



'''simple docstring'''



from __future__ import annotations

from statistics import mean
def 					UpperCAmelCase   (						A  :				list[int]					,		A  :				list[int]					,		A  :				int				):
							SCREAMING_SNAKE_CASE					:      int     					=			[0] * no_of_processes
							SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			[0] * no_of_processes

							# Initialize remaining_time to waiting_time.

							for i in range(A				):
														SCREAMING_SNAKE_CASE					:      List[Any]     					=			burst_time[i]
							SCREAMING_SNAKE_CASE					:      list[int]     					=			[]

							SCREAMING_SNAKE_CASE					:      Tuple     					=			0
							SCREAMING_SNAKE_CASE					:      int     					=			0

							# When processes are not completed,
							# A process whose arrival time has passed \
							# and has remaining execution time is put into the ready_process.
							# The shortest process in the ready_process, target_process is executed.

							while completed != no_of_processes:
														SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			[]
														SCREAMING_SNAKE_CASE					:      List[Any]     					=			-1

														for i in range(A				):
																					if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
																												ready_process.append(A				)

														if len(A				) > 0:
																					SCREAMING_SNAKE_CASE					:      int     					=			ready_process[0]
																					for i in ready_process:
																												if remaining_time[i] < remaining_time[target_process]:
																																			SCREAMING_SNAKE_CASE					:      List[str]     					=			i
																					total_time += burst_time[target_process]
																					completed += 1
																					SCREAMING_SNAKE_CASE					:      str     					=			0
																					SCREAMING_SNAKE_CASE					:      List[Any]     					=			(
																					    total_time - arrival_time[target_process] - burst_time[target_process]
																					)
														else:
																					total_time += 1

							return waiting_time
def 					UpperCAmelCase   (						A  :				list[int]					,		A  :				int					,		A  :				list[int]				):
							SCREAMING_SNAKE_CASE					:      Any     					=			[0] * no_of_processes
							for i in range(A				):
														SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			burst_time[i] + waiting_time[i]
							return turn_around_time


if __name__ == "__main__":
							print('[TEST CASE 01]')

							lowerCAmelCase_     :       Dict								=						4
							lowerCAmelCase_     :       List[Any]								=						[2, 5, 3, 7]
							lowerCAmelCase_     :       int								=						[0, 0, 0, 0]
							lowerCAmelCase_     :       Tuple								=						calculate_waitingtime(arrival_time, burst_time, no_of_processes)
							lowerCAmelCase_     :       Any								=						calculate_turnaroundtime(
							    burst_time, no_of_processes, waiting_time
							)

							# Printing the Result
							print('PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time')
							for i, process_id in enumerate(list(range(1, 5))):
														print(
														    f'{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t'
														    f'{waiting_time[i]}\t\t\t\t{turn_around_time[i]}'
														)
							print(f'\nAverage waiting time = {mean(waiting_time):.5f}')
							print(f'Average turnaround time = {mean(turn_around_time):.5f}')









'''simple docstring'''



import string
from math import logaa
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			document.translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				).replace('''\n'''					,		''''''				)
							SCREAMING_SNAKE_CASE					:      Tuple     					=			document_without_punctuation.split(''' '''				)  # word tokenization
							return len([word for word in tokenize_document if word.lower() == term.lower()]				)
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      int     					=			corpus.lower().translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				)  # strip all punctuation and replace it with ''
							SCREAMING_SNAKE_CASE					:      Any     					=			corpus_without_punctuation.split('''\n'''				)
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			term.lower()
							return (len([doc for doc in docs if term in doc]				), len(A				))
def 					UpperCAmelCase   (						A  :				int					,		A  :				int					,		A  :				str=False				):
							if smoothing:
														if n == 0:
																					raise ValueError('''log10(0) is undefined.'''				)
														return round(1 + logaa(n / (1 + df)				)					,		3				)

							if df == 0:
														raise ZeroDivisionError('''df must be > 0'''				)
							elif n == 0:
														raise ValueError('''log10(0) is undefined.'''				)
							return round(logaa(n / df				)					,		3				)






def 					UpperCAmelCase   (						A  :				int					,		A  :				int				):
							return round(tf * idf					,		3				)




