Project description

Neinsum (Named Einsum)

NumPy's Einsum, but with named subscripts.

Installation

pip install neinsum

Usage

import numpy as np
from neinsum import named_einsum

x = np.eye(3)
y = named_einsum("A_ij,B_kl")(A=x, B=x)

# this is equal to
z = np.einsum("ij,kl", x, x)

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

1.0.2

Oct 16, 2023

1.0.1

Oct 16, 2023

1.0.0

Oct 15, 2023

Download files

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

Source Distribution

neinsum-1.0.2.tar.gz (4.0 kB view hashes)

Uploaded Oct 16, 2023 Source

Built Distribution

neinsum-1.0.2-py3-none-any.whl (4.6 kB view hashes)

Uploaded Oct 16, 2023 Python 3

Hashes for neinsum-1.0.2.tar.gz

Hashes for neinsum-1.0.2.tar.gz
Algorithm	Hash digest
SHA256	`65c21c026d68b3b137e04b56738ce20cf955a6f0db291172048dd08eb6d8bf76`
MD5	`fe1ee24aa45949def6228fcde69a1dde`
BLAKE2b-256	`1e00331cac4f4b69efd230085f7bf36710e84e1a794d9d3ac077643fecfcdb18`

Hashes for neinsum-1.0.2-py3-none-any.whl

Hashes for neinsum-1.0.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`b2c90c4d505cd67ffb61a29d51af9e96dc6a7c99dbd28a192db768df61cb2142`
MD5	`e2fc961d8a4ec4b713df735096faee0a`
BLAKE2b-256	`0e16177bbd2fa4c7f8e99cb5a372168c379f3a10bc9e6d8246c677d402e9776a`