{"id":21437657,"url":"https://github.com/sbstndb/samurai_spack","last_synced_at":"2025-03-16T23:41:56.473Z","repository":{"id":261276333,"uuid":"883767660","full_name":"sbstndb/samurai_spack","owner":"sbstndb","description":"Spack recipe for Samurai AMR software based on the xtensor stack","archived":false,"fork":false,"pushed_at":"2025-02-21T15:58:01.000Z","size":55,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-21T16:29:20.080Z","etag":null,"topics":["samurai","spack","xtensor"],"latest_commit_sha":null,"homepage":"","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/sbstndb.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":"2024-11-05T14:38:13.000Z","updated_at":"2025-02-21T15:58:05.000Z","dependencies_parsed_at":"2024-11-05T17:39:54.698Z","dependency_job_id":"1b888aaf-d139-4bea-ad21-580a1ca751f8","html_url":"https://github.com/sbstndb/samurai_spack","commit_stats":null,"previous_names":["sbstndb/samurai_spack"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sbstndb%2Fsamurai_spack","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sbstndb%2Fsamurai_spack/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sbstndb%2Fsamurai_spack/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sbstndb%2Fsamurai_spack/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sbstndb","download_url":"https://codeload.github.com/sbstndb/samurai_spack/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243950792,"owners_count":20373664,"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":["samurai","spack","xtensor"],"created_at":"2024-11-23T00:28:10.651Z","updated_at":"2025-03-16T23:41:56.465Z","avatar_url":"https://github.com/sbstndb.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Spack Recipe for Samurai \n\nThis repository contains spack recipes for installing [`Samurai`](https://github.com/hpc-maths/samurai), a High-Performance Computation mesh library. \n\n# Prequisities\nBefore guietting started, ensure that Spack is intalled on your system. Follow the [official Spack documentation](https://spack.io/) for detailed installation instructions. \n\n\n# Installation steps\n\n1. Clone this repository\nClone the repository to a directory of your choice:\n```bash\ngit clone git@github.com:hpc-maths/spack_samurai.git\ncd spack_samurai\n```\n\n2. Add the repository to Spack\nAdd the repository to your local Spack setup : \n```bash\nspack repo add . \n```\n\n3. Explore available options\nDisplay information about the Samurai recipe and its configuration options:\n```bash\nspack info samurai\n```\n\n4. Install `Samurai`\nTo install with default options (recommanded), run:\n```bash\nspack install samurai\n```\n\nFor advanced users, you can specify build options or dependencies. For example:\nFor example: \n```bash\nspack install samurai +openmp +demos %gcc@14.2\n```\n\n# Usage\n\n5. Load Samurai\nAfter installation, load the Samurai module into your environment:\n```bash\nspack load samurai\n```\n\n6. Unload Samurai:\nTo unload Samurai module from your environment, use:\n```bash\nspack unload samurai\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsbstndb%2Fsamurai_spack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsbstndb%2Fsamurai_spack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsbstndb%2Fsamurai_spack/lists"}