Merge remote-tracking branch 'origin/develop' into score-dist-on-scalar-resolution
This commit is contained in:
Quinn Dougherty
commit
d00b82807c
|
|
@ -31,9 +31,9 @@
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|||
"@testing-library/user-event": "^14.2.0",
|
||||
"@types/jest": "^27.5.0",
|
||||
"@types/lodash": "^4.14.182",
|
||||
"@types/node": "^17.0.32",
|
||||
"@types/node": "^17.0.33",
|
||||
"@types/react": "^18.0.9",
|
||||
"@types/react-dom": "^18.0.2",
|
||||
"@types/react-dom": "^18.0.4",
|
||||
"@types/styled-components": "^5.1.24",
|
||||
"@types/webpack": "^5.28.0",
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||||
"cross-env": "^7.0.3",
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|
|
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|
|
@ -7,6 +7,8 @@ import {
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lambdaValue,
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environment,
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runForeign,
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squiggleExpression,
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errorValue,
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errorValueToString,
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} from "@quri/squiggle-lang";
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import { createClassFromSpec } from "react-vega";
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@ -45,40 +47,40 @@ interface FunctionChartProps {
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environment: environment;
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}
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export const FunctionChart: React.FC<FunctionChartProps> = ({
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fn,
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chartSettings,
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environment,
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}: FunctionChartProps) => {
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let [mouseOverlay, setMouseOverlay] = React.useState(0);
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function handleHover(_name: string, value: unknown) {
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setMouseOverlay(value as number);
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}
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function handleOut() {
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setMouseOverlay(NaN);
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}
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const signalListeners = { mousemove: handleHover, mouseout: handleOut };
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let mouseItem = runForeign(fn, [mouseOverlay], environment);
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let showChart =
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mouseItem.tag === "Ok" && mouseItem.value.tag == "distribution" ? (
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<DistributionChart
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distribution={mouseItem.value.value}
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width={400}
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height={140}
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showSummary={false}
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/>
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) : (
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<></>
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);
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let data1 = _rangeByCount(
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type percentiles = {
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x: number;
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p1: number;
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p5: number;
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p10: number;
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p20: number;
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p30: number;
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p40: number;
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p50: number;
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p60: number;
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p70: number;
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p80: number;
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p90: number;
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p95: number;
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p99: number;
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}[];
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|
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type errors = _.Dictionary<
|
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{
|
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x: number;
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value: string;
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||||
}[]
|
||||
>;
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|
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type point = { x: number; value: result<Distribution, string> };
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let getPercentiles = ({ chartSettings, fn, environment }) => {
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let chartPointsToRender = _rangeByCount(
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chartSettings.start,
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chartSettings.stop,
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chartSettings.count
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);
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type point = { x: number; value: result<Distribution, string> };
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let valueData: point[] = React.useMemo(
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() =>
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data1.map((x) => {
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|
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let chartPointsData: point[] = chartPointsToRender.map((x) => {
|
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let result = runForeign(fn, [x], environment);
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if (result.tag === "Ok") {
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if (result.value.tag == "distribution") {
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|
|
@ -99,15 +101,14 @@ export const FunctionChart: React.FC<FunctionChartProps> = ({
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value: { tag: "Error", value: errorValueToString(result.value) },
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};
|
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}
|
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}),
|
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[environment, fn]
|
||||
);
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});
|
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|
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let initialPartition: [
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{ x: number; value: Distribution }[],
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{ x: number; value: string }[]
|
||||
] = [[], []];
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let [functionImage, errors] = valueData.reduce((acc, current) => {
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|
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let [functionImage, errors] = chartPointsData.reduce((acc, current) => {
|
||||
if (current.value.tag === "Ok") {
|
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acc[0].push({ x: current.x, value: current.value.value });
|
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} else {
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|
|
@ -116,35 +117,83 @@ export const FunctionChart: React.FC<FunctionChartProps> = ({
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return acc;
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}, initialPartition);
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|
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let percentiles = functionImage.map(({ x, value }) => {
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let groupedErrors: errors = _.groupBy(errors, (x) => x.value);
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|
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let percentiles: percentiles = functionImage.map(({ x, value }) => {
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// We convert it to to a pointSet distribution first, so that in case its a sample set
|
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// distribution, it doesn't internally convert it to a pointSet distribution for every
|
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// single inv() call.
