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/*
 * Copyright (C) 2014 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.testifyproject.guava.common.graph;

import org.testifyproject.guava.common.annotations.Beta;
import java.util.Set;
import javax.annotation.Nullable;

/**
 * An interface for graph-structured data,
 * whose edges are anonymous entities with no identity or information of their own.
 *
 * 

A graph is composed of a set of nodes and a set of edges connecting pairs of nodes. * *

There are three primary interfaces provided to represent graphs. In order of increasing * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally * prefer the simplest interface that satisfies your use case. See the * "Choosing the right graph type" section of the Guava User Guide for more details. * *

Capabilities

* *

{@code Graph} supports the following use cases (definitions of * terms): * *

    *
  • directed graphs *
  • undirected graphs *
  • graphs that do/don't allow self-loops *
  • graphs whose nodes/edges are insertion-ordered, sorted, or unordered *
* *

{@code Graph} explicitly does not support parallel edges, and forbids implementations or * extensions with parallel edges. If you need parallel edges, use {@link Network}. * *

Building a {@code Graph}

* *

The implementation classes that {@code common.graph} provides are not public, by design. To * create an instance of one of the built-in implementations of {@code Graph}, use the * {@link GraphBuilder} class: * *

{@code
 *   MutableGraph graph = GraphBuilder.undirected().build();
 * }
* *

{@link GraphBuilder#build()} returns an instance of {@link MutableGraph}, which is a subtype * of {@code Graph} that provides methods for adding and removing nodes and edges. If you do not * need to mutate a graph (e.g. if you write a method than runs a read-only algorithm on the graph), * you should use the non-mutating {@link Graph} interface, or an {@link ImmutableGraph}. * *

You can create an immutable copy of an existing {@code Graph} using {@link * ImmutableGraph#copyOf(Graph)}: * *

{@code
 *   ImmutableGraph immutableGraph = ImmutableGraph.copyOf(graph);
 * }
* *

Instances of {@link ImmutableGraph} do not implement {@link MutableGraph} (obviously!) and are * contractually guaranteed to be unmodifiable and thread-safe. * *

The Guava User Guide has more * information on (and examples of) building graphs. * *

Additional documentation

* *

See the Guava User Guide for the {@code common.graph} package ("Graphs Explained") for * additional documentation, including: * *

* * @author James Sexton * @author Joshua O'Madadhain * @param Node parameter type * @since 20.0 */ @Beta public interface Graph extends BaseGraph { // // Graph-level accessors // /** {@inheritDoc} */ @Override Set nodes(); /** {@inheritDoc} */ @Override Set> edges(); // // Graph properties // /** {@inheritDoc} */ @Override boolean isDirected(); /** {@inheritDoc} */ @Override boolean allowsSelfLoops(); /** {@inheritDoc} */ @Override ElementOrder nodeOrder(); // // Element-level accessors // /** {@inheritDoc} */ @Override Set adjacentNodes(N node); /** {@inheritDoc} */ @Override Set predecessors(N node); /** {@inheritDoc} */ @Override Set successors(N node); /** {@inheritDoc} */ @Override int degree(N node); /** {@inheritDoc} */ @Override int inDegree(N node); /** {@inheritDoc} */ @Override int outDegree(N node); /** {@inheritDoc} */ @Override boolean hasEdgeConnecting(N nodeU, N nodeV); // // Graph identity // /** * Returns {@code true} iff {@code object} is a {@link Graph} that has the same elements and the * same structural relationships as those in this graph. * *

Thus, two graphs A and B are equal if all of the following are true: * *

    *
  • A and B have equal {@link #isDirected() directedness}. *
  • A and B have equal {@link #nodes() node sets}. *
  • A and B have equal {@link #edges() edge sets}. *
* *

Graph properties besides {@link #isDirected() directedness} do not affect equality. * For example, two graphs may be considered equal even if one allows self-loops and the other * doesn't. Additionally, the order in which nodes or edges are added to the graph, and the order * in which they are iterated over, are irrelevant. * *

A reference implementation of this is provided by {@link AbstractGraph#equals(Object)}. */ @Override boolean equals(@Nullable Object object); /** * Returns the hash code for this graph. The hash code of a graph is defined as the hash code of * the set returned by {@link #edges()}. * *

A reference implementation of this is provided by {@link AbstractGraph#hashCode()}. */ @Override int hashCode(); }





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