


from __future__ import annotations

import unittest
from collections.abc import Iterator







class     lowerCamelCase__		:






			"""simple docstring"""






			def __init__(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    label
						UpperCamelCase__   =    parent
						UpperCamelCase__   =    None
						UpperCamelCase__   =    None







class     lowerCamelCase__		:






			"""simple docstring"""






			def __init__(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    None




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    None




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						return self.root is None




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._put(self.root ,  snake_case       )




			def 			snake_case__			(							self ,  snake_case ,  snake_case ,  snake_case = None       ):

						'''simple docstring'''


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

						return node




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						return self._search(self.root ,  snake_case       )




			def 			snake_case__			(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


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

						return node




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    self.search(snake_case       )
						if node.right and node.left:
									UpperCamelCase__   =    self._get_lowest_node(node.right       )
									UpperCamelCase__   =    node.left
									UpperCamelCase__   =    node.right
									UpperCamelCase__   =    lowest_node
									if node.right:
												UpperCamelCase__   =    lowest_node
									self._reassign_nodes(snake_case ,  snake_case       )
						elif not node.right and node.left:
									self._reassign_nodes(snake_case ,  node.left       )
						elif node.right and not node.left:
									self._reassign_nodes(snake_case ,  node.right       )
						else:
									self._reassign_nodes(snake_case ,  snake_case       )




			def 			snake_case__			(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						if new_children:
									UpperCamelCase__   =    node.parent

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




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						if node.left:
									UpperCamelCase__   =    self._get_lowest_node(node.left       )
						else:
									UpperCamelCase__   =    node
									self._reassign_nodes(snake_case ,  node.right       )

						return lowest_node




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						try:
									self.search(snake_case       )
									return True
						except Exception:
									return False




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						if self.root is None:
									raise Exception("Binary search tree is empty"       )

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

						return node.label




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						if self.root is None:
									raise Exception("Binary search tree is empty"       )

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

						return node.label




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						return self._inorder_traversal(self.root       )




			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						if node is not None:
									yield from self._inorder_traversal(node.left       )
									yield node
									yield from self._inorder_traversal(node.right       )




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						return self._preorder_traversal(self.root       )







			def 			snake_case__			(							self ,  snake_case       ):

						'''simple docstring'''


						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 ):






			"""simple docstring"""






			@staticmethod
			def 			snake_case__			(							):

						'''simple docstring'''


						UpperCamelCase__   =    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 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    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(snake_case       ):  # noqa: B017
									t.put(1       )




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()

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

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

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




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    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 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    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 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()
						t.empty()
						assert t.root is None




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()
						assert not t.is_empty()

						t.empty()
						assert t.is_empty()




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()

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




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()

						assert t.get_max_label() == 14

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




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()

						assert t.get_min_label() == 1

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




			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()

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







			def 			snake_case__			(							self       ):

						'''simple docstring'''


						UpperCamelCase__   =    self._get_binary_search_tree()

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



def     UpperCamelCase_(			)->						None:
			UpperCamelCase__   =    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					)

			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(13					)					)
			print("Label -1 exists:"			,       t.exists(-1					)					)
			print("Label 12 exists:"			,       t.exists(12					)					)

			# Prints all the elements of the list in inorder traversal
			UpperCamelCase__   =    [i.label for i in t.inorder_traversal()]
			print("Inorder traversal:"			,       _A					)

			# Prints all the elements of the list in preorder traversal
			UpperCamelCase__   =    [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(13					)
			t.remove(10					)
			t.remove(8					)
			t.remove(3					)
			t.remove(6					)
			t.remove(14					)

			# Prints all the elements of the list in inorder traversal after delete
			UpperCamelCase__   =    [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
			UpperCamelCase__   =    [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 argparse

import torch
from saprl.hub import distilhubert

from transformers import HubertConfig, HubertModel, WavaVecaFeatureExtractor, logging


logging.set_verbosity_info()
__UpperCamelCase      						=    logging.get_logger(__name__)

