text: # Copyright 2020 kubeflow.org.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # coding: utf-8
  
  """
      KFServing
  
      Python SDK for KFServing  # noqa: E501
  
      OpenAPI spec version: v0.1
      
      Generated by: https://github.com/swagger-api/swagger-codegen.git
  """
  
  
  import pprint
  import re  # noqa: F401
  
  import six
  
  from kubernetes.client import V1ResourceRequirements  # noqa: F401,E501
  
  
  class V1alpha2XGBoostSpec(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 = {
          'nthread': 'int',
          'resources': 'V1ResourceRequirements',
          'runtime_version': 'str',
          'storage_uri': 'str'
      }
  
      attribute_map = {
          'nthread': 'nthread',
          'resources': 'resources',
          'runtime_version': 'runtimeVersion',
          'storage_uri': 'storageUri'
      }
  
      def __init__(self, nthread=None, resources=None, runtime_version=None, storage_uri=None):  # noqa: E501
          """V1alpha2XGBoostSpec - a model defined in Swagger"""  # noqa: E501
  
          self._nthread = None
          self._resources = None
          self._runtime_version = None
          self._storage_uri = None
          self.discriminator = None
  
          if nthread is not None:
              self.nthread = nthread
          if resources is not None:
              self.resources = resources
          if runtime_version is not None:
              self.runtime_version = runtime_version
          self.storage_uri = storage_uri
  
      @property
      def nthread(self):
          """Gets the nthread of this V1alpha2XGBoostSpec.  # noqa: E501
  
          Number of thread to be used by XGBoost  # noqa: E501
  
          :return: The nthread of this V1alpha2XGBoostSpec.  # noqa: E501
          :rtype: int
          """
          return self._nthread
  
      @nthread.setter
      def nthread(self, nthread):
          """Sets the nthread of this V1alpha2XGBoostSpec.
  
          Number of thread to be used by XGBoost  # noqa: E501
  
          :param nthread: The nthread of this V1alpha2XGBoostSpec.  # noqa: E501
          :type: int
          """
  
          self._nthread = nthread
  
      @property
      def resources(self):
          """Gets the resources of this V1alpha2XGBoostSpec.  # noqa: E501
  
          Defaults to requests and limits of 1CPU, 2Gb MEM.  # noqa: E501
  
          :return: The resources of this V1alpha2XGBoostSpec.  # noqa: E501
          :rtype: V1ResourceRequirements
          """
          return self._resources
  
      @resources.setter
      def resources(self, resources):
          """Sets the resources of this V1alpha2XGBoostSpec.
  
          Defaults to requests and limits of 1CPU, 2Gb MEM.  # noqa: E501
  
          :param resources: The resources of this V1alpha2XGBoostSpec.  # noqa: E501
          :type: V1ResourceRequirements
          """
  
          self._resources = resources
  
      @property
      def runtime_version(self):
          """Gets the runtime_version of this V1alpha2XGBoostSpec.  # noqa: E501
  
          Allowed runtime versions are specified in the inferenceservice config map  # noqa: E501
  
          :return: The runtime_version of this V1alpha2XGBoostSpec.  # noqa: E501
          :rtype: str
          """
          return self._runtime_version
  
      @runtime_version.setter
      def runtime_version(self, runtime_version):
          """Sets the runtime_version of this V1alpha2XGBoostSpec.
  
          Allowed runtime versions are specified in the inferenceservice config map  # noqa: E501
  
          :param runtime_version: The runtime_version of this V1alpha2XGBoostSpec.  # noqa: E501
          :type: str
          """
  
          self._runtime_version = runtime_version
  
      @property
      def storage_uri(self):
          """Gets the storage_uri of this V1alpha2XGBoostSpec.  # noqa: E501
  
          The location of the trained model  # noqa: E501
  
          :return: The storage_uri of this V1alpha2XGBoostSpec.  # noqa: E501
          :rtype: str
          """
          return self._storage_uri
  
      @storage_uri.setter
      def storage_uri(self, storage_uri):
          """Sets the storage_uri of this V1alpha2XGBoostSpec.
  
          The location of the trained model  # noqa: E501
  
          :param storage_uri: The storage_uri of this V1alpha2XGBoostSpec.  # noqa: E501
          :type: str
          """
          if storage_uri is None:
              raise ValueError("Invalid value for `storage_uri`, must not be `None`")  # noqa: E501
  
          self._storage_uri = storage_uri
  
      def to_dict(self):
          """Returns the model properties as a dict"""
          result = {}
  
          for attr, _ in six.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
          if issubclass(V1alpha2XGBoostSpec, dict):
              for key, value in self.items():
                  result[key] = 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, V1alpha2XGBoostSpec):
              return False
  
          return self.__dict__ == other.__dict__
  
      def __ne__(self, other):
          """Returns true if both objects are not equal"""
          return not self == other
  