format rescript

packages/squiggle-lang/__tests__/Distributions/Dotwise_test.res

@@ -32,7 +32,10 @@ describe("dotSubtract", () => {
  */
   Skip.test("mean of normal minus exponential (property)", () => {
     assert_(
-      property2(float_(), floatRange(1e-5, 1e5), (mean, rate) => {
+      property2(
+        float_(),
+        floatRange(1e-5, 1e5),
+        (mean, rate) => {
           // We limit ourselves to stdev=1 so that the integral is trivial
           let dotDifference = DistributionOperation.Constructors.pointwiseSubtract(
             ~env,
@@ -50,7 +53,8 @@ describe("dotSubtract", () => {
           | Ok(meanValue) => abs_float(meanValue -. meanAnalytical) /. abs_float(meanValue) < 1e-2 // 1% relative error
           | Error(err) => err === DistributionTypes.OperationError(DivisionByZeroError)
           }
-      }),
+        },
+      ),
     )
     pass
   })

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

@@ -40,7 +40,9 @@ let algebraicPower = algebraicPower(~env)
 
 describe("(Algebraic) addition of distributions", () => {
   describe("mean", () => {
-    test("normal(mean=5) + normal(mean=20)", () => {
+    test(
+      "normal(mean=5) + normal(mean=20)",
+      () => {
         normalDist5
         ->algebraicAdd(normalDist20)
         ->E.R2.fmap(DistributionTypes.Constructors.UsingDists.mean)
@@ -49,9 +51,12 @@ describe("(Algebraic) addition of distributions", () => {
         ->E.R.toExn("Expected float", _)
         ->expect
         ->toBe(Some(2.5e1))
-    })
+      },
+    )
 
-    test("uniform(low=9, high=10) + beta(alpha=2, beta=5)", () => {
+    test(
+      "uniform(low=9, high=10) + beta(alpha=2, beta=5)",
+      () => {
         // let uniformMean = (9.0 +. 10.0) /. 2.0
         // let betaMean = 1.0 /. (1.0 +. 5.0 /. 2.0)
         let received =
@@ -67,8 +72,11 @@ describe("(Algebraic) addition of distributions", () => {
         // sometimes it works with ~digits=2.
         | Some(x) => x->expect->toBeSoCloseTo(9.786831807237022, ~digits=1) // (uniformMean +. betaMean)
         }
-    })
+      },
-    test("beta(alpha=2, beta=5) + uniform(low=9, high=10)", () => {
+    )
+    test(
+      "beta(alpha=2, beta=5) + uniform(low=9, high=10)",
+      () => {
         // let uniformMean = (9.0 +. 10.0) /. 2.0
         // let betaMean = 1.0 /. (1.0 +. 5.0 /. 2.0)
         let received =
@@ -84,7 +92,8 @@ describe("(Algebraic) addition of distributions", () => {
         // sometimes it works with ~digits=2.
         | Some(x) => x->expect->toBeSoCloseTo(9.784290207736126, ~digits=1) // (uniformMean +. betaMean)
         }
-    })
+      },
+    )
   })
   describe("pdf", () => {
     // TEST IS WRONG. SEE STDEV ADDITION EXPRESSION.
@@ -122,7 +131,9 @@ describe("(Algebraic) addition of distributions", () => {
         }
       },
     )
-    test("(normal(mean=10) + normal(mean=10)).pdf(1.9e1)", () => {
+    test(
+      "(normal(mean=10) + normal(mean=10)).pdf(1.9e1)",
+      () => {
         let received =
           normalDist20
           ->Ok
@@ -150,8 +161,11 @@ describe("(Algebraic) addition of distributions", () => {
           | Some(y) => x->expect->toBeSoCloseTo(y, ~digits=1)
           }
         }
-    })
+      },
-    test("(uniform(low=9, high=10) + beta(alpha=2, beta=5)).pdf(10)", () => {
+    )
+    test(
+      "(uniform(low=9, high=10) + beta(alpha=2, beta=5)).pdf(10)",
+      () => {
         let received =
           uniformDist
           ->algebraicAdd(betaDist)
@@ -166,8 +180,11 @@ describe("(Algebraic) addition of distributions", () => {
         // This value was calculated by a python script
         | Some(x) => x->expect->toBeSoCloseTo(0.979023, ~digits=0)
         }
-    })
+      },
-    test("(beta(alpha=2, beta=5) + uniform(low=9, high=10)).pdf(10)", () => {
+    )
+    test(
+      "(beta(alpha=2, beta=5) + uniform(low=9, high=10)).pdf(10)",
+      () => {
         let received =
           betaDist
           ->algebraicAdd(uniformDist)
@@ -180,10 +197,14 @@ describe("(Algebraic) addition of distributions", () => {
         // This is nondeterministic.
         | Some(x) => x->expect->toBeSoCloseTo(0.979023, ~digits=0)
         }
-    })
+      },
+    )
   })
   describe("cdf", () => {
-    testAll("(normal(mean=5) + normal(mean=5)).cdf (imprecise)", list{6e0, 8e0, 1e1, 1.2e1}, x => {
+    testAll(
+      "(normal(mean=5) + normal(mean=5)).cdf (imprecise)",
+      list{6e0, 8e0, 1e1, 1.2e1},
+      x => {
         let received =
           normalDist10
           ->Ok
@@ -212,8 +233,11 @@ describe("(Algebraic) addition of distributions", () => {
           | Some(y) => x->expect->toBeSoCloseTo(y, ~digits=0)
           }
         }
-    })
+      },
-    test("(normal(mean=10) + normal(mean=10)).cdf(1.25e1)", () => {
+    )
+    test(
+      "(normal(mean=10) + normal(mean=10)).cdf(1.25e1)",
+      () => {
         let received =
           normalDist20
           ->Ok
@@ -241,8 +265,11 @@ describe("(Algebraic) addition of distributions", () => {
           | Some(y) => x->expect->toBeSoCloseTo(y, ~digits=2)
           }
         }
-    })
+      },
-    test("(uniform(low=9, high=10) + beta(alpha=2, beta=5)).cdf(10)", () => {
+    )
+    test(
+      "(uniform(low=9, high=10) + beta(alpha=2, beta=5)).cdf(10)",
+      () => {
         let received =
           uniformDist
           ->algebraicAdd(betaDist)
@@ -256,8 +283,11 @@ describe("(Algebraic) addition of distributions", () => {
         // The value was calculated externally using a python script
         | Some(x) => x->expect->toBeSoCloseTo(0.71148, ~digits=1)
         }
-    })
+      },
-    test("(beta(alpha=2, beta=5) + uniform(low=9, high=10)).cdf(10)", () => {
+    )
+    test(
+      "(beta(alpha=2, beta=5) + uniform(low=9, high=10)).cdf(10)",
+      () => {
         let received =
           betaDist
           ->algebraicAdd(uniformDist)
@@ -271,11 +301,15 @@ describe("(Algebraic) addition of distributions", () => {
         // The value was calculated externally using a python script
         | Some(x) => x->expect->toBeSoCloseTo(0.71148, ~digits=1)
         }
-    })
+      },
+    )
   })
 
   describe("inv", () => {
-    testAll("(normal(mean=5) + normal(mean=5)).inv (imprecise)", list{5e-2, 4.2e-3, 9e-3}, x => {
+    testAll(
+      "(normal(mean=5) + normal(mean=5)).inv (imprecise)",
+      list{5e-2, 4.2e-3, 9e-3},
+      x => {
         let received =
           normalDist10
           ->Ok
@@ -304,8 +338,11 @@ describe("(Algebraic) addition of distributions", () => {
           | Some(y) => x->expect->toBeSoCloseTo(y, ~digits=-1)
           }
         }
-    })
+      },
-    test("(normal(mean=10) + normal(mean=10)).inv(1e-1)", () => {
+    )
+    test(
+      "(normal(mean=10) + normal(mean=10)).inv(1e-1)",
+      () => {
         let received =
           normalDist20
           ->Ok
@@ -333,8 +370,11 @@ describe("(Algebraic) addition of distributions", () => {
           | Some(y) => x->expect->toBeSoCloseTo(y, ~digits=-1)
           }
         }
-    })
+      },
-    test("(uniform(low=9, high=10) + beta(alpha=2, beta=5)).inv(2e-2)", () => {
+    )
+    test(
+      "(uniform(low=9, high=10) + beta(alpha=2, beta=5)).inv(2e-2)",
+      () => {
         let received =
           uniformDist
           ->algebraicAdd(betaDist)
@@ -348,8 +388,11 @@ describe("(Algebraic) addition of distributions", () => {
         // sometimes it works with ~digits=2.
         | Some(x) => x->expect->toBeSoCloseTo(9.179319623146968, ~digits=0)
         }
-    })
+      },
-    test("(beta(alpha=2, beta=5) + uniform(low=9, high=10)).inv(2e-2)", () => {
+    )
+    test(
+      "(beta(alpha=2, beta=5) + uniform(low=9, high=10)).inv(2e-2)",
+      () => {
         let received =
           betaDist
           ->algebraicAdd(uniformDist)
@@ -363,6 +406,7 @@ describe("(Algebraic) addition of distributions", () => {
         // sometimes it works with ~digits=2.
         | Some(x) => x->expect->toBeSoCloseTo(9.190872365862756, ~digits=0)
         }
-    })
+      },
+    )
   })
 })

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

@@ -87,14 +87,22 @@ describe("Means are invariant", () => {
     let testAddInvariant = (t1, t2) =>
       E.R.liftM2(testAdditionMean, t1, t2)->E.R.toExn("Means were not invariant", _)
 
-    testAll("with two of the same distribution", distributions, dist => {
+    testAll(
+      "with two of the same distribution",
+      distributions,
+      dist => {
         testAddInvariant(dist, dist)
-    })
+      },
+    )
 
-    testAll("with two different distributions", pairsOfDifferentDistributions, dists => {
+    testAll(
+      "with two different distributions",
+      pairsOfDifferentDistributions,
+      dists => {
         let (dist1, dist2) = dists
         testAddInvariant(dist1, dist2)
-    })
+      },
+    )
 
     testAll(
       "with two different distributions in swapped order",
@@ -116,14 +124,22 @@ describe("Means are invariant", () => {
     let testSubtractInvariant = (t1, t2) =>
       E.R.liftM2(testSubtractionMean, t1, t2)->E.R.toExn("Means were not invariant", _)
 
-    testAll("with two of the same distribution", distributions, dist => {
+    testAll(
+      "with two of the same distribution",
+      distributions,
+      dist => {
         testSubtractInvariant(dist, dist)
-    })
+      },
+    )
 
-    testAll("with two different distributions", pairsOfDifferentDistributions, dists => {
+    testAll(
+      "with two different distributions",
+      pairsOfDifferentDistributions,
+      dists => {
         let (dist1, dist2) = dists
         testSubtractInvariant(dist1, dist2)
-    })
+      },
+    )
 
     testAll(
       "with two different distributions in swapped order",
@@ -145,14 +161,22 @@ describe("Means are invariant", () => {
     let testMultiplicationInvariant = (t1, t2) =>
       E.R.liftM2(testMultiplicationMean, t1, t2)->E.R.toExn("Means were not invariant", _)
 
-    testAll("with two of the same distribution", distributions, dist => {
+    testAll(
+      "with two of the same distribution",
+      distributions,
+      dist => {
         testMultiplicationInvariant(dist, dist)
-    })
+      },
+    )
 
-    testAll("with two different distributions", pairsOfDifferentDistributions, dists => {
+    testAll(
+      "with two different distributions",
+      pairsOfDifferentDistributions,
+      dists => {
         let (dist1, dist2) = dists
         testMultiplicationInvariant(dist1, dist2)
-    })
+      },
+    )
 
     testAll(
       "with two different distributions in swapped order",

packages/squiggle-lang/__tests__/Distributions/Scoring/KlDivergence_test.res

@@ -17,10 +17,9 @@ describe("klDivergence: continuous -> continuous -> float", () => {
       let answer =
         uniformMakeR(lowAnswer, highAnswer)->E.R2.errMap(s => DistributionTypes.ArgumentError(s))
       let prediction =
-        uniformMakeR(
+        uniformMakeR(lowPrediction, highPrediction)->E.R2.errMap(
-          lowPrediction,
+          s => DistributionTypes.ArgumentError(s),
-          highPrediction,
+        )
-        )->E.R2.errMap(s => DistributionTypes.ArgumentError(s))
       // integral along the support of the answer of answer.pdf(x) times log of prediction.pdf(x) divided by answer.pdf(x) dx
       let analyticalKl = Js.Math.log((highPrediction -. lowPrediction) /. (highAnswer -. lowAnswer))
       let kl = E.R.liftJoin2(klDivergence, prediction, answer)
@@ -183,9 +182,9 @@ describe("combineAlongSupportOfSecondArgument0", () => {
     let answer =
       uniformMakeR(lowAnswer, highAnswer)->E.R2.errMap(s => DistributionTypes.ArgumentError(s))
     let prediction =
-      uniformMakeR(lowPrediction, highPrediction)->E.R2.errMap(s => DistributionTypes.ArgumentError(
+      uniformMakeR(lowPrediction, highPrediction)->E.R2.errMap(
-        s,
+        s => DistributionTypes.ArgumentError(s),
-      ))
+      )
     let answerWrapped = E.R.fmap(a => run(FromDist(#ToDist(ToPointSet), a)), answer)
     let predictionWrapped = E.R.fmap(a => run(FromDist(#ToDist(ToPointSet), a)), prediction)
 

packages/squiggle-lang/__tests__/Distributions/Symbolic_test.res

@@ -3,7 +3,7 @@ open Expect
 open TestHelpers
 
 // TODO: use Normal.make (but preferably after teh new validation dispatch is in)
-let mkNormal = (mean, stdev) => DistributionTypes.Symbolic(#Normal({mean: mean, stdev: stdev}))
+let mkNormal = (mean, stdev) => DistributionTypes.Symbolic(#Normal({mean, stdev}))
 
 describe("(Symbolic) normalize", () => {
   testAll("has no impact on normal distributions", list{-1e8, -1e-2, 0.0, 1e-4, 1e16}, mean => {
@@ -47,10 +47,7 @@ describe("(Symbolic) mean", () => {
     tup => {
       let (low, medium, high) = tup
       let meanValue = run(
-        FromDist(
+        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Triangular({low, medium, high}))),
-          #ToFloat(#Mean),
-          DistributionTypes.Symbolic(#Triangular({low: low, medium: medium, high: high})),
-        ),
       )
       meanValue->unpackFloat->expect->toBeCloseTo((low +. medium +. high) /. 3.0) // https://www.statology.org/triangular-distribution/
     },
@@ -63,7 +60,7 @@ describe("(Symbolic) mean", () => {
     tup => {
       let (alpha, beta) = tup
       let meanValue = run(
-        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Beta({alpha: alpha, beta: beta}))),
+        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Beta({alpha, beta}))),
       )
       meanValue->unpackFloat->expect->toBeCloseTo(1.0 /. (1.0 +. beta /. alpha)) // https://en.wikipedia.org/wiki/Beta_distribution#Mean
     },
@@ -84,8 +81,8 @@ describe("(Symbolic) mean", () => {
       let (mean, stdev) = tup
       let betaDistribution = SymbolicDist.Beta.fromMeanAndStdev(mean, stdev)
       let meanValue =
-        betaDistribution->E.R2.fmap(d =>
+        betaDistribution->E.R2.fmap(
-          run(FromDist(#ToFloat(#Mean), d->DistributionTypes.Symbolic))
+          d => run(FromDist(#ToFloat(#Mean), d->DistributionTypes.Symbolic)),
         )
       switch meanValue {
       | Ok(value) => value->unpackFloat->expect->toBeCloseTo(mean)
@@ -100,7 +97,7 @@ describe("(Symbolic) mean", () => {
     tup => {
       let (mu, sigma) = tup
       let meanValue = run(
-        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Lognormal({mu: mu, sigma: sigma}))),
+        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Lognormal({mu, sigma}))),
       )
       meanValue->unpackFloat->expect->toBeCloseTo(Js.Math.exp(mu +. sigma ** 2.0 /. 2.0)) // https://brilliant.org/wiki/log-normal-distribution/
     },
@@ -112,7 +109,7 @@ describe("(Symbolic) mean", () => {
     tup => {
       let (low, high) = tup
       let meanValue = run(
-        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Uniform({low: low, high: high}))),
+        FromDist(#ToFloat(#Mean), DistributionTypes.Symbolic(#Uniform({low, high}))),
       )
       meanValue->unpackFloat->expect->toBeCloseTo((low +. high) /. 2.0) // https://en.wikipedia.org/wiki/Continuous_uniform_distribution#Moments
     },

packages/squiggle-lang/__tests__/Reducer/Reducer_Bindings/Reducer_Bindings_test.res

@@ -33,12 +33,18 @@ describe("Bindings", () => {
     let value2 = Reducer_T.IEvNumber(5.)
     let extendedBindings = bindings->Bindings.extend->Bindings.set("value", value2)
 
-    test("get on extended", () => {
+    test(
+      "get on extended",
+      () => {
         expect(extendedBindings->Bindings.get("value")) == Some(value2)
-    })
+      },
+    )
 
-    test("get on original", () => {
+    test(
+      "get on original",
+      () => {
         expect(bindings->Bindings.get("value")) == Some(value)
-    })
+      },
+    )
   })
 })

packages/squiggle-lang/__tests__/Reducer/Reducer_Namespace_test.res

@@ -40,14 +40,23 @@ describe("Namespace", () => {
 
     let nsMerged = Namespace.mergeMany([ns, ns1, ns2])
 
-    test("merge many 1", () => {
+    test(
+      "merge many 1",
+      () => {
         expect(nsMerged->Namespace.get("x1")) == Some(x1)
-    })
+      },
-    test("merge many 2", () => {
+    )
+    test(
+      "merge many 2",
+      () => {
         expect(nsMerged->Namespace.get("x4")) == Some(x4)
-    })
+      },
-    test("merge many 3", () => {
+    )
+    test(
+      "merge many 3",
+      () => {
         expect(nsMerged->Namespace.get("value")) == Some(value)
-    })
+      },
+    )
   })
 })

packages/squiggle-lang/__tests__/Reducer/Reducer_Peggy/Reducer_Peggy_ToExpression_test.res

@@ -75,7 +75,9 @@ describe("Peggy to Expression", () => {
     testToExpression("false ? 1 : 0", "false ? (1) : (0)", ~v="0", ())
     testToExpression("true ? 1 : false ? 2 : 0", "true ? (1) : (false ? (2) : (0))", ~v="1", ()) // nested ternary
     testToExpression("false ? 1 : false ? 2 : 0", "false ? (1) : (false ? (2) : (0))", ~v="0", ()) // nested ternary
-    describe("ternary bindings", () => {
+    describe(
+      "ternary bindings",
+      () => {
         testToExpression(
           // expression binding
           "f(a) = a > 5 ? 1 : 0; f(6)",
@@ -97,7 +99,8 @@ describe("Peggy to Expression", () => {
           ~v="6",
           (),
         )
-    })
+      },
+    )
   })
 
   describe("if then else", () => {

packages/squiggle-lang/__tests__/Reducer/Reducer_test.res

@@ -37,14 +37,16 @@ describe("eval", () => {
     test("index", () => expectEvalToBe("r = {a: 1}; r.a", "Ok(1)"))
     test("index", () => expectEvalToBe("r = {a: 1}; r.b", "Error(Record property not found: b)"))
     testEvalError("{a: 1}.b") // invalid syntax
-    test("always the same property ending", () =>
+    test(
+      "always the same property ending",
+      () =>
         expectEvalToBe(
           `{
       a: 1, 
       b: 2,
     }`,
           "Ok({a: 1,b: 2})",
-      )
+        ),
     )
   })
 

packages/squiggle-lang/__tests__/ReducerProject/ReducerProject_tutorial_1_test.res

@@ -11,7 +11,9 @@ describe("ReducerProject Tutorial", () => {
     /*
 Case "Running a single source". 
 */
-    test("run", () => {
+    test(
+      "run",
+      () => {
         /* Let's start with running a single source and getting Result as well as the Bindings 
        First you need to create a project. A project is a collection of sources. 
        Project takes care of the dependencies between the sources, correct compilation and run order. 
@@ -51,9 +53,12 @@ Case "Running a single source".
         (result->Reducer_Value.toStringResult, bindings->Reducer_Value.toStringRecord)->expect ==
           ("Ok(3)", "{}")
         /* You've got 3 with empty bindings. */
-    })
+      },
+    )
 
-    test("run summary", () => {
+    test(
+      "run summary",
+      () => {
         let project = Project.createProject()
         project->Project.setSource("main", "1 + 2")
         project->Project.runAll
@@ -64,9 +69,12 @@ Case "Running a single source".
           result->Reducer_Value.toStringResult,
           bindings->Reducer_T.IEvRecord->Reducer_Value.toString,
         )->expect == ("Ok(3)", "{}")
-    })
+      },
+    )
 
-    test("run with an environment", () => {
+    test(
+      "run with an environment",
+      () => {
         /* Running the source code like above allows you to set a custom environment */
         let project = Project.createProject()
 
@@ -78,15 +86,19 @@ Case "Running a single source".
         let result = project->Project.getResult("main")
         let _bindings = project->Project.getBindings("main")
         result->Reducer_Value.toStringResult->expect == "Ok(3)"
-    })
+      },
+    )
 
-    test("shortcut", () => {
+    test(
+      "shortcut",
+      () => {
         /* If you are running single source without includes and you don't need a custom environment, you can use the shortcut. */
         /* Examples above was to prepare you for the multi source tutorial. */
         let (result, bindings) = Project.evaluate("1+2")
         (result->Reducer_Value.toStringResult, bindings->Reducer_Value.toStringRecord)->expect ==
           ("Ok(3)", "{}")
-    })
+      },
+    )
   })
 })
 

packages/squiggle-lang/__tests__/ReducerProject/ReducerProject_tutorial_2_multisource_test.res

@@ -10,7 +10,9 @@ describe("ReducerProject Tutorial", () => {
   describe("Multi source", () => {
     /*
      Case "Running multiple sources" */
-    test("Chaining", () => {
+    test(
+      "Chaining",
+      () => {
         let project = Project.createProject()
         /* This time let's add 3 sources and chain them together */
         project->Project.setSource("source1", "x=1")
@@ -32,9 +34,12 @@ describe("ReducerProject Tutorial", () => {
 
         (result3->Reducer_Value.toStringResult, bindings3->Reducer_Value.toStringRecord)->expect ==
           ("Ok(())", "{z: 3}")
-    })
+      },
+    )
 
-    test("Depending", () => {
+    test(
+      "Depending",
+      () => {
         /* Instead of chaining the sources, we could have a dependency tree */
         /* The point here is that any source can depend on multiple sources */
         let project = Project.createProject()
@@ -56,9 +61,12 @@ describe("ReducerProject Tutorial", () => {
 
         (result3->Reducer_Value.toStringResult, bindings3->Reducer_Value.toStringRecord)->expect ==
           ("Ok(())", "{z: 3}")
-    })
+      },
+    )
 
-    test("Intro to including", () => {
+    test(
+      "Intro to including",
+      () => {
         /* Though it would not be practical for a storybook, 
         let's write the same project above with includes.
         You will see that parsing includes is setting the dependencies the same way as before. */
@@ -99,6 +107,7 @@ describe("ReducerProject Tutorial", () => {
          - And the depended source1 and source2 is not already there in the project
          - If you knew the includes before hand there would not be point of the include directive.
          More on those on the next section. */
-    })
+      },
+    )
   })
 })

packages/squiggle-lang/__tests__/ReducerProject/ReducerProject_tutorial_3_includes_test.res