__UpperCamelCase      						=    {
    'post_extract_proj': 'feature_projection.projection',
    'encoder.pos_conv.0': 'encoder.pos_conv_embed.conv',
    'self_attn.k_proj': 'encoder.layers.*.attention.k_proj',
    'self_attn.v_proj': 'encoder.layers.*.attention.v_proj',
    'self_attn.q_proj': 'encoder.layers.*.attention.q_proj',
    'self_attn.out_proj': 'encoder.layers.*.attention.out_proj',
    'self_attn_layer_norm': 'encoder.layers.*.layer_norm',
    'fc1': 'encoder.layers.*.feed_forward.intermediate_dense',
    'fc2': 'encoder.layers.*.feed_forward.output_dense',
    'final_layer_norm': 'encoder.layers.*.final_layer_norm',
    'encoder.layer_norm': 'encoder.layer_norm',
    'mask_emb': 'masked_spec_embed',
}
def     UpperCamelCase_(			_A				:int			,       _A				:Dict			,       _A				:int			,       _A				:List[str]			,       _A				:Optional[int]					)->						Any:
			for attribute in key.split("."					):
						UpperCamelCase__   =    getattr(_A			,       _A					)

			if weight_type is not None:
						UpperCamelCase__   =    getattr(_A			,       _A					).shape
			else:
						UpperCamelCase__   =    hf_pointer.shape

			assert hf_shape == value.shape, (
			    F'''Shape of hf {key + '.' + weight_type if weight_type is not None else ''} is {hf_shape}, but should be'''
			    F''' {value.shape} for {full_name}'''
			)

			if weight_type == "weight":
						UpperCamelCase__   =    value
			elif weight_type == "weight_g":
						UpperCamelCase__   =    value
			elif weight_type == "weight_v":
						UpperCamelCase__   =    value
			elif weight_type == "bias":
						UpperCamelCase__   =    value
			else:
						UpperCamelCase__   =    value

			logger.info(F'''{key + '.' + weight_type if weight_type is not None else ''} was initialized from {full_name}.'''					)
def     UpperCamelCase_(			_A				:Optional[Any]			,       _A				:Dict					)->						List[Any]:
			UpperCamelCase__   =    []
			UpperCamelCase__   =    fairseq_model.state_dict()

			UpperCamelCase__   =    hf_model.feature_extractor

			for name, value in fairseq_dict.items():
						UpperCamelCase__   =    False
						if "conv_layers" in name:
									load_conv_layer(
									    _A			,       _A			,       _A			,       _A			,       hf_model.config.feat_extract_norm == "group"			,       )
									UpperCamelCase__   =    True
						else:
									for key, mapped_key in MAPPING.items():
												UpperCamelCase__   =    mapped_key

												if key in name:
															UpperCamelCase__   =    True
															if "*" in mapped_key:
																		UpperCamelCase__   =    name.split(_A					)[0].split("."					)[-2]
																		UpperCamelCase__   =    mapped_key.replace("*"			,       _A					)
															if "weight_g" in name:
																		UpperCamelCase__   =    "weight_g"
															elif "weight_v" in name:
																		UpperCamelCase__   =    "weight_v"
															elif "weight" in name:
																		UpperCamelCase__   =    "weight"
															elif "bias" in name:
																		UpperCamelCase__   =    "bias"
															else:
																		UpperCamelCase__   =    None
															set_recursively(_A			,       _A			,       _A			,       _A			,       _A					)
												continue
						if not is_used:
									unused_weights.append(_A					)

			logger.warning(F'''Unused weights: {unused_weights}'''					)
def     UpperCamelCase_(			_A				:Any			,       _A				:List[Any]			,       _A				:Union[str, Any]			,       _A				:Dict			,       _A				:Union[str, Any]					)->						Optional[Any]:
			UpperCamelCase__   =    full_name.split("conv_layers."					)[-1]
			UpperCamelCase__   =    name.split("."					)
			UpperCamelCase__   =    int(items[0]					)
			UpperCamelCase__   =    int(items[1]					)

