if err != nil || numEntries < 0 || int(2*numEntries) < int(numEntries) {
		return nil, ErrHeader
	}

	// There should be two numbers in sparseMap for each entry.
	sparseMap := strings.Split(paxHdrs[paxGNUSparseMap], ",")
	if len(sparseMap) == 1 && sparseMap[0] == "" {
		sparseMap = sparseMap[:0]
	}
	if int64(len(sparseMap)) != 2*numEntries {
		return nil, ErrHeader
	}

    visibility = ["//visibility:public"],
)

# This flag disables generating tensorflow.lite.python under LiteRT repo.
# Avoid using flag for creating tflite wheels as tensorflow/lite is not yet fully split from tf.
config_setting(
    name = "disable_tf_lite_py",
    define_values = {"disable_tf_lite_py": "true"},
    visibility = ["//visibility:public"],
)

# This flag enables experimental MLIR support.

  return status->status.ok();
}

TF_ApiDefMap* TF_NewApiDefMap(TF_Buffer* op_list_buffer, TF_Status* status) {
  tensorflow::OpList op_list;
  if (!op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length)) {
    status->status = InvalidArgument("Unparseable OpList");
    return nullptr;
  }
  status->status = absl::OkStatus();
  return new TF_ApiDefMap(op_list);
}

    tensorflow::OpList op_list;
    EXPECT_TRUE(op_list.ParseFromArray(op_list_buf.data, op_list_buf.length));
    ASSERT_EQ(op_list.op_size(), 1);
    EXPECT_EQ("TestCApi1", op_list.op(0).name());
    TF_DeleteLibraryHandle(lib);
  }
#endif  // !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    TF_Buffer* op_list_buffer = TF_GetAllOpList();
    tensorflow::OpList op_list;

		log.Printf("%s: empty file", filename)
		exitCode = 1
	} else if s[len(s)-1] != '\n' {
		log.Printf("%s: missing final newline", filename)
		exitCode = 1
	}
	s = aliasReplacer.Replace(s)
	lines := strings.Split(s, "\n")
	var nonblank []string
	for i, line := range lines {
		line = strings.TrimSpace(line)
		if line == "" || strings.HasPrefix(line, "#") {
			continue
		}
		if needApproval {

border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.dropdown-toggle-split {\n  padding-right: 0.5625rem;\n  padding-left: 0.5625rem;\n}\n\n.dropdown-toggle-split::after,\n.dropup .dropdown-toggle-split::after,\n.dropright .dropdown-toggle-split::after {\n  margin-left: 0;\n}\n\n.dropleft .dropdown-toggle-split::before {\n  margin-right: 0;\n}\n\n.btn-sm + .dropdown-toggle-split, .btn-group-sm > .btn + .dropdown-toggle-split {\n  padding-right: 0.375rem;\n  padding-left: 0.375rem;\n}\n\n.btn-lg...

							t.Errorf("invalid data type for %v, got %v %#v", dbName, resultType, first[dbName])
						}
					case "Birthday":
						if !strings.Contains(resultType, "Time") && !(DB.Dialector.Name() == "sqlite" && strings.Contains(resultType, "string")) {
							t.Errorf("invalid data type for %v, got %v %#v", dbName, resultType, first[dbName])
						}
					}

					reflectValue := reflect.Indirect(reflect.ValueOf(users[0]))

	} else {
		minDisks = er.setDriveCount - er.defaultParityCount
	}

	if minDisks == er.setDriveCount/2 {
		// when data and parity are same we must atleast
		// wait for response from 1 extra drive to avoid
		// split-brain.
		minDisks++
	}

	calcQuorum := func(metaArr []FileInfo, errs []error) (FileInfo, []FileInfo, []StorageAPI, time.Time, string, error) {

- Fixed an issue in the kubelet that showed when writeable layers and read-only layers were at different paths within the same mount.

        String hostname = serverAddress.getHostName();
        if (hostname != null && hostname.contains(".")) {
            // Extract potential cluster name from hostname
            String[] parts = hostname.split("\\.");
            if (parts.length > 1) {
                return parts[0]; // Use first part as cluster name
            }
        }
        return null;
    }

    /**