graph_avg_correlations.cc 2.82 KB
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// graph-tool -- a general graph modification and manipulation thingy
//
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// Copyright (C) 2007-2012 Tiago de Paula Peixoto <tiago@skewed.de>
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//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 3
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.

#include "graph_filtering.hh"

#include <boost/python.hpp>

#include "graph.hh"
#include "graph_selectors.hh"
#include "graph_properties.hh"

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#include "graph_avg_correlations.hh"
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#include <iostream>

using namespace std;
using namespace boost;
using namespace graph_tool;

// implementations spread across different compile units to minimize memory
// usage during compilation
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void graph_avg_corr_imp1(GraphInterface& g, python::object& avg,
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                         python::object& dev, python::object& ret_bins,
                         boost::any deg1, boost::any deg2,
                         boost::any weight,
                         const vector<long double>& bins);


typedef ConstantPropertyMap<int,GraphInterface::edge_t> cweight_map_t;

python::object
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get_vertex_avg_correlation(GraphInterface& gi,
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                           GraphInterface::deg_t deg1,
                           GraphInterface::deg_t deg2,
                           boost::any weight,
                           const vector<long double>& bins)
{
    python::object avg, dev;
    python::object ret_bins;

    any weight_prop;
    typedef DynamicPropertyMapWrap<long double, GraphInterface::edge_t>
        wrapped_weight_t;

    if (!weight.empty())
    {
        weight_prop = wrapped_weight_t(weight, edge_scalar_properties());
    }
    else
        weight_prop = cweight_map_t(1);

    try
    {
        run_action<>()(gi, get_avg_correlation<GetNeighboursPairs>
                       (avg, dev, bins, ret_bins),
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                       scalar_selectors(), scalar_selectors(),
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                       mpl::vector<cweight_map_t>())
            (degree_selector(deg1), degree_selector(deg2), weight_prop);
    }
    catch (ActionNotFound&)
    {
        graph_avg_corr_imp1(gi, avg, dev, ret_bins,
                            degree_selector(deg1),
                            degree_selector(deg2), weight_prop, bins);
    }

    return python::make_tuple(avg, dev, ret_bins);
}

using namespace boost::python;

void export_avg_correlations()
{
    def("vertex_avg_correlation", &get_vertex_avg_correlation);
}