




"""simple docstring"""

class 				lowercase					:







				def __init__(							self      :    List[str]					,   _lowerCamelCase      :    int					,   _lowerCamelCase      :    Optional[int]=None					,   _lowerCamelCase      :    Union[str, Any]=None				):



					"""simple docstring"""

					A_     : int		      =						data
					A_     : Union[str, Any]		      =						previous
					A_     : Union[str, Any]		      =						next_node







				def __str__(							self      :    Any				):



					"""simple docstring"""

					return F"""{self.data}"""







				def     a_     (							self      :    Optional[int]				):



					"""simple docstring"""

					return self.data







				def     a_     (							self      :    Union[str, Any]				):



					"""simple docstring"""

					return self.next







				def     a_     (							self      :    Optional[Any]				):



					"""simple docstring"""

					return self.previous

class 				lowercase					:







				def __init__(							self      :    str					,   _lowerCamelCase      :    List[Any]				):



					"""simple docstring"""

					A_     : str		      =						head







				def __iter__(							self      :    Union[str, Any]				):



					"""simple docstring"""

					return self







				def     a_     (							self      :    str				):



					"""simple docstring"""

					if not self.current:
						raise StopIteration
					else:
						A_     : int		      =						self.current.get_data()
						A_     : int		      =						self.current.get_next()
						return value

class 				lowercase					:







				def __init__(							self      :    Tuple				):



					"""simple docstring"""

					A_     : int		      =						None  # First node in list
					A_     : Optional[int]		      =						None  # Last node in list







				def __str__(							self      :    Tuple				):



					"""simple docstring"""

					A_     : str		      =						self.head
					A_     : Optional[Any]		      =						[]
					while current is not None:
						nodes.append(current.get_data()				)
						A_     : int		      =						current.get_next()
					return " ".join(str(_lowerCamelCase				) for node in nodes				)







				def __contains__(							self      :    List[Any]					,   _lowerCamelCase      :    int				):



					"""simple docstring"""

					A_     : Any		      =						self.head
					while current:
						if current.get_data() == value:
							return True
						A_     : Dict		      =						current.get_next()
					return False







				def __iter__(							self      :    Optional[Any]				):



					"""simple docstring"""

					return LinkedListIterator(self.head				)







				def     a_     (							self      :    Union[str, Any]				):



					"""simple docstring"""

					if self.head:
						return self.head.get_data()
					return None







				def     a_     (							self      :    List[str]				):



					"""simple docstring"""

					if self.tail:
						return self.tail.get_data()
					return None







				def     a_     (							self      :    Optional[Any]					,   _lowerCamelCase      :    Node				):



					"""simple docstring"""

					if self.head is None:
						A_     : Union[str, Any]		      =						node
						A_     : Union[str, Any]		      =						node
					else:
						self.insert_before_node(self.head					,   _lowerCamelCase				)







				def     a_     (							self      :    Tuple					,   _lowerCamelCase      :    Node				):



					"""simple docstring"""

					if self.head is None:
						self.set_head(_lowerCamelCase				)
					else:
						self.insert_after_node(self.tail					,   _lowerCamelCase				)







				def     a_     (							self      :    List[str]					,   _lowerCamelCase      :    int				):



					"""simple docstring"""

					A_     : Optional[int]		      =						Node(_lowerCamelCase				)
					if self.head is None:
						self.set_head(_lowerCamelCase				)
					else:
						self.set_tail(_lowerCamelCase				)







				def     a_     (							self      :    Optional[Any]					,   _lowerCamelCase      :    Node					,   _lowerCamelCase      :    Node				):



					"""simple docstring"""

					A_     : str		      =						node
					A_     : int		      =						node.previous

					if node.get_previous() is None:
						A_     : Union[str, Any]		      =						node_to_insert
					else:
						A_     : str		      =						node_to_insert

					A_     : str		      =						node_to_insert







				def     a_     (							self      :    Tuple					,   _lowerCamelCase      :    Node					,   _lowerCamelCase      :    Node				):



					"""simple docstring"""

					A_     : Dict		      =						node
					A_     : Tuple		      =						node.next

					if node.get_next() is None:
						A_     : Union[str, Any]		      =						node_to_insert
					else:
						A_     : List[Any]		      =						node_to_insert

					A_     : Tuple		      =						node_to_insert







				def     a_     (							self      :    Dict					,   _lowerCamelCase      :    int					,   _lowerCamelCase      :    int				):



					"""simple docstring"""

					A_     : Optional[int]		      =						1
					A_     : Any		      =						Node(_lowerCamelCase				)
					A_     : List[Any]		      =						self.head
					while node:
						if current_position == position:
							self.insert_before_node(_lowerCamelCase					,   _lowerCamelCase				)
							return
						current_position += 1
						A_     : Dict		      =						node.next
					self.insert_after_node(self.tail					,   _lowerCamelCase				)







				def     a_     (							self      :    List[Any]					,   _lowerCamelCase      :    int				):



					"""simple docstring"""

					A_     : List[Any]		      =						self.head
					while node:
						if node.get_data() == item:
							return node
						A_     : List[str]		      =						node.get_next()
					raise Exception('''Node not found'''				)







				def     a_     (							self      :    str					,   _lowerCamelCase      :    int				):



					"""simple docstring"""

					if (node := self.get_node(_lowerCamelCase				)) is not None:
						if node == self.head:
							A_     : Tuple		      =						self.head.get_next()

						if node == self.tail:
							A_     : int		      =						self.tail.get_previous()

						self.remove_node_pointers(_lowerCamelCase				)







				@staticmethod
				def     a_     (							_lowerCamelCase      :    Node				):



					"""simple docstring"""

					if node.get_next():
						A_     : int		      =						node.previous

					if node.get_previous():
						A_     : Optional[Any]		      =						node.next

					A_     : List[Any]		      =						None
					A_     : Any		      =						None







				def     a_     (							self      :    Dict				):



					"""simple docstring"""

					return self.head is None

def 						lowercase_					(						):




	"""simple docstring"""






	pass


if __name__ == "__main__":
		import doctest

		doctest.testmod()













# 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 			__a  (    A__       ):
 _lowerCAmelCase       :       str        = '''facebook/bart-large-mnli'''
 _lowerCAmelCase       :       Tuple        = (
     '''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.'''
 )
 _lowerCAmelCase       :       Any        = '''text_classifier'''
 _lowerCAmelCase       :       int        = AutoTokenizer
 _lowerCAmelCase       :       Union[str, Any]        = AutoModelForSequenceClassification

 _lowerCAmelCase       :       Union[str, Any]        = ['''text''', ['''text''']]
 _lowerCAmelCase       :       Dict        = ['''text''']







 def 					__lowercase					(		self					:   int						):


      '''simple docstring'''






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







 def 					__lowercase					(		self					:   Tuple							,   SCREAMING_SNAKE_CASE					:   Tuple							,   SCREAMING_SNAKE_CASE					:   List[Any]						):


      '''simple docstring'''






      UpperCamelCase__			:   Any       				=  labels
      return self.pre_processor(
          [text] * len(SCREAMING_SNAKE_CASE						)							,   [F'This example is {label}' for label in labels]							,   return_tensors="pt"							,   padding="max_length"							,   )







 def 					__lowercase					(		self					:   Optional[Any]							,   SCREAMING_SNAKE_CASE					:   Dict						):


      '''simple docstring'''






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