reformat, move to using arrays instead of list.

ocaml/samples.ml

@@ -3,12 +3,12 @@ let pi = acos (-1.)
 let normal_95_ci_length = 1.6448536269514722
 
 (* Array manipulation helpers *)
-let sumFloats xs = List.fold_left(fun acc x -> acc +. x) 0.0 xs
+let sumFloats xs = Array.fold_left(fun acc x -> acc +. x) 0.0 xs
 let normalizeXs xs = 
   let sum_xs = sumFloats xs in 
-  List.map(fun x -> x /. sum_xs) xs
+  Array.map(fun x -> x /. sum_xs) xs
 let cumsumXs xs = 
-  let _, cum_sum = List.fold_left(fun (sum, ys) x -> 
+  let _, cum_sum = Array.fold_left(fun (sum, ys) x -> 
     let new_sum = sum +. x in
     new_sum, ys @ [new_sum]
   ) (0.0, []) xs in
@@ -16,28 +16,33 @@ let cumsumXs xs =
 
 (* Basic samplers *)
 let sampleZeroToOne () : float = Random.float 1.0
+
 let sampleStandardNormal (): float = 
   let u1 = sampleZeroToOne () in 
   let u2 = sampleZeroToOne () in 
   let z = sqrt(-2.0 *. log(u1)) *. sin(2.0 *. pi *. u2) in 
   z
+
 let sampleNormal mean std = mean +. std *. (sampleStandardNormal ())
+
 let sampleLognormal logmean logstd = exp(sampleNormal logmean logstd)
+
 let sampleTo low high = 
   let loglow = log(low) in
   let loghigh = log(high) in
   let logmean = (loglow +. loghigh) /. 2.0 in
   let logstd = (loghigh -. loglow) /. (2.0 -. normal_95_ci_length ) in
   sampleLognormal logmean logstd
-let mixture (samplers: (unit -> float) list) (weights: float list) = 
+
-  match (List.length samplers == List.length weights) with
+let mixture (samplers: (unit -> float) array) (weights: float array) = 
+  match (Array.length samplers == Array.length weights) with
     | false -> None
     | true -> 
         let normalized_weights = normalizeXs weights in
         let cumsummed_normalized_weights = cumsumXs normalized_weights in
+        let answer = 1.1 in
         Some(1.0)
 
-
 let () =
   Random.init 1;
   Printf.printf "%f\n" (sampleZeroToOne());