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d3-array.v3.js
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1455 lines (1311 loc) · 38.6 KB
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// https://d3js.org/d3-array/ v3.2.4 Copyright 2010-2023 Mike Bostock
(function (global, factory) {
typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
typeof define === 'function' && define.amd ? define(['exports'], factory) :
(global = typeof globalThis !== 'undefined' ? globalThis : global || self, factory(global.d3 = global.d3 || {}));
})(this, (function (exports) { 'use strict';
function ascending(a, b) {
return a == null || b == null ? NaN : a < b ? -1 : a > b ? 1 : a >= b ? 0 : NaN;
}
function descending(a, b) {
return a == null || b == null ? NaN
: b < a ? -1
: b > a ? 1
: b >= a ? 0
: NaN;
}
function bisector(f) {
let compare1, compare2, delta;
// If an accessor is specified, promote it to a comparator. In this case we
// can test whether the search value is (self-) comparable. We can’t do this
// for a comparator (except for specific, known comparators) because we can’t
// tell if the comparator is symmetric, and an asymmetric comparator can’t be
// used to test whether a single value is comparable.
if (f.length !== 2) {
compare1 = ascending;
compare2 = (d, x) => ascending(f(d), x);
delta = (d, x) => f(d) - x;
} else {
compare1 = f === ascending || f === descending ? f : zero;
compare2 = f;
delta = f;
}
function left(a, x, lo = 0, hi = a.length) {
if (lo < hi) {
if (compare1(x, x) !== 0) return hi;
do {
const mid = (lo + hi) >>> 1;
if (compare2(a[mid], x) < 0) lo = mid + 1;
else hi = mid;
} while (lo < hi);
}
return lo;
}
function right(a, x, lo = 0, hi = a.length) {
if (lo < hi) {
if (compare1(x, x) !== 0) return hi;
do {
const mid = (lo + hi) >>> 1;
if (compare2(a[mid], x) <= 0) lo = mid + 1;
else hi = mid;
} while (lo < hi);
}
return lo;
}
function center(a, x, lo = 0, hi = a.length) {
const i = left(a, x, lo, hi - 1);
return i > lo && delta(a[i - 1], x) > -delta(a[i], x) ? i - 1 : i;
}
return {left, center, right};
}
function zero() {
return 0;
}
function number(x) {
return x === null ? NaN : +x;
}
function* numbers(values, valueof) {
if (valueof === undefined) {
for (let value of values) {
if (value != null && (value = +value) >= value) {
yield value;
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null && (value = +value) >= value) {
yield value;
}
}
}
}
const ascendingBisect = bisector(ascending);
const bisectRight = ascendingBisect.right;
const bisectLeft = ascendingBisect.left;
const bisectCenter = bisector(number).center;
var bisect = bisectRight;
function blur(values, r) {
if (!((r = +r) >= 0)) throw new RangeError("invalid r");
let length = values.length;
if (!((length = Math.floor(length)) >= 0)) throw new RangeError("invalid length");
if (!length || !r) return values;
const blur = blurf(r);
const temp = values.slice();
blur(values, temp, 0, length, 1);
blur(temp, values, 0, length, 1);
blur(values, temp, 0, length, 1);
return values;
}
const blur2 = Blur2(blurf);
const blurImage = Blur2(blurfImage);
function Blur2(blur) {
return function(data, rx, ry = rx) {
if (!((rx = +rx) >= 0)) throw new RangeError("invalid rx");
if (!((ry = +ry) >= 0)) throw new RangeError("invalid ry");
let {data: values, width, height} = data;
if (!((width = Math.floor(width)) >= 0)) throw new RangeError("invalid width");
if (!((height = Math.floor(height !== undefined ? height : values.length / width)) >= 0)) throw new RangeError("invalid height");
if (!width || !height || (!rx && !ry)) return data;
const blurx = rx && blur(rx);
