clean up compilation of C example

This commit is contained in:
NunoSempere 2023-05-20 20:20:43 -04:00
parent eaf1915bdb
commit f0493f6955
5 changed files with 164 additions and 133 deletions

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@ -1,15 +0,0 @@
#!/bin/bash
root="$1"
gcc -std=c99 -Wall -lm "$root".c -o "$root" -I/usr/local/include -L/usr/local/lib -lgsl -lgslcblas -lm -g
# Link libraries, for good measure
LD_LIBRARY_PATH=/usr/local/lib
export LD_LIBRARY_PATH
# Increase stack size limit
ulimit -Ss 256000
# -Ss: the soft limit. If you set the hard limit, you then can't raise it
# 256000: around 250Mbs, if I'm reading it correctly.
# run
./samples

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@ -1,13 +0,0 @@
#!/bin/bash
root="$1"
gcc -std=c99 -Wall -lm "$root".c -o "$root" -I/usr/local/include -L/usr/local/lib -lgsl -lgslcblas -lm -g
# Link libraries, for good measure
LD_LIBRARY_PATH=/usr/local/lib
export LD_LIBRARY_PATH
# Increase stack size limit
ulimit -Ss 256000
# -Ss: the soft limit. If you set the hard limit, you then can't raise it
# 256000: around 250Mbs, if I'm reading it correctly.

50
C/samples/makefile Normal file
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@ -0,0 +1,50 @@
# Interface:
# make
# make build
# make format
# make run
# Compiler
CC=gcc
# CC=tcc # <= faster compilation
# Main file
SRC=samples.c
OUTPUT=samples
## Dependencies
DEPS='gsl'
## Flags
INCS=`pkg-config --cflags ${DEPS}`
LIBS=`pkg-config --libs ${DEPS}`
DEBUG= #'-g'
STANDARD=-std=c99
WARNINGS=-Wall
## Formatter
STYLE_BLUEPRINT=webkit
FORMATTER=clang-format -i -style=$(STYLE_BLUEPRINT)
## make build
build: $(SRC)
$(CC) $(DEBUG) $(INCS) $(PLUGS) $(SRC) -o samples $(LIBS)
format: $(SRC)
$(FORMATTER) $(SRC)
run: $(SRC) $(OUTPUT)
echo "Increasing stack size limit, because we are dealing with 1M samples"
ulimit -Ss 256000
# ^ Increase stack size limit
# -Ss: the soft limit. If you set the hard limit, you then can't raise it
# 256000: around 250Mbs, if I'm reading it correctly.
./$(OUTPUT)
# Old:
# Link libraries, for good measure
# LD_LIBRARY_PATH=/usr/local/lib
# export LD_LIBRARY_PATH

