GCC Code Coverage Report

Directory: ./
File: src/svd/tests/test5.c
Date: 2025-10-04 04:19:13
Exec Total Coverage
Lines: 39 39 100.0%
Functions: 1 1 100.0%
Branches: 117 176 66.5%
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 SVD view and monitor functionality.\n\n";
12
13 #include <slepcsvd.h>
14
15 38 int main(int argc,char **argv)
16 {
17 38 Mat A;
18 38 SVD svd;
19 38 PetscReal *sigma,sval;
20 38 PetscInt n=6,Istart,Iend,i,nconv;
21 38 PetscBool checkfile;
22 38 char filename[PETSC_MAX_PATH_LEN];
23 38 PetscViewer viewer;
24
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 38 PetscFunctionBeginUser;
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 38 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 38 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 38 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSVD of diagonal matrix, n=%" PetscInt_FMT "\n\n",n));
29
30 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
31 Generate the matrix
32 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
33
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 38 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 38 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n));
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 38 PetscCall(MatSetFromOptions(A));
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 38 PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
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 266 for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(A,i,i,i+1,INSERT_VALUES));
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 38 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
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 38 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
40
41 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
42 Create the SVD solver
43 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
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 38 PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));
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 38 PetscCall(PetscObjectSetName((PetscObject)svd,"svd"));
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 38 PetscCall(SVDSetOperators(svd,A,NULL));
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 38 PetscCall(SVDSetFromOptions(svd));
48
49 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
50 Compute the singular triplets and display solution
51 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
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 38 PetscCall(SVDSolve(svd));
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 38 PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL));
54
55 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
56 Check file containing the singular values
57 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
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 38 PetscCall(PetscOptionsGetString(NULL,NULL,"-checkfile",filename,sizeof(filename),&checkfile));
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 38 if (checkfile) {
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 10 PetscCall(SVDGetConverged(svd,&nconv));
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 10 PetscCall(PetscMalloc1(nconv,&sigma));
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 10 PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
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 10 PetscCall(PetscViewerBinaryRead(viewer,sigma,nconv,NULL,PETSC_REAL));
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 10 PetscCall(PetscViewerDestroy(&viewer));
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 70 for (i=0;i<nconv;i++) {
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 60 PetscCall(SVDGetSingularTriplet(svd,i,&sval,NULL,NULL));
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 60 PetscCheck(sval==sigma[i],PETSC_COMM_WORLD,PETSC_ERR_FILE_UNEXPECTED,"Singular values in the file do not match");
68 }
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 10 PetscCall(PetscFree(sigma));
70 }
71
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 38 PetscCall(SVDDestroy(&svd));
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 38 PetscCall(MatDestroy(&A));
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 38 PetscCall(SlepcFinalize());
75 return 0;
76 }
77
78 /*TEST
79
80 test:
81 suffix: 1
82 args: -svd_error_relative ::ascii_info_detail -svd_view_values -svd_monitor_conv -svd_error_absolute ::ascii_matlab -svd_monitor_all -svd_error_norm ::ascii_info_detail -svd_converged_reason -svd_view
83 filter: grep -v "tolerance" | grep -v "problem type" | sed -e "s/1.999999/2.000000/" | sed -e "s/2.000001/2.000000/" | sed -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"
84 requires: !single
85
86 test:
87 suffix: 2
88 args: -svd_nsv 4 -svd_view_values binary:myvalues.bin -checkfile myvalues.bin
89 requires: double
90
91 test:
92 suffix: 3
93 args: -svd_type trlanczos -svd_error_relative ::ascii_info_detail -svd_view_values -svd_monitor_conv -svd_error_absolute ::ascii_matlab -svd_monitor_all -svd_converged_reason -svd_view
94 filter: grep -v "tolerance" | grep -v "problem type" | sed -e "s/1.999999/2.000000/" | sed -e "s/2.000001/2.000000/" | sed -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"
95 requires: !single
96
97 test:
98 suffix: 4
99 args: -svd_monitor draw::draw_lg -svd_monitor_all draw::draw_lg -svd_view_values draw -draw_save mysingu.ppm -draw_virtual
100 requires: x !single
101
102 TEST*/
103