/usr/lib/python2.7/dist-packages/kubernetes/client/models/v2alpha1_resource_metric_source.py is in python-kubernetes 2.0.0-2ubuntu1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.6.3
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V2alpha1ResourceMetricSource(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, name=None, target_average_utilization=None, target_average_value=None):
"""
V2alpha1ResourceMetricSource - a model defined in Swagger
:param dict swaggerTypes: The key is attribute name
and the value is attribute type.
:param dict attributeMap: The key is attribute name
and the value is json key in definition.
"""
self.swagger_types = {
'name': 'str',
'target_average_utilization': 'int',
'target_average_value': 'str'
}
self.attribute_map = {
'name': 'name',
'target_average_utilization': 'targetAverageUtilization',
'target_average_value': 'targetAverageValue'
}
self._name = name
self._target_average_utilization = target_average_utilization
self._target_average_value = target_average_value
@property
def name(self):
"""
Gets the name of this V2alpha1ResourceMetricSource.
name is the name of the resource in question.
:return: The name of this V2alpha1ResourceMetricSource.
:rtype: str
"""
return self._name
@name.setter
def name(self, name):
"""
Sets the name of this V2alpha1ResourceMetricSource.
name is the name of the resource in question.
:param name: The name of this V2alpha1ResourceMetricSource.
:type: str
"""
if name is None:
raise ValueError("Invalid value for `name`, must not be `None`")
self._name = name
@property
def target_average_utilization(self):
"""
Gets the target_average_utilization of this V2alpha1ResourceMetricSource.
targetAverageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods.
:return: The target_average_utilization of this V2alpha1ResourceMetricSource.
:rtype: int
"""
return self._target_average_utilization
@target_average_utilization.setter
def target_average_utilization(self, target_average_utilization):
"""
Sets the target_average_utilization of this V2alpha1ResourceMetricSource.
targetAverageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods.
:param target_average_utilization: The target_average_utilization of this V2alpha1ResourceMetricSource.
:type: int
"""
self._target_average_utilization = target_average_utilization
@property
def target_average_value(self):
"""
Gets the target_average_value of this V2alpha1ResourceMetricSource.
targetAverageValue is the the target value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the \"pods\" metric source type.
:return: The target_average_value of this V2alpha1ResourceMetricSource.
:rtype: str
"""
return self._target_average_value
@target_average_value.setter
def target_average_value(self, target_average_value):
"""
Sets the target_average_value of this V2alpha1ResourceMetricSource.
targetAverageValue is the the target value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the \"pods\" metric source type.
:param target_average_value: The target_average_value of this V2alpha1ResourceMetricSource.
:type: str
"""
self._target_average_value = target_average_value
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_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 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
"""
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
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