





import argparse

import torch

from transformers import YosoConfig, YosoForMaskedLM





def      lowerCAmelCase_ (       __a		)     ->		Union[str, Any]:







  """simple docstring"""





  if "model" in orig_key:
    lowerCamelCase__:      Tuple			  =orig_key.replace("model."	,    ""		)
  if "norm1" in orig_key:
    lowerCamelCase__:      Any			  =orig_key.replace("norm1"	,    "attention.output.LayerNorm"		)
  if "norm2" in orig_key:
    lowerCamelCase__:      Optional[int]			  =orig_key.replace("norm2"	,    "output.LayerNorm"		)
  if "norm" in orig_key:
    lowerCamelCase__:      Dict			  =orig_key.replace("norm"	,    "LayerNorm"		)
  if "transformer" in orig_key:
    lowerCamelCase__:      int			  =orig_key.split("."		)[0].split("_"		)[-1]
    lowerCamelCase__:      Dict			  =orig_key.replace(F"""transformer_{layer_num}"""	,    F"""encoder.layer.{layer_num}"""		)
  if "mha.attn" in orig_key:
    lowerCamelCase__:      List[Any]			  =orig_key.replace("mha.attn"	,    "attention.self"		)
  if "mha" in orig_key:
    lowerCamelCase__:      str			  =orig_key.replace("mha"	,    "attention"		)
  if "W_q" in orig_key:
    lowerCamelCase__:      int			  =orig_key.replace("W_q"	,    "self.query"		)
  if "W_k" in orig_key:
    lowerCamelCase__:      Union[str, Any]			  =orig_key.replace("W_k"	,    "self.key"		)
  if "W_v" in orig_key:
    lowerCamelCase__:      Optional[Any]			  =orig_key.replace("W_v"	,    "self.value"		)
  if "ff1" in orig_key:
    lowerCamelCase__:      Union[str, Any]			  =orig_key.replace("ff1"	,    "intermediate.dense"		)
  if "ff2" in orig_key:
    lowerCamelCase__:      Tuple			  =orig_key.replace("ff2"	,    "output.dense"		)
  if "ff" in orig_key:
    lowerCamelCase__:      Union[str, Any]			  =orig_key.replace("ff"	,    "output.dense"		)
  if "mlm_class" in orig_key:
    lowerCamelCase__:      Optional[int]			  =orig_key.replace("mlm.mlm_class"	,    "cls.predictions.decoder"		)
  if "mlm" in orig_key:
    lowerCamelCase__:      Any			  =orig_key.replace("mlm"	,    "cls.predictions.transform"		)
  if "cls" not in orig_key:
    lowerCamelCase__:      Dict			  ="yoso." + orig_key

  return orig_key





def      lowerCAmelCase_ (       __a	,    __a		)     ->		Optional[int]:







  """simple docstring"""





  for key in orig_state_dict.copy().keys():
    lowerCamelCase__:      Dict			  =orig_state_dict.pop(__a		)

    if ("pooler" in key) or ("sen_class" in key):
      continue
    else:
      lowerCamelCase__:      Union[str, Any]			  =val

  lowerCamelCase__:      Optional[Any]			  =orig_state_dict["cls.predictions.decoder.bias"]
  lowerCamelCase__:      Dict			  =torch.arange(__a		).expand((1, -1)		) + 2

  return orig_state_dict





def      lowerCAmelCase_ (       __a	,    __a	,    __a		)     ->		List[Any]:







  """simple docstring"""





  lowerCamelCase__:      int			  =torch.load(__a	,    map_location="cpu"		)["model_state_dict"]
  lowerCamelCase__:      Any			  =YosoConfig.from_json_file(__a		)
  lowerCamelCase__:      Optional[int]			  =YosoForMaskedLM(__a		)

  lowerCamelCase__:      Dict			  =convert_checkpoint_helper(config.max_position_embeddings	,    __a		)

  print(model.load_state_dict(__a		)		)
  model.eval()
  model.save_pretrained(__a		)

  print(F"""Checkpoint successfuly converted. Model saved at {pytorch_dump_path}"""		)


if __name__ == "__main__":
     __A									=				argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         "--pytorch_model_path", default=None, type=str, required=True, help="Path to YOSO pytorch checkpoint."
     )
     parser.add_argument(
         "--config_file",
         default=None,
         type=str,
         required=True,
         help="The json file for YOSO model config.",
     )
     parser.add_argument(
         "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
     )
     __A									=				parser.parse_args()
     convert_yoso_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)





"""simple docstring"""






import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
							import ctypes
							import msvcrt  # noqa





							class      lowerCamelCase__   (     ctypes.Structure				):







												"""simple docstring"""


												__a	       =							[("""size""", ctypes.c_int), ("""visible""", ctypes.c_byte)]
def      lowerCamelCase       (     )		->       Optional[int]:

							'''simple docstring'''



							if os.name == "nt":
														__UpperCAmelCase   :						Dict      							=					CursorInfo()
														__UpperCAmelCase   :						Any      							=					ctypes.windll.kernelaa.GetStdHandle(-1_1							)
														ctypes.windll.kernelaa.GetConsoleCursorInfo(_UpperCamelCase       ,			ctypes.byref(_UpperCamelCase							)							)
														__UpperCAmelCase   :						Tuple      							=					False
														ctypes.windll.kernelaa.SetConsoleCursorInfo(_UpperCamelCase       ,			ctypes.byref(_UpperCamelCase							)							)
							elif os.name == "posix":
														sys.stdout.write("""\033[?25l"""							)
														sys.stdout.flush()
def      lowerCamelCase       (     )		->       Optional[int]:

							'''simple docstring'''



							if os.name == "nt":
														__UpperCAmelCase   :						str      							=					CursorInfo()
														__UpperCAmelCase   :						int      							=					ctypes.windll.kernelaa.GetStdHandle(-1_1							)
														ctypes.windll.kernelaa.GetConsoleCursorInfo(_UpperCamelCase       ,			ctypes.byref(_UpperCamelCase							)							)
														__UpperCAmelCase   :						Union[str, Any]      							=					True
														ctypes.windll.kernelaa.SetConsoleCursorInfo(_UpperCamelCase       ,			ctypes.byref(_UpperCamelCase							)							)
							elif os.name == "posix":
														sys.stdout.write("""\033[?25h"""							)
														sys.stdout.flush()
@contextmanager
def      lowerCamelCase       (     )		->       str:

							'''simple docstring'''



							try:
														hide_cursor()
														yield
							finally:
														show_cursor()
