GCC Code Coverage Report

Directory:	./
File:	src/eps/tests/test8.c
Date:	2025-12-10 04:20:18

	Exec	Total	Coverage
Lines:	66	66	100.0%
Functions:	4	4	100.0%
Branches:	137	222	61.7%

  
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      /*
    
         - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
         SLEPc - Scalable Library for Eigenvalue Problem Computations
    
         Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
    
         This file is part of SLEPc.
    
         SLEPc is distributed under a 2-clause BSD license (see LICENSE).
    
         - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
      */
    
      static char help[] = "Solves the same eigenproblem as in example ex2, but using a shell matrix.\n\n"
    
        "The problem is a standard symmetric eigenproblem corresponding to the 2-D Laplacian operator.\n\n"
    
        "The command line options are:\n"
    
        "  -n <n>, where <n> = number of grid subdivisions in both x and y dimensions.\n\n";
    
      #include <slepceps.h>
    
      #include <petscblaslapack.h>
    
      /*
    
         User-defined routines
    
      */
    
      PetscErrorCode MatMult_Laplacian2D(Mat A,Vec x,Vec y);
    
      PetscErrorCode MatGetDiagonal_Laplacian2D(Mat A,Vec diag);
    
      169
      int main(int argc,char **argv)
    
      {
    
      169
        Mat            A;               /* operator matrix */
    
      169
        EPS            eps;             /* eigenproblem solver context */
    
      169
        PetscReal      tol=1000*PETSC_MACHINE_EPSILON;
    
      169
        PetscMPIInt    size;
    
      169
        PetscInt       N,n=10,nev;
    
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      169
        PetscFunctionBeginUser;
    
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      169
        PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
    
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      169
        PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
    
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      169
        PetscCheck(size==1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only");
    
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      169
        PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
    
      169
        N = n*n;
    
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      169
        PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem (matrix-free version), N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,n));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
           Compute the operator matrix that defines the eigensystem, Ax=kx
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
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      169
        PetscCall(MatCreateShell(PETSC_COMM_WORLD,N,N,N,N,&n,&A));
    
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      169
        PetscCall(MatShellSetOperation(A,MATOP_MULT,(PetscErrorCodeFn*)MatMult_Laplacian2D));
    
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      169
        PetscCall(MatShellSetOperation(A,MATOP_MULT_TRANSPOSE,(PetscErrorCodeFn*)MatMult_Laplacian2D));
    
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      169
        PetscCall(MatShellSetOperation(A,MATOP_GET_DIAGONAL,(PetscErrorCodeFn*)MatGetDiagonal_Laplacian2D));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                      Create the eigensolver and set various options
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
        /*
    
           Create eigensolver context
    
        */
    
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      169
        PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
    
        /*
    
           Set operators. In this case, it is a standard eigenvalue problem
    
        */
    
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      169
        PetscCall(EPSSetOperators(eps,A,NULL));
    
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      169
        PetscCall(EPSSetProblemType(eps,EPS_HEP));
    
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      169
        PetscCall(EPSSetTolerances(eps,tol,PETSC_CURRENT));
    
        /*
    
           Set solver parameters at runtime
    
        */
    
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      169
        PetscCall(EPSSetFromOptions(eps));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                            Solve the eigensystem
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
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      169
        PetscCall(EPSSolve(eps));
    
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      169
        PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
    
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      169
        PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                          Display solution and clean up
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
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      169
        PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
    
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      169
        PetscCall(EPSDestroy(&eps));
    
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      169
        PetscCall(MatDestroy(&A));
    
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      169
        PetscCall(SlepcFinalize());
    
        return 0;
    
      }
    
      /*
    
          Compute the matrix vector multiplication y<---T*x where T is a nx by nx
    
          tridiagonal matrix with DD on the diagonal, DL on the subdiagonal, and
    
          DU on the superdiagonal.
    
