tweak: cleanup.

C/samples/samples.c

@@ -74,7 +74,7 @@ void mixture(gsl_rng * r, double *dists[], double *weights, int n, double *resul
   double cummulative_weights[n];
   cumsum(normalized_weights, cummulative_weights, n);
   
-  /* Get N uniformly distributed vars */
+  /* 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);
@@ -98,8 +98,6 @@ void mixture(gsl_rng * r, double *dists[], double *weights, int n, double *resul
       results[i] = dists[index_counter][sample_index];
     }
   }
-
-
 }
 
 /* Main */

README.md

@@ -39,6 +39,9 @@ I was very surprised that Node/Squiggle code was almost as fast as the raw C cod
 
 The future of this project is uncertain. In most words, I simply forget about this repository.
 
+To do:
+- [ ] Check whether the Squiggle code is producing 1M samples.
+
 ## Other similar projects
 
 - Squigglepy: <https://github.com/rethinkpriorities/squigglepy>