Late commit with fixes and updates. See the diff…

include/bayes/output.h

@@ -28,6 +28,7 @@
 #include <iostream>
 #include "file.h"
 #include <cstring>
+#include <type_traits>
 
 #include "eigen.h"
 #include "error.h"
@@ -956,9 +957,11 @@ struct EM_helpers {
 struct EM_map {
     std::vector<std::string> marker_names;
     std::vector<double> distances;
+    std::vector<double> r;
     double likelihood;
     int n_iterations;
     bool converged;
+    double delta;
 };
 
 
@@ -1079,7 +1082,7 @@ struct gamete_LV_database : public EM_helpers {
         gam.get(*name_i++, tmp);
 //         accum = tmp / tmp.sum();
 // //         accum = tmp / (tmp.array() > 0).template cast<double>().sum();
-        accum = tmp * .25;
+        accum = tmp/* * .25*/;
         for (const auto& t: TR) {
             gam.get(*name_i++, tmp);
             MSG_DEBUG("accum = " << accum.transpose() << " LV = " << tmp.transpose());
@@ -1315,6 +1318,67 @@ struct gamete_LV_database : public EM_helpers {
         MSG_DEBUG(em_state_per_mark_per_ind);
     }
 
+    double
+    EM_forward_likelihood()
+    {
+        scoped_indent _("[EM forward likelihood] ");
+        double accum = 0;
+
+        for (size_t i = 0; i < em_chain_is_single.size(); ++i) {
+            if (em_chain_is_single[i]) {
+                size_t m = 0;
+                Eigen::Vector2d v2 = Eigen::Vector2d::Constant(1);
+                // forward.
+                for (; m < em_distances.size(); ++m) {
+                    v2 = em_TR2[m] * (v2.array() * em_obs[m][i].unary.array()).matrix();
+                }
+                v2 = (v2.array() * em_obs[m][i].unary.array()).matrix();
+                accum += log(v2.sum());
+            } else {
+                size_t m = 0;
+                Eigen::Vector4d v4 = Eigen::Vector4d::Constant(1);
+                // forward.
+                for (; m < em_distances.size(); ++m) {
+                    v4 = em_TR4[m] * (v4.array() * em_obs[m][i].binary.array()).matrix();
+                }
+                v4 = (v4.array() * em_obs[m][i].binary.array()).matrix();
+                accum += log(v4.sum());
+            }
+        }
+        return accum;
+    }
+
+    template <typename M>
+    double
+    L1(const M& m)
+    {
+        double d = m.sum();
+        return d < DBL_EPSILON ? 1. / d : 1.;
+    }
+    
+    double
+    twoMarkerLikelihoodAtInf()
+    {
+        return twoMarkerLikelihood(0, .5);
+        auto o1 = em_obs[0].begin();
+        auto done = em_obs[0].end();
+        auto o2 = em_obs[1].begin();
+        auto sing = em_chain_is_single.begin();
+        double accum = 0;
+        for (; o1 != done; ++sing/*, ++m1, ++m2*/, ++o1, ++o2) {
+            if (*sing) {
+//                 accum += log(o1->unary.transpose() * L1(o1->unary) * Eigen::Matrix2d::Constant(.5) * o2->unary);
+//                 MSG_INFO("sing " << o1->unary.transpose() << " ; " << o2->unary.transpose());
+                accum += log(.5 * o1->unary.sum() * o2->unary.sum());
+            } else {
+//                 accum += log(o1->binary.transpose() * L1(o1->binary) * Eigen::Matrix4d::Constant(.25) * o2->binary);
+//                 MSG_INFO("doub " << o1->binary.transpose() << " ; " << o2->binary.transpose());
+                accum += log(.25 * o1->binary.sum() * o2->binary.sum());
+            }
+        }
+        return accum;
+    }
+
     double
     twoMarkerLikelihood(size_t i, double r)
     {
@@ -1326,10 +1390,19 @@ struct gamete_LV_database : public EM_helpers {
         double accum = 0;
         for (; sing != done; ++sing, ++m1, ++m2, ++o1, ++o2) {
             if (*sing) {
-                accum += log(mult_and_norm(m1->unary, o1->unary).transpose() * get_TR_unary(r, true) * mult_and_norm(m2->unary, o2->unary));
+//                 accum += log(mult_and_norm(m1->unary, o1->unary).transpose() * get_TR_unary(r, true) * mult_and_norm(m2->unary, o2->unary));
+                accum += log((2 * m1->unary.array() * o1->unary.array()).matrix().transpose()
+                             * get_TR_unary(r, true)
+                             * (2 * m2->unary.array() * o2->unary.array()).matrix());
+//                 MSG_INFO("o1 " << o1->unary.transpose());
+//                 MSG_INFO("o2 " << o2->unary.transpose());
             } else {
-                Eigen::Vector4d mm1 = mult_and_norm(m1->binary, o1->binary);
-                Eigen::Vector4d mm2 = mult_and_norm(m2->binary, o2->binary);
+//                 Eigen::Vector4d mm1 = mult_and_norm(m1->binary, o1->binary);
+//                 Eigen::Vector4d mm2 = mult_and_norm(m2->binary, o2->binary);
+//                 MSG_INFO("o1 " << o1->binary.transpose());
+//                 MSG_INFO("o2 " << o2->binary.transpose());
+                Eigen::Vector4d mm1 = 4 * (m1->binary.array() * o1->binary.array()).matrix();
+                Eigen::Vector4d mm2 = 4 * (m2->binary.array() * o2->binary.array()).matrix();
                 /*MSG_DEBUG("mm1 " << mm1.transpose());*/
                 /*MSG_DEBUG("mm2 " << mm2.transpose());*/
                 accum += log(mm1.transpose() * get_TR_binary(r, true) * mm2);
@@ -1396,7 +1469,7 @@ struct gamete_LV_database : public EM_helpers {
 
