Fix the unit tests (#150)

* Fix the unit tests

* Test the linear API

* Use pre-release instead of nightly in CI

Author: amontoison

.github/workflows/ci.yml

@@ -22,15 +22,15 @@ jobs:
             os: macos-latest
             arch: arm64
             allow_failure: false
-          - version: 'nightly'
+          - version: 'pre'
             os: ubuntu-latest
             arch: x64
             allow_failure: true
-          - version: 'nightly'
+          - version: 'pre'
             os: macos-latest
             arch: x64
             allow_failure: true
-          - version: 'nightly'
+          - version: 'pre'
             os: windows-latest
             arch: x64
             allow_failure: true

Project.toml

@@ -20,8 +20,9 @@ QuadraticModelsQPSReaderExt = "QPSReader"
 [compat]
 LinearAlgebra = "1.10"
 LinearOperators = "2.3"
-NLPModels = "0.21.4"
+NLPModels = "0.21.5"
 NLPModelsModifiers = "0.7"
+QPSReader = "0.2.1"
 SolverCore = "0.3"
 SparseArrays = "1.10"
 SparseMatricesCOO = "0.2.3"

test/Project.toml

@@ -16,7 +16,7 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 [compat]
 ADNLPModels = "0.8"
 LinearOperators = "2"
-NLPModels = "0.21.4"
+NLPModels = "0.21.5"
 NLPModelsModifiers = "0.7"
 NLPModelsTest = "0.10"
 QPSReader = "0.2"

test/test_allocations.jl

@@ -11,28 +11,32 @@ end
   @testset "allocs QPSData" begin
     for problem in qp_problems_Matrix
       nlp_qps = eval(Symbol(problem * "_QPSData"))()
-      test_only_zeros(test_allocs_nlpmodels(nlp_qps))
+      allocs = test_allocs_nlpmodels(nlp_qps; linear_api=true, exclude=[jac_op])
+      test_only_zeros(allocs)
     end
   end
 
   @testset "allocs QP_dense" begin
     for problem in qp_problems_Matrix
       nlp_qm_dense = eval(Symbol(problem * "_QP_dense"))()
-      test_only_zeros(test_allocs_nlpmodels(nlp_qm_dense))
+      allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api=true, exclude=[jac_op])
+      test_only_zeros(allocs)
     end
   end
 
   @testset "allocs COO QPSData" begin
     for problem in qp_problems_COO
       nlp_qps = eval(Symbol(problem * "_QPSData"))()
-      test_only_zeros(test_allocs_nlpmodels(nlp_qps))
+      allocs = test_allocs_nlpmodels(nlp_qps; linear_api=true, exclude=[jac_op])
+      test_only_zeros(allocs)
     end
   end
 
   @testset "allocs COO QP" begin
     for problem in qp_problems_COO
       nlp_qm_dense = eval(Symbol(problem * "_QP"))()
-      test_only_zeros(test_allocs_nlpmodels(nlp_qm_dense))
+      allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api=true, exclude=[jac_op])
+      test_only_zeros(allocs)
     end
   end
 
@@ -41,7 +45,8 @@ end
       nlp = eval(Symbol(problem))()
       x = nlp.meta.x0
       nlp_qm = QuadraticModel(nlp, x)
-      test_only_zeros(test_allocs_nlpmodels(nlp_qm))
+      allocs = test_allocs_nlpmodels(nlp_qm; linear_api=true, exclude=[jac_op])
+      test_only_zeros(allocs)
     end
   end
 end