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/////////////////////////////////////////////////////////////////////////////// |
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// BSD 3-Clause License |
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// |
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// Copyright (C) 2019-2024, LAAS-CNRS, University of Edinburgh, |
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// Heriot-Watt University |
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// Copyright note valid unless otherwise stated in individual files. |
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// All rights reserved. |
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/////////////////////////////////////////////////////////////////////////////// |
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#ifndef BINDINGS_PYTHON_CROCODDYL_CORE_ACTION_BASE_HPP_ |
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#define BINDINGS_PYTHON_CROCODDYL_CORE_ACTION_BASE_HPP_ |
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#include "crocoddyl/core/action-base.hpp" |
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#include "crocoddyl/core/utils/exception.hpp" |
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#include "python/crocoddyl/core/core.hpp" |
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namespace crocoddyl { |
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namespace python { |
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class ActionModelAbstract_wrap : public ActionModelAbstract, |
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public bp::wrapper<ActionModelAbstract> { |
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public: |
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EIGEN_MAKE_ALIGNED_OPERATOR_NEW |
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using ActionModelAbstract::ng_; |
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using ActionModelAbstract::nh_; |
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using ActionModelAbstract::nu_; |
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using ActionModelAbstract::unone_; |
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ActionModelAbstract_wrap(boost::shared_ptr<StateAbstract> state, |
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const std::size_t nu, const std::size_t nr = 1, |
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const std::size_t ng = 0, const std::size_t nh = 0) |
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: ActionModelAbstract(state, nu, nr, ng, nh), |
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✓✗ |
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bp::wrapper<ActionModelAbstract>() { |
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✓✗✓✗
✓✗ |
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unone_ = NAN * MathBase::VectorXs::Ones(nu); |
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} |
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void calc(const boost::shared_ptr<ActionDataAbstract>& data, |
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const Eigen::Ref<const Eigen::VectorXd>& x, |
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const Eigen::Ref<const Eigen::VectorXd>& u) { |
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✗✓ |
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if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { |
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throw_pretty("Invalid argument: " |
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<< "x has wrong dimension (it should be " + |
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std::to_string(state_->get_nx()) + ")"); |
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} |
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✗✓ |
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if (static_cast<std::size_t>(u.size()) != nu_) { |
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throw_pretty("Invalid argument: " |
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<< "u has wrong dimension (it should be " + |
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std::to_string(nu_) + ")"); |
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} |
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✓✓ |
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if (std::isnan(u.lpNorm<Eigen::Infinity>())) { |
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✓✗✓✗
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return bp::call<void>(this->get_override("calc").ptr(), data, |
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(Eigen::VectorXd)x); |
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} else { |
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✓✗✓✗
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return bp::call<void>(this->get_override("calc").ptr(), data, |
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✓✗ |
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(Eigen::VectorXd)x, (Eigen::VectorXd)u); |
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} |
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} |
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void calcDiff(const boost::shared_ptr<ActionDataAbstract>& data, |
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const Eigen::Ref<const Eigen::VectorXd>& x, |
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const Eigen::Ref<const Eigen::VectorXd>& u) { |
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✗✓ |
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if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { |
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throw_pretty("Invalid argument: " |
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<< "x has wrong dimension (it should be " + |
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std::to_string(state_->get_nx()) + ")"); |
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} |
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✗✓ |
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if (static_cast<std::size_t>(u.size()) != nu_) { |
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throw_pretty("Invalid argument: " |
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<< "u has wrong dimension (it should be " + |
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std::to_string(nu_) + ")"); |
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} |
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✓✓ |
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if (std::isnan(u.lpNorm<Eigen::Infinity>())) { |
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✓✗✓✗
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return bp::call<void>(this->get_override("calcDiff").ptr(), data, |
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(Eigen::VectorXd)x); |
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} else { |
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✓✗✓✗
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return bp::call<void>(this->get_override("calcDiff").ptr(), data, |
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✓✗ |
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(Eigen::VectorXd)x, (Eigen::VectorXd)u); |
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} |
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} |
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boost::shared_ptr<ActionDataAbstract> createData() { |
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enableMultithreading() = false; |
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✓✗✓✗
✓✗ |
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if (boost::python::override createData = this->get_override("createData")) { |
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✓✗ |
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return bp::call<boost::shared_ptr<ActionDataAbstract> >(createData.ptr()); |
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} |
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return ActionModelAbstract::createData(); |
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} |
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boost::shared_ptr<ActionDataAbstract> default_createData() { |
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return this->ActionModelAbstract::createData(); |
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} |
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void quasiStatic(const boost::shared_ptr<ActionDataAbstract>& data, |
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Eigen::Ref<Eigen::VectorXd> u, |
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const Eigen::Ref<const Eigen::VectorXd>& x, |
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const std::size_t maxiter, const double tol) { |
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if (boost::python::override quasiStatic = |
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this->get_override("quasiStatic")) { |
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u = bp::call<Eigen::VectorXd>(quasiStatic.ptr(), data, (Eigen::VectorXd)x, |
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maxiter, tol); |
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if (static_cast<std::size_t>(u.size()) != nu_) { |
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throw_pretty("Invalid argument: " |
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<< "u has wrong dimension (it should be " + |
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std::to_string(nu_) + ")"); |
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} |
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return; |
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} |
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return ActionModelAbstract::quasiStatic(data, u, x, maxiter, tol); |
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} |
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void default_quasiStatic(const boost::shared_ptr<ActionDataAbstract>& data, |
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Eigen::Ref<Eigen::VectorXd> u, |
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const Eigen::Ref<const Eigen::VectorXd>& x, |
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const std::size_t maxiter, const double tol) { |
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return this->ActionModelAbstract::quasiStatic(data, u, x, maxiter, tol); |
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} |
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}; |
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BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS(ActionModel_quasiStatic_wraps, |
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ActionModelAbstract::quasiStatic_x, 2, 4) |
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} // namespace python |
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} // namespace crocoddyl |
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#endif // BINDINGS_PYTHON_CROCODDYL_CORE_ACTION_BASE_HPP_ |