Fix some compilation issues and warnings with clang

src/boost-workaround/boost/graph/betweenness_centrality.hpp

@@ -51,14 +51,14 @@ namespace detail { namespace graph {
     typedef typename graph_traits<Graph>::vertex_descriptor vertex_descriptor;
     typedef typename graph_traits<Graph>::edge_descriptor edge_descriptor;
 
-    brandes_dijkstra_visitor(std::stack<vertex_descriptor>& ordered_vertices,
-                             WeightMap weight,
-                             IncomingMap incoming,
-                             DistanceMap distance,
-                             PathCountMap path_count)
-      : ordered_vertices(ordered_vertices), weight(weight),
-        incoming(incoming), distance(distance),
-        path_count(path_count)
+    brandes_dijkstra_visitor(std::stack<vertex_descriptor>& iordered_vertices,
+                             WeightMap iweight,
+                             IncomingMap iincoming,
+                             DistanceMap idistance,
+                             PathCountMap ipath_count)
+      : ordered_vertices(iordered_vertices), weight(iweight),
+        incoming(iincoming), distance(idistance),
+        path_count(ipath_count)
     { }
 
     /**
@@ -117,8 +117,8 @@ namespace detail { namespace graph {
   template<typename WeightMap>
   struct brandes_dijkstra_shortest_paths
   {
-    brandes_dijkstra_shortest_paths(WeightMap weight_map)
-      : weight_map(weight_map) { }
+    brandes_dijkstra_shortest_paths(WeightMap iweight_map)
+      : weight_map(iweight_map) { }
 
     template<typename Graph, typename IncomingMap, typename DistanceMap,
              typename PathCountMap, typename VertexIndexMap>
@@ -165,11 +165,11 @@ namespace detail { namespace graph {
       typedef typename graph_traits<Graph>::vertex_descriptor
         vertex_descriptor;
 
-      visitor_type(IncomingMap incoming, DistanceMap distance,
-                   PathCountMap path_count,
-                   std::stack<vertex_descriptor>& ordered_vertices)
-        : incoming(incoming), distance(distance),
-          path_count(path_count), ordered_vertices(ordered_vertices) { }
+      visitor_type(IncomingMap iincoming, DistanceMap idistance,
+                   PathCountMap ipath_count,
+                   std::stack<vertex_descriptor>& iordered_vertices)
+        : incoming(iincoming), distance(idistance),
+          path_count(ipath_count), ordered_vertices(iordered_vertices) { }
 
       /// Keep track of vertices as they are reached
       void examine_vertex(vertex_descriptor v, Graph&)
@@ -344,7 +344,7 @@ namespace detail { namespace graph {
 
       while (!ordered_vertices.empty())
       {
-          vertex_descriptor w = ordered_vertices.top();
+          vertex_descriptor u = ordered_vertices.top();
           ordered_vertices.pop();
 
           typedef typename property_traits<IncomingMap>::value_type
@@ -353,18 +353,18 @@ namespace detail { namespace graph {
           typedef typename property_traits<DependencyMap>::value_type
               dependency_type;
 
-          for (incoming_iterator vw = incoming[w].begin();
-               vw != incoming[w].end(); ++vw) {
+          for (incoming_iterator vw = incoming[u].begin();
+               vw != incoming[u].end(); ++vw) {
               vertex_descriptor v = source(*vw, g);
               dependency_type factor = dependency_type(get(path_count, v))
-                  / dependency_type(get(path_count, w));
-              factor *= (dependency_type(1) + get(dependency, w));
+                  / dependency_type(get(path_count, u));
+              factor *= (dependency_type(1) + get(dependency, u));
               put(dependency, v, get(dependency, v) + factor);
               update_centrality(edge_centrality_map, *vw, factor);
           }
 
