AlkantarClanX12
Your IP : 3.137.175.80
import sys
import typing
from collections.abc import Callable
from os import PathLike
from typing import ( # type: ignore
TYPE_CHECKING,
AbstractSet,
Any,
Callable as TypingCallable,
ClassVar,
Dict,
ForwardRef,
Generator,
Iterable,
List,
Mapping,
NewType,
Optional,
Sequence,
Set,
Tuple,
Type,
TypeVar,
Union,
_eval_type,
cast,
get_type_hints,
)
from typing_extensions import (
Annotated,
Final,
Literal,
NotRequired as TypedDictNotRequired,
Required as TypedDictRequired,
)
try:
from typing import _TypingBase as typing_base # type: ignore
except ImportError:
from typing import _Final as typing_base # type: ignore
try:
from typing import GenericAlias as TypingGenericAlias # type: ignore
except ImportError:
# python < 3.9 does not have GenericAlias (list[int], tuple[str, ...] and so on)
TypingGenericAlias = ()
try:
from types import UnionType as TypesUnionType # type: ignore
except ImportError:
# python < 3.10 does not have UnionType (str | int, byte | bool and so on)
TypesUnionType = ()
if sys.version_info < (3, 9):
def evaluate_forwardref(type_: ForwardRef, globalns: Any, localns: Any) -> Any:
return type_._evaluate(globalns, localns)
else:
def evaluate_forwardref(type_: ForwardRef, globalns: Any, localns: Any) -> Any:
# Even though it is the right signature for python 3.9, mypy complains with
# `error: Too many arguments for "_evaluate" of "ForwardRef"` hence the cast...
return cast(Any, type_)._evaluate(globalns, localns, set())
if sys.version_info < (3, 9):
# Ensure we always get all the whole `Annotated` hint, not just the annotated type.
# For 3.7 to 3.8, `get_type_hints` doesn't recognize `typing_extensions.Annotated`,
# so it already returns the full annotation
get_all_type_hints = get_type_hints
else:
def get_all_type_hints(obj: Any, globalns: Any = None, localns: Any = None) -> Any:
return get_type_hints(obj, globalns, localns, include_extras=True)
_T = TypeVar('_T')
AnyCallable = TypingCallable[..., Any]
NoArgAnyCallable = TypingCallable[[], Any]
# workaround for https://github.com/python/mypy/issues/9496
AnyArgTCallable = TypingCallable[..., _T]
# Annotated[...] is implemented by returning an instance of one of these classes, depending on
# python/typing_extensions version.
AnnotatedTypeNames = {'AnnotatedMeta', '_AnnotatedAlias'}
LITERAL_TYPES: Set[Any] = {Literal}
if hasattr(typing, 'Literal'):
LITERAL_TYPES.add(typing.Literal)
if sys.version_info < (3, 8):
def get_origin(t: Type[Any]) -> Optional[Type[Any]]:
if type(t).__name__ in AnnotatedTypeNames:
# weirdly this is a runtime requirement, as well as for mypy
return cast(Type[Any], Annotated)
return getattr(t, '__origin__', None)
else:
from typing import get_origin as _typing_get_origin
def get_origin(tp: Type[Any]) -> Optional[Type[Any]]:
"""
We can't directly use `typing.get_origin` since we need a fallback to support
custom generic classes like `ConstrainedList`
It should be useless once https://github.com/cython/cython/issues/3537 is
solved and https://github.com/pydantic/pydantic/pull/1753 is merged.
"""
if type(tp).__name__ in AnnotatedTypeNames:
return cast(Type[Any], Annotated) # mypy complains about _SpecialForm
return _typing_get_origin(tp) or getattr(tp, '__origin__', None)
if sys.version_info < (3, 8):
from typing import _GenericAlias
def get_args(t: Type[Any]) -> Tuple[Any, ...]:
"""Compatibility version of get_args for python 3.7.
Mostly compatible with the python 3.8 `typing` module version
and able to handle almost all use cases.
"""
if type(t).__name__ in AnnotatedTypeNames:
return t.__args__ + t.__metadata__
if isinstance(t, _GenericAlias):
res = t.__args__
if t.__origin__ is Callable and res and res[0] is not Ellipsis:
res = (list(res[:-1]), res[-1])
return res
return getattr(t, '__args__', ())
else:
from typing import get_args as _typing_get_args
def _generic_get_args(tp: Type[Any]) -> Tuple[Any, ...]:
"""
In python 3.9, `typing.Dict`, `typing.List`, ...
do have an empty `__args__` by default (instead of the generic ~T for example).
