

import argparse
import os

import torch

from transformers import FlavaImageCodebook, FlavaImageCodebookConfig







def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__   ,	lowercase__						):
      __lowerCAmelCase					:						List[Any]					=					s.rsplit(lowercase__   ,	lowercase__						)
      return new.join(lowercase__						)







def 		_lowercase (     lowercase__						):
      # encoder.embeddings are double copied in original FLAVA
      return sum(param.float().sum() if '''encoder.embeddings''' not in key else 0 for key, param in state_dict.items()						)







def 		_lowercase (     lowercase__						):
      __lowerCAmelCase					:						int					=					{}

      __lowerCAmelCase					:						Tuple					=					['''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:
                        __lowerCAmelCase					:						str					=					key.replace(f"""{group_key}."""   ,	f"""{group_key}.group."""						)

            if "res_path" in key:
                  __lowerCAmelCase					:						List[Any]					=					key.replace('''res_path.'''   ,	'''res_path.path.'''						)

            if key.endswith('''.w'''						):
                  __lowerCAmelCase					:						Union[str, Any]					=					rreplace(lowercase__   ,	'''.w'''   ,	'''.weight'''   ,	1						)
            if key.endswith('''.b'''						):
                  __lowerCAmelCase					:						Dict					=					rreplace(lowercase__   ,	'''.b'''   ,	'''.bias'''   ,	1						)

            __lowerCAmelCase					:						Union[str, Any]					=					value.float()

      return upgrade







@torch.no_grad()
def 		_lowercase (     lowercase__   ,	lowercase__   ,	lowercase__=None   ,	lowercase__=True						):
      from dall_e import Encoder

      __lowerCAmelCase					:						Any					=					Encoder()
      if os.path.exists(lowercase__						):
            __lowerCAmelCase					:						Dict					=					torch.load(lowercase__						)
      else:
            __lowerCAmelCase					:						List[str]					=					torch.hub.load_state_dict_from_url(lowercase__						)

      if isinstance(lowercase__   ,	lowercase__						):
            __lowerCAmelCase					:						Optional[Any]					=					ckpt.state_dict()
      encoder.load_state_dict(lowercase__						)

      if config_path is not None:
            __lowerCAmelCase					:						Dict					=					FlavaImageCodebookConfig.from_pretrained(lowercase__						)
      else:
            __lowerCAmelCase					:						int					=					FlavaImageCodebookConfig()

      __lowerCAmelCase					:						List[Any]					=					FlavaImageCodebook(lowercase__						).eval()
      __lowerCAmelCase					:						Union[str, Any]					=					encoder.state_dict()

      __lowerCAmelCase					:						Dict					=					upgrade_state_dict(lowercase__						)
      hf_model.load_state_dict(lowercase__						)
      __lowerCAmelCase					:						Union[str, Any]					=					hf_model.state_dict()
      __lowerCAmelCase					:						Optional[Any]					=					count_parameters(lowercase__						)
      __lowerCAmelCase					:						List[Any]					=					count_parameters(lowercase__						)

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

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


if __name__ == "__main__":
 _UpperCamelCase 			=		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")
 _UpperCamelCase 			=		parser.parse_args()

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





def 		_lowercase (     lowercase__ = 2_0_0						):
      __lowerCAmelCase					:						Union[str, Any]					=					[1, 2, 5, 1_0, 2_0, 5_0, 1_0_0, 2_0_0]
      __lowerCAmelCase					:						Dict					=					[0] * (pence + 1)
      __lowerCAmelCase					:						Optional[int]					=					1  # base case: 1 way to make 0 pence

      for coin in coins:
            for i in range(lowercase__   ,	pence + 1   ,	1						):
                  number_of_ways[i] += number_of_ways[i - coin]
      return number_of_ways[pence]


if __name__ == "__main__":
 assert solution(200) == 7_3682


