




import argparse
from collections import defaultdict

import yaml


_lowerCamelCase	:		List[str]							       =   """docs/source/en/_toctree.yml"""







def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       Any:



       """simple docstring"""

       A__       =    defaultdict(lowercase_						)
       A__       =    []
       A__       =    []
       for doc in doc_list:
              if "local" in doc:
                     counts[doc["local"]] += 1

              if doc["title"].lower() == "overview":
                     overview_doc.append({'''local''': doc['''local'''], '''title''': doc['''title''']}						)
              else:
                     new_doc_list.append(lowercase_						)

       A__       =    new_doc_list
       A__       =    [key for key, value in counts.items() if value > 1]

       A__       =    []
       for duplicate_key in duplicates:
              A__       =    list({doc['''title'''] for doc in doc_list if doc['''local'''] == duplicate_key}						)
              if len(lowercase_						) > 1:
                     raise ValueError(
                         f"""{duplicate_key} is present several times in the documentation table of content at """
                         '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
                         '''others.'''						)
              # Only add this once
              new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}						)

       # Add none duplicate-keys
       new_doc.extend([doc for doc in doc_list if '''local''' not in counts or counts[doc['''local''']] == 1]						)
       A__       =    sorted(lowercase_ ,				key=lambda lowercase_						: s["title"].lower()						)

       # "overview" gets special treatment and is always first
       if len(lowercase_						) > 1:
              raise ValueError('''{doc_list} has two \'overview\' docs which is not allowed.'''						)

       overview_doc.extend(lowercase_						)

       # Sort
       return overview_doc







def SCREAMING_SNAKE_CASE				(       lowercase_=False						)   ->       Tuple:



       """simple docstring"""

       with open(lowercase_ ,				encoding='''utf-8'''						) as f:
              A__       =    yaml.safe_load(f.read()						)

       # Get to the API doc
       A__       =    0
       while content[api_idx]["title"] != "API":
              api_idx += 1
       A__       =    content[api_idx]['''sections''']

       # Then to the model doc
       A__       =    0
       while api_doc[scheduler_idx]["title"] != "Schedulers":
              scheduler_idx += 1

       A__       =    api_doc[scheduler_idx]['''sections''']
       A__       =    clean_doc_toc(lowercase_						)

       A__       =    False
       if new_scheduler_doc != scheduler_doc:
              A__       =    True
              if overwrite:
                     A__       =    new_scheduler_doc

       if diff:
              if overwrite:
                     A__       =    api_doc
                     with open(lowercase_ ,				'''w''' ,				encoding='''utf-8'''						) as f:
                            f.write(yaml.dump(lowercase_ ,				allow_unicode=lowercase_						)						)
              else:
                     raise ValueError(
                         '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''						)







def SCREAMING_SNAKE_CASE				(       lowercase_=False						)   ->       Tuple:



       """simple docstring"""

       with open(lowercase_ ,				encoding='''utf-8'''						) as f:
              A__       =    yaml.safe_load(f.read()						)

       # Get to the API doc
       A__       =    0
       while content[api_idx]["title"] != "API":
              api_idx += 1
       A__       =    content[api_idx]['''sections''']

       # Then to the model doc
       A__       =    0
       while api_doc[pipeline_idx]["title"] != "Pipelines":
              pipeline_idx += 1

       A__       =    False
       A__       =    api_doc[pipeline_idx]['''sections''']
       A__       =    []

       # sort sub pipeline docs
       for pipeline_doc in pipeline_docs:
              if "section" in pipeline_doc:
                     A__       =    pipeline_doc['''section''']
                     A__       =    clean_doc_toc(lowercase_						)
                     if overwrite:
                            A__       =    new_sub_pipeline_doc
              new_pipeline_docs.append(lowercase_						)

       # sort overall pipeline doc
       A__       =    clean_doc_toc(lowercase_						)

       if new_pipeline_docs != pipeline_docs:
              A__       =    True
              if overwrite:
                     A__       =    new_pipeline_docs

       if diff:
              if overwrite:
                     A__       =    api_doc
                     with open(lowercase_ ,				'''w''' ,				encoding='''utf-8'''						) as f:
                            f.write(yaml.dump(lowercase_ ,				allow_unicode=lowercase_						)						)
              else:
                     raise ValueError(
                         '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''						)


if __name__ == "__main__":
  _lowerCamelCase	:		Optional[Any]							       =   argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  _lowerCamelCase	:		str							       =   parser.parse_args()

  check_scheduler_doc(args.fix_and_overwrite)
  check_pipeline_doc(args.fix_and_overwrite)








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase	:		Any							       =   logging.get_logger(__name__)


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''encoder-decoder'''
    UpperCAmelCase__							  =      True


    def __init__(			self      :	List[str]					, **UpperCAmelCase__      :	Union[str, Any])						->List[Any]:





           '''simple docstring'''

           super().__init__(**UpperCAmelCase__)
           assert (
               "encoder" in kwargs and "decoder" in kwargs
           ), "Config has to be initialized with encoder and decoder config"
           A__       =    kwargs.pop('''encoder''')
           A__       =    encoder_config.pop('''model_type''')
           A__       =    kwargs.pop('''decoder''')
           A__       =    decoder_config.pop('''model_type''')

           from ..auto.configuration_auto import AutoConfig

           A__       =    AutoConfig.for_model(UpperCAmelCase__					, **UpperCAmelCase__)
           A__       =    AutoConfig.for_model(UpperCAmelCase__					, **UpperCAmelCase__)
           A__       =    True


    @classmethod
    def        SCREAMING_SNAKE_CASE							(			cls      :	Union[str, Any]					, UpperCAmelCase__      :	PretrainedConfig					, UpperCAmelCase__      :	PretrainedConfig					, **UpperCAmelCase__      :	Union[str, Any])						->PretrainedConfig:





           '''simple docstring'''

           logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config''')
           A__       =    True
           A__       =    True

           return cls(encoder=encoder_config.to_dict()					, decoder=decoder_config.to_dict()					, **UpperCAmelCase__)





    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->Optional[Any]:





           '''simple docstring'''

           A__       =    copy.deepcopy(self.__dict__)
           A__       =    self.encoder.to_dict()
           A__       =    self.decoder.to_dict()
           A__       =    self.__class__.model_type
           return output


