1. Groovy Kitchen Mac Os Download
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1. Overview

Source /.bashprofile groovy -v 显示结果为： Groovy Version: 2.4.4 JVM: 1.8.045 Vendor: Oracle Corporation OS: Mac OS X. Vim hello.groovy 输入. Println 'Hello Groovy' 保存后用groovy命令运行. Groovy hello.groovy 输出结果为： Hello Groovy. Download Research Kitchen RoboMind for Mac Free. It is full Latest Version setup of Research Kitchen RoboMind Premium Pro DMG for Apple Macbook OS X. Brief Overview of Research Kitchen RoboMind for Mac OS X. Research Kitchen RoboMind for Mac is a very handy and imposing application which is used for educational and teaching purposes. I believe this is because the default Mac OS file system supports mixed case filenames but file name searches are case insensitive. It appears that groovy searches the FS for a class that matches the token to determine if it is a class. With the purpose of running the beloved Apple Mac OS X on our Intel ASUS laptop I am writing this guide to share my experience and knowledge about this Hackintosh. This tutorial applies to running versions between 10.9 and 10.11.6, focusing specially in El Capitan. I wanted to share a page that has recipes that caught my eye!

In this tutorial, we'll take a look at Spock extensions.

Sometimes, we might need to modify or enhance our spec's lifecycle. For example, we'd like to add some conditional execution, retry on randomly failing integration test, and more. For this, we can use Spock's extension mechanism.

Spock has a wide range of various extensions that we can hook onto a specification's lifecycle.

Let's discover how to use the most common extensions.

2. Maven Dependencies

Before we start, let's set up our Maven dependencies:

3. Annotation-Based Extensions

Most of Spock‘s built-in extensions are based on annotations.

We can add annotations on a spec class or feature to trigger a specific behavior.

3.1. @Ignore

Sometimes we need to ignore some feature methods or spec classes. Like, we might need to merge our changes as soon as possible, but continuous integration still fails. We can ignore some specs and still make a successful merge.

We can use @Ignore on a method level to skip a single specification method:

Spock won't execute this test method. And most IDEs will mark the test as skipped.

Additionally, we can use @Ignore on the class level:

We can simply provide a reason why our test suite or method is ignored:

3.2. @IgnoreRest

Likewise, we can ignore all specifications except one, which we can mark with a @IgnoreRest annotation:

3.3. @IgnoreIf

Sometimes, we'd like to conditionally ignore a test or two. In that case, we can use @IgnoreIf, which accepts a predicate as an argument:

Spock provides the set of properties and helper classes, to make our predicates easier to read and write:

• os – Information about the operating system (see spock.util.environment.OperatingSystem).
• jvm – the JVM's information (see spock.util.environment.Jvm).
• sys – System's properties in a map.
• env – Environment variables in a map.

We can re-write the previous example throughout the use of os property. Actually, it's the spock.util.environment.OperatingSystem class with some useful methods, like for example isWindows():

Note, that Spock uses System.getProperty(…) underhood. The main goal is to provide a clear interface, rather than defining complicated rules and conditions.

Also, as in the previous examples, we can apply the @IgnoreIf annotation at the class level.

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3.4. @Requires

Sometimes, it's easier to invert our predicate logic from @IgnoreIf. In that case, we can use @Requires:

So, while the @Requires makes this test run only if the OS is Windows, the @IgnoreIf, using the same predicate, makes the test run only if the OS is not Windows.

In general,it's much better to say under which condition the test will execute, rather than when it gets ignored.

3.5. @PendingFeature

In TDD, we write tests first. Then, we need to write a code to make these tests pass. In some cases, we will need to commit our tests before the feature is implemented.

This is a good use case for @PendingFeature:

There is one main difference between @Ignore and @PendingFeature. In @PedingFeature, tests are executed, but any failures are ignored.

If a test marked with @PendingFeature ends without error, then it will be reported as a failure, to remind about removing annotation.

In this way, we can initially ignore fails of not implemented features, but in the future, these specs will become a part of normal tests, instead of being ignored forever.

3.6. @Stepwise

We can execute a spec's methods in a given order with the @Stepwise annotation:

In general, tests should be deterministic. One should not depend on another. That's why we should avoid using @Stepwise annotation.

