flow like the river
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VISUALIZACION/node_modules/d3-array/src/bin.js
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VISUALIZACION/node_modules/d3-array/src/bin.js
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import {slice} from "./array.js";
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import bisect from "./bisect.js";
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import constant from "./constant.js";
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import extent from "./extent.js";
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import identity from "./identity.js";
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import nice from "./nice.js";
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import ticks, {tickIncrement} from "./ticks.js";
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import sturges from "./threshold/sturges.js";
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export default function bin() {
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var value = identity,
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domain = extent,
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threshold = sturges;
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function histogram(data) {
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if (!Array.isArray(data)) data = Array.from(data);
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var i,
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n = data.length,
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x,
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step,
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values = new Array(n);
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for (i = 0; i < n; ++i) {
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values[i] = value(data[i], i, data);
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}
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var xz = domain(values),
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x0 = xz[0],
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x1 = xz[1],
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tz = threshold(values, x0, x1);
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// Convert number of thresholds into uniform thresholds, and nice the
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// default domain accordingly.
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if (!Array.isArray(tz)) {
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const max = x1, tn = +tz;
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if (domain === extent) [x0, x1] = nice(x0, x1, tn);
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tz = ticks(x0, x1, tn);
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// If the domain is aligned with the first tick (which it will by
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// default), then we can use quantization rather than bisection to bin
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// values, which is substantially faster.
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if (tz[0] <= x0) step = tickIncrement(x0, x1, tn);
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// If the last threshold is coincident with the domain’s upper bound, the
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// last bin will be zero-width. If the default domain is used, and this
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// last threshold is coincident with the maximum input value, we can
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// extend the niced upper bound by one tick to ensure uniform bin widths;
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// otherwise, we simply remove the last threshold. Note that we don’t
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// coerce values or the domain to numbers, and thus must be careful to
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// compare order (>=) rather than strict equality (===)!
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if (tz[tz.length - 1] >= x1) {
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if (max >= x1 && domain === extent) {
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const step = tickIncrement(x0, x1, tn);
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if (isFinite(step)) {
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if (step > 0) {
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x1 = (Math.floor(x1 / step) + 1) * step;
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} else if (step < 0) {
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x1 = (Math.ceil(x1 * -step) + 1) / -step;
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}
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}
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} else {
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tz.pop();
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}
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}
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}
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// Remove any thresholds outside the domain.
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// Be careful not to mutate an array owned by the user!
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var m = tz.length, a = 0, b = m;
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while (tz[a] <= x0) ++a;
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while (tz[b - 1] > x1) --b;
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if (a || b < m) tz = tz.slice(a, b), m = b - a;
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var bins = new Array(m + 1),
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bin;
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// Initialize bins.
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for (i = 0; i <= m; ++i) {
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bin = bins[i] = [];
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bin.x0 = i > 0 ? tz[i - 1] : x0;
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bin.x1 = i < m ? tz[i] : x1;
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}
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// Assign data to bins by value, ignoring any outside the domain.
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if (isFinite(step)) {
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if (step > 0) {
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for (i = 0; i < n; ++i) {
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if ((x = values[i]) != null && x0 <= x && x <= x1) {
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bins[Math.min(m, Math.floor((x - x0) / step))].push(data[i]);
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}
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}
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} else if (step < 0) {
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for (i = 0; i < n; ++i) {
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if ((x = values[i]) != null && x0 <= x && x <= x1) {
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const j = Math.floor((x0 - x) * step);
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bins[Math.min(m, j + (tz[j] <= x))].push(data[i]); // handle off-by-one due to rounding
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}
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}
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}
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} else {
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for (i = 0; i < n; ++i) {
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if ((x = values[i]) != null && x0 <= x && x <= x1) {
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bins[bisect(tz, x, 0, m)].push(data[i]);
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}
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}
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}
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return bins;
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}
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histogram.value = function(_) {
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return arguments.length ? (value = typeof _ === "function" ? _ : constant(_), histogram) : value;
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};
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histogram.domain = function(_) {
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return arguments.length ? (domain = typeof _ === "function" ? _ : constant([_[0], _[1]]), histogram) : domain;
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};
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histogram.thresholds = function(_) {
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return arguments.length ? (threshold = typeof _ === "function" ? _ : constant(Array.isArray(_) ? slice.call(_) : _), histogram) : threshold;
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};
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return histogram;
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}
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