-          if (w != s) {
-              update_centrality(centrality, w, get(dependency, w));
+          if (u != s) {
+              update_centrality(centrality, u, get(dependency, u));
           }
       }
 

src/boost-workaround/boost/graph/isomorphism.hpp

@@ -85,8 +85,8 @@ namespace boost {
       friend struct compare_multiplicity;
       struct compare_multiplicity
       {
-        compare_multiplicity(Invariant1 invariant1, size_type* multiplicity)
-          : invariant1(invariant1), multiplicity(multiplicity) { }
+        compare_multiplicity(Invariant1 inv1, size_type* mult)
+          : invariant1(inv1), multiplicity(mult) { }
         bool operator()(const vertex1_t& x, const vertex1_t& y) const {
           return multiplicity[invariant1(x)] < multiplicity[invariant1(y)];
         }
@@ -102,7 +102,7 @@ namespace boost {
         void discover_vertex(vertex1_t v, const Graph1&) const {
           vertices.push_back(v);
         }
-        void examine_edge(edge1_t e, const Graph1& G1) const {
+        void examine_edge(edge1_t e, const Graph1&) const {
           edges.push_back(e);
         }
         std::vector<vertex1_t>& vertices;
@@ -110,8 +110,8 @@ namespace boost {
       };
 
       struct edge_cmp {
-        edge_cmp(const Graph1& G1, DFSNumMap dfs_num)
-          : G1(G1), dfs_num(dfs_num) { }
+        edge_cmp(const Graph1& Gr1, DFSNumMap dfs_n)
+          : G1(Gr1), dfs_num(dfs_n) { }
         bool operator()(const edge1_t& e1, const edge1_t& e2) const {
           using namespace std;
           int u1 = dfs_num[source(e1,G1)], v1 = dfs_num[target(e1,G1)];
@@ -127,12 +127,12 @@ namespace boost {
       };
 
     public:
-      isomorphism_algo(const Graph1& G1, const Graph2& G2, IsoMapping f,
-                       Invariant1 invariant1, Invariant2 invariant2, std::size_t max_invariant,
-                       IndexMap1 index_map1, IndexMap2 index_map2)
-        : G1(G1), G2(G2), f(f), invariant1(invariant1), invariant2(invariant2),
-          max_invariant(max_invariant),
-          index_map1(index_map1), index_map2(index_map2)
+      isomorphism_algo(const Graph1& GG1, const Graph2& GG2, IsoMapping mf,
+                       Invariant1 inv1, Invariant2 inv2, std::size_t max_inv,
+                       IndexMap1 index1, IndexMap2 index2)
+        : G1(GG1), G2(GG2), f(mf), invariant1(inv1), invariant2(inv2),
+          max_invariant(max_inv),
+          index_map1(index1), index_map2(index2)
       {
         in_S_vec.resize(num_vertices(G1));
         in_S = make_safe_iterator_property_map
@@ -236,8 +236,8 @@ namespace boost {
               count_if(adjacent_vertices(f[k], G2), make_indirect_pmap(in_S));
 
             for (int jj = 0; jj < dfs_num_k; ++jj) {
-              vertex1_t j = dfs_vertices[jj];
-              num_edges_on_k -= count(adjacent_vertices(f[j], G2), f[k]);
+              vertex1_t vj = dfs_vertices[jj];
+              num_edges_on_k -= count(adjacent_vertices(f[vj], G2), f[k]);
             }
 
             if (num_edges_on_k != 0)

src/graph/Makefile.am

@@ -19,6 +19,7 @@ libgraph_tool_core_LTLIBRARIES = libgraph_tool_core.la
 
 libgraph_tool_core_la_SOURCES = \
     graph.cc \
+    graph_exceptions.cc \
     graph_bind.cc \
     graph_copy.cc \
     graph_filtering.cc \

src/graph/centrality/graph_betweenness.cc

@@ -162,7 +162,7 @@ struct get_central_point_dominance
     void operator()(Graph& g, VertexBetweenness vertex_betweenness, double& c)
         const
     {
-        c = central_point_dominance(g, vertex_betweenness);
+        c = double(central_point_dominance(g, vertex_betweenness));
     }
 };
 

src/graph/centrality/graph_eigentrust.hh

@@ -104,7 +104,6 @@ struct get_eigentrust
         while (delta >= epslon)
         {
             delta = 0;
-            int i, N = num_vertices(g);
             #pragma omp parallel for default(shared) private(i)     \
                 schedule(dynamic) reduction(+:delta)
             for (i = 0; i < N; ++i)
@@ -139,7 +138,7 @@ struct get_eigentrust
         {
             #pragma omp parallel for default(shared) private(i)     \
                 schedule(dynamic)
-            for (int i = 0; i < N; ++i)
+            for (i = 0; i < N; ++i)
             {
                 typename graph_traits<Graph>::vertex_descriptor v =
                     vertex(i, g);

