GCC Code Coverage Report

Directory: ./
File: src/sys/classes/bv/tests/test18.c
Date: 2025-11-19 04:19:03
Exec Total Coverage
Lines: 112 118 94.9%
Functions: 1 1 100.0%
Branches: 322 550 58.5%
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 BVNormalize().\n\n";
12
13 #include <slepcbv.h>
14
15 144 int main(int argc,char **argv)
16 {
17 144 BV X,Y,Z;
18 144 Mat B;
19 144 Vec v,t;
20 144 PetscInt i,j,n=20,k=8,l=3,Istart,Iend;
21 144 PetscViewer view;
22 144 PetscBool verbose;
23 144 PetscReal norm,error;
24 144 PetscScalar alpha;
25 #if !defined(PETSC_USE_COMPLEX)
26 72 PetscScalar *eigi;
27 72 PetscRandom rand;
28 72 PetscReal normr,normi;
29 72 Vec vi;
30 #endif
31
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 144 PetscFunctionBeginUser;
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 144 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 144 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 144 PetscCall(PetscOptionsGetInt(NULL,NULL,"-k",&k,NULL));
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 144 PetscCall(PetscOptionsGetInt(NULL,NULL,"-l",&l,NULL));
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 144 PetscCall(PetscOptionsHasName(NULL,NULL,"-verbose",&verbose));
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 144 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Test BV normalization with %" PetscInt_FMT " columns of length %" PetscInt_FMT ".\n",k,n));
39
40 /* Create template vector */
41
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 144 PetscCall(VecCreate(PETSC_COMM_WORLD,&t));
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 144 PetscCall(VecSetSizes(t,PETSC_DECIDE,n));
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 144 PetscCall(VecSetFromOptions(t));
44
45 /* Create BV object X */
46
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 144 PetscCall(BVCreate(PETSC_COMM_WORLD,&X));
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 144 PetscCall(PetscObjectSetName((PetscObject)X,"X"));
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 144 PetscCall(BVSetSizesFromVec(X,t,k));
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 144 PetscCall(BVSetFromOptions(X));
50
51 /* Set up viewer */
52
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 144 PetscCall(PetscViewerASCIIGetStdout(PETSC_COMM_WORLD,&view));
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 144 if (verbose) PetscCall(PetscViewerPushFormat(view,PETSC_VIEWER_ASCII_MATLAB));
54
55 /* Fill X entries */
56
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 2304 for (j=0;j<k;j++) {
57
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 2160 PetscCall(BVGetColumn(X,j,&v));
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 2160 PetscCall(VecSet(v,0.0));
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 274320 for (i=0;i<=n/2;i++) {
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 272160 if (i+j<n) {
61 272160 alpha = (3.0*i+j-2)/(2*(i+j+1));
62
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 272160 PetscCall(VecSetValue(v,i+j,alpha,INSERT_VALUES));
63 }
64 }
65
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 2160 PetscCall(VecAssemblyBegin(v));
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 2160 PetscCall(VecAssemblyEnd(v));
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 2160 PetscCall(BVRestoreColumn(X,j,&v));
68 }
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 144 if (verbose) PetscCall(BVView(X,view));
70
71 /* Create copies on Y and Z */
72
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 144 PetscCall(BVDuplicate(X,&Y));
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 144 PetscCall(PetscObjectSetName((PetscObject)Y,"Y"));
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 144 PetscCall(BVCopy(X,Y));
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 144 PetscCall(BVDuplicate(X,&Z));
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 144 PetscCall(PetscObjectSetName((PetscObject)Z,"Z"));
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 144 PetscCall(BVCopy(X,Z));
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 144 PetscCall(BVSetActiveColumns(X,l,k));
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 144 PetscCall(BVSetActiveColumns(Y,l,k));
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 144 PetscCall(BVSetActiveColumns(Z,l,k));
81
82 /* Test BVNormalize */
83
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 144 PetscCall(BVNormalize(X,NULL));
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 144 if (verbose) PetscCall(BVView(X,view));
85
86 /* Check unit norm of columns */
87 144 error = 0.0;
88
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 1440 for (j=l;j<k;j++) {
89
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 1296 PetscCall(BVNormColumn(X,j,NORM_2,&norm));
90
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 1554 error = PetscMax(error,PetscAbsReal(norm-PetscRealConstant(1.0)));
91 }
92
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 144 if (error<100*PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Deviation from normalized vectors < 100*eps\n"));
93 ✗ else PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Deviation from normalized vectors: %g\n",(double)norm));
94
95 /* Create inner product matrix */
96
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 144 PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
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 144 PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,n,n));
98
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 144 PetscCall(MatSetFromOptions(B));
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 144 PetscCall(PetscObjectSetName((PetscObject)B,"B"));
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 144 PetscCall(MatGetOwnershipRange(B,&Istart,&Iend));
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 24144 for (i=Istart;i<Iend;i++) {
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 24000 if (i>0) PetscCall(MatSetValue(B,i,i-1,-1.0,INSERT_VALUES));
