void TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults* results,
                                           int* num_outputs,
                                           TF_Output** outputs) {
  *num_outputs = results->return_tensors.size();
  *outputs = results->return_tensors.data();
}

void TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults* results,
                                              int* num_opers,

	}

	datas := []struct {
		callbacks []callback
		err       string
		results   []string
	}{
		{
			callbacks: []callback{{h: c1}, {h: c2}, {h: c3}, {h: c4}, {h: c5}},
			results:   []string{"c1", "c2", "c3", "c4", "c5"},
		},
		{
			callbacks: []callback{{h: c1}, {h: c2}, {h: c3}, {h: c4}, {h: c5, before: "c4"}},
			results:   []string{"c1", "c2", "c3", "c5", "c4"},
		},
		{

				[]clause.Column{{Name: "name"}, {Name: "age"}},
			}, clause.Returning{}},
			"SELECT * FROM `users` RETURNING *", nil,
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}

						},
					},
				},
			}, clause.From{}},
			"SELECT `age` = ? as name FROM `users`",
			[]interface{}{18},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}

				done = true
			}
		}
	}
	for {
		select {
		case result, ok := <-results:
			if !ok {
				done = true
				break
			}
			if result.Err != nil {
				failed = true
				batchLogIf(ctx, result.Err)
				continue
			}
			if result.Item.DeleteMarker {
				deleteMarkerCountMap[result.Item.Name]++
			}
			// Apply filter to find the matching rule to apply expiry

			Scheme: scheme,
			Host:   globalLocalNodeName,
		}
		if err != nil {
			results[len(results)-1].Error = err.Error()
		} else {
			results[len(results)-1] = r
		}
		results[len(results)-1].Endpoint = u.String()
	}()
	wg.Wait()

	return results
}

// DriveSpeedTest - Drive performance information

        uses: ossf/scorecard-action@05b42c624433fc40578a4040d5cf5e36ddca8cde # v2.4.2
        with:
          results_file: results.sarif
          results_format: sarif
          publish_results: true

      # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
      # format to the repository Actions tab.
      - name: "Upload artifact"

			"SELECT * FROM `users` LIMIT ? OFFSET ?",
			[]interface{}{limit50, 30},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}

		}
		for i := 1; i < len(result.Pets); i++ {
			if result.Pets[i-1].Name > result.Pets[i].Name {
				t.Fatalf("Preload user %v pets not ordered correctly, last %v, cur %v", result.Name, result.Pets[i-1], result.Pets[i])
			}
		}
		for i := 1; i < len(result.Pets); i++ {
			if result.Pets[i-1].Name > result.Pets[i].Name {

```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.