





from __future__ import annotations

from statistics import mean







def    lowerCAmelCase__(						lowercase							:     list[int] ,  lowercase							:     list[int] ,  lowercase							:     int					)			->     Union[str, Any]:
  __snake_case :					Tuple          =							[0] * no_of_processes
  __snake_case :					Union[str, Any]          =							[0] * no_of_processes

  # Initialize remaining_time to waiting_time.

  for i in range(_lowerCamelCase					):
    __snake_case :					Union[str, Any]          =							burst_time[i]
  __snake_case :					Optional[int]          =							[]

  __snake_case :					Union[str, Any]          =							0
  __snake_case :					Optional[int]          =							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 :					Any          =							[]
    __snake_case :					Tuple          =							-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 :					Union[str, Any]          =							ready_process[0]
      for i in ready_process:
        if remaining_time[i] < remaining_time[target_process]:
          __snake_case :					List[str]          =							i
      total_time += burst_time[target_process]
      completed += 1
      __snake_case :					Dict          =							0
      __snake_case :					Optional[int]          =							(
          total_time - arrival_time[target_process] - burst_time[target_process]
      )
    else:
      total_time += 1

  return waiting_time







def    lowerCAmelCase__(						lowercase							:     list[int] ,  lowercase							:     int ,  lowercase							:     list[int]					)			->     Any:
  __snake_case :					List[Any]          =							[0] * no_of_processes
  for i in range(_lowerCamelCase					):
    __snake_case :					Any          =							burst_time[i] + waiting_time[i]
  return turn_around_time


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

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








'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCAmelCase				:      Optional[Any]						      =logging.get_logger(__name__)

__lowerCAmelCase				:      str						      ={
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							"""distilbert"""
 __lowercase  						=							{
     """hidden_size""": """dim""",
     """num_attention_heads""": """n_heads""",
     """num_hidden_layers""": """n_layers""",
 }
 def __init__(							self :Tuple		,			lowercase_ :List[str]=3_05_22		,			lowercase_ :Tuple=5_12		,			lowercase_ :List[str]=False		,			lowercase_ :int=6		,			lowercase_ :Optional[int]=12		,			lowercase_ :Optional[int]=7_68		,			lowercase_ :str=4 * 7_68		,			lowercase_ :List[Any]=0.1		,			lowercase_ :str=0.1		,			lowercase_ :Optional[int]="gelu"		,			lowercase_ :Optional[Any]=0.0_2		,			lowercase_ :Optional[Any]=0.1		,			lowercase_ :List[Any]=0.2		,			lowercase_ :str=0		,			**lowercase_ :Union[str, Any]		,			)->				str:
     A__							=     vocab_size
     A__							=     max_position_embeddings
     A__							=     sinusoidal_pos_embds
     A__							=     n_layers
     A__							=     n_heads
     A__							=     dim
     A__							=     hidden_dim
     A__							=     dropout
     A__							=     attention_dropout
     A__							=     activation
     A__							=     initializer_range
     A__							=     qa_dropout
     A__							=     seq_classif_dropout
     super().__init__(**lowercase_		,			pad_token_id=lowercase_				)






class   UpperCAmelCase      (			UpperCamelCase__							):
 @property
 def 	UpperCAmelCase_				(							self :List[str]				)->				Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         A__							=     {0: "batch", 1: "choice", 2: "sequence"}
     else:
         A__							=     {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
         ]				)



