


"""simple docstring"""


class   _UpperCamelCase  :
							'''simple docstring'''







							def __init__(     self    ,   __a	):
										__lowerCAmelCase				    =			size
										__lowerCAmelCase				    =			[0] * size
										__lowerCAmelCase				    =			[0] * size

							@staticmethod
							def 			snake_case				(     __a	):
										return index | (index + 1)

							@staticmethod
							def 			snake_case				(     __a	):
										return (index & (index + 1)) - 1

							def 			snake_case				(     self    ,   __a    ,   __a	):
										__lowerCAmelCase				    =			value
										while index < self.size:
													__lowerCAmelCase				    =			self.get_prev(__UpperCAmelCase	) + 1
													if current_left_border == index:
																__lowerCAmelCase				    =			value
													else:
																__lowerCAmelCase				    =			max(__UpperCAmelCase    ,   __UpperCAmelCase    ,   __UpperCAmelCase	)
													__lowerCAmelCase				    =			self.get_next(__UpperCAmelCase	)



							def 			snake_case				(     self    ,   __a    ,   __a	):
										right -= 1  # Because of right is exclusive
										__lowerCAmelCase				    =			0
										while left <= right:
													__lowerCAmelCase				    =			self.get_prev(__UpperCAmelCase	)
													if left <= current_left:
																__lowerCAmelCase				    =			max(__UpperCAmelCase    ,   self.tree[right]	)
																__lowerCAmelCase				    =			current_left
													else:
																__lowerCAmelCase				    =			max(__UpperCAmelCase    ,   self.arr[right]	)
																right -= 1
										return result


if __name__ == "__main__":
	import doctest

	doctest.testmod()








"""simple docstring"""







from typing import TYPE_CHECKING

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


__lowercase    					=      {
    """configuration_rag""": ["""RagConfig"""],
    """retrieval_rag""": ["""RagRetriever"""],
    """tokenization_rag""": ["""RagTokenizer"""],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    					=      [
     """RagModel""",
     """RagPreTrainedModel""",
     """RagSequenceForGeneration""",
     """RagTokenForGeneration""",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    					=      [
     """TFRagModel""",
     """TFRagPreTrainedModel""",
     """TFRagSequenceForGeneration""",
     """TFRagTokenForGeneration""",
 ]


if TYPE_CHECKING:
 from .configuration_rag import RagConfig
 from .retrieval_rag import RagRetriever
 from .tokenization_rag import RagTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_rag import (
      TFRagModel,
      TFRagPreTrainedModel,
      TFRagSequenceForGeneration,
      TFRagTokenForGeneration,
  )

else:
 import sys

 __lowercase    					=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






