





"""simple docstring"""
from __future__ import annotations

import math
import random
from typing import Any






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :list[Any]		    =  []
             __SCREAMING_SNAKE_CASE       :int		    =  0
             __SCREAMING_SNAKE_CASE       :int		    =  0




       def    _UpperCamelCase					(						self							)      ->				bool:





             """simple docstring"""






             return self.head == self.tail




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             self.data.append(SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :List[Any]		    =  self.tail + 1




       def    _UpperCamelCase					(						self							)      ->				Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[Any]		    =  self.data[self.head]
             __SCREAMING_SNAKE_CASE       :Dict		    =  self.head + 1
             return ret




       def    _UpperCamelCase					(						self							)      ->				int:





             """simple docstring"""






             return self.tail - self.head




       def    _UpperCamelCase					(						self							)      ->				None:





             """simple docstring"""






             print(self.data							)
             print('''**************'''							)
             print(self.data[self.head : self.tail]							)






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[str]		    =  data
             __SCREAMING_SNAKE_CASE       :MyNode | None		    =  None
             __SCREAMING_SNAKE_CASE       :MyNode | None		    =  None
             __SCREAMING_SNAKE_CASE       :int		    =  1




       def    _UpperCamelCase					(						self							)      ->				Any:





             """simple docstring"""






             return self.data




       def    _UpperCamelCase					(						self							)      ->				MyNode | None:





             """simple docstring"""






             return self.left




       def    _UpperCamelCase					(						self							)      ->				MyNode | None:





             """simple docstring"""






             return self.right




       def    _UpperCamelCase					(						self							)      ->				int:





             """simple docstring"""






             return self.height




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :str		    =  data




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Any		    =  node




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Tuple		    =  node




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  height




def 					__lowerCamelCase       (							a_					:		MyNode | None							)      ->				int:
      if node is None:
            return 0
      return node.get_height()



def 					__lowerCamelCase       (							a_					:		int			,       a_					:		int							)      ->				int:
      if a > b:
            return a
      return b



def 					__lowerCamelCase       (							a_					:		MyNode							)      ->				MyNode:
      print('''left rotation node:'''			,       node.get_data()							)
      __SCREAMING_SNAKE_CASE       :List[str]		    =  node.get_left()
      assert ret is not None
      node.set_left(ret.get_right()							)
      ret.set_right(a_							)
      __SCREAMING_SNAKE_CASE       :List[Any]		    =  my_max(get_height(node.get_right()							)			,       get_height(node.get_left()							)							) + 1
      node.set_height(a_							)
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  my_max(get_height(ret.get_right()							)			,       get_height(ret.get_left()							)							) + 1
      ret.set_height(a_							)
      return ret



def 					__lowerCamelCase       (							a_					:		MyNode							)      ->				MyNode:
      print('''right rotation node:'''			,       node.get_data()							)
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  node.get_right()
      assert ret is not None
      node.set_right(ret.get_left()							)
      ret.set_left(a_							)
      __SCREAMING_SNAKE_CASE       :List[str]		    =  my_max(get_height(node.get_right()							)			,       get_height(node.get_left()							)							) + 1
      node.set_height(a_							)
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  my_max(get_height(ret.get_right()							)			,       get_height(ret.get_left()							)							) + 1
      ret.set_height(a_							)
      return ret



def 					__lowerCamelCase       (							a_					:		MyNode							)      ->				MyNode:
      __SCREAMING_SNAKE_CASE       :Dict		    =  node.get_left()
      assert left_child is not None
      node.set_left(left_rotation(a_							)							)
      return right_rotation(a_							)



def 					__lowerCamelCase       (							a_					:		MyNode							)      ->				MyNode:
      __SCREAMING_SNAKE_CASE       :List[Any]		    =  node.get_right()
      assert right_child is not None
      node.set_right(right_rotation(a_							)							)
      return left_rotation(a_							)



