Problem-Solving | Solved many types of problem

please tell me how to make a unique key for v-for For example, if you use the index as a key, then the last element will always be animated. Several elements with the same text can exist at the same time. How can I implement this Math.random is unlikely to be a good problem-solving solution Can I use something like Symbol for a unique id

I need to scrape job postings from Indeed. I managed to scrape the titles and links for each job post, and now am struggling to scrape the full job descriptions of each job posting (I don't want the summary - I want each job post's full job description).

My code looks like this:

I'm trying to figure out how to test components that update state using useEffect to make an API call to get data. There are several things I think are important to know before I can talk anymore, and that is the files/packages I'm using.

First, I have a main component called App.tsx, inside App.tsx, inside of useEffect, I make a fetch call to an external API to fetch an array of songs by Queen. I also render out a component using .map to iterate over each song and .filter to filter songs on UI based on text input. I'm using a custom hook. Here is the code I have for that component and its custom hook.

I am working on my website which will have my CV. So I have an array of objects with hard and soft skills

My apologies, I know this type of question already has an answer over here but I couldn't figure out how to use it for my code. I wrote a program for a problem-solving contest that accepts an array and tries to maximize the value of |Ax−Ay|+|Ay−Az|+|Az−Ax| over all triples of pairwise distinct valid indices (x,y,z). The program has the following constraints:

• 1≤t≤5
• 3≤n≤10^5
• |Ai|≤10^9 for each valid i

I am getting the following error when I try to run it - "terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc". All I could figure out from the answered questions was that my code encounters memory allocation problem but I couldn't find where and when it does that? Maybe when it deals with large values? What is causing the error?

Background Information: I solved the N-Queens problem with the C# algorithm below, which returns the total number of solutions given the board of size n x n. It works, but I do not understand why this would be O(n!) time complexity, or if it is a different time complexity. I am also unsure of the space used in the recursion stack (but am aware of the extra space used in the boolean jagged array). I cannot seem to wrap my mind around understanding the time and space complexity of such solutions. Having this understanding would be especially useful during technical interviews, for complexity analysis without the ability to run code.

Preliminary Investigation: I have read several SO posts where the author directly asks the community to provide the time and space complexity of their algorithms. Rather than doing the same and asking for the quick and easy answers, I would like to understand how to calculate the time and space complexity of backtracking algorithms so that I can do so moving forward.

I have also read in numerous locations within and outside of SO that generally, recursive backtracking algorithms are O(n!) time complexity since at each of the n iterations, you look at one less item: n, then n - 1, then n - 2, ... 1. However, I have not found any explanation as to why this is the case. I also have not found any explanation for the space complexity of such algorithms.

Question: Can someone please explain the step-by-step problem-solving approach to identify time and space complexities of recursive backtracking algorithms such as these?

I'm trying to parse a quoted string. Something like this:

I am using the following codes in the console of the firefox DevTools to extract book names from https://bookauthority.org/books/best-problem-solving-books

Code 1