code: def test_validate_model_report_all_log_counts(self):
      in_spec = {
          "score": types.Scalar(),
          "text": types.TextSegment(),
      }
      out_spec = {
          "res": types.RegressionScore(parent="score"),
      }
      datapoints = [
          {"score": 0, "text": "a"},
          {"score": 1, "text": "b"},
      ]
      results = [{"res": None}, {"res": "bad"}]
      ds = dataset.Dataset(in_spec, datapoints)
      model = testing_utils.CustomOutputModelForTesting(
          in_spec, out_spec, results
      )
      with self.assertLogs(level="ERROR") as logs:
          with self.assertRaises(ValueError):
              validation.validate_model(model, ds, True)
          self.assertLen(logs.output, 2)
  
file_path: lit/lit_nlp/lib/validation_test.py
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import testing_utils
  from lit_nlp.lib import validation
label_desc: Use image node_id 9 for calling the ValidationTest obj's underlying member method code with example usage: obj.test_validate_model_report_all_log_counts() without return types