const blury = ry && blur(ry);
const temp = values.slice();
if (blurx && blury) {
blurh(blurx, temp, values, width, height);
blurh(blurx, values, temp, width, height);
blurh(blurx, temp, values, width, height);
blurv(blury, values, temp, width, height);
blurv(blury, temp, values, width, height);
blurv(blury, values, temp, width, height);
} else if (blurx) {
blurh(blurx, values, temp, width, height);
blurh(blurx, temp, values, width, height);
blurh(blurx, values, temp, width, height);
} else if (blury) {
blurv(blury, values, temp, width, height);
blurv(blury, temp, values, width, height);
blurv(blury, values, temp, width, height);
}
return data;
};
}
function blurh(blur, T, S, w, h) {
for (let y = 0, n = w * h; y < n;) {
blur(T, S, y, y += w, 1);
}
}
function blurv(blur, T, S, w, h) {
for (let x = 0, n = w * h; x < w; ++x) {
blur(T, S, x, x + n, w);
}
}
function blurfImage(radius) {
const blur = blurf(radius);
return (T, S, start, stop, step) => {
start <<= 2, stop <<= 2, step <<= 2;
blur(T, S, start + 0, stop + 0, step);
blur(T, S, start + 1, stop + 1, step);
blur(T, S, start + 2, stop + 2, step);
blur(T, S, start + 3, stop + 3, step);
};
}
// Given a target array T, a source array S, sets each value T[i] to the average
// of {S[i - r], …, S[i], …, S[i + r]}, where r = ⌊radius⌋, start <= i < stop,
// for each i, i + step, i + 2 * step, etc., and where S[j] is clamped between
// S[start] (inclusive) and S[stop] (exclusive). If the given radius is not an
// integer, S[i - r - 1] and S[i + r + 1] are added to the sum, each weighted
// according to r - ⌊radius⌋.
function blurf(radius) {
const radius0 = Math.floor(radius);
if (radius0 === radius) return bluri(radius);
const t = radius - radius0;
const w = 2 * radius + 1;
return (T, S, start, stop, step) => { // stop must be aligned!
if (!((stop -= step) >= start)) return; // inclusive stop
let sum = radius0 * S[start];
const s0 = step * radius0;
const s1 = s0 + step;
for (let i = start, j = start + s0; i < j; i += step) {
sum += S[Math.min(stop, i)];
}
for (let i = start, j = stop; i <= j; i += step) {
sum += S[Math.min(stop, i + s0)];
T[i] = (sum + t * (S[Math.max(start, i - s1)] + S[Math.min(stop, i + s1)])) / w;
sum -= S[Math.max(start, i - s0)];
}
};
}
// Like blurf, but optimized for integer radius.
function bluri(radius) {
const w = 2 * radius + 1;
return (T, S, start, stop, step) => { // stop must be aligned!
if (!((stop -= step) >= start)) return; // inclusive stop
let sum = radius * S[start];
const s = step * radius;
for (let i = start, j = start + s; i < j; i += step) {
sum += S[Math.min(stop, i)];
}
for (let i = start, j = stop; i <= j; i += step) {
sum += S[Math.min(stop, i + s)];
T[i] = sum / w;
sum -= S[Math.max(start, i - s)];
}
};
}
function count(values, valueof) {
let count = 0;
if (valueof === undefined) {
for (let value of values) {
if (value != null && (value = +value) >= value) {
++count;
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null && (value = +value) >= value) {
++count;
}
}
}
return count;
}
function length$1(array) {
return array.length | 0;
}
function empty(length) {
return !(length > 0);
}
function arrayify(values) {
return typeof values !== "object" || "length" in values ? values : Array.from(values);
}
function reducer(reduce) {
return values => reduce(...values);
}
function cross(...values) {
const reduce = typeof values[values.length - 1] === "function" && reducer(values.pop());
values = values.map(arrayify);
const lengths = values.map(length$1);
const j = values.length - 1;
const index = new Array(j + 1).fill(0);
const product = [];
if (j < 0 || lengths.some(empty)) return product;
