



from pathlib import Path

import fire
from tqdm import tqdm



def 			_lowerCAmelCase       (					__lowerCAmelCase="ro"  ,  __lowerCAmelCase="en"  ,  __lowerCAmelCase="wmt16"  ,  __lowerCAmelCase=None      )   ->					None:


				"""simple docstring"""

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

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

from .binary_exp_mod import bin_exp_mod



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase=1000      )   ->					str:


				"""simple docstring"""

				if n < 2:
								return False

				if n % 2 == 0:
								return n == 2

				# this means n is odd
				snake_case__	:      Tuple     		=	n - 1
				snake_case__	:      Tuple     		=	0
				while d % 2 == 0:
								d /= 2
								exp += 1

				# n - 1=d*(2**exp)
				snake_case__	:      List[str]     		=	0
				while count < prec:
								snake_case__	:      List[str]     		=	random.randint(2  ,  n - 1      )
								snake_case__	:      Optional[Any]     		=	bin_exp_mod(__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase      )
								if b != 1:
												snake_case__	:      List[Any]     		=	True
												for _ in range(__lowerCAmelCase      ):
																if b == n - 1:
																				snake_case__	:      List[str]     		=	False
																				break
																snake_case__	:      str     		=	b * b
																b %= n
												if flag:
																return False
												count += 1
				return True


if __name__ == "__main__":
				A__								=						abs(int(input('''Enter bound : ''').strip()))
				print('''Here\'s the list of primes:''')
				print(''', '''.join(str(i) for i in range(n + 1) if is_prime_big(i)))

