



from statistics import mean

import numpy as np

def 			A_      (	__a     :				list ,		__a     :				list ,		__a     :				list ,		__a     :				int		):

				"""simple docstring"""
				a__				      =		0
				# Number of processes finished
				a__				      =		0
				# Displays the finished process.
				# If it is 0, the performance is completed if it is 1, before the performance.
				a__				      =		[0] * no_of_process
				# List to include calculation results
				a__				      =		[0] * no_of_process

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

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

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

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

				return turn_around_time

def 			A_      (	__a     :				list ,		__a     :				list ,		__a     :				list ,		__a     :				int		):

				"""simple docstring"""
				a__				      =		[0] * no_of_process
				for i in range(0 ,		__a		):
								a__				      =		turn_around_time[i] - burst_time[i]
				return waiting_time


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

	UpperCAmelCase							 =					calculate_turn_around_time(
	    process_name, arrival_time, burst_time, no_of_process
	)
	UpperCAmelCase							 =					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}""")






def 			A_      (	__a     :				str = "The quick brown fox jumps over the lazy dog" ,		):

				"""simple docstring"""
				a__				      =		set()

				# Replace all the whitespace in our sentence
				a__				      =		input_str.replace(""" """ ,		""""""		)
				for alpha in input_str:
								if "a" <= alpha.lower() <= "z":
												frequency.add(alpha.lower()		)
				return len(__a		) == 26

def 			A_      (	__a     :				str = "The quick brown fox jumps over the lazy dog" ,		):

				"""simple docstring"""
				a__				      =		[False] * 26
				for char in input_str:
								if char.islower():
												a__				      =		True
								elif char.isupper():
												a__				      =		True
				return all(__a		)

def 			A_      (	__a     :				str = "The quick brown fox jumps over the lazy dog" ,		):

				"""simple docstring"""
				return len({char for char in input_str.lower() if char.isalpha()}		) == 26

def 			A_      (	):

				"""simple docstring"""
				from timeit import timeit

				a__				      =		"""from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
				print(timeit("""is_pangram()""" ,		setup=__a		)		)
				print(timeit("""is_pangram_faster()""" ,		setup=__a		)		)
				print(timeit("""is_pangram_fastest()""" ,		setup=__a		)		)
				# 5.348480500048026, 2.6477354579837993, 1.8470395830227062
				# 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	benchmark()

