code: def test_default(
      self,
      x_factory,
      minlength,
      maxlength,
      expected,
      tid=None,
  ):
      x = x_factory()
      expected = _adjust_expected_rank1(expected, minlength, maxlength)
      self.assertAllEqual(
          expected,
          self.evaluate(
              sparse_ops.bincount(
                  x, minlength=minlength, maxlength=maxlength
              )
          ),
      )
      self.assertAllEqual(
          expected,
          self.evaluate(
              sparse_ops.bincount(
                  x, minlength=minlength, maxlength=maxlength, axis=0
              )
          ),
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the TestSparseCount obj's underlying member method code with example usage: obj.test_default(x_factory, minlength, maxlength, expected, tid) without return types