





class 	UpperCamelCase_							:


							def __init__(				self     :Optional[int]				,					__A     :str = ""				,					__A     :bool = False		) -> None:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   {}

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

									SCREAMING_SNAKE_CASE__								=   prefix


							def   _snake_case	(				self     :Optional[int]				,					__A     :str		) -> tuple[str, str, str]:



									"""simple docstring"""



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

											x += 1

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


							def   _snake_case	(				self     :Any				,					__A     :list[str]		) -> None:



									"""simple docstring"""



									for word in words:
											self.insert(__A		)


							def   _snake_case	(				self     :Tuple				,					__A     :str		) -> None:



									"""simple docstring"""



									if self.prefix == word:
											SCREAMING_SNAKE_CASE__								=   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:
											SCREAMING_SNAKE_CASE__								=   RadixNode(prefix=__A				,					is_leaf=__A		)

									else:
											SCREAMING_SNAKE_CASE__								=   self.nodes[word[0]]
											SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   incoming_node.match(
											    __A		)

											# 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(__A		)

											# 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:
													SCREAMING_SNAKE_CASE__								=   remaining_prefix

													SCREAMING_SNAKE_CASE__								=   self.nodes[matching_string[0]]
													SCREAMING_SNAKE_CASE__								=   RadixNode(__A				,					__A		)
													SCREAMING_SNAKE_CASE__								=   aux_node

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


							def   _snake_case	(				self     :Optional[int]				,					__A     :str		) -> bool:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   self.nodes.get(word[0]				,					__A		)
									if not incoming_node:
											return False
									else:
											SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   incoming_node.match(
											    __A		)
											# 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(__A		)


							def   _snake_case	(				self     :Optional[Any]				,					__A     :str		) -> bool:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   self.nodes.get(word[0]				,					__A		)
									if not incoming_node:
											return False
									else:
											SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   incoming_node.match(
											    __A		)
											# 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(__A		)
											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:
																			SCREAMING_SNAKE_CASE__								=   list(self.nodes.values()		)[0]
																			SCREAMING_SNAKE_CASE__								=   merging_node.is_leaf
																			self.prefix += merging_node.prefix
																			SCREAMING_SNAKE_CASE__								=   merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
															elif len(incoming_node.nodes		) > 1:
																	SCREAMING_SNAKE_CASE__								=   False
															# If there is 1 edge, we merge it with its child
															else:
																	SCREAMING_SNAKE_CASE__								=   list(incoming_node.nodes.values()		)[0]
																	SCREAMING_SNAKE_CASE__								=   merging_node.is_leaf
																	incoming_node.prefix += merging_node.prefix
																	SCREAMING_SNAKE_CASE__								=   merging_node.nodes

															return True


							def   _snake_case	(				self     :Optional[Any]				,					__A     :int = 0		) -> None:



									"""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 					SCREAMING_SNAKE_CASE__				(							):
		SCREAMING_SNAKE_CASE__								=   """banana bananas bandana band apple all beast""".split()
		SCREAMING_SNAKE_CASE__								=   RadixNode()
		root.insert_many(UpperCamelCase__     )

		assert all(root.find(UpperCamelCase__     ) 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 					SCREAMING_SNAKE_CASE__				(							):
		assert test_trie()






def 					SCREAMING_SNAKE_CASE__				(							):
		SCREAMING_SNAKE_CASE__								=   RadixNode()
		SCREAMING_SNAKE_CASE__								=   """banana bananas bandanas bandana band apple all beast""".split()
		root.insert_many(UpperCamelCase__     )

		print("""Words:"""       , UpperCamelCase__     )
		print("""Tree:"""     )
		root.print_tree()


if __name__ == "__main__":
	main()






