



from statistics import mean

import numpy as np






def      _A				(UpperCamelCase		:      list      ,			UpperCamelCase		:      list      ,			UpperCamelCase		:      list      ,			UpperCamelCase		:      int )  ->list:



			'''simple docstring'''







			lowerCamelCase__ :      Optional[int]								=		0
			# Number of processes finished
			lowerCamelCase__ :      Dict								=		0
			# Displays the finished process.
			# If it is 0, the performance is completed if it is 1, before the performance.
			lowerCamelCase__ :      List[Any]								=		[0] * no_of_process
			# List to include calculation results
			lowerCamelCase__ :      str								=		[0] * no_of_process

			# Sort by arrival time.
			lowerCamelCase__ :      List[Any]								=		[burst_time[i] for i in np.argsort(UpperCamelCase )]
			lowerCamelCase__ :      List[str]								=		[process_name[i] for i in np.argsort(UpperCamelCase )]
			arrival_time.sort()

			while no_of_process > finished_process_count:
						lowerCamelCase__ :      Optional[int]								=		0
						while finished_process[i] == 1:
									i += 1
						if current_time < arrival_time[i]:
									lowerCamelCase__ :      Optional[Any]								=		arrival_time[i]

						lowerCamelCase__ :      Dict								=		0
						# Index showing the location of the process being performed
						lowerCamelCase__ :      int								=		0
						# Saves the current response ratio.
						lowerCamelCase__ :      Any								=		0
						for i in range(0      ,			UpperCamelCase ):
									if finished_process[i] == 0 and arrival_time[i] <= current_time:
												lowerCamelCase__ :      List[Any]								=		(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
												    i
												]
									if response_ratio < temp:
												lowerCamelCase__ :      Union[str, Any]								=		temp
												lowerCamelCase__ :      Optional[Any]								=		i

        # Calculate the turn around time
						lowerCamelCase__ :      List[str]								=		current_time + burst_time[loc] - arrival_time[loc]
						current_time += burst_time[loc]
						# Indicates that the process has been performed.
						lowerCamelCase__ :      Union[str, Any]								=		1
						# Increase finished_process_count by 1
						finished_process_count += 1

			return turn_around_time






def      _A				(UpperCamelCase		:      list      ,			UpperCamelCase		:      list      ,			UpperCamelCase		:      list      ,			UpperCamelCase		:      int )  ->list:



			'''simple docstring'''







			lowerCamelCase__ :      Union[str, Any]								=		[0] * no_of_process
			for i in range(0      ,			UpperCamelCase ):
						lowerCamelCase__ :      Union[str, Any]								=		turn_around_time[i] - burst_time[i]
			return waiting_time


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

				_lowercase     							=						calculate_turn_around_time(
				    process_name, arrival_time, burst_time, no_of_process
				)
				_lowercase     							=						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}''')








from __future__ import annotations






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      list[str] | None = None )  ->list[list[str]]:



			'''simple docstring'''







			lowerCamelCase__ :      List[str]								=		word_bank or []
			# create a table
			lowerCamelCase__ :      int								=		len(UpperCamelCase ) + 1

			lowerCamelCase__ :      list[list[list[str]]]								=		[]
			for _ in range(UpperCamelCase ):
						table.append([] )
			# seed value
			lowerCamelCase__ :      Tuple								=		[[]]  # because empty string has empty combination

			# iterate through the indices
			for i in range(UpperCamelCase ):
						# condition
						if table[i] != []:
									for word in word_bank:
												# slice condition
												if target[i : i + len(UpperCamelCase )] == word:
															lowerCamelCase__ :      list[list[str]]								=		[
															    [word, *way] for way in table[i]
															]
															# adds the word to every combination the current position holds
															# now,push that combination to the table[i+len(word)]
															table[i + len(UpperCamelCase )] += new_combinations

    # combinations are in reverse order so reverse for better output
			for combination in table[len(UpperCamelCase )]:
						combination.reverse()

			return table[len(UpperCamelCase )]


if __name__ == "__main__":
				print(all_construct('''jwajalapa''', ['''jwa''', '''j''', '''w''', '''a''', '''la''', '''lapa''']))
				print(all_construct('''rajamati''', ['''s''', '''raj''', '''amat''', '''raja''', '''ma''', '''i''', '''t''']))
				print(
				    all_construct(
				        '''hexagonosaurus''',
				        ['''h''', '''ex''', '''hex''', '''ag''', '''ago''', '''ru''', '''auru''', '''rus''', '''go''', '''no''', '''o''', '''s'''],
				    )
				)



