285 lines
8.7 KiB
JavaScript
285 lines
8.7 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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exports.createQuantileSeq = void 0;
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var _is = require("../../utils/is.js");
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var _number = require("../../utils/number.js");
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var _array = require("../../utils/array.js");
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var _factory = require("../../utils/factory.js");
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var name = 'quantileSeq';
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var dependencies = ['typed', 'add', 'multiply', 'partitionSelect', 'compare'];
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var createQuantileSeq = /* #__PURE__ */(0, _factory.factory)(name, dependencies, function (_ref) {
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var typed = _ref.typed,
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add = _ref.add,
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multiply = _ref.multiply,
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partitionSelect = _ref.partitionSelect,
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compare = _ref.compare;
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/**
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* Compute the prob order quantile of a matrix or a list with values.
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* The sequence is sorted and the middle value is returned.
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* Supported types of sequence values are: Number, BigNumber, Unit
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* Supported types of probability are: Number, BigNumber
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*
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* In case of a (multi dimensional) array or matrix, the prob order quantile
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* of all elements will be calculated.
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*
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* Syntax:
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*
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* math.quantileSeq(A, prob[, sorted])
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* math.quantileSeq(A, [prob1, prob2, ...][, sorted])
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* math.quantileSeq(A, N[, sorted])
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*
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* Examples:
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*
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* math.quantileSeq([3, -1, 5, 7], 0.5) // returns 4
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* math.quantileSeq([3, -1, 5, 7], [1/3, 2/3]) // returns [3, 5]
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* math.quantileSeq([3, -1, 5, 7], 2) // returns [3, 5]
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* math.quantileSeq([-1, 3, 5, 7], 0.5, true) // returns 4
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*
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* See also:
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*
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* median, mean, min, max, sum, prod, std, variance
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*
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* @param {Array, Matrix} data A single matrix or Array
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* @param {Number, BigNumber, Array} probOrN prob is the order of the quantile, while N is
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* the amount of evenly distributed steps of
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* probabilities; only one of these options can
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* be provided
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* @param {Boolean} sorted=false is data sorted in ascending order
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* @return {Number, BigNumber, Unit, Array} Quantile(s)
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*/
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function quantileSeq(data, probOrN, sorted) {
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var probArr, dataArr, one;
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if (arguments.length < 2 || arguments.length > 3) {
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throw new SyntaxError('Function quantileSeq requires two or three parameters');
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}
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if ((0, _is.isCollection)(data)) {
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sorted = sorted || false;
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if (typeof sorted === 'boolean') {
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dataArr = data.valueOf();
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if ((0, _is.isNumber)(probOrN)) {
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if (probOrN < 0) {
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throw new Error('N/prob must be non-negative');
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}
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if (probOrN <= 1) {
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// quantileSeq([a, b, c, d, ...], prob[,sorted])
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return _quantileSeq(dataArr, probOrN, sorted);
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}
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if (probOrN > 1) {
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// quantileSeq([a, b, c, d, ...], N[,sorted])
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if (!(0, _number.isInteger)(probOrN)) {
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throw new Error('N must be a positive integer');
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}
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var nPlusOne = probOrN + 1;
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probArr = new Array(probOrN);
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for (var i = 0; i < probOrN;) {
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probArr[i] = _quantileSeq(dataArr, ++i / nPlusOne, sorted);
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}
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return probArr;
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}
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}
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if ((0, _is.isBigNumber)(probOrN)) {
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var BigNumber = probOrN.constructor;
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if (probOrN.isNegative()) {
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throw new Error('N/prob must be non-negative');
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}
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one = new BigNumber(1);
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if (probOrN.lte(one)) {
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// quantileSeq([a, b, c, d, ...], prob[,sorted])
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return new BigNumber(_quantileSeq(dataArr, probOrN, sorted));
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}
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if (probOrN.gt(one)) {
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// quantileSeq([a, b, c, d, ...], N[,sorted])
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if (!probOrN.isInteger()) {
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throw new Error('N must be a positive integer');
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} // largest possible Array length is 2^32-1
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// 2^32 < 10^15, thus safe conversion guaranteed
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var intN = probOrN.toNumber();
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if (intN > 4294967295) {
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throw new Error('N must be less than or equal to 2^32-1, as that is the maximum length of an Array');
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}
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var _nPlusOne = new BigNumber(intN + 1);
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probArr = new Array(intN);
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for (var _i = 0; _i < intN;) {
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probArr[_i] = new BigNumber(_quantileSeq(dataArr, new BigNumber(++_i).div(_nPlusOne), sorted));
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}
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return probArr;
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}
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}
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if (Array.isArray(probOrN)) {
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// quantileSeq([a, b, c, d, ...], [prob1, prob2, ...][,sorted])
