import numpy as np,torchvision.transforms
from visgen.datasets.base import BaseDataset
class MPI3D(BaseDataset):
	def __init__(self,*args,**kwargs):self._attribute_indices={'color':0,'shape':1,'size':2,'height':3,'bgcolor':4,'x-axis':5,'y-axis':6};self.transform=torchvision.transforms.ToTensor();super().__init__(*args,**kwargs)
	def __getitem__(self,idx:int):
		image=self._dataset_images[idx];targets=self._dataset_targets[idx]
		if self.transform is not None:image=np.transpose(image,(1,2,0));image=self.transform(image)
		return image,targets
	def _load_data(self,dataset_path,dataset_subset):dataset=np.load(dataset_path);dataset_images,dataset_targets=dataset['images'],dataset['labels'];dataset_targets=np.expand_dims(dataset_targets,axis=1);return dataset_images,dataset_targets
	def _attribute_to_index(self,attribute):return self._attribute_indices[attribute]