

'''simple docstring'''

from __future__ import annotations

import unittest
from collections.abc import Iterator







class lowerCamelCase   :

				def __init__(       self,						lowercase_,						lowercase_ )    ->							None:
					snake_case							=					label
					snake_case							=					parent
					snake_case							=					None
					snake_case							=					None







class lowerCamelCase   :

				def __init__(       self )    ->							None:
					snake_case							=					None

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					None

				def 					_lowerCamelCase    (       self )    ->							bool:
					return self.root is None

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							None:
					snake_case							=					self._put(self.root,						lowercase_ )

				def 					_lowerCamelCase    (       self,						lowercase_,						lowercase_,						lowercase_ = None )    ->							Node:
					if node is None:
						snake_case							=					Node(lowercase_,						lowercase_ )
					else:
						if label < node.label:
							snake_case							=					self._put(node.left,						lowercase_,						lowercase_ )
						elif label > node.label:
							snake_case							=					self._put(node.right,						lowercase_,						lowercase_ )
						else:
							snake_case							=					F'''Node with label {label} already exists'''
							raise Exception(lowercase_ )

					return node

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Node:
					return self._search(self.root,						lowercase_ )

				def 					_lowerCamelCase    (       self,						lowercase_,						lowercase_ )    ->							Node:
					if node is None:
						snake_case							=					F'''Node with label {label} does not exist'''
						raise Exception(lowercase_ )
					else:
						if label < node.label:
							snake_case							=					self._search(node.left,						lowercase_ )
						elif label > node.label:
							snake_case							=					self._search(node.right,						lowercase_ )

					return node

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							None:
					snake_case							=					self.search(lowercase_ )
					if node.right and node.left:
						snake_case							=					self._get_lowest_node(node.right )
						snake_case							=					node.left
						snake_case							=					node.right
						snake_case							=					lowest_node
						if node.right:
							snake_case							=					lowest_node
						self._reassign_nodes(lowercase_,						lowercase_ )
					elif not node.right and node.left:
						self._reassign_nodes(lowercase_,						node.left )
					elif node.right and not node.left:
						self._reassign_nodes(lowercase_,						node.right )
					else:
						self._reassign_nodes(lowercase_,						lowercase_ )

				def 					_lowerCamelCase    (       self,						lowercase_,						lowercase_ )    ->							None:
					if new_children:
						snake_case							=					node.parent

					if node.parent:
						if node.parent.right == node:
							snake_case							=					new_children
						else:
							snake_case							=					new_children
					else:
						snake_case							=					new_children

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Node:
					if node.left:
						snake_case							=					self._get_lowest_node(node.left )
					else:
						snake_case							=					node
						self._reassign_nodes(lowercase_,						node.right )

					return lowest_node

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							bool:
					try:
						self.search(lowercase_ )
						return True
					except Exception:
						return False

				def 					_lowerCamelCase    (       self )    ->							int:
					if self.root is None:
						raise Exception('Binary search tree is empty' )

					snake_case							=					self.root
					while node.right is not None:
						snake_case							=					node.right

					return node.label

				def 					_lowerCamelCase    (       self )    ->							int:
					if self.root is None:
						raise Exception('Binary search tree is empty' )

					snake_case							=					self.root
					while node.left is not None:
						snake_case							=					node.left

					return node.label

				def 					_lowerCamelCase    (       self )    ->							Iterator[Node]:
					return self._inorder_traversal(self.root )

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Iterator[Node]:
					if node is not None:
						yield from self._inorder_traversal(node.left )
						yield node
						yield from self._inorder_traversal(node.right )

				def 					_lowerCamelCase    (       self )    ->							Iterator[Node]:
					return self._preorder_traversal(self.root )






				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Iterator[Node]:
					if node is not None:
						yield node
						yield from self._preorder_traversal(node.left )
						yield from self._preorder_traversal(node.right )







class lowerCamelCase   (    unittest.TestCase				):

