npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@yiminghe/binary-indexed-tree

v0.2.0

Published

```ts declare class IntegralArray { /** * Get a value from the array with O(1) complexity * @param index - The index of the value to get * @returns - The value with the given index */ get(index: number): number; /** *

Downloads

2

Readme

api

declare class IntegralArray {
    /**
     * Get a value from the array with O(1) complexity
     * @param index - The index of the value to get
     * @returns - The value with the given index
     */
    get(index: number): number;
    /**
     * Accumulate the first n numbers in the array with O(log(n)) complexity
     * @param count - The number of values to sum up from the head of the array
     * @returns - The sum of the values
     */
    accumulate(count: number): number;
    /**
     * Update a value in the array by delta with O(1) complexity
     * @param index - The index of the value in array
     * @param delta - The delta to be applied to the value
     * @returns - The updated value
     */
    update(index: number, delta: number): number;
    /**
     * Update a value in the array with O(1) complexity
     * @param index - The index of the value to set
     * @param value - The new value
     * @returns - The updated value
     */
    set(index: number, value: number): number;
    /**
     * Insert a set of slots filled with the default value with O(k*log(n)) complexity
     * where k is the number of values in the array changed from default
     * @param index - The position to insert new slots
     * @param count - The number of slots to be inserted
     */
    insert(index: number, count: number): void;
    /**
     * Delete a segment of values from the array with O(k*log(n)) complexity
     * where k is the number of values in the array changed from default
     * @param index - The position of the first value to delete
     * @param count - The number of values to delete
     */
    delete(index: number, count: number): void;
}

class AccumulativeArray extends IntegralArray {
    /**
     * A non-negative numeric array with the ability to sum up a segment of members with
     * O(log(n)) complexity, and to locate a position close to a given accumulation also
     * with O(log(n)) complexity.
     * @param defaultValue - The default value the array is filled with
     */
    constructor(defaultValue?: number);
    /**
     * Update a value in the array by delta with O(1) complexity
     * @override
     * @param index - The index of the value in array
     * @param delta - The delta to be applied to the value
     * @returns - The updated value
     */
    update(index: number, delta: number): number;
    /**
     * Update a value in the array with O(1) complexity
     * @override
     * @param index - The index of the value to set
     * @param value - The new value
     * @returns - The updated value
     */
    set(index: number, value: number): number;
    /**
     * Find the minimum i so that accumulate(i) >= acc, return 0 if acc <= 0 (the lower bound rule)
     * @param acc - The accumulation to be locate from the array
     * @returns - The index located according to the lower bound rule
     */
    lowerBound(acc: number): number;
    /**
     * Find the maximum i so that accumulate(i) <= acc, return -1 if acc < 0 (the upper bound rule)
     * @param acc - The accumulation to be locate from the array
     * @returns - The index located according to the upper bound rule
     */
    upperBound(acc: number): number;
}
export default AccumulativeArray;

refer

  • https://en.wikipedia.org/wiki/Fenwick_tree
  • https://www.topcoder.com/community/competitive-programming/tutorials/binary-indexed-trees/
  • https://lotabout.me/2018/binary-indexed-tree/