This package provides a library called hypothesis for testing Python code, which has more examples and is based on the Haskell library, Quickcheck, which is used to integrate directly into your existing Python unit testing work. Python 3 version.
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Hypothesis strategies for generating Python programs
Hypothesis strategies for generating Python programs, something like CSmith.
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
A concrete syntax tree with AST-like properties for Python 3
LibCST parses Python source code as a CST tree that keeps all formatting details (comments, whitespaces, parentheses, etc). It's useful for building automated refactoring (codemod) applications and linters. LibCST creates a compromise between an Abstract Syntax Tree (AST) and a traditional Concrete Syntax Tree (CST). By carefully reorganizing and naming node types and fields, it creates a lossless CST that looks and feels like an AST.