In order to still support `Dict` for example and consider it as `Dict[Any, Any]`,
we retrieve the `_nparams` value that tells us how many parameters it needs.
"""
if hasattr(tp, '_nparams'):
return (Any,) * tp._nparams
# Special case for `tuple[()]`, which used to return ((),) with `typing.Tuple`
# in python 3.10- but now returns () for `tuple` and `Tuple`.
# This will probably be clarified in pydantic v2
try:
if tp == Tuple[()] or sys.version_info >= (3, 9) and tp == tuple[()]: # type: ignore[misc]
return ((),)
# there is a TypeError when compiled with cython
except TypeError: # pragma: no cover
pass
return ()
def get_args(tp: Type[Any]) -> Tuple[Any, ...]:
"""Get type arguments with all substitutions performed.
For unions, basic simplifications used by Union constructor are performed.
Examples::
get_args(Dict[str, int]) == (str, int)
get_args(int) == ()
get_args(Union[int, Union[T, int], str][int]) == (int, str)
get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
get_args(Callable[[], T][int]) == ([], int)
"""
if type(tp).__name__ in AnnotatedTypeNames:
return tp.__args__ + tp.__metadata__
# the fallback is needed for the same reasons as `get_origin` (see above)
return _typing_get_args(tp) or getattr(tp, '__args__', ()) or _generic_get_args(tp)
if sys.version_info < (3, 9):
def convert_generics(tp: Type[Any]) -> Type[Any]:
"""Python 3.9 and older only supports generics from `typing` module.
They convert strings to ForwardRef automatically.
Examples::
typing.List['Hero'] == typing.List[ForwardRef('Hero')]
"""
return tp
else:
from typing import _UnionGenericAlias # type: ignore
from typing_extensions import _AnnotatedAlias
def convert_generics(tp: Type[Any]) -> Type[Any]:
"""
Recursively searches for `str` type hints and replaces them with ForwardRef.
Examples::
convert_generics(list['Hero']) == list[ForwardRef('Hero')]
convert_generics(dict['Hero', 'Team']) == dict[ForwardRef('Hero'), ForwardRef('Team')]
convert_generics(typing.Dict['Hero', 'Team']) == typing.Dict[ForwardRef('Hero'), ForwardRef('Team')]
convert_generics(list[str | 'Hero'] | int) == list[str | ForwardRef('Hero')] | int
"""
origin = get_origin(tp)
if not origin or not hasattr(tp, '__args__'):
return tp
args = get_args(tp)
# typing.Annotated needs special treatment
if origin is Annotated:
return _AnnotatedAlias(convert_generics(args[0]), args[1:])
# recursively replace `str` instances inside of `GenericAlias` with `ForwardRef(arg)`
converted = tuple(
ForwardRef(arg) if isinstance(arg, str) and isinstance(tp, TypingGenericAlias) else convert_generics(arg)
for arg in args
)
if converted == args:
return tp
elif isinstance(tp, TypingGenericAlias):
return TypingGenericAlias(origin, converted)
elif isinstance(tp, TypesUnionType):
# recreate types.UnionType (PEP604, Python >= 3.10)
return _UnionGenericAlias(origin, converted)
else:
try:
setattr(tp, '__args__', converted)
except AttributeError:
pass
return tp
if sys.version_info < (3, 10):
def is_union(tp: Optional[Type[Any]]) -> bool:
return tp is Union
WithArgsTypes = (TypingGenericAlias,)
else:
import types
import typing
def is_union(tp: Optional[Type[Any]]) -> bool:
return tp is Union or tp is types.UnionType # noqa: E721
WithArgsTypes = (typing._GenericAlias, types.GenericAlias, types.UnionType)
StrPath = Union[str, PathLike]
if TYPE_CHECKING:
from .fields import ModelField
TupleGenerator = Generator[Tuple[str, Any], None, None]
DictStrAny = Dict[str, Any]
DictAny = Dict[Any, Any]
SetStr = Set[str]
ListStr = List[str]
IntStr = Union[int, str]
AbstractSetIntStr = AbstractSet[IntStr]
DictIntStrAny = Dict[IntStr, Any]
MappingIntStrAny = Mapping[IntStr, Any]
CallableGenerator = Generator[AnyCallable, None, None]
ReprArgs = Sequence[Tuple[Optional[str], Any]]
MYPY = False
if MYPY:
AnyClassMethod = classmethod[Any]
else:
# classmethod[TargetType, CallableParamSpecType, CallableReturnType]
AnyClassMethod = classmethod[Any, Any, Any]
__all__ = (
'AnyCallable',
'NoArgAnyCallable',
'NoneType',
'is_none_type',
'display_as_type',
'resolve_annotations',
'is_callable_type',
'is_literal_type',
'all_literal_values',
'is_namedtuple',
'is_typeddict',
'is_typeddict_special',
'is_new_type',
'new_type_supertype',
'is_classvar',
'is_finalvar',
'update_field_forward_refs',
'update_model_forward_refs',
'TupleGenerator',
'DictStrAny',
'DictAny',
'SetStr',
'ListStr',
'IntStr',
'AbstractSetIntStr',
'DictIntStrAny',
'CallableGenerator',
'ReprArgs',
'AnyClassMethod',
'CallableGenerator',
'WithArgsTypes',
'get_args',
'get_origin',
'get_sub_types',
'typing_base',
'get_all_type_hints',
'is_union',
'StrPath',
'MappingIntStrAny',
)
NoneType = None.__class__
NONE_TYPES: Tuple[Any, Any, Any] = (None, NoneType, Literal[None])
if sys.version_info < (3, 8):
