r = super().__repr__()
if self.__type__ is not None:
r += ("[{}]").format(_type_repr(self.__type__))
return r
def __hash__(self):
return hash((type(self).__name__, self.__type__))
def __eq__(self, other):
if not isinstance(other, _ClassVar):
return NotImplemented
elif self.__type__ is not None:
return self.__type__ == other.__type__
else:
return self is other
ClassVar = _ClassVar(_root=True)
def cast(typ, val):
"""Cast a value to a type.
This returns the value unchanged. To the type checker this
signals that the return value has the designated type, but at
runtime we intentionally don't check anything (we want this
to be as fast as possible).
"""
return val
def _get_defaults(func):
"""Internal helper to extract the default arguments, by name."""
try:
code = func.__code__
except AttributeError:
return {}
pos_count = code.co_argcount
arg_names = code.co_varnames
arg_names = arg_names[:pos_count]
defaults = func.__defaults__ or ()
kwdefaults = func.__kwdefaults__
res = dict(kwdefaults) if kwdefaults else {}
pos_offset = pos_count - len(defaults)
for name, value in zip(arg_names[pos_offset:], defaults):
if not name not in res:
raise AssertionError
res[name] = value
return res
_allowed_types = (
types.FunctionType,
types.BuiltinFunctionType,
types.MethodType,
types.ModuleType,
WrapperDescriptorType,
MethodWrapperType,
MethodDescriptorType,
)
def get_type_hints(obj, globalns=None, localns=None):
"""Return type hints for an object.
This is often the same as obj.__annotations__, but it handles
forward references encoded as string literals, and if necessary
adds Optional[t] if a default value equal to None is set.
The argument may be a module, class, method, or function. The annotations
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.
- If one dict argument is passed, it is used for both globals and
locals.
- If two dict arguments are passed, they specify globals and
locals, respectively.
"""
if getattr(obj, "__no_type_check__", None):
return {}
elif isinstance(obj, type):
hints = {}
for base in reversed(obj.__mro__):
if globalns is None:
base_globals = sys.modules[base.__module__].__dict__
else:
base_globals = globalns
ann = base.__dict__.get("__annotations__", {})
for name, value in ann.items():
if value is None:
value = type(None)
if isinstance(value, str):
value = _ForwardRef(value)
value = _eval_type(value, base_globals, localns)
hints[name] = value
return hints
else:
if globalns is None:
if isinstance(obj, types.ModuleType):
globalns = obj.__dict__
else:
globalns = getattr(obj, "__globals__", {})
if localns is None:
localns = globalns
else:
if localns is None:
localns = globalns
hints = getattr(obj, "__annotations__", None)
if hints is None:
if isinstance(obj, _allowed_types):
return {}
raise TypeError(
("{!r} is not a module, class, method, or function.").format(obj)
)
defaults = _get_defaults(obj)
hints = dict(hints)
for name, value in hints.items():
if value is None:
value = type(None)
if isinstance(value, str):
value = _ForwardRef(value)
value = _eval_type(value, globalns, localns)
if name in defaults:
if defaults[name] is None:
value = Optional[value]
hints[name] = value
return hints
def no_type_check(arg):
"""Decorator to indicate that annotations are not type hints.
The argument must be a class or function; if it is a class, it
applies recursively to all methods and classes defined in that class
(but not to methods defined in its superclasses or subclasses).
This mutates the function(s) or class(es) in place.
"""
if isinstance(arg, type):
arg_attrs = arg.__dict__.copy()
for attr, val in arg.__dict__.items():
if val in arg.__bases__ + (arg,):
arg_attrs.pop(attr)
for obj in arg_attrs.values():
if isinstance(obj, types.FunctionType):
obj.__no_type_check__ = True
if isinstance(obj, type):
no_type_check(obj)
try:
arg.__no_type_check__ = True
except TypeError:
pass
return arg
def no_type_check_decorator(decorator):
"""Decorator to give another decorator the @no_type_check effect.
This wraps the decorator with something that wraps the decorated
function in @no_type_check.
"""
@functools.wraps(decorator)
def wrapped_decorator(*args, **kwds):
func = decorator(*args, **kwds)
func = no_type_check(func)
return func
return wrapped_decorator
def _overload_dummy(*args, **kwds):
"""Helper for @overload to raise when called."""
raise NotImplementedError(
"You should not call an overloaded function. A series of @overload-decorated functions outside a stub module should always be followed by an implementation that is not @overload-ed."
)
def overload(func):
"""Decorator for overloaded functions/methods.
In a stub file, place two or more stub definitions for the same
function in a row, each decorated with @overload. For example:
@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
"""
return _overload_dummy
class _ProtocolMeta(GenericMeta):
"""Internal metaclass for _Protocol.
This exists so _Protocol classes can be generic without deriving
from Generic.
"""
def __instancecheck__(self, obj):
if _Protocol not in self.__bases__:
return super().__instancecheck__(obj)
raise TypeError("Protocols cannot be used with isinstance().")
def __subclasscheck__(self, cls):
if not self._is_protocol:
return NotImplemented
elif self is _Protocol:
return True
else:
attrs = self._get_protocol_attrs()
for attr in attrs:
if not any((attr in d.__dict__ for d in cls.__mro__)):
return False
return True
def _get_protocol_attrs(self):
protocol_bases = []
for c in self.__mro__:
if getattr(c, "_is_protocol", False):
if c.__name__ != "_Protocol":
protocol_bases.append(c)
attrs = set()
for base in protocol_bases:
for attr in base.__dict__.keys():
for c in self.__mro__:
if c is not base:
if attr in c.__dict__:
if not getattr(c, "_is_protocol", False):
break
else:
if not attr.startswith("_abc_"):
if attr != "__abstractmethods__":
if attr != "__annotations__":
if attr != "__weakref__":
if attr != "_is_protocol":
if attr != "_gorg":
if attr != "__dict__":
if attr != "__args__":
if attr != "__slots__":
if (
attr
!= "_get_protocol_attrs"
):
if (
attr
!= "__next_in_mro__"
):
if (
attr
!= "__parameters__"
):
if (
attr
!= "__origin__"
):
if (
attr
!= "__orig_bases__"
):
if (
attr
!= "__extra__"
):
if (
attr
!= "__tree_hash__"
):
if (
attr
!= "__module__"
):
attrs.add(
attr
)
return attrs
class _Protocol(metaclass=_ProtocolMeta):
"""Internal base class for protocol classes.
This implements a simple-minded structural issubclass check
(similar but more general than the one-offs in collections.abc
such as Hashable).
"""
__slots__ = ()
_is_protocol = True
Hashable = collections_abc.Hashable
if hasattr(collections_abc, "Awaitable"):
class Awaitable(Generic[T_co], extra=collections_abc.Awaitable):
__slots__ = ()
__all__.append("Awaitable")
if hasattr(collections_abc, "Coroutine"):
class Coroutine(
Awaitable[V_co],
Generic[(T_co, T_contra, V_co)],
extra=collections_abc.Coroutine,
):
__slots__ = ()
__all__.append("Coroutine")
if hasattr(collections_abc, "AsyncIterable"):
class AsyncIterable(Generic[T_co], extra=collections_abc.AsyncIterable):
__slots__ = ()
class AsyncIterator(AsyncIterable[T_co], extra=collections_abc.AsyncIterator):
__slots__ = ()
__all__.append("AsyncIterable")
__all__.append("AsyncIterator")
class Iterable(Generic[T_co], extra=collections_abc.Iterable):
__slots__ = ()
class Iterator(Iterable[T_co], extra=collections_abc.Iterator):
__slots__ = ()
class SupportsInt(_Protocol):
__slots__ = ()
@abstractmethod
def __int__(self):
pass
class SupportsFloat(_Protocol):
__slots__ = ()
@abstractmethod
def __float__(self):
pass
class SupportsComplex(_Protocol):
__slots__ = ()
@abstractmethod
def __complex__(self):
pass
class SupportsBytes(_Protocol):
__slots__ = ()
@abstractmethod
def __bytes__(self):
pass
class SupportsAbs(_Protocol[T_co]):
__slots__ = ()
@abstractmethod
def __abs__(self):
pass
class SupportsRound(_Protocol[T_co]):
__slots__ = ()
@abstractmethod
def __round__(self, ndigits=0):
pass
if hasattr(collections_abc, "Reversible"):
class Reversible(Iterable[T_co], extra=collections_abc.Reversible):
__slots__ = ()
else:
class Reversible(_Protocol[T_co]):
__slots__ = ()
@abstractmethod
def __reversed__(self):
pass
Sized = collections_abc.Sized
class Container(Generic[T_co], extra=collections_abc.Container):
__slots__ = ()
if hasattr(collections_abc, "Collection"):
class Collection(
Sized, Iterable[T_co], Container[T_co], extra=collections_abc.Collection
):
