



from pathlib import Path

import fire
from tqdm import tqdm

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			List[str]="ro"				,     _SCREAMING_SNAKE_CASE       :			List[str]="en"				,     _SCREAMING_SNAKE_CASE       :			Union[str, Any]="wmt16"				,     _SCREAMING_SNAKE_CASE       :			int=None    ):
				"""simple docstring"""







				try:
								import datasets
				except (ModuleNotFoundError, ImportError):
								raise ImportError("""run pip install datasets"""    )
				__a       =		f"{src_lang}-{tgt_lang}"
				print(f"Converting {dataset}-{pair}"    )
				__a       =		datasets.load_dataset(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )
				if save_dir is None:
								__a       =		f"{dataset}-{pair}"
				__a       =		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
								__a       =		"""val""" if split == """validation""" else split
								__a       =		save_dir.joinpath(f"{fn}.source"    )
								__a       =		save_dir.joinpath(f"{fn}.target"    )
								__a       =		src_path.open("""w+"""    )
								__a       =		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]    ):
												__a       =		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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Tuple				,     _SCREAMING_SNAKE_CASE       :			Tuple				,     _SCREAMING_SNAKE_CASE       :			Tuple=False    ):
				"""simple docstring"""







				if isinstance(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    ) and isinstance(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    ):
								__a       =		len(set_a.intersection(_SCREAMING_SNAKE_CASE    )    )

								if alternative_union:
												__a       =		len(_SCREAMING_SNAKE_CASE    ) + len(_SCREAMING_SNAKE_CASE    )
								else:
												__a       =		len(set_a.union(_SCREAMING_SNAKE_CASE    )    )

								return intersection / union

				if isinstance(_SCREAMING_SNAKE_CASE				,     (list, tuple)    ) and isinstance(_SCREAMING_SNAKE_CASE				,     (list, tuple)    ):
								__a       =		[element for element in set_a if element in set_b]

								if alternative_union:
												__a       =		len(_SCREAMING_SNAKE_CASE    ) + len(_SCREAMING_SNAKE_CASE    )
												return len(_SCREAMING_SNAKE_CASE    ) / union
								else:
												__a       =		set_a + [element for element in set_b if element not in set_a]
												return len(_SCREAMING_SNAKE_CASE    ) / len(_SCREAMING_SNAKE_CASE    )

								return len(_SCREAMING_SNAKE_CASE    ) / len(_SCREAMING_SNAKE_CASE    )
				return None


if __name__ == "__main__":
						lowerCamelCase__			= {"""a""", """b""", """c""", """d""", """e"""}
						lowerCamelCase__			= {"""c""", """d""", """e""", """f""", """h""", """i"""}
						print(jaccard_similarity(set_a, set_b))
