GCC Code Coverage Report

Directory: ./
File: src/sys/classes/ds/tests/test2.c
Date: 2025-11-19 04:19:03
Exec Total Coverage
Lines: 70 76 92.1%
Functions: 1 1 100.0%
Branches: 177 308 57.5%
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 DSHEP.\n\n";
12
13 #include <slepcds.h>
14
15 60 int main(int argc,char **argv)
16 {
17 60 DS ds;
18 60 SlepcSC sc;
19 60 PetscScalar *A,*X,*Q,*eig,d;
20 60 PetscReal rnorm,aux;
21 60 PetscInt i,j,n=10,ld;
22 60 PetscViewer viewer;
23 60 PetscBool verbose,extrarow;
24
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 60 PetscFunctionBeginUser;
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 60 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 60 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Solve a Dense System of type HEP - dimension %" PetscInt_FMT ".\n",n));
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 60 PetscCall(PetscOptionsHasName(NULL,NULL,"-verbose",&verbose));
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 60 PetscCall(PetscOptionsHasName(NULL,NULL,"-extrarow",&extrarow));
31
32 /* Create DS object */
33
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 60 PetscCall(DSCreate(PETSC_COMM_WORLD,&ds));
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 60 PetscCall(DSSetType(ds,DSHEP));
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 60 PetscCall(DSSetFromOptions(ds));
36 60 ld = n+2; /* test leading dimension larger than n */
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 60 PetscCall(DSAllocate(ds,ld));
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 60 PetscCall(DSSetDimensions(ds,n,0,0));
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 60 PetscCall(DSSetExtraRow(ds,extrarow));
40
41 /* Set up viewer */
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 60 PetscCall(PetscViewerASCIIGetStdout(PETSC_COMM_WORLD,&viewer));
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 60 PetscCall(PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO_DETAIL));
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 60 PetscCall(DSView(ds,viewer));
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 60 PetscCall(PetscViewerPopFormat(viewer));
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 60 if (verbose) PetscCall(PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_MATLAB));
47
48 /* Fill with a symmetric Toeplitz matrix */
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 60 PetscCall(DSGetArray(ds,DS_MAT_A,&A));
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 780 for (i=0;i<n;i++) A[i+i*ld]=2.0;
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 180 for (j=1;j<3;j++) {
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 1380 for (i=0;i<n-j;i++) { A[i+(i+j)*ld]=1.0; A[(i+j)+i*ld]=1.0; }
53 }
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 60 if (extrarow) { A[n+(n-2)*ld]=1.0; A[n+(n-1)*ld]=1.0; }
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 60 PetscCall(DSRestoreArray(ds,DS_MAT_A,&A));
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 60 PetscCall(DSSetState(ds,DS_STATE_RAW));
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 60 if (verbose) {
58 ✗ PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Initial - - - - - - - - -\n"));
59 ✗ PetscCall(DSView(ds,viewer));
60 }
61
62 /* Solve */
63
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 60 PetscCall(PetscMalloc1(n,&eig));
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 60 PetscCall(DSGetSlepcSC(ds,&sc));
65 60 sc->comparison = SlepcCompareLargestMagnitude;
66 60 sc->comparisonctx = NULL;
67 60 sc->map = NULL;
68 60 sc->mapobj = NULL;
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 60 PetscCall(DSSolve(ds,eig,NULL));
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 60 PetscCall(DSSort(ds,eig,NULL,NULL,NULL,NULL));
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 60 if (extrarow) PetscCall(DSUpdateExtraRow(ds));
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 60 if (verbose) {
73 ✗ PetscCall(PetscPrintf(PETSC_COMM_WORLD,"After solve - - - - - - - - -\n"));
74 ✗ PetscCall(DSView(ds,viewer));
75 }
76
77 /* Print eigenvalues */
78
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Computed eigenvalues =\n"));
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 780 for (i=0;i<n;i++) PetscCall(PetscViewerASCIIPrintf(viewer," %.5f\n",(double)PetscRealPart(eig[i])));
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 60 if (extrarow) {
82 /* Check that extra row is correct */
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 30 PetscCall(DSGetArray(ds,DS_MAT_A,&A));
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 30 PetscCall(DSGetArray(ds,DS_MAT_Q,&Q));
85 d = 0.0;
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 390 for (i=0;i<n;i++) d += A[n+i*ld]-Q[n-2+i*ld]-Q[n-1+i*ld];
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 30 if (PetscAbsScalar(d)>10*PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Warning: there is a mismatch in the extra row of %g\n",(double)PetscAbsScalar(d)));
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 30 PetscCall(DSRestoreArray(ds,DS_MAT_A,&A));
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 30 PetscCall(DSRestoreArray(ds,DS_MAT_Q,&Q));
90 }
91
92 /* Eigenvectors */
93 60 j = 2;
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 60 PetscCall(DSVectors(ds,DS_MAT_X,&j,&rnorm)); /* third eigenvector */
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Value of rnorm for 3rd vector = %.3f\n",(double)rnorm));
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 60 PetscCall(DSVectors(ds,DS_MAT_X,NULL,NULL)); /* all eigenvectors */
97 60 j = 0;
98 60 rnorm = 0.0;
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 60 PetscCall(DSGetArray(ds,DS_MAT_X,&X));
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 780 for (i=0;i<n;i++) {
101 720 aux = PetscAbsScalar(X[i+j*ld]);
102 720 rnorm += aux*aux;
103 }
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 60 PetscCall(DSRestoreArray(ds,DS_MAT_X,&X));
105 60 rnorm = PetscSqrtReal(rnorm);
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Norm of 1st vector = %.3f\n",(double)rnorm));
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 60 if (verbose) {
108 ✗ PetscCall(PetscPrintf(PETSC_COMM_WORLD,"After vectors - - - - - - - - -\n"));
109 ✗ PetscCall(DSView(ds,viewer));
110 }
111
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 60 PetscCall(PetscFree(eig));
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 60 PetscCall(DSDestroy(&ds));
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 60 PetscCall(SlepcFinalize());
115 return 0;
116 }
117
118 /*TEST
119
120 testset:
121 args: -n 12 -ds_method {{0 1 2}}
122 filter: grep -v "solving the problem" | sed -e "s/extrarow//"
123 output_file: output/test2_1.out
124 requires: !single
125 test:
126 suffix: 1
127 test:
128 suffix: 2
129 args: -extrarow
130
131 TEST*/
132