text: #!/usr/bin/python
  #
  # Copyright 2018-2021 Polyaxon, Inc.
  #
  # 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
  
  """
      Polyaxon SDKs and REST API specification.
  
      Polyaxon SDKs and REST API specification.  # noqa: E501
  
      The version of the OpenAPI document: 1.5.2
      Contact: contact@polyaxon.com
      Generated by: https://openapi-generator.tech
  """
  
  
  import pprint
  import re  # noqa: F401
  
  import six
  
  from polyaxon_sdk.configuration import Configuration
  
  
  class V1Bayes(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 = {
          'kind': 'str',
          'params': 'dict(str, object)',
          'num_initial_runs': 'int',
          'max_iterations': 'int',
          'utility_function': 'object',
          'metric': 'V1OptimizationMetric',
          'seed': 'int',
          'concurrency': 'int',
          'container': 'V1Container',
          'early_stopping': 'list[object]'
      }
  
      attribute_map = {
          'kind': 'kind',
          'params': 'params',
          'num_initial_runs': 'num_initial_runs',
          'max_iterations': 'max_iterations',
          'utility_function': 'utility_function',
          'metric': 'metric',
          'seed': 'seed',
          'concurrency': 'concurrency',
          'container': 'container',
          'early_stopping': 'early_stopping'
      }
  
      def __init__(self, kind='bayes', params=None, num_initial_runs=None, max_iterations=None, utility_function=None, metric=None, seed=None, concurrency=None, container=None, early_stopping=None, local_vars_configuration=None):  # noqa: E501
          """V1Bayes - 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._kind = None
          self._params = None
          self._num_initial_runs = None
          self._max_iterations = None
          self._utility_function = None
          self._metric = None
          self._seed = None
          self._concurrency = None
          self._container = None
          self._early_stopping = None
          self.discriminator = None
  
          if kind is not None:
              self.kind = kind
          if params is not None:
              self.params = params
          if num_initial_runs is not None:
              self.num_initial_runs = num_initial_runs
          if max_iterations is not None:
              self.max_iterations = max_iterations
          if utility_function is not None:
              self.utility_function = utility_function
          if metric is not None:
              self.metric = metric
          if seed is not None:
              self.seed = seed
          if concurrency is not None:
              self.concurrency = concurrency
          if container is not None:
              self.container = container
          if early_stopping is not None:
              self.early_stopping = early_stopping
  
      @property
      def kind(self):
          """Gets the kind of this V1Bayes.  # noqa: E501
  
  
          :return: The kind of this V1Bayes.  # noqa: E501
          :rtype: str
          """
          return self._kind
  
      @kind.setter
      def kind(self, kind):
          """Sets the kind of this V1Bayes.
  
  
          :param kind: The kind of this V1Bayes.  # noqa: E501
          :type: str
          """
  
          self._kind = kind
  
      @property
      def params(self):
          """Gets the params of this V1Bayes.  # noqa: E501
  
  
          :return: The params of this V1Bayes.  # noqa: E501
          :rtype: dict(str, object)
          """
          return self._params
  
      @params.setter
      def params(self, params):
          """Sets the params of this V1Bayes.
  
  
          :param params: The params of this V1Bayes.  # noqa: E501
          :type: dict(str, object)
          """
  
          self._params = params
  
      @property
      def num_initial_runs(self):
          """Gets the num_initial_runs of this V1Bayes.  # noqa: E501
  
  
          :return: The num_initial_runs of this V1Bayes.  # noqa: E501
          :rtype: int
          """
          return self._num_initial_runs
  
      @num_initial_runs.setter
      def num_initial_runs(self, num_initial_runs):
          """Sets the num_initial_runs of this V1Bayes.
  
  
          :param num_initial_runs: The num_initial_runs of this V1Bayes.  # noqa: E501
          :type: int
          """
  
          self._num_initial_runs = num_initial_runs
  
      @property
      def max_iterations(self):
          """Gets the max_iterations of this V1Bayes.  # noqa: E501
  
  
          :return: The max_iterations of this V1Bayes.  # noqa: E501
          :rtype: int
          """
          return self._max_iterations
  
      @max_iterations.setter
      def max_iterations(self, max_iterations):
          """Sets the max_iterations of this V1Bayes.
  
  
          :param max_iterations: The max_iterations of this V1Bayes.  # noqa: E501
          :type: int
          """
  
          self._max_iterations = max_iterations
  
      @property
      def utility_function(self):
          """Gets the utility_function of this V1Bayes.  # noqa: E501
  
  
          :return: The utility_function of this V1Bayes.  # noqa: E501
          :rtype: object
          """
          return self._utility_function
  
      @utility_function.setter
      def utility_function(self, utility_function):
          """Sets the utility_function of this V1Bayes.
  
  
          :param utility_function: The utility_function of this V1Bayes.  # noqa: E501
          :type: object
          """
  
          self._utility_function = utility_function
  
      @property
      def metric(self):
          """Gets the metric of this V1Bayes.  # noqa: E501
  
  
          :return: The metric of this V1Bayes.  # noqa: E501
          :rtype: V1OptimizationMetric
          """
          return self._metric
  
      @metric.setter
      def metric(self, metric):
          """Sets the metric of this V1Bayes.
  
  
          :param metric: The metric of this V1Bayes.  # noqa: E501
          :type: V1OptimizationMetric
          """
  
          self._metric = metric
  
      @property
      def seed(self):
          """Gets the seed of this V1Bayes.  # noqa: E501
  
  
          :return: The seed of this V1Bayes.  # noqa: E501
          :rtype: int
          """
          return self._seed
  
      @seed.setter
      def seed(self, seed):
          """Sets the seed of this V1Bayes.
  
  
          :param seed: The seed of this V1Bayes.  # noqa: E501
          :type: int
          """
  
          self._seed = seed
  
      @property
      def concurrency(self):
          """Gets the concurrency of this V1Bayes.  # noqa: E501
  
  
          :return: The concurrency of this V1Bayes.  # noqa: E501
          :rtype: int
          """
          return self._concurrency
  
      @concurrency.setter
      def concurrency(self, concurrency):
          """Sets the concurrency of this V1Bayes.
  
  
          :param concurrency: The concurrency of this V1Bayes.  # noqa: E501
          :type: int
          """
  
          self._concurrency = concurrency
  
      @property
      def container(self):
          """Gets the container of this V1Bayes.  # noqa: E501
  
  
          :return: The container of this V1Bayes.  # noqa: E501
          :rtype: V1Container
          """
          return self._container
  
      @container.setter
      def container(self, container):
          """Sets the container of this V1Bayes.
  
  
          :param container: The container of this V1Bayes.  # noqa: E501
          :type: V1Container
          """
  
          self._container = container
  
      @property
      def early_stopping(self):
          """Gets the early_stopping of this V1Bayes.  # noqa: E501
  
  
          :return: The early_stopping of this V1Bayes.  # noqa: E501
          :rtype: list[object]
          """
          return self._early_stopping
  
      @early_stopping.setter
      def early_stopping(self, early_stopping):
          """Sets the early_stopping of this V1Bayes.
  
  
          :param early_stopping: The early_stopping of this V1Bayes.  # noqa: E501
          :type: list[object]
          """
  
          self._early_stopping = early_stopping
  
      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, V1Bayes):
              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, V1Bayes):
              return True
  
          return self.to_dict() != other.to_dict()
  