@@ -24,15 +24,20 @@ Here we will finally proceed to a real life scenario. */
     )
     /* We need to parse includes after changing the source */
     project->Project.parseIncludes("main")
-    test("getDependencies", () => {
+    test(
+      "getDependencies",
+      () => {
         /* Parse includes has set the dependencies */
         project->Project.getDependencies("main")->expect == ["common"]
         /* If there were no includes than there would be no dependencies */
         /* However if there was a syntax error at includes then would be no dependencies also */
         /* Therefore looking at dependencies is not the right way to load includes */
         /* getDependencies does not distinguish between setContinues or parseIncludes */
-    })
+      },
-    test("getIncludes", () => {
+    )
+    test(
+      "getIncludes",
+      () => {
         /* Parse includes has set the includes */
         switch project->Project.getIncludes("main") {
         | Ok(includes) => includes->expect == ["common"]
@@ -42,17 +47,23 @@ Here we will finally proceed to a real life scenario. */
       Otherwise you get the includes.
       If there is no syntax error then you can load that file and use setSource to add it to the project.
       And so on recursively... */
-    })
+      },
-    test("getDependents", () => {
+    )
+    test(
+      "getDependents",
+      () => {
         /* For any reason, you are able to query what other sources
         include or depend on the current source.
         But you don't need to use this to execute the projects.
         It is provided for completeness of information. */
         project->Project.getDependents("main")->expect == []
         /* Nothing is depending on or including main */
-    })
+      },
+    )
 
-    describe("Real Like", () => {
+    describe(
+      "Real Like",
+      () => {
         /* Now let's look at recursive and possibly cyclic includes */
         /* There is no function provided to load the include files.
     Because we have no idea if will it be an ordinary function or will it use promises.
@@ -88,7 +99,8 @@ Here we will finally proceed to a real life scenario. */
             | Error(err) => err->SqError.toString->Js.Exn.raiseError
 
             | Ok(includes) =>
-            includes->Belt.Array.forEach(newIncludeName => {
+              includes->Belt.Array.forEach(
+                newIncludeName => {
                   /* We have got one of the new includes.
                    Let's load it and add it to the project */
                   let newSource = loadSource(newIncludeName)
@@ -97,7 +109,8 @@ Here we will finally proceed to a real life scenario. */
                   /* Of course the new source might have includes too. */
                   /* Let's recursively load them */
                   project->loadIncludesRecursively(newIncludeName, newVisited)
-            })
+                },
+              )
             }
           }
         }
@@ -143,12 +156,18 @@ Here we will finally proceed to a real life scenario. */
         let result = project->Project.getResult("main")
         let bindings = project->Project.getBindings("main")
         /* And see the result and bindings.. */
-      test("recursive includes", () => {
+        test(
-        (result->Reducer_Value.toStringResult, bindings->Reducer_Value.toStringRecord)->expect ==
+          "recursive includes",
-          ("Ok(6)", "{a: 6,b: 2}")
+          () => {
+            (
+              result->Reducer_Value.toStringResult,
+              bindings->Reducer_Value.toStringRecord,
+            )->expect == ("Ok(6)", "{a: 6,b: 2}")
             /* Everything as expected */
-      })
+          },
-    })
+        )
+      },
+    )
   })
 
   describe("Includes myFile as myVariable", () => {
@@ -163,14 +182,20 @@ Here we will finally proceed to a real life scenario. */
     `,
     )
     Project.parseIncludes(project, "main")
-    test("getDependencies", () => {
+    test(
+      "getDependencies",
+      () => {
         Project.getDependencies(project, "main")->expect == ["common"]
-    })
+      },
-    test("getIncludes", () => {
+    )
+    test(
+      "getIncludes",
+      () => {
         switch Project.getIncludes(project, "main") {
         | Ok(includes) => includes->expect == ["common"]
         | Error(err) => err->SqError.toString->fail
         }
-    })
+      },
+    )
   })
 })

packages/squiggle-lang/__tests__/ReducerProject/ReducerProject_tutorial_5_calling_functions.res

@@ -30,8 +30,9 @@ describe("ReducerProject Tutorial", () => {
   })
 
   test("userResults", () => {
-    let userResultsAsString = Belt.Array.map(userResults, aResult =>
+    let userResultsAsString = Belt.Array.map(
-      aResult->Reducer_Value.toStringResult
+      userResults,
+      aResult => aResult->Reducer_Value.toStringResult,
     )
     userResultsAsString->expect == ["Ok(2)", "Ok(4)", "Ok(6)", "Ok(8)", "Ok(10)"]
   })

packages/squiggle-lang/__tests__/SquiggleLibrary/SquiggleLibrary_FunctionRegistryLibrary_test.res

@@ -99,15 +99,19 @@ describe("FunctionRegistry Library", () => {
   })
 
   describe("Fn auto-testing", () => {
-    testAll("tests of validity", examples, r => {
+    testAll(
+      "tests of validity",
+      examples,
+      r => {
         expectEvalToBeOk(r)
-    })
+      },
+    )
 
     testAll(
       "tests of type",
       E.A.to_list(
-        FunctionRegistry_Core.Registry.allExamplesWithFns(registry)->E.A2.filter(((fn, _)) =>
+        FunctionRegistry_Core.Registry.allExamplesWithFns(registry)->E.A2.filter(
-          E.O.isSome(fn.output)
+          ((fn, _)) => E.O.isSome(fn.output),
         ),
       ),
       ((fn, example)) => {

packages/squiggle-lang/__tests__/TestHelpers.res

@@ -45,12 +45,12 @@ let toExtDist: option<DistributionTypes.genericDist> => DistributionTypes.generi
 let unpackFloat = x => x->toFloat->toExtFloat
 let unpackDist = y => y->toDist->toExtDist
 
-let mkNormal = (mean, stdev) => DistributionTypes.Symbolic(#Normal({mean: mean, stdev: stdev}))
+let mkNormal = (mean, stdev) => DistributionTypes.Symbolic(#Normal({mean, stdev}))
-let mkBeta = (alpha, beta) => DistributionTypes.Symbolic(#Beta({alpha: alpha, beta: beta}))
+let mkBeta = (alpha, beta) => DistributionTypes.Symbolic(#Beta({alpha, beta}))
 let mkExponential = rate => DistributionTypes.Symbolic(#Exponential({rate: rate}))
-let mkUniform = (low, high) => DistributionTypes.Symbolic(#Uniform({low: low, high: high}))
+let mkUniform = (low, high) => DistributionTypes.Symbolic(#Uniform({low, high}))
-let mkCauchy = (local, scale) => DistributionTypes.Symbolic(#Cauchy({local: local, scale: scale}))
+let mkCauchy = (local, scale) => DistributionTypes.Symbolic(#Cauchy({local, scale}))
-let mkLognormal = (mu, sigma) => DistributionTypes.Symbolic(#Lognormal({mu: mu, sigma: sigma}))
+let mkLognormal = (mu, sigma) => DistributionTypes.Symbolic(#Lognormal({mu, sigma}))
 let mkDelta = x => DistributionTypes.Symbolic(#Float(x))
 
 let normalMake = SymbolicDist.Normal.make

packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.res

@@ -141,6 +141,7 @@ let rec run = (~env: env, functionCallInfo: functionCallInfo): outputType => {
         Js.log2("Console log requested: ", dist)
         Dist(dist)
       }
+
     | #ToDist(Normalize) => dist->GenericDist.normalize->Dist
     | #ToScore(LogScore(answer, prior)) =>
       GenericDist.Score.logScore(~estimate=dist, ~answer, ~prior, ~env)

packages/squiggle-lang/src/rescript/Distributions/GenericDist.res

@@ -99,6 +99,7 @@ let toFloatOperation = (
         }
       }
     }
+
   | (#Stdev | #Variance | #Mode) as op =>
     switch t {
     | SampleSet(s) =>
@@ -129,7 +130,7 @@ let toPointSet = (
     SampleSetDist.toPointSetDist(
       ~samples=r,
       ~samplingInputs={
-        sampleCount: sampleCount,
+        sampleCount,
         outputXYPoints: xyPointLength,
         pointSetDistLength: xyPointLength,
         kernelWidth: None,
@@ -427,6 +428,7 @@ module AlgebraicCombination = {
           ~toSampleSetFn,
         )
       }
+
     | (None, AsMonteCarlo) =>
       StrategyCallOnValidatedInputs.monteCarlo(toSampleSetFn, arithmeticOperation, t1, t2)
     | (None, AsSymbolic) =>
@@ -443,6 +445,7 @@ module AlgebraicCombination = {
             )}`
           Error(RequestedStrategyInvalidError(errString))
         }
+
       | Some(convOp) => StrategyCallOnValidatedInputs.convolution(toPointSetFn, convOp, t1, t2)
       }
     }

