Added back HardcodedFunctions.re
This commit is contained in:
Ozzie Gooen
parent
f955a9f642
commit
68ac17e872
258
src/distPlus/typeSystem/HardcodedFunctions.re
Normal file
258
src/distPlus/typeSystem/HardcodedFunctions.re
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@ -0,0 +1,258 @@
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open TypeSystem;
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let wrongInputsError = (r: array(typedValue)) => {
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let inputs = r |> E.A.fmap(TypedValue.toString) |>Js.String.concatMany(_, ",");
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Js.log3("Inputs were", inputs, r);
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Error("Wrong inputs. The inputs were:" ++ inputs);
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};
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let to_: (float, float) => result(node, string) =
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(low, high) =>
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switch (low, high) {
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| (low, high) when low <= 0.0 && low < high =>
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Ok(`SymbolicDist(SymbolicDist.Normal.from90PercentCI(low, high)))
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| (low, high) when low < high =>
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Ok(`SymbolicDist(SymbolicDist.Lognormal.from90PercentCI(low, high)))
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| (_, _) => Error("Low value must be less than high value.")
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};
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let makeSymbolicFromTwoFloats = (name, fn) =>
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Function.T.make(
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~name,
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~outputType=`SamplingDistribution,
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~inputTypes=[|`Float, `Float|],
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~run=
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fun
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| [|`Float(a), `Float(b)|] => Ok(`SymbolicDist(fn(a, b)))
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| e => wrongInputsError(e),
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(),
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);
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let makeSymbolicFromOneFloat = (name, fn) =>
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Function.T.make(
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~name,
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~outputType=`SamplingDistribution,
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~inputTypes=[|`Float|],
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~run=
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fun
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| [|`Float(a)|] => Ok(`SymbolicDist(fn(a)))
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| e => wrongInputsError(e),
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(),
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);
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let makeDistFloat = (name, fn) =>
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Function.T.make(
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~name,
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~outputType=`SamplingDistribution,
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~inputTypes=[|`SamplingDistribution, `Float|],
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~run=
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fun
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| [|`SamplingDist(a), `Float(b)|] => fn(a, b)
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| [|`RenderedDist(a), `Float(b)|] => fn(`RenderedDist(a), b)
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| e => wrongInputsError(e),
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(),
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);
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let makeRenderedDistFloat = (name, fn) =>
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Function.T.make(
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~name,
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~outputType=`RenderedDistribution,
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~inputTypes=[|`RenderedDistribution, `Float|],
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~shouldCoerceTypes=true,
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~run=
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fun
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| [|`RenderedDist(a), `Float(b)|] => fn(a, b)
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| e => wrongInputsError(e),
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(),
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);
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let makeDist = (name, fn) =>
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Function.T.make(
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~name,
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~outputType=`SamplingDistribution,
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~inputTypes=[|`SamplingDistribution|],
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~run=
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fun
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| [|`SamplingDist(a)|] => fn(a)
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| [|`RenderedDist(a)|] => fn(`RenderedDist(a))
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| e => wrongInputsError(e),
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(),
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);
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let floatFromDist =
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(
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distToFloatOp: ExpressionTypes.distToFloatOperation,
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t: TypeSystem.samplingDist,
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)
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: result(node, string) => {
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switch (t) {
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| `SymbolicDist(s) =>
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SymbolicDist.T.operate(distToFloatOp, s)
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|> E.R.bind(_, v => Ok(`SymbolicDist(`Float(v))))
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| `RenderedDist(rs) =>
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Shape.operate(distToFloatOp, rs) |> (v => Ok(`SymbolicDist(`Float(v))))
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};
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};
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let verticalScaling = (scaleOp, rs, scaleBy) => {
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// scaleBy has to be a single float, otherwise we'll return an error.
