Directory: | ./ |
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File: | bindings/python/algorithm/expose-regressor.cpp |
Date: | 2025-02-12 21:03:38 |
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Lines: | 23 | 26 | 88.5% |
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1 | // | ||
2 | // Copyright (c) 2018-2020 CNRS INRIA | ||
3 | // | ||
4 | |||
5 | #include "pinocchio/bindings/python/algorithm/algorithms.hpp" | ||
6 | #include "pinocchio/algorithm/regressor.hpp" | ||
7 | |||
8 | namespace pinocchio | ||
9 | { | ||
10 | namespace python | ||
11 | { | ||
12 | |||
13 | 1 | context::MatrixXs bodyRegressor_proxy(const context::Motion & v, const context::Motion & a) | |
14 | { | ||
15 |
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2 | return bodyRegressor(v, a); |
16 | } | ||
17 | |||
18 | 1 | context::MatrixXs jointBodyRegressor_proxy( | |
19 | const context::Model & model, context::Data & data, const JointIndex jointId) | ||
20 | { | ||
21 | 1 | return jointBodyRegressor(model, data, jointId); | |
22 | } | ||
23 | |||
24 | 1 | context::MatrixXs frameBodyRegressor_proxy( | |
25 | const context::Model & model, context::Data & data, const FrameIndex frameId) | ||
26 | { | ||
27 | 1 | return frameBodyRegressor(model, data, frameId); | |
28 | } | ||
29 | |||
30 | 69 | void exposeRegressor() | |
31 | { | ||
32 | typedef context::Scalar Scalar; | ||
33 | typedef context::VectorXs VectorXs; | ||
34 | enum | ||
35 | { | ||
36 | Options = context::Options | ||
37 | }; | ||
38 | |||
39 |
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69 | bp::def( |
40 | "computeStaticRegressor", | ||
41 | &computeStaticRegressor<Scalar, Options, JointCollectionDefaultTpl, VectorXs>, | ||
42 |
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138 | bp::args("model", "data", "q"), |
43 | "Compute the static regressor that links the inertia parameters of the system to its " | ||
44 | "center of mass position,\n" | ||
45 | "store the result in context::Data and return it.\n\n" | ||
46 | "Parameters:\n" | ||
47 | "\tmodel: model of the kinematic tree\n" | ||
48 | "\tdata: data related to the model\n" | ||
49 | "\tq: the joint configuration vector (size model.nq)\n", | ||
50 | ✗ | bp::return_value_policy<bp::return_by_value>()); | |
51 | |||
52 |
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69 | bp::def( |
53 | 138 | "bodyRegressor", &bodyRegressor_proxy, bp::args("velocity", "acceleration"), | |
54 | "Computes the regressor for the dynamic parameters of a single rigid body.\n" | ||
55 | "The result is such that " | ||
56 | "Ia + v x Iv = bodyRegressor(v,a) * I.toDynamicParameters()\n\n" | ||
57 | "Parameters:\n" | ||
58 | "\tvelocity: spatial velocity of the rigid body\n" | ||
59 | "\tacceleration: spatial acceleration of the rigid body\n"); | ||
60 | |||
61 |
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69 | bp::def( |
62 | 138 | "jointBodyRegressor", &jointBodyRegressor_proxy, bp::args("model", "data", "joint_id"), | |
63 | "Compute the regressor for the dynamic parameters of a rigid body attached to a " | ||
64 | "given joint.\n" | ||
65 | "This algorithm assumes RNEA has been run to compute the acceleration and " | ||
66 | "gravitational effects.\n\n" | ||
67 | "Parameters:\n" | ||
68 | "\tmodel: model of the kinematic tree\n" | ||
69 | "\tdata: data related to the model\n" | ||
70 | "\tjoint_id: index of the joint\n"); | ||
71 | |||
72 |
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69 | bp::def( |
73 | 138 | "frameBodyRegressor", &frameBodyRegressor_proxy, bp::args("model", "data", "frame_id"), | |
74 | "Computes the regressor for the dynamic parameters of a rigid body attached to a " | ||
75 | "given frame.\n" | ||
76 | "This algorithm assumes RNEA has been run to compute the acceleration and " | ||
77 | "gravitational effects.\n\n" | ||
78 | "Parameters:\n" | ||
79 | "\tmodel: model of the kinematic tree\n" | ||
80 | "\tdata: data related to the model\n" | ||
81 | "\tframe_id: index of the frame\n"); | ||
82 | |||
83 |
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69 | bp::def( |
84 | "computeJointTorqueRegressor", | ||
85 | &computeJointTorqueRegressor< | ||
86 | Scalar, Options, JointCollectionDefaultTpl, VectorXs, VectorXs, VectorXs>, | ||
87 |
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138 | bp::args("model", "data", "q", "v", "a"), |
88 | "Compute the joint torque regressor that links the joint torque " | ||
89 | "to the dynamic parameters of each link according to the current the robot motion,\n" | ||
90 | "store the result in context::Data and return it.\n\n" | ||
91 | "Parameters:\n" | ||
92 | "\tmodel: model of the kinematic tree\n" | ||
93 | "\tdata: data related to the model\n" | ||
94 | "\tq: the joint configuration vector (size model.nq)\n" | ||
95 | "\tv: the joint velocity vector (size model.nv)\n" | ||
96 | "\ta: the joint acceleration vector (size model.nv)\n", | ||
97 | ✗ | bp::return_value_policy<bp::return_by_value>()); | |
98 | |||
99 |
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69 | bp::def( |
100 | "computeKineticEnergyRegressor", | ||
101 | &computeKineticEnergyRegressor< | ||
102 | Scalar, Options, JointCollectionDefaultTpl, VectorXs, VectorXs>, | ||
103 |
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138 | bp::args("model", "data", "q", "v"), |
104 | "Compute the kinetic energy regressor that links the kinetic energy" | ||
105 | "to the dynamic parameters of each link according to the current the robot motion,\n" | ||
106 | "store the result in context::Data and return it.\n\n" | ||
107 | "Parameters:\n" | ||
108 | "\tmodel: model of the kinematic tree\n" | ||
109 | "\tdata: data related to the model\n" | ||
110 | "\tq: the joint configuration vector (size model.nq)\n" | ||
111 | "\tv: the joint velocity vector (size model.nv)\n", | ||
112 | ✗ | bp::return_value_policy<bp::return_by_value>()); | |
113 | |||
114 |
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69 | bp::def( |
115 | "computePotentialEnergyRegressor", | ||
116 | &computePotentialEnergyRegressor<Scalar, Options, JointCollectionDefaultTpl, VectorXs>, | ||
117 |
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138 | bp::args("model", "data", "q"), |
118 | "Compute the potential energy regressor that links the potential energy" | ||
119 | "to the dynamic parameters of each link according to the current the robot motion,\n" | ||
120 | "store the result in context::Data and return it.\n\n" | ||
121 | "Parameters:\n" | ||
122 | "\tmodel: model of the kinematic tree\n" | ||
123 | "\tdata: data related to the model\n" | ||
124 | "\tq: the joint configuration vector (size model.nq)\n", | ||
125 | 69 | bp::return_value_policy<bp::return_by_value>()); | |
126 | 69 | } | |
127 | |||
128 | } // namespace python | ||
129 | } // namespace pinocchio | ||
130 |