add sampler, add normal cdf
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@ -3,6 +3,7 @@
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#include <stdio.h>
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#include <float.h> // FLT_MAX, FLT_MIN
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#include <limits.h> // INT_MAX
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#include <math.h>
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#define VERBOSE 1
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// to do: reuse more informative printing from build-your-own-lisp
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@ -42,6 +43,12 @@ float cdf_squared_0_1(float x){
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}
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}
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float cdf_normal_0_1(float x){
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float mean = 0;
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float std = 1;
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return 0.5 * ( 1 + erf((x-mean)/(std * sqrt(2)) ));
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}
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// Inverse cdf
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struct box inverse_cdf(float cdf(float), float p){
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// given a cdf: [-Inf, Inf] => [0,1]
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@ -124,8 +131,37 @@ struct box inverse_cdf(float cdf(float), float p){
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}
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// Get random number between 0 and 1
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uint32_t xorshift32
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(uint32_t* seed)
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{
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// Algorithm "xor" from p. 4 of Marsaglia, "Xorshift RNGs"
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// See <https://stackoverflow.com/questions/53886131/how-does-xorshift32-works>
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// https://en.wikipedia.org/wiki/Xorshift
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// Also some drama: <https://www.pcg-random.org/posts/on-vignas-pcg-critique.html>, <https://prng.di.unimi.it/>
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uint32_t x = *seed;
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x ^= x << 13;
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x ^= x >> 17;
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x ^= x << 5;
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return *seed = x;
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}
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// Distribution & sampling functions
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float rand_0_to_1(uint32_t* seed){
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return ((float) xorshift32(seed)) / ((float) UINT32_MAX);
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}
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// sampler based on inverse cdf
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// to-do: integrals
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struct box sampler(float cdf(float), uint32_t* seed){
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struct box result;
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float p = rand_0_to_1(seed);
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result = inverse_cdf(cdf, p);
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return result;
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}
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// to-do: integrals => beta distribution
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// main with an example
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int main(){
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@ -148,5 +184,9 @@ int main(){
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printf("Inverse of the cdf at %f is: %f\n", 0.5, result2.content);
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}
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// set randomness seed
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uint32_t* seed = malloc(sizeof(uint32_t));
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*seed = 1000; // xorshift can't start with 0
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return 0;
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}
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