add unit tests

Author: MaxenceGollier

test/runtests.jl

@@ -259,3 +259,4 @@ end
 end
 
 include("test_presolve.jl")
+include("test_allocations.jl")

test/test_allocations.jl

@@ -0,0 +1,47 @@
+function test_only_zeros(table)
+  for (key, vals) in table
+    if !isnan(vals)
+      @test vals == 0
+      vals != 0 && println(key)
+    end
+  end
+end
+
+@testset "allocations" begin
+  @testset "allocs QPSData" begin
+    for problem in qp_problems_Matrix
+      nlp_qps = eval(Symbol(problem * "_QPSData"))()
+      test_only_zeros(test_allocs_nlpmodels(nlp_qps))
+    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))
+    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))
+    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))
+    end
+  end
+
+  @testset "allocs quadratic approximation" begin
+    for problem in NLPModelsTest.nlp_problems
+      nlp = eval(Symbol(problem))()
+      x = nlp.meta.x0
+      nlp_qm = QuadraticModel(nlp, x)
+      test_only_zeros(test_allocs_nlpmodels(nlp_qm))
+    end
+  end
+end