text: # Copyright 2021 The KServe Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # coding: utf-8
  
  """
      KServe
  
      Python SDK for KServe  # noqa: E501
  
      OpenAPI spec version: v0.1
  
      Generated by: https://github.com/swagger-api/swagger-codegen.git
  """
  
  
  import pprint
  import re  # noqa: F401
  
  import six
  
  from kserve.models.knative_condition import KnativeCondition  # noqa: F401,E501
  
  
  class KnativeStatus(object):
      """NOTE: This class is auto generated by the swagger code generator program.
  
      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 = {
          'conditions': 'list[KnativeCondition]',
          'observed_generation': 'int'
      }
  
      attribute_map = {
          'conditions': 'conditions',
          'observed_generation': 'observedGeneration'
      }
  
      def __init__(self, conditions=None, observed_generation=None):  # noqa: E501
          """KnativeStatus - a model defined in Swagger"""  # noqa: E501
  
          self._conditions = None
          self._observed_generation = None
          self.discriminator = None
  
          if conditions is not None:
              self.conditions = conditions
          if observed_generation is not None:
              self.observed_generation = observed_generation
  
      @property
      def conditions(self):
          """Gets the conditions of this KnativeStatus.  # noqa: E501
  
          Conditions the latest available observations of a resource's current state.  # noqa: E501
  
          :return: The conditions of this KnativeStatus.  # noqa: E501
          :rtype: list[KnativeCondition]
          """
          return self._conditions
  
      @conditions.setter
      def conditions(self, conditions):
          """Sets the conditions of this KnativeStatus.
  
          Conditions the latest available observations of a resource's current state.  # noqa: E501
  
          :param conditions: The conditions of this KnativeStatus.  # noqa: E501
          :type: list[KnativeCondition]
          """
  
          self._conditions = conditions
  
      @property
      def observed_generation(self):
          """Gets the observed_generation of this KnativeStatus.  # noqa: E501
  
          ObservedGeneration is the 'Generation' of the Service that was last processed by the controller.  # noqa: E501
  
          :return: The observed_generation of this KnativeStatus.  # noqa: E501
          :rtype: int
          """
          return self._observed_generation
  
      @observed_generation.setter
      def observed_generation(self, observed_generation):
          """Sets the observed_generation of this KnativeStatus.
  
          ObservedGeneration is the 'Generation' of the Service that was last processed by the controller.  # noqa: E501
  
          :param observed_generation: The observed_generation of this KnativeStatus.  # noqa: E501
          :type: int
          """
  
          self._observed_generation = observed_generation
  
      def to_dict(self):
          """Returns the model properties as a dict"""
          result = {}
  
          for attr, _ in six.iteritems(self.openapi_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(KnativeStatus, 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, KnativeStatus):
              return False
  
          return self.__dict__ == other.__dict__
  
      def __ne__(self, other):
          """Returns true if both objects are not equal"""
          return not self == other
  