JuliaMath / Interpolations.jl

Fast, continuous interpolation of discrete datasets in Julia
http://juliamath.github.io/Interpolations.jl/
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remove unnecessary function parametrization #523

Closed koehlerson closed 1 year ago

codecov[bot] commented 1 year ago

Codecov Report

Base: 87.10% // Head: 87.10% // No change to project coverage :thumbsup:

Coverage data is based on head (7c904ac) compared to base (d38ae2e). Patch coverage: 0.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #523 +/- ## ======================================= Coverage 87.10% 87.10% ======================================= Files 28 28 Lines 1846 1846 ======================================= Hits 1608 1608 Misses 238 238 ``` | [Impacted Files](https://codecov.io/gh/JuliaMath/Interpolations.jl/pull/523?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaMath) | Coverage Δ | | |---|---|---| | [src/deprecations.jl](https://codecov.io/gh/JuliaMath/Interpolations.jl/pull/523/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaMath#diff-c3JjL2RlcHJlY2F0aW9ucy5qbA==) | `2.56% <0.00%> (ø)` | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaMath). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaMath)

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mkitti commented 1 year ago

Thanks!