|
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let toPointSet: Distribution = unwrap(value.toPointSet());
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return {
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x: x,
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p1: unwrap(value.inv(0.01)),
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p5: unwrap(value.inv(0.05)),
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p10: unwrap(value.inv(0.12)),
|
||||
p20: unwrap(value.inv(0.2)),
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||||
p30: unwrap(value.inv(0.3)),
|
||||
p40: unwrap(value.inv(0.4)),
|
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p50: unwrap(value.inv(0.5)),
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||||
p60: unwrap(value.inv(0.6)),
|
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p70: unwrap(value.inv(0.7)),
|
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p80: unwrap(value.inv(0.8)),
|
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p90: unwrap(value.inv(0.9)),
|
||||
p95: unwrap(value.inv(0.95)),
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p99: unwrap(value.inv(0.99)),
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p1: unwrap(toPointSet.inv(0.01)),
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p5: unwrap(toPointSet.inv(0.05)),
|
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p10: unwrap(toPointSet.inv(0.1)),
|
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p20: unwrap(toPointSet.inv(0.2)),
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p30: unwrap(toPointSet.inv(0.3)),
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p40: unwrap(toPointSet.inv(0.4)),
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p50: unwrap(toPointSet.inv(0.5)),
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p60: unwrap(toPointSet.inv(0.6)),
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p70: unwrap(toPointSet.inv(0.7)),
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p80: unwrap(toPointSet.inv(0.8)),
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p90: unwrap(toPointSet.inv(0.9)),
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p95: unwrap(toPointSet.inv(0.95)),
|
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p99: unwrap(toPointSet.inv(0.99)),
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};
|
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});
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|
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let groupedErrors = _.groupBy(errors, (x) => x.value);
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return { percentiles, errors: groupedErrors };
|
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};
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|
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export const FunctionChart: React.FC<FunctionChartProps> = ({
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fn,
|
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chartSettings,
|
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environment,
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||||
}: FunctionChartProps) => {
|
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let [mouseOverlay, setMouseOverlay] = React.useState(0);
|
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function handleHover(_name: string, value: unknown) {
|
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setMouseOverlay(value as number);
|
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}
|
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function handleOut() {
|
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setMouseOverlay(NaN);
|
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}
|
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const signalListeners = { mousemove: handleHover, mouseout: handleOut };
|
||||
let mouseItem: result<squiggleExpression, errorValue> = !!mouseOverlay
|
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? runForeign(fn, [mouseOverlay], environment)
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: {
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tag: "Error",
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||||
value: {
|
||||
tag: "REExpectedType",
|
||||
value: "Hover x-coordinate returned NaN. Expected a number.",
|
||||
},
|
||||
};
|
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let showChart =
|
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mouseItem.tag === "Ok" && mouseItem.value.tag == "distribution" ? (
|
||||
<DistributionChart
|
||||
distribution={mouseItem.value.value}
|
||||
width={400}
|
||||
height={140}
|
||||
showSummary={false}
|
||||
/>
|
||||
) : (
|
||||
<></>
|
||||
);
|
||||
|
||||
let getPercentilesMemoized = React.useMemo(
|
||||
() => getPercentiles({ chartSettings, fn, environment }),
|
||||
[environment, fn]
|
||||
);
|
||||
|
||||
return (
|
||||
<>
|
||||
<SquigglePercentilesChart
|
||||
data={{ facet: percentiles }}
|
||||
data={{ facet: getPercentilesMemoized.percentiles }}
|
||||
actions={false}
|
||||
signalListeners={signalListeners}
|
||||
/>
|
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{showChart}
|
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{_.entries(groupedErrors).map(([errorName, errorPoints]) => (
|
||||
{_.entries(getPercentilesMemoized.errors).map(
|
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([errorName, errorPoints]) => (
|
||||
<ErrorBox key={errorName} heading={errorName}>
|
||||
Values:{" "}
|
||||
{errorPoints
|
||||
|
|
@ -155,7 +204,8 @@ export const FunctionChart: React.FC<FunctionChartProps> = ({
|
|||
</>
|
||||
))}
|
||||
</ErrorBox>
|
||||
))}
|
||||
)
|
||||
)}
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
|
|
|||
|
|
@ -194,7 +194,10 @@ const SquiggleItem: React.FC<SquiggleItemProps> = ({
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|||
<FunctionChart
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fn={expression.value}
|
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chartSettings={chartSettings}
|
||||
environment={environment}
|
||||
environment={{
|
||||
sampleCount: environment.sampleCount / 10,
|
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xyPointLength: environment.xyPointLength / 10,
|
||||
}}
|
||||
/>
|
||||
);
|
||||
}
|
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|
|
@ -232,7 +235,8 @@ const ChartWrapper = styled.div`
|
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"Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
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`;
|
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|
||||
let defaultChartSettings = { start: 0, stop: 10, count: 100 };
|
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let defaultChartSettings = { start: 0, stop: 10, count: 20 };
|
||||
|
||||
export const SquiggleChart: React.FC<SquiggleChartProps> = ({
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squiggleString = "",
|
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environment,
|
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|
|
|
|||
|
|
@ -56,7 +56,7 @@ export let SquiggleEditor: React.FC<SquiggleEditorProps> = ({
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environment,
|
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diagramStart = 0,
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diagramStop = 10,
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diagramCount = 100,
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diagramCount = 20,
|
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onChange,
|
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bindings = defaultBindings,
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jsImports = defaultImports,
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|
|
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|
|
@ -153,6 +153,20 @@ to allow large and small numbers being printed cleanly.
