



from __future__ import annotations

def 	a						(				_UpperCAmelCase							: list[int]						):







		'''simple docstring'''





		__UpperCAmelCase   :					Union[str, Any]													=     [0] * len(_UpperCAmelCase						)
		for i in range(1			,       len(_UpperCAmelCase						)						):
				__UpperCAmelCase   :					List[str]													=     duration_times[i - 1] + waiting_times[i - 1]
		return waiting_times

def 	a						(				_UpperCAmelCase							: list[int]			,       _UpperCAmelCase							: list[int]						):







		'''simple docstring'''





		return [
		    duration_time + waiting_times[i]
		    for i, duration_time in enumerate(_UpperCAmelCase						)
		]

def 	a						(				_UpperCAmelCase							: list[int]						):







		'''simple docstring'''





		return sum(_UpperCAmelCase						) / len(_UpperCAmelCase						)

def 	a						(				_UpperCAmelCase							: list[int]						):







		'''simple docstring'''





		return sum(_UpperCAmelCase						) / len(_UpperCAmelCase						)


if __name__ == "__main__":
		# process id's
		__A             =[1, 2, 3]

		# ensure that we actually have processes
		if len(processes) == 0:
				print("Zero amount of processes")
				raise SystemExit(0)

		# duration time of all processes
		__A             =[1_9, 8, 9]

		# ensure we can match each id to a duration time
		if len(duration_times) != len(processes):
				print("Unable to match all id's with their duration time")
				raise SystemExit(0)

		# get the waiting times and the turnaround times
		__A             =calculate_waiting_times(duration_times)
		__A             =calculate_turnaround_times(duration_times, waiting_times)

		# get the average times
		__A             =calculate_average_waiting_time(waiting_times)
		__A             =calculate_average_turnaround_time(turnaround_times)

		# print all the results
		print("Process ID\tDuration Time\tWaiting Time\tTurnaround Time")
		for i, process in enumerate(processes):
				print(
				    f'''{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t'''
				    f'''{turnaround_times[i]}'''
				)
		print(f'''Average waiting time = {average_waiting_time}''')
		print(f'''Average turn around time = {average_turnaround_time}''')










def 	a						(				_UpperCAmelCase							: Optional[int]			,       _UpperCAmelCase							: List[Any]						):







		'''simple docstring'''





		__UpperCAmelCase   :					int													=     len(_UpperCAmelCase						)
		# Create a stack and push index of fist element to it
		__UpperCAmelCase   :					List[Any]													=     []
		st.append(0						)

		# Span value of first element is always 1
		__UpperCAmelCase   :					Any													=     1

		# Calculate span values for rest of the elements
		for i in range(1			,       _UpperCAmelCase						):
				# Pop elements from stack while stack is not
				# empty and top of stack is smaller than price[i]
				while len(_UpperCAmelCase						) > 0 and price[st[0]] <= price[i]:
						st.pop()

				# If stack becomes empty, then price[i] is greater
				# than all elements on left of it, i.e. price[0],
				# price[1], ..price[i-1]. Else the price[i]  is
				# greater than elements after top of stack
				__UpperCAmelCase   :					int													=     i + 1 if len(_UpperCAmelCase						) <= 0 else (i - st[0])

				# Push this element to stack
				st.append(_UpperCAmelCase						)

def 	a						(				_UpperCAmelCase							: Dict			,       _UpperCAmelCase							: List[str]						):







		'''simple docstring'''





		for i in range(0			,       _UpperCAmelCase						):
				print(arr[i]			,       end=''' '''						)


# Driver program to test above function
__A             =[1_0, 4, 5, 9_0, 1_2_0, 8_0]
__A             =[0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)
print_array(S, len(price))





