
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase	      = {
    '''configuration_clap''': [
        '''CLAP_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''ClapAudioConfig''',
        '''ClapConfig''',
        '''ClapTextConfig''',
    ],
    '''processing_clap''': ['''ClapProcessor'''],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase	      = [
	    '''CLAP_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''ClapModel''',
	    '''ClapPreTrainedModel''',
	    '''ClapTextModel''',
	    '''ClapTextModelWithProjection''',
	    '''ClapAudioModel''',
	    '''ClapAudioModelWithProjection''',
	]
	UpperCAmelCase	      = ['''ClapFeatureExtractor''']

if TYPE_CHECKING:
	from .configuration_clap import (
	    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
	    ClapAudioConfig,
	    ClapConfig,
	    ClapTextConfig,
	)
	from .processing_clap import ClapProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_clap import ClapFeatureExtractor
		from .modeling_clap import (
		    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    ClapAudioModel,
		    ClapAudioModelWithProjection,
		    ClapModel,
		    ClapPreTrainedModel,
		    ClapTextModel,
		    ClapTextModelWithProjection,
		)


else:
	import sys

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







"""simple docstring"""


from __future__ import annotations


def 					UpperCAmelCase__       (snake_case__							:					list[int]		,   snake_case__							:					int    ):
  """simple docstring"""

  if len(snake_case__    ) < k or k < 0:
    raise ValueError("""Invalid Input"""    )
  _snake_case							:		Optional[int]								=  sum(array[:k]    )
  for i in range(len(snake_case__    ) - k    ):
    _snake_case							:		Optional[Any]								=  current_sum - array[i] + array[i + k]
    _snake_case							:		List[str]								=  max(snake_case__		,   snake_case__    )
  return max_sum


if __name__ == "__main__":
     from doctest import testmod
     from random import randint

     testmod()
     A_						=				[randint(-10_00, 10_00) for i in range(1_00)]
     A_						=				randint(0, 1_10)
     print(F'''The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}''')


