{"id":22577042,"url":"https://github.com/luk036/primal-dual-approx-py","last_synced_at":"2025-04-10T17:15:08.747Z","repository":{"id":49874629,"uuid":"325165371","full_name":"luk036/primal-dual-approx-py","owner":"luk036","description":"☯️ Primal-dual Approximation Algorithm","archived":false,"fork":false,"pushed_at":"2025-03-15T09:09:44.000Z","size":721,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-24T15:02:44.855Z","etag":null,"topics":["algorithm","python"],"latest_commit_sha":null,"homepage":"https://luk036.github.io/primal-dual-approx-py/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/luk036.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":"AUTHORS.md","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-12-29T02:24:14.000Z","updated_at":"2025-03-15T09:09:48.000Z","dependencies_parsed_at":"2022-08-29T14:20:59.525Z","dependency_job_id":"a50187a5-2b60-423d-93c5-c57960517caa","html_url":"https://github.com/luk036/primal-dual-approx-py","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luk036%2Fprimal-dual-approx-py","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luk036%2Fprimal-dual-approx-py/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luk036%2Fprimal-dual-approx-py/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luk036%2Fprimal-dual-approx-py/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/luk036","download_url":"https://codeload.github.com/luk036/primal-dual-approx-py/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248261916,"owners_count":21074225,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithm","python"],"created_at":"2024-12-08T04:11:09.030Z","updated_at":"2025-04-10T17:15:08.724Z","avatar_url":"https://github.com/luk036.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!-- These are examples of badges you might want to add to your README:\n     please update the URLs accordingly\n\n[![Built Status](https://api.cirrus-ci.com/github/\u003cUSER\u003e/primal-dual-approx-py.svg?branch=main)](https://cirrus-ci.com/github/\u003cUSER\u003e/primal-dual-approx-py)\n[![ReadTheDocs](https://readthedocs.org/projects/primal-dual-approx-py/badge/?version=latest)](https://primal-dual-approx-py.readthedocs.io/en/stable/)\n[![Coveralls](https://img.shields.io/coveralls/github/\u003cUSER\u003e/primal-dual-approx-py/main.svg)](https://coveralls.io/r/\u003cUSER\u003e/primal-dual-approx-py)\n[![PyPI-Server](https://img.shields.io/pypi/v/primal-dual-approx-py.svg)](https://pypi.org/project/primal-dual-approx-py/)\n[![Conda-Forge](https://img.shields.io/conda/vn/conda-forge/primal-dual-approx-py.svg)](https://anaconda.org/conda-forge/primal-dual-approx-py)\n[![Monthly Downloads](https://pepy.tech/badge/primal-dual-approx-py/month)](https://pepy.tech/project/primal-dual-approx-py)\n[![Twitter](https://img.shields.io/twitter/url/http/shields.io.svg?style=social\u0026label=Twitter)](https://twitter.com/primal-dual-approx-py)\n--\u003e\n\n[![Documentation Status](https://readthedocs.org/projects/primal-dual-approx-py/badge/?version=latest)](https://primal-dual-approx-py.readthedocs.io/en/latest/?badge=latest)\n[![codecov](https://codecov.io/gh/luk036/primal-dual-approx-py/branch/main/graph/badge.svg?token=2RACXYWU6K)](https://codecov.io/gh/luk036/primal-dual-approx-py)\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"./primal-dual-algorithmic-paradigm-ying-yang.svg\"/\u003e\n\u003c/p\u003e\n\n# ☯ primal-dual-approx-py\n\nApproximation algorithms based-on primal-dual thinking\n\n\n## Description\n\nA longer description of your project goes here...\n\n## Depend on\n\n- [mywheel](https://github.com/luk036/mywheel)\n- networkx\n\n\u003c!-- pyscaffold-notes --\u003e\n\n## 👉 Note\n\nThis project has been set up using PyScaffold 4.5. For details and usage\ninformation on PyScaffold see https://pyscaffold.org/.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluk036%2Fprimal-dual-approx-py","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fluk036%2Fprimal-dual-approx-py","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluk036%2Fprimal-dual-approx-py/lists"}