code: def almost_uniform_2d():
      return {
          "x_batch": np.random.randn(10, 3, 224, 224),
          "y_batch": np.random.randint(0, 10, size=10),
          "a_batch": np.random.uniform(0, 0.01, size=(10, 1, 224, 224)),
      }
  
imports: import pytest
  import pickle
  import torch
  import numpy
  from keras.datasets import cifar10
  import pandas
  from sklearn.model_selection import train_test_split
  import os
  from quantus.helpers.model.models import LeNet, LeNetTF, CifarCNNModel, ConvNet1D, ConvNet1DTF, TitanicSimpleTFModel, TitanicSimpleTorchModel
label_desc: Use image node_id 13 for calling a global function with example usage: almost_uniform_2d() and returns: dict