@mui/x-charts-vendor/lib-vendor/d3-array/src/bin.js

Vendored dependencies for MUI X Charts.

"use strict";

var _interopRequireWildcard = require("@babel/runtime/helpers/interopRequireWildcard").default;
var _interopRequireDefault = require("@babel/runtime/helpers/interopRequireDefault").default;
Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.default = bin;
var _array = require("./array.js");
var _bisect = _interopRequireDefault(require("./bisect.js"));
var _constant = _interopRequireDefault(require("./constant.js"));
var _extent = _interopRequireDefault(require("./extent.js"));
var _identity = _interopRequireDefault(require("./identity.js"));
var _nice = _interopRequireDefault(require("./nice.js"));
var _ticks = _interopRequireWildcard(require("./ticks.js"));
var _sturges = _interopRequireDefault(require("./threshold/sturges.js"));
function bin() {
  var value = _identity.default,
    domain = _extent.default,
    threshold = _sturges.default;
  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.default) [x0, x1] = (0, _nice.default)(x0, x1, tn);
      tz = (0, _ticks.default)(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 = (0, _ticks.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.default) {
          const step = (0, _ticks.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[(0, _bisect.default)(tz, x, 0, m)].push(data[i]);
        }
      }
    }
    return bins;
  }
  histogram.value = function (_) {
    return arguments.length ? (value = typeof _ === "function" ? _ : (0, _constant.default)(_), histogram) : value;
  };
  histogram.domain = function (_) {
    return arguments.length ? (domain = typeof _ === "function" ? _ : (0, _constant.default)([_[0], _[1]]), histogram) : domain;
  };
  histogram.thresholds = function (_) {
    return arguments.length ? (threshold = typeof _ === "function" ? _ : (0, _constant.default)(Array.isArray(_) ? _array.slice.call(_) : _), histogram) : threshold;
  };
  return histogram;
}