code: def test_ragged_bincount_binary(self, dtype):
      x = ragged_factory_ops.constant(
          [[], [], [3, 0, 1], [], [5, 0, 4, 4]]
      )
      expected_output = [
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [1, 1, 0, 1, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [1, 0, 0, 0, 1, 1],
      ]
      self.assertAllEqual(
          expected_output,
          self.evaluate(
              gen_math_ops.ragged_bincount(
                  splits=x.row_splits,
                  values=x.values,
                  weights=[],
                  size=6,
                  binary_output=True,
              )
          ),
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import errors_impl
  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 bincount_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the RaggedBincountOpTest obj's underlying member method code with example usage: obj.test_ragged_bincount_binary(dtype) without return types