AENC/switchchain Changeset - c051e4ae1c78 · Centrum Wiskunde & Informatica (CWI)

Changeset - c051e4ae1c78

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Tom Bannink - 8 years ago 2017-07-11 11:52:23
tom.bannink@cwi.nl

Update exponent cpp file

3 files changed with 76 insertions and 152 deletions:

cpp/Makefile

cpp/switchchain_exponent.cpp

cpp/switchchain_exponent_new.cpp

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cpp/Makefile

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@@ @@ -16,7 +16,6 @@ TARGETS += switchchain_ccm_initialtris @@
 TARGETS += switchchain_ccm_timeevol
 TARGETS += switchchain_properties
 TARGETS += switchchain_exponent
 TARGETS += switchchain_exponent_new
 TARGETS += switchchain_mixingtime
 TARGETS += switchchain_spectrum
 TARGETS += switchchain_successrates

cpp/switchchain_exponent.cpp

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 #include "exports.hpp"
 #include "graph.hpp"
 #include "graph_powerlaw.hpp"
 #include "graph_spectrum.hpp"
 #include "switchchain.hpp"
 #include <algorithm>
 #include <fstream>
@@ @@ -9,28 +10,69 @@ @@
 #include <random>
 #include <vector>
 int main() {
     // Generate a random degree sequence
     std::mt19937 rng(std::random_device{}());
 int main(int argc, char* argv[]) {
     // Simulation parameters
     const int numVerticesMin = 10000;
     const int numVerticesMax = 50000;
     const int numVerticesStep = 10000;
     // Goal:
     // Degrees follow a power-law distribution with some parameter tau
     // Expect:  #tri = const * n^{ something }
     // The goal is to find the 'something' by finding the number of triangles
     // for different values of n and tau
     float tauValues[] = {2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f};
     //float tauValues[] = {2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f};
     float tauValues[] = {2.1f, 2.3f, 2.5f, 2.7f, 2.9f};
     Graph g;
     const int totalDegreeSamples = 1000;
     auto getMixingTime = [](int n, float tau) {
         return int(50.0f * (50.0f - 5.0f * (tau - 2.0f)) * n);
     };
     auto getMeasurements = [](int n, float tau) {
         (void)n;
         (void)tau;
         return 500;
     };
     auto getMeasureSkip = [](int n, float tau) {
         (void)tau;
         return 30 * n; // Take a sample every ... steps
     };
     // Output file
     std::ofstream outfile;
     if (argc >= 2)
         outfile.open(argv[1]);
     else
         outfile.open("graphdata_exponent_new.m");
     if (!outfile.is_open()) {
         std::cout << "ERROR: Could not open output file.\n";
         return 1;
+    }
     // Output Mathematica-style comment to indicate file contents
     outfile << "(*\n";
     outfile << "n from " << numVerticesMin << " to " << numVerticesMax
             << " step " << numVerticesStep << std::endl;
     outfile << "tauValues: " << tauValues << std::endl;
     outfile << "degreeSamples: " << totalDegreeSamples << std::endl;
     outfile << "mixingTime: 50 * (50 - 5 (tau - 2)) n\n";
     outfile << "measurements: 500\n";
     outfile << "measureSkip: 30 n\n";
     outfile << "data:\n";
     outfile << "1: {n,tau}\n";
     outfile << "2: avgTriangles\n";
     outfile << "*)" << std::endl;
     std::ofstream outfile("graphdata_exponent_hightau.m");
     outfile << '{';
     // Mathematica does not accept normal scientific notation
     outfile << std::fixed;
     outfile << '{' << '\n';
     bool outputComma = false;
     for (int numVertices = 1000; numVertices <= 10000; numVertices += 1000) {
     std::mt19937 rng(std::random_device{}());
     Graph g;
     for (int numVertices = numVerticesMin; numVertices <= numVerticesMax;
          numVertices += numVerticesStep) {
         for (float tau : tauValues) {
             // For a single n,tau take samples over several instances of
             // the degree distribution.
             for (int degreeSample = 0; degreeSample < 2000; ++degreeSample) {
             for (int degreeSample = 0; degreeSample < totalDegreeSamples;
                  ++degreeSample) {
                 DegreeSequence ds;
                 generatePowerlawGraph(numVertices, tau, g, ds, rng);
@@ @@ -40,49 +82,44 @@ int main() { @@
                     return 1;
+                }
                 std::cout << "Running n = " << numVertices << ", tau = " << tau
                           << ". \t" << std::flush;
                 std::cout << "Running (n,tau) = (" << numVertices << ','
                           << tau << "). " << std::flush;
                 int mixingTime = 32*(32.0f - 15.0f*(tau - 2.0f)) * numVertices; //40000;
                 constexpr int measurements = 50;
                 constexpr int measureSkip =
 ; // Take a sample every ... steps
                 // Mix
                 int mixingTime = getMixingTime(numVertices, tau);
                 for (int i = 0; i < mixingTime; ++i) {
                     chain.doMove();
+                }
-                int movesDone = 0;
+                std::cout << "Mixing done. " << std::flush;
                 long long trianglesTotal = 0;
                 chain.g.getTrackedTriangles() = chain.g.countTriangles();
                 for (int i = 0; i < mixingTime; ++i) {
                     if (chain.doMove())
                         ++movesDone;
+                }
                 int measurements = getMeasurements(numVertices, tau);
                 int measureSkip = getMeasureSkip(numVertices, tau);
                 for (int i = 0; i < measurements; ++i) {
                     for (int j = 0; j < measureSkip; ++j)
                         if (chain.doMove())
                             ++movesDone;
                     trianglesTotal += chain.g.countTriangles();
                         chain.doMove(true);
                     trianglesTotal += chain.g.getTrackedTriangles();
+                }
                 float avgTriangles =
                     float(trianglesTotal) / float(measurements);
                 std::cout << movesDone << '/' << mixingTime + measurements * measureSkip
                           << " moves succeeded ("
                           << 100.0f * float(movesDone) /
                                  float(mixingTime + measurements * measureSkip)
                           << "%).";
                 //std::cout << std::endl;
                 std::cout << "Measuring done." << std::flush;
                 if (outputComma)
                     outfile << ',' << '\n';
                 outputComma = true;
                 float avgTriangles =
                     float(trianglesTotal) / float(measurements);
                 outfile << '{' << '{' << numVertices << ',' << tau << '}';
                 outfile << ',' << avgTriangles << '}' << std::flush;
                 outfile << ',' << avgTriangles;
                 outfile << '}' << std::flush;
                 std::cout << std::endl;
+                std::cout << "Output done." << std::endl;
+            }
+        }
+    }
     outfile << '}';
+    outfile << ',' << '}';
     return 0;
+}

cpp/switchchain_exponent_new.cpp

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