1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295
|
//
// Copyright (C) 2003-2017 Greg Landrum and Rational Discovery LLC
// @@ All Rights Reserved @@
// This file is part of the RDKit.
// The contents are covered by the terms of the BSD license
// which is included in the file license.txt, found at the root
// of the RDKit source tree.
//
#define NO_IMPORT_ARRAY
#define PY_ARRAY_UNIQUE_SYMBOL rdpicker_array_API
#include <RDBoost/python.h>
#include <RDBoost/Wrap.h>
#include <RDBoost/boost_numpy.h>
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <numpy/arrayobject.h>
#include <map>
#include <DataStructs/BitVects.h>
#include <DataStructs/BitOps.h>
#include <SimDivPickers/DistPicker.h>
#include <SimDivPickers/MaxMinPicker.h>
#include <SimDivPickers/HierarchicalClusterPicker.h>
#include <iostream>
#include <utility>
namespace python = boost::python;
namespace RDPickers {
// REVIEW: the poolSize can be pulled from the numeric array
RDKit::INT_VECT MaxMinPicks(MaxMinPicker *picker, python::object distMat,
int poolSize, int pickSize,
python::object firstPicks, int seed) {
if (pickSize >= poolSize) {
throw ValueErrorException("pickSize must be less than poolSize");
}
if (!PyArray_Check(distMat.ptr())) {
throw ValueErrorException("distance mat argument must be a numpy matrix");
}
PyArrayObject *copy;
copy = (PyArrayObject *)PyArray_ContiguousFromObject(distMat.ptr(),
NPY_DOUBLE, 1, 1);
double *dMat = (double *)PyArray_DATA(copy);
RDKit::INT_VECT firstPickVect;
for (unsigned int i = 0;
i < python::extract<unsigned int>(firstPicks.attr("__len__")()); ++i) {
firstPickVect.push_back(python::extract<int>(firstPicks[i]));
}
RDKit::INT_VECT res =
picker->pick(dMat, poolSize, pickSize, firstPickVect, seed);
Py_DECREF(copy);
return res;
}
class pyobjFunctor {
public:
pyobjFunctor(python::object obj) : dp_obj(std::move(obj)) {}
~pyobjFunctor() {}
double operator()(unsigned int i, unsigned int j) {
return python::extract<double>(dp_obj(i, j));
}
private:
python::object dp_obj;
};
namespace {
template <typename T>
void LazyMaxMinHelper(MaxMinPicker *picker, T functor, unsigned int poolSize,
unsigned int pickSize, python::object firstPicks,
int seed, RDKit::INT_VECT &res, double &threshold) {
RDKit::INT_VECT firstPickVect;
for (unsigned int i = 0;
i < python::extract<unsigned int>(firstPicks.attr("__len__")()); ++i) {
firstPickVect.push_back(python::extract<int>(firstPicks[i]));
}
res = picker->lazyPick(functor, poolSize, pickSize, firstPickVect, seed,
threshold);
}
} // end of anonymous namespace
RDKit::INT_VECT LazyMaxMinPicks(MaxMinPicker *picker, python::object distFunc,
int poolSize, int pickSize,
python::object firstPicks, int seed,
python::object useCache) {
if (useCache != python::object()) {
BOOST_LOG(rdWarningLog) << "the useCache argument is deprecated and ignored"
<< std::endl;
}
pyobjFunctor functor(distFunc);
RDKit::INT_VECT res;
double threshold = -1.;
LazyMaxMinHelper(picker, functor, poolSize, pickSize, firstPicks, seed, res,
threshold);
return res;
}
python::tuple LazyMaxMinPicksWithThreshold(
MaxMinPicker *picker, python::object distFunc, int poolSize, int pickSize,
double threshold, python::object firstPicks, int seed) {
pyobjFunctor functor(distFunc);
RDKit::INT_VECT res;
LazyMaxMinHelper(picker, functor, poolSize, pickSize, firstPicks, seed, res,
threshold);
return python::make_tuple(res, threshold);
}
// NOTE: TANIMOTO and DICE provably return the same results for the diversity
// picking this is still here just in case we ever later want to support other
// methods.
