Directory: | ./ |
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File: | bindings/python/crocoddyl/core/diff-action-base.hpp |
Date: | 2025-03-26 19:23:43 |
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1 | /////////////////////////////////////////////////////////////////////////////// | ||
2 | // BSD 3-Clause License | ||
3 | // | ||
4 | // Copyright (C) 2019-2025, 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 | #ifndef BINDINGS_PYTHON_CROCODDYL_CORE_DIFF_ACTION_BASE_HPP_ | ||
11 | #define BINDINGS_PYTHON_CROCODDYL_CORE_DIFF_ACTION_BASE_HPP_ | ||
12 | |||
13 | #include "crocoddyl/core/diff-action-base.hpp" | ||
14 | #include "python/crocoddyl/core/core.hpp" | ||
15 | |||
16 | namespace crocoddyl { | ||
17 | namespace python { | ||
18 | |||
19 | template <typename _Scalar> | ||
20 | class DifferentialActionModelAbstractTpl_wrap | ||
21 | : public DifferentialActionModelAbstractTpl<_Scalar>, | ||
22 | public bp::wrapper<DifferentialActionModelAbstractTpl<_Scalar>> { | ||
23 | public: | ||
24 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
25 | ✗ | CROCODDYL_DERIVED_CAST(DifferentialActionModelBase, | |
26 | DifferentialActionModelAbstractTpl_wrap) | ||
27 | |||
28 | typedef _Scalar Scalar; | ||
29 | typedef typename ScalarSelector<Scalar>::type ScalarType; | ||
30 | typedef typename crocoddyl::DifferentialActionModelAbstractTpl<Scalar> | ||
31 | DifferentialActionModel; | ||
32 | typedef typename crocoddyl::DifferentialActionDataAbstractTpl<Scalar> | ||
33 | DifferentialActionData; | ||
34 | typedef typename crocoddyl::StateAbstractTpl<Scalar> State; | ||
35 | typedef typename DifferentialActionModel::VectorXs VectorXs; | ||
36 | using DifferentialActionModel::ng_; | ||
37 | using DifferentialActionModel::ng_T_; | ||
38 | using DifferentialActionModel::nh_; | ||
39 | using DifferentialActionModel::nh_T_; | ||
40 | using DifferentialActionModel::nr_; | ||
41 | using DifferentialActionModel::nu_; | ||
42 | using DifferentialActionModel::state_; | ||
43 | using DifferentialActionModel::unone_; | ||
44 | |||
45 | 12 | DifferentialActionModelAbstractTpl_wrap(std::shared_ptr<State> state, | |
46 | const std::size_t nu, | ||
47 | const std::size_t nr = 1, | ||
48 | const std::size_t ng = 0, | ||
49 | const std::size_t nh = 0, | ||
50 | const std::size_t ng_T = 0, | ||
51 | const std::size_t nh_T = 0) | ||
52 | : DifferentialActionModel(state, nu, nr, ng, nh, ng_T, nh_T), | ||
53 |
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12 | bp::wrapper<DifferentialActionModel>() { |
54 |
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12 | unone_ = VectorXs::Constant(nu_, Scalar(NAN)); |
55 | } | ||
56 | |||
57 | 70 | void calc(const std::shared_ptr<DifferentialActionData>& data, | |
58 | const Eigen::Ref<const VectorXs>& x, | ||
59 | const Eigen::Ref<const VectorXs>& u) override { | ||
60 |
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70 | if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { |
61 | ✗ | throw_pretty( | |
62 | "Invalid argument: " << "x has wrong dimension (it should be " + | ||
63 | std::to_string(state_->get_nx()) + ")"); | ||
64 | } | ||
65 |
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70 | if (static_cast<std::size_t>(u.size()) != nu_) { |
66 | ✗ | throw_pretty( | |
67 | "Invalid argument: " << "u has wrong dimension (it should be " + | ||
68 | std::to_string(nu_) + ")"); | ||
69 | } | ||
70 | 70 | if (std::isnan( | |
71 |
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140 | scalar_cast<ScalarType>(u.template lpNorm<Eigen::Infinity>()))) { |
72 |
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6 | return bp::call<void>(this->get_override("calc").ptr(), data, |
73 | 12 | (VectorXs)x); | |
74 | } else { | ||
75 |
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64 | return bp::call<void>(this->get_override("calc").ptr(), data, (VectorXs)x, |