       */
    
      9106310
      static void tv(int nx,const PetscScalar *x,PetscScalar *y)
    
      {
    
      9106310
        PetscScalar dd,dl,du;
    
      9106310
        int         j;
    
      9106310
        dd  = 4.0;
    
      9106310
        dl  = -1.0;
    
      9106310
        du  = -1.0;
    
      9106310
        y[0] =  dd*x[0] + du*x[1];
    
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      150498190
        for (j=1;j<nx-1;j++)
    
      141391880
          y[j] = dl*x[j-1] + dd*x[j] + du*x[j+1];
    
      9106310
        y[nx-1] = dl*x[nx-2] + dd*x[nx-1];
    
      9106310
      }
    
      /*
    
          Matrix-vector product subroutine for the 2D Laplacian.
    
          The matrix used is the 2 dimensional discrete Laplacian on unit square with
    
          zero Dirichlet boundary condition.
    
          Computes y <-- A*x, where A is the block tridiagonal matrix
    
                       | T -I          |
    
                       |-I  T -I       |
    
                   A = |   -I  T       |
    
                       |        ...  -I|
    
                       |           -I T|
    
          The subroutine TV is called to compute y<--T*x.
    
       */
    
      567924
      PetscErrorCode MatMult_Laplacian2D(Mat A,Vec x,Vec y)
    
      {
    
      567924
        void              *ctx;
    
      567924
        int               nx,lo,i,j;
    
      567924
        const PetscScalar *px;
    
      567924
        PetscScalar       *py;
    
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      567924
        PetscFunctionBeginUser;
    
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      567924
        PetscCall(MatShellGetContext(A,&ctx));
    
      567924
        nx = *(int*)ctx;
    
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      567924
        PetscCall(VecGetArrayRead(x,&px));
    
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      567924
        PetscCall(VecGetArray(y,&py));
    
      567924
        tv(nx,&px[0],&py[0]);
    
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      10242158
        for (i=0;i<nx;i++) py[i] -= px[nx+i];
    
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      8538386
        for (j=2;j<nx;j++) {
    
      7970462
          lo = (j-1)*nx;
    
      7970462
          tv(nx,&px[lo],&py[lo]);
    
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      157332804
          for (i=0;i<nx;i++) py[lo+i] -= px[lo-nx+i] + px[lo+nx+i];
    
        }
    
      567924
        lo = (nx-1)*nx;
    
      567924
        tv(nx,&px[lo],&py[lo]);
    
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        for (i=0;i<nx;i++) py[lo+i] -= px[lo-nx+i];
    
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      567924
        PetscCall(VecRestoreArrayRead(x,&px));
    
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      567924
        PetscCall(VecRestoreArray(y,&py));
    
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      121648
        PetscFunctionReturn(PETSC_SUCCESS);
    
      }
    
      10
      PetscErrorCode MatGetDiagonal_Laplacian2D(Mat A,Vec diag)
    
      {
    
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      10
        PetscFunctionBeginUser;
    
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      10
        PetscCall(VecSet(diag,4.0));
    
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      2
        PetscFunctionReturn(PETSC_SUCCESS);
    
      }
    
      /*TEST
    
         testset:
    
            args: -n 20 -eps_nev 4 -eps_ncv 11 -eps_max_it 40000
    
            requires: !single
    
            output_file: output/test8_1.out
    
            test:
    
               suffix: 1
    
               args: -eps_type {{power subspace arnoldi}}
    
            test:
    
               suffix: 1_lanczos
    
               args: -eps_type lanczos -eps_lanczos_reorthog local
    
            test:
    
               suffix: 1_lapack
    
               args: -eps_type lapack
    
               timeoutfactor: 2
    
            test:
    
               suffix: 1_elemental
    
               args: -eps_type elemental
    
               requires: elemental
    
            test:
    
               suffix: 1_krylovschur_vecs
    
               args: -bv_type vecs -bv_orthog_refine always -eps_ncv 10 -vec_mdot_use_gemv 0
    
            test:
    
               suffix: 1_jd
    
               args: -eps_type jd -eps_jd_blocksize 3
    
               requires: !__float128
    
            test:
    
               suffix: 1_gd
    
               args: -eps_type gd -eps_gd_blocksize 3 -eps_tol 1e-8
    
            test:
    
               suffix: 1_gd2
    
               args: -eps_type gd -eps_gd_double_expansion
    
            test:
    
