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Python; Perl, via the metaclass pragma, as well as Moose; Ruby; Smalltalk; C++ (proposed for a possible inclusion in future version of the standard) [11] Some less widespread languages that support metaclasses include OpenJava, OpenC++, OpenAda, CorbaScript, ObjVLisp, Object-Z, MODEL-K, XOTcl, and MELDC. Several of these languages date from the ...
In some languages, such as Python, Ruby or Smalltalk, a class is also an object; thus each class is an instance of a unique metaclass that is built into the language. [4] [35] [36] The Common Lisp Object System (CLOS) provides metaobject protocols (MOPs) to implement those classes and metaclasses. [37]
In knowledge representation, particularly in the Semantic Web, a metaclass is a class whose instances can themselves be classes. Similar to their role in programming languages, metaclasses in ontology languages can have properties otherwise applicable only to individuals, while retaining the same class's ability to be classified in a concept hierarchy.
A classifier is an abstract metaclass classification concept that serves as a mechanism to show interfaces, classes, datatypes and components.. A classifier describes a set of instances that have common behavioral and structural features (operations and attributes, respectively).
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.
A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.
In UML 2.4.1, an element is an abstract class with no superclass. [2] It is used as the superclass or base class, as known by object-oriented programmers, for all the metaclasses in the UML infrastructure library.
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.