code: def test_from_dask(self, einstr, dtype):
      r = jtu.rand_default()
      if "->" in einstr:
          input_str, _ = einstr.split("->")
      else:
          input_str = einstr
      input_names = input_str.split(",")
  
      dims = itertools.cycle([2, 3, 4])
      shapes = defaultdict(lambda: next(dims))
      input_shapes = [
          tuple(shapes[c] for c in names.replace("...", "01"))
          for names in input_names
      ]
      operands = [r(shape, dtype) for shape in input_shapes]
  
      self._check(einstr, *operands)
  
imports: from collections import defaultdict
  import itertools
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.jax_tests.config import config
  import trax.tf_numpy.jax_tests.test_util
  import trax.tf_numpy.numpy
label_desc: Use image node_id 29 for calling the EinsumTest obj's underlying member method code with example usage: obj.test_from_dask(einstr, dtype) without return types