File: //snap/google-cloud-cli/394/lib/third_party/kubernetes/client/models/v1_pod_anti_affinity.py
# coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen
https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.14.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V1PodAntiAffinity(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 = {
'preferred_during_scheduling_ignored_during_execution':
'list[V1WeightedPodAffinityTerm]',
'required_during_scheduling_ignored_during_execution':
'list[V1PodAffinityTerm]'
}
attribute_map = {
'preferred_during_scheduling_ignored_during_execution':
'preferredDuringSchedulingIgnoredDuringExecution',
'required_during_scheduling_ignored_during_execution':
'requiredDuringSchedulingIgnoredDuringExecution'
}
def __init__(self,
preferred_during_scheduling_ignored_during_execution=None,
required_during_scheduling_ignored_during_execution=None):
"""
V1PodAntiAffinity - a model defined in Swagger
"""
self._preferred_during_scheduling_ignored_during_execution = None
self._required_during_scheduling_ignored_during_execution = None
self.discriminator = None
if preferred_during_scheduling_ignored_during_execution is not None:
self.preferred_during_scheduling_ignored_during_execution = preferred_during_scheduling_ignored_during_execution
if required_during_scheduling_ignored_during_execution is not None:
self.required_during_scheduling_ignored_during_execution = required_during_scheduling_ignored_during_execution
@property
def preferred_during_scheduling_ignored_during_execution(self):
"""
Gets the preferred_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
The scheduler will prefer to schedule pods to nodes that satisfy the
anti-affinity expressions specified by this field, but it may choose a
node that violates one or more of the expressions. The node that is most
preferred is the one with the greatest sum of weights, i.e. for each
node that meets all of the scheduling requirements (resource request,
requiredDuringScheduling anti-affinity expressions, etc.), compute a sum
by iterating through the elements of this field and adding \"weight\" to
the sum if the node has pods which matches the corresponding
podAffinityTerm; the node(s) with the highest sum are the most
preferred.
:return: The preferred_during_scheduling_ignored_during_execution of
this V1PodAntiAffinity.
:rtype: list[V1WeightedPodAffinityTerm]
"""
return self._preferred_during_scheduling_ignored_during_execution
@preferred_during_scheduling_ignored_during_execution.setter
def preferred_during_scheduling_ignored_during_execution(
self, preferred_during_scheduling_ignored_during_execution):
"""
Sets the preferred_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
The scheduler will prefer to schedule pods to nodes that satisfy the
anti-affinity expressions specified by this field, but it may choose a
node that violates one or more of the expressions. The node that is most
preferred is the one with the greatest sum of weights, i.e. for each
node that meets all of the scheduling requirements (resource request,
requiredDuringScheduling anti-affinity expressions, etc.), compute a sum
by iterating through the elements of this field and adding \"weight\" to
the sum if the node has pods which matches the corresponding
podAffinityTerm; the node(s) with the highest sum are the most
preferred.
:param preferred_during_scheduling_ignored_during_execution: The
preferred_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
:type: list[V1WeightedPodAffinityTerm]
"""
self._preferred_during_scheduling_ignored_during_execution = preferred_during_scheduling_ignored_during_execution
@property
def required_during_scheduling_ignored_during_execution(self):
"""
Gets the required_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
If the anti-affinity requirements specified by this field are not met at
scheduling time, the pod will not be scheduled onto the node. If the
anti-affinity requirements specified by this field cease to be met at
some point during pod execution (e.g. due to a pod label update), the
system may or may not try to eventually evict the pod from its node.
When there are multiple elements, the lists of nodes corresponding to
each podAffinityTerm are intersected, i.e. all terms must be satisfied.
:return: The required_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
:rtype: list[V1PodAffinityTerm]
"""
return self._required_during_scheduling_ignored_during_execution
@required_during_scheduling_ignored_during_execution.setter
def required_during_scheduling_ignored_during_execution(
self, required_during_scheduling_ignored_during_execution):
"""
Sets the required_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
If the anti-affinity requirements specified by this field are not met at
scheduling time, the pod will not be scheduled onto the node. If the
anti-affinity requirements specified by this field cease to be met at
some point during pod execution (e.g. due to a pod label update), the
system may or may not try to eventually evict the pod from its node.
When there are multiple elements, the lists of nodes corresponding to
each podAffinityTerm are intersected, i.e. all terms must be satisfied.
:param required_during_scheduling_ignored_during_execution: The
required_during_scheduling_ignored_during_execution of this
V1PodAntiAffinity.
:type: list[V1PodAffinityTerm]
"""
self._required_during_scheduling_ignored_during_execution = required_during_scheduling_ignored_during_execution
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, V1PodAntiAffinity):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other