Erster Docker-Stand

_node_modules/fast-check/lib/esm/check/runner/Sampler.js

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+import { stream } from '../../stream/Stream.js';
+import { Property } from '../property/Property.generic.js';
+import { UnbiasedProperty } from '../property/UnbiasedProperty.js';
+import { readConfigureGlobal } from './configuration/GlobalParameters.js';
+import { QualifiedParameters } from './configuration/QualifiedParameters.js';
+import { lazyToss, toss } from './Tosser.js';
+import { pathWalk } from './utils/PathWalker.js';
+function toProperty(generator, qParams) {
+    const prop = !Object.prototype.hasOwnProperty.call(generator, 'isAsync')
+        ? new Property(generator, () => true)
+        : generator;
+    return qParams.unbiased === true ? new UnbiasedProperty(prop) : prop;
+}
+function streamSample(generator, params) {
+    const extendedParams = typeof params === 'number'
+        ? Object.assign(Object.assign({}, readConfigureGlobal()), { numRuns: params }) : Object.assign(Object.assign({}, readConfigureGlobal()), params);
+    const qParams = QualifiedParameters.read(extendedParams);
+    const nextProperty = toProperty(generator, qParams);
+    const shrink = nextProperty.shrink.bind(nextProperty);
+    const tossedValues = qParams.path.length === 0
+        ? stream(toss(nextProperty, qParams.seed, qParams.randomType, qParams.examples))
+        : pathWalk(qParams.path, stream(lazyToss(nextProperty, qParams.seed, qParams.randomType, qParams.examples)), shrink);
+    return tossedValues.take(qParams.numRuns).map((s) => s.value_);
+}
+function sample(generator, params) {
+    return [...streamSample(generator, params)];
+}
+function round2(n) {
+    return (Math.round(n * 100) / 100).toFixed(2);
+}
+function statistics(generator, classify, params) {
+    const extendedParams = typeof params === 'number'
+        ? Object.assign(Object.assign({}, readConfigureGlobal()), { numRuns: params }) : Object.assign(Object.assign({}, readConfigureGlobal()), params);
+    const qParams = QualifiedParameters.read(extendedParams);
+    const recorded = {};
+    for (const g of streamSample(generator, params)) {
+        const out = classify(g);
+        const categories = Array.isArray(out) ? out : [out];
+        for (const c of categories) {
+            recorded[c] = (recorded[c] || 0) + 1;
+        }
+    }
+    const data = Object.entries(recorded)
+        .sort((a, b) => b[1] - a[1])
+        .map((i) => [i[0], `${round2((i[1] * 100.0) / qParams.numRuns)}%`]);
+    const longestName = data.map((i) => i[0].length).reduce((p, c) => Math.max(p, c), 0);
+    const longestPercent = data.map((i) => i[1].length).reduce((p, c) => Math.max(p, c), 0);
+    for (const item of data) {
+        qParams.logger(`${item[0].padEnd(longestName, '.')}..${item[1].padStart(longestPercent, '.')}`);
+    }
+}
+export { sample, statistics };