151 lines
5.4 KiB
Python
151 lines
5.4 KiB
Python
# coding: utf-8
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"""
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Kubernetes
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No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
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The version of the OpenAPI document: release-1.28
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Generated by: https://openapi-generator.tech
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"""
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import pprint
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import re # noqa: F401
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import six
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from kubernetes.client.configuration import Configuration
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class V1alpha2PodSchedulingContextSpec(object):
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"""NOTE: This class is auto generated by OpenAPI Generator.
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Ref: https://openapi-generator.tech
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Do not edit the class manually.
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"""
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"""
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Attributes:
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openapi_types (dict): The key is attribute name
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and the value is attribute type.
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attribute_map (dict): The key is attribute name
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and the value is json key in definition.
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"""
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openapi_types = {
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'potential_nodes': 'list[str]',
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'selected_node': 'str'
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}
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attribute_map = {
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'potential_nodes': 'potentialNodes',
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'selected_node': 'selectedNode'
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}
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def __init__(self, potential_nodes=None, selected_node=None, local_vars_configuration=None): # noqa: E501
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"""V1alpha2PodSchedulingContextSpec - a model defined in OpenAPI""" # noqa: E501
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if local_vars_configuration is None:
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local_vars_configuration = Configuration()
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self.local_vars_configuration = local_vars_configuration
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self._potential_nodes = None
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self._selected_node = None
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self.discriminator = None
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if potential_nodes is not None:
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self.potential_nodes = potential_nodes
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if selected_node is not None:
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self.selected_node = selected_node
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@property
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def potential_nodes(self):
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"""Gets the potential_nodes of this V1alpha2PodSchedulingContextSpec. # noqa: E501
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PotentialNodes lists nodes where the Pod might be able to run. The size of this field is limited to 128. This is large enough for many clusters. Larger clusters may need more attempts to find a node that suits all pending resources. This may get increased in the future, but not reduced. # noqa: E501
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:return: The potential_nodes of this V1alpha2PodSchedulingContextSpec. # noqa: E501
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:rtype: list[str]
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"""
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return self._potential_nodes
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@potential_nodes.setter
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def potential_nodes(self, potential_nodes):
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"""Sets the potential_nodes of this V1alpha2PodSchedulingContextSpec.
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PotentialNodes lists nodes where the Pod might be able to run. The size of this field is limited to 128. This is large enough for many clusters. Larger clusters may need more attempts to find a node that suits all pending resources. This may get increased in the future, but not reduced. # noqa: E501
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:param potential_nodes: The potential_nodes of this V1alpha2PodSchedulingContextSpec. # noqa: E501
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:type: list[str]
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"""
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self._potential_nodes = potential_nodes
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@property
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def selected_node(self):
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"""Gets the selected_node of this V1alpha2PodSchedulingContextSpec. # noqa: E501
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SelectedNode is the node for which allocation of ResourceClaims that are referenced by the Pod and that use \"WaitForFirstConsumer\" allocation is to be attempted. # noqa: E501
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:return: The selected_node of this V1alpha2PodSchedulingContextSpec. # noqa: E501
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:rtype: str
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"""
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return self._selected_node
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@selected_node.setter
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def selected_node(self, selected_node):
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"""Sets the selected_node of this V1alpha2PodSchedulingContextSpec.
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SelectedNode is the node for which allocation of ResourceClaims that are referenced by the Pod and that use \"WaitForFirstConsumer\" allocation is to be attempted. # noqa: E501
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:param selected_node: The selected_node of this V1alpha2PodSchedulingContextSpec. # noqa: E501
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:type: str
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"""
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self._selected_node = selected_node
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def to_dict(self):
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"""Returns the model properties as a dict"""
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result = {}
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for attr, _ in six.iteritems(self.openapi_types):
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value = getattr(self, attr)
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if isinstance(value, list):
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result[attr] = list(map(
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lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
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value
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))
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elif hasattr(value, "to_dict"):
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result[attr] = value.to_dict()
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elif isinstance(value, dict):
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result[attr] = dict(map(
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lambda item: (item[0], item[1].to_dict())
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if hasattr(item[1], "to_dict") else item,
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value.items()
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))
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else:
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result[attr] = value
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return result
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def to_str(self):
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"""Returns the string representation of the model"""
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return pprint.pformat(self.to_dict())
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def __repr__(self):
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"""For `print` and `pprint`"""
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return self.to_str()
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def __eq__(self, other):
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"""Returns true if both objects are equal"""
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if not isinstance(other, V1alpha2PodSchedulingContextSpec):
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return False
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return self.to_dict() == other.to_dict()
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def __ne__(self, other):
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"""Returns true if both objects are not equal"""
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if not isinstance(other, V1alpha2PodSchedulingContextSpec):
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return True
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return self.to_dict() != other.to_dict()
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