__slots__ = ()
__all__.append("Collection")
if hasattr(collections_abc, "Collection"):
class AbstractSet(Collection[T_co], extra=collections_abc.Set):
__slots__ = ()
else:
class AbstractSet(
Sized, Iterable[T_co], Container[T_co], extra=collections_abc.Set
):
__slots__ = ()
class MutableSet(AbstractSet[T], extra=collections_abc.MutableSet):
__slots__ = ()
if hasattr(collections_abc, "Collection"):
class Mapping(Collection[KT], Generic[(KT, VT_co)], extra=collections_abc.Mapping):
__slots__ = ()
else:
class Mapping(
Sized,
Iterable[KT],
Container[KT],
Generic[(KT, VT_co)],
extra=collections_abc.Mapping,
):
__slots__ = ()
class MutableMapping(Mapping[(KT, VT)], extra=collections_abc.MutableMapping):
__slots__ = ()
if hasattr(collections_abc, "Reversible"):
if hasattr(collections_abc, "Collection"):
class Sequence(
Reversible[T_co], Collection[T_co], extra=collections_abc.Sequence
):
__slots__ = ()
else:
class Sequence(
Sized, Reversible[T_co], Container[T_co], extra=collections_abc.Sequence
):
__slots__ = ()
else:
class Sequence(
Sized, Iterable[T_co], Container[T_co], extra=collections_abc.Sequence
):
__slots__ = ()
class MutableSequence(Sequence[T], extra=collections_abc.MutableSequence):
__slots__ = ()
class ByteString(Sequence[int], extra=collections_abc.ByteString):
__slots__ = ()
class List(list, MutableSequence[T], extra=list):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is List:
raise TypeError("Type List cannot be instantiated; use list() instead")
return _generic_new(list, cls, *args, **kwds)
class Deque(collections.deque, MutableSequence[T], extra=collections.deque):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Deque:
return collections.deque(*args, **kwds)
else:
return _generic_new(collections.deque, cls, *args, **kwds)
class Set(set, MutableSet[T], extra=set):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Set:
raise TypeError("Type Set cannot be instantiated; use set() instead")
return _generic_new(set, cls, *args, **kwds)
class FrozenSet(frozenset, AbstractSet[T_co], extra=frozenset):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is FrozenSet:
raise TypeError(
"Type FrozenSet cannot be instantiated; use frozenset() instead"
)
return _generic_new(frozenset, cls, *args, **kwds)
class MappingView(Sized, Iterable[T_co], extra=collections_abc.MappingView):
__slots__ = ()
class KeysView(MappingView[KT], AbstractSet[KT], extra=collections_abc.KeysView):
__slots__ = ()
class ItemsView(
MappingView[Tuple[(KT, VT_co)]],
AbstractSet[Tuple[(KT, VT_co)]],
Generic[(KT, VT_co)],
extra=collections_abc.ItemsView,
):
__slots__ = ()
class ValuesView(MappingView[VT_co], extra=collections_abc.ValuesView):
__slots__ = ()
if hasattr(contextlib, "AbstractContextManager"):
class ContextManager(Generic[T_co], extra=contextlib.AbstractContextManager):
__slots__ = ()
else:
class ContextManager(Generic[T_co]):
__slots__ = ()
def __enter__(self):
return self
@abc.abstractmethod
def __exit__(self, exc_type, exc_value, traceback):
pass
@classmethod
def __subclasshook__(cls, C):
if cls is ContextManager:
if any(("__enter__" in B.__dict__ for B in C.__mro__)):
if any(("__exit__" in B.__dict__ for B in C.__mro__)):
return True
return NotImplemented
if hasattr(contextlib, "AbstractAsyncContextManager"):
class AsyncContextManager(
Generic[T_co], extra=contextlib.AbstractAsyncContextManager
):
__slots__ = ()
__all__.append("AsyncContextManager")
else:
if sys.version_info[:2] >= (3, 5):
exec(
'\nclass AsyncContextManager(Generic[T_co]):\n __slots__ = ()\n\n async def __aenter__(self):\n return self\n\n @abc.abstractmethod\n async def __aexit__(self, exc_type, exc_value, traceback):\n return None\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is AsyncContextManager:\n if sys.version_info[:2] >= (3, 6):\n return _collections_abc._check_methods(C, "__aenter__", "__aexit__")\n if (any("__aenter__" in B.__dict__ for B in C.__mro__) and\n any("__aexit__" in B.__dict__ for B in C.__mro__)):\n return True\n return NotImplemented\n\n__all__.append(\'AsyncContextManager\')\n'
