PyChecker 0.8.17

PyChecker is a tool for finding bugs in python source code

Developer:	Neal Norwitz more software by author →
Price:	0.00
License:	BSD License
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PyChecker is a tool for finding bugs in python source code. PyChecker program finds problems that are typically caught by a compiler for less dynamic languages, like C and C++. It is similar to lint. Because of the dynamic nature of python, some warnings may be incorrect; however, spurious warnings should be fairly infrequent.

PyChecker works in a combination of ways. First, it imports each module. If there is an import error, the module cannot be processed. The import provides some basic information about the module. The code for each function, class, and method is checked for possible problems.

Types of problems that can be found include:

No global found (e.g., using a module without importing it)

Passing the wrong number of parameters to functions/methods/constructors

Passing the wrong number of parameters to builtin functions & methods

Using format strings that don't match arguments

Using class methods and attributes that don't exist

Changing signature when overriding a method

Redefining a function/class/method in the same scope

Using a variable before setting it

self is not the first parameter defined for a method

Unused globals and locals (module or variable)

Unused function/method arguments (can ignore self)

No doc strings in modules, classes, functions, and methods

What's New in This Release:

This release added new options to limit the number of warnings shown, only show warnings from files on the command line, display warnings by class (warning type), disable C extensions that crash, and add support for ROT_ opcodes.

Spurious warnings from bit operations, int(x/y), wrong filenames, and setup/install problems were fixed.
tags

wrong number that don this release warnings from the wrong passing the spurious warnings the module function class problems that

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Authors software

PyChecker 0.8.17 (by Neal Norwitz)
PyChecker is a tool for finding bugs in python source code

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