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Python. PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer.
A list of verification tools for probabilistic, stochastic, hybrid, and timed systems. Common benchmarks. MCC (models of the Model Checking Contest): a collection of hundreds of Petri nets originating from many academic and industrial case studies. VLTS (Very Large Transition Systems): a collection of Labelled Transition Systems of increasing ...
Cyclic redundancy check. A cyclic redundancy check ( CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to digital data. [1] [2] Blocks of data entering these systems get a short check value attached, based on the remainder of a polynomial division of their contents.
Lint (software) Lint is the computer science term for a static code analysis tool used to flag programming errors, bugs, stylistic errors and suspicious constructs. [1] The term originates from a Unix utility that examined C language source code. [2] A program which performs this function is also known as a "linter".
Python is a high-level, general-purpose programming language.Its design philosophy emphasizes code readability with the use of significant indentation.. Python is dynamically typed and garbage-collected.
Luhn algorithm. The Luhn algorithm or Luhn formula, also known as the " modulus 10" or "mod 10" algorithm, named after its creator, IBM scientist Hans Peter Luhn, is a simple check digit formula used to validate a variety of identification numbers. It is described in U.S. Patent No. 2,950,048, granted on August 23, 1960.
Pylint is a static code analysis tool for the Python programming language. It is named following a common convention in Python of a "py" prefix, and a nod to the C programming lint program. It follows the style recommended by PEP 8, the Python style guide. [4] It is similar to Pychecker and Pyflakes, but includes the following features ...
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.