




'''simple docstring'''



from statistics import mean

import numpy as np
def 			SCREAMING_SNAKE_CASE_			(							__A    :			Dict	,					__A    :			Dict	,					__A    :			Optional[Any]	,					__A    :			Optional[int]  )			->			list:
   _SCREAMING_SNAKE_CASE	=				0
   # Number of processes finished
   _SCREAMING_SNAKE_CASE	=				0
   # Displays the finished process.
   # If it is 0, the performance is completed if it is 1, before the performance.
   _SCREAMING_SNAKE_CASE	=				[0] * no_of_process
   # List to include calculation results
   _SCREAMING_SNAKE_CASE	=				[0] * no_of_process

   # Sort by arrival time.
   _SCREAMING_SNAKE_CASE	=				[burst_time[i] for i in np.argsort(__A  )]
   _SCREAMING_SNAKE_CASE	=				[process_name[i] for i in np.argsort(__A  )]
   arrival_time.sort()

   while no_of_process > finished_process_count:
      _SCREAMING_SNAKE_CASE	=				0
      while finished_process[i] == 1:
         i += 1
      if current_time < arrival_time[i]:
         _SCREAMING_SNAKE_CASE	=				arrival_time[i]

      _SCREAMING_SNAKE_CASE	=				0
      # Index showing the location of the process being performed
      _SCREAMING_SNAKE_CASE	=				0
      # Saves the current response ratio.
      _SCREAMING_SNAKE_CASE	=				0
      for i in range(0	,					__A  ):
         if finished_process[i] == 0 and arrival_time[i] <= current_time:
            _SCREAMING_SNAKE_CASE	=				(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
                i
            ]
         if response_ratio < temp:
            _SCREAMING_SNAKE_CASE	=				temp
            _SCREAMING_SNAKE_CASE	=				i

        # Calculate the turn around time
      _SCREAMING_SNAKE_CASE	=				current_time + burst_time[loc] - arrival_time[loc]
      current_time += burst_time[loc]
      # Indicates that the process has been performed.
      _SCREAMING_SNAKE_CASE	=				1
      # Increase finished_process_count by 1
      finished_process_count += 1

   return turn_around_time
def 			SCREAMING_SNAKE_CASE_			(							__A    :			Tuple	,					__A    :			Union[str, Any]	,					__A    :			int	,					__A    :			Union[str, Any]  )			->			list:
   _SCREAMING_SNAKE_CASE	=				[0] * no_of_process
   for i in range(0	,					__A  ):
      _SCREAMING_SNAKE_CASE	=				turn_around_time[i] - burst_time[i]
   return waiting_time


if __name__ == "__main__":
 lowerCamelCase_			=						5
 lowerCamelCase_			=						['A', 'B', 'C', 'D', 'E']
 lowerCamelCase_			=						[1, 2, 3, 4, 5]
 lowerCamelCase_			=						[1, 2, 3, 4, 5]

 lowerCamelCase_			=						calculate_turn_around_time(
     process_name, arrival_time, burst_time, no_of_process
 )
 lowerCamelCase_			=						calculate_waiting_time(
     process_name, turn_around_time, burst_time, no_of_process
 )

 print('Process name \tArrival time \tBurst time \tTurn around time \tWaiting time')
 for i in range(0, no_of_process):
  print(
      f'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
      f'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
  )

 print(f'''average waiting time : {mean(waiting_time):.5f}''')
 print(f'''average turn around time : {mean(turn_around_time):.5f}''')







'''simple docstring'''



from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


lowerCamelCase_			=						logging.get_logger(__name__)

lowerCamelCase_			=						{
    'google/efficientnet-b7': 'https://huggingface.co/google/efficientnet-b7/resolve/main/config.json',
}







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						'''efficientnet'''



   def __init__(   self :     Optional[Any]  ,				__lowerCamelCase :     int = 3  ,				__lowerCamelCase :     int = 6_0_0  ,				__lowerCamelCase :     float = 2.0  ,				__lowerCamelCase :     float = 3.1  ,				__lowerCamelCase :     int = 8  ,				__lowerCamelCase :     List[int] = [3, 3, 5, 3, 5, 5, 3]  ,				__lowerCamelCase :     List[int] = [3_2, 1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2]  ,				__lowerCamelCase :     List[int] = [1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2, 3_2_0]  ,				__lowerCamelCase :     List[int] = []  ,				__lowerCamelCase :     List[int] = [1, 2, 2, 2, 1, 2, 1]  ,				__lowerCamelCase :     List[int] = [1, 2, 2, 3, 3, 4, 1]  ,				__lowerCamelCase :     List[int] = [1, 6, 6, 6, 6, 6, 6]  ,				__lowerCamelCase :     float = 0.2_5  ,				__lowerCamelCase :     str = "swish"  ,				__lowerCamelCase :     int = 2_5_6_0  ,				__lowerCamelCase :     str = "mean"  ,				__lowerCamelCase :     float = 0.0_2  ,				__lowerCamelCase :     float = 0.0_0_1  ,				__lowerCamelCase :     float = 0.9_9  ,				__lowerCamelCase :     float = 0.5  ,				__lowerCamelCase :     float = 0.2  ,				**__lowerCamelCase :     Tuple  ,				):

      """simple docstring"""
      super().__init__(**__lowerCamelCase   )

      _SCREAMING_SNAKE_CASE	=				num_channels
      _SCREAMING_SNAKE_CASE	=				image_size
      _SCREAMING_SNAKE_CASE	=				width_coefficient
      _SCREAMING_SNAKE_CASE	=				depth_coefficient
      _SCREAMING_SNAKE_CASE	=				depth_divisor
      _SCREAMING_SNAKE_CASE	=				kernel_sizes
      _SCREAMING_SNAKE_CASE	=				in_channels
      _SCREAMING_SNAKE_CASE	=				out_channels
      _SCREAMING_SNAKE_CASE	=				depthwise_padding
      _SCREAMING_SNAKE_CASE	=				strides
      _SCREAMING_SNAKE_CASE	=				num_block_repeats
      _SCREAMING_SNAKE_CASE	=				expand_ratios
      _SCREAMING_SNAKE_CASE	=				squeeze_expansion_ratio
      _SCREAMING_SNAKE_CASE	=				hidden_act
      _SCREAMING_SNAKE_CASE	=				hidden_dim
      _SCREAMING_SNAKE_CASE	=				pooling_type
      _SCREAMING_SNAKE_CASE	=				initializer_range
      _SCREAMING_SNAKE_CASE	=				batch_norm_eps
      _SCREAMING_SNAKE_CASE	=				batch_norm_momentum
      _SCREAMING_SNAKE_CASE	=				dropout_rate
      _SCREAMING_SNAKE_CASE	=				drop_connect_rate
      _SCREAMING_SNAKE_CASE	=				sum(__lowerCamelCase   ) * 4







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						version.parse('''1.11'''       )



   @property
   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      return OrderedDict(
          [
              ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
          ]   )



   @property
   def 							lowerCAmelCase_      (   self :     List[Any]   ):

      """simple docstring"""
      return 1e-5