src/graph/centrality/graph_eigenvector.cc

@@ -46,8 +46,7 @@ long double eigenvector(GraphInterface& g, boost::any w, boost::any c,
     long double eig = 0;
     run_action<>()
         (g, bind<void>
-         (get_eigenvector(),
-          _1, g.GetVertexIndex(), g.GetEdgeIndex(), _2,
+         (get_eigenvector(), _1, g.GetEdgeIndex(), _2,
           _3, epsilon, max_iter, ref(eig)),
          weight_props_t(),
          vertex_floating_properties())(w, c);

src/graph/centrality/graph_eigenvector.hh

@@ -32,11 +32,11 @@ using namespace boost;
 
 struct get_eigenvector
 {
-    template <class Graph, class VertexIndex, class EdgeIndex, class WeightMap,
+    template <class Graph, class VertexIndex, class WeightMap,
               class CentralityMap>
-    void operator()(Graph& g, VertexIndex vertex_index,
-                    EdgeIndex edge_index, WeightMap w, CentralityMap c,
-                    double epsilon, size_t max_iter, long double& eig) const
+    void operator()(Graph& g, VertexIndex vertex_index, WeightMap w,
+                    CentralityMap c, double epsilon, size_t max_iter,
+                    long double& eig) const
     {
         typedef typename property_traits<WeightMap>::value_type c_type;
         typedef typename property_traits<CentralityMap>::value_type t_type;
@@ -57,13 +57,11 @@ struct get_eigenvector
 
         t_type norm = 0;
 
-
         t_type delta = epsilon + 1;
         size_t iter = 0;
         while (delta >= epsilon)
         {
             norm = 0;
-            int i, N = num_vertices(g);
             #pragma omp parallel for default(shared) private(i) \
                 schedule(dynamic) reduction(+:norm)
             for (i = 0; i < N; ++i)
@@ -109,7 +107,7 @@ struct get_eigenvector
         {
             #pragma omp parallel for default(shared) private(i)     \
                 schedule(dynamic)
-            for (int i = 0; i < N; ++i)
+            for (i = 0; i < N; ++i)
             {
                 typename graph_traits<Graph>::vertex_descriptor v =
                     vertex(i, g);

src/graph/centrality/graph_pagerank.hh

@@ -63,7 +63,6 @@ struct get_pagerank
         while (delta >= epsilon)
         {
             delta = 0;
-            int i, N = num_vertices(g);
             #pragma omp parallel for default(shared) private(i)     \
                 schedule(dynamic) reduction(+:delta)
             for (i = 0; i < N; ++i)
@@ -97,7 +96,7 @@ struct get_pagerank
         {
             #pragma omp parallel for default(shared) private(i)     \
                 schedule(dynamic)
-            for (int i = 0; i < N; ++i)
+            for (i = 0; i < N; ++i)
             {
                 typename graph_traits<Graph>::vertex_descriptor v =
                     vertex(i, g);

src/graph/centrality/graph_trust_transitivity.cc

@@ -38,8 +38,7 @@ void trust_transitivity(GraphInterface& g, int64_t source, int64_t target,
 
     run_action<>()(g,
                    bind<void>(get_trust_transitivity(), _1, g.GetVertexIndex(),
-                              g.GetEdgeIndex(), g.GetMaxEdgeIndex(), source,
-                              target, _2, _3),
+                              source, target, _2, _3),
                    edge_floating_properties(),
                    vertex_floating_vector_properties())(c,t);
 }

src/graph/centrality/graph_trust_transitivity.hh

@@ -47,7 +47,7 @@ public:
 
     template <class Graph>
     void examine_vertex(typename graph_traits<Graph>::vertex_descriptor u,
-                        Graph& g)
+                        Graph&)
     {
         // stop if all sources are found
         if (_source_map[u])
@@ -78,7 +78,7 @@ struct dist_combine
     template <class DistType, class WeightType>
     DistType operator()(const DistType& d, const WeightType& w) const
     {
-        return d*w;
+        return DistType(d * w);
     }
 };
 