'''simple docstring'''




import argparse

import torch

from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging


logging.set_verbosity_info()
lowercase__       : Tuple         =       logging.get_logger(__name__)

lowercase__       : str         =       [
    ['''attention''', '''attn'''],
    ['''encoder_attention''', '''encoder_attn'''],
    ['''q_lin''', '''q_proj'''],
    ['''k_lin''', '''k_proj'''],
    ['''v_lin''', '''v_proj'''],
    ['''out_lin''', '''out_proj'''],
    ['''norm_embeddings''', '''layernorm_embedding'''],
    ['''position_embeddings''', '''embed_positions'''],
    ['''embeddings''', '''embed_tokens'''],
    ['''ffn.lin''', '''fc'''],
]






def 			_lowerCAmelCase     (    __snake_case    :					List[Any]     )	->	Tuple:
     if k == "embeddings.weight":
          return "shared.weight"

     for parlai_name, hf_name in PATTERNS:
          __A		:					Optional[Any]						=			k.replace(__snake_case					,				__snake_case     )

     if k.startswith('encoder'     ):
          __A		:					Any						=			k.replace('.attn'					,				'.self_attn'     )
          __A		:					Any						=			k.replace('norm1'					,				'self_attn_layer_norm'     )
          __A		:					str						=			k.replace('norm2'					,				'final_layer_norm'     )
     elif k.startswith('decoder'     ):
          __A		:					Tuple						=			k.replace('norm1'					,				'self_attn_layer_norm'     )
          __A		:					str						=			k.replace('norm2'					,				'encoder_attn_layer_norm'     )
          __A		:					int						=			k.replace('norm3'					,				'final_layer_norm'     )
     return k






def 			_lowerCAmelCase     (    __snake_case    :					List[Any]     )	->	Dict:
     __A		:					Optional[int]						=			[
         'model.encoder.layernorm_embedding.weight',
         'model.encoder.layernorm_embedding.bias',
         'model.decoder.layernorm_embedding.weight',
         'model.decoder.layernorm_embedding.bias',
     ]
     for k in keys:
          __A		:					Tuple						=			sd.pop(__snake_case     )
          __A		:					Union[str, Any]						=			k.replace('layernorm_embedding'					,				'layer_norm'     )
          assert new_k not in sd
          __A		:					str						=			v


lowercase__       : Tuple         =       ['''START''']






@torch.no_grad()
def 			_lowerCAmelCase     (    __snake_case    :					Dict					,				__snake_case    :					Any					,				__snake_case    :					List[Any]     )	->	int:
     __A		:					List[str]						=			torch.load(__snake_case					,				map_location='cpu'     )
     __A		:					Tuple						=			model['model']
     __A		:					str						=			BlenderbotConfig.from_json_file(__snake_case     )
     __A		:					int						=			BlenderbotForConditionalGeneration(__snake_case     )
     __A		:					List[Any]						=			m.model.state_dict().keys()
     __A		:					Optional[int]						=			[]
     __A		:					Optional[int]						=			{}
     for k, v in sd.items():
          if k in IGNORE_KEYS:
               continue

          __A		:					Union[str, Any]						=			rename_state_dict_key(__snake_case     )
          if new_k not in valid_keys:
               failures.append([k, new_k]     )
          else:
               __A		:					Optional[Any]						=			v
     if cfg.normalize_before:  # Blenderbot-3B checkpoints. Rename layernorm_embedding -> layer_norm
          rename_layernorm_keys(__snake_case     )
     m.model.load_state_dict(__snake_case					,				strict=__snake_case     )
     m.half()
     m.save_pretrained(__snake_case     )


if __name__ == "__main__":
  lowercase__       : Dict         =       argparse.ArgumentParser()
  # Required parameters
  parser.add_argument('''--src_path''', type=str, help='''like blenderbot-model.bin''')
  parser.add_argument('''--save_dir''', default='''hf_blenderbot''', type=str, help='''Where to save converted model.''')
  parser.add_argument(
      '''--hf_config_json''', default='''blenderbot-3b-config.json''', type=str, help='''Path to config to use'''
  )
  lowercase__       : Optional[Any]         =       parser.parse_args()
  convert_parlai_checkpoint(args.src_path, args.save_dir, args.hf_config_json)