



# This code is adapted from OpenAI's release
# https://github.com/openai/human-eval/blob/master/human_eval/execution.py

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



def 		lowerCAmelCase__     (       UpperCamelCase_					:							List[str]			,							UpperCamelCase_					:							Tuple			,							UpperCamelCase_					:							Union[str, Any]			,							UpperCamelCase_					:							List[Any]						)->	Optional[int]:
    A__					=       multiprocessing.Manager()
    A__					=       manager.list()

    A__					=       multiprocessing.Process(target=UpperCamelCase_			,							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 		lowerCAmelCase__     (       UpperCamelCase_					:							Optional[int]			,							UpperCamelCase_					:							Optional[Any]			,							UpperCamelCase_					:							Optional[Any]						)->	Optional[Any]:
    with create_tempdir():
        # These system calls are needed when cleaning up tempdir.
        import os
        import shutil

        A__					=       shutil.rmtree
        A__					=       os.rmdir
        A__					=       os.chdir

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

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

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



@contextlib.contextmanager
def 		lowerCAmelCase__     (       UpperCamelCase_					:							Dict						)->	int:
    def signal_handler(UpperCamelCase_					:							Optional[Any]			,							UpperCamelCase_					:							List[Any]						):
        raise TimeoutException('''Timed out!'''						)

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



@contextlib.contextmanager
def 		lowerCAmelCase__     (       )->	Optional[Any]:
    A__					=       WriteOnlyStringIO()
    with contextlib.redirect_stdout(UpperCamelCase_						):
        with contextlib.redirect_stderr(UpperCamelCase_						):
            with redirect_stdin(UpperCamelCase_						):
                yield



@contextlib.contextmanager
def 		lowerCAmelCase__     (       )->	List[Any]:
    with tempfile.TemporaryDirectory() as dirname:
        with chdir(UpperCamelCase_						):
            yield dirname



class      _UpperCAmelCase      (							A__  ):
     pass







class      _UpperCAmelCase      (							io.StringIO  ):




     def 		snake_case_		(					self			,    *a__			,    **a__):
         raise OSError




     def 		snake_case_		(					self			,    *a__			,    **a__):
         raise OSError




     def 		snake_case_		(					self			,    *a__			,    **a__):
         raise OSError




     def 		snake_case_		(					self			,    *a__			,    **a__):
         return False







class      _UpperCAmelCase      (							contextlib._RedirectStream  ):  # type: ignore
     UpperCamelCase__		     =					'''stdin'''







@contextlib.contextmanager
def 		lowerCAmelCase__     (       UpperCamelCase_					:							str						)->	str:
    if root == ".":
        yield
        return
    A__					=       os.getcwd()
    os.chdir(UpperCamelCase_						)
    try:
        yield
    except BaseException as exc:
        raise exc
    finally:
        os.chdir(UpperCamelCase_						)



def 		lowerCAmelCase__     (       UpperCamelCase_					:							Dict=None						)->	int:

    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

    A__					=       None
    A__					=       None

    import os

    A__					=       '''1'''

    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None

    import shutil

    A__					=       None
    A__					=       None
    A__					=       None

    import subprocess

    A__					=       None  # type: ignore

    A__					=       None

    import sys

    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None
    A__					=       None





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


_lowercase    	=		{
    "configuration_layoutlmv2": ["LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMv2Config"],
    "processing_layoutlmv2": ["LayoutLMv2Processor"],
    "tokenization_layoutlmv2": ["LayoutLMv2Tokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase    	=		["LayoutLMv2TokenizerFast"]

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase    	=		["LayoutLMv2FeatureExtractor"]
   _lowercase    	=		["LayoutLMv2ImageProcessor"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase    	=		[
       "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
       "LayoutLMv2ForQuestionAnswering",
       "LayoutLMv2ForSequenceClassification",
       "LayoutLMv2ForTokenClassification",
       "LayoutLMv2Layer",
       "LayoutLMv2Model",
       "LayoutLMv2PreTrainedModel",
   ]

if TYPE_CHECKING:
   from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
   from .processing_layoutlmva import LayoutLMvaProcessor
   from .tokenization_layoutlmva import LayoutLMvaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_layoutlmva import (
          LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
          LayoutLMvaForQuestionAnswering,
          LayoutLMvaForSequenceClassification,
          LayoutLMvaForTokenClassification,
          LayoutLMvaLayer,
          LayoutLMvaModel,
          LayoutLMvaPreTrainedModel,
      )
else:
   import sys

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