s/task/thread/g

src/doc/guide-tasks.md

@@ -1,6 +1,6 @@
-% The Rust Tasks and Communication Guide
+% The Rust Threads and Communication Guide
 
-**NOTE** This guide is badly out of date an needs to be rewritten.
+**NOTE** This guide is badly out of date and needs to be rewritten.
 
 # Introduction
 
@@ -9,36 +9,36 @@ primitives. This guide will describe the concurrency model in Rust, how it
 relates to the Rust type system, and introduce the fundamental library
 abstractions for constructing concurrent programs.
 
-Tasks provide failure isolation and recovery. When a fatal error occurs in Rust
+Threads provide failure isolation and recovery. When a fatal error occurs in Rust
 code as a result of an explicit call to `panic!()`, an assertion failure, or
-another invalid operation, the runtime system destroys the entire task. Unlike
+another invalid operation, the runtime system destroys the entire thread. Unlike
 in languages such as Java and C++, there is no way to `catch` an exception.
-Instead, tasks may monitor each other to see if they panic.
+Instead, threads may monitor each other to see if they panic.
 
-Tasks use Rust's type system to provide strong memory safety guarantees.  In
-particular, the type system guarantees that tasks cannot induce a data race
+Threads use Rust's type system to provide strong memory safety guarantees.  In
+particular, the type system guarantees that threads cannot induce a data race
 from shared mutable state.
 
 # Basics
 
-At its simplest, creating a task is a matter of calling the `spawn` function
-with a closure argument. `spawn` executes the closure in the new task.
+At its simplest, creating a thread is a matter of calling the `spawn` function
+with a closure argument. `spawn` executes the closure in the new thread.
 
 ```{rust,ignore}
-# use std::task::spawn;
+# use std::thread::spawn;
 
-// Print something profound in a different task using a named function
-fn print_message() { println!("I am running in a different task!"); }
+// Print something profound in a different thread using a named function
+fn print_message() { println!("I am running in a different thread!"); }
 spawn(print_message);
 
 // Alternatively, use a `move ||` expression instead of a named function.
 // `||` expressions evaluate to an unnamed closure. The `move` keyword
 // indicates that the closure should take ownership of any variables it
 // touches.
-spawn(move || println!("I am also running in a different task!"));
+spawn(move || println!("I am also running in a different thread!"));
 ```
 
-In Rust, a task is not a concept that appears in the language semantics.
+In Rust, a thread is not a concept that appears in the language semantics.
 Instead, Rust's type system provides all the tools necessary to implement safe
 concurrency: particularly, ownership. The language leaves the implementation
 details to the standard library.
@@ -49,26 +49,26 @@ argument a closure (of type `F`) that it will run exactly once. This
 closure is limited to capturing `Send`-able data from its environment
 (that is, data which is deeply owned). Limiting the closure to `Send`
 ensures that `spawn` can safely move the entire closure and all its
-associated state into an entirely different task for execution.
+associated state into an entirely different thread for execution.
 
 ```{rust,ignore}
-# use std::task::spawn;
-# fn generate_task_number() -> int { 0 }
+# use std::thread::spawn;
+# fn generate_thread_number() -> int { 0 }
 // Generate some state locally
-let child_task_number = generate_task_number();
+let child_thread_number = generate_thread_number();
 
 spawn(move || {
-    // Capture it in the remote task. The `move` keyword indicates
-    // that this closure should move `child_task_number` into its
+    // Capture it in the remote thread. The `move` keyword indicates
+    // that this closure should move `child_thread_number` into its
     // environment, rather than capturing a reference into the
     // enclosing stack frame.
-    println!("I am child number {}", child_task_number);
+    println!("I am child number {}", child_thread_number);
 });
 ```
 
 ## Communication
 
-Now that we have spawned a new task, it would be nice if we could communicate
+Now that we have spawned a new thread, it would be nice if we could communicate
 with it. For this, we use *channels*. A channel is simply a pair of endpoints:
 one for sending messages and another for receiving messages.
 
