_ObjectRecognitionGuiResult.py

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


class ObjectRecognitionGuiResult(genpy.Message):
  _md5sum = "1df476ea7f04bb3d25dd52feebbc33c0"
  _type = "object_recognition_gui/ObjectRecognitionGuiResult"
  _has_header = False #flag to mark the presence of a Header object
  _full_text = """# ====== DO NOT MODIFY! AUTOGENERATED FROM AN ACTION DEFINITION ======

#the index of the model hypothesis that the user has selected for each cluster
#values below 0 mean 'reject all hypotheses'
int32[] selected_hypothesis_indices

"""
  __slots__ = ['selected_hypothesis_indices']
  _slot_types = ['int32[]']

  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:
       selected_hypothesis_indices

    :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(ObjectRecognitionGuiResult, self).__init__(*args, **kwds)
      #message fields cannot be None, assign default values for those that are
      if self.selected_hypothesis_indices is None:
        self.selected_hypothesis_indices = []
    else:
      self.selected_hypothesis_indices = []

  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.selected_hypothesis_indices)
      buff.write(_struct_I.pack(length))
      pattern = '<%si'%length
      buff.write(struct.pack(pattern, *self.selected_hypothesis_indices))
    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])
      pattern = '<%si'%length
      start = end
      end += struct.calcsize(pattern)
      self.selected_hypothesis_indices = struct.unpack(pattern, str[start:end])
      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.selected_hypothesis_indices)
      buff.write(_struct_I.pack(length))
      pattern = '<%si'%length
      buff.write(self.selected_hypothesis_indices.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:
      end = 0
      start = end
      end += 4
      (length,) = _struct_I.unpack(str[start:end])
      pattern = '<%si'%length
      start = end
      end += struct.calcsize(pattern)
      self.selected_hypothesis_indices = numpy.frombuffer(str[start:end], dtype=numpy.int32, count=length)
      return self
    except struct.error as e:
      raise genpy.DeserializationError(e) #most likely buffer underfill

_struct_I = genpy.struct_I