

from pathlib import Path

import fire
from tqdm import tqdm



def 			_A	(      SCREAMING_SNAKE_CASE="ro"	,SCREAMING_SNAKE_CASE="en"	,SCREAMING_SNAKE_CASE="wmt16"	,SCREAMING_SNAKE_CASE=None      ):
	try:
		import datasets
	except (ModuleNotFoundError, ImportError):
		raise ImportError("run pip install datasets"      )
	UpperCAmelCase__:	Optional[Any]									= f"{src_lang}-{tgt_lang}"
	print(f"Converting {dataset}-{pair}"      )
	UpperCAmelCase__:	List[Any]									= datasets.load_dataset(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE      )
	if save_dir is None:
		UpperCAmelCase__:	Dict									= f"{dataset}-{pair}"
	UpperCAmelCase__:	int									= Path(SCREAMING_SNAKE_CASE      )
	save_dir.mkdir(exist_ok=SCREAMING_SNAKE_CASE      )

	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__:	List[str]									= save_dir.joinpath(f"{fn}.source"      )
		UpperCAmelCase__:	Any									= save_dir.joinpath(f"{fn}.target"      )
		UpperCAmelCase__:	Optional[Any]									= src_path.open("w+"      )
		UpperCAmelCase__:	Optional[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__:	int									= 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)


import fire

from utils import calculate_rouge, save_json



def 			_A	(      SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE=None	,**SCREAMING_SNAKE_CASE      ):
	UpperCAmelCase__:	Tuple									= [x.strip() for x in open(SCREAMING_SNAKE_CASE      ).readlines()]
	UpperCAmelCase__:	Dict									= [x.strip() for x in open(SCREAMING_SNAKE_CASE      ).readlines()][: len(SCREAMING_SNAKE_CASE      )]
	UpperCAmelCase__:	Any									= calculate_rouge(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,**SCREAMING_SNAKE_CASE      )
	if save_path is not None:
		save_json(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,indent=SCREAMING_SNAKE_CASE      )
	return metrics  # these print nicely


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