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/AlgebraicShapeCombination.res

@@ -69,7 +69,7 @@ let toDiscretePointMassesFromTriangulars = (
       ()
     }
 
-    {n: n - 2, masses: masses, means: means, variances: variances}
+    {n: n - 2, masses, means, variances}
   } else {
     for i in 1 to n - 2 {
       // area of triangle = width * height / 2
@@ -91,7 +91,7 @@ let toDiscretePointMassesFromTriangulars = (
       ) |> ignore
       ()
     }
-    {n: n - 2, masses: masses, means: means, variances: variances}
+    {n: n - 2, masses, means, variances}
   }
 }
 
@@ -184,7 +184,7 @@ let toDiscretePointMassesFromDiscrete = (s: PointSetTypes.xyShape): pointMassesW
   let means: array<float> = Belt.Array.makeBy(n, i => xs[i])
   let variances: array<float> = Belt.Array.makeBy(n, _ => 0.0)
 
-  {n: n, masses: masses, means: means, variances: variances}
+  {n, masses, means, variances}
 }
 
 type argumentPosition = First | Second

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/Continuous.res

@@ -45,16 +45,16 @@ module Analysis = {
 let getShape = (t: t) => t.xyShape
 let interpolation = (t: t) => t.interpolation
 let make = (~interpolation=#Linear, ~integralSumCache=None, ~integralCache=None, xyShape): t => {
-  xyShape: xyShape,
+  xyShape,
-  interpolation: interpolation,
+  interpolation,
-  integralSumCache: integralSumCache,
+  integralSumCache,
-  integralCache: integralCache,
+  integralCache,
 }
 let shapeMap = (fn, {xyShape, interpolation, integralSumCache, integralCache}: t): t => {
   xyShape: fn(xyShape),
-  interpolation: interpolation,
+  interpolation,
-  integralSumCache: integralSumCache,
+  integralSumCache,
-  integralCache: integralCache,
+  integralCache,
 }
 let lastY = (t: t) => t |> getShape |> XYShape.T.lastY
 let oShapeMap = (fn, {xyShape, interpolation, integralSumCache, integralCache}: t): option<
@@ -135,10 +135,10 @@ let shapeFn = (fn, t: t) => t |> getShape |> fn
 
 let updateIntegralSumCache = (integralSumCache, t: t): t => {
   ...t,
-  integralSumCache: integralSumCache,
+  integralSumCache,
 }
 
-let updateIntegralCache = (integralCache, t: t): t => {...t, integralCache: integralCache}
+let updateIntegralCache = (integralCache, t: t): t => {...t, integralCache}
 
 let sum = (
   ~integralSumCachesFn: (float, float) => option<float>=(_, _) => None,

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/Discrete.res

@@ -4,14 +4,14 @@ open Distributions
 type t = PointSetTypes.discreteShape
 
 let make = (~integralSumCache=None, ~integralCache=None, xyShape): t => {
-  xyShape: xyShape,
+  xyShape,
-  integralSumCache: integralSumCache,
+  integralSumCache,
-  integralCache: integralCache,
+  integralCache,
 }
 let shapeMap = (fn, {xyShape, integralSumCache, integralCache}: t): t => {
   xyShape: fn(xyShape),
-  integralSumCache: integralSumCache,
+  integralSumCache,
-  integralCache: integralCache,
+  integralCache,
 }
 let getShape = (t: t) => t.xyShape
 let oShapeMap = (fn, {xyShape, integralSumCache, integralCache}: t): option<t> =>
@@ -63,12 +63,12 @@ let reduce = (
 
 let updateIntegralSumCache = (integralSumCache, t: t): t => {
   ...t,
-  integralSumCache: integralSumCache,
+  integralSumCache,
 }
 
 let updateIntegralCache = (integralCache, t: t): t => {
   ...t,
-  integralCache: integralCache,
+  integralCache,
 }
 
 /* This multiples all of the data points together and creates a new discrete distribution from the results.

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/Mixed.res

@@ -4,10 +4,10 @@ open Distributions
 
 type t = PointSetTypes.mixedShape
 let make = (~integralSumCache=None, ~integralCache=None, ~continuous, ~discrete): t => {
-  continuous: continuous,
+  continuous,
-  discrete: discrete,
+  discrete,
-  integralSumCache: integralSumCache,
+  integralSumCache,
-  integralCache: integralCache,
+  integralCache,
 }
 
 let totalLength = (t: t): int => {
@@ -35,7 +35,7 @@ let toDiscrete = ({discrete}: t) => Some(discrete)
 
 let updateIntegralCache = (integralCache, t: t): t => {
   ...t,
-  integralCache: integralCache,
+  integralCache,
 }
 
 let combinePointwise = (

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/PointSetTypes.res

@@ -79,8 +79,8 @@ module MixedPoint = {
   type t = mixedPoint
   let toContinuousValue = (t: t) => t.continuous
   let toDiscreteValue = (t: t) => t.discrete
-  let makeContinuous = (continuous: float): t => {continuous: continuous, discrete: 0.0}
+  let makeContinuous = (continuous: float): t => {continuous, discrete: 0.0}
-  let makeDiscrete = (discrete: float): t => {continuous: 0.0, discrete: discrete}
+  let makeDiscrete = (discrete: float): t => {continuous: 0.0, discrete}
 
   let fmap = (fn: float => float, t: t) => {
     continuous: fn(t.continuous),

packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res

@@ -7,7 +7,7 @@ module Normal = {
   type t = normal
   let make = (mean: float, stdev: float): result<symbolicDist, string> =>
     stdev > 0.0
-      ? Ok(#Normal({mean: mean, stdev: stdev}))
+      ? Ok(#Normal({mean, stdev}))
       : Error("Standard deviation of normal distribution must be larger than 0")
   let pdf = (x, t: t) => Jstat.Normal.pdf(x, t.mean, t.stdev)
   let cdf = (x, t: t) => Jstat.Normal.cdf(x, t.mean, t.stdev)
@@ -15,7 +15,7 @@ module Normal = {
   let from90PercentCI = (low, high) => {
     let mean = E.A.Floats.mean([low, high])
     let stdev = (high -. low) /. (2. *. normal95confidencePoint)
-    #Normal({mean: mean, stdev: stdev})
+    #Normal({mean, stdev})
   }
   let inv = (p, t: t) => Jstat.Normal.inv(p, t.mean, t.stdev)
   let sample = (t: t) => Jstat.Normal.sample(t.mean, t.stdev)
@@ -25,12 +25,12 @@ module Normal = {
   let add = (n1: t, n2: t) => {
     let mean = n1.mean +. n2.mean
     let stdev = Js.Math.sqrt(n1.stdev ** 2. +. n2.stdev ** 2.)
-    #Normal({mean: mean, stdev: stdev})
+    #Normal({mean, stdev})
   }
   let subtract = (n1: t, n2: t) => {
     let mean = n1.mean -. n2.mean
     let stdev = Js.Math.sqrt(n1.stdev ** 2. +. n2.stdev ** 2.)
-    #Normal({mean: mean, stdev: stdev})
+    #Normal({mean, stdev})
   }
 
