



# 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__		(   lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		List[Any]	,lowerCamelCase_		:		Dict	,lowerCamelCase_		:		Optional[Any]):





				'''simple docstring'''

				lowerCAmelCase__					:    List[Any]												=					multiprocessing.Manager()
				lowerCAmelCase__					:    Dict												=					manager.list()

				lowerCAmelCase__					:    Optional[Any]												=					multiprocessing.Process(target=lowerCamelCase_	,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__		(   lowerCamelCase_		:		Tuple	,lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		Any):





				'''simple docstring'''

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

								lowerCAmelCase__					:    List[Any]												=					shutil.rmtree
								lowerCAmelCase__					:    Dict												=					os.rmdir
								lowerCAmelCase__					:    Optional[Any]												=					os.chdir

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

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

								# Needed for cleaning up.
								lowerCAmelCase__					:    List[Any]												=					rmtree
								lowerCAmelCase__					:    List[Any]												=					rmdir
								lowerCAmelCase__					:    Optional[int]												=					chdir






@contextlib.contextmanager
def      lowerCAmelCase__		(   lowerCamelCase_		:		List[str]):





				'''simple docstring'''

				def signal_handler(lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		Dict):
								raise TimeoutException('''Timed out!''')

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






@contextlib.contextmanager
def      lowerCAmelCase__		(   ):





				'''simple docstring'''

				lowerCAmelCase__					:    int												=					WriteOnlyStringIO()
				with contextlib.redirect_stdout(lowerCamelCase_):
								with contextlib.redirect_stderr(lowerCamelCase_):
												with redirect_stdin(lowerCamelCase_):
																yield






@contextlib.contextmanager
def      lowerCAmelCase__		(   ):





				'''simple docstring'''

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



class 	lowerCamelCase__      (							_a):




		'''simple docstring'''



		pass



class 	lowerCamelCase__      (							io.StringIO):




		'''simple docstring'''



		def 		lowerCAmelCase__				(self		,*__lowerCamelCase		,**__lowerCamelCase			)					->      Tuple:

						"""simple docstring"""






						raise OSError



		def 		lowerCAmelCase__				(self		,*__lowerCamelCase		,**__lowerCamelCase			)					->      str:

						"""simple docstring"""






						raise OSError



		def 		lowerCAmelCase__				(self		,*__lowerCamelCase		,**__lowerCamelCase			)					->      str:

						"""simple docstring"""






						raise OSError



		def 		lowerCAmelCase__				(self		,*__lowerCamelCase		,**__lowerCamelCase			)					->      Optional[int]:

						"""simple docstring"""






						return False



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




		'''simple docstring'''



		snake_case_     ="""stdin"""






@contextlib.contextmanager
def      lowerCAmelCase__		(   lowerCamelCase_		:		Union[str, Any]):





				'''simple docstring'''

				if root == ".":
								yield
								return
				lowerCAmelCase__					:    List[str]												=					os.getcwd()
				os.chdir(lowerCamelCase_)
				try:
								yield
				except BaseException as exc:
								raise exc
				finally:
								os.chdir(lowerCamelCase_)






def      lowerCAmelCase__		(   lowerCamelCase_		:		Optional[int]=None):





				'''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

				lowerCAmelCase__					:    int												=					None
				lowerCAmelCase__					:    Optional[Any]												=					None

				import os

				lowerCAmelCase__					:    Optional[int]												=					'1'

				lowerCAmelCase__					:    Tuple												=					None
				lowerCAmelCase__					:    Union[str, Any]												=					None
				lowerCAmelCase__					:    Optional[int]												=					None
				lowerCAmelCase__					:    str												=					None
				lowerCAmelCase__					:    List[str]												=					None
				lowerCAmelCase__					:    Tuple												=					None
				lowerCAmelCase__					:    Optional[Any]												=					None
				lowerCAmelCase__					:    Any												=					None
				lowerCAmelCase__					:    Optional[int]												=					None
				lowerCAmelCase__					:    Optional[Any]												=					None
				lowerCAmelCase__					:    str												=					None
				lowerCAmelCase__					:    str												=					None
				lowerCAmelCase__					:    str												=					None
				lowerCAmelCase__					:    Optional[int]												=					None
				lowerCAmelCase__					:    int												=					None
				lowerCAmelCase__					:    Any												=					None
				lowerCAmelCase__					:    str												=					None
				lowerCAmelCase__					:    Dict												=					None
				lowerCAmelCase__					:    Dict												=					None
				lowerCAmelCase__					:    Tuple												=					None
				lowerCAmelCase__					:    List[Any]												=					None
				lowerCAmelCase__					:    int												=					None
				lowerCAmelCase__					:    Optional[int]												=					None
				lowerCAmelCase__					:    str												=					None
				lowerCAmelCase__					:    Optional[Any]												=					None
				lowerCAmelCase__					:    Tuple												=					None
				lowerCAmelCase__					:    Any												=					None

				import shutil

				lowerCAmelCase__					:    int												=					None
				lowerCAmelCase__					:    Union[str, Any]												=					None
				lowerCAmelCase__					:    Any												=					None

				import subprocess

				lowerCAmelCase__					:    Any												=					None  # type: ignore

				lowerCAmelCase__					:    str												=					None

				import sys

				lowerCAmelCase__					:    Dict												=					None
				lowerCAmelCase__					:    Tuple												=					None
				lowerCAmelCase__					:    List[Any]												=					None
				lowerCAmelCase__					:    Optional[Any]												=					None
				lowerCAmelCase__					:    Optional[Any]												=					None






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__snake_case    :		Any  ={
    'configuration_blenderbot_small': [
        'BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlenderbotSmallConfig',
        'BlenderbotSmallOnnxConfig',
    ],
    'tokenization_blenderbot_small': ['BlenderbotSmallTokenizer'],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__snake_case    :		Union[str, Any]  =['BlenderbotSmallTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__snake_case    :		List[str]  =[
							    'BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'BlenderbotSmallForCausalLM',
							    'BlenderbotSmallForConditionalGeneration',
							    'BlenderbotSmallModel',
							    'BlenderbotSmallPreTrainedModel',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__snake_case    :		str  =[
							    'TFBlenderbotSmallForConditionalGeneration',
							    'TFBlenderbotSmallModel',
							    'TFBlenderbotSmallPreTrainedModel',
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__snake_case    :		Dict  =[
							    'FlaxBlenderbotSmallForConditionalGeneration',
							    'FlaxBlenderbotSmallModel',
							    'FlaxBlenderbotSmallPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_blenderbot_small import (
							    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    BlenderbotSmallConfig,
							    BlenderbotSmallOnnxConfig,
							)
							from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_blenderbot_small import (
														    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BlenderbotSmallForCausalLM,
														    BlenderbotSmallForConditionalGeneration,
														    BlenderbotSmallModel,
														    BlenderbotSmallPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_blenderbot_small import (
														    TFBlenderbotSmallForConditionalGeneration,
														    TFBlenderbotSmallModel,
														    TFBlenderbotSmallPreTrainedModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_blenderbot_small import (
														    FlaxBlenderbotSmallForConditionalGeneration,
														    FlaxBlenderbotSmallModel,
														    FlaxBlenderbotSmallPreTrainedModel,
														)

else:
							import sys

							__snake_case    :		Optional[int]  =_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

