Parametric NLPModelMeta

[tmigot]

Follows NLPModels.jl PR #353 with parametric meta.

Should be merged after NLPModelsModifiers.jl PR #12.

[abelsiqueira]

Thanks again.
I think that we'll need specialized constructors as well. Not sure, because it depends on how and what we test with other packages. In particular, multi-precision tests. Otherwise, we can simply say

mutable struct SomeProblem <: AbstractNLPModel{Float64, Vector{Float64}}

[amontoison]

Thanks Tangi ! I will update NLPModelsJuMP after this PR.

[tmigot]

Thanks again.
I think that we'll need specialized constructors as well. Not sure, because it depends on how and what we test with other packages. In particular, multi-precision tests. Otherwise, we can simply say

mutable struct SomeProblem <: AbstractNLPModel{Float64, Vector{Float64}}

I added specialized constructors, just because it is more general this way. In case, we add further mutli-precision tests as you mentioned.

[github-actions]

Package name	latest	stable
ADNLPModels.jl
AmplNLReader.jl
CUTEst.jl
CaNNOLeS.jl
DCI.jl
JSOSolvers.jl
LLSModels.jl
NLPModelsIpopt.jl
NLPModelsJuMP.jl
Percival.jl
QuadraticModels.jl
SolverBenchmark.jl
SolverTools.jl

[codecov]

Codecov Report

Merging #11 (6949c6c) into master (97dedb0) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master      #11   +/-   ##
=======================================
  Coverage   98.62%   98.63%           
=======================================
  Files          24       24           
  Lines        2109     2120   +11     
=======================================
+ Hits         2080     2091   +11     
  Misses         29       29           

Impacted Files	Coverage Δ
src/nlp/problems/brownden.jl	100.00% <100.00%> (ø)
src/nlp/problems/hs10.jl	100.00% <100.00%> (ø)
src/nlp/problems/hs11.jl	100.00% <100.00%> (ø)
src/nlp/problems/hs14.jl	100.00% <100.00%> (ø)
src/nlp/problems/hs5.jl	100.00% <100.00%> (ø)
src/nlp/problems/hs6.jl	100.00% <100.00%> (ø)
src/nlp/problems/lincon.jl	100.00% <100.00%> (ø)
src/nlp/problems/linsv.jl	100.00% <100.00%> (ø)
src/nlp/problems/mgh01feas.jl	100.00% <100.00%> (ø)
src/nls/problems/lls.jl	82.20% <100.00%> (+0.15%)	⬆️
... and 3 more

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[abelsiqueira]

Thanks