



'''simple docstring'''






import argparse
from collections import defaultdict

import yaml


lowerCAmelCase:					List[str]						       =						'docs/source/en/_toctree.yml'
def       lowerCamelCase__       (						_A				):
  a						:					int        =     defaultdict(SCREAMING_SNAKE_CASE_				)
  for doc in model_doc:
    counts[doc["local"]] += 1
  a						:					Any        =     [key for key, value in counts.items() if value > 1]

  a						:					Any        =     []
  for duplicate_key in duplicates:
    a						:					List[Any]        =     list({doc['title'] for doc in model_doc if doc['local'] == duplicate_key}				)
    if len(SCREAMING_SNAKE_CASE_				) > 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 model_doc if counts[doc['local']] == 1]				)

  # Sort
  return sorted(SCREAMING_SNAKE_CASE_ ,			key=lambda _A				: s["title"].lower()				)
def       lowerCamelCase__       (						_A=False				):
  with open(SCREAMING_SNAKE_CASE_ ,			encoding='utf-8'				) as f:
    a						:					List[str]        =     yaml.safe_load(f.read()				)

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

  # Then to the model doc
  a						:					str        =     0
  while api_doc[model_idx]["title"] != "Models":
    model_idx += 1

  a						:					List[str]        =     api_doc[model_idx]['sections']

  a						:					List[str]        =     [(idx, section) for idx, section in enumerate(SCREAMING_SNAKE_CASE_				) if 'sections' in section]
  a						:					Union[str, Any]        =     False
  for idx, modality_doc in modalities_docs:
    a						:					List[str]        =     modality_doc['sections']
    a						:					Any        =     clean_model_doc_toc(SCREAMING_SNAKE_CASE_				)

    if old_modality_doc != new_modality_doc:
      a						:					str        =     True
      if overwrite:
        a						:					str        =     new_modality_doc

  if diff:
    if overwrite:
      a						:					Any        =     model_doc
      a						:					Tuple        =     api_doc
      with open(SCREAMING_SNAKE_CASE_ ,			'w' ,			encoding='utf-8'				) as f:
        f.write(yaml.dump(SCREAMING_SNAKE_CASE_ ,			allow_unicode=SCREAMING_SNAKE_CASE_				)				)
    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:					int						       =						argparse.ArgumentParser()
     parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
     lowerCAmelCase:					List[Any]						       =						parser.parse_args()

     check_model_doc(args.fix_and_overwrite)





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


UpperCamelCase__    			=			logging.get_logger(__name__)

UpperCamelCase__    			=			{
    """edbeeching/decision-transformer-gym-hopper-medium""": (
        """https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json"""
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}
class 			a__    (					snake_case__      ):
						_a							:    Optional[int]					=    """decision_transformer"""
						_a							:    Optional[int]					=    ["""past_key_values"""]
						_a							:    Dict					=    {
						    """max_position_embeddings""": """n_positions""",
						    """num_attention_heads""": """n_head""",
						    """num_hidden_layers""": """n_layer""",
						}






						def __init__(   self		,			_A=1_7		,			_A=4		,			_A=1_2_8		,			_A=4_0_9_6		,			_A=True		,			_A=1		,			_A=1_0_2_4		,			_A=3		,			_A=1		,			_A=None		,			_A="relu"		,			_A=0.1		,			_A=0.1		,			_A=0.1		,			_A=1E-5		,			_A=0.02		,			_A=True		,			_A=True		,			_A=5_0_2_5_6		,			_A=5_0_2_5_6		,			_A=False		,			_A=False		,			**_A		,			):




											"""simple docstring"""



											__lowerCAmelCase				   =       state_dim
											__lowerCAmelCase				   =       act_dim
											__lowerCAmelCase				   =       hidden_size
											__lowerCAmelCase				   =       max_ep_len
											__lowerCAmelCase				   =       action_tanh
											__lowerCAmelCase				   =       vocab_size
											__lowerCAmelCase				   =       n_positions
											__lowerCAmelCase				   =       n_layer
											__lowerCAmelCase				   =       n_head
											__lowerCAmelCase				   =       n_inner
											__lowerCAmelCase				   =       activation_function
											__lowerCAmelCase				   =       resid_pdrop
											__lowerCAmelCase				   =       embd_pdrop
											__lowerCAmelCase				   =       attn_pdrop
											__lowerCAmelCase				   =       layer_norm_epsilon
											__lowerCAmelCase				   =       initializer_range
											__lowerCAmelCase				   =       scale_attn_weights
											__lowerCAmelCase				   =       use_cache
											__lowerCAmelCase				   =       scale_attn_by_inverse_layer_idx
											__lowerCAmelCase				   =       reorder_and_upcast_attn

											__lowerCAmelCase				   =       bos_token_id
											__lowerCAmelCase				   =       eos_token_id

											super().__init__(bos_token_id=_A		,			eos_token_id=_A		,			**_A			)




