"""simple docstring"""






import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


lowerCAmelCase__						:						Optional[int]		  =			logging.getLogger(__name__)
@dataclass
@add_start_docstrings(TrainingArguments.__doc__       )
class        snake_case (				__lowerCAmelCase       ):




		"""simple docstring"""

		snake_case__       					=				field(default=__lowerCAmelCase   ,					metadata={"help": "Whether to use SortishSampler or not."}       )
		snake_case__       					=				field(
		    default=__lowerCAmelCase   ,					metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}       )
		snake_case__       					=				field(
		    default=__lowerCAmelCase   ,					metadata={
		        "help": (
		            "The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default "
		            "to the `max_length` value of the model configuration."
		        )
		    }   ,					)
		snake_case__       					=				field(
		    default=__lowerCAmelCase   ,					metadata={
		        "help": (
		            "The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default "
		            "to the `num_beams` value of the model configuration."
		        )
		    }   ,					)
		snake_case__       					=				field(
		    default=__lowerCAmelCase   ,					metadata={
		        "help": "Model id, file path or url pointing to a GenerationConfig json file, to use during prediction."
		    }   ,					)







		def 	__lowerCAmelCase		(       self     :			str    ):
						UpperCAmelCase__    =							super().to_dict()
						for k, v in d.items():
										if isinstance(_UpperCamelCase					,_UpperCamelCase    ):
														UpperCAmelCase__    =							v.to_dict()
						return d




"""simple docstring"""






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# 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.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


lowerCAmelCase__						:						Dict		  =			'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'



def 						a_		(      ):
				UpperCAmelCase__    =							_ask_options(
				    'In which compute environment are you running?'      ,    ['This machine', 'AWS (Amazon SageMaker)']      ,    _convert_compute_environment      ,    )
				if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
								UpperCAmelCase__    =							get_sagemaker_input()
				else:
								UpperCAmelCase__    =							get_cluster_input()
				return config



def 						a_		(      lowerCamelCase=None ):
				if subparsers is not None:
								UpperCAmelCase__    =							subparsers.add_parser('config'      ,    description=lowerCamelCase )
				else:
								UpperCAmelCase__    =							argparse.ArgumentParser('Accelerate config command'      ,    description=lowerCamelCase )

				parser.add_argument(
				    '--config_file'      ,    default=lowerCamelCase      ,    help=(
				        'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
				        'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
				        'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
				        'with \'huggingface\'.'
				    )      ,    )

				if subparsers is not None:
								parser.set_defaults(func=lowerCamelCase )
				return parser



def 						a_		(      lowerCamelCase ):
				UpperCAmelCase__    =							get_user_input()
				if args.config_file is not None:
								UpperCAmelCase__    =							args.config_file
				else:
								if not os.path.isdir(lowerCamelCase ):
												os.makedirs(lowerCamelCase )
								UpperCAmelCase__    =							default_yaml_config_file

				if config_file.endswith('.json' ):
								config.to_json_file(lowerCamelCase )
				else:
								config.to_yaml_file(lowerCamelCase )
				print(f'''accelerate configuration saved at {config_file}''' )



def 						a_		(      ):
				UpperCAmelCase__    =							config_command_parser()
				UpperCAmelCase__    =							parser.parse_args()
				config_command(lowerCamelCase )


if __name__ == "__main__":
						main()



