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// Copyright 2017 Global Phasing Ltd.
#include "gemmi/version.hpp" // for GEMMI_VERSION
#include "gemmi/math.hpp" // for hc
#include "gemmi/dirwalk.hpp" // for CifWalk, CoorFileWalk
#include "gemmi/pdb_id.hpp" // for expand_if_pdb_code
#include "gemmi/bessel.hpp" // for bessel_i1_over_i0
#include "gemmi/pirfasta.hpp" // for read_pir_or_fasta
#include "gemmi/seqtools.hpp" // for calculate_sequence_weight
#include "gemmi/stats.hpp" // for Correlation
#include "tao/pegtl/parse_error.hpp" // for parse_error
#include "common.h"
#include <pybind11/stl.h>
#include <pybind11/numpy.h> // for vectorize
namespace py = pybind11;
namespace {
template<typename T> int get_max_bin(const T& bins) {
int max_bin = 0;
for (int i = 0; i < bins.shape(0); ++i) {
if (bins(i) < 0)
throw py::value_error("bins argument must have no negative elements");
max_bin = std::max(max_bin, bins(i));
}
if (max_bin > 1000000)
throw py::value_error("bin numbers must be smaller than million");
return max_bin;
}
} // anonymous namespace
void add_misc(py::module& m) {
py::class_<gemmi::CifWalk>(m, "CifWalk")
.def(py::init<const char*, char>(), py::arg("path"), py::arg("try_pdbid")='\0')
.def("__iter__", [](gemmi::CifWalk& self) {
return py::make_iterator(self);
}, py::keep_alive<0, 1>());
py::class_<gemmi::CoorFileWalk>(m, "CoorFileWalk")
.def(py::init<const char*, char>(), py::arg("path"), py::arg("try_pdbid")='\0')
.def("__iter__", [](gemmi::CoorFileWalk& self) {
return py::make_iterator(self);
}, py::keep_alive<0, 1>());
m.def("is_pdb_code", &gemmi::is_pdb_code);
m.def("expand_pdb_code_to_path", &gemmi::expand_pdb_code_to_path,
py::arg("code"), py::arg("filetype"), py::arg("throw_if_unset")=false);
m.def("expand_if_pdb_code", &gemmi::expand_if_pdb_code,
py::arg("code"), py::arg("filetype")='M');
m.attr("hc") = py::float_(gemmi::hc());
m.def("bessel_i1_over_i0", py::vectorize(gemmi::bessel_i1_over_i0));
m.def("log_bessel_i0", py::vectorize(gemmi::log_bessel_i0));
m.def("log_cosh", py::vectorize([](double x) {
// ln(cosh(x)) = ln(e^x + e^-x) - ln(2) = ln(e^x * (1 + e^-2x)) - ln(2)
x = std::abs(x);
return x + std::log1p(std::exp(-2 * x)) - std::log(2);
}));
// pirfasta.hpp
py::class_<gemmi::FastaSeq>(m, "FastaSeq")
.def_readonly("header", &gemmi::FastaSeq::header)
.def_readonly("seq", &gemmi::FastaSeq::seq)
;
m.def("read_pir_or_fasta", &gemmi::read_pir_or_fasta);
// seqtools.hpp
m.def("calculate_sequence_weight", &gemmi::calculate_sequence_weight,
py::arg("sequence"), py::arg("unknown")=0.);
m.def("one_letter_code", &gemmi::one_letter_code);
m.def("pdbx_one_letter_code", &gemmi::pdbx_one_letter_code);
m.def("sequence_kind", &gemmi::sequence_kind);
// stats.hpp
py::class_<gemmi::Correlation>(m, "Correlation")
.def_readonly("n", &gemmi::Correlation::n)
.def("coefficient", &gemmi::Correlation::coefficient)
.def("mean_ratio", &gemmi::Correlation::mean_ratio)
;
// utilities inspired by numpy.bincount()
m.def("binmean", [](py::array_t<int> bins, py::array_t<double> values) {
auto bins_ = bins.unchecked<1>();
auto values_ = values.unchecked<1>();
