code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  import argparse
  
  from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
  from transformers.utils import logging
  
  
  logging.set_verbosity_info()
  
  
  
  
  
  def      _lowerCAmelCase		(		lowercase      ,			lowercase      ,			lowercase			)      ->      str:
  			# Initialise PyTorch model
  			__lowerCAmelCase      		=       TaConfig.from_json_file(lowercase			)
  			print(f'Building PyTorch model from configuration: {config}'			)
  			__lowerCAmelCase      		=       TaForConditionalGeneration(lowercase			)
  
  			# Load weights from tf checkpoint
  			load_tf_weights_in_ta(lowercase      ,			lowercase      ,			lowercase			)
  
  			# Save pytorch-model
  			print(f'Save PyTorch model to {pytorch_dump_path}'			)
  			model.save_pretrained(lowercase			)
  
  
  if __name__ == "__main__":
  	_a      :				str											=					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(
  	    """--config_file""",
  	    default=None,
  	    type=str,
  	    required=True,
  	    help=(
  	        """The config json file corresponding to the pre-trained T5 model. \nThis specifies the model architecture."""
  	    ),
  	)
  	parser.add_argument(
  	    """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
  	)
  	_a      :				Optional[int]											=					parser.parse_args()
  	convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  from __future__ import annotations
  
  from collections.abc import Iterable, Iterator
  from typing import Any, Generic, TypeVar
  
  _a      :				Dict											=					TypeVar("""T""", bound=bool)
  
  
  
  
  
  class 					_UpperCAmelCase							(		Generic[T]     ):
  		def __init__(						self,__SCREAMING_SNAKE_CASE    ):
  
  
  
  					'''simple docstring'''
  
  					__lowerCAmelCase      		=       value
  					__lowerCAmelCase      		=       None
  					__lowerCAmelCase      		=       None
  		@property
  		def 						lowerCamelCase__    (						self    ):
  
  
  
  					'''simple docstring'''
  
  					return self._value
  
  
  
  
  
  
  
  		@staticmethod
  		def 						lowerCamelCase__    (						__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE    ):
  
  
  
  					'''simple docstring'''
  
  					if not roota:
  								return roota
  
  					if not roota:
  								return roota
  
  					if roota.value > roota.value:
  								__lowerCAmelCase		, __lowerCAmelCase      		=       roota, roota
  
  					__lowerCAmelCase      		=       roota
  					__lowerCAmelCase      		=       roota.right
  					__lowerCAmelCase      		=       roota.left
  					__lowerCAmelCase      		=       SkewNode.merge(__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE    )
  
  					return result
  
  
  
  
  
  class 					_UpperCAmelCase							(		Generic[T]     ):
  		def __init__(						self,__SCREAMING_SNAKE_CASE = ()    ):
  
  
  
  					'''simple docstring'''
  
  					__lowerCAmelCase      		=       None
  					if data:
  								for item in data:
  											self.insert(__SCREAMING_SNAKE_CASE    )
  		def __bool__(						self    ):
  
  
  
  					'''simple docstring'''
  
  					return self._root is not None
  		def __iter__(						self    ):
  
  
  
  					'''simple docstring'''
  
  					__lowerCAmelCase      		=       []
  					while self:
  								result.append(self.pop()    )
  
  					# Pushing items back to the heap not to clear it.
  					for item in result:
  								self.insert(__SCREAMING_SNAKE_CASE    )
  
  					return iter(__SCREAMING_SNAKE_CASE    )
  		def 						lowerCamelCase__    (						self,__SCREAMING_SNAKE_CASE    ):
  
  
  
  					'''simple docstring'''
  
  					__lowerCAmelCase      		=       SkewNode.merge(self._root,SkewNode(__SCREAMING_SNAKE_CASE    )    )
  		def 						lowerCamelCase__    (						self    ):
  
  
  
  					'''simple docstring'''
  
  					__lowerCAmelCase      		=       self.top()
  					__lowerCAmelCase      		=       (
  					    SkewNode.merge(self._root.left,self._root.right    ) if self._root else None
  					)
  
  					return result
  		def 						lowerCamelCase__    (						self    ):
  
  
  
  					'''simple docstring'''
  
  					if not self._root:
  								raise IndexError("""Can't get top element for the empty heap."""    )
  					return self._root.value
  
  
  
  
  
  
  
  		def 						lowerCamelCase__    (						self    ):
  
  
  
  					'''simple docstring'''
  
  					__lowerCAmelCase      		=       None
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  