# A top level field has to be a single field, not multiple
    if len(body_param_names_set) > 1:
        return True
    first_field = fields[0]
    # If it explicitly specifies it is embedded, it has to be embedded
    if getattr(first_field.field_info, "embed", None):
        return True
    # If it's a Form (or File) field, it has to be a BaseModel (or a union of BaseModels) to be top level

TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetPrefix(
    TF_ImportGraphDefOptions* opts, const char* prefix);

// Set the execution device for nodes in `graph_def`.
// Only applies to nodes where a device was not already explicitly specified.
// `device` is copied and has no lifetime requirements.
TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetDefaultDevice(
    TF_ImportGraphDefOptions* opts, const char* device);

            Type2Message message = new Type2Message(mockContext,
                    Type2Message.NTLMSSP_NEGOTIATE_UNICODE | Type2Message.NTLMSSP_NEGOTIATE_VERSION, null, null);
            message.setTargetInformation(null); // Explicitly set to null

            // When
            byte[] bytes = message.toByteArray();

            // Then
            assertNotNull(bytes);
            int flags = Type2Message.readULong(bytes, 20);

        "//tensorflow/core:tensorflow",
        "//tensorflow/core/data:standalone",
        # Exports for pywrap_tensorflow_internal. Many of these are transitive
        # dependencies of the above, but must be explicitly listed for
        # cc_shared_library to work.
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:c_api_internal",
        "//tensorflow/c/eager:dlpack",

            return str;
        }
        return toString();
    }

    /**
     * Manually resolve this SID. Normally SIDs are automatically
     * resolved. However, if a SID is constructed explicitly using a SID
     * constructor, JCIFS will have no knowledge of the server that created the
     * SID and therefore cannot possibly resolve it automatically. In this case,
     * this method will be necessary.
     *

      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.

* Scale max-inflight limits together with master VM sizes. ([#73268](https://github.com/kubernetes/kubernetes/pull/73268), [@wojtek-t](https://github.com/wojtek-t))
* kubeadm: explicitly wait for `etcd` to have grown when joining a new control plane ([#72984](https://github.com/kubernetes/kubernetes/pull/72984), [@ereslibre](https://github.com/ereslibre))

    - `kubectl create clusterrolebinding anonymous-discovery --...

    1.2 release candidates (it was never in an actual release). Graph rewriting
    is still available, just not as `tf.RewriterConfig`. Instead add an explicit
    import.
*   Breaking change to `tf.contrib.data.Dataset` APIs that expect a nested
    structure. Lists are now converted to `tf.Tensor` implicitly. You may need
    to change uses of lists to tuples in existing code. In addition, dicts are
    now supported as a nested structure.

	keys := make([]string, len(kvs))
	var foundComment bool
	for i := range kvs {
		if kvs[i].Key == madmin.CommentKey {
			foundComment = true
		}
		keys[i] = kvs[i].Key
	}
	// Comment KV not found, add it explicitly.
	if !foundComment {
		keys = append(keys, madmin.CommentKey)
	}
	return keys
}

func (kvs KVS) String() string {
	var s strings.Builder
	for _, kv := range kvs {
		s.WriteString(kv.String())