{"id":16040846,"url":"https://github.com/sejas/muia-simulation-methods-random-generators","last_synced_at":"2026-06-17T03:31:54.918Z","repository":{"id":105952479,"uuid":"212366653","full_name":"sejas/muia-simulation-methods-random-generators","owner":"sejas","description":"Study of random generators ","archived":false,"fork":false,"pushed_at":"2019-12-20T12:33:29.000Z","size":5628,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-13T03:32:29.070Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sejas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-10-02T14:46:02.000Z","updated_at":"2023-03-10T07:26:28.000Z","dependencies_parsed_at":null,"dependency_job_id":"bad1b019-1a82-48ad-a291-bd4b01e81fa2","html_url":"https://github.com/sejas/muia-simulation-methods-random-generators","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sejas/muia-simulation-methods-random-generators","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sejas%2Fmuia-simulation-methods-random-generators","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sejas%2Fmuia-simulation-methods-random-generators/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sejas%2Fmuia-simulation-methods-random-generators/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sejas%2Fmuia-simulation-methods-random-generators/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sejas","download_url":"https://codeload.github.com/sejas/muia-simulation-methods-random-generators/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sejas%2Fmuia-simulation-methods-random-generators/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34433085,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-17T02:00:05.408Z","response_time":127,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-10-08T23:21:47.222Z","updated_at":"2026-06-17T03:31:54.899Z","avatar_url":"https://github.com/sejas.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RANDOM GENERATORS AND CONTRASTS [MUIA - SIMULATION METHODS]\n\nImplementation of congruential random generator. IMSL.\nUsing Schrage method to avoid overflow.\n\n\u003e Park, Stephen \u0026 Miller, Keith. (1988). Random Number Generators: Good Ones Are Hard to Find. Commun. ACM. 31. 1192-1201. 10.1145/63039.63042.\n\n**Authors**\n\n- Antonio Sejas\n- Danielle Pellegrino\n- Sergio Cavero\n\n## ======= CREATE A CONGRUENTIAL RANDOM GENERATOR IN PYTHON =======\n\n\u003e You can find our custom development in python in the folder: `/generator-in-python`\n\n## Execute\n\n```\npython main.py\n```\n\nIt will create `random-numbers-sample.txt` with the random numbers list\n\n## Test algorithm\n\n```\npython imsl_test.py\n```\n\n## ======= STUDY OF RANDOM GENERATOR CONTRASTS WITH TESTU01 =======\n\n\u003e You can find our constrast study in the folder: `/contrasts-with-testu01`\n\n## Requirements\n\nYou need to have installed the TestU01 library to be able to compile the code.\nhttp://simul.iro.umontreal.ca/testu01/tu01.html\n\nIf you are on Unix or MacOS system, you can try to directly execute the `./muia` application.\n\n## Compilation\n\nAfter installing the code\n\n```\n➜ clang muia.c  -lmylib -lprobdist -ltestu01 -o muia\n```\n\n## How to execute\n\n```bin\n➜ ./muia\n```\n\n---\n\nMUIA 2019/2020\nAuthors: Antonio Sejas, Danielle Pellegrino, Sergio Cavero\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsejas%2Fmuia-simulation-methods-random-generators","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsejas%2Fmuia-simulation-methods-random-generators","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsejas%2Fmuia-simulation-methods-random-generators/lists"}