"""simple docstring"""






import argparse

import torch

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


logging.set_verbosity_info()


def 			UpperCAmelCase__       (				lowerCAmelCase__     :Optional[Any]					,		lowerCAmelCase__     :Dict					,		lowerCAmelCase__     :int		) ->    Tuple:
      '''simple docstring'''


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


if __name__ == "__main__":
       __lowerCAmelCase    :       List[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."""
       )
       __lowerCAmelCase    :       Optional[int]					     =parser.parse_args()
       convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.mobilebert_config_file, args.pytorch_dump_path)




"""simple docstring"""






from __future__ import annotations

from typing import Any





class  _A						:

      def __init__(						self		,       __lowerCAmelCase = 6						):







            """simple docstring"""



            lowercase														=	None
            lowercase														=	None
            self.create_linked_list(__lowerCAmelCase						)

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	Node()
            lowercase														=	current_node
            lowercase														=	current_node
            lowercase														=	current_node
            for _ in range(1		,       __lowerCAmelCase						):
                  lowercase														=	Node()
                  lowercase														=	current_node
                  lowercase														=	previous_node
                  lowercase														=	current_node
            lowercase														=	self.front
            lowercase														=	previous_node

      def 				A__       (						self						):







            """simple docstring"""



            return (
                self.front == self.rear
                and self.front is not None
                and self.front.data is None
            )

      def 				A__       (						self						):







            """simple docstring"""



            self.check_can_perform_operation()
            return self.front.data if self.front else None

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if self.rear is None:
                  return

            self.check_is_full()
            if not self.is_empty():
                  lowercase														=	self.rear.next
            if self.rear:
                  lowercase														=	data

      def 				A__       (						self						):







            """simple docstring"""



            self.check_can_perform_operation()
            if self.rear is None or self.front is None:
                  return None
            if self.front == self.rear:
                  lowercase														=	self.front.data
                  lowercase														=	None
                  return data

            lowercase														=	self.front
            lowercase														=	old_front.next
            lowercase														=	old_front.data
            lowercase														=	None
            return data

      def 				A__       (						self						):







            """simple docstring"""



            if self.is_empty():
                  raise Exception("""Empty Queue"""						)







      def 				A__       (						self						):







            """simple docstring"""



            if self.rear and self.rear.next == self.front:
                  raise Exception("""Full Queue"""						)






class  _A						:

      def __init__(						self						):







            """simple docstring"""



            lowercase														=	None
            lowercase														=	None
            lowercase														=	None


if __name__ == "__main__":
       import doctest

       doctest.testmod()



