Skip to main content

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

Project description

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arrayish-0.0.1.tar.gz (19.3 kB view hashes)

Uploaded source

Built Distribution

arrayish-0.0.1-py2.py3-none-any.whl (2.7 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page