

from statistics import mean

import numpy as np


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	0
						# Number of processes finished
						snake_case_   =	0
						# Displays the finished process.
						# If it is 0, the performance is completed if it is 1, before the performance.
						snake_case_   =	[0] * no_of_process
						# List to include calculation results
						snake_case_   =	[0] * no_of_process

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

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

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

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

						return turn_around_time


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	[0] * no_of_process
						for i in range(0  ,		SCREAMING_SNAKE_CASE__       ):
												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}""")


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


lowerCAmelCase_       	=	logging.get_logger(__name__)

lowerCAmelCase_       	=	{
    '''sayakpaul/vit-msn-base''': '''https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json''',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}





class 	snake_case_   (		__A					):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE     :   List[Any]									=				"vit_msn"







			def __init__(     self :				Dict							,   _UpperCamelCase :				Optional[int]=7_6_8							,   _UpperCamelCase :				Optional[Any]=1_2							,   _UpperCamelCase :				Union[str, Any]=1_2							,   _UpperCamelCase :				str=3_0_7_2							,   _UpperCamelCase :				Tuple="gelu"							,   _UpperCamelCase :				Dict=0.0							,   _UpperCamelCase :				Dict=0.0							,   _UpperCamelCase :				List[str]=0.02							,   _UpperCamelCase :				List[Any]=1e-06							,   _UpperCamelCase :				Any=2_2_4							,   _UpperCamelCase :				Optional[Any]=1_6							,   _UpperCamelCase :				Any=3							,   _UpperCamelCase :				str=True							,   **_UpperCamelCase :				Any							,   )      ->int:
									super().__init__(**_UpperCamelCase							)

									snake_case_   =	hidden_size
									snake_case_   =	num_hidden_layers
									snake_case_   =	num_attention_heads
									snake_case_   =	intermediate_size
									snake_case_   =	hidden_act
									snake_case_   =	hidden_dropout_prob
									snake_case_   =	attention_probs_dropout_prob
									snake_case_   =	initializer_range
									snake_case_   =	layer_norm_eps
									snake_case_   =	image_size
									snake_case_   =	patch_size
									snake_case_   =	num_channels
									snake_case_   =	qkv_bias