use ndarray in ezdxf.math.lingalg.Matrix

mozman · Jan 4, 2024 · a4805bb · a4805bb
1 parent 87d6e49
commit a4805bb
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diff --git a/docs/source/math/linalg.rst b/docs/source/math/linalg.rst
@@ -29,8 +29,6 @@ Functions
 
 .. autofunction:: compact_banded_matrix
 
-.. autofunction:: freeze_matrix
-
 Matrix Class
 ------------
 
@@ -48,16 +46,10 @@ Matrix Class
 
     .. automethod:: row
 
-    .. automethod:: iter_row
-
     .. automethod:: col
 
-    .. automethod:: iter_col
-
     .. automethod:: diag
 
-    .. automethod:: iter_diag
-
     .. automethod:: rows
 
     .. automethod:: cols
@@ -72,10 +64,6 @@ Matrix Class
 
     .. automethod:: append_col
 
-    .. automethod:: swap_rows
-
-    .. automethod:: swap_cols
-
     .. automethod:: transpose
 
     .. automethod:: inverse

diff --git a/src/ezdxf/math/bspline.py b/src/ezdxf/math/bspline.py
@@ -770,11 +770,13 @@ def nbasis(t: float):
         [1.0] + [0.0] * (count - 1),  # Q0
         [-1.0, +1.0] + [0.0] * (count - 2),  # D0
     ]
+    ncols = len(A[0])
     for f in (nbasis(t) for t in t_vector[1:-1]):
-        A.extend(f)  # Qi, Di
+        A.extend([row[:ncols] for row in f])  # Qi, Di
     # swapped equations!
     A.append([0.0] * (count - 2) + [-1.0, +1.0])  # Dn
     A.append([0.0] * (count - 1) + [+1.0])  # Qn
+    assert len(set(len(row) for row in A)) == 1, "inhomogeneous matrix detected"
 
     # Build right handed matrix B
     B: list[Vec3] = []