|
|||
</Story>
|
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</Canvas>
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## Functions
|
||||
|
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<Canvas>
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<Story
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name="Function"
|
||||
args={{
|
||||
squiggleString: "foo(t) = normal(t,2)*normal(5,3); foo",
|
||||
width,
|
||||
}}
|
||||
>
|
||||
{Template.bind({})}
|
||||
</Story>
|
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</Canvas>
|
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|
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## Records
|
||||
|
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<Canvas>
|
||||
|
|
|
|||
|
|
@ -31,6 +31,9 @@ describe("eval on distribution functions", () => {
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testEval("mean(normal(5,2))", "Ok(5)")
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testEval("mean(lognormal(1,2))", "Ok(20.085536923187668)")
|
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testEval("mean(gamma(5,5))", "Ok(25)")
|
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testEval("mean(bernoulli(0.2))", "Ok(0.2)")
|
||||
testEval("mean(bernoulli(0.8))", "Ok(0.8)")
|
||||
testEval("mean(logistic(5,1))", "Ok(5)")
|
||||
})
|
||||
describe("toString", () => {
|
||||
testEval("toString(normal(5,2))", "Ok('Normal(5,2)')")
|
||||
|
|
|
|||
|
|
@ -33,29 +33,29 @@
|
|||
"Rescript"
|
||||
],
|
||||
"author": "Quantified Uncertainty Research Institute",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"rescript": "^9.1.4",
|
||||
"@stdlib/stats": "^0.0.13",
|
||||
"jstat": "^1.9.5",
|
||||
"mathjs": "^10.5.2",
|
||||
"pdfast": "^0.2.0",
|
||||
"mathjs": "^10.5.2"
|
||||
"rescript": "^9.1.4"
|
||||
},
|
||||
"devDependencies": {
|
||||
"bisect_ppx": "^2.7.1",
|
||||
"lodash": "^4.17.21",
|
||||
"rescript-fast-check": "^1.1.1",
|
||||
"@glennsl/rescript-jest": "^0.9.0",
|
||||
"@istanbuljs/nyc-config-typescript": "^1.0.2",
|
||||
"@types/jest": "^27.5.0",
|
||||
"babel-plugin-transform-es2015-modules-commonjs": "^6.26.2",
|
||||
"bisect_ppx": "^2.7.1",
|
||||
"chalk": "^5.0.1",
|
||||
"codecov": "^3.8.3",
|
||||
"fast-check": "^2.25.0",
|
||||
"gentype": "^4.3.0",
|
||||
"jest": "^27.5.1",
|
||||
"lodash": "^4.17.21",
|
||||
"moduleserve": "^0.9.1",
|
||||
"nyc": "^15.1.0",
|
||||
"reanalyze": "^2.19.0",
|
||||
"rescript-fast-check": "^1.1.1",
|
||||
"ts-jest": "^27.1.4",
|
||||
"ts-loader": "^9.3.0",
|
||||
"ts-node": "^10.7.0",
|
||||
|
|
|
|||
|
|
@ -18,6 +18,7 @@ type outputType =
|
|||
| Dist(genericDist)
|
||||
| Float(float)
|
||||
| String(string)
|
||||
| FloatArray(array<float>)
|
||||
| Bool(bool)
|
||||
| GenDistError(error)
|
||||
|
||||
|
|
|
|||
|
|
@ -14,6 +14,7 @@ type outputType =
|
|||
| Dist(genericDist)
|
||||
| Float(float)
|
||||
| String(string)
|
||||
| FloatArray(array<float>)
|
||||
| Bool(bool)
|
||||
| GenDistError(error)
|
||||
|
||||
|
|
|
|||
|
|
@ -216,6 +216,50 @@ module Uniform = {
|
|||
}
|
||||
}
|
||||
|
||||
module Logistic = {
|
||||
type t = logistic
|
||||
let make = (location, scale) =>
|
||||
scale > 0.0
|
||||
? 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)
|
||||
let inv = (p, t: t) => Stdlib.Logistic.quantile(p, t.location, t.scale)
|
||||
let sample = (t: t) => {
|
||||
let s = Uniform.sample({low: 0.0, high: 1.0})
|
||||
inv(s, t)
|
||||
}
|
||||
let mean = (t: t) => Ok(Stdlib.Logistic.mean(t.location, t.scale))
|
||||
let toString = ({location, scale}: t) => j`Logistic($location,$scale)`
|
||||
}
|
||||
|
||||
module Bernoulli = {
|
||||
type t = bernoulli
|
||||
let make = p =>
|
||||
p >= 0.0 && p <= 1.0
|
||||
? Ok(#Bernoulli({p: p}))
|
||||
: Error("Bernoulli parameter must be between 0 and 1")
|
||||
let pmf = (x, t: t) => Stdlib.Bernoulli.pmf(x, t.p)
|
||||
|
||||
//Bernoulli is a discrete distribution, so it doesn't really have a pdf().
|
||||
//We fake this for now with the pmf function, but this should be fixed at some point.