# Even though this implementation is slower, we need it for python 3.7:
# In python 3.7 "Literal" is not a builtin type and uses a different
# mechanism.
# for this reason `Literal[None] is Literal[None]` evaluates to `False`,
# breaking the faster implementation used for the other python versions.
def is_none_type(type_: Any) -> bool:
return type_ in NONE_TYPES
elif sys.version_info[:2] == (3, 8):
def is_none_type(type_: Any) -> bool:
for none_type in NONE_TYPES:
if type_ is none_type:
return True
# With python 3.8, specifically 3.8.10, Literal "is" check sare very flakey
# can change on very subtle changes like use of types in other modules,
# hopefully this check avoids that issue.
if is_literal_type(type_): # pragma: no cover
return all_literal_values(type_) == (None,)
return False
else:
def is_none_type(type_: Any) -> bool:
return type_ in NONE_TYPES
def display_as_type(v: Type[Any]) -> str:
if not isinstance(v, typing_base) and not isinstance(v, WithArgsTypes) and not isinstance(v, type):
v = v.__class__
if is_union(get_origin(v)):
return f'Union[{", ".join(map(display_as_type, get_args(v)))}]'
if isinstance(v, WithArgsTypes):
# Generic alias are constructs like `list[int]`
return str(v).replace('typing.', '')
try:
return v.__name__
except AttributeError:
# happens with typing objects
return str(v).replace('typing.', '')
def resolve_annotations(raw_annotations: Dict[str, Type[Any]], module_name: Optional[str]) -> Dict[str, Type[Any]]:
"""
Partially taken from typing.get_type_hints.
Resolve string or ForwardRef annotations into type objects if possible.
"""
base_globals: Optional[Dict[str, Any]] = None
if module_name:
try:
module = sys.modules[module_name]
except KeyError:
# happens occasionally, see https://github.com/pydantic/pydantic/issues/2363
pass
else:
base_globals = module.__dict__
annotations = {}
for name, value in raw_annotations.items():
if isinstance(value, str):
if (3, 10) > sys.version_info >= (3, 9, 8) or sys.version_info >= (3, 10, 1):
value = ForwardRef(value, is_argument=False, is_class=True)
else:
value = ForwardRef(value, is_argument=False)
try:
value = _eval_type(value, base_globals, None)
except NameError:
# this is ok, it can be fixed with update_forward_refs
pass
annotations[name] = value
return annotations
def is_callable_type(type_: Type[Any]) -> bool:
return type_ is Callable or get_origin(type_) is Callable
def is_literal_type(type_: Type[Any]) -> bool:
return Literal is not None and get_origin(type_) in LITERAL_TYPES
def literal_values(type_: Type[Any]) -> Tuple[Any, ...]:
return get_args(type_)
def all_literal_values(type_: Type[Any]) -> Tuple[Any, ...]:
"""
This method is used to retrieve all Literal values as
Literal can be used recursively (see https://www.python.org/dev/peps/pep-0586)
e.g. `Literal[Literal[Literal[1, 2, 3], "foo"], 5, None]`
"""
if not is_literal_type(type_):
return (type_,)
values = literal_values(type_)
return tuple(x for value in values for x in all_literal_values(value))
def is_namedtuple(type_: Type[Any]) -> bool:
"""
Check if a given class is a named tuple.