 
     EM_map
-    EM(const std::vector<std::string>& marker_names, double convergence_threshold = 1.e-12, int max_iterations = 100)
+    EM(const std::vector<std::string>& marker_names, bool dist_if_true_else_r = true, double convergence_threshold = 1.e-12, int max_iterations = 100)
     {
         double delta;
         EM_map ret;
@@ -1411,12 +1484,25 @@ struct gamete_LV_database : public EM_helpers {
             delta = EM_delta();
             ++ret.n_iterations;
         } while (delta > convergence_threshold && ret.n_iterations < max_iterations);
+        ret.r = em_distances;
         ret.distances = em_distances;
+        if (dist_if_true_else_r) {
             for (double& d: ret.distances) {
                 d = -50. * log(1 - 2. * d);
             }
-        ret.likelihood = map_likelihood(marker_names, em_distances);
+        }
+//         ret.likelihood = map_likelihood(marker_names, em_distances);
+        ret.likelihood = EM_forward_likelihood();
+//         auto sing = em_chain_is_single.begin();
+//         for (const auto& v: em_forward.back()) {
+//             if (*sing++) {
+//                 ret.likelihood += log(v.unary.sum());
+//             } else {
+//                 ret.likelihood += log(v.binary.sum());
+//             }
+//         }
         ret.converged = delta < convergence_threshold;
+        ret.delta = delta;
         return ret;
     }
     

include/error.h

@@ -571,7 +571,7 @@ void message_queue::run()
 
 #ifdef SPELL_UNSAFE_OUTPUT
 
-#define MSG_ERROR(_msg_expr_, _workaround_expr_) do { std::cerr << _msg_expr_ << std::endl; } while (0)
+#define MSG_ERROR(_msg_expr_, _workaround_expr_) do { std::cerr << msg_handler_t::e() << _msg_expr_ << msg_handler_t::n() << std::endl; } while (0)
 #define MSG_WARNING(_msg_expr_)  do { std::cout << _msg_expr_ << std::endl; } while (0)
 #define MSG_INFO(_msg_expr_) do { std::cout << _msg_expr_ << std::endl; } while (0)
 #define MSG_QUEUE_FLUSH()
@@ -706,13 +706,19 @@ struct scoped_indent {
 inline bool msg_handler_t::state_t::check(bool fatal)
 {
     msg_handler_t::scoped_lock_type _(msg_handler_t::mutex);
+//     MSG_INFO("count = " << count);
     if (count > 0) {
         cerr() << info() << "[MSG] " << count << " error"
                << (count > 1 ? "s were" : " was")
-               << " reported. Suggestions to fix this:" << std::endl;
+               << " reported.";
+        if (workarounds.size()) {
+            cerr() << " Suggestions to fix this:" << std::endl;
             for (auto& w: workarounds) {
                 cerr() << info() << "      - " << w << normal() << std::endl;
             }
+        } else {
+            cerr() << normal() << std::endl;
+        }
         if (fatal) {
             cout() << normal() <<"At least one fatal error encountered. Aborting process." << std::endl;
             exit(-count);

