





"""simple docstring"""






from __future__ import annotations

from typing import Any



class 	lowerCAmelCase					(      snake_case							):
       pass



class 	lowerCAmelCase					:






       def __init__(   self    ,  a__     ):
              _UpperCAmelCase     =     data
              _UpperCAmelCase     =     None






       def __iter__(   self     ):
              _UpperCAmelCase     =     self
              _UpperCAmelCase     =     []
              while node:
                     if node in visited:
                            raise ContainsLoopError
                     visited.append(UpperCamelCase__     )
                     yield node.data
                     _UpperCAmelCase     =     node.next_node






       @property
       def 							__A (   self     ):





              try:
                     list(self     )
                     return False
              except ContainsLoopError:
                     return True


if __name__ == "__main__":
       lowerCAmelCase_			=							Node(1)
       lowerCAmelCase_			=							Node(2)
       lowerCAmelCase_			=							Node(3)
       lowerCAmelCase_			=							Node(4)
       print(root_node.has_loop)  # False
       lowerCAmelCase_			=							root_node.next_node
       print(root_node.has_loop)  # True

       lowerCAmelCase_			=							Node(5)
       lowerCAmelCase_			=							Node(6)
       lowerCAmelCase_			=							Node(5)
       lowerCAmelCase_			=							Node(6)
       print(root_node.has_loop)  # False

       lowerCAmelCase_			=							Node(1)
       print(root_node.has_loop)  # False













"""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.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool



class 	lowerCAmelCase					(      snake_case							):
       lowerCAmelCase__						 =  """philschmid/bart-large-cnn-samsum"""
       lowerCAmelCase__						 =  (
           """This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, """
           """and returns a summary of the text."""
       )
       lowerCAmelCase__						 =  """summarizer"""
       lowerCAmelCase__						 =  AutoTokenizer
       lowerCAmelCase__						 =  AutoModelForSeqaSeqLM

       lowerCAmelCase__						 =  ["""text"""]
       lowerCAmelCase__						 =  ["""text"""]






       def 							__A (   self    ,  a__     ):
              return self.pre_processor(a__    ,  return_tensors='pt'    ,  truncation=a__     )






       def 							__A (   self    ,  a__     ):
              return self.model.generate(**a__     )[0]






       def 							__A (   self    ,  a__     ):
              return self.pre_processor.decode(a__    ,  skip_special_tokens=a__    ,  clean_up_tokenization_spaces=a__     )






