122 lines
3.5 KiB
Python
122 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 Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
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The version of the OpenAPI document: release-1.32
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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 V1Overhead(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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'pod_fixed': 'dict(str, str)'
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}
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attribute_map = {
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'pod_fixed': 'podFixed'
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}
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def __init__(self, pod_fixed=None, local_vars_configuration=None): # noqa: E501
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"""V1Overhead - 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._pod_fixed = None
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self.discriminator = None
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if pod_fixed is not None:
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self.pod_fixed = pod_fixed
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@property
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def pod_fixed(self):
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"""Gets the pod_fixed of this V1Overhead. # noqa: E501
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podFixed represents the fixed resource overhead associated with running a pod. # noqa: E501
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:return: The pod_fixed of this V1Overhead. # noqa: E501
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:rtype: dict(str, str)
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"""
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return self._pod_fixed
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@pod_fixed.setter
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def pod_fixed(self, pod_fixed):
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"""Sets the pod_fixed of this V1Overhead.
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podFixed represents the fixed resource overhead associated with running a pod. # noqa: E501
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:param pod_fixed: The pod_fixed of this V1Overhead. # noqa: E501
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:type: dict(str, str)
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"""
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self._pod_fixed = pod_fixed
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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, V1Overhead):
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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, V1Overhead):
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return True
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return self.to_dict() != other.to_dict()
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