


import warnings

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


snake_case__      			=    logging.get_logger(__name__)


class        lowerCAmelCase_			(							lowercase_):




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






									"""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}""")




