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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 PipelineStepConfigurationDetails(object): """ The configuration details of a step. """ def __init__(self, **kwargs): """ Initializes a new PipelineStepConfigurationDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param maximum_runtime_in_minutes: The value to assign to the maximum_runtime_in_minutes property of this PipelineStepConfigurationDetails. :type maximum_runtime_in_minutes: int :param environment_variables: The value to assign to the environment_variables property of this PipelineStepConfigurationDetails. :type environment_variables: dict(str, str) :param command_line_arguments: The value to assign to the command_line_arguments property of this PipelineStepConfigurationDetails. :type command_line_arguments: str """ self.swagger_types = { 'maximum_runtime_in_minutes': 'int', 'environment_variables': 'dict(str, str)', 'command_line_arguments': 'str' } self.attribute_map = { 'maximum_runtime_in_minutes': 'maximumRuntimeInMinutes', 'environment_variables': 'environmentVariables', 'command_line_arguments': 'commandLineArguments' } self._maximum_runtime_in_minutes = None self._environment_variables = None self._command_line_arguments = None @property def maximum_runtime_in_minutes(self): """ Gets the maximum_runtime_in_minutes of this PipelineStepConfigurationDetails. A time bound for the execution of the step. :return: The maximum_runtime_in_minutes of this PipelineStepConfigurationDetails. :rtype: int """ return self._maximum_runtime_in_minutes @maximum_runtime_in_minutes.setter def maximum_runtime_in_minutes(self, maximum_runtime_in_minutes): """ Sets the maximum_runtime_in_minutes of this PipelineStepConfigurationDetails. A time bound for the execution of the step. :param maximum_runtime_in_minutes: The maximum_runtime_in_minutes of this PipelineStepConfigurationDetails. :type: int """ self._maximum_runtime_in_minutes = maximum_runtime_in_minutes @property def environment_variables(self): """ Gets the environment_variables of this PipelineStepConfigurationDetails. Environment variables to set for step. :return: The environment_variables of this PipelineStepConfigurationDetails. :rtype: dict(str, str) """ return self._environment_variables @environment_variables.setter def environment_variables(self, environment_variables): """ Sets the environment_variables of this PipelineStepConfigurationDetails. Environment variables to set for step. :param environment_variables: The environment_variables of this PipelineStepConfigurationDetails. :type: dict(str, str) """ self._environment_variables = environment_variables @property def command_line_arguments(self): """ Gets the command_line_arguments of this PipelineStepConfigurationDetails. The command line arguments to set for step. :return: The command_line_arguments of this PipelineStepConfigurationDetails. :rtype: str """ return self._command_line_arguments @command_line_arguments.setter def command_line_arguments(self, command_line_arguments): """ Sets the command_line_arguments of this PipelineStepConfigurationDetails. The command line arguments to set for step. :param command_line_arguments: The command_line_arguments of this PipelineStepConfigurationDetails. :type: str """ self._command_line_arguments = command_line_arguments 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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