But if we have to, we need to be aware that @Stepwise doesn't override the behavior of @Ignore, @IgnoreRest, or @IgnoreIf. We should be careful with combining these annotations with @Stepwise.

3.7. @Timeout

We can limit the execution time of a spec's single method and fail earlier:

Note, that this is the timeout for a single iteration, not counting the time spent in fixture methods.

By default, the spock.lang.Timeout uses seconds as a base time unit. But, we can specify other time units:

@Timeout on the class level has the same effect as applying it to every feature method separately:

Using @Timeout on a single spec method always overrides class level.

3.8. @Retry

Sometimes, we can have some non-deterministic integration tests. These may fail in some runs for reasons such as async processing or depending on other HTTP clients response. Moreover, the remote server with build and CI will fail and force us to run the tests and build again.

To avoid this situation, we can use @Retry annotation on a method or class level, to repeat failed tests:

By default, it will retry three times.

It's very useful to determine the conditions, under which we should retry our test. We can specify the list of exceptions:

Or when there is a specific exception message:

Very useful is a retry with a delay:

And finally, like almost always, we can specify retry on the class level:

3.9. @RestoreSystemProperties

We can manipulate environment variables with @RestoreSystemProperties.

This annotation, when applied, saves the current state of variables and restores them afterward. It also includes setup or cleanup methods:

Please note that we shouldn't run the tests concurrently when we're manipulating the system properties. Our tests might be non-deterministic.

3.10. Human-Friendly Titles

We can add a human-friendly test title by using the @Title annotation:

Similarly, we can add a description of the spec with @Narrative annotation and with a multi-line Groovy String:

3.11. @See

To link one or more external references, we can use the @See annotation:

To pass more than one link, we can use the Groovy [] operand for creating a list:

3.12. @Issue

We can denote that a feature method refers to an issue or multiple issues:

3.13. @Subject

And finally, we can indicate which class is the class under test with @Subject:

Right now, it's only for informational purposes.

4. Configuring Extensions

We can configure some of the extensions in the Spock configuration file. This includes describing how each extension should behave.

Usually, we create a configuration file in Groovy, called, for example, SpockConfig.groovy.

Of course, Spock needs to find our config file. First of all, it reads a custom location from the spock.configuration system property and then tries to find the file in the classpath. When not found, it goes to a location in the file system. If it's still not found, then it looks for SpockConfig.groovy in the test execution classpath.

Eventually, Spock goes to a Spock user home, which is just a directory .spock within our home directory. We can change this directory by setting system property called spock.user.home or by an environment variable SPOCK_USER_HOME.

For our examples, we'll create a file SpockConfig.groovy and put it on the classpath (src/test/resources/SpockConfig.Groovy).

4.1. Filtering the Stack Trace

By using a configuration file, we can filter (or not) the stack traces:

The default value is true.

To see how it works and practice, let's create a simple test which throws a RuntimeException:

When filterStackTrace is set to false, then we'll see in the output:

By setting this property to true, we'll get:

Although keep in mind, sometimes it's useful to see the full stack trace.

4.2. Conditional Features in Spock Configuration File

Sometimes, we might need to filter stack traces conditionally. For example, we'll need to see full stack traces in a Continuous Integration tool, but this isn't necessary on our local machine.

We can add a simple condition, based for example on the environment variables:

The Spock configuration file is a Groovy file, so it can contain snippets of Groovy code.

4.3. Prefix and URL in @Issue

Previously, we talked about the @Issue annotation. We can also configure this using the configuration file, by defining a common URL part with issueUrlPrefix.

The other property is issueNamePrefix. Then, every @Issue value is preceded by the issueNamePrefix property.

We need to add these two properties in the report:

4.4. Optimize Run Order

The other very helpful tool is optimizeRunOrder. Spock can remember which specs failed and how often and how much time it needs to execute a feature method.

Based on this knowledge, Spock will first run the features which failed in the last run. In the first place, it will execute the specs which failed more successively. Furthermore, the fastest specs will run first.

This behavior may be enabled in theconfiguration file. To enable optimizer, we use optimizeRunOrder property:

By default, the optimizer for run order is disabled.

4.5. Including and Excluding Specifications

Spock can exclude or include certain specs. We can lean on classes, super-classes, interfaces or annotations, which are applied on specification classes. The library can be of capable excluding or including single features, based on the annotation on a feature level.

