GCC Code Coverage Report

Directory: ./
File: src/sys/classes/ds/tests/test21.c
Date: 2025-12-10 04:20:18
Exec Total Coverage
Lines: 91 95 95.8%
Functions: 1 1 100.0%
Branches: 256 416 61.5%
Line Branch Exec Source
1 /*
2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3 SLEPc - Scalable Library for Eigenvalue Problem Computations
4 Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
5
6 This file is part of SLEPc.
7 SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9 */
10
11 static char help[] = "Test DSGSVD.\n\n";
12
13 #include <slepcds.h>
14
15 120 int main(int argc,char **argv)
16 {
17 120 DS ds;
18 120 SlepcSC sc;
19 120 Mat X;
20 120 Vec x0;
21 120 PetscReal sigma,rnorm,cond;
22 120 PetscScalar *A,*B,*w;
23 120 PetscInt i,j,k,n=15,m=10,p=10,m1,p1,ld;
24 120 PetscViewer viewer;
25 120 PetscBool verbose;
26
27
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 120 PetscFunctionBeginUser;
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 120 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 120 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 120 PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL));
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 120 PetscCall(PetscOptionsGetInt(NULL,NULL,"-p",&p,NULL));
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 120 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Solve a Dense System of type GSVD - dimension (%" PetscInt_FMT "+%" PetscInt_FMT ")x%" PetscInt_FMT ".\n",n,p,m));
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 120 PetscCall(PetscOptionsHasName(NULL,NULL,"-verbose",&verbose));
34
35 /* Create DS object */
36
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 120 PetscCall(DSCreate(PETSC_COMM_WORLD,&ds));
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 120 PetscCall(DSSetType(ds,DSGSVD));
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 120 PetscCall(DSSetFromOptions(ds));
39 120 ld = PetscMax(PetscMax(p,m),n)+2; /* test leading dimension larger than n */
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 120 PetscCall(DSAllocate(ds,ld));
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 120 PetscCall(DSSetDimensions(ds,n,0,0));
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 120 PetscCall(DSGSVDSetDimensions(ds,m,p));
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 120 PetscCall(DSGSVDGetDimensions(ds,&m1,&p1));
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 120 PetscCheck(m1==m && p1==p,PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Inconsistent dimension values");
45
46 /* Set up viewer */
47
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 120 PetscCall(PetscViewerASCIIGetStdout(PETSC_COMM_WORLD,&viewer));
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 120 PetscCall(PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO_DETAIL));
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 120 PetscCall(DSView(ds,viewer));
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 120 PetscCall(PetscViewerPopFormat(viewer));
51
52 120 k = PetscMin(n,m);
53 /* Fill A with a rectangular Toeplitz matrix */
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 120 PetscCall(DSGetArray(ds,DS_MAT_A,&A));
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 1320 for (i=0;i<k;i++) A[i+i*ld]=1.0;
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 360 for (j=1;j<3;j++) {
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 3480 for (i=0;i<n-j;i++) {
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 3240 if ((i+j)<m) A[i+(i+j)*ld]=(PetscScalar)(j+1);
59 }
60 }
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 840 for (j=1;j<n/2;j++) {
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 9000 for (i=0;i<n-j;i++) {
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 8280 if ((i+j)<n && i<m) A[(i+j)+i*ld]=-1.0;
64 }
65 }
66
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 120 PetscCall(DSRestoreArray(ds,DS_MAT_A,&A));
67
68 120 k = PetscMin(p,m);
69 /* Fill B with a shifted bidiagonal matrix */
70
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 120 PetscCall(DSGetArray(ds,DS_MAT_B,&B));
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 1320 for (i=m-k;i<m;i++) {
72 1200 B[i-m+k+i*ld]=2.0-1.0/(PetscScalar)(i+1);
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 1200 if (i) B[i-1-m+k+i*ld]=1.0;
74 }
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 120 PetscCall(DSRestoreArray(ds,DS_MAT_B,&B));
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 120 PetscCall(DSSetState(ds,DS_STATE_RAW));
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 120 if (verbose) {
79 ✗ PetscCall(PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_MATLAB));
