code: def get_batch(self):
      task = self.task
      start = self.batch_start[task]
      mols = task_molecules[task][start : start + self.batch_size]
      labels = np.zeros((self.batch_size, 1))
      labels[np.arange(self.batch_size), 0] = y[mols, task]
      if start + 2 * self.batch_size > len(task_molecules[task]):
          self.batch_start[task] = 0
      else:
          self.batch_start[task] += self.batch_size
      return [x[mols, :], labels]
  
file_path: deepchem/examples/low_data/toxcast_maml.py
imports: from __future__ import print_function
  import deepchem
  import numpy
  import tensorflow
  from sklearn.metrics import accuracy_score
label_desc: Use image node_id 6 for calling the ToxcastLearner obj's underlying member method code with example usage: obj.get_batch() and returns: list