include/input/marker_obs_formats.h

@@ -150,7 +150,8 @@ struct marker_obs_formats {
         const nlohmann::json& formats = get_internal_formats_json();
         auto it = formats.find(key);
         if (it == formats.end()) {
-            MSG_ERROR("Marker observation format is not defined: " << key, SPELL_STRING("Use one of the predefined formats " << build_all_internal_format_names() << " or add a -mos <format-filename> argument to the commandline."));
+            MSG_ERROR("Marker observation format is not defined: " << key << ". Use one of the predefined formats " << build_all_internal_format_names() << " or add a -mos <format-filename> argument to the commandline.", "");
+//             MSG_ERROR("Marker observation format is not defined: " << key, SPELL_STRING("Use one of the predefined formats " << build_all_internal_format_names() << " or add a -mos <format-filename> argument to the commandline."));
             return {};
         }
         return it.value();

src/bayes/cli.cc

@@ -570,14 +570,6 @@ bn_settings_t* bn_settings_t::from_args(int argc, const char** argv)
         if (ret->output_mode == 0) {
             ret->output_mode = bn_settings_t::OutputPopData;
         }
-        if (ret->output_generations.size() == 0) {
-            for (const auto& kv: ret->pedigree.generation_names) {
-                ret->output_generations.emplace_back(kv.second);
-            }
-        }
-        std::sort(ret->output_generations.begin(), ret->output_generations.end());
-        auto it = std::unique(ret->output_generations.begin(), ret->output_generations.end());
-        ret->output_generations.resize(it - ret->output_generations.begin());
     }
 
     return ret;

src/bayes/jobs.cc

@@ -194,7 +194,7 @@ job_registry = {
             /*MSG_DEBUG("Pedigree" << std::endl << settings->pedigree);*/
             /*MSG_DEBUG("COMPUTING FACTOR GRAPH FOR " << unique_n_alleles[n] << " ALLELES.");*/
             /*factor_graph fg(settings->pedigree, unique_n_alleles[n], settings->noise);*/
-            auto fg = factor_graph_type::from_pedigree(settings->pedigree.items, unique_n_alleles[n], settings->output_mode & bn_settings_t::OutputGametes, settings->input_generations, /*settings->output_generations*/ {});
+            auto fg = factor_graph_type::from_pedigree(settings->pedigree.items, unique_n_alleles[n], settings->output_mode & bn_settings_t::OutputGametes, settings->input_generations, settings->output_generations);
             /*MSG_DEBUG("COMPUTED FACTOR GRAPH" << std::endl << fg);*/
             /*fg.finalize();*/
             /*fg.save(settings->job_filename("factor-graph", unique_n_alleles[n]));*/

src/bayes/main.cc

@@ -42,7 +42,9 @@ int SPELL_BAYES_MAIN(int argc, const char** argv)
     bn_settings_t* settings = NULL;
     try {
         settings = bn_settings_t::from_args(argc, argv);
-        msg_handler_t::check(true);
+        if (msg_handler_t::check(false)) {
+            return -1;
+        }
     } catch (file::error& fe) {
         MSG_ERROR("An error happened while reading input files. " << fe.what(), "");
         return -1;
@@ -62,6 +64,25 @@ int SPELL_BAYES_MAIN(int argc, const char** argv)
         MSG_DEBUG("loaded from " << settings->pedigree_filename);
         MSG_DEBUG("" << settings->pedigree);
         MSG_DEBUG_DEDENT;
+        MSG_INFO("Output gen: " << settings->output_generations);
+        
+        MSG_INFO("settings->output_generations.size = " << settings->output_generations.size());
+        MSG_INFO("settings->output_mode & OutputGametes = " << (settings->output_mode & bn_settings_t::OutputGametes));
+        if (settings->output_generations.size() == 0 || (settings->output_mode & bn_settings_t::OutputGametes)) {
+            settings->output_generations.clear();
+            settings->output_generations.reserve(settings->pedigree.generations.size());
+            for (const auto& gen: settings->pedigree.generations) {
+                if (gen) {
+                    settings->output_generations.emplace_back(gen->name);
+                }
+            }
+        }
+
+        MSG_INFO("Output gen: " << settings->output_generations);
+        std::sort(settings->output_generations.begin(), settings->output_generations.end());
+        auto it = std::unique(settings->output_generations.begin(), settings->output_generations.end());
+        settings->output_generations.resize(it - settings->output_generations.begin());
+
 
