code: def testBroadcastingWithRepeatedIndices(self):
      # Broadcasting with repeated indices.
      self._check("ij,jk...k->i...", (3, 2), (2, 4, 1, 4))
      self._check("ij,jk...k->...i", (3, 2), (2, 4, 5, 4))
      self._check("ijj,jk...k->i...", (3, 2, 2), (2, 4, 1, 4))
      self._check(
          "i...jj,jk...k->i...", (3, 3, 1, 2, 2), (2, 4, 1, 5, 4)
      )
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_linalg_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the EinsumOpTest obj's underlying member method code with example usage: obj.testBroadcastingWithRepeatedIndices() without return types