






"""simple docstring"""







from __future__ import annotations





def 						lowercase__(A ,		A						)    ->list[list[int]]:




						"""simple docstring"""



						lowercase__    :				list[list[int]]=	[]
						create_all_state(1 ,		__UpperCAmelCase ,		__UpperCAmelCase ,		[] ,		__UpperCAmelCase						)
						return result





def 						lowercase__(A ,		A ,		A ,		A ,		A ,		)    ->None:




						"""simple docstring"""



						if level == 0:
												total_list.append(current_list[:]						)
												return

						for i in range(__UpperCAmelCase ,		total_number - level + 2						):
												current_list.append(__UpperCAmelCase						)
												create_all_state(i + 1 ,		__UpperCAmelCase ,		level - 1 ,		__UpperCAmelCase ,		__UpperCAmelCase						)
												current_list.pop()





def 						lowercase__(A						)    ->None:




						"""simple docstring"""



						for i in total_list:
												print(*__UpperCAmelCase						)


if __name__ == "__main__":
			a			:    Optional[int]				 =		4
			a			:    Tuple				 =		2
			a			:    List[Any]				 =		generate_all_combinations(n, k)
			print_all_state(total_list)














"""simple docstring"""







from pathlib import Path

import fire
from tqdm import tqdm





def 						lowercase__(A="ro" ,		A="en" ,		A="wmt16" ,		A=None						)    ->None:




						"""simple docstring"""



						try:
												import datasets
						except (ModuleNotFoundError, ImportError):
												raise ImportError("run pip install datasets"						)
						lowercase__    :				int=	f'''{src_lang}-{tgt_lang}'''
						print(f'''Converting {dataset}-{pair}'''						)
						lowercase__    :				List[Any]=	datasets.load_dataset(A ,		A						)
						if save_dir is None:
												lowercase__    :				Union[str, Any]=	f'''{dataset}-{pair}'''
						lowercase__    :				str=	Path(A						)
						save_dir.mkdir(exist_ok=A						)

						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
												lowercase__    :				Any=	"val" if split == "validation" else split
												lowercase__    :				List[Any]=	save_dir.joinpath(f'''{fn}.source'''						)
												lowercase__    :				Optional[Any]=	save_dir.joinpath(f'''{fn}.target'''						)
												lowercase__    :				Optional[int]=	src_path.open("w+"						)
												lowercase__    :				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]						):
																		lowercase__    :				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)






