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Raffaele
2022-01-17 17:53:25 +01:00
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commit 0598d5b891
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my_test
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tests/README.md
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## Description
Here is developed the testing unit for all the lina functions that need numerical testing.
## Usage
For each function in the lina library named in the form of 'lina_something()', here is defined a folder named 'something'. In each folder there are many tests, each one identified by a ti.txt file, for i=1,...,n.
Each test file is defined as follows: The first matrix/matrices are the inputs of the function (depending on the function, for example: lina_add() has two inputs A,B and one output C=A+B. A and B have to be the first two matrices in the test file), the last matrix/matrices are the output of the function and after there are input scalar values (ordered in the same order of the function under test) of the function represented as a 1x1 matrix.
For example, a scale test file, that is a test for the lina_scale() function is defined as follows:
[1 1 1,
1 1 1, <-- Input matrix
1 1 1]
[2 2 2,
2 2 2, <-- Output matrix
2 2 2]
[2] <-- Input scalar value
By default, launching test will generate all the testing and provide on the stdout the results.
tests/test.c
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//Print the matrix A with size m by n //Print the matrix A with size m by n
static void pmatrix(FILE *fp, double *A, int m, int n); static void pmatrix(FILE *fp, double *A, int m, int n);
struct { struct dot_test{
double A[9], // Left argument
B[9], // Right argument double *A;
C[9]; // Expected result double *B;
} dot_tests[] = { double *C;
{
.A = {
1, 0, 0,
0, 1, 0,
0, 0, 1,
},
.B = {
1, 0, 0,
0, 1, 0,
0, 0, 1,
},
.C = {
1, 0, 0,
0, 1, 0,
0, 0, 1,
},
},
}; };
struct {
double A[9], // Input
B[9], // Expected output
factor; // Scale factor
} scale_tests[] = {
{
.A = {
1, 1, 1,
1, 1, 1,
1, 1, 1,
},
.B = {
2, 2, 2,
2, 2, 2,
2, 2, 2,
},
.factor = 2,
},
};
struct {
double *A, *B;
int m, n;
} transp_tests[] = {
{
.A = (double[]) {
1, 0, 0, 0,
0, 2, 0, 0,
0, 0, 3, 0,
0, 0, 0, 4,
},
.B = (double[]) {
1, 0, 0, 0,
0, 2, 0, 0,
0, 0, 3, 0,
0, 0, 0, 4,
},
.m = 4,
.n = 4,
},
{
.A = (double[]) {
1, 2, 3, 4,
0, 0, 0, 0,
0, 0, 0, 0,
0, 0, 0, 0,
},
.B = (double[]) {
1, 0, 0, 0,
2, 0, 0, 0,
3, 0, 0, 0,
4, 0, 0, 0,
},
.m = 4,
.n = 4,
},
{
.A = (double[]) {
0, 1, 0, 0,
0, 2, 0, 0,
0, 3, 0, 0,
0, 4, 0, 0,
},
.B = (double[]) {
0, 0, 0, 0,
1, 2, 3, 4,
0, 0, 0, 0,
0, 0, 0, 0,
},
.m = 4,
.n = 4,
},
{
.A = (double[]) {
0, 0, 1, 0,
0, 0, 2, 0,
0, 0, 3, 0,
0, 0, 4, 0,
},
.B = (double[]) {
0, 0, 0, 0,
0, 0, 0, 0,
1, 2, 3, 4,
0, 0, 0, 0,
},
.m = 4,
.n = 4,
},
{
.A = (double[]) {