def 					__lowerCamelCase       (							a_					:		MyNode | None			,       a_					:		Any							)      ->				MyNode | None:
      if node is None:
            return MyNode(a_							)
      if data < node.get_data():
            node.set_left(insert_node(node.get_left()			,       a_							)							)
            if (
                get_height(node.get_left()							) - get_height(node.get_right()							) == 2
            ):  # an unbalance detected
                  __SCREAMING_SNAKE_CASE       :int		    =  node.get_left()
                  assert left_child is not None
                  if (
                      data < left_child.get_data()
                  ):  # new node is the left child of the left child
                        __SCREAMING_SNAKE_CASE       :List[str]		    =  right_rotation(a_							)
                  else:
                        __SCREAMING_SNAKE_CASE       :List[str]		    =  lr_rotation(a_							)
      else:
            node.set_right(insert_node(node.get_right()			,       a_							)							)
            if get_height(node.get_right()							) - get_height(node.get_left()							) == 2:
                  __SCREAMING_SNAKE_CASE       :List[Any]		    =  node.get_right()
                  assert right_child is not None
                  if data < right_child.get_data():
                        __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  rl_rotation(a_							)
                  else:
                        __SCREAMING_SNAKE_CASE       :Tuple		    =  left_rotation(a_							)
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  my_max(get_height(node.get_right()							)			,       get_height(node.get_left()							)							) + 1
      node.set_height(a_							)
      return node



def 					__lowerCamelCase       (							a_					:		MyNode							)      ->				Any:
      while True:
            __SCREAMING_SNAKE_CASE       :Tuple		    =  root.get_right()
            if right_child is None:
                  break
            __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  right_child
      return root.get_data()



def 					__lowerCamelCase       (							a_					:		MyNode							)      ->				Any:
      while True:
            __SCREAMING_SNAKE_CASE       :Tuple		    =  root.get_left()
            if left_child is None:
                  break
            __SCREAMING_SNAKE_CASE       :List[Any]		    =  left_child
      return root.get_data()



def 					__lowerCamelCase       (							a_					:		MyNode			,       a_					:		Any							)      ->				MyNode | None:
      __SCREAMING_SNAKE_CASE       :List[Any]		    =  root.get_left()
      __SCREAMING_SNAKE_CASE       :Any		    =  root.get_right()
      if root.get_data() == data:
            if left_child is not None and right_child is not None:
                  __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  get_left_most(a_							)
                  root.set_data(a_							)
                  root.set_right(del_node(a_			,       a_							)							)
            elif left_child is not None:
                  __SCREAMING_SNAKE_CASE       :List[Any]		    =  left_child
            elif right_child is not None:
                  __SCREAMING_SNAKE_CASE       :List[Any]		    =  right_child
            else:
                  return None
      elif root.get_data() > data:
            if left_child is None:
                  print('''No such data'''							)
                  return root
            else:
                  root.set_left(del_node(a_			,       a_							)							)
      else:  # root.get_data() < data
            if right_child is None:
                  return root
            else:
                  root.set_right(del_node(a_			,       a_							)							)

      if get_height(a_							) - get_height(a_							) == 2:
            assert right_child is not None
            if get_height(right_child.get_right()							) > get_height(right_child.get_left()							):
                  __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  left_rotation(a_							)
            else:
                  __SCREAMING_SNAKE_CASE       :int		    =  rl_rotation(a_							)
      elif get_height(a_							) - get_height(a_							) == -2:
            assert left_child is not None
            if get_height(left_child.get_left()							) > get_height(left_child.get_right()							):
                  __SCREAMING_SNAKE_CASE       :Tuple		    =  right_rotation(a_							)
            else:
                  __SCREAMING_SNAKE_CASE       :List[Any]		    =  lr_rotation(a_							)
      __SCREAMING_SNAKE_CASE       :List[str]		    =  my_max(get_height(root.get_right()							)			,       get_height(root.get_left()							)							) + 1
      root.set_height(a_							)
      return root






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self							)      ->				None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :MyNode | None		    =  None




       def    _UpperCamelCase					(						self							)      ->				int:





             """simple docstring"""






             return get_height(self.root							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             print('''insert:''' + str(SCREAMING_SNAKE_CASE__							)							)
             __SCREAMING_SNAKE_CASE       :List[Any]		    =  insert_node(self.root		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				None:





             """simple docstring"""






             print('''delete:''' + str(SCREAMING_SNAKE_CASE__							)							)
             if self.root is None:
                   print('''Tree is empty!'''							)
                   return
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  del_node(self.root		,SCREAMING_SNAKE_CASE__							)




       def __str__(						self		,)      ->				str:  # a level traversale, gives a more intuitive look on the tree





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[str]		    =  ''''''
             __SCREAMING_SNAKE_CASE       :int		    =  MyQueue()
             q.push(self.root							)
             __SCREAMING_SNAKE_CASE       :Dict		    =  self.get_height()
             if layer == 0:
                   return output
             __SCREAMING_SNAKE_CASE       :Tuple		    =  0
             while not q.is_empty():
                   __SCREAMING_SNAKE_CASE       :Tuple		    =  q.pop()
                   __SCREAMING_SNAKE_CASE       :Tuple		    =  ''' ''' * int(math.pow(2		,layer - 1							)							)
                   output += space
                   if node is None:
                         output += "*"
                         q.push(SCREAMING_SNAKE_CASE__							)
                         q.push(SCREAMING_SNAKE_CASE__							)
                   else:
                         output += str(node.get_data()							)
                         q.push(node.get_left()							)
                         q.push(node.get_right()							)
                   output += space
                   __SCREAMING_SNAKE_CASE       :List[str]		    =  cnt + 1
                   for i in range(1_00							):
                         if cnt == math.pow(2		,SCREAMING_SNAKE_CASE__							) - 1:
                               __SCREAMING_SNAKE_CASE       :List[Any]		    =  layer - 1
                               if layer == 0:
                                     output += "\n*************************************"
                                     return output
                               output += "\n"
                               break
             output += "\n*************************************"
             return output




def 					__lowerCamelCase       (							)      ->				None:
      import doctest

      doctest.testmod()


if __name__ == "__main__":
  _test()
  lowerCamelCase_       =		AVLtree()
  lowerCamelCase_       =		list(range(1_0))
  random.shuffle(lst)
  for i in lst:
    t.insert(i)
    print(str(t))
  random.shuffle(lst)
  for i in lst:
    t.del_node(i)
    print(str(t))






"""simple docstring"""
import argparse

import torch

from transformers import (
    UniSpeechSatConfig,
    UniSpeechSatForAudioFrameClassification,
    UniSpeechSatForSequenceClassification,
    UniSpeechSatForXVector,
    WavaVecaFeatureExtractor,
    logging,
)


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



def 					__lowerCamelCase       (							a_					:		Optional[int]			,       a_					:		Optional[int]			,       a_					:		Any							)      ->				List[Any]:
      __SCREAMING_SNAKE_CASE       :Any		    =  UniSpeechSatForSequenceClassification.from_pretrained(a_			,       config=a_							)
      __SCREAMING_SNAKE_CASE       :int		    =  downstream_dict['''projector.weight''']
      __SCREAMING_SNAKE_CASE       :List[Any]		    =  downstream_dict['''projector.bias''']
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  downstream_dict['''model.post_net.linear.weight''']
      __SCREAMING_SNAKE_CASE       :List[str]		    =  downstream_dict['''model.post_net.linear.bias''']
      return model



def 					__lowerCamelCase       (							a_					:		Union[str, Any]			,       a_					:		List[Any]			,       a_					:		List[Any]							)      ->				Optional[int]:
      __SCREAMING_SNAKE_CASE       :Any		    =  UniSpeechSatForAudioFrameClassification.from_pretrained(a_			,       config=a_							)
      __SCREAMING_SNAKE_CASE       :List[str]		    =  downstream_dict['''model.linear.weight''']
      __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  downstream_dict['''model.linear.bias''']
      return model



def 					__lowerCamelCase       (							a_					:		Optional[int]			,       a_					:		Optional[Any]			,       a_					:		int							)      ->				List[str]:
      __SCREAMING_SNAKE_CASE       :List[str]		    =  UniSpeechSatForXVector.from_pretrained(a_			,       config=a_							)
      __SCREAMING_SNAKE_CASE       :Optional[int]		    =  downstream_dict['''connector.weight''']
      __SCREAMING_SNAKE_CASE       :Tuple		    =  downstream_dict['''connector.bias''']
      for i, kernel_size in enumerate(hf_config.tdnn_kernel							):
            __SCREAMING_SNAKE_CASE       :str		    =  downstream_dict[
                f'''model.framelevel_feature_extractor.module.{i}.kernel.weight'''
            ]
            __SCREAMING_SNAKE_CASE       :int		    =  downstream_dict[f'''model.framelevel_feature_extractor.module.{i}.kernel.bias''']

      __SCREAMING_SNAKE_CASE       :Any		    =  downstream_dict['''model.utterancelevel_feature_extractor.linear1.weight''']
      __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  downstream_dict['''model.utterancelevel_feature_extractor.linear1.bias''']
      __SCREAMING_SNAKE_CASE       :Dict		    =  downstream_dict['''model.utterancelevel_feature_extractor.linear2.weight''']
      __SCREAMING_SNAKE_CASE       :Optional[int]		    =  downstream_dict['''model.utterancelevel_feature_extractor.linear2.bias''']
      __SCREAMING_SNAKE_CASE       :str		    =  downstream_dict['''objective.W''']
      return model



@torch.no_grad()
def 					__lowerCamelCase       (							a_					:		Optional[int]			,       a_					:		Union[str, Any]			,       a_					:		Any			,       a_					:		Union[str, Any]							)      ->				List[str]:
      __SCREAMING_SNAKE_CASE       :str		    =  torch.load(a_			,       map_location='''cpu'''							)

      __SCREAMING_SNAKE_CASE       :str		    =  checkpoint['''Downstream''']

      __SCREAMING_SNAKE_CASE       :str		    =  UniSpeechSatConfig.from_pretrained(a_							)
      __SCREAMING_SNAKE_CASE       :List[str]		    =  WavaVecaFeatureExtractor.from_pretrained(
          a_			,       return_attention_mask=a_			,       do_normalize=a_							)

      __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  hf_config.architectures[0]
      if arch.endswith('''ForSequenceClassification'''							):
            __SCREAMING_SNAKE_CASE       :str		    =  convert_classification(a_			,       a_			,       a_							)
      elif arch.endswith('''ForAudioFrameClassification'''							):
            __SCREAMING_SNAKE_CASE       :Tuple		    =  convert_diarization(a_			,       a_			,       a_							)
      elif arch.endswith('''ForXVector'''							):
            __SCREAMING_SNAKE_CASE       :List[Any]		    =  convert_xvector(a_			,       a_			,       a_							)
      else:
            raise NotImplementedError(f'''S3PRL weights conversion is not supported for {arch}'''							)

      if hf_config.use_weighted_layer_sum:
            __SCREAMING_SNAKE_CASE       :Dict		    =  checkpoint['''Featurizer''']['''weights''']

      hf_feature_extractor.save_pretrained(a_							)
      hf_model.save_pretrained(a_							)


if __name__ == "__main__":
  lowerCamelCase_       =		argparse.ArgumentParser()
  parser.add_argument(
      "--base_model_name", default=None, type=str, help="Name of the huggingface pretrained base model."
  )
  parser.add_argument("--config_path", default=None, type=str, help="Path to the huggingface classifier config.")
  parser.add_argument("--checkpoint_path", default=None, type=str, help="Path to the s3prl checkpoint.")
  parser.add_argument("--model_dump_path", default=None, type=str, help="Path to the final converted model.")
  lowerCamelCase_       =		parser.parse_args()
  convert_saprl_checkpoint(args.base_model_name, args.config_path, args.checkpoint_path, args.model_dump_path)