Filename: ///lib/python3///dist-packages/pyrsistent////__init__.pyi

# flake8: noqa: E704 # from https://gist.github.com/WuTheFWasThat/091a17d4b5cab597dfd5d4c2d96faf09 # Stubs for pyrsistent (Python 3.6) from typing import Any from typing import AnyStr from typing import Callable from typing import Iterable from typing import Iterator from typing import List from typing import Optional from typing import Mapping from typing import MutableMapping from typing import Sequence from typing import Set from typing import Union from typing import Tuple from typing import Type from typing import TypeVar from typing import overload # see commit 08519aa for explanation of the re-export from pyrsistent.typing import CheckedKeyTypeError as CheckedKeyTypeError from pyrsistent.typing import CheckedPMap as CheckedPMap from pyrsistent.typing import CheckedPSet as CheckedPSet from pyrsistent.typing import CheckedPVector as CheckedPVector from pyrsistent.typing import CheckedType as CheckedType from pyrsistent.typing import CheckedValueTypeError as CheckedValueTypeError from pyrsistent.typing import InvariantException as InvariantException from pyrsistent.typing import PClass as PClass from pyrsistent.typing import PBag as PBag from pyrsistent.typing import PDeque as PDeque from pyrsistent.typing import PList as PList from pyrsistent.typing import PMap as PMap from pyrsistent.typing import PMapEvolver as PMapEvolver from pyrsistent.typing import PSet as PSet from pyrsistent.typing import PSetEvolver as PSetEvolver from pyrsistent.typing import PTypeError as PTypeError from pyrsistent.typing import PVector as PVector from pyrsistent.typing import PVectorEvolver as PVectorEvolver T = TypeVar('T') KT = TypeVar('KT') VT = TypeVar('VT') def pmap(initial: Union[Mapping[KT, VT], Iterable[Tuple[KT, VT]]] = {}, pre_size: int = 0) -> PMap[KT, VT]: ... def m(**kwargs: VT) -> PMap[str, VT]: ... def pvector(iterable: Iterable[T] = ...) -> PVector[T]: ... def v(*iterable: T) -> PVector[T]: ... def pset(iterable: Iterable[T] = (), pre_size: int = 8) -> PSet[T]: ... def s(*iterable: T) -> PSet[T]: ... # see class_test.py for use cases Invariant = Tuple[bool, Optional[Union[str, Callable[[], str]]]] @overload def field( type: Union[Type[T], Sequence[Type[T]]] = ..., invariant: Callable[[Any], Union[Invariant, Iterable[Invariant]]] = lambda _: (True, None), initial: Any = object(), mandatory: bool = False, factory: Callable[[Any], T] = lambda x: x, serializer: Callable[[Any, T], Any] = lambda _, value: value, ) -> T: ... # The actual return value (_PField) is irrelevant after a PRecord has been instantiated, # see https://github.com/tobgu/pyrsistent/blob/master/pyrsistent/_precord.py#L10 @overload def field( type: Any = ..., invariant: Callable[[Any], Union[Invariant, Iterable[Invariant]]] = lambda _: (True, None), initial: Any = object(), mandatory: bool = False, factory: Callable[[Any], Any] = lambda x: x, serializer: Callable[[Any, Any], Any] = lambda _, value: value, ) -> Any: ... # Use precise types for the simplest use cases, but fall back to Any for # everything else. See record_test.py for the wide range of possible types for # item_type @overload def pset_field( item_type: Type[T], optional: bool = False, initial: Iterable[T] = ..., ) -> PSet[T]: ... @overload def pset_field( item_type: Any, optional: bool = False, initial: Any = (), ) -> PSet[Any]: ... @overload def pmap_field( key_type: Type[KT], value_type: Type[VT], optional: bool = False, invariant: Callable[[Any], Tuple[bool, Optional[str]]] = lambda _: (True, None), ) -> PMap[KT, VT]: ... @overload def pmap_field( key_type: Any, value_type: Any, optional: bool = False, invariant: Callable[[Any], Tuple[bool, Optional[str]]] = lambda _: (True, None), ) -> PMap[Any, Any]: ... @overload def pvector_field( item_type: Type[T], optional: bool = False, initial: Iterable[T] = ..., ) -> PVector[T]: ... @overload def pvector_field( item_type: Any, optional: bool = False, initial: Any = (), ) -> PVector[Any]: ... def pbag(elements: Iterable[T]) -> PBag[T]: ... def b(*elements: T) -> PBag[T]: ... def plist(iterable: Iterable[T] = (), reverse: bool = False) -> PList[T]: ... def l(*elements: T) -> PList[T]: ... def pdeque(iterable: Optional[Iterable[T]] = None, maxlen: Optional[int] = None) -> PDeque[T]: ... def dq(*iterable: T) -> PDeque[T]: ... @overload def optional(type: T) -> Tuple[T, Type[None]]: ... @overload def optional(*typs: Any) -> Tuple[Any, ...]: ... T_PRecord = TypeVar('T_PRecord', bound='PRecord') class PRecord(PMap[AnyStr, Any]): _precord_fields: Mapping _precord_initial_values: Mapping def __hash__(self) -> int: ... def __init__(self, **kwargs: Any) -> None: ... def __iter__(self) -> Iterator[Any]: ... def __len__(self) -> int: ... @classmethod def create( cls: Type[T_PRecord], kwargs: Mapping, _factory_fields: Optional[Iterable] = None, ignore_extra: bool = False, ) -> T_PRecord: ... # This is OK because T_PRecord is a concrete type def discard(self: T_PRecord, key: KT) -> T_PRecord: ... def remove(self: T_PRecord, key: KT) -> T_PRecord: ... def set(self: T_PRecord, key: KT, val: VT) -> T_PRecord: ... def serialize(self, format: Optional[Any] = ...) -> MutableMapping: ... # From pyrsistent documentation: # This set function differs slightly from that in the PMap # class. First of all it accepts key-value pairs. Second it accepts multiple key-value # pairs to perform one, atomic, update of multiple fields. @overload def set(self, key: KT, val: VT) -> Any: ... @overload def set(self, **kwargs: VT) -> Any: ... def immutable( members: Union[str, Iterable[str]] = '', name: str = 'Immutable', verbose: bool = False, ) -> Tuple: ... # actually a namedtuple # ignore mypy warning "Overloaded function signatures 1 and 5 overlap with # incompatible return types" @overload def freeze(o: Mapping[KT, VT]) -> PMap[KT, VT]: ... # type: ignore @overload def freeze(o: List[T]) -> PVector[T]: ... # type: ignore @overload def freeze(o: Tuple[T, ...]) -> Tuple[T, ...]: ... @overload def freeze(o: Set[T]) -> PSet[T]: ... # type: ignore @overload def freeze(o: T) -> T: ... @overload def thaw(o: PMap[KT, VT]) -> MutableMapping[KT, VT]: ... # type: ignore @overload def thaw(o: PVector[T]) -> List[T]: ... # type: ignore @overload def thaw(o: Tuple[T, ...]) -> Tuple[T, ...]: ... # collections.abc.MutableSet is kind of garbage: # https://stackoverflow.com/questions/24977898/why-does-collections-mutableset-not-bestow-an-update-method @overload def thaw(o: PSet[T]) -> Set[T]: ... # type: ignore @overload def thaw(o: T) -> T: ... def mutant(fn: Callable) -> Callable: ... def inc(x: int) -> int: ... @overload def discard(evolver: PMapEvolver[KT, VT], key: KT) -> None: ... @overload def discard(evolver: PVectorEvolver[T], key: int) -> None: ... @overload def discard(evolver: PSetEvolver[T], key: T) -> None: ... def rex(expr: str) -> Callable[[Any], bool]: ... def ny(_: Any) -> bool: ... def get_in(keys: Iterable, coll: Mapping, default: Optional[Any] = None, no_default: bool = False) -> Any: ...

./Ninja\.