




from __future__ import annotations

import pandas as pd





def __UpperCamelCase			(       _A ,  _A ,  _A  ):
						lowerCAmelCase_      			=  [0] * no_of_processes
						lowerCAmelCase_      			=  [0] * no_of_processes
						# Copy the burst time into remaining_time[]
						for i in range(_A  ):
												lowerCAmelCase_      			=  burst_time[i]

						lowerCAmelCase_      			=  0
						lowerCAmelCase_      			=  0
						lowerCAmelCase_      			=  999999999
						lowerCAmelCase_      			=  0
						lowerCAmelCase_      			=  False

						# Process until all processes are completed
						while complete != no_of_processes:
												for j in range(_A  ):
																		if arrival_time[j] <= increment_time and remaining_time[j] > 0:
																								if remaining_time[j] < minm:
																														lowerCAmelCase_      			=  remaining_time[j]
																														lowerCAmelCase_      			=  j
																														lowerCAmelCase_      			=  True

												if not check:
																		increment_time += 1
																		continue
												remaining_time[short] -= 1

												lowerCAmelCase_      			=  remaining_time[short]
												if minm == 0:
																		lowerCAmelCase_      			=  999999999

												if remaining_time[short] == 0:
																		complete += 1
																		lowerCAmelCase_      			=  False

																		# Find finish time of current process
																		lowerCAmelCase_      			=  increment_time + 1

																		# Calculate waiting time
																		lowerCAmelCase_      			=  finish_time - arrival_time[short]
																		lowerCAmelCase_      			=  finar - burst_time[short]

																		if waiting_time[short] < 0:
																								lowerCAmelCase_      			=  0

        # Increment time
												increment_time += 1
						return waiting_time





def __UpperCamelCase			(       _A ,  _A ,  _A  ):
						lowerCAmelCase_      			=  [0] * no_of_processes
						for i in range(_A  ):
												lowerCAmelCase_      			=  burst_time[i] + waiting_time[i]
						return turn_around_time





def __UpperCamelCase			(       _A ,  _A ,  _A  ):
						lowerCAmelCase_      			=  0
						lowerCAmelCase_      			=  0
						for i in range(_A  ):
												lowerCAmelCase_      			=  total_waiting_time + waiting_time[i]
												lowerCAmelCase_      			=  total_turn_around_time + turn_around_time[i]
						print(f"Average waiting time = {total_waiting_time / no_of_processes:.5f}"  )
						print('''Average turn around time =''' ,  total_turn_around_time / no_of_processes  )


if __name__ == "__main__":
						print('''Enter how many process you want to analyze''')
						_A     =			int(input())
						_A     =			[0] * no_of_processes
						_A     =			[0] * no_of_processes
						_A     =			list(range(1, no_of_processes + 1))

						for i in range(no_of_processes):
												print('''Enter the arrival time and burst time for process:--''' + str(i + 1))
												_A   ,	_A     =			map(int, input().split())

						_A     =			calculate_waitingtime(arrival_time, burst_time, no_of_processes)

						_A     =			burst_time
						_A     =			no_of_processes
						_A     =			waiting_time
						_A     =			calculate_turnaroundtime(bt, n, wt)

						calculate_average_times(waiting_time, turn_around_time, no_of_processes)

						_A     =			pd.DataFrame(
						    list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
						    columns=[
						        '''Process''',
						        '''BurstTime''',
						        '''ArrivalTime''',
						        '''WaitingTime''',
						        '''TurnAroundTime''',
						    ],
						)

						# Printing the dataFrame
						pd.set_option('''display.max_rows''', fcfs.shape[0] + 1)
						print(fcfs)










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


_A     =			logging.get_logger(__name__)

_A     =			{
    '''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  A		(  __UpperCAmelCase     ):
		__snake_case									=   'vit'



		def __init__(     self,	UpperCamelCase__=768,	UpperCamelCase__=12,	UpperCamelCase__=12,	UpperCamelCase__=3072,	UpperCamelCase__="gelu",	UpperCamelCase__=0.0,	UpperCamelCase__=0.0,	UpperCamelCase__=0.02,	UpperCamelCase__=1E-12,	UpperCamelCase__=224,	UpperCamelCase__=16,	UpperCamelCase__=3,	UpperCamelCase__=True,	UpperCamelCase__=16,	**UpperCamelCase__,	):







								"""simple docstring"""



								super().__init__(**UpperCamelCase__   )

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







class  A		(  __UpperCAmelCase     ):
		__snake_case									=   version.parse('1.11'     )



		@property
		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



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







		@property
		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								return 1E-4




