





def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)  ->       list:
  __snake_case:		int					    =		sorted(SCREAMING_SNAKE_CASE__   ,   key=lambda SCREAMING_SNAKE_CASE__: value[2]   ,   reverse=SCREAMING_SNAKE_CASE__)

  # Create a list of size equal to the maximum deadline
  # and initialize it with -1
  __snake_case:		str					    =		max(SCREAMING_SNAKE_CASE__   ,   key=lambda SCREAMING_SNAKE_CASE__: value[1])[1]
  __snake_case:		List[str]					    =		[-1] * max_deadline

  # Finding the maximum profit and the count of jobs
  __snake_case:		Optional[Any]					    =		0
  __snake_case:		List[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:
        __snake_case:		Optional[int]					    =		job[0]
        count += 1
        max_profit += job[2]
        break
  return [count, max_profit]


if __name__ == "__main__":
      import doctest

      doctest.testmod()














'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A      :     Optional[int]       	={'''configuration_visual_bert''': ['''VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VisualBertConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A      :     Optional[int]       	=[
			    '''VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''VisualBertForMultipleChoice''',
			    '''VisualBertForPreTraining''',
			    '''VisualBertForQuestionAnswering''',
			    '''VisualBertForRegionToPhraseAlignment''',
			    '''VisualBertForVisualReasoning''',
			    '''VisualBertLayer''',
			    '''VisualBertModel''',
			    '''VisualBertPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_visual_bert import (
						    VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    VisualBertForMultipleChoice,
						    VisualBertForPreTraining,
						    VisualBertForQuestionAnswering,
						    VisualBertForRegionToPhraseAlignment,
						    VisualBertForVisualReasoning,
						    VisualBertLayer,
						    VisualBertModel,
						    VisualBertPreTrainedModel,
						)


else:
			import sys

			_A      :     int       	=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

