from pathlib import Path

import fire
from tqdm import tqdm

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  List[str]="ro"  ,      lowerCAmelCase:  Union[str, Any]="en"  ,      lowerCAmelCase:  List[Any]="wmt16"  ,      lowerCAmelCase:  Optional[int]=None )   ->       None:
				try:
								import datasets
				except (ModuleNotFoundError, ImportError):
								raise ImportError("run pip install datasets" )
				_UpperCAmelCase       :		List[str] 		=    F'{src_lang}-{tgt_lang}'
				print(F'Converting {dataset}-{pair}' )
				_UpperCAmelCase       :		Dict 		=    datasets.load_dataset(__UpperCamelCase  ,      __UpperCamelCase )
				if save_dir is None:
								_UpperCAmelCase       :		Tuple 		=    F'{dataset}-{pair}'
				_UpperCAmelCase       :		Union[str, Any] 		=    Path(__UpperCamelCase )
				save_dir.mkdir(exist_ok=__UpperCamelCase )

				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
								_UpperCAmelCase       :		str 		=    "val" if split == "validation" else split
								_UpperCAmelCase       :		Dict 		=    save_dir.joinpath(F'{fn}.source' )
								_UpperCAmelCase       :		Union[str, Any] 		=    save_dir.joinpath(F'{fn}.target' )
								_UpperCAmelCase       :		Union[str, Any] 		=    src_path.open("w+" )
								_UpperCAmelCase       :		Union[str, Any] 		=    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] ):
												_UpperCAmelCase       :		Optional[Any] 		=    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)





def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  str  ,      lowerCAmelCase:  str )   ->       int:
				if len(lowerCAmelCase ) != len(lowerCAmelCase ):
								raise ValueError("String lengths must match!" )

				_UpperCAmelCase       :		List[Any] 		=    0

				for chara, chara in zip(lowerCAmelCase  ,      lowerCAmelCase ):
								if chara != chara:
												count += 1

				return count


if __name__ == "__main__":
					import doctest

					doctest.testmod()