)
class Dict(dict, MutableMapping[(KT, VT)], extra=dict):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Dict:
raise TypeError("Type Dict cannot be instantiated; use dict() instead")
return _generic_new(dict, cls, *args, **kwds)
class DefaultDict(
collections.defaultdict, MutableMapping[(KT, VT)], extra=collections.defaultdict
):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is DefaultDict:
return collections.defaultdict(*args, **kwds)
else:
return _generic_new(collections.defaultdict, cls, *args, **kwds)
class Counter(collections.Counter, Dict[(T, int)], extra=collections.Counter):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Counter:
return collections.Counter(*args, **kwds)
else:
return _generic_new(collections.Counter, cls, *args, **kwds)
if hasattr(collections, "ChainMap"):
__all__.append("ChainMap")
class ChainMap(
collections.ChainMap, MutableMapping[(KT, VT)], extra=collections.ChainMap
):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is ChainMap:
return collections.ChainMap(*args, **kwds)
else:
return _generic_new(collections.ChainMap, cls, *args, **kwds)
if hasattr(collections_abc, "Generator"):
_G_base = collections_abc.Generator
else:
_G_base = types.GeneratorType
class Generator(Iterator[T_co], Generic[(T_co, T_contra, V_co)], extra=_G_base):
__slots__ = ()
def __new__(cls, *args, **kwds):
if cls._gorg is Generator:
raise TypeError(
"Type Generator cannot be instantiated; create a subclass instead"
)
return _generic_new(_G_base, cls, *args, **kwds)
if hasattr(collections_abc, "AsyncGenerator"):
class AsyncGenerator(
AsyncIterator[T_co],
Generic[(T_co, T_contra)],
extra=collections_abc.AsyncGenerator,
):
__slots__ = ()
__all__.append("AsyncGenerator")
CT_co = TypeVar("CT_co", covariant=True, bound=type)
class Type(Generic[CT_co], extra=type):
"""A special construct usable to annotate class objects.
For example, suppose we have the following classes::
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.
"""
__slots__ = ()
def _make_nmtuple(name, types):
msg = "NamedTuple('Name', [(f0, t0), (f1, t1), ...]); each t must be a type"
types = [(n, _type_check(t, msg)) for n, t in types]
nm_tpl = collections.namedtuple(name, [n for n, t in types])
nm_tpl.__annotations__ = nm_tpl._field_types = collections.OrderedDict(types)
try:
nm_tpl.__module__ = sys._getframe(2).f_globals.get("__name__", "__main__")
except (AttributeError, ValueError):
pass
return nm_tpl
_PY36 = sys.version_info[:2] >= (3, 6)
_prohibited = (
"__new__",
"__init__",
"__slots__",
"__getnewargs__",
"_fields",
"_field_defaults",
"_field_types",
"_make",
"_replace",
"_asdict",
"_source",
)
_special = ("__module__", "__name__", "__qualname__", "__annotations__")
class NamedTupleMeta(type):
def __new__(cls, typename, bases, ns):
if ns.get("_root", False):
return super().__new__(cls, typename, bases, ns)
else:
if not _PY36:
raise TypeError(
"Class syntax for NamedTuple is only supported in Python 3.6+"
)
types = ns.get("__annotations__", {})
nm_tpl = _make_nmtuple(typename, types.items())
defaults = []
defaults_dict = {}
for field_name in types:
if field_name in ns:
default_value = ns[field_name]
defaults.append(default_value)
defaults_dict[field_name] = default_value
elif defaults:
raise TypeError(
(
"Non-default namedtuple field {field_name} cannot follow default field(s) {default_names}"
).format(
field_name=field_name,
default_names=(", ").join(defaults_dict.keys()),
)
)
nm_tpl.__new__.__defaults__ = tuple(defaults)
nm_tpl._field_defaults = defaults_dict
for key in ns:
if key in _prohibited:
raise AttributeError("Cannot overwrite NamedTuple attribute " + key)
elif key not in _special:
if key not in nm_tpl._fields:
setattr(nm_tpl, key, ns[key])
return nm_tpl
class NamedTuple(metaclass=NamedTupleMeta):
"""Typed version of namedtuple.
