code: def testRaggedCountSparseOutputBadSplitsStart(self):
      splits = [1, 7]
      values = [1, 1, 2, 1, 2, 10, 5]
      weights = [1, 2, 3, 4, 5, 6, 7]
      with self.assertRaisesRegex(
          errors.InvalidArgumentError, "Splits must start with 0"
      ):
          self.evaluate(
              gen_count_ops.RaggedCountSparseOutput(
                  splits=splits,
                  values=values,
                  weights=weights,
                  binary_output=False,
              )
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import bincount_ops
  from tensorflow.python.ops import gen_count_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the RawOpsTest obj's underlying member method code with example usage: obj.testRaggedCountSparseOutputBadSplitsStart() without return types