squiggle/packages/squiggle-lang/src/js/index.ts

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import { runAll } from "../rescript/ProgramEvaluator.gen";
import type {
Inputs_SamplingInputs_t as SamplingInputs,
exportEnv,
exportType,
exportDistribution,
} from "../rescript/ProgramEvaluator.gen";
export type { SamplingInputs, exportEnv, exportDistribution };
export type { t as DistPlus } from "../rescript/OldInterpreter/DistPlus.gen";
import {
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genericDist,
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env,
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error,
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} from "../rescript/TypescriptInterface.gen";
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export {makeSampleSetDist} from "../rescript/TypescriptInterface.gen";
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import {
Constructors_mean,
Constructors_sample,
Constructors_pdf,
Constructors_cdf,
Constructors_inv,
Constructors_normalize,
Constructors_toPointSet,
Constructors_toSampleSet,
Constructors_truncate,
Constructors_inspect,
Constructors_toString,
Constructors_toSparkline,
Constructors_algebraicAdd,
Constructors_algebraicMultiply,
Constructors_algebraicDivide,
Constructors_algebraicSubtract,
Constructors_algebraicLogarithm,
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Constructors_algebraicPower,
Constructors_pointwiseAdd,
Constructors_pointwiseMultiply,
Constructors_pointwiseDivide,
Constructors_pointwiseSubtract,
Constructors_pointwiseLogarithm,
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Constructors_pointwisePower,
} from "../rescript/Distributions/DistributionOperation/DistributionOperation.gen";
export let defaultSamplingInputs: SamplingInputs = {
sampleCount: 10000,
outputXYPoints: 10000,
pointDistLength: 1000,
};
export function run(
squiggleString: string,
samplingInputs?: SamplingInputs,
environment?: exportEnv
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): result<exportType, string> {
let si: SamplingInputs = samplingInputs
? samplingInputs
: defaultSamplingInputs;
let env: exportEnv = environment ? environment : [];
return runAll(squiggleString, si, env);
}
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type result<a, b> =
| {
tag: "Ok";
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value: a;
}
| {
tag: "Error";
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value: b;
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};
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export function resultMap<a,b,c>(r: result<a,c>, mapFn: ((x: a) => b)): result<b,c> {
if (r.tag === "Ok") {
return { tag: "Ok", value: mapFn(r.value) };
} else {
return r;
}
}
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export function resultExn<a,c>(r: result<a,c>): a | c {
return r.value
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}
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export class Distribution {
t: genericDist;
env: env;
constructor(t: genericDist, env: env) {
this.t = t;
this.env = env;
return this;
}
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mapResultDist(r: result<genericDist, error>) : result<Distribution, error>{
return resultMap(r, (v: genericDist) => new Distribution(v, this.env));
}
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mean() : result<number,error> {
return Constructors_mean({ env: this.env }, this.t);
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}
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sample(): result<number,error> {
return Constructors_sample({ env: this.env }, this.t);
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}
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pdf(n: number): result<number,error> {
return Constructors_pdf({ env: this.env }, this.t, n);
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}
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cdf(n: number): result<number,error> {
return Constructors_cdf({ env: this.env }, this.t, n);
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}
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inv(n: number): result<number,error> {
return Constructors_inv({ env: this.env }, this.t, n);
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}
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normalize() : result<Distribution, error> {
return this.mapResultDist(
Constructors_normalize({ env: this.env }, this.t)
);
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}
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toPointSet() : result<Distribution, error>{
return this.mapResultDist(
Constructors_toPointSet({ env: this.env }, this.t)
);
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}
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toSampleSet(n: number) : result<Distribution, error>{
return this.mapResultDist(
Constructors_toSampleSet({ env: this.env }, this.t, n)
);
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}
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truncate(left: number, right: number) : result<Distribution, error> {
return this.mapResultDist(
Constructors_truncate({ env: this.env }, this.t, left, right)
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);
}
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inspect() : result<Distribution, error> {
return this.mapResultDist(Constructors_inspect({ env: this.env }, this.t));
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}
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toString(): result<string, error> {
return Constructors_toString({ env: this.env }, this.t);
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}
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toSparkline(n: number): result<string, error> {
return Constructors_toSparkline({ env: this.env }, this.t, n);
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}
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algebraicAdd(d2: Distribution) : result<Distribution, error> {
return this.mapResultDist(
Constructors_algebraicAdd({ env: this.env }, this.t, d2.t)
);
}
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algebraicMultiply(d2: Distribution) : result<Distribution, error> {
return this.mapResultDist(
Constructors_algebraicMultiply({ env: this.env }, this.t, d2.t)
);
}
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algebraicDivide(d2: Distribution) : result<Distribution, error> {
return this.mapResultDist(
Constructors_algebraicDivide({ env: this.env }, this.t, d2.t)
);
}
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algebraicSubtract(d2: Distribution) : result<Distribution, error> {
return this.mapResultDist(
Constructors_algebraicSubtract({ env: this.env }, this.t, d2.t)
);
}
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algebraicLogarithm(d2: Distribution) : result<Distribution, error> {
return this.mapResultDist(
Constructors_algebraicLogarithm({ env: this.env }, this.t, d2.t)
);
}
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algebraicPower(d2: Distribution) : result<Distribution, error>{
return this.mapResultDist(
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Constructors_algebraicPower({ env: this.env }, this.t, d2.t)
);
}
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pointwiseAdd(d2: Distribution) {
return this.mapResultDist(
Constructors_pointwiseAdd({ env: this.env }, this.t, d2.t)
);
}
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pointwiseMultiply(d2: Distribution) : result<Distribution, error>{
return this.mapResultDist(
Constructors_pointwiseMultiply({ env: this.env }, this.t, d2.t)
);
}
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pointwiseDivide(d2: Distribution) : result<Distribution, error>{
return this.mapResultDist(
Constructors_pointwiseDivide({ env: this.env }, this.t, d2.t)
);
}
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pointwiseSubtract(d2: Distribution) : result<Distribution, error>{
return this.mapResultDist(
Constructors_pointwiseSubtract({ env: this.env }, this.t, d2.t)
);
}
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pointwiseLogarithm(d2: Distribution) : result<Distribution, error>{
return this.mapResultDist(
Constructors_pointwiseLogarithm({ env: this.env }, this.t, d2.t)
);
}
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pointwisePower(d2: Distribution) : result<Distribution, error>{
return this.mapResultDist(
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Constructors_pointwisePower({ env: this.env }, this.t, d2.t)
);
}
}