0, 0, 0, 1,
0, 0, 0, 2,
0, 0, 0, 3,
0, 0, 0, 4,
},
.B = (double[]) {
0, 0, 0, 0,
0, 0, 0, 0,
0, 0, 0, 0,
1, 2, 3, 4,
},
.m = 4,
.n = 4,
},
{
.A = (double[]) {
1, 0, 0,
0, 2, 0,
0, 0, 3,
},
.B = (double[]) {
1, 0, 0,
0, 2, 0,
0, 0, 3,
},
.m = 3,
.n = 3,
},
{
.A = (double[]) {
1, 2, 3,
0, 0, 0,
0, 0, 0,
},
.B = (double[]) {
1, 0, 0,
2, 0, 0,
3, 0, 0,
},
.m = 3,
.n = 3,
},
{
.A = (double[]) {
0, 1, 0,
0, 2, 0,
0, 3, 0,
},
.B = (double[]) {
0, 0, 0,
1, 2, 3,
0, 0, 0,
},
.m = 3,
.n = 3,
},
{
.A = (double[]) {
0, 0, 1,
0, 0, 2,
0, 0, 3,
},
.B = (double[]) {
0, 0, 0,
0, 0, 0,
1, 2, 3,
},
.m = 3,
.n = 3,
},
{
.A = (double[]) {
1, 2, 3,
4, 5, 6,
},
.B = (double[]) {
1, 4,
2, 5,
3, 6,
},
.m = 2,
.n = 3,
},
{
.A = (double[]) {
1, 4,
2, 5,
3, 6,
},
.B = (double[]) {
1, 2, 3,
4, 5, 6,
},
.m = 3,
.n = 2,
},
};
int main() int main()
{ {
// Evaluate dot product tests. struct dot_test a;
{
int dot_passed = 0;
int dot_total = sizeof(dot_tests) / sizeof(*dot_tests);
for(int i = 0; i < dot_total; i += 1)
{
double R[9];
lina_dot(dot_tests[i].A, dot_tests[i].B, R, 3, 3, 3);
if(!memcmp(R, dot_tests[i].C, sizeof(R)))
{
fprintf(stderr, "Dot product test %d passed.\n", i);
dot_passed += 1;
}
else
{
fprintf(stderr, "Dot product test %d failed:\n got matrix:\n\n", i);
pmatrix(stderr, R, 3, 3);
fprintf(stderr, " instead of:\n\n");
pmatrix(stderr, dot_tests[i].C, 3, 3);
}
}
fprintf(stderr, "\n\t%d dot products out of %d were succesful.\n\n", dot_passed, dot_total);
}
// Evaluate scaling tests.
{
int scale_passed = 0;
int scale_total = sizeof(scale_tests) / sizeof(*scale_tests);
for(int i = 0; i < scale_total; i += 1)
{
double R[9];
lina_scale(scale_tests[i].A, R, scale_tests[i].factor, 3, 3);
if(!memcmp(R, scale_tests[i].B, sizeof(R)))
{
fprintf(stderr, "Scaling test %d passed.\n", i);
scale_passed += 1;
}
else
{
fprintf(stderr, "Scaling test %d failed:\n got matrix:\n\n", i);
pmatrix(stderr, R, 3, 3);
fprintf(stderr, " instead of:\n\n");
pmatrix(stderr, scale_tests[i].B, 3, 3);
}
}
fprintf(stderr, "\n\t%d scalings out of %d were succesful.\n\n", scale_passed, scale_total);
}
// Evaluate transposition tests.
{
int transp_passed = 0;
int transp_total = sizeof(transp_tests) / sizeof(*transp_tests);
for(int i = 0; i < transp_total; i += 1)
{
int m = transp_tests[i].m;
int n = transp_tests[i].n;
double R[32];
assert(sizeof(R) >= m * n * sizeof(R[0]));
lina_transpose(transp_tests[i].A, R, m, n);
if(!memcmp(R, transp_tests[i].B, sizeof(R[0]) * m * n))
{
fprintf(stderr, "Transposition test %d passed.\n", i);
transp_passed += 1;
}
else
{
fprintf(stderr, "Transposition test %d failed:\n got matrix:\n\n", i);
pmatrix(stderr, R, m, n);
fprintf(stderr, " instead of:\n\n");
pmatrix(stderr, transp_tests[i].B, m, n);
}
}
fprintf(stderr, "\n\t%d transpositions out of %d were succesful.\n\n", transp_passed, transp_total);
}
return 0; return 0;
} }