

class __UpperCamelCase     :






					'''simple docstring'''



					def __init__(				self				,      lowerCamelCase__						):
						UpperCAmelCase__:	Optional[int]									= size
						UpperCAmelCase__:	Dict									= [0] * size
						UpperCAmelCase__:	Tuple									= [0] * size





					@staticmethod
					def    _UpperCAmelCase    (				lowerCamelCase__						):
						return index | (index + 1)





					@staticmethod
					def    _UpperCAmelCase    (				lowerCamelCase__						):
						return (index & (index + 1)) - 1





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__						):
						UpperCAmelCase__:	Dict									= value
						while index < self.size:
							UpperCAmelCase__:	List[str]									= self.get_prev(lowerCamelCase__						) + 1
							if current_left_border == index:
								UpperCAmelCase__:	Any									= value
							else:
								UpperCAmelCase__:	Tuple									= max(lowerCamelCase__				,      lowerCamelCase__				,      lowerCamelCase__						)
							UpperCAmelCase__:	Optional[int]									= self.get_next(lowerCamelCase__						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__						):
						right -= 1  # Because of right is exclusive
						UpperCAmelCase__:	Any									= 0
						while left <= right:
							UpperCAmelCase__:	int									= self.get_prev(lowerCamelCase__						)
							if left <= current_left:
								UpperCAmelCase__:	Union[str, Any]									= max(lowerCamelCase__				,      self.tree[right]						)
								UpperCAmelCase__:	Union[str, Any]									= current_left
							else:
								UpperCAmelCase__:	Any									= max(lowerCamelCase__				,      self.arr[right]						)
								right -= 1
						return result


if __name__ == "__main__":
					import doctest

					doctest.testmod()


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase  :      Union[str, Any]			 ={
    """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:
					_lowerCAmelCase  :      Union[str, Any]			 =[
					    """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """ClapModel""",
					    """ClapPreTrainedModel""",
					    """ClapTextModel""",
					    """ClapTextModelWithProjection""",
					    """ClapAudioModel""",
					    """ClapAudioModelWithProjection""",
					]
					_lowerCAmelCase  :      List[str]			 =["""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

					_lowerCAmelCase  :      Optional[int]			 =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)