---

yaml
---
r: 143358
b: refs/heads/try2
c: 8fb77c7
h: refs/heads/master
v: v3

Author: gifnksm

[refs]

@@ -5,7 +5,7 @@ refs/heads/snap-stage3: 78a7676898d9f80ab540c6df5d4c9ce35bb50463
 refs/heads/try: 519addf6277dbafccbb4159db4b710c37eaa2ec5
 refs/tags/release-0.1: 1f5c5126e96c79d22cb7862f75304136e204f105
 refs/heads/ndm: f3868061cd7988080c30d6d5bf352a5a5fe2460b
-refs/heads/try2: 63c9b112b52b31f511b08438fc7f812108688804
+refs/heads/try2: 8fb77c70993b8f020a9398a458e9a6aea02eb70b
 refs/heads/dist-snap: ba4081a5a8573875fed17545846f6f6902c8ba8d
 refs/tags/release-0.2: c870d2dffb391e14efb05aa27898f1f6333a9596
 refs/tags/release-0.3: b5f0d0f648d9a6153664837026ba1be43d3e2503

branches/try2/doc/po/tutorial-tasks.md.pot

@@ -135,7 +135,7 @@ msgstr ""
 #. type: Bullet: '* '
 #: doc/tutorial-tasks.md:56
 msgid ""
-"[`extra::arc`] - The Arc (atomically reference counted) type, for safely "
+"[`extra::arc`] - The ARC (atomically reference counted) type, for safely "
 "sharing immutable data,"
 msgstr ""
 
@@ -597,7 +597,7 @@ msgstr ""
 
 #. type: Plain text
 #: doc/tutorial-tasks.md:338
-msgid "## Sharing immutable data without copy: Arc"
+msgid "## Sharing immutable data without copy: ARC"
 msgstr ""
 
 #. type: Plain text
@@ -613,18 +613,18 @@ msgstr ""
 #: doc/tutorial-tasks.md:347
 msgid ""
 "To tackle this issue, one can use an Atomically Reference Counted wrapper "
-"(`Arc`) as implemented in the `extra` library of Rust. With an Arc, the data "
-"will no longer be copied for each task. The Arc acts as a reference to the "
+"(`ARC`) as implemented in the `extra` library of Rust. With an ARC, the data "
+"will no longer be copied for each task. The ARC acts as a reference to the "
 "shared data and only this reference is shared and cloned."
 msgstr ""
 
 #. type: Plain text
 #: doc/tutorial-tasks.md:355
 msgid ""
-"Here is a small example showing how to use Arcs. We wish to run concurrently "
+"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 "
 "full vector to perform its duty.  ~~~ # use std::vec; # use std::uint; # use "
-"std::rand; use extra::arc::Arc;"
+"std::rand; use extra::arc::ARC;"
 msgstr ""
 
 #. type: Plain text
@@ -648,7 +648,7 @@ msgstr ""
 #. type: Plain text
 #: doc/tutorial-tasks.md:365
 #, no-wrap
-msgid "    let numbers_arc = Arc::new(numbers);\n"
+msgid "    let numbers_arc = ARC(numbers);\n"
 msgstr ""
 
 #. type: Plain text
@@ -665,7 +665,7 @@ msgstr ""
 #, no-wrap
 msgid ""
 "        do spawn {\n"
-"            let local_arc : Arc<~[float]> = port.recv();\n"
+"            let local_arc : ARC<~[float]> = port.recv();\n"
 "            let task_numbers = local_arc.get();\n"
 "            println(fmt!(\"%u-norm = %?\", num, pnorm(task_numbers, num)));\n"
 "        }\n"
@@ -679,31 +679,31 @@ msgstr ""
 msgid ""
 "The function `pnorm` performs a simple computation on the vector (it "
 "computes the sum of its items at the power given as argument and takes the "
-"inverse power of this value). The Arc on the vector is created by the line "
-"~~~ # use extra::arc::Arc; # use std::vec; # use std::rand; # let numbers = "
+"inverse power of this value). The ARC on the vector is created by the line "
+"~~~ # use extra::arc::ARC; # use std::vec; # use std::rand; # let numbers = "
 "vec::from_fn(1000000, |_| rand::random::<float>()); let "
-"numbers_arc=Arc::new(numbers); ~~~ and a clone of it is sent to each task ~~~ # "
-"use extra::arc::Arc; # use std::vec; # use std::rand; # let numbers=vec::"
+"numbers_arc=ARC(numbers); ~~~ and a clone of it is sent to each task ~~~ # "
+"use extra::arc::ARC; # use std::vec; # use std::rand; # let numbers=vec::"
 "from_fn(1000000, |_| rand::random::<float>()); # let numbers_arc = "
-"Arc::new(numbers); # let (port, chan)  = stream(); chan.send(numbers_arc."
+"ARC(numbers); # let (port, chan)  = stream(); chan.send(numbers_arc."
 "clone()); ~~~ copying only the wrapper and not its contents."
 msgstr ""
 