         for (const auto& kv: settings->observed_mark) {
             settings->marker_observation_specs[kv.second.format_name]

src/pedigree/main.cc

@@ -35,7 +35,7 @@ int SPELL_PEDIGREE_MAIN(int argc, const char** argv)
         print_usage();
     } else {
         pedigree_type ped = read_pedigree(settings->pedigree_filename, settings->csv_sep, settings->max_states);
-        if (!msg_handler_t::check(false)) {
+        if (msg_handler_t::check(false)) {
             return -1;
         }
         std::string ped_output;

src/r-glue/DESCRIPTION

 Package: spellmaptools
-Version: 1.0
+Version: 0.3
 Date: 2018-03-05
 Title: SpellMapTools
 Authors@R: c(person("Damien", "Leroux", role = c("aut", "cre"), email = "damien.leroux@inra.fr"),

src/r-glue/Makefile

@@ -15,7 +15,7 @@ copy_sources_1:
 	@./cp.py . $(DOT_SRC) Makevars package/src
 	@./cp.py /usr/include/RWrap '*.h' package/src/include/RWrap
 	@./cp.py ../../3rd-party json.hpp package/3rd-party
-	@./cp.py . DESCRIPTION package
+	@./cp.py . .Rbuildignore DESCRIPTION package
 
 copy_sources_2: .FORCE
 	@./cp.py ~/include/eigen3/ '*' '*/*' '*/*/*' '*/*/*/*' package/src/include/eigen3
@@ -49,7 +49,7 @@ package: generate
 
 
 install: package
-	+R CMD INSTALL $(TARGET)_1.0.tar.gz
+	+R CMD INSTALL $(TARGET)_`grep Version DESCRIPTION | sed 's/.* //'`.tar.gz
 
 
 clean:

src/r-glue/spellmaptools.cc

@@ -41,11 +41,12 @@ class Spell2PtMatrix;
 class SpellMapTools {
 private:
     gamete_LV_database gamete_LV;
-    double m_convergence_threshold = 1.e-12;
+    double m_convergence_threshold = 1.e-6;
     int m_max_iterations = 100;
+    bool m_active = false;
 public:
     /* observations_specs must have three columns: generation, format, filename */
-    SpellMapTools(std::string ped_filename, Rwrap::DataFrame observation_specs);
+    SpellMapTools(std::string ped_filename, Rwrap::DataFrame observation_specs, int mt);
     Rwrap::List
     SEM(marker_vec order);
     Rwrap::List
@@ -54,12 +55,14 @@ public:
     Flips(marker_vec order, int window_size);
     Spell2PtMatrix*
     LOD2pt(marker_vec rows, marker_vec cols);
+    Spell2PtMatrix*
+    R2pt(marker_vec rows, marker_vec cols);
     double
     map_likelihood(const marker_vec& order, const std::vector<double>& distances)
     { return gamete_LV.map_likelihood(order, distances); }
     EM_map
-    EM(const marker_vec& order)
-    { return gamete_LV.EM(order, m_convergence_threshold, m_max_iterations); }
+    EM(const marker_vec& order, bool dist_if_true_else_r=true)
+    { return gamete_LV.EM(order, dist_if_true_else_r, m_convergence_threshold, m_max_iterations); }
     
 //     void init_2pt_tr_at_inf() { gamete_LV.init_2pt_tr_at_inf(); }
     double twoMarkerLikelihood() { return gamete_LV.twoMarkerLikelihoodAtInf(); }
@@ -76,6 +79,16 @@ public:
         else { return m_convergence_threshold; }
     }
     
