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#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <iostream>
#include <sstream>
#include <hera/common.h>
#include <hera/wasserstein.h>
#include <hera/bottleneck.h>
namespace py = pybind11;
using DiagramPoint = hera::DiagramPoint<double>;
using AuctionParams = hera::AuctionParams<double>;
using AuctionResult = hera::AuctionResult<double>;
using PairVector = std::vector<std::pair<double, double>>;
using DgmPtVector = std::vector<DiagramPoint>;
void init_ws_geom(py::module&);
double wasserstein_dist_p(const PairVector& points_1, const PairVector& points_2, AuctionParams& params, const std::vector<double>& prices)
{
return hera::wasserstein_dist(points_1, points_2, params);
}
double wasserstein_cost_p(const PairVector& points_1, const PairVector& points_2, AuctionParams& params, const std::vector<double>& prices)
{
return hera::wasserstein_cost(points_1, points_2, params);
}
double wasserstein_dist_d(const DgmPtVector& points_1, const DgmPtVector& points_2, AuctionParams& params, const std::vector<double>& prices)
{
return hera::wasserstein_dist(points_1, points_2, params);
}
double wasserstein_cost_d(const DgmPtVector& points_1, const DgmPtVector& points_2, AuctionParams& params, const std::vector<double>& prices)
{
return hera::wasserstein_cost(points_1, points_2, params);
}
double bottleneck_distance_approx(const std::vector<std::pair<double, double>>& points_1, const std::vector<std::pair<double, double>>& points_2, double delta)
{
hera::bt::MatchingEdge<double> longest_edge;
return hera::bottleneckDistApprox(points_1, points_2, delta, longest_edge, false);
}
decltype(auto) bottleneck_distance_approx_with_edge(const std::vector<std::pair<double, double>>& points_1, const std::vector<std::pair<double, double>>& points_2, double delta)
{
hera::bt::MatchingEdge<double> longest_edge;
double dist = hera::bottleneckDistApprox(points_1, points_2, delta, longest_edge, true);
return std::make_pair(dist, longest_edge);
}
double bottleneck_distance_exact(const std::vector<std::pair<double, double>>& points_1, const std::vector<std::pair<double, double>>& points_2)
{
hera::bt::MatchingEdge<double> longest_edge;
int dec_precision = 14;
return hera::bottleneckDistExact(points_1, points_2, dec_precision, longest_edge, false);
}
decltype(auto) bottleneck_distance_exact_with_edge(const std::vector<std::pair<double, double>>& points_1, const std::vector<std::pair<double, double>>& points_2)
{
hera::bt::MatchingEdge<double> longest_edge;
int dec_precision = 14;
double dist = hera::bottleneckDistExact(points_1, points_2, dec_precision, longest_edge, true);
return std::make_pair(dist, longest_edge);
}
PYBIND11_MODULE(_hera, m)
{
m.doc() = "Hera python bindings";
py::class_<DiagramPoint>(m, "DiagramPoint")
.def(py::init<double, double, int, int>())
.def("__repr__", [](const DiagramPoint& p) { std::stringstream ss; ss << p; return ss.str(); })
.def("get_birth", &DiagramPoint::getRealX)
.def("get_death", &DiagramPoint::getRealY)
.def_readwrite("id", &DiagramPoint::id)
.def_readwrite("user_tag", &DiagramPoint::user_tag)
;
py::class_<AuctionResult>(m, "WassersteinResult")
.def(py::init<>())
.def_readonly("num_rounds", &AuctionResult::num_rounds)
.def_readonly("num_phases", &AuctionResult::num_phases)
.def_readonly("distance", &AuctionResult::distance)
.def_readonly("cost", &AuctionResult::cost)
.def_readonly("start_epsilon", &AuctionResult::start_epsilon)
.def_readonly("final_epsilon", &AuctionResult::final_epsilon)
.def_readonly("final_relative_error", &AuctionResult::final_relative_error)
.def_readonly("matching_a_to_b", &AuctionResult::matching_a_to_b_)
.def_readonly("matching_b_to_a", &AuctionResult::matching_b_to_a_)
.def_readonly("prices", &AuctionResult::prices)
.def("compute_distance", &AuctionResult::compute_distance)
