GCC Code Coverage Report

Directory:	./
File:	src/mfn/tutorials/ex23.c
Date:	2025-10-04 04:19:13

	Exec	Total	Coverage
Lines:	70	70	100.0%
Functions:	2	2	100.0%
Branches:	199	302	65.9%

  
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      Exec
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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[] = "Computes exp(t*A)*v for a matrix associated with a Markov model.\n\n"
    
        "The command line options are:\n"
    
        "  -t <t>, where <t> = time parameter (multiplies the matrix).\n"
    
        "  -m <m>, where <m> = number of grid subdivisions in each dimension.\n\n"
    
        "To draw the solution run with -mfn_view_solution draw -draw_pause -1\n\n";
    
      #include <slepcmfn.h>
    
      /*
    
         User-defined routines
    
      */
    
      PetscErrorCode MatMarkovModel(PetscInt m,Mat A);
    
      10
      int main(int argc,char **argv)
    
      {
    
      10
        Mat                A;           /* problem matrix */
    
      10
        MFN                mfn;
    
      10
        FN                 f;
    
      10
        PetscReal          tol,norm;
    
      10
        PetscScalar        t=2.0;
    
      10
        Vec                v,y;
    
      10
        PetscInt           N,m=15,ncv,maxit,its;
    
      10
        MFNConvergedReason reason;
    
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      10
        PetscFunctionBeginUser;
    
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      10
        PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
    
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      10
        PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL));
    
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      10
        PetscCall(PetscOptionsGetScalar(NULL,NULL,"-t",&t,NULL));
    
      10
        N = m*(m+1)/2;
    
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      10
        PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nMarkov y=exp(t*A)*e_1, N=%" PetscInt_FMT " (m=%" PetscInt_FMT ")\n\n",N,m));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                  Compute the transition probability matrix, A
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
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      10
        PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
    
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      10
        PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
    
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      10
        PetscCall(MatSetFromOptions(A));
    
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      10
        PetscCall(MatMarkovModel(m,A));
    
        /* set v = e_1 */
    
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      10
        PetscCall(MatCreateVecs(A,NULL,&y));
    
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      10
        PetscCall(MatCreateVecs(A,NULL,&v));
    
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      10
        PetscCall(VecSetValue(v,0,1.0,INSERT_VALUES));
    
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      10
        PetscCall(VecAssemblyBegin(v));
    
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      10
        PetscCall(VecAssemblyEnd(v));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                      Create the solver and set various options
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
        /*
    
           Create matrix function solver context
    
        */
    
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      10
        PetscCall(MFNCreate(PETSC_COMM_WORLD,&mfn));
    
        /*
    
           Set operator matrix, the function to compute, and other options
    
        */
    
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      10
        PetscCall(MFNSetOperator(mfn,A));
    
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      10
        PetscCall(MFNGetFN(mfn,&f));
    
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      10
        PetscCall(FNSetType(f,FNEXP));
    
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      10
        PetscCall(FNSetScale(f,t,1.0));
    
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      10
        PetscCall(MFNSetTolerances(mfn,1e-07,PETSC_CURRENT));
    
        /*
    
           Set solver parameters at runtime
    
        */
    
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      10
        PetscCall(MFNSetFromOptions(mfn));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                            Solve the problem, y=exp(t*A)*v
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
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      10
        PetscCall(MFNSolve(mfn,v,y));
    
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      10
        PetscCall(MFNGetConvergedReason(mfn,&reason));
    
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      10
        PetscCheck(reason>=0,PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Solver did not converge");
    
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      10
        PetscCall(VecNorm(y,NORM_2,&norm));
    
        /*
    
           Optional: Get some information from the solver and display it
    
        */
    
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      10
        PetscCall(MFNGetIterationNumber(mfn,&its));
    
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      10
        PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %" PetscInt_FMT "\n",its));
    
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      10
        PetscCall(MFNGetDimensions(mfn,&ncv));
    
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      10
        PetscCall(PetscPrintf(PETSC_COMM_WORLD," Subspace dimension: %" PetscInt_FMT "\n",ncv));
    
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      10
        PetscCall(MFNGetTolerances(mfn,&tol,&maxit));
    
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      10
        PetscCall(PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%" PetscInt_FMT "\n",(double)tol,maxit));
    
        /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    
                          Display solution and clean up
    
           - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    
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      10
        PetscCall(PetscPrintf(PETSC_COMM_WORLD," Computed vector at time t=%.4g has norm %g\n\n",(double)PetscRealPart(t),(double)norm));
    
        /*
    
           Free work space
    
        */
    
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      10
        PetscCall(MFNDestroy(&mfn));
    
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      10
        PetscCall(MatDestroy(&A));
    
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      10
        PetscCall(VecDestroy(&v));
    
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      10
        PetscCall(VecDestroy(&y));
    
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      10
        PetscCall(SlepcFinalize());
    
        return 0;
    
      }
    
      /*
    
          Matrix generator for a Markov model of a random walk on a triangular grid.
    