while (true) {
product.push(index.map((j, i) => values[i][j]));
let i = j;
while (++index[i] === lengths[i]) {
if (i === 0) return reduce ? product.map(reduce) : product;
index[i--] = 0;
}
}
}
function cumsum(values, valueof) {
var sum = 0, index = 0;
return Float64Array.from(values, valueof === undefined
? v => (sum += +v || 0)
: v => (sum += +valueof(v, index++, values) || 0));
}
function variance(values, valueof) {
let count = 0;
let delta;
let mean = 0;
let sum = 0;
if (valueof === undefined) {
for (let value of values) {
if (value != null && (value = +value) >= value) {
delta = value - mean;
mean += delta / ++count;
sum += delta * (value - mean);
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null && (value = +value) >= value) {
delta = value - mean;
mean += delta / ++count;
sum += delta * (value - mean);
}
}
}
if (count > 1) return sum / (count - 1);
}
function deviation(values, valueof) {
const v = variance(values, valueof);
return v ? Math.sqrt(v) : v;
}
function extent(values, valueof) {
let min;
let max;
if (valueof === undefined) {
for (const value of values) {
if (value != null) {
if (min === undefined) {
if (value >= value) min = max = value;
} else {
if (min > value) min = value;
if (max < value) max = value;
}
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null) {
if (min === undefined) {
if (value >= value) min = max = value;
} else {
if (min > value) min = value;
if (max < value) max = value;
}
}
}
}
return [min, max];
}
// https://github.com/python/cpython/blob/a74eea238f5baba15797e2e8b570d153bc8690a7/Modules/mathmodule.c#L1423
class Adder {
constructor() {
this._partials = new Float64Array(32);
this._n = 0;
}
add(x) {
const p = this._partials;
let i = 0;
for (let j = 0; j < this._n && j < 32; j++) {
const y = p[j],
hi = x + y,
lo = Math.abs(x) < Math.abs(y) ? x - (hi - y) : y - (hi - x);
if (lo) p[i++] = lo;
x = hi;
}
p[i] = x;
this._n = i + 1;
return this;
}
valueOf() {
const p = this._partials;
let n = this._n, x, y, lo, hi = 0;
if (n > 0) {
hi = p[--n];
while (n > 0) {
x = hi;
y = p[--n];
hi = x + y;
lo = y - (hi - x);
if (lo) break;
}
if (n > 0 && ((lo < 0 && p[n - 1] < 0) || (lo > 0 && p[n - 1] > 0))) {
y = lo * 2;
x = hi + y;
if (y == x - hi) hi = x;
}
}
return hi;
}
}
function fsum(values, valueof) {
const adder = new Adder();
if (valueof === undefined) {
for (let value of values) {
if (value = +value) {
adder.add(value);
}
}
} else {
let index = -1;
for (let value of values) {
if (value = +valueof(value, ++index, values)) {
adder.add(value);
}
}
}
return +adder;
}
function fcumsum(values, valueof) {
const adder = new Adder();
let index = -1;
return Float64Array.from(values, valueof === undefined
? v => adder.add(+v || 0)
: v => adder.add(+valueof(v, ++index, values) || 0)
);
}
class InternMap extends Map {
constructor(entries, key = keyof) {
super();
Object.defineProperties(this, {_intern: {value: new Map()}, _key: {value: key}});
if (entries != null) for (const [key, value] of entries) this.set(key, value);
}
get(key) {
return super.get(intern_get(this, key));
}
has(key) {
return super.has(intern_get(this, key));
}
set(key, value) {
return super.set(intern_set(this, key), value);
}
delete(key) {
return super.delete(intern_delete(this, key));
}
}
class InternSet extends Set {
constructor(values, key = keyof) {
super();
Object.defineProperties(this, {_intern: {value: new Map()}, _key: {value: key}});
if (values != null) for (const value of values) this.add(value);
}
has(value) {
return super.has(intern_get(this, value));
}
add(value) {
return super.add(intern_set(this, value));
}
delete(value) {
