1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
|
# 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-1.30
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from kubernetes.client.configuration import Configuration
class V1Scheduling(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 = {
'node_selector': 'dict(str, str)',
'tolerations': 'list[V1Toleration]'
}
attribute_map = {
'node_selector': 'nodeSelector',
'tolerations': 'tolerations'
}
def __init__(self, node_selector=None, tolerations=None, local_vars_configuration=None): # noqa: E501
"""V1Scheduling - 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._node_selector = None
self._tolerations = None
self.discriminator = None
if node_selector is not None:
self.node_selector = node_selector
if tolerations is not None:
self.tolerations = tolerations
@property
def node_selector(self):
"""Gets the node_selector of this V1Scheduling. # noqa: E501
nodeSelector lists labels that must be present on nodes that support this RuntimeClass. Pods using this RuntimeClass can only be scheduled to a node matched by this selector. The RuntimeClass nodeSelector is merged with a pod's existing nodeSelector. Any conflicts will cause the pod to be rejected in admission. # noqa: E501
:return: The node_selector of this V1Scheduling. # noqa: E501
:rtype: dict(str, str)
"""
return self._node_selector
@node_selector.setter
def node_selector(self, node_selector):
"""Sets the node_selector of this V1Scheduling.
nodeSelector lists labels that must be present on nodes that support this RuntimeClass. Pods using this RuntimeClass can only be scheduled to a node matched by this selector. The RuntimeClass nodeSelector is merged with a pod's existing nodeSelector. Any conflicts will cause the pod to be rejected in admission. # noqa: E501
:param node_selector: The node_selector of this V1Scheduling. # noqa: E501
:type: dict(str, str)
"""
self._node_selector = node_selector
@property
def tolerations(self):
"""Gets the tolerations of this V1Scheduling. # noqa: E501
tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, effectively unioning the set of nodes tolerated by the pod and the RuntimeClass. # noqa: E501
:return: The tolerations of this V1Scheduling. # noqa: E501
:rtype: list[V1Toleration]
"""
return self._tolerations
@tolerations.setter
def tolerations(self, tolerations):
"""Sets the tolerations of this V1Scheduling.
tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, effectively unioning the set of nodes tolerated by the pod and the RuntimeClass. # noqa: E501
:param tolerations: The tolerations of this V1Scheduling. # noqa: E501
:type: list[V1Toleration]
"""
self._tolerations = tolerations
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, V1Scheduling):
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, V1Scheduling):
return True
return self.to_dict() != other.to_dict()
|