				@staticmethod
				def 					_lowerCamelCase    (       )    ->							BinarySearchTree:
					snake_case							=					BinarySearchTree()
					t.put(8 )
					t.put(3 )
					t.put(6 )
					t.put(1 )
					t.put(10 )
					t.put(14 )
					t.put(13 )
					t.put(4 )
					t.put(7 )
					t.put(5 )

					return t

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					BinarySearchTree()
					assert t.is_empty()

					t.put(8 )
					assert t.root is not None
					assert t.root.parent is None
					assert t.root.label == 8

					t.put(10 )
					assert t.root.right is not None
					assert t.root.right.parent == t.root
					assert t.root.right.label == 10

					t.put(3 )
					assert t.root.left is not None
					assert t.root.left.parent == t.root
					assert t.root.left.label == 3

					t.put(6 )
					assert t.root.left.right is not None
					assert t.root.left.right.parent == t.root.left
					assert t.root.left.right.label == 6

					t.put(1 )
					assert t.root.left.left is not None
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.left.label == 1

					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.put(1 )

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					snake_case							=					t.search(6 )
					assert node.label == 6

					snake_case							=					t.search(13 )
					assert node.label == 13

					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.search(2 )

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					t.remove(13 )
					assert t.root is not None
					assert t.root.right is not None
					assert t.root.right.right is not None
					assert t.root.right.right.right is None
					assert t.root.right.right.left is None

					t.remove(7 )
					assert t.root.left is not None
					assert t.root.left.right is not None
					assert t.root.left.right.left is not None
					assert t.root.left.right.right is None
					assert t.root.left.right.left.label == 4

					t.remove(6 )
					assert t.root.left.left is not None
					assert t.root.left.right.right is not None
					assert t.root.left.left.label == 1
					assert t.root.left.right.label == 4
					assert t.root.left.right.right.label == 5
					assert t.root.left.right.left is None
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.right.parent == t.root.left

					t.remove(3 )
					assert t.root is not None
					assert t.root.left.label == 4
					assert t.root.left.right.label == 5
					assert t.root.left.left.label == 1
					assert t.root.left.parent == t.root
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.right.parent == t.root.left

					t.remove(4 )
					assert t.root.left is not None
					assert t.root.left.left is not None
					assert t.root.left.label == 5
					assert t.root.left.right is None
					assert t.root.left.left.label == 1
					assert t.root.left.parent == t.root
					assert t.root.left.left.parent == t.root.left

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					t.remove(3 )
					assert t.root is not None
					assert t.root.left is not None
					assert t.root.left.left is not None
					assert t.root.left.right is not None
					assert t.root.left.right.left is not None
					assert t.root.left.right.right is not None
					assert t.root.left.label == 4
					assert t.root.left.right.label == 6
					assert t.root.left.left.label == 1
					assert t.root.left.right.right.label == 7
					assert t.root.left.right.left.label == 5
					assert t.root.left.parent == t.root
					assert t.root.left.right.parent == t.root.left
					assert t.root.left.left.parent == t.root.left
					assert t.root.left.right.left.parent == t.root.left.right

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()
					t.empty()
					assert t.root is None

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()
					assert not t.is_empty()

					t.empty()
					assert t.is_empty()

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					assert t.exists(6 )
					assert not t.exists(-1 )

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					assert t.get_max_label() == 14

					t.empty()
					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.get_max_label()

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					assert t.get_min_label() == 1

					t.empty()
					with self.assertRaises(lowercase_ ):  # noqa: B017
						t.get_min_label()

				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					snake_case							=					[i.label for i in t.inorder_traversal()]
					assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]






				def 					_lowerCamelCase    (       self )    ->							None:
					snake_case							=					self._get_binary_search_tree()

					snake_case							=					[i.label for i in t.preorder_traversal()]
					assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]

def      __magic_name__							(			)      ->		None:
	snake_case							=					BinarySearchTree()
	t.put(8				)
	t.put(3				)
	t.put(6				)
	t.put(1				)
	t.put(1_0				)
	t.put(1_4				)
	t.put(1_3				)
	t.put(4				)
	t.put(7				)
	t.put(5				)

	print(
	    '\n            8\n           / \\\n          3   10\n         / \\    \\\n        1   6    14\n           / \\   /\n          4   7 13\n           \\\n            5\n        '				)

	print('Label 6 exists:'       , t.exists(6				)				)
	print('Label 13 exists:'       , t.exists(1_3				)				)
	print('Label -1 exists:'       , t.exists(-1				)				)
	print('Label 12 exists:'       , t.exists(1_2				)				)

