


'''simple docstring'''

import argparse
import os

import torch

from transformers import FlavaImageCodebook, FlavaImageCodebookConfig





def lowerCamelCase      (      lowerCAmelCase    :     List[str]		,		lowerCAmelCase    :     Optional[Any]		,		lowerCAmelCase    :     str		,		lowerCAmelCase    :     str		):





	"""simple docstring"""







	__magic_name__	:   List[Any]					     =					s.rsplit(lowerCAmelCase		,		lowerCAmelCase		)
	return new.join(lowerCAmelCase		)





def lowerCamelCase      (      lowerCAmelCase    :     int		):





	"""simple docstring"""







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





def lowerCamelCase      (      lowerCAmelCase    :     Dict		):





	"""simple docstring"""







	__magic_name__	:   Optional[Any]					     =					{}

	__magic_name__	:   Dict					     =					['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:
				__magic_name__	:   List[Any]					     =					key.replace(f'{group_key}.'		,		f'{group_key}.group.'		)

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

		if key.endswith('.w'		):
			__magic_name__	:   List[str]					     =					rreplace(lowerCAmelCase		,		'.w'		,		'.weight'		,		1		)
		if key.endswith('.b'		):
			__magic_name__	:   Tuple					     =					rreplace(lowerCAmelCase		,		'.b'		,		'.bias'		,		1		)

		__magic_name__	:   Tuple					     =					value.float()

	return upgrade





@torch.no_grad()
def lowerCamelCase      (      lowerCAmelCase    :     int		,		lowerCAmelCase    :     Tuple		,		lowerCAmelCase    :     Dict=None		,		lowerCAmelCase    :     Dict=True		):





	"""simple docstring"""







	from dall_e import Encoder

	__magic_name__	:   Union[str, Any]					     =					Encoder()
	if os.path.exists(lowerCAmelCase		):
		__magic_name__	:   Optional[Any]					     =					torch.load(lowerCAmelCase		)
	else:
		__magic_name__	:   int					     =					torch.hub.load_state_dict_from_url(lowerCAmelCase		)

	if isinstance(lowerCAmelCase		,		lowerCAmelCase		):
		__magic_name__	:   Tuple					     =					ckpt.state_dict()
	encoder.load_state_dict(lowerCAmelCase		)

	if config_path is not None:
		__magic_name__	:   Union[str, Any]					     =					FlavaImageCodebookConfig.from_pretrained(lowerCAmelCase		)
	else:
		__magic_name__	:   Any					     =					FlavaImageCodebookConfig()

	__magic_name__	:   Union[str, Any]					     =					FlavaImageCodebook(lowerCAmelCase		).eval()
	__magic_name__	:   Union[str, Any]					     =					encoder.state_dict()

	__magic_name__	:   List[str]					     =					upgrade_state_dict(lowerCAmelCase		)
	hf_model.load_state_dict(lowerCAmelCase		)
	__magic_name__	:   List[Any]					     =					hf_model.state_dict()
	__magic_name__	:   Union[str, Any]					     =					count_parameters(lowerCAmelCase		)
	__magic_name__	:   Dict					     =					count_parameters(lowerCAmelCase		)

	assert torch.allclose(lowerCAmelCase		,		lowerCAmelCase		,		atol=1e-3		)

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


if __name__ == "__main__":
		lowerCAmelCase				:List[str]        =      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''')
		lowerCAmelCase				:Tuple        =      parser.parse_args()

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



'''simple docstring'''

def lowerCamelCase      (      lowerCAmelCase    :     str		):





	"""simple docstring"""







	if not all(x.isalpha() for x in string		):
		raise ValueError('String must only contain alphabetic characters.'		)

	__magic_name__	:   int					     =					sorted(string.lower()		)
	return len(lowerCAmelCase		) == len(set(lowerCAmelCase		)		)


if __name__ == "__main__":
							lowerCAmelCase				:Any        =      input('''Enter a string ''').strip()

							lowerCAmelCase				:List[Any]        =      is_isogram(input_str)
							print(F'{input_str} is {"an" if isogram else "not an"} isogram.')