code: 
  
  
  
  def 	UpperCamelCase			(     snake_case__ :					int ,  snake_case__ :					list			)			->  list:
     UpperCamelCase					:						int					=			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[Any]					=			max(snake_case__ ,  key=lambda snake_case__			: value[1]			)[1]
     UpperCamelCase					:						Any					=			[-1] * max_deadline
  
     # Finding the maximum profit and the count of jobs
     UpperCamelCase					:						Tuple					=			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					:						Tuple					=			job[0]
              count += 1
              max_profit += job[2]
              break
     return [count, max_profit]
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod()
  
  
  
  
style_context: 
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  __UpperCAmelCase      = {
      '''configuration_deta''': ['''DETA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetaConfig'''],
  }
  
  try:
      if not is_vision_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __UpperCAmelCase      = ['''DetaImageProcessor''']
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __UpperCAmelCase      = [
          '''DETA_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''DetaForObjectDetection''',
          '''DetaModel''',
          '''DetaPreTrainedModel''',
      ]
  
  
  if TYPE_CHECKING:
      from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
      try:
          if not is_vision_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .image_processing_deta import DetaImageProcessor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_deta import (
              DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
              DetaForObjectDetection,
              DetaModel,
              DetaPreTrainedModel,
          )
  
  else:
      import sys
  
      __UpperCAmelCase      = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  