text: # coding: utf-8
  
  """
      Katib
  
      Swagger description for Katib  # noqa: E501
  
      OpenAPI spec version: v1beta1-0.1
      
      Generated by: https://github.com/swagger-api/swagger-codegen.git
  """
  
  
  import pprint
  import re  # noqa: F401
  
  import six
  
  from kubeflow.katib.models.v1beta1_observation import V1beta1Observation  # noqa: F401,E501
  from kubeflow.katib.models.v1beta1_parameter_assignment import V1beta1ParameterAssignment  # noqa: F401,E501
  
  
  class V1beta1OptimalTrial(object):
      """NOTE: This class is auto generated by the swagger code generator program.
  
      Do not edit the class manually.
      """
  
      """
      Attributes:
        swagger_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.
      """
      swagger_types = {
          'best_trial_name': 'str',
          'observation': 'V1beta1Observation',
          'parameter_assignments': 'list[V1beta1ParameterAssignment]'
      }
  
      attribute_map = {
          'best_trial_name': 'bestTrialName',
          'observation': 'observation',
          'parameter_assignments': 'parameterAssignments'
      }
  
      def __init__(self, best_trial_name='', observation=None, parameter_assignments=None):  # noqa: E501
          """V1beta1OptimalTrial - a model defined in Swagger"""  # noqa: E501
  
          self._best_trial_name = None
          self._observation = None
          self._parameter_assignments = None
          self.discriminator = None
  
          self.best_trial_name = best_trial_name
          if observation is not None:
              self.observation = observation
          self.parameter_assignments = parameter_assignments
  
      @property
      def best_trial_name(self):
          """Gets the best_trial_name of this V1beta1OptimalTrial.  # noqa: E501
  
          BestTrialName is the name of the best trial.  # noqa: E501
  
          :return: The best_trial_name of this V1beta1OptimalTrial.  # noqa: E501
          :rtype: str
          """
          return self._best_trial_name
  
      @best_trial_name.setter
      def best_trial_name(self, best_trial_name):
          """Sets the best_trial_name of this V1beta1OptimalTrial.
  
          BestTrialName is the name of the best trial.  # noqa: E501
  
          :param best_trial_name: The best_trial_name of this V1beta1OptimalTrial.  # noqa: E501
          :type: str
          """
          if best_trial_name is None:
              raise ValueError("Invalid value for `best_trial_name`, must not be `None`")  # noqa: E501
  
          self._best_trial_name = best_trial_name
  
      @property
      def observation(self):
          """Gets the observation of this V1beta1OptimalTrial.  # noqa: E501
  
          Observation for this trial  # noqa: E501
  
          :return: The observation of this V1beta1OptimalTrial.  # noqa: E501
          :rtype: V1beta1Observation
          """
          return self._observation
  
      @observation.setter
      def observation(self, observation):
          """Sets the observation of this V1beta1OptimalTrial.
  
          Observation for this trial  # noqa: E501
  
          :param observation: The observation of this V1beta1OptimalTrial.  # noqa: E501
          :type: V1beta1Observation
          """
  
          self._observation = observation
  
      @property
      def parameter_assignments(self):
          """Gets the parameter_assignments of this V1beta1OptimalTrial.  # noqa: E501
  
          Key-value pairs for hyperparameters and assignment values.  # noqa: E501
  
          :return: The parameter_assignments of this V1beta1OptimalTrial.  # noqa: E501
          :rtype: list[V1beta1ParameterAssignment]
          """
          return self._parameter_assignments
  
      @parameter_assignments.setter
      def parameter_assignments(self, parameter_assignments):
          """Sets the parameter_assignments of this V1beta1OptimalTrial.
  
          Key-value pairs for hyperparameters and assignment values.  # noqa: E501
  
          :param parameter_assignments: The parameter_assignments of this V1beta1OptimalTrial.  # noqa: E501
          :type: list[V1beta1ParameterAssignment]
          """
          if parameter_assignments is None:
              raise ValueError("Invalid value for `parameter_assignments`, must not be `None`")  # noqa: E501
  
          self._parameter_assignments = parameter_assignments
  
      def to_dict(self):
          """Returns the model properties as a dict"""
          result = {}
  
          for attr, _ in six.iteritems(self.swagger_types):
              value = getattr(self, attr)
              if isinstance(value, list):
                  result[attr] = list(map(
                      lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
                      value
                  ))
              elif hasattr(value, "to_dict"):
                  result[attr] = value.to_dict()
              elif isinstance(value, dict):
                  result[attr] = dict(map(
                      lambda item: (item[0], item[1].to_dict())
                      if hasattr(item[1], "to_dict") else item,
                      value.items()
                  ))
              else:
                  result[attr] = value
          if issubclass(V1beta1OptimalTrial, dict):
              for key, value in self.items():
                  result[key] = 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, V1beta1OptimalTrial):
              return False
  
          return self.__dict__ == other.__dict__
  
      def __ne__(self, other):
          """Returns true if both objects are not equal"""
          return not self == other
  