_TrainClassifier.py
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00001 """autogenerated by genpy from ml_classifiers/TrainClassifierRequest.msg. Do not edit."""
00002 import sys
00003 python3 = True if sys.hexversion > 0x03000000 else False
00004 import genpy
00005 import struct
00006 
00007 
00008 class TrainClassifierRequest(genpy.Message):
00009   _md5sum = "9c4b0f781baa7fd49cc9e186f2f56898"
00010   _type = "ml_classifiers/TrainClassifierRequest"
00011   _has_header = False #flag to mark the presence of a Header object
00012   _full_text = """string identifier
00013 
00014 """
00015   __slots__ = ['identifier']
00016   _slot_types = ['string']
00017 
00018   def __init__(self, *args, **kwds):
00019     """
00020     Constructor. Any message fields that are implicitly/explicitly
00021     set to None will be assigned a default value. The recommend
00022     use is keyword arguments as this is more robust to future message
00023     changes.  You cannot mix in-order arguments and keyword arguments.
00024 
00025     The available fields are:
00026        identifier
00027 
00028     :param args: complete set of field values, in .msg order
00029     :param kwds: use keyword arguments corresponding to message field names
00030     to set specific fields.
00031     """
00032     if args or kwds:
00033       super(TrainClassifierRequest, self).__init__(*args, **kwds)
00034       #message fields cannot be None, assign default values for those that are
00035       if self.identifier is None:
00036         self.identifier = ''
00037     else:
00038       self.identifier = ''
00039 
00040   def _get_types(self):
00041     """
00042     internal API method
00043     """
00044     return self._slot_types
00045 
00046   def serialize(self, buff):
00047     """
00048     serialize message into buffer
00049     :param buff: buffer, ``StringIO``
00050     """
00051     try:
00052       _x = self.identifier
00053       length = len(_x)
00054       if python3 or type(_x) == unicode:
00055         _x = _x.encode('utf-8')
00056         length = len(_x)
00057       buff.write(struct.pack('<I%ss'%length, length, _x))
00058     except struct.error as se: self._check_types(se)
00059     except TypeError as te: self._check_types(te)
00060 
00061   def deserialize(self, str):
00062     """
00063     unpack serialized message in str into this message instance
00064     :param str: byte array of serialized message, ``str``
00065     """
00066     try:
00067       end = 0
00068       start = end
00069       end += 4
00070       (length,) = _struct_I.unpack(str[start:end])
00071       start = end
00072       end += length
00073       if python3:
00074         self.identifier = str[start:end].decode('utf-8')
00075       else:
00076         self.identifier = str[start:end]
00077       return self
00078     except struct.error as e:
00079       raise genpy.DeserializationError(e) #most likely buffer underfill
00080 
00081 
00082   def serialize_numpy(self, buff, numpy):
00083     """
00084     serialize message with numpy array types into buffer
00085     :param buff: buffer, ``StringIO``
00086     :param numpy: numpy python module
00087     """
00088     try:
00089       _x = self.identifier
00090       length = len(_x)
00091       if python3 or type(_x) == unicode:
00092         _x = _x.encode('utf-8')
00093         length = len(_x)
00094       buff.write(struct.pack('<I%ss'%length, length, _x))
00095     except struct.error as se: self._check_types(se)
00096     except TypeError as te: self._check_types(te)
00097 
00098   def deserialize_numpy(self, str, numpy):
00099     """
00100     unpack serialized message in str into this message instance using numpy for array types
00101     :param str: byte array of serialized message, ``str``
00102     :param numpy: numpy python module
00103     """
00104     try:
00105       end = 0
00106       start = end
00107       end += 4
00108       (length,) = _struct_I.unpack(str[start:end])
00109       start = end
00110       end += length
00111       if python3:
00112         self.identifier = str[start:end].decode('utf-8')
00113       else:
00114         self.identifier = str[start:end]
00115       return self
00116     except struct.error as e:
00117       raise genpy.DeserializationError(e) #most likely buffer underfill
00118 
00119 _struct_I = genpy.struct_I
00120 """autogenerated by genpy from ml_classifiers/TrainClassifierResponse.msg. Do not edit."""
