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-rw-r--r--examples/src/tools/CMakeLists.txt9
-rw-r--r--examples/src/tools/analyze_correlations.cpp486
2 files changed, 0 insertions, 495 deletions
diff --git a/examples/src/tools/CMakeLists.txt b/examples/src/tools/CMakeLists.txt
deleted file mode 100644
index 4a6c1a0..0000000
--- a/examples/src/tools/CMakeLists.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-
-find_library(fftw REQUIRED NAMES fftw3)
-
-add_executable(analyze_correlations analyze_correlations.cpp)
-
-target_link_libraries(analyze_correlations fftw3 wolff)
-
-install(TARGETS analyze_correlations DESTINATION ${CMAKE_INSTALL_BINDIR} OPTIONAL)
-
diff --git a/examples/src/tools/analyze_correlations.cpp b/examples/src/tools/analyze_correlations.cpp
deleted file mode 100644
index abeaff3..0000000
--- a/examples/src/tools/analyze_correlations.cpp
+++ /dev/null
@@ -1,486 +0,0 @@
-
-#include <wolff/types.h>
-#include <cmath>
-#include <cstring>
-#include <stdio.h>
-#include <stdlib.h>
-#include <getopt.h>
-#include <fftw3.h>
-
-template <class T>
-double mean(int N, T *data) {
- double total = 0;
- for (int i = 0; i < N; i++) {
- total += (double)data[i];
- }
-
- return total / N;
-}
-
-double squared_mean(int N, double *data) {
- double total = 0;
- for (int i = 0; i < N; i++) {
- total += pow(data[i], 2);
- }
-
- return total / N;
-}
-
-double central_moment(int N, double *data, double mean, int m) {
- double total = 0;
- for (int i = 0; i < N; i++) {
- total += pow(data[i] - mean, m);
- }
-
- return total / N;
-}
-
-void compute_OO(int N, fftw_plan forward_plan, double *forward_data, fftw_plan reverse_plan, double *reverse_data) {
-
- fftw_execute(forward_plan);
-
- reverse_data[0] = forward_data[0] * forward_data[0];
- reverse_data[N / 2] = forward_data[N/2] * forward_data[N/2];
-
- for (count_t i = 1; i < N / 2; i++) {
- reverse_data[i] = pow(forward_data[i], 2) + pow(forward_data[N - i], 2);
- reverse_data[N - i] = 0;
- }
-
- fftw_execute(reverse_plan);
-
-}
-
-double finite_energy(q_t nb, double *J, q_t q, double *H, v_t nv, v_t ne, uint32_t *bo, uint32_t *so) {
- double energy = 0;
-
- v_t tot = 0;
- for (q_t i = 0; i < nb - 1; i++) {
- energy -= J[i] * bo[i];
- tot += bo[i];
- }
-
- energy -= J[nb - 1] * (ne - tot);
-
- tot = 0;
- for (q_t i = 0; i < q - 1; i++) {
- energy -= H[i] * so[i];
- tot += so[i];
- }
-
- energy -= H[q - 1] * (nv - tot);
-
- return energy;
-}
-
-int main (int argc, char *argv[]) {
- count_t drop = (count_t)1e4;
- count_t length = (count_t)1e4;
- bool speedy_drop = false;
- bool from_stdin = false;
- bool oldstyle = false;
-
- int opt;
-
- while ((opt = getopt(argc, argv, "d:l:spo")) != -1) {
- switch (opt) {
- case 'd':
- drop = (count_t)atof(optarg);
- break;
- case 'l':
- length = (count_t)atof(optarg);
- break;
- case 's':
- speedy_drop = true;
- break;
- case 'p':
- from_stdin = true;
- break;
- case 'o':
- oldstyle = true;
- break;
- default:
- exit(EXIT_FAILURE);
- }
- }
- FILE *metadata;
-