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We can simply exclude a test suite from class TimeoutTest by using the exclude property:

TimeoutTest and all its subclasses will be excluded. If TimeoutTest was an annotation applied on a spec's class, then this spec would be excluded.

We can specify annotations and base classes separately:

The above example will exclude test classes or methods with the @Issue annotation as well as TimeoutTest or any of its subclasses.

To include any spec, we simply use include property. We can define the rules of include in the same way as exclude.

4.6. Creating a Report

Based on the test results and previously known annotations, we can generate a report with Spock. Additionally, this report will contain things like @Title, @See, @Issue, and @Narrative values.

We can enable generating a report in the configuration file. By default, it won't generate the report.

All we have to do is pass values for a few properties:

The properties above are:

• enabled – should or not generate the report
• logFileDir – directory of report
• logFileName – the name of the report
• logFileSuffix – a suffix for every generated report basename separated with a dash

When we set enabled to true, then it's mandatory to set logFileDir and logFileName properties. The logFileSuffix is optional.

We can also set all of them in system properties: enabled, spock.logFileDir, spock.logFileName and spock.logFileSuffix.

5. Conclusion

In this article, we described the most common Spock extensions.

We know that most of them are based on annotations. In addition, we learned how to create a Spock configuration file, and what the available configuration options are. In short, our newly acquired knowledge is very helpful for writing effective and easy to read tests.

The implementation of all our examples can be found in our Github project.

Estimated reading time: 15 minutes

Welcome to Docker Desktop! The Docker Desktop for Mac user manual provides information on how to configure and manage your Docker Desktop settings.

For information about Docker Desktop download, system requirements, and installation instructions, see Install Docker Desktop.

Preferences

The Docker Preferences menu allows you to configure your Docker settings such as installation, updates, version channels, Docker Hub login,and more.

Choose the Docker menu > Preferences from themenu bar and configure the runtime options described below.

General

On the General tab, you can configure when to start and update Docker:

• Automatically check for updates: By default, Docker Desktop is configured to check for newer versions automatically. If you have installed Docker Desktop as part of an organization, you may not be able to update Docker Desktop yourself. In that case, upgrade your existing organization to a Team plan and clear this checkbox to disable the automatic check for updates.

• Start Docker Desktop when you log in: Automatically starts Docker Desktop when you open your session.

• Include VM in Time Machine backups: Select this option to back up the Docker Desktop virtual machine. This option is disabled by default.

• Use gRPC FUSE for file sharing: Clear this checkbox to use the legacy osxfs file sharing instead.

• Send usage statistics: Docker Desktop sends diagnostics, crash reports, and usage data. This information helps Docker improve and troubleshoot the application. Clear the check box to opt out.

• Show weekly tips: Displays useful advice and suggestions about using Docker.

• Open Docker Desktop dashboard at startup: Automatically opens the dashboard when starting Docker Desktop.

Resources

The Resources tab allows you to configure CPU, memory, disk, proxies, network, and other resources.

Advanced

On the Advanced tab, you can limit resources available to Docker.

Advanced settings are:

• CPUs: By default, Docker Desktop is set to use half the number of processorsavailable on the host machine. To increase processing power, set this to ahigher number; to decrease, lower the number.

• Memory: By default, Docker Desktop is set to use 2 GB runtime memory,allocated from the total available memory on your Mac. To increase the RAM, set this to a higher number. To decrease it, lower the number.

• Swap: Configure swap file size as needed. The default is 1 GB.

• Disk image size: Specify the size of the disk image.

• Disk image location: Specify the location of the Linux volume where containers and images are stored.

You can also move the disk image to a different location. If you attempt to move a disk image to a location that already has one, you get a prompt asking if you want to use the existing image or replace it.

File sharing

Use File sharing to allow local directories on the Mac to be shared with Linux containers.This is especially useful forediting source code in an IDE on the host while running and testing the code in a container.By default the /Users, /Volume, /private, /tmp and /var/folders directory are shared. If your project is outside this directory then it must be addedto the list. Otherwise you may get Mounts denied or cannot start service errors at runtime.

File share settings are:

• Add a Directory: Click + and navigate to the directory you want to add.

