"""simple docstring"""




from __future__ import annotations






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = False       ,    ):






							"""simple docstring"""





							A__	     =							cipher_alphabet or [chr(UpperCamelCase__				) for i in range(97       ,    123				)]

							# If the argument is None or the user provided an empty dictionary
							if not frequencies_dict:
														# Frequencies of letters in the english language (how much they show up)
														A__	     =							{
														    'a': 0.0_8_4_9_7,
														    'b': 0.0_1_4_9_2,
														    'c': 0.0_2_2_0_2,
														    'd': 0.0_4_2_5_3,
														    'e': 0.1_1_1_6_2,
														    'f': 0.0_2_2_2_8,
														    'g': 0.0_2_0_1_5,
														    'h': 0.0_6_0_9_4,
														    'i': 0.0_7_5_4_6,
														    'j': 0.0_0_1_5_3,
														    'k': 0.0_1_2_9_2,
														    'l': 0.0_4_0_2_5,
														    'm': 0.0_2_4_0_6,
														    'n': 0.0_6_7_4_9,
														    'o': 0.0_7_5_0_7,
														    'p': 0.0_1_9_2_9,
														    'q': 0.0_0_0_9_5,
														    'r': 0.0_7_5_8_7,
														    's': 0.0_6_3_2_7,
														    't': 0.0_9_3_5_6,
														    'u': 0.0_2_7_5_8,
														    'v': 0.0_0_9_7_8,
														    'w': 0.0_2_5_6_0,
														    'x': 0.0_0_1_5_0,
														    'y': 0.0_1_9_9_4,
														    'z': 0.0_0_0_7_7,
														}
							else:
														# Custom frequencies dictionary
														A__	     =							frequencies_dict

							if not case_sensitive:
														A__	     =							ciphertext.lower()

							# Chi squared statistic values
							A__	     =							{}

							# cycle through all of the shifts
							for shift in range(len(UpperCamelCase__				)				):
														A__	     =							''

														# decrypt the message with the shift
														for letter in ciphertext:
																					try:
																												# Try to index the letter in the alphabet
																												A__	     =							(alphabet_letters.index(letter.lower()				) - shift) % len(
																												    UpperCamelCase__				)
																												decrypted_with_shift += (
																												    alphabet_letters[new_key].upper()
																												    if case_sensitive and letter.isupper()
																												    else alphabet_letters[new_key]
																												)
																					except ValueError:
																												# Append the character if it isn't in the alphabet
																												decrypted_with_shift += letter

														A__	     =							0.0

														# Loop through each letter in the decoded message with the shift
														for letter in decrypted_with_shift:
																					if case_sensitive:
																												A__	     =							letter.lower()
																												if letter in frequencies:
																																			# Get the amount of times the letter occurs in the message
																																			A__	     =							decrypted_with_shift.lower().count(UpperCamelCase__				)

																																			# Get the excepcted amount of times the letter should appear based
																																			# on letter frequencies
																																			A__	     =							frequencies[letter] * occurrences

																																			# Complete the chi squared statistic formula
																																			A__	     =							((occurrences - expected) ** 2) / expected

																																			# Add the margin of error to the total chi squared statistic
																																			chi_squared_statistic += chi_letter_value
																					else:
																												if letter.lower() in frequencies:
																																			# Get the amount of times the letter occurs in the message
																																			A__	     =							decrypted_with_shift.count(UpperCamelCase__				)

																																			# Get the excepcted amount of times the letter should appear based
																																			# on letter frequencies
																																			A__	     =							frequencies[letter] * occurrences

																																			# Complete the chi squared statistic formula
																																			A__	     =							((occurrences - expected) ** 2) / expected

																																			# Add the margin of error to the total chi squared statistic
																																			chi_squared_statistic += chi_letter_value

        # Add the data to the chi_squared_statistic_values dictionary
														A__	     =							(
														    chi_squared_statistic,
														    decrypted_with_shift,
														)

							# Get the most likely cipher by finding the cipher with the smallest chi squared
							# statistic
							def chi_squared_statistic_values_sorting_key(UpperCamelCase__				) -> tuple[float, str]:
														return chi_squared_statistic_values[key]

							A__	     =							min(
							    UpperCamelCase__       ,    key=UpperCamelCase__       ,    )

							# Get all the data from the most likely cipher (key, decoded message)
							(
							    (
							    A__
							)     ,  (
							    A__
							)     ,  
							)	     =							chi_squared_statistic_values[most_likely_cipher]

							# Return the data on the most likely shift
							return (
							    most_likely_cipher,
							    most_likely_cipher_chi_squared_value,
							    decoded_most_likely_cipher,
							)






"""simple docstring"""




from __future__ import annotations

import pandas as pd






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							[0] * no_of_processes
							A__	     =							[0] * no_of_processes
							# Copy the burst time into remaining_time[]
							for i in range(UpperCamelCase__				):
														A__	     =							burst_time[i]

							A__	     =							0
							A__	     =							0
							A__	     =							999_999_999
							A__	     =							0
							A__	     =							False

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

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

														A__	     =							remaining_time[short]
														if minm == 0:
																					A__	     =							999_999_999

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

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

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

																					if waiting_time[short] < 0:
																												A__	     =							0

        # Increment time
														increment_time += 1
							return waiting_time






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							[0] * no_of_processes
							for i in range(UpperCamelCase__				):
														A__	     =							burst_time[i] + waiting_time[i]
							return turn_around_time






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							0
							A__	     =							0
							for i in range(UpperCamelCase__				):
														A__	     =							total_waiting_time + waiting_time[i]
														A__	     =							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")
				__lowerCamelCase											=  int(input())
				__lowerCamelCase											=  [0] * no_of_processes
				__lowerCamelCase											=  [0] * no_of_processes
				__lowerCamelCase											=  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))
								__lowerCamelCase				,   __lowerCamelCase											=  map(int, input().split())

				__lowerCamelCase											=  calculate_waitingtime(arrival_time, burst_time, no_of_processes)

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

				calculate_average_times(waiting_time, turn_around_time, no_of_processes)

				__lowerCamelCase											=  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)





