nvim_config/typings/numpy/lib/index_tricks.pyi

"""
This type stub file was generated by pyright.
"""

from collections.abc import Sequence
from typing import Any, Generic, Literal, SupportsIndex, TypeVar, overload
from numpy import bool_, bytes_, complex_, dtype, float_, int_, matrix as _Matrix, ndarray, str_
from numpy._typing import ArrayLike, DTypeLike, NDArray, _FiniteNestedSequence, _NestedSequence, _SupportsDType

_T = TypeVar("_T")
_DType = TypeVar("_DType", bound=dtype[Any])
_BoolType = TypeVar("_BoolType", Literal[True], Literal[False])
_TupType = TypeVar("_TupType", bound=tuple[Any, ...])
_ArrayType = TypeVar("_ArrayType", bound=ndarray[Any, Any])
__all__: list[str]
@overload
def ix_(*args: _FiniteNestedSequence[_SupportsDType[_DType]]) -> tuple[ndarray[Any, _DType], ...]:
    ...

@overload
def ix_(*args: str | _NestedSequence[str]) -> tuple[NDArray[str_], ...]:
    ...

@overload
def ix_(*args: bytes | _NestedSequence[bytes]) -> tuple[NDArray[bytes_], ...]:
    ...

@overload
def ix_(*args: bool | _NestedSequence[bool]) -> tuple[NDArray[bool_], ...]:
    ...

@overload
def ix_(*args: int | _NestedSequence[int]) -> tuple[NDArray[int_], ...]:
    ...

@overload
def ix_(*args: float | _NestedSequence[float]) -> tuple[NDArray[float_], ...]:
    ...

@overload
def ix_(*args: complex | _NestedSequence[complex]) -> tuple[NDArray[complex_], ...]:
    ...

class nd_grid(Generic[_BoolType]):
    sparse: _BoolType
    def __init__(self, sparse: _BoolType = ...) -> None:
        ...
    
    @overload
    def __getitem__(self: nd_grid[Literal[False]], key: slice | Sequence[slice]) -> NDArray[Any]:
        ...
    
    @overload
    def __getitem__(self: nd_grid[Literal[True]], key: slice | Sequence[slice]) -> list[NDArray[Any]]:
        ...
    


class MGridClass(nd_grid[Literal[False]]):
    def __init__(self) -> None:
        ...
    


mgrid: MGridClass
class OGridClass(nd_grid[Literal[True]]):
    def __init__(self) -> None:
        ...
    


ogrid: OGridClass
class AxisConcatenator:
    axis: int
    matrix: bool
    ndmin: int
    trans1d: int
    def __init__(self, axis: int = ..., matrix: bool = ..., ndmin: int = ..., trans1d: int = ...) -> None:
        ...
    
    @staticmethod
    @overload
    def concatenate(*a: ArrayLike, axis: SupportsIndex = ..., out: None = ...) -> NDArray[Any]:
        ...
    
    @staticmethod
    @overload
    def concatenate(*a: ArrayLike, axis: SupportsIndex = ..., out: _ArrayType = ...) -> _ArrayType:
        ...
    
    @staticmethod
    def makemat(data: ArrayLike, dtype: DTypeLike = ..., copy: bool = ...) -> _Matrix[Any, Any]:
        ...
    
    def __getitem__(self, key: Any) -> Any:
        ...
    


class RClass(AxisConcatenator):
    axis: Literal[0]
    matrix: Literal[False]
    ndmin: Literal[1]
    trans1d: Literal[-1]
    def __init__(self) -> None:
        ...
    


r_: RClass
class CClass(AxisConcatenator):
    axis: Literal[-1]
    matrix: Literal[False]
    ndmin: Literal[2]
    trans1d: Literal[0]
    def __init__(self) -> None:
        ...
    


c_: CClass
class IndexExpression(Generic[_BoolType]):
    maketuple: _BoolType
    def __init__(self, maketuple: _BoolType) -> None:
        ...
    
    @overload
    def __getitem__(self, item: _TupType) -> _TupType:
        ...
    
    @overload
    def __getitem__(self: IndexExpression[Literal[True]], item: _T) -> tuple[_T]:
        ...
    
    @overload
    def __getitem__(self: IndexExpression[Literal[False]], item: _T) -> _T:
        ...
    


index_exp: IndexExpression[Literal[True]]
s_: IndexExpression[Literal[False]]
def fill_diagonal(a: ndarray[Any, Any], val: Any, wrap: bool = ...) -> None:
    ...

def diag_indices(n: int, ndim: int = ...) -> tuple[NDArray[int_], ...]:
    ...

def diag_indices_from(arr: ArrayLike) -> tuple[NDArray[int_], ...]:
    ...