Fixed logScoreAgainstImproperPrior by finding how it was None

Value: [1e-4 to 8e-2]

packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_GenericDistribution.res

@@ -160,16 +160,16 @@ module Helpers = {
   let constructNonNormalizedPointSet = (
     ~supportOf: DistributionTypes.genericDist,
     fn: float => float,
-  ): option<DistributionTypes.genericDist> => {
-    switch supportOf {
-    | PointSet(Continuous(dist)) =>
-      {xs: dist.xyShape.xs, ys: E.A.fmap(fn, dist.xyShape.xs)}
-      ->Continuous.make
-      ->Continuous
-      ->PointSet
-      ->Some
-    | _ => None
+  ): DistributionTypes.genericDist => {
+    let cdf = x => toFloatFn(#Cdf(x), supportOf)
+    let leftEndpoint = cdf(MagicNumbers.Epsilon.ten)
+    let rightEndpoint = cdf(1.0 -. MagicNumbers.Epsilon.ten)
+    let xs = switch (leftEndpoint, rightEndpoint) {
+    | (Some(Float(a)), Some(Float(b))) =>
+      E.A.Floats.range(a, b, MagicNumbers.Environment.defaultXYPointLength)
+    | _ => []
     }
+    {xs: xs, ys: E.A.fmap(fn, xs)}->Continuous.make->Continuous->DistributionTypes.PointSet
   }
 }
 
@@ -253,16 +253,18 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall, _environment)
     "logScore",
     [EvDistribution(prior), EvDistribution(prediction), EvDistribution(Symbolic(#Float(answer)))],
   ) =>
-    Some(runGenericOperation(FromDist(ToScore(LogScore(prediction, answer)), prior)))
+    runGenericOperation(FromDist(ToScore(LogScore(prediction, answer)), prior))->Some
   | ("logScoreAgainstImproperPrior", [EvDistribution(prediction), EvNumber(answer)])
   | (
     "logScoreAgainstImproperPrior",
     [EvDistribution(prediction), EvDistribution(Symbolic(#Float(answer)))],
   ) =>
-    E.O.fmap(
-      d => runGenericOperation(FromDist(ToScore(LogScore(prediction, answer)), d)),
-      Helpers.constructNonNormalizedPointSet(~supportOf=prediction, _ => 1.0),
-    )
+    runGenericOperation(
+      FromDist(
+        ToScore(LogScore(prediction, answer)),
+        Helpers.constructNonNormalizedPointSet(~supportOf=prediction, _ => 1.0),
+      ),
+    )->Some
   | ("isNormalized", [EvDistribution(dist)]) => Helpers.toBoolFn(IsNormalized, dist)
   | ("toPointSet", [EvDistribution(dist)]) => Helpers.toDistFn(ToPointSet, dist)
   | ("scaleLog", [EvDistribution(dist)]) =>