			if type_id == 0:
						if "bias" in name:
									assert value.shape == feature_extractor.conv_layers[layer_id].conv.bias.data.shape, (
									    F'''{full_name} has size {value.shape}, but'''
									    F''' {feature_extractor.conv_layers[layer_id].conv.bias.data.shape} was found.'''
									)
									UpperCamelCase__   =    value
									logger.info(F'''Feat extract conv layer {layer_id} was initialized from {full_name}.'''					)
						elif "weight" in name:
									assert value.shape == feature_extractor.conv_layers[layer_id].conv.weight.data.shape, (
									    F'''{full_name} has size {value.shape}, but'''
									    F''' {feature_extractor.conv_layers[layer_id].conv.weight.data.shape} was found.'''
									)
									UpperCamelCase__   =    value
									logger.info(F'''Feat extract conv layer {layer_id} was initialized from {full_name}.'''					)
			elif (type_id == 2 and not use_group_norm) or (type_id == 2 and layer_id == 0 and use_group_norm):
						if "bias" in name:
									assert value.shape == feature_extractor.conv_layers[layer_id].layer_norm.bias.data.shape, (
									    F'''{full_name} has size {value.shape}, but {feature_extractor[layer_id].layer_norm.bias.data.shape} was'''
									    " found."
									)
									UpperCamelCase__   =    value
									logger.info(F'''Feat extract layer norm weight of layer {layer_id} was initialized from {full_name}.'''					)
						elif "weight" in name:
									assert value.shape == feature_extractor.conv_layers[layer_id].layer_norm.weight.data.shape, (
									    F'''{full_name} has size {value.shape}, but'''
									    F''' {feature_extractor[layer_id].layer_norm.weight.data.shape} was found.'''
									)
									UpperCamelCase__   =    value
									logger.info(F'''Feat extract layer norm weight of layer {layer_id} was initialized from {full_name}.'''					)
			else:
						unused_weights.append(_A					)
def     UpperCamelCase_(			_A				:Dict					)->						Union[str, Any]:
			UpperCamelCase__   =    HubertConfig()
			UpperCamelCase__   =    model.config

			UpperCamelCase__   =    fs_config.activation_dropout
			UpperCamelCase__   =    False
			UpperCamelCase__   =    fs_config.attention_dropout
			UpperCamelCase__   =    False
			UpperCamelCase__   =    eval(fs_config.extractor_conv_feature_layers					)
			UpperCamelCase__   =    [x[0] for x in conv_layers]
			UpperCamelCase__   =    [x[1] for x in conv_layers]
			UpperCamelCase__   =    [x[2] for x in conv_layers]
			UpperCamelCase__   =    "gelu"
			UpperCamelCase__   =    "layer" if fs_config.extractor_mode == "layer_norm" else "group"
			UpperCamelCase__   =    False
			UpperCamelCase__   =    0.0
			UpperCamelCase__   =    0.0
			UpperCamelCase__   =    fs_config.activation_fn
			UpperCamelCase__   =    fs_config.dropout
			UpperCamelCase__   =    fs_config.encoder_embed_dim
			UpperCamelCase__   =    0.0_2
			UpperCamelCase__   =    fs_config.encoder_ffn_embed_dim
			UpperCamelCase__   =    1e-5
			UpperCamelCase__   =    0.0
			UpperCamelCase__   =    fs_config.encoder_attention_heads
			UpperCamelCase__   =    fs_config.conv_pos_groups
			UpperCamelCase__   =    fs_config.conv_pos
			UpperCamelCase__   =    len(_A					)
			UpperCamelCase__   =    fs_config.encoder_layers

			return config
@torch.no_grad()
def     UpperCamelCase_(			_A				:str			,       _A				:Union[str, Any]=None					)->						str:
			UpperCamelCase__   =    distilhubert().model.model

			if config_path is not None:
						UpperCamelCase__   =    HubertConfig.from_pretrained(_A					)
			else:
						UpperCamelCase__   =    convert_config(_A					)
			UpperCamelCase__   =    model.eval()

			UpperCamelCase__   =    WavaVecaFeatureExtractor(
			    feature_size=1			,       sampling_rate=1_60_00			,       padding_value=0			,       do_normalize=_A			,       return_attention_mask=_A			,       )
			UpperCamelCase__   =    HubertModel(_A					)

			recursively_load_weights(_A			,       _A					)

			feature_extractor.save_pretrained(_A					)
			hf_model.save_pretrained(_A					)


if __name__ == "__main__":
						__UpperCamelCase      						=    argparse.ArgumentParser()
						parser.add_argument('--pytorch_dump_folder_path', default=None, type=str, help='Path to the output PyTorch model.')
						parser.add_argument('--config_path', default=None, type=str, help='Path to hf config.json of model to convert')
						__UpperCamelCase      						=    parser.parse_args()
						convert_hubert_checkpoint(args.pytorch_dump_folder_path, args.config_path)


