

from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class 					lowercase							:




				def __init__(   self ,  snake_case			):
											snake_case_     							=       data
											snake_case_     							=       None







class 					lowercase							:




				def __init__(   self			):
											snake_case_     							=       None
											snake_case_     							=       None




				def __iter__(   self			):
											snake_case_     							=       self.head
											while self.head:
																		yield node.data
																		snake_case_     							=       node.next
																		if node == self.head:
																									break




				def __len__(   self			):
											return sum(1 for _ in self			)




				def __repr__(   self			):
											return "->".join(str(snake_case			) for item in iter(self			)			)




				def        a				(   self ,  snake_case			):
											self.insert_nth(len(self			) ,  snake_case			)




				def        a				(   self ,  snake_case			):
											self.insert_nth(0 ,  snake_case			)




				def        a				(   self ,  snake_case ,  snake_case			):
											if index < 0 or index > len(self			):
																		raise IndexError('list index out of range.'			)
											snake_case_     							=       Node(snake_case			)
											if self.head is None:
																		snake_case_     							=       new_node  # first node points itself
																		snake_case_     							=       snake_case_     							=       new_node
											elif index == 0:  # insert at head
																		snake_case_     							=       self.head
																		snake_case_     							=       snake_case_     							=       new_node
											else:
																		snake_case_     							=       self.head
																		for _ in range(index - 1			):
																									snake_case_     							=       temp.next
																		snake_case_     							=       temp.next
																		snake_case_     							=       new_node
																		if index == len(self			) - 1:  # insert at tail
																									snake_case_     							=       new_node




				def        a				(   self			):
											return self.delete_nth(0			)




				def        a				(   self			):
											return self.delete_nth(len(self			) - 1			)




				def        a				(   self ,  snake_case = 0			):
											if not 0 <= index < len(self			):
																		raise IndexError('list index out of range.'			)
											snake_case_     							=       self.head
											if self.head == self.tail:  # just one node
																		snake_case_     							=       snake_case_     							=       None
											elif index == 0:  # delete head node
																		snake_case_     							=       self.tail.next.next
																		snake_case_     							=       self.head.next
											else:
																		snake_case_     							=       self.head
																		for _ in range(index - 1			):
																									snake_case_     							=       temp.next
																		snake_case_     							=       temp.next
																		snake_case_     							=       temp.next.next
																		if index == len(self			) - 1:  # delete at tail
																									snake_case_     							=       temp
											return delete_node.data




				def        a				(   self			):
											return len(self			) == 0





def    __lowerCamelCase      (					):







							'''simple docstring'''






							snake_case_     							=       CircularLinkedList()
							assert len(UpperCamelCase__ ) == 0
							assert circular_linked_list.is_empty() is True
							assert str(UpperCamelCase__ ) == ""

							try:
														circular_linked_list.delete_front()
														raise AssertionError  # This should not happen
							except IndexError:
														assert True  # This should happen

							try:
														circular_linked_list.delete_tail()
														raise AssertionError  # This should not happen
							except IndexError:
														assert True  # This should happen

							try:
														circular_linked_list.delete_nth(-1 )
														raise AssertionError
							except IndexError:
														assert True

							try:
														circular_linked_list.delete_nth(0 )
														raise AssertionError
							except IndexError:
														assert True

							assert circular_linked_list.is_empty() is True
							for i in range(5 ):
														assert len(UpperCamelCase__ ) == i
														circular_linked_list.insert_nth(UpperCamelCase__  ,				i + 1 )
							assert str(UpperCamelCase__ ) == "->".join(str(UpperCamelCase__ ) for i in range(1  ,				6 ) )

							circular_linked_list.insert_tail(6 )
							assert str(UpperCamelCase__ ) == "->".join(str(UpperCamelCase__ ) for i in range(1  ,				7 ) )
							circular_linked_list.insert_head(0 )
							assert str(UpperCamelCase__ ) == "->".join(str(UpperCamelCase__ ) for i in range(0  ,				7 ) )

							assert circular_linked_list.delete_front() == 0
							assert circular_linked_list.delete_tail() == 6
							assert str(UpperCamelCase__ ) == "->".join(str(UpperCamelCase__ ) for i in range(1  ,				6 ) )
							assert circular_linked_list.delete_nth(2 ) == 3

							circular_linked_list.insert_nth(2  ,				3 )
							assert str(UpperCamelCase__ ) == "->".join(str(UpperCamelCase__ ) for i in range(1  ,				6 ) )

							assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
					import doctest

					doctest.testmod()







import argparse

import torch

from transformers import BertConfig, BertForPreTraining, load_tf_weights_in_bert
from transformers.utils import logging


logging.set_verbosity_info()





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       BertConfig.from_json_file(UpperCamelCase__ )
							print(F'''Building PyTorch model from configuration: {config}''' )
							snake_case_     							=       BertForPreTraining(UpperCamelCase__ )

							# Load weights from tf checkpoint
							load_tf_weights_in_bert(UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__ )

							# Save pytorch-model
							print(F'''Save PyTorch model to {pytorch_dump_path}''' )
							torch.save(model.state_dict()  ,				UpperCamelCase__ )


if __name__ == "__main__":
					_UpperCAmelCase						:  Union[str, 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(
					    """--bert_config_file""",
					    default=None,
					    type=str,
					    required=True,
					    help=(
					        """The config json file corresponding to the pre-trained BERT 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."""
					)
					_UpperCAmelCase						:  Any									=			parser.parse_args()
					convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)




