Coverage for src/beamme/utils/nodes.py: 93%
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1# The MIT License (MIT)
2#
3# Copyright (c) 2018-2026 BeamMe Authors
4#
5# Permission is hereby granted, free of charge, to any person obtaining a copy
6# of this software and associated documentation files (the "Software"), to deal
7# in the Software without restriction, including without limitation the rights
8# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9# copies of the Software, and to permit persons to whom the Software is
10# furnished to do so, subject to the following conditions:
11#
12# The above copyright notice and this permission notice shall be included in
13# all copies or substantial portions of the Software.
14#
15# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
21# THE SOFTWARE.
22"""Helper functions to find, filter and interact with nodes."""
24import numpy as _np
25from numpy.typing import NDArray as _NDArray
27from beamme.core.conf import bme as _bme
28from beamme.core.geometry_set import GeometryName as _GeometryName
29from beamme.core.geometry_set import GeometrySet as _GeometrySet
30from beamme.core.geometry_set import GeometrySetBase as _GeometrySetBase
31from beamme.core.node import Node as _Node
32from beamme.core.node import NodeCosserat as _NodeCosserat
33from beamme.geometric_search.find_close_points import (
34 find_close_points as _find_close_points,
35)
36from beamme.geometric_search.find_close_points import (
37 point_partners_to_partner_indices as _point_partners_to_partner_indices,
38)
41def find_close_nodes(nodes: list[_Node], **kwargs) -> list[list[_Node]]:
42 """Find nodes in a point cloud that are within a certain tolerance of each
43 other.
45 Args:
46 nodes: Nodes who are part of the point cloud.
47 **kwargs: Arguments passed on to geometric_search.find_close_points
49 Returns:
50 A list of lists of nodes that are close to each other, i.e.,
51 each element in the returned list contains nodes that are close
52 to each other.
53 """
55 coords = _np.zeros([len(nodes), 3])
56 for i, node in enumerate(nodes):
57 coords[i, :] = node.coordinates
58 partner_indices = _point_partners_to_partner_indices(
59 *_find_close_points(coords, **kwargs)
60 )
61 return [[nodes[i] for i in partners] for partners in partner_indices]
64def adjust_close_nodes(nodes: list[_Node], *, tol=_bme.eps_pos) -> None:
65 """Adjust the coordinates of nodes that are within the given tolerance by
66 setting all involved coordinates of the nodes to their common mean.
68 Args:
69 nodes: List of nodes whose coordinates need adjustment.
70 tol: Distance tolerance used to detect partner nodes.
71 """
73 partner_nodes = find_close_nodes(nodes, tol=tol)
74 for close_nodes in partner_nodes:
75 average_coords = _np.mean([node.coordinates for node in close_nodes], axis=0)
76 for node in close_nodes:
77 node.coordinates = average_coords.copy()
80def check_node_by_coordinate(node, axis, value, eps=_bme.eps_pos):
81 """Check if the node is at a certain coordinate value.
83 Args
84 ----
85 node: Node
86 The node to be checked for its position.
87 axis: int
88 Coordinate axis to check.
89 0 -> x, 1 -> y, 2 -> z
90 value: float
91 Value for the coordinate that the node should have.
92 eps: float
93 Tolerance to check for equality.
94 """
95 return _np.abs(node.coordinates[axis] - value) < eps
98def get_min_max_coordinates(nodes):
99 """Return an array with the minimal and maximal coordinates of the given
100 nodes.
102 Return
103 ----
104 min_max_coordinates:
105 [min_x, min_y, min_z, max_x, max_y, max_z]
106 """
107 coordinates = _np.zeros([len(nodes), 3])
108 for i, node in enumerate(nodes):
109 coordinates[i, :] = node.coordinates
110 min_max = _np.zeros(6)
111 min_max[:3] = _np.min(coordinates, axis=0)
112 min_max[3:] = _np.max(coordinates, axis=0)
113 return min_max
116def get_single_node(item: _Node | _GeometrySetBase) -> _NodeCosserat:
117 """Function to get a single node from the input item.
119 Args:
120 item: This can be a GeometrySet with exactly one node or a single node object.
122 Returns:
123 If a single node, or a Geometry set (point set) containing a single node
124 is given, that node is returned, otherwise an error is raised.
125 """
126 if isinstance(item, _Node):
127 node = item
128 elif isinstance(item, _GeometrySetBase):
129 # Check if there is only one node in the set
130 nodes = item.get_points()
131 if len(nodes) == 1:
132 node = nodes[0]
133 else:
134 raise ValueError("GeometrySet does not have exactly one node!")
135 else:
136 raise TypeError(
137 f'The given object can be node or GeometrySet got "{type(item)}"!'
138 )
140 if not isinstance(node, _NodeCosserat):
141 raise TypeError("Expected a NodeCosserat object.")
143 return node
146def filter_nodes(nodes, *, middle_nodes=True) -> list[_Node]:
147 """Filter the list of the given nodes. Be aware that if no filters are
148 enabled the original list will be returned.