+    bool active_check()
+    {
+        if (!m_active) {
+            MSG_ERROR("This instance is not active. There was a problem during initialization.", "");
+            return true;
+        }
+        return false;
+    }
+    
+    bool is_active() { return m_active; }
 };
 
 
@@ -86,9 +99,11 @@ private:
     std::vector<std::string> rownames, colnames;
     std::map<std::string, int> row_indices, col_indices;
     std::map<std::pair<std::string, std::string>, double> cache;
+    std::map<std::pair<std::string, std::string>, double> r_cache;
+    bool lod_if_true_else_r;
 public:
     Spell2PtMatrix(SpellMapTools* smt, std::vector<std::string> r, std::vector<std::string> c)
-        : instance(smt), rownames(r), colnames(c), row_indices(), col_indices(), cache()
+        : instance(smt), rownames(r), colnames(c), row_indices(), col_indices(), cache(), r_cache(), lod_if_true_else_r(true)
     {
         for (const auto& m: rownames) {
             row_indices.emplace(m, row_indices.size());
@@ -98,6 +113,12 @@ public:
         }
     }
 
+    void rate() { lod_if_true_else_r = false; }
+    void lod() { lod_if_true_else_r = true; }
+    
+    int is_rate() { return (int) !lod_if_true_else_r; }
+    int is_lod() { return (int) lod_if_true_else_r; }
+    
     marker_vec getRownames() { return rownames; }
     marker_vec getColnames() { return colnames; }
     
@@ -107,14 +128,15 @@ public:
         return {(int) rownames.size(), (int) colnames.size()};
     }
 
-    double get2PtValue(int i, int j)
+    void
+    get_value_impl(int i, int j, double& lod, double& r)
     {
         if (i < 1 || j < 1 || i > rownames.size() || j > colnames.size()) {
-            return NA_REAL;
+            lod = r = NA_REAL;
         }
         --i; --j;
         if (rownames[i] == colnames[j]) {
-            return 0;
+            lod = r = 0;
         }
         std::pair<std::string, std::string> key = {rownames[i], colnames[j]};
         if (key.first > key.second) {
@@ -125,19 +147,31 @@ public:
 //             MSG_INFO("Key " << key.first << ':' << key.second << " not in cache!");
             static const std::vector<double> at_worlds_end = {.5};
             marker_vec minimap = {rownames[i], colnames[j]};
-            auto em = instance->EM(minimap);
+            auto em = instance->EM(minimap, false);
             double best = em.likelihood;
+            r = em.distances[0];
+            r_cache.emplace(key, r);
 //             instance->init_2pt_tr_at_inf();
 //             double inf_ref = instance->map_likelihood(minimap, at_worlds_end);
             double inf_ref = instance->twoMarkerLikelihood();
-            double value = best - inf_ref;
-//             MSG_INFO("LOD(" << minimap[0] << " … " << minimap[1] << " => d=" << em.distances[0] << " best=" << best << " inf_ref=" << inf_ref << " value=" << value);
-            cache.emplace(key, value);
-            return value;
+            lod = best - inf_ref;
+//             MSG_INFO("LOD(" << minimap[0] << " … " << minimap[1] << " => d=" << em.distances[0] << " best=" << best << " inf_ref=" << inf_ref << " value=" << lod);
+            cache.emplace(key, lod);
         } else {
 //             MSG_INFO("Key " << key.first << ':' << key.second << " in cache! " << it->first.first << ':' << it->first.second);
-            return it->second;
+            lod = it->second;
+            r = r_cache[key];
+        }
+    }
+
+    double get2PtValue(int i, int j)
+    {
+        if (!instance->is_active()) {
+            return NA_REAL;
         }
+        double lod, r;
+        get_value_impl(i, j, lod, r);
+        return lod_if_true_else_r ? lod : r;
     }
 };
 
@@ -181,7 +215,7 @@ extern "C" {
 
 
 
