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

  kafka: warning
  lua: warning
  main: warning
  misc: warning
  mongo: warning
  quic: warning
  pool: warning
  rbac: warning
  redis: warning
  router: warning
  runtime: warning
  stats: warning
  secret: warning
  tap: warning
  testing: warning
  thrift: warning
  tracing: warning
  upstream: warning
  udp: warning

	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

 * 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;

   
   
   *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.

    /**
     * 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)

	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...)

        // 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

    private File projectDirectory;

    @Override
    public List<String> getActiveProfileIds() {
        return activeProfileIds;
    }

    /**
     * Sets the identifiers of those profiles that should be activated by explicit demand.
     *
     * @param activeProfileIds The identifiers of those profiles to activate, may be {@code null}.
     * @return This context, never {@code null}.