• Apply & Restart makes the directory available to containers using Docker’sbind mount (-v) feature.

Tips on shared folders, permissions, and volume mounts

• Share only the directories that you need with the container. File sharing introduces overhead as any changes to the files on the host need to be notified to the Linux VM. Sharing too many files can lead to high CPU load and slow filesystem performance.

• Shared folders are designed to allow application code to be edited on the host while being executed in containers. For non-code items such as cache directories or databases, the performance will be much better if they are stored in the Linux VM, using a data volume (named volume) or data container.

• If you share the whole of your home directory into a container, MacOS may prompt you to give Docker access to personal areas of your home directory such as your Reminders or Downloads.

• By default, Mac file systems are case-insensitive while Linux is case-sensitive. On Linux, it is possible to create 2 separate files: test and Test, while on Mac these filenames would actually refer to the same underlying file. This can lead to problems where an app works correctly on a Mac (where the file contents are shared) but fails when run in Linux in production (where the file contents are distinct). To avoid this, Docker Desktop insists that all shared files are accessed as their original case. Therefore, if a file is created called test, it must be opened as test. Attempts to open Test will fail with the error No such file or directory. Similarly, once a file called test is created, attempts to create a second file called Test will fail. For more information, see Volume mounting requires file sharing for any project directories outside of /Users.)

Proxies

Docker Desktop detects HTTP/HTTPS Proxy Settings from macOS and automaticallypropagates these to Docker. For example, if you set yourproxy settings to http://proxy.example.com, Docker uses this proxy whenpulling containers.

Your proxy settings, however, will not be propagated into the containers you start.If you wish to set the proxy settings for your containers, you need to defineenvironment variables for them, just like you would do on Linux, for example:

For more information on setting environment variables for running containers,see Set environment variables.

Network

You can configure Docker Desktop networking to work on a virtual private network (VPN). Specify a network address translation (NAT) prefix and subnet mask to enable Internet connectivity.

Docker Engine

The Docker Engine page allows you to configure the Docker daemon to determine how your containers run.

Type a JSON configuration file in the box to configure the daemon settings. For a full list of options, see the Docker Enginedockerd commandline reference.

Click Apply & Restart to save your settings and restart Docker Desktop.

Command Line

On the Command Line page, you can specify whether or not to enable experimental features.

Experimental features provide early access to future product functionality.These features are intended for testing and feedback only as they may changebetween releases without warning or can be removed entirely from a futurerelease. Experimental features must not be used in production environments.Docker does not offer support for experimental features.

For a list of current experimental features in the Docker CLI, see Docker CLI Experimental features.

You can toggle the experimental features on and off in Docker Desktop. If you toggle the experimental features off, Docker Desktop uses the current generally available release of Docker Engine.

You can see whether you are running experimental mode at the command line. IfExperimental is true, then Docker is running in experimental mode, as shownhere. (If false, Experimental mode is off.)

Kubernetes

Docker Desktop includes a standalone Kubernetes server that runs on your Mac, sothat you can test deploying your Docker workloads on Kubernetes. To enable Kubernetes support and install a standalone instance of Kubernetes running as a Docker container, select Enable Kubernetes.

For more information about using the Kubernetes integration with Docker Desktop, see Deploy on Kubernetes.

Reset

Reset and Restart options

On Docker Desktop Mac, the Restart Docker Desktop, Reset to factory defaults, and other reset options are available from the Troubleshoot menu.

For information about the reset options, see Logs and Troubleshooting.

Dashboard

The Docker Desktop Dashboard enables you to interact with containers and applications and manage the lifecycle of your applications directly from your machine. The Dashboard UI shows all running, stopped, and started containers with their state. It provides an intuitive interface to perform common actions to inspect and manage containers and existing Docker Compose applications. For more information, see Docker Desktop Dashboard.

Add TLS certificates

You can add trusted Certificate Authorities (CAs) (used to verify registryserver certificates) and client certificates (used to authenticate toregistries) to your Docker daemon.

Add custom CA certificates (server side)

All trusted CAs (root or intermediate) are supported. Docker Desktop creates acertificate bundle of all user-trusted CAs based on the Mac Keychain, andappends it to Moby trusted certificates. So if an enterprise SSL certificate istrusted by the user on the host, it is trusted by Docker Desktop.

