# 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: release-1.32 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from kubernetes.client.configuration import Configuration class V1EndpointHints(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 = { 'for_zones': 'list[V1ForZone]' } attribute_map = { 'for_zones': 'forZones' } def __init__(self, for_zones=None, local_vars_configuration=None): # noqa: E501 """V1EndpointHints - 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._for_zones = None self.discriminator = None if for_zones is not None: self.for_zones = for_zones @property def for_zones(self): """Gets the for_zones of this V1EndpointHints. # noqa: E501 forZones indicates the zone(s) this endpoint should be consumed by to enable topology aware routing. # noqa: E501 :return: The for_zones of this V1EndpointHints. # noqa: E501 :rtype: list[V1ForZone] """ return self._for_zones @for_zones.setter def for_zones(self, for_zones): """Sets the for_zones of this V1EndpointHints. forZones indicates the zone(s) this endpoint should be consumed by to enable topology aware routing. # noqa: E501 :param for_zones: The for_zones of this V1EndpointHints. # noqa: E501 :type: list[V1ForZone] """ self._for_zones = for_zones 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, V1EndpointHints): 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, V1EndpointHints): return True return self.to_dict() != other.to_dict()