title: TensorFlow, Large-scale machine learning on heterogeneous systems

     * Maven-based resolution. In more detail, this method configures settings relevant for the processing of dependency
     * graphs, most other settings remain at their generic default value. Use the various setters to further configure
     * the session with authentication, mirror, proxy and other information required for your environment. At least,

import com.google.common.collect.ImmutableList;
import com.google.errorprone.annotations.CanIgnoreReturnValue;

/**
 * Standard implementation of {@link MutableNetwork} that supports both directed and undirected
 * graphs. Instances of this class should be constructed with {@link NetworkBuilder}.
 *
 * <p>Time complexities for mutation methods are all O(1) except for {@code removeNode(N node)},

{% endif %}

{% endfor %}

</div>

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        }
    }

    /**
     * Display attributes, also known as
     * <a href="https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_(Select_Graphic_Rendition)_parameters">SGR
     * (Select Graphic Rendition) parameters</a>.
     */
    public enum Attribute {
        RESET(0, "RESET"),
        INTENSITY_BOLD(1, "INTENSITY_BOLD"),
        INTENSITY_FAINT(2, "INTENSITY_FAINT"),
        ITALIC(3, "ITALIC_ON"),

 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.graph.Graphs.checkNonNegative;

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import org.jspecify.annotations.Nullable;

/**

   * not specified.)
   *
   * @since 8.0
   */
  public static final byte US = 31;

  /**
   * Space: A normally non-printing graphic character used to separate words. It is also a format
   * effector which controls the movement of the printing position, one printing position forward.
   * (Applicable also to display devices.)
   *
   * @since 8.0

    you, it may be us who may have hit a snag. Please be patient while we work
    to fix this.
-   Once the internal tests pass, we go ahead and merge the code internally as
    well as externally on GitHub.

In a graphical form, the entire lifetime of a PR looks like

![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3)

### Contributor License Agreements

public final class ValueGraphTest {
  private static final String DEFAULT = "default";

  MutableValueGraph<Integer, String> graph;

  @After
  public void validateGraphState() {
    assertStronglyEquivalent(graph, Graphs.copyOf(graph));
    assertStronglyEquivalent(graph, ImmutableValueGraph.copyOf(graph));

    Graph<Integer> asGraph = graph.asGraph();
    AbstractGraphTest.validateGraph(asGraph);

   *     one path between any two nodes
   */
  public static <N> Traverser<N> forTree(SuccessorsFunction<N> tree) {
    if (tree instanceof BaseGraph) {
      checkArgument(((BaseGraph<?>) tree).isDirected(), "Undirected graphs can never be trees.");
    }
    if (tree instanceof Network) {
      checkArgument(((Network<?, ?>) tree).isDirected(), "Undirected networks can never be trees.");
    }
    return new Traverser<N>(tree) {