|
||||
let pdf = (x, t: t) => Stdlib.Bernoulli.pmf(x, t.p)
|
||||
let cdf = (x, t: t) => Stdlib.Bernoulli.cdf(x, t.p)
|
||||
let inv = (p, t: t) => Stdlib.Bernoulli.quantile(p, t.p)
|
||||
let mean = (t: t) => Ok(Stdlib.Bernoulli.mean(t.p))
|
||||
let min = (t: t) => t.p == 1.0 ? 1.0 : 0.0
|
||||
let max = (t: t) => t.p == 0.0 ? 0.0 : 1.0
|
||||
let sample = (t: t) => {
|
||||
let s = Uniform.sample({low: 0.0, high: 1.0})
|
||||
inv(s, t)
|
||||
}
|
||||
let toString = ({p}: t) => j`Bernoulli($p)`
|
||||
let toPointSetDist = ({p}: t): PointSetTypes.pointSetDist => Discrete(
|
||||
Discrete.make(~integralSumCache=Some(1.0), {xs: [0.0, 1.0], ys: [1.0 -. p, p]}),
|
||||
)
|
||||
}
|
||||
|
||||
module Gamma = {
|
||||
type t = gamma
|
||||
let make = (shape: float, scale: float) => {
|
||||
|
|
@ -252,6 +296,9 @@ module Float = {
|
|||
let mean = (t: t) => Ok(t)
|
||||
let sample = (t: t) => t
|
||||
let toString = (t: t) => j`Delta($t)`
|
||||
let toPointSetDist = (t: t): PointSetTypes.pointSetDist => Discrete(
|
||||
Discrete.make(~integralSumCache=Some(1.0), {xs: [t], ys: [1.0]}),
|
||||
)
|
||||
}
|
||||
|
||||
module From90thPercentile = {
|
||||
|
|
@ -275,9 +322,11 @@ module T = {
|
|||
| #Cauchy(n) => Cauchy.pdf(x, n)
|
||||
| #Gamma(n) => Gamma.pdf(x, n)
|
||||
| #Lognormal(n) => Lognormal.pdf(x, n)
|
||||
| #Logistic(n) => Logistic.pdf(x, n)
|
||||
| #Uniform(n) => Uniform.pdf(x, n)
|
||||
| #Beta(n) => Beta.pdf(x, n)
|
||||
| #Float(n) => Float.pdf(x, n)
|
||||
| #Bernoulli(n) => Bernoulli.pdf(x, n)
|
||||
}
|
||||
|
||||
let cdf = (x, dist) =>
|
||||
|
|
@ -287,10 +336,12 @@ module T = {
|
|||
| #Exponential(n) => Exponential.cdf(x, n)
|
||||
| #Cauchy(n) => Cauchy.cdf(x, n)
|
||||
| #Gamma(n) => Gamma.cdf(x, n)
|
||||
| #Logistic(n) => Logistic.cdf(x, n)
|
||||
| #Lognormal(n) => Lognormal.cdf(x, n)
|
||||
| #Uniform(n) => Uniform.cdf(x, n)
|
||||
| #Beta(n) => Beta.cdf(x, n)
|
||||
| #Float(n) => Float.cdf(x, n)
|
||||
| #Bernoulli(n) => Bernoulli.cdf(x, n)
|
||||
}
|
||||
|
||||
let inv = (x, dist) =>
|
||||
|
|
@ -300,10 +351,12 @@ module T = {
|
|||
| #Exponential(n) => Exponential.inv(x, n)
|
||||
| #Cauchy(n) => Cauchy.inv(x, n)
|
||||
| #Gamma(n) => Gamma.inv(x, n)
|
||||
| #Logistic(n) => Logistic.inv(x, n)
|
||||
| #Lognormal(n) => Lognormal.inv(x, n)
|
||||
| #Uniform(n) => Uniform.inv(x, n)
|
||||
| #Beta(n) => Beta.inv(x, n)
|
||||
| #Float(n) => Float.inv(x, n)
|
||||
| #Bernoulli(n) => Bernoulli.inv(x, n)
|
||||
}
|
||||
|
||||
let sample: symbolicDist => float = x =>
|
||||
|
|
@ -313,10 +366,12 @@ module T = {
|
|||
| #Exponential(n) => Exponential.sample(n)
|
||||
| #Cauchy(n) => Cauchy.sample(n)
|
||||
| #Gamma(n) => Gamma.sample(n)
|
||||
| #Logistic(n) => Logistic.sample(n)
|
||||
| #Lognormal(n) => Lognormal.sample(n)
|
||||
| #Uniform(n) => Uniform.sample(n)
|
||||
| #Beta(n) => Beta.sample(n)
|
||||
| #Float(n) => Float.sample(n)
|
||||
| #Bernoulli(n) => Bernoulli.sample(n)
|
||||
}
|
||||
|
||||
let doN = (n, fn) => {
|
||||
|
|
@ -336,10 +391,12 @@ module T = {
|
|||
| #Cauchy(n) => Cauchy.toString(n)
|
||||
| #Normal(n) => Normal.toString(n)
|
||||
| #Gamma(n) => Gamma.toString(n)
|
||||
| #Logistic(n) => Logistic.toString(n)
|
||||
| #Lognormal(n) => Lognormal.toString(n)
|
||||
| #Uniform(n) => Uniform.toString(n)
|
||||
| #Beta(n) => Beta.toString(n)
|
||||
| #Float(n) => Float.toString(n)
|
||||
| #Bernoulli(n) => Bernoulli.toString(n)
|
||||
}
|
||||
|
||||
let min: symbolicDist => float = x =>
|
||||
|
|
@ -349,8 +406,10 @@ module T = {
|
|||
| #Cauchy(n) => Cauchy.inv(minCdfValue, n)
|
||||
| #Normal(n) => Normal.inv(minCdfValue, n)
|
||||
| #Lognormal(n) => Lognormal.inv(minCdfValue, n)
|
||||
| #Logistic(n) => Logistic.inv(minCdfValue, n)
|
||||
| #Gamma(n) => Gamma.inv(minCdfValue, n)
|
||||
| #Uniform({low}) => low
|
||||
| #Bernoulli(n) => Bernoulli.min(n)
|
||||
| #Beta(n) => Beta.inv(minCdfValue, n)
|
||||
| #Float(n) => n
|
||||
}
|
||||
|
|
@ -363,7 +422,9 @@ module T = {
|
|||
| #Normal(n) => Normal.inv(maxCdfValue, n)