150 Args
151 ----
152 nodes: list(Nodes)
153 If this list is given it will be returned as is.
154 middle_nodes: bool
155 If middle nodes should be returned or not.
156 """
158 if not middle_nodes:
159 return [node for node in nodes if middle_nodes or not node.is_middle_node]
160 else:
161 return nodes
164def get_nodal_coordinates(nodes: list[_Node]) -> _NDArray:
165 """Return an array with the coordinates of the given nodes.
167 Args:
168 nodes: Nodes for which the coordinates should be returned.
170 Returns:
171 Numpy array with all the positions of the nodes.
172 """
173 coordinates = _np.zeros([len(nodes), 3])
174 for i, node in enumerate(nodes):
175 coordinates[i, :] = node.coordinates
176 return coordinates
179def get_nodal_quaternions(nodes: list[_Node]) -> _NDArray:
180 """Return an array with the quaternions of the given nodes.
182 Args:
183 nodes: List of nodes where we want the quaternion array.
184 Returns:
185 A numpy array containing the quaternions (the length is the number of
186 nodes and the dtype is a numpy quaternion). For nodes which don't
187 contain a rotation, we set the dummy quaternion (2, 0, 0, 0).
188 """
189 quaternions = _np.zeros([len(nodes), 4])
190 for i, node in enumerate(nodes):
191 if isinstance(node, _NodeCosserat):
192 quaternions[i, :] = node.rotation.get_quaternion()
193 else:
194 # For the case of nodes that belong to solid elements,
195 # we define the following default value:
196 quaternions[i, :] = [2.0, 0.0, 0.0, 0.0]
197 return quaternions
200def get_nodes_by_function(nodes, function, *args, middle_nodes=False, **kwargs):
201 """Return all nodes for which the function evaluates to true.
203 Args
204 ----
205 nodes: [Node]
206 Nodes that should be filtered.
207 function: function(node, *args, **kwargs)
208 Nodes for which this function is true are returned.
209 middle_nodes: bool
210 If this is true, middle nodes of a beam are also returned.
211 """
212 node_list = filter_nodes(nodes, middle_nodes=middle_nodes)
213 return [node for node in node_list if function(node, *args, **kwargs)]
216def get_min_max_nodes(nodes, *, middle_nodes=False):
217 """Return a geometry set with the max and min nodes in all directions.
219 Args
220 ----
221 nodes: list(Nodes)
222 If this one is given return an array with the coordinates of the
223 nodes in list, otherwise of all nodes in the mesh.
224 middle_nodes: bool
225 If this is true, middle nodes of a beam are also returned.
226 """
228 node_list = filter_nodes(nodes, middle_nodes=middle_nodes)
229 geometry = _GeometryName()
231 pos = get_nodal_coordinates(node_list)
232 for i, direction in enumerate(["x", "y", "z"]):
233 # Check if there is more than one value in dimension.
234 min_max = [_np.min(pos[:, i]), _np.max(pos[:, i])]
235 if _np.abs(min_max[1] - min_max[0]) >= _bme.eps_pos:
236 for j, text in enumerate(["min", "max"]):
237 # get all nodes with the min / max coordinate
238 min_max_nodes = []
239 for index, value in enumerate(
240 _np.abs(pos[:, i] - min_max[j]) < _bme.eps_pos
241 ):
242 if value:
243 min_max_nodes.append(node_list[index])
244 geometry[f"{direction}_{text}"] = _GeometrySet(min_max_nodes)
245 return geometry
248def is_node_on_plane(
249 node, *, normal=None, origin_distance=None, point_on_plane=None, tol=_bme.eps_pos
250):
251 """Query if a node lies on a plane defined by a point_on_plane or the
252 origin distance.
254 Args
255 ----
256 node:
257 Check if this node coincides with the defined plane.
258 normal: _np.array, list
259 Normal vector of defined plane.
260 origin_distance: float
261 Distance between origin and defined plane. Mutually exclusive with
262 point_on_plane.
263 point_on_plane: _np.array, list
264 Point on defined plane. Mutually exclusive with origin_distance.
265 tol: float
266 Tolerance of evaluation if point coincides with plane
268 Return
269 ----
270 True if the point lies on the plane, False otherwise.
271 """
273 if origin_distance is None and point_on_plane is None:
274 raise ValueError("Either provide origin_distance or point_on_plane!")
275 elif origin_distance is not None and point_on_plane is not None:
276 raise ValueError("Only provide origin_distance OR point_on_plane!")
278 if origin_distance is not None:
279 projection = _np.dot(node.coordinates, normal) / _np.linalg.norm(normal)
280 distance = _np.abs(projection - origin_distance)
281 elif point_on_plane is not None:
282 distance = _np.abs(
283 _np.dot(point_on_plane - node.coordinates, normal) / _np.linalg.norm(normal)
284 )
286 return distance < tol