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boost python numeric no longer exists in boost 1.65, so check boost version and conditionally use boost python numpy.
187 lines
6.2 KiB
C++
187 lines
6.2 KiB
C++
// $Id$
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//
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// Copyright (C) 2004-2008 Greg Landrum and Rational Discovery LLC
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//
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// @@ All Rights Reserved @@
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// This file is part of the RDKit.
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// The contents are covered by the terms of the BSD license
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// which is included in the file license.txt, found at the root
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// of the RDKit source tree.
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//
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#define PY_ARRAY_UNIQUE_SYMBOL rdalignment_array_API
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#include <RDBoost/python.h>
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#include <RDBoost/boost_numpy.h>
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#include <RDBoost/import_array.h>
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#include <RDBoost/PySequenceHolder.h>
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#include <RDBoost/Wrap.h>
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#include <Geometry/point.h>
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#include <Numerics/Alignment/AlignPoints.h>
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namespace python = boost::python;
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namespace RDNumeric {
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namespace Alignments {
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void GetPointsFromPythonSequence(python::object &points,
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RDGeom::Point3DConstPtrVect &pts) {
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PyObject *pyObj = points.ptr();
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unsigned int nrows, ncols;
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double *data;
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if (PyArray_Check(pyObj)) {
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// get the dimensions of the array
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PyArrayObject *ptsMat = reinterpret_cast<PyArrayObject *>(pyObj);
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nrows = PyArray_DIM(ptsMat, 0);
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ncols = PyArray_DIM(ptsMat, 1);
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if (ncols != 3) throw_value_error("Wrong dimension for the points array");
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data = reinterpret_cast<double *>(PyArray_DATA(ptsMat));
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for (unsigned int i = 0; i < nrows; i++) {
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auto *rpt =
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new RDGeom::Point3D(data[i * 3], data[i * 3 + 1], data[i * 3 + 2]);
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pts.push_back(rpt);
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}
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} else if (PySequence_Check(pyObj)) {
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nrows = PySequence_Size(pyObj);
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if (nrows <= 0) throw_value_error("Empty sequence passed in");
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python::extract<RDGeom::Point3D> ptOk(points[0]);
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if (!ptOk.check()) {
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for (unsigned int i = 0; i < nrows; i++) {
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PySequenceHolder<double> row(points[i]);
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if (row.size() != 3)
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throw_value_error("Wrong number of entries in the list of lists");
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auto *rpt = new RDGeom::Point3D(row[0], row[1], row[2]);
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pts.push_back(rpt);
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}
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} else {
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for (unsigned int i = 0; i < nrows; i++) {
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python::extract<RDGeom::Point3D> pt(points[i]);
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if (pt.check()) {
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auto *rpt = new RDGeom::Point3D(pt);
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pts.push_back(rpt);
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} else {
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throw_value_error("non-Point3D found in sequence of points");
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}
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}
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}
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} else {
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throw_value_error("non-sequence argument provided");
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}
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}
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PyObject *AlignPointPairs(python::object refPoints, python::object probePoints,
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python::object weights = python::list(),
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bool reflect = false,
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unsigned int maxIterations = 50) {
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// The reference and probe points can be specifed in two formats
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// 1. A Numeric array of dimensions (N,3) where N is the number of points
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// 2. A list (or tuple) or lists (or tuples)
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//
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// The similar thing applies to weights
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// 1. Can be a numeric vector of size N
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// 2. A list of doubles of size N
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// first deal with situation where we have Numerics arrays
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RDGeom::Point3DConstPtrVect refPts, probePts;
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GetPointsFromPythonSequence(refPoints, refPts);
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GetPointsFromPythonSequence(probePoints, probePts);
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unsigned int npt = refPts.size();
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if (npt != probePts.size())
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throw_value_error("Mis-match in number of points");
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PyObject *weightsObj = weights.ptr();
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RDNumeric::DoubleVector *wtsVec;
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wtsVec = nullptr;
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double *data;
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if (PyArray_Check(weightsObj)) {
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PyArrayObject *wtsMat = reinterpret_cast<PyArrayObject *>(weightsObj);
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unsigned int nwts = PyArray_DIM(wtsMat, 0);
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if (nwts != npt)
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throw_value_error(
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"Number of weights supplied do not match the number of points");
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wtsVec = new RDNumeric::DoubleVector(nwts);
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data = reinterpret_cast<double *>(PyArray_DATA(wtsMat));
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for (unsigned int i = 0; i < nwts; i++) {
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wtsVec->setVal(i, data[i]);
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}
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} else {
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PySequenceHolder<double> wts(weights);
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unsigned int nwts = wts.size();
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if (nwts > 0) {
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if (nwts != npt)
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throw_value_error(
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"Number of weights supplied do not match the number of points");
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wtsVec = new RDNumeric::DoubleVector(nwts);
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for (unsigned int i = 0; i < npt; i++) {
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wtsVec->setVal(i, wts[i]);
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}
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}
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}
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RDGeom::Transform3D trans;
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double ssd =
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AlignPoints(refPts, probePts, trans, wtsVec, reflect, maxIterations);
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npy_intp dims[2];
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dims[0] = 4;
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dims[1] = 4;
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PyArrayObject *res = (PyArrayObject *)PyArray_SimpleNew(2, dims, NPY_DOUBLE);
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double *resData = reinterpret_cast<double *>(PyArray_DATA(res));
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const double *tdata = trans.getData();
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for (unsigned int i = 0; i < trans.numRows(); ++i) {
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unsigned int itab = i * 4;
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for (unsigned int j = 0; j < trans.numRows(); ++j) {
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resData[itab + j] = tdata[itab + j];
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}
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}
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delete wtsVec;
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for (unsigned int i = 0; i < npt; ++i) {
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delete probePts[i];
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delete refPts[i];
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}
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PyObject *resTup = PyTuple_New(2);
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PyObject *ssdItem = PyFloat_FromDouble(ssd);
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PyTuple_SetItem(resTup, 0, ssdItem);
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PyTuple_SetItem(resTup, 1, PyArray_Return(res));
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return resTup;
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}
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}
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}
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BOOST_PYTHON_MODULE(rdAlignment) {
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rdkit_import_array();
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python::scope().attr("__doc__") =
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"Module containing functions to align pairs of points in 3D";
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std::string docString =
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"Compute the optimal alignment (minimum RMSD) between two set of points \n\n\
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\n\
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ARGUMENTS:\n\n\
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- refPoints : reference points sepcified as a N by 3 Numeric array or \n\
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sequence of 3-sequences or sequence of Point3Ds \n\
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- probePoints : probe points to align to reference points - same format \n\
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restrictions as reference points apply here \n\
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- weights : optional numeric vector or list of weights to associate to each pair of points\n\
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- reflect : reflect the probe points before attempting alignment\n\
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- maxIteration : maximum number of iterations to try to minimize RMSD \n\
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\n\
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RETURNS:\n\n\
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a 2-tuple:\n\
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- SSD value for the alignment\n\
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- the 4x4 transform matrix, as a Numeric array\n\
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\n";
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python::def(
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"GetAlignmentTransform", RDNumeric::Alignments::AlignPointPairs,
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(python::arg("refPoints"), python::arg("probePoints"),
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python::arg("weights") = python::list(), python::arg("reflect") = false,
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python::arg("maxIterations") = 50),
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docString.c_str());
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}
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