- fftw_set_timelimit(1);
-
- if (from_stdin) {
- metadata = stdin;
- } else {
- metadata = fopen("wolff_metadata.txt", "r");
- }
-
- if (metadata == NULL) {
- printf("Metadata file not found. Make sure you are in the correct directory!\n");
- exit(EXIT_FAILURE);
- }
-
- unsigned long id;
- char *model = (char *)malloc(32 * sizeof(char));
-
- if (model == NULL) {
- printf("Malloc failed.\n");
- exit(EXIT_FAILURE);
- }
-
- q_t q;
- D_t D;
- L_t L;
- v_t nv, ne;
-
- while (EOF != fscanf(metadata, "<| \"ID\" -> %lu, \"MODEL\" -> \"%[^\"]\", \"q\" -> %" SCNq ", \"D\" -> %" SCND ", \"L\" -> %" SCNL ", \"NV\" -> %" SCNv ", \"NE\" -> %" SCNv ", ", &id, model, &q, &D, &L, &nv, &ne)) {
-
- printf("%lu: Processing...\n", id);
-
-// bool is_finite = 0 == strcmp(model, "ISING") || 0 == strcmp(model, "POTTS") || 0 == strcmp(model, "CLOCK");
-
- if (oldstyle) {
- q_t nb;
- double T;
- fscanf(metadata, "\"NB\" -> %" SCNq ", \"T\" -> %lf, \"J\" -> {", &nb, &T);
- double *J = (double *)malloc(nb * sizeof(double));
- double *H = (double *)malloc(q * sizeof(double));
-
- if (J == NULL || H == NULL) {
- printf("%lu: Malloc failed.\n", id);
- break;
- }
-
- for (q_t i = 0; i < nb - 1; i++) {
- fscanf(metadata, "%lf, ", &(J[i]));
- }
- fscanf(metadata, "%lf}, \"H\" -> {", &(J[nb - 1]));
- for (q_t i = 0; i < q - 1; i++) {
- fscanf(metadata, "%lf, ", &(H[i]));
- }
- fscanf(metadata, "%lf} |>\n", &(H[q - 1]));
-
- char *filename_M = (char *)malloc(128 * sizeof(char));
- char *filename_B = (char *)malloc(128 * sizeof(char));
- char *filename_S = (char *)malloc(128 * sizeof(char));
-
- if (filename_M == NULL || filename_B == NULL || filename_S == NULL) {
- printf("%lu: Malloc failed.\n", id);
- break;
- }
-
- sprintf(filename_M, "wolff_%lu_M.dat", id);
- sprintf(filename_B, "wolff_%lu_B.dat", id);
- sprintf(filename_S, "wolff_%lu_S.dat", id);
-
- FILE *file_M = fopen(filename_M, "rb");
- FILE *file_B = fopen(filename_B, "rb");
- FILE *file_S = fopen(filename_S, "rb");
-
- if (file_M == NULL || file_B == NULL || file_S == NULL) {
- printf("%lu: Opening data file failed.\n", id);
- break;
- }
-
- fseek(file_S, 0, SEEK_END);
- unsigned long N = ftell(file_S) / sizeof(uint32_t);
- fseek(file_S, 0, SEEK_SET);
-
- if (speedy_drop) {
- drop = N - pow(2, floor(log(N) / log(2)));
- } else {
- if (N % 2 == 1 && drop % 2 == 0) {
- drop++; // make sure M is even
- }
- }
-
- if (N <= drop) {
- printf("\033[F%lu: Number of steps %lu is less than %" PRIcount ", nothing done.\n", id, N, drop);
- } else {
- int M = N - drop;
-
- double M_f = (double)M;
-
- if (length > M) {
- length = M;
- }
-
- double *forward_data = (double *)fftw_malloc(M * sizeof(double));
- fftw_plan forward_plan = fftw_plan_r2r_1d(M, forward_data, forward_data, FFTW_R2HC, 0);
- double *reverse_data = (double *)fftw_malloc(M * sizeof(double));
- fftw_plan reverse_plan = fftw_plan_r2r_1d(M, reverse_data, reverse_data, FFTW_HC2R, 0);
-
-
- uint32_t *data_S = (uint32_t *)malloc(N * sizeof(uint32_t));
- fread(data_S, N, sizeof(uint32_t), file_S);
