tierTTLBMD = MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: tierSubsystem,
		Name:      ttlbDistribution,
		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,

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,
      yes_reply=yes_reply,

|:---------------------------------------------------|:----------------------------------------------------------------------------|
| `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   | 

 *
 * 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()

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")
```

	if err != nil {
		t.Fatalf("%s: <ERROR> %s", instanceType, err)
	}
	if len(bytesBuffer.Bytes()) != len(uploadContent) {
		t.Errorf("%s: Expected length of downloaded data to be `%d`, but instead found `%d`",
			instanceType, len(uploadContent), len(bytesBuffer.Bytes()))
	}
}

// Wrapper for calling testListBuckets for both Erasure and FS.
func TestListBuckets(t *testing.T) {

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.

By default, it will put those files downloaded and extracted in the directory that comes with your Python installation, that's the **global environment**.

## What are Virtual Environments { #what-are-virtual-environments }

	response, err = s.client.Do(request)
	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)

	bucketPolicyReadBuf, err := io.ReadAll(response.Body)
	c.Assert(err, nil)
	// Verify if downloaded policy matches with previously uploaded.
	expectedPolicy, err := policy.ParseBucketPolicyConfig(strings.NewReader(bucketPolicyStr), bucketName)
	c.Assert(err, nil)

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

}

// HealthHandler - returns true of health
func (s *peerRESTServer) HealthHandler(w http.ResponseWriter, r *http.Request) {
	s.IsValid(w, r)
}

// VerifyBinary - verifies the downloaded binary is in-tact
func (s *peerRESTServer) VerifyBinaryHandler(w http.ResponseWriter, r *http.Request) {
	if !s.IsValid(w, r) {
		s.writeErrorResponse(w, errors.New("Invalid request"))
		return
	}