prefix_sum | A prefix sum implementation rust | Hashing library

by Darksonn Rust Version: Current License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | prefix_sum Summary

prefix_sum is a Rust library typically used in Security, Hashing applications. prefix_sum has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A prefix sum implementation rust.

Support

Quality

Security

License

Reuse

Support

prefix_sum has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

prefix_sum has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of prefix_sum is current.

Quality

prefix_sum has 0 bugs and 0 code smells.

Security

prefix_sum has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

prefix_sum code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

prefix_sum is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

prefix_sum releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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prefix_sum Key Features

No Key Features are available at this moment for prefix_sum.

prefix_sum Examples and Code Snippets

Compute the maximum prefix sum .

java

Lines of Code : 21

License : No License

Copy

static int maximumSumSubarray(int arr[], int n) {
        // Initialize minimum prefix sum to 0.
        int min_prefix_sum = 0;

        // Initialize maximum subarray sum so far to -infinity.
        int res = Integer.MIN_VALUE;

        // Initial

Community Discussions

Trending Discussions on prefix_sum

Hillis and Steele on a prefix sum multithreading assignment in C

Time complexity for two different solutions

The algorithm behind js indexOf() method in JAVASCRIPT

QUESTION

Hillis and Steele on a prefix sum multithreading assignment in C

Asked 2022-Feb-25 at 05:04

I'm working on a CS assignment, where I have to use p_threads to compute an array's prefix sum. The professor told us to use the Hillis and Steele algorithm. I found some pseudocode on wikipedia (here), specifically:

I'm a little stuck on implementing this in real code. The way our program is supposed to work, the user passes in an array through a file or stdin, then the next 2 arguments are the size of the input array, and how many threads we need to use. So, I assume "n" in this picture is "amount of threads we need to use". Then, I'm not sure what the notation on the x's mean. Wikipedia says "In the above, the notation ... means the value of the jth element of array x in timestep i." but...what? How do I implement this "timestep"? I assumed that it meant: "do j to the i+1th power, then find that index element in array x". With that assumption, I wrote this code:

...

ANSWER

Answered 2022-Feb-25 at 05:04

You problem is here, you are trying to pass a pointer to vector

Source https://stackoverflow.com/questions/71261027

QUESTION

Time complexity for two different solutions

Asked 2020-Oct-21 at 13:12

I want to understand the difference in time complexity between these two solutions. The task is not relevant but if you're curious here's the link with the explanation.

This is my first solution. Scores a 100% in correctness but 0% in performance:

...

ANSWER

Answered 2020-Oct-21 at 12:20

I think the difference in complexity can easily be showcased on an example.

Consider the following input:

Source https://stackoverflow.com/questions/64461803

QUESTION

The algorithm behind js indexOf() method in JAVASCRIPT

Asked 2020-May-02 at 21:28

When solving https://app.codility.com/programmers/lessons/5-prefix_sums/genomic_range_query/ problem, I found out that using indexOf method gives us the favor of polynomial performance. But as mentioned here, if we use this polyfill to determine index of element, it generates time limit error. My concern is what is the exact implementation of indexOf method for which it can perform in constant time which I am guessing close or equal to(0[1])?

...

ANSWER

Answered 2020-May-02 at 13:47

Your problem is just a range-minimum query problem, which can be solved with constant time complexity using sparse tables. But with the fact, that there are only 4 different values there is an easier way to solve it:

Pre-calculate the number of times each letter appears on each prefix (first n symbols). This preprocessing will be done in linear time. Then for your range check if there is, for example, A letter as follows: if the count of letters before the start is equal the count of letters before the end - then, there is no letter A in this range. Do the same for all 4 letters and pick the minimum.

Source https://stackoverflow.com/questions/61558724

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install prefix_sum

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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