               suffix: 1_primme
    
               args: -eps_type primme -eps_conv_abs -eps_largest_magnitude
    
               requires: primme
    
         testset:
    
            args: -eps_nev 4 -eps_smallest_real -eps_max_it 600
    
            output_file: output/test8_2.out
    
            test:
    
               suffix: 2
    
               args: -eps_type {{rqcg lobpcg}}
    
            test:
    
               suffix: 2_lanczos
    
               args: -eps_type lanczos -eps_lanczos_reorthog local
    
            test:
    
               suffix: 2_arpack
    
               args: -eps_type arpack -eps_ncv 6
    
               requires: arpack !single
    
            test:
    
               suffix: 2_primme
    
               args: -eps_type primme -eps_conv_abs -eps_primme_method lobpcg_orthobasisw -eps_ncv 24
    
               requires: primme
    
         testset:
    
            args: -eps_nev 12 -eps_mpd 9 -eps_smallest_real -eps_max_it 1000
    
            output_file: output/test8_3.out
    
            test:
    
               suffix: 3_rqcg
    
               args: -eps_type rqcg
    
            test:
    
               suffix: 3_lanczos
    
               args: -eps_type lanczos -eps_lanczos_reorthog local
    
            test:
    
               suffix: 3_lobpcg
    
               args: -eps_type lobpcg -eps_lobpcg_blocksize 3 -eps_lobpcg_locking 0 -st_ksp_type preonly -st_pc_type jacobi -eps_lobpcg_checkprecond
    
               requires: !__float128
    
            test:
    
               suffix: 3_lobpcg_quad
    
               args: -eps_type lobpcg -eps_lobpcg_blocksize 3 -eps_lobpcg_locking 0 -st_ksp_type preonly -st_pc_type jacobi -eps_tol 1e-25
    
