




from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__							:	Optional[int]											=		logging.get_logger(__name__)

lowercase__							:	Optional[int]											=		{
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}
class 						UpperCAmelCase  (							UpperCAmelCase__     ):







						'''simple docstring'''





						lowerCAmelCase_							=  '''efficientformer'''






						def __init__(		self				:	Tuple			,      __lowercase				:	List[int] = [3, 2, 6, 4]			,      __lowercase				:	List[int] = [48, 96, 2_24, 4_48]			,      __lowercase				:	List[bool] = [True, True, True, True]			,      __lowercase				:	int = 4_48			,      __lowercase				:	int = 32			,      __lowercase				:	int = 4			,      __lowercase				:	int = 7			,      __lowercase				:	int = 5			,      __lowercase				:	int = 8			,      __lowercase				:	int = 4			,      __lowercase				:	float = 0.0			,      __lowercase				:	int = 16			,      __lowercase				:	int = 3			,      __lowercase				:	int = 3			,      __lowercase				:	int = 3			,      __lowercase				:	int = 2			,      __lowercase				:	int = 1			,      __lowercase				:	float = 0.0			,      __lowercase				:	int = 1			,      __lowercase				:	bool = True			,      __lowercase				:	bool = True			,      __lowercase				:	float = 1E-5			,      __lowercase				:	str = "gelu"			,      __lowercase				:	float = 0.02			,      __lowercase				:	float = 1E-12			,      __lowercase				:	int = 2_24			,      __lowercase				:	float = 1E-05			,      **__lowercase				:	Optional[int]			,      ):






							"""simple docstring"""






							super().__init__(**__lowercase		)

							snake_case_						       =	hidden_act
							snake_case_						       =	hidden_dropout_prob
							snake_case_						       =	hidden_sizes
							snake_case_						       =	num_hidden_layers
							snake_case_						       =	num_attention_heads
							snake_case_						       =	initializer_range
							snake_case_						       =	layer_norm_eps
							snake_case_						       =	patch_size
							snake_case_						       =	num_channels
							snake_case_						       =	depths
							snake_case_						       =	mlp_expansion_ratio
							snake_case_						       =	downsamples
							snake_case_						       =	dim
							snake_case_						       =	key_dim
							snake_case_						       =	attention_ratio
							snake_case_						       =	resolution
							snake_case_						       =	pool_size
							snake_case_						       =	downsample_patch_size
							snake_case_						       =	downsample_stride
							snake_case_						       =	downsample_pad
							snake_case_						       =	drop_path_rate
							snake_case_						       =	num_metaad_blocks
							snake_case_						       =	distillation
							snake_case_						       =	use_layer_scale
							snake_case_						       =	layer_scale_init_value
							snake_case_						       =	image_size
							snake_case_						       =	batch_norm_eps






from __future__ import annotations

from dataclasses import dataclass
@dataclass
class 						UpperCAmelCase  :







						'''simple docstring'''





						lowerCAmelCase_							=  42
						lowerCAmelCase_							=  None
						lowerCAmelCase_							=  None







def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	def is_valid_tree(_A				) -> bool:
		if node is None:
			return True

		if not isinstance(_A	,      _A				):
			return False

		try:
			float(node.data				)
		except (TypeError, ValueError):
			return False

		return is_valid_tree(node.left				) and is_valid_tree(node.right				)

	if not is_valid_tree(_A				):
		raise ValueError(
		    "Each node should be type of TreeNode and data should be float."				)

	def is_binary_search_tree_recursive_check(
	    _A	,      _A	,      _A				) -> bool:

		if node is None:
			return True

		return (
		    left_bound < node.data < right_bound
		    and is_binary_search_tree_recursive_check(node.left	,      _A	,      node.data				)
		    and is_binary_search_tree_recursive_check(
		        node.right	,      node.data	,      _A				)
		)

	return is_binary_search_tree_recursive_check(_A	,      -float("inf"				)	,      float("inf"				)				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