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probArr = new Array(probOrN.length);
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for (var _i2 = 0; _i2 < probArr.length; ++_i2) {
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var currProb = probOrN[_i2];
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if ((0, _is.isNumber)(currProb)) {
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if (currProb < 0 || currProb > 1) {
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throw new Error('Probability must be between 0 and 1, inclusive');
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}
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} else if ((0, _is.isBigNumber)(currProb)) {
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one = new currProb.constructor(1);
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if (currProb.isNegative() || currProb.gt(one)) {
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throw new Error('Probability must be between 0 and 1, inclusive');
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}
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} else {
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throw new TypeError('Unexpected type of argument in function quantileSeq'); // FIXME: becomes redundant when converted to typed-function
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}
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probArr[_i2] = _quantileSeq(dataArr, currProb, sorted);
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}
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return probArr;
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}
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throw new TypeError('Unexpected type of argument in function quantileSeq'); // FIXME: becomes redundant when converted to typed-function
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}
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throw new TypeError('Unexpected type of argument in function quantileSeq'); // FIXME: becomes redundant when converted to typed-function
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}
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throw new TypeError('Unexpected type of argument in function quantileSeq'); // FIXME: becomes redundant when converted to typed-function
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}
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/**
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* Calculate the prob order quantile of an n-dimensional array.
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*
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* @param {Array} array
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* @param {Number, BigNumber} prob
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* @param {Boolean} sorted
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* @return {Number, BigNumber, Unit} prob order quantile
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* @private
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*/
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function _quantileSeq(array, prob, sorted) {
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var flat = (0, _array.flatten)(array);
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var len = flat.length;
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if (len === 0) {
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throw new Error('Cannot calculate quantile of an empty sequence');
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}
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if ((0, _is.isNumber)(prob)) {
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var _index = prob * (len - 1);
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var _fracPart = _index % 1;
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if (_fracPart === 0) {
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var value = sorted ? flat[_index] : partitionSelect(flat, _index);
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validate(value);
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return value;
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}
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var _integerPart = Math.floor(_index);
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var _left;
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var _right;
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if (sorted) {
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_left = flat[_integerPart];
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_right = flat[_integerPart + 1];
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} else {
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_right = partitionSelect(flat, _integerPart + 1); // max of partition is kth largest
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_left = flat[_integerPart];
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for (var i = 0; i < _integerPart; ++i) {
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if (compare(flat[i], _left) > 0) {
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_left = flat[i];
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}
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}
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}
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validate(_left);
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validate(_right); // Q(prob) = (1-f)*A[floor(index)] + f*A[floor(index)+1]
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return add(multiply(_left, 1 - _fracPart), multiply(_right, _fracPart));
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} // If prob is a BigNumber
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var index = prob.times(len - 1);
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if (index.isInteger()) {
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index = index.toNumber();
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var _value = sorted ? flat[index] : partitionSelect(flat, index);
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validate(_value);
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return _value;
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}
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var integerPart = index.floor();
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var fracPart = index.minus(integerPart);
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var integerPartNumber = integerPart.toNumber();
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var left;
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var right;
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if (sorted) {
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left = flat[integerPartNumber];
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right = flat[integerPartNumber + 1];
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} else {
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right = partitionSelect(flat, integerPartNumber + 1); // max of partition is kth largest
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left = flat[integerPartNumber];
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for (var _i3 = 0; _i3 < integerPartNumber; ++_i3) {
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if (compare(flat[_i3], left) > 0) {
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left = flat[_i3];
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}
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}
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}
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validate(left);
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validate(right); // Q(prob) = (1-f)*A[floor(index)] + f*A[floor(index)+1]
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var one = new fracPart.constructor(1);
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return add(multiply(left, one.minus(fracPart)), multiply(right, fracPart));
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}
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/**
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* Check if array value types are valid, throw error otherwise.
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* @param {number | BigNumber | Unit} x
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* @param {number | BigNumber | Unit} x
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* @private
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*/
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var validate = typed({
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'number | BigNumber | Unit': function numberBigNumberUnit(x) {
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return x;
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}
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});
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return quantileSeq;
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});
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exports.createQuantileSeq = createQuantileSeq;
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