


from __future__ import annotations

from statistics import mean
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Optional[int]							=						2
 __lowerCamelCase		:							Tuple							=						list(SCREAMING_SNAKE_CASE__						)
 __lowerCamelCase		:							int							=						[0] * len(SCREAMING_SNAKE_CASE__						)
 __lowerCamelCase		:							List[Any]							=						0
 while True:
  __lowerCamelCase		:							List[str]							=						True
  for i, burst_time in enumerate(SCREAMING_SNAKE_CASE__						):
   if rem_burst_times[i] > 0:
    __lowerCamelCase		:							str							=						False
    if rem_burst_times[i] > quantum:
     t += quantum
     rem_burst_times[i] -= quantum
    else:
     t += rem_burst_times[i]
     __lowerCamelCase		:							int							=						t - burst_time
     __lowerCamelCase		:							List[Any]							=						0
  if done is True:
   return waiting_times
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__						):
 return [burst + waiting for burst, waiting in zip(SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__						)]


if __name__ == "__main__":
       lowercase_           =	[3, 5, 7]
       lowercase_           =	calculate_waiting_times(burst_times)
       lowercase_           =	calculate_turn_around_times(burst_times, waiting_times)
       print('Process ID \tBurst Time \tWaiting Time \tTurnaround Time')
       for i, burst_time in enumerate(burst_times):
              print(
                  F"""  {i + 1}\t\t  {burst_time}\t\t  {waiting_times[i]}\t\t  """
                  F"""{turn_around_times[i]}"""
              )
       print(F"""\nAverage waiting time = {mean(waiting_times):.5f}""")
       print(F"""Average turn around time = {mean(turn_around_times):.5f}""")





from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


lowercase_           =	datasets.utils.logging.get_logger(__name__)


class        A_					(       folder_based_builder.FolderBasedBuilderConfig    ):




      '''simple docstring'''


      __snake_case					       =   None
      __snake_case					       =   None



class        A_					(       folder_based_builder.FolderBasedBuilder    ):




      '''simple docstring'''


      __snake_case					       =   datasets.Image()
      __snake_case					       =   """image"""
      __snake_case					       =   ImageFolderConfig
      __snake_case					       =   42  # definition at the bottom of the script
      __snake_case					       =   ImageClassification(image_column="""image"""					,      label_column="""label"""    )



lowercase_           =	[
    '.blp',
    '.bmp',
    '.dib',
    '.bufr',
    '.cur',
    '.pcx',
    '.dcx',
    '.dds',
    '.ps',
    '.eps',
    '.fit',
    '.fits',
    '.fli',
    '.flc',
    '.ftc',
    '.ftu',
    '.gbr',
    '.gif',
    '.grib',
    '.h5',
    '.hdf',
    '.png',
    '.apng',
    '.jp2',
    '.j2k',
    '.jpc',
    '.jpf',
    '.jpx',
    '.j2c',
    '.icns',
    '.ico',
    '.im',
    '.iim',
    '.tif',
    '.tiff',
    '.jfif',
    '.jpe',
    '.jpg',
    '.jpeg',
    '.mpg',
    '.mpeg',
    '.msp',
    '.pcd',
    '.pxr',
    '.pbm',
    '.pgm',
    '.ppm',
    '.pnm',
    '.psd',
    '.bw',
    '.rgb',
    '.rgba',
    '.sgi',
    '.ras',
    '.tga',
    '.icb',
    '.vda',
    '.vst',
    '.webp',
    '.wmf',
    '.emf',
    '.xbm',
    '.xpm',
]
lowercase_           =	IMAGE_EXTENSIONS