- for (count_t i = 0; i < M; i++) {
- forward_data[i] = (double)data_S[drop + i];
- }
- free(data_S);
- double mean_S = mean(M, forward_data);
- double squaredMean_S = squared_mean(M, forward_data);
- double moment2_S = central_moment(M, forward_data, mean_S, 2);
- double moment4_S = central_moment(M, forward_data, mean_S, 4);
-
- compute_OO(M, forward_plan, forward_data, reverse_plan, reverse_data);
-
- sprintf(filename_S, "wolff_%lu_S_OO.dat", id);
-
- FILE *file_S = fopen(filename_S, "wb");
- fwrite(&M_f, sizeof(double), 1, file_S);
- fwrite(&mean_S, sizeof(double), 1, file_S);
- fwrite(&squaredMean_S, sizeof(double), 1, file_S);
- fwrite(&moment2_S, sizeof(double), 1, file_S);
- fwrite(&moment4_S, sizeof(double), 1, file_S);
- fwrite(reverse_data, sizeof(double), length, file_S);
- fclose(file_S);
-
- uint32_t *data_B = (uint32_t *)malloc((nb - 1) * N * sizeof(uint32_t));
- uint32_t *data_M = (uint32_t *)malloc((q - 1) * N * sizeof(uint32_t));
- fread(data_B, N * (nb - 1), sizeof(uint32_t), file_B);
- fread(data_M, N * (q - 1), sizeof(uint32_t), file_M);
-
- for (count_t i = 0; i < M; i++) {
- forward_data[i] = finite_energy(nb, J, q, H, nv, ne, data_B + (nb - 1) * (drop + i), data_M + (q - 1) * (drop + i));
- }
-
- double mean_E = mean(M, forward_data);
- double squaredMean_E = squared_mean(M, forward_data);
- double moment2_E = central_moment(M, forward_data, mean_E, 2);
- double moment4_E = central_moment(M, forward_data, mean_E, 4);
-
- free(data_B);
- free(data_M);
-
- compute_OO(M, forward_plan, forward_data, reverse_plan, reverse_data);
-
- sprintf(filename_B, "wolff_%lu_E_OO.dat", id);
-
- FILE *file_E = fopen(filename_B, "wb");
- fwrite(&M_f, sizeof(double), 1, file_E);
- fwrite(&mean_E, sizeof(double), 1, file_E);
- fwrite(&squaredMean_E, sizeof(double), 1, file_E);
- fwrite(&moment2_E, sizeof(double), 1, file_E);
- fwrite(&moment4_E, sizeof(double), 1, file_E);
- fwrite(reverse_data, sizeof(double), length, file_E);
- fclose(file_E);
-
- printf("\033[F%lu: Correlation functions for %d steps written.\n", id, M);
-
- fftw_destroy_plan(forward_plan);
- fftw_destroy_plan(reverse_plan);
- fftw_free(forward_data);
- fftw_free(reverse_data);
-
- }
-
- fclose(file_M);
- fclose(file_B);
- fclose(file_S);
-
- free(J);
- free(H);
-
- free(filename_S);
- free(filename_B);
- free(filename_M);
-
- } else {
- char *junk = (char *)malloc(1024 * sizeof(char));
- fscanf(metadata, "%[^\n]\n", junk); // throw away the rest of the line, we don't need it
- free(junk);
-
- char *filename_E = (char *)malloc(128 * sizeof(char));
- char *filename_F = (char *)malloc(128 * sizeof(char));
- char *filename_M = (char *)malloc(128 * sizeof(char));
- char *filename_S = (char *)malloc(128 * sizeof(char));
-
- sprintf(filename_E, "wolff_%lu_E.dat", id);
- sprintf(filename_F, "wolff_%lu_F.dat", id);
- sprintf(filename_M, "wolff_%lu_M.dat", id);
- sprintf(filename_S, "wolff_%lu_S.dat", id);
-
- FILE *file_E = fopen(filename_E, "rb");
- FILE *file_F = fopen(filename_F, "rb");
