



"""simple docstring"""







from pathlib import Path

import fire
from tqdm import tqdm

def       _lowerCamelCase				(							UpperCAmelCase_ :       Tuple="ro",	UpperCAmelCase_ :       Any="en",	UpperCAmelCase_ :       List[str]="wmt16",	UpperCAmelCase_ :       Dict=None     )	-> 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(UpperCAmelCase_,	UpperCAmelCase_     )
	if save_dir is None:
		A__											=					F"""{dataset}-{pair}"""
	A__											=					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
		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)








'''simple docstring'''






import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

__UpperCAmelCase       							=				'''python tqdm regex requests packaging filelock numpy tokenizers'''.split()
if sys.version_info < (3, 7):
		pkgs_to_check_at_runtime.append('''dataclasses''')
if sys.version_info < (3, 8):
		pkgs_to_check_at_runtime.append('''importlib_metadata''')

for pkg in pkgs_to_check_at_runtime:
		if pkg in deps:
				if pkg == "tokenizers":
						# must be loaded here, or else tqdm check may fail
						from .utils import is_tokenizers_available

						if not is_tokenizers_available():
								continue  # not required, check version only if installed

				require_version_core(deps[pkg])
		else:
				raise ValueError(f"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")


def    _snake_case  (	A					,       A=None			)		->       Optional[Any]:
							require_version(deps[pkg]					,       A			)