          See ex5.c for additional details.
    
      */
    
      10
      PetscErrorCode MatMarkovModel(PetscInt m,Mat A)
    
      {
    
      10
        const PetscReal cst = 0.5/(PetscReal)(m-1);
    
      10
        PetscReal       pd,pu;
    
      10
        PetscInt        Istart,Iend,i,j,jmax,ix=0;
    
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      10
        PetscFunctionBeginUser;
    
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      10
        PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
    
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      160
        for (i=1;i<=m;i++) {
    
      150
          jmax = m-i+1;
    
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      1350
          for (j=1;j<=jmax;j++) {
    
      1200
            ix = ix + 1;
    
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      1200
            if (ix-1<Istart || ix>Iend) continue;  /* compute only owned rows */
    
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      1200
            if (j!=jmax) {
    
      1050
              pd = cst*(PetscReal)(i+j-1);
    
              /* north */
    
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      1050
              if (i==1) PetscCall(MatSetValue(A,ix-1,ix,2*pd,INSERT_VALUES));
    
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      910
              else PetscCall(MatSetValue(A,ix-1,ix,pd,INSERT_VALUES));
    
              /* east */
    
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              if (j==1) PetscCall(MatSetValue(A,ix-1,ix+jmax-1,2*pd,INSERT_VALUES));
    
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      910
              else PetscCall(MatSetValue(A,ix-1,ix+jmax-1,pd,INSERT_VALUES));
    
            }
    
            /* south */
    
      1200
            pu = 0.5 - cst*(PetscReal)(i+j-3);
    
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      1200
            if (j>1) PetscCall(MatSetValue(A,ix-1,ix-2,pu,INSERT_VALUES));
    
            /* west */
    
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      1200
            if (i>1) PetscCall(MatSetValue(A,ix-1,ix-jmax-2,pu,INSERT_VALUES));
    
          }
    
        }
    
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      10
        PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
    
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      10
        PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
    
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      2
        PetscFunctionReturn(PETSC_SUCCESS);
    
      }
    
      /*TEST
    
         test:
    
