/**
 * A simple test program helps you to debug your easynn implementation.
 */

#include <stdio.h>
#include "src/libeasynn.h"

int main()
{
    program *prog = create_program();

    int inputs0[] = {};
    append_expression(prog, 0, "a", "Input", inputs0, 0);

    //int inputs1[] = {0, 0};
    //append_expression(prog, 1, "", "Add", inputs1, 2);

    //int inputs2[] = {2, 2};
    //append_expression(prog, 2, "", "Mul", inputs2, 2);

    //int inputs3[] = {10, 5};
    //append_expression(prog, 3, "", "Sub", inputs3, 2);


    evaluation *eval = build(prog);
    add_kwargs_double(eval, "a", 5);


    // tensor tests
    // it is easier for me 
    // to just compile the library and run the python grading tests than to use this program
    int dim = 0;
    size_t *shape = nullptr;
    double *data = nullptr;
    if (execute(eval, &dim, &shape, &data) != 0)
    {
        printf("evaluation fails\n");
        return -1;
    }

    if (dim == 0)
        printf("res = %f\n", data[0]);
    else
        printf("result as tensor is not supported yet\n");

    return 0;
}