squiggle.c/examples/02_many_samples_time_to_botec/example.c

56 lines
1.2 KiB
C
Raw Normal View History

2023-09-27 14:25:12 +00:00
#include "../../squiggle.h"
2023-06-26 17:44:41 +00:00
#include <stdint.h>
#include <stdio.h>
2023-09-27 14:25:12 +00:00
#include <stdlib.h>
2023-06-26 17:44:41 +00:00
// Estimate functions
double sample_0(uint64_t* seed)
2023-06-26 17:44:41 +00:00
{
return 0;
}
double sample_1(uint64_t* seed)
2023-06-26 17:44:41 +00:00
{
return 1;
}
double sample_few(uint64_t* seed)
2023-06-26 17:44:41 +00:00
{
return sample_to(1, 3, seed);
2023-06-26 17:44:41 +00:00
}
double sample_many(uint64_t* seed)
2023-06-26 17:44:41 +00:00
{
return sample_to(2, 10, seed);
2023-06-26 17:44:41 +00:00
}
2023-09-27 14:25:12 +00:00
int main()
{
2023-06-26 17:44:41 +00:00
// set randomness seed
2023-09-27 14:25:12 +00:00
uint64_t* seed = malloc(sizeof(uint64_t));
*seed = 1000; // xorshift can't start with 0
2023-06-26 17:44:41 +00:00
double p_a = 0.8;
double p_b = 0.5;
double p_c = p_a * p_b;
2023-06-26 17:44:41 +00:00
int n_dists = 4;
double weights[] = { 1 - p_c, p_c / 2, p_c / 4, p_c / 4 };
double (*samplers[])(uint64_t*) = { sample_0, sample_1, sample_few, sample_many };
2023-06-26 17:44:41 +00:00
2023-09-27 14:25:12 +00:00
int n_samples = 1000000;
double* result_many = (double*)malloc(n_samples * sizeof(double));
for (int i = 0; i < n_samples; i++) {
result_many[i] = sample_mixture(samplers, weights, n_dists, seed);
}
printf("Mean: %f\n", array_mean(result_many, n_samples));
// printf("result_many: [");
// for(int i=0; i<100; i++){
// printf("%.2f, ", result_many[i]);
// }
// printf("]\n");
free(seed);
2023-06-26 17:44:41 +00:00
}