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hachoir-parser is a package of most common file format parsers written using hachoir-core. Not all parsers are complete, some are very good and other are poor: only parse first level of the tree for example. A perfect parser have no "raw" field: with a perfect parser you are able to know *each* bit meaning. Some good (but not perfect) parsers: * Matroska video * Microsoft RIFF (AVI video, WAV audio, CDA file) * PNG picture * TAR and ZIP archive

Commons Configuration provides a generic configuration interface which enables an application to read configuration data from a variety of sources. Commons Configuration provides typed access to single, and multi-valued configuration parameters. Configuration parameters may be loaded from the following sources: * Properties files * XML documents * JNDI * JDBC Datasource Different configuration sources can be mixed using a ConfigurationFactory and CompositeConfiguration. Additional sources of configuration parameters can be created by using custom configuration objects. This customization can be achieved by extending AbstractConfiguration.

FindBugs looks for bugs in Java programs. It is based on the concept of bug patterns. A bug pattern is a code idiom that is often an error. Bug patterns arise for a variety of reasons: * Difficult language features * Misunderstood API methods * Misunderstood invariants when code is modified during maintenance * Garden variety mistakes: typos, use of the wrong boolean operator FindBugs uses static analysis to inspect Java bytecode for occurrences of bug patterns.

Eric is a full featured Python and Ruby editor and IDE, written in python. It is based on the cross platform Qt gui toolkit, integrating the highly flexible Scintilla editor control. It is designed to be usable as everyday's quick and dirty editor as well as being usable as a professional project management tool integrating many advanced features Python offers the professional coder. This is a port of eric6 (based on Qt4).

QuickCheck is a library for random testing of program properties. The programmer provides a specification of the program, in the form of properties which functions should satisfy, and QuickCheck then tests that the properties hold in a large number of randomly generated cases. Specifications are expressed in Haskell, using combinators defined in the QuickCheck library. QuickCheck provides combinators to define properties, observe the distribution of test data, and define test data generators.

One of Haskell's strengths is immutable data structures. These structures make it easier to reason about code, simplify concurrency and parallelism, and in some cases can improve performance by allowing sharing. However, there are still classes of problems where mutable data structures can both be more convenient, and provide a performance boost. This library is meant to provide such structures in a performant, well tested way. It also provides a simple abstraction over such data structures via typeclasses.

XHProf is a function-level hierarchical profiler for PHP and has a simple HTML based navigational interface. The raw data collection component is implemented in C (as a PHP extension). The reporting/UI layer is all in PHP. It is capable of reporting function-level inclusive and exclusive wall times, memory usage, CPU times and number of calls for each function. Additionally, it supports ability to compare two runs (hierarchical DIFF reports), or aggregate results from multiple runs.

You have a lot of version control repositories. Sometimes you want to update them all at once. Or push out all your local changes. You use special command lines in some repositories to implement specific workflows. Myrepos provides a `mr` command, which is a tool to manage all your version control repositories. It supports git, svn, mercurial, bzr, darcs, cvs, fossil and veracity. Author: Joey Hess

This module implements the classic "Naive Bayes" machine learning algorithm. It is a well-studied probabilistic algorithm often used in automatic text categorization. Compared to other algorithms (kNN, SVM, Decision Trees), it's pretty fast and reasonably competitive in the quality of its results. A paper by Fabrizio Sebastiani provides a really good introduction to text categorization: http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf

Following the release of CPAN::Mini, the CPAN::Mini::Inject module was created to add additional distributions into a minicpan mirror. While it was created for use with a minicpan mirror, similar functionality can be reused in other situations. CPAN::Inject replicates the basics of this functionality. Specifically, it takes an arbitrary tarball and adds it to the CPAN sources directory for a particular author, and then add the new file to the CHECKSUMS file.