yarn format

packages/squiggle-lang/__tests__/Distributions/Invariants/Means_test.res

@@ -37,25 +37,24 @@ module Internals = {
   }
 
   let testOperationMean = (
-      distOp: (DistributionTypes.genericDist, DistributionTypes.genericDist) => result<DistributionTypes.genericDist, DistributionTypes.error>, 
+    distOp: (
+      DistributionTypes.genericDist,
+      DistributionTypes.genericDist,
+    ) => result<DistributionTypes.genericDist, DistributionTypes.error>,
     description: string,
     floatOp: (float, float) => float,
     dist1': SymbolicDistTypes.symbolicDist,
     dist2': SymbolicDistTypes.symbolicDist,
-      ~epsilon: float
+    ~epsilon: float,
   ) => {
     let dist1 = dist1'->DistributionTypes.Symbolic // ->DistributionTypes.Other
     let dist2 = dist2'->DistributionTypes.Symbolic // ->DistributionTypes.Other
     let received =
-      distOp(dist1, dist2)
+      distOp(dist1, dist2)->E.R2.fmap(mean)->E.R2.fmap(run)->E.R2.fmap(toFloat)->E.R.toExn
-      ->E.R2.fmap(mean)
-      ->E.R2.fmap(run)
-      ->E.R2.fmap(toFloat)
-      ->E.R.toExn
     let expected = floatOp(runMean(dist1), runMean(dist2))
     switch received {
     | None => expectImpossiblePath(description)
-    | Some(x) => expectErrorToBeBounded(x, expected, ~epsilon=epsilon)
+    | Some(x) => expectErrorToBeBounded(x, expected, ~epsilon)
     }
   }
 }
@@ -79,58 +78,67 @@ let algebraicPower = algebraicPower(~env)
 let {testOperationMean, distributions, pairsOfDifferentDistributions, epsilon} = module(Internals)
 
 describe("Means invariant", () => {
-
   describe("for addition", () => {
-    let testAdditionMean = testOperationMean(algebraicAdd, "algebraicAdd", \"+.", ~epsilon=epsilon)  
+    let testAdditionMean = testOperationMean(algebraicAdd, "algebraicAdd", \"+.", ~epsilon)
 
     testAll("of two of the same distribution", distributions, dist => {
-      E.R.liftM2(testAdditionMean, dist, dist) -> E.R.toExn
+      E.R.liftM2(testAdditionMean, dist, dist)->E.R.toExn
     })
 
     testAll("of two different distributions", pairsOfDifferentDistributions, dists => {
       let (dist1, dist2) = dists
-      E.R.liftM2(testAdditionMean, dist1, dist2) -> E.R.toExn
+      E.R.liftM2(testAdditionMean, dist1, dist2)->E.R.toExn
     })
 
     testAll("of two difference distributions", pairsOfDifferentDistributions, dists => {
       let (dist1, dist2) = dists
-      E.R.liftM2(testAdditionMean, dist2, dist1) -> E.R.toExn
+      E.R.liftM2(testAdditionMean, dist2, dist1)->E.R.toExn
     })
   })
 
   describe("for subtraction", () => {
-    let testSubtractionMean = testOperationMean(algebraicSubtract, "algebraicSubtract", \"-.", ~epsilon=epsilon)
+    let testSubtractionMean = testOperationMean(
+      algebraicSubtract,
+      "algebraicSubtract",
+      \"-.",
+      ~epsilon,
+    )
 
     testAll("of two of the same distribution", distributions, dist => {
-      E.R.liftM2(testSubtractionMean, dist, dist) -> E.R.toExn
+      E.R.liftM2(testSubtractionMean, dist, dist)->E.R.toExn
     })
 
     testAll("of two different distributions", pairsOfDifferentDistributions, dists => {
       let (dist1, dist2) = dists
-      E.R.liftM2(testSubtractionMean, dist1, dist2) -> E.R.toExn
+      E.R.liftM2(testSubtractionMean, dist1, dist2)->E.R.toExn
     })
 
     testAll("of two different distributions", pairsOfDifferentDistributions, dists => {
       let (dist1, dist2) = dists
-      E.R.liftM2(testSubtractionMean, dist2, dist1) -> E.R.toExn
+      E.R.liftM2(testSubtractionMean, dist2, dist1)->E.R.toExn
     })
   })
 
   describe("for multiplication", () => {
-    let testMultiplicationMean = testOperationMean(algebraicMultiply, "algebraicMultiply", \"*.", ~epsilon=epsilon)
+    let testMultiplicationMean = testOperationMean(
+      algebraicMultiply,
+      "algebraicMultiply",
+      \"*.",
+      ~epsilon,
+    )
 
     testAll("of two of the same distribution", distributions, dist => {
-      E.R.liftM2(testMultiplicationMean, dist, dist) -> E.R.toExn
+      E.R.liftM2(testMultiplicationMean, dist, dist)->E.R.toExn
     })
 
     testAll("of two different distributions", pairsOfDifferentDistributions, dists => {
       let (dist1, dist2) = dists
-      E.R.liftM2(testMultiplicationMean, dist1, dist2) -> E.R.toExn
+      E.R.liftM2(testMultiplicationMean, dist1, dist2)->E.R.toExn
     })
 
     testAll("of two different distributions", pairsOfDifferentDistributions, dists => {
       let (dist1, dist2) = dists
-      E.R.liftM2(testMultiplicationMean, dist2, dist1) -> E.R.toExn
+      E.R.liftM2(testMultiplicationMean, dist2, dist1)->E.R.toExn
     })
   })
 })

packages/squiggle-lang/__tests__/TestHelpers.res

@@ -8,7 +8,7 @@ let expectErrorToBeBounded = (received, expected, ~epsilon) => {
   } else {
     distance /. Js.Math.abs_float(expected)
   }
-  error -> expect -> toBeLessThan(epsilon)
+  error->expect->toBeLessThan(epsilon)
 }
 
 let makeTest = (~only=false, str, item1, item2) =>

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

@@ -117,7 +117,8 @@ module Helpers = {
         | Error(err) => GenDistError(ArgumentError(err))
         }
       }
-    | Some(EvDistribution(b)) => switch parseDistributionArray(args) {
+    | Some(EvDistribution(b)) =>
+      switch parseDistributionArray(args) {
       | Ok(distributions) => mixtureWithDefaultWeights(distributions)
       | Error(err) => GenDistError(ArgumentError(err))
       }