



def 	UpperCAmelCase__      (      UpperCAmelCase__ :int					):






 '''simple docstring'''

 a						=		int(snake_case__					)
 if n_element < 1:
  a						=		ValueError("a should be a positive number"					)
  raise my_error

 a						=		[1]
 a		,  a		,  a						=		(0, 0, 0)
 a						=		1
 while index < n_element:
  while hamming_list[i] * 2 <= hamming_list[-1]:
   i += 1
  while hamming_list[j] * 3 <= hamming_list[-1]:
   j += 1
  while hamming_list[k] * 5 <= hamming_list[-1]:
   k += 1
  hamming_list.append(
      min(hamming_list[i] * 2 ,					hamming_list[j] * 3 ,					hamming_list[k] * 5					)					)
  index += 1
 return hamming_list


if __name__ == "__main__":
     A_		:     Tuple        =     input('''Enter the last number (nth term) of the Hamming Number Series: ''')
     print('''Formula of Hamming Number Series => 2^i * 3^j * 5^k''')
     A_		:     Union[str, Any]        =     hamming(int(n))
     print('''-----------------------------------------------------''')
     print(F"""The list with nth numbers is: {hamming_numbers}""")
     print('''-----------------------------------------------------''')




import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property



@unittest.skipUnless(os.path.exists(UpperCAmelCase__	),   '''Tatoeba directory does not exist.'''	)
class 		_lowercase		(       unittest.TestCase	):

   @cached_property
   def 		A							(      self			:       List[str]							)       ->				int:


    """simple docstring"""






    a						=		tempfile.mkdtemp()
    return TatoebaConverter(save_dir=__lowerCAmelCase							)

   @slow
   def 		A							(      self			:       Optional[int]							)       ->				List[str]:


    """simple docstring"""






    self.resolver.convert_models(["heb-eng"]							)




   @slow
   def 		A							(      self			:       Dict							)       ->				Any:


    """simple docstring"""






    a		,  a						=		self.resolver.write_model_card("opus-mt-he-en"							,   dry_run=__lowerCAmelCase							)
    assert mmeta["long_pair"] == "heb-eng"