It can be either a `typing.NamedTuple` or `collections.namedtuple`
"""
from .utils import lenient_issubclass
return lenient_issubclass(type_, tuple) and hasattr(type_, '_fields')
def is_typeddict(type_: Type[Any]) -> bool:
"""
Check if a given class is a typed dict (from `typing` or `typing_extensions`)
In 3.10, there will be a public method (https://docs.python.org/3.10/library/typing.html#typing.is_typeddict)
"""
from .utils import lenient_issubclass
return lenient_issubclass(type_, dict) and hasattr(type_, '__total__')
def _check_typeddict_special(type_: Any) -> bool:
return type_ is TypedDictRequired or type_ is TypedDictNotRequired
def is_typeddict_special(type_: Any) -> bool:
"""
Check if type is a TypedDict special form (Required or NotRequired).
"""
return _check_typeddict_special(type_) or _check_typeddict_special(get_origin(type_))
test_type = NewType('test_type', str)
def is_new_type(type_: Type[Any]) -> bool:
"""
Check whether type_ was created using typing.NewType
"""
return isinstance(type_, test_type.__class__) and hasattr(type_, '__supertype__') # type: ignore
def new_type_supertype(type_: Type[Any]) -> Type[Any]:
while hasattr(type_, '__supertype__'):
type_ = type_.__supertype__
return type_
def _check_classvar(v: Optional[Type[Any]]) -> bool:
if v is None:
return False
return v.__class__ == ClassVar.__class__ and getattr(v, '_name', None) == 'ClassVar'
def _check_finalvar(v: Optional[Type[Any]]) -> bool:
"""
Check if a given type is a `typing.Final` type.
"""
if v is None:
return False
return v.__class__ == Final.__class__ and (sys.version_info < (3, 8) or getattr(v, '_name', None) == 'Final')
def is_classvar(ann_type: Type[Any]) -> bool:
if _check_classvar(ann_type) or _check_classvar(get_origin(ann_type)):
return True
# this is an ugly workaround for class vars that contain forward references and are therefore themselves
# forward references, see #3679
if ann_type.__class__ == ForwardRef and ann_type.__forward_arg__.startswith('ClassVar['):
return True
return False
def is_finalvar(ann_type: Type[Any]) -> bool:
return _check_finalvar(ann_type) or _check_finalvar(get_origin(ann_type))
def update_field_forward_refs(field: 'ModelField', globalns: Any, localns: Any) -> None:
"""
Try to update ForwardRefs on fields based on this ModelField, globalns and localns.
"""
prepare = False
if field.type_.__class__ == ForwardRef:
prepare = True
field.type_ = evaluate_forwardref(field.type_, globalns, localns or None)
if field.outer_type_.__class__ == ForwardRef:
prepare = True
field.outer_type_ = evaluate_forwardref(field.outer_type_, globalns, localns or None)
if prepare:
field.prepare()
if field.sub_fields:
for sub_f in field.sub_fields:
update_field_forward_refs(sub_f, globalns=globalns, localns=localns)
if field.discriminator_key is not None:
field.prepare_discriminated_union_sub_fields()
def update_model_forward_refs(
model: Type[Any],
fields: Iterable['ModelField'],
json_encoders: Dict[Union[Type[Any], str, ForwardRef], AnyCallable],
localns: 'DictStrAny',
exc_to_suppress: Tuple[Type[BaseException], ...] = (),
) -> None:
"""
Try to update model fields ForwardRefs based on model and localns.
"""
if model.__module__ in sys.modules:
globalns = sys.modules[model.__module__].__dict__.copy()
else:
globalns = {}
globalns.setdefault(model.__name__, model)
for f in fields:
try:
update_field_forward_refs(f, globalns=globalns, localns=localns)
except exc_to_suppress:
pass
for key in set(json_encoders.keys()):
if isinstance(key, str):
fr: ForwardRef = ForwardRef(key)
elif isinstance(key, ForwardRef):
fr = key
else:
continue
try:
new_key = evaluate_forwardref(fr, globalns, localns or None)
except exc_to_suppress: # pragma: no cover
continue
json_encoders[new_key] = json_encoders.pop(key)
def get_class(type_: Type[Any]) -> Union[None, bool, Type[Any]]:
"""
Tries to get the class of a Type[T] annotation. Returns True if Type is used
without brackets. Otherwise returns None.
"""
if type_ is type:
return True
if get_origin(type_) is None:
return None
args = get_args(type_)
if not args or not isinstance(args[0], type):
return True
else:
return args[0]
def get_sub_types(tp: Any) -> List[Any]:
"""
Return all the types that are allowed by type `tp`
`tp` can be a `Union` of allowed types or an `Annotated` type
"""
origin = get_origin(tp)
if origin is Annotated:
return get_sub_types(get_args(tp)[0])
elif is_union(origin):
return [x for t in get_args(tp) for x in get_sub_types(t)]
else:
return [tp]