

'''simple docstring'''




from __future__ import annotations

import pandas as pd


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : int    ):
  UpperCAmelCase    				=						[0] * no_of_processes
  UpperCAmelCase    				=						[0] * no_of_processes
  # Copy the burst time into remaining_time[]
  for i in range(SCREAMING_SNAKE_CASE    ):
    UpperCAmelCase    				=						burst_time[i]

  UpperCAmelCase    				=						0
  UpperCAmelCase    				=						0
  UpperCAmelCase    				=						9_9999_9999
  UpperCAmelCase    				=						0
  UpperCAmelCase    				=						False

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

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

    UpperCAmelCase    				=						remaining_time[short]
    if minm == 0:
      UpperCAmelCase    				=						9_9999_9999

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

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

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

      if waiting_time[short] < 0:
        UpperCAmelCase    				=						0

        # Increment time
    increment_time += 1
  return waiting_time


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


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : int    ):
  UpperCAmelCase    				=						0
  UpperCAmelCase    				=						0
  for i in range(SCREAMING_SNAKE_CASE    ):
    UpperCAmelCase    				=						total_waiting_time + waiting_time[i]
    UpperCAmelCase    				=						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')
  _a					:			Dict							=    int(input())
  _a					:			Tuple							=    [0] * no_of_processes
  _a					:			List[str]							=    [0] * no_of_processes
  _a					:			Tuple							=    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))
    _a				,   _a					:			Optional[int]							=    map(int, input().split())

  _a					:			str							=    calculate_waitingtime(arrival_time, burst_time, no_of_processes)

  _a					:			Any							=    burst_time
  _a					:			List[Any]							=    no_of_processes
  _a					:			int							=    waiting_time
  _a					:			Optional[Any]							=    calculate_turnaroundtime(bt, n, wt)

  calculate_average_times(waiting_time, turn_around_time, no_of_processes)

  _a					:			Optional[Any]							=    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)





'''simple docstring'''




import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
  print('Googling.....')
  _a					:			List[Any]							=    'https://www.google.com/search?q=' + ' '.join(sys.argv[1:])
  _a					:			Dict							=    requests.get(url, headers={'UserAgent': UserAgent().random})
  # res.raise_for_status()
  with open('project1a.html', 'wb') as out_file:  # only for knowing the class
    for data in res.iter_content(10_000):
      out_file.write(data)
  _a					:			Any							=    BeautifulSoup(res.text, 'html.parser')
  _a					:			Optional[Any]							=    list(soup.select('.eZt8xd'))[:5]

  print(len(links))
  for link in links:
    if link.text == "Maps":
      webbrowser.open(link.get('href'))
    else:
      webbrowser.open(F'''https://google.com{link.get('href')}''')