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 24000 if (i<n-1) PetscCall(MatSetValue(B,i,i+1,-1.0,INSERT_VALUES));
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 24000 PetscCall(MatSetValue(B,i,i,2.0,INSERT_VALUES));
106 }
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 144 PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
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 144 PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
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 144 if (verbose) PetscCall(MatView(B,view));
110
111 /* Test BVNormalize with B-norm */
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 144 PetscCall(BVSetMatrix(Y,B,PETSC_FALSE));
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 144 PetscCall(BVNormalize(Y,NULL));
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 144 if (verbose) PetscCall(BVView(Y,view));
115
116 /* Check unit B-norm of columns */
117 144 error = 0.0;
118
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 1296 PetscCall(BVNormColumn(Y,j,NORM_2,&norm));
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 1468 error = PetscMax(error,PetscAbsReal(norm-PetscRealConstant(1.0)));
121 }
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 144 if (error<100*PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Deviation from B-normalized vectors < 100*eps\n"));
123 ✗ else PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Deviation from B-normalized vectors: %g\n",(double)norm));
124
125 #if !defined(PETSC_USE_COMPLEX)
126 /* fill imaginary parts */
127
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 72 PetscCall(PetscCalloc1(k,&eigi));
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 72 PetscCall(PetscRandomCreate(PETSC_COMM_WORLD,&rand));
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 72 PetscCall(PetscRandomSetFromOptions(rand));
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 216 for (j=l+1;j<k-1;j+=5) {
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 144 PetscCall(PetscRandomGetValue(rand,&alpha));
132 144 eigi[j] = alpha;
133 144 eigi[j+1] = -alpha;
134 }
135
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 72 PetscCall(PetscRandomDestroy(&rand));
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 72 if (verbose) {
137 ✗ PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF,1,k,eigi,&v));
138 ✗ PetscCall(VecView(v,view));
139 ✗ PetscCall(VecDestroy(&v));
140 }
141
142 /* Test BVNormalize with complex conjugate columns */
143
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 72 PetscCall(BVNormalize(Z,eigi));
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 72 if (verbose) PetscCall(BVView(Z,view));
145
146 /* Check unit norm of (complex conjugate) columns */
147 72 error = 0.0;
148
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 576 for (j=l;j<k;j++) {
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 504 if (eigi[j]) {
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 144 PetscCall(BVGetColumn(Z,j,&v));
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 144 PetscCall(BVGetColumn(Z,j+1,&vi));
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 144 PetscCall(VecNormBegin(v,NORM_2,&normr));
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 144 PetscCall(VecNormBegin(vi,NORM_2,&normi));
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 144 PetscCall(VecNormEnd(v,NORM_2,&normr));
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 144 PetscCall(VecNormEnd(vi,NORM_2,&normi));
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 144 PetscCall(BVRestoreColumn(Z,j+1,&vi));
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 144 PetscCall(BVRestoreColumn(Z,j,&v));
158 144 norm = SlepcAbsEigenvalue(normr,normi);
159 144 j++;
160 } else {
161
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 360 PetscCall(BVGetColumn(Z,j,&v));
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 360 PetscCall(VecNorm(v,NORM_2,&norm));
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 360 PetscCall(BVRestoreColumn(Z,j,&v));
164 }
165
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 616 error = PetscMax(error,PetscAbsReal(norm-PetscRealConstant(1.0)));
166 }
167
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 72 if (error<100*PETSC_MACHINE_EPSILON) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Deviation from normalized conjugate vectors < 100*eps\n"));
168 ✗ else PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Deviation from normalized conjugate vectors: %g\n",(double)norm));
169
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 72 PetscCall(PetscFree(eigi));
170 #endif
171
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 144 PetscCall(BVDestroy(&X));
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 144 PetscCall(BVDestroy(&Y));
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 144 PetscCall(BVDestroy(&Z));
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 144 PetscCall(MatDestroy(&B));
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 144 PetscCall(VecDestroy(&t));
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 144 PetscCall(SlepcFinalize());
178 return 0;
179 }
180
181 /*TEST
182
183 testset:
184 args: -n 250 -l 6 -k 15
185 nsize: {{1 2}}
186 requires: !complex
187 output_file: output/test18_1.out
188 test:
189 suffix: 1
190 args: -bv_type {{vecs contiguous svec mat}}
191 test:
192 suffix: 1_cuda
193 args: -bv_type {{svec mat}} -vec_type cuda
194 requires: cuda
195 test:
196 suffix: 1_hip
197 args: -bv_type {{svec mat}} -vec_type hip
198 requires: hip
199
200 testset:
201 args: -n 250 -l 6 -k 15
202 nsize: {{1 2}}
203 requires: complex
204 output_file: output/test18_1_complex.out
205 test:
206 suffix: 1_complex
207 args: -bv_type {{vecs contiguous svec mat}}
208 test:
209 suffix: 1_cuda_complex
210 args: -bv_type {{svec mat}} -vec_type cuda
211 requires: cuda
212 test:
213 suffix: 1_hip_complex
214 args: -bv_type {{svec mat}} -vec_type hip
215 requires: hip
216
217 TEST*/
218