            suffix: 1
    
            args: -mfn_ncv 6
    
      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[] = "Computes exp(tA)v for a matrix associated with a Markov model.\n\n"
12			"The command line options are:\n"
13			" -t <t>, where <t> = time parameter (multiplies the matrix).\n"
14			" -m <m>, where <m> = number of grid subdivisions in each dimension.\n\n"
15			"To draw the solution run with -mfn_view_solution draw -draw_pause -1\n\n";
16
17			#include <slepcmfn.h>
18
19			/*
20			User-defined routines
21			*/
22			PetscErrorCode MatMarkovModel(PetscInt m,Mat A);
23
24		10	int main(int argc,char **argv)
25			{
26		10	Mat A; /* problem matrix */
27		10	MFN mfn;
28		10	FN f;
29		10	PetscReal tol,norm;
30		10	PetscScalar t=2.0;
31		10	Vec v,y;
32		10	PetscInt N,m=15,ncv,maxit,its;
33		10	MFNConvergedReason reason;
34
35	1/2 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken.	10	PetscFunctionBeginUser;
36	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(SlepcInitialize(&argc,&argv,NULL,help));
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.	10	PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL));
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40		10	N = m*(m+1)/2;
41	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(PetscPrintf(PETSC_COMM_WORLD,"\nMarkov y=exp(tA)e_1, N=%" PetscInt_FMT " (m=%" PetscInt_FMT ")\n\n",N,m));
42
43			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
44			Compute the transition probability matrix, A
45			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
46
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.	10	PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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50	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(MatMarkovModel(m,A));
51
52			/* set v = e_1 */
53	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(MatCreateVecs(A,NULL,&y));
54	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(MatCreateVecs(A,NULL,&v));
55	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(VecSetValue(v,0,1.0,INSERT_VALUES));
56	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(VecAssemblyBegin(v));
57	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(VecAssemblyEnd(v));
58
59			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
60			Create the solver and set various options
61			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
62			/*
63			Create matrix function solver context
64			*/
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.	10	PetscCall(MFNCreate(PETSC_COMM_WORLD,&mfn));
66
67			/*
68			Set operator matrix, the function to compute, and other options
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.	10	PetscCall(MFNSetOperator(mfn,A));
71	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(MFNGetFN(mfn,&f));
72	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(FNSetType(f,FNEXP));
73	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(FNSetScale(f,t,1.0));
74	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(MFNSetTolerances(mfn,1e-07,PETSC_CURRENT));
75
76			/*
77			Set solver parameters at runtime
78			*/
79	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(MFNSetFromOptions(mfn));
80
81			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
82			Solve the problem, y=exp(tA)v
83			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
84
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.	10	PetscCall(MFNSolve(mfn,v,y));
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.	10	PetscCall(MFNGetConvergedReason(mfn,&reason));
87	1/4 ✗ Branch 0 not taken. ✓ Branch 1 taken 10 times. ✗ Branch 2 not taken. ✗ Branch 3 not taken.	10	PetscCheck(reason>=0,PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Solver did not converge");
88	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(VecNorm(y,NORM_2,&norm));
89
90			/*
91			Optional: Get some information from the solver and display it
92			*/
93	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(MFNGetIterationNumber(mfn,&its));
94	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(PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %" PetscInt_FMT "\n",its));
95	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(MFNGetDimensions(mfn,&ncv));
96	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(PetscPrintf(PETSC_COMM_WORLD," Subspace dimension: %" PetscInt_FMT "\n",ncv));
97	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(MFNGetTolerances(mfn,&tol,&maxit));
98	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(PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%" PetscInt_FMT "\n",(double)tol,maxit));
99
100			/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
101			Display solution and clean up
102			- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
103	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(PetscPrintf(PETSC_COMM_WORLD," Computed vector at time t=%.4g has norm %g\n\n",(double)PetscRealPart(t),(double)norm));
104
105			/*
106			Free work space
107			*/
108	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(MFNDestroy(&mfn));
109	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(MatDestroy(&A));
110	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(VecDestroy(&v));
111	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(VecDestroy(&y));
112	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.	10	PetscCall(SlepcFinalize());
113			return 0;
114			}
115
116			/*
117			Matrix generator for a Markov model of a random walk on a triangular grid.
118			See ex5.c for additional details.
119			*/
120		10	PetscErrorCode MatMarkovModel(PetscInt m,Mat A)
121			{
122		10	const PetscReal cst = 0.5/(PetscReal)(m-1);
123		10	PetscReal pd,pu;
124		10	PetscInt Istart,Iend,i,j,jmax,ix=0;
125
126	1/2 ✓ Branch 0 taken 2 times. ✗ Branch 1 not taken.	10	PetscFunctionBeginUser;
127	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(MatGetOwnershipRange(A,&Istart,&Iend));
128	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	160	for (i=1;i<=m;i++) {
129		150	jmax = m-i+1;
130	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	1350	for (j=1;j<=jmax;j++) {
131		1200	ix = ix + 1;
132	2/4 ✓ Branch 0 taken 10 times. ✗ Branch 1 not taken. ✗ Branch 2 not taken. ✓ Branch 3 taken 10 times.	1200	if (ix-1<Istart \|\| ix>Iend) continue; /* compute only owned rows */
133	2/2 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times.	1200	if (j!=jmax) {
134		1050	pd = cst*(PetscReal)(i+j-1);
135			/* north */
136	6/8 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times. ✓ Branch 2 taken 2 times. ✓ Branch 3 taken 8 times. ✓ Branch 4 taken 2 times. ✗ Branch 5 not taken. ✗ Branch 6 not taken. ✓ Branch 7 taken 2 times.	1050	if (i==1) PetscCall(MatSetValue(A,ix-1,ix,2*pd,INSERT_VALUES));
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.	910	else PetscCall(MatSetValue(A,ix-1,ix,pd,INSERT_VALUES));
138			/* east */
139	6/8 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times. ✓ Branch 2 taken 2 times. ✓ Branch 3 taken 8 times. ✓ Branch 4 taken 2 times. ✗ Branch 5 not taken. ✗ Branch 6 not taken. ✓ Branch 7 taken 2 times.	1050	if (j==1) PetscCall(MatSetValue(A,ix-1,ix+jmax-1,2*pd,INSERT_VALUES));
140	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.	910	else PetscCall(MatSetValue(A,ix-1,ix+jmax-1,pd,INSERT_VALUES));
141			}
142			/* south */
143		1200	pu = 0.5 - cst*(PetscReal)(i+j-3);
144	6/8 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times. ✓ Branch 2 taken 2 times. ✓ Branch 3 taken 8 times. ✓ Branch 4 taken 2 times. ✗ Branch 5 not taken. ✗ Branch 6 not taken. ✓ Branch 7 taken 2 times.	1200	if (j>1) PetscCall(MatSetValue(A,ix-1,ix-2,pu,INSERT_VALUES));
145			/* west */
146	6/8 ✓ Branch 0 taken 10 times. ✓ Branch 1 taken 10 times. ✓ Branch 2 taken 2 times. ✓ Branch 3 taken 8 times. ✓ Branch 4 taken 2 times. ✗ Branch 5 not taken. ✗ Branch 6 not taken. ✓ Branch 7 taken 2 times.	1200	if (i>1) PetscCall(MatSetValue(A,ix-1,ix-jmax-2,pu,INSERT_VALUES));
147			}
148			}
149	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(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
150	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(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
151	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);
152			}
153
154			/*TEST
155
156			test:
157			suffix: 1
158			args: -mfn_ncv 6
159
160			TEST*/
161

Function (Line)	Call count	Block coverage
MatMarkovModel (line 120)	called 10 times	82.0%
main (line 24)	called 10 times	82.0%