GCC Code Coverage Report


Directory: ./
File: bindings/python/crocoddyl/core/activations/smooth-2norm-float.cpp
Date: 2025-04-18 16:41:15
Exec Total Coverage
Lines: 0 6 0.0%
Branches: 0 22 0.0%

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1 ///////////////////////////////////////////////////////////////////////////////
2 // BSD 3-Clause License
3 //
4 // Copyright (C) 2020-2025, LAAS-CNRS, University of Edinburgh
5 // Heriot-Watt University
6 // Copyright note valid unless otherwise stated in individual files.
7 // All rights reserved.
8 ///////////////////////////////////////////////////////////////////////////////
9
10 // Auto-generated file for float
11 #include "crocoddyl/core/activations/smooth-2norm.hpp"
12
13 #include "python/crocoddyl/core/activation-base.hpp"
14 #include "python/crocoddyl/core/core.hpp"
15
16 namespace crocoddyl {
17 namespace python {
18
19 template <typename Model>
20 struct ActivationModelSmooth2NormVisitor
21 : public bp::def_visitor<ActivationModelSmooth2NormVisitor<Model>> {
22 typedef typename Model::Scalar Scalar;
23 template <class PyClass>
24 void visit(PyClass& cl) const {
25 cl.def("calc", &Model::calc, bp::args("self", "data", "r"),
26 "Compute the smooth-2norm function.\n\n"
27 ":param data: activation data\n"
28 ":param r: residual vector")
29 .def("calcDiff", &Model::calcDiff, bp::args("self", "data", "r"),
30 "Compute the derivatives of a smooth-2norm function.\n\n"
31 "It assumes that calc has been run first.\n"
32 ":param data: activation data\n"
33 ":param r: residual vector \n")
34 .def("createData", &Model::createData, bp::args("self"),
35 "Create the smooth-2norm activation data.\n\n");
36 }
37 };
38
39 #define CROCODDYL_ACTIVATION_MODEL_SMOOTH2NORM_PYTHON_BINDINGS(Scalar) \
40 typedef ActivationModelSmooth2NormTpl<Scalar> Model; \
41 typedef ActivationModelAbstractTpl<Scalar> ModelBase; \
42 bp::register_ptr_to_python<std::shared_ptr<Model>>(); \
43 bp::class_<Model, bp::bases<ModelBase>>( \
44 "ActivationModelSmooth2Norm", \
45 "Smooth-2Norm activation model.\n\n" \
46 "It describes a smooth representation of a 2-norm, i.e., sqrt{eps + " \
47 "sum^nr_{i=0} ||ri||^2}, where ri is the scalar residual for the i " \
48 "constraints, and nr is the dimension of the residual vector.", \
49 bp::init<std::size_t, bp::optional<Scalar>>( \
50 bp::args("self", "nr", "eps"), \
51 "Initialize the activation model.\n\n" \
52 ":param nr: dimension of the residual vector\n" \
53 ":param eps: smoothing factor (default: 1.)")) \
54 .def(ActivationModelSmooth2NormVisitor<Model>()) \
55 .def(CastVisitor<Model>()) \
56 .def(PrintableVisitor<Model>()) \
57 .def(CopyableVisitor<Model>());
58
59 void exposeActivationSmooth2Norm() {
60 CROCODDYL_ACTIVATION_MODEL_SMOOTH2NORM_PYTHON_BINDINGS(float)
61 }
62
63 } // namespace python
64 } // namespace crocoddyl
65