_ClassifyData.py

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"""autogenerated by genpy from ml_classifiers/ClassifyDataRequest.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct

import ml_classifiers.msg

class ClassifyDataRequest(genpy.Message):
  _md5sum = "572733f6e77cd60bddc5c0b72307999c"
  _type = "ml_classifiers/ClassifyDataRequest"
  _has_header = False #flag to mark the presence of a Header object
  _full_text = """string identifier
ClassDataPoint[] data

================================================================================
MSG: ml_classifiers/ClassDataPoint
string target_class
float64[] point

"""
  __slots__ = ['identifier','data']
  _slot_types = ['string','ml_classifiers/ClassDataPoint[]']

  def __init__(self, *args, **kwds):
    """
    Constructor. Any message fields that are implicitly/explicitly
    set to None will be assigned a default value. The recommend
    use is keyword arguments as this is more robust to future message
    changes.  You cannot mix in-order arguments and keyword arguments.

    The available fields are:
       identifier,data

    :param args: complete set of field values, in .msg order
    :param kwds: use keyword arguments corresponding to message field names
    to set specific fields.
    """
    if args or kwds:
      super(ClassifyDataRequest, self).__init__(*args, **kwds)
      #message fields cannot be None, assign default values for those that are
      if self.identifier is None:
        self.identifier = ''
      if self.data is None:
        self.data = []
    else:
      self.identifier = ''
      self.data = []

  def _get_types(self):
    """
    internal API method
    """
    return self._slot_types

  def serialize(self, buff):
    """
    serialize message into buffer
    :param buff: buffer, ``StringIO``
    """
    try:
      _x = self.identifier
      length = len(_x)
      if python3 or type(_x) == unicode:
        _x = _x.encode('utf-8')
        length = len(_x)
      buff.write(struct.pack('<I%ss'%length, length, _x))
      length = len(self.data)
      buff.write(_struct_I.pack(length))
      for val1 in self.data:
        _x = val1.target_class
        length = len(_x)
        if python3 or type(_x) == unicode:
          _x = _x.encode('utf-8')
          length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        length = len(val1.point)
        buff.write(_struct_I.pack(length))
        pattern = '<%sd'%length
        buff.write(struct.pack(pattern, *val1.point))
    except struct.error as se: self._check_types(se)
    except TypeError as te: self._check_types(te)

  def deserialize(self, str):
    """
    unpack serialized message in str into this message instance
    :param str: byte array of serialized message, ``str``
    """
    try:
      if self.data is None:
        self.data = None
      end = 0
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      start = end
      end += length
      if python3:
        self.identifier = str[start:end].decode('utf-8')
      else:
        self.identifier = str[start:end]
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      self.data = []
      for i in range(0, length):
        val1 = ml_classifiers.msg.ClassDataPoint()
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        if python3:
          val1.target_class = str[start:end].decode('utf-8')
        else:
          val1.target_class = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        pattern = '<%sd'%length
        start = end
        end += struct.calcsize(pattern)
        val1.point = struct.unpack(pattern, str[start:end])
        self.data.append(val1)
      return self
    except struct.error as e:
      raise genpy.DeserializationError(e) #most likely buffer underfill


  def serialize_numpy(self, buff, numpy):
    """
    serialize message with numpy array types into buffer
    :param buff: buffer, ``StringIO``
    :param numpy: numpy python module
    """
    try:
      _x = self.identifier
      length = len(_x)
      if python3 or type(_x) == unicode:
        _x = _x.encode('utf-8')
        length = len(_x)
      buff.write(struct.pack('<I%ss'%length, length, _x))
      length = len(self.data)
      buff.write(_struct_I.pack(length))
      for val1 in self.data:
        _x = val1.target_class
        length = len(_x)
        if python3 or type(_x) == unicode:
          _x = _x.encode('utf-8')
          length = len(_x)
        buff.write(struct.pack('<I%ss'%length, length, _x))
        length = len(val1.point)
        buff.write(_struct_I.pack(length))
        pattern = '<%sd'%length
        buff.write(val1.point.tostring())
    except struct.error as se: self._check_types(se)
    except TypeError as te: self._check_types(te)

