JuliaApproximation / MultivariateOrthogonalPolynomials.jl

Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles
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CompatHelper: bump compat for QuasiArrays to 0.10, (keep existing compat) #152

Closed github-actions[bot] closed 1 year ago

github-actions[bot] commented 1 year ago

This pull request changes the compat entry for the QuasiArrays package from 0.9 to 0.9, 0.10. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.

codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.51 :tada:

Comparison is base (02b1216) 96.21% compared to head (7f19ec0) 96.72%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #152 +/- ## ========================================== + Coverage 96.21% 96.72% +0.51% ========================================== Files 6 6 Lines 846 856 +10 ========================================== + Hits 814 828 +14 + Misses 32 28 -4 ``` | [Impacted Files](https://app.codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/pull/152?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation) | Coverage Δ | | |---|---|---| | [src/MultivariateOrthogonalPolynomials.jl](https://app.codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/pull/152?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL011bHRpdmFyaWF0ZU9ydGhvZ29uYWxQb2x5bm9taWFscy5qbA==) | `100.00% <ø> (ø)` | | | [src/disk.jl](https://app.codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/pull/152?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL2Rpc2suamw=) | `98.24% <100.00%> (+0.59%)` | :arrow_up: | | [src/rect.jl](https://app.codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/pull/152?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3JlY3Quamw=) | `95.23% <100.00%> (+0.41%)` | :arrow_up: | | [src/rectdisk.jl](https://app.codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/pull/152?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3JlY3RkaXNrLmps) | `91.66% <100.00%> (+2.64%)` | :arrow_up: | | [src/triangle.jl](https://app.codecov.io/gh/JuliaApproximation/MultivariateOrthogonalPolynomials.jl/pull/152?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaApproximation#diff-c3JjL3RyaWFuZ2xlLmps) | `96.55% <100.00%> (+0.28%)` | :arrow_up: |

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