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  2. Infinite monkey theorem - Wikipedia

    en.wikipedia.org/wiki/Infinite_monkey_theorem

    Infinite monkey theorem. The infinite monkey theorem states that a monkey hitting keys at random on a typewriter keyboard for an infinite amount of time will almost surely type any given text, including the complete works of William Shakespeare. In fact, the monkey would almost surely type every possible finite text an infinite number of times.

  3. Diehard tests - Wikipedia

    en.wikipedia.org/wiki/Diehard_tests

    The diehard tests are a battery of statistical tests for measuring the quality of a random number generator. They were developed by George Marsaglia over several years and first published in 1995 on a CD-ROM of random numbers. [1] In 2006, the original diehard tests were extended into the dieharder tests.

  4. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.

  5. Category:Random text generation - Wikipedia

    en.wikipedia.org/wiki/Category:Random_text...

    Pages in category "Random text generation". The following 19 pages are in this category, out of 19 total. This list may not reflect recent changes.

  6. Comparison of code generation tools - Wikipedia

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

    Any textual language. DMS Software Reengineering Toolkit. 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) gSOAP.

  7. 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 ...

  8. Random.org - Wikipedia

    en.wikipedia.org/wiki/Random.org

    Random.org (stylized as RANDOM.ORG) is a website that produces random numbers based on atmospheric noise. [1] In addition to generating random numbers in a specified range and subject to a specified probability distribution, which is the most commonly done activity on the site, it has free tools to simulate events such as flipping coins, shuffling cards, and rolling dice.

  9. CodeMonkey (software) - Wikipedia

    en.wikipedia.org/wiki/CodeMonkey_(software)

    CodeMonkey (software) Jonathan Schor, Ido Schor and Yishai Pinchover. CodeMonkey is an educational computer coding environment that allows beginners to learn computer programming concepts and languages. [2][3][4] CodeMonkey is intended for students ages 6–14. Students learn text-based coding on languages like Python, Blockly and CoffeeScript ...

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