






"""simple docstring"""
import argparse
import os

import numpy as np
import tensorflow as tf
import torch

from transformers import BertModel

def        snake_case   (     A__			,A__			,A__		):
			UpperCAmelCase_  :				Any      =      ("dense.weight", "attention.self.query", "attention.self.key", "attention.self.value")

			UpperCAmelCase_  :				int      =      (
			    ("layer.", "layer_"),
			    ("word_embeddings.weight", "word_embeddings"),
			    ("position_embeddings.weight", "position_embeddings"),
			    ("token_type_embeddings.weight", "token_type_embeddings"),
			    (".", "/"),
			    ("LayerNorm/weight", "LayerNorm/gamma"),
			    ("LayerNorm/bias", "LayerNorm/beta"),
			    ("weight", "kernel"),
			)

			if not os.path.isdir(A__		):
						os.makedirs(A__		)

			UpperCAmelCase_  :				Optional[Any]      =      model.state_dict()

			def to_tf_var_name(A__		):
						for patt, repl in iter(A__		):
									UpperCAmelCase_  :				Dict      =      name.replace(A__			,A__		)
						return F"""bert/{name}"""

			def create_tf_var(A__			,A__			,A__		):
						UpperCAmelCase_  :				Union[str, Any]      =      tf.dtypes.as_dtype(tensor.dtype		)
						UpperCAmelCase_  :				Optional[Any]      =      tf.get_variable(dtype=A__			,shape=tensor.shape			,name=A__			,initializer=tf.zeros_initializer()		)
						session.run(tf.variables_initializer([tf_var]		)		)
						session.run(A__		)
						return tf_var

			tf.reset_default_graph()
			with tf.Session() as session:
						for var_name in state_dict:
									UpperCAmelCase_  :				Optional[int]      =      to_tf_var_name(A__		)
									UpperCAmelCase_  :				str      =      state_dict[var_name].numpy()
									if any(x in var_name for x in tensors_to_transpose		):
												UpperCAmelCase_  :				Union[str, Any]      =      torch_tensor.T
									UpperCAmelCase_  :				Dict      =      create_tf_var(tensor=A__			,name=A__			,session=A__		)
									tf.keras.backend.set_value(A__			,A__		)
									UpperCAmelCase_  :				str      =      session.run(A__		)
									print(F"""Successfully created {tf_name}: {np.allclose(A__			,A__		)}"""		)

						UpperCAmelCase_  :				List[str]      =      tf.train.Saver(tf.trainable_variables()		)
						saver.save(A__			,os.path.join(A__			,model_name.replace("-"			,"_"		) + ".ckpt"		)		)

def        snake_case   (     A__=None		):
			UpperCAmelCase_  :				Union[str, Any]      =      argparse.ArgumentParser()
			parser.add_argument("--model_name"			,type=A__			,required=A__			,help="model name e.g. bert-base-uncased"		)
			parser.add_argument(
			    "--cache_dir"			,type=A__			,default=A__			,required=A__			,help="Directory containing pytorch model"		)
			parser.add_argument("--pytorch_model_path"			,type=A__			,required=A__			,help="/path/to/<pytorch-model-name>.bin"		)
			parser.add_argument("--tf_cache_dir"			,type=A__			,required=A__			,help="Directory in which to save tensorflow model"		)
			UpperCAmelCase_  :				Any      =      parser.parse_args(A__		)

			UpperCAmelCase_  :				List[str]      =      BertModel.from_pretrained(
			    pretrained_model_name_or_path=args.model_name			,state_dict=torch.load(args.pytorch_model_path		)			,cache_dir=args.cache_dir			,)

			convert_pytorch_checkpoint_to_tf(model=A__			,ckpt_dir=args.tf_cache_dir			,model_name=args.model_name		)


if __name__ == "__main__":
			main()











"""simple docstring"""
class     UpperCamelCase_ :





	def __init__(   self      :				List[str]			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int=None			,			lowerCAmelCase_      :				List[Any]=None		)		->    int:
				UpperCAmelCase_  :				int      =      data
				UpperCAmelCase_  :				Optional[int]      =      previous
				UpperCAmelCase_  :				int      =      next_node





	def __str__(   self      :				Dict		)		->    str:
				return f"""{self.data}"""





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    int:
				return self.data





	def   _SCREAMING_SNAKE_CASE   (   self      :				Dict		)		->    Union[str, Any]:
				return self.next





