



"""simple docstring"""






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    (	__SCREAMING_SNAKE_CASE  ):
   A__		:	Optional[int]           =  '''trajectory_transformer'''
   A__		:	Dict           =  ['''past_key_values''']
   A__		:	int           =  {
       '''hidden_size''': '''n_embd''',
       '''num_attention_heads''': '''n_head''',
       '''num_hidden_layers''': '''n_layer''',
   }



   def __init__(       self    :	List[Any]							,       __lowerCamelCase    :	Dict=1_0_0							,       __lowerCamelCase    :	Optional[Any]=5							,       __lowerCamelCase    :	Tuple=1							,       __lowerCamelCase    :	List[str]=1							,       __lowerCamelCase    :	List[str]=2_4_9							,       __lowerCamelCase    :	Tuple=6							,       __lowerCamelCase    :	List[str]=1_7							,       __lowerCamelCase    :	List[Any]=2_5							,       __lowerCamelCase    :	int=4							,       __lowerCamelCase    :	Optional[Any]=4							,       __lowerCamelCase    :	Union[str, Any]=1_2_8							,       __lowerCamelCase    :	Tuple=0.1							,       __lowerCamelCase    :	str=0.1							,       __lowerCamelCase    :	Optional[int]=0.1							,       __lowerCamelCase    :	Any=0.0_0_0_6							,       __lowerCamelCase    :	int=5_1_2							,       __lowerCamelCase    :	Any=0.0_2							,       __lowerCamelCase    :	List[str]=1E-12							,       __lowerCamelCase    :	Dict=1							,       __lowerCamelCase    :	Optional[int]=True							,       __lowerCamelCase    :	Dict=1							,       __lowerCamelCase    :	Dict=5_0_2_5_6							,       __lowerCamelCase    :	List[Any]=5_0_2_5_6							,       **__lowerCamelCase    :	str							,       ):



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










"""simple docstring"""






from math import sqrt




def 			snake_case		(		lowerCAmelCase_ = 1000000	)						->				int:
  _snake_case   	=      0
  _snake_case   	=      0
  _snake_case   	=      42

  while num_cuboids <= limit:
    max_cuboid_size += 1
    for sum_shortest_sides in range(2  ,						2 * max_cuboid_size + 1	):
      if sqrt(sum_shortest_sides**2 + max_cuboid_size**2	).is_integer():
        num_cuboids += (
            min(lowerCAmelCase_  ,						sum_shortest_sides // 2	)
            - max(1  ,						sum_shortest_sides - max_cuboid_size	)
            + 1
        )

  return max_cuboid_size


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