@@ -94,12 +94,10 @@ struct filter_vertex_pred
 
 struct get_trust_transitivity
 {
-    template <class Graph, class VertexIndex, class EdgeIndex, class TrustMap,
+    template <class Graph, class VertexIndex, class TrustMap,
               class InferredTrustMap>
-    void operator()(Graph& g, VertexIndex vertex_index, EdgeIndex edge_index,
-                    size_t max_edge_index, int64_t source, int64_t target,
-                    TrustMap c, InferredTrustMap t)
-        const
+    void operator()(Graph& g, VertexIndex vertex_index, int64_t source,
+                    int64_t target, TrustMap c, InferredTrustMap t) const
     {
         typedef typename graph_traits<Graph>::vertex_descriptor vertex_t;
         typedef typename graph_traits<Graph>::edge_descriptor edge_t;

src/graph/clustering/graph_clustering.hh

@@ -142,6 +142,7 @@ struct set_clustering_to_property
     template <class Graph, class ClustMap>
     void operator()(const Graph& g, ClustMap clust_map) const
     {
+        typedef typename property_traits<ClustMap>::value_type c_type;
         typename get_undirected_graph<Graph>::type ug(g);
         int i, N = num_vertices(g);
 
@@ -159,7 +160,7 @@ struct set_clustering_to_property
 
             #pragma omp critical
             {
-                clust_map[v] = clustering;
+                clust_map[v] = c_type(clustering);
             }
         }
     }

src/graph/clustering/graph_motifs.cc

@@ -32,7 +32,7 @@ using namespace graph_tool;
 struct null_copy
 {
     template <class T1, class T2>
-        void operator()(const T1& t1, const T2& t2) const {}
+        void operator()(const T1&, const T2&) const {}
 };
 
 struct append_to_list

src/graph/clustering/graph_motifs.hh

@@ -172,9 +172,9 @@ struct sample_some
             r = random();
         }
         if (r < u)
-            n = ceil(nc*pd);
+            n = size_t(ceil(nc*pd));
         else
-            n = floor(nc*pd);
+            n = size_t(floor(nc*pd));
 
         if (n == extend.size())
             return;
@@ -339,9 +339,9 @@ struct get_all_motifs
 
             size_t n;
             if (random() < p)
-                n = ceil(V.size()*p);
+                n = size_t(ceil(V.size()*p));
             else
-                n = floor(V.size()*p);
+                n = size_t(floor(V.size()*p));
 
             typedef tr1::uniform_int<size_t> idist_t;
             for (size_t i = 0; i < n; ++i)

src/graph/community/graph_community.cc

@@ -33,9 +33,8 @@ using namespace graph_tool;
 
 void community_structure(GraphInterface& g, double gamma, string corr_name,
                          size_t n_iter, double Tmin, double Tmax, size_t Nspins,
-                         bool new_spins, size_t seed, bool verbose,
-                         string history_file, boost::any weight,
-                         boost::any property)
+                         size_t seed, bool verbose, string history_file,
+                         boost::any weight, boost::any property)
 {
     typedef property_map_types::apply<mpl::vector<int32_t,int64_t>,
                                       GraphInterface::vertex_index_map_t,

src/graph/community/graph_community.hh

@@ -90,11 +90,11 @@ struct get_communities
 
         // init spins from [0,N-1] and global info
         tr1::uniform_int<size_t> sample_spin(0, n_spins-1);
-        typename graph_traits<Graph>::vertex_iterator v,v_end;
-        for (tie(v,v_end) = vertices(g); v != v_end; ++v)
+        typename graph_traits<Graph>::vertex_iterator vi,vi_end;
+        for (tie(vi,vi_end) = vertices(g); vi != vi_end; ++vi)
         {
-            s[*v] = temp_s[*v] = sample_spin(rng);
-            Ns[s[*v]]++;
+            s[*vi] = temp_s[*vi] = sample_spin(rng);
+            Ns[s[*vi]]++;
         }
 
         NNKS<Graph,CommunityMap> Nnnks(g, s); // this will retrieve the expected
@@ -233,11 +233,11 @@ struct get_communities
 
         // rename spins, starting from zero
         unordered_map<size_t,size_t> spins;
-        for (tie(v,v_end) = vertices(g); v != v_end; ++v)
+        for (tie(vi,vi_end) = vertices(g); vi != vi_end; ++vi)
         {
-            if (spins.find(s[*v]) == spins.end())
-                spins[s[*v]] = spins.size() - 1;
-            s[*v] = spins[s[*v]];
+            if (spins.find(s[*vi]) == spins.end())
+                spins[s[*vi]] = spins.size() - 1;
+            s[*vi] = spins[s[*vi]];
         }
 
