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# 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-1.16
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from kubernetes.client.configuration import Configuration
class V1alpha1Overhead(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 = {
'pod_fixed': 'dict(str, str)'
}
attribute_map = {
'pod_fixed': 'podFixed'
}
def __init__(self, pod_fixed=None, local_vars_configuration=None): # noqa: E501
"""V1alpha1Overhead - 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._pod_fixed = None
self.discriminator = None
if pod_fixed is not None:
self.pod_fixed = pod_fixed
@property
def pod_fixed(self):
"""Gets the pod_fixed of this V1alpha1Overhead. # noqa: E501
PodFixed represents the fixed resource overhead associated with running a pod. # noqa: E501
:return: The pod_fixed of this V1alpha1Overhead. # noqa: E501
:rtype: dict(str, str)
"""
return self._pod_fixed
@pod_fixed.setter
def pod_fixed(self, pod_fixed):
"""Sets the pod_fixed of this V1alpha1Overhead.
PodFixed represents the fixed resource overhead associated with running a pod. # noqa: E501
:param pod_fixed: The pod_fixed of this V1alpha1Overhead. # noqa: E501
:type: dict(str, str)
"""
self._pod_fixed = pod_fixed
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, V1alpha1Overhead):
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, V1alpha1Overhead):
return True
return self.to_dict() != other.to_dict()
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