


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


lowerCamelCase__							:						Union[str, Any]							     =   logging.get_logger(__name__)

lowerCamelCase__							:						str							     =   {
    """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 		__magic_name__						(snake_case_				):





     '''simple docstring'''



     __lowercase				:							Optional[int]	   =       'trajectory_transformer'
     __lowercase				:							List[Any]	   =       ['past_key_values']
     __lowercase				:							Dict	   =       {
         'hidden_size': 'n_embd',
         'num_attention_heads': 'n_head',
         'num_hidden_layers': 'n_layer',
     }

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





from __future__ import annotations

from statistics import mean







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase							,   __lowerCAmelCase							,   __lowerCAmelCase				)    ->				list[int]:
  snake_case__						= [0] * no_of_processes
  snake_case__						= [0] * no_of_processes

  # Initialize remaining_time to waiting_time.

  for i in range(__lowerCAmelCase				):
    snake_case__						= burst_time[i]
  snake_case__						= []

  snake_case__						= 0
  snake_case__						= 0

  # When processes are not completed,
  # A process whose arrival time has passed \
  # and has remaining execution time is put into the ready_process.
  # The shortest process in the ready_process, target_process is executed.

  while completed != no_of_processes:
    snake_case__						= []
    snake_case__						= -1

    for i in range(__lowerCAmelCase				):
      if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
        ready_process.append(__lowerCAmelCase				)

    if len(__lowerCAmelCase				) > 0:
      snake_case__						= ready_process[0]
      for i in ready_process:
        if remaining_time[i] < remaining_time[target_process]:
          snake_case__						= i
      total_time += burst_time[target_process]
      completed += 1
      snake_case__						= 0
      snake_case__						= (
          total_time - arrival_time[target_process] - burst_time[target_process]
      )
    else:
      total_time += 1

  return waiting_time







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase							,   __lowerCAmelCase							,   __lowerCAmelCase				)    ->				list[int]:
  snake_case__						= [0] * no_of_processes
  for i in range(__lowerCAmelCase				):
    snake_case__						= burst_time[i] + waiting_time[i]
  return turn_around_time


if __name__ == "__main__":
   print("""[TEST CASE 01]""")

   lowerCamelCase__							:						Tuple							     =   4
   lowerCamelCase__							:						Union[str, Any]							     =   [2, 5, 3, 7]
   lowerCamelCase__							:						Optional[Any]							     =   [0, 0, 0, 0]
   lowerCamelCase__							:						Dict							     =   calculate_waitingtime(arrival_time, burst_time, no_of_processes)
   lowerCamelCase__							:						Union[str, Any]							     =   calculate_turnaroundtime(
       burst_time, no_of_processes, waiting_time
   )

   # Printing the Result
   print("""PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time""")
   for i, process_id in enumerate(list(range(1, 5))):
      print(
          F"""{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"""
          F"""{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"""
      )
   print(F"""\nAverage waiting time = {mean(waiting_time):.5f}""")
   print(F"""Average turnaround time = {mean(turn_around_time):.5f}""")

