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TimoCloud is a Minecraft server/proxy management system ("Cloud System"). It will care about keeping online enough servers/proxies of every kind. But it's more than that. Thank to its algorithms, you'll never have to care again about servers or resources. TimoCloud automatically chooses servers with low CPU usage and enough available RAM to start your instances. And its integrated Flow-System makes updating templates easier than ever before: Edit one file in a server template, and the update will automatically be deployed to all bases (a.k.a. "Wrapper"). But of course, only the changed files will get updated.

<p>Sometimes while programming in NetBeans you want to explore a particular file that you are editing on the file system browser, or maybe launch a command in a terminal to do something with it.</p> <p>This plugins brings to your NetBeans six action, three of them always available and three of them available when the selected node has a file assiociated with it.<br/> In particular:<p><p><em>When the selection has a valid file</em></p> <ul> <li><strong>Open the default OS shell</strong> on the location of the file (or its folder) selected.</li> <li><strong>Open the file system browser</strong> on the location of the file (or its folder) selected.</li> <li><strong>Copy to the clipboard</strong> the path of the file selected.</li> </ul> <p><em>Always enabled:</em></p> <ul> <li><strong>Launch a shell command</strong> (with parameters, customizable on preferences)</li> <li><strong>FileSystem browser on any location</strong> (favorites, customizable on preferences)</li> <li><strong>Open a shell on any location</strong> (favorites, customizable on preferences)</li> </ul>

This Lutra submodule provides a common framework that other submodules in Lutra use and extend. It includes an implementation of OTTR's data model with classes for templates, instances, types, etc.; a system for handling results and error messages; core interfaces and abstract classes for streamed pipelines for parsing and writing templates and instances; as well as implementation of the TemplateStore, a container for templates, with algorithms for checking correctness of templates and expanding and checking correctness of instances. Lutra is the reference implementation of the OTTR framework. For more information about OTTR, see http://ottr.xyz.

The Limbus System is a small light-weight CDI framework managing the Limbus Core Components. The object graph is represented by an XML configuration file or can be build using the Limbus System API. This module delivers an optional system component that visualizes the object graph and its dependencies after initializing: com.remondis.limbus.system.visualize.LimbusSystemVisualizer This component can be added to the Limbus System. To keep the dependencies of this module transparent and light-weight, the graph renderer is declared as an optional dependency. Add the following dependencies to your project to use the visualisation component: <!-- Graph Stream for Visualization feature This is an optional dependency and only required if using the com.remondis.limbus.system.visualize.LimbusSystemVisualizer --> <dependency> <groupId>org.graphstream</groupId> <artifactId>gs-core</artifactId> <version>1.3</version> </dependency> <dependency> <groupId>org.graphstream</groupId> <artifactId>gs-ui</artifactId> <version>1.3</version> </dependency>

# heatshrink-java Java library used to encode/decode [heatshrink](https://github.com/atomicobject/heatshrink) compressed data. ## Building ```bash ./gradlew build ``` ## Gradle dependency See https://search.maven.org/artifact/io.github.markrileybot/heatshrink-java/ ## Usage ### Java library ```java int windowSize = 9; int lookaheadSize = 8; ByteArrayOutputStream baos = new ByteArrayOutputStream(); try(HsOutputStream out = new HsOutputStream(baos, windowSize, lookaheadSize)) { out.write("ABCABCABCABCABCABC".getBytes()); } try(HsInputStream hsi = new HsInputStream(new ByteArrayInutStream(baos.toByteArray()), windowSize, lookaheadSize)) { byte[] res = new byte[512]; int len = hsi.read(res); System.out.println(new String(res, 0, len)); } ``` ### CLI ```bash $ java -jar heatshrink-java-exe.jar [-h] [-e|-d] [-v] [-w SIZE] [-l BITS] [IN_FILE] [OUT_FILE] ``` ## Status [](https://github.com/markrileybot/heatshrink-java/actions/workflows/gradle-publish.yml) [](https://coveralls.io/github/markrileybot/heatshrink-java?branch=master) [](https://maven-badges.herokuapp.com/maven-central/io.github.markrileybot/geokey)

A cluster computing system for processing large-scale spatial data: Python Adapter. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

A cluster computing system for processing large-scale spatial data: RDD and SQL for Viz. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

A cluster computing system for processing large-scale spatial data: SQL API. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

A cluster computing system for processing large-scale spatial data: RDD API. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.