# coding: utf-8

"""
    Kubernetes

    No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)

    OpenAPI spec version: v1.7.4
    
    Generated by: https://github.com/swagger-api/swagger-codegen.git
"""


from pprint import pformat
from six import iteritems
import re


class V1NodeAffinity(object):
    """
    NOTE: This class is auto generated by the swagger code generator program.
    Do not edit the class manually.
    """
    def __init__(self, preferred_during_scheduling_ignored_during_execution=None, required_during_scheduling_ignored_during_execution=None):
        """
        V1NodeAffinity - 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 = {
            'preferred_during_scheduling_ignored_during_execution': 'list[V1PreferredSchedulingTerm]',
            'required_during_scheduling_ignored_during_execution': 'V1NodeSelector'
        }

        self.attribute_map = {
            'preferred_during_scheduling_ignored_during_execution': 'preferredDuringSchedulingIgnoredDuringExecution',
            'required_during_scheduling_ignored_during_execution': 'requiredDuringSchedulingIgnoredDuringExecution'
        }

        self._preferred_during_scheduling_ignored_during_execution = preferred_during_scheduling_ignored_during_execution
        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 V1NodeAffinity.
        The scheduler will prefer to schedule pods to nodes that satisfy the 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 affinity expressions, etc.), compute a sum by iterating through the elements of this field and adding \"weight\" to the sum if the node matches the corresponding matchExpressions; the node(s) with the highest sum are the most preferred.

        :return: The preferred_during_scheduling_ignored_during_execution of this V1NodeAffinity.
        :rtype: list[V1PreferredSchedulingTerm]
        """
        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 V1NodeAffinity.
        The scheduler will prefer to schedule pods to nodes that satisfy the 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 affinity expressions, etc.), compute a sum by iterating through the elements of this field and adding \"weight\" to the sum if the node matches the corresponding matchExpressions; 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 V1NodeAffinity.
        :type: list[V1PreferredSchedulingTerm]
        """

        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 V1NodeAffinity.
        If the affinity requirements specified by this field are not met at scheduling time, the pod will not be scheduled onto the node. If the affinity requirements specified by this field cease to be met at some point during pod execution (e.g. due to an update), the system may or may not try to eventually evict the pod from its node.

        :return: The required_during_scheduling_ignored_during_execution of this V1NodeAffinity.
        :rtype: V1NodeSelector
        """
        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 V1NodeAffinity.
        If the affinity requirements specified by this field are not met at scheduling time, the pod will not be scheduled onto the node. If the affinity requirements specified by this field cease to be met at some point during pod execution (e.g. due to an update), the system may or may not try to eventually evict the pod from its node.

        :param required_during_scheduling_ignored_during_execution: The required_during_scheduling_ignored_during_execution of this V1NodeAffinity.
        :type: V1NodeSelector
        """

        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, V1NodeAffinity):
            return False

        return self.__dict__ == other.__dict__

    def __ne__(self, other):
        """
        Returns true if both objects are not equal
        """
        return not self == other