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This module provides some testing methods for LDAP operations, such as search, add, and modify, where each method is suffixed with either _ok or _is. Test::Net::LDAP is a subclass of Net::LDAP, so all the methods defined for Net::LDAP are available in addition to search_ok, add_is, etc.

Thread::Pool::Simple provides a simple thread-pool implementation without external dependencies outside core modules. Jobs can be submitted to and handled by multi-threaded `workers' managed by the pool.

A mapped queue, similar to Thread::Queue, except that as elements are queued, they are assigned unique identifiers, which are used to identify responses returned from the dequeuing thread. This class provides a simple RPC-like mechanism between multiple client and server threads, so that a single server thread can safely multiplex requests from multiple client threads. Note that simplex versions of the enqueue methods are provided which do not assign unique identifiers, and are used for requests to which no response is required/expected. In addition, elements are inspected as they are enqueued/dequeued to determine if they are Thread::Queue::Queueable (aka TQQ) objects, and, if so, the onEnqueue() or onDequeue() methods are called to permit any additional class-specific marshalling/unmarshalling to be performed. Thread::Queue::Duplex (aka TQD) is itself a Thread::Queue::Queueable object, thus permitting TQD objects to be passed between threads.

A Perl mock RabbitMQ implementation for use when testing.

Test::NoTabs scans your project/distribution for any perl files (scripts, modules, etc) for the presence of tabs.

This module adds suspend and resume operations for threads. Suspensions are cumulative, and need to be matched by an equal number of resume calls.

This package provides some low-level utilities to use for package development. It currently provides managers for multiple package specific options and registries, vignette, unit test and bibtex related utilities. It serves as a base package for packages like NMF, RcppOctave, doRNG, and as an incubator package for other general purposes utilities, that will eventually be packaged separately. It is still under heavy development and changes in the interface(s) are more than likely to happen.

plyr is a set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each pieces and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of plyr has been generously supported by BD (Becton Dickinson).

Breiman and Cutler's random forests for classification and regression

Reshape (hopefully) makes it easy to do what you have been struggling to do with tapply, by, aggregate, xtabs, apply and summarise. It is also useful for getting your data into the correct structure for lattice or ggplot plots.