00121 import sys
00122 python3 = True if sys.hexversion > 0x03000000 else False
00123 import genpy
00124 import struct
00125 
00126 
00127 class TrainClassifierResponse(genpy.Message):
00128   _md5sum = "358e233cde0c8a8bcfea4ce193f8fc15"
00129   _type = "ml_classifiers/TrainClassifierResponse"
00130   _has_header = False #flag to mark the presence of a Header object
00131   _full_text = """bool success
00132 
00133 
00134 
00135 
00136 
00137 
00138 """
00139   __slots__ = ['success']
00140   _slot_types = ['bool']
00141 
00142   def __init__(self, *args, **kwds):
00143     """
00144     Constructor. Any message fields that are implicitly/explicitly
00145     set to None will be assigned a default value. The recommend
00146     use is keyword arguments as this is more robust to future message
00147     changes.  You cannot mix in-order arguments and keyword arguments.
00148 
00149     The available fields are:
00150        success
00151 
00152     :param args: complete set of field values, in .msg order
00153     :param kwds: use keyword arguments corresponding to message field names
00154     to set specific fields.
00155     """
00156     if args or kwds:
00157       super(TrainClassifierResponse, self).__init__(*args, **kwds)
00158       #message fields cannot be None, assign default values for those that are
00159       if self.success is None:
00160         self.success = False
00161     else:
00162       self.success = False
00163 
00164   def _get_types(self):
00165     """
00166     internal API method
00167     """
00168     return self._slot_types
00169 
00170   def serialize(self, buff):
00171     """
00172     serialize message into buffer
00173     :param buff: buffer, ``StringIO``
00174     """
00175     try:
00176       buff.write(_struct_B.pack(self.success))
00177     except struct.error as se: self._check_types(se)
00178     except TypeError as te: self._check_types(te)
00179 
00180   def deserialize(self, str):
00181     """
00182     unpack serialized message in str into this message instance
00183     :param str: byte array of serialized message, ``str``
00184     """
00185     try:
00186       end = 0
00187       start = end
00188       end += 1
00189       (self.success,) = _struct_B.unpack(str[start:end])
00190       self.success = bool(self.success)
00191       return self
00192     except struct.error as e:
00193       raise genpy.DeserializationError(e) #most likely buffer underfill
00194 
00195 
00196   def serialize_numpy(self, buff, numpy):
00197     """
00198     serialize message with numpy array types into buffer
00199     :param buff: buffer, ``StringIO``
00200     :param numpy: numpy python module
00201     """
00202     try:
00203       buff.write(_struct_B.pack(self.success))
00204     except struct.error as se: self._check_types(se)
00205     except TypeError as te: self._check_types(te)
00206 
00207   def deserialize_numpy(self, str, numpy):
00208     """
00209     unpack serialized message in str into this message instance using numpy for array types
00210     :param str: byte array of serialized message, ``str``
00211     :param numpy: numpy python module
00212     """
00213     try:
00214       end = 0
00215       start = end
00216       end += 1
00217       (self.success,) = _struct_B.unpack(str[start:end])
00218       self.success = bool(self.success)
00219       return self
00220     except struct.error as e:
00221       raise genpy.DeserializationError(e) #most likely buffer underfill
00222 
00223 _struct_I = genpy.struct_I
00224 _struct_B = struct.Struct("<B")
00225 class TrainClassifier(object):
00226   _type          = 'ml_classifiers/TrainClassifier'
00227   _md5sum = '126e80d7c8d36adbb3fd063504a07c0d'
00228   _request_class  = TrainClassifierRequest
00229   _response_class = TrainClassifierResponse


ml_classifiers
Author(s): Scott Niekum
autogenerated on Fri Jan 3 2014 11:30:23