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The reference Scala software distribution, including compiler and libraries, is released under the Apache license.
Version v1. Scala Native is a Scala compiler that targets the LLVM compiler infrastructure to create executable code that uses a lightweight managed runtime, which uses the Boehm garbage collector.
The project is led by Denys Shabalin and had its first release, 0. Development of Scala Native began in with a goal of being faster than just-in-time compilation for the JVM by eliminating the initial runtime compilation of code and also providing the ability to call native routines directly.
A reference Scala compiler targeting the. The Hello World program written in Scala has this form:. Unlike the stand-alone Hello World application for Java , there is no class declaration and nothing is declared to be static; a singleton object created with the object keyword is used instead.
When the program is stored in file HelloWorld. This is analogous to the process for compiling and running Java code. Indeed, Scala's compiling and executing model is identical to that of Java, making it compatible with Java build tools such as Apache Ant.
Scala includes interactive shell and scripting support. Commands can also be entered directly into the Scala interpreter, using the option -e :.
Expressions can be entered interactively in the REPL :. These syntactic relaxations are designed to allow support for domain-specific languages.
The code above shows some of the conceptual differences between Java and Scala's handling of classes:.
Scala has the same compiling model as Java and C , namely separate compiling and dynamic class loading , so that Scala code can call Java libraries.
Scala's operational characteristics are the same as Java's. The Scala compiler generates byte code that is nearly identical to that generated by the Java compiler.
The only difference is one extra runtime library, scala-library. Scala adds a large number of features compared with Java, and has some fundamental differences in its underlying model of expressions and types, which make the language theoretically cleaner and eliminate several corner cases in Java.
From the Scala perspective, this is practically important because several added features in Scala are also available in C.
Examples include:. As mentioned above, Scala has a good deal of syntactic flexibility, compared with Java.
The following are some examples:. By themselves, these may seem like questionable choices, but collectively they serve the purpose of allowing domain-specific languages to be defined in Scala without needing to extend the compiler.
For example, Erlang 's special syntax for sending a message to an actor, i. Java makes a sharp distinction between primitive types e.
Only reference types are part of the inheritance scheme, deriving from java. In Scala, all types inherit from a top-level class Any , whose immediate children are AnyVal value types, such as Int and Boolean and AnyRef reference types, as in Java.
This means that the Java distinction between primitive types and boxed types e. Integer is not present in Scala; boxing and unboxing is completely transparent to the user.
Scala 2. Instead of the Java " foreach " loops for looping through an iterator, Scala has for -expressions, which are similar to list comprehensions in languages such as Haskell, or a combination of list comprehensions and generator expressions in Python.
For-expressions using the yield keyword allow a new collection to be generated by iterating over an existing one, returning a new collection of the same type.
They are translated by the compiler into a series of map , flatMap and filter calls. Where yield is not used, the code approximates to an imperative-style loop, by translating to foreach.
Note that the expression 1 to 25 is not special syntax. The method to is rather defined in the standard Scala library as an extension method on integers, using a technique known as implicit conversions  that allows new methods to be added to existing types.
Iterating over a map returns a set of key-value tuples , and pattern-matching allows the tuples to easily be destructured into separate variables for the key and value.
Similarly, the result of the comprehension also returns key-value tuples, which are automatically built back up into a map because the source object from the variable mentions is a map.
Note that if mentions instead held a list, set, array or other collection of tuples, exactly the same code above would yield a new collection of the same type.
While supporting all of the object-oriented features available in Java and in fact, augmenting them in various ways , Scala also provides a large number of capabilities that are normally found only in functional programming languages.
Together, these features allow Scala programs to be written in an almost completely functional style and also allow functional and object-oriented styles to be mixed.
Unlike C or Java, but similar to languages such as Lisp , Scala makes no distinction between statements and expressions.
All statements are in fact expressions that evaluate to some value. Functions that would be declared as returning void in C or Java, and statements like while that logically do not return a value, are in Scala considered to return the type Unit , which is a singleton type , with only one object of that type.
Functions and operators that never return at all e. This in turn makes type Nothing compatible with every type, allowing type inference to function correctly.
Similarly, an if-then-else "statement" is actually an expression, which produces a value, i. This means that such a block of code can be inserted wherever an expression is desired, obviating the need for a ternary operator in Scala:.
For similar reasons, return statements are unnecessary in Scala, and in fact are discouraged. As in Lisp, the last expression in a block of code is the value of that block of code, and if the block of code is the body of a function, it will be returned by the function.
