




'''simple docstring'''







import argparse

import torch

from transformers import RoFormerConfig, RoFormerForMaskedLM, load_tf_weights_in_roformer
from transformers.utils import logging


logging.set_verbosity_info()






def 	_lowercase	(			lowercase_		,							lowercase_		,							lowercase_						):



		'''simple docstring'''







		_snake_case			 = RoFormerConfig.from_json_file(lowercase_						)
		print(f'''Building PyTorch model from configuration: {config}'''						)
		_snake_case			 = RoFormerForMaskedLM(lowercase_						)

		# Load weights from tf checkpoint
		load_tf_weights_in_roformer(lowercase_		,							lowercase_		,							lowercase_						)

		# Save pytorch-model
		print(f'''Save PyTorch model to {pytorch_dump_path}'''						)
		torch.save(model.state_dict()		,							lowercase_		,							_use_new_zipfile_serialization=lowercase_						)


if __name__ == "__main__":
						_lowerCamelCase							:		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.'
						)
						_lowerCamelCase							:		Optional[Any]										=						parser.parse_args()
						convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)











'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

_lowerCamelCase							:		List[str]										=						TypeVar('T', bound=bool)





class   lowerCamelCase_							( Generic[T]							):




					'''simple docstring'''






					def __init__(					self,						__UpperCamelCase				):
							_snake_case			 = value
							_snake_case			 = None
							_snake_case			 = None






					@property
					def        __SCREAMING_SNAKE_CASE			(					self				):
							return self._value






					@staticmethod
					def        __SCREAMING_SNAKE_CASE			(					__UpperCamelCase,						__UpperCamelCase				):
							if not roota:
									return roota

							if not roota:
									return roota

							if roota.value > roota.value:
									_snake_case ,					_snake_case			 = roota, roota

							_snake_case			 = roota
							_snake_case			 = roota.right
							_snake_case			 = roota.left
							_snake_case			 = SkewNode.merge(__UpperCamelCase,						__UpperCamelCase				)

							return result





class   lowerCamelCase_							( Generic[T]							):




					'''simple docstring'''






					def __init__(					self,						__UpperCamelCase = ()				):
							_snake_case			 = None
							if data:
									for item in data:
											self.insert(__UpperCamelCase				)






					def __bool__(					self				):
							return self._root is not None






					def __iter__(					self				):
							_snake_case			 = []
							while self:
									result.append(self.pop()				)

							# Pushing items back to the heap not to clear it.
							for item in result:
									self.insert(__UpperCamelCase				)

							return iter(__UpperCamelCase				)






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
							_snake_case			 = SkewNode.merge(self._root,						SkewNode(__UpperCamelCase				)				)






					def        __SCREAMING_SNAKE_CASE			(					self				):
							_snake_case			 = self.top()
							_snake_case			 = (
							    SkewNode.merge(self._root.left,						self._root.right				) if self._root else None
							)

							return result






					def        __SCREAMING_SNAKE_CASE			(					self				):
							if not self._root:
									raise IndexError("Can't get top element for the empty heap."				)
							return self._root.value






					def        __SCREAMING_SNAKE_CASE			(					self				):
							_snake_case			 = None


if __name__ == "__main__":
						import doctest

						doctest.testmod()





