

"""simple docstring"""




import argparse
from collections import defaultdict

import yaml


__UpperCAmelCase			=					'docs/source/en/_toctree.yml'
def 	lowerCAmelCase    (       __UpperCamelCase   ):
 '''simple docstring'''





 UpperCAmelCase__       :	List[str]        =       defaultdict(__UpperCamelCase   )
 UpperCAmelCase__       :	Any        =       []
 UpperCAmelCase__       :	Tuple        =       []
 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(__UpperCamelCase   )

 UpperCAmelCase__       :	Optional[int]        =       new_doc_list
 UpperCAmelCase__       :	Tuple        =       [key for key, value in counts.items() if value > 1]

 UpperCAmelCase__       :	str        =       []
 for duplicate_key in duplicates:
  UpperCAmelCase__       :	Tuple        =       list({doc["""title"""] for doc in doc_list if doc["""local"""] == duplicate_key}   )
  if len(__UpperCamelCase   ) > 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]   )
 UpperCAmelCase__       :	List[str]        =       sorted(__UpperCamelCase				,     key=lambda __UpperCamelCase   : s["title"].lower()   )

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

 overview_doc.extend(__UpperCamelCase   )

 # Sort
 return overview_doc
def 	lowerCAmelCase    (       __UpperCamelCase=False   ):
 '''simple docstring'''





 with open(__UpperCamelCase				,     encoding="""utf-8"""   ) as f:
  UpperCAmelCase__       :	Tuple        =       yaml.safe_load(f.read()   )

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

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

 UpperCAmelCase__       :	Union[str, Any]        =       api_doc[scheduler_idx]["""sections"""]
 UpperCAmelCase__       :	Dict        =       clean_doc_toc(__UpperCamelCase   )

 UpperCAmelCase__       :	Dict        =       False
 if new_scheduler_doc != scheduler_doc:
  UpperCAmelCase__       :	Optional[Any]        =       True
  if overwrite:
   UpperCAmelCase__       :	int        =       new_scheduler_doc

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





 with open(__UpperCamelCase				,     encoding="""utf-8"""   ) as f:
  UpperCAmelCase__       :	List[str]        =       yaml.safe_load(f.read()   )

 # Get to the API doc
 UpperCAmelCase__       :	Optional[Any]        =       0
 while content[api_idx]["title"] != "API":
  api_idx += 1
 UpperCAmelCase__       :	Tuple        =       content[api_idx]["""sections"""]

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

 UpperCAmelCase__       :	str        =       False
 UpperCAmelCase__       :	List[Any]        =       api_doc[pipeline_idx]["""sections"""]
 UpperCAmelCase__       :	str        =       []

 # sort sub pipeline docs
 for pipeline_doc in pipeline_docs:
  if "section" in pipeline_doc:
   UpperCAmelCase__       :	Optional[Any]        =       pipeline_doc["""section"""]
   UpperCAmelCase__       :	Union[str, Any]        =       clean_doc_toc(__UpperCamelCase   )
   if overwrite:
    UpperCAmelCase__       :	str        =       new_sub_pipeline_doc
  new_pipeline_docs.append(__UpperCamelCase   )

 # sort overall pipeline doc
 UpperCAmelCase__       :	List[str]        =       clean_doc_toc(__UpperCamelCase   )

 if new_pipeline_docs != pipeline_docs:
  UpperCAmelCase__       :	Any        =       True
  if overwrite:
   UpperCAmelCase__       :	List[str]        =       new_pipeline_docs

 if diff:
  if overwrite:
   UpperCAmelCase__       :	Optional[int]        =       api_doc
   with open(__UpperCamelCase				,     """w"""				,     encoding="""utf-8"""   ) as f:
    f.write(yaml.dump(__UpperCamelCase				,     allow_unicode=__UpperCamelCase   )   )
  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__":
      __UpperCAmelCase			=					argparse.ArgumentParser()
      parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
      __UpperCAmelCase			=					parser.parse_args()

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












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


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class 			__UpperCamelCase    (							A__    ):
     __A	:  Any							  =   """biogpt"""





     def __init__(     self				,							_UpperCamelCase=42384				,							_UpperCamelCase=1024				,							_UpperCamelCase=24				,							_UpperCamelCase=16				,							_UpperCamelCase=4096				,							_UpperCamelCase="gelu"				,							_UpperCamelCase=0.1				,							_UpperCamelCase=0.1				,							_UpperCamelCase=1024				,							_UpperCamelCase=0.02				,							_UpperCamelCase=1e-12				,							_UpperCamelCase=True				,							_UpperCamelCase=True				,							_UpperCamelCase=0.0				,							_UpperCamelCase=0.0				,							_UpperCamelCase=1				,							_UpperCamelCase=0				,							_UpperCamelCase=2				,							**_UpperCamelCase				,							):
        _UpperCAmelCase           =   vocab_size
        _UpperCAmelCase           =   max_position_embeddings
        _UpperCAmelCase           =   hidden_size
        _UpperCAmelCase           =   num_hidden_layers
        _UpperCAmelCase           =   num_attention_heads
        _UpperCAmelCase           =   intermediate_size
        _UpperCAmelCase           =   hidden_act
        _UpperCAmelCase           =   hidden_dropout_prob
        _UpperCAmelCase           =   attention_probs_dropout_prob
        _UpperCAmelCase           =   initializer_range
        _UpperCAmelCase           =   layer_norm_eps
        _UpperCAmelCase           =   scale_embedding
        _UpperCAmelCase           =   use_cache
        _UpperCAmelCase           =   layerdrop
        _UpperCAmelCase           =   activation_dropout
        super().__init__(pad_token_id=_UpperCamelCase				,							bos_token_id=_UpperCamelCase				,							eos_token_id=_UpperCamelCase				,							**_UpperCamelCase					)