





from pathlib import Path

import fire
from tqdm import tqdm





def      _lowercase					(						_UpperCAmelCase="ro"			,      _UpperCAmelCase="en"			,      _UpperCAmelCase="wmt16"			,      _UpperCAmelCase=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(__UpperCamelCase			,      __UpperCamelCase				)
	if save_dir is None:
		lowerCamelCase	 =F"""{dataset}-{pair}"""
	lowerCamelCase	 =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
		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)












def      _lowercase					(						_UpperCAmelCase			,      _UpperCAmelCase				)						->  list[str]:
				return [sentence[i : i + ngram_size] for i in range(len(_UpperCAmelCase				) - ngram_size + 1				)]


if __name__ == "__main__":
							from doctest import testmod

							testmod()





