code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  def       a__						(		snake_case__				:       int	,      snake_case__				:       list    ):
    _UpperCAmelCase		:       List[str]       =    sorted(snake_case__	,      key=lambda snake_case__    : value[2]	,      reverse=snake_case__    )
  
    # Create a list of size equal to the maximum deadline
    # and initialize it with -1
    _UpperCAmelCase		:       List[str]       =    max(snake_case__	,      key=lambda snake_case__    : value[1]    )[1]
    _UpperCAmelCase		:       Dict       =    [-1] * max_deadline
  
    # Finding the maximum profit and the count of jobs
    _UpperCAmelCase		:       Optional[int]       =    0
    _UpperCAmelCase		:       Any       =    0
    for job in jobs:
      # Find a free time slot for this job
      # (Note that we start from the last possible slot)
      for i in range(job[1] - 1	,      -1	,      -1    ):
        if time_slots[i] == -1:
          _UpperCAmelCase		:       Dict       =    job[0]
          count += 1
          max_profit += job[2]
          break
    return [count, max_profit]
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
  
  
  
  
  
  
style_context: 
  
  
  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 		_SCREAMING_SNAKE_CASE    (	A    ):
       __SCREAMING_SNAKE_CASE    				=						{
           '''sld_warmup_steps''': 1_5,
           '''sld_guidance_scale''': 2_0,
           '''sld_threshold''': 0.0,
           '''sld_momentum_scale''': 0.0,
           '''sld_mom_beta''': 0.0,
       }
       __SCREAMING_SNAKE_CASE    				=						{
           '''sld_warmup_steps''': 1_0,
           '''sld_guidance_scale''': 1_0_0_0,
           '''sld_threshold''': 0.01,
           '''sld_momentum_scale''': 0.3,
           '''sld_mom_beta''': 0.4,
       }
       __SCREAMING_SNAKE_CASE    				=						{
           '''sld_warmup_steps''': 7,
           '''sld_guidance_scale''': 2_0_0_0,
           '''sld_threshold''': 0.025,
           '''sld_momentum_scale''': 0.5,
           '''sld_mom_beta''': 0.7,
       }
       __SCREAMING_SNAKE_CASE    				=						{
           '''sld_warmup_steps''': 0,
           '''sld_guidance_scale''': 5_0_0_0,
           '''sld_threshold''': 1.0,
           '''sld_momentum_scale''': 0.5,
           '''sld_mom_beta''': 0.7,
       }
  
  
  @dataclass
  class 		_SCREAMING_SNAKE_CASE    (	A    ):
       __SCREAMING_SNAKE_CASE    				=						42
       __SCREAMING_SNAKE_CASE    				=						42
       __SCREAMING_SNAKE_CASE    				=						42
       __SCREAMING_SNAKE_CASE    				=						42
  
  
  if is_transformers_available() and is_torch_available():
   from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
   from .safety_checker import SafeStableDiffusionSafetyChecker
  
  
  
  
  
  