|
||||
| #Gamma(n) => Gamma.inv(maxCdfValue, n)
|
||||
| #Lognormal(n) => Lognormal.inv(maxCdfValue, n)
|
||||
| #Logistic(n) => Logistic.inv(maxCdfValue, n)
|
||||
| #Beta(n) => Beta.inv(maxCdfValue, n)
|
||||
| #Bernoulli(n) => Bernoulli.max(n)
|
||||
| #Uniform({high}) => high
|
||||
| #Float(n) => n
|
||||
}
|
||||
|
|
@ -376,8 +437,10 @@ module T = {
|
|||
| #Normal(n) => Normal.mean(n)
|
||||
| #Lognormal(n) => Lognormal.mean(n)
|
||||
| #Beta(n) => Beta.mean(n)
|
||||
| #Logistic(n) => Logistic.mean(n)
|
||||
| #Uniform(n) => Uniform.mean(n)
|
||||
| #Gamma(n) => Gamma.mean(n)
|
||||
| #Bernoulli(n) => Bernoulli.mean(n)
|
||||
| #Float(n) => Float.mean(n)
|
||||
}
|
||||
|
||||
|
|
@ -453,7 +516,8 @@ module T = {
|
|||
d: symbolicDist,
|
||||
): PointSetTypes.pointSetDist =>
|
||||
switch d {
|
||||
| #Float(v) => Discrete(Discrete.make(~integralSumCache=Some(1.0), {xs: [v], ys: [1.0]}))
|
||||
| #Float(v) => Float.toPointSetDist(v)
|
||||
| #Bernoulli(v) => Bernoulli.toPointSetDist(v)
|
||||
| _ =>
|
||||
let xs = interpolateXs(~xSelection, d, sampleCount)
|
||||
let ys = xs |> E.A.fmap(x => pdf(x, d))
|
||||
|
|
|
|||
|
|
@ -36,6 +36,13 @@ type gamma = {
|
|||
scale: float,
|
||||
}
|
||||
|
||||
type logistic = {
|
||||
location: float,
|
||||
scale: float,
|
||||
}
|
||||
|
||||
type bernoulli = {p: float}
|
||||
|
||||
@genType
|
||||
type symbolicDist = [
|
||||
| #Normal(normal)
|
||||
|
|
@ -47,6 +54,8 @@ type symbolicDist = [
|
|||
| #Triangular(triangular)
|
||||
| #Gamma(gamma)
|
||||
| #Float(float)
|
||||
| #Bernoulli(bernoulli)
|
||||
| #Logistic(logistic)
|
||||
]
|
||||
|
||||
type analyticalSimplificationResult = [
|
||||
|
|
|
|||
|
|
@ -186,6 +186,7 @@ module SymbolicConstructors = {
|
|||
let oneFloat = name =>
|
||||
switch name {
|
||||
| "exponential" => Ok(SymbolicDist.Exponential.make)
|
||||
| "bernoulli" => Ok(SymbolicDist.Bernoulli.make)
|
||||
| _ => Error("Unreachable state")
|
||||
}
|
||||
|
||||
|
|
@ -195,6 +196,7 @@ module SymbolicConstructors = {
|
|||
| "uniform" => Ok(SymbolicDist.Uniform.make)
|
||||
| "beta" => Ok(SymbolicDist.Beta.make)
|
||||
| "lognormal" => Ok(SymbolicDist.Lognormal.make)
|
||||
| "logistic" => Ok(SymbolicDist.Logistic.make)
|
||||
| "cauchy" => Ok(SymbolicDist.Cauchy.make)
|
||||
| "gamma" => Ok(SymbolicDist.Gamma.make)
|
||||
| "to" => Ok(SymbolicDist.From90thPercentile.make)
|
||||
|
|
@ -222,14 +224,21 @@ let dispatchToGenericOutput = (
|
|||
): option<DistributionOperation.outputType> => {
|
||||
let (fnName, args) = call
|
||||
switch (fnName, args) {
|
||||
| ("exponential" as fnName, [EvNumber(f)]) =>
|
||||
| (("exponential" | "bernoulli") as fnName, [EvNumber(f)]) =>
|
||||
SymbolicConstructors.oneFloat(fnName)
|
||||
->E.R.bind(r => r(f))
|
||||
->SymbolicConstructors.symbolicResultToOutput
|
||||
| ("delta", [EvNumber(f)]) =>
|
||||
SymbolicDist.Float.makeSafe(f)->SymbolicConstructors.symbolicResultToOutput
|
||||
| (
|
||||
("normal" | "uniform" | "beta" | "lognormal" | "cauchy" | "gamma" | "to") as fnName,
|
||||
("normal"
|
||||
| "uniform"
|
||||
| "beta"
|
||||
| "lognormal"
|
||||
| "cauchy"
|
||||
| "gamma"
|
||||
| "to"
|
||||
| "logistic") as fnName,
|
||||
[EvNumber(f1), EvNumber(f2)],
|
||||
) =>
|
||||
SymbolicConstructors.twoFloat(fnName)
|
||||
|
|
@ -240,6 +249,8 @@ let dispatchToGenericOutput = (
|
|||
->E.R.bind(r => r(f1, f2, f3))
|
||||
->SymbolicConstructors.symbolicResultToOutput
|
||||
| ("sample", [EvDistribution(dist)]) => Helpers.toFloatFn(#Sample, dist, ~env)
|
||||
| ("sampleN", [EvDistribution(dist), EvNumber(n)]) =>
|
||||
Some(FloatArray(GenericDist.sampleN(dist, Belt.Int.fromFloat(n))))
|
||||
| ("mean", [EvDistribution(dist)]) => Helpers.toFloatFn(#Mean, dist, ~env)
|
||||
| ("integralSum", [EvDistribution(dist)]) => Helpers.toFloatFn(#IntegralSum, dist, ~env)
|
||||
| ("toString", [EvDistribution(dist)]) => Helpers.toStringFn(ToString, dist, ~env)
|
||||
|
|
@ -373,6 +384,7 @@ let genericOutputToReducerValue = (o: DistributionOperation.outputType): result<
|
|||
