Python library for reading matrices from many files and generating a single numpy matrix

Project description

sangarak

Python module for collecting distributed matrices from files and creating a single matrix.

Method list:

read_matrix - Read the matrix by specifying process IDs and file names.
read_file - Read the matrix with lesser arguments by just specifying the file name.

cd into the directory and run pip install ..

cd into the root directory of the project and run python setup.py test.

This version

0.1

Sep 3, 2018

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

Uploaded Sep 3, 2018 source

Uploaded Sep 3, 2018 3 6

Uploaded Sep 3, 2018 py3

Hashes for sangarak-0.1.tar.gz
Algorithm	Hash digest
SHA256	`dedbb0edaffdd01f262b213ebd029711e7b7fd6524d31fa1df385bd93747213b`
MD5	`1eee81f9bc661f08518ef4f36d7cb051`
BLAKE2-256	`157edc05028600338f6bf12ff52bbacdd0852360f6dc13998edb4ab209c2ba8c`

Hashes for sangarak-0.1-py3.6.egg
Algorithm	Hash digest
SHA256	`1fc85fb9d92d892700a6db44e001d3e2292f38cf5d7ecc0da41ea8768f9eb43e`
MD5	`fb6cfb820196e01aae3dd3422be84646`
BLAKE2-256	`650fff1c86477be0b6cb4cf6d89d92bdb1387c4deb4bbad6e24aeab8cb9cf60d`

Hashes for sangarak-0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`8e235340803ba403bb0d3228161fb596d52811132d60c19b2cb90965306b6729`
MD5	`7f5167930efa358b3985414cf4ae3572`
BLAKE2-256	`f48bd3f55ee1afd616d95cc8211057ac6a15d9abda45158b208e2d17d3fae69a`