assertTrue("plugin(" + target + ") is included in " + installed, exists);
                done = true;
                break;
            }
            assertTrue("plugin(" + target + ") is installed.", done);
        }
        // Delete
        {
            checkDeleteMethod(targetMap).then().body("response.status", equalTo(0));

            boolean done = false;
            for (int i = 0; i < 60; i++) {

## Where are Packages Installed { #where-are-packages-installed }

### Installing xl-meta

To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary:

```bash
go install github.com/minio/minio/docs/debugging/xl-meta@latest
```

### Using xl-meta

# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install
# the Python version set in "TFCI_PYTHON_VERSION" and use it as default.
# We enable this in the nightly and release builds because before uploading the
# wheels, we install them in a virtual environment and run some smoke tests on
# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.

    /**
     * Retrieves the list of installed plugins.
     *
     * @return JSON response containing installed plugin list
     */
    // GET /api/admin/plugin/installed
    @Execute
    public JsonResponse<ApiResult> get$installed() {
        final List<Map<String, String>> list = getAllInstalledArtifacts();

        return ComponentUtil.getPluginHelper().getArtifact(values[0], values[1]);
    }

    /**
     * Installs the specified artifact in a background thread.
     * Also removes any previously installed versions of the same plugin.
     *
     * @param artifact the artifact to install
     */
    public static void installArtifact(final Artifact artifact) {
        new Thread(() -> {

                }
                getLogger().debug(message);
            } else {
                // Locally installed file is newer, don't use the resolved version
                getLogger().debug(artifact.getArtifactId() + ": using locally installed snapshot");
            }
        }
        return version;
    }

     * correctly installed
     *
     * <p>{@link #transitioned}: is set by {@link #transitionService} to indicate that some
     * transition has been performed.
     *
     * <p>Together, they allow us to enforce that all services have their listeners installed prior
     * to any service performing a transition, then we can fail in the ServiceManager constructor

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

Chroot allows user based namespace isolation on many standard Linux deployments.

## 1. Prerequisites

- Familiarity with [chroot](http://man7.org/linux/man-pages/man2/chroot.2.html)
- Chroot installed on your machine.

## 2. Install MinIO in Chroot

```sh
mkdir -p /mnt/export/${USER}/bin
wget https://dl.min.io/server/minio/release/linux-amd64/minio -O /mnt/export/${USER}/bin/minio
chmod +x /mnt/export/${USER}/bin/minio
```