 #. type: Plain text
 #: doc/tutorial-tasks.md:414
 msgid ""
-"Each task recovers the underlying data by ~~~ # use extra::arc::Arc; # use "
+"Each task recovers the underlying data by ~~~ # use extra::arc::ARC; # use "
 "std::vec; # use std::rand; # let numbers=vec::from_fn(1000000, |_| rand::"
-"random::<float>()); # let numbers_arc=Arc::new(numbers); # let (port, chan)  = "
-"stream(); # chan.send(numbers_arc.clone()); # let local_arc : Arc<~[float]> "
+"random::<float>()); # let numbers_arc=ARC(numbers); # let (port, chan)  = "
+"stream(); # chan.send(numbers_arc.clone()); # let local_arc : ARC<~[float]> "
 "= port.recv(); let task_numbers = local_arc.get(); ~~~ and can use it as if "
 "it were local."
 msgstr ""
 
 #. type: Plain text
 #: doc/tutorial-tasks.md:416
 msgid ""
-"The `arc` module also implements Arcs around mutable data that are not "
+"The `arc` module also implements ARCs around mutable data that are not "
 "covered here."
 msgstr ""
 

branches/try2/doc/rust.md

@@ -1494,7 +1494,7 @@ mod m1 {
 This example shows how one can use `allow` and `warn` to toggle
 a particular check on and off.
 
-~~~{.xfail-test}
+~~~
 #[warn(missing_doc)]
 mod m2{
     #[allow(missing_doc)]

branches/try2/doc/tutorial-container.md

@@ -108,14 +108,12 @@ impl Iterator<int> for ZeroStream {
 ## Container iterators
 
 Containers implement iteration over the contained elements by returning an
-iterator object. For example, vector slices several iterators available:
+iterator object. For example, vector slices have four iterators available:
 
-* `iter()` and `rev_iter()`, for immutable references to the elements
-* `mut_iter()` and `mut_rev_iter()`, for mutable references to the elements
-* `consume_iter()` and `consume_rev_iter`, to move the elements out by-value
-
-A typical mutable container will implement at least `iter()`, `mut_iter()` and
-`consume_iter()` along with the reverse variants if it maintains an order.
+* `vector.iter()`, for immutable references to the elements
+* `vector.mut_iter()`, for mutable references to the elements
+* `vector.rev_iter()`, for immutable references to the elements in reverse order
+* `vector.mut_rev_iter()`, for mutable references to the elements in reverse order
 
 ### Freezing
 
@@ -194,15 +192,15 @@ let mut it = xs.iter().zip(ys.iter());
 
 // print out the pairs of elements up to (&3, &"baz")
 for it.advance |(x, y)| {
-    printfln!("%d %s", *x, *y);
+    println(fmt!("%d %s", *x, *y));
 
     if *x == 3 {
         break;
     }
 }
 
 // yield and print the last pair from the iterator
-printfln!("last: %?", it.next());
+println(fmt!("last: %?", it.next()));
 
 // the iterator is now fully consumed
 assert!(it.next().is_none());
@@ -296,59 +294,15 @@ another `DoubleEndedIterator` with `next` and `next_back` exchanged.
 ~~~
 let xs = [1, 2, 3, 4, 5, 6];
 let mut it = xs.iter();
-printfln!("%?", it.next()); // prints `Some(&1)`
-printfln!("%?", it.next()); // prints `Some(&2)`
-printfln!("%?", it.next_back()); // prints `Some(&6)`
+println(fmt!("%?", it.next())); // prints `Some(&1)`
+println(fmt!("%?", it.next())); // prints `Some(&2)`
+println(fmt!("%?", it.next_back())); // prints `Some(&6)`
 
 // prints `5`, `4` and `3`
 for it.invert().advance |&x| {
-    printfln!("%?", x)
+    println(fmt!("%?", x))
 }
 ~~~
 
 The `rev_iter` and `mut_rev_iter` methods on vectors just return an inverted
 version of the standard immutable and mutable vector iterators.
-
-The `chain_`, `transform`, `filter`, `filter_map` and `peek` adaptors are
-`DoubleEndedIterator` implementations if the underlying iterators are.
-
-~~~
-let xs = [1, 2, 3, 4];
-let ys = [5, 6, 7, 8];
-let mut it = xs.iter().chain_(ys.iter()).transform(|&x| x * 2);
-
-printfln!("%?", it.next()); // prints `Some(2)`
-
-// prints `16`, `14`, `12`, `10`, `8`, `6`, `4`
-for it.invert().advance |x| {
-    printfln!("%?", x);
-}
-~~~
-
-## Random-access iterators
-
-The `RandomAccessIterator` trait represents an iterator offering random access
-to the whole range. The `indexable` method retrieves the number of elements
-accessible with the `idx` method.
-
-The `chain_` adaptor is an implementation of `RandomAccessIterator` if the
-underlying iterators are.
-
-~~~
-let xs = [1, 2, 3, 4, 5];
-let ys = ~[7, 9, 11];
-let mut it = xs.iter().chain_(ys.iter());
-printfln!("%?", it.idx(0)); // prints `Some(&1)`
-printfln!("%?", it.idx(5)); // prints `Some(&7)`
-printfln!("%?", it.idx(7)); // prints `Some(&11)`
-printfln!("%?", it.idx(8)); // prints `None`
-
-// yield two elements from the beginning, and one from the end
-it.next();
-it.next();
-it.next_back();
-
-printfln!("%?", it.idx(0)); // prints `Some(&3)`
-printfln!("%?", it.idx(4)); // prints `Some(&9)`
-printfln!("%?", it.idx(6)); // prints `None`
-~~~

