File: //snap/google-cloud-cli/current/lib/third_party/kubernetes/client/models/v1_namespace_spec.py
# coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen
https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.14.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V1NamespaceSpec(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 = {'finalizers': 'list[str]'}
attribute_map = {'finalizers': 'finalizers'}
def __init__(self, finalizers=None):
"""
V1NamespaceSpec - a model defined in Swagger
"""
self._finalizers = None
self.discriminator = None
if finalizers is not None:
self.finalizers = finalizers
@property
def finalizers(self):
"""
Gets the finalizers of this V1NamespaceSpec.
Finalizers is an opaque list of values that must be empty to permanently
remove object from storage. More info:
https://kubernetes.io/docs/tasks/administer-cluster/namespaces/
:return: The finalizers of this V1NamespaceSpec.
:rtype: list[str]
"""
return self._finalizers
@finalizers.setter
def finalizers(self, finalizers):
"""
Sets the finalizers of this V1NamespaceSpec.
Finalizers is an opaque list of values that must be empty to permanently
remove object from storage. More info:
https://kubernetes.io/docs/tasks/administer-cluster/namespaces/
:param finalizers: The finalizers of this V1NamespaceSpec.
:type: list[str]
"""
self._finalizers = finalizers
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in 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
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return 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, V1NamespaceSpec):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other