return super.delete(intern_delete(this, value));
}
}
function intern_get({_intern, _key}, value) {
const key = _key(value);
return _intern.has(key) ? _intern.get(key) : value;
}
function intern_set({_intern, _key}, value) {
const key = _key(value);
if (_intern.has(key)) return _intern.get(key);
_intern.set(key, value);
return value;
}
function intern_delete({_intern, _key}, value) {
const key = _key(value);
if (_intern.has(key)) {
value = _intern.get(key);
_intern.delete(key);
}
return value;
}
function keyof(value) {
return value !== null && typeof value === "object" ? value.valueOf() : value;
}
function identity(x) {
return x;
}
function group(values, ...keys) {
return nest(values, identity, identity, keys);
}
function groups(values, ...keys) {
return nest(values, Array.from, identity, keys);
}
function flatten$1(groups, keys) {
for (let i = 1, n = keys.length; i < n; ++i) {
groups = groups.flatMap(g => g.pop().map(([key, value]) => [...g, key, value]));
}
return groups;
}
function flatGroup(values, ...keys) {
return flatten$1(groups(values, ...keys), keys);
}
function flatRollup(values, reduce, ...keys) {
return flatten$1(rollups(values, reduce, ...keys), keys);
}
function rollup(values, reduce, ...keys) {
return nest(values, identity, reduce, keys);
}
function rollups(values, reduce, ...keys) {
return nest(values, Array.from, reduce, keys);
}
function index(values, ...keys) {
return nest(values, identity, unique, keys);
}
function indexes(values, ...keys) {
return nest(values, Array.from, unique, keys);
}
function unique(values) {
if (values.length !== 1) throw new Error("duplicate key");
return values[0];
}
function nest(values, map, reduce, keys) {
return (function regroup(values, i) {
if (i >= keys.length) return reduce(values);
const groups = new InternMap();
const keyof = keys[i++];
let index = -1;
for (const value of values) {
const key = keyof(value, ++index, values);
const group = groups.get(key);
if (group) group.push(value);
else groups.set(key, [value]);
}
for (const [key, values] of groups) {
groups.set(key, regroup(values, i));
}
return map(groups);
})(values, 0);
}
function permute(source, keys) {
return Array.from(keys, key => source[key]);
}
function sort(values, ...F) {
if (typeof values[Symbol.iterator] !== "function") throw new TypeError("values is not iterable");
values = Array.from(values);
let [f] = F;
if ((f && f.length !== 2) || F.length > 1) {
const index = Uint32Array.from(values, (d, i) => i);
if (F.length > 1) {
F = F.map(f => values.map(f));
index.sort((i, j) => {
for (const f of F) {
const c = ascendingDefined(f[i], f[j]);
if (c) return c;
}
});
} else {
f = values.map(f);
index.sort((i, j) => ascendingDefined(f[i], f[j]));
}
return permute(values, index);
}
return values.sort(compareDefined(f));
}
function compareDefined(compare = ascending) {
if (compare === ascending) return ascendingDefined;
if (typeof compare !== "function") throw new TypeError("compare is not a function");
return (a, b) => {
const x = compare(a, b);
if (x || x === 0) return x;
return (compare(b, b) === 0) - (compare(a, a) === 0);
};
}
function ascendingDefined(a, b) {
return (a == null || !(a >= a)) - (b == null || !(b >= b)) || (a < b ? -1 : a > b ? 1 : 0);
}
function groupSort(values, reduce, key) {
return (reduce.length !== 2
? sort(rollup(values, reduce, key), (([ak, av], [bk, bv]) => ascending(av, bv) || ascending(ak, bk)))
: sort(group(values, key), (([ak, av], [bk, bv]) => reduce(av, bv) || ascending(ak, bk))))
.map(([key]) => key);
}
var array = Array.prototype;
var slice = array.slice;
function constant(x) {
return () => x;
}
const e10 = Math.sqrt(50),
