StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
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StackGenVis/frontend/node_modules/d3-array/dist/d3-array.js

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// https://d3js.org/d3-array/ v2.4.0 Copyright 2019 Mike Bostock
(function (global, factory) {
typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
typeof define === 'function' && define.amd ? define(['exports'], factory) :
(global = global || self, factory(global.d3 = global.d3 || {}));
}(this, function (exports) { 'use strict';
function ascending(a, b) {
return a < b ? -1 : a > b ? 1 : a >= b ? 0 : NaN;
}
function bisector(compare) {
if (compare.length === 1) compare = ascendingComparator(compare);
return {
left: function(a, x, lo, hi) {
if (lo == null) lo = 0;
if (hi == null) hi = a.length;
while (lo < hi) {
var mid = lo + hi >>> 1;
if (compare(a[mid], x) < 0) lo = mid + 1;
else hi = mid;
}
return lo;
},
right: function(a, x, lo, hi) {
if (lo == null) lo = 0;
if (hi == null) hi = a.length;
while (lo < hi) {
var mid = lo + hi >>> 1;
if (compare(a[mid], x) > 0) hi = mid;
else lo = mid + 1;
}
return lo;
}
};
}
function ascendingComparator(f) {
return function(d, x) {
return ascending(f(d), x);
};
}
var ascendingBisect = bisector(ascending);
var bisectRight = ascendingBisect.right;
var bisectLeft = ascendingBisect.left;
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(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);
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 descending(a, b) {
return b < a ? -1 : b > a ? 1 : b >= a ? 0 : NaN;
}
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];
}
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 rollup(values, reduce, ...keys) {
return nest(values, identity, reduce, keys);
}
function rollups(values, reduce, ...keys) {
return nest(values, Array.from, reduce, keys);
}
function nest(values, map, reduce, keys) {
return (function regroup(values, i) {
if (i >= keys.length) return reduce(values);
const groups = new Map();
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);
}
var array = Array.prototype;
var slice = array.slice;
function constant(x) {
return function() {
return x;
};
}
function range(start, stop, step) {
start = +start, stop = +stop, step = (n = arguments.length) < 2 ? (stop = start, start = 0, 1) : n < 3 ? 1 : +step;
var i = -1,
n = Math.max(0, Math.ceil((stop - start) / step)) | 0,
range = new Array(n);
while (++i < n) {
range[i] = start + i * step;
}
return range;
}
var e10 = Math.sqrt(50),
e5 = Math.sqrt(10),
e2 = Math.sqrt(2);
function ticks(start, stop, count) {
var reverse,
i = -1,
n,
ticks,
step;
stop = +stop, start = +start, count = +count;
if (start === stop && count > 0) return [start];
if (reverse = stop < start) n = start, start = stop, stop = n;
if ((step = tickIncrement(start, stop, count)) === 0 || !isFinite(step)) return [];
if (step > 0) {
start = Math.ceil(start / step);
stop = Math.floor(stop / step);
ticks = new Array(n = Math.ceil(stop - start + 1));
while (++i < n) ticks[i] = (start + i) * step;
} else {
start = Math.floor(start * step);
stop = Math.ceil(stop * step);
ticks = new Array(n = Math.ceil(start - stop + 1));
while (++i < n) ticks[i] = (start - i) / step;
}
if (reverse) ticks.reverse();
return ticks;
}
function tickIncrement(start, stop, count) {
var step = (stop - start) / Math.max(0, count),
power = Math.floor(Math.log(step) / Math.LN10),
error = step / Math.pow(10, power);
return power >= 0
? (error >= e10 ? 10 : error >= e5 ? 5 : error >= e2 ? 2 : 1) * Math.pow(10, power)
: -Math.pow(10, -power) / (error >= e10 ? 10 : error >= e5 ? 5 : error >= e2 ? 2 : 1);
}
function tickStep(start, stop, count) {
var step0 = Math.abs(stop - start) / Math.max(0, count),
step1 = Math.pow(10, Math.floor(Math.log(step0) / Math.LN10)),
error = step0 / step1;
if (error >= e10) step1 *= 10;
else if (error >= e5) step1 *= 5;
else if (error >= e2) step1 *= 2;
return stop < start ? -step1 : step1;
}
function sturges(values) {
return Math.ceil(Math.log(count(values)) / Math.LN2) + 1;
}
function bin() {
var value = identity,
domain = extent,
threshold = sturges;
function histogram(data) {
if (!Array.isArray(data)) data = Array.from(data);
var i,
n = data.length,
x,
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.
if (!Array.isArray(tz)) {
tz = tickStep(x0, x1, tz);
tz = range(Math.ceil(x0 / tz) * tz, x1, tz); // exclusive
}
// Remove any thresholds outside the domain.
var m = tz.length;
while (tz[0] <= x0) tz.shift(), --m;
while (tz[m - 1] > x1) tz.pop(), --m;
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.
for (i = 0; i < n; ++i) {
x = values[i];
if (x0 <= x && x <= x1) {
bins[bisectRight(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" ? _ : Array.isArray(_) ? constant(slice.call(_)) : constant(_), 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 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;
}
// Based on https://github.com/mourner/quickselect
// ISC license, Copyright 2018 Vladimir Agafonkin.