-SpellMapTools::SpellMapTools(std::string ped_filename, Rwrap::DataFrame observation_specs)
+SpellMapTools::SpellMapTools(std::string ped_filename, Rwrap::DataFrame observation_specs, int mt)
     : gamete_LV()
 {
 //     MSG_DEBUG(__FILE__ << ':' << __LINE__);
@@ -249,20 +283,27 @@ SpellMapTools::SpellMapTools(std::string ped_filename, Rwrap::DataFrame observat
     /* Run spell-marker if needed */
     if (spell_mark_t < data_time && obs_gen.size() > 0) {
 //         MSG_DEBUG(__FILE__ << ':' << __LINE__);
-        std::stringstream out;
+//         std::stringstream out;
         std::vector<std::string> args = {"spell-marker", "-wd", wd, "-n", name, "-Og", "-Op"};
+        if (mt > 1) {
+            args.push_back("-mt");
+            args.push_back(SPELL_STRING(mt));
+        }
         for (size_t i = 0; i < obs_gen.size(); ++i) {
             args.push_back("-m");
             args.push_back(SPELL_STRING(obs_gen[i] << ':' << obs_format[i]));
             args.push_back(obs_filename[i]);
-            if (out.tellp()) {
-                out << ',';
-            }
-            out << obs_gen[i];
+//             if (out.tellp()) {
+//                 out << ',';
+//             }
+//             out << obs_gen[i];
+        }
+//         args.push_back("-o");
+//         args.push_back(out.str());
+        if (invoke_spell(SPELL_BAYES_MAIN, args)) {
+            MSG_ERROR("Aborting spell-map-tools initialization because of errors…", "");
+            return;
         }
-        args.push_back("-o");
-        args.push_back(out.str());
-        invoke_spell(SPELL_BAYES_MAIN, args);
     }
 //     MSG_DEBUG(__FILE__ << ':' << __LINE__);
 
@@ -273,6 +314,7 @@ SpellMapTools::SpellMapTools(std::string ped_filename, Rwrap::DataFrame observat
 //         MSG_DEBUG(__FILE__ << ':' << __LINE__);
     }
 //     MSG_DEBUG(__FILE__ << ':' << __LINE__);
+    m_active = true;
 }
 
 
@@ -286,6 +328,8 @@ map2list(const EM_map& map)
     ret.add("likelihood", map.likelihood);
     ret.add("n_iterations", map.n_iterations);
     ret.add("converged", (int) map.converged);
+    ret.add("delta", map.delta);
+    ret.add("r", map.r);
     return ret;
 }
 
@@ -294,14 +338,21 @@ map2list(const EM_map& map)
 Rwrap::List
 SpellMapTools::SEM(marker_vec order)
 {
+    if (active_check()) {
+        return {};
+    }
     return map2list(EM(order));
 }
 
 
 
+
 Rwrap::List
 SpellMapTools::Try(marker_vec order, std::string marker)
 {
+    if (active_check()) {
+        return {};
+    }
     std::vector<Rwrap::List> map_results;
     marker_vec full_order;
     full_order.reserve(order.size() + 1);
@@ -333,6 +384,9 @@ SpellMapTools::Try(marker_vec order, std::string marker)
 double
 SpellMapTools::Flips(marker_vec order, int window_size)
 {
+    if (active_check()) {
+        return NA_REAL;
+    }
     std::vector<size_t> window(window_size);
     double best = EM(order).likelihood;
     double ref = best;
@@ -387,6 +441,7 @@ SpellMapTools::Flips(marker_vec order, int window_size)
 Spell2PtMatrix*
 SpellMapTools::LOD2pt(marker_vec row_order, marker_vec col_order)
 {
+    active_check();
     return new Spell2PtMatrix(this, row_order, col_order);
 }
 
@@ -396,13 +451,17 @@ SpellMapTools::LOD2pt(marker_vec row_order, marker_vec col_order)
 
 CLASS(Spell2PtMatrix)
     .method(Spell2PtMatrix, get2PtValue).arg("i").arg("j").auto_glue()
+    .method(Spell2PtMatrix, rate).auto_glue()
+    .method(Spell2PtMatrix, lod).auto_glue()
+    .method(Spell2PtMatrix, is_lod).auto_glue()
+    .method(Spell2PtMatrix, is_rate).auto_glue()
     .method(Spell2PtMatrix, getDim).auto_glue()
     .method(Spell2PtMatrix, getRownames).auto_glue()
     .method(Spell2PtMatrix, getColnames).auto_glue()
     ;
 
