



'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a   :			Any					  =    logging.get_logger(__name__)

a   :			Any					  =    {
    """shi-labs/nat-mini-in1k-224""": """https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json""",
    # See all Nat models at https://huggingface.co/models?filter=nat
}

class 			UpperCamelCase_ (							__magic_name__      ,     __magic_name__			):
	lowercase          = 'nat'

	lowercase          = {
	    'num_attention_heads': 'num_heads',
	    'num_hidden_layers': 'num_layers',
	}





	def __init__(  self		,		A=4		,		A=3		,		A=64		,		A=[3, 4, 6, 5]		,		A=[2, 4, 8, 16]		,		A=7		,		A=3.0		,		A=True		,		A=0.0		,		A=0.0		,		A=0.1		,		A="gelu"		,		A=0.0_2		,		A=1e-5		,		A=0.0		,		A=None		,		A=None		,		**A		,		)			->			List[Any]:
								super().__init__(**A    )

								UpperCAmelCase     :		Union[str, Any]							     =		patch_size
								UpperCAmelCase     :		List[Any]							     =		num_channels
								UpperCAmelCase     :		str							     =		embed_dim
								UpperCAmelCase     :		Union[str, Any]							     =		depths
								UpperCAmelCase     :		Optional[int]							     =		len(A    )
								UpperCAmelCase     :		Any							     =		num_heads
								UpperCAmelCase     :		List[str]							     =		kernel_size
								UpperCAmelCase     :		Optional[Any]							     =		mlp_ratio
								UpperCAmelCase     :		Tuple							     =		qkv_bias
								UpperCAmelCase     :		Optional[Any]							     =		hidden_dropout_prob
								UpperCAmelCase     :		Optional[Any]							     =		attention_probs_dropout_prob
								UpperCAmelCase     :		List[str]							     =		drop_path_rate
								UpperCAmelCase     :		Union[str, Any]							     =		hidden_act
								UpperCAmelCase     :		Optional[int]							     =		layer_norm_eps
								UpperCAmelCase     :		str							     =		initializer_range
								# we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
								# this indicates the channel dimension after the last stage of the model
								UpperCAmelCase     :		Union[str, Any]							     =		int(embed_dim * 2 ** (len(A    ) - 1)    )
								UpperCAmelCase     :		Tuple							     =		layer_scale_init_value
								UpperCAmelCase     :		Any							     =		["""stem"""] + [f'''stage{idx}''' for idx in range(1		,		len(A    ) + 1    )]
								UpperCAmelCase     ,     UpperCAmelCase     :		str							     =		get_aligned_output_features_output_indices(
								    out_features=A		,		out_indices=A		,		stage_names=self.stage_names    )






'''simple docstring'''




from __future__ import annotations

import math

class 			UpperCamelCase_ :





	def __init__(  self		,		A    )			->			None:
								UpperCAmelCase     :		Optional[int]							     =		size
								# approximate the overall size of segment tree with given value
								UpperCAmelCase     :		Optional[int]							     =		[0 for i in range(0		,		4 * size    )]
								# create array to store lazy update
								UpperCAmelCase     :		Any							     =		[0 for i in range(0		,		4 * size    )]
								UpperCAmelCase     :		Tuple							     =		[0 for i in range(0		,		4 * size    )]  # flag for lazy update





	def  _lowercase(  self		,		A    )			->			int:
								return idx * 2





	def  _lowercase(  self		,		A    )			->			int:
								return idx * 2 + 1





	def  _lowercase(  self		,		A		,		A		,		A		,		A    )			->			None:
								if left_element == right_element:
															UpperCAmelCase     :		str							     =		a[left_element - 1]
								else:
															UpperCAmelCase     :		Tuple							     =		(left_element + right_element) // 2
															self.build(self.left(A    )		,		A		,		A		,		A    )
															self.build(self.right(A    )		,		mid + 1		,		A		,		A    )
															UpperCAmelCase     :		str							     =		max(
															    self.segment_tree[self.left(A    )]		,		self.segment_tree[self.right(A    )]    )





	def  _lowercase(  self		,		A		,		A		,		A		,		A		,		A		,		A    )			->			bool:
								if self.flag[idx] is True:
															UpperCAmelCase     :		Optional[Any]							     =		self.lazy[idx]
															UpperCAmelCase     :		int							     =		False
															if left_element != right_element:
																						UpperCAmelCase     :		List[str]							     =		self.lazy[idx]
																						UpperCAmelCase     :		Optional[Any]							     =		self.lazy[idx]
																						UpperCAmelCase     :		List[str]							     =		True
																						UpperCAmelCase     :		int							     =		True

								if right_element < a or left_element > b:
															return True
								if left_element >= a and right_element <= b:
															UpperCAmelCase     :		Optional[Any]							     =		val
															if left_element != right_element:
																						UpperCAmelCase     :		Tuple							     =		val
																						UpperCAmelCase     :		int							     =		val
																						UpperCAmelCase     :		Any							     =		True
																						UpperCAmelCase     :		str							     =		True
															return True
								UpperCAmelCase     :		str							     =		(left_element + right_element) // 2
								self.update(self.left(A    )		,		A		,		A		,		A		,		A		,		A    )
								self.update(self.right(A    )		,		mid + 1		,		A		,		A		,		A		,		A    )
								UpperCAmelCase     :		List[str]							     =		max(
								    self.segment_tree[self.left(A    )]		,		self.segment_tree[self.right(A    )]    )
								return True





	def  _lowercase(  self		,		A		,		A		,		A		,		A		,		A    )			->			int | float:
								if self.flag[idx] is True:
															UpperCAmelCase     :		Any							     =		self.lazy[idx]
															UpperCAmelCase     :		Any							     =		False
															if left_element != right_element:
																						UpperCAmelCase     :		Optional[Any]							     =		self.lazy[idx]
																						UpperCAmelCase     :		Tuple							     =		self.lazy[idx]
																						UpperCAmelCase     :		List[str]							     =		True
																						UpperCAmelCase     :		Tuple							     =		True
								if right_element < a or left_element > b:
															return -math.inf
								if left_element >= a and right_element <= b:
															return self.segment_tree[idx]
								UpperCAmelCase     :		Dict							     =		(left_element + right_element) // 2
								UpperCAmelCase     :		List[Any]							     =		self.query(self.left(A    )		,		A		,		A		,		A		,		A    )
								UpperCAmelCase     :		str							     =		self.query(self.right(A    )		,		mid + 1		,		A		,		A		,		A    )
								return max(A		,		A    )






	def __str__(  self    )			->			str:
								return str([self.query(1		,		1		,		self.size		,		A		,		A    ) for i in range(1		,		self.size + 1    )]    )


if __name__ == "__main__":
							a   :			Optional[int]					  =    [1, 2, -4, 7, 3, -5, 6, 1_1, -2_0, 9, 1_4, 1_5, 5, 2, -8]
							a   :			Optional[Any]					  =    1_5
							a   :			Union[str, Any]					  =    SegmentTree(size)
							segt.build(1, 1, size, A)
							print(segt.query(1, 1, size, 4, 6))
							print(segt.query(1, 1, size, 7, 1_1))
							print(segt.query(1, 1, size, 7, 1_2))
							segt.update(1, 1, size, 1, 3, 1_1_1)
							print(segt.query(1, 1, size, 1, 1_5))
							segt.update(1, 1, size, 7, 8, 2_3_5)
							print(segt)