- FILE *file_M = fopen(filename_M, "rb");
- FILE *file_S = fopen(filename_S, "rb");
-
- fseek(file_S, 0, SEEK_END);
- unsigned long N = ftell(file_S) / sizeof(uint32_t);
- fseek(file_S, 0, SEEK_SET);
-
- if (speedy_drop) {
- drop = N - pow(2, floor(log(N) / log(2)));
- } else {
- if (N % 2 == 1 && drop % 2 == 0) {
- drop++; // make sure M is even
- }
- }
-
- if (N <= drop) {
- printf("\033[F%lu: Number of steps %lu is less than %" PRIcount ", nothing done.\n", id, N, drop);
- } else {
- int M = N - drop;
- double M_f = (double)M;
-
- if (length > M) {
- length = M;
- }
-
- double *forward_data = (double *)fftw_malloc(M * sizeof(double));
- fftw_plan forward_plan = fftw_plan_r2r_1d(M, forward_data, forward_data, FFTW_R2HC, 0);
-
- double *reverse_data = (double *)fftw_malloc(M * sizeof(double));
- fftw_plan reverse_plan = fftw_plan_r2r_1d(M, reverse_data, reverse_data, FFTW_HC2R, 0);
-
- if (file_S != NULL) {
- uint32_t *data_S = (uint32_t *)malloc(N * sizeof(uint32_t));
-
- fread(data_S, sizeof(uint32_t), N, file_S);
- fclose(file_S);
-
- for (int i = 0; i < M; i++) {
- forward_data[i] = (double)data_S[drop + i];
- }
- free(data_S);
-
- double mean_S = mean(M, forward_data);
- double squaredMean_S = squared_mean(M, forward_data);
- double moment2_S = central_moment(M, forward_data, mean_S, 2);
- double moment4_S = central_moment(M, forward_data, mean_S, 4);
-
- compute_OO(M, forward_plan, forward_data, reverse_plan, reverse_data);
-
- sprintf(filename_S, "wolff_%lu_S_OO.dat", id);
- FILE *file_S_new = fopen(filename_S, "wb");
- fwrite(&M_f, sizeof(double), 1, file_S_new);
- fwrite(&mean_S, sizeof(double), 1, file_S_new);
- fwrite(&squaredMean_S, sizeof(double), 1, file_S_new);
- fwrite(&moment2_S, sizeof(double), 1, file_S_new);
- fwrite(&moment4_S, sizeof(double), 1, file_S_new);
- fwrite(reverse_data, sizeof(double), length, file_S_new);
- fclose(file_S_new);
- }
- if (file_F != NULL) {
- float *data_F = (float *)malloc(N * sizeof(float));
-
- fread(data_F, sizeof(float), N, file_F);
- fclose(file_F);
-
- for (int i = 0; i < M; i++) {
- forward_data[i] = (double)data_F[drop + i];
- }
- free(data_F);
-
- double mean_F = mean(M, forward_data);
- double squaredMean_F = squared_mean(M, forward_data);
- double moment2_F = central_moment(M, forward_data, mean_F, 2);
- double moment4_F = central_moment(M, forward_data, mean_F, 4);
-
- compute_OO(M, forward_plan, forward_data, reverse_plan, reverse_data);
-
- sprintf(filename_F, "wolff_%lu_F_OO.dat", id);
- FILE *file_F_new = fopen(filename_F, "wb");
- fwrite(&M_f, sizeof(double), 1, file_F_new);
- fwrite(&mean_F, sizeof(double), 1, file_F_new);
- fwrite(&squaredMean_F, sizeof(double), 1, file_F_new);
- fwrite(&moment2_F, sizeof(double), 1, file_F_new);
- fwrite(&moment4_F, sizeof(double), 1, file_F_new);
- fwrite(reverse_data, sizeof(double), length, file_F_new);
- fclose(file_F_new);
- }
- if (file_E != NULL) {
- float *data_E = (float *)malloc(N * sizeof(float));
-
- fread(data_E, sizeof(float), N, file_E);
