


'''simple docstring'''



from __future__ import annotations

import pandas as pd






def     lowerCamelCase				(_SCREAMING_SNAKE_CASE :  int		, _SCREAMING_SNAKE_CASE :  Union[str, Any]		, _SCREAMING_SNAKE_CASE :  Any  ):
					__a     :			Optional[Any]          =    [0] * no_of_processes
					__a     :			Optional[Any]          =    [0] * no_of_processes
					# Copy the burst time into remaining_time[]
					for i in range(A__  ):
										__a     :			Optional[Any]          =    burst_time[i]

					__a     :			Tuple          =    0
					__a     :			Optional[int]          =    0
					__a     :			List[Any]          =    999_999_999
					__a     :			str          =    0
					__a     :			List[str]          =    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:
																									__a     :			Any          =    remaining_time[j]
																									__a     :			Optional[int]          =    j
																									__a     :			Union[str, Any]          =    True

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

										__a     :			Union[str, Any]          =    remaining_time[short]
										if minm == 0:
															__a     :			List[str]          =    999_999_999

										if remaining_time[short] == 0:
															complete += 1
															__a     :			Optional[Any]          =    False

															# Find finish time of current process
															__a     :			Union[str, Any]          =    increment_time + 1

															# Calculate waiting time
															__a     :			List[str]          =    finish_time - arrival_time[short]
															__a     :			Tuple          =    finar - burst_time[short]

															if waiting_time[short] < 0:
																				__a     :			Any          =    0

        # Increment time
										increment_time += 1
					return waiting_time






def     lowerCamelCase				(_SCREAMING_SNAKE_CASE :  Union[str, Any]		, _SCREAMING_SNAKE_CASE :  List[str]		, _SCREAMING_SNAKE_CASE :  List[Any]  ):
					__a     :			str          =    [0] * no_of_processes
					for i in range(A__  ):
										__a     :			List[Any]          =    burst_time[i] + waiting_time[i]
					return turn_around_time






def     lowerCamelCase				(_SCREAMING_SNAKE_CASE :  Dict		, _SCREAMING_SNAKE_CASE :  List[str]		, _SCREAMING_SNAKE_CASE :  str  ):
					__a     :			Any          =    0
					__a     :			Optional[Any]          =    0
					for i in range(A__  ):
										__a     :			Dict          =    total_waiting_time + waiting_time[i]
										__a     :			Optional[Any]          =    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')
	__lowercase      :		str			=      int(input())
	__lowercase      :		str			=      [0] * no_of_processes
	__lowercase      :		Optional[Any]			=      [0] * no_of_processes
	__lowercase      :		Any			=      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))
		__lowercase			, __lowercase      :		str			=      map(int, input().split())

	__lowercase      :		Any			=      calculate_waitingtime(arrival_time, burst_time, no_of_processes)

	__lowercase      :		List[Any]			=      burst_time
	__lowercase      :		Tuple			=      no_of_processes
	__lowercase      :		Dict			=      waiting_time
	__lowercase      :		Union[str, Any]			=      calculate_turnaroundtime(bt, n, wt)

	calculate_average_times(waiting_time, turn_around_time, no_of_processes)

	__lowercase      :		Union[str, Any]			=      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)











"""simple docstring"""
import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


lowerCamelCase_							      = {
    '''<''': operator.lt,
    '''<=''': operator.le,
    '''==''': operator.eq,
    '''!=''': operator.ne,
    '''>=''': operator.ge,
    '''>''': operator.gt,
}

def 							snake_case (  A__      ,A__      ,A__      ,A__      ,A__      ,A__		):
			if got_ver is None or want_ver is None:
						raise ValueError(
						    F"""Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"""
						    F""" reinstalling {pkg}."""		)
			if not ops[op](version.parse(A__		)      ,version.parse(A__		)		):
						raise ImportError(
						    F"""{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"""		)

def 							snake_case (  A__      ,A__ = None		):
			UpperCAmelCase_	:					int     	=   F"""\n{hint}""" if hint is not None else ""

			# non-versioned check
			if re.match(r"^[\w_\-\d]+$"      ,A__		):
						UpperCAmelCase_	,      UpperCAmelCase_	,      UpperCAmelCase_	:					Optional[Any]     	=   requirement, None, None
			else:
						UpperCAmelCase_	:					Optional[int]     	=   re.findall(r"^([^!=<>\s]+)([\s!=<>]{1,2}.+)"      ,A__		)
						if not match:
									raise ValueError(
									    "requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but"
									    F""" got {requirement}"""		)
						UpperCAmelCase_	,      UpperCAmelCase_	:					List[str]     	=   match[0]
						UpperCAmelCase_	:					Optional[Any]     	=   want_full.split(","		)  # there could be multiple requirements
						UpperCAmelCase_	:					int     	=   {}
						for w in want_range:
									UpperCAmelCase_	:					str     	=   re.findall(r"^([\s!=<>]{1,2})(.+)"      ,A__		)
									if not match:
												raise ValueError(
												    "requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,"
												    F""" but got {requirement}"""		)
									UpperCAmelCase_	,      UpperCAmelCase_	:					Any     	=   match[0]
									UpperCAmelCase_	:					Union[str, Any]     	=   want_ver
									if op not in ops:
												raise ValueError(F"""{requirement}: need one of {list(ops.keys()		)}, but got {op}"""		)

    # special case
			if pkg == "python":
						UpperCAmelCase_	:					List[Any]     	=   ".".join([str(A__		) for x in sys.version_info[:3]]		)
						for op, want_ver in wanted.items():
									_compare_versions(A__      ,A__      ,A__      ,A__      ,A__      ,A__		)
						return

			# check if any version is installed
			try:
						UpperCAmelCase_	:					str     	=   importlib.metadata.version(A__		)
			except importlib.metadata.PackageNotFoundError:
						raise importlib.metadata.PackageNotFoundError(
						    F"""The '{requirement}' distribution was not found and is required by this application. {hint}"""		)

			# check that the right version is installed if version number or a range was provided
			if want_ver is not None:
						for op, want_ver in wanted.items():
									_compare_versions(A__      ,A__      ,A__      ,A__      ,A__      ,A__		)




def 							snake_case (  A__		):
			UpperCAmelCase_	:					Any     	=   "Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main"
			return require_version(A__      ,A__		)



