ignore mypy issues

Author: mozman

src/ezdxf/math/linalg.py

@@ -311,17 +311,17 @@