Skip to main content

A simple version of the Sieve of Eratosthenes. Developed during "Python for Scientific Computing" course at CINECA

Project description

colanderpy

A simple version of the Sieve of Eratosthenes.

Developed during "Python for Scientific Computing" course at CINECA

Install from source

Clone repository

git clone https://gitlab.hpc.cineca.it/cineca-hpyc/colanderpy.git
cd colanderpy

Standard installation

Install in editable mode for development:

pip install -e .

Or install with development dependencies (pytest):

pip install -e ".[dev]"

Install directly from Git repository

pip install git+https://gitlab.hpc.cineca.it/cineca-hpyc/colanderpy.git

Install from Python Package Index (PyPI)

Once deployed to PyPI:

pip install colanderpy

Install from GitLab Package Registry

Once deployed to GitLab's private registry:

pip install colanderpy --index-url https://gitlab.hpc.cineca.it/api/v4/projects/471/packages/pypi/simple

Usage

Prime number generator

$ sieve -n 42
2 3 5 7 11 13 17 19 23 29 31 37 41
$ sieve -h
usage: sieve [-h] [-n LIMIT]

The Sieve of Eratosthenes.

Returns the list of prime numbers up to a maximum integer.

optional arguments:
  -h, --help            show this help message and exit
  -n LIMIT, --limit LIMIT
                        maximum integer up to which the prime numbers are searched. (default 100)

Prime-counting function

$ prime-counting -n 42
13
$ prime-counting -h
usage: prime-counting [-h] [-n LIMIT]

Prime-counting function

Counts the number of prime numbers less than or equal to an integer number.

optional arguments:
  -h, --help            show this help message and exit
  -n LIMIT, --limit LIMIT
                        maximum integer up to which the prime numbers are counted. (default 100)

Run tests

To run the test suite, use pytest:

pytest test/

With coverage:

pytest test/ --cov=colanderpy

CI/CD

This project uses GitLab CI/CD for continuous integration and deployment. The pipeline is defined in the .gitlab-ci.yml file located in the root directory of the repository.

For more information on how CI/CD is implemented at CINECA, please refer to the documentation: https://docs.hpc.cineca.it/general/access.html#continuous-integration-ci-cd-at-cineca

Authors

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

colanderpy-0.7.2.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

colanderpy-0.7.2-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file colanderpy-0.7.2.tar.gz.

File metadata

  • Download URL: colanderpy-0.7.2.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for colanderpy-0.7.2.tar.gz
Algorithm Hash digest
SHA256 fd0f7f8b17d8a60c6180888e6e3672e1df52e87f0daf5e43415d853c5d7b1b58
MD5 16fc1dbf4eaf303510fc21aecf2160e2
BLAKE2b-256 de6ef999d74d02946a544f9d7d7b02e3f8fe1bb1d5e92df31772d6dfb2f5123a

See more details on using hashes here.

File details

Details for the file colanderpy-0.7.2-py3-none-any.whl.

File metadata

  • Download URL: colanderpy-0.7.2-py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for colanderpy-0.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8e60747817f95727c706066f35a17d1ea68494e75d732e5c538872110ec12c90
MD5 796b4abe7f606d404a7a0929a4f37627
BLAKE2b-256 965b4ad70e993f386f2c7c45110d8ad941cc1fc5f07b59771a9af1f955a6651d

See more details on using hashes here.

Supported by

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