message["content-type"] = content_type_value
                                if message.get_content_maintype() == "application":
                                    subtype = message.get_content_subtype()
                                    if subtype == "json" or subtype.endswith("+json"):
                                        json_body = await request.json()

	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)
	// extract the content from response body.
	getContent, err := io.ReadAll(response.Body)
	c.Assert(err, nil)

	// Compare putContent and getContent.
	c.Assert(string(getContent), putContent)
}

// TestGetObjectLarge11MiB - Tests validate fetching of an object of size 11MB.

                                           TF_Status* status) {
  Node* node = &output.oper->node;

  mutex_lock l(graph->mu);
  tensorflow::shape_inference::InferenceContext* ic =
      graph->refiner.GetContext(node);
  if (ic == nullptr) {
    status->status =
        InvalidArgument("Node ", node->name(), " was not found in the graph");
    return;
  }

  auto shape_and_type_vec =