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DBD::SQLite =========== SQLite is a small fast embedded SQL database engine. DBD::SQLite embeds that database engine into a DBD driver, so if you want a relational database for your project, but don't want to install a large RDBMS system like MySQL or PostgreSQL, then DBD::SQLite may be just what you need. It supports quite a lot of features, such as transactions (atomic commit and rollback), indexes, DBA-free operation, a large subset of SQL92 supported, and more.

DBD::SQLite2 ============ SQLite is a small fast embedded SQL database engine. DBD::SQLite2 embeds that database engine into a DBD driver, so if you want a relational database for your project, but don't want to install a large RDBMS system like MySQL or PostgreSQL, then DBD::SQLite2 may be just what you need. It supports quite a lot of features, such as transactions (atomic commit and rollback), indexes, DBA-free operation, a large subset of SQL92 supported, and more.

Ding-libs provides utility functions to manipulate filesystem pathnames (libpath_utils), a hash table which dynamically resizes to achieve optimal storage and access time properties (libdhash), a data type to collect data in a hierarchical structure for easy iteration and serialization (libcollection), a dynamically growing, reference-counted array (libref_array), and a library to process configuration files in initialization format (INI) into a library collection data structure (libini_config).

This module is a subclass of Test::Harness::Straps. It uses callbacks in the straps object to construct a deep structure, with all the data known about a test run accessible within. It's purpose is to ease the processing of test data, for the purpose of generating reports, or something like that. The niche it fills is creating a way to access test run data, both from a serialized and a real source, and to ease the querying of this data.

Intel Threading Building Blocks (TBB) offers a rich and complete approach to expressing parallelism in a C++ program. It is a library that helps you take advantage of multi-core processor performance without having to be a threading expert. Threading Building Blocks is not just a threads-replacement library. It represents a higher-level, task-based parallelism that abstracts platform details and threading mechanism for performance and scalability.

Schemas extend the notion of interfaces to detailed descriptions of Attributes (but not methods). Every schema is an interface and specifies the public fields of an object. A field roughly corresponds to an attribute of a Python object. But a Field provides space for at least a title and a description. It can also constrain its value and provide a validation method. Besides you can optionally specify characteristics such as its value being read-only or not required.

GNU Ocrad is an OCR (Optical Character Recognition) program implemented as a filter and based on a feature extraction method. It reads a bitmap image in pbm format and outputs text in ISO-8859-1 (Latin-1) charset. Also includes a layout analyser able to separate the columns or blocks of text normally found on printed pages. It can be used as a stand-alone console application, or as a backend to other programs.

This is a port of Emmanuel Dreyfus' milter-greylist. Grey listing is a wonderful spam filtering technique, which uses a behavior trick: spammers never resend a message when they get a temporary error, whereas real MTA do. The idea is to refuse any mail on first attempt, and accept it after some time has elapsed. milter-greylist is a stand-alone milter written in C that implement grey listing.

This is a port of Emmanuel Dreyfus' milter-greylist. Grey listing is a wonderful spam filtering technique, which uses a behavior trick: spammers never resend a message when they get a temporary error, whereas real MTA do. The idea is to refuse any mail on first attempt, and accept it after some time has elapsed. milter-greylist is a stand-alone milter written in C that implement grey listing.

PicoSAT is a satisfiability (SAT) solver for boolean variables in boolean expressions. A SAT solver can determine if it is possible to find assignments to boolean variables that would make a given set of expressions true. If it's satisfiable, it can also show a set of assignments that make the expression true. Many problems can be broken down into a large SAT problem (perhaps with thousands of variables), so SAT solvers have a variety of uses.