e5 = Math.sqrt(10),
e2 = Math.sqrt(2);
function tickSpec(start, stop, count) {
const step = (stop - start) / Math.max(0, count),
power = Math.floor(Math.log10(step)),
error = step / Math.pow(10, power),
factor = error >= e10 ? 10 : error >= e5 ? 5 : error >= e2 ? 2 : 1;
let i1, i2, inc;
if (power < 0) {
inc = Math.pow(10, -power) / factor;
i1 = Math.round(start * inc);
i2 = Math.round(stop * inc);
if (i1 / inc < start) ++i1;
if (i2 / inc > stop) --i2;
inc = -inc;
} else {
inc = Math.pow(10, power) * factor;
i1 = Math.round(start / inc);
i2 = Math.round(stop / inc);
if (i1 * inc < start) ++i1;
if (i2 * inc > stop) --i2;
}
if (i2 < i1 && 0.5 <= count && count < 2) return tickSpec(start, stop, count * 2);
return [i1, i2, inc];
}
function ticks(start, stop, count) {
stop = +stop, start = +start, count = +count;
if (!(count > 0)) return [];
if (start === stop) return [start];
const reverse = stop < start, [i1, i2, inc] = reverse ? tickSpec(stop, start, count) : tickSpec(start, stop, count);
if (!(i2 >= i1)) return [];
const n = i2 - i1 + 1, ticks = new Array(n);
if (reverse) {
if (inc < 0) for (let i = 0; i < n; ++i) ticks[i] = (i2 - i) / -inc;
else for (let i = 0; i < n; ++i) ticks[i] = (i2 - i) * inc;
} else {
if (inc < 0) for (let i = 0; i < n; ++i) ticks[i] = (i1 + i) / -inc;
else for (let i = 0; i < n; ++i) ticks[i] = (i1 + i) * inc;
}
return ticks;
}
function tickIncrement(start, stop, count) {
stop = +stop, start = +start, count = +count;
return tickSpec(start, stop, count)[2];
}
function tickStep(start, stop, count) {
stop = +stop, start = +start, count = +count;
const reverse = stop < start, inc = reverse ? tickIncrement(stop, start, count) : tickIncrement(start, stop, count);
return (reverse ? -1 : 1) * (inc < 0 ? 1 / -inc : inc);
}
function nice(start, stop, count) {
let prestep;
while (true) {
const step = tickIncrement(start, stop, count);
if (step === prestep || step === 0 || !isFinite(step)) {
return [start, stop];
} else if (step > 0) {
start = Math.floor(start / step) * step;
stop = Math.ceil(stop / step) * step;
} else if (step < 0) {
start = Math.ceil(start * step) / step;
stop = Math.floor(stop * step) / step;
}
prestep = step;
}
}
function thresholdSturges(values) {
return Math.max(1, Math.ceil(Math.log(count(values)) / Math.LN2) + 1);
}
function bin() {
var value = identity,
domain = extent,
threshold = thresholdSturges;
function histogram(data) {
if (!Array.isArray(data)) data = Array.from(data);
var i,
n = data.length,
x,
step,
values = new Array(n);
for (i = 0; i < n; ++i) {
values[i] = value(data[i], i, data);
}
var xz = domain(values),
x0 = xz[0],
x1 = xz[1],
tz = threshold(values, x0, x1);
// Convert number of thresholds into uniform thresholds, and nice the
// default domain accordingly.
if (!Array.isArray(tz)) {
const max = x1, tn = +tz;
if (domain === extent) [x0, x1] = nice(x0, x1, tn);
tz = ticks(x0, x1, tn);
// If the domain is aligned with the first tick (which it will by
// default), then we can use quantization rather than bisection to bin
// values, which is substantially faster.
if (tz[0] <= x0) step = tickIncrement(x0, x1, tn);
// If the last threshold is coincident with the domain’s upper bound, the
// last bin will be zero-width. If the default domain is used, and this
// last threshold is coincident with the maximum input value, we can
// extend the niced upper bound by one tick to ensure uniform bin widths;
// otherwise, we simply remove the last threshold. Note that we don’t
// coerce values or the domain to numbers, and thus must be careful to
// compare order (>=) rather than strict equality (===)!
