from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


UpperCamelCase__											=					{
    'configuration_longt5': ['LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LongT5Config', 'LongT5OnnxConfig'],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase__											=					[
          'LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST',
          'LongT5EncoderModel',
          'LongT5ForConditionalGeneration',
          'LongT5Model',
          'LongT5PreTrainedModel',
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase__											=					[
          'FlaxLongT5ForConditionalGeneration',
          'FlaxLongT5Model',
          'FlaxLongT5PreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_longta import (
                LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
                LongTaEncoderModel,
                LongTaForConditionalGeneration,
                LongTaModel,
                LongTaPreTrainedModel,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_longta import (
                FlaxLongTaForConditionalGeneration,
                FlaxLongTaModel,
                FlaxLongTaPreTrainedModel,
            )


else:
      import sys

      UpperCamelCase__											=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




def    lowerCAmelCase_ (     __A,  __A							)     ->				None:







      '''simple docstring'''


      UpperCAmelCase__								=  len(__A							)
      print("The following activities are selected:"							)

      # The first activity is always selected
      UpperCAmelCase__								=  0
      print(__A,  end=","							)

      # Consider rest of the activities
      for j in range(__A							):
            # If this activity has start time greater than
            # or equal to the finish time of previously
            # selected activity, then select it
            if start[j] >= finish[i]:
                  print(__A,  end=","							)
                  UpperCAmelCase__								=  j


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      UpperCamelCase__											=					[1, 3, 0, 5, 8, 5]
      UpperCamelCase__											=					[2, 4, 6, 7, 9, 9]
      print_max_activities(start, finish)



