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fix: use numpy 2d indexing, avoid np.matrix

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fixes #7141
This commit is contained in:
Andrea Ghensi
2025-09-19 15:00:36 +02:00
committed by Dion Moult
parent af1e542064
commit 1b5b9fdcf6
2 changed files with 15 additions and 20 deletions
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src/bonsai/bonsai/bim/module/bcf/operator.py
+1 -1
View File
@@ -1313,7 +1313,7 @@ class ActivateBcfViewpoint(bpy.types.Operator):
x_axis = y_axis.cross(z_axis).normalized()
rotation = Matrix((x_axis, y_axis, z_axis))
rotation.invert()
matrix = np.matrix(
matrix = np.array(
(
[x_axis[0], y_axis[0], z_axis[0], camera.camera_view_point.x],
[x_axis[1], y_axis[1], z_axis[1], camera.camera_view_point.y],
src/ifcopenshell-python/ifcopenshell/util/geolocation.py
+14 -19
View File
@@ -19,7 +19,6 @@
import math
import numpy as np
import ifcopenshell
import ifcopenshell.util.unit
import ifcopenshell.util.element
import ifcopenshell.util.placement
from typing import NamedTuple, Optional, Union
@@ -422,12 +421,12 @@ def local2global(
]
)
result = rotation_matrix @ scale_and_factor_matrix @ matrix
result[:, 0][0:3] /= np.linalg.norm(result[:, 0][0:3])
result[:, 1][0:3] /= np.linalg.norm(result[:, 1][0:3])
result[:, 2][0:3] /= np.linalg.norm(result[:, 2][0:3])
result[0][3] += eastings
result[1][3] += northings
result[2][3] += orthogonal_height
result[:3, 0] /= np.linalg.norm(result[:3, 0])
result[:3, 1] /= np.linalg.norm(result[:3, 1])
result[:3, 2] /= np.linalg.norm(result[:3, 2])
result[0, 3] += eastings
result[1, 3] += northings
result[2, 3] += orthogonal_height
return result
@@ -455,9 +454,7 @@ def auto_local2global(
result = local2global(matrix, *parameters)
if should_return_in_map_units:
return result
result[0][3] /= parameters.scale
result[1][3] /= parameters.scale
result[2][3] /= parameters.scale
result[:3, 3] /= parameters.scale
return result
@@ -512,13 +509,13 @@ def global2local(
]
)
result = matrix.copy()
result[0][3] -= eastings
result[1][3] -= northings
result[2][3] -= orthogonal_height
result[0, 3] -= eastings
result[1, 3] -= northings
result[2, 3] -= orthogonal_height
result = np.linalg.inv(scale_and_factor_matrix) @ np.linalg.inv(rotation_matrix) @ result
result[:, 0][0:3] /= np.linalg.norm(result[:, 0][0:3])
result[:, 1][0:3] /= np.linalg.norm(result[:, 1][0:3])
result[:, 2][0:3] /= np.linalg.norm(result[:, 2][0:3])
result[:3, 0] /= np.linalg.norm(result[:3, 0])
result[:3, 1] /= np.linalg.norm(result[:3, 1])
result[:3, 2] /= np.linalg.norm(result[:3, 2])
return result
@@ -543,9 +540,7 @@ def auto_global2local(
return matrix.copy()
if not is_specified_in_map_units:
matrix = matrix.copy()
matrix[0][3] *= parameters.scale
matrix[1][3] *= parameters.scale
matrix[2][3] *= parameters.scale
matrix[:3, 3] *= parameters.scale
result = global2local(matrix, *parameters)
wcs = get_wcs(ifc_file)
if wcs is not None: