open Jest open Expect open Reducer_TestHelpers let expectEvalToBeOk = (code: string) => Reducer_Expression.BackCompatible.evaluateString(code)->E.R.isOk->expect->toBe(true) let registry = FunctionRegistry_Library.registry let examples = E.A.to_list(FunctionRegistry_Core.Registry.allExamples(registry)) describe("FunctionRegistry Library", () => { describe("Regular tests", () => { testEvalToBe("List.length([3,5,8])", "Ok(3)") testEvalToBe("List.length([])", "Ok(0)") testEvalToBe("List.make(3, 'HI')", "Ok(['HI','HI','HI'])") testEvalToBe("make(3, 'HI')", "Error(make is not defined)") testEvalToBe("List.upTo(1,3)", "Ok([1,2,3])") testEvalToBe("List.first([3,5,8])", "Ok(3)") testEvalToBe("List.last([3,5,8])", "Ok(8)") testEvalToBe("List.reverse([3,5,8])", "Ok([8,5,3])") testEvalToBe("double(x)=2*x; arr=[1,2,3]; List.map(arr, double)", "Ok([2,4,6])") testEvalToBe("double(x)=2*x; arr=[1,2,3]; map(arr, double)", "Ok([2,4,6])") testEvalToBe("myadd(acc,x)=acc+x; arr=[1,2,3]; List.reduce(arr, 0, myadd)", "Ok(6)") testEvalToBe("change(acc,x)=acc*x+x; arr=[1,2,3]; List.reduce(arr, 0, change)", "Ok(15)") testEvalToBe("change(acc,x)=acc*x+x; arr=[1,2,3]; List.reduceReverse(arr, 0, change)", "Ok(9)") testEvalToBe("check(x)=(x==2);arr=[1,2,3]; List.filter(arr,check)", "Ok([2])") testEvalToBe("arr=[1,2,3]; List.reverse(arr)", "Ok([3,2,1])") testEvalToBe("Dist.normal(5,2)", "Ok(Normal(5,2))") testEvalToBe("normal(5,2)", "Ok(Normal(5,2))") testEvalToBe("normal({mean:5,stdev:2})", "Ok(Normal(5,2))") testEvalToBe("-2 to 4", "Ok(Normal(1,1.8238704957353074))") testEvalToBe("pointMass(5)", "Ok(PointMass(5))") testEvalToBe("Number.floor(5.5)", "Ok(5)") testEvalToBe("Number.ceil(5.5)", "Ok(6)") testEvalToBe("floor(5.5)", "Ok(5)") testEvalToBe("ceil(5.5)", "Ok(6)") testEvalToBe("Number.abs(5.5)", "Ok(5.5)") testEvalToBe("abs(5.5)", "Ok(5.5)") testEvalToBe("Number.exp(10)", "Ok(22026.465794806718)") testEvalToBe("Number.log10(10)", "Ok(1)") testEvalToBe("Number.log2(10)", "Ok(3.321928094887362)") testEvalToBe("Number.sum([2,5,3])", "Ok(10)") testEvalToBe("sum([2,5,3])", "Ok(10)") testEvalToBe("Number.product([2,5,3])", "Ok(30)") testEvalToBe("Number.min([2,5,3])", "Ok(2)") testEvalToBe("Number.max([2,5,3])", "Ok(5)") testEvalToBe("Number.mean([0,5,10])", "Ok(5)") testEvalToBe("Number.geomean([1,5,18])", "Ok(4.481404746557164)") testEvalToBe("Number.stdev([0,5,10,15])", "Ok(5.5901699437494745)") testEvalToBe("Number.variance([0,5,10,15])", "Ok(31.25)") testEvalToBe("Number.sort([10,0,15,5])", "Ok([0,5,10,15])") testEvalToBe("Number.cumsum([1,5,3])", "Ok([1,6,9])") testEvalToBe("Number.cumprod([1,5,3])", "Ok([1,5,15])") testEvalToBe("Number.diff([1,5,3])", "Ok([4,-2])") testEvalToBe( "Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1), prior: normal(5.5,3)})", "Ok(-0.33591375663884876)", ) testEvalToBe( "Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1)})", "Ok(0.32244107041564646)", ) testEvalToBe("Dist.logScore({estimate: normal(5,2), answer: 4.5})", "Ok(1.6433360626394853)") testEvalToBe("Dist.klDivergence(normal(5,2), normal(5,1.5))", "Ok(0.06874342818671068)") testEvalToBe("SampleSet.fromList([3,5,2,3,5,2,3,5,2,3,3,5])", "Ok(Sample Set Distribution)") testEvalToBe("SampleSet.fromList([3,5,2,3,5,2,3,5,2,3,3,5])", "Ok(Sample Set Distribution)") testEvalToBe("SampleSet.fromFn({|| sample(normal(5,2))})", "Ok(Sample Set Distribution)") testEvalToBe( "SampleSet.min(SampleSet.fromDist(normal(50,2)), 2)", "Ok(Sample Set Distribution)", ) testEvalToBe("mean(SampleSet.min(SampleSet.fromDist(normal(50,2)), 2))", "Ok(2)") testEvalToBe( "SampleSet.max(SampleSet.fromDist(normal(50,2)), 10)", "Ok(Sample Set Distribution)", ) testEvalToBe( "addOne(t)=t+1; SampleSet.toList(SampleSet.map(SampleSet.fromList([1,2,3,4,5,6]), addOne))", "Ok([2,3,4,5,6,7])", ) testEvalToBe( "SampleSet.toList(SampleSet.mapN([SampleSet.fromList([1,2,3,4,5,6]), SampleSet.fromList([6, 5, 4, 3, 2, 1])], {|x| x[0] > x[1] ? x[0] : x[1]}))", "Ok([6,5,4,4,5,6])", ) testEvalToBe( "SampleSet.fromList([1, 2, 3])", "Error(Error: Too few samples when constructing sample set)", ) testEvalToBe("Dict.merge({a: 1, b: 2}, {b: 3, c: 4, d: 5})", "Ok({a: 1,b: 3,c: 4,d: 5})") testEvalToBe( "Dict.mergeMany([{a: 1, b: 2}, {c: 3, d: 4}, {c: 5, e: 6}])", "Ok({a: 1,b: 2,c: 5,d: 4,e: 6})", ) testEvalToBe("Dict.keys({a: 1, b: 2})", "Ok(['a','b'])") testEvalToBe("Dict.values({a: 1, b: 2})", "Ok([1,2])") testEvalToBe("Dict.toList({a: 1, b: 2})", "Ok([['a',1],['b',2]])") testEvalToBe("Dict.fromList([['a', 1], ['b', 2]])", "Ok({a: 1,b: 2})") }) describe("Fn auto-testing", () => { 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, _)) => E.O.isSome(fn.output), ), ), ((fn, example)) => { let responseType = example ->Reducer_Expression.BackCompatible.evaluateString ->E.R2.fmap(Reducer_Value.valueToValueType) let expectedOutputType = fn.output |> E.O.toExn("") expect(responseType)->toEqual(Ok(expectedOutputType)) }, ) }) })