from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE :	Optional[Any]							     =		{"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE :	Optional[int]							     =		[
      """IBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """IBertForMaskedLM""",
      """IBertForMultipleChoice""",
      """IBertForQuestionAnswering""",
      """IBertForSequenceClassification""",
      """IBertForTokenClassification""",
      """IBertModel""",
      """IBertPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_ibert import (
        IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
        IBertForMaskedLM,
        IBertForMultipleChoice,
        IBertForQuestionAnswering,
        IBertForSequenceClassification,
        IBertForTokenClassification,
        IBertModel,
        IBertPreTrainedModel,
    )

else:
  import sys

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



def   __A		(			_A = 100_0000					):



 """simple docstring"""


 __a       =  [i - 1 for i in range(limit + 1					)]

 for i in range(2							,				limit + 1					):
  if phi[i] == i - 1:
   for j in range(2 * i							,				limit + 1							,				_A					):
    phi[j] -= phi[j] // i

 return sum(phi[2 : limit + 1]					)


if __name__ == "__main__":
  print(solution())


