Exemple #1
0
            gnuplot_prog ( TCLAP::CmdLine& cmd, shared_ptr<KeyGenerators::base> _keygen ) : base ( cmd, _keygen ),
                dataNameArg ( "o", "output", "Gnuplot data (all keys with correlation coefficient) file name", true, "", "path" ),
                scriptNameArg ( "s", "script-output", "Gnuplot script output (all keys with correlation coefficient) file name", true, "", "path" ),
                confidenceDataNameArg ( "r", "confidence-output", "Gnuplot data (best and second best keys with confidence interval) file name", true, "", "path" ),
                confidenceScriptNameArg ( "g", "confidence-script-output", "Gnuplot script output (best and second best keys with confidence interval) file name", true, "", "path" ),
                alphaArg ( "a", "alpha", "The alpha to compute the (1 - alpha) confidence interval", true, 0.05, "0-1" ),
                bestPearson() {
                bestPearson = Trace::Zero(KEYNUM);
				cmd.add ( dataNameArg );
				cmd.add ( scriptNameArg );
                cmd.add ( confidenceDataNameArg );
                cmd.add ( confidenceScriptNameArg );
                cmd.add ( alphaArg );
                currentTraces = 0;
			};
int main (int argc, char *argv[]) {

  /** Set up the command line arguments */
  TCLAP::CmdLine command ("Parition a graph based on sparsification",
                          ' ');
  TCLAP::SwitchArg randomSwitch ("r",
                                 "random",
                                 "Use a random graph",
                                 command,
                                 false);
  TCLAP::SwitchArg debugSwitch ("d",
                                "debug",
                                "Print debug messages",
                                 command,
                                 false);
  TCLAP::ValueArg<double> tRatio ("t",
                                  "t-ratio",
                                  "Tau ratio; how big can Tau be w.r.t N",
                                  true,
                                  2.0,
                                  "double");
  command.add (tRatio);
  TCLAP::ValueArg<double> sRatio ("s",
                                  "s-ratio",
                                  "Ratio for num samples to take w.r.t Tau",
                                  true,
                                  1.0,
                                  "double");
  command.add (sRatio);
  TCLAP::ValueArg<int> kSteps ("k",
                               "k-steps",
                               "The number of B.F.S steps for local graph",
                               true,
                               2,
                               "int");
  command.add (kSteps);
  TCLAP::ValueArg<int> nParts ("p",
                               "n-parts",
                               "The number of partitions to create",
                               true,
                               2,
                               "int");
  command.add (nParts);
  TCLAP::ValueArg<int> rSeed ("x",
                              "r-seed",
                              "The seed for the PRNG",
                               false,
                               0,
                               "int");
  command.add (rSeed);
  TCLAP::ValueArg<bool> isErdos ("g",
                                 "r-type",
                                 "Is this a Erdos-Renyi graph",
                                  false,
                                  false,
                                  "bool");
  command.add (isErdos);
  TCLAP::ValueArg<int> nVerts ("m",
                               "n-verts",
                               "The number of vertices to generate",
                               false,
                               10,
                               "int");
  command.add (nVerts);
  TCLAP::ValueArg<int> nEdges ("n",
                               "n-edges",
                               "The number of edges to generate",
                               false,
                               10*9,
                               "int");
  command.add (nEdges);
  TCLAP::ValueArg<double> minWeight ("l",
                                     "min-weight",
                                     "Minimum edge weight",
                                     false,
                                     1.0,
                                     "double");
  command.add (minWeight);
  TCLAP::ValueArg<double> maxWeight ("u",
                                     "max-weight",
                                     "Maximum edge weight",
                                     false,
                                     1.0,
                                     "double");
  command.add (maxWeight);
  TCLAP::ValueArg<std::string> fileType ("i",
                                         "input-file",
                                         "Type of the file to read",
                                         false,
                                         "MATRIX_MARKET",
                                         "string");
  command.add (fileType);
  TCLAP::ValueArg<std::string> fileName ("f",
                                         "file-name",
                                         "Name of the file to read",
                                         false,
                                         "",
                                         "string");
  command.add (fileName);

  /* Parse the command line arguments */
  command.parse (argc, argv);

  /* Read in the command line arguments into variables */
  bool random_graph = randomSwitch.getValue ();
  bool debug = debugSwitch.getValue ();
  int k_steps = kSteps.getValue ();
  double t_ratio = tRatio.getValue ();
  double s_ratio = sRatio.getValue ();
  int n_parts = nParts.getValue ();

  char* file_type;
  char* file_name;
  int rand_seed;
  int num_vertices;
  int num_edges;
  double min_weight;
  double max_weight;

  FILE* input_fp; 
  FILE* output_fp;
  AdjacencyListType adjacency_list;

  if (random_graph) {
    std::cout << "Running on a random graph" << std::endl;

    rand_seed = rSeed.getValue ();
    num_vertices = nVerts.getValue ();
    num_edges = nEdges.getValue ();
    min_weight = minWeight.getValue ();
    max_weight = maxWeight.getValue ();

    /* Check the number of edges input */
    if (num_edges > (num_vertices*(num_vertices-1))) {
      fprintf (stderr, "A graph with %d vertices cannot have %d edges\n",
                                 num_vertices, num_edges);
      exit (1);
    } else if (n_parts > (s_ratio*num_vertices*log(num_vertices))) {
      fprintf (stderr, "Asking for too many partitions\n");
      exit (1);
    } else if (num_edges&0x1) {
      fprintf (stderr, "Currently, we only deal with even number of edges.\
 In other words, we only compute on symmetric graphs without self-loops.\n");
      exit (1);
    }

    /* Read in the graph */

    const bool is_erdos = isErdos.getValue ();

    if (is_erdos) 
      gen_erdos_renyi (num_vertices,
                       num_edges,
                       rand_seed,
                       false, /* no self-loop */
                       true, /* symmetric */
                       min_weight,
                       max_weight,
                       adjacency_list);
    else
      gen_rmat (num_vertices,
                num_edges,
                rand_seed,
                false, /* no self-loop */
                true, /* symmetric */
                min_weight,
                max_weight,
                adjacency_list);
  } else {
 void add(TCLAP::CmdLine &cmd) {
     cmd.add(outputArg);
     cmd.add(threadsArg);
     cmd.add(heightArg);
     cmd.add(widthArg);
 }
Exemple #4
0
			aes128round1 ( TCLAP::CmdLine& cmd, shared_ptr<KeyGenerators::base> _keygen ) : base ( cmd, _keygen ),
				whichsboxArg ( "b", "sbox", "From which SBOX output should I start to correlate?", false, 0, "0-15" ),
				sboxnumArg ( "v", "sboxnum", "How many consecutive SBOXes should I consider?", false, 1, "1-8" ) {
				cmd.add ( whichsboxArg );
				cmd.add ( sboxnumArg );
			}