



"""simple docstring"""
from pathlib import Path

import fire
from tqdm import tqdm



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

				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
								_lowerCamelCase        =				'''val''' if split == '''validation''' else split
								_lowerCamelCase        =				save_dir.joinpath(F"""{fn}.source"""							)
								_lowerCamelCase        =				save_dir.joinpath(F"""{fn}.target"""							)
								_lowerCamelCase        =				src_path.open('''w+'''							)
								_lowerCamelCase        =				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]							):
												_lowerCamelCase        =				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"""
import warnings

from .generation import TFGenerationMixin


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					warnings.warn(
					    'Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will '
					    'be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.',				A__,				)