Usage in Python versions >= 3.6::
class Employee(NamedTuple):
name: str
id: int
This is equivalent to::
Employee = collections.namedtuple('Employee', ['name', 'id'])
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)])
"""
_root = True
def __new__(self, typename, fields=None, **kwargs):
if kwargs:
if not _PY36:
raise TypeError(
"Keyword syntax for NamedTuple is only supported in Python 3.6+"
)
if fields is None:
fields = kwargs.items()
else:
if kwargs:
raise TypeError(
"Either list of fields or keywords can be provided to NamedTuple, not both"
)
return _make_nmtuple(typename, fields)
def NewType(name, tp):
"""NewType creates simple unique types with almost zero
runtime overhead. NewType(name, tp) is considered a subtype of tp
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
"""
def new_type(x):
return x
new_type.__name__ = name
new_type.__supertype__ = tp
return new_type
Text = str
TYPE_CHECKING = False
class IO(Generic[AnyStr]):
"""Generic base class for TextIO and BinaryIO.
This is an abstract, generic version of the return of open().
NOTE: This does not distinguish between the different possible
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.
"""
__slots__ = ()
@abstractproperty
def mode(self):
pass
@abstractproperty
def name(self):
pass
@abstractmethod
def close(self):
pass
@abstractmethod
def closed(self):
pass
@abstractmethod
def fileno(self):
pass
@abstractmethod
def flush(self):
pass
@abstractmethod
def isatty(self):
pass
@abstractmethod
def read(self, n=-1):
pass
@abstractmethod
def readable(self):
pass
@abstractmethod
def readline(self, limit=-1):
pass
@abstractmethod
def readlines(self, hint=-1):
pass
@abstractmethod
def seek(self, offset, whence=0):
pass
@abstractmethod
def seekable(self):
pass
@abstractmethod
def tell(self):
pass
@abstractmethod
def truncate(self, size=None):
pass
@abstractmethod
def writable(self):
pass
@abstractmethod
def write(self, s):
pass
@abstractmethod
def writelines(self, lines):
pass
@abstractmethod
def __enter__(self):
pass
@abstractmethod
def __exit__(self, type, value, traceback):
pass
class BinaryIO(IO[bytes]):
"""Typed version of the return of open() in binary mode."""
__slots__ = ()
@abstractmethod
def write(self, s):
pass
@abstractmethod
def __enter__(self):
pass
class TextIO(IO[str]):
"""Typed version of the return of open() in text mode."""
__slots__ = ()
@abstractproperty
def buffer(self):
pass
@abstractproperty
def encoding(self):
pass
@abstractproperty
def errors(self):
pass
@abstractproperty
def line_buffering(self):
pass
@abstractproperty
def newlines(self):
pass
@abstractmethod
def __enter__(self):
pass
class io:
"""Wrapper namespace for IO generic classes."""
__all__ = ["IO", "TextIO", "BinaryIO"]
IO = IO
TextIO = TextIO
BinaryIO = BinaryIO
io.__name__ = __name__ + ".io"
sys.modules[io.__name__] = io
Pattern = _TypeAlias(
"Pattern", AnyStr, type(stdlib_re.compile("")), lambda p: p.pattern
)
Match = _TypeAlias(
"Match", AnyStr, type(stdlib_re.match("", "")), lambda m: m.re.pattern
)
class re:
"""Wrapper namespace for re type aliases."""
__all__ = ["Pattern", "Match"]
Pattern = Pattern
Match = Match
re.__name__ = __name__ + ".re"
sys.modules[re.__name__] = re
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