//	// Get a user
//	db.Table("users").Take(&result)
func (db *DB) Table(name string, args ...interface{}) (tx *DB) {
	tx = db.getInstance()
	if strings.Contains(name, " ") || strings.Contains(name, "`") || len(args) > 0 {
		tx.Statement.TableExpr = &clause.Expr{SQL: name, Vars: args}
		if results := tableRegexp.FindStringSubmatch(name); len(results) == 3 {
			if results[1] != "" {
				tx.Statement.Table = results[1]
			} else {

-   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

				},
			},
			"SELECT * FROM `users` ORDER BY FIELD(id, ?,?,?)",
			[]interface{}{1, 2, 3},
		},
	}

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

 * as a {@code List}:
 *
 * <pre>{@code
 * ImmutableList<String> results =
 *     FluentIterable.from(database.getClientList())
 *         .filter(Client::isActiveInLastMonth)
 *         .transform(Object::toString)
 *         .limit(10)
 *         .toList();
 * }</pre>
 *
 * The approximate stream equivalent is:
 *
 * <pre>{@code
 * List<String> results =
 *     database.getClientList()
 *         .stream()

	if err != nil {
		return SpeedTestResult{}, err
	}

	var result SpeedTestResult
	err = gob.NewDecoder(waitReader).Decode(&result)
	if err != nil {
		return result, err
	}
	if result.Error != "" {
		return result, errors.New(result.Error)
	}
	return result, nil
}

errors.not_found_on_file_system=Non trouvé : {0}
errors.could_not_open_on_system=Impossible d'ouvrir {0}. <br/>Veuillez vérifier si le fichier est associé à une application.
errors.result_size_exceeded=Aucun autre résultat ne peut être affiché.
errors.target_file_does_not_exist={0} le fichier n'existe pas.
errors.failed_to_delete_file=Échec de la suppression du fichier {0}.
errors.docid_not_found=ID de document introuvable :{0}

    try {
      call.execute()
      fail("Request can't succeed")
    } catch (ioe: IOException) {
      assertThat(ioe).hasMessage("No results for google.invalid")
    }
  }

  @Test
  @Ignore("No results on CI for localhost")
  fun testDnsRequest() {
    val (allAddresses, exception) = dnsQuery("localhost")

    assertThat(exception).isNull()

  /** Returns a plan to attempt. */
  @Throws(IOException::class)
  fun plan(): Plan

  /**
   * Returns true if there's more route plans to try.
   *
   * @param failedConnection an optional connection that was resulted in a failure. If the failure
   *     is recoverable, the connection's route may be recovered for the retry.
   */
  fun hasNext(failedConnection: RealConnection? = null): Boolean

  /**

				item = madmin.ItemOnline
			} else {
				item = madmin.ItemOffline
			}
			results[i] = Result{
				Endpoint:  c.client.Endpoints[i],
				ItemState: item,
			}
		}(i)
	}
	wg.Wait()

	status := make(map[string]madmin.ItemState, len(results))
	for _, r := range results {
		if r.ItemState == madmin.ItemOnline {
			status[r.Endpoint] = madmin.ItemOnline
		} else {

							}
						} else if result.Online {
							offline = prev.offlineDuration
						}
					}
					lastOnline = prev.lastOnline
					if result.Online {
						lastOnline = time.Now()
					}
					l := prev.latency
					l.update(time.Since(start))
					m[result.Endpoint.Host] = epHealth{
						Endpoint:        result.Endpoint.Host,
						Scheme:          result.Endpoint.Scheme,