@@ -78,7 +78,7 @@ of a channel, and a **receiver** is the receiving endpoint. Consider the followi
 example of calculating two results concurrently:
 
 ```{rust,ignore}
-# use std::task::spawn;
+# use std::thread::spawn;
 
 let (tx, rx): (Sender<int>, Receiver<int>) = channel();
 
@@ -102,12 +102,12 @@ into its component parts).
 let (tx, rx): (Sender<int>, Receiver<int>) = channel();
 ```
 
-The child task will use the sender to send data to the parent task, which will
+The child thread will use the sender to send data to the parent thread, which will
 wait to receive the data on the receiver. The next statement spawns the child
-task.
+thread.
 
 ```{rust,ignore}
-# use std::task::spawn;
+# use std::thread::spawn;
 # fn some_expensive_computation() -> int { 42 }
 # let (tx, rx) = channel();
 spawn(move || {
@@ -116,10 +116,10 @@ spawn(move || {
 });
 ```
 
-Notice that the creation of the task closure transfers `tx` to the child task
+Notice that the creation of the thread closure transfers `tx` to the child thread
 implicitly: the closure captures `tx` in its environment. Both `Sender` and
-`Receiver` are sendable types and may be captured into tasks or otherwise
-transferred between them. In the example, the child task runs an expensive
+`Receiver` are sendable types and may be captured into threads or otherwise
+transferred between them. In the example, the child thread runs an expensive
 computation, then sends the result over the captured channel.
 
 Finally, the parent continues with some other expensive computation, then waits
@@ -137,7 +137,7 @@ The `Sender` and `Receiver` pair created by `channel` enables efficient
 communication between a single sender and a single receiver, but multiple
 senders cannot use a single `Sender` value, and multiple receivers cannot use a
 single `Receiver` value.  What if our example needed to compute multiple
-results across a number of tasks? The following program is ill-typed:
+results across a number of threads? The following program is ill-typed:
 
 ```{rust,ignore}
 # fn some_expensive_computation() -> int { 42 }
@@ -160,7 +160,7 @@ Instead we can clone the `tx`, which allows for multiple senders.
 let (tx, rx) = channel();
 
 for init_val in range(0u, 3) {
-    // Create a new channel handle to distribute to the child task
+    // Create a new channel handle to distribute to the child thread
     let child_tx = tx.clone();
     spawn(move || {
         child_tx.send(some_expensive_computation(init_val));
@@ -172,7 +172,7 @@ let result = rx.recv() + rx.recv() + rx.recv();
 ```
 
 Cloning a `Sender` produces a new handle to the same channel, allowing multiple
-tasks to send data to a single receiver. It upgrades the channel internally in
+threads to send data to a single receiver. It upgrades the channel internally in
 order to allow this functionality, which means that channels that are not
 cloned can avoid the overhead required to handle multiple senders. But this
 fact has no bearing on the channel's usage: the upgrade is transparent.
@@ -182,9 +182,9 @@ simply use three `Sender` pairs, but it serves to illustrate the point. For
 reference, written with multiple streams, it might look like the example below.
 
 ```{rust,ignore}
-# use std::task::spawn;
+# use std::thread::spawn;
 
-// Create a vector of ports, one for each child task
+// Create a vector of ports, one for each child thread
 let rxs = Vec::from_fn(3, |init_val| {
     let (tx, rx) = channel();
     spawn(move || {
@@ -256,18 +256,18 @@ fn main() {
 
 ## Sharing without copying: Arc
 
-To share data between tasks, a first approach would be to only use channel as
+To share data between threads, a first approach would be to only use channel as
 we have seen previously. A copy of the data to share would then be made for
-each task. In some cases, this would add up to a significant amount of wasted
+each thread. In some cases, this would add up to a significant amount of wasted
 memory and would require copying the same data more than necessary.
 
 To tackle this issue, one can use an Atomically Reference Counted wrapper
 (`Arc`) as implemented in the `sync` library of Rust. With an Arc, the data
-will no longer be copied for each task. The Arc acts as a reference to the
+will no longer be copied for each thread. The Arc acts as a reference to the
 shared data and only this reference is shared and cloned.
 
 Here is a small example showing how to use Arcs. We wish to run concurrently
-several computations on a single large vector of floats. Each task needs the
+several computations on a single large vector of floats. Each thread needs the
 full vector to perform its duty.
 
