diff options
author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2019-10-02 10:46:17 -0400 |
---|---|---|
committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2019-10-02 10:46:17 -0400 |
commit | 47a7c96d1848e3a3edbcfb17e645790d31c01a67 (patch) | |
tree | e45bf1cc6c57338cdd064acf0aa8e7a210d306fb /src/measurements.cpp | |
parent | 172d281943371a3aaa04a1a4d564731178e782e7 (diff) | |
download | fuse_networks-47a7c96d1848e3a3edbcfb17e645790d31c01a67.tar.gz fuse_networks-47a7c96d1848e3a3edbcfb17e645790d31c01a67.tar.bz2 fuse_networks-47a7c96d1848e3a3edbcfb17e645790d31c01a67.zip |
cleaned up libraries and reduced number of binaries
Diffstat (limited to 'src/measurements.cpp')
-rw-r--r-- | src/measurements.cpp | 162 |
1 files changed, 79 insertions, 83 deletions
diff --git a/src/measurements.cpp b/src/measurements.cpp index fd9c8a0..1a937be 100644 --- a/src/measurements.cpp +++ b/src/measurements.cpp @@ -1,18 +1,16 @@ #include "measurements.hpp" -#include <iostream> #include <cstdio> +#include <iostream> -class badcycleException: public std::exception -{ - virtual const char* what() const throw() - { +class badcycleException : public std::exception { + virtual const char* what() const throw() { return "Could not find a valid cycle on the broken system."; } } badcycleex; - -void update_distribution_file(std::string id, const std::vector<uint64_t>& data, std::string model_string) { +void update_distribution_file(std::string id, const std::vector<uint64_t>& data, + std::string model_string) { std::string filename = model_string + id + ".dat"; std::ifstream file(filename); @@ -31,7 +29,7 @@ void update_distribution_file(std::string id, const std::vector<uint64_t>& data, std::ofstream file_out(filename); for (unsigned i = 0; i < data.size(); i++) { - file_out <<std::fixed<< data_old[i] + data[i] << " "; + file_out << std::fixed << data_old[i] + data[i] << " "; } file_out.close(); @@ -59,11 +57,13 @@ void update_field_file(std::string id, const std::vector<T>& data, std::string m file_out.close(); } - -fftw_complex* data_transform(unsigned Mx, unsigned My, fftw_plan forward_plan, double *fftw_forward_in, fftw_complex *fftw_forward_out) { +/* +fftw_complex* data_transform(unsigned Mx, unsigned My, fftw_plan forward_plan, +double *fftw_forward_in, fftw_complex *fftw_forward_out) { fftw_execute(forward_plan); - fftw_complex* output = (fftw_complex*)malloc(Mx * (My / 2 + 1) * sizeof(fftw_complex)); + fftw_complex* output = (fftw_complex*)malloc(Mx * (My / 2 + 1) * +sizeof(fftw_complex)); for (unsigned i = 0; i < Mx * (My / 2 + 1); i++) { output[i][0] = fftw_forward_out[i][0]; @@ -72,24 +72,31 @@ fftw_complex* data_transform(unsigned Mx, unsigned My, fftw_plan forward_plan, d return output; } +*/ +/* template <class T> -void correlation(unsigned Mx, unsigned My, std::vector<std::vector<T>>& data, const fftw_complex* tx1, const fftw_complex* tx2, fftw_plan reverse_plan, fftw_complex *fftw_reverse_in, double *fftw_reverse_out) { - for (unsigned i = 0; i < Mx * (My / 2 + 1); i++) { - fftw_reverse_in[i][0] = tx1[i][0] * tx2[i][0] + tx1[i][1] * tx2[i][1]; - fftw_reverse_in[i][1] = tx1[i][0] * tx2[i][1] - tx1[i][1] * tx2[i][0]; +void correlation(unsigned Mx, unsigned My, std::vector<std::vector<T>>& data, +const fftw_complex* tx1, const fftw_complex* tx2, fftw_plan reverse_plan, +fftw_complex *fftw_reverse_in, double *fftw_reverse_out) { for (unsigned i = 0; +i < Mx * (My / 2 + 1); i++) { fftw_reverse_in[i][0] = tx1[i][0] * tx2[i][0] + +tx1[i][1] * tx2[i][1]; fftw_reverse_in[i][1] = tx1[i][0] * tx2[i][1] - tx1[i][1] +* tx2[i][0]; } fftw_execute(reverse_plan); for (unsigned j = 0; j < data.size(); j++) { for (unsigned i = 0; i < (Mx / 2 + 1) * (My / 2 + 1); i++) { - data[j][i] += (T)pow(fftw_reverse_out[Mx * (i / (Mx / 2 + 1)) + i % (Mx / 2 + 1)] / (Mx * My), j + 1); + data[j][i] += (T)pow(fftw_reverse_out[Mx * (i / (Mx / 2 + 1)) + i % (Mx / +2 + 1)] / (Mx * My), j + 1); } } } +*/ -void autocorrelation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<uint64_t>& data, const std::list<graph::coordinate>& pos, std::array<unsigned, 2> count) { +void autocorrelation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<uint64_t>& data, + const std::list<graph::coordinate>& pos, std::array<unsigned, 2> count) { for (std::list<graph::coordinate>::const_iterator it1 = pos.begin(); it1 != pos.end(); it1++) { for (std::list<graph::coordinate>::const_iterator it2 = it1; it2 != pos.end(); it2++) { double Δx_tmp = fabs(it1->x - it2->x); @@ -107,9 +114,12 @@ void autocorrelation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vecto } } -void correlation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<uint64_t>& data, const std::list<graph::coordinate>& pos1, const std::list<graph::coordinate>& pos2) { +void correlation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<uint64_t>& data, + const std::list<graph::coordinate>& pos1, + const std::list<graph::coordinate>& pos2) { for (std::list<graph::coordinate>::const_iterator it1 = pos1.begin(); it1 != pos1.end(); it1++) { - for (std::list<graph::coordinate>::const_iterator it2 = pos2.begin(); it2 != pos2.end(); it2++) { + for (std::list<graph::coordinate>::const_iterator it2 = pos2.begin(); it2 != pos2.end(); + it2++) { double Δx_tmp = fabs(it1->x - it2->x); double Δx = Δx_tmp < Lx / 2 ? Δx_tmp : Lx - Δx_tmp; @@ -120,82 +130,58 @@ void correlation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<ui } } } - +/* template <class T> -void autocorrelation(unsigned Mx, unsigned My, std::vector<std::vector<T>>& out_data, fftw_plan forward_plan, double *fftw_forward_in, fftw_complex *fftw_forward_out, fftw_plan reverse_plan, fftw_complex *fftw_reverse_in, double *fftw_reverse_out) { - fftw_execute(forward_plan); +void autocorrelation(unsigned Mx, unsigned My, std::vector<std::vector<T>>& +out_data, fftw_plan forward_plan, double *fftw_forward_in, fftw_complex +*fftw_forward_out, fftw_plan reverse_plan, fftw_complex *fftw_reverse_in, double +*fftw_reverse_out) { fftw_execute(forward_plan); for (unsigned i = 0; i < My * (Mx / 2 + 1); i++) { - fftw_reverse_in[i][0] = pow(fftw_forward_out[i][0], 2) + pow(fftw_forward_out[i][1], 2); - fftw_reverse_in[i][1] = 0.0; + fftw_reverse_in[i][0] = pow(fftw_forward_out[i][0], 2) + +pow(fftw_forward_out[i][1], 2); fftw_reverse_in[i][1] = 0.0; } fftw_execute(reverse_plan); for (unsigned j = 0; j < out_data.size(); j++) { for (unsigned i = 0; i < (Mx / 2 + 1) * (My / 2 + 1); i++) { - out_data[j][i] += (T)pow(fftw_reverse_out[Mx * (i / (Mx / 2 + 1)) + i % (Mx / 2 + 1)] / (Mx * My), j + 1); + out_data[j][i] += (T)pow(fftw_reverse_out[Mx * (i / (Mx / 2 + 1)) + i % +(Mx / 2 + 1)] / (Mx * My), j + 1); } } } +*/ unsigned