




import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_					,     lowercase_      )       ->	str:

    """simple docstring"""


    __UpperCamelCase  		=						multiprocessing.Manager()
    __UpperCamelCase  		=						manager.list()

    __UpperCamelCase  		=						multiprocessing.Process(target=lowercase_					,     args=(check_program, result, timeout)      )
    p.start()
    p.join(timeout=timeout + 1      )
    if p.is_alive():
        p.kill()

    if not result:
        result.append('''timed out'''      )

    return {
        "task_id": task_id,
        "passed": result[0] == "passed",
        "result": result[0],
        "completion_id": completion_id,
    }




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_      )       ->	List[Any]:

    """simple docstring"""


    with create_tempdir():
        # These system calls are needed when cleaning up tempdir.
        import os
        import shutil

        __UpperCamelCase  		=						shutil.rmtree
        __UpperCamelCase  		=						os.rmdir
        __UpperCamelCase  		=						os.chdir

        # Disable functionalities that can make destructive changes to the test.
        reliability_guard()

        # Run program.
        try:
            __UpperCamelCase  		=						{}
            with swallow_io():
                with time_limit(lowercase_      ):
                    exec(lowercase_					,     lowercase_      )
            result.append('''passed'''      )
        except TimeoutException:
            result.append('''timed out'''      )
        except BaseException as e:
            result.append(F"failed: {e}"      )

        # Needed for cleaning up.
        __UpperCamelCase  		=						rmtree
        __UpperCamelCase  		=						rmdir
        __UpperCamelCase  		=						chdir




@contextlib.contextmanager
def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	int:

    """simple docstring"""


    def signal_handler(lowercase_					,     lowercase_      ):
        raise TimeoutException('''Timed out!'''      )

    signal.setitimer(signal.ITIMER_REAL					,     lowercase_      )
    signal.signal(signal.SIGALRM					,     lowercase_      )
    try:
        yield
    finally:
        signal.setitimer(signal.ITIMER_REAL					,     0      )




@contextlib.contextmanager
def 					__SCREAMING_SNAKE_CASE   (  )       ->	Dict:

    """simple docstring"""


    __UpperCamelCase  		=						WriteOnlyStringIO()
    with contextlib.redirect_stdout(lowercase_      ):
        with contextlib.redirect_stderr(lowercase_      ):
            with redirect_stdin(lowercase_      ):
                yield




@contextlib.contextmanager
def 					__SCREAMING_SNAKE_CASE   (  )       ->	Tuple:

    """simple docstring"""


    with tempfile.TemporaryDirectory() as dirname:
        with chdir(lowercase_      ):
            yield dirname

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      pass







class  _lowerCamelCase						(			io.StringIO   ):

      """simple docstring"""

      def       snake_case	(     self					: int ,       *snake_case					: int ,       **snake_case					: Union[str, Any]				):
          raise OSError







      def       snake_case	(     self					: int ,       *snake_case					: Tuple ,       **snake_case					: int				):
          raise OSError







      def       snake_case	(     self					: Any ,       *snake_case					: Union[str, Any] ,       **snake_case					: Any				):
          raise OSError







      def       snake_case	(     self					: Tuple ,       *snake_case					: Any ,       **snake_case					: Union[str, Any]				):
          return False







class  _lowerCamelCase						(			contextlib._RedirectStream   ):  # type: ignore

      """simple docstring"""

      lowerCAmelCase__			: List[str]    =					"stdin"







@contextlib.contextmanager
def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	Dict:

    """simple docstring"""


    if root == ".":
        yield
        return
    __UpperCamelCase  		=						os.getcwd()
    os.chdir(lowercase_      )
    try:
        yield
    except BaseException as exc:
        raise exc
    finally:
        os.chdir(lowercase_      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_=None      )       ->	Tuple:

