

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


_lowerCamelCase      :					List[str]					    =      logging.get_logger(__name__)

_lowerCamelCase      :					Union[str, Any]					    =      {
    '''SCUT-DLVCLab/lilt-roberta-en-base''': (
        '''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'''
    ),
}





class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       lowercase_						=    """lilt"""

       def __init__(							self ,   lowercase__=3_0_5_2_2 ,   lowercase__=7_6_8 ,   lowercase__=1_2 ,   lowercase__=1_2 ,   lowercase__=3_0_7_2 ,   lowercase__="gelu" ,   lowercase__=0.1 ,   lowercase__=0.1 ,   lowercase__=5_1_2 ,   lowercase__=2 ,   lowercase__=0.02 ,   lowercase__=1E-12 ,   lowercase__=0 ,   lowercase__="absolute" ,   lowercase__=None ,   lowercase__=4 ,   lowercase__=1_0_2_4 ,   **lowercase__ ,   ):







             '''simple docstring'''



             super().__init__(pad_token_id=lowercase__ ,   **lowercase__     )

             __A    =vocab_size
             __A    =hidden_size
             __A    =num_hidden_layers
             __A    =num_attention_heads
             __A    =hidden_act
             __A    =intermediate_size
             __A    =hidden_dropout_prob
             __A    =attention_probs_dropout_prob
             __A    =max_position_embeddings
             __A    =type_vocab_size
             __A    =initializer_range
             __A    =layer_norm_eps
             __A    =position_embedding_type
             __A    =classifier_dropout
             __A    =channel_shrink_ratio
             __A    =max_ad_position_embeddings





from __future__ import annotations

from statistics import mean
def 	a (     A__      :  list[int] ,  A__      :  list[int] ,  A__      :  int	)       -> list[int]:





      """simple docstring"""



      _lowercase      			=[0] * no_of_processes
      _lowercase      			=[0] * no_of_processes

      # Initialize remaining_time to waiting_time.

      for i in range(A__	):
            _lowercase      			=burst_time[i]
      _lowercase      			=[]

      _lowercase      			=0
      _lowercase      			=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:
            _lowercase      			=[]
            _lowercase      			=-1

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

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

      return waiting_time
def 	a (     A__      :  list[int] ,  A__      :  int ,  A__      :  list[int]	)       -> list[int]:





      """simple docstring"""



      _lowercase      			=[0] * no_of_processes
      for i in range(A__	):
            _lowercase      			=burst_time[i] + waiting_time[i]
      return turn_around_time


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

  lowercase_   							=  4
  lowercase_   							=  [2, 5, 3, 7]
  lowercase_   							=  [0, 0, 0, 0]
  lowercase_   							=  calculate_waitingtime(arrival_time, burst_time, no_of_processes)
  lowercase_   							=  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}")


