


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


__snake_case            =    logging.get_logger(__name__)

__snake_case            =    {
    "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    UpperCAmelCase					(       __snake_case    ):
			lowercase						= """trajectory_transformer"""
			lowercase						= ["""past_key_values"""]
			lowercase						= {
			    """hidden_size""": """n_embd""",
			    """num_attention_heads""": """n_head""",
			    """num_hidden_layers""": """n_layer""",
			}




			def __init__(						self							:		int       ,       __magic_name__							:		Union[str, Any]=1_0_0       ,       __magic_name__							:		List[Any]=5       ,       __magic_name__							:		Any=1       ,       __magic_name__							:		Union[str, Any]=1       ,       __magic_name__							:		List[str]=2_4_9       ,       __magic_name__							:		Tuple=6       ,       __magic_name__							:		Any=1_7       ,       __magic_name__							:		Any=2_5       ,       __magic_name__							:		Dict=4       ,       __magic_name__							:		List[Any]=4       ,       __magic_name__							:		Any=1_2_8       ,       __magic_name__							:		Any=0.1       ,       __magic_name__							:		Dict=0.1       ,       __magic_name__							:		List[str]=0.1       ,       __magic_name__							:		Any=0.0_006       ,       __magic_name__							:		Any=5_1_2       ,       __magic_name__							:		str=0.02       ,       __magic_name__							:		Tuple=1e-12       ,       __magic_name__							:		Optional[int]=1       ,       __magic_name__							:		Optional[Any]=True       ,       __magic_name__							:		Optional[Any]=1       ,       __magic_name__							:		Any=5_0_2_5_6       ,       __magic_name__							:		Union[str, Any]=5_0_2_5_6       ,       **__magic_name__							:		Any       ,       ):







						"""simple docstring"""







						UpperCamelCase         =					vocab_size
						UpperCamelCase         =					action_weight
						UpperCamelCase         =					reward_weight
						UpperCamelCase         =					value_weight
						UpperCamelCase         =					max_position_embeddings
						UpperCamelCase         =					block_size
						UpperCamelCase         =					action_dim
						UpperCamelCase         =					observation_dim
						UpperCamelCase         =					transition_dim
						UpperCamelCase         =					learning_rate
						UpperCamelCase         =					n_layer
						UpperCamelCase         =					n_head
						UpperCamelCase         =					n_embd
						UpperCamelCase         =					embd_pdrop
						UpperCamelCase         =					attn_pdrop
						UpperCamelCase         =					resid_pdrop
						UpperCamelCase         =					initializer_range
						UpperCamelCase         =					layer_norm_eps
						UpperCamelCase         =					kaiming_initializer_range
						UpperCamelCase         =					use_cache
						super().__init__(pad_token_id=__magic_name__       ,       bos_token_id=__magic_name__       ,       eos_token_id=__magic_name__       ,       **__magic_name__						)








import math






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int = 100	):





			"""simple docstring"""




			UpperCamelCase         =					sum(i * i for i in range(1       ,  n + 1	)	)
			UpperCamelCase         =					int(math.pow(sum(range(1       ,  n + 1	)	)       ,  2	)	)
			return square_of_sum - sum_of_squares


if __name__ == "__main__":
			print(F'''{solution() = }''')