               requires: __float128
    
      TEST*/

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[] = "Solves the same eigenproblem as in example ex2, but using a shell matrix.\n\n"
12			"The problem is a standard symmetric eigenproblem corresponding to the 2-D Laplacian operator.\n\n"
13			"The command line options are:\n"
14			" -n <n>, where <n> = number of grid subdivisions in both x and y dimensions.\n\n";
15
16			#include <slepceps.h>
17			#include <petscblaslapack.h>
18
19			/*
20			User-defined routines
21			*/
22			PetscErrorCode MatMult_Laplacian2D(Mat A,Vec x,Vec y);
23			PetscErrorCode MatGetDiagonal_Laplacian2D(Mat A,Vec diag);
24
25		169	int main(int argc,char **argv)
26			{
27		169	Mat A; /* operator matrix */
28		169	EPS eps; /* eigenproblem solver context */
29		169	PetscReal tol=1000*PETSC_MACHINE_EPSILON;
30		169	PetscMPIInt size;
31		169	PetscInt N,n=10,nev;
32
33	1/2 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken.	169	PetscFunctionBeginUser;
34	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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36	1/4 ✗ Branch 0 not taken. ✓ Branch 1 taken 10 times. ✗ Branch 2 not taken. ✗ Branch 3 not taken.	169	PetscCheck(size==1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only");
37
38	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
39		169	N = n*n;
40	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem (matrix-free version), N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,n));
41
42			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
43			Compute the operator matrix that defines the eigensystem, Ax=kx
44			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
45
46	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(MatCreateShell(PETSC_COMM_WORLD,N,N,N,N,&n,&A));
47	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(MatShellSetOperation(A,MATOP_MULT,(PetscErrorCodeFn*)MatMult_Laplacian2D));
48	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(MatShellSetOperation(A,MATOP_MULT_TRANSPOSE,(PetscErrorCodeFn*)MatMult_Laplacian2D));
49	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(MatShellSetOperation(A,MATOP_GET_DIAGONAL,(PetscErrorCodeFn*)MatGetDiagonal_Laplacian2D));
50
51			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
52			Create the eigensolver and set various options
53			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
54
55			/*
56			Create eigensolver context
57			*/
58	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
59
60			/*
61			Set operators. In this case, it is a standard eigenvalue problem
62			*/
63	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSSetOperators(eps,A,NULL));
64	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSSetProblemType(eps,EPS_HEP));
65	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSSetTolerances(eps,tol,PETSC_CURRENT));
66
67			/*
68			Set solver parameters at runtime
69			*/
70	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSSetFromOptions(eps));
71
72			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
73			Solve the eigensystem
74			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
75
76	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSSolve(eps));
77	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
78	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
79
80			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
81			Display solution and clean up
82			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
83
84	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
85	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(EPSDestroy(&eps));
86	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	169	PetscCall(MatDestroy(&A));
87	3/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 2 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✗ Branch 5 not taken.	169	PetscCall(SlepcFinalize());
88			return 0;
89			}
90
91			/*
92			Compute the matrix vector multiplication y<---T*x where T is a nx by nx
93			tridiagonal matrix with DD on the diagonal, DL on the subdiagonal, and
94			DU on the superdiagonal.
95			*/
96		9106310	static void tv(int nx,const PetscScalar x,PetscScalar y)
97			{
98		9106310	PetscScalar dd,dl,du;
99		9106310	int j;
100
101		9106310	dd = 4.0;
102		9106310	dl = -1.0;
103		9106310	du = -1.0;
104
105		9106310	y[0] = ddx[0] + dux[1];
106	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	150498190	for (j=1;j<nx-1;j++)
107		141391880	y[j] = dlx[j-1] + ddx[j] + du*x[j+1];
108		9106310	y[nx-1] = dlx[nx-2] + ddx[nx-1];
109		9106310	}
110
111			/*
112			Matrix-vector product subroutine for the 2D Laplacian.
113
114			The matrix used is the 2 dimensional discrete Laplacian on unit square with
115			zero Dirichlet boundary condition.
116
117			Computes y <-- A*x, where A is the block tridiagonal matrix
118
119			\| T -I \|
120			\|-I T -I \|
121			A = \| -I T \|
122			\| ... -I\|
123			\| -I T\|
124
125			The subroutine TV is called to compute y<--T*x.
126			*/
