Skip to main content

Pure Python implementation of DJB's Batch GCD algorithm

Project description

Batch GCD

Overview

A pure Python implementation of DJB's Batch GCD algorithm.

Installation

Download and install with pip.

Or, download from source and install with make install (standard, user) or make install_dev (editable, system).

Usage

This is a library and cannot be invoked directly.

Test with make test.

The batch_gcd module exposes a batch_gcd function which takes integers and returns a list of their GCDs at the corresponding index.

>>> # Example batch_gcd usage
>>> from batch_gcd import batch_gcd
>>> batch_gcd(1909, 2923, 291, 205, 989, 62, 451, 1943, 1079, 2419)
[1909, 1, 1, 41, 23, 1, 41, 1, 83, 41]

This calculation involves two intermediate steps: creating a product tree and creating a remainder tree. These functions are also exposed, as products and remainders. products take integers and returns a product tree, remainders takes an integer and a product tree and returns a list of remainders.

Resources

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

batch_gcd-0.0.3.tar.gz (2.8 kB view details)

Uploaded Source

Built Distribution

batch_gcd-0.0.3-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file batch_gcd-0.0.3.tar.gz.

File metadata

  • Download URL: batch_gcd-0.0.3.tar.gz
  • Upload date:
  • Size: 2.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for batch_gcd-0.0.3.tar.gz
Algorithm Hash digest
SHA256 464877da7b4d6712fee740168eafc1ba51f588f24b990b811b5fe2d7c7046735
MD5 fa1ce73b2ac750e16e8bd34ed3e26faf
BLAKE2b-256 b4fae23656ed3ca680b22e5378976587fdce6771e0977bed90a731a78ad6a324

See more details on using hashes here.

File details

Details for the file batch_gcd-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: batch_gcd-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 2.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for batch_gcd-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 5401886dc107138dac7a6406158eb3930ac6528b10d51dc7653e8cfdff1cbae0
MD5 2ecced54f252ef1916c509e8c8f5d150
BLAKE2b-256 1fc64718613f39f8a84c636c0e94257f5a7e0135ae9d77415d2b70cb46d46c13

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page