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);
}
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 );
}