docstr: Test the binary assert functions for ragged tensors.
docstr_tok: ["Test","the","binary","assert","functions","for","ragged","tensors","."]
code: def testBinaryAssertOp(
      self, x, y, op=check_ops.assert_equal_v2, **extra_args
  ):
      """Test the binary assert functions for ragged tensors."""
  
      def check_binary_assert_pass(assert_op, x, y):
          assert_passed = True
          try:
              result = assert_op(x, y)
              if result is not None:  # in graph mode
                  with ops.control_dependencies([result]):
                      eval_tensor = array_ops.zeros([])
                  self.evaluate(eval_tensor)
          except (ValueError, errors.InvalidArgumentError):
              assert_passed = False
          return assert_passed
  
      op_assert_pass = check_binary_assert_pass(op, x, y)
  
      dense_x = x.flat_values if ragged_tensor.is_ragged(x) else x
      dense_y = y.flat_values if ragged_tensor.is_ragged(y) else y
      # Run the wrapped op on the converted tensor values, for comparison.
      expected_assert_pass = check_binary_assert_pass(
          op, dense_x, dense_y
      )
  
      self.assertEqual(op_assert_pass, expected_assert_pass)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import image_ops_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_dispatch
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_test_ops
  from tensorflow.python.ops.ragged.dynamic_ragged_shape import DynamicRaggedShape
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import dispatch
  from tensorflow.python.util import nest
label_desc: Use image node_id 4 for calling the RaggedDispatchTest obj's underlying member method code with example usage: obj.testBinaryAssertOp(x, y, op) and returns: assert_passed