def _add_header(request, **kwargs):
    request.headers.add_header('x-minio-extract', 'true')
event_system = s3.meta.events
event_system.register_first('before-sign.s3.*', _add_header)

# List zip contents
response = s3.list_objects_v2(Bucket="your-bucket", Prefix="path/to/file.zip/")
print(response)

# Download data.csv stored in the zip file

                                        </div>
                                    </div>
                                </la:form>
                            </div>
                            <%-- List --%>
                            <c:if test="${webConfigPager.allRecordCount == 0}">
                                <div class="row top10"">
                                    <div class="col-sm-12">

import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.features.MapFeature;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Iterator;
import java.util.List;
import java.util.Map.Entry;
import java.util.Set;
import org.junit.Ignore;

/**
 * Tests for {@link Multimap#asMap}.
 *
 * @author Louis Wasserman
 */
@GwtCompatible

import java.io.IOException;
import java.io.Reader;
import java.io.StringReader;
import java.lang.reflect.Method;
import java.lang.reflect.Modifier;
import java.util.ArrayList;
import java.util.List;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * @param <S> the source or sink type
 * @param <T> the data type (byte[] or String)
 * @param <F> the factory type

          }
        };

    List<Throwable> exceptions = runThreadsAndReturnExceptions(numThreads, task);

    assertThat(exceptions).isEmpty();
  }

  private static List<Throwable> runThreadsAndReturnExceptions(int numThreads, Runnable task) {
    List<Thread> threads = new ArrayList<>(numThreads);
    List<Throwable> exceptions = new ArrayList<>(numThreads);

///

`response_model` принимает те же типы, которые можно указать для какого-либо поля в модели Pydantic. Таким образом, это может быть как одиночная модель Pydantic, так и `список (list)` моделей Pydantic. Например, `List[Item]`.

         * Analyzes the given text.
         * @param text The text to analyze.
         * @param field The field name.
         * @param lang The language.
         * @return A list of analyzed tokens.
         */
        @Override
        public List<AnalyzeToken> analyze(final String text, final String field, final String lang) {
            if (text == null || text.length() > maxContentLenth) {

            return new String(new char[50_000]);
          }
        };
    List<Object> list = Collections.singletonList(object);
    for (int i = 0; i < 10; i++) {
      Object[] array = new Object[500];
      Arrays.fill(array, list);
      list = Arrays.asList(array);
    }
    future2.set(list);

    unused = future.toString();
  }

  public void testToString_notDone() throws Exception {

   *     helpful predefined constants
   * @return a mutable {@link List} containing all the lines
   * @throws IOException if an I/O error occurs
   */
  public static List<String> readLines(File file, Charset charset) throws IOException {
    // don't use asCharSource(file, charset).readLines() because that returns
    // an immutable list, which would change the behavior of this method
    return asCharSource(file, charset)

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.helper;

import java.util.ArrayList;
import java.util.List;
import java.util.Random;

import org.codelibs.fess.exception.InvalidAccessTokenException;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.dbflute.utflute.mocklet.MockletHttpServletRequest;