


import argparse
import os
import re

import packaging.version


_snake_case             =     '''examples/'''
_snake_case             =     {
    '''examples''': (re.compile(R'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(R'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(R'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), R'''\1version="VERSION",'''),
    '''doc''': (re.compile(R'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
_snake_case             =     {
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
_snake_case             =     '''README.md'''






def 		lowercase_(  SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  with open(SCREAMING_SNAKE_CASE_      ,						"r"      ,						encoding="utf-8"      ,						newline="\n"	) as f:
    lowerCamelCase :					int    =				f.read()
  lowerCamelCase    ,	lowerCamelCase :					Union[str, Any]    =				REPLACE_PATTERNS[pattern]
  lowerCamelCase :					Union[str, Any]    =				replace.replace("VERSION"      ,						SCREAMING_SNAKE_CASE_	)
  lowerCamelCase :					str    =				re_pattern.sub(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	)
  with open(SCREAMING_SNAKE_CASE_      ,						"w"      ,						encoding="utf-8"      ,						newline="\n"	) as f:
    f.write(SCREAMING_SNAKE_CASE_	)






def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  for folder, directories, fnames in os.walk(SCREAMING_SNAKE_CASE_	):
    # Removing some of the folders with non-actively maintained examples from the walk
    if "research_projects" in directories:
      directories.remove("research_projects"	)
    if "legacy" in directories:
      directories.remove("legacy"	)
    for fname in fnames:
      if fname.endswith(".py"	):
        update_version_in_file(os.path.join(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	)      ,						SCREAMING_SNAKE_CASE_      ,						pattern="examples"	)






def 		lowercase_(  SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_=False	):


  '''simple docstring'''

  for pattern, fname in REPLACE_FILES.items():
    update_version_in_file(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	)
  if not patch:
    update_version_in_examples(SCREAMING_SNAKE_CASE_	)






def 		lowercase_(  ):


  '''simple docstring'''

  lowerCamelCase :					Union[str, Any]    =				"🤗 Transformers currently provides the following architectures"
  lowerCamelCase :					List[Any]    =				"1. Want to contribute a new model?"
  with open(SCREAMING_SNAKE_CASE_      ,						"r"      ,						encoding="utf-8"      ,						newline="\n"	) as f:
    lowerCamelCase :					Any    =				f.readlines()

  # Find the start of the list.
  lowerCamelCase :					Union[str, Any]    =				0
  while not lines[start_index].startswith(_start_prompt	):
    start_index += 1
  start_index += 1

  lowerCamelCase :					List[str]    =				start_index
  # Update the lines in the model list.
  while not lines[index].startswith(_end_prompt	):
    if lines[index].startswith("1."	):
      lowerCamelCase :					Any    =				lines[index].replace(
          "https://huggingface.co/docs/diffusers/main/model_doc"      ,						"https://huggingface.co/docs/diffusers/model_doc"      ,						)
    index += 1

  with open(SCREAMING_SNAKE_CASE_      ,						"w"      ,						encoding="utf-8"      ,						newline="\n"	) as f:
    f.writelines(SCREAMING_SNAKE_CASE_	)






def 		lowercase_(  ):


  '''simple docstring'''

  with open(REPLACE_FILES["init"]      ,						"r"	) as f:
    lowerCamelCase :					Optional[Any]    =				f.read()
  lowerCamelCase :					Optional[int]    =				REPLACE_PATTERNS["init"][0].search(SCREAMING_SNAKE_CASE_	).groups()[0]
  return packaging.version.parse(SCREAMING_SNAKE_CASE_	)






def 		lowercase_(  SCREAMING_SNAKE_CASE_=False	):


  '''simple docstring'''

  lowerCamelCase :					Dict    =				get_version()
  if patch and default_version.is_devrelease:
    raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"	)
  if default_version.is_devrelease:
    lowerCamelCase :					Dict    =				default_version.base_version
  elif patch:
    lowerCamelCase :					List[Any]    =				f"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
  else:
    lowerCamelCase :					List[str]    =				f"""{default_version.major}.{default_version.minor + 1}.0"""

  # Now let's ask nicely if that's the right one.
  lowerCamelCase :					Any    =				input(f"""Which version are you releasing? [{default_version}]"""	)
  if len(SCREAMING_SNAKE_CASE_	) == 0:
    lowerCamelCase :					Union[str, Any]    =				default_version

  print(f"""Updating version to {version}."""	)
  global_version_update(SCREAMING_SNAKE_CASE_      ,						patch=SCREAMING_SNAKE_CASE_	)






def 		lowercase_(  ):