branches/try2/doc/tutorial-tasks.md

@@ -50,7 +50,7 @@ concurrency at this writing:
 * [`std::pipes`] - The underlying messaging infrastructure,
 * [`extra::comm`] - Additional messaging types based on `std::pipes`,
 * [`extra::sync`] - More exotic synchronization tools, including locks,
-* [`extra::arc`] - The Arc (atomically reference counted) type,
+* [`extra::arc`] - The ARC (atomically reference counted) type,
   for safely sharing immutable data,
 * [`extra::future`] - A type representing values that may be computed concurrently and retrieved at a later time.
 
@@ -334,24 +334,24 @@ fn main() {
 }
 ~~~
 
-## Sharing immutable data without copy: Arc
+## Sharing immutable data without copy: ARC
 
 To share immutable data between tasks, a first approach would be to only use pipes 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 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 `extra` library of Rust. With an Arc, the data will no longer be copied for each task. The Arc
+To tackle this issue, one can use an Atomically Reference Counted wrapper (`ARC`) as implemented in
+the `extra` library of Rust. With an ARC, the data will no longer be copied for each task. 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
+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 full vector to perform its duty.
 ~~~
 # use std::vec;
 # use std::uint;
 # use std::rand;
-use extra::arc::Arc;
+use extra::arc::ARC;
 
 fn pnorm(nums: &~[float], p: uint) -> float {
     nums.iter().fold(0.0, |a,b| a+(*b).pow(&(p as float)) ).pow(&(1f / (p as float)))
@@ -361,14 +361,14 @@ fn main() {
     let numbers = vec::from_fn(1000000, |_| rand::random::<float>());
     println(fmt!("Inf-norm = %?",  *numbers.iter().max().unwrap()));
 
-    let numbers_arc = Arc::new(numbers);
+    let numbers_arc = ARC(numbers);
 
     for uint::range(1,10) |num| {
         let (port, chan)  = stream();
         chan.send(numbers_arc.clone());
 
         do spawn {
-            let local_arc : Arc<~[float]> = port.recv();
+            let local_arc : ARC<~[float]> = port.recv();
             let task_numbers = local_arc.get();
             println(fmt!("%u-norm = %?", num, pnorm(task_numbers, num)));
         }
@@ -377,42 +377,42 @@ fn main() {
 ~~~
 
 The function `pnorm` performs a simple computation on the vector (it computes the sum of its items
-at the power given as argument and takes the inverse power of this value). The Arc on the vector is
+at the power given as argument and takes the inverse power of this value). The ARC on the vector is
 created by the line
 ~~~
-# use extra::arc::Arc;
+# use extra::arc::ARC;
 # use std::vec;
 # use std::rand;
 # let numbers = vec::from_fn(1000000, |_| rand::random::<float>());
-let numbers_arc=Arc::new(numbers);
+let numbers_arc=ARC(numbers);
 ~~~
 and a clone of it is sent to each task
 ~~~
-# use extra::arc::Arc;
+# use extra::arc::ARC;
 # use std::vec;
 # use std::rand;
 # let numbers=vec::from_fn(1000000, |_| rand::random::<float>());
-# let numbers_arc = Arc::new(numbers);
+# let numbers_arc = ARC(numbers);
 # let (port, chan)  = stream();
 chan.send(numbers_arc.clone());
 ~~~
 copying only the wrapper and not its contents.
 
 Each task recovers the underlying data by
 ~~~
-# use extra::arc::Arc;
+# use extra::arc::ARC;
 # use std::vec;
 # use std::rand;
 # let numbers=vec::from_fn(1000000, |_| rand::random::<float>());
-# let numbers_arc=Arc::new(numbers);
+# let numbers_arc=ARC(numbers);
 # let (port, chan)  = stream();
 # chan.send(numbers_arc.clone());
-# let local_arc : Arc<~[float]> = port.recv();
+# let local_arc : ARC<~[float]> = port.recv();
 let task_numbers = local_arc.get();
 ~~~
 and can use it as if it were local.
 
-The `arc` module also implements Arcs around mutable data that are not covered here.
+The `arc` module also implements ARCs around mutable data that are not covered here.
 
 # Handling task failure