


"""simple docstring"""



from collections import deque







class _lowerCAmelCase				:







   def __init__(	self						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						)	->		None:

       '''simple docstring'''




       snake_case    :      str      					=    process_name  # process name
       snake_case    :      Optional[int]      					=    arrival_time  # arrival time of the process
       # completion time of finished process or last interrupted time
       snake_case    :      List[Any]      					=    arrival_time
       snake_case    :      Optional[Any]      					=    burst_time  # remaining burst time
       snake_case    :      List[Any]      					=    0  # total time of the process wait in ready queue
       snake_case    :      Optional[int]      					=    0  # time from arrival time to completion time







class _lowerCAmelCase				:







   def __init__(	self						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						,	)	->		None:

       '''simple docstring'''




       snake_case    :      Dict      					=    number_of_queues
       # time slice of queues that round robin algorithm applied
       snake_case    :      int      					=    time_slices
       # unfinished process is in this ready_queue
       snake_case    :      Optional[int]      					=    queue
       # current time
       snake_case    :      Optional[int]      					=    current_time
       # finished process is in this sequence queue
       snake_case    :      deque[Process]      					=    deque()







   def  lowerCamelCase		(	self						)	->		list[str]:

       '''simple docstring'''




       snake_case    :      List[str]      					=    []
       for i in range(len(self.finish_queue						)						):
           sequence.append(self.finish_queue[i].process_name						)
       return sequence







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		list[int]:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    []
       for i in range(len(UpperCamelCase__						)						):
           waiting_times.append(queue[i].waiting_time						)
       return waiting_times







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		list[int]:

       '''simple docstring'''




       snake_case    :      Optional[Any]      					=    []
       for i in range(len(UpperCamelCase__						)						):
           turnaround_times.append(queue[i].turnaround_time						)
       return turnaround_times







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		list[int]:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    []
       for i in range(len(UpperCamelCase__						)						):
           completion_times.append(queue[i].stop_time						)
       return completion_times







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		list[int]:

       '''simple docstring'''




       return [q.burst_time for q in queue]







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		int:

       '''simple docstring'''




       process.waiting_time += self.current_time - process.stop_time
       return process.waiting_time







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		deque[Process]:

       '''simple docstring'''




       snake_case    :      deque[Process]      					=    deque()  # sequence deque of finished process
       while len(UpperCamelCase__						) != 0:
           snake_case    :      Union[str, Any]      					=    ready_queue.popleft()  # current process

           # if process's arrival time is later than current time, update current time
           if self.current_time < cp.arrival_time:
               self.current_time += cp.arrival_time

           # update waiting time of current process
           self.update_waiting_time(UpperCamelCase__						)
           # update current time
           self.current_time += cp.burst_time
           # finish the process and set the process's burst-time 0
           snake_case    :      List[str]      					=    0
           # set the process's turnaround time because it is finished
           snake_case    :      Tuple      					=    self.current_time - cp.arrival_time
           # set the completion time
           snake_case    :      Dict      					=    self.current_time
           # add the process to queue that has finished queue
           finished.append(UpperCamelCase__						)

       self.finish_queue.extend(UpperCamelCase__						)  # add finished process to finish queue
       # FCFS will finish all remaining processes
       return finished







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__						)	->		tuple[deque[Process], deque[Process]]:

       '''simple docstring'''




       snake_case    :      deque[Process]      					=    deque()  # sequence deque of terminated process
       # just for 1 cycle and unfinished processes will go back to queue
       for _ in range(len(UpperCamelCase__						)						):
           snake_case    :      Optional[int]      					=    ready_queue.popleft()  # current process

           # if process's arrival time is later than current time, update current time
           if self.current_time < cp.arrival_time:
               self.current_time += cp.arrival_time

           # update waiting time of unfinished processes
           self.update_waiting_time(UpperCamelCase__						)
           # if the burst time of process is bigger than time-slice
           if cp.burst_time > time_slice:
               # use CPU for only time-slice
               self.current_time += time_slice
               # update remaining burst time
               cp.burst_time -= time_slice
               # update end point time
               snake_case    :      Union[str, Any]      					=    self.current_time
               # locate the process behind the queue because it is not finished
               ready_queue.append(UpperCamelCase__						)
           else:
               # use CPU for remaining burst time
               self.current_time += cp.burst_time
               # set burst time 0 because the process is finished
               snake_case    :      Union[str, Any]      					=    0
               # set the finish time
               snake_case    :      Tuple      					=    self.current_time
               # update the process' turnaround time because it is finished
               snake_case    :      List[Any]      					=    self.current_time - cp.arrival_time
               # add the process to queue that has finished queue
               finished.append(UpperCamelCase__						)

       self.finish_queue.extend(UpperCamelCase__						)  # add finished process to finish queue
       # return finished processes queue and remaining processes queue
       return finished, ready_queue







   def  lowerCamelCase		(	self						)	->		deque[Process]:

