





'''simple docstring'''




class      UpperCamelCase__					:




					"""simple docstring"""


					def __init__(						self				:			str      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			size
							SCREAMING_SNAKE_CASE :				Tuple		=			[0] * size
							SCREAMING_SNAKE_CASE :				Optional[int]		=			[0] * size


					@staticmethod
					def lowerCamelCase_			(						lowerCamelCase_				:			int						):

							'''simple docstring'''



							return index | (index + 1)


					@staticmethod
					def lowerCamelCase_			(						lowerCamelCase_				:			int						):

							'''simple docstring'''



							return (index & (index + 1)) - 1


					def lowerCamelCase_			(						self				:			Optional[int]      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Tuple		=			value
							while index < self.size:
									SCREAMING_SNAKE_CASE :				str		=			self.get_prev(lowerCamelCase_						) + 1
									if current_left_border == index:
											SCREAMING_SNAKE_CASE :				Optional[Any]		=			value
									else:
											SCREAMING_SNAKE_CASE :				Union[str, Any]		=			max(lowerCamelCase_      ,						lowerCamelCase_      ,						lowerCamelCase_						)
									SCREAMING_SNAKE_CASE :				Optional[int]		=			self.get_next(lowerCamelCase_						)



					def lowerCamelCase_			(						self				:			int      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



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


if __name__ == "__main__":
							import doctest

							doctest.testmod()










'''simple docstring'''




from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


__UpperCAmelCase            =       {"""configuration_gpt_neox""": ["""GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXConfig"""]}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCAmelCase            =       ["""GPTNeoXTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCAmelCase            =       [
							    """GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GPTNeoXForCausalLM""",
							    """GPTNeoXForQuestionAnswering""",
							    """GPTNeoXForSequenceClassification""",
							    """GPTNeoXForTokenClassification""",
							    """GPTNeoXLayer""",
							    """GPTNeoXModel""",
							    """GPTNeoXPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_gpt_neox import (
														    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GPTNeoXForCausalLM,
														    GPTNeoXForQuestionAnswering,
														    GPTNeoXForSequenceClassification,
														    GPTNeoXForTokenClassification,
														    GPTNeoXLayer,
														    GPTNeoXModel,
														    GPTNeoXPreTrainedModel,
														)


else:
							import sys

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



