Download Java Runtime Environment -JRE

Ensure that java is on your $PATH, or set the JAVA_HOME environmentvariable to point to a directory of a Java Development Kit (JDK).Create a Python 3 virtual environment, and ensure that pip & setuptools areup to date:

download Java Runtime Environment -JRE

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• On Thursday the 9th, the bug tracker will be unavailable from 11am CET for approximately 5 to 7 hours as we upgrade the bug tracker software. Please check @MojangStatus on twitter for status updates.-->AJS.keys["shortcuts"].push( "moduleKey": "mojang.custom.triage", "keys": [["r"]], "context": "issueaction", "op": "click", "param": "#action_id_801"); (function(executionIdx) const template = document.getElementById("head-content-tmp-" + executionIdx); const nodes = document.adoptNode(template.content); // browsers can set 'async=true' flag for script tags, we need to fix that Array.from(nodes.children).filter(node => node.nodeName === 'SCRIPT').forEach(node => node.async = false); document.head.appendChild(nodes); template.remove(); ) (0);document.title = "[MCL-21454] Launching 22w19a and above gives the error message: \"Failed to download file. Java runtime manifest is missing the desired component for this platform\" - Jira"; document.getElementById("open-search-description-link").setAttribute("title", "[MCL-21454] Launching 22w19a and above gives the error message: \"Failed to download file. Java runtime manifest is missing the desired component for this platform\" - Jira");document.body.setAttribute("data-version","9.2.0"); (function() isSidebarCollapsed()) document.body.classList.add('aui-sidebar-collapsed'); document.querySelector('.sidebar-placeholder').setAttribute('aria-expanded', false); document.getElementById('projects-sidebar-init').remove(); ()) Minecraft Launcher

• MCL-21454

Launching 22w19a and above gives the error message: "Failed to download file. Java runtime manifest is missing the desired component for this platform"Log InResolved ExportnullXMLWordPrintableDetails Type: Bug Resolution: Fixed Fix Version/s: 2.3.200 (New Windows App) Affects Version/s: 2.3.173 (New Windows App), 2.3.173 (Windows), 2.3.173 (Linux), 2.3.200 (Windows) Component/s: Java Edition Versions Labels: None Confirmation Status: Confirmed ADO: 786398 Description When attempting to launch 22w19a and 22w18a from the microsoft launcher I get the following error message: "Failed to download file. Error details: Java runtime manifest is missing the desired component for this platform." The error only occurs when trying to launch the following snapshots: 22w19a and 22w18a. The error does not occur when launching older snapshots, i.e. 22w17a, or "latest version" 1.18.2. I have already tried reinstalling Minecraft, the launcher, and Java. I also made sure to update my GPU to the latest driver. I verified that all the download paths and launch options are set to default.

Visit the www.java.com main site, choose to download java ... and chose the i586 package. You can keep the 64-bit package because it is not installed at the same location than the 32-bit (i586) package.

If it's not already installed on your system, you can download the JDK from Sun's Web site. You will need to have installed the JDK version 5 (note the distinction on the download pages between a Java Runtime Environment, which just contains the tools needed to run Java programs, and a Java Development Kit, which contains a compiler and other tools, in addition to the runtime application). You may also want to install JDK version 6. The DrJava sources depend on Java 5 (but not 6) language features and APIs. (Note: theoretically, any Java 5 compiler should be able to handle the DrJava sources. However, there are currently some dependencies on Sun's tools in the main DrJava code module, so you will need to have those tools available.)

The critical thing is that you need a 64 bit version of java installed. And by version, I mean runtime, you do not need a development kit. The difference is a runtime runs java programs, and the development kit allows you to build java programs.

The CHEMFLO application requires the Java 1.3.1 (or later) runtime environment. If that software is already loaded your computer, proceed with step 2. If it is not loaded, download a copy of the runtime environment ORACLE, Sun Developer Network (SDN), Java SE at a Glance . This is a compressed executable file. After downloading it and saving it in a temporary directory, install it on the computer by running the program. It is suggested that you accept the default values presented by the installation software.

