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# coding: utf-8 # Copyright (c) 2016, 2026, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20190101 from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class ImplementationLogging(object): """ Configuration of Logging for ML Application Implementation. """ def __init__(self, **kwargs): """ Initializes a new ImplementationLogging object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param implementation_log: The value to assign to the implementation_log property of this ImplementationLogging. :type implementation_log: oci.data_science.models.ImplementationLogDetails :param aggregated_instance_view_log: The value to assign to the aggregated_instance_view_log property of this ImplementationLogging. :type aggregated_instance_view_log: oci.data_science.models.ImplementationLogDetails :param trigger_log: The value to assign to the trigger_log property of this ImplementationLogging. :type trigger_log: oci.data_science.models.ImplementationLogDetails """ self.swagger_types = { 'implementation_log': 'ImplementationLogDetails', 'aggregated_instance_view_log': 'ImplementationLogDetails', 'trigger_log': 'ImplementationLogDetails' } self.attribute_map = { 'implementation_log': 'implementationLog', 'aggregated_instance_view_log': 'aggregatedInstanceViewLog', 'trigger_log': 'triggerLog' } self._implementation_log = None self._aggregated_instance_view_log = None self._trigger_log = None @property def implementation_log(self): """ Gets the implementation_log of this ImplementationLogging. :return: The implementation_log of this ImplementationLogging. :rtype: oci.data_science.models.ImplementationLogDetails """ return self._implementation_log @implementation_log.setter def implementation_log(self, implementation_log): """ Sets the implementation_log of this ImplementationLogging. :param implementation_log: The implementation_log of this ImplementationLogging. :type: oci.data_science.models.ImplementationLogDetails """ self._implementation_log = implementation_log @property def aggregated_instance_view_log(self): """ Gets the aggregated_instance_view_log of this ImplementationLogging. :return: The aggregated_instance_view_log of this ImplementationLogging. :rtype: oci.data_science.models.ImplementationLogDetails """ return self._aggregated_instance_view_log @aggregated_instance_view_log.setter def aggregated_instance_view_log(self, aggregated_instance_view_log): """ Sets the aggregated_instance_view_log of this ImplementationLogging. :param aggregated_instance_view_log: The aggregated_instance_view_log of this ImplementationLogging. :type: oci.data_science.models.ImplementationLogDetails """ self._aggregated_instance_view_log = aggregated_instance_view_log @property def trigger_log(self): """ Gets the trigger_log of this ImplementationLogging. :return: The trigger_log of this ImplementationLogging. :rtype: oci.data_science.models.ImplementationLogDetails """ return self._trigger_log @trigger_log.setter def trigger_log(self, trigger_log): """ Sets the trigger_log of this ImplementationLogging. :param trigger_log: The trigger_log of this ImplementationLogging. :type: oci.data_science.models.ImplementationLogDetails """ self._trigger_log = trigger_log def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other
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