| Float(d) => Ok(EvNumber(d))
|
||||
| String(d) => Ok(EvString(d))
|
||||
| Bool(d) => Ok(EvBool(d))
|
||||
| FloatArray(d) => Ok(EvArray(d |> E.A.fmap(r => ReducerInterface_ExpressionValue.EvNumber(r))))
|
||||
| GenDistError(err) => Error(REDistributionError(err))
|
||||
}
|
||||
|
||||
|
|
|
|||
40
packages/squiggle-lang/src/rescript/Utility/Stdlib.res
Normal file
40
packages/squiggle-lang/src/rescript/Utility/Stdlib.res
Normal file
|
|
@ -0,0 +1,40 @@
|
|||
module Bernoulli = {
|
||||
@module external cdf: (float, float) => float = "@stdlib/stats/base/dists/bernoulli/cdf"
|
||||
let cdf = cdf
|
||||
|
||||
@module external pmf: (float, float) => float = "@stdlib/stats/base/dists/bernoulli/pmf"
|
||||
let pmf = pmf
|
||||
|
||||
@module external quantile: (float, float) => float = "@stdlib/stats/base/dists/bernoulli/quantile"
|
||||
let quantile = quantile
|
||||
|
||||
@module external mean: float => float = "@stdlib/stats/base/dists/bernoulli/mean"
|
||||
let mean = mean
|
||||
|
||||
@module external stdev: float => float = "@stdlib/stats/base/dists/bernoulli/stdev"
|
||||
let stdev = stdev
|
||||
|
||||
@module external variance: float => float = "@stdlib/stats/base/dists/bernoulli/variance"
|
||||
let variance = variance
|
||||
}
|
||||
|
||||
module Logistic = {
|
||||
@module external cdf: (float, float, float) => float = "@stdlib/stats/base/dists/logistic/cdf"
|
||||
let cdf = cdf
|
||||
|
||||
@module external pdf: (float, float, float) => float = "@stdlib/stats/base/dists/logistic/pdf"
|
||||
let pdf = pdf
|
||||
|
||||
@module
|
||||
external quantile: (float, float, float) => float = "@stdlib/stats/base/dists/logistic/quantile"
|
||||
let quantile = quantile
|
||||
|
||||
@module external mean: (float, float) => float = "@stdlib/stats/base/dists/logistic/mean"
|
||||
let mean = mean
|
||||
|
||||
@module external stdev: (float, float) => float = "@stdlib/stats/base/dists/logistic/stdev"
|
||||
let stdev = stdev
|
||||
|
||||
@module external variance: (float, float) => float = "@stdlib/stats/base/dists/logistic/variance"
|
||||
let variance = variance
|
||||
}
|
||||
|
|
@ -16,7 +16,7 @@
|
|||
"@docusaurus/preset-classic": "2.0.0-beta.20",
|
||||
"@quri/squiggle-components": "^0.2.20",
|
||||
"clsx": "^1.1.1",
|
||||
"prism-react-renderer": "^1.2.1",
|
||||
"prism-react-renderer": "^1.3.3",
|
||||
"react": "^18.1.0",
|
||||
"react-dom": "^18.1.0",
|
||||
"remark-math": "^3",
|
||||
|
|
|
|||
355
yarn.lock
355
yarn.lock
|
|
@ -2502,6 +2502,335 @@
|
|||
eval "^0.1.8"
|
||||
webpack-sources "^1.4.3"
|
||||
|
||||
"@stdlib/array@^0.0.x":
|
||||
version "0.0.12"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/array/-/array-0.0.12.tgz#12f40ab95bb36d424cdad991f29fc3cb491ee29e"
|
||||
integrity sha512-nDksiuvRC1dSTHrf5yOGQmlRwAzSKV8MdFQwFSvLbZGGhi5Y4hExqea5HloLgNVouVs8lnAFi2oubSM4Mc7YAg==
|
||||
dependencies:
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/blas" "^0.0.x"
|
||||
"@stdlib/complex" "^0.0.x"
|
||||
"@stdlib/constants" "^0.0.x"
|
||||
"@stdlib/math" "^0.0.x"
|
||||
"@stdlib/symbol" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/assert@^0.0.x":
|
||||
version "0.0.12"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/assert/-/assert-0.0.12.tgz#1648c9016e5041291f55a6464abcc4069c5103ce"
|
||||
integrity sha512-38FxFf+ZoQZbdc+m09UsWtaCmzd/2e7im0JOaaFYE7icmRfm+4KiE9BRvBT4tIn7ioLB2f9PsBicKjIsf+tY1w==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/cli" "^0.0.x"
|
||||
"@stdlib/complex" "^0.0.x"
|
||||
"@stdlib/constants" "^0.0.x"
|
||||
"@stdlib/fs" "^0.0.x"
|
||||
"@stdlib/math" "^0.0.x"
|
||||
"@stdlib/ndarray" "^0.0.x"
|
||||
"@stdlib/number" "^0.0.x"
|
||||
"@stdlib/os" "^0.0.x"
|
||||
"@stdlib/process" "^0.0.x"
|
||||
"@stdlib/regexp" "^0.0.x"
|
||||
"@stdlib/streams" "^0.0.x"
|
||||
"@stdlib/string" "^0.0.x"
|
||||
"@stdlib/symbol" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/bigint@^0.0.x":
|
||||
version "0.0.11"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/bigint/-/bigint-0.0.11.tgz#c416a1d727001c55f4897e6424124199d638f2fd"