127		567924	PetscErrorCode MatMult_Laplacian2D(Mat A,Vec x,Vec y)
128			{
129		567924	void *ctx;
130		567924	int nx,lo,i,j;
131		567924	const PetscScalar *px;
132		567924	PetscScalar *py;
133
134	1/2 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken.	567924	PetscFunctionBeginUser;
135	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	567924	PetscCall(MatShellGetContext(A,&ctx));
136		567924	nx = (int)ctx;
137	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	567924	PetscCall(VecGetArrayRead(x,&px));
138	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	567924	PetscCall(VecGetArray(y,&py));
139
140		567924	tv(nx,&px[0],&py[0]);
141	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	10242158	for (i=0;i<nx;i++) py[i] -= px[nx+i];
142
143	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	8538386	for (j=2;j<nx;j++) {
144		7970462	lo = (j-1)*nx;
145		7970462	tv(nx,&px[lo],&py[lo]);
146	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	157332804	for (i=0;i<nx;i++) py[lo+i] -= px[lo-nx+i] + px[lo+nx+i];
147			}
148
149		567924	lo = (nx-1)*nx;
150		567924	tv(nx,&px[lo],&py[lo]);
151	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	10242158	for (i=0;i<nx;i++) py[lo+i] -= px[lo-nx+i];
152
153	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	567924	PetscCall(VecRestoreArrayRead(x,&px));
154	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	567924	PetscCall(VecRestoreArray(y,&py));
155	5/12 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken. ✗ Branch 2 not taken. ✓ Branch 3 taken 2 times. ✓ Branch 4 taken 2 times. ✗ Branch 5 not taken. ✓ Branch 6 taken 2 times. ✗ Branch 7 not taken. ✗ Branch 8 not taken. ✓ Branch 9 taken 2 times. ✗ Branch 10 not taken. ✗ Branch 11 not taken.	121648	PetscFunctionReturn(PETSC_SUCCESS);
156			}
157
158		10	PetscErrorCode MatGetDiagonal_Laplacian2D(Mat A,Vec diag)
159			{
160	1/2 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken.	10	PetscFunctionBeginUser;
161	4/6 ✓ Branch 0 taken 2 times. ✓ Branch 1 taken 8 times. ✓ Branch 2 taken 2 times. ✗ Branch 3 not taken. ✗ Branch 4 not taken. ✓ Branch 5 taken 2 times.	10	PetscCall(VecSet(diag,4.0));
162	5/12 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken. ✗ Branch 2 not taken. ✓ Branch 3 taken 2 times. ✓ Branch 4 taken 2 times. ✗ Branch 5 not taken. ✓ Branch 6 taken 2 times. ✗ Branch 7 not taken. ✗ Branch 8 not taken. ✓ Branch 9 taken 2 times. ✗ Branch 10 not taken. ✗ Branch 11 not taken.	2	PetscFunctionReturn(PETSC_SUCCESS);
163			}
164
165			/*TEST
166
167			testset:
168			args: -n 20 -eps_nev 4 -eps_ncv 11 -eps_max_it 40000
169			requires: !single
170			output_file: output/test8_1.out
171			test:
172			suffix: 1
173			args: -eps_type {{power subspace arnoldi}}
174			test:
175			suffix: 1_lanczos
176			args: -eps_type lanczos -eps_lanczos_reorthog local
177			test:
178			suffix: 1_lapack
179			args: -eps_type lapack
180			timeoutfactor: 2
181			test:
182			suffix: 1_elemental
183			args: -eps_type elemental
184			requires: elemental
185			test:
186			suffix: 1_krylovschur_vecs
187			args: -bv_type vecs -bv_orthog_refine always -eps_ncv 10 -vec_mdot_use_gemv 0
188			test:
189			suffix: 1_jd
190			args: -eps_type jd -eps_jd_blocksize 3
191			requires: !__float128
192			test:
193			suffix: 1_gd
194			args: -eps_type gd -eps_gd_blocksize 3 -eps_tol 1e-8
195			test:
196			suffix: 1_gd2
197			args: -eps_type gd -eps_gd_double_expansion
198			test:
199			suffix: 1_primme
200			args: -eps_type primme -eps_conv_abs -eps_largest_magnitude
201			requires: primme
202
203			testset:
204			args: -eps_nev 4 -eps_smallest_real -eps_max_it 600
205			output_file: output/test8_2.out
206			test:
207			suffix: 2
208			args: -eps_type {{rqcg lobpcg}}
209			test:
210			suffix: 2_lanczos
211			args: -eps_type lanczos -eps_lanczos_reorthog local
212			test:
213			suffix: 2_arpack
214			args: -eps_type arpack -eps_ncv 6
215			requires: arpack !single
216			test:
217			suffix: 2_primme
218			args: -eps_type primme -eps_conv_abs -eps_primme_method lobpcg_orthobasisw -eps_ncv 24
219			requires: primme
220
221			testset:
222			args: -eps_nev 12 -eps_mpd 9 -eps_smallest_real -eps_max_it 1000
223			output_file: output/test8_3.out
224			test:
225			suffix: 3_rqcg
226			args: -eps_type rqcg
227			test:
228			suffix: 3_lanczos
229			args: -eps_type lanczos -eps_lanczos_reorthog local
230			test:
231			suffix: 3_lobpcg
232			args: -eps_type lobpcg -eps_lobpcg_blocksize 3 -eps_lobpcg_locking 0 -st_ksp_type preonly -st_pc_type jacobi -eps_lobpcg_checkprecond
233			requires: !__float128
234			test:
235			suffix: 3_lobpcg_quad
236			args: -eps_type lobpcg -eps_lobpcg_blocksize 3 -eps_lobpcg_locking 0 -st_ksp_type preonly -st_pc_type jacobi -eps_tol 1e-25
237			requires: __float128
238			TEST*/
239

Function (Line)	Call count	Block coverage
MatGetDiagonal_Laplacian2D (line 158)	called 10 times	75.0%
MatMult_Laplacian2D (line 127)	called 567924 times	83.0%
main (line 25)	called 169 times	77.0%
tv (line 96)	called 9106310 times	100.0%