For production usage or non-changing environments, we recommend installing your dependencies into a container image and specifying the image using the Cluster Launcher.For dynamic environments (e.g. for development and experimentation), we recommend using runtime environments.

A runtime environment describes the dependencies your Ray application needs to run, including files, packages, environment variables, and more.It is installed dynamically on the cluster at runtime and cached for future use (see Caching and Garbage Collection for details about the lifecycle).

Runtime environments can be used on top of the prepared environment from the Ray Cluster launcher if it was used.For example, you can use the Cluster launcher to install a base set of packages, and then use runtime environments to install additional packages.

Ray does not guarantee compatibility between tasks and actors with conflicting runtime environments.For example, if an actor whose runtime environment contains a pip package tries to communicate with an actor with a different version of that package, it can lead to unexpected behavior such as unpickling errors.

The ray[default] package itself will automatically be installed in the environment. For the conda field only, if you are using any other Ray libraries (for example, Ray Serve), then you will need to specify the library in the runtime environment (e.g. runtime_env = "conda": "dependencies": ["pytorch", "pip", "pip": ["requests", "ray[serve]"]].)

config (dict ray.runtime_env.RuntimeEnvConfig): config for runtime environment. Either a dict or a RuntimeEnvConfig.Fields:(1) setup_timeout_seconds, the timeout of runtime environment creation, timeout is in seconds.

(2) eager_install (bool): Indicates whether to install the runtime environment on the cluster at ray.init() time, before the workers are leased. This flag is set to True by default.If set to False, the runtime environment will be only installed when the first task is invoked or when the first actor is created.Currently, specifying this option per-actor or per-task is not supported.

Runtime environment resources on each node (such as conda environments, pip packages, or downloaded working_dir or py_modules directories) will be cached on the cluster to enable quick reuse across different runtime environments within a job. Each field (working_dir, py_modules, etc.) has its own cache whose size defaults to 10 GB. To change this default, you may set the environment variable RAY_RUNTIME_ENV__CACHE_SIZE_GB on each node in your cluster before starting Ray e.g. export RAY_RUNTIME_ENV_WORKING_DIR_CACHE_SIZE_GB=1.5.

If a runtime environment is specified in ray.init(runtime_env=...), then the environment will be installed on every node. See Per-Job for more details.(Note, by default the runtime environment will be installed eagerly on every node in the cluster. If you want to lazily install the runtime environment on demand, set the eager_install option to false: ray.init(runtime_env=..., "config": "eager_install": False.)

On the other hand, loading a runtime environment from the cache should be nearly as fast as the ordinary Ray worker startup time, which is on the order of a few seconds. A new Ray worker is started for every Ray actor or task that requires a new runtime environment.(Note that loading a cached conda environment could still be slow, since the conda activate command sometimes takes a few seconds.)

They can be used independently or together.A container image can be specified in the Cluster Launcher for large or static dependencies, and runtime environments can be specified per-job or per-task/actor for more dynamic use cases.The runtime environment will inherit packages, files, and environment variables from the container image.

You can store your dependencies in repositories on a remote Git provider (e.g. GitHub, Bitbucket, GitLab, etc.), and you can periodically push changes to keep them updated.In this section, you will learn how to store a dependency on GitHub and use it in your runtime environment.

If runtime_env cannot be set up (e.g., network issues, download failures, etc.), Ray will fail to schedule tasks/actorsthat require the runtime_env. If you call ray.get, it will raise RuntimeEnvSetupError withthe error message in detail.

Full logs can always be found in the file runtime_env_setup-[job_id].log for per-actor, per-task and per-job environments, or inruntime_env_setup-ray_client_server_[port].log for per-job environments when using Ray Client. 2ff7e9595c