code: /*
   * Copyright (c) 2017-2018 The Regents of the University of California
   *
   * All rights reserved.
   *
   * Redistribution and use in source and binary forms, with or without
   * modification, are permitted provided that the following conditions are
   * met:
   *
   * 1. Redistributions of source code must retain the above copyright
   * notice, this list of conditions and the following disclaimer.
   *
   * 2. Redistributions in binary form must reproduce the above copyright
   * notice, this list of conditions and the following disclaimer in the
   * documentation and/or other materials provided with the distribution.
   *
   * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
   * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
   * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
   * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
   * HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
   * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
   * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
   * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
   * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
   * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
   * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
   */
  package edu.berkeley.cs.jqf.examples.jgrapht;
  
  import java.lang.annotation.ElementType;
  import java.lang.annotation.Retention;
  import java.lang.annotation.RetentionPolicy;
  import java.lang.annotation.Target;
  
  import com.pholser.junit.quickcheck.generator.GeneratorConfiguration;
  
  /**
   * Configures a graph generator to generate graphs using a
   * GNM or GNP model.
   *
   * @author Rohan Padhye
   */
  @Target({ElementType.PARAMETER, ElementType.FIELD, ElementType.ANNOTATION_TYPE, ElementType.TYPE_USE})
  @Retention(RetentionPolicy.RUNTIME)
  @GeneratorConfiguration
  public @interface GraphModel {
  
      /**
       * The number of nodes to generate.
       *
       * Must be provided.
       * @return the number of nodes to generate
       */
      int nodes();
  
  
      /**
       * The number of edges to generate.
       *
       * If provided, a GNM model is used for generation,
       * and the <code>p</code> value is ignored.
       *
       * @return a value greater than or equal to zero.
       * @see <a href="https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FErd%C5%91s%E2%80%93R%C3%A9nyi_model">
       *     GNM model</a>
       */
      int edges() default 0;
  
      /**
       * The probability of generating an edge
       * between a pair of nodes.
       *
       * This value is ignored if <code>edges</code> is provided.
       *
       * If this value is considered, a GNP model is used
       * for generation.
       *
       * @return a value between 0.0 and 1.0.
       * @see <a href="https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FErd%C5%91s%E2%80%93R%C3%A9nyi_model">
       *     GNP model</a>
       */
      double p() default 1.0;
  
  
      /**
       * Whether to generate random weights for the graph's edges.
       *
       * If <code>false</code>, all edges will have a default edge-weight
       * of 1.0.
       *
       * @return whether random edge weights should be generated
       */
      boolean weighted() default false;
  
      /**
       * Whether self-loops are allowed.
       *
       * @return whether self-loops are allowed
       */
      boolean loops() default false;
  
      /**
       * Whether multiple edges are allowed.
       *
       * @return whether multiple edges are allowed
       */
      boolean multiGraph() default false;
  
  }
  