
'''simple docstring'''







def 					UpperCAmelCase_		(__a      :    int ):






   """simple docstring"""

   _a				:	int			=   int(__a )
   if n_element < 1:
      _a				:	int			=   ValueError('a should be a positive number' )
      raise my_error

   _a				:	List[Any]			=   [1]
   _a,  _a,  _a				:	Optional[int]			=   (0, 0, 0)
   _a				:	Tuple			=   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__":
  __lowerCAmelCase         =    input("""Enter the last number (nth term) of the Hamming Number Series: """)
  print("""Formula of Hamming Number Series => 2^i * 3^j * 5^k""")
  __lowerCAmelCase         =    hamming(int(n))
  print("""-----------------------------------------------------""")
  print(f'''The list with nth numbers is: {hamming_numbers}''')
  print("""-----------------------------------------------------""")





'''simple docstring'''







import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


__lowerCAmelCase         =    logging.getLogger()







@unittest.skip('''Temporarily disable the doc tests.'''	)
@require_torch
@require_tf
@slow
class UpperCAmelCase__	( unittest.TestCase	):





  """simple docstring"""

  def   __lowercase		(		self      :     str							,_a      :     Path							,_a      :     Union[str, None] = None							,_a      :     Union[List[str], None] = None							,_a      :     Union[str, List[str], None] = None							,_a      :     bool = True							,):


     '''simple docstring'''






     _a				:	Optional[int]			=   [file for file in os.listdir(_a       ) if os.path.isfile(os.path.join(_a							,_a       )       )]

     if identifier is not None:
        _a				:	List[str]			=   [file for file in files if identifier in file]

     if n_identifier is not None:
        if isinstance(_a							,_a       ):
           for n_ in n_identifier:
              _a				:	Tuple			=   [file for file in files if n_ not in file]
        else:
           _a				:	Optional[Any]			=   [file for file in files if n_identifier not in file]

     _a				:	List[str]			=   ignore_files or []
     ignore_files.append('__init__.py'       )
     _a				:	Tuple			=   [file for file in files if file not in ignore_files]

     for file in files:
        # Open all files
        print('Testing'							,_a       )

        if only_modules:
           _a				:	Any			=   file.split('.'       )[0]
           try:
              _a				:	List[str]			=   getattr(_a							,_a       )
              _a				:	int			=   doctest.DocTestSuite(_a       )
              _a				:	Any			=   unittest.TextTestRunner().run(_a       )
              self.assertIs(len(result.failures       )							,0       )
           except AttributeError:
              logger.info(F"""{module_identifier} is not a module."""       )
        else:
           _a				:	Union[str, Any]			=   doctest.testfile(str('..' / directory / file       )							,optionflags=doctest.ELLIPSIS       )
           self.assertIs(result.failed							,0       )


  def   __lowercase		(		self      :     Any       ):


     '''simple docstring'''






     _a				:	int			=   Path('src/transformers'       )
     _a				:	List[Any]			=   'modeling'
     _a				:	Optional[Any]			=   [
         'modeling_ctrl.py',
         'modeling_tf_ctrl.py',
     ]
     self.analyze_directory(_a							,identifier=_a							,ignore_files=_a       )


  def   __lowercase		(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Optional[Any]			=   Path('src/transformers'       )
     _a				:	Optional[Any]			=   'tokenization'
     self.analyze_directory(_a							,identifier=_a       )


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Dict			=   Path('src/transformers'       )
     _a				:	str			=   'configuration'
     self.analyze_directory(_a							,identifier=_a       )


  def   __lowercase		(		self      :     Any       ):


     '''simple docstring'''






     _a				:	Tuple			=   Path('src/transformers'       )
     _a				:	List[Any]			=   ['configuration', 'modeling', 'tokenization']
     self.analyze_directory(_a							,n_identifier=_a       )


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     _a				:	List[Any]			=   Path('docs/source'       )
     _a				:	List[str]			=   ['favicon.ico']
     self.analyze_directory(_a							,ignore_files=_a							,only_modules=_a       )



