val readTimeout = soTimeout
    try {
      soTimeout = 1
      !source.exhausted()
    } finally {
      soTimeout = readTimeout
    }
  } catch (_: SocketTimeoutException) {
    true // Read timed out; socket is good.
  } catch (_: IOException) {
    false // Couldn't read; socket is closed.
  }

internal inline fun threadName(
  name: String,
  block: () -> Unit,
) {

    this.supportsFastOffset = supportsFastOffset;
  }

  /**
   * Returns, conceptually, "origin + distance", or equivalently, the result of calling {@link
   * #next} on {@code origin} {@code distance} times.
   */
  C offset(C origin, long distance) {
    C current = origin;
    checkNonnegative(distance, "distance");
    for (long i = 0; i < distance; i++) {
      current = next(current);

            entry.dfs_name = "consistent_share_" + i;
            testArray.s[i] = entry;
        }

        setDfsEnumArray(dfsRootEnum, testArray);

        // Call getEntries multiple times
        FileEntry[] entries1 = dfsRootEnum.getEntries();
        FileEntry[] entries2 = dfsRootEnum.getEntries();
        FileEntry[] entries3 = dfsRootEnum.getEntries();

        // Verify consistency

        setTree(c, tree);

        // Act: first acquire triggers tree.acquire()
        c.acquire();
        verify(tree, times(1)).acquire();

        // Act: second acquire does not call tree.acquire again
        c.acquire();
        verify(tree, times(1)).acquire();

        // Act: first release does not release yet (usage -> 1)
        c.release();
        verify(tree, never()).release();

    * Pythonの`datetime.date`です。
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `2008-09-15`
* `datetime.time`:
    * Pythonの`datetime.time`.
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `14:23:55.003`
* `datetime.timedelta`:
    * Pythonの`datetime.timedelta`です。
    * リクエストとレスポンスでは合計秒数の`float`で表現されます。

   *
   * <p><b>Warning:</b> using a bounded executor may be counterproductive! If the thread pool fills
   * up, any time callers spend waiting for a thread may count toward their time limit, and in this
   * case the call may even time out before the target method is ever invoked.
   *
   * @param executor the ExecutorService that will execute the method calls on the target objects;

   * @return a list of {@code ListenableFuture} instances representing the tasks, in the same
   *     sequential order as produced by the iterator for the given task list. If the operation did
   *     not time out, each task will have completed. If it did time out, some of these tasks will
   *     not have completed.
   * @throws RejectedExecutionException {@inheritDoc}
   * @throws NullPointerException if any task is null
   */
  @Override

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"errors"
	"strings"
	"time"

	jsoniter "github.com/json-iterator/go"
	"github.com/minio/minio/internal/cachevalue"
)

const (
	dataUsageRoot   = SlashSeparator
	dataUsageBucket = minioMetaBucket + SlashSeparator + bucketMetaPrefix

      $(this).val(
        picker.startDate.format("YYYY-MM-DD HH:mm") +
          " - " +
          picker.endDate.format("YYYY-MM-DD HH:mm")
      );
    });

  // Time picker
  $("input.form-control.time").timepicker({
    showInputs: false
  });

  // tooltips
  $(function() {
    $('[data-toggle="tooltip"]').tooltip();
  });

Então, durante esse tempo, o computador pode ir e fazer outro trabalho, enquanto o "arquivo lento" 📝 termina.

Então o computador / programa 🤖 irá voltar sempre que tiver uma chance, seja porque ele está esperando novamente, ou quando ele 🤖 terminar todo o trabalho que tem até esse ponto. E ele 🤖 irá ver se alguma das tarefas que estava esperando já terminaram de fazer o que quer que tinham que fazer.