from collections import OrderedDict
from typing import Mapping

from packaging import version

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


lowercase_     :   int 				=				logging.get_logger(__name__)

lowercase_     :   Any 				=				{
    'google/vit-base-patch16-224': 'https://huggingface.co/vit-base-patch16-224/resolve/main/config.json',
    # See all ViT models at https://huggingface.co/models?filter=vit
}






class 		_lowerCamelCase		(   UpperCamelCase_    ):
    __a  =      "vit"
    def __init__(  self , lowerCAmelCase=768 , lowerCAmelCase=12 , lowerCAmelCase=12 , lowerCAmelCase=3072 , lowerCAmelCase="gelu" , lowerCAmelCase=0.0 , lowerCAmelCase=0.0 , lowerCAmelCase=0.02 , lowerCAmelCase=1e-12 , lowerCAmelCase=224 , lowerCAmelCase=16 , lowerCAmelCase=3 , lowerCAmelCase=True , lowerCAmelCase=16 , **lowerCAmelCase , )       ->					Tuple:
     super().__init__(**lowerCAmelCase   )

     SCREAMING_SNAKE_CASE__:   str=      hidden_size
     SCREAMING_SNAKE_CASE__:   Any=      num_hidden_layers
     SCREAMING_SNAKE_CASE__:   Any=      num_attention_heads
     SCREAMING_SNAKE_CASE__:   Tuple=      intermediate_size
     SCREAMING_SNAKE_CASE__:   Optional[int]=      hidden_act
     SCREAMING_SNAKE_CASE__:   Tuple=      hidden_dropout_prob
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE__:   Optional[int]=      initializer_range
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      layer_norm_eps
     SCREAMING_SNAKE_CASE__:   Dict=      image_size
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      patch_size
     SCREAMING_SNAKE_CASE__:   int=      num_channels
     SCREAMING_SNAKE_CASE__:   Tuple=      qkv_bias
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      encoder_stride






class 		_lowerCamelCase		(   UpperCamelCase_    ):
    __a  =      version.parse("1.11"    )
    @property
    def 						UpperCamelCase_				(  self   )       ->					Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
         ]   )



    @property
    def 						UpperCamelCase_				(  self   )       ->					float:
     return 1e-4


from __future__ import annotations

from statistics import mean







def 			A__      (	snake_case_ :		list[int]       ,				snake_case_ :		list[int]       ,				snake_case_ :		int      ):
 SCREAMING_SNAKE_CASE__:   Dict=      [0] * no_of_processes
 SCREAMING_SNAKE_CASE__:   Dict=      [0] * no_of_processes

 # Initialize remaining_time to waiting_time.

 for i in range(snake_case_      ):
  SCREAMING_SNAKE_CASE__:   List[str]=      burst_time[i]
 SCREAMING_SNAKE_CASE__:   list[int]=      []

 SCREAMING_SNAKE_CASE__:   List[Any]=      0
 SCREAMING_SNAKE_CASE__:   List[Any]=      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:
  SCREAMING_SNAKE_CASE__:   Optional[int]=      []
  SCREAMING_SNAKE_CASE__:   List[str]=      -1

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

  if len(snake_case_      ) > 0:
   SCREAMING_SNAKE_CASE__:   Optional[int]=      ready_process[0]
   for i in ready_process:
    if remaining_time[i] < remaining_time[target_process]:
     SCREAMING_SNAKE_CASE__:   int=      i
   total_time += burst_time[target_process]
   completed += 1
   SCREAMING_SNAKE_CASE__:   str=      0
   SCREAMING_SNAKE_CASE__:   Tuple=      (
       total_time - arrival_time[target_process] - burst_time[target_process]
   )
  else:
   total_time += 1

 return waiting_time







def 			A__      (	snake_case_ :		list[int]       ,				snake_case_ :		int       ,				snake_case_ :		list[int]      ):
 SCREAMING_SNAKE_CASE__:   List[str]=      [0] * no_of_processes
 for i in range(snake_case_      ):
  SCREAMING_SNAKE_CASE__:   Dict=      burst_time[i] + waiting_time[i]
 return turn_around_time


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

      lowercase_     :   List[Any] 				=				4
      lowercase_     :   str 				=				[2, 5, 3, 7]
      lowercase_     :   Union[str, Any] 				=				[0, 0, 0, 0]
      lowercase_     :   Any 				=				calculate_waitingtime(arrival_time, burst_time, no_of_processes)
      lowercase_     :   Optional[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}''')

