
"""simple docstring"""




from pathlib import Path

import fire
from tqdm import tqdm



def 							_lowerCamelCase			(			__a="ro",				__a="en",				__a="wmt16",				__a=None     ):
		try:
				import datasets
		except (ModuleNotFoundError, ImportError):
				raise ImportError('''run pip install datasets'''     )
		SCREAMING_SNAKE_CASE_    			=			F'{src_lang}-{tgt_lang}'
		print(F'Converting {dataset}-{pair}'     )
		SCREAMING_SNAKE_CASE_    			=			datasets.load_dataset(__a,				__a     )
		if save_dir is None:
				SCREAMING_SNAKE_CASE_    			=			F'{dataset}-{pair}'
		SCREAMING_SNAKE_CASE_    			=			Path(__a     )
		save_dir.mkdir(exist_ok=__a     )

		for split in ds.keys():
				print(F'Splitting {split} with {ds[split].num_rows} records'     )

				# to save to val.source, val.target like summary datasets
				SCREAMING_SNAKE_CASE_    			=			'''val''' if split == '''validation''' else split
				SCREAMING_SNAKE_CASE_    			=			save_dir.joinpath(F'{fn}.source'     )
				SCREAMING_SNAKE_CASE_    			=			save_dir.joinpath(F'{fn}.target'     )
				SCREAMING_SNAKE_CASE_    			=			src_path.open('''w+'''     )
				SCREAMING_SNAKE_CASE_    			=			tgt_path.open('''w+'''     )

				# reader is the bottleneck so writing one record at a time doesn't slow things down
				for x in tqdm(ds[split]     ):
						SCREAMING_SNAKE_CASE_    			=			x['''translation''']
						src_fp.write(ex[src_lang] + '''\n'''     )
						tgt_fp.write(ex[tgt_lang] + '''\n'''     )

		print(F'Saved {dataset} dataset to {save_dir}'     )


if __name__ == "__main__":
						fire.Fire(download_wmt_dataset)

"""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 							_lowerCamelCase			(			__a=None     ):
		if subparsers is not None:
				SCREAMING_SNAKE_CASE_    			=			subparsers.add_parser('''test'''     )
		else:
				SCREAMING_SNAKE_CASE_    			=			argparse.ArgumentParser('''Accelerate test command'''     )

		parser.add_argument(
		    '''--config_file''',				default=__a,				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=__a     )
		return parser



def 							_lowerCamelCase			(			__a     ):
		SCREAMING_SNAKE_CASE_    			=			os.path.sep.join(__file__.split(os.path.sep     )[:-2] + ['''test_utils''', '''scripts''', '''test_script.py''']     )

		if args.config_file is None:
				SCREAMING_SNAKE_CASE_    			=			script_name
		else:
				SCREAMING_SNAKE_CASE_    			=			F'--config_file={args.config_file} {script_name}'

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



def 							_lowerCamelCase			(			):
		SCREAMING_SNAKE_CASE_    			=			test_command_parser()
		SCREAMING_SNAKE_CASE_    			=			parser.parse_args()
		test_command(__a     )


if __name__ == "__main__":
						main()