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threads2 solution
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3 changed files with 59 additions and 20 deletions
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@ -1,35 +1,34 @@
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// Building on the last exercise, we want all of the threads to complete their
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// work but this time the spawned threads need to be in charge of updating a
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// shared value: JobStatus.jobs_completed
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// work. But this time, the spawned threads need to be in charge of updating a
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// shared value: `JobStatus.jobs_done`
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use std::sync::Arc;
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use std::thread;
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use std::time::Duration;
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use std::{sync::Arc, thread, time::Duration};
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struct JobStatus {
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jobs_completed: u32,
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jobs_done: u32,
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}
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fn main() {
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// TODO: `Arc` isn't enough if you want a **mutable** shared state
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let status = Arc::new(JobStatus { jobs_completed: 0 });
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// TODO: `Arc` isn't enough if you want a **mutable** shared state.
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let status = Arc::new(JobStatus { jobs_done: 0 });
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let mut handles = vec![];
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let mut handles = Vec::new();
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for _ in 0..10 {
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let status_shared = Arc::clone(&status);
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let handle = thread::spawn(move || {
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thread::sleep(Duration::from_millis(250));
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// TODO: You must take an action before you update a shared value
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status_shared.jobs_completed += 1;
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// TODO: You must take an action before you update a shared value.
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status_shared.jobs_done += 1;
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});
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handles.push(handle);
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}
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// Waiting for all jobs to complete
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// Waiting for all jobs to complete.
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for handle in handles {
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handle.join().unwrap();
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}
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// TODO: Print the value of `JobStatus.jobs_completed`
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println!("Jobs completed: {}", ???);
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// TODO: Print the value of `JobStatus.jobs_done`.
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println!("Jobs done: {}", todo!());
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}
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@ -1051,19 +1051,19 @@ dir = "20_threads"
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test = false
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hint = """
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`Arc` is an Atomic Reference Counted pointer that allows safe, shared access
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to **immutable** data. But we want to *change* the number of `jobs_completed`
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so we'll need to also use another type that will only allow one thread to
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mutate the data at a time. Take a look at this section of the book:
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to **immutable** data. But we want to *change* the number of `jobs_done` so
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we'll need to also use another type that will only allow one thread to mutate
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the data at a time. Take a look at this section of the book:
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https://doc.rust-lang.org/book/ch16-03-shared-state.html#atomic-reference-counting-with-arct
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Keep reading if you'd like more hints :)
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Do you now have an `Arc<Mutex<JobStatus>>` at the beginning of `main`? Like:
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```
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let status = Arc::new(Mutex::new(JobStatus { jobs_completed: 0 }));
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let status = Arc::new(Mutex::new(JobStatus { jobs_done: 0 }));
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```
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Similar to the code in the following example in the book:
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Similar to the code in the following example in The Book:
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https://doc.rust-lang.org/book/ch16-03-shared-state.html#sharing-a-mutext-between-multiple-threads"""
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[[exercises]]
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@ -1 +1,41 @@
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// Solutions will be available before the stable release. Thank you for testing the beta version 🥰
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// Building on the last exercise, we want all of the threads to complete their
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// work. But this time, the spawned threads need to be in charge of updating a
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// shared value: `JobStatus.jobs_done`
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use std::{
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sync::{Arc, Mutex},
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thread,
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time::Duration,
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};
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struct JobStatus {
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jobs_done: u32,
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}
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fn main() {
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// `Arc` isn't enough if you want a **mutable** shared state.
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// We need to wrap the value with a `Mutex`.
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let status = Arc::new(Mutex::new(JobStatus { jobs_done: 0 }));
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// ^^^^^^^^^^^ ^
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let mut handles = Vec::new();
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for _ in 0..10 {
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let status_shared = Arc::clone(&status);
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let handle = thread::spawn(move || {
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thread::sleep(Duration::from_millis(250));
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// Lock before you update a shared value.
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status_shared.lock().unwrap().jobs_done += 1;
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// ^^^^^^^^^^^^^^^^
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});
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handles.push(handle);
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}
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// Waiting for all jobs to complete.
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for handle in handles {
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handle.join().unwrap();
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}
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println!("Jobs done: {}", status.lock().unwrap().jobs_done);
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// ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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}
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