'''simple docstring'''

import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


_A			:      str					      =				{
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

_A			:      Optional[int]					      =				logging.WARNING







def      UpperCamelCase_						(					)					->     List[Any]:






 '''simple docstring'''

 __lowerCAmelCase											=						os.getenv("""DATASETS_VERBOSITY"""						,		snake_case_      )
 if env_level_str:
  if env_level_str in log_levels:
   return log_levels[env_level_str]
  else:
   logging.getLogger().warning(
       f"""Unknown option DATASETS_VERBOSITY={env_level_str}, """
       f"""has to be one of: { ", ".join(log_levels.keys()      ) }"""      )
 return _default_log_level







def      UpperCamelCase_						(					)					->     str:






 '''simple docstring'''

 return __name__.split("""."""      )[0]







def      UpperCamelCase_						(					)					->     logging.Logger:






 '''simple docstring'''

 return logging.getLogger(_get_library_name()      )







def      UpperCamelCase_						(					)					->     None:






 '''simple docstring'''

 __lowerCAmelCase											=						_get_library_root_logger()
 library_root_logger.setLevel(_get_default_logging_level()      )







def      UpperCamelCase_						(					)					->     None:






 '''simple docstring'''

 __lowerCAmelCase											=						_get_library_root_logger()
 library_root_logger.setLevel(logging.NOTSET      )







def      UpperCamelCase_						(					snake_case_       :       Optional[str] = None      )					->     logging.Logger:






 '''simple docstring'''

 if name is None:
  __lowerCAmelCase											=						_get_library_name()
 return logging.getLogger(snake_case_      )







def      UpperCamelCase_						(					)					->     int:






 '''simple docstring'''

 return _get_library_root_logger().getEffectiveLevel()







def      UpperCamelCase_						(					snake_case_       :       int      )					->     None:






 '''simple docstring'''

 _get_library_root_logger().setLevel(snake_case_      )







def      UpperCamelCase_						(					)					->     int:






 '''simple docstring'''

 return set_verbosity(snake_case_      )







def      UpperCamelCase_						(					)					->     List[str]:






 '''simple docstring'''

 return set_verbosity(snake_case_      )







def      UpperCamelCase_						(					)					->     List[str]:






 '''simple docstring'''

 return set_verbosity(snake_case_      )







def      UpperCamelCase_						(					)					->     int:






 '''simple docstring'''

 return set_verbosity(snake_case_      )







def      UpperCamelCase_						(					)					->     None:






 '''simple docstring'''

 __lowerCAmelCase											=						False







def      UpperCamelCase_						(					)					->     None:






 '''simple docstring'''

 __lowerCAmelCase											=						True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()







class 				_lowercase     :


 '''simple docstring'''






 def __init__(      self   :	Union[str, Any]      ,       *SCREAMING_SNAKE_CASE__   :	Optional[int]      ,       **SCREAMING_SNAKE_CASE__   :	Optional[int]							)  ->    int:  # pylint: disable=unused-argument
  __lowerCAmelCase											=						args[0] if args else None
 def __iter__(      self   :	Optional[int]							)  ->    Optional[Any]:
  return iter(self._iterator							)
 def __getattr__(      self   :	List[Any]      ,       SCREAMING_SNAKE_CASE__   :	Optional[Any]							)  ->    str:

  def empty_fn(*SCREAMING_SNAKE_CASE__   :	Optional[Any]      ,       **SCREAMING_SNAKE_CASE__   :	List[str]							):  # pylint: disable=unused-argument
   return

  return empty_fn
 def __enter__(      self   :	List[Any]							)  ->    Tuple:
  return self





 def __exit__(      self   :	List[Any]      ,       SCREAMING_SNAKE_CASE__   :	Optional[int]      ,       SCREAMING_SNAKE_CASE__   :	List[str]      ,       SCREAMING_SNAKE_CASE__   :	Tuple							)  ->    Any:
  return







_A			:      Any					      =				True







class 				_lowercase     :


