

'''simple docstring'''




import math




def 						UpperCamelCase	(			a			)				->     list:






     '''simple docstring'''
     __magic_name__						       =    [True] * n
     __magic_name__						       =    False
     __magic_name__						       =    False
     __magic_name__						       =    True

     for i in range(3		,						int(n**0.5 + 1			)		,						2			):
          __magic_name__						       =    i * 2
          while index < n:
               __magic_name__						       =    False
               __magic_name__						       =    index + i

     __magic_name__						       =    [2]

     for i in range(3		,						a		,						2			):
          if is_prime[i]:
               primes.append(a			)

     return primes




def 						UpperCamelCase	(			a = 9999_6666_3333			)				->     int:






     '''simple docstring'''
     __magic_name__						       =    math.floor(math.sqrt(a			)			) + 100
     __magic_name__						       =    prime_sieve(a			)

     __magic_name__						       =    0
     __magic_name__						       =    0
     __magic_name__						       =    primes[prime_index]

     while (last_prime**2) <= limit:
          __magic_name__						       =    primes[prime_index + 1]

          __magic_name__						       =    last_prime**2
          __magic_name__						       =    next_prime**2

          # Get numbers divisible by lps(current)
          __magic_name__						       =    lower_bound + last_prime
          while upper_bound > current <= limit:
               matches_sum += current
               current += last_prime

          # Reset the upper_bound
          while (upper_bound - next_prime) > limit:
               upper_bound -= next_prime

          # Add the numbers divisible by ups(current)
          __magic_name__						       =    upper_bound - next_prime
          while current > lower_bound:
               matches_sum += current
               current -= next_prime

          # Remove the numbers divisible by both ups and lps
          __magic_name__						       =    0
          while upper_bound > current <= limit:
               if current <= lower_bound:
                    # Increment the current number
                    current += last_prime * next_prime
                    continue

               if current > limit:
                    break

               # Remove twice since it was added by both ups and lps
               matches_sum -= current * 2

               # Increment the current number
               current += last_prime * next_prime

          # Setup for next pair
          __magic_name__						       =    next_prime
          prime_index += 1

     return matches_sum


if __name__ == "__main__":
      print(solution())









'''simple docstring'''




from pathlib import Path

import fire
from tqdm import tqdm




def 						UpperCamelCase	(			a="ro"		,						a="en"		,						a="wmt16"		,						a=None			)				->     None:






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






