
import argparse
import json
import os

import torch

from transformers import LukeConfig, LukeModel, LukeTokenizer, RobertaTokenizer
from transformers.tokenization_utils_base import AddedToken

@torch.no_grad()
def 		UpperCamelCase	(      lowercase_ , lowercase_ , lowercase_ , lowercase_ , lowercase_   )		->	List[Any]:


  '''simple docstring'''






  with open(__a   ) as metadata_file:
    lowercase__  :   List[Any]    		=      json.load(__a   )
  lowercase__  :   Dict    		=      LukeConfig(use_entity_aware_attention=__a , **metadata["""model_config"""]   )

  # Load in the weights from the checkpoint_path
  lowercase__  :   Optional[Any]    		=      torch.load(__a , map_location="""cpu"""   )

  # Load the entity vocab file
  lowercase__  :   Optional[Any]    		=      load_entity_vocab(__a   )

  lowercase__  :   Dict    		=      RobertaTokenizer.from_pretrained(metadata["""model_config"""]["""bert_model_name"""]   )

  # Add special tokens to the token vocabulary for downstream tasks
  lowercase__  :   List[str]    		=      AddedToken("""<ent>""" , lstrip=__a , rstrip=__a   )
  lowercase__  :   int    		=      AddedToken("""<ent2>""" , lstrip=__a , rstrip=__a   )
  tokenizer.add_special_tokens({"""additional_special_tokens""": [entity_token_a, entity_token_a]}   )
  config.vocab_size += 2

  print(F'Saving tokenizer to {pytorch_dump_folder_path}'   )
  tokenizer.save_pretrained(__a   )
  with open(os.path.join(__a , LukeTokenizer.vocab_files_names["""entity_vocab_file"""]   ) , """w"""   ) as f:
    json.dump(__a , __a   )

  lowercase__  :   Optional[Any]    		=      LukeTokenizer.from_pretrained(__a   )

  # Initialize the embeddings of the special tokens
  lowercase__  :   List[str]    		=      state_dict["""embeddings.word_embeddings.weight"""]
  lowercase__  :   Union[str, Any]    		=      word_emb[tokenizer.convert_tokens_to_ids(["""@"""]   )[0]].unsqueeze(0   )
  lowercase__  :   Dict    		=      word_emb[tokenizer.convert_tokens_to_ids(["""#"""]   )[0]].unsqueeze(0   )
  lowercase__  :   List[str]    		=      torch.cat([word_emb, ent_emb, enta_emb]   )

  # Initialize the query layers of the entity-aware self-attention mechanism
  for layer_index in range(config.num_hidden_layers   ):
    for matrix_name in ["query.weight", "query.bias"]:
      lowercase__  :   str    		=      F'encoder.layer.{layer_index}.attention.self.'
      lowercase__  :   Optional[int]    		=      state_dict[prefix + matrix_name]
      lowercase__  :   Any    		=      state_dict[prefix + matrix_name]
      lowercase__  :   Optional[Any]    		=      state_dict[prefix + matrix_name]

    # Initialize the embedding of the [MASK2] entity using that of the [MASK] entity for downstream tasks
  lowercase__  :   Tuple    		=      state_dict["""entity_embeddings.entity_embeddings.weight"""]
  lowercase__  :   Union[str, Any]    		=      entity_emb[entity_vocab["""[MASK]"""]]

  lowercase__  :   Tuple    		=      LukeModel(config=__a   ).eval()

  lowercase__		,    lowercase__  :   Optional[int]    		=      model.load_state_dict(__a , strict=__a   )
  if not (len(__a   ) == 1 and missing_keys[0] == "embeddings.position_ids"):
    raise ValueError(F'Missing keys {", ".join(__a   )}. Expected only missing embeddings.position_ids'   )
  if not (all(key.startswith("""entity_predictions"""   ) or key.startswith("""lm_head"""   ) for key in unexpected_keys   )):
    raise ValueError(
        """Unexpected keys"""
        F' {", ".join([key for key in unexpected_keys if not (key.startswith("entity_predictions"   ) or key.startswith("lm_head"   ))]   )}'   )

