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


__UpperCamelCase	: Optional[int]    		=  logging.get_logger(__name__)

__UpperCamelCase	: Dict    		=  {
    '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       lowercase__		(     UpperCamelCase_):
						UpperCamelCase_  =	"""decision_transformer"""
						UpperCamelCase_  =	["""past_key_values"""]
						UpperCamelCase_  =	{
						    """max_position_embeddings""": """n_positions""",
						    """num_attention_heads""": """n_head""",
						    """num_hidden_layers""": """n_layer""",
						}


						def __init__( self			:       str					,	UpperCamelCase__			:       Optional[int]=17					,	UpperCamelCase__			:       int=4					,	UpperCamelCase__			:       Any=128					,	UpperCamelCase__			:       Dict=4096					,	UpperCamelCase__			:       Union[str, Any]=True					,	UpperCamelCase__			:       str=1					,	UpperCamelCase__			:       List[Any]=1024					,	UpperCamelCase__			:       Union[str, Any]=3					,	UpperCamelCase__			:       Optional[int]=1					,	UpperCamelCase__			:       Union[str, Any]=None					,	UpperCamelCase__			:       Union[str, Any]="relu"					,	UpperCamelCase__			:       Tuple=0.1					,	UpperCamelCase__			:       str=0.1					,	UpperCamelCase__			:       str=0.1					,	UpperCamelCase__			:       Optional[int]=1E-5					,	UpperCamelCase__			:       Union[str, Any]=0.02					,	UpperCamelCase__			:       Union[str, Any]=True					,	UpperCamelCase__			:       Dict=True					,	UpperCamelCase__			:       List[str]=5_0256					,	UpperCamelCase__			:       int=5_0256					,	UpperCamelCase__			:       List[Any]=False					,	UpperCamelCase__			:       Any=False					,	**UpperCamelCase__			:       Optional[int]					,	):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					int           =							state_dim
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							act_dim
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							hidden_size
												SCREAMING_SNAKE_CASE							:					Any           =							max_ep_len
												SCREAMING_SNAKE_CASE							:					List[str]           =							action_tanh
												SCREAMING_SNAKE_CASE							:					str           =							vocab_size
												SCREAMING_SNAKE_CASE							:					Tuple           =							n_positions
												SCREAMING_SNAKE_CASE							:					List[Any]           =							n_layer
												SCREAMING_SNAKE_CASE							:					str           =							n_head
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							n_inner
												SCREAMING_SNAKE_CASE							:					List[str]           =							activation_function
												SCREAMING_SNAKE_CASE							:					int           =							resid_pdrop
												SCREAMING_SNAKE_CASE							:					Any           =							embd_pdrop
												SCREAMING_SNAKE_CASE							:					str           =							attn_pdrop
												SCREAMING_SNAKE_CASE							:					Tuple           =							layer_norm_epsilon
												SCREAMING_SNAKE_CASE							:					int           =							initializer_range
												SCREAMING_SNAKE_CASE							:					List[str]           =							scale_attn_weights
												SCREAMING_SNAKE_CASE							:					List[Any]           =							use_cache
												SCREAMING_SNAKE_CASE							:					List[Any]           =							scale_attn_by_inverse_layer_idx
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							reorder_and_upcast_attn

												SCREAMING_SNAKE_CASE							:					Dict           =							bos_token_id
												SCREAMING_SNAKE_CASE							:					Tuple           =							eos_token_id

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






import os

try:
					from .build_directory_md import good_file_paths
except ImportError:
					from build_directory_md import good_file_paths  # type: ignore

__UpperCamelCase	: Dict    		=  list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__UpperCamelCase	: Tuple    		=  [file for file in filepaths if file != file.lower()]
if upper_files:
					print(f"""{len(upper_files)} files contain uppercase characters:""")
					print('\n'.join(upper_files) + '\n')

__UpperCamelCase	: List[Any]    		=  [file for file in filepaths if ' ' in file]
if space_files:
					print(f"""{len(space_files)} files contain space characters:""")
					print('\n'.join(space_files) + '\n')

__UpperCamelCase	: List[Any]    		=  [file for file in filepaths if '-' in file]
if hyphen_files:
					print(f"""{len(hyphen_files)} files contain hyphen characters:""")
					print('\n'.join(hyphen_files) + '\n')

__UpperCamelCase	: List[Any]    		=  [file for file in filepaths if os.sep not in file]
if nodir_files:
					print(f"""{len(nodir_files)} files are not in a directory:""")
					print('\n'.join(nodir_files) + '\n')

__UpperCamelCase	: Optional[Any]    		=  len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
					import sys

					sys.exit(bad_files)