if (tz[tz.length - 1] >= x1) {
if (max >= x1 && domain === extent) {
const step = tickIncrement(x0, x1, tn);
if (isFinite(step)) {
if (step > 0) {
x1 = (Math.floor(x1 / step) + 1) * step;
} else if (step < 0) {
x1 = (Math.ceil(x1 * -step) + 1) / -step;
}
}
} else {
tz.pop();
}
}
}
// Remove any thresholds outside the domain.
// Be careful not to mutate an array owned by the user!
var m = tz.length, a = 0, b = m;
while (tz[a] <= x0) ++a;
while (tz[b - 1] > x1) --b;
if (a || b < m) tz = tz.slice(a, b), m = b - a;
var bins = new Array(m + 1),
bin;
// Initialize bins.
for (i = 0; i <= m; ++i) {
bin = bins[i] = [];
bin.x0 = i > 0 ? tz[i - 1] : x0;
bin.x1 = i < m ? tz[i] : x1;
}
// Assign data to bins by value, ignoring any outside the domain.
if (isFinite(step)) {
if (step > 0) {
for (i = 0; i < n; ++i) {
if ((x = values[i]) != null && x0 <= x && x <= x1) {
bins[Math.min(m, Math.floor((x - x0) / step))].push(data[i]);
}
}
} else if (step < 0) {
for (i = 0; i < n; ++i) {
if ((x = values[i]) != null && x0 <= x && x <= x1) {
const j = Math.floor((x0 - x) * step);
bins[Math.min(m, j + (tz[j] <= x))].push(data[i]); // handle off-by-one due to rounding
}
}
}
} else {
for (i = 0; i < n; ++i) {
if ((x = values[i]) != null && x0 <= x && x <= x1) {
bins[bisect(tz, x, 0, m)].push(data[i]);
}
}
}
return bins;
}
histogram.value = function(_) {
return arguments.length ? (value = typeof _ === "function" ? _ : constant(_), histogram) : value;
};
histogram.domain = function(_) {
return arguments.length ? (domain = typeof _ === "function" ? _ : constant([_[0], _[1]]), histogram) : domain;
};
histogram.thresholds = function(_) {
return arguments.length ? (threshold = typeof _ === "function" ? _ : constant(Array.isArray(_) ? slice.call(_) : _), histogram) : threshold;
};
return histogram;
}
function max(values, valueof) {
let max;
if (valueof === undefined) {
for (const value of values) {
if (value != null
&& (max < value || (max === undefined && value >= value))) {
max = value;
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null
&& (max < value || (max === undefined && value >= value))) {
max = value;
}
}
}
return max;
}
function maxIndex(values, valueof) {
let max;
let maxIndex = -1;
let index = -1;
if (valueof === undefined) {
for (const value of values) {
++index;
if (value != null
&& (max < value || (max === undefined && value >= value))) {
max = value, maxIndex = index;
}
}
} else {
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null
&& (max < value || (max === undefined && value >= value))) {
max = value, maxIndex = index;
}
}
}
return maxIndex;
}
function min(values, valueof) {
let min;
if (valueof === undefined) {
for (const value of values) {
if (value != null
&& (min > value || (min === undefined && value >= value))) {
min = value;
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null
&& (min > value || (min === undefined && value >= value))) {
min = value;
}
}
}
return min;
}
function minIndex(values, valueof) {
let min;
let minIndex = -1;
let index = -1;
if (valueof === undefined) {
for (const value of values) {
++index;
if (value != null
&& (min > value || (min === undefined && value >= value))) {
min = value, minIndex = index;
}
}
} else {
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null
&& (min > value || (min === undefined && value >= value))) {
min = value, minIndex = index;
}
}
}
return minIndex;
}
// Based on https://github.com/mourner/quickselect
// ISC license, Copyright 2018 Vladimir Agafonkin.