To make it clear that all functions are expressions, even methods that return Unit are written with an equals sign. Due to type inference , the type of variables, function return values, and many other expressions can typically be omitted, as the compiler can deduce it.
Type inference in Scala is essentially local, in contrast to the more global Hindley-Milner algorithm used in Haskell , ML and other more purely functional languages.
This is done to facilitate object-oriented programming. The result is that certain types still need to be declared most notably, function parameters, and the return types of recursive functions , e.
In Scala, functions are objects, and a convenient syntax exists for specifying anonymous functions. Note that neither the type of x nor the return type need be explicitly specified, and can generally be inferred by type inference ; but they can be explicitly specified, e.
Anonymous functions behave as true closures in that they automatically capture any variables that are lexically available in the environment of the enclosing function.
Those variables will be available even after the enclosing function returns, and unlike in the case of Java's anonymous inner classes do not need to be declared as final.
It is even possible to modify such variables if they are mutable, and the modified value will be available the next time the anonymous function is called.
An even shorter form of anonymous function uses placeholder variables: For example, the following:. Scala enforces a distinction between immutable and mutable variables.
Mutable variables are declared using the var keyword and immutable values are declared using the val keyword. A variable declared using the val keyword can not be reassigned in the same way that a variable declared using the final keyword can't be reassigned in Java.
It should be noted however that val 's are only shallowly immutable, that is, an object referenced by a val is not guaranteed to itself be immutable.
Immutable classes are encouraged by convention however, and the Scala standard library provides a rich set of immutable collection classes.
Scala provides mutable and immutable variants of most collection classes, and the immutable version is always used unless the mutable version is explicitly imported.
An example of this is immutable linked lists where prepending an element to a list is done by returning a new list node consisting of the element and a reference to the list tail.
Appending an element to a list can only be done by prepending all elements in the old list to a new list with only the new element.
In the same way, inserting an element in the middle of a list will copy the first half of the list, but keep a reference to the second half of the list.
This is called structural sharing. This allows for very easy concurrency — no locks are needed as no shared objects are ever modified.
Evaluation is strict "eager" by default. In other words, Scala evaluates expressions as soon as they are available, rather than as needed.
However, it is possible to declare a variable non-strict "lazy" with the lazy keyword, meaning that the code to produce the variable's value will not be evaluated until the first time the variable is referenced.
Non-strict collections of various types also exist such as the type Stream , a non-strict linked list , and any collection can be made non-strict with the view method.
Non-strict collections provide a good semantic fit to things like server-produced data, where the evaluation of the code to generate later elements of a list that in turn triggers a request to a server, possibly located somewhere else on the web only happens when the elements are actually needed.
Functional programming languages commonly provide tail call optimization to allow for extensive use of recursion without stack overflow problems.
Limitations in Java bytecode complicate tail call optimization on the JVM. In general, a function that calls itself with a tail call can be optimized, but mutually recursive functions cannot.
Trampolines have been suggested as a workaround. TailCalls since Scala 2. A function may optionally be annotated with tailrec , in which case it will not compile unless it is tail recursive.
Scala has built-in support for pattern matching , which can be thought of as a more sophisticated, extensible version of a switch statement , where arbitrary data types can be matched rather than just simple types like integers, booleans and strings , including arbitrary nesting.
A special type of class known as a case class is provided, which includes automatic support for pattern matching and can be used to model the algebraic data types used in many functional programming languages.
From the perspective of Scala, a case class is simply a normal class for which the compiler automatically adds certain behaviors that could also be provided manually, e.
An example of a definition of the quicksort algorithm using pattern matching is this:. The idea here is that we partition a list into the elements less than a pivot and the elements not less, recursively sort each part, and paste the results together with the pivot in between.
This uses the same divide-and-conquer strategy of mergesort and other fast sorting algorithms. The match operator is used to do pattern matching on the object stored in list.
Each case expression is tried in turn to see if it will match, and the first match determines the result.
In this case, the associated code will have access to a local variable named pivot holding the head of the list, and another variable tail holding the tail of the list.
The Scala Center team further: we re For instance, the compiler can summon JSON serializers and des Scala runs on Scala in a Nutshell click the boxes below to see Scala in action!
Type inference. Let the compiler figure out the types for you The Scala compiler is smart about static types.
Traits Combine the flexibility of Java-style interfaces with the power of classes. Match against class hierarchies, sequences, and more.
Higher-order functions Functions are first-class objects. Switch on the structure of your data In Scala, case classes are used to represent structural data types.
Pattern matching. Go Functional with Higher-Order Functions In Scala, functions are values, and can be defined as anonymous functions with a concise syntax.
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