{"id":20500564,"url":"https://github.com/juliaapproximation/quasiarrays.jl","last_synced_at":"2025-03-05T19:34:03.074Z","repository":{"id":35851728,"uuid":"199458339","full_name":"JuliaApproximation/QuasiArrays.jl","owner":"JuliaApproximation","description":"A package for representing quasi-arrays","archived":false,"fork":false,"pushed_at":"2025-01-28T17:01:10.000Z","size":349,"stargazers_count":11,"open_issues_count":15,"forks_count":2,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-02-12T11:53:05.958Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Julia","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/JuliaApproximation.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"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":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-07-29T13:28:16.000Z","updated_at":"2025-01-28T16:39:48.000Z","dependencies_parsed_at":"2023-12-15T12:29:01.594Z","dependency_job_id":"2fb8691e-e7e2-4a4e-962e-a47a24ded244","html_url":"https://github.com/JuliaApproximation/QuasiArrays.jl","commit_stats":{"total_commits":122,"total_committers":3,"mean_commits":"40.666666666666664","dds":0.06557377049180324,"last_synced_commit":"f2ebe9f34411e39aeab7c9b4263a5fe1f8fed1e7"},"previous_names":[],"tags_count":61,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaApproximation%2FQuasiArrays.jl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaApproximation%2FQuasiArrays.jl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaApproximation%2FQuasiArrays.jl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuliaApproximation%2FQuasiArrays.jl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JuliaApproximation","download_url":"https://codeload.github.com/JuliaApproximation/QuasiArrays.jl/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242092312,"owners_count":20070499,"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":[],"created_at":"2024-11-15T18:21:34.922Z","updated_at":"2025-03-05T19:34:03.052Z","avatar_url":"https://github.com/JuliaApproximation.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# QuasiArrays.jl\nA package for representing quasi-arrays\n\n[![Build Status](https://github.com/JuliaApproximation/QuasiArrays.jl/workflows/CI/badge.svg)](https://github.com/JuliaApproximation/QuasiArrays.jl/actions)\n[![codecov](https://codecov.io/gh/JuliaApproximation/QuasiArrays.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaApproximation/QuasiArrays.jl)\n\n\nA _quasi-array_ is an array with non-classical indexing, including possibly\ncontinuous indexing. This packages implements quasi-arrays. For example, we\ncan create a quasi-array where the first index is float valued:\n```julia\nusing QuasiArrays\nA = QuasiArray(rand(5,4,3), (range(0,1; length=5), Base.OneTo(4), [2,3,6]))\nA[0.25,2,6] # equivalent to parent(A)[2,2,3]\n```\nAnalogues of many the base types are supported. For example, we can create a quasi-diagonal matrix\n```julia\nv = QuasiVector(rand(5), 0:0.5:2) # diagonal\nD = QuasiDiagonal(v)\nD[0.5,0.5] # equivalent to parent(D)[0.5] == parent(parent(D))[2]\n```\nWe can take views of quasi-arrays:\n```julia\nview(A, 0:0.25:0.5, 2:3, [2,6])[2,1,2] # equivalent to A[0.25,2,6]\n```\nAnd we can also broadcast, which preserves axes:\n```julia\nexp.(v)[0.5] # equivalent to exp(v[0.5])\n```\n\nFinally, by combining with IntervalSets.jl we support continuous indexing:\n```julia\nusing IntervalSets\nx = Inclusion(0.0..1.0) # Inclusion is identity, e.g. x[0.2] == 0.2\nD = QuasiDiagonal(x)\nD[0.1,0.2] # 0.0\nD[0.1,0.1] # 0.1\n```\nFull functionality for continuous quasi-arrays is in [ContinuumArrays.jl](https://github.com/JuliaApproximation/ContinuumArrays.jl).\n\n\n## Relation to other Julia packages\n\nThere are other packages that allow non-standard indexing, such as\n[NamedArrays](https://github.com/davidavdav/NamedArrays.jl) and [AxisArrays](https://github.com/JuliaArrays/AxisArrays.jl).\nQuasiArrays.jl focusses on linear algebra aspects, that is, the axes of a quasi-array\nencode the inner product. This forms the basis of [ContinuumArrays.jl](https://github.com/JuliaApproximation/ContinuumArrays.jl)\nwhich is a fresh approach to finite element methods and spectral methods, where bases\nare represented as quasi-matrices and discretizations arise from linear algebra\noperations on quasi-matrices.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliaapproximation%2Fquasiarrays.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjuliaapproximation%2Fquasiarrays.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliaapproximation%2Fquasiarrays.jl/lists"}