






import warnings

from ..trainer import Trainer
from ..utils import logging


__a   :							Tuple						= logging.get_logger(__name__)


class    __lowercase   (						lowercase_	):







     '''simple docstring'''




     def __init__(					self							:      List[Any]			,						UpperCamelCase_							:      str=None			,						**UpperCamelCase_							:      Optional[int]					):


         """simple docstring"""



         warnings.warn(
             """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
             """instead."""			,						UpperCamelCase_			,						)
         super().__init__(args=UpperCamelCase_			,						**UpperCamelCase_					)












from __future__ import annotations



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      list[int]      ,					__lowercase :      int     )    ->   bool:





    """simple docstring"""

    if len(__lowercase     ) == 0:
        return False
    __A       =						len(__lowercase     ) // 2
    if a_list[midpoint] == item:
        return True
    if item < a_list[midpoint]:
        return binary_search(a_list[:midpoint]      ,					__lowercase     )
    else:
        return binary_search(a_list[midpoint + 1 :]      ,					__lowercase     )


if __name__ == "__main__":
  __a   :							Tuple						= input("Enter numbers separated by comma:\n").strip()
  __a   :							Any						= [int(item.strip()) for item in user_input.split(",")]
  __a   :							List[Any]						= int(input("Enter the number to be found in the list:\n").strip())
  __a   :							Optional[int]						= "" if binary_search(sequence, target) else "not "
  print(f"""{target} was {not_str}found in {sequence}""")




