python/kubernetes/client/models/v1beta2_rolling_update_stateful_set_strategy.py
2019-07-01 15:20:01 -07:00

127 lines
3.4 KiB
Python

# 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 V1beta2RollingUpdateStatefulSetStrategy(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 = {
'partition': 'int'
}
attribute_map = {
'partition': 'partition'
}
def __init__(self, partition=None):
"""
V1beta2RollingUpdateStatefulSetStrategy - a model defined in Swagger
"""
self._partition = None
self.discriminator = None
if partition is not None:
self.partition = partition
@property
def partition(self):
"""
Gets the partition of this V1beta2RollingUpdateStatefulSetStrategy.
Partition indicates the ordinal at which the StatefulSet should be partitioned. Default value is 0.
:return: The partition of this V1beta2RollingUpdateStatefulSetStrategy.
:rtype: int
"""
return self._partition
@partition.setter
def partition(self, partition):
"""
Sets the partition of this V1beta2RollingUpdateStatefulSetStrategy.
Partition indicates the ordinal at which the StatefulSet should be partitioned. Default value is 0.
:param partition: The partition of this V1beta2RollingUpdateStatefulSetStrategy.
:type: int
"""
self._partition = partition
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, V1beta2RollingUpdateStatefulSetStrategy):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other