To manually add a custom, self-signed certificate, start by adding thecertificate to the macOS keychain, which is picked up by Docker Desktop. Here isan example:

Or, if you prefer to add the certificate to your own local keychain only (ratherthan for all users), run this command instead:

See also, Directory structures forcertificates.

Note: You need to restart Docker Desktop after making any changes to thekeychain or to the ~/.docker/certs.d directory in order for the changes totake effect.

For a complete explanation of how to do this, see the blog post AddingSelf-signed Registry Certs to Docker & Docker Desktop forMac.

Add client certificates

You can put your client certificates in~/.docker/certs.d/<MyRegistry>:<Port>/client.cert and~/.docker/certs.d/<MyRegistry>:<Port>/client.key.

When the Docker Desktop application starts, it copies the ~/.docker/certs.dfolder on your Mac to the /etc/docker/certs.d directory on Moby (the DockerDesktop xhyve virtual machine).

• You need to restart Docker Desktop after making any changes to the keychainor to the ~/.docker/certs.d directory in order for the changes to takeeffect.

• The registry cannot be listed as an insecure registry (see DockerEngine. Docker Desktop ignores certificates listedunder insecure registries, and does not send client certificates. Commandslike docker run that attempt to pull from the registry produce errormessages on the command line, as well as on the registry.

Directory structures for certificates

If you have this directory structure, you do not need to manually add the CAcertificate to your Mac OS system login:

The following further illustrates and explains a configuration with customcertificates:

You can also have this directory structure, as long as the CA certificate isalso in your keychain.

To learn more about how to install a CA root certificate for the registry andhow to set the client TLS certificate for verification, seeVerify repository client with certificatesin the Docker Engine topics.

Install shell completion

Docker Desktop comes with scripts to enable completion for the docker and docker-compose commands. The completion scripts may befound inside Docker.app, in the Contents/Resources/etc/ directory and can beinstalled both in Bash and Zsh.

Bash

Bash has built-in support forcompletion To activate completion for Docker commands, these files need to becopied or symlinked to your bash_completion.d/ directory. For example, if youinstalled bash via Homebrew:

Add the following to your ~/.bash_profile:

OR

Zsh

In Zsh, the completionsystemtakes care of things. To activate completion for Docker commands,these files need to be copied or symlinked to your Zsh site-functions/directory. For example, if you installed Zsh via Homebrew:

Fish-Shell

Fish-shell also supports tab completion completionsystem. To activate completion for Docker commands,these files need to be copied or symlinked to your Fish-shell completions/directory.

Create the completions directory:

Now add fish completions from docker.

Give feedback and get help

To get help from the community, review current user topics, join or start adiscussion, log on to our Docker Desktop for Macforum.

To report bugs or problems, log on to Docker Desktop for Mac issues onGitHub,where you can review community reported issues, and file new ones. SeeLogs and Troubleshooting for more details.

For information about providing feedback on the documentation or update it yourself, see Contribute to documentation.

Docker Hub

Select Sign in /Create Docker ID from the Docker Desktop menu to access your Docker Hub account. Once logged in, you can access your Docker Hub repositories and organizations directly from the Docker Desktop menu.

For more information, refer to the following Docker Hub topics:

Two-factor authentication

Docker Desktop enables you to sign into Docker Hub using two-factor authentication. Two-factor authentication provides an extra layer of security when accessing your Docker Hub account.

You must enable two-factor authentication in Docker Hub before signing into your Docker Hub account through Docker Desktop. For instructions, see Enable two-factor authentication for Docker Hub.

After you have enabled two-factor authentication:

1. Go to the Docker Desktop menu and then select Sign in / Create Docker ID.

2. Enter your Docker ID and password and click Sign in.

3. After you have successfully signed in, Docker Desktop prompts you to enter the authentication code. Enter the six-digit code from your phone and then click Verify.

After you have successfully authenticated, you can access your organizations and repositories directly from the Docker Desktop menu.

Where to go next

• Try out the walkthrough at Get Started.

• Dig in deeper with Docker Labs examplewalkthroughs and source code.

• For a summary of Docker command line interface (CLI) commands, seeDocker CLI Reference Guide.

• Check out the blog post, What’s New in Docker 17.06 Community Edition(CE).