2023-09-27 14:25:12 +00:00
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#include "../../squiggle.h"
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2023-06-26 17:44:41 +00:00
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#include <stdint.h>
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#include <stdio.h>
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2023-09-27 14:25:12 +00:00
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#include <stdlib.h>
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2023-06-26 17:44:41 +00:00
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// Estimate functions
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2023-07-23 11:02:56 +00:00
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double sample_0(uint64_t* seed)
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2023-06-26 17:44:41 +00:00
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{
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return 0;
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}
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2023-07-23 11:02:56 +00:00
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double sample_1(uint64_t* seed)
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2023-06-26 17:44:41 +00:00
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{
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return 1;
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}
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2023-07-23 11:02:56 +00:00
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double sample_few(uint64_t* seed)
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2023-06-26 17:44:41 +00:00
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{
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2023-07-22 17:21:20 +00:00
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return sample_to(1, 3, seed);
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2023-06-26 17:44:41 +00:00
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}
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2023-07-23 11:02:56 +00:00
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double sample_many(uint64_t* seed)
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{
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2023-07-22 17:21:20 +00:00
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return sample_to(2, 10, seed);
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2023-06-26 17:44:41 +00:00
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}
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2023-09-27 14:25:12 +00:00
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int main()
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{
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// set randomness seed
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2023-09-27 14:25:12 +00:00
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uint64_t* seed = malloc(sizeof(uint64_t));
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*seed = 1000; // xorshift can't start with 0
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2023-06-26 17:44:41 +00:00
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2023-07-23 11:02:56 +00:00
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double p_a = 0.8;
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double p_b = 0.5;
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double p_c = p_a * p_b;
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int n_dists = 4;
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double weights[] = { 1 - p_c, p_c / 2, p_c / 4, p_c / 4 };
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double (*samplers[])(uint64_t*) = { sample_0, sample_1, sample_few, sample_many };
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2023-06-26 17:44:41 +00:00
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2023-09-27 14:25:12 +00:00
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int n_samples = 1000000;
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double* result_many = (double*)malloc(n_samples * sizeof(double));
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for (int i = 0; i < n_samples; i++) {
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result_many[i] = sample_mixture(samplers, weights, n_dists, seed);
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}
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printf("Mean: %f\n", array_mean(result_many, n_samples));
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// printf("result_many: [");
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// for(int i=0; i<100; i++){
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// printf("%.2f, ", result_many[i]);
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// }
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// printf("]\n");
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free(seed);
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2023-06-26 17:44:41 +00:00
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}
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