www.gusucode.com > ros 工具箱 matlab源码程序 > ros/+robotics/+ros/+msggen/+ml_classifiers/ClassifyDataResponse.m
classdef ClassifyDataResponse < robotics.ros.Message %ClassifyDataResponse MATLAB implementation of ml_classifiers/ClassifyDataResponse % 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/ClassifyDataResponse' % The ROS message type end properties (Constant, Hidden) MD5Checksum = '5ce145dc8157b011850524b4b0ffd0b7' % The MD5 Checksum of the message definition end properties (Access = protected) JavaMessage % The Java message object end properties (Dependent) Classifications end properties (Constant, Hidden) PropertyList = {'Classifications'} % List of non-constant message properties ROSPropertyList = {'classifications'} % List of non-constant ROS message properties end methods function obj = ClassifyDataResponse(msg) %ClassifyDataResponse Construct the message object ClassifyDataResponse 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 classifications = get.Classifications(obj) %get.Classifications Get the value for property Classifications javaArray = obj.JavaMessage.getClassifications; array = obj.readJavaArray(javaArray, 'char'); classifications = arrayfun(@(x) char(x), array, 'UniformOutput', false); end function set.Classifications(obj, classifications) %set.Classifications Set the value for property Classifications if ~isvector(classifications) && isempty(classifications) % Allow empty [] input classifications = cell.empty(0,1); end validateattributes(classifications, {'cell'}, {'vector'}, 'ClassifyDataResponse', 'Classifications'); if any(cellfun(@(x) ~ischar(x), classifications)) error(message('robotics:ros:message:CellArrayStringError', ... 'classifications')); end javaArray = obj.JavaMessage.getClassifications; array = obj.writeJavaArray(classifications, javaArray, 'char'); obj.JavaMessage.setClassifications(array); end end methods (Access = protected) function cpObj = copyElement(obj) %copyElement Implements deep copy behavior for message % Call default copy method for shallow copy cpObj = copyElement@robotics.ros.Message(obj); % Create a new Java message object cpObj.JavaMessage = obj.createNewJavaMessage; % Iterate over all primitive properties cpObj.Classifications = obj.Classifications; end function reload(obj, strObj) %reload Called by loadobj to assign properties obj.Classifications = strObj.Classifications; 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.Classifications = obj.Classifications; 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.ClassifyDataResponse.empty(0,1); return end % Create an empty message object obj = robotics.ros.msggen.ml_classifiers.ClassifyDataResponse; obj.reload(strObj); end end end