python/kubernetes/client/models/v1_preferred_scheduling_term.py
2017-10-09 17:56:32 -07:00

157 lines
4.2 KiB
Python

# coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.8.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V1PreferredSchedulingTerm(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_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.
"""
swagger_types = {
'preference': 'V1NodeSelectorTerm',
'weight': 'int'
}
attribute_map = {
'preference': 'preference',
'weight': 'weight'
}
def __init__(self, preference=None, weight=None):
"""
V1PreferredSchedulingTerm - a model defined in Swagger
"""
self._preference = None
self._weight = None
self.discriminator = None
self.preference = preference
self.weight = weight
@property
def preference(self):
"""
Gets the preference of this V1PreferredSchedulingTerm.
A node selector term, associated with the corresponding weight.
:return: The preference of this V1PreferredSchedulingTerm.
:rtype: V1NodeSelectorTerm
"""
return self._preference
@preference.setter
def preference(self, preference):
"""
Sets the preference of this V1PreferredSchedulingTerm.
A node selector term, associated with the corresponding weight.
:param preference: The preference of this V1PreferredSchedulingTerm.
:type: V1NodeSelectorTerm
"""
if preference is None:
raise ValueError("Invalid value for `preference`, must not be `None`")
self._preference = preference
@property
def weight(self):
"""
Gets the weight of this V1PreferredSchedulingTerm.
Weight associated with matching the corresponding nodeSelectorTerm, in the range 1-100.
:return: The weight of this V1PreferredSchedulingTerm.
:rtype: int
"""
return self._weight
@weight.setter
def weight(self, weight):
"""
Sets the weight of this V1PreferredSchedulingTerm.
Weight associated with matching the corresponding nodeSelectorTerm, in the range 1-100.
:param weight: The weight of this V1PreferredSchedulingTerm.
:type: int
"""
if weight is None:
raise ValueError("Invalid value for `weight`, must not be `None`")
self._weight = weight
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
"""
if not isinstance(other, V1PreferredSchedulingTerm):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other