



'''simple docstring'''






def       lowerCamelCase__       (						_A = 100_0000				):
  a						:					Any        =     1
  a						:					Tuple        =     1
  a						:					Optional[Any]        =     {1: 1}

  for inputa in range(2 ,			A__				):
    a						:					Any        =     0
    a						:					List[Any]        =     inputa

    while True:
      if number in counters:
        counter += counters[number]
        break
      if number % 2 == 0:
        number //= 2
        counter += 1
      else:
        a						:					Dict        =     (3 * number) + 1
        counter += 1

    if inputa not in counters:
      a						:					List[str]        =     counter

    if counter > pre_counter:
      a						:					str        =     inputa
      a						:					int        =     counter
  return largest_number


if __name__ == "__main__":
     print(solution(int(input().strip())))




'''simple docstring'''


from typing import TYPE_CHECKING

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


_lowerCamelCase	:       List[Any]      	=	{
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowerCamelCase	:       int      	=	[
       "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
       "M2M100ForConditionalGeneration",
       "M2M100Model",
       "M2M100PreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
   from .tokenization_mam_aaa import MaMaaaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mam_aaa import (
          M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaMaaaForConditionalGeneration,
          MaMaaaModel,
          MaMaaaPreTrainedModel,
      )


else:
   import sys

   _lowerCamelCase	:       Optional[int]      	=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

