"""Type stubs for NumPy."""

from typing import Any, Self

# Basic numpy types
dtype = Any
float64 = Any
float32 = Any
int64 = Any
int32 = Any
bool_ = Any

class ndarray:
    """NumPy array type stub."""
    def __init__(self, data: Any) -> None: ...
    @property
    def shape(self) -> tuple[int, ...]: ...
    @property
    def dtype(self) -> dtype: ...
    @property
    def size(self) -> int: ...
    def reshape(self, *args: Any) -> Self: ...
    def astype(self, dtype: Any) -> Self: ...
    def __getitem__(self, key: Any) -> Any: ...
    def __setitem__(self, key: Any, value: Any) -> None: ...
    def mean(self, axis: int | None = None) -> Any: ...
    def sum(self, axis: int | None = None) -> Any: ...
    def max(self, axis: int | None = None) -> Any: ...
    def min(self, axis: int | None = None) -> Any: ...

def array(data: Any, dtype: dtype | None = None) -> ndarray: ...
def zeros(shape: int | tuple[int, ...], dtype: dtype | None = None) -> ndarray: ...
def ones(shape: int | tuple[int, ...], dtype: dtype | None = None) -> ndarray: ...
def empty(shape: int | tuple[int, ...], dtype: dtype | None = None) -> ndarray: ...
def arange(
    start: Any,
    stop: Any | None = None,
    step: Any | None = None,
    dtype: dtype | None = None,
) -> ndarray: ...
def concatenate(arrays: list[ndarray], axis: int | None = None) -> ndarray: ...
def stack(arrays: list[ndarray], axis: int = 0) -> ndarray: ...
def split(ary: ndarray, indices_or_sections: Any, axis: int = 0) -> list[ndarray]: ...
def reshape(a: ndarray, newshape: int | tuple[int, ...]) -> ndarray: ...
def transpose(a: ndarray, axes: tuple[int, ...] | None = None) -> ndarray: ...
def random() -> Any: ...
def sqrt(x: Any) -> Any: ...
def exp(x: Any) -> Any: ...
def log(x: Any) -> Any: ...
def sin(x: Any) -> Any: ...
def cos(x: Any) -> Any: ...
def maximum(x1: Any, x2: Any) -> Any: ...
def minimum(x1: Any, x2: Any) -> Any: ...
def clip(a: Any, a_min: Any, a_max: Any) -> Any: ...