traefik-certmanager/kubernetes/client/models/v1_token_review_spec.py

# 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 V1TokenReviewSpec(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 = {
        'audiences': 'list[str]',
        'token': 'str'
    }

    attribute_map = {
        'audiences': 'audiences',
        'token': 'token'
    }

    def __init__(self, audiences=None, token=None, local_vars_configuration=None):  # noqa: E501
        """V1TokenReviewSpec - 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._audiences = None
        self._token = None
        self.discriminator = None

        if audiences is not None:
            self.audiences = audiences
        if token is not None:
            self.token = token

    @property
    def audiences(self):
        """Gets the audiences of this V1TokenReviewSpec.  # noqa: E501

        Audiences is a list of the identifiers that the resource server presented with the token identifies as. Audience-aware token authenticators will verify that the token was intended for at least one of the audiences in this list. If no audiences are provided, the audience will default to the audience of the Kubernetes apiserver.  # noqa: E501

        :return: The audiences of this V1TokenReviewSpec.  # noqa: E501
        :rtype: list[str]
        """
        return self._audiences

    @audiences.setter
    def audiences(self, audiences):
        """Sets the audiences of this V1TokenReviewSpec.

        Audiences is a list of the identifiers that the resource server presented with the token identifies as. Audience-aware token authenticators will verify that the token was intended for at least one of the audiences in this list. If no audiences are provided, the audience will default to the audience of the Kubernetes apiserver.  # noqa: E501

        :param audiences: The audiences of this V1TokenReviewSpec.  # noqa: E501
        :type: list[str]
        """

        self._audiences = audiences

    @property
    def token(self):
        """Gets the token of this V1TokenReviewSpec.  # noqa: E501

        Token is the opaque bearer token.  # noqa: E501

        :return: The token of this V1TokenReviewSpec.  # noqa: E501
        :rtype: str
        """
        return self._token

    @token.setter
    def token(self, token):
        """Sets the token of this V1TokenReviewSpec.

        Token is the opaque bearer token.  # noqa: E501

        :param token: The token of this V1TokenReviewSpec.  # noqa: E501
        :type: str
        """

        self._token = token

    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, V1TokenReviewSpec):
            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, V1TokenReviewSpec):
            return True

        return self.to_dict() != other.to_dict()