
"""simple docstring"""



from pathlib import Path

import fire
from tqdm import tqdm






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					List[str]="ro"     ,  SCREAMING_SNAKE_CASE:					Dict="en"     ,  SCREAMING_SNAKE_CASE:					Optional[Any]="wmt16"     ,  SCREAMING_SNAKE_CASE:					Any=None						):






							"""simple docstring"""



							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(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							if save_dir is None:
														_lowerCAmelCase  	=			f"""{dataset}-{pair}"""
							_lowerCAmelCase  	=			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
														_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)








"""simple docstring"""



def 	__snake_case  (    SCREAMING_SNAKE_CASE:					list[int]						):






							"""simple docstring"""



							_lowerCAmelCase  	=			[]
							if len(SCREAMING_SNAKE_CASE						) == 1:
														return [nums.copy()]
							for _ in range(len(SCREAMING_SNAKE_CASE						)						):
														_lowerCAmelCase  	=			nums.pop(0						)
														_lowerCAmelCase  	=			permute(SCREAMING_SNAKE_CASE						)
														for perm in permutations:
																					perm.append(SCREAMING_SNAKE_CASE						)
														result.extend(SCREAMING_SNAKE_CASE						)
														nums.append(SCREAMING_SNAKE_CASE						)
							return result






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Any						):






							"""simple docstring"""



							def backtrack(SCREAMING_SNAKE_CASE:					Tuple						):
														if start == len(SCREAMING_SNAKE_CASE						) - 1:
																					output.append(nums[:]						)
														else:
																					for i in range(SCREAMING_SNAKE_CASE     ,  len(SCREAMING_SNAKE_CASE						)						):
																												_lowerCAmelCase	,		_lowerCAmelCase  	=			nums[i], nums[start]
																												backtrack(start + 1						)
																												_lowerCAmelCase	,		_lowerCAmelCase  	=			nums[i], nums[start]  # backtrack

							_lowerCAmelCase  	=			[]
							backtrack(0						)
							return output


if __name__ == "__main__":
	import doctest

	# use res to print the data in permute2 function
	_snake_case          =						permutea([1, 2, 3])
	print(res)
	doctest.testmod()






