class_docstr: Generate support sets from a dataset.
  
  Iterates over tasks and trials. For each trial, picks one support from
  each task, and returns in a randomized order
class_docstr_tok: ["Generate","support","sets","from","a","dataset",".","Iterates","over","tasks","and","trials",".","For","each","trial",",","picks","one","support","from","each","task",",","and","returns","in","a","randomized","order"]
code: def __iter__(self):
      return self
  
imports: import logging
  import time
  import numpy
  from deepchem.data import NumpyDataset
label_desc: Use image node_id 2 for calling the SupportGenerator obj's underlying member method code with example usage: obj.__iter__() and returns: self