function quickselect(array, k, left = 0, right = Infinity, compare) {
k = Math.floor(k);
left = Math.floor(Math.max(0, left));
right = Math.floor(Math.min(array.length - 1, right));
if (!(left <= k && k <= right)) return array;
compare = compare === undefined ? ascendingDefined : compareDefined(compare);
while (right > left) {
if (right - left > 600) {
const n = right - left + 1;
const m = k - left + 1;
const z = Math.log(n);
const s = 0.5 * Math.exp(2 * z / 3);
const sd = 0.5 * Math.sqrt(z * s * (n - s) / n) * (m - n / 2 < 0 ? -1 : 1);
const newLeft = Math.max(left, Math.floor(k - m * s / n + sd));
const newRight = Math.min(right, Math.floor(k + (n - m) * s / n + sd));
quickselect(array, k, newLeft, newRight, compare);
}
const t = array[k];
let i = left;
let j = right;
swap(array, left, k);
if (compare(array[right], t) > 0) swap(array, left, right);
while (i < j) {
swap(array, i, j), ++i, --j;
while (compare(array[i], t) < 0) ++i;
while (compare(array[j], t) > 0) --j;
}
if (compare(array[left], t) === 0) swap(array, left, j);
else ++j, swap(array, j, right);
if (j <= k) left = j + 1;
if (k <= j) right = j - 1;
}
return array;
}
function swap(array, i, j) {
const t = array[i];
array[i] = array[j];
array[j] = t;
}
function greatest(values, compare = ascending) {
let max;
let defined = false;
if (compare.length === 1) {
let maxValue;
for (const element of values) {
const value = compare(element);
if (defined
? ascending(value, maxValue) > 0
: ascending(value, value) === 0) {
max = element;
maxValue = value;
defined = true;
}
}
} else {
for (const value of values) {
if (defined
? compare(value, max) > 0
: compare(value, value) === 0) {
max = value;
defined = true;
}
}
}
return max;
}
function quantile(values, p, valueof) {
values = Float64Array.from(numbers(values, valueof));
if (!(n = values.length) || isNaN(p = +p)) return;
if (p <= 0 || n < 2) return min(values);
if (p >= 1) return max(values);
var n,
i = (n - 1) * p,
i0 = Math.floor(i),
value0 = max(quickselect(values, i0).subarray(0, i0 + 1)),
value1 = min(values.subarray(i0 + 1));
return value0 + (value1 - value0) * (i - i0);
}
function quantileSorted(values, p, valueof = number) {
if (!(n = values.length) || isNaN(p = +p)) return;
if (p <= 0 || n < 2) return +valueof(values[0], 0, values);
if (p >= 1) return +valueof(values[n - 1], n - 1, values);
var n,
i = (n - 1) * p,
i0 = Math.floor(i),
value0 = +valueof(values[i0], i0, values),
value1 = +valueof(values[i0 + 1], i0 + 1, values);
return value0 + (value1 - value0) * (i - i0);
}
function quantileIndex(values, p, valueof = number) {
if (isNaN(p = +p)) return;
numbers = Float64Array.from(values, (_, i) => number(valueof(values[i], i, values)));
if (p <= 0) return minIndex(numbers);
if (p >= 1) return maxIndex(numbers);
var numbers,
index = Uint32Array.from(values, (_, i) => i),
j = numbers.length - 1,
i = Math.floor(j * p);
quickselect(index, i, 0, j, (i, j) => ascendingDefined(numbers[i], numbers[j]));
i = greatest(index.subarray(0, i + 1), (i) => numbers[i]);
return i >= 0 ? i : -1;
}
function thresholdFreedmanDiaconis(values, min, max) {
const c = count(values), d = quantile(values, 0.75) - quantile(values, 0.25);
return c && d ? Math.ceil((max - min) / (2 * d * Math.pow(c, -1 / 3))) : 1;
}
function thresholdScott(values, min, max) {
const c = count(values), d = deviation(values);