Free acpi reference implementation software for linux

Objective Modula-2 programming language is a hybrid between Smalltalk and Modula-2 based on the object model and runtime of Objective-C.
The design is an example how native Cocoa/GNUstep support can be added to static imperative programming languages without implementing a bridge.
Objective Modula-2s scope encompasses the design of the Objective Modula-2 programming language and the implementation of a compiler to implement it. The initial compiler will generate Objective-C source code.
Enhancements:
- This code is used to verify ideas and concepts which come up in the course of defining the language.
- It is in an early stage, incomplete and subject to frequent changes.

Suffix tree implementation library is a C library, an implementation of the suffix trees algorithm to store/retrieve key/data pairs.
The main advantages are a linear indexing time, little memory usage, and very fast retrieving.
It has been developped on FreeBSD/gcc but should be fairly portable.
The source code "testsfx.c" show an example of how to use the library both for inserting, retrieving, and deleting data. There arent many functions and comments should be enough to give you an idea of how to use the library. (read the header of the source file)
You should edit sfxdisk.h to suit your needs: you can change the alphabet size and the offset type. It should be OK to use "long long" 64 bits ints instead of long, in fact I tested it succesfully but havent gone to the point of filling more than 2 GB of data (needless to say you need a 64 bits filesystem).
Two "tools" come with the library (new with version 1.2): dumpsfx and loadsfx. dumpsfx is used to dump the database: dumpsfx [-s separator] if you want to output the result as readable text or dumpsfx < file.sfx > -h to output it for reloading with loadsfx.
dumpsfx outputs on stdout and loadsfx reads from stdin. loadsfx < suffix tree file to create > < dumped_file
Enhancements:
- removed an useless offset incrementation in STwritenode

Fast MD5 Implementation in Java is a heavily optimized implementation of the MD5 hashing algorithm written in Java.
Fast MD5 Implementation in Java includes an optional native method for even greater speed improvements.
How Fast Is It?
Short answer:Much faster than any other Java implementation that I have tested and (surprisingly) even faster than the native, non-Java MD5 implementation on some systems.
Long answer:First of all, it is important to note that the term "fast" is used here in relative terms. The implementation of the MD5 message digest algorithm available on this page is written in Java and is fast compared with other implementations written in Java, both because it is heavily optimized by itself and because there is an optional native method that makes it even faster when the platform supports it. How it compares to a sensible implementation written in a language, such as C, that is compiled directly to machine code, is heavily dependent upon how good of a job the JIT compiler in your JVM does in compiling the code or whether you are able to use the optional native method.
Enhancements:
- Martin West contributed a bug fix and some code refactoring to make all targets work out of the box in the Ant build file. Previously, the "dist" target did not work if the "docs" directory was not present.

The OpenSCADA project aims to create a full-featured and state-of-the-art SCADA (Supervisory Control and Data Acquisition) system to be used in industrial and civil engineering applications to control distributed systems from a master location.
The OpenSCADA project was started in order to create a common standard for SCADA applications. This includes specifications, interfaces and reference implementations.
Enhancements:
- This release has many new features and enhancements to existing functionality.
- The interfaces and the reference implementation were cleaned up a little bit.
- The new upstream version of Utgard was added.

Bio::LiveSeq::Translation is a translation class for LiveSeq.

This stores informations about aminoacids translations of transcripts. The implementation is that a Translation object is the translation of a Transcript object, with different possibilities of manipulation, different coordinate system and eventually its own ranges (protein domains).

APPENDIX

The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _

new

Title : new
Usage : $protein = Bio::LiveSeq::Translation->new(-transcript => $transcr);

Function: generates a new Bio::LiveSeq::Translation
Returns : reference to a new object of class Translation
Errorcode -1
Args : reference to an object of class Transcript

get_Transcript

Title : valid
Usage : $transcript = $obj->get_Transcript()
Function: retrieves the reference to the object of class Transcript (if any)
attached to a LiveSeq object
Returns : object reference
Args : none

aa_ranges

Title : aa_ranges
Usage : @proteinfeatures = $translation->aa_ranges()
Function: to retrieve all the LiveSeq AARange objects attached to a
Translation, usually created out of a SwissProt database entry
crossreferenced from an EMBL CDS feature.
Returns : an array
Args : none

XML::Mini::TreeComponent is a Perl implementation of the XML::Mini TreeComponent API.

SYNOPSIS

Dont use this class - only presents an interface for other derived classes.

This class is only to be used as a base class for others.
It presents the minimal interface we can expect from any component in the XML hierarchy.