function quickselect(array, k, left = 0, right = array.length - 1, compare = ascending) {
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 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;
}
}
}
}
function quantile(values, p, valueof) {
values = Float64Array.from(numbers(values, valueof));
if (!(n = values.length)) return;
if ((p = +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)) return;
if ((p = +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 freedmanDiaconis(values, min, max) {
return Math.ceil((max - min) / (2 * (quantile(values, 0.75) - quantile(values, 0.25)) * Math.pow(count(values), -1 / 3)));
}
function scott(values, min, max) {
return Math.ceil((max - min) / (3.5 * deviation(values) * Math.pow(count(values), -1 / 3)));
}
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 mean(values, valueof) {
let count = 0;
let sum = 0;
if (valueof === undefined) {
for (let value of values) {
if (value != null && (value = +value) >= value) {
++count, sum += value;
}
}
} else {
let index = -1;
for (let value of values) {
if ((value = valueof(value, ++index, values)) != null && (value = +value) >= value) {
++count, sum += value;
}
}
}
if (count) return sum / count;
}
function median(values, valueof) {
return quantile(values, 0.5, valueof);
}
function* flatten(arrays) {
for (const array of arrays) {
yield* array;
}
}
function merge(arrays) {
return Array.from(flatten(arrays));
}
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;
}
function pairs(values, pairof = pair) {
const pairs = [];
let previous;
let first = false;
for (const value of values) {
if (first) pairs.push(pairof(previous, value));
previous = value;
first = true;
}
return pairs;
}
function pair(a, b) {
return [a, b];
}
function permute(source, keys) {
return Array.from(keys, key => source[key]);
}
function least(values, compare = ascending) {
let min;
let defined = false;
if (compare.length === 1) {
let minValue;
for (const element of values) {
const value = compare(element);
if (defined
? ascending(value, minValue) < 0
: ascending(value, value) === 0) {
min = element;
minValue = value;
defined = true;
}
}
} else {
for (const value of values) {
if (defined
? compare(value, min) < 0
: compare(value, value) === 0) {
min = value;
defined = true;
}
}
}
return min;
}
function leastIndex(values, compare = ascending) {
if (compare.length === 1) return minIndex(values, compare);
let minValue;
let min = -1;
let index = -1;
for (const value of values) {
++index;
if (min < 0
? compare(value, value) === 0
: compare(value, minValue) < 0) {
minValue = value;
min = index;
}
}
return min;
}
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 greatestIndex(values, compare = ascending) {
if (compare.length === 1) return maxIndex(values, compare);
let maxValue;
let max = -1;
let index = -1;
for (const value of values) {
++index;
if (max < 0
? compare(value, value) === 0
: compare(value, maxValue) > 0) {
maxValue = value;
max = index;
}
}
return max;
}
function scan(values, compare) {
const index = leastIndex(values, compare);
return index < 0 ? undefined : index;
}
function shuffle(array, i0 = 0, i1 = array.length) {
var m = i1 - (i0 = +i0),
t,
i;
while (m) {
i = Math.random() * m-- | 0;
t = array[m + i0];
array[m + i0] = array[i + i0];
array[i + i0] = t;
}
return array;
}
function sum(values, valueof) {
let sum = 0;
if (valueof === undefined) {
for (let value of values) {
if (value = +value) {
sum += value;
}
}
} else {
let index = -1;
for (let value of values) {
if (value = +valueof(value, ++index, values)) {
sum += value;
}
}
}
return sum;
}
function transpose(matrix) {
if (!(n = matrix.length)) return [];
for (var i = -1, m = min(matrix, length$1), transpose = new Array(m); ++i < m;) {
for (var j = -1, n, row = transpose[i] = new Array(n); ++j < n;) {
row[j] = matrix[j][i];
}
}
return transpose;
}
function length$1(d) {
return d.length;
}
function zip() {
return transpose(arguments);
}
exports.ascending = ascending;
exports.bin = bin;
exports.bisect = bisectRight;
exports.bisectLeft = bisectLeft;
exports.bisectRight = bisectRight;
exports.bisector = bisector;
exports.count = count;
exports.cross = cross;
exports.cumsum = cumsum;
exports.descending = descending;
exports.deviation = deviation;
exports.extent = extent;
exports.greatest = greatest;
exports.greatestIndex = greatestIndex;
exports.group = group;
exports.groups = groups;
exports.histogram = bin;
exports.least = least;
exports.leastIndex = leastIndex;
exports.max = max;
exports.maxIndex = maxIndex;
exports.mean = mean;
exports.median = median;
exports.merge = merge;
exports.min = min;
exports.minIndex = minIndex;
exports.pairs = pairs;
exports.permute = permute;
exports.quantile = quantile;
exports.quantileSorted = quantileSorted;
exports.quickselect = quickselect;
exports.range = range;
exports.rollup = rollup;
exports.rollups = rollups;
exports.scan = scan;
exports.shuffle = shuffle;
exports.sum = sum;
exports.thresholdFreedmanDiaconis = freedmanDiaconis;
exports.thresholdScott = scott;
exports.thresholdSturges = sturges;
exports.tickIncrement = tickIncrement;
exports.tickStep = tickStep;
exports.ticks = ticks;
exports.transpose = transpose;
exports.variance = variance;
exports.zip = zip;
Object.defineProperty(exports, '__esModule', { value: true });
}));