     }
@@ -262,7 +262,7 @@ public:
         _p = _avg_k/(N*N);
     }
 
-    void Update(size_t k, size_t old_s, size_t s)
+    void Update(size_t, size_t old_s, size_t s)
     {
         _Ns[old_s]--;
         if (_Ns[old_s] == 0)
@@ -270,7 +270,7 @@ public:
         _Ns[s]++;
     }
 
-    double operator()(size_t k, size_t s) const
+    double operator()(size_t, size_t s) const
     {
         size_t ns = 0;
         typeof(_Ns.begin()) iter = _Ns.find(s);
@@ -343,14 +343,14 @@ public:
         typename graph_traits<Graph>::edge_iterator e,e_end;
         for (tie(e,e_end) = edges(_g); e != e_end; ++e)
         {
-            typename graph_traits<Graph>::vertex_descriptor s, t;
+            typename graph_traits<Graph>::vertex_descriptor src, tgt;
 
-            s = source(*e,g);
-            t = target(*e,g);
-            if (s != t)
+            src = source(*e,g);
+            tgt = target(*e,g);
+            if (src != tgt)
             {
-                size_t k1 = out_degree_no_loops(s, g);
-                size_t k2 = out_degree_no_loops(t, g);
+                size_t k1 = out_degree_no_loops(src, g);
+                size_t k2 = out_degree_no_loops(tgt, g);
                 _Pkk[k1][k2]++;
                 _Pkk[k2][k1]++;
                 E++;

src/graph/community/graph_community_network.cc

@@ -50,7 +50,7 @@ struct get_community_network_dispatch
               class VertexWeightMap, class EdgeWeightMap, class EdgeIndex,
               class VertexIndex>
     void operator()(const Graph& g, CommunityGraph& cg,
-                    VertexIndex cvertex_index, EdgeIndex cedge_index,
+                    VertexIndex, EdgeIndex cedge_index,
                     CommunityMap s_map, boost::any acs_map,
                     VertexWeightMap vweight, EdgeWeightMap eweight,
                     pair<boost::any,boost::any> count) const
@@ -67,7 +67,7 @@ struct get_community_network_dispatch
         vweight_t vertex_count = boost::any_cast<vweight_t>(count.first);
         eweight_t edge_count = boost::any_cast<eweight_t>(count.second);
 
-        get_community_network()(g, cg, cvertex_index, cedge_index, s_map,
+        get_community_network()(g, cg, cedge_index, s_map,
                                 cs_map, vweight, eweight, vertex_count,
                                 edge_count, _self_loops);
     }

src/graph/community/graph_community_network.hh

@@ -37,11 +37,9 @@ using namespace boost;
 struct get_community_network
 {
     template <class Graph, class CommunityGraph, class CommunityMap,
-              class CCommunityMap,
-              class VertexWeightMap, class EdgeWeightMap, class EdgeIndex,
-              class VertexIndex, class VertexProperty, class EdgeProperty>
-    void operator()(const Graph& g, CommunityGraph& cg,
-                    VertexIndex cvertex_index, EdgeIndex cedge_index,
+              class CCommunityMap, class VertexWeightMap, class EdgeWeightMap,
+              class EdgeIndex, class VertexProperty, class EdgeProperty>
+    void operator()(const Graph& g, CommunityGraph& cg, EdgeIndex cedge_index,
                     CommunityMap s_map, CCommunityMap cs_map,
                     VertexWeightMap vweight, EdgeWeightMap eweight,
                     VertexProperty vertex_count, EdgeProperty edge_count,
@@ -60,12 +58,12 @@ struct get_community_network
 
         tr1::unordered_map<s_type, pair<vector<vertex_t>, vprop_type>, hash<s_type> >
             comms;
-        typename graph_traits<Graph>::vertex_iterator v, v_end;
-        for (tie(v, v_end) = vertices(g); v != v_end; ++v)
+        typename graph_traits<Graph>::vertex_iterator vi, vi_end;
+        for (tie(vi, vi_end) = vertices(g); vi != vi_end; ++vi)
         {
-            pair<vector<vertex_t>, vprop_type>& m = comms[get(s_map, *v)];
-            m.first.push_back(*v);
-            m.second += get(vweight, *v);
+            pair<vector<vertex_t>, vprop_type>& m = comms[get(s_map, *vi)];
+            m.first.push_back(*vi);
+            m.second += get(vweight, *vi);
         }
 
