reref linalg

Author: tomvanmele

src/compas/geometry/icp_numpy.py

@@ -7,11 +7,9 @@
 from scipy.linalg import norm
 
 from compas.tolerance import TOL
-
 from compas.geometry import pca_numpy
 from compas.geometry import transform_points_numpy
-
-from .linalg import normrow
+from compas.linalg import normrow
 
 
 def bestfit_transform(A, B):

src/compas/geometry/trimesh_curvature.py

@@ -22,8 +22,8 @@ def trimesh_gaussian_curvature(M):
     list[float]
         The discrete gaussian curvature per vertex.
 
-    Warning
-    -------
+    Warnings
+    --------
     The default implementation willnot check if the mesh is a triangle mesh.
     It will simpliy compute the curvature at every vertex as if it were surrounded by triangles.
     This requires the faces of the mesh to be at least convex polygons.

src/compas/geometry/trimesh_gradient_numpy.py

@@ -1,10 +1,9 @@
 import numpy as np
-
 from scipy.sparse import coo_matrix  # type: ignore
 
-from .linalg import normrow
-from .linalg import normalizerow
-from .linalg import rot90
+from compas.linalg import normrow
+from compas.linalg import normalizerow
+from compas.linalg import rot90
 
 
 def trimesh_gradient_numpy(M, rtype="array"):

src/compas/geometry/trimesh_matrices_numpy.py

@@ -2,15 +2,13 @@
 from numpy import zeros
 from numpy import cross
 from numpy import bincount
-
 from scipy.sparse import coo_matrix
 from scipy.sparse import spdiags
 
 from compas.geometry import dot_vectors
 from compas.geometry import length_vector
 from compas.geometry import cross_vectors
-
-from .linalg import normrow
+from compas.linalg import normrow
 
 
 def trimesh_edge_cotangent(mesh, edge):

src/compas/geometry/trimesh_pull_points_numpy.py

@@ -2,11 +2,10 @@
 from scipy.linalg import solve
 from scipy.spatial import distance_matrix
 
-from .linalg import normalizerow
-
 from compas.geometry import cross_vectors
 from compas.geometry import is_ccw_xy
 from compas.geometry import is_point_in_triangle
+from compas.linalg import normalizerow
 
 
 def trimesh_pull_points_numpy(M, points):

src/compas/geometry/trimesh_smoothing_numpy.py

@@ -1,6 +1,6 @@
 from numpy import array
 
-from .matrices import trimesh_cotangent_laplacian_matrix
+from ._algebra import trimesh_cotangent_laplacian_matrix
 
 
 def trimesh_smooth_laplacian_cotangent(trimesh, fixed, kmax=10):