





import argparse
import os

import torch

from transformers import FlavaImageCodebook, FlavaImageCodebookConfig



def      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)				->     List[str]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		s.rsplit(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)
      return new.join(_SCREAMING_SNAKE_CASE			)



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     Dict:


      '''simple docstring'''


      return sum(param.float().sum() if """encoder.embeddings""" not in key else 0 for key, param in state_dict.items()			)



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     List[Any]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		{}

      SCREAMING_SNAKE_CASE	=		["""group_1""", """group_2""", """group_3""", """group_4"""]
      for key, value in state_dict.items():
            for group_key in group_keys:
                  if group_key in key:
                        SCREAMING_SNAKE_CASE	=		key.replace(F"""{group_key}."""				,		F"""{group_key}.group."""			)

            if "res_path" in key:
                  SCREAMING_SNAKE_CASE	=		key.replace("""res_path."""				,		"""res_path.path."""			)

            if key.endswith(""".w"""			):
                  SCREAMING_SNAKE_CASE	=		rreplace(_SCREAMING_SNAKE_CASE				,		""".w"""				,		""".weight"""				,		1			)
            if key.endswith(""".b"""			):
                  SCREAMING_SNAKE_CASE	=		rreplace(_SCREAMING_SNAKE_CASE				,		""".b"""				,		""".bias"""				,		1			)

            SCREAMING_SNAKE_CASE	=		value.float()

      return upgrade



@torch.no_grad()
def      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE=None				,		_SCREAMING_SNAKE_CASE=True			)				->     Any:


      '''simple docstring'''


      from dall_e import Encoder

      SCREAMING_SNAKE_CASE	=		Encoder()
      if os.path.exists(_SCREAMING_SNAKE_CASE			):
            SCREAMING_SNAKE_CASE	=		torch.load(_SCREAMING_SNAKE_CASE			)
      else:
            SCREAMING_SNAKE_CASE	=		torch.hub.load_state_dict_from_url(_SCREAMING_SNAKE_CASE			)

      if isinstance(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			):
            SCREAMING_SNAKE_CASE	=		ckpt.state_dict()
      encoder.load_state_dict(_SCREAMING_SNAKE_CASE			)

      if config_path is not None:
            SCREAMING_SNAKE_CASE	=		FlavaImageCodebookConfig.from_pretrained(_SCREAMING_SNAKE_CASE			)
      else:
            SCREAMING_SNAKE_CASE	=		FlavaImageCodebookConfig()

      SCREAMING_SNAKE_CASE	=		FlavaImageCodebook(_SCREAMING_SNAKE_CASE			).eval()
      SCREAMING_SNAKE_CASE	=		encoder.state_dict()

      SCREAMING_SNAKE_CASE	=		upgrade_state_dict(_SCREAMING_SNAKE_CASE			)
      hf_model.load_state_dict(_SCREAMING_SNAKE_CASE			)
      SCREAMING_SNAKE_CASE	=		hf_model.state_dict()
      SCREAMING_SNAKE_CASE	=		count_parameters(_SCREAMING_SNAKE_CASE			)
      SCREAMING_SNAKE_CASE	=		count_parameters(_SCREAMING_SNAKE_CASE			)

      assert torch.allclose(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		atol=1E-3			)

      if save_checkpoint:
            hf_model.save_pretrained(_SCREAMING_SNAKE_CASE			)
      else:
            return hf_state_dict


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE_		     = argparse.ArgumentParser()
      parser.add_argument("""--pytorch_dump_folder_path""", default=None, type=str, help="""Path to the output PyTorch model.""")
      parser.add_argument("""--checkpoint_path""", default=None, type=str, help="""Path to flava checkpoint""")
      parser.add_argument("""--config_path""", default=None, type=str, help="""Path to hf config.json of model to convert""")
      SCREAMING_SNAKE_CASE_		     = parser.parse_args()

      convert_dalle_checkpoint(args.checkpoint_path, args.pytorch_dump_folder_path, args.config_path)









def      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)				->     float:


      '''simple docstring'''


      return price * (1 + tax_rate)


if __name__ == "__main__":
      print(F'''{price_plus_tax(1_0_0, 0.25) = }''')
      print(F'''{price_plus_tax(125.50, 0.05) = }''')


