added test unit
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-1
@@ -1,2 +1,3 @@
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.swp
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test
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test
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.vscode
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@@ -1,9 +1,8 @@
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#include <stddef.h> // NULL
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#include <assert.h> // assert
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#include <stdlib.h>
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#include "lina.h"
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// Evaluate the dot product C = A*B where C is of size m by l, A is m by n and B is n by l.
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// NOTE: C can't be the same pointer of A or B.
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void lina_dot(double *A, double *B, double *C, int m, int n, int l){
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assert(m > 0 && n > 0 && l > 0);
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@@ -32,8 +31,6 @@ void lina_dot(double *A, double *B, double *C, int m, int n, int l){
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}
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// Evaluate C = A + B where A,B,C are m by n.
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// NOTE: C can be the same location of A or B.
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void lina_add(double *A, double *B, double *C, int m, int n){
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assert(m > 0 && n > 0);
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@@ -46,8 +43,6 @@ void lina_add(double *A, double *B, double *C, int m, int n){
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C[i * n + j] = A[i * n + j] + B[i * n + j];
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}
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// Evaluate B = k*A where A and B are m by n matrices.
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// NOTE: B can be the same location of A.
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void lina_scale(double *A, double *B, double k, int m, int n){
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assert(m > 0 && n > 0);
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@@ -60,13 +55,34 @@ void lina_scale(double *A, double *B, double k, int m, int n){
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B[i * n + j] = k * A[i * n + j];
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}
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// Evaluate B = A^t (the transpose of A) where A is m by n.
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// NOTE: B can be the same location of A.
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void lina_transpose(double *A, double *B, int m, int n){
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assert(m > 0 && n > 0);
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assert(A != NULL && B != NULL);
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double *support = malloc(sizeof(*support) * m * n);
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for(int i=0;i<n;i++){
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for(int j=0;j<m;j++){
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support[i*m + j] = A[j*n + i];
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}
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}
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for(int i=0;i<n;i++){
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for(int j=0;j<m;j++){
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B[i*m + j] = support[i*m + j];
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}
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}
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free(support);
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support = NULL;
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/*
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| A B C |
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| D E F |
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@@ -79,5 +95,5 @@ void lina_transpose(double *A, double *B, int m, int n){
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| A B C D E F - - - |
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| A D - B E - C F - |
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*/
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#warning "TODO"
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#warning "Try to think better algorithm"
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}
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@@ -1,8 +1,96 @@
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#include <stdio.h>
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#include <stdlib.h>
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#include <stddef.h>
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#include "lina.h"
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#define NUM_TESTS 100 //Number of tests case to create
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#define MATRIX_MAX_ROWS 4 //Max rows that a matrix can have
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#define MATRIX_MAX_COLLUMNS 4 //Max collumns a matrix can have
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#define MAX_VALUE 15 //Max value a matrix can have
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//Matrix type. A is m by n
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typedef struct matrix_t
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{
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double *A;
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int m;
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int n;
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}matrix_t;
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//Dinamically create NUM_TESTS tests case randomly generating matrices with random values (whom max is MAX_VALUE)
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//and random collumns and row numbers (whom max is MATRIX_MAX_ROWS and MATRIX_MAX_COLLUMNS)
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void create_tests(matrix_t **tests);
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//Free the heap memory from the test structure
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void delete_tests(matrix_t **tests);
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//Print the matrix A with size m by n
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void pmatrix(double *A, int m, int n);
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int main()
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{
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fprintf(stderr, "There's nothing here yet..\n");
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matrix_t *tests[NUM_TESTS];
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create_tests(tests);
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pmatrix(tests[0]->A,tests[0]->m,tests[0]->n);
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return 0;
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}
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}
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void pmatrix(double *A,int m,int n){
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for(int i = 0; i<m; i++){
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for(int j = 0; j< n; j++)
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printf("%f\t",A[i*n + j]);
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printf("\n");
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}
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}
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void create_tests(matrix_t **tests){
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srand(1);
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for(int i=0;i<NUM_TESTS;i++){
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int rows = rand() % MATRIX_MAX_ROWS;
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int cols = rand() % MATRIX_MAX_COLLUMNS;
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double *ptr = malloc(sizeof(*ptr)*rows*cols);
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for(int j=0;j<rows*cols;j++){
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ptr[j] = rand() % MAX_VALUE;
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}
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matrix_t *m_point = malloc(sizeof(matrix_t));
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m_point->A = ptr;
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m_point->m = rows;
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m_point->n = cols;
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tests[i] = m_point;
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}
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}
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void delete_tests(matrix_t **tests){
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for(int i=0;i<NUM_TESTS;i++){
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free(tests[i]->A);
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free(tests[i]);
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}
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tests = NULL;
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}
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