
"""simple docstring"""





import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel



def 				lowerCamelCase__		(      __snake_case,					__snake_case=False     )							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase										=  OmegaConf.load(__snake_case     )
					if display:
										print(yaml.dump(OmegaConf.to_container(__snake_case     )     )     )
					return config



def 				lowerCamelCase__		(      __snake_case,					__snake_case=None,					__snake_case=None     )							->		Tuple:


					"""simple docstring"""





					if conf_path is None:
										_UpperCamelCase										=  '''./model_checkpoints/vqgan_only.yaml'''
					_UpperCamelCase										=  load_config(__snake_case,					display=__snake_case     )
					_UpperCamelCase										=  VQModel(**config.model.params     )
					if ckpt_path is None:
										_UpperCamelCase										=  '''./model_checkpoints/vqgan_only.pt'''
					_UpperCamelCase										=  torch.load(__snake_case,					map_location=__snake_case     )
					if ".ckpt" in ckpt_path:
										_UpperCamelCase										=  sd['''state_dict''']
					model.load_state_dict(__snake_case,					strict=__snake_case     )
					model.to(__snake_case     )
					del sd
					return model



def 				lowerCamelCase__		(      __snake_case,					__snake_case     )							->		Dict:


					"""simple docstring"""





					_UpperCamelCase			,  _UpperCamelCase			,  _UpperCamelCase										=  model.encode(__snake_case     )
					print(F'''VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}'''     )
					_UpperCamelCase										=  model.decode(__snake_case     )
					return xrec



def 				lowerCamelCase__		(      __snake_case,					__snake_case=False     )							->		Any:


					"""simple docstring"""





					_UpperCamelCase			,  _UpperCamelCase										=  string.rsplit('''.''',					1     )
					if reload:
										_UpperCamelCase										=  importlib.import_module(__snake_case     )
										importlib.reload(__snake_case     )
					return getattr(importlib.import_module(__snake_case,					package=__snake_case     ),					cls     )



def 				lowerCamelCase__		(      __snake_case     )							->		Union[str, Any]:


					"""simple docstring"""





					if "target" not in config:
										raise KeyError('''Expected key `target` to instantiate.'''     )
					return get_obj_from_str(config['''target''']     )(**config.get('''params''',					{}     )     )



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case=True,					__snake_case=True     )							->		Tuple:


					"""simple docstring"""





					_UpperCamelCase										=  instantiate_from_config(__snake_case     )
					if sd is not None:
										model.load_state_dict(__snake_case     )
					if gpu:
										model.cuda()
					if eval_mode:
										model.eval()
					return {"model": model}



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case,					__snake_case     )							->		int:


					"""simple docstring"""





					if ckpt:
										_UpperCamelCase										=  torch.load(__snake_case,					map_location='''cpu'''     )
										_UpperCamelCase										=  pl_sd['''global_step''']
										print(F'''loaded model from global step {global_step}.'''     )
					else:
										_UpperCamelCase										=  {'''state_dict''': None}
										_UpperCamelCase										=  None
					_UpperCamelCase										=  load_model_from_config(config.model,					pl_sd['''state_dict'''],					gpu=__snake_case,					eval_mode=__snake_case     )['''model''']
					return model, global_step








"""simple docstring"""





class    _UpperCAmelCase:



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






							'''simple docstring'''
							_UpperCamelCase										=  name
							_UpperCamelCase										=  value
							_UpperCamelCase										=  weight



		def __repr__( self)	->	List[str]:






							'''simple docstring'''
							return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							return self.value



		def 						UpperCAmelCase							( self)	->	Union[str, Any]:






							'''simple docstring'''
							return self.name



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return self.weight




		def 						UpperCAmelCase							( self)	->	Any:






							'''simple docstring'''
							return self.value / self.weight





def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		Optional[Any]:


					"""simple docstring"""





					_UpperCamelCase										=  []
					for i in range(len(__snake_case     )     ):
										menu.append(Things(name[i],					value[i],					weight[i]     )     )
					return menu



def 				lowerCamelCase__		(      __snake_case,					__snake_case,					__snake_case     )							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase										=  sorted(__snake_case,					key=__snake_case,					reverse=__snake_case     )
					_UpperCamelCase										=  []
					_UpperCamelCase			,  _UpperCamelCase										=  0.0, 0.0
					for i in range(len(__snake_case     )     ):
										if (total_cost + items_copy[i].get_weight()) <= max_cost:
															result.append(items_copy[i]     )
															total_cost += items_copy[i].get_weight()
															total_value += items_copy[i].get_value()
					return (result, total_value)



def 				lowerCamelCase__		(      )							->		List[str]:


					"""simple docstring"""







if __name__ == "__main__":
				import doctest

				doctest.testmod()