	# Prints all the elements of the list in inorder traversal
	snake_case							=					[i.label for i in t.inorder_traversal()]
	print('Inorder traversal:'       , A				)

	# Prints all the elements of the list in preorder traversal
	snake_case							=					[i.label for i in t.preorder_traversal()]
	print('Preorder traversal:'       , A				)

	print('Max. label:'       , t.get_max_label()				)
	print('Min. label:'       , t.get_min_label()				)

	# Delete elements
	print('\nDeleting elements 13, 10, 8, 3, 6, 14'				)
	print(
	    '\n          4\n         / \\\n        1   7\n             \\\n              5\n        '				)
	t.remove(1_3				)
	t.remove(1_0				)
	t.remove(8				)
	t.remove(3				)
	t.remove(6				)
	t.remove(1_4				)

	# Prints all the elements of the list in inorder traversal after delete
	snake_case							=					[i.label for i in t.inorder_traversal()]
	print('Inorder traversal after delete:'       , A				)

	# Prints all the elements of the list in preorder traversal after delete
	snake_case							=					[i.label for i in t.preorder_traversal()]
	print('Preorder traversal after delete:'       , A				)

	print('Max. label:'       , t.get_max_label()				)
	print('Min. label:'       , t.get_min_label()				)


if __name__ == "__main__":
						binary_search_tree_example()






import functools
import operator

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


lowercase_  							=			logging.get_logger(__name__)

lowercase_  							=			{
    "facebook/hubert-base-ls960": "https://huggingface.co/facebook/hubert-base-ls960/resolve/main/config.json",
    # See all Hubert models at https://huggingface.co/models?filter=hubert
}







class      SCREAMING_SNAKE_CASE__					(  __UpperCamelCase    ):
       A							:	List[str]          =	"hubert"

