'''simple docstring'''


def   A_      (       SCREAMING_SNAKE_CASE_ = 10 ,	SCREAMING_SNAKE_CASE_ = 10_00 ,	SCREAMING_SNAKE_CASE_ = True						)			->int:
  assert (
      isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      and isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      and isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
  ), "Invalid type of value(s) specified to function!"

  if min_val > max_val:
    raise ValueError("""Invalid value for min_val or max_val (min_value < max_value)"""						)
  return min_val if option else max_val

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->int:
  return int((number_a + number_a) / 2						)

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->None:
  assert (
      isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						) and isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						) and isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
  ), 'argument values must be type of "int"'

  if lower > higher:
    raise ValueError("""argument value for lower and higher must be(lower > higher)"""						)

  if not lower < to_guess < higher:
    raise ValueError(
        """guess value must be within the range of lower and higher value"""						)

  def answer(SCREAMING_SNAKE_CASE_						) -> str:
    if number > to_guess:
      return "high"
    elif number < to_guess:
      return "low"
    else:
      return "same"

  print("""started..."""						)

  lowercase_     =       lower
  lowercase_     =       higher

  lowercase_     =       []

  while True:
    lowercase_     =       get_avg(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
    last_numbers.append(SCREAMING_SNAKE_CASE_						)

    if answer(SCREAMING_SNAKE_CASE_						) == "low":
      lowercase_     =       number
    elif answer(SCREAMING_SNAKE_CASE_						) == "high":
      lowercase_     =       number
    else:
      break

  print(f"""guess the number : {last_numbers[-1]}"""						)
  print(f"""details : {last_numbers!s}"""						)

def   A_      (       )			->None:
  lowercase_     =       int(input("""Enter lower value : """						).strip()						)
  lowercase_     =       int(input("""Enter high value : """						).strip()						)
  lowercase_     =       int(input("""Enter value to guess : """						).strip()						)
  guess_the_number(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)


if __name__ == "__main__":
       main()


'''simple docstring'''


from typing import TYPE_CHECKING

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


__snake_case						  =		{
    """configuration_gpt_neox_japanese""": ["""GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXJapaneseConfig"""],
    """tokenization_gpt_neox_japanese""": ["""GPTNeoXJapaneseTokenizer"""],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __snake_case						  =		[
           """GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """GPTNeoXJapaneseForCausalLM""",
           """GPTNeoXJapaneseLayer""",
           """GPTNeoXJapaneseModel""",
           """GPTNeoXJapanesePreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
       from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gpt_neox_japanese import (
                  GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTNeoXJapaneseForCausalLM,
                  GPTNeoXJapaneseLayer,
                  GPTNeoXJapaneseModel,
                  GPTNeoXJapanesePreTrainedModel,
              )


else:
       import sys

       __snake_case						  =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

