"""simple docstring"""





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



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    Any:
							_SCREAMING_SNAKE_CASE		:						str			  =    multiprocessing.Manager()
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    manager.list()

							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    multiprocessing.Process(target=__SCREAMING_SNAKE_CASE     ,	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_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    List[Any]:
							with create_tempdir():
														# These system calls are needed when cleaning up tempdir.
														import os
														import shutil

														_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    shutil.rmtree
														_SCREAMING_SNAKE_CASE		:						List[str]			  =    os.rmdir
														_SCREAMING_SNAKE_CASE		:						List[str]			  =    os.chdir

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

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

														# Needed for cleaning up.
														_SCREAMING_SNAKE_CASE		:						List[str]			  =    rmtree
														_SCREAMING_SNAKE_CASE		:						Tuple			  =    rmdir
														_SCREAMING_SNAKE_CASE		:						Any			  =    chdir



@contextlib.contextmanager
def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    Union[str, Any]:
							def signal_handler(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  ):
														raise TimeoutException("""Timed out!"""  )

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



@contextlib.contextmanager
def      lowerCamelCase_()->    Optional[Any]:
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    WriteOnlyStringIO()
							with contextlib.redirect_stdout(__SCREAMING_SNAKE_CASE  ):
														with contextlib.redirect_stderr(__SCREAMING_SNAKE_CASE  ):
																					with redirect_stdin(__SCREAMING_SNAKE_CASE  ):
																												yield



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




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				pass




class  _snake_case		(    io.StringIO ):







				"""simple docstring"""






				def 		_lowerCAmelCase		(      self							:							Tuple      ,    *_A							:							Optional[int]      ,    **_A							:							Union[str, Any]):



											"""simple docstring"""







											raise OSError





				def 		_lowerCAmelCase		(      self							:							int      ,    *_A							:							Optional[int]      ,    **_A							:							Any):



											"""simple docstring"""







											raise OSError





				def 		_lowerCAmelCase		(      self							:							str      ,    *_A							:							str      ,    **_A							:							List[str]):



											"""simple docstring"""







											raise OSError





				def 		_lowerCAmelCase		(      self							:							Optional[Any]      ,    *_A							:							Tuple      ,    **_A							:							List[str]):



											"""simple docstring"""







											return False




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







				"""simple docstring"""






				a			=						"stdin"



@contextlib.contextmanager
def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    Optional[int]:
							if root == ".":
														yield
														return
							_SCREAMING_SNAKE_CASE		:						str			  =    os.getcwd()
							os.chdir(__SCREAMING_SNAKE_CASE  )
							try:
														yield
							except BaseException as exc:
														raise exc
							finally:
														os.chdir(__SCREAMING_SNAKE_CASE  )



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE=None  )->    Union[str, Any]:

							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

							_SCREAMING_SNAKE_CASE		:						Any			  =    None
							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    None

							import os

							_SCREAMING_SNAKE_CASE		:						str			  =    """1"""

							_SCREAMING_SNAKE_CASE		:						List[str]			  =    None
							_SCREAMING_SNAKE_CASE		:						str			  =    None
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None
							_SCREAMING_SNAKE_CASE		:						Any			  =    None
							_SCREAMING_SNAKE_CASE		:						str			  =    None
							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Dict			  =    None
							_SCREAMING_SNAKE_CASE		:						int			  =    None
							_SCREAMING_SNAKE_CASE		:						Dict			  =    None
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Any			  =    None
							_SCREAMING_SNAKE_CASE		:						Any			  =    None
							_SCREAMING_SNAKE_CASE		:						List[str]			  =    None
							_SCREAMING_SNAKE_CASE		:						str			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Dict			  =    None
							_SCREAMING_SNAKE_CASE		:						int			  =    None
							_SCREAMING_SNAKE_CASE		:						int			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						List[str]			  =    None

							import shutil

							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None
							_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    None

							import subprocess

							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None  # type: ignore

							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None

							import sys

							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Any			  =    None
							_SCREAMING_SNAKE_CASE		:						Any			  =    None
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    None
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    None



"""simple docstring"""





# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch

from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						"facebook/bart-large-mnli"
				a			=						(
				    "This is a tool that classifies an English text using provided labels. It takes two inputs: `text`, which "
				    "should be the text to classify, and `labels`, which should be the list of labels to use for classification. "
				    "It returns the most likely label in the list of provided `labels` for the input text."
				)
				a			=						"text_classifier"
				a			=						AutoTokenizer
				a			=						AutoModelForSequenceClassification

				a			=						["text", ["text"]]
				a			=						["text"]





				def 		_lowerCAmelCase		(      self							:							int):



											"""simple docstring"""







											super().setup()
											_SCREAMING_SNAKE_CASE		:						Any			  =    self.model.config
											_SCREAMING_SNAKE_CASE		:						Any			  =    -1
											for idx, label in config.idalabel.items():
																		if label.lower().startswith("""entail"""):
																									_SCREAMING_SNAKE_CASE		:						List[Any]			  =    int(_A)
											if self.entailment_id == -1:
																		raise ValueError("""Could not determine the entailment ID from the model config, please pass it at init.""")





				def 		_lowerCAmelCase		(      self							:							Optional[Any]      ,    _A							:							Tuple      ,    _A							:							List[str]):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    labels
											return self.pre_processor(
											    [text] * len(_A)      ,    [f"""This example is {label}""" for label in labels]      ,    return_tensors="""pt"""      ,    padding="""max_length"""      ,    )





				def 		_lowerCAmelCase		(      self							:							Tuple      ,    _A							:							Optional[Any]):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						str			  =    outputs.logits
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    torch.argmax(logits[:, 2]).item()
											return self._labels[label_id]


