
import argparse
import os

import numpy as np
import tensorflow as tf
import torch

from transformers import BertModel


def 						UpperCAmelCase			(	a_		,   a_		,   a_						)		->	List[str]:







				"""simple docstring"""



				__A   			= ("dense.weight", "attention.self.query", "attention.self.key", "attention.self.value")

				__A   			= (
				    ("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(__lowerCAmelCase						):
								os.makedirs(__lowerCAmelCase						)

				__A   			= model.state_dict()

				def to_tf_var_name(a_						):
								for patt, repl in iter(__lowerCAmelCase						):
												__A   			= name.replace(__lowerCAmelCase		,   __lowerCAmelCase						)
								return F'''bert/{name}'''

				def create_tf_var(a_		,   a_		,   a_						):
								__A   			= tf.dtypes.as_dtype(tensor.dtype						)
								__A   			= tf.get_variable(dtype=__lowerCAmelCase		,   shape=tensor.shape		,   name=__lowerCAmelCase		,   initializer=tf.zeros_initializer()						)
								session.run(tf.variables_initializer([tf_var]						)						)
								session.run(__lowerCAmelCase						)
								return tf_var

				tf.reset_default_graph()
				with tf.Session() as session:
								for var_name in state_dict:
												__A   			= to_tf_var_name(__lowerCAmelCase						)
												__A   			= state_dict[var_name].numpy()
												if any(x in var_name for x in tensors_to_transpose						):
																__A   			= torch_tensor.T
												__A   			= create_tf_var(tensor=__lowerCAmelCase		,   name=__lowerCAmelCase		,   session=__lowerCAmelCase						)
												tf.keras.backend.set_value(__lowerCAmelCase		,   __lowerCAmelCase						)
												__A   			= session.run(__lowerCAmelCase						)
												print(F'''Successfully created {tf_name}: {np.allclose(__lowerCAmelCase		,   __lowerCAmelCase						)}'''						)

								__A   			= tf.train.Saver(tf.trainable_variables()						)
								saver.save(__lowerCAmelCase		,   os.path.join(__lowerCAmelCase		,   model_name.replace("-"		,   "_"						) + ".ckpt"						)						)


def 						UpperCAmelCase			(	a_=None						)		->	Any:







				"""simple docstring"""



				__A   			= argparse.ArgumentParser()
				parser.add_argument("--model_name"		,   type=__lowerCAmelCase		,   required=__lowerCAmelCase		,   help="model name e.g. bert-base-uncased"						)
				parser.add_argument(
				    "--cache_dir"		,   type=__lowerCAmelCase		,   default=__lowerCAmelCase		,   required=__lowerCAmelCase		,   help="Directory containing pytorch model"						)
				parser.add_argument("--pytorch_model_path"		,   type=__lowerCAmelCase		,   required=__lowerCAmelCase		,   help="/path/to/<pytorch-model-name>.bin"						)
				parser.add_argument("--tf_cache_dir"		,   type=__lowerCAmelCase		,   required=__lowerCAmelCase		,   help="Directory in which to save tensorflow model"						)
				__A   			= parser.parse_args(__lowerCAmelCase						)

				__A   			= 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=__lowerCAmelCase		,   ckpt_dir=args.tf_cache_dir		,   model_name=args.model_name						)


if __name__ == "__main__":
					main()








class __lowerCamelCase :





	"""simple docstring"""






	def __init__(							self       ,    UpperCAmelCase = ""       ,    UpperCAmelCase = False    ):
							"""simple docstring"""







							_UpperCAmelCase									=			{}

							# A node will be a leaf if the tree contains its word
							_UpperCAmelCase									=			is_leaf

							_UpperCAmelCase									=			prefix

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			0
							for q, w in zip(self.prefix       ,    UpperCAmelCase    ):
													if q != w:
																			break

													x += 1

							return self.prefix[:x], self.prefix[x:], word[x:]

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							for word in words:
													self.insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							if self.prefix == word:
													_UpperCAmelCase									=			True