|
||||
integrity sha512-uz0aYDLABAYyqxaCSHYbUt0yPkXYUCR7TrVvHN+UUD3i8FZ02ZKcLO+faKisDyxKEoSFTNtn3Ro8Ir5ebOlVXQ==
|
||||
dependencies:
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/blas@^0.0.x":
|
||||
version "0.0.12"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/blas/-/blas-0.0.12.tgz#7e93e42b4621fc6903bf63264f045047333536c2"
|
||||
integrity sha512-nWY749bWceuoWQ7gz977blCwR7lyQ/rsIXVO4b600h+NFpeA2i/ea7MYC680utIbeu2cnDWHdglBPoK535VAzA==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/math" "^0.0.x"
|
||||
"@stdlib/number" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/buffer@^0.0.x":
|
||||
version "0.0.11"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/buffer/-/buffer-0.0.11.tgz#6137b00845e6c905181cc7ebfae9f7e47c01b0ce"
|
||||
integrity sha512-Jeie5eDDa1tVuRcuU+cBXI/oOXSmMxUUccZpqXzgYe0IO8QSNtNxv9mUTzJk/m5wH+lmLoDvNxzPpOH9TODjJg==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/process" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/cli@^0.0.x":
|
||||
version "0.0.10"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/cli/-/cli-0.0.10.tgz#28e2fbe6865d7f5cd15b7dc5846c99bd3b91674f"
|
||||
integrity sha512-OITGaxG46kwK799+NuOd/+ccosJ9koVuQBC610DDJv0ZJf8mD7sbjGXrmue9C4EOh8MP7Vm/6HN14BojX8oTCg==
|
||||
dependencies:
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
minimist "^1.2.0"
|
||||
|
||||
"@stdlib/complex@^0.0.x":
|
||||
version "0.0.12"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/complex/-/complex-0.0.12.tgz#3afbc190cd0a9b37fc7c6e508c3aa9fda9106944"
|
||||
integrity sha512-UbZBdaUxT2G+lsTIrVlRZwx2IRY6GXnVILggeejsIVxHSuK+oTyapfetcAv0FJFLP+Rrr+ZzrN4b9G3hBw6NHA==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/constants@^0.0.x":
|
||||
version "0.0.11"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/constants/-/constants-0.0.11.tgz#78cd56d6c2982b30264843c3d75bde7125e90cd2"
|
||||
integrity sha512-cWKy0L9hXHUQTvFzdPkTvZnn/5Pjv7H4UwY0WC1rLt+A5CxFDJKjvnIi9ypSzJS3CAiGl1ZaHCdadoqXhNdkUg==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/number" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
|
||||
"@stdlib/fs@^0.0.x":
|
||||
version "0.0.12"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/fs/-/fs-0.0.12.tgz#662365fd5846a51f075724b4f2888ae88441b70d"
|
||||
integrity sha512-zcDLbt39EEM3M3wJW6luChS53B8T+TMJkjs2526UpKJ71O0/0adR57cI7PfCpkMd33d05uM7GM+leEj4eks4Cw==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/cli" "^0.0.x"
|
||||
"@stdlib/math" "^0.0.x"
|
||||
"@stdlib/process" "^0.0.x"
|
||||
"@stdlib/string" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
debug "^2.6.9"
|
||||
|
||||
"@stdlib/math@^0.0.x":
|
||||
version "0.0.11"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/math/-/math-0.0.11.tgz#eb6638bc03a20fbd6727dd5b977ee0170bda4649"
|
||||
integrity sha512-qI78sR1QqGjHj8k/aAqkZ51Su2fyBvaR/jMKQqcB/ML8bpYpf+QGlGvTty5Qdru/wpqds4kVFOVbWGcNFIV2+Q==
|
||||
dependencies:
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/constants" "^0.0.x"
|
||||
"@stdlib/ndarray" "^0.0.x"
|
||||
"@stdlib/number" "^0.0.x"
|
||||
"@stdlib/strided" "^0.0.x"
|
||||
"@stdlib/symbol" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
"@stdlib/utils" "^0.0.x"
|
||||
debug "^2.6.9"
|
||||
|
||||
"@stdlib/ndarray@^0.0.x":
|
||||
version "0.0.13"
|
||||
resolved "https://registry.yarnpkg.com/@stdlib/ndarray/-/ndarray-0.0.13.tgz#2e8fc645e10f56a645a0ab81598808c0e8f43b82"
|
||||
integrity sha512-Z+U9KJP4U2HWrLtuAXSPvhNetAdqaNLMcliR6S/fz+VPlFDeymRK7omRFMgVQ+1zcAvIgKZGJxpLC3vjiPUYEw==
|
||||
dependencies:
|
||||
"@stdlib/array" "^0.0.x"
|
||||
"@stdlib/assert" "^0.0.x"
|
||||
"@stdlib/bigint" "^0.0.x"
|
||||
"@stdlib/buffer" "^0.0.x"
|
||||
"@stdlib/complex" "^0.0.x"
|
||||
"@stdlib/constants" "^0.0.x"
|
||||
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||||
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|
||||
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
"@stdlib/cli" "^0.0.x"
|
||||
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|
||||
"@stdlib/fs" "^0.0.x"
