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Add wrapper for vertex_components using adjacency matrix #285

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Add wrapper for vertex_components using adjacency matrix #285

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23 changes: 22 additions & 1 deletion src/vertex_components.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@
#include <igl/vertex_components.h>
#include <nanobind/nanobind.h>
#include <nanobind/eigen/dense.h>
#include <nanobind/eigen/sparse.h>
#include <nanobind/stl/tuple.h>

namespace nb = nanobind;
using namespace nb::literals;
Expand All @@ -16,6 +18,16 @@ namespace pyigl
igl::vertex_components(F, C);
return C;
}

// Wrapper for vertex_components with adjacency matrix
auto vertex_components_from_adjacency_matrix(
const Eigen::SparseMatrixI &adjacency)
{
Eigen::VectorXI c;
Eigen::VectorXI counts;
igl::vertex_components(adjacency, c, counts);
return std::make_tuple(c, counts);
}
}

// Bind the wrappers to the Python module
Expand All @@ -30,4 +42,13 @@ void bind_vertex_components(nb::module_ &m)

@param[in] F Matrix of triangle indices
@return Vector C of component IDs per vertex)");
}

m.def(
"vertex_components_from_adjacency_matrix",
&pyigl::vertex_components_from_adjacency_matrix,
"adjacency"_a,
R"(Compute the connected components of a graph using an adjacency matrix, returning component IDs and counts.

@param[in] adjacency n by n sparse adjacency matrix
@return A tuple (c, counts) where c is an array of component ids (starting with 0) and counts is a #components array of counts for each component)");
}
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