arrayish 0.0.1

A package to allow downstream inter-compatibility for Numpy-compatible array structures

A library for downstream compatibility of Numpy-compatible arrays.

Usage

For an alternative array implementation

import numpy as np
import arrayish as ai


class CustomArray(object):
    """Your custom ``ndarray`` compatible implementation."""
    pass


def dot(a, b, out=None)
    """ Your custom implementation of ``np.dot``. """
    pass


# Between your own arrays
ai.dot.add((CustomArray, CustomArray), dot)

# With Numpy Arrays, if you'd like. Can also pass another function
ai.dot.add((np.ndarray, CustomArray), dot)
ai.dot.add((CustomArray, np.ndarray), dot)

For a downstream library willing to support alternative arrays

import arrayish as ai
import numpy as np

# Instead of this:
np.dot(a, b)

# Do this:
ai.dot(a, b)