typedef enum { TANIMOTO = 1, DICE } DistanceMethod;
template <typename BV>
class pyBVFunctor {
public:
pyBVFunctor(const std::vector<const BV *> &obj, DistanceMethod method)
: d_obj(obj), d_method(method) {}
~pyBVFunctor() {}
double operator()(unsigned int i, unsigned int j) {
double res = 0.0;
switch (d_method) {
case TANIMOTO:
res = 1. - TanimotoSimilarity(*d_obj[i], *d_obj[j]);
break;
case DICE:
res = 1. - DiceSimilarity(*d_obj[i], *d_obj[j]);
break;
default:
throw_value_error("unsupported similarity value");
}
return res;
}
private:
const std::vector<const BV *> &d_obj;
DistanceMethod d_method;
};
RDKit::INT_VECT LazyVectorMaxMinPicks(MaxMinPicker *picker, python::object objs,
int poolSize, int pickSize,
python::object firstPicks, int seed,
python::object useCache) {
if (useCache != python::object()) {
BOOST_LOG(rdWarningLog) << "the useCache argument is deprecated and ignored"
<< std::endl;
}
std::vector<const ExplicitBitVect *> bvs(poolSize);
for (int i = 0; i < poolSize; ++i) {
bvs[i] = python::extract<const ExplicitBitVect *>(objs[i]);
}
pyBVFunctor<ExplicitBitVect> functor(bvs, TANIMOTO);
RDKit::INT_VECT res;
double threshold = -1.;
LazyMaxMinHelper(picker, functor, poolSize, pickSize, firstPicks, seed, res,
threshold);
return res;
}
python::tuple LazyVectorMaxMinPicksWithThreshold(
MaxMinPicker *picker, python::object objs, int poolSize, int pickSize,
double threshold, python::object firstPicks, int seed) {
std::vector<const ExplicitBitVect *> bvs(poolSize);
for (int i = 0; i < poolSize; ++i) {
bvs[i] = python::extract<const ExplicitBitVect *>(objs[i]);
}
pyBVFunctor<ExplicitBitVect> functor(bvs, TANIMOTO);
RDKit::INT_VECT res;
LazyMaxMinHelper(picker, functor, poolSize, pickSize, firstPicks, seed, res,
threshold);
return python::make_tuple(res, threshold);
}
} // end of namespace RDPickers
struct MaxMin_wrap {
static void wrap() {
python::class_<RDPickers::MaxMinPicker>(
"MaxMinPicker",
"A class for diversity picking of items using the MaxMin Algorithm\n")
.def("Pick", RDPickers::MaxMinPicks,
(python::arg("self"), python::arg("distMat"),
python::arg("poolSize"), python::arg("pickSize"),
python::arg("firstPicks") = python::tuple(),
python::arg("seed") = -1),
"Pick a subset of items from a pool of items using the MaxMin "
"Algorithm\n"
"Ashton, M. et. al., Quant. Struct.-Act. Relat., 21 (2002), "
"598-604 \n\n"
"ARGUMENTS:\n"
" - distMat: 1D distance matrix (only the lower triangle "
"elements)\n"
" - poolSize: number of items in the pool\n"
" - pickSize: number of items to pick from the pool\n"
" - firstPicks: (optional) the first items to be picked (seeds "
"the list)\n"
" - seed: (optional) seed for the random number generator\n")
.def("LazyPick", RDPickers::LazyMaxMinPicks,
(python::arg("self"), python::arg("distFunc"),
python::arg("poolSize"), python::arg("pickSize"),
python::arg("firstPicks") = python::tuple(),
python::arg("seed") = -1,
python::arg("useCache") = python::object()),
"Pick a subset of items from a pool of items using the MaxMin "
"Algorithm\n"
"Ashton, M. et. al., Quant. Struct.-Act. Relat., 21 (2002), "
"598-604 \n"
"ARGUMENTS:\n\n"
" - distFunc: a function that should take two indices and return "
"the\n"
" distance between those two points.\n"
" NOTE: the implementation caches distance values, "
"so the\n"
" client code does not need to do so; indeed, it "
"should not.\n"
" - poolSize: number of items in the pool\n"
" - pickSize: number of items to pick from the pool\n"
" - firstPicks: (optional) the first items to be picked (seeds "
"the list)\n"
" - seed: (optional) seed for the random number generator\n"
" - useCache: IGNORED\n")
.def("LazyBitVectorPick", RDPickers::LazyVectorMaxMinPicks,
(python::arg("self"), python::arg("objects"),
python::arg("poolSize"), python::arg("pickSize"),
python::arg("firstPicks") = python::tuple(),
python::arg("seed") = -1,
python::arg("useCache") = python::object()),
"Pick a subset of items from a pool of bit vectors using the "
"MaxMin Algorithm\n"
"Ashton, M. et. al., Quant. Struct.-Act. Relat., 21 (2002), "
"598-604 \n"
"ARGUMENTS:\n\n"
" - vectors: a sequence of the bit vectors that should be picked "
"from.\n"
" - poolSize: number of items in the pool\n"
" - pickSize: number of items to pick from the pool\n"
" - firstPicks: (optional) the first items to be picked (seeds "
"the list)\n"
" - seed: (optional) seed for the random number generator\n"
" - useCache: IGNORED.\n")
.def("LazyPickWithThreshold", RDPickers::LazyMaxMinPicksWithThreshold,
(python::arg("self"), python::arg("distFunc"),
python::arg("poolSize"), python::arg("pickSize"),
python::arg("threshold"),
python::arg("firstPicks") = python::tuple(),
python::arg("seed") = -1),
"Pick a subset of items from a pool of items using the MaxMin "
"Algorithm\n"
"Ashton, M. et. al., Quant. Struct.-Act. Relat., 21 (2002), "
"598-604 \n"
"ARGUMENTS:\n\n"
" - distFunc: a function that should take two indices and return "
"the\n"
" distance between those two points.\n"
" NOTE: the implementation caches distance values, "
"so the\n"
" client code does not need to do so; indeed, it "
"should not.\n"
" - poolSize: number of items in the pool\n"
" - pickSize: number of items to pick from the pool\n"
" - threshold: stop picking when the distance goes below this "
"value\n"
" - firstPicks: (optional) the first items to be picked (seeds "
"the list)\n"
" - seed: (optional) seed for the random number generator\n")
.def("LazyBitVectorPickWithThreshold",
RDPickers::LazyVectorMaxMinPicksWithThreshold,
(python::arg("self"), python::arg("objects"),
python::arg("poolSize"), python::arg("pickSize"),
python::arg("threshold"),
python::arg("firstPicks") = python::tuple(),
python::arg("seed") = -1),
"Pick a subset of items from a pool of bit vectors using the "
"MaxMin Algorithm\n"
"Ashton, M. et. al., Quant. Struct.-Act. Relat., 21 (2002), "
"598-604 \n"
"ARGUMENTS:\n\n"
" - vectors: a sequence of the bit vectors that should be picked "
"from.\n"
" - poolSize: number of items in the pool\n"
" - pickSize: number of items to pick from the pool\n"
" - threshold: stop picking when the distance goes below this "
"value\n"
" - firstPicks: (optional) the first items to be picked (seeds "
"the list)\n"
" - seed: (optional) seed for the random number generator\n");
};
};
void wrap_maxminpick() { MaxMin_wrap::wrap(); }
|