150 lines
5.2 KiB
Python
150 lines
5.2 KiB
Python
# 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 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()
|