80 ✗ PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Initial - - - - - - - - -\n"));
81 }
82
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 120 PetscCall(DSView(ds,viewer));
83
84 /* Condition number */
85
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 120 PetscCall(DSCond(ds,&cond));
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 120 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Condition number = %.3f\n",(double)cond));
87
88 /* Solve */
89
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 120 PetscCall(PetscMalloc1(m,&w));
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 120 PetscCall(DSGetSlepcSC(ds,&sc));
91 120 sc->comparison = SlepcCompareLargestReal;
92 120 sc->comparisonctx = NULL;
93 120 sc->map = NULL;
94 120 sc->mapobj = NULL;
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 120 PetscCall(DSSolve(ds,w,NULL));
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 120 PetscCall(DSSort(ds,w,NULL,NULL,NULL,NULL));
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 120 PetscCall(DSSynchronize(ds,w,NULL));
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 120 if (verbose) {
99 ✗ PetscCall(PetscPrintf(PETSC_COMM_WORLD,"After solve - - - - - - - - -\n"));
100 ✗ PetscCall(DSView(ds,viewer));
101 }
102 /* Print singular values */
103
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 120 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Computed singular values =\n"));
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 120 PetscCall(DSGetDimensions(ds,NULL,NULL,NULL,&k));
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106 1200 sigma = PetscRealPart(w[i]);
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 1200 PetscCall(PetscViewerASCIIPrintf(viewer," %g\n",(double)sigma));
108 }
109
110 /* Singular vectors */
111
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 120 PetscCall(DSVectors(ds,DS_MAT_X,NULL,NULL)); /* all singular vectors */
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 120 PetscCall(DSGetMat(ds,DS_MAT_X,&X));
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 120 PetscCall(MatCreateVecs(X,NULL,&x0));
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 120 PetscCall(MatGetColumnVector(X,x0,0));
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 120 PetscCall(VecNorm(x0,NORM_2,&rnorm));
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 120 PetscCall(DSRestoreMat(ds,DS_MAT_X,&X));
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 120 PetscCall(VecDestroy(&x0));
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 120 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Norm of 1st X vector = %.3f\n",(double)rnorm));
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 120 PetscCall(DSGetMat(ds,DS_MAT_U,&X));
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 120 PetscCall(MatCreateVecs(X,NULL,&x0));
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 120 PetscCall(MatGetColumnVector(X,x0,0));
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 120 PetscCall(VecNorm(x0,NORM_2,&rnorm));
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 120 PetscCall(DSRestoreMat(ds,DS_MAT_U,&X));
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 120 PetscCall(VecDestroy(&x0));
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 120 if (PetscAbs(rnorm-1.0)>10*PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Warning: the 1st U vector has norm %g\n",(double)rnorm));
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 120 PetscCall(DSGetMat(ds,DS_MAT_V,&X));
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 120 PetscCall(MatCreateVecs(X,NULL,&x0));
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 120 PetscCall(MatGetColumnVector(X,x0,0));
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 120 PetscCall(VecNorm(x0,NORM_2,&rnorm));
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 120 PetscCall(DSRestoreMat(ds,DS_MAT_V,&X));
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 120 PetscCall(VecDestroy(&x0));
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 120 if (PetscAbs(rnorm-1.0)>10*PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Warning: the 1st V vector has norm %g\n",(double)rnorm));
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 120 PetscCall(PetscFree(w));
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 120 PetscCall(DSDestroy(&ds));
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 120 PetscCall(SlepcFinalize());
139 return 0;
140 }
141
142 /*TEST
143
144 testset:
145 output_file: output/test21_1.out
146 requires: !single
147 nsize: {{1 2 3}}
148 filter: grep -v "parallel operation mode" | grep -v " MPI process"
149 test:
150 suffix: 1
151 args: -ds_parallel redundant
152 test:
153 suffix: 2
154 args: -ds_parallel synchronized
155
156 TEST*/
157