 '''simple docstring'''






 def __call__(      self   :	Optional[int]      ,       *SCREAMING_SNAKE_CASE__   :	Optional[Any]      ,       SCREAMING_SNAKE_CASE__   :	Optional[int]=False      ,       **SCREAMING_SNAKE_CASE__   :	Tuple							)  ->    Tuple:
  if _tqdm_active and not disable:
   return tqdm_lib.tqdm(*SCREAMING_SNAKE_CASE__      ,       **SCREAMING_SNAKE_CASE__							)
  else:
   return EmptyTqdm(*SCREAMING_SNAKE_CASE__      ,       **SCREAMING_SNAKE_CASE__							)
 def a					(      self   :	List[str]      ,       *SCREAMING_SNAKE_CASE__   :	int      ,       **SCREAMING_SNAKE_CASE__   :	List[str]							)  ->    Dict:
  __lowerCAmelCase											=						None
  if _tqdm_active:
   return tqdm_lib.tqdm.set_lock(*SCREAMING_SNAKE_CASE__      ,       **SCREAMING_SNAKE_CASE__							)





 def a					(      self   :	Dict							)  ->    List[str]:
  if _tqdm_active:
   return tqdm_lib.tqdm.get_lock()







_A			:      Optional[Any]					      =				_tqdm_cls()







def      UpperCamelCase_						(					)					->     bool:






 '''simple docstring'''

 global _tqdm_active
 return bool(_tqdm_active      )







def      UpperCamelCase_						(					)					->     List[str]:






 '''simple docstring'''

 global _tqdm_active
 __lowerCAmelCase											=						True







def      UpperCamelCase_						(					)					->     int:






 '''simple docstring'''

 global _tqdm_active
 __lowerCAmelCase											=						False







'''simple docstring'''

import argparse

import torch

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


logging.set_verbosity_info()
_A			:      str					      =				logging.get_logger(__name__)

_A			:      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      UpperCamelCase_						(					snake_case_       :       Tuple      )					->     Optional[int]:






 '''simple docstring'''

 if k == "embeddings.weight":
  return "shared.weight"

 for parlai_name, hf_name in PATTERNS:
  __lowerCAmelCase											=						k.replace(snake_case_						,		snake_case_      )

 if k.startswith("""encoder"""      ):
  __lowerCAmelCase											=						k.replace(""".attn"""						,		""".self_attn"""      )
  __lowerCAmelCase											=						k.replace("""norm1"""						,		"""self_attn_layer_norm"""      )
  __lowerCAmelCase											=						k.replace("""norm2"""						,		"""final_layer_norm"""      )
 elif k.startswith("""decoder"""      ):
  __lowerCAmelCase											=						k.replace("""norm1"""						,		"""self_attn_layer_norm"""      )
  __lowerCAmelCase											=						k.replace("""norm2"""						,		"""encoder_attn_layer_norm"""      )
  __lowerCAmelCase											=						k.replace("""norm3"""						,		"""final_layer_norm"""      )
 return k







def      UpperCamelCase_						(					snake_case_       :       List[str]      )					->     Dict:






 '''simple docstring'''

 __lowerCAmelCase											=						[
     """model.encoder.layernorm_embedding.weight""",
     """model.encoder.layernorm_embedding.bias""",
     """model.decoder.layernorm_embedding.weight""",
     """model.decoder.layernorm_embedding.bias""",
 ]
 for k in keys:
  __lowerCAmelCase											=						sd.pop(snake_case_      )
  __lowerCAmelCase											=						k.replace("""layernorm_embedding"""						,		"""layer_norm"""      )
  assert new_k not in sd
  __lowerCAmelCase											=						v


_A			:      int					      =				['''START''']







@torch.no_grad()
def      UpperCamelCase_						(					snake_case_       :       List[Any]						,		snake_case_       :       Any						,		snake_case_       :       Optional[int]      )					->     Optional[Any]:






 '''simple docstring'''

 __lowerCAmelCase											=						torch.load(snake_case_						,		map_location="""cpu"""      )
 __lowerCAmelCase											=						model["""model"""]
 __lowerCAmelCase											=						BlenderbotConfig.from_json_file(snake_case_      )
 __lowerCAmelCase											=						BlenderbotForConditionalGeneration(snake_case_      )
 __lowerCAmelCase											=						m.model.state_dict().keys()
 __lowerCAmelCase											=						[]
 __lowerCAmelCase											=						{}
 for k, v in sd.items():
  if k in IGNORE_KEYS:
   continue

  __lowerCAmelCase											=						rename_state_dict_key(snake_case_      )
  if new_k not in valid_keys:
   failures.append([k, new_k]      )
  else:
   __lowerCAmelCase											=						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__":
 _A			:      Optional[Any]					      =				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'''
 )
 _A			:      Tuple					      =				parser.parse_args()
 convert_parlai_checkpoint(args.src_path, args.save_dir, args.hf_config_json)






