



from __future__ import annotations

from random import random





class  lowerCamelCase__	:
     """simple docstring"""



     def __init__(self					,      __a = None     ):






           '''simple docstring'''



           lowerCamelCase             =		value
           lowerCamelCase             =		random()
           lowerCamelCase             =		None
           lowerCamelCase             =		None







     def __repr__(self     ):






           '''simple docstring'''



           from pprint import pformat

           if self.left is None and self.right is None:
                 return F"""'{self.value}: {self.prior:.5}'"""
           else:
                 return pformat(
                     {F"""{self.value}: {self.prior:.5}""": (self.left, self.right)}					,      indent=1     )







     def __str__(self     ):






           '''simple docstring'''



           lowerCamelCase             =		str(self.value     ) + " "
           lowerCamelCase             =		str(self.left or ""     )
           lowerCamelCase             =		str(self.right or ""     )
           return value + left + right



def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if root is None:  # None tree is split into 2 Nones
            return None, None
      elif root.value is None:
            return None, None
      else:
            if value < root.value:
                  lowerCamelCase      ,				lowerCamelCase             =		split(root.left , UpperCAmelCase__			)
                  return left, root
            else:
                  lowerCamelCase      ,				lowerCamelCase             =		split(root.right , UpperCAmelCase__			)
                  return root, right

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if (not left) or (not right):  # If one node is None, return the other
            return left or right
      elif left.prior < right.prior:
            lowerCamelCase             =		merge(left.right , UpperCAmelCase__			)
            return left
      else:
            lowerCamelCase             =		merge(UpperCAmelCase__ , right.left			)
            return right

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		Node(UpperCAmelCase__			)
      lowerCamelCase      ,				lowerCamelCase             =		split(UpperCAmelCase__ , UpperCAmelCase__			)
      return merge(merge(UpperCAmelCase__ , UpperCAmelCase__			) , UpperCAmelCase__			)

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase      ,				lowerCamelCase             =		split(UpperCAmelCase__ , value - 1			)
      lowerCamelCase      ,				lowerCamelCase             =		split(UpperCAmelCase__ , UpperCAmelCase__			)
      return merge(UpperCAmelCase__ , UpperCAmelCase__			)

def      __lowercase(						UpperCAmelCase__			):


      """simple docstring"""



      if not root:  # None
            return
      else:
            inorder(root.left			)
            print(root.value , end=","			)
            inorder(root.right			)

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      for arg in args.split():
            if arg[0] == "+":
                  lowerCamelCase             =		insert(UpperCAmelCase__ , int(arg[1:]			)			)

            elif arg[0] == "-":
                  lowerCamelCase             =		erase(UpperCAmelCase__ , int(arg[1:]			)			)

            else:
                  print("Unknown command"			)

      return root

def      __lowercase(						):


      """simple docstring"""



      lowerCamelCase             =		None
      print(
          "enter numbers to create a tree, + value to add value into treap, "
          "- value to erase all nodes with value. 'q' to quit. "			)

      lowerCamelCase             =		input()
      while args != "q":
            lowerCamelCase             =		interact_treap(UpperCAmelCase__ , UpperCAmelCase__			)
            print(UpperCAmelCase__			)
            lowerCamelCase             =		input()

      print("good by!"			)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()




import argparse

import torch

from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging


logging.set_verbosity_info()

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		MobileBertConfig.from_json_file(UpperCAmelCase__			)
      print(F"""Building PyTorch model from configuration: {config}"""			)
      lowerCamelCase             =		MobileBertForPreTraining(UpperCAmelCase__			)
      # Load weights from tf checkpoint
      lowerCamelCase             =		load_tf_weights_in_mobilebert(UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			)
      # Save pytorch-model
      print(F"""Save PyTorch model to {pytorch_dump_path}"""			)
      torch.save(model.state_dict() , UpperCAmelCase__			)


if __name__ == "__main__":
     a_    :  Any						  =		argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         '--tf_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
     )
     parser.add_argument(
         '--mobilebert_config_file',
         default=None,
         type=str,
         required=True,
         help=(
             'The config json file corresponding to the pre-trained MobileBERT model. \n'
             'This specifies the model architecture.'
         ),
     )
     parser.add_argument(
         '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
     )
     a_    :  List[Any]						  =		parser.parse_args()
     convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.mobilebert_config_file, args.pytorch_dump_path)