www.gusucode.com > ros 工具箱 matlab源码程序 > ros/+robotics/+ros/+msggen/+ml_classifiers/ClassifyDataRequest.m
classdef ClassifyDataRequest < robotics.ros.Message %ClassifyDataRequest MATLAB implementation of ml_classifiers/ClassifyDataRequest % This class was automatically generated by % robotics.ros.msg.internal.gen.MessageClassGenerator. % Copyright 2014-2016 The MathWorks, Inc. %#ok<*INUSD> properties (Constant) MessageType = 'ml_classifiers/ClassifyDataRequest' % The ROS message type end properties (Constant, Hidden) MD5Checksum = '572733f6e77cd60bddc5c0b72307999c' % The MD5 Checksum of the message definition end properties (Access = protected) JavaMessage % The Java message object end properties (Constant, Access = protected) MlClassifiersClassDataPointClass = robotics.ros.msg.internal.MessageFactory.getClassForType('ml_classifiers/ClassDataPoint') % Dispatch to MATLAB class for message type ml_classifiers/ClassDataPoint end properties (Dependent) Identifier Data end properties (Access = protected) Cache = struct('Data', []) % The cache for fast data access end properties (Constant, Hidden) PropertyList = {'Data', 'Identifier'} % List of non-constant message properties ROSPropertyList = {'data', 'identifier'} % List of non-constant ROS message properties end methods function obj = ClassifyDataRequest(msg) %ClassifyDataRequest Construct the message object ClassifyDataRequest import com.mathworks.toolbox.robotics.ros.message.MessageInfo; % Support default constructor if nargin == 0 obj.JavaMessage = obj.createNewJavaMessage; return; end % Construct appropriate empty array if isempty(msg) obj = obj.empty(0,1); return; end % Make scalar construction fast if isscalar(msg) % Check for correct input class if ~MessageInfo.compareTypes(msg(1), obj.MessageType) error(message('robotics:ros:message:NoTypeMatch', obj.MessageType, ... char(MessageInfo.getType(msg(1))) )); end obj.JavaMessage = msg(1); return; end % Check that this is a vector of scalar messages. Since this % is an object array, use arrayfun to verify. if ~all(arrayfun(@isscalar, msg)) error(message('robotics:ros:message:MessageArraySizeError')); end % Check that all messages in the array have the correct type if ~all(arrayfun(@(x) MessageInfo.compareTypes(x, obj.MessageType), msg)) error(message('robotics:ros:message:NoTypeMatchArray', obj.MessageType)); end % Construct array of objects if necessary objType = class(obj); for i = 1:length(msg) obj(i,1) = feval(objType, msg(i)); %#ok<AGROW> end end function identifier = get.Identifier(obj) %get.Identifier Get the value for property Identifier identifier = char(obj.JavaMessage.getIdentifier); end function set.Identifier(obj, identifier) %set.Identifier Set the value for property Identifier validateattributes(identifier, {'char'}, {}, 'ClassifyDataRequest', 'Identifier'); obj.JavaMessage.setIdentifier(identifier); end function data = get.Data(obj) %get.Data Get the value for property Data if isempty(obj.Cache.Data) javaArray = obj.JavaMessage.getData; array = obj.readJavaArray(javaArray, obj.MlClassifiersClassDataPointClass); obj.Cache.Data = feval(obj.MlClassifiersClassDataPointClass, array); end data = obj.Cache.Data; end function set.Data(obj, data) %set.Data Set the value for property Data if ~isvector(data) && isempty(data) % Allow empty [] input data = feval([obj.MlClassifiersClassDataPointClass '.empty'], 0, 1); end validateattributes(data, {obj.MlClassifiersClassDataPointClass}, {'vector'}, 'ClassifyDataRequest', 'Data'); javaArray = obj.JavaMessage.getData; array = obj.writeJavaArray(data, javaArray, obj.MlClassifiersClassDataPointClass); obj.JavaMessage.setData(array); % Update cache if necessary if ~isempty(obj.Cache.Data) obj.Cache.Data = []; obj.Cache.Data = obj.Data; end end end methods (Access = protected) function resetCache(obj) %resetCache Resets any cached properties obj.Cache.Data = []; end function cpObj = copyElement(obj) %copyElement Implements deep copy behavior for message % Call default copy method for shallow copy cpObj = copyElement@robotics.ros.Message(obj); % Clear any existing cached properties cpObj.resetCache; % Create a new Java message object cpObj.JavaMessage = obj.createNewJavaMessage; % Iterate over all primitive properties cpObj.Identifier = obj.Identifier; % Recursively copy compound properties cpObj.Data = copy(obj.Data); end function reload(obj, strObj) %reload Called by loadobj to assign properties obj.Identifier = strObj.Identifier; DataCell = arrayfun(@(x) feval([obj.MlClassifiersClassDataPointClass '.loadobj'], x), strObj.Data, 'UniformOutput', false); obj.Data = vertcat(DataCell{:}); end end methods (Access = ?robotics.ros.Message) function strObj = saveobj(obj) %saveobj Implements saving of message to MAT file % Return an empty element if object array is empty if isempty(obj) strObj = struct.empty; return end strObj.Identifier = obj.Identifier; strObj.Data = arrayfun(@(x) saveobj(x), obj.Data); end end methods (Static, Access = {?matlab.unittest.TestCase, ?robotics.ros.Message}) function obj = loadobj(strObj) %loadobj Implements loading of message from MAT file % Return an empty object array if the structure element is not defined if isempty(strObj) obj = robotics.ros.msggen.ml_classifiers.ClassifyDataRequest.empty(0,1); return end % Create an empty message object obj = robotics.ros.msggen.ml_classifiers.ClassifyDataRequest; obj.reload(strObj); end end end