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reValuate/node_modules/fbjs/lib/PrefixIntervalTree.js.flow

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2021-04-02 02:24:13 +03:00
/**
* Copyright (c) 2013-present, Facebook, Inc.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*
* @providesModule PrefixIntervalTree
* @flow
* @typechecks
*/
'use strict';
const invariant = require("./invariant");
const parent = node => Math.floor(node / 2);
const Int32Array = global.Int32Array || function (size: number): Array<number> {
const xs = [];
for (let i = size - 1; i >= 0; --i) {
xs[i] = 0;
}
return xs;
};
/**
* Computes the next power of 2 after or equal to x.
*/
function ceilLog2(x: number): number {
let y = 1;
while (y < x) {
y *= 2;
}
return y;
}
/**
* A prefix interval tree stores an numeric array and the partial sums of that
* array. It is optimized for updating the values of the array without
* recomputing all of the partial sums.
*
* - O(ln n) update
* - O(1) lookup
* - O(ln n) compute a partial sum
* - O(n) space
*
* Note that the sequence of partial sums is one longer than the array, so that
* the first partial sum is always 0, and the last partial sum is the sum of the
* entire array.
*/
class PrefixIntervalTree {
/**
* Number of elements in the array
*/
_size: number;
/**
* Half the size of the heap. It is also the number of non-leaf nodes, and the
* index of the first element in the heap. Always a power of 2.
*/
_half: number;
/**
* Binary heap
*/
_heap: Int32Array;
constructor(xs: Array<number>) {
this._size = xs.length;
this._half = ceilLog2(this._size);
this._heap = new Int32Array(2 * this._half);
let i;
for (i = 0; i < this._size; ++i) {
this._heap[this._half + i] = xs[i];
}
for (i = this._half - 1; i > 0; --i) {
this._heap[i] = this._heap[2 * i] + this._heap[2 * i + 1];
}
}
static uniform(size: number, initialValue: number): PrefixIntervalTree {
const xs = [];
for (let i = size - 1; i >= 0; --i) {
xs[i] = initialValue;
}
return new PrefixIntervalTree(xs);
}
static empty(size: number): PrefixIntervalTree {
return PrefixIntervalTree.uniform(size, 0);
}
set(index: number, value: number): void {
invariant(0 <= index && index < this._size, 'Index out of range %s', index);
let node = this._half + index;
this._heap[node] = value;
node = parent(node);
for (; node !== 0; node = parent(node)) {
this._heap[node] = this._heap[2 * node] + this._heap[2 * node + 1];
}
}
get(index: number): number {
invariant(0 <= index && index < this._size, 'Index out of range %s', index);
const node = this._half + index;
return this._heap[node];
}
getSize(): number {
return this._size;
}
/**
* Returns the sum get(0) + get(1) + ... + get(end - 1).
*/
sumUntil(end: number): number {
invariant(0 <= end && end < this._size + 1, 'Index out of range %s', end);
if (end === 0) {
return 0;
}
let node = this._half + end - 1;
let sum = this._heap[node];
for (; node !== 1; node = parent(node)) {
if (node % 2 === 1) {
sum += this._heap[node - 1];
}
}
return sum;
}
/**
* Returns the sum get(0) + get(1) + ... + get(inclusiveEnd).
*/
sumTo(inclusiveEnd: number): number {
invariant(0 <= inclusiveEnd && inclusiveEnd < this._size, 'Index out of range %s', inclusiveEnd);
return this.sumUntil(inclusiveEnd + 1);
}
/**
* Returns the sum get(begin) + get(begin + 1) + ... + get(end - 1).
*/
sum(begin: number, end: number): number {
invariant(begin <= end, 'Begin must precede end');
return this.sumUntil(end) - this.sumUntil(begin);
}
/**
* Returns the smallest i such that 0 <= i <= size and sumUntil(i) <= t, or
* -1 if no such i exists.
*/
greatestLowerBound(t: number): number {
if (t < 0) {
return -1;
}
let node = 1;
if (this._heap[node] <= t) {
return this._size;
}
while (node < this._half) {
const leftSum = this._heap[2 * node];
if (t < leftSum) {
node = 2 * node;
} else {
node = 2 * node + 1;
t -= leftSum;
}
}
return node - this._half;
}
/**
* Returns the smallest i such that 0 <= i <= size and sumUntil(i) < t, or
* -1 if no such i exists.
*/
greatestStrictLowerBound(t: number): number {
if (t <= 0) {
return -1;
}
let node = 1;
if (this._heap[node] < t) {
return this._size;
}
while (node < this._half) {
const leftSum = this._heap[2 * node];
if (t <= leftSum) {
node = 2 * node;
} else {
node = 2 * node + 1;
t -= leftSum;
}
}
return node - this._half;
}
/**
* Returns the smallest i such that 0 <= i <= size and t <= sumUntil(i), or
* size + 1 if no such i exists.
*/
leastUpperBound(t: number): number {
return this.greatestStrictLowerBound(t) + 1;
}
/**
* Returns the smallest i such that 0 <= i <= size and t < sumUntil(i), or
* size + 1 if no such i exists.
*/
leastStrictUpperBound(t: number): number {
return this.greatestLowerBound(t) + 1;
}
}
module.exports = PrefixIntervalTree;