code: def testBinarySimple(self):
      # Binary cases in XLA mode must have either (a) each index appearing exactly
      # once in both the inputs (batch or contraction index), or (b) appearing
      # exactly once in an input and in the output (free index).
      self._check(",->", (), ())
      self._check("a,a->", (3,), (3,))
      self._check("a,a->a", (3,), (3,))
      self._check("ab,b->a", (3, 4), (4,))
      self._check("ab,ab->", (3, 4), (3, 4))
      self._check("ab,bc->ac", (3, 4), (4, 5))
      self._check("nij,jk->nik", (5, 2, 3), (3, 4))
      self._check("abc,bad->abcd", (1, 2, 3), (2, 1, 4))
      # Based on https://github.com/google/jax/issues/37#issuecomment-448572187
      self._check("sa,shb->shab", (2, 1), (2, 3, 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 5 for calling the EinsumOpTest obj's underlying member method code with example usage: obj.testBinarySimple() without return types