       '''simple docstring'''




       for i in range(self.number_of_queues - 1						):
           snake_case					,snake_case    :      Union[str, Any]      					=    self.round_robin(
               self.ready_queue						,	self.time_slices[i]						)
       #  the last queue has first_come_first_served algorithm
       self.first_come_first_served(self.ready_queue						)

       return self.finish_queue


if __name__ == "__main__":
  import doctest

  __snake_case   			=    Process("""P1""", 0, 53)
  __snake_case   			=    Process("""P2""", 0, 17)
  __snake_case   			=    Process("""P3""", 0, 68)
  __snake_case   			=    Process("""P4""", 0, 24)
  __snake_case   			=    3
  __snake_case   			=    [17, 25]
  __snake_case   			=    deque([Pa, Pa, Pa, Pa])

  if len(time_slices) != number_of_queues - 1:
    raise SystemExit(0)

  doctest.testmod(extraglobs={"""queue""": deque([Pa, Pa, Pa, Pa])})

  __snake_case   			=    Process("""P1""", 0, 53)
  __snake_case   			=    Process("""P2""", 0, 17)
  __snake_case   			=    Process("""P3""", 0, 68)
  __snake_case   			=    Process("""P4""", 0, 24)
  __snake_case   			=    3
  __snake_case   			=    [17, 25]
  __snake_case   			=    deque([Pa, Pa, Pa, Pa])
  __snake_case   			=    MLFQ(number_of_queues, time_slices, queue, 0)
  __snake_case   			=    mlfq.multi_level_feedback_queue()

  # print total waiting times of processes(P1, P2, P3, P4)
  print(
      F'''waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}'''
  )
  # print completion times of processes(P1, P2, P3, P4)
  print(
      F'''completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}'''
  )
  # print total turnaround times of processes(P1, P2, P3, P4)
  print(
      F'''turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}'''
  )
  # print sequence of finished processes
  print(
      F'''sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}'''
  )









"""simple docstring"""



import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

__snake_case   			=    {
    """User-Agent""": """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"""
    """ (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"""
}







def   __lowerCAmelCase						(						lowercase  :  str = "dhaka"						,							lowercase  :  int = 5 )	->						int:


    """simple docstring"""





    snake_case    :      List[Any]      					=    min(lowercase						,							50 )  # Prevent abuse!
    snake_case    :      Optional[Any]      					=    {
        "q": query,
        "tbm": "isch",
        "hl": "en",
        "ijn": "0",
    }

    snake_case    :      str      					=    requests.get("https://www.google.com/search"						,							params=lowercase						,							headers=lowercase )
    snake_case    :      List[str]      					=    BeautifulSoup(html.text						,							"html.parser" )
    snake_case    :      List[Any]      					=    "".join(
        re.findall(R"AF_initDataCallback\(([^<]+)\);"						,							str(soup.select("script" ) ) ) )

    snake_case    :      Optional[Any]      					=    json.dumps(lowercase )
    snake_case    :      str      					=    json.loads(lowercase )

    snake_case    :      List[str]      					=    re.findall(
        R"\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\","						,							lowercase						,							)
    if not matched_google_image_data:
        return 0

    snake_case    :      List[str]      					=    re.sub(
        R"\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]"						,							""						,							str(lowercase )						,							)

    snake_case    :      Dict      					=    re.findall(
        R"(?:'|,),\[\"(https:|http.*?)\",\d+,\d+\]"						,							lowercase						,							)
    for index, fixed_full_res_image in enumerate(lowercase ):
        if index >= max_images:
            return index
        snake_case    :      List[str]      					=    bytes(lowercase						,							"ascii" ).decode(
            "unicode-escape" )
        snake_case    :      Dict      					=    bytes(lowercase						,							"ascii" ).decode(
            "unicode-escape" )
        snake_case    :      int      					=    urllib.request.build_opener()
        snake_case    :      int      					=    [
            (
                "User-Agent",
                "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
                " (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582",
            )
        ]
        urllib.request.install_opener(lowercase )
        snake_case    :      Optional[int]      					=    F'query_{query.replace(" "						,							"_" )}'
        if not os.path.exists(lowercase ):
            os.makedirs(lowercase )
        urllib.request.urlretrieve(  # noqa: S310
            lowercase						,							F'{path_name}/original_size_img_{index}.jpg' )
    return index


if __name__ == "__main__":
  try:
    __snake_case   			=    download_images_from_google_query(sys.argv[1])
    print(F'''{image_count} images were downloaded to disk.''')
  except IndexError:
    print("""Please provide a search term.""")
    raise





