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In computer science, a dynamic array, growable array, resizable array, dynamic table, mutable array, or array list is a random access, variable-size list data structure that allows elements to be added or removed. It is supplied with standard libraries in many modern mainstream programming languages.
Both Java and the .NET Framework have mutable versions of string. In Java [5]: 84 these are StringBuffer and StringBuilder (mutable versions of Java String) and in .NET this is StringBuilder (mutable version of .Net String). Python 3 has a mutable string (bytes) variant, named bytearray. [6]
It is possible for instances referenced by the immutable interface type to be cast to their concrete, mutable type, and have their state mutated. For example: For example: public void mutate ( ImmutablePoint2D point ) { (( Point2D ) point ). setX ( 42 ); // this call is legal, since the type has // been converted to the mutable Point2D class }
The Java programming language is not particularly functional. Despite this, the core JDK package java.util.concurrent includes CopyOnWriteArrayList and CopyOnWriteArraySet which are persistent structures, implemented using copy-on-write techniques. The usual concurrent map implementation in Java, ConcurrentHashMap, is not persistent, however.
Many languages have explicit pointers or references. Reference types differ from these in that the entities they refer to are always accessed via references; for example, whereas in C++ it's possible to have either a std:: string and a std:: string *, where the former is a mutable string and the latter is an explicit pointer to a mutable string (unless it's a null pointer), in Java it is only ...
With Java 5.0, additional wrapper classes were introduced in the java.util.concurrent.atomic package. These classes are mutable and cannot be used as a replacement for the regular wrapper classes. Instead, they provide atomic operations for addition, increment and assignment. The atomic wrapper classes and their corresponding types are:
JavaBeans are inherently mutable and so lack the advantages offered by immutable objects. [1] Having to create getters for every property and setters for many, most, or all of them can lead to an immense quantity of boilerplate code.
In contrast, mutable objects can share state. Mutability allows better object reuse via the caching and re-initialization of old, unused objects. Sharing is usually nonviable when state is highly variable. Other primary concerns include retrieval (how the end-client accesses the flyweight), caching and concurrency.