





'''simple docstring'''

import math


class      SCREAMING_SNAKE_CASE__      :







					"""simple docstring"""






					def __init__(   self       :      List[Any]		,	UpperCAmelCase_       :      Optional[Any]		):







							"""simple docstring"""
							__UpperCAmelCase	:							str     =     len(UpperCAmelCase_		)
							__UpperCAmelCase	:							Dict     =     [0] * (
							    4 * self.N
							)  # approximate the overall size of segment tree with array N
							self.build(1		,	0		,	self.N - 1		)
					def 		lowerCamelCase_   (   self       :      Tuple		,	UpperCAmelCase_       :      List[str]		):







							"""simple docstring"""
							return idx * 2
					def 		lowerCamelCase_   (   self       :      Dict		,	UpperCAmelCase_       :      List[Any]		):







							"""simple docstring"""
							return idx * 2 + 1
					def 		lowerCamelCase_   (   self       :      Tuple		,	UpperCAmelCase_       :      List[str]		,	UpperCAmelCase_       :      List[str]		,	UpperCAmelCase_       :      Optional[Any]		):  # noqa: E741







							"""simple docstring"""
							if l == r:
									__UpperCAmelCase	:							List[str]     =     A[l]
							else:
									__UpperCAmelCase	:							List[str]     =     (l + r) // 2
									self.build(self.left(UpperCAmelCase_		)		,	UpperCAmelCase_		,	UpperCAmelCase_		)
									self.build(self.right(UpperCAmelCase_		)		,	mid + 1		,	UpperCAmelCase_		)
									__UpperCAmelCase	:							Optional[int]     =     max(self.st[self.left(UpperCAmelCase_		)]		,	self.st[self.right(UpperCAmelCase_		)]		)
					def 		lowerCamelCase_   (   self       :      List[Any]		,	UpperCAmelCase_       :      int		,	UpperCAmelCase_       :      Union[str, Any]		,	UpperCAmelCase_       :      Union[str, Any]		):







							"""simple docstring"""
							return self.update_recursive(1		,	0		,	self.N - 1		,	a - 1		,	b - 1		,	UpperCAmelCase_		)
					def 		lowerCamelCase_   (   self       :      int		,	UpperCAmelCase_       :      List[Any]		,	UpperCAmelCase_       :      int		,	UpperCAmelCase_       :      Dict		,	UpperCAmelCase_       :      Dict		,	UpperCAmelCase_       :      Optional[int]		,	UpperCAmelCase_       :      Optional[int]		):  # noqa: E741







							"""simple docstring"""
							if r < a or l > b:
									return True
							if l == r:
									__UpperCAmelCase	:							Optional[Any]     =     val
									return True
							__UpperCAmelCase	:							Optional[int]     =     (l + r) // 2
							self.update_recursive(self.left(UpperCAmelCase_		)		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		)
							self.update_recursive(self.right(UpperCAmelCase_		)		,	mid + 1		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		)
							__UpperCAmelCase	:							str     =     max(self.st[self.left(UpperCAmelCase_		)]		,	self.st[self.right(UpperCAmelCase_		)]		)
							return True
					def 		lowerCamelCase_   (   self       :      Any		,	UpperCAmelCase_       :      List[str]		,	UpperCAmelCase_       :      int		):







							"""simple docstring"""
							return self.query_recursive(1		,	0		,	self.N - 1		,	a - 1		,	b - 1		)
					def 		lowerCamelCase_   (   self       :      Optional[Any]		,	UpperCAmelCase_       :      Optional[Any]		,	UpperCAmelCase_       :      Dict		,	UpperCAmelCase_       :      Any		,	UpperCAmelCase_       :      Any		,	UpperCAmelCase_       :      List[Any]		):  # noqa: E741







							"""simple docstring"""
							if r < a or l > b:
									return -math.inf
							if l >= a and r <= b:
									return self.st[idx]
							__UpperCAmelCase	:							Any     =     (l + r) // 2
							__UpperCAmelCase	:							int     =     self.query_recursive(self.left(UpperCAmelCase_		)		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		)
							__UpperCAmelCase	:							List[Any]     =     self.query_recursive(self.right(UpperCAmelCase_		)		,	mid + 1		,	UpperCAmelCase_		,	UpperCAmelCase_		,	UpperCAmelCase_		)
							return max(UpperCAmelCase_		,	UpperCAmelCase_		)






					def 		lowerCamelCase_   (   self       :      str		):







							"""simple docstring"""
							__UpperCAmelCase	:							str     =     []
							for i in range(1		,	N + 1		):
									show_list += [self.query(UpperCAmelCase_		,	UpperCAmelCase_		)]
							print(UpperCAmelCase_		)


if __name__ == "__main__":
			lowerCAmelCase__      :   Optional[Any]      	=			[1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
			lowerCAmelCase__      :   Dict      	=			15
			lowerCAmelCase__      :   Optional[int]      	=			SegmentTree(A)
			print(segt.query(4, 6))
			print(segt.query(7, 11))
			print(segt.query(7, 12))
			segt.update(1, 3, 1_11)
			print(segt.query(1, 15))
			segt.update(7, 8, 2_35)
			segt.show_data()











'''simple docstring'''

from typing import TYPE_CHECKING

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


lowerCAmelCase__      :   Any      	=			{
    "configuration_open_llama": ["OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenLlamaConfig"],
}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__      :   Optional[int]      	=			["LlamaTokenizer"]

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__      :   int      	=			["LlamaTokenizerFast"]

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__      :   int      	=			[
			    "OpenLlamaForCausalLM",
			    "OpenLlamaModel",
			    "OpenLlamaPreTrainedModel",
			    "OpenLlamaForSequenceClassification",
			]


if TYPE_CHECKING:
			from .configuration_open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig

			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from transformers import LlamaTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from transformers import LlamaTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_open_llama import (
						    OpenLlamaForCausalLM,
						    OpenLlamaForSequenceClassification,
						    OpenLlamaModel,
						    OpenLlamaPreTrainedModel,
						)


else:
			import sys

			lowerCAmelCase__      :   Dict      	=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