|
||||
"@stdlib/math" "^0.0.x"
|
||||
"@stdlib/os" "^0.0.x"
|
||||
"@stdlib/process" "^0.0.x"
|
||||
"@stdlib/random" "^0.0.x"
|
||||
"@stdlib/regexp" "^0.0.x"
|
||||
"@stdlib/streams" "^0.0.x"
|
||||
"@stdlib/string" "^0.0.x"
|
||||
"@stdlib/symbol" "^0.0.x"
|
||||
"@stdlib/time" "^0.0.x"
|
||||
"@stdlib/types" "^0.0.x"
|
||||
debug "^2.6.9"
|
||||
|
||||
"@storybook/addon-actions@6.4.22", "@storybook/addon-actions@^6.4.22":
|
||||
version "6.4.22"
|
||||
resolved "https://registry.yarnpkg.com/@storybook/addon-actions/-/addon-actions-6.4.22.tgz#ec1b4332e76a8021dc0a1375dfd71a0760457588"
|
||||
|
|
@ -4038,10 +4367,10 @@
|
|||
"@types/node" "*"
|
||||
form-data "^3.0.0"
|
||||
|
||||
"@types/node@*", "@types/node@^17.0.32", "@types/node@^17.0.5":
|
||||
version "17.0.32"
|
||||
resolved "https://registry.yarnpkg.com/@types/node/-/node-17.0.32.tgz#51d59d7a90ef2d0ae961791e0900cad2393a0149"
|
||||
integrity sha512-eAIcfAvhf/BkHcf4pkLJ7ECpBAhh9kcxRBpip9cTiO+hf+aJrsxYxBeS6OXvOd9WqNAJmavXVpZvY1rBjNsXmw==
|
||||
"@types/node@*", "@types/node@^17.0.33", "@types/node@^17.0.5":
|
||||
version "17.0.33"
|
||||
resolved "https://registry.yarnpkg.com/@types/node/-/node-17.0.33.tgz#3c1879b276dc63e73030bb91165e62a4509cd506"
|
||||
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|
||||
|
||||
"@types/node@^14.0.10":
|
||||
version "14.18.16"
|
||||
|
|
@ -4108,10 +4437,10 @@
|
|||
resolved "https://registry.yarnpkg.com/@types/range-parser/-/range-parser-1.2.4.tgz#cd667bcfdd025213aafb7ca5915a932590acdcdc"
|
||||
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|
||||
|
||||
"@types/react-dom@^18.0.0", "@types/react-dom@^18.0.2":
|
||||
version "18.0.3"
|
||||
resolved "https://registry.yarnpkg.com/@types/react-dom/-/react-dom-18.0.3.tgz#a022ea08c75a476fe5e96b675c3e673363853831"
|
||||
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|
||||
"@types/react-dom@^18.0.0", "@types/react-dom@^18.0.4":
|
||||
version "18.0.4"
|
||||
resolved "https://registry.yarnpkg.com/@types/react-dom/-/react-dom-18.0.4.tgz#dcbcadb277bcf6c411ceff70069424c57797d375"
|
||||
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|
||||
dependencies:
|
||||
"@types/react" "*"
|
||||
|
||||
|
|
@ -13678,10 +14007,10 @@ pretty-time@^1.1.0:
|
|||
resolved "https://registry.yarnpkg.com/pretty-time/-/pretty-time-1.1.0.tgz#ffb7429afabb8535c346a34e41873adf3d74dd0e"
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||||
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||||
|
||||
prism-react-renderer@^1.2.1, prism-react-renderer@^1.3.1:
|
||||
version "1.3.1"
|
||||
resolved "https://registry.yarnpkg.com/prism-react-renderer/-/prism-react-renderer-1.3.1.tgz#88fc9d0df6bed06ca2b9097421349f8c2f24e30d"
|
||||
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|
||||
prism-react-renderer@^1.3.1, prism-react-renderer@^1.3.3:
|
||||
version "1.3.3"
|
||||
resolved "https://registry.yarnpkg.com/prism-react-renderer/-/prism-react-renderer-1.3.3.tgz#9b5a4211a6756eee3c96fee9a05733abc0b0805c"
|
||||
integrity sha512-Viur/7tBTCH2HmYzwCHmt2rEFn+rdIWNIINXyg0StiISbDiIhHKhrFuEK8eMkKgvsIYSjgGqy/hNyucHp6FpoQ==
|
||||
|
||||
prismjs@^1.21.0, prismjs@^1.28.0:
|
||||
version "1.28.0"
|
||||
|
|
@ -14375,7 +14704,7 @@ read-pkg@^5.2.0:
|
|||
parse-json "^5.0.0"
|
||||
type-fest "^0.6.0"
|
||||
|
||||
"readable-stream@1 || 2", readable-stream@^2.0.0, readable-stream@^2.0.1, readable-stream@^2.0.2, readable-stream@^2.1.5, readable-stream@^2.2.2, readable-stream@^2.3.3, readable-stream@^2.3.6, readable-stream@~2.3.6:
|
||||
"readable-stream@1 || 2", readable-stream@^2.0.0, readable-stream@^2.0.1, readable-stream@^2.0.2, readable-stream@^2.1.4, readable-stream@^2.1.5, readable-stream@^2.2.2, readable-stream@^2.3.3, readable-stream@^2.3.6, readable-stream@~2.3.6:
|
||||
version "2.3.7"
|
||||
resolved "https://registry.yarnpkg.com/readable-stream/-/readable-stream-2.3.7.tgz#1eca1cf711aef814c04f62252a36a62f6cb23b57"
|
||||
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|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user