reformat & remake

This commit is contained in:
NunoSempere 2023-11-29 23:10:22 +00:00
parent 186b10cddf
commit ca1f81444e
23 changed files with 55 additions and 49 deletions

View File

@ -12,10 +12,10 @@ int main()
double p_b = 0.5;
double p_c = p_a * p_b;
double sample_0(uint64_t* seed){ return 0; }
double sample_1(uint64_t* seed) { return 1; }
double sample_few(uint64_t* seed) { return sample_to(1, 3, seed); }
double sample_many(uint64_t* seed) { return sample_to(2, 10, seed); }
double sample_0(uint64_t * seed) { return 0; }
double sample_1(uint64_t * seed) { return 1; }
double sample_few(uint64_t * seed) { return sample_to(1, 3, seed); }
double sample_many(uint64_t * seed) { return sample_to(2, 10, seed); }
int n_dists = 4;
double weights[] = { 1 - p_c, p_c / 2, p_c / 4, p_c / 4 };

Binary file not shown.

Binary file not shown.

Binary file not shown.

View File

@ -13,13 +13,14 @@ int main()
int n_samples = 1000 * 1000 * 1000;
int n_threads = 16;
double sampler(uint64_t* seed){
double sampler(uint64_t * seed)
{
return sample_lognormal(0, 10, seed);
}
double* results = malloc(n_samples * sizeof(double));
sampler_parallel(sampler, results, n_threads, n_samples);
double avg = array_sum(results, n_samples)/n_samples;
double avg = array_sum(results, n_samples) / n_samples;
printf("Average of 1B lognormal(0,10): %f", avg);
free(results);

View File

@ -9,21 +9,22 @@ int main()
double p_b = 0.5;
double p_c = p_a * p_b;
double sample_0(uint64_t* seed){ return 0; }
double sample_1(uint64_t* seed) { return 1; }
double sample_few(uint64_t* seed) { return sample_to(1, 3, seed); }
double sample_many(uint64_t* seed) { return sample_to(2, 10, seed); }
double sample_0(uint64_t * seed) { return 0; }
double sample_1(uint64_t * seed) { return 1; }
double sample_few(uint64_t * seed) { return sample_to(1, 3, seed); }
double sample_many(uint64_t * seed) { return sample_to(2, 10, seed); }
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 };
double sampler_result(uint64_t* seed) {
double sampler_result(uint64_t * seed)
{
return sample_mixture(samplers, weights, n_dists, seed);
}
}
int n_samples = 1000 * 1000, n_threads = 16;
double* results = malloc(n_samples * sizeof(double));
sampler_parallel(sampler_result, results, n_threads, n_samples);
printf("Avg: %f\n", array_sum(results, n_samples)/n_samples);
printf("Avg: %f\n", array_sum(results, n_samples) / n_samples);
free(results);
}

View File

@ -13,19 +13,21 @@ int main()
/* Option 1: parallelize taking from n samples */
// Question being asked: what is the distribution of sampling 1000 times and taking the min?
double sample_min_of_n(uint64_t* seed, int n){
double sample_min_of_n(uint64_t * seed, int n)
{
double min = sample_normal(5, 2, seed);
for(int i=0; i<(n-2); i++){
for (int i = 0; i < (n - 2); i++) {
double sample = sample_normal(5, 2, seed);
if(sample < min){
if (sample < min) {
min = sample;
}
}
return min;
}
double sample_min_of_1000(uint64_t* seed) {
double sample_min_of_1000(uint64_t * seed)
{
return sample_min_of_n(seed, 1000);
}
}
int n_samples = 1000000, n_threads = 16;
double* results = malloc(n_samples * sizeof(double));
@ -35,7 +37,8 @@ int main()
/* Option 2: take the min from n samples cleverly using parallelism */
// Question being asked: can we take the min of n samples cleverly?
double sample_n_parallel(int n){
double sample_n_parallel(int n)
{
int n_threads = 16;
int quotient = n / 16;
@ -43,25 +46,25 @@ int main()
uint64_t seed = 1000;
double result_remainder = sample_min_of_n(&seed, remainder);
double sample_min_of_quotient(uint64_t* seed) {
double sample_min_of_quotient(uint64_t * seed)
{
return sample_min_of_n(seed, quotient);
}
double* results_quotient = malloc(quotient * sizeof(double));
sampler_parallel(sample_min_of_quotient, results_quotient, n_threads, quotient);
double min = results_quotient[0];
for(int i=1; i<quotient; i++){
if(min > results_quotient[i]){
for (int i = 1; i < quotient; i++) {
if (min > results_quotient[i]) {
min = results_quotient[i];
}
}
if(min > result_remainder){
if (min > result_remainder) {
min = result_remainder;
}
free(results_quotient);
return min;
}
printf("Minimum of 1M samples of normal(5,2): %f\n", sample_n_parallel(1000000));
}

