# 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-1.21
    Generated by: https://openapi-generator.tech
"""


import pprint
import re  # noqa: F401

import six

from kubernetes.client.configuration import Configuration


class V1beta1Scheduling(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 = {
        'node_selector': 'dict(str, str)',
        'tolerations': 'list[V1Toleration]'
    }

    attribute_map = {
        'node_selector': 'nodeSelector',
        'tolerations': 'tolerations'
    }

    def __init__(self, node_selector=None, tolerations=None, local_vars_configuration=None):  # noqa: E501
        """V1beta1Scheduling - 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._node_selector = None
        self._tolerations = None
        self.discriminator = None

        if node_selector is not None:
            self.node_selector = node_selector
        if tolerations is not None:
            self.tolerations = tolerations

    @property
    def node_selector(self):
        """Gets the node_selector of this V1beta1Scheduling.  # noqa: E501

        nodeSelector lists labels that must be present on nodes that support this RuntimeClass. Pods using this RuntimeClass can only be scheduled to a node matched by this selector. The RuntimeClass nodeSelector is merged with a pod's existing nodeSelector. Any conflicts will cause the pod to be rejected in admission.  # noqa: E501

        :return: The node_selector of this V1beta1Scheduling.  # noqa: E501
        :rtype: dict(str, str)
        """
        return self._node_selector

    @node_selector.setter
    def node_selector(self, node_selector):
        """Sets the node_selector of this V1beta1Scheduling.

        nodeSelector lists labels that must be present on nodes that support this RuntimeClass. Pods using this RuntimeClass can only be scheduled to a node matched by this selector. The RuntimeClass nodeSelector is merged with a pod's existing nodeSelector. Any conflicts will cause the pod to be rejected in admission.  # noqa: E501

        :param node_selector: The node_selector of this V1beta1Scheduling.  # noqa: E501
        :type: dict(str, str)
        """

        self._node_selector = node_selector

    @property
    def tolerations(self):
        """Gets the tolerations of this V1beta1Scheduling.  # noqa: E501

        tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.  # noqa: E501

        :return: The tolerations of this V1beta1Scheduling.  # noqa: E501
        :rtype: list[V1Toleration]
        """
        return self._tolerations

    @tolerations.setter
    def tolerations(self, tolerations):
        """Sets the tolerations of this V1beta1Scheduling.

        tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission, effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.  # noqa: E501

        :param tolerations: The tolerations of this V1beta1Scheduling.  # noqa: E501
        :type: list[V1Toleration]
        """

        self._tolerations = tolerations

    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, V1beta1Scheduling):
            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, V1beta1Scheduling):
            return True

        return self.to_dict() != other.to_dict()
