🤖 Format .jl files

Author: amontoison

test/test_allocations.jl

@@ -11,31 +11,31 @@ end
   @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])
+      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"))()
-      allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api=true, exclude=[jac_op])
+      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"))()
-      allocs = test_allocs_nlpmodels(nlp_qps; linear_api=true, exclude=[jac_op])
+      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"))()
-      allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api=true, exclude=[jac_op])
+      allocs = test_allocs_nlpmodels(nlp_qm_dense; linear_api = true, exclude = [jac_op])
       test_only_zeros(allocs)
     end
   end
@@ -45,7 +45,7 @@ end
       nlp = eval(Symbol(problem))()
       x = nlp.meta.x0
       nlp_qm = QuadraticModel(nlp, x)
-      allocs = test_allocs_nlpmodels(nlp_qm; linear_api=true, exclude=[jac_op])
+      allocs = test_allocs_nlpmodels(nlp_qm; linear_api = true, exclude = [jac_op])
       test_only_zeros(allocs)
     end
   end