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from collections.abc import Sequence
from typing import (
    Any,
    TypeVar,
    Generic,
    overload,
    Literal,
    SupportsIndex,
)

from numpy import (
    # Circumvent a naming conflict with `AxisConcatenator.matrix`
    matrix as _Matrix,
    ndenumerate as ndenumerate,
    ndindex as ndindex,
    ndarray,
    dtype,
    integer,
    str_,
    bytes_,
    bool_,
    int_,
    float_,
    complex_,
    intp,
    _OrderCF,
    _ModeKind,
)
from numpy._typing import (
    # Arrays
    ArrayLike,
    _NestedSequence,
    _FiniteNestedSequence,
    NDArray,
    _ArrayLikeInt,

    # DTypes
    DTypeLike,
    _SupportsDType,

    # Shapes
    _ShapeLike,
)

from numpy.core.multiarray import (
    unravel_index as unravel_index,
    ravel_multi_index as ravel_multi_index,
)

_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(  # type: ignore[misc]
        *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]: ...

    # TODO: Sort out this `__getitem__` method
    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: ...  # type: ignore[misc]
    @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_], ...]: ...

# NOTE: see `numpy/__init__.pyi` for `ndenumerate` and `ndindex`

Filemanager

Name Type Size Permission Actions
__pycache__ Folder 0755
tests Folder 0755
__init__.py File 2.7 KB 0644
__init__.pyi File 5.46 KB 0644
_datasource.py File 22.1 KB 0644
_iotools.py File 30.14 KB 0644
_version.py File 4.74 KB 0644
_version.pyi File 633 B 0644
arraypad.py File 31.06 KB 0644
arraypad.pyi File 1.69 KB 0644
arraysetops.py File 32.87 KB 0644
arraysetops.pyi File 8.14 KB 0644
arrayterator.py File 6.9 KB 0644
arrayterator.pyi File 1.5 KB 0644
format.py File 33.95 KB 0644
format.pyi File 748 B 0644
function_base.py File 184.67 KB 0644
function_base.pyi File 16.2 KB 0644
histograms.py File 36.81 KB 0644
histograms.pyi File 995 B 0644
index_tricks.py File 30.61 KB 0644
index_tricks.pyi File 4.15 KB 0644
mixins.py File 6.91 KB 0644
mixins.pyi File 3.04 KB 0644
nanfunctions.py File 64.23 KB 0644
nanfunctions.pyi File 606 B 0644
npyio.py File 95.04 KB 0644
npyio.pyi File 9.5 KB 0644
polynomial.py File 43.1 KB 0644
polynomial.pyi File 6.79 KB 0644
recfunctions.py File 58.03 KB 0644
scimath.py File 14.68 KB 0644
scimath.pyi File 2.82 KB 0644
setup.py File 405 B 0644
shape_base.py File 38.03 KB 0644
shape_base.pyi File 5.06 KB 0644
stride_tricks.py File 17.49 KB 0644
stride_tricks.pyi File 1.71 KB 0644
twodim_base.py File 32.17 KB 0644
twodim_base.pyi File 5.24 KB 0644
type_check.py File 19.49 KB 0644
type_check.pyi File 5.44 KB 0644
ufunclike.py File 6.18 KB 0644
ufunclike.pyi File 1.26 KB 0644
user_array.py File 7.54 KB 0644
utils.py File 36.92 KB 0644
utils.pyi File 2.3 KB 0644