



'''simple docstring'''



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


lowerCAmelCase_     :       List[Any]								=						logging.get_logger(__name__)

lowerCAmelCase_     :       Dict								=						{
    'CarlCochet/trajectory-transformer-halfcheetah-medium-v2': (
        'https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json'
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}
class 	lowerCamelCase_							(					snake_case_			):
						_lowerCAmelCase     :   Union[str, Any]	     =				'trajectory_transformer'
						_lowerCAmelCase     :   int	     =				['past_key_values']
						_lowerCAmelCase     :   List[str]	     =				{
						    'hidden_size': 'n_embd',
						    'num_attention_heads': 'n_head',
						    'num_hidden_layers': 'n_layer',
						}







						def __init__(  self   :      Any				,    lowerCAmelCase__   :      Tuple=1_00				,    lowerCAmelCase__   :      List[str]=5				,    lowerCAmelCase__   :      List[Any]=1				,    lowerCAmelCase__   :      Any=1				,    lowerCAmelCase__   :      Optional[Any]=2_49				,    lowerCAmelCase__   :      Union[str, Any]=6				,    lowerCAmelCase__   :      Dict=17				,    lowerCAmelCase__   :      Tuple=25				,    lowerCAmelCase__   :      str=4				,    lowerCAmelCase__   :      List[Any]=4				,    lowerCAmelCase__   :      Optional[int]=1_28				,    lowerCAmelCase__   :      int=0.1				,    lowerCAmelCase__   :      Optional[int]=0.1				,    lowerCAmelCase__   :      Optional[int]=0.1				,    lowerCAmelCase__   :      int=0.0006				,    lowerCAmelCase__   :      List[str]=5_12				,    lowerCAmelCase__   :      List[Any]=0.02				,    lowerCAmelCase__   :      Union[str, Any]=1e-12				,    lowerCAmelCase__   :      Optional[Any]=1				,    lowerCAmelCase__   :      Any=True				,    lowerCAmelCase__   :      Union[str, Any]=1				,    lowerCAmelCase__   :      Optional[int]=5_02_56				,    lowerCAmelCase__   :      int=5_02_56				,    **lowerCAmelCase__   :      List[str]				,    ):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			vocab_size
													SCREAMING_SNAKE_CASE					:      Tuple     					=			action_weight
													SCREAMING_SNAKE_CASE					:      Dict     					=			reward_weight
													SCREAMING_SNAKE_CASE					:      Tuple     					=			value_weight
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			max_position_embeddings
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			block_size
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			action_dim
													SCREAMING_SNAKE_CASE					:      List[str]     					=			observation_dim
													SCREAMING_SNAKE_CASE					:      int     					=			transition_dim
													SCREAMING_SNAKE_CASE					:      str     					=			learning_rate
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			n_layer
													SCREAMING_SNAKE_CASE					:      Any     					=			n_head
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			n_embd
													SCREAMING_SNAKE_CASE					:      str     					=			embd_pdrop
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			attn_pdrop
													SCREAMING_SNAKE_CASE					:      int     					=			resid_pdrop
													SCREAMING_SNAKE_CASE					:      int     					=			initializer_range
													SCREAMING_SNAKE_CASE					:      List[str]     					=			layer_norm_eps
													SCREAMING_SNAKE_CASE					:      str     					=			kaiming_initializer_range
													SCREAMING_SNAKE_CASE					:      Any     					=			use_cache
													super().__init__(pad_token_id=lowerCAmelCase__				,    bos_token_id=lowerCAmelCase__				,    eos_token_id=lowerCAmelCase__				,    **lowerCAmelCase__				)









'''simple docstring'''



import string
from math import logaa
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			document.translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				).replace('''\n'''					,		''''''				)
							SCREAMING_SNAKE_CASE					:      Tuple     					=			document_without_punctuation.split(''' '''				)  # word tokenization
							return len([word for word in tokenize_document if word.lower() == term.lower()]				)
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      int     					=			corpus.lower().translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				)  # strip all punctuation and replace it with ''
							SCREAMING_SNAKE_CASE					:      Any     					=			corpus_without_punctuation.split('''\n'''				)
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			term.lower()
							return (len([doc for doc in docs if term in doc]				), len(A				))
def 					UpperCAmelCase   (						A  :				int					,		A  :				int					,		A  :				str=False				):
							if smoothing:
														if n == 0:
																					raise ValueError('''log10(0) is undefined.'''				)
														return round(1 + logaa(n / (1 + df)				)					,		3				)

							if df == 0:
														raise ZeroDivisionError('''df must be > 0'''				)
							elif n == 0:
														raise ValueError('''log10(0) is undefined.'''				)
							return round(logaa(n / df				)					,		3				)






def 					UpperCAmelCase   (						A  :				int					,		A  :				int				):
							return round(tf * idf					,		3				)




