"""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.test_utils import execute_subprocess_async



def 					UpperCamelCase					(       SCREAMING_SNAKE_CASE_=None )      ->Dict:
    if subparsers is not None:
        _lowerCamelCase	: Optional[Any]       =       subparsers.add_parser('''test''' )
    else:
        _lowerCamelCase	: Optional[Any]       =       argparse.ArgumentParser('''Accelerate test command''' )

    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 					UpperCamelCase					(       SCREAMING_SNAKE_CASE_ )      ->Optional[int]:
    _lowerCamelCase	: str       =       os.path.sep.join(__file__.split(os.path.sep )[:-2] + ['''test_utils''', '''scripts''', '''test_script.py'''] )

    if args.config_file is None:
        _lowerCamelCase	: List[Any]       =       script_name
    else:
        _lowerCamelCase	: str       =       F'''--config_file={args.config_file} {script_name}'''

    _lowerCamelCase	: Dict       =       ['''accelerate-launch'''] + test_args.split()
    _lowerCamelCase	: Tuple       =       execute_subprocess_async(lowerCamelCase_						,	env=os.environ.copy() )
    if result.returncode == 0:
        print('''Test is a success! You are ready for your distributed training!''' )



def 					UpperCamelCase					(       )      ->Any:
    _lowerCamelCase	: Union[str, Any]       =       test_command_parser()
    _lowerCamelCase	: List[Any]       =       parser.parse_args()
    test_command(lowerCamelCase_ )


if __name__ == "__main__":
  main()










def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     []
				for data in source_data:
								for i, el in enumerate(lowerCamelCase_							):
												if len(lowerCamelCase_							) < i + 1:
																data_lists.append([]							)
												data_lists[i].append(float(lowerCamelCase_							)							)
				return data_lists






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     []
				for dlist, weight in zip(lowerCamelCase_						,  lowerCamelCase_							):
								lowercase__  					=     min(lowerCamelCase_							)
								lowercase__  					=     max(lowerCamelCase_							)

								lowercase__  					=     []
								# for weight 0 score is 1 - actual score
								if weight == 0:
												for item in dlist:
																try:
																				score.append(1 - ((item - mind) / (maxd - mind))							)
																except ZeroDivisionError:
																				score.append(1							)

								elif weight == 1:
												for item in dlist:
																try:
																				score.append((item - mind) / (maxd - mind)							)
																except ZeroDivisionError:
																				score.append(0							)

        # weight not 0 or 1
								else:
												lowercase__  					=     F"""Invalid weight of {weight:f} provided"""
												raise ValueError(lowerCamelCase_							)

								score_lists.append(lowerCamelCase_							)

				return score_lists






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     [0 for i in range(len(score_lists[0]							)							)]

				for slist in score_lists:
								for j, ele in enumerate(lowerCamelCase_							):
												lowercase__  					=     final_scores[j] + ele

				return final_scores






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     get_data(lowerCamelCase_							)
				lowercase__  					=     calculate_each_score(lowerCamelCase_						,  lowerCamelCase_							)
				lowercase__  					=     generate_final_scores(lowerCamelCase_							)

				# append scores to source data
				for i, ele in enumerate(lowerCamelCase_							):
								source_data[i].append(lowerCamelCase_							)

				return source_data




