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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: 20250228 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 SchedulerJobDimension(object): """ Aggregated summary information for a SchedulerJob. """ def __init__(self, **kwargs): """ Initializes a new SchedulerJobDimension object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param lifecycle_details: The value to assign to the lifecycle_details property of this SchedulerJobDimension. :type lifecycle_details: str """ self.swagger_types = { 'lifecycle_details': 'str' } self.attribute_map = { 'lifecycle_details': 'lifecycleDetails' } self._lifecycle_details = None @property def lifecycle_details(self): """ **[Required]** Gets the lifecycle_details of this SchedulerJobDimension. A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state. :return: The lifecycle_details of this SchedulerJobDimension. :rtype: str """ return self._lifecycle_details @lifecycle_details.setter def lifecycle_details(self, lifecycle_details): """ Sets the lifecycle_details of this SchedulerJobDimension. A message describing the current state in more detail. For example, can be used to provide actionable information for a resource in Failed state. :param lifecycle_details: The lifecycle_details of this SchedulerJobDimension. :type: str """ self._lifecycle_details = lifecycle_details 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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