   // TODO: is this useful here at all? would need the integral as well ...
@@ -38,7 +38,7 @@ module Normal = {
     let mean =
       (n1.mean *. n2.stdev ** 2. +. n2.mean *. n1.stdev ** 2.) /. (n1.stdev ** 2. +. n2.stdev ** 2.)
     let stdev = 1. /. (1. /. n1.stdev ** 2. +. 1. /. n2.stdev ** 2.)
-    #Normal({mean: mean, stdev: stdev})
+    #Normal({mean, stdev})
   }
 
   let operate = (operation: Operation.Algebraic.t, n1: t, n2: t) =>
@@ -88,7 +88,7 @@ module Cauchy = {
   type t = cauchy
   let make = (local, scale): result<symbolicDist, string> =>
     scale > 0.0
-      ? Ok(#Cauchy({local: local, scale: scale}))
+      ? Ok(#Cauchy({local, scale}))
       : Error("Cauchy distribution scale parameter must larger than 0.")
   let pdf = (x, t: t) => Jstat.Cauchy.pdf(x, t.local, t.scale)
   let cdf = (x, t: t) => Jstat.Cauchy.cdf(x, t.local, t.scale)
@@ -102,7 +102,7 @@ module Triangular = {
   type t = triangular
   let make = (low, medium, high): result<symbolicDist, string> =>
     low < medium && medium < high
-      ? Ok(#Triangular({low: low, medium: medium, high: high}))
+      ? Ok(#Triangular({low, medium, high}))
       : Error("Triangular values must be increasing order.")
   let pdf = (x, t: t) => Jstat.Triangular.pdf(x, t.low, t.high, t.medium) // not obvious in jstat docs that high comes before medium?
   let cdf = (x, t: t) => Jstat.Triangular.cdf(x, t.low, t.high, t.medium)
@@ -116,7 +116,7 @@ module Beta = {
   type t = beta
   let make = (alpha, beta) =>
     alpha > 0.0 && beta > 0.0
-      ? Ok(#Beta({alpha: alpha, beta: beta}))
+      ? Ok(#Beta({alpha, beta}))
       : Error("Beta distribution parameters must be positive")
   let pdf = (x, t: t) => Jstat.Beta.pdf(x, t.alpha, t.beta)
   let cdf = (x, t: t) => Jstat.Beta.cdf(x, t.alpha, t.beta)
@@ -150,7 +150,7 @@ module Lognormal = {
   type t = lognormal
   let make = (mu, sigma) =>
     sigma > 0.0
-      ? Ok(#Lognormal({mu: mu, sigma: sigma}))
+      ? Ok(#Lognormal({mu, sigma}))
       : Error("Lognormal standard deviation must be larger than 0")
   let pdf = (x, t: t) => Jstat.Lognormal.pdf(x, t.mu, t.sigma)
   let cdf = (x, t: t) => Jstat.Lognormal.cdf(x, t.mu, t.sigma)
@@ -164,7 +164,7 @@ module Lognormal = {
     let logHigh = Js.Math.log(high)
     let mu = E.A.Floats.mean([logLow, logHigh])
     let sigma = (logHigh -. logLow) /. (2.0 *. normal95confidencePoint)
-    #Lognormal({mu: mu, sigma: sigma})
+    #Lognormal({mu, sigma})
   }
   let fromMeanAndStdev = (mean, stdev) => {
     // https://math.stackexchange.com/questions/2501783/parameters-of-a-lognormal-distribution
@@ -174,7 +174,7 @@ module Lognormal = {
       let meanSquared = mean ** 2.
       let mu = 2. *. Js.Math.log(mean) -. 0.5 *. Js.Math.log(variance +. meanSquared)
       let sigma = Js.Math.sqrt(Js.Math.log(variance /. meanSquared +. 1.))
-      Ok(#Lognormal({mu: mu, sigma: sigma}))
+      Ok(#Lognormal({mu, sigma}))
     } else {
       Error("Lognormal standard deviation must be larger than 0")
     }
@@ -184,14 +184,14 @@ module Lognormal = {
     // https://wikiless.org/wiki/Log-normal_distribution?lang=en#Multiplication_and_division_of_independent,_log-normal_random_variables
     let mu = l1.mu +. l2.mu
     let sigma = Js.Math.sqrt(l1.sigma ** 2. +. l2.sigma ** 2.)
-    #Lognormal({mu: mu, sigma: sigma})
+    #Lognormal({mu, sigma})
   }
   let divide = (l1, l2) => {
     let mu = l1.mu -. l2.mu
     // We believe the ratiands will have covariance zero.
     // See here https://stats.stackexchange.com/questions/21735/what-are-the-mean-and-variance-of-the-ratio-of-two-lognormal-variables for details
     let sigma = Js.Math.sqrt(l1.sigma ** 2. +. l2.sigma ** 2.)
-    #Lognormal({mu: mu, sigma: sigma})
+    #Lognormal({mu, sigma})
   }
   let operate = (operation: Operation.Algebraic.t, n1: t, n2: t) =>
     switch operation {
@@ -220,7 +220,7 @@ module Lognormal = {
 module Uniform = {
   type t = uniform
   let make = (low, high) =>
-    high > low ? Ok(#Uniform({low: low, high: high})) : Error("High must be larger than low")
+    high > low ? Ok(#Uniform({low, high})) : Error("High must be larger than low")
 
   let pdf = (x, t: t) => Jstat.Uniform.pdf(x, t.low, t.high)
   let cdf = (x, t: t) => Jstat.Uniform.cdf(x, t.low, t.high)
@@ -239,9 +239,7 @@ module Uniform = {
 module Logistic = {
   type t = logistic
   let make = (location, scale) =>
-    scale > 0.0
+    scale > 0.0 ? Ok(#Logistic({location, scale})) : Error("Scale must be positive")
-      ? Ok(#Logistic({location: location, scale: scale}))
-      : Error("Scale must be positive")
 
   let pdf = (x, t: t) => Stdlib.Logistic.pdf(x, t.location, t.scale)
   let cdf = (x, t: t) => Stdlib.Logistic.cdf(x, t.location, t.scale)
@@ -285,7 +283,7 @@ module Gamma = {
   let make = (shape: float, scale: float) => {
     if shape > 0. {
       if scale > 0. {
-        Ok(#Gamma({shape: shape, scale: scale}))
+        Ok(#Gamma({shape, scale}))
       } else {
         Error("scale must be larger than 0")
       }
@@ -543,6 +541,6 @@ module T = {
     | _ =>
       let xs = interpolateXs(~xSelection, d, sampleCount)
       let ys = xs |> E.A.fmap(x => pdf(x, d))
-      Continuous(Continuous.make(~integralSumCache=Some(1.0), {xs: xs, ys: ys}))
+      Continuous(Continuous.make(~integralSumCache=Some(1.0), {xs, ys}))
     }
 }

packages/squiggle-lang/src/rescript/FR/FR_Builtin.res

@@ -23,7 +23,7 @@ let makeFn = (
   name: string,
   inputs: array<frType>,
   fn: array<Reducer_T.value> => result<Reducer_T.value, errorMessage>,
-) => makeFnMany(name, [{inputs: inputs, fn: fn}])
+) => makeFnMany(name, [{inputs, fn}])
 
