tweak: cleanup.
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@ -74,7 +74,7 @@ void mixture(gsl_rng * r, double *dists[], double *weights, int n, double *resul
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double cummulative_weights[n];
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cumsum(normalized_weights, cummulative_weights, n);
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/* Get N uniformly distributed vars */
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/* Get N samples, drawn from the different distributions in proportion to their weights. */
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for(int i=0; i<N; i++){
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double p_1 = gsl_rng_uniform(r);
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double p_2 = gsl_rng_uniform(r);
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@ -98,8 +98,6 @@ void mixture(gsl_rng * r, double *dists[], double *weights, int n, double *resul
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results[i] = dists[index_counter][sample_index];
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}
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}
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}
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/* Main */
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@ -128,7 +126,7 @@ int main(void){
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/* Generate mixture */
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int n = 4;
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double weights[] = { 1 - p_c, p_c/2, p_c/4, p_c/4};
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double weights[] = { 1 - p_c, p_c/2, p_c/4, p_c/4 };
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double *dists[] = { dist_none, dist_one, dist_few, dist_many };
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mixture(r, dists, weights, n, dist_mixture);
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@ -39,6 +39,9 @@ I was very surprised that Node/Squiggle code was almost as fast as the raw C cod
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The future of this project is uncertain. In most words, I simply forget about this repository.
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To do:
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- [ ] Check whether the Squiggle code is producing 1M samples.
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## Other similar projects
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- Squigglepy: <https://github.com/rethinkpriorities/squigglepy>
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