 ```{rust,ignore}
@@ -284,10 +284,10 @@ fn main() {
     let numbers_arc = Arc::new(numbers);
 
     for num in range(1u, 10) {
-        let task_numbers = numbers_arc.clone();
+        let thread_numbers = numbers_arc.clone();
 
         spawn(move || {
-            println!("{}-norm = {}", num, pnorm(task_numbers.as_slice(), num));
+            println!("{}-norm = {}", num, pnorm(thread_numbers.as_slice(), num));
         });
     }
 }
@@ -306,8 +306,8 @@ let numbers_arc = Arc::new(numbers);
 # }
 ```
 
-and a clone is captured for each task via a procedure. This only copies
-the wrapper and not its contents. Within the task's procedure, the captured
+and a clone is captured for each thread via a procedure. This only copies
+the wrapper and not its contents. Within the thread's procedure, the captured
 Arc reference can be used as a shared reference to the underlying vector as
 if it were local.
 
@@ -319,29 +319,29 @@ if it were local.
 # let numbers=Vec::from_fn(1000000, |_| rand::random::<f64>());
 # let numbers_arc = Arc::new(numbers);
 # let num = 4;
-let task_numbers = numbers_arc.clone();
+let thread_numbers = numbers_arc.clone();
 spawn(move || {
-    // Capture task_numbers and use it as if it was the underlying vector
-    println!("{}-norm = {}", num, pnorm(task_numbers.as_slice(), num));
+    // Capture thread_numbers and use it as if it was the underlying vector
+    println!("{}-norm = {}", num, pnorm(thread_numbers.as_slice(), num));
 });
 # }
 ```
 
-# Handling task panics
+# Handling thread panics
 
 Rust has a built-in mechanism for raising exceptions. The `panic!()` macro
 (which can also be written with an error string as an argument: `panic!(
 ~reason)`) and the `assert!` construct (which effectively calls `panic!()` if a
-boolean expression is false) are both ways to raise exceptions. When a task
-raises an exception, the task unwinds its stack—running destructors and
+boolean expression is false) are both ways to raise exceptions. When a thread
+raises an exception, the thread unwinds its stack—running destructors and
 freeing memory along the way—and then exits. Unlike exceptions in C++,
-exceptions in Rust are unrecoverable within a single task: once a task panics,
+exceptions in Rust are unrecoverable within a single thread: once a thread panics,
 there is no way to "catch" the exception.
 
-While it isn't possible for a task to recover from panicking, tasks may notify
+While it isn't possible for a thread to recover from panicking, threads may notify
 each other if they panic. The simplest way of handling a panic is with the
 `try` function, which is similar to `spawn`, but immediately blocks and waits
-for the child task to finish. `try` returns a value of type
+for the child thread to finish. `try` returns a value of type
 `Result<T, Box<Any + Send>>`. `Result` is an `enum` type with two variants:
 `Ok` and `Err`. In this case, because the type arguments to `Result` are `int`
 and `()`, callers can pattern-match on a result to check whether it's an `Ok`
@@ -364,19 +364,19 @@ assert!(result.is_err());
 
 Unlike `spawn`, the function spawned using `try` may return a value, which
 `try` will dutifully propagate back to the caller in a [`Result`] enum. If the
-child task terminates successfully, `try` will return an `Ok` result; if the
-child task panics, `try` will return an `Error` result.
+child thread terminates successfully, `try` will return an `Ok` result; if the
+child thread panics, `try` will return an `Error` result.
 
 [`Result`]: std/result/index.html
 
-> *Note:* A panicked task does not currently produce a useful error
+> *Note:* A panicked thread does not currently produce a useful error
 > value (`try` always returns `Err(())`). In the
-> future, it may be possible for tasks to intercept the value passed to
+> future, it may be possible for threads to intercept the value passed to
 > `panic!()`.
 
 But not all panics are created equal. In some cases you might need to abort
 the entire program (perhaps you're writing an assert which, if it trips,
 indicates an unrecoverable logic error); in other cases you might want to
 contain the panic at a certain boundary (perhaps a small piece of input from
 the outside world, which you happen to be processing in parallel, is malformed
-such that the processing task cannot proceed).
+such that the processing thread cannot proceed).