






"""simple docstring"""





from collections.abc import Sequence
from queue import Queue



class       __A		:

					def __init__(			self  :      Any     ,		__snake_case  :      Dict     ,		__snake_case  :      List[str]     ,		__snake_case  :      Dict     ,		__snake_case  :      Optional[int]=None     ,		__snake_case  :      Optional[Any]=None					)			->							Tuple:
											__magic_name__:	List[str]							=       start
											__magic_name__:	Tuple							=       end
											__magic_name__:	List[str]							=       val
											__magic_name__:	str							=       (start + end) // 2
											__magic_name__:	Any							=       left
											__magic_name__:	Tuple							=       right






					def __repr__(			self  :      List[Any]					)			->							List[str]:
											return F'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'



class       __A		:

					def __init__(			self  :      Any     ,		__snake_case  :      Sequence     ,		__snake_case  :      List[str]					)			->							Tuple:
											__magic_name__:	List[Any]							=       collection
											__magic_name__:	Tuple							=       function
											if self.collection:
																	__magic_name__:	int							=       self._build_tree(0     ,		len(__snake_case					) - 1					)

					def   lowerCamelCase__   (			self  :      Tuple     ,		__snake_case  :      Tuple     ,		__snake_case  :      Tuple					)			->							Union[str, Any]:
											self._update_tree(self.root     ,		__snake_case     ,		__snake_case					)

					def   lowerCamelCase__   (			self  :      Optional[Any]     ,		__snake_case  :      Any     ,		__snake_case  :      int					)			->							Optional[Any]:
											return self._query_range(self.root     ,		__snake_case     ,		__snake_case					)

					def   lowerCamelCase__   (			self  :      Dict     ,		__snake_case  :      List[Any]     ,		__snake_case  :      Dict					)			->							Tuple:
											if start == end:
																	return SegmentTreeNode(__snake_case     ,		__snake_case     ,		self.collection[start]					)
											__magic_name__:	str							=       (start + end) // 2
											__magic_name__:	List[str]							=       self._build_tree(__snake_case     ,		__snake_case					)
											__magic_name__:	Any							=       self._build_tree(mid + 1     ,		__snake_case					)
											return SegmentTreeNode(__snake_case     ,		__snake_case     ,		self.fn(left.val     ,		right.val					)     ,		__snake_case     ,		__snake_case					)

					def   lowerCamelCase__   (			self  :      List[Any]     ,		__snake_case  :      Any     ,		__snake_case  :      str     ,		__snake_case  :      Any					)			->							Optional[int]:
											if node.start == i and node.end == i:
																	__magic_name__:	Optional[Any]							=       val
																	return
											if i <= node.mid:
																	self._update_tree(node.left     ,		__snake_case     ,		__snake_case					)
											else:
																	self._update_tree(node.right     ,		__snake_case     ,		__snake_case					)
											__magic_name__:	str							=       self.fn(node.left.val     ,		node.right.val					)

					def   lowerCamelCase__   (			self  :      str     ,		__snake_case  :      List[str]     ,		__snake_case  :      Tuple     ,		__snake_case  :      Tuple					)			->							Any:
											if node.start == i and node.end == j:
																	return node.val

											if i <= node.mid:
																	if j <= node.mid:
																							# range in left child tree
																							return self._query_range(node.left     ,		__snake_case     ,		__snake_case					)
																	else:
																							# range in left child tree and right child tree
																							return self.fn(
																							    self._query_range(node.left     ,		__snake_case     ,		node.mid					)     ,		self._query_range(node.right     ,		node.mid + 1     ,		__snake_case					)     ,		)
											else:
																	# range in right child tree
																	return self._query_range(node.right     ,		__snake_case     ,		__snake_case					)






					def   lowerCamelCase__   (			self  :      Optional[Any]					)			->							str:
											if self.root is not None:
																	__magic_name__:	Union[str, Any]							=       Queue()
																	queue.put(self.root					)
																	while not queue.empty():
																							__magic_name__:	Any							=       queue.get()
																							yield node

