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Use test_zero_allocations from NLPModelsTest #154

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Merged
merged 1 commit into from
May 19, 2025
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Use test_zero_allocations from NLPModelsTest #154

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19 changes: 5 additions & 14 deletions test/test_allocations.jl
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Original file line number Diff line number Diff line change
@@ -1,42 +1,33 @@
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"))()
allocs = test_allocs_nlpmodels(nlp_qps; linear_api = true, exclude = [jac_op])
test_only_zeros(allocs)
test_zero_allocations(allocs)
end
end

@testset "allocs QP_dense" begin
for problem in qp_problems_Matrix
nlp_qm_dense = eval(Symbol(problem * "_QP_dense"))()
allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api = true, exclude = [jac_op])
test_only_zeros(allocs)
test_zero_allocations(allocs)
end
end

@testset "allocs COO QPSData" begin
for problem in qp_problems_COO
nlp_qps = eval(Symbol(problem * "_QPSData"))()
allocs = test_allocs_nlpmodels(nlp_qps; linear_api = true, exclude = [jac_op])
test_only_zeros(allocs)
test_zero_allocations(allocs)
end
end

@testset "allocs COO QP" begin
for problem in qp_problems_COO
nlp_qm_dense = eval(Symbol(problem * "_QP"))()
allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api = true, exclude = [jac_op])
test_only_zeros(allocs)
test_zero_allocations(allocs)
end
end

Expand All @@ -46,7 +37,7 @@ end
x = nlp.meta.x0
nlp_qm = QuadraticModel(nlp, x)
allocs = test_allocs_nlpmodels(nlp_qm; linear_api = true, exclude = [jac_op])
test_only_zeros(allocs)
test_zero_allocations(allocs)
end
end
end
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