


'''simple docstring'''
from statistics import mean

import numpy as np


def     a   (    __a				,      __a				,      __a				,      __a     )						->			list:



					'''simple docstring'''






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

					# Sort by arrival time.
					UpperCamelCase__     :Any							      =				[burst_time[i] for i in np.argsort(__a     )]
					UpperCamelCase__     :Union[str, Any]							      =				[process_name[i] for i in np.argsort(__a     )]
					arrival_time.sort()

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

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

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

					return turn_around_time


def     a   (    __a				,      __a				,      __a				,      __a     )						->			list:



					'''simple docstring'''






					UpperCamelCase__     :Optional[Any]							      =				[0] * no_of_process
					for i in range(0				,      __a     ):
										UpperCamelCase__     :Tuple							      =				turn_around_time[i] - burst_time[i]
					return waiting_time


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

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



'''simple docstring'''
import json
import sys


def     a   (    __a				,      __a     )						->			str:



					'''simple docstring'''






					with open(__a				,      encoding='''utf-8'''     ) as f:
										UpperCamelCase__     :List[str]							      =				json.load(__a     )

					UpperCamelCase__     :int							      =				['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

					for benchmark_name in sorted(__a     ):
										UpperCamelCase__     :Optional[Any]							      =				results[benchmark_name]

										UpperCamelCase__     :int							      =				benchmark_name.split('''/'''     )[-1]
										output_md.append(f'''### Benchmark: {benchmark_file_name}'''     )

										UpperCamelCase__     :List[str]							      =				'''| metric |'''
										UpperCamelCase__     :str							      =				'''|--------|'''
										UpperCamelCase__     :Union[str, Any]							      =				'''| new / old (diff) |'''
										for metric_name in sorted(__a     ):
															UpperCamelCase__     :List[Any]							      =				benchmark_res[metric_name]
															UpperCamelCase__     :Optional[int]							      =				metric_vals['''new''']
															UpperCamelCase__     :Any							      =				metric_vals.get('''old'''				,      __a     )
															UpperCamelCase__     :Optional[int]							      =				metric_vals.get('''diff'''				,      __a     )

															UpperCamelCase__     :List[str]							      =				f''' {new_val:f}''' if isinstance(__a				,      (int, float)     ) else '''None'''

															if old_val is not None:
																				val_str += f''' / {old_val:f}''' if isinstance(__a				,      (int, float)     ) else "None"
															if dif_val is not None:
																				val_str += f''' ({dif_val:f})''' if isinstance(__a				,      (int, float)     ) else "None"

															title += " " + metric_name + " |"
															lines += "---|"
															value += val_str + " |"

										output_md += [title, lines, value, " "]

					output_md.append('''</details>'''     )

					with open(__a				,      '''w'''				,      encoding='''utf-8'''     ) as f:
										f.writelines('''\n'''.join(__a     )     )


if __name__ == "__main__":
		__snake_case							   =  sys.argv[1]
		__snake_case							   =  sys.argv[2]

		format_json_to_md(input_json_file, output_md_file)