edge_r_to_ind(graph::coordinate r, double Lx, double Ly, unsigned Mx, unsigned My) { return floor((Mx * r.x) / Lx) + Mx * floor((My * r.y) / Ly); } -ma::ma(unsigned n, double a, double beta, double weight) : - sn(2 * n), - ss(2 * n), - sm(2 * n), - sl(2 * n), - sb(n + 1), - sd(3 * n), - sa(3 * n), - sA(3 * n), - si(10000), - sI(10000), - cn(pow((unsigned)sqrt(n), 2)), - cs(pow((unsigned)sqrt(n), 2)), - cm(pow((unsigned)sqrt(n), 2)), - cl(pow((unsigned)sqrt(n), 2)), - cb(pow((unsigned)sqrt(n), 2)), - ca(pow((unsigned)sqrt(n), 2)), - cA(pow((unsigned)sqrt(n), 2)), - cp(pow((unsigned)sqrt(n), 2)), - cq(pow((unsigned)sqrt(n), 2)) -{ +ma::ma(unsigned n, double a, double beta, double weight) + : sn(2 * n), ss(2 * n), sm(2 * n), sl(2 * n), sb(n + 1), sd(3 * n), sa(3 * n), sA(3 * n), + si(10000), sI(10000), cn(pow((unsigned)sqrt(n), 2)), cs(pow((unsigned)sqrt(n), 2)), + cm(pow((unsigned)sqrt(n), 2)), cl(pow((unsigned)sqrt(n), 2)), cb(pow((unsigned)sqrt(n), 2)), + ca(pow((unsigned)sqrt(n), 2)), cA(pow((unsigned)sqrt(n), 2)), cp(pow((unsigned)sqrt(n), 2)), + cq(pow((unsigned)sqrt(n), 2)) { if (beta != 0.0) { - model_string = "fracture_" + std::to_string(n) + "_" + std::to_string(a) + "_" + std::to_string(beta) + "_" + std::to_string(weight) + "_"; + model_string = "fracture_" + std::to_string(n) + "_" + std::to_string(a) + "_" + + std::to_string(beta) + "_" + std::to_string(weight) + "_"; } else { - model_string = "fracture_" + std::to_string(n) + "_" + std::to_string(a) + "_INF_" + std::to_string(weight) + "_"; + model_string = "fracture_" + std::to_string(n) + "_" + std::to_string(a) + "_INF_" + + std::to_string(weight) + "_"; } } -ma::ma(unsigned Lx, unsigned Ly, double beta, double weight) : - sn(Lx * Ly / 2), - ss(Lx * Ly / 2), - sm(Lx * Ly / 2), - sl(Lx * Ly / 2), - sb(Lx * Ly / 2 + 1), - sd(Lx * Ly), - sa(Lx * Ly), - sA(Lx * Ly), - si(10000), - sI(10000), - cn(Lx * Ly), - cs(Lx * Ly), - cm(Lx * Ly), - cl(Lx * Ly), - cb(Lx * Ly), - ca(Lx * Ly), - cA(Lx * Ly), - cp(Lx * Ly), - cq(Lx * Ly) -{ +ma::ma(unsigned Lx, unsigned Ly, double beta, double weight) + : sn(Lx * Ly / 2), ss(Lx * Ly / 2), sm(Lx * Ly / 2), sl(Lx * Ly / 2), sb(Lx * Ly / 2 + 1), + sd(Lx * Ly), sa(Lx * Ly), sA(Lx * Ly), si(10000), sI(10000), cn(Lx * Ly), cs(Lx * Ly), + cm(Lx * Ly), cl(Lx * Ly), cb(Lx * Ly), ca(Lx * Ly), cA(Lx * Ly), cp(Lx * Ly), cq(Lx * Ly) { if (beta != 0.0) { - model_string = "fracture_" + std::to_string(Lx) + "_" + std::to_string(Ly) + "_" + std::to_string(beta) + "_" + std::to_string(weight) + "_"; + model_string = "fracture_" + std::to_string(Lx) + "_" + std::to_string(Ly) + "_" + + std::to_string(beta) + "_" + std::to_string(weight) + "_"; } else { - model_string = "fracture_" + std::to_string(Lx) + "_" + std::to_string(Ly) + "_INF_" + std::to_string(weight) + "_"; + model_string = "fracture_" + std::to_string(Lx) + "_" + std::to_string(Ly) + "_INF_" + + std::to_string(weight) + "_"; } } @@ -237,9 +223,11 @@ void ma::bond_broken(const network& net, const current_info& cur, unsigned i) { } for (unsigned j = 0; j < cur.currents.size(); j++) { - if (logl(cur.currents[j]) >= -100 && logl(cur.currents[j]) < 0 && (!net.backbone[j] || j == i)) { + if (logl(cur.currents[j]) >= -100 && logl(cur.currents[j]) < 0 && + (!net.backbone[j] || j == i)) { si[(unsigned)(10000 * (logl(cur.currents[j]) + 100) / 100)]++; - } else if (logl(cur.currents[j]) >= -100 && logl(cur.currents[j]) < 0 && net.backbone[j] && j != i) { + } else if (logl(cur.currents[j]) >= -100 && logl(cur.currents[j]) < 0 && net.backbone[j] && + j != i) { sI[(unsigned)(10000 * (logl(cur.currents[j]) + 100) / 100)]++; } } @@ -247,7 +235,7 @@ void ma::bond_broken(const network& net, const current_info& cur, unsigned i) { num++; } -void ma::post_fracture(network &n) { +void ma::post_fracture(network& n) { auto crack = find_minimal_crack(n, avalanches.back().back()); std::list<graph::coordinate> cl_cs; @@ -255,7 +243,8 @@ void ma::post_fracture(network &n) { for (unsigned e : crack.second) { cl_cs.push_back(n.G.dual_edges[e].r); } - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cl.size()), 2 * sqrt(cl.size()), cl, cl_cs, crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cl.size()), 2 * sqrt(cl.size()), cl, cl_cs, + crack.first); std::vector<std::list<graph::coordinate>> components(n.G.dual_vertices.size()); @@ -269,14 +258,18 @@ void ma::post_fracture(network &n) { if (components[i].size() > 0) { if (i != crack_component) { sm[components[i].size() - 1]++; - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cm.size()), 2 * sqrt(cm.size()), cm, components[i], crack.first); - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cp.size()), 2 * sqrt(cp.size()), cp, components[i], {0, 1}); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cm.size()), 2 * sqrt(cm.size()), cm, + components[i], crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cp.size()), 2 * sqrt(cp.size()), cp, + components[i], {0, 1}); } else { ss[components[i].size() - 1]++; - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cs.size()), 2 * sqrt(cs.size()), cs, components[i], crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cs.size()), 2 * sqrt(cs.size()), cs, + components[i], crack.first); } sn[components[i].size() - 1]++; - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cn.size()), 2 * sqrt(cn.size()), cn, components[i], crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cn.size()), 2 * sqrt(cn.size()), cn, + components[i], crack.first); } } @@ -301,7 +294,8 @@ void ma::post_fracture(network &n) { } sb[bb_size]++; - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cb.size()), 2 * sqrt(cb.size()), cb, cb_co, crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cb.size()), 2 * sqrt(cb.size()), cb, cb_co, + crack.first); auto av_it = avalanches.rbegin(); av_it++; @@ -312,8 +306,9 @@ void ma::post_fracture(network &n) { for (unsigned e : (*av_it)) { ca_co.push_back(n.G.edges[e].r); } - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(ca.size()), 2 * sqrt(ca.size()), ca, ca_co, crack.first); - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cq.size()), 2 * sqrt(cq.size()), cq, ca_co, {0,1}); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(ca.size()), 2 * sqrt(ca.size()), ca, ca_co, + crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cq.size()), 2 * sqrt(cq.size()), cq, ca_co, {0, 1}); av_it++; } @@ -322,7 +317,8 @@ void ma::post_fracture(network &n) { for (unsigned e : avalanches.back()) { cA_co.push_back(n.G.edges[e].r); } - autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cA.size()), 2 * sqrt(cA.size()), cA, cA_co, crack.first); + autocorrelation2(n.G.L.x, n.G.L.y, 2 * sqrt(cA.size()), 2 * sqrt(cA.size()), cA, cA_co, + crack.first); sd[num - 1]++; } |