 CLASS(SpellMapTools)
-    .ctor<std::string, Rwrap::DataFrame>("pedigree_filename", "observation_specs")
+    .ctor<std::string, Rwrap::DataFrame, int>("pedigree_filename", "observation_specs", "mt")
     .method(SpellMapTools, SEM).arg("order").auto_glue()
     .method(SpellMapTools, Try).arg("order").arg("marker").auto_glue()
     .method(SpellMapTools, Flips).arg("order").arg("window_size").auto_glue()

tests/Makefile

 include Makefile.conf
 #CXX=clang++ -stdlib=libc++
-#CXXARGS=--std=c++11 -Wall -Wno-unused-local-typedefs -DEIGEN_NO_DEPRECATED_WARNING -pthread -DSPELL_UNSAFE_OUTPUT
-CXXARGS=--std=c++11 -Wall -DEIGEN_NO_DEPRECATED_WARNING -pthread -DSPELL_UNSAFE_OUTPUT
+#CXXARGS=--std=c++14 -Wall -Wno-unused-local-typedefs -DEIGEN_NO_DEPRECATED_WARNING -pthread -DSPELL_UNSAFE_OUTPUT
+CXXARGS=--std=c++14 -Wall -DEIGEN_NO_DEPRECATED_WARNING -pthread -DSPELL_UNSAFE_OUTPUT
 LD=$(CXX)
 LIBS=-rdynamic -lexpat -ldl
-VERSION_DEFINES=$(shell git tag | sed 's/\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)/-DVERSION_MAJOR=\\\"\1\\\" -DVERSION_MINOR=\\\"\2\\\" -DVERSION_PATCH=\\\"\3\\\"/')
+#VERSION_DEFINES=$(shell git tag | tail -1 | sed 's/\([0-9]*\)[.]\([0-9]*\)[.]\(.*\)/-DVERSION_MAJOR=\\\"\1\\\" -DVERSION_MINOR=\\\"\2\\\" -DVERSION_PATCH=\\\"\3\\\"/')
+VERSION_DEFINES='-DVERSION_MAJOR="test" -DVERSION_MINOR="test" -DVERSION_PATCH="2"'
 
 C=$(CXX) $(CXXARGS) $(INC) -DTEST_POLY $(VERSION_DEFINES)
 
-SRC=main.cc cache.cc fast_polynom.cc markov_population.cc ril_properties.cc frag_comp.cc model_manager.cc
+#SRC=main.cc cache.cc fast_polynom.cc markov_population.cc ril_properties.cc frag_comp.cc model_manager.cc
+SRC=main.cc cache.cc frag_comp.cc model_manager.cc
 EXT_SRC=../src/input/read_map.cc ../src/input/read_mark.cc ../src/input/read_trait.cc ../src/outbred.cc ../src/probapop_dtd.cc ../src/input/invoke_probapop.cc ../src/static_data.cc ../src/input/read_settings.cc ../src/input/xml/xml_design.cc  ../src/input/xml/xml_format.cc  ../src/input/xml/xml_settings.cc ../src/input/ld_matrices.cc ../src/input/pedigree.cc ../src/computations/basic_data.cc ../src/computations/probabilities.cc ../src/computations/model.cc ../src/beta_gamma.cc
 #SRC=main.cc fast_polynom.cc ril_properties.cc ../src/input/read_map.cc ../src/outbred.cc ../src/probapop_dtd.cc ../src/input/invoke_probapop.cc ../src/static_data.cc
 
@@ -65,7 +67,7 @@ test-coverage: test
 
 
 .depend: $(SRC) Makefile
-	g++-4.9 --std=c++11 $(INC) --depend $(SRC) > $@
+	g++ --std=c++14 $(INC) --depend $(SRC) > $@
 
 $(OBJ):%.o: %.cc $(PCH)
 	$C -c $< -o $@

tests/Makefile.conf

-GCC_VERSION=-4.9
+GCC_VERSION=
 CXX=g++$(GCC_VERSION)
 INC=-I../include -I../include/input -I/home/daleroux/include/eigen3 -I/home/daleroux/include
 COV=gcov #llvm-cov-3.4  #gcov #$(GCC_VERSION)