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    Optional[int]:
				return self.previous







class     UpperCamelCase_ :





	def __init__(   self      :				Any			,			lowerCAmelCase_      :				str		)		->    List[str]:
				UpperCAmelCase_  :				Union[str, Any]      =      head





	def __iter__(   self      :				Any		)		->    List[str]:
				return self





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    str:
				if not self.current:
							raise StopIteration
				else:
							UpperCAmelCase_  :				Optional[int]      =      self.current.get_data()
							UpperCAmelCase_  :				Dict      =      self.current.get_next()
							return value







class     UpperCamelCase_ :





	def __init__(   self      :				List[str]		)		->    Tuple:
				UpperCAmelCase_  :				Tuple      =      None  # First node in list
				UpperCAmelCase_  :				Union[str, Any]      =      None  # Last node in list





	def __str__(   self      :				List[Any]		)		->    Optional[int]:
				UpperCAmelCase_  :				List[str]      =      self.head
				UpperCAmelCase_  :				int      =      []
				while current is not None:
							nodes.append(current.get_data()		)
							UpperCAmelCase_  :				Optional[Any]      =      current.get_next()
				return " ".join(str(lowerCAmelCase_		) for node in nodes		)





	def __contains__(   self      :				int			,			lowerCAmelCase_      :				int		)		->    List[str]:
				UpperCAmelCase_  :				Optional[int]      =      self.head
				while current:
							if current.get_data() == value:
										return True
							UpperCAmelCase_  :				Union[str, Any]      =      current.get_next()
				return False





	def __iter__(   self      :				int		)		->    Tuple:
				return LinkedListIterator(self.head		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]		)		->    Optional[int]:
				if self.head:
							return self.head.get_data()
				return None





	def   _SCREAMING_SNAKE_CASE   (   self      :				str		)		->    Optional[Any]:
				if self.tail:
							return self.tail.get_data()
				return None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[int]			,			lowerCAmelCase_      :				Node		)		->    None:
				if self.head is None:
							UpperCAmelCase_  :				Optional[int]      =      node
							UpperCAmelCase_  :				Union[str, Any]      =      node
				else:
							self.insert_before_node(self.head			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple			,			lowerCAmelCase_      :				Node		)		->    None:
				if self.head is None:
							self.set_head(lowerCAmelCase_		)
				else:
							self.insert_after_node(self.tail			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				int			,			lowerCAmelCase_      :				int		)		->    None:
				UpperCAmelCase_  :				Optional[Any]      =      Node(lowerCAmelCase_		)
				if self.head is None:
							self.set_head(lowerCAmelCase_		)
				else:
							self.set_tail(lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]			,			lowerCAmelCase_      :				Node			,			lowerCAmelCase_      :				Node		)		->    None:
				UpperCAmelCase_  :				Any      =      node
				UpperCAmelCase_  :				Tuple      =      node.previous

				if node.get_previous() is None:
							UpperCAmelCase_  :				List[Any]      =      node_to_insert
				else:
							UpperCAmelCase_  :				Dict      =      node_to_insert

				UpperCAmelCase_  :				Dict      =      node_to_insert





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[int]			,			lowerCAmelCase_      :				Node			,			lowerCAmelCase_      :				Node		)		->    None:
				UpperCAmelCase_  :				Dict      =      node
				UpperCAmelCase_  :				int      =      node.next

				if node.get_next() is None:
							UpperCAmelCase_  :				int      =      node_to_insert
				else:
							UpperCAmelCase_  :				Optional[Any]      =      node_to_insert

				UpperCAmelCase_  :				Any      =      node_to_insert





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int		)		->    None:
				UpperCAmelCase_  :				int      =      1
				UpperCAmelCase_  :				List[str]      =      Node(lowerCAmelCase_		)
				UpperCAmelCase_  :				Optional[Any]      =      self.head
				while node:
							if current_position == position:
										self.insert_before_node(lowerCAmelCase_			,			lowerCAmelCase_		)
										return
							current_position += 1
							UpperCAmelCase_  :				Optional[Any]      =      node.next
				self.insert_after_node(self.tail			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[Any]			,			lowerCAmelCase_      :				int		)		->    Node:
				UpperCAmelCase_  :				List[Any]      =      self.head
				while node:
							if node.get_data() == item:
										return node
							UpperCAmelCase_  :				Optional[int]      =      node.get_next()
				raise Exception("Node not found"		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				str			,			lowerCAmelCase_      :				List[str]		)		->    Union[str, Any]:
				if (node := self.get_node(lowerCAmelCase_		)) is not None:
							if node == self.head:
										UpperCAmelCase_  :				Tuple      =      self.head.get_next()

							if node == self.tail:
										UpperCAmelCase_  :				Optional[int]      =      self.tail.get_previous()

							self.remove_node_pointers(lowerCAmelCase_		)





	@staticmethod
	def   _SCREAMING_SNAKE_CASE   (   lowerCAmelCase_      :				Node		)		->    None:
				if node.get_next():
							UpperCAmelCase_  :				int      =      node.previous

				if node.get_previous():
							UpperCAmelCase_  :				Optional[Any]      =      node.next

				UpperCAmelCase_  :				Optional[int]      =      None
				UpperCAmelCase_  :				Dict      =      None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]		)		->    str:
				return self.head is None





def        snake_case   (     ):
			pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()



