Update tests for core routines

JuliaSmoothOptimizers · Aug 25, 2024 · 49c0f03 · 49c0f03
1 parent 410d6bc
commit 49c0f03
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Showing 2 changed files with 100 additions and 100 deletions.
diff --git a/test/coverage.jl b/test/coverage.jl
@@ -3,35 +3,35 @@ function coverage_increase(nlp::CUTEstModel{T}) where {T}
   status = Cint[0]
   n, m = nlp.meta.nvar, nlp.meta.ncon
   pname = Vector{Cchar}(undef, 10)
-  probname(T, status, pname)
+  CUTEst.probname(T, status, pname)
   vname = Matrix{Cchar}(undef, 10, n)
-  varnames(T, status, Cint[n], vname)
+  CUTEst.varnames(T, status, Cint[n], vname)
   if m == 0
-    unames(T, status, Cint[n], pname, vname)
+    CUTEst.unames(T, status, Cint[n], pname, vname)
     calls = Vector{T}(undef, 4)
     time = Vector{T}(undef, 4)
-    ureport(T, status, calls, time)
+    CUTEst.ureport(T, status, calls, time)
   else
     cname = Matrix{Cchar}(undef, 10, m)
-    connames(T, status, Cint[m], cname)
-    cnames(T, status, Cint[n], Cint[m], pname, vname, cname)
+    CUTEst.connames(T, status, Cint[m], cname)
+    CUTEst.cnames(T, status, Cint[n], Cint[m], pname, vname, cname)
     calls = Vector{T}(undef, 7)
     time = Vector{T}(undef, 4)
-    creport(T, status, calls, time)
+    CUTEst.creport(T, status, calls, time)
     nvo, nvc, ec, lc = Cint[0], Cint[0], Cint[0], Cint[0]
-    cstats(T, status, nvo, nvc, ec, lc)
+    CUTEst.cstats(T, status, nvo, nvc, ec, lc)
 
     lchp = Cint[0]
-    cdimchp(T, status, lchp)
+    CUTEst.cdimchp(T, status, lchp)
     chp_ind, chp_ptr = Vector{Cint}(undef, lchp[1]), Vector{Cint}(undef, m + 1)
-    cchprodsp(T, status, Cint[m], lchp, chp_ind, chp_ptr)
+    CUTEst.cchprodsp(T, status, Cint[m], lchp, chp_ind, chp_ptr)
     lj, nnzj = Cint[0], Cint[0]
-    cdimsj(T, status, lj)
+    CUTEst.cdimsj(T, status, lj)
     j_var, j_fun = Vector{Cint}(undef, lj[1]), Vector{Cint}(undef, lj[1])
-    csgrp(T, status, Cint[n], nnzj, lj, j_var, j_fun)
+    CUTEst.csgrp(T, status, Cint[n], nnzj, lj, j_var, j_fun)
     lh, nnzh = Cint[0], Cint[0]
-    cdimsh(T, status, lh)
+    CUTEst.cdimsh(T, status, lh)
     h_row, h_col = Vector{Cint}(undef, lh[1]), Vector{Cint}(undef, lh[1])
-    csgrshp(T, status, Cint[n], nnzj, lj, j_var, j_fun, nnzh, lh, h_row, h_col)
+    CUTEst.csgrshp(T, status, Cint[n], nnzj, lj, j_var, j_fun, nnzh, lh, h_row, h_col)
   end
 end