76 | 128 | (VectorXs)u); | |
77 | } | ||
78 | } | ||
79 | |||
80 | 4 | void calcDiff(const std::shared_ptr<DifferentialActionData>& data, | |
81 | const Eigen::Ref<const VectorXs>& x, | ||
82 | const Eigen::Ref<const VectorXs>& u) override { | ||
83 |
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4 | if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { |
84 | ✗ | throw_pretty( | |
85 | "Invalid argument: " << "x has wrong dimension (it should be " + | ||
86 | std::to_string(state_->get_nx()) + ")"); | ||
87 | } | ||
88 |
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4 | if (static_cast<std::size_t>(u.size()) != nu_) { |
89 | ✗ | throw_pretty( | |
90 | "Invalid argument: " << "u has wrong dimension (it should be " + | ||
91 | std::to_string(nu_) + ")"); | ||
92 | } | ||
93 | 4 | if (std::isnan( | |
94 |
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8 | scalar_cast<ScalarType>(u.template lpNorm<Eigen::Infinity>()))) { |
95 |
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2 | return bp::call<void>(this->get_override("calcDiff").ptr(), data, |
96 | 4 | (VectorXs)x); | |
97 | } else { | ||
98 |
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2 | return bp::call<void>(this->get_override("calcDiff").ptr(), data, |
99 |
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4 | (VectorXs)x, (VectorXs)u); |
100 | } | ||
101 | } | ||
102 | |||
103 | 270 | std::shared_ptr<DifferentialActionData> createData() override { | |
104 | 270 | enableMultithreading() = false; | |
105 |
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540 | if (boost::python::override createData = this->get_override("createData")) { |
106 | return bp::call<std::shared_ptr<DifferentialActionData>>( | ||
107 |
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270 | createData.ptr()); |
108 | } | ||
109 | ✗ | return DifferentialActionModel::createData(); | |
110 | } | ||
111 | |||
112 | ✗ | std::shared_ptr<DifferentialActionData> default_createData() { | |
113 | ✗ | return this->DifferentialActionModel::createData(); | |
114 | } | ||
115 | |||
116 | ✗ | void quasiStatic(const std::shared_ptr<DifferentialActionData>& data, | |
117 | Eigen::Ref<VectorXs> u, const Eigen::Ref<const VectorXs>& x, | ||
118 | const std::size_t maxiter, const Scalar tol) override { | ||
119 | ✗ | if (boost::python::override quasiStatic = | |
120 | this->get_override("quasiStatic")) { | ||
121 | ✗ | u = bp::call<VectorXs>(quasiStatic.ptr(), data, (VectorXs)x, maxiter, | |
122 | tol); | ||
123 | ✗ | if (static_cast<std::size_t>(u.size()) != nu_) { | |
124 | ✗ | throw_pretty( | |
125 | "Invalid argument: " << "u has wrong dimension (it should be " + | ||
126 | std::to_string(nu_) + ")"); | ||
127 | } | ||
128 | ✗ | return; | |
129 | } | ||
130 | ✗ | return DifferentialActionModel::quasiStatic(data, u, x, maxiter, tol); | |
131 | } | ||
132 | |||
133 | ✗ | void default_quasiStatic(const std::shared_ptr<DifferentialActionData>& data, | |
134 | Eigen::Ref<VectorXs> u, | ||
135 | const Eigen::Ref<const VectorXs>& x, | ||
136 | const std::size_t maxiter, const Scalar tol) { | ||
137 | ✗ | return this->DifferentialActionModel::quasiStatic(data, u, x, maxiter, tol); | |
138 | } | ||
139 | |||
140 | template <typename NewScalar> | ||
141 | ✗ | DifferentialActionModelAbstractTpl_wrap<NewScalar> cast() const { | |
142 | typedef DifferentialActionModelAbstractTpl_wrap<NewScalar> ReturnType; | ||
143 | ✗ | ReturnType ret(state_->template cast<NewScalar>(), nr_, nu_, ng_, nh_, | |
144 | ✗ | ng_T_, nh_T_); | |
145 | ✗ | return ret; | |
146 | } | ||
147 | }; | ||
148 | |||
149 | } // namespace python | ||
150 | } // namespace crocoddyl | ||
151 | |||
152 | #endif // BINDINGS_PYTHON_CROCODDYL_CORE_DIFF_ACTION_BASE_HPP_ | ||
153 |