






"""simple docstring"""
from statistics import mean

import numpy as np

def        snake_case   (     A__			,A__			,A__			,A__		):
			UpperCAmelCase_  :				List[str]      =      0
			# Number of processes finished
			UpperCAmelCase_  :				Optional[Any]      =      0
			# Displays the finished process.
			# If it is 0, the performance is completed if it is 1, before the performance.
			UpperCAmelCase_  :				int      =      [0] * no_of_process
			# List to include calculation results
			UpperCAmelCase_  :				Optional[Any]      =      [0] * no_of_process

			# Sort by arrival time.
			UpperCAmelCase_  :				Dict      =      [burst_time[i] for i in np.argsort(__UpperCAmelCase		)]
			UpperCAmelCase_  :				Any      =      [process_name[i] for i in np.argsort(__UpperCAmelCase		)]
			arrival_time.sort()

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

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

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

			return turn_around_time

def        snake_case   (     A__			,A__			,A__			,A__		):
			UpperCAmelCase_  :				List[Any]      =      [0] * no_of_process
			for i in range(0			,__UpperCAmelCase		):
						UpperCAmelCase_  :				str      =      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 Mapping

from packaging import version

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


lowerCamelCase_       			=   logging.get_logger(__name__)

lowerCamelCase_       			=   {
    '''facebook/levit-128S''': '''https://huggingface.co/facebook/levit-128S/resolve/main/config.json''',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       '''levit'''





	def __init__(   self      :				List[str]			,			lowerCAmelCase_      :				int=224			,			lowerCAmelCase_      :				Union[str, Any]=3			,			lowerCAmelCase_      :				Tuple=3			,			lowerCAmelCase_      :				int=2			,			lowerCAmelCase_      :				str=1			,			lowerCAmelCase_      :				Optional[Any]=16			,			lowerCAmelCase_      :				Tuple=[128, 256, 384]			,			lowerCAmelCase_      :				Optional[int]=[4, 8, 12]			,			lowerCAmelCase_      :				str=[4, 4, 4]			,			lowerCAmelCase_      :				Dict=[16, 16, 16]			,			lowerCAmelCase_      :				int=0			,			lowerCAmelCase_      :				Optional[int]=[2, 2, 2]			,			lowerCAmelCase_      :				Any=[2, 2, 2]			,			lowerCAmelCase_      :				int=0.0_2			,			**lowerCAmelCase_      :				List[Any]			,			)		->    List[str]:
				super().__init__(**lowerCAmelCase_		)
				UpperCAmelCase_  :				int      =      image_size
				UpperCAmelCase_  :				List[Any]      =      num_channels
				UpperCAmelCase_  :				str      =      kernel_size
				UpperCAmelCase_  :				List[Any]      =      stride
				UpperCAmelCase_  :				List[str]      =      padding
				UpperCAmelCase_  :				Any      =      hidden_sizes
				UpperCAmelCase_  :				List[str]      =      num_attention_heads
				UpperCAmelCase_  :				List[str]      =      depths
				UpperCAmelCase_  :				int      =      key_dim
				UpperCAmelCase_  :				List[str]      =      drop_path_rate
				UpperCAmelCase_  :				str      =      patch_size
				UpperCAmelCase_  :				Tuple      =      attention_ratio
				UpperCAmelCase_  :				Optional[int]      =      mlp_ratio
				UpperCAmelCase_  :				Union[str, Any]      =      initializer_range
				UpperCAmelCase_  :				List[Any]      =      [
				    ["Subsample", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
				    ["Subsample", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
				]







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       version.parse('''1.11'''  )





	@property
	def   _SCREAMING_SNAKE_CASE   (   self      :				int		)		->    Mapping[str, Mapping[int, str]]:
				return OrderedDict(
				    [
				        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
				    ]		)





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