       def __init__(							self					:     List[str]			,			_lowerCAmelCase					:     Union[str, Any]=32			,			_lowerCAmelCase					:     Any=7_68			,			_lowerCAmelCase					:     Optional[Any]=12			,			_lowerCAmelCase					:     Optional[int]=12			,			_lowerCAmelCase					:     int=30_72			,			_lowerCAmelCase					:     Optional[Any]="gelu"			,			_lowerCAmelCase					:     List[str]=0.1			,			_lowerCAmelCase					:     Any=0.1			,			_lowerCAmelCase					:     List[str]=0.1			,			_lowerCAmelCase					:     Dict=True			,			_lowerCAmelCase					:     Dict=0.0			,			_lowerCAmelCase					:     List[str]=0.1			,			_lowerCAmelCase					:     Optional[int]=0.1			,			_lowerCAmelCase					:     Dict=0.02			,			_lowerCAmelCase					:     Any=1e-5			,			_lowerCAmelCase					:     str="group"			,			_lowerCAmelCase					:     Any="gelu"			,			_lowerCAmelCase					:     List[str]=(5_12, 5_12, 5_12, 5_12, 5_12, 5_12, 5_12)			,			_lowerCAmelCase					:     Any=(5, 2, 2, 2, 2, 2, 2)			,			_lowerCAmelCase					:     Dict=(10, 3, 3, 3, 3, 2, 2)			,			_lowerCAmelCase					:     List[str]=False			,			_lowerCAmelCase					:     Optional[Any]=1_28			,			_lowerCAmelCase					:     int=16			,			_lowerCAmelCase					:     Tuple=False			,			_lowerCAmelCase					:     int=True			,			_lowerCAmelCase					:     int=0.05			,			_lowerCAmelCase					:     Any=10			,			_lowerCAmelCase					:     Dict=2			,			_lowerCAmelCase					:     Dict=0.0			,			_lowerCAmelCase					:     Optional[int]=10			,			_lowerCAmelCase					:     Union[str, Any]=0			,			_lowerCAmelCase					:     int="sum"			,			_lowerCAmelCase					:     Optional[int]=False			,			_lowerCAmelCase					:     str=False			,			_lowerCAmelCase					:     Optional[Any]=2_56			,			_lowerCAmelCase					:     Any=0			,			_lowerCAmelCase					:     List[Any]=1			,			_lowerCAmelCase					:     List[str]=2			,			**_lowerCAmelCase					:     Optional[int]			,			):
           super().__init__(**_lowerCAmelCase			,			pad_token_id=_lowerCAmelCase			,			bos_token_id=_lowerCAmelCase			,			eos_token_id=_lowerCAmelCase			)
           __snake_case       :				Optional[int] 			=    hidden_size
           __snake_case       :				Optional[Any] 			=    feat_extract_norm
           __snake_case       :				Optional[int] 			=    feat_extract_activation
           __snake_case       :				List[str] 			=    list(_lowerCAmelCase			)
           __snake_case       :				Any 			=    list(_lowerCAmelCase			)
           __snake_case       :				List[Any] 			=    list(_lowerCAmelCase			)
           __snake_case       :				Any 			=    conv_bias
           __snake_case       :				Tuple 			=    num_conv_pos_embeddings
           __snake_case       :				List[Any] 			=    num_conv_pos_embedding_groups
           __snake_case       :				Union[str, Any] 			=    len(self.conv_dim			)
           __snake_case       :				List[Any] 			=    num_hidden_layers
           __snake_case       :				Tuple 			=    intermediate_size
           __snake_case       :				Optional[int] 			=    hidden_act
           __snake_case       :				Union[str, Any] 			=    num_attention_heads
           __snake_case       :				str 			=    hidden_dropout
           __snake_case       :				Union[str, Any] 			=    attention_dropout
           __snake_case       :				Dict 			=    activation_dropout
           __snake_case       :				List[Any] 			=    feat_proj_layer_norm
           __snake_case       :				List[str] 			=    feat_proj_dropout
           __snake_case       :				List[Any] 			=    final_dropout
           __snake_case       :				str 			=    layerdrop
           __snake_case       :				List[str] 			=    layer_norm_eps
           __snake_case       :				Optional[Any] 			=    initializer_range
           __snake_case       :				Optional[int] 			=    vocab_size
           __snake_case       :				Dict 			=    do_stable_layer_norm
           __snake_case       :				Tuple 			=    use_weighted_layer_sum
           __snake_case       :				List[Any] 			=    classifier_proj_size

           if (
               (len(self.conv_stride			) != self.num_feat_extract_layers)
               or (len(self.conv_kernel			) != self.num_feat_extract_layers)
               or (len(self.conv_dim			) != self.num_feat_extract_layers)
           ):
               raise ValueError(
                   """Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="""
                   """ `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="""
                   f''' {len(self.conv_dim			)}`, `len(config.conv_stride) = {len(self.conv_stride			)}`,'''
                   f''' `len(config.conv_kernel) = {len(self.conv_kernel			)}`.'''			)

           # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
           __snake_case       :				Union[str, Any] 			=    apply_spec_augment
           __snake_case       :				List[str] 			=    mask_time_prob
           __snake_case       :				Dict 			=    mask_time_length
           __snake_case       :				int 			=    mask_time_min_masks
           __snake_case       :				List[str] 			=    mask_feature_prob
           __snake_case       :				Tuple 			=    mask_feature_length
           __snake_case       :				int 			=    mask_feature_min_masks

           # ctc loss
           __snake_case       :				Dict 			=    ctc_loss_reduction
           __snake_case       :				List[str] 			=    ctc_zero_infinity





       @property
       def 			snake_case__    (							self					:     Any			):
           return functools.reduce(operator.mul			,			self.conv_stride			,			1			)



