code: 
  
  
  def 							_UpperCAmelCase       (UpperCamelCase__  :						int       ,							UpperCamelCase__  :						list		):
         _A   : int       					=				sorted(UpperCamelCase__       ,							key=lambda UpperCamelCase__		: value[2]       ,							reverse=UpperCamelCase__		)
  
         # Create a list of size equal to the maximum deadline
         # and initialize it with -1
         _A   : Tuple       					=				max(UpperCamelCase__       ,							key=lambda UpperCamelCase__		: value[1]		)[1]
         _A   : Optional[Any]       					=				[-1] * max_deadline
  
         # Finding the maximum profit and the count of jobs
         _A   : str       					=				0
         _A   : Dict       					=				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:
                              _A   : Dict       					=				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
  
  
  lowerCAmelCase__   	=				{'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}
  
  try:
      if not is_vision_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				['DetrFeatureExtractor']
      lowerCAmelCase__   	=				['DetrImageProcessor']
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				[
          'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
          'DetrForObjectDetection',
          'DetrForSegmentation',
          'DetrModel',
          'DetrPreTrainedModel',
      ]
  
  
  if TYPE_CHECKING:
      from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig
  
      try:
          if not is_vision_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .feature_extraction_detr import DetrFeatureExtractor
          from .image_processing_detr import DetrImageProcessor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_detr import (
              DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
              DetrForObjectDetection,
              DetrForSegmentation,
              DetrModel,
              DetrPreTrainedModel,
          )
  
  else:
      import sys
  
      lowerCAmelCase__   	=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  