																							if node.left is not None:
																													queue.put(node.left					)

																							if node.right is not None:
																													queue.put(node.right					)


if __name__ == "__main__":
							import operator

							for fn in [operator.add, max, min]:
														print('*' * 50)
														__lowerCamelCase							=  SegmentTree([2, 1, 5, 3, 4], fn)
														for node in arr.traverse():
																					print(node)
														print()

														arr.update(1, 5)
														for node in arr.traverse():
																					print(node)
														print()

														print(arr.query_range(3, 4))  # 7
														print(arr.query_range(2, 2))  # 5
														print(arr.query_range(1, 3))  # 13
														print()











"""simple docstring"""





from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase							=  logging.get_logger(__name__)

__lowerCamelCase							=  {
    'google/efficientnet-b7': 'https://huggingface.co/google/efficientnet-b7/resolve/main/config.json',
}



class       __A		(   SCREAMING_SNAKE_CASE_			):
					UpperCAmelCase__								=				"efficientnet"

					def __init__(			self  :      Optional[Any]     ,		__snake_case  :      int = 3     ,		__snake_case  :      int = 6_0_0     ,		__snake_case  :      float = 2.0     ,		__snake_case  :      float = 3.1     ,		__snake_case  :      int = 8     ,		__snake_case  :      List[int] = [3, 3, 5, 3, 5, 5, 3]     ,		__snake_case  :      List[int] = [3_2, 1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2]     ,		__snake_case  :      List[int] = [1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2, 3_2_0]     ,		__snake_case  :      List[int] = []     ,		__snake_case  :      List[int] = [1, 2, 2, 2, 1, 2, 1]     ,		__snake_case  :      List[int] = [1, 2, 2, 3, 3, 4, 1]     ,		__snake_case  :      List[int] = [1, 6, 6, 6, 6, 6, 6]     ,		__snake_case  :      float = 0.25     ,		__snake_case  :      str = "swish"     ,		__snake_case  :      int = 2_5_6_0     ,		__snake_case  :      str = "mean"     ,		__snake_case  :      float = 0.02     ,		__snake_case  :      float = 0.001     ,		__snake_case  :      float = 0.99     ,		__snake_case  :      float = 0.5     ,		__snake_case  :      float = 0.2     ,		**__snake_case  :      List[Any]     ,		)			->							List[Any]:
											super().__init__(**__snake_case					)

											__magic_name__:	str							=       num_channels
											__magic_name__:	List[str]							=       image_size
											__magic_name__:	List[str]							=       width_coefficient
											__magic_name__:	Optional[Any]							=       depth_coefficient
											__magic_name__:	Tuple							=       depth_divisor
											__magic_name__:	Dict							=       kernel_sizes
											__magic_name__:	int							=       in_channels
											__magic_name__:	str							=       out_channels
											__magic_name__:	Dict							=       depthwise_padding
											__magic_name__:	Union[str, Any]							=       strides
											__magic_name__:	Dict							=       num_block_repeats
											__magic_name__:	Tuple							=       expand_ratios
											__magic_name__:	List[str]							=       squeeze_expansion_ratio
											__magic_name__:	Any							=       hidden_act
											__magic_name__:	Tuple							=       hidden_dim
											__magic_name__:	int							=       pooling_type
											__magic_name__:	int							=       initializer_range
											__magic_name__:	List[str]							=       batch_norm_eps
											__magic_name__:	str							=       batch_norm_momentum
											__magic_name__:	List[str]							=       dropout_rate
											__magic_name__:	Dict							=       drop_connect_rate
											__magic_name__:	Optional[Any]							=       sum(__snake_case					) * 4



class       __A		(   SCREAMING_SNAKE_CASE_			):
					UpperCAmelCase__								=				version.parse("1.11"			)

					@property
					def   lowerCamelCase__   (			self  :      List[str]					)			->							Mapping[str, Mapping[int, str]]:
											return OrderedDict(
											    [
											        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
											    ]					)






					@property
					def   lowerCamelCase__   (			self  :      List[Any]					)			->							float:
											return 1E-5



