In multi-threaded programming, concurrent execution allows tasks to be performed simultaneously, making programs faster and more efficient. Rust's std::thread module facilitates this by enabling the creation and management of threads in a straightforward and safe manner.
In this challenge, you will implement a function concurrent_add that spawns threads to add a specified value to each element of a list. Each thread will handle one element of the list, returning the result of the addition. By leveraging threads, you'll distribute the workload across multiple cores for concurrent execution.
Your task is to implement the function concurrent_add that takes a list of items (Vec<T>) and a number (T) as inputs. For each item in the list, the function should spawn a new thread that adds the given number to the item. The function will return a vector of JoinHandle<T> representing the handles to all the threads, allowing the results to be retrieved later.
Vec<T> and a value of type T.T can be, integer, floating-point, or any other number type in Rust.JoinHandle<T>.std::thread::spawn function creates a new thread to execute a given closure.std::ops::Add trait allows addition between two values of the same type.Send trait.'static to make sure the thread can not outlive the data it references.T implements Copy since threads require ownership of their inputs.