


"""simple docstring"""







def  a__      (    SCREAMING_SNAKE_CASE   :   int    ):


  '''simple docstring'''







  lowerCAmelCase					:					Any								=							int(lowerCAmelCase__    )
  if n_element < 1:
    lowerCAmelCase					:					Optional[Any]								=							ValueError("a should be a positive number"    )
    raise my_error

  lowerCAmelCase					:					int								=							[1]
  lowerCAmelCase					:					Optional[int]								=							(0, 0, 0)
  lowerCAmelCase					:					int								=							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"""







from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__				    =       {'''configuration_van''': ['''VAN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VanConfig''']}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase__				    =       [
         '''VAN_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''VanForImageClassification''',
         '''VanModel''',
         '''VanPreTrainedModel''',
     ]

if TYPE_CHECKING:
     from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_van import (
              VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
              VanForImageClassification,
              VanModel,
              VanPreTrainedModel,
          )

else:
     import sys

     lowerCAmelCase__				    =       _LazyModule(__name__, globals()['''__file__'''], _import_structure)





