@@ -15,31 +15,28 @@ the whole language, though not with the depth and precision of the
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Rust is a systems programming language with a focus on type safety,
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memory safety, concurrency and performance. It is intended for writing
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- large, high- performance applications while preventing several classes
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+ large, high performance applications while preventing several classes
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of errors commonly found in languages like C++. Rust has a
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- sophisticated memory model that makes possible many of the efficient
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- data structures used in C++, while disallowing invalid memory accesses
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- that would otherwise cause segmentation faults. Like other systems
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- languages, it is statically typed and compiled ahead of time.
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+ sophisticated memory model that enables many of the efficient data
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+ structures used in C++ while disallowing invalid memory access that
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+ would otherwise cause segmentation faults. Like other systems
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+ languages it is statically typed and compiled ahead of time.
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- As a multi-paradigm language, Rust supports writing code in
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- procedural, functional and object-oriented styles. Some of its nice
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+ As a multi-paradigm language it has strong support for writing code in
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+ procedural, functional and object-oriented styles. Some of it's nice
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high-level features include:
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- * *** Pattern matching and algebraic data types (enums).*** Common in
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- functional languages, pattern matching on ADTs provides a compact
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- and expressive way to encode program logic.
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- * *** Task-based concurrency.*** Rust uses lightweight tasks that do
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- not share memory.
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- * *** Higher-order functions.*** Rust functions may take closures as
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- arguments or return closures as return values. Closures in Rust are
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- very powerful and used pervasively.
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- * *** Interface polymorphism.*** Rust's type system features a unique
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- combination of Java-style interfaces and Haskell-style typeclasses.
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- * *** Parametric polymorphism (generics).*** Functions and types can be
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- parameterized over type variables with optional type constraints.
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- * *** Type inference.*** Type annotations on local variable
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- declarations can be omitted.
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+ * Pattern matching and algebraic data types (enums) - common in functional
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+ languages, pattern matching on ADTs provides a compact and expressive
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+ way to encode program logic
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+ * Task-based concurrency - Rust uses lightweight tasks that do not share
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+ memory
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+ * Higher-order functions - Closures in Rust are very powerful and used
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+ pervasively
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+ * Polymorphism - Rust's type system features a unique combination of
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+ Java-style interfaces and Haskell-style typeclasses
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+ * Generics - Functions and types can be parameterized over generic
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+ types with optional type constraints
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## First impressions
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@@ -232,7 +229,7 @@ into an error.
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## Anatomy of a Rust program
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- In its simplest form, a Rust program is a ` .rs ` file with some
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+ In its simplest form, a Rust program is simply a ` .rs ` file with some
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types and functions defined in it. If it has a ` main ` function, it can
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be compiled to an executable. Rust does not allow code that's not a
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declaration to appear at the top level of the file—all statements must
@@ -1184,59 +1181,61 @@ several of Rust's unique features as we encounter them.
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Rust has three competing goals that inform its view of memory:
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- * Memory safety: memory that is managed by and is accessible to the
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- Rust language must be guaranteed to be valid; under normal
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- circumstances it must be impossible for Rust to trigger a
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- segmentation fault or leak memory
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- * Performance: high-performance low-level code must be able to employ
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- a number of allocation strategies; low-performance high-level code
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- must be able to employ a single, garbage-collection-based, heap
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- allocation strategy
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- * Concurrency: Rust must maintain memory safety guarantees, even for
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- code running in parallel
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+ * Memory safety - memory that is managed by and is accessible to
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+ the Rust language must be guaranteed to be valid. Under normal
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+ circumstances it is impossible for Rust to trigger a segmentation
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+ fault or leak memory
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+ * Performance - high-performance low-level code tends to employ
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+ a number of allocation strategies. low-performance high-level
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+ code often uses a single, GC-based, heap allocation strategy
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+ * Concurrency - Rust must maintain memory safety guarantees even
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+ for code running in parallel
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## How performance considerations influence the memory model
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- Most languages that offer strong memory safety guarantees rely upon a
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- garbage-collected heap to manage all of the objects. This approach is
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- straightforward both in concept and in implementation, but has
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- significant costs. Languages that take this approach tend to
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+ Many languages that ofter the kinds of memory safety guarentees that
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+ Rust does have a single allocation strategy: objects live on the heap,
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+ live for as long as they are needed, and are periodically garbage
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+ collected. This is very straightforword both conceptually and in
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+ implementation, but has very significant costs. Such languages tend to
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aggressively pursue ways to ameliorate allocation costs (think the
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- Java Virtual Machine ). Rust supports this strategy with _ shared
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- boxes_ : memory allocated on the heap that may be referred to (shared)
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+ Java virtual machine ). Rust supports this strategy with _ shared
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+ boxes_ , memory allocated on the heap that may be referred to (shared)
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by multiple variables.
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- By comparison, languages like C++ offer very precise control over
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- where objects are allocated. In particular, it is common to put them
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- directly on the stack, avoiding expensive heap allocation. In Rust
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- this is possible as well, and the compiler will use a clever _ pointer
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- lifetime analysis _ to ensure that no variable can refer to stack
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+ In comparison, languages like C++ offer a very precise control over
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+ where objects are allocated. In particular, it is common to put
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+ them directly on the stack, avoiding expensive heap allocation. In
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+ Rust this is possible as well, and the compiler will use a clever
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+ lifetime analysis to ensure that no variable can refer to stack
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objects after they are destroyed.