All methods of this base class simply return NULL except a little default functionality included in the parent() method.
Warning: This class is not to be instatiated. Derive and override.

parent [NEWPARENT]

The parent() method is used to get/set the elements parent.
If the NEWPARENT parameter is passed, sets the parent to NEWPARENT (NEWPARENT must be an instance of a class derived from XML::MiniTreeComponent)

Returns a reference to the parent XML::MiniTreeComponent if set, NULL otherwise.

toString [DEPTH]

Return a stringified version of the XML representing this component and all sub-components

dump

Debugging aid, dump returns a nicely formatted dump of the current structure of the XML::Mini::TreeComponent-derived object.

The "Open Device Monitoring and Tracking Protocol", otherwise known as OpenDMTP, is a protocol and framework that allows bi-directional data communications between servers and devices (clients) over the Internet and similar networks.
OpenDMTP is a highly configurable and extensible protocol for communicating with mobile devices.
OpenDMTP is particularly geared towards Location-based information (LBS) such as GPS, as well as temperature and other data collected in remote-monitoring devices. OpenDMTP is small, and is especially suited for micro-devices such as PDAs, mobile phones, and custom OEM devices.
We saw a need for a communications protocol that allowed high-latency, low-bandwidth (HL/LB) devices to transmit location data to monitoring-systems. Because these devices often have limited network connectivity, the protocol needed to be small and efficient. Example devices include mobile phones, PDAs, OEM micro-devices (alarm systems, temperature monitors, etc.), and more.
There are many mobile GPS tracking devices on the market today with their own closed proprietary protocols. Searching the web for open protocols revealed only a few available for transferring data (including GPS information) between devices. However these solutions are generally designed for non-mobile applications and/or lack some of the low-bandwidth, configurable, and extensible features that mobile applications require.
Main features:
- Small Footprint: Mobile devices typically have limited resources on which to run client code (ie. memory, processor speed). An open protocol designed with this in mind should be optimized to allow efficient implementation and should easily support devices such as PDAs, mobile phones, GPS monitoring devices, and other OEM micro-devices.
- Network Efficient: Mobile devices typically have limited network connectivity, and in some cases data communication can be quite expensive (e.g. satellite). Because of this the protocol needs to be efficient in its dialog between the client and server. The communication needs to be optimized such that the necessary information can be conveyed with a minimum number of bytes in the least amount of time.
- Bi-directional: Some devices can support two-way communication (ie. GPRS, or other socket based connections), while others may only support one-way communication (ie. some satellite communication systems). With this in mind, a protocol should be designed to support both duplex (two-way) and simplex (one-way) communication.
- Transport Media: Differrent mobile applications will have their own unique way of communicating data back to the server. Some may use GPRS, or socket based communication, others may use satellite communication, while still others may use other forms of wireless communication, such as BlueTooth. The design of the protocol should be able to encompass all such transport media types, regardless of the type of transport in use.
- Flexible Data Encoding: Most types of transport media allow for the transmission of binary encoded data. However, there may be some forms of media for which an ASCII encoded data packet is much better suited. A protocol designed with this in mind should be able to support both types of data encoding.
- Configurable Messages: Due to the broad range of data types used in mobile applications, the protocol should be flexible enough to define standard messages, yet still allow custom messages within the framework.
- Extensible: Not every mobile application is the same. Some require special handling and may have various types of inputs and outputs. A protocol designed for mobile applications should insure that the framework can be easily extended to incapsulate the specific needs of the device.
- Industry Compatibility: Having an open protocol insures better compatibility between different client devices and service providers.
- Reference Implementation: Having a reference implementation that showcases the major features of the protocol provides an easy starting point on which developers can add their own features and platform specific implementation without having to worry about how data gets from the client to the server.
OpenDMTP was specifically designed to suit all these needs, especially "Small Footprint" and "Network Efficiency". The typical data plan for GPRS communication, for instance, is usually 1Mb per month. OpenDMTP was designed to optimize packet encoding to allow the collection of GPS information packets once every 3 minutes, 24 hours a day, 30 days a month, and still stay under the 1Mb data plan limit.
While XML is very extensible, it fails the "Small Footprint" and "Network Efficiency" requirements. Thus, it was discounted as a viable protocol solution. Many mobile devices do not have the resources necessary to be able to provide full XML parsing functionality. And an XML packet may need to be several hundred bytes in length just to send a few bytes of actual data. This alone would make the solution cost prohibitive for high-cost transport media such as satellite.
OpenDMTP also includes a full-featured commercial quality reference implementation to jump-start development.
Enhancements:
- NEW: Minor optimizations made to message logging.
- FIX: Log file now properly displays account/device on client connection.

libGarbageCollector is an incremental garbage collector with a tri-color, Baker treadmill, write-barrier implementation.

libGarbageCollector is built from the garbage collector code used in the Io programming language project.