




def 						SCREAMING_SNAKE_CASE__					(    lowercase     )  ->   list:
   snake_case      :				Dict				=       int(__lowercase     )
   if n_element < 1:
      snake_case      :				int				=       ValueError("""a should be a positive number"""     )
      raise my_error

   snake_case      :				Any				=       [1]
   snake_case	,					snake_case	,					snake_case      :				int				=       (0, 0, 0)
   snake_case      :				Union[str, Any]				=       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       :       Any        =    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       :       Tuple        =    hamming(int(n))
       print('-----------------------------------------------------')
       print(f"""The list with nth numbers is: {hamming_numbers}""")
       print('-----------------------------------------------------')












'''simple docstring'''




import re

from filelock import FileLock


try:
  import nltk

  __SCREAMING_SNAKE_CASE     :Optional[int]       =				True
except (ImportError, ModuleNotFoundError):
  __SCREAMING_SNAKE_CASE     :str       =				False

if NLTK_AVAILABLE:
  with FileLock('''.lock''') as lock:
    nltk.download('''punkt''', quiet=True)
def 	UpperCAmelCase_							(					__lowercase							:      str       )		->       str:


     '''simple docstring'''



     re.sub("<n>"			,     ""			,     __lowercase       )  # remove pegasus newline char
     assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
     return "\n".join(nltk.sent_tokenize(__lowercase       )       )




