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  2. Comparison of code generation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_code...

    Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) DRAKON.

  3. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    Basic general information about the generators, including: creator or company, license, and price.

  4. Sphinx (documentation generator) - Wikipedia

    en.wikipedia.org/wiki/Sphinx_(documentation...

    Sphinx is a documentation generator written and used by the Python community. It is written in Python, and also used in other environments.

  5. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration ...

  6. Generator (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Generator_(computer...

    Generators first appeared in CLU (1975), [5] were a prominent feature in the string manipulation language Icon (1977) and are now available in Python (2001), [6] C#, [7] Ruby, PHP, [8] ECMAScript (as of ES6/ES2015 ), and other languages. In CLU and C#, generators are called iterators, and in Ruby, enumerators .

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list.

  8. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Strings in Python can be concatenated by "adding" them (with the same operator as for adding integers and floats), e.g. "spam" + "eggs" returns "spameggs". If strings contain numbers, they are added as strings rather than integers, e.g. "2" + "2" returns "22". Python has various string literals :

  9. Linear congruential generator - Wikipedia

    en.wikipedia.org/wiki/Linear_congruential_generator

    Python code. The following is an implementation of an LCG in Python, in the form of a generator : from collections.abc import Generator def lcg(modulus: int, a: int, c: int, seed: int) -> Generator[int, None, None]: """Linear congruential generator.""" while True: seed = (a * seed + c) % modulus yield seed.

  10. Code generation (compiler) - Wikipedia

    en.wikipedia.org/wiki/Code_generation_(compiler)

    In computing, code generation is part of the process chain of a compiler and converts intermediate representation of source code into a form (e.g., machine code) that can be readily executed by the target system.

  11. Blockly - Wikipedia

    en.wikipedia.org/wiki/Blockly

    Blockly uses visual blocks that link together to make writing code easier, and can generate code in JavaScript, Lua, Dart, Python, or PHP. It can also be customized to generate code in any textual programming language. [3]