							# Case 2: The node has no edges that have a prefix to the word
							# Solution: We create an edge from the current node to a new one
							# containing the word
							elif word[0] not in self.nodes:
													_UpperCAmelCase									=			RadixNode(prefix=UpperCAmelCase       ,    is_leaf=UpperCAmelCase    )

							else:
													_UpperCAmelCase									=			self.nodes[word[0]]
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )

													# Case 3: The node prefix is equal to the matching
													# Solution: We insert remaining word on the next node
													if remaining_prefix == "":
																			self.nodes[matching_string[0]].insert(UpperCAmelCase    )

													# Case 4: The word is greater equal to the matching
													# Solution: Create a node in between both nodes, change
													# prefixes and add the new node for the remaining word
													else:
																			_UpperCAmelCase									=			remaining_prefix

																			_UpperCAmelCase									=			self.nodes[matching_string[0]]
																			_UpperCAmelCase									=			RadixNode(UpperCAmelCase       ,    UpperCAmelCase    )
																			_UpperCAmelCase									=			aux_node

																			if remaining_word == "":
																									_UpperCAmelCase									=			True
																			else:
																									self.nodes[matching_string[0]].insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.nodes.get(word[0]       ,    UpperCAmelCase    )
							if not incoming_node:
													return False
							else:
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																			return False
													# This applies when the word and the prefix are equal
													elif remaining_word == "":
																			return incoming_node.is_leaf
													# We have word remaining so we check the next node
													else:
																			return incoming_node.find(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.nodes.get(word[0]       ,    UpperCAmelCase    )
							if not incoming_node:
													return False
							else:
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																			return False
													# We have word remaining so we check the next node
													elif remaining_word != "":
																			return incoming_node.delete(UpperCAmelCase    )
													else:
																			# If it is not a leaf, we don't have to delete
																			if not incoming_node.is_leaf:
																									return False
																			else:
																									# We delete the nodes if no edges go from it
																									if len(incoming_node.nodes    ) == 0:
																															del self.nodes[word[0]]
																															# We merge the current node with its only child
																															if len(self.nodes    ) == 1 and not self.is_leaf:
																																					_UpperCAmelCase									=			list(self.nodes.values()    )[0]
																																					_UpperCAmelCase									=			merging_node.is_leaf
																																					self.prefix += merging_node.prefix
																																					_UpperCAmelCase									=			merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																									elif len(incoming_node.nodes    ) > 1:
																															_UpperCAmelCase									=			False
																									# If there is 1 edge, we merge it with its child
																									else:
																															_UpperCAmelCase									=			list(incoming_node.nodes.values()    )[0]
																															_UpperCAmelCase									=			merging_node.is_leaf
																															incoming_node.prefix += merging_node.prefix
																															_UpperCAmelCase									=			merging_node.nodes

																									return True

	def        UpperCamelCase    (							self       ,    UpperCAmelCase = 0    ):
							"""simple docstring"""







							if self.prefix != "":
													print('-' * height       ,    self.prefix       ,    '  (leaf)' if self.is_leaf else ''    )

							for value in self.nodes.values():
													value.print_tree(height + 1    )



def __A    (      )->  bool:





						"""simple docstring"""



						_UpperCAmelCase									=			'banana bananas bandana band apple all beast'.split()
						_UpperCAmelCase									=			RadixNode()
						root.insert_many(__lowerCAmelCase	)

						assert all(root.find(__lowerCAmelCase	) for word in words	)
						assert not root.find('bandanas'	)
						assert not root.find('apps'	)
						root.delete('all'	)
						assert not root.find('all'	)
						root.delete('banana'	)
						assert not root.find('banana'	)
						assert root.find('bananas'	)

						return True


def __A    (      )->  None:





						"""simple docstring"""



						assert test_trie()


def __A    (      )->  None:





						"""simple docstring"""



						_UpperCAmelCase									=			RadixNode()
						_UpperCAmelCase									=			'banana bananas bandanas bandana band apple all beast'.split()
						root.insert_many(__lowerCAmelCase	)

						print('Words:' ,		__lowerCAmelCase	)
						print('Tree:'	)
						root.print_tree()


if __name__ == "__main__":
		main()
