




from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available






@dataclass
class       A      (		_a		):
     """simple docstring"""

     _snake_case:						int  ={
         'sld_warmup_steps': 15,
         'sld_guidance_scale': 20,
         'sld_threshold': 0.0,
         'sld_momentum_scale': 0.0,
         'sld_mom_beta': 0.0,
     }
     _snake_case:						Optional[int]  ={
         'sld_warmup_steps': 10,
         'sld_guidance_scale': 1_000,
         'sld_threshold': 0.01,
         'sld_momentum_scale': 0.3,
         'sld_mom_beta': 0.4,
     }
     _snake_case:						int  ={
         'sld_warmup_steps': 7,
         'sld_guidance_scale': 2_000,
         'sld_threshold': 0.025,
         'sld_momentum_scale': 0.5,
         'sld_mom_beta': 0.7,
     }
     _snake_case:						Dict  ={
         'sld_warmup_steps': 0,
         'sld_guidance_scale': 5_000,
         'sld_threshold': 1.0,
         'sld_momentum_scale': 0.5,
         'sld_mom_beta': 0.7,
     }






@dataclass
class       A      (		_a		):
     """simple docstring"""

     _snake_case:						Union[List[PIL.Image.Image], np.ndarray]
     _snake_case:						Optional[List[bool]]
     _snake_case:						Optional[Union[List[PIL.Image.Image], np.ndarray]]
     _snake_case:						Optional[str]


if is_transformers_available() and is_torch_available():
      from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
      from .safety_checker import SafeStableDiffusionSafetyChecker
from __future__ import annotations

from statistics import mean
def 					__lowercase						(    lowerCamelCase__       )					->list[int]:

  '''simple docstring'''




  a__  		=  2
  a__  		=  list(lowerCamelCase__       )
  a__  		=  [0] * len(lowerCamelCase__       )
  a__  		=  0
  while True:
    a__  		=  True
    for i, burst_time in enumerate(lowerCamelCase__       ):
      if rem_burst_times[i] > 0:
        a__  		=  False
        if rem_burst_times[i] > quantum:
          t += quantum
          rem_burst_times[i] -= quantum
        else:
          t += rem_burst_times[i]
          a__  		=  t - burst_time
          a__  		=  0
    if done is True:
      return waiting_times
def 					__lowercase						(    lowerCamelCase__			,					lowerCamelCase__       )					->list[int]:

  '''simple docstring'''




  return [burst + waiting for burst, waiting in zip(lowerCamelCase__			,					lowerCamelCase__       )]


if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE     =     [3, 5, 7]
     _SCREAMING_SNAKE_CASE     =     calculate_waiting_times(burst_times)
     _SCREAMING_SNAKE_CASE     =     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}""")

