# Bazelisk manually. We enable this for macOS x86 builds as those VMs do not
# have Bazelisk pre-installed. "TFCI_MACOS_INSTALL_BAZELISK_URL" contains the
# link to the Bazelisk binary which needs to be downloaded.
if [[ "${TFCI_MACOS_INSTALL_BAZELISK_ENABLE}" == 1 ]]; then
  sudo wget --no-verbose -O "/usr/local/bin/bazel" "${TFCI_MACOS_INSTALL_BAZELISK_URL}"
  chmod +x "/usr/local/bin/bazel"
fi

    /**
     * Shortcut for {@code getService(RepositoryFactory.class).createLocal(...)}.
     *
     * @param path location of the local repository to create
     * @return cache of artifacts downloaded from a remote repository or built locally
     *
     * @see org.apache.maven.api.services.RepositoryFactory#createLocal(Path)
     */
    @Nonnull
    LocalRepository createLocalRepository(@Nonnull Path path);

*----+------+------+
| <<<maven.repo.local>>> | The repository on the local machine Maven shall use to store installed and downloaded artifacts (POMs, JARs, etc). | <<<$\{user.home\}/.m2/repository>>> |
*----+------+------+

		Help:      "Distribution of time to last byte for objects downloaded from warm tier",
		Type:      gaugeMetric,
	}

	// {minio_node}_{tier}_{requests_success}
	tierRequestsSuccessMD = MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: tierSubsystem,
		Name:      tierRequestsSuccess,
		Help:      "Number of requests to download object from warm tier that were successful",
		Type:      counterMetric,

  )


def set_tf_download_clang(environ_cp):
  """Set TF_DOWNLOAD_CLANG action_env."""
  question = 'Do you wish to download a fresh release of clang? (Experimental)'
  yes_reply = 'Clang will be downloaded and used to compile tensorflow.'
  no_reply = 'Clang will not be downloaded.'
  set_action_env_var(
      environ_cp,
      'TF_DOWNLOAD_CLANG',
      None,
      False,
      question=question,

 *
 * Sometimes you'll want to show resources if they are available immediately, but not otherwise.
 * This can be used so your application can show *something* while waiting for the latest data to be
 * downloaded. To restrict a request to locally-cached resources, add the `only-if-cached`
 * directive:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()

| `minio_node_tier_tier_ttlb_seconds_distribution`   | Distribution of time to last byte for objects downloaded from warm tier     |
| `minio_node_tier_requests_success`                 | Number of requests to download object from warm tier that were successful   | 
| `minio_node_tier_requests_failure`                 | Number of requests to download object from warm tier that were failure      | 

## System Metrics

---> 100%
```

</div>

That will download a compressed file with the FastAPI code, normally from [PyPI](https://pypi.org/project/fastapi/).

It will also **download** files for other packages that FastAPI depends on.

Then it will **extract** all those files and put them in a directory in your computer.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python
response = requests.get("http://example.com/some/url")
```

4. Install the package dependencies in the requirements file.

    The `--no-cache-dir` option tells `pip` to not save the downloaded packages locally, as that is only if `pip` was going to be run again to install the same packages, but that's not the case when working with containers.

    /// note