View File

@ -8,7 +8,7 @@ int main()
// set randomness seed
uint64_t* seed = malloc(sizeof(uint64_t));
*seed = 1000; // xorshift can't start with a seed of 0
int n = 1000000;
double* xs = malloc(sizeof(double) * n);
for (int i = 0; i < n; i++) {

View File

@ -13,8 +13,8 @@ format-examples:
cd examples/more && make format-all
format: squiggle.c squiggle.h
$(FORMATTER) squiggle.c
$(FORMATTER) squiggle.h
$(FORMATTER) squiggle.c squiggle.h
$(FORMATTER) squiggle_more.c squiggle_more.h
lint:
clang-tidy squiggle.c -- -lm

View File

@ -1,15 +1,16 @@
#include "squiggle.h"
#include <float.h>
#include <math.h>
#include <limits.h>
#include <math.h>
#include <omp.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include "squiggle.h"
/* Parallel sampler */
void sampler_parallel(double (*sampler)(uint64_t* seed), double* results, int n_threads, int n_samples){
if((n_samples % n_threads) != 0){
void sampler_parallel(double (*sampler)(uint64_t* seed), double* results, int n_threads, int n_samples)
{
if ((n_samples % n_threads) != 0) {
fprintf(stderr, "Number of samples isn't divisible by number of threads, aborting\n");
exit(1);
}
@ -20,12 +21,12 @@ void sampler_parallel(double (*sampler)(uint64_t* seed), double* results, int n_
}
int i;
#pragma omp parallel private(i)
#pragma omp parallel private(i)
{
#pragma omp for
#pragma omp for
for (i = 0; i < n_threads; i++) {
int lower_bound = i * (n_samples / n_threads);
int upper_bound = ((i+1) * (n_samples / n_threads)) - 1;
int upper_bound = ((i + 1) * (n_samples / n_threads)) - 1;
// printf("Lower bound: %d, upper bound: %d\n", lower_bound, upper_bound);
for (int j = lower_bound; j < upper_bound; j++) {
results[j] = sampler(seeds[i]);
@ -95,7 +96,8 @@ static double quickselect(int k, double xs[], int n)
}
}
ci array_get_ci(ci interval, double* xs, int n){
ci array_get_ci(ci interval, double* xs, int n)
{
int low_k = floor(interval.low * n);
int high_k = ceil(interval.high * n);
@ -107,10 +109,11 @@ ci array_get_ci(ci interval, double* xs, int n){
}
ci array_get_90_ci(double xs[], int n)
{
return array_get_ci((ci) {.low = 0.05, .high = 0.95}, xs, n);
return array_get_ci((ci) { .low = 0.05, .high = 0.95 }, xs, n);
}
ci sampler_get_ci(ci interval, double (*sampler)(uint64_t*), int n, uint64_t* seed){
ci sampler_get_ci(ci interval, double (*sampler)(uint64_t*), int n, uint64_t* seed)
{
double* xs = malloc(n * sizeof(double));
for (int i = 0; i < n; i++) {
xs[i] = sampler(seed);
@ -118,11 +121,10 @@ ci sampler_get_ci(ci interval, double (*sampler)(uint64_t*), int n, uint64_t* se
ci result = array_get_ci(interval, xs, n);
free(xs);
return result;
}
ci sampler_get_90_ci(double (*sampler)(uint64_t*), int n, uint64_t* seed)
{
return sampler_get_ci((ci) {.low = 0.05, .high = 0.95}, sampler, n, seed);
return sampler_get_ci((ci) { .low = 0.05, .high = 0.95 }, sampler, n, seed);
}
/* Algebra manipulations */
@ -274,7 +276,7 @@ struct box inverse_cdf_double(double cdf(double), double p)
}
}
// Version #2:
// Version #2:
// - input: (cdf: double => Box(number|error), p)
// - output: Box(number|error)
struct box inverse_cdf_box(struct box cdf_box(double), double p)
@ -372,11 +374,11 @@ double sampler_cdf_danger(struct box cdf(double), uint64_t* seed)
{
double p = sample_unit_uniform(seed);
struct box result = inverse_cdf_box(cdf, p);
if(result.empty){
exit(1);
}else{
return result.content;
}
if (result.empty) {
exit(1);
} else {
return result.content;
}
}
/* array print: potentially useful for debugging */
@ -390,4 +392,3 @@ void array_print(double xs[], int n)
printf("%f", xs[n - 1]);
printf("]\n");
}

View File

@ -1,5 +1,5 @@
#ifndef SQUIGGLE_C_EXTRA
#define SQUIGGLE_C_EXTRA
#define SQUIGGLE_C_EXTRA
/* Parallel sampling */
void sampler_parallel(double (*sampler)(uint64_t* seed), double* results, int n_threads, int n_samples);
@ -29,7 +29,7 @@ typedef struct lognormal_params_t {
lognormal_params algebra_product_lognormals(lognormal_params a, lognormal_params b);
lognormal_params convert_ci_to_lognormal_params(ci x);
ci convert_lognormal_params_to_ci(lognormal_params y);
ci convert_lognormal_params_to_ci(lognormal_params y);
/* Error handling */
struct box {