text: # coding: utf-8
  
  """
      Kubernetes
  
      No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)  # noqa: E501
  
      The version of the OpenAPI document: v1.15.9
      Generated by: https://openapi-generator.tech
  """
  
  
  import pprint
  import re  # noqa: F401
  
  import six
  
  from kubernetes_asyncio.client.configuration import Configuration
  
  
  class V1HorizontalPodAutoscalerSpec(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 = {
          'max_replicas': 'int',
          'min_replicas': 'int',
          'scale_target_ref': 'V1CrossVersionObjectReference',
          'target_cpu_utilization_percentage': 'int'
      }
  
      attribute_map = {
          'max_replicas': 'maxReplicas',
          'min_replicas': 'minReplicas',
          'scale_target_ref': 'scaleTargetRef',
          'target_cpu_utilization_percentage': 'targetCPUUtilizationPercentage'
      }
  
      def __init__(self, max_replicas=None, min_replicas=None, scale_target_ref=None, target_cpu_utilization_percentage=None, local_vars_configuration=None):  # noqa: E501
          """V1HorizontalPodAutoscalerSpec - a model defined in OpenAPI"""  # noqa: E501
          if local_vars_configuration is None:
              local_vars_configuration = Configuration()
          self.local_vars_configuration = local_vars_configuration
  
          self._max_replicas = None
          self._min_replicas = None
          self._scale_target_ref = None
          self._target_cpu_utilization_percentage = None
          self.discriminator = None
  
          self.max_replicas = max_replicas
          if min_replicas is not None:
              self.min_replicas = min_replicas
          self.scale_target_ref = scale_target_ref
          if target_cpu_utilization_percentage is not None:
              self.target_cpu_utilization_percentage = target_cpu_utilization_percentage
  
      @property
      def max_replicas(self):
          """Gets the max_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
  
          upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.  # noqa: E501
  
          :return: The max_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :rtype: int
          """
          return self._max_replicas
  
      @max_replicas.setter
      def max_replicas(self, max_replicas):
          """Sets the max_replicas of this V1HorizontalPodAutoscalerSpec.
  
          upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.  # noqa: E501
  
          :param max_replicas: The max_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :type: int
          """
          if self.local_vars_configuration.client_side_validation and max_replicas is None:  # noqa: E501
              raise ValueError("Invalid value for `max_replicas`, must not be `None`")  # noqa: E501
  
          self._max_replicas = max_replicas
  
      @property
      def min_replicas(self):
          """Gets the min_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
  
          lower limit for the number of pods that can be set by the autoscaler, default 1.  # noqa: E501
  
          :return: The min_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :rtype: int
          """
          return self._min_replicas
  
      @min_replicas.setter
      def min_replicas(self, min_replicas):
          """Sets the min_replicas of this V1HorizontalPodAutoscalerSpec.
  
          lower limit for the number of pods that can be set by the autoscaler, default 1.  # noqa: E501
  
          :param min_replicas: The min_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :type: int
          """
  
          self._min_replicas = min_replicas
  
      @property
      def scale_target_ref(self):
          """Gets the scale_target_ref of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
  
  
          :return: The scale_target_ref of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :rtype: V1CrossVersionObjectReference
          """
          return self._scale_target_ref
  
      @scale_target_ref.setter
      def scale_target_ref(self, scale_target_ref):
          """Sets the scale_target_ref of this V1HorizontalPodAutoscalerSpec.
  
  
          :param scale_target_ref: The scale_target_ref of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :type: V1CrossVersionObjectReference
          """
          if self.local_vars_configuration.client_side_validation and scale_target_ref is None:  # noqa: E501
              raise ValueError("Invalid value for `scale_target_ref`, must not be `None`")  # noqa: E501
  
          self._scale_target_ref = scale_target_ref
  
      @property
      def target_cpu_utilization_percentage(self):
          """Gets the target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
  
          target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.  # noqa: E501
  
          :return: The target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :rtype: int
          """
          return self._target_cpu_utilization_percentage
  
      @target_cpu_utilization_percentage.setter
      def target_cpu_utilization_percentage(self, target_cpu_utilization_percentage):
          """Sets the target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.
  
          target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.  # noqa: E501
  
          :param target_cpu_utilization_percentage: The target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
          :type: int
          """
  
          self._target_cpu_utilization_percentage = target_cpu_utilization_percentage
  
      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
  
          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, V1HorizontalPodAutoscalerSpec):
              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, V1HorizontalPodAutoscalerSpec):
              return True
  
          return self.to_dict() != other.to_dict()
  