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  2. pytest - Wikipedia

    en.wikipedia.org/wiki/Pytest

    Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests. Its features include parametrized testing, fixtures, and assert re-writing.

  3. Python (programming language) - Wikipedia

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

    This is reflected in its name—a tribute to the British comedy group Monty Python [89] —and in occasionally playful approaches to tutorials and reference materials, such as the use of the terms "spam" and "eggs" (a reference to a Monty Python sketch) in examples, instead of the often-used "foo" and "bar".

  4. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]

  5. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...

  6. tox (Python testing wrapper) - Wikipedia

    en.wikipedia.org/wiki/Tox_(Python_testing_wrapper)

    tox is a command-line driven automated testing tool for Python, based on the use of virtualenv. It can be used for both manually-invoked testing from the desktop, or continuous testing within continuous integration frameworks such as Jenkins or Travis CI. [1] [2] Its use began to become popular in the Python community from around 2015. [3]

  7. All-pairs testing - Wikipedia

    en.wikipedia.org/wiki/All-pairs_testing

    Thus, a combinatorial technique for picking test cases like all-pairs testing is a useful cost-benefit compromise that enables a significant reduction in the number of test cases without drastically compromising functional coverage. [5] More rigorously, if we assume that a test case has parameters given in a set {} = {,,...

  8. Delta debugging - Wikipedia

    en.wikipedia.org/wiki/Delta_Debugging

    DD.py - a Python implementation of Delta Debugging; also see its tutorial; Lithium - a Python implementation of an enhanced Delta Debugging algorithm; C-Reduce, which reduces source files written in C/C++, uses the Delta algorithms; Perses - a language-agnostic reducer for program minimization, which employs Delta debugging algorithm.

  9. Fuzzing - Wikipedia

    en.wikipedia.org/wiki/Fuzzing

    In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks. Typically, fuzzers are ...