probly.representation.array_like.NumpyArrayLikeImplementation¶

class probly.representation.array_like.NumpyArrayLikeImplementation(*args, **kwargs)[source]¶

Bases: ArrayLike, NDArrayOperatorsMixin, ABC, Generic

ABC implementation for array-like objects that behave like NumPy arrays.

property T: Self¶: The transposed version of the underlying array.

astype(dtype: DTypeLike, order: Order = 'K', casting: Literal['no', 'equiv', 'safe', 'same_kind', 'unsafe'] = 'unsafe', subok: bool = True, copy: bool = True) → Self[source]¶: Copy of the array, cast to a specified type.

copy(order: Order = 'C') → Self[source]¶: Return a copy of the array.

property device: Any¶: Device of the array.

abstract property dtype: dtype¶: Data type of the array.

abstract property flags: ArrayFlagsLike¶: The flags of the array.

property mT: Self¶: The transposed version of the underlying array.

property ndim: int¶: Number of dimensions.

property shape: tuple[int, ...]¶: Shape of the array.

property size: int¶: Number of elements in the array.

to_device(device: Any, /, *, stream: Any = None) → Self[source]¶: Move the array to a device.

transpose(*axes: int | None) → Self[source]¶

Return a transposed version of the ArraySample.

This method implicitly also provides full axis tracking support for - np.moveaxis - np.rollaxis Those functions call out to transpose methods for custom array types.