ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  TF_Tensor* result_tensor = TFE_TensorHandleResolve(result_t, status.get());

  // Copy Tensor data into an array.
  float result_data[4] = {0};
  memcpy(&result_data[0], TF_TensorData(result_tensor),
         TF_TensorByteSize(result_tensor));

  int data_len = 4;  // length of result_data

// DownloadProfileData - download profiled data from a remote node.
func (client *peerRESTClient) DownloadProfileData(ctx context.Context) (data map[string][]byte, err error) {
	respBody, err := client.callWithContext(ctx, peerRESTMethodDownloadProfilingData, nil, nil, -1)
	if err != nil {
		return
	}
	defer xhttp.DrainBody(respBody)
	err = gob.NewDecoder(respBody).Decode(&data)
	return data, err
}

        : copyOf(elements.iterator());
  }

  /**
   * Returns an immutable list containing the given elements, in order.
   *
   * <p>Despite the method name, this method attempts to avoid actually copying the data when it is
   * safe to do so. The exact circumstances under which a copy will or will not be performed are
   * undocumented and subject to change.
   *

Isso, mais o simples fato que Python é a principal linguagem para **Data Science**, Machine Learning e especialmente Deep Learning, faz do FastAPI uma ótima escolha para APIs web e aplicações com Data Science / Machine Learning (entre muitas outras).

}

// loadConfig - loads a new config from disk, overrides params
// from env if found and valid
// data is optional. If nil it will be loaded from backend.
func loadConfig(objAPI ObjectLayer, data []byte) error {
	bootstrapTraceMsg("load the configuration")
	srvCfg, err := readServerConfig(GlobalContext, objAPI, data)
	if err != nil {
		return err
	}

	bootstrapTraceMsg("lookup the configuration")

 * arbitrary Charset.
 *
 * <p>This is an alternative to copying the data to an {@code OutputStream} via a {@code Writer},
 * which is necessarily blocking. By implementing an {@code InputStream} it allows consumers to
 * "pull" as much data as they can handle, which is more convenient when dealing with flow
 * controlled, async APIs.
 *
 * @author Chris Nokleberg
 */

 * arbitrary Charset.
 *
 * <p>This is an alternative to copying the data to an {@code OutputStream} via a {@code Writer},
 * which is necessarily blocking. By implementing an {@code InputStream} it allows consumers to
 * "pull" as much data as they can handle, which is more convenient when dealing with flow
 * controlled, async APIs.
 *
 * @author Chris Nokleberg
 */

    </magic>
    <sub-class-of type="application/x-mysql-db"/>
  </mime-type>
  <mime-type type="application/x-mysql-misam-data">
    <_comment>MySQL MISAM Data</_comment>
    <glob pattern="*.MYD"/>
    <!-- MISAM Data files are header-less, so no magic -->
    <sub-class-of type="application/x-mysql-db"/>
  </mime-type>
  <mime-type type="application/x-nesrom">

                request.getLocalRepository(),
                request.getRemoteRepositories());

        if (cached != null
                // if the POM has no file, we cached a missing artifact, only return the cached data if no update forced
                && (!request.isForceUpdate() || hasFile(cached.getPomArtifact()))) {
            return cached;
        }

        List<Dependency> dependencies;

	for _, rule := range lc.Rules {
		if !rule.Expiration.IsNull() || !rule.NoncurrentVersionExpiration.IsNull() {
			return true
		}
	}
	return false
}

// UnmarshalXML - decodes XML data.
func (lc *Lifecycle) UnmarshalXML(d *xml.Decoder, start xml.StartElement) (err error) {
	switch start.Name.Local {
	case "LifecycleConfiguration", "BucketLifecycleConfiguration":
	default: