





'''simple docstring'''
from __future__ import annotations

import math
import random
from typing import Any

class      snake_case     :




 """simple docstring"""



 def __init__(       self       :							Any	):
        __UpperCamelCase       =  []
        __UpperCamelCase       =  0
        __UpperCamelCase       =  0






 def        _lowerCamelCase					(       self       :							List[Any]	):
        return self.head == self.tail






 def        _lowerCamelCase					(       self       :							str							,	__A       :							Any	):
        self.data.append(__A	)
        __UpperCamelCase       =  self.tail + 1






 def        _lowerCamelCase					(       self       :							List[Any]	):
        __UpperCamelCase       =  self.data[self.head]
        __UpperCamelCase       =  self.head + 1
        return ret






 def        _lowerCamelCase					(       self       :							Union[str, Any]	):
        return self.tail - self.head






 def        _lowerCamelCase					(       self       :							List[Any]	):
        print(self.data	)
        print('**************'	)
        print(self.data[self.head : self.tail]	)






class      snake_case     :




 """simple docstring"""



 def __init__(       self       :							str							,	__A       :							Any	):
        __UpperCamelCase       =  data
        __UpperCamelCase       =  None
        __UpperCamelCase       =  None
        __UpperCamelCase       =  1






 def        _lowerCamelCase					(       self       :							List[str]	):
        return self.data






 def        _lowerCamelCase					(       self       :							Union[str, Any]	):
        return self.left






 def        _lowerCamelCase					(       self       :							List[str]	):
        return self.right






 def        _lowerCamelCase					(       self       :							Tuple	):
        return self.height






 def        _lowerCamelCase					(       self       :							int							,	__A       :							Any	):
        __UpperCamelCase       =  data






 def        _lowerCamelCase					(       self       :							List[Any]							,	__A       :							MyNode | None	):
        __UpperCamelCase       =  node






 def        _lowerCamelCase					(       self       :							Dict							,	__A       :							MyNode | None	):
        __UpperCamelCase       =  node






 def        _lowerCamelCase					(       self       :							List[Any]							,	__A       :							int	):
        __UpperCamelCase       =  height






def 				lowercase__   (   __lowercase						:  str     ) ->      int:



       """simple docstring"""






       if node is None:
              return 0
       return node.get_height()
def 				lowercase__   (   __lowercase						:  Any				,  __lowercase						:  int     ) ->      int:



       """simple docstring"""






       if a > b:
              return a
       return b
def 				lowercase__   (   __lowercase						:  Union[str, Any]     ) ->      MyNode:



       """simple docstring"""






       print('left rotation node:'				,  node.get_data()     )
       __UpperCamelCase       =  node.get_left()
       assert ret is not None
       node.set_left(ret.get_right()     )
       ret.set_right(SCREAMING_SNAKE_CASE__     )
       __UpperCamelCase       =  my_max(get_height(node.get_right()     )				,  get_height(node.get_left()     )     ) + 1
       node.set_height(SCREAMING_SNAKE_CASE__     )
       __UpperCamelCase       =  my_max(get_height(ret.get_right()     )				,  get_height(ret.get_left()     )     ) + 1
       ret.set_height(SCREAMING_SNAKE_CASE__     )
       return ret
def 				lowercase__   (   __lowercase						:  Any     ) ->      MyNode:



       """simple docstring"""






       print('right rotation node:'				,  node.get_data()     )
       __UpperCamelCase       =  node.get_right()
       assert ret is not None
       node.set_right(ret.get_left()     )
       ret.set_left(SCREAMING_SNAKE_CASE__     )
       __UpperCamelCase       =  my_max(get_height(node.get_right()     )				,  get_height(node.get_left()     )     ) + 1
       node.set_height(SCREAMING_SNAKE_CASE__     )
       __UpperCamelCase       =  my_max(get_height(ret.get_right()     )				,  get_height(ret.get_left()     )     ) + 1
       ret.set_height(SCREAMING_SNAKE_CASE__     )
       return ret
def 				lowercase__   (   __lowercase						:  Tuple     ) ->      MyNode:



       """simple docstring"""






       __UpperCamelCase       =  node.get_left()
       assert left_child is not None
       node.set_left(left_rotation(SCREAMING_SNAKE_CASE__     )     )
       return right_rotation(SCREAMING_SNAKE_CASE__     )
def 				lowercase__   (   __lowercase						:  Union[str, Any]     ) ->      MyNode:



       """simple docstring"""






       __UpperCamelCase       =  node.get_right()
       assert right_child is not None
       node.set_right(right_rotation(SCREAMING_SNAKE_CASE__     )     )
       return left_rotation(SCREAMING_SNAKE_CASE__     )
def 				lowercase__   (   __lowercase						:  Union[str, Any]				,  __lowercase						:  str     ) ->      MyNode | None:



       """simple docstring"""






       if node is None:
              return MyNode(SCREAMING_SNAKE_CASE__     )
       if data < node.get_data():
              node.set_left(insert_node(node.get_left()				,  SCREAMING_SNAKE_CASE__     )     )
              if (
                  get_height(node.get_left()     ) - get_height(node.get_right()     ) == 2
              ):  # an unbalance detected
                     __UpperCamelCase       =  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
                            __UpperCamelCase       =  right_rotation(SCREAMING_SNAKE_CASE__     )
                     else:
                            __UpperCamelCase       =  lr_rotation(SCREAMING_SNAKE_CASE__     )
       else:
              node.set_right(insert_node(node.get_right()				,  SCREAMING_SNAKE_CASE__     )     )
              if get_height(node.get_right()     ) - get_height(node.get_left()     ) == 2:
                     __UpperCamelCase       =  node.get_right()
                     assert right_child is not None
                     if data < right_child.get_data():
                            __UpperCamelCase       =  rl_rotation(SCREAMING_SNAKE_CASE__     )
                     else:
                            __UpperCamelCase       =  left_rotation(SCREAMING_SNAKE_CASE__     )
       __UpperCamelCase       =  my_max(get_height(node.get_right()     )				,  get_height(node.get_left()     )     ) + 1
       node.set_height(SCREAMING_SNAKE_CASE__     )
       return node
def 				lowercase__   (   __lowercase						:  List[str]     ) ->      Any:



       """simple docstring"""






       while True:
              __UpperCamelCase       =  root.get_right()
              if right_child is None:
                     break
              __UpperCamelCase       =  right_child
       return root.get_data()
def 				lowercase__   (   __lowercase						:  int     ) ->      Any:



       """simple docstring"""






       while True:
              __UpperCamelCase       =  root.get_left()
              if left_child is None:
                     break
              __UpperCamelCase       =  left_child
       return root.get_data()
def 				lowercase__   (   __lowercase						:  int				,  __lowercase						:  Optional[Any]     ) ->      MyNode | None:



       """simple docstring"""






       __UpperCamelCase       =  root.get_left()
       __UpperCamelCase       =  root.get_right()
       if root.get_data() == data:
              if left_child is not None and right_child is not None:
                     __UpperCamelCase       =  get_left_most(SCREAMING_SNAKE_CASE__     )
                     root.set_data(SCREAMING_SNAKE_CASE__     )
                     root.set_right(del_node(SCREAMING_SNAKE_CASE__				,  SCREAMING_SNAKE_CASE__     )     )
              elif left_child is not None:
                     __UpperCamelCase       =  left_child
              elif right_child is not None:
                     __UpperCamelCase       =  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(SCREAMING_SNAKE_CASE__				,  SCREAMING_SNAKE_CASE__     )     )
       else:  # root.get_data() < data
              if right_child is None:
                     return root
              else:
                     root.set_right(del_node(SCREAMING_SNAKE_CASE__				,  SCREAMING_SNAKE_CASE__     )     )

       if get_height(SCREAMING_SNAKE_CASE__     ) - get_height(SCREAMING_SNAKE_CASE__     ) == 2:
              assert right_child is not None
              if get_height(right_child.get_right()     ) > get_height(right_child.get_left()     ):
                     __UpperCamelCase       =  left_rotation(SCREAMING_SNAKE_CASE__     )
              else:
                     __UpperCamelCase       =  rl_rotation(SCREAMING_SNAKE_CASE__     )
       elif get_height(SCREAMING_SNAKE_CASE__     ) - get_height(SCREAMING_SNAKE_CASE__     ) == -2:
              assert left_child is not None
              if get_height(left_child.get_left()     ) > get_height(left_child.get_right()     ):
                     __UpperCamelCase       =  right_rotation(SCREAMING_SNAKE_CASE__     )
              else:
                     __UpperCamelCase       =  lr_rotation(SCREAMING_SNAKE_CASE__     )
       __UpperCamelCase       =  my_max(get_height(root.get_right()     )				,  get_height(root.get_left()     )     ) + 1
       root.set_height(SCREAMING_SNAKE_CASE__     )
       return root

class      snake_case     :




 """simple docstring"""



 def __init__(       self       :							List[str]	):
        __UpperCamelCase       =  None






 def        _lowerCamelCase					(       self       :							Dict	):
        return get_height(self.root	)






 def        _lowerCamelCase					(       self       :							List[str]							,	__A       :							Any	):
        print('insert:' + str(__A	)	)
        __UpperCamelCase       =  insert_node(self.root							,	__A	)






 def        _lowerCamelCase					(       self       :							List[str]							,	__A       :							Any	):
        print('delete:' + str(__A	)	)
        if self.root is None:
               print('Tree is empty!'	)
               return
        __UpperCamelCase       =  del_node(self.root							,	__A	)






 def __str__(       self       :							int							,	):  # a level traversale, gives a more intuitive look on the tree
        __UpperCamelCase       =  """"""
        __UpperCamelCase       =  MyQueue()
        q.push(self.root	)
        __UpperCamelCase       =  self.get_height()
        if layer == 0:
               return output
        __UpperCamelCase       =  0
        while not q.is_empty():
               __UpperCamelCase       =  q.pop()
               __UpperCamelCase       =  """ """ * int(math.pow(2							,	layer - 1	)	)
               output += space
               if node is None:
                      output += "*"
                      q.push(__A	)
                      q.push(__A	)
               else:
                      output += str(node.get_data()	)
                      q.push(node.get_left()	)
                      q.push(node.get_right()	)
               output += space
               __UpperCamelCase       =  cnt + 1
               for i in range(1_0_0	):
                      if cnt == math.pow(2							,	__A	) - 1:
                             __UpperCamelCase       =  layer - 1
                             if layer == 0:
                                    output += "\n*************************************"
                                    return output
                             output += "\n"
                             break
        output += "\n*************************************"
        return output






def 				lowercase__   (   ) ->      None:



       """simple docstring"""






       import doctest

       doctest.testmod()


if __name__ == "__main__":
    _test()
    a__							:							Dict =AVLtree()
    a__							:							Optional[Any] =list(range(10))
    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))







import argparse
import re

import torch
from CLAP import create_model

from transformers import AutoFeatureExtractor, ClapConfig, ClapModel


__UpperCAmelCase       :   Any				       =							{
    "text_branch": "text_model",
    "audio_branch": "audio_model.audio_encoder",
    "attn": "attention.self",
    "self.proj": "output.dense",
    "attention.self_mask": "attn_mask",
    "mlp.fc1": "intermediate.dense",
    "mlp.fc2": "output.dense",
    "norm1": "layernorm_before",
    "norm2": "layernorm_after",
    "bn0": "batch_norm",
}

__UpperCAmelCase       :   List[str]				       =							AutoFeatureExtractor.from_pretrained("laion/clap-htsat-unfused", truncation="rand_trunc")







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__=False)   ->    Union[str, Any]:
  __snake_case  ,   __snake_case:						int   =						create_model(
      """HTSAT-tiny"""					,					"""roberta"""					,					SCREAMING_SNAKE_CASE__					,					precision="""fp32"""					,					device="""cuda:0""" if torch.cuda.is_available() else """cpu"""					,					enable_fusion=SCREAMING_SNAKE_CASE__					,					fusion_type="""aff_2d""" if enable_fusion else None					,					)
  return model, model_cfg







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Any:
  __snake_case:						Optional[Any]   =						{}

  __snake_case:						int   =						r""".*sequential.(\d+).*"""
  __snake_case:						List[str]   =						r""".*_projection.(\d+).*"""

  for key, value in state_dict.items():
    # check if any key needs to be modified
    for key_to_modify, new_key in KEYS_TO_MODIFY_MAPPING.items():
      if key_to_modify in key:
        __snake_case:						Tuple   =						key.replace(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)

    if re.match(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__):
      # replace sequential layers with list
      __snake_case:						Optional[int]   =						re.match(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__).group(1)

      __snake_case:						str   =						key.replace(F'''sequential.{sequential_layer}.'''					,					F'''layers.{int(SCREAMING_SNAKE_CASE__)//3}.linear.''')
    elif re.match(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__):
      __snake_case:						Any   =						int(re.match(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__).group(1))

      # Because in CLAP they use `nn.Sequential`...
      __snake_case:						Dict   =						1 if projecton_layer == 0 else 2

      __snake_case:						Any   =						key.replace(F'''_projection.{projecton_layer}.'''					,					F'''_projection.linear{transformers_projection_layer}.''')

    if "audio" and "qkv" in key:
      # split qkv into query key and value
      __snake_case:						List[str]   =						value
      __snake_case:						Optional[Any]   =						mixed_qkv.size(0) // 3

      __snake_case:						Union[str, Any]   =						mixed_qkv[:qkv_dim]
      __snake_case:						Dict   =						mixed_qkv[qkv_dim : qkv_dim * 2]
      __snake_case:						int   =						mixed_qkv[qkv_dim * 2 :]

      __snake_case:						Optional[Any]   =						query_layer
      __snake_case:						str   =						key_layer
      __snake_case:						int   =						value_layer
    else:
      __snake_case:						Dict   =						value

  return model_state_dict







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__=False)   ->    Optional[Any]:
  __snake_case  ,   __snake_case:						List[str]   =						init_clap(SCREAMING_SNAKE_CASE__					,					enable_fusion=SCREAMING_SNAKE_CASE__)

  clap_model.eval()
  __snake_case:						List[str]   =						clap_model.state_dict()
  __snake_case:						Optional[int]   =						rename_state_dict(SCREAMING_SNAKE_CASE__)

  __snake_case:						Any   =						ClapConfig()
  __snake_case:						Dict   =						enable_fusion
  __snake_case:						List[str]   =						ClapModel(SCREAMING_SNAKE_CASE__)

  # ignore the spectrogram embedding layer
  model.load_state_dict(SCREAMING_SNAKE_CASE__					,					strict=SCREAMING_SNAKE_CASE__)

  model.save_pretrained(SCREAMING_SNAKE_CASE__)
  transformers_config.save_pretrained(SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
      __UpperCAmelCase       :   Union[str, Any]				       =							argparse.ArgumentParser()
      parser.add_argument("--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model.")
      parser.add_argument("--checkpoint_path", default=None, type=str, help="Path to fairseq checkpoint")
      parser.add_argument("--config_path", default=None, type=str, help="Path to hf config.json of model to convert")
      parser.add_argument("--enable_fusion", action="store_true", help="Whether to enable fusion or not")
      __UpperCAmelCase       :   Tuple				       =							parser.parse_args()

      convert_clap_checkpoint(args.checkpoint_path, args.pytorch_dump_folder_path, args.config_path, args.enable_fusion)






