codecov[bot]
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2 years ago Codecov Report
Base: 99.86% // Head: 99.86% // Decreases project coverage by -0.00% :warning:
Coverage data is based on head (
43e00ee) compared to base (f740508). Patch coverage: 100.00% of modified lines in pull request are covered.
Additional details and impacted files
```diff @@ Coverage Diff @@ ## main #219 +/- ## ========================================== - Coverage 99.86% 99.86% -0.01% ========================================== Files 751 751 Lines 6730 6722 -8 ========================================== - Hits 6721 6713 -8 Misses 9 9 ``` | [Impacted Files](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | Coverage Δ | | |---|---|---| | [src/ADNLPProblems/BOX2.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvQk9YMi5qbA==) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/BOX3.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvQk9YMy5qbA==) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/NZF1.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvTlpGMS5qbA==) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/chainwoo.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY2hhaW53b28uamw=) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/clplatea.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY2xwbGF0ZWEuamw=) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/clplateb.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY2xwbGF0ZWIuamw=) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/clplatec.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY2xwbGF0ZWMuamw=) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/curly.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY3VybHkuamw=) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/curly10.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY3VybHkxMC5qbA==) | `100.00% <ø> (ø)` | | | [src/ADNLPProblems/curly20.jl](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL0FETkxQUHJvYmxlbXMvY3VybHkyMC5qbA==) | `100.00% <ø> (ø)` | | | ... and [71 more](https://codecov.io/gh/JuliaSmoothOptimizers/OptimizationProblems.jl/pull/219/diff?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | | 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=JuliaSmoothOptimizers). 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=JuliaSmoothOptimizers):umbrella: View full report at Codecov.
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The first batch of modification to improve the genericity of the functions.
The ultimate goal is to have
f(x)return something ofeltype(x)and not necessarilyT. In this PR, I am handling most of the rationals,sin,logandexpwill come next.All these models have a JuMP implementation, so the unit tests verify that the implementation has not been changed.