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In computer programming, the interpreter pattern is a design pattern that specifies how to evaluate sentences in a language. The basic idea is to have a class for each symbol ( terminal or nonterminal ) in a specialized computer language .
In object-oriented programming, the iterator pattern is a design pattern in which an iterator is used to traverse a container and access the container's elements. The iterator pattern decouples algorithms from containers; in some cases, algorithms are necessarily container-specific and thus cannot be decoupled.
[[Category:Route diagram templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Route diagram templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
A process flow diagram describing the construction of a structure chart by a so-called Subject Matter Experts (SME). [2]According to Wolber (2009), "a structure chart can be developed starting with the creating of a structure, which places the root of an upside-down tree which forms the structure chart.
Jinja is a web template engine for the Python programming language. It was created by Armin Ronacher and is licensed under a BSD License. Jinja is similar to the Django template engine, but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language and thus can be used to ...
A sample UML class and sequence diagram for the State design pattern. [2] The state design pattern is one of twenty-three design patterns documented by the Gang of Four that describe how to solve recurring design problems. Such problems cover the design of flexible and reusable object-oriented software, such as objects that are easy to ...
Bytecode (also called portable code or p-code) is a form of instruction set designed for efficient execution by a software interpreter.Unlike human-readable [1] source code, bytecodes are compact numeric codes, constants, and references (normally numeric addresses) that encode the result of compiler parsing and performing semantic analysis of things like type, scope, and nesting depths of ...
Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy. PyPy itself is built using a technique known as meta-tracing, which is a mostly automatic transformation that takes an interpreter as input and produces a tracing just-in-time compiler as ...