         // create vertices
@@ -123,16 +121,16 @@ struct get_community_network
     void put_dispatch(PropertyMap cs_map,
                       const typename property_traits<PropertyMap>::key_type& v,
                       const typename property_traits<PropertyMap>::value_type& val,
-                      mpl::true_ is_writable) const
+                      mpl::true_ /*is_writable*/) const
     {
         put(cs_map, v, val);
     }
 
     template <class PropertyMap>
-    void put_dispatch(PropertyMap cs_map,
-                      const typename property_traits<PropertyMap>::key_type& v,
-                      const typename property_traits<PropertyMap>::value_type& val,
-                      mpl::false_ is_writable) const
+    void put_dispatch(PropertyMap,
+                      const typename property_traits<PropertyMap>::key_type&,
+                      const typename property_traits<PropertyMap>::value_type&,
+                      mpl::false_ /*is_writable*/) const
     {
     }
 

src/graph/correlations/graph_assortativity.hh

@@ -58,11 +58,11 @@ struct get_assortativity_coefficient
             if (v == graph_traits<Graph>::null_vertex())
                 continue;
 
-            double k1 = deg(v, g);
+            double k1 = double(deg(v, g));
             typename graph_traits<Graph>::out_edge_iterator e, e_end;
             for (tie(e,e_end) = out_edges(v, g); e != e_end; ++e)
             {
-                double k2 = deg(target(*e, g), g);
+                double k2 = double(deg(target(*e, g), g));
                 if (k1 == k2)
                     e_kk += c;
                 sa[k1] += c;
@@ -93,11 +93,11 @@ struct get_assortativity_coefficient
             if (v == graph_traits<Graph>::null_vertex())
                 continue;
 
-            double k1 = deg(v, g);
+            double k1 = double(deg(v, g));
             typename graph_traits<Graph>::out_edge_iterator e, e_end;
             for (tie(e,e_end) = out_edges(v, g); e != e_end; ++e)
             {
-                double k2 = deg(target(*e,g),g);
+                double k2 = double(deg(target(*e,g),g));
                 double tl2 = (t2*(n_edges*n_edges) - b[k1] - a[k2])/
                     ((n_edges-1)*(n_edges-1));
                 double tl1 = t1*n_edges;
@@ -137,11 +137,11 @@ struct get_scalar_assortativity_coefficient
             if (v == graph_traits<Graph>::null_vertex())
                 continue;
 
-            double k1 = deg(v, g);
+            double k1 = double(deg(v, g));
             typename graph_traits<Graph>::out_edge_iterator e, e_end;
             for (tie(e,e_end) = out_edges(v, g); e != e_end; ++e)
             {
-                double k2 = deg(target(*e,g),g);
+                double k2 = double(deg(target(*e,g),g));
                 a += k1*c;
                 da += k1*k1*c;
                 b += k2*c;
@@ -174,14 +174,14 @@ struct get_scalar_assortativity_coefficient
             if (v == graph_traits<Graph>::null_vertex())
                 continue;
 
-            double k1 = deg(v, g);
+            double k1 = double(deg(v, g));
             double al = (a*n_edges - k1)/(n_edges-1);
             double dal = sqrt((da - k1*k1)/(n_edges-1) - al*al);
 
             typename graph_traits<Graph>::out_edge_iterator e, e_end;
             for (tie(e,e_end) = out_edges(v, g); e != e_end; ++e)
             {
-                double k2 = deg(target(*e, g), g);
+                double k2 = double(deg(target(*e, g), g));
                 double bl = (b*n_edges - k2)/(n_edges-1);
                 double dbl = sqrt((db - k2*k2)/(n_edges-1) - bl*bl);
                 double t1l = (e_xy - k1*k2)/(n_edges-1);

src/graph/correlations/graph_avg_correlations.hh

@@ -79,7 +79,7 @@ struct get_avg_correlation
         s_sum2.Gather();
         s_count.Gather();
 
-        for (size_t i = 0; i < sum.GetArray().size(); ++i)
+        for (i = 0; i < int(sum.GetArray().size()); ++i)
         {
             sum.GetArray()[i] /= count.GetArray()[i];
             sum2.GetArray()[i] =

src/graph/correlations/graph_correlations.hh

@@ -44,7 +44,8 @@ public:
                     Hist& hist)
     {
         typename Hist::point_t k;
-        k[0] = deg1(v, g);
+        typedef typename Hist::point_t::value_type val_t;