    """simple docstring"""


    if maximum_memory_bytes is not None:
        import resource

        resource.setrlimit(resource.RLIMIT_AS					,     (maximum_memory_bytes, maximum_memory_bytes)      )
        resource.setrlimit(resource.RLIMIT_DATA					,     (maximum_memory_bytes, maximum_memory_bytes)      )
        if not platform.uname().system == "Darwin":
            resource.setrlimit(resource.RLIMIT_STACK					,     (maximum_memory_bytes, maximum_memory_bytes)      )

    faulthandler.disable()

    import builtins

    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None

    import os

    __UpperCamelCase  		=						'''1'''

    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None

    import shutil

    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None

    import subprocess

    __UpperCamelCase  		=						None  # type: ignore

    __UpperCamelCase  		=						None

    import sys

    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None
    __UpperCamelCase  		=						None












import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: Dict    =					["image_processor", "tokenizer"]
      lowerCAmelCase__			: List[Any]    =					"ViTImageProcessor"
      lowerCAmelCase__			: Optional[int]    =					("CLIPTokenizer", "CLIPTokenizerFast")







      def __init__(     self					: Any ,       snake_case					: Any=None ,       snake_case					: Dict=None ,       **snake_case					: Tuple				):
          __UpperCamelCase  		=						None
          if "feature_extractor" in kwargs:
              warnings.warn(
                  '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
                  ''' instead.''' ,       snake_case ,       )
              __UpperCamelCase  		=						kwargs.pop('''feature_extractor'''				)

          __UpperCamelCase  		=						image_processor if image_processor is not None else feature_extractor
          if image_processor is None:
              raise ValueError('''You need to specify an `image_processor`.'''				)
          if tokenizer is None:
              raise ValueError('''You need to specify a `tokenizer`.'''				)

          super().__init__(snake_case ,       snake_case				)







      def __call__(     self					: Dict ,       snake_case					: Union[str, Any]=None ,       snake_case					: Tuple=None ,       snake_case					: Any=None ,       snake_case					: Any=None ,       **snake_case					: Optional[int]				):
          if text is None and visual_prompt is None and images is None:
              raise ValueError('''You have to specify either text, visual prompt or images.'''				)

          if text is not None and visual_prompt is not None:
              raise ValueError('''You have to specify exactly one type of prompt. Either text or visual prompt.'''				)

          if text is not None:
              __UpperCamelCase  		=						self.tokenizer(snake_case ,       return_tensors=snake_case ,       **snake_case				)

          if visual_prompt is not None:
              __UpperCamelCase  		=						self.image_processor(snake_case ,       return_tensors=snake_case ,       **snake_case				)

          if images is not None:
              __UpperCamelCase  		=						self.image_processor(snake_case ,       return_tensors=snake_case ,       **snake_case				)

          if visual_prompt is not None and images is not None:
              __UpperCamelCase  		=						{
                  '''pixel_values''': image_features.pixel_values,
                  '''conditional_pixel_values''': prompt_features.pixel_values,
              }
              return encoding
          elif text is not None and images is not None:
              __UpperCamelCase  		=						image_features.pixel_values
              return encoding
          elif text is not None:
              return encoding
          elif visual_prompt is not None:
              __UpperCamelCase  		=						{
                  '''conditional_pixel_values''': prompt_features.pixel_values,
              }
              return encoding
          else:
              return BatchEncoding(data=dict(**snake_case				) ,       tensor_type=snake_case				)







      def       snake_case	(     self					: Optional[int] ,       *snake_case					: Tuple ,       **snake_case					: Any				):
          return self.tokenizer.batch_decode(*snake_case ,       **snake_case				)







      def       snake_case	(     self					: Optional[int] ,       *snake_case					: Dict ,       **snake_case					: List[str]				):
          return self.tokenizer.decode(*snake_case ,       **snake_case				)







      @property
      def       snake_case	(     self					: Optional[Any]				):
          warnings.warn(
              '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.''' ,       snake_case ,       )
          return self.image_processor_class







      @property
      def       snake_case	(     self					: Optional[Any]				):
          warnings.warn(
              '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.''' ,       snake_case ,       )
          return self.image_processor