 let library = [
   Make.ff2f(~name="add", ~fn=(x, y) => x +. y, ()), // infix + (see Reducer/Reducer_Peggy/helpers.ts)
@@ -62,6 +62,7 @@ let library = [
         let answer = Js.String2.concat(a, b)
         answer->Reducer_T.IEvString->Ok
       }
+
     | _ => Error(impossibleError)
     }
   }),
@@ -72,6 +73,7 @@ let library = [
         let _ = Js.Array2.pushMany(a, b)
         a->Reducer_T.IEvArray->Ok
       }
+
     | _ => Error(impossibleError)
     }
   }),
@@ -81,6 +83,7 @@ let library = [
         Js.log(value->Reducer_Value.toString)
         value->Ok
       }
+
     | _ => Error(impossibleError)
     }
   }),
@@ -90,6 +93,7 @@ let library = [
         Js.log(`${label}: ${value->Reducer_Value.toString}`)
         value->Ok
       }
+
     | _ => Error(impossibleError)
     }
   }),

packages/squiggle-lang/src/rescript/FR/FR_Danger.res

@@ -135,11 +135,13 @@ module Integration = {
               let wrappedResult = result->Reducer_T.IEvNumber->Ok
               wrappedResult
             }
+
           | (Error(b), _) => Error(b)
           | (_, Error(b)) => Error(b)
           }
           resultWithOuterPoints
         }
+
       | Error(b) =>
         ("Integration error 2 in Danger.integrate. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead." ++
         "Original error: " ++
@@ -362,6 +364,7 @@ module DiminishingReturns = {
                         result[indexOfBiggestDMR] = value
                         Ok(result)
                       }
+
                     | Error(b) => Error(b)
                     }
 
@@ -371,10 +374,12 @@ module DiminishingReturns = {
                     }
                     Ok(newAcc)
                   }
+
                 | Error(b) => Error(b)
                 }
                 newAccWrapped
               }
+
             | Error(b) => Error(b)
             }
           })
@@ -427,10 +432,12 @@ module DiminishingReturns = {
                     )
                     result
                   }
+
                 | Error(b) => Error(b)
                 }
                 result
               }
+
             | _ =>
               "Error in Danger.diminishingMarginalReturnsForTwoFunctions"
               ->SqError.Message.REOther

packages/squiggle-lang/src/rescript/FR/FR_Fn.res

@@ -20,6 +20,7 @@ module Declaration = {
         ->E.A.R.firstErrorOrOpen
         ->E.R2.fmap(args => Reducer_T.IEvDeclaration(Declaration.make(lambda, args)))
       }
+
     | Error(r) => Error(r)
     | Ok(_) => Error(impossibleErrorString)
     }

packages/squiggle-lang/src/rescript/FR/FR_GenericDist.res

@@ -140,6 +140,7 @@ module Old = {
             | Error(err) => error(err)
             }
           }
+
         | Some(IEvNumber(_))
         | Some(IEvDistribution(_)) =>
           switch parseDistributionArray(args) {
@@ -192,6 +193,7 @@ module Old = {
         }
         Helpers.toFloatFn(fn, dist, ~env)
       }
+
     | ("integralSum", [IEvDistribution(dist)]) => Helpers.toFloatFn(#IntegralSum, dist, ~env)
     | ("toString", [IEvDistribution(dist)]) => Helpers.toStringFn(ToString, dist, ~env)
     | ("sparkline", [IEvDistribution(dist)]) =>

packages/squiggle-lang/src/rescript/FR/FR_Pointset.res

@@ -19,6 +19,7 @@ let inputsToDist = (inputs: array<Reducer_T.value>, xyShapeToPointSetDist) => {
           | _ => impossibleError->SqError.Message.throw
           }
         }
+
       | _ => impossibleError->SqError.Message.throw
       }
     )

packages/squiggle-lang/src/rescript/FunctionRegistry/FunctionRegistry_Core.res

@@ -61,6 +61,7 @@ module FRType = {
         let input = ((name, frType): frTypeRecordParam) => `${name}: ${toString(frType)}`
         `{${r->E.A2.fmap(input)->E.A2.joinWith(", ")}}`
       }
+
     | FRTypeArray(r) => `list(${toString(r)})`
     | FRTypeLambda => `lambda`
     | FRTypeString => `string`
@@ -132,9 +133,9 @@ module FnDefinition = {
   }
 
   let make = (~name, ~inputs, ~run, ()): t => {
-    name: name,
+    name,
-    inputs: inputs,
+    inputs,
-    run: run,
+    run,
   }
 }
 
@@ -160,14 +161,14 @@ module Function = {
     ~isExperimental=false,
     (),
   ): t => {
-    name: name,
+    name,
-    nameSpace: nameSpace,
+    nameSpace,
-    definitions: definitions,
+    definitions,
-    output: output,
+    output,
     examples: examples->E.O2.default([]),
-    isExperimental: isExperimental,
+    isExperimental,
-    requiresNamespace: requiresNamespace,
+    requiresNamespace,
-    description: description,
+    description,
   }
 
   let toJson = (t: t): functionJson => {
@@ -203,15 +204,19 @@ module Registry = {
             fn.requiresNamespace ? [] : [def.name],
           ]->E.A.concatMany
 
-        names->Belt.Array.reduce(acc, (acc, name) => {
+        names->Belt.Array.reduce(
+          acc,
+          (acc, name) => {
             switch acc->Belt.Map.String.get(name) {
             | Some(fns) => {
                 let _ = fns->Js.Array2.push(def) // mutates the array, no need to update acc
                 acc
               }
+
             | None => acc->Belt.Map.String.set(name, [def])
             }
-        })
+          },
+        )
       })
     )
   }
@@ -245,6 +250,7 @@ module Registry = {
         | None => REOther(showNameMatchDefinitions())->Error
         }
       }
+
     | None => RESymbolNotFound(fnName)->Error
     }
   }

packages/squiggle-lang/src/rescript/FunctionRegistry/FunctionRegistry_Helpers.res

@@ -34,6 +34,7 @@ module Prepare = {
             let n2 = map->Belt.Map.String.getExn(arg2)
             Ok([n1, n2])
           }
+
         | _ => Error(impossibleErrorString)
         }
 
@@ -45,6 +46,7 @@ module Prepare = {
             let n3 = map->Belt.Map.String.getExn(arg3)
             Ok([n1, n2, n3])
           }
+
         | _ => Error(impossibleErrorString)
         }
     }

packages/squiggle-lang/src/rescript/Reducer/Reducer_Bindings.res

@@ -44,4 +44,4 @@ let removeResult = ({namespace} as bindings: t): t => {
 
 let locals = ({namespace}: t): Reducer_T.namespace => namespace
 
-let fromNamespace = (namespace: Reducer_Namespace.t): t => {namespace: namespace, parent: None}
+let fromNamespace = (namespace: Reducer_Namespace.t): t => {namespace, parent: None}

packages/squiggle-lang/src/rescript/Reducer/Reducer_Context.res

@@ -6,7 +6,7 @@ let createContext = (stdLib: Reducer_Namespace.t, environment: Reducer_T.environ
   {
     frameStack: list{},
     bindings: stdLib->Reducer_Bindings.fromNamespace->Reducer_Bindings.extend,
-    environment: environment,
+    environment,
     inFunction: None,
   }
 }

packages/squiggle-lang/src/rescript/Reducer/Reducer_Expression/Reducer_Expression.res

@@ -123,6 +123,7 @@ let rec evaluate: T.reducerFn = (expression, context): (T.value, T.context) => {
           )
           (result, context)
         }
+
       | _ => RENotAFunction(lambda->Reducer_Value.toString)->throwFrom(expression, context)
       }
     }

packages/squiggle-lang/src/rescript/Reducer/Reducer_FrameStack.res

@@ -23,8 +23,8 @@ let make = (): t => list{}
 
 let extend = (t: t, name: string, location: option<Reducer_Peggy_Parse.location>) =>
   t->Belt.List.add({
-    name: name,
+    name,
-    location: location,
+    location,
   })
 
 // this is useful for SyntaxErrors

packages/squiggle-lang/src/rescript/Reducer/Reducer_Lambda.res

@@ -43,10 +43,10 @@ let makeLambda = (
 
   FnLambda({
     // context: bindings,
-    name: name,
+    name,
     body: lambda,
-    parameters: parameters,
+    parameters,
-    location: location,
+    location,
   })
 }
 
