if len(merged) == 0 && i < 2 {
				t.Error("Did not get any results")
				return
			}
			if len(merged) > 0 && i >= 2 {
				t.Error("Got unexpected results")
				return
			}
			for _, ver := range merged {
				if ver.header.Type == invalidVersionType {
					t.Errorf("Invalid result returned: %v", ver.header)
				}
			}
		})

can view more detailed results that are probably easier to read than this log.
Try the links below:
EOF
  # Find any "Streaming build results to" lines,
  # de-duplicate,
  # and print the last word from each
  awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq
}

# Print out any ResultStore URLs for Bazel invocations' results.

}

func ToStringKey(values ...interface{}) string {
	results := make([]string, len(values))

	for idx, value := range values {
		if valuer, ok := value.(driver.Valuer); ok {
			value, _ = valuer.Value()
		}

		switch v := value.(type) {
		case string:
			results[idx] = v
		case []byte:
			results[idx] = string(v)
		case uint:
			results[idx] = strconv.FormatUint(uint64(v), 10)
		default:

 *   <li>DISABLED - No caching performed</li>
 * </ul>
 * <p>
 * Example usage:
 * <pre>
 * RequestCache cache = cacheFactory.createCache();
 * Result result = cache.request(myRequest, req -> {
 *     // Expensive operation to compute result
 *     return computedResult;
 * });
 * </pre>
 * <p>
 * The package also provides support for batch operations through {@link org.apache.maven.api.cache.BatchRequestException}

			"UPDATE LOW_PRIORITY `products`", 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)
		})
	}

}

func (schema *Schema) MakeSlice() reflect.Value {
	slice := reflect.MakeSlice(reflect.SliceOf(reflect.PointerTo(schema.ModelType)), 0, 20)
	results := reflect.New(slice.Type())
	results.Elem().Set(slice)

	return results
}

func (schema *Schema) LookUpField(name string) *Field {
	if field, ok := schema.FieldsByDBName[name]; ok {
		return field
	}

			}
			result.HealthyRead = result.HealthyRead && healthyRead
		}
	}

	if opts.Maintenance {
		result.Healthy = result.Healthy && drivesHealing == 0
		result.HealthyRead = result.HealthyRead && drivesHealing == 0
		result.HealingDrives = drivesHealing
	}

	return result
}

// PutObjectMetadata - replace or add tags to an existing object

	}

	for _, value := range values {
		if v, ok := value.(string); ok {
			results = append(results, v)
		} else {
			parseDependence(value, true)
		}
	}

	for _, name := range modelNames {
		insertIntoOrderedList(name)
	}

	for _, name := range orderedModelNames {
		results = append(results, valuesMap[name].Statement.Dest)
	}
	return
}

			},
			"UPDATE `users` SET `name`=?",
			[]interface{}{"jinzhu"},
		},
	}

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

func TestAssignments(t *testing.T) {
	set := clause.Assignments(map[string]interface{}{
		"name": "jinzhu",
		"age":  18,

-   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs

## How to Test Your Changes to TensorFlow

You may check how your changes will affect TensorFlow by:

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job