.def("clear_matching", &AuctionResult::clear_matching)
.def("add_to_matching", &AuctionResult::add_to_matching)
.def("__str__", [](const AuctionResult& r) { std::stringstream ss; ss << r; return ss.str(); })
.def("__repr__", [](const AuctionResult& r) { std::stringstream ss; ss << r; return ss.str(); })
.def(py::pickle(
// __getstate__
[](const AuctionResult& p) { return py::make_tuple(p.num_rounds, p.num_phases, p.distance,
p.cost, p.start_epsilon, p.final_epsilon, p.final_relative_error,
p.prices, p.matching_a_to_b_, p.matching_b_to_a_); },
// __setstate__
[](py::tuple t) {
if (t.size() != 10)
throw std::runtime_error("Invalid tuple for AuctionResult");
AuctionResult p;
p.num_rounds = t[0].cast<decltype(p.num_rounds)>();
p.num_phases = t[1].cast<decltype(p.num_phases)>();
p.distance = t[2].cast<decltype(p.distance)>();
p.cost = t[3].cast<decltype(p.cost)>();
p.start_epsilon = t[4].cast<decltype(p.start_epsilon)>();
p.final_epsilon = t[5].cast<decltype(p.final_epsilon)>();
p.final_relative_error = t[6].cast<decltype(p.final_relative_error)>();
p.prices = t[7].cast<decltype(p.prices)>();
p.matching_a_to_b_ = t[8].cast<decltype(p.matching_a_to_b_)>();
p.matching_b_to_a_ = t[9].cast<decltype(p.matching_b_to_a_)>();
return p;
}))
;
py::class_<AuctionParams>(m, "WassersteinParams")
.def(py::init<>())
.def_readwrite("wasserstein_power", &AuctionParams::wasserstein_power)
.def_readwrite("delta", &AuctionParams::delta)
.def_readwrite("internal_p", &AuctionParams::internal_p)
.def_readwrite("epsilon_common_ratio", &AuctionParams::epsilon_common_ratio)
.def_readwrite("initial_epsilon", &AuctionParams::initial_epsilon)
.def_readwrite("max_num_phases", &AuctionParams::max_num_phases)
.def_readwrite("max_bids_per_round", &AuctionParams::max_bids_per_round)
.def_readwrite("dim", &AuctionParams::dim)
.def_readwrite("tolerate_max_iter_exceeded", &AuctionParams::tolerate_max_iter_exceeded)
.def_readwrite("return_matching", &AuctionParams::return_matching)
.def_readwrite("match_inf_points", &AuctionParams::match_inf_points)
.def("__repr__", [](const AuctionParams& p) { std::stringstream ss; ss << p; return ss.str(); })
.def(py::pickle(
// __getstate__
[](const AuctionParams& p) { return py::make_tuple(p.wasserstein_power, p.delta, p.internal_p,
p.initial_epsilon, p.epsilon_common_ratio, p.max_num_phases, p.max_bids_per_round,
p.dim, p.tolerate_max_iter_exceeded, p.return_matching, p.match_inf_points); },
// __setstate__
[](py::tuple t) {
if (t.size() != 11)
throw std::runtime_error("Invalid tuple for AuctionParams");
AuctionParams p;
p.wasserstein_power = t[0].cast<decltype(p.wasserstein_power)>();
p.delta = t[1].cast<decltype(p.delta)>();
p.internal_p = t[2].cast<decltype(p.internal_p)>();
p.initial_epsilon = t[3].cast<decltype(p.initial_epsilon)>();
p.epsilon_common_ratio = t[4].cast<decltype(p.epsilon_common_ratio)>();
p.max_num_phases = t[5].cast<decltype(p.max_num_phases)>();
p.max_bids_per_round = t[6].cast<decltype(p.max_bids_per_round)>();
p.dim = t[7].cast<decltype(p.dim)>();
p.tolerate_max_iter_exceeded = t[8].cast<decltype(p.tolerate_max_iter_exceeded)>();
p.return_matching = t[9].cast<decltype(p.return_matching)>();
p.match_inf_points = t[10].cast<decltype(p.match_inf_points)>();
return p;
}))
;
// bottleneck
m.def("bottleneck_distance_approx", bottleneck_distance_approx);
m.def("bottleneck_distance_approx_with_edge", bottleneck_distance_approx_with_edge);
m.def("bottleneck_distance_exact", bottleneck_distance_exact);
m.def("bottleneck_distance_exact_with_edge", bottleneck_distance_exact_with_edge);
// Wasserstein
m.def("wasserstein_dist_", wasserstein_dist_p);
m.def("wasserstein_cost_", wasserstein_cost_p);
m.def("wasserstein_dist_", wasserstein_dist_d);
m.def("wasserstein_cost_", wasserstein_cost_d);
// Wasserstein - point clouds
init_ws_geom(m);
}
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