



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()








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__)



