





"""simple docstring"""






import argparse
import os
import re


lowerCAmelCase_			=							'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
lowerCAmelCase_			=							re.compile(r'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
lowerCAmelCase_			=							re.compile(r'''\s*\(\s*"(\S[^"]+)"''')

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE = False							)		->       Optional[Any]:






       """simple docstring"""




       with open(SCREAMING_SNAKE_CASE,'r',encoding='utf-8'							) as f:
              _UpperCAmelCase     =     f.read()

       _UpperCAmelCase     =     content.split('\n'							)
       _UpperCAmelCase     =     []
       _UpperCAmelCase     =     0
       while line_idx < len(SCREAMING_SNAKE_CASE							):
              if _re_intro_mapping.search(lines[line_idx]							) is not None:
                     _UpperCAmelCase     =     len(re.search(R'^(\s*)\S',lines[line_idx]							).groups()[0]							) + 8
                     # Start of a new mapping!
                     while not lines[line_idx].startswith(' ' * indent + '('							):
                            new_lines.append(lines[line_idx]							)
                            line_idx += 1

                     _UpperCAmelCase     =     []
                     while lines[line_idx].strip() != "]":
                            # Blocks either fit in one line or not
                            if lines[line_idx].strip() == "(":
                                   _UpperCAmelCase     =     line_idx
                                   while not lines[line_idx].startswith(' ' * indent + ')'							):
                                          line_idx += 1
                                   blocks.append('\n'.join(lines[start_idx : line_idx + 1]							)							)
                            else:
                                   blocks.append(lines[line_idx]							)
                            line_idx += 1

                     # Sort blocks by their identifiers
                     _UpperCAmelCase     =     sorted(SCREAMING_SNAKE_CASE,key=lambda SCREAMING_SNAKE_CASE							: _re_identifier.search(SCREAMING_SNAKE_CASE							).groups()[0]							)
                     new_lines += blocks
              else:
                     new_lines.append(lines[line_idx]							)
                     line_idx += 1

       if overwrite:
              with open(SCREAMING_SNAKE_CASE,'w',encoding='utf-8'							) as f:
                     f.write('\n'.join(SCREAMING_SNAKE_CASE							)							)
       elif "\n".join(SCREAMING_SNAKE_CASE							) != content:
              return True

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE = False							)		->       Union[str, Any]:






       """simple docstring"""




       _UpperCAmelCase     =     [os.path.join(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							) for f in os.listdir(SCREAMING_SNAKE_CASE							) if f.endswith('.py'							)]
       _UpperCAmelCase     =     [sort_auto_mapping(SCREAMING_SNAKE_CASE,overwrite=SCREAMING_SNAKE_CASE							) for fname in fnames]

       if not overwrite and any(SCREAMING_SNAKE_CASE							):
              _UpperCAmelCase     =     [f for f, d in zip(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							) if d]
              raise ValueError(
                  F"""The following files have auto mappings that need sorting: {", ".join(SCREAMING_SNAKE_CASE							)}. Run `make style` to fix"""
                  ' this.'							)


if __name__ == "__main__":
       lowerCAmelCase_			=							argparse.ArgumentParser()
       parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
       lowerCAmelCase_			=							parser.parse_args()

       sort_all_auto_mappings(not args.check_only)













"""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__     )