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let fn = (secondary, main) =>
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Operation.Scale.toFn(scaleOp, main, secondary);
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let integralSumCacheFn = Operation.Scale.toIntegralSumCacheFn(scaleOp);
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let integralCacheFn = Operation.Scale.toIntegralCacheFn(scaleOp);
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Ok(
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`RenderedDist(
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Shape.T.mapY(
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~integralSumCacheFn=integralSumCacheFn(scaleBy),
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~integralCacheFn=integralCacheFn(scaleBy),
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~fn=fn(scaleBy),
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rs,
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),
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),
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);
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};
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module Multimodal = {
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let getByNameResult = ExpressionTypes.ExpressionTree.Hash.getByNameResult;
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let _paramsToDistsAndWeights = (r: array(typedValue)) =>
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switch (r) {
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| [|`Hash(r)|] =>
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let dists =
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getByNameResult(r, "dists")
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->E.R.bind(TypeSystem.TypedValue.toArray)
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->E.R.bind(r =>
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r
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|> E.A.fmap(TypeSystem.TypedValue.toDist)
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|> E.A.R.firstErrorOrOpen
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);
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let weights =
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getByNameResult(r, "weights")
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->E.R.bind(TypeSystem.TypedValue.toArray)
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->E.R.bind(r =>
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r
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|> E.A.fmap(TypeSystem.TypedValue.toFloat)
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|> E.A.R.firstErrorOrOpen
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);
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E.R.merge(dists, weights)
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|> E.R.fmap(((a, b)) =>
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E.A.zipMaxLength(a, b)
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|> E.A.fmap(((a, b)) =>
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(a |> E.O.toExn(""), b |> E.O.default(1.0))
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)
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);
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| _ => Error("Needs items")
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};
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let _runner: array(typedValue) => result(node, string) =
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r => {
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let paramsToDistsAndWeights =
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_paramsToDistsAndWeights(r)
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|> E.R.fmap(
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E.A.fmap(((dist, weight)) =>
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`FunctionCall((
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"scaleMultiply",
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[|dist, `SymbolicDist(`Float(weight))|],
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))
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),
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);
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let pointwiseSum: result(node, string) =
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paramsToDistsAndWeights->E.R.bind(
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E.R.errorIfCondition(E.A.isEmpty, "Needs one input"),
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)
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|> E.R.fmap(r =>
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r
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|> Js.Array.sliceFrom(1)
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|> E.A.fold_left(
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(acc, x) => {`PointwiseCombination((`Add, acc, x))},
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E.A.unsafe_get(r, 0),
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)
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);
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pointwiseSum;
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};
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let _function =
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Function.T.make(
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~name="multimodal",
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~outputType=`SamplingDistribution,
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~inputTypes=[|
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`Hash([|
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("dists", `Array(`SamplingDistribution)),
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("weights", `Array(`Float)),
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|]),
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|],
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~run=_runner,
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(),
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);
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};
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let all = [|
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makeSymbolicFromTwoFloats("normal", SymbolicDist.Normal.make),
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makeSymbolicFromTwoFloats("uniform", SymbolicDist.Uniform.make),
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makeSymbolicFromTwoFloats("beta", SymbolicDist.Beta.make),
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makeSymbolicFromTwoFloats("lognormal", SymbolicDist.Lognormal.make),
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makeSymbolicFromTwoFloats(
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"lognormalFromMeanAndStdDev",
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SymbolicDist.Lognormal.fromMeanAndStdev,
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),
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makeSymbolicFromOneFloat("exponential", SymbolicDist.Exponential.make),
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Function.T.make(
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~name="to",
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~outputType=`SamplingDistribution,
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~inputTypes=[|`Float, `Float|],
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~run=
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fun
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| [|`Float(a), `Float(b)|] => to_(a, b)
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| e => wrongInputsError(e),
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(),
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),
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Function.T.make(
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~name="triangular",
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~outputType=`SamplingDistribution,
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~inputTypes=[|`Float, `Float, `Float|],
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~run=
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fun
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| [|`Float(a), `Float(b), `Float(c)|] =>
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SymbolicDist.Triangular.make(a, b, c)
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|> E.R.fmap(r => `SymbolicDist(r))
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| e => wrongInputsError(e),
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(),
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),
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makeDistFloat("pdf", (dist, float) => floatFromDist(`Pdf(float), dist)),
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makeDistFloat("inv", (dist, float) => floatFromDist(`Inv(float), dist)),
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makeDistFloat("cdf", (dist, float) => floatFromDist(`Cdf(float), dist)),
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makeDist("mean", dist => floatFromDist(`Mean, dist)),
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makeDist("sample", dist => floatFromDist(`Sample, dist)),
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Function.T.make(
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~name="render",
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~outputType=`RenderedDistribution,
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~inputTypes=[|`RenderedDistribution|],
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~run=
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fun
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| [|`RenderedDist(c)|] => Ok(`RenderedDist(c))
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| e => wrongInputsError(e),
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(),
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),
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Function.T.make(
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~name="normalize",
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~outputType=`SamplingDistribution,
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~inputTypes=[|`SamplingDistribution|],
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~run=
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fun
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| [|`SamplingDist(`SymbolicDist(c))|] => Ok(`SymbolicDist(c))
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| [|`SamplingDist(`RenderedDist(c))|] =>
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Ok(`RenderedDist(Shape.T.normalize(c)))
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| e => wrongInputsError(e),
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(),
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),
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makeRenderedDistFloat("scaleExp", (dist, float) =>
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verticalScaling(`Exponentiate, dist, float)
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),
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makeRenderedDistFloat("scaleMultiply", (dist, float) =>
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verticalScaling(`Multiply, dist, float)
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),
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makeRenderedDistFloat("scaleLog", (dist, float) =>
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verticalScaling(`Log, dist, float)
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),
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Multimodal._function
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|];
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