

'''simple docstring'''





from copy import deepcopy





class 		__SCREAMING_SNAKE_CASE							:







				def __init__(       self     :		Any		,					UpperCAmelCase__     :		list[int] | None = None		,					UpperCAmelCase__     :		int | None = None   ):
										'''simple docstring'''

										if arr is None and size is not None:
																lowercase :							List[Any]    		=size
																lowercase :							int    		=[0] * size
										elif arr is not None:
																self.init(UpperCAmelCase__   )
										else:
																raise ValueError('''Either arr or size must be specified'''   )







				def  lowerCamelCase_	(       self     :		List[str]		,					UpperCAmelCase__     :		list[int]   ):
										'''simple docstring'''
										lowercase :							Optional[Any]    		=len(UpperCAmelCase__   )
										lowercase :							Dict    		=deepcopy(UpperCAmelCase__   )
										for i in range(1		,					self.size   ):
																lowercase :							Union[str, Any]    		=self.next_(UpperCAmelCase__   )
																if j < self.size:
																						self.tree[j] += self.tree[i]







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							Optional[Any]    		=self.tree[:]
										for i in range(self.size - 1		,					0		,					-1   ):
																lowercase :							Tuple    		=self.next_(UpperCAmelCase__   )
																if j < self.size:
																						arr[j] -= arr[i]
										return arr







				@staticmethod
				def  lowerCamelCase_	(       UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return index + (index & (-index))







				@staticmethod
				def  lowerCamelCase_	(       UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return index - (index & (-index))







				def  lowerCamelCase_	(       self     :		Optional[Any]		,					UpperCAmelCase__     :		int		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										if index == 0:
																self.tree[0] += value
																return
										while index < self.size:
																self.tree[index] += value
																lowercase :							int    		=self.next_(UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Optional[int]		,					UpperCAmelCase__     :		int		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										self.add(UpperCAmelCase__		,					value - self.get(UpperCAmelCase__   )   )







				def  lowerCamelCase_	(       self     :		List[str]		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										if right == 0:
																return 0
										lowercase :							Any    		=self.tree[0]
										right -= 1  # make right inclusive
										while right > 0:
																result += self.tree[right]
																lowercase :							str    		=self.prev(UpperCAmelCase__   )
										return result







				def  lowerCamelCase_	(       self     :		Tuple		,					UpperCAmelCase__     :		int		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return self.prefix(UpperCAmelCase__   ) - self.prefix(UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		List[str]		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return self.query(UpperCAmelCase__		,					index + 1   )







				def  lowerCamelCase_	(       self     :		Union[str, Any]		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										value -= self.tree[0]
										if value < 0:
																return -1

										lowercase :							Dict    		=1  # Largest power of 2 <= size
										while j * 2 < self.size:
																j *= 2

										lowercase :							int    		=0

										while j > 0:
																if i + j < self.size and self.tree[i + j] <= value:
																						value -= self.tree[i + j]
																						i += j
																j //= 2
										return i


if __name__ == "__main__":
							import doctest

							doctest.testmod()








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_    						=       {"""configuration_mbart""": ["""MBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MBartConfig""", """MBartOnnxConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       ["""MBartTokenizer"""]

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

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       [
							    """MBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MBartForCausalLM""",
							    """MBartForConditionalGeneration""",
							    """MBartForQuestionAnswering""",
							    """MBartForSequenceClassification""",
							    """MBartModel""",
							    """MBartPreTrainedModel""",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       [
							    """TFMBartForConditionalGeneration""",
							    """TFMBartModel""",
							    """TFMBartPreTrainedModel""",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_    						=       [
							    """FlaxMBartForConditionalGeneration""",
							    """FlaxMBartForQuestionAnswering""",
							    """FlaxMBartForSequenceClassification""",
							    """FlaxMBartModel""",
							    """FlaxMBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_mbart import MBartTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_mbart_fast import MBartTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mbart import (
														    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MBartForCausalLM,
														    MBartForConditionalGeneration,
														    MBartForQuestionAnswering,
														    MBartForSequenceClassification,
														    MBartModel,
														    MBartPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_mbart import (
														    FlaxMBartForConditionalGeneration,
														    FlaxMBartForQuestionAnswering,
														    FlaxMBartForSequenceClassification,
														    FlaxMBartModel,
														    FlaxMBartPreTrainedModel,
														)

else:
							import sys

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