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## How concurrency considerations influence the memory model
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- Memory safety in a concurrent environment involves avoiding race
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+ Memory safety in a concurrent environment tends to mean avoiding race
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conditions between two threads of execution accessing the same
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- memory. Even high-level languages often require programmers to
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- correctly employ locking to ensure that a program is free of races.
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-
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- Rust starts from the position that memory cannot be shared between
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- tasks. Experience in other languages has proven that isolating each
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- task's heap from the others is a reliable strategy and one that is
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- easy for programmers to reason about. Heap isolation has the
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- additional benefit that garbage collection must only be done
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- per-heap. Rust never "stops the world" to garbage-collect memory.
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-
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- Complete isolation of heaps between tasks implies that any data
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- transferred between tasks must be copied. While this is a fine and
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- useful way to implement communication between tasks, it is also very
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- inefficient for large data structures. Because of this, Rust also
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- employs a global _ exchange heap_ . Objects allocated in the exchange
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- heap have _ ownership semantics_ , meaning that there is only a single
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- variable that refers to them. For this reason, they are referred to as
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- _ unique boxes_ . All tasks may allocate objects on the exchange heap,
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- then transfer ownership of those objects to other tasks, avoiding
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- expensive copies.
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+ memory. Even high-level languages frequently avoid solving this
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+ problem, requiring programmers to correctly employ locking to unsure
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+ their program is free of races.
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+
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+ Rust starts from the position that memory simply cannot be shared
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+ between tasks. Experience in other languages has proven that isolating
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+ each tasks' heap from each other is a reliable strategy and one that
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+ is easy for programmers to reason about. Having isolated heaps
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+ additionally means that garbage collection must only be done
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+ per-heap. Rust never 'stops the world' to garbage collect memory.
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+
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+ If Rust tasks have completely isolated heaps then that seems to imply
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+ that any data transferred between them must be copied. While this
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+ is a fine and useful way to implement communication between tasks,
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+ it is also very inefficient for large data structures.
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+
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+ Because of this Rust also introduces a global "exchange heap". Objects
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+ allocated here have _ ownership semantics_ , meaning that there is only
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+ a single variable that refers to them. For this reason they are
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+ refered to as _ unique boxes_ . All tasks may allocate objects on this
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+ heap, then transfer ownership of those allocations to other tasks,
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+ avoiding expensive copies.
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## What to be aware of
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@@ -1250,11 +1249,11 @@ of each is key to using Rust effectively.
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# Boxes and pointers
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In contrast to a lot of modern languages, aggregate types like records
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- and enums are _ not _ represented as pointers to allocated memory in
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- Rust. They are, as in C and C++, represented directly. This means that
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- if you ` let x = {x: 1f, y: 1f}; ` , you are creating a record on the
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- stack. If you then copy it into a data structure, the whole record is
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- copied, not just a pointer.
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+ and enums are not represented as pointers to allocated memory. They
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+ are, like in C and C++, represented directly. This means that if you
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+ ` let x = {x: 1f, y: 1f}; ` , you are creating a record on the stack. If
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+ you then copy it into a data structure, the whole record is copied,
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+ not just a pointer.
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For small records like ` point ` , this is usually more efficient than
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allocating memory and going through a pointer. But for big records, or
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for drop.
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In the constructor, the compiler will enforce that all fields are initialized
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- before doing anything that might allow them to be accessed. This includes
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+ before doing anything which might allow them to be accessed. This includes
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returning from the constructor, calling any method on 'self', calling any
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function with 'self' as an argument, or taking a reference to 'self'. Mutation
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of immutable fields is possible only in the constructor, and only before doing
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of ` seq<int> ` —the ` of ` clause * refers* to a type, rather than defining
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one.
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- The type parameters bound by an iface are in scope in each of the
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- method declarations. So, re-declaring the type parameter
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- ` T ` as an explicit type parameter for ` len ` -- in either the iface or
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- the impl -- would be a compile-time error.
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-
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- ## The ` self ` type in interfaces
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-
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- In an interface, ` self ` is a special type that you can think of as a
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- type parameter. An implementation of the interface for any given type
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- ` T ` replaces the ` self ` type parameter with ` T ` . The following
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- interface describes types that support an equality operation:
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-
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- ~~~~
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- iface eq {
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- fn equals(&&other: self) -> bool;
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- }
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-
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- impl of eq for int {
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- fn equals(&&other: int) -> bool { other == self }
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- }
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- ~~~~
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-
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- Notice that ` equals ` takes an ` int ` argument, rather than a ` self ` argument, in
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- an implementation for type ` int ` .
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-
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## Casting to an interface type
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The above allows us to define functions that polymorphically act on
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briefly at how it is used.
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To see how ` spawn_listener() ` works, we will create a child task
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- that receives ` uint ` messages, converts them to a string, and sends
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+ which receives ` uint ` messages, converts them to a string, and sends
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the string in response. The child terminates when ` 0 ` is received.
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- Here is the function that implements the child task:
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+ Here is the function which implements the child task:
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~~~~
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# import comm::{port, chan, methods};
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