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v1_scheduling.py151 linesDownload Raw Back to models
1# coding: utf-82 3"""4    Kubernetes5 6    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)  # noqa: E5017 8    The version of the OpenAPI document: release-1.359    Generated by: https://openapi-generator.tech10"""11 12 13import pprint14import re  # noqa: F40115 16import six17 18from kubernetes.client.configuration import Configuration19 20 21class V1Scheduling(object):22    """NOTE: This class is auto generated by OpenAPI Generator.23    Ref: https://openapi-generator.tech24 25    Do not edit the class manually.26    """27 28    """29    Attributes:30      openapi_types (dict): The key is attribute name31                            and the value is attribute type.32      attribute_map (dict): The key is attribute name33                            and the value is json key in definition.34    """35    openapi_types = {36        'node_selector': 'dict(str, str)',37        'tolerations': 'list[V1Toleration]'38    }39 40    attribute_map = {41        'node_selector': 'nodeSelector',42        'tolerations': 'tolerations'43    }44 45    def __init__(self, node_selector=None, tolerations=None, local_vars_configuration=None):  # noqa: E50146        """V1Scheduling - a model defined in OpenAPI"""  # noqa: E50147        if local_vars_configuration is None:48            local_vars_configuration = Configuration()49        self.local_vars_configuration = local_vars_configuration50 51        self._node_selector = None52        self._tolerations = None53        self.discriminator = None54 55        if node_selector is not None:56            self.node_selector = node_selector57        if tolerations is not None:58            self.tolerations = tolerations59 60    @property61    def node_selector(self):62        """Gets the node_selector of this V1Scheduling.  # noqa: E50163 64        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: E50165 66        :return: The node_selector of this V1Scheduling.  # noqa: E50167        :rtype: dict(str, str)68        """69        return self._node_selector70 71    @node_selector.setter72    def node_selector(self, node_selector):73        """Sets the node_selector of this V1Scheduling.74 75        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: E50176 77        :param node_selector: The node_selector of this V1Scheduling.  # noqa: E50178        :type: dict(str, str)79        """80 81        self._node_selector = node_selector82 83    @property84    def tolerations(self):85        """Gets the tolerations of this V1Scheduling.  # noqa: E50186 87        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: E50188 89        :return: The tolerations of this V1Scheduling.  # noqa: E50190        :rtype: list[V1Toleration]91        """92        return self._tolerations93 94    @tolerations.setter95    def tolerations(self, tolerations):96        """Sets the tolerations of this V1Scheduling.97 98        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: E50199 100        :param tolerations: The tolerations of this V1Scheduling.  # noqa: E501101        :type: list[V1Toleration]102        """103 104        self._tolerations = tolerations105 106    def to_dict(self):107        """Returns the model properties as a dict"""108        result = {}109 110        for attr, _ in six.iteritems(self.openapi_types):111            value = getattr(self, attr)112            if isinstance(value, list):113                result[attr] = list(map(114                    lambda x: x.to_dict() if hasattr(x, "to_dict") else x,115                    value116                ))117            elif hasattr(value, "to_dict"):118                result[attr] = value.to_dict()119            elif isinstance(value, dict):120                result[attr] = dict(map(121                    lambda item: (item[0], item[1].to_dict())122                    if hasattr(item[1], "to_dict") else item,123                    value.items()124                ))125            else:126                result[attr] = value127 128        return result129 130    def to_str(self):131        """Returns the string representation of the model"""132        return pprint.pformat(self.to_dict())133 134    def __repr__(self):135        """For `print` and `pprint`"""136        return self.to_str()137 138    def __eq__(self, other):139        """Returns true if both objects are equal"""140        if not isinstance(other, V1Scheduling):141            return False142 143        return self.to_dict() == other.to_dict()144 145    def __ne__(self, other):146        """Returns true if both objects are not equal"""147        if not isinstance(other, V1Scheduling):148            return True149 150        return self.to_dict() != other.to_dict()151 
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