  def deserialize_numpy(self, str, numpy):
    """
    unpack serialized message in str into this message instance using numpy for array types
    :param str: byte array of serialized message, ``str``
    :param numpy: numpy python module
    """
    try:
      if self.data is None:
        self.data = None
      end = 0
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      start = end
      end += length
      if python3:
        self.identifier = str[start:end].decode('utf-8')
      else:
        self.identifier = str[start:end]
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      self.data = []
      for i in range(0, length):
        val1 = ml_classifiers.msg.ClassDataPoint()
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        if python3:
          val1.target_class = str[start:end].decode('utf-8')
        else:
          val1.target_class = str[start:end]
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        pattern = '<%sd'%length
        start = end
        end += struct.calcsize(pattern)
        val1.point = numpy.frombuffer(str[start:end], dtype=numpy.float64, count=length)
        self.data.append(val1)
      return self
    except struct.error as e:
      raise genpy.DeserializationError(e) #most likely buffer underfill

_struct_I = genpy.struct_I
"""autogenerated by genpy from ml_classifiers/ClassifyDataResponse.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct


class ClassifyDataResponse(genpy.Message):
  _md5sum = "5ce145dc8157b011850524b4b0ffd0b7"
  _type = "ml_classifiers/ClassifyDataResponse"
  _has_header = False #flag to mark the presence of a Header object
  _full_text = """string[] classifications






"""
  __slots__ = ['classifications']
  _slot_types = ['string[]']

  def __init__(self, *args, **kwds):
    """
    Constructor. Any message fields that are implicitly/explicitly
    set to None will be assigned a default value. The recommend
    use is keyword arguments as this is more robust to future message
    changes.  You cannot mix in-order arguments and keyword arguments.

    The available fields are:
       classifications

    :param args: complete set of field values, in .msg order
    :param kwds: use keyword arguments corresponding to message field names
    to set specific fields.
    """
    if args or kwds:
      super(ClassifyDataResponse, self).__init__(*args, **kwds)
      #message fields cannot be None, assign default values for those that are
      if self.classifications is None:
        self.classifications = []
    else:
      self.classifications = []

  def _get_types(self):
    """
    internal API method
    """
    return self._slot_types

  def serialize(self, buff):
    """
    serialize message into buffer
    :param buff: buffer, ``StringIO``
    """
    try:
      length = len(self.classifications)
      buff.write(_struct_I.pack(length))
      for val1 in self.classifications:
        length = len(val1)
        if python3 or type(val1) == unicode:
          val1 = val1.encode('utf-8')
          length = len(val1)
        buff.write(struct.pack('<I%ss'%length, length, val1))
    except struct.error as se: self._check_types(se)
    except TypeError as te: self._check_types(te)

  def deserialize(self, str):
    """
    unpack serialized message in str into this message instance
    :param str: byte array of serialized message, ``str``
    """
    try:
      end = 0
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      self.classifications = []
      for i in range(0, length):
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        if python3:
          val1 = str[start:end].decode('utf-8')
        else:
          val1 = str[start:end]
        self.classifications.append(val1)
      return self
    except struct.error as e:
      raise genpy.DeserializationError(e) #most likely buffer underfill


  def serialize_numpy(self, buff, numpy):
    """
    serialize message with numpy array types into buffer
    :param buff: buffer, ``StringIO``
    :param numpy: numpy python module
    """
    try:
      length = len(self.classifications)
      buff.write(_struct_I.pack(length))
      for val1 in self.classifications:
        length = len(val1)
        if python3 or type(val1) == unicode:
          val1 = val1.encode('utf-8')
          length = len(val1)
        buff.write(struct.pack('<I%ss'%length, length, val1))
    except struct.error as se: self._check_types(se)
    except TypeError as te: self._check_types(te)

  def deserialize_numpy(self, str, numpy):
    """
    unpack serialized message in str into this message instance using numpy for array types
    :param str: byte array of serialized message, ``str``
    :param numpy: numpy python module
    """
    try:
      end = 0
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      self.classifications = []
      for i in range(0, length):
        start = end
        end += 4
        (length,) = _struct_I.unpack(str[start:end])
        start = end
        end += length
        if python3:
          val1 = str[start:end].decode('utf-8')
        else:
          val1 = str[start:end]
        self.classifications.append(val1)
      return self
    except struct.error as e:
      raise genpy.DeserializationError(e) #most likely buffer underfill

_struct_I = genpy.struct_I
class ClassifyData(object):
  _type          = 'ml_classifiers/ClassifyData'
  _md5sum = '5ee7ec82bea2c231e357662def7bf4a4'
  _request_class  = ClassifyDataRequest
  _response_class = ClassifyDataResponse