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import random
import time
import itertools
import numpy as np
import os
import numpy as np
import json
from tqdm import tqdm
from pysat.solvers import Glucose42, Minicard, Lingeling, Cadical153, Minisat22,MapleChrono, Mergesat3

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import matplotlib.pyplot as plt
from PIL import Image
from torch.utils.data import Dataset
from torchvision import transforms
import os

class HierarchicalImageFolder(Dataset):
    
    def __init__(self, root, hlevel=2, ftype='.jpg', transforms=None):
        '''

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import torch
import numpy as np
import torch.nn.functional as F

def form_triplets(inA, inB):
        
    '''
    Form triplets from two tensors of embeddings. It is assumed that the embeddings at corresponding batch positions are similar
    and all other batch positions are dissimilar 
    

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import torch
import numpy as np
import torch.nn.functional as F

def form_triplets(inA, inB):
        
    '''
    Form triplets from two tensors of embeddings. It is assumed that the embeddings at corresponding batch positions are similar
    and all other batch positions are dissimilar 
    

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