- fclose(file_E);
-
- for (int i = 0; i < M; i++) {
- forward_data[i] = (double)data_E[drop + i];
- }
- free(data_E);
-
- double mean_E = mean(M, forward_data);
- double squaredMean_E = squared_mean(M, forward_data);
- double moment2_E = central_moment(M, forward_data, mean_E, 2);
- double moment4_E = central_moment(M, forward_data, mean_E, 4);
-
- compute_OO(M, forward_plan, forward_data, reverse_plan, reverse_data);
-
- sprintf(filename_E, "wolff_%lu_E_OO.dat", id);
- FILE *file_E_new = fopen(filename_E, "wb");
- fwrite(&M_f, sizeof(double), 1, file_E_new);
- fwrite(&mean_E, sizeof(double), 1, file_E_new);
- fwrite(&squaredMean_E, sizeof(double), 1, file_E_new);
- fwrite(&moment2_E, sizeof(double), 1, file_E_new);
- fwrite(&moment4_E, sizeof(double), 1, file_E_new);
- fwrite(reverse_data, sizeof(double), length, file_E_new);
- fclose(file_E_new);
- }
- if (file_M != NULL) {
- if (0 == strcmp(model, "PLANAR")) {
- float *data_M = (float *)malloc(2 * N * sizeof(float));
- fread(data_M, sizeof(float), 2 * N, file_M);
- fclose(file_M);
- for (int i = 0; i < M; i++) {
- forward_data[i] = (double)sqrt(pow(data_M[2 * drop + 2 * i], 2) + pow(data_M[2 * drop + 2 * i + 1], 2));
- }
- free(data_M);
- } else if (0 == strcmp(model, "HEISENBERG")) {
- float *data_M = (float *)malloc(3 * N * sizeof(float));
- fread(data_M, sizeof(float), 3 * N, file_M);
- fclose(file_M);
- for (int i = 0; i < M; i++) {
- forward_data[i] = sqrt(pow(data_M[3 * drop + 3 * i], 2) + pow(data_M[3 * drop + 3 * i + 1], 2) + pow(data_M[3 * drop + 3 * i + 2], 2));
- }
- free(data_M);
- } else if (0 == strcmp(model, "ISING")) {
- int *data_M = (int *)malloc(N * sizeof(float));
- fread(data_M, sizeof(int), N, file_M);
- fclose(file_M);
- for (int i = 0; i < M; i++) {
- forward_data[i] = (double)data_M[i];
- }
- free(data_M);
- } else {
- printf("UNKNOWN MODEL\n");
- exit(EXIT_FAILURE);
- }
-
- double mean_M = mean(M, forward_data);
- double squaredMean_M = squared_mean(M, forward_data);
- double moment2_M = central_moment(M, forward_data, mean_M, 2);
- double moment4_M = central_moment(M, forward_data, mean_M, 4);
-
- compute_OO(M, forward_plan, forward_data, reverse_plan, reverse_data);
-
- sprintf(filename_M, "wolff_%lu_M_OO.dat", id);
- FILE *file_M_new = fopen(filename_M, "wb");
- fwrite(&M_f, sizeof(double), 1, file_M_new);
- fwrite(&mean_M, sizeof(double), 1, file_M_new);
- fwrite(&squaredMean_M, sizeof(double), 1, file_M_new);
- fwrite(&moment2_M, sizeof(double), 1, file_M_new);
- fwrite(&moment4_M, sizeof(double), 1, file_M_new);
- fwrite(reverse_data, sizeof(double), length, file_M_new);
- fclose(file_M_new);
- }
-
- printf("\033[F%lu: Correlation functions for %d steps written.\n", id, M);
- fftw_destroy_plan(forward_plan);
- fftw_destroy_plan(reverse_plan);
- fftw_free(forward_data);
- fftw_free(reverse_data);
-
- }
- free(filename_E);
- free(filename_S);
- free(filename_F);
- free(filename_M);
- }
- }
-
- free(model);
- fclose(metadata);
- fftw_cleanup();
-
- return 0;
-}
-