@@ -54,8 +54,8 @@ let makeLambda = (
 let makeFFILambda = (name: string, body: Reducer_T.lambdaBody): t => FnBuiltin({
   // Note: current bindings could be accidentally exposed here through context (compare with native lambda implementation above, where we override them with local bindings).
   // But FunctionRegistry API is too limited for that to matter. Please take care not to violate that in the future by accident.
-  body: body,
+  body,
-  name: name,
+  name,
 })
 
 // this function doesn't scale to FunctionRegistry's polymorphic functions

packages/squiggle-lang/src/rescript/Reducer/Reducer_Peggy/Reducer_Peggy_Parse.res

@@ -113,7 +113,7 @@ let nodeToAST = (node: node) => {
   | _ => raise(UnsupportedPeggyNodeType(node["type"]))
   }
 
-  {location: node["location"], content: content}
+  {location: node["location"], content}
 }
 
 let nodeIdentifierToAST = (node: nodeIdentifier) => {

packages/squiggle-lang/src/rescript/Reducer/Reducer_Peggy/Reducer_Peggy_ToExpression.res

@@ -68,7 +68,7 @@ let rec fromNode = (node: Parse.node): expression => {
   }
 
   {
-    ast: ast,
+    ast,
-    content: content,
+    content,
   }
 }

packages/squiggle-lang/src/rescript/ReducerProject/ReducerProject.res

@@ -216,6 +216,7 @@ let tryRunWithResult = (
         project->setResult(sourceId, Error(error))
         Error(error)
       }
+
     | Ok(_prevResult) => {
         project->doLinkAndRun(sourceId)
         project->getResultOption(sourceId)->Belt.Option.getWithDefault(rPrevResult)

packages/squiggle-lang/src/rescript/ReducerProject/ReducerProject_ProjectItem.res

@@ -6,7 +6,7 @@ type t = T.t
 
 let emptyItem = (sourceId: string): projectItem => {
   source: "",
-  sourceId: sourceId,
+  sourceId,
   rawParse: None,
   expression: None,
   continuation: Reducer_Namespace.make(),
@@ -76,7 +76,7 @@ let resetIncludes = (r: t): t => {
 }
 
 let setSource = (r: t, source: T.sourceArgumentType): t =>
-  {...r, source: source}->resetIncludes->touchSource
+  {...r, source}->resetIncludes->touchSource
 
 let setRawParse = (r: t, rawParse: T.rawParseArgumentType): t =>
   {...r, rawParse: Some(rawParse)}->touchRawParse
@@ -86,7 +86,7 @@ let setExpression = (r: t, expression: T.expressionArgumentType): t =>
 
 let setContinuation = (r: t, continuation: T.continuationArgumentType): t => {
   ...r,
-  continuation: continuation,
+  continuation,
 }
 
 let setResult = (r: t, result: T.resultArgumentType): t => {
@@ -110,24 +110,23 @@ let getPastChain = (this: t): array<string> => {
   Js.Array2.concat(getDirectIncludes(this), getContinues(this))
 }
 
-let setContinues = (this: t, continues: array<string>): t =>
+let setContinues = (this: t, continues: array<string>): t => {...this, continues}->touchSource
-  {...this, continues: continues}->touchSource
 
 let removeContinues = (this: t): t => {...this, continues: []}->touchSource
 
 let setIncludes = (this: t, includes: T.includesType): t => {
   ...this,
-  includes: includes,
+  includes,
 }
 
 let setImportAsVariables = (this: t, includeAsVariables: T.importAsVariablesType): t => {
   ...this,
-  includeAsVariables: includeAsVariables,
+  includeAsVariables,
 }
 
 let setDirectImports = (this: t, directIncludes: array<string>): t => {
   ...this,
-  directIncludes: directIncludes,
+  directIncludes,
 }
 
 let parseIncludes = (this: t): t => {
@@ -144,9 +143,9 @@ let parseIncludes = (this: t): t => {
         ->Belt.Array.map(((_variable, file)) => file)
       {
         ...this,
-        includes: includes,
+        includes,
-        includeAsVariables: includeAsVariables,
+        includeAsVariables,
-        directIncludes: directIncludes,
+        directIncludes,
       }
     }
   }

packages/squiggle-lang/src/rescript/SqError.res

@@ -54,6 +54,7 @@ module Message = {
         }
         answer
       }
+
     | REMacroNotFound(macro) => `Macro not found: ${macro}`
     | RENotAFunction(valueString) => `${valueString} is not a function`
     | RERecordPropertyNotFound(msg, index) => `${msg}: ${index}`
@@ -93,8 +94,8 @@ type t = {
 exception SqException(t)
 
 let fromMessageWithFrameStack = (message: Message.t, frameStack: Reducer_FrameStack.t): t => {
-  message: message,
+  message,
-  frameStack: frameStack,
+  frameStack,
 }
 
 // this shouldn't be used much, since frame stack will be empty

packages/squiggle-lang/src/rescript/SquiggleLibrary/SquiggleLibrary_StdLib.res

@@ -18,6 +18,7 @@ let stdLib: Reducer_T.namespace = {
           | None => REArrayIndexNotFound("Array index not found", index)->SqError.Message.throw
           }
         }
+
       | [IEvRecord(dict), IEvString(sIndex)] =>
         switch Belt.Map.String.get(dict, sIndex) {
         | Some(value) => value

packages/squiggle-lang/src/rescript/Utility/Declaration.res

@@ -9,13 +9,13 @@ type declaration<'a> = {
 
 module ContinuousFloatArg = {
   let make = (min: float, max: float): arg => {
-    Float({min: min, max: max})
+    Float({min, max})
   }
 }
 
 module ContinuousTimeArg = {
   let make = (min: Js.Date.t, max: Js.Date.t): arg => {
-    Date({min: min, max: max})
+    Date({min, max})
   }
 }
 
@@ -33,7 +33,7 @@ module Arg = {
 }
 
 let make = (fn: 'a, args: array<arg>): declaration<'a> => {
-  {fn: fn, args: args}
+  {fn, args}
 }
 
 let toString = (r: declaration<'a>, fnToString): string => {

packages/squiggle-lang/src/rescript/Utility/XYShape.res

@@ -85,8 +85,8 @@ module T = {
   }
   let square = mapX(x => x ** 2.0)
   let zip = ({xs, ys}: t) => Belt.Array.zip(xs, ys)
-  let fromArray = ((xs, ys)): t => {xs: xs, ys: ys}
+  let fromArray = ((xs, ys)): t => {xs, ys}
-  let fromArrays = (xs, ys): t => {xs: xs, ys: ys}
+  let fromArrays = (xs, ys): t => {xs, ys}
   let accumulateYs = (fn, p: t) => fromArray((p.xs, E.A.accumulate(fn, p.ys)))
   let concat = (t1: t, t2: t) => {
     let cxs = Array.concat(list{t1.xs, t2.xs})
@@ -142,7 +142,7 @@ module T = {
   }
 
   let make = (~xs: array<float>, ~ys: array<float>) => {
-    let attempt: t = {xs: xs, ys: ys}
+    let attempt: t = {xs, ys}
     switch Validator.validate(attempt) {
     | Some(error) => Error(error)
     | None => Ok(attempt)
@@ -452,6 +452,7 @@ module PointwiseCombination = {
           let _ = Js.Array.push(fn(y1, y2), newYs)
           let _ = Js.Array.push(x, newXs)
         }
+
       | None => ()
       }
     }
@@ -558,7 +559,7 @@ module Range = {
         (xs[x + 1] -. xs[x]) *. ((ys[x] +. ys[x + 1]) /. 2.) +. cumulativeY[x], // dx // (1/2) * (avgY)
       )
     }
-    Some({xs: xs, ys: cumulativeY})
+    Some({xs, ys: cumulativeY})
   }
 
   let derivative = mapYsBasedOnRanges(delta_y_over_delta_x)