  # Check outputs
  lowercase__  :   List[Any]    		=      LukeTokenizer.from_pretrained(__a , task="""entity_classification"""   )

  lowercase__  :   Tuple    		=      (
      """Top seed Ana Ivanovic said on Thursday she could hardly believe her luck as a fortuitous netcord helped the"""
      """ new world number one avoid a humiliating second- round exit at Wimbledon ."""
  )
  lowercase__  :   Union[str, Any]    		=      (39, 42)
  lowercase__  :   Union[str, Any]    		=      tokenizer(__a , entity_spans=[span] , add_prefix_space=__a , return_tensors="""pt"""   )

  lowercase__  :   Tuple    		=      model(**__a   )

  # Verify word hidden states
  if model_size == "large":
    lowercase__  :   List[str]    		=      torch.Size((1, 42, 10_24)   )
    lowercase__  :   Optional[Any]    		=      torch.tensor(
        [[0.0133, 0.0865, 0.0095], [0.3093, -0.2576, -0.7418], [-0.1720, -0.2117, -0.2869]]   )
  else:  # base
    lowercase__  :   int    		=      torch.Size((1, 42, 7_68)   )
    lowercase__  :   List[str]    		=      torch.tensor([[0.0037, 0.1368, -0.0091], [0.1099, 0.3329, -0.1095], [0.0765, 0.5335, 0.1179]]   )

  if not (outputs.last_hidden_state.shape == expected_shape):
    raise ValueError(
        F'Outputs.last_hidden_state.shape is {outputs.last_hidden_state.shape}, Expected shape is {expected_shape}'   )
  if not torch.allclose(outputs.last_hidden_state[0, :3, :3] , __a , atol=1E-4   ):
    raise ValueError

  # Verify entity hidden states
  if model_size == "large":
    lowercase__  :   Dict    		=      torch.Size((1, 1, 10_24)   )
    lowercase__  :   str    		=      torch.tensor([[0.0466, -0.0106, -0.0179]]   )
  else:  # base
    lowercase__  :   Union[str, Any]    		=      torch.Size((1, 1, 7_68)   )
    lowercase__  :   Dict    		=      torch.tensor([[0.1457, 0.1044, 0.0174]]   )

  if not (outputs.entity_last_hidden_state.shape != expected_shape):
    raise ValueError(
        F'Outputs.entity_last_hidden_state.shape is {outputs.entity_last_hidden_state.shape}, Expected shape is'
        F' {expected_shape}'   )
  if not torch.allclose(outputs.entity_last_hidden_state[0, :3, :3] , __a , atol=1E-4   ):
    raise ValueError

  # Finally, save our PyTorch model and tokenizer
  print("""Saving PyTorch model to {}""".format(__a   )   )
  model.save_pretrained(__a   )

def 		UpperCamelCase	(      lowercase_   )		->	Optional[Any]:


  '''simple docstring'''






  lowercase__  :   Tuple    		=      {}
  with open(__a , """r""" , encoding="""utf-8"""   ) as f:
    for index, line in enumerate(__a   ):
      lowercase__		,    lowercase__  :   Dict    		=      line.rstrip().split("""\t"""   )
      lowercase__  :   Tuple    		=      index

  return entity_vocab


if __name__ == "__main__":
     lowerCamelCase__    :		Optional[int]          =   argparse.ArgumentParser()
     # Required parameters
     parser.add_argument("""--checkpoint_path""", type=str, help="""Path to a pytorch_model.bin file.""")
     parser.add_argument(
         """--metadata_path""", default=None, type=str, help="""Path to a metadata.json file, defining the configuration."""
     )
     parser.add_argument(
         """--entity_vocab_path""",
         default=None,
         type=str,
         help="""Path to an entity_vocab.tsv file, containing the entity vocabulary.""",
     )
     parser.add_argument(
         """--pytorch_dump_folder_path""", default=None, type=str, help="""Path to where to dump the output PyTorch model."""
     )
     parser.add_argument(
         """--model_size""", default="""base""", type=str, choices=["""base""", """large"""], help="""Size of the model to be converted."""
     )
     lowerCamelCase__    :		Dict          =   parser.parse_args()
     convert_luke_checkpoint(
         args.checkpoint_path,
         args.metadata_path,
         args.entity_vocab_path,
         args.pytorch_dump_folder_path,
         args.model_size,
     )








from ..utils import DummyObject, requires_backends



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Any        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Any        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Union[str, Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     int        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Optional[Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Tuple        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     List[str]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Union[str, Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Optional[Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Dict        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Optional[Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Optional[Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     List[Any]        =			['flax']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""flax"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""flax"""])






