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152 lines
3.7 KiB
152 lines
3.7 KiB
"""
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This type stub file was generated by pyright.
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"""
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from collections.abc import Sequence
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from typing import Any, Generic, Literal, SupportsIndex, TypeVar, overload
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from numpy import bool_, bytes_, complex_, dtype, float_, int_, matrix as _Matrix, ndarray, str_
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from numpy._typing import ArrayLike, DTypeLike, NDArray, _FiniteNestedSequence, _NestedSequence, _SupportsDType
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_T = TypeVar("_T")
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_DType = TypeVar("_DType", bound=dtype[Any])
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_BoolType = TypeVar("_BoolType", Literal[True], Literal[False])
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_TupType = TypeVar("_TupType", bound=tuple[Any, ...])
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_ArrayType = TypeVar("_ArrayType", bound=ndarray[Any, Any])
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__all__: list[str]
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@overload
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def ix_(*args: _FiniteNestedSequence[_SupportsDType[_DType]]) -> tuple[ndarray[Any, _DType], ...]:
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...
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@overload
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def ix_(*args: str | _NestedSequence[str]) -> tuple[NDArray[str_], ...]:
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...
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@overload
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def ix_(*args: bytes | _NestedSequence[bytes]) -> tuple[NDArray[bytes_], ...]:
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...
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@overload
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def ix_(*args: bool | _NestedSequence[bool]) -> tuple[NDArray[bool_], ...]:
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...
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@overload
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def ix_(*args: int | _NestedSequence[int]) -> tuple[NDArray[int_], ...]:
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...
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@overload
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def ix_(*args: float | _NestedSequence[float]) -> tuple[NDArray[float_], ...]:
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...
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@overload
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def ix_(*args: complex | _NestedSequence[complex]) -> tuple[NDArray[complex_], ...]:
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...
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class nd_grid(Generic[_BoolType]):
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sparse: _BoolType
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def __init__(self, sparse: _BoolType = ...) -> None:
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...
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@overload
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def __getitem__(self: nd_grid[Literal[False]], key: slice | Sequence[slice]) -> NDArray[Any]:
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...
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@overload
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def __getitem__(self: nd_grid[Literal[True]], key: slice | Sequence[slice]) -> list[NDArray[Any]]:
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...
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class MGridClass(nd_grid[Literal[False]]):
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def __init__(self) -> None:
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...
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mgrid: MGridClass
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class OGridClass(nd_grid[Literal[True]]):
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def __init__(self) -> None:
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...
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ogrid: OGridClass
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class AxisConcatenator:
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axis: int
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matrix: bool
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ndmin: int
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trans1d: int
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def __init__(self, axis: int = ..., matrix: bool = ..., ndmin: int = ..., trans1d: int = ...) -> None:
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...
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@staticmethod
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@overload
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def concatenate(*a: ArrayLike, axis: SupportsIndex = ..., out: None = ...) -> NDArray[Any]:
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...
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@staticmethod
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@overload
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def concatenate(*a: ArrayLike, axis: SupportsIndex = ..., out: _ArrayType = ...) -> _ArrayType:
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...
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@staticmethod
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def makemat(data: ArrayLike, dtype: DTypeLike = ..., copy: bool = ...) -> _Matrix[Any, Any]:
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...
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def __getitem__(self, key: Any) -> Any:
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...
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class RClass(AxisConcatenator):
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axis: Literal[0]
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matrix: Literal[False]
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ndmin: Literal[1]
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trans1d: Literal[-1]
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def __init__(self) -> None:
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...
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r_: RClass
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class CClass(AxisConcatenator):
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axis: Literal[-1]
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matrix: Literal[False]
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ndmin: Literal[2]
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trans1d: Literal[0]
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def __init__(self) -> None:
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...
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c_: CClass
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class IndexExpression(Generic[_BoolType]):
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maketuple: _BoolType
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def __init__(self, maketuple: _BoolType) -> None:
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...
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@overload
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def __getitem__(self, item: _TupType) -> _TupType:
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...
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@overload
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def __getitem__(self: IndexExpression[Literal[True]], item: _T) -> tuple[_T]:
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...
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@overload
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def __getitem__(self: IndexExpression[Literal[False]], item: _T) -> _T:
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...
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index_exp: IndexExpression[Literal[True]]
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s_: IndexExpression[Literal[False]]
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def fill_diagonal(a: ndarray[Any, Any], val: Any, wrap: bool = ...) -> None:
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...
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def diag_indices(n: int, ndim: int = ...) -> tuple[NDArray[int_], ...]:
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...
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def diag_indices_from(arr: ArrayLike) -> tuple[NDArray[int_], ...]:
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...
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