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<title>aports/testing/pychecker, branch master</title>
<subtitle>Main aports tree
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<entry>
<title>testing/[multiple]: move unmaintained packages</title>
<updated>2016-08-25T13:26:24+00:00</updated>
<author>
<name>Carlo Landmeter</name>
<email>clandmeter@gmail.com</email>
</author>
<published>2016-08-25T13:26:24+00:00</published>
<link rel='alternate' type='text/html' href='https://git-old.alpinelinux.org/aports/commit/?id=b6af1e02efe594039707cd882517663d5370f375'/>
<id>b6af1e02efe594039707cd882517663d5370f375</id>
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This moves all packages from testing to unmaintained which have not been
updated for atleast 6 months. If you are affected by this commit please follow
this proceddure:

* make sure your packages build on all architectures
* move your pacakge(s) back to testing
* if you want to keep this package and can maintain it (or find somebody to
  maintain it for you) for a minimum of 6 months ask it to be moved to community
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<pre>
This moves all packages from testing to unmaintained which have not been
updated for atleast 6 months. If you are affected by this commit please follow
this proceddure:

* make sure your packages build on all architectures
* move your pacakge(s) back to testing
* if you want to keep this package and can maintain it (or find somebody to
  maintain it for you) for a minimum of 6 months ask it to be moved to community
</pre>
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</content>
</entry>
<entry>
<title>testing/pychecker: new aport</title>
<updated>2012-05-25T19:36:34+00:00</updated>
<author>
<name>Fabian Affolter</name>
<email>fabian@affolter-engineering.ch</email>
</author>
<published>2012-05-23T21:30:05+00:00</published>
<link rel='alternate' type='text/html' href='https://git-old.alpinelinux.org/aports/commit/?id=8f4729de5750a1dabf52d7bd6d7ff2fbb68f597e'/>
<id>8f4729de5750a1dabf52d7bd6d7ff2fbb68f597e</id>
<content type='text'>
PyChecker is a tool for finding bugs in python source code.
It 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 &amp; 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 not the first parameter to 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

http://pychecker.sourceforge.net/
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<pre>
PyChecker is a tool for finding bugs in python source code.
It 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 &amp; 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 not the first parameter to 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

http://pychecker.sourceforge.net/
</pre>
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