Arrayish
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)