  '''simple docstring'''

  lowerCamelCase :					Optional[Any]    =				get_version()
  lowerCamelCase :					Union[str, Any]    =				f"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
  lowerCamelCase :					List[Any]    =				current_version.base_version

  # Check with the user we got that right.
  lowerCamelCase :					int    =				input(f"""Which version are we developing now? [{dev_version}]"""	)
  if len(SCREAMING_SNAKE_CASE_	) == 0:
    lowerCamelCase :					Union[str, Any]    =				dev_version

  print(f"""Updating version to {version}."""	)
  global_version_update(SCREAMING_SNAKE_CASE_	)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
   _snake_case             =     argparse.ArgumentParser()
   parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
   parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
   _snake_case             =     parser.parse_args()
   if not args.post_release:
      pre_release_work(patch=args.patch)
   elif args.patch:
      print('''Nothing to do after a patch :-)''')
   else:
      post_release_work()







import argparse

import torch

from transformers import YosoConfig, YosoForMaskedLM






def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  if "model" in orig_key:
    lowerCamelCase :					Dict    =				orig_key.replace("model."      ,						""	)
  if "norm1" in orig_key:
    lowerCamelCase :					Union[str, Any]    =				orig_key.replace("norm1"      ,						"attention.output.LayerNorm"	)
  if "norm2" in orig_key:
    lowerCamelCase :					Union[str, Any]    =				orig_key.replace("norm2"      ,						"output.LayerNorm"	)
  if "norm" in orig_key:
    lowerCamelCase :					Optional[Any]    =				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[str]    =				orig_key.replace("mha.attn"      ,						"attention.self"	)
  if "mha" in orig_key:
    lowerCamelCase :					List[Any]    =				orig_key.replace("mha"      ,						"attention"	)
  if "W_q" in orig_key:
    lowerCamelCase :					Optional[int]    =				orig_key.replace("W_q"      ,						"self.query"	)
  if "W_k" in orig_key:
    lowerCamelCase :					List[Any]    =				orig_key.replace("W_k"      ,						"self.key"	)
  if "W_v" in orig_key:
    lowerCamelCase :					Union[str, 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 :					Optional[int]    =				orig_key.replace("ff2"      ,						"output.dense"	)
  if "ff" in orig_key:
    lowerCamelCase :					Optional[int]    =				orig_key.replace("ff"      ,						"output.dense"	)
  if "mlm_class" in orig_key:
    lowerCamelCase :					Dict    =				orig_key.replace("mlm.mlm_class"      ,						"cls.predictions.decoder"	)
  if "mlm" in orig_key:
    lowerCamelCase :					List[Any]    =				orig_key.replace("mlm"      ,						"cls.predictions.transform"	)
  if "cls" not in orig_key:
    lowerCamelCase :					int    =				"yoso." + orig_key

  return orig_key






def 		lowercase_(  SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  for key in orig_state_dict.copy().keys():
    lowerCamelCase :					List[str]    =				orig_state_dict.pop(SCREAMING_SNAKE_CASE_	)

    if ("pooler" in key) or ("sen_class" in key):
      continue
    else:
      lowerCamelCase :					Dict    =				val

  lowerCamelCase :					Dict    =				orig_state_dict["cls.predictions.decoder.bias"]
  lowerCamelCase :					Dict    =				torch.arange(SCREAMING_SNAKE_CASE_	).expand((1, -1)	) + 2

  return orig_state_dict






def 		lowercase_(  SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  lowerCamelCase :					List[Any]    =				torch.load(SCREAMING_SNAKE_CASE_      ,						map_location="cpu"	)["model_state_dict"]
  lowerCamelCase :					List[str]    =				YosoConfig.from_json_file(SCREAMING_SNAKE_CASE_	)
  lowerCamelCase :					Any    =				YosoForMaskedLM(SCREAMING_SNAKE_CASE_	)

  lowerCamelCase :					List[Any]    =				convert_checkpoint_helper(config.max_position_embeddings      ,						SCREAMING_SNAKE_CASE_	)

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

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


if __name__ == "__main__":
   _snake_case             =     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.'''
   )
   _snake_case             =     parser.parse_args()
   convert_yoso_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)



