text: # coding: utf-8
  
  """
      Mux API
  
      Mux is how developers build online video. This API encompasses both Mux Video and Mux Data functionality to help you build your video-related projects better and faster than ever before.  # noqa: E501
  
      The version of the OpenAPI document: v1
      Contact: devex@mux.com
      Generated by: https://openapi-generator.tech
  """
  
  
  import inspect
  import pprint
  import re  # noqa: F401
  import six
  
  from mux_python.configuration import Configuration
  
  
  class ListDimensionValuesResponse(object):
      """NOTE: This class is auto generated by OpenAPI Generator.
      Ref: https://openapi-generator.tech
  
      Do not edit the class manually.
      """
  
      """
      Attributes:
        openapi_types (dict): The key is attribute name
                              and the value is attribute type.
        attribute_map (dict): The key is attribute name
                              and the value is json key in definition.
      """
      openapi_types = {
          'data': 'list[DimensionValue]',
          'total_row_count': 'int',
          'timeframe': 'list[int]'
      }
  
      attribute_map = {
          'data': 'data',
          'total_row_count': 'total_row_count',
          'timeframe': 'timeframe'
      }
  
      def __init__(self, data=None, total_row_count=None, timeframe=None, local_vars_configuration=None):  # noqa: E501
          """ListDimensionValuesResponse - a model defined in OpenAPI"""  # noqa: E501
          if local_vars_configuration is None:
              local_vars_configuration = Configuration.get_default_copy()
          self.local_vars_configuration = local_vars_configuration
  
          self._data = None
          self._total_row_count = None
          self._timeframe = None
          self.discriminator = None
  
          if data is not None:
              self.data = data
          if total_row_count is not None:
              self.total_row_count = total_row_count
          if timeframe is not None:
              self.timeframe = timeframe
  
      @property
      def data(self):
          """Gets the data of this ListDimensionValuesResponse.  # noqa: E501
  
  
          :return: The data of this ListDimensionValuesResponse.  # noqa: E501
          :rtype: list[DimensionValue]
          """
          return self._data
  
      @data.setter
      def data(self, data):
          """Sets the data of this ListDimensionValuesResponse.
  
  
          :param data: The data of this ListDimensionValuesResponse.  # noqa: E501
          :type data: list[DimensionValue]
          """
  
          self._data = data
  
      @property
      def total_row_count(self):
          """Gets the total_row_count of this ListDimensionValuesResponse.  # noqa: E501
  
  
          :return: The total_row_count of this ListDimensionValuesResponse.  # noqa: E501
          :rtype: int
          """
          return self._total_row_count
  
      @total_row_count.setter
      def total_row_count(self, total_row_count):
          """Sets the total_row_count of this ListDimensionValuesResponse.
  
  
          :param total_row_count: The total_row_count of this ListDimensionValuesResponse.  # noqa: E501
          :type total_row_count: int
          """
  
          self._total_row_count = total_row_count
  
      @property
      def timeframe(self):
          """Gets the timeframe of this ListDimensionValuesResponse.  # noqa: E501
  
  
          :return: The timeframe of this ListDimensionValuesResponse.  # noqa: E501
          :rtype: list[int]
          """
          return self._timeframe
  
      @timeframe.setter
      def timeframe(self, timeframe):
          """Sets the timeframe of this ListDimensionValuesResponse.
  
  
          :param timeframe: The timeframe of this ListDimensionValuesResponse.  # noqa: E501
          :type timeframe: list[int]
          """
  
          self._timeframe = timeframe
  
      def to_dict(self, serialize=False):
          """Returns the model properties as a dict"""
          result = {}
  
          def convert(x):
              if hasattr(x, "to_dict"):
                  args = inspect.getargspec(x.to_dict).args
                  if len(args) == 1:
                      return x.to_dict()
                  else:
                      return x.to_dict(serialize)
              else:
                  return x
  
          for attr, _ in six.iteritems(self.openapi_types):
              value = getattr(self, attr)
              attr = self.attribute_map.get(attr, attr) if serialize else attr
              if isinstance(value, list):
                  result[attr] = list(map(
                      lambda x: convert(x),
                      value
                  ))
              elif isinstance(value, dict):
                  result[attr] = dict(map(
                      lambda item: (item[0], convert(item[1])),
                      value.items()
                  ))
              else:
                  result[attr] = convert(value)
  
          return result
  
      def to_str(self):
          """Returns the string representation of the model"""
          return pprint.pformat(self.to_dict())
  
      def __repr__(self):
          """For `print` and `pprint`"""
          return self.to_str()
  
      def __eq__(self, other):
          """Returns true if both objects are equal"""
          if not isinstance(other, ListDimensionValuesResponse):
              return False
  
          return self.to_dict() == other.to_dict()
  
      def __ne__(self, other):
          """Returns true if both objects are not equal"""
          if not isinstance(other, ListDimensionValuesResponse):
              return True
  
          return self.to_dict() != other.to_dict()
  