JuliaApproximation / QuasiArrays.jl

A package for representing quasi-arrays
MIT License
12 stars 2 forks source link

Add mul/colsupport for MulQuasiArray, support overloading dot and sum #94

Closed dlfivefifty closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 95.00% and project coverage change: +0.47 :tada:

Comparison is base (6362a48) 62.92% compared to head (bae3456) 63.40%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #94 +/- ## ========================================== + Coverage 62.92% 63.40% +0.47% ========================================== Files 21 21 Lines 1764 1787 +23 ========================================== + Hits 1110 1133 +23 Misses 654 654 ``` | [Impacted Files](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation) | Coverage Δ | | |---|---|---| | [src/QuasiArrays.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL1F1YXNpQXJyYXlzLmps) | `71.42% <ø> (ø)` | | | [src/abstractquasiarray.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL2Fic3RyYWN0cXVhc2lhcnJheS5qbA==) | `57.86% <ø> (-0.22%)` | :arrow_down: | | [src/quasifill.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3F1YXNpZmlsbC5qbA==) | `87.45% <85.71%> (+0.65%)` | :arrow_up: | | [src/quasireducedim.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3F1YXNpcmVkdWNlZGltLmps) | `84.88% <90.00%> (+0.17%)` | :arrow_up: | | [src/indices.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL2luZGljZXMuamw=) | `53.94% <100.00%> (+0.30%)` | :arrow_up: | | [src/lazyquasiarrays.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL2xhenlxdWFzaWFycmF5cy5qbA==) | `84.55% <100.00%> (+0.25%)` | :arrow_up: | | [src/matmul.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL21hdG11bC5qbA==) | `57.33% <100.00%> (+0.99%)` | :arrow_up: | | [src/quasiadjtrans.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3F1YXNpYWRqdHJhbnMuamw=) | `50.00% <100.00%> (-1.03%)` | :arrow_down: | | [src/quasiarray.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3F1YXNpYXJyYXkuamw=) | `75.28% <100.00%> (+3.85%)` | :arrow_up: | | [src/subquasiarray.jl](https://app.codecov.io/gh/JuliaApproximation/QuasiArrays.jl/pull/94?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3N1YnF1YXNpYXJyYXkuamw=) | `65.92% <100.00%> (+0.19%)` | :arrow_up: |

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