128 lines
3.5 KiB
Python
128 lines
3.5 KiB
Python
# coding: utf-8
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"""
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Kubernetes
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No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
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OpenAPI spec version: v1.8.2
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Generated by: https://github.com/swagger-api/swagger-codegen.git
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"""
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from pprint import pformat
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from six import iteritems
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import re
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class V1NodeSelectorTerm(object):
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"""
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NOTE: This class is auto generated by the swagger code generator program.
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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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swagger_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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swagger_types = {
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'match_expressions': 'list[V1NodeSelectorRequirement]'
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}
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attribute_map = {
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'match_expressions': 'matchExpressions'
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}
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def __init__(self, match_expressions=None):
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"""
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V1NodeSelectorTerm - a model defined in Swagger
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"""
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self._match_expressions = None
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self.discriminator = None
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self.match_expressions = match_expressions
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@property
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def match_expressions(self):
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"""
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Gets the match_expressions of this V1NodeSelectorTerm.
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Required. A list of node selector requirements. The requirements are ANDed.
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:return: The match_expressions of this V1NodeSelectorTerm.
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:rtype: list[V1NodeSelectorRequirement]
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"""
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return self._match_expressions
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@match_expressions.setter
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def match_expressions(self, match_expressions):
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"""
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Sets the match_expressions of this V1NodeSelectorTerm.
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Required. A list of node selector requirements. The requirements are ANDed.
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:param match_expressions: The match_expressions of this V1NodeSelectorTerm.
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:type: list[V1NodeSelectorRequirement]
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"""
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if match_expressions is None:
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raise ValueError("Invalid value for `match_expressions`, must not be `None`")
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self._match_expressions = match_expressions
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def to_dict(self):
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"""
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Returns the model properties as a dict
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"""
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result = {}
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for attr, _ in iteritems(self.swagger_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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"""
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Returns the string representation of the model
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"""
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return pformat(self.to_dict())
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def __repr__(self):
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"""
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For `print` and `pprint`
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"""
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return self.to_str()
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def __eq__(self, other):
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"""
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Returns true if both objects are equal
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"""
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if not isinstance(other, V1NodeSelectorTerm):
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return False
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return self.__dict__ == other.__dict__
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def __ne__(self, other):
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"""
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Returns true if both objects are not equal
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"""
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return not self == other
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