56 lines
3.0 KiB
JavaScript
56 lines
3.0 KiB
JavaScript
"use strict";
|
|
Object.defineProperty(exports, "__esModule", { value: true });
|
|
exports.sample = sample;
|
|
exports.statistics = statistics;
|
|
const Stream_1 = require("../../stream/Stream");
|
|
const Property_generic_1 = require("../property/Property.generic");
|
|
const UnbiasedProperty_1 = require("../property/UnbiasedProperty");
|
|
const GlobalParameters_1 = require("./configuration/GlobalParameters");
|
|
const QualifiedParameters_1 = require("./configuration/QualifiedParameters");
|
|
const Tosser_1 = require("./Tosser");
|
|
const PathWalker_1 = require("./utils/PathWalker");
|
|
function toProperty(generator, qParams) {
|
|
const prop = !Object.prototype.hasOwnProperty.call(generator, 'isAsync')
|
|
? new Property_generic_1.Property(generator, () => true)
|
|
: generator;
|
|
return qParams.unbiased === true ? new UnbiasedProperty_1.UnbiasedProperty(prop) : prop;
|
|
}
|
|
function streamSample(generator, params) {
|
|
const extendedParams = typeof params === 'number'
|
|
? Object.assign(Object.assign({}, (0, GlobalParameters_1.readConfigureGlobal)()), { numRuns: params }) : Object.assign(Object.assign({}, (0, GlobalParameters_1.readConfigureGlobal)()), params);
|
|
const qParams = QualifiedParameters_1.QualifiedParameters.read(extendedParams);
|
|
const nextProperty = toProperty(generator, qParams);
|
|
const shrink = nextProperty.shrink.bind(nextProperty);
|
|
const tossedValues = qParams.path.length === 0
|
|
? (0, Stream_1.stream)((0, Tosser_1.toss)(nextProperty, qParams.seed, qParams.randomType, qParams.examples))
|
|
: (0, PathWalker_1.pathWalk)(qParams.path, (0, Stream_1.stream)((0, Tosser_1.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({}, (0, GlobalParameters_1.readConfigureGlobal)()), { numRuns: params }) : Object.assign(Object.assign({}, (0, GlobalParameters_1.readConfigureGlobal)()), params);
|
|
const qParams = QualifiedParameters_1.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, '.')}`);
|
|
}
|
|
}
|