
'''simple docstring'''






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


__lowerCamelCase			      =      logging.get_logger(__name__)

__lowerCamelCase			      =      {
    '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     __snake_case		(   a__):
					_lowerCAmelCase			     =	'''decision_transformer'''
					_lowerCAmelCase			     =	['''past_key_values''']
					_lowerCAmelCase			     =	{
					    '''max_position_embeddings''': '''n_positions''',
					    '''num_attention_heads''': '''n_head''',
					    '''num_hidden_layers''': '''n_layer''',
					}
					def __init__(     self,    A=17,    A=4,    A=128,    A=4096,    A=True,    A=1,    A=1024,    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_0256,    A=5_0256,    A=False,    A=False,    **A,    ):

									"""simple docstring"""


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

									lowerCamelCase					:			str									= bos_token_id
									lowerCamelCase					:			List[str]									= eos_token_id

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


'''simple docstring'''






from __future__ import annotations

A			      =      '#'




class     __snake_case		:
					def __init__(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			dict									= {}
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= self._trie
									for char in text:
													if char not in trie:
																	lowerCamelCase					:			Dict									= {}
													lowerCamelCase					:			Optional[int]									= trie[char]
									lowerCamelCase					:			Optional[Any]									= True
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= self._trie
									for char in prefix:
													if char in trie:
																	lowerCamelCase					:			int									= trie[char]
													else:
																	return []
									return self._elements(A      )




					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= []
									for c, v in d.items():
													lowerCamelCase					:			Optional[Any]									= [' '] if c == END else [(c + s) for s in self._elements(A      )]
													result.extend(A      )
									return tuple(A      )





A			      =      Trie()
A			      =      ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
					trie.insert_word(word)





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Any									= trie.find_word(UpperCAmelCase__)
				return tuple(string + word for word in suffixes)





def    UpperCAmelCase							(  ):
				print(autocomplete_using_trie('de'))


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
