


'''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()









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





