trustDomain string
	SecretMeta
}

// Name sets the name field on a secretItemBuilder
func (s *secretItemBuilder) Name(name string) SecretItemBuilder {
	s.name = name
	return s
}

// Data sets the data field on a secretItemBuilder
func (s *secretItemBuilder) Data(data string) SecretItemBuilder {
	s.data = data
	return s
}

// Source sets the source field on a secretItemBuilder

    assertThat(network).isNotEqualTo(g2);
  }

  // Node sets are the same, but edge sets differ.
  @Test
  public void equivalent_edgeSetsDiffer() {
    network.addEdge(N1, N2, E12);

    MutableNetwork<Integer, String> g2 = createNetwork(edgeType);
    g2.addEdge(N1, N2, E13);

    assertThat(network).isNotEqualTo(g2);
  }

  // Node/edge sets are the same, but node/edge connections differ due to edge type.
  @Test

    assertThat(network).isNotEqualTo(g2);
  }

  // Node sets are the same, but edge sets differ.
  @Test
  public void equivalent_edgeSetsDiffer() {
    network.addEdge(N1, N2, E12);

    MutableNetwork<Integer, String> g2 = createNetwork(edgeType);
    g2.addEdge(N1, N2, E13);

    assertThat(network).isNotEqualTo(g2);
  }

  // Node/edge sets are the same, but node/edge connections differ due to edge type.
  @Test

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Sets.newHashSet;

import com.google.common.base.Predicate;
import com.google.common.collect.FilteredCollectionsTestUtil.AbstractFilteredSetTest;
import java.util.Set;

    /**
     * Gets the bean to configure. Eventually, a valid request must have a bean set.
     *
     * @return The bean to configure, or {@code null} if none.
     */
    Object getBean();

    /**
     * Sets the bean to configure. Eventually, a valid request must have a bean set.
     *
     * @param bean The bean to configure, may be {@code null}.
     * @return This request for chaining, never {@code null}.
     */

	return n.innerNetns.Close()
}

func (n *NetnsWrapper) Fd() uintptr {
	return n.innerNetns.Fd()
}

func inodeForFd(n NetnsFd) (uint64, error) {
	stats := &unix.Stat_t{}
	err := unix.Fstat(int(n.Fd()), stats)
	return stats.Ino, err
}

func OpenNetns(nspath string) (NetnsCloser, error) {
	n, err := netns.GetNS(nspath)
	if err != nil {
		return nil, err
	}
	i, err := inodeForFd(n)

        // this getUnchecked() call shouldn't be a cache miss; verified below
        assertEquals(entry.getValue(), cache.getUnchecked(entry.getKey()));
      }
      assertEquals(WARMUP_SIZE, cache.stats().missCount());
      checkValidState(cache);
    }
  }

  public void testPut_populated() {
    for (LoadingCache<Object, Object> cache : caches()) {
      // don't let the entries get GCed

```sh
docker logs <container_id>
```

### Monitor MinIO Docker Container

To monitor the resources used by MinIO container, you can use the [`docker stats`](https://docs.docker.com/engine/reference/commandline/stats/) command.

```sh
docker stats <container_id>
```

## Explore Further

	driveRealtimeMetrics := collectLocalMetrics(types, collectMetricsOpts{
		hosts: map[string]struct{}{
			globalLocalNodeName: {},
		},
	})

	stats := map[string]madmin.DiskIOStats{}
	for d, m := range driveRealtimeMetrics.ByDisk {
		stats[d] = m.IOStats
	}
	return stats
}

func (m *MetricValues) setDriveBasicMetrics(drive madmin.Disk, labels []string) {
	m.Set(driveUsedBytes, float64(drive.UsedSpace), labels...)