assertEquals("smb://dfs-server/dfs-share" + l.getUNCPath().replace('\\', '/'), l.getDfsPath());
        assertEquals("dfs-share", l.getShare());

        // Path consumed negative -> coerced to 0
        when(dr.getPathConsumed()).thenReturn(-1);
        String unc2 = l.handleDFSReferral(dr, null);
        assertTrue(unc2.contains("dfs/path") || unc2.contains("dfs\\path"));
    }

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

Containers also have their own **isolated** running processes (commonly just one process), file system, and network, simplifying deployment, security, development, etc.

        assertEquals(2, sis.read());

        // Read second message
        assertEquals(3, sis.read());
        assertEquals(4, sis.read());
        assertEquals(5, sis.read());

        // After all data is consumed, next read throws IOException
        assertThrows(IOException.class, () -> sis.read());
    }

    @Test
    @DisplayName("EOF handling when stream ends mid-header")

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.admin.user;

import java.util.Base64;
import java.util.HashMap;
import java.util.Map;
import java.util.function.Consumer;

import org.apache.commons.lang3.ArrayUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;

   * {@code A -> B}.
   *
   * @since 9.0 (in 1.0 as {@code com.google.common.base.Service.State})
   */
  enum State {
    /** A service in this state is inactive. It does minimal work and consumes minimal resources. */
    NEW,

    /** A service in this state is transitioning to {@link #RUNNING}. */
    STARTING,

    /** A service in this state is operational. */
    RUNNING,

import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Base64;
import java.util.Date;
import java.util.List;
import java.util.Map;
import java.util.TimeZone;
import java.util.function.Consumer;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.TotalHits;
import org.codelibs.core.beans.BeanDesc;
import org.codelibs.core.beans.Converter;

System.out.println("REQUEST 1 (new connection)");
try (Response response = client.newCall(request).execute()) {
  // Consume and discard the response body.
  response.body().source().readByteString();
}

System.out.println("REQUEST 2 (pooled connection)");
try (Response response = client.newCall(request).execute()) {
  // Consume and discard the response body.
  response.body().source().readByteString();
}
```

* [Revisar Pull Requests](#review-pull-requests){.internal-link target=_blank} (ver la sección arriba).

Esas dos tareas son las que **consumen más tiempo**. Ese es el trabajo principal de mantener FastAPI.

Si puedes ayudarme con eso, **me estás ayudando a mantener FastAPI** y asegurando que siga **avanzando más rápido y mejor**. 🚀

vm.swappiness=0
vm.vfs_cache_pressure=50

# Start writeback at 3% memory
vm.dirty_background_ratio=3
# Force writeback at 10% memory
vm.dirty_ratio=10

# Quite a few memory map
# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

# network tuning for bigger throughput

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.admin.group;

import java.util.Base64;
import java.util.Map;
import java.util.function.Consumer;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.pager.GroupPager;