code: def almost_uniform_1d_no_abatch_channel_last():
      return {
          "x_batch": np.random.randn(10, 100, 3),
          "y_batch": np.random.randint(0, 10, size=10),
      }
  
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 11 for calling a global function with example usage: almost_uniform_1d_no_abatch_channel_last() and returns: dict