auto len = bins_.shape(0);
if (len != values_.shape(0))
throw std::domain_error("arrays have different lengths");
int ret_size = get_max_bin(bins_) + 1;
py::array_t<double> ret(ret_size);
double* retp = (double*) ret.request().ptr;
for (int i = 0; i != ret_size; ++i)
retp[i] = 0.;
std::vector<int> counts(ret_size);
for (int i = 0; i != len; ++i)
if (!std::isnan(values_(i))) {
int n = bins_(i);
counts[n]++;
retp[n] += values_(i);
}
for (int i = 0; i != ret_size; ++i)
retp[i] /= counts[i];
return ret;
}, py::arg("nbins"), py::arg("values"));
m.def("binrfactor", [](py::array_t<int> bins, py::array_t<double> obs,
py::array_t<double> calc, bool riso) {
auto bins_ = bins.unchecked<1>();
auto obs_ = obs.unchecked<1>();
auto calc_ = calc.unchecked<1>();
auto len = bins_.shape(0);
if (len != obs_.shape(0) || len != calc_.shape(0))
throw std::domain_error("arrays have different lengths");
int ret_size = get_max_bin(bins_) + 1;
py::array_t<double> ret(ret_size);
double* retp = (double*) ret.request().ptr;
for (int i = 0; i != ret_size; ++i)
retp[i] = 0.;
std::vector<double> sum_fobs(ret_size);
for (int i = 0; i != len; ++i)
if (!std::isnan(obs_(i)) && !std::isnan(calc_(i))) {
int n = bins_(i);
retp[n] += std::fabs(obs_(i) - calc_(i));
sum_fobs[n] += riso ? (obs_(i) + calc_(i)) : obs_(i);
}
for (int i = 0; i != ret_size; ++i)
retp[i] /= (riso ? 0.5 * sum_fobs[i] : sum_fobs[i]);
return ret;
}, py::arg("nbins"), py::arg("obs"), py::arg("calc"), py::arg("riso")=false);
m.def("bincorr", [](py::array_t<int> bins, py::array_t<double> obs,
py::array_t<double> calc) {
auto bins_ = bins.unchecked<1>();
auto obs_ = obs.unchecked<1>();
auto calc_ = calc.unchecked<1>();
auto len = bins_.shape(0);
if (len != obs_.shape(0) || len != calc_.shape(0))
throw std::domain_error("arrays have different lengths");
int ret_size = get_max_bin(bins_) + 1;
std::vector<gemmi::Correlation> cor(ret_size);
for (int i = 0; i != len; ++i)
if (!std::isnan(obs_(i)) && !std::isnan(calc_(i)))
cor[bins_(i)].add_point(obs_(i), calc_(i));
return cor;
}, py::arg("nbins"), py::arg("obs"), py::arg("calc"));
}
PYBIND11_MODULE(gemmi, mg) {
mg.doc() = "Python bindings to GEMMI - a library used in macromolecular\n"
"crystallography and related fields";
mg.attr("__version__") = GEMMI_VERSION;
py::register_exception_translator([](std::exception_ptr p) {
try {
if (p)
std::rethrow_exception(p);
} catch (const std::system_error &e) {
const int errornum = e.code().value();
PyErr_SetObject(PyExc_IOError, py::make_tuple(errornum, e.what()).ptr());
} catch (const tao::pegtl::parse_error &e) {
PyErr_SetString(PyExc_ValueError, e.what());
}
});
py::module cif = mg.def_submodule("cif", "CIF file format");
add_cif(cif);
add_symmetry(mg);
add_unitcell(mg);
add_elem(mg);
add_meta(mg);
add_mol(mg);
add_small(mg);
add_misc(mg);
add_grid(mg);
add_recgrid(mg);
add_ccp4(mg);
add_sf(mg);
add_cif_read(cif);
add_mtz(mg);
add_hkl(mg);
add_chemcomp(mg);
add_monlib(mg);
add_topo(mg);
add_alignment(mg);
add_search(mg);
add_read_structure(mg);
add_scaling(mg);
add_custom(mg);
}
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