code: def flat_image_array():
      return {
          "x": np.zeros((1, 3 * 28 * 28)),
          "shape": (3, 28, 28),
          "channel_first": True,
      }
  
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 15 for calling a global function with example usage: flat_image_array() and returns: dict