

from __future__ import annotations


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		list[int] ,   _SCREAMING_SNAKE_CASE					:		int       ):





    """simple docstring"""


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


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





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


UpperCamelCase__  :      Tuple			=    {
    "configuration_trocr": ["TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP", "TrOCRConfig"],
    "processing_trocr": ["TrOCRProcessor"],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCamelCase__  :      Tuple			=    [
           "TROCR_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TrOCRForCausalLM",
           "TrOCRPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
       from .processing_trocr import TrOCRProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
       import sys

       UpperCamelCase__  :      str			=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