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219
C/samples/samples.c Executable file → Normal file
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@ -1,8 +1,8 @@
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>
#include <gsl/gsl_rng.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#define N 1000000
/*
@ -12,129 +12,138 @@
*/
/* Helpers */
void print(double *ys){
for(int i=0; i<N; i++){
printf("%f\n", ys[i]);
}
printf("\n");
void print(double* ys)
{
for (int i = 0; i < N; i++) {
printf("%f\n", ys[i]);
}
printf("\n");
}
void fill(double *ys, float f){
for(int i=0; i<N; i++){
ys[i] = f;
}
void fill(double* ys, float f)
{
for (int i = 0; i < N; i++) {
ys[i] = f;
}
}
double sum(double *ps, int n){
double result = 0;
for(int i=0; i<n; i++){
result += ps[i];
}
return(result);
double sum(double* ps, int n)
{
double result = 0;
for (int i = 0; i < n; i++) {
result += ps[i];
}
return (result);
}
void cumsum(double *ps, double *rs, int n){
double counter = 0;
for(int i=0; i<n; i++){
counter += ps[i];
rs[i] = counter;
}
void cumsum(double* ps, double* rs, int n)
{
double counter = 0;
for (int i = 0; i < n; i++) {
counter += ps[i];
rs[i] = counter;
}
}
/* Distributions*/
void normal(gsl_rng * r, double *ys, double mean, double std){
for(int i=0; i<N; i++){
ys[i] = mean + gsl_ran_gaussian(r, std);
}
void normal(gsl_rng* r, double* ys, double mean, double std)
{
for (int i = 0; i < N; i++) {
ys[i] = mean + gsl_ran_gaussian(r, std);
}
}
void lognormal(gsl_rng * r, double *ys, double zeta, double sigma){
for(int i=0; i<N; i++){
ys[i] = gsl_ran_lognormal(r, zeta, sigma);
}
void lognormal(gsl_rng* r, double* ys, double zeta, double sigma)
{
for (int i = 0; i < N; i++) {
ys[i] = gsl_ran_lognormal(r, zeta, sigma);
}
}
void to(gsl_rng * r, double *ys, double low, double high){
double normal95confidencePoint = 1.6448536269514722;
double log_low = log(low);
double log_high = log(high);
double zeta = (log_low + log_high)/2;
double sigma = (log_high - log_low) / (2.0 * normal95confidencePoint);
lognormal(r, ys, zeta, sigma);
void to(gsl_rng* r, double* ys, double low, double high)
{
double normal95confidencePoint = 1.6448536269514722;
double log_low = log(low);
double log_high = log(high);
double zeta = (log_low + log_high) / 2;
double sigma = (log_high - log_low) / (2.0 * normal95confidencePoint);
lognormal(r, ys, zeta, sigma);
}
/* Mixture of distributions */
void mixture(gsl_rng * r, double *dists[], double *weights, int n, double *results){
/* Get cummulative, normalized weights */
double sum_weights = sum(weights, n);
double normalized_weights[n];
for(int i=0; i<n; i++){
normalized_weights[i] = weights[i]/sum_weights;
}
double cummulative_weights[n];
cumsum(normalized_weights, cummulative_weights, n);
/* Get N samples, drawn from the different distributions in proportion to their weights. */
for(int i=0; i<N; i++){
double p_1 = gsl_rng_uniform(r);
double p_2 = gsl_rng_uniform(r);
int index_found = 0;
int index_counter = 0;
while ((index_found == 0) && (index_counter < n) ){
if(p_1 < cummulative_weights[index_counter]){
index_found = 1;
}else{
index_counter++;
}
void mixture(gsl_rng* r, double* dists[], double* weights, int n, double* results)
{
/* Get cummulative, normalized weights */
double sum_weights = sum(weights, n);
double normalized_weights[n];
for (int i = 0; i < n; i++) {
normalized_weights[i] = weights[i] / sum_weights;
}
if(index_found == 0) {
printf("\nThis shouldn't be able to happen");
// gsl_rng_free (r);
// abort(); // this shouldn't have happened.
}else{
int sample_index = (int) floor(p_2 * N);
results[i] = dists[index_counter][sample_index];
double cummulative_weights[n];
cumsum(normalized_weights, cummulative_weights, n);
/* Get N samples, drawn from the different distributions in proportion to their weights. */
for (int i = 0; i < N; i++) {
double p_1 = gsl_rng_uniform(r);
double p_2 = gsl_rng_uniform(r);
int index_found = 0;
int index_counter = 0;
while ((index_found == 0) && (index_counter < n)) {
if (p_1 < cummulative_weights[index_counter]) {
index_found = 1;
} else {
index_counter++;
}
}
if (index_found == 0) {
printf("\nThis shouldn't be able to happen");
// gsl_rng_free (r);
// abort(); // this shouldn't have happened.
} else {
int sample_index = (int)floor(p_2 * N);
results[i] = dists[index_counter][sample_index];
}
}
}
}
/* Main */
int main(void){
/* Initialize GNU Statistical Library (GSL) stuff */
const gsl_rng_type * T;
gsl_rng * r;
// gsl_rng_env_setup();
T = gsl_rng_default;
r = gsl_rng_alloc (T);
/* Toy example */
/* Declare variables in play */
double p_a, p_b, p_c;
double dist_none[N], dist_one[N], dist_few[N], dist_many[N], dist_mixture[N];
/* Initialize variables */
p_a = 0.8;
p_b = 0.5;
p_c = p_a * p_b;
fill(dist_none, 0);
fill(dist_one, 1);
to(r, dist_few, 1, 3);
to(r, dist_many, 2, 10);
int main(void)
{
/* Initialize GNU Statistical Library (GSL) stuff */
const gsl_rng_type* T;
gsl_rng* r;
// gsl_rng_env_setup();
T = gsl_rng_default;
r = gsl_rng_alloc(T);
/* Generate mixture */
int n = 4;
double weights[] = { 1 - p_c, p_c/2, p_c/4, p_c/4 };
double *dists[] = { dist_none, dist_one, dist_few, dist_many };
mixture(r, dists, weights, n, dist_mixture);
printf("%f\n", sum(dist_mixture, N)/N);
/* Toy example */
/* Declare variables in play */
double p_a, p_b, p_c;
double dist_none[N], dist_one[N], dist_few[N], dist_many[N], dist_mixture[N];
/* Clean up GSL */
gsl_rng_free (r);
/* Initialize variables */
p_a = 0.8;
p_b = 0.5;
p_c = p_a * p_b;
/* Return success*/
return EXIT_SUCCESS;
fill(dist_none, 0);
fill(dist_one, 1);
to(r, dist_few, 1, 3);
to(r, dist_many, 2, 10);
/* Generate mixture */
int n = 4;
double weights[] = { 1 - p_c, p_c / 2, p_c / 4, p_c / 4 };
double* dists[] = { dist_none, dist_one, dist_few, dist_many };
mixture(r, dists, weights, n, dist_mixture);
printf("%f\n", sum(dist_mixture, N) / N);
/* Clean up GSL */
gsl_rng_free(r);
/* Return success*/
return EXIT_SUCCESS;
}