The `array_split.split` Module¶

Defines array splitting functions and classes.

Classes and Functions¶

`shape_factors`(n[, dim])	Returns a `numpy.ndarray` of factors `f` such that `(len(f) == dim) and (numpy.product(f) == n)`.
`calculate_num_slices_per_axis`(...[, ...])	Returns a `numpy.ndarray` (`return_array` say) where non-positive elements of
`calculate_tile_shape_for_max_bytes`(...[, ...])	Returns a tile shape `tile_shape` such that `numpy.product(tile_shape)*numpy.sum(array_itemsize) <= max_tile_bytes`.
`ShapeSplitter`(array_shape[, ...])	Implements array shape splitting.
`shape_split`(array_shape, args, *kwargs)	Splits specified `array_shape` in tiles, returns array of `slice` tuples.
`array_split`(ary[, indices_or_sections, ...])	Splits the specified array `ary` into sub-arrays, returns list of `numpy.ndarray`.

array_split.split.ARRAY_BOUNDS = <property object>¶: Indicates that tiles are always within the array bounds, resulting in tiles which have truncated halos. See The halo parameter examples.

array_split.split.NO_BOUNDS = <property object>¶: Indicates that tiles may have halos which extend beyond the array bounds. See The halo parameter examples.