added test; fixed lint

packages/squiggle-lang/__tests__/Parser/Squiggle_test.res

@@ -4,9 +4,32 @@ let {eval} = module(Parser_Squiggle)
 
 describe("expressions of normal distributions:", () => {
   test("sum of two", () => {
-    expect(eval(" normal (5 , 2 ) + normal(0,2)")) -> toEqual({mean: 5.0 +. 0.0, stdev: Js.Math.sqrt(2.0 ** 2.0 +. 2.0 ** 2.0)} -> #Normal -> Symbolic -> EvDistribution -> Ok -> Some)
+    expect(eval(" normal (5 , 2 ) + normal(0,2)"))->toEqual(
+      {mean: 5.0 +. 0.0, stdev: Js.Math.sqrt(2.0 ** 2.0 +. 2.0 ** 2.0)}
+      ->#Normal
+      ->Symbolic
+      ->EvDistribution
+      ->Ok
+      ->Some,
+    )
   })
   test("difference of two", () => {
-    expect(eval("normal(5,3)-normal(2,1)")) -> toEqual({mean: 5.0 -. 2.0, stdev: Js.Math.sqrt(3.0 ** 2.0 +. 1.0 ** 2.0)} -> #Normal -> Symbolic -> EvDistribution -> Ok -> Some)
+    expect(eval("normal(5,3)-normal(2,1)"))->toEqual(
+      {mean: 5.0 -. 2.0, stdev: Js.Math.sqrt(3.0 ** 2.0 +. 1.0 ** 2.0)}
+      ->#Normal
+      ->Symbolic
+      ->EvDistribution
+      ->Ok
+      ->Some,
+    )
+  })
+  test("product of two", () => {
+    let item = eval("normal ( 5 , 3 ) * normal(2,1)")
+    exception NotOk(string)
+    let item' = switch item {
+    | Some(Ok(EvDistribution(SampleSet(x)))) => x
+    | _ => raise(NotOk("something happened"))
+    }
+    expect(Js.Array.length(item'))->toEqual(10000)
   })
 })

packages/squiggle-lang/src/rescript/OldParser/Parser.res

@@ -270,7 +270,6 @@ let fromString2 = str => {
        which returns a JSON with (hopefully) a single-element array.
        This array element is the top-level node of a nested-object tree
        representing the functions/arguments/values/etc. in the string.
-
        The function MathJsonToMathJsAdt then recursively unpacks this JSON into a typed data structure we can use.
        Inside of this function, MathAdtToDistDst is called whenever a distribution function is encountered.
  */

packages/squiggle-lang/src/rescript/Parser/Parser_Squiggle.res

@@ -3,9 +3,7 @@ let {dispatch} = module(ReducerInterface_GenericDistribution)
 type expressionValue = ReducerInterface_ExpressionValue.expressionValue
 
 module Grammar = {
-  type expressionValueOR = option<
+  type expressionValueOR = option<result<expressionValue, Reducer_ErrorValue.errorValue>>
-    result<ReducerInterface_ExpressionValue.expressionValue, Reducer_ErrorValue.errorValue>,
-  >
   let normalDist: t<expressionValueOR> = bind(Symbols.normalNode, _ =>
     bind(Symbols.openParen, _ =>
       bind(Primitive.natural, mean =>
@@ -61,16 +59,15 @@ module Grammar = {
   )
   and term: lazy_t<t<expressionValueOR>> = lazy bind(Lazy.force(factor), f =>
     choice(
-      bind(
+      bind(Primitive.symbol("*"), _ =>
-        Primitive.symbol("*"),
-        _ =>
         bind(Lazy.force(term), t => {
           let f' = retGenericDistOrRaise(f)
           let t' = retGenericDistOrRaise(t)
           returnP(dispatch(("multiply", [EvDistribution(f'), EvDistribution(t')])))
-          })),
+        })
-        returnP(f),
       ),
+      returnP(f),
+    )
   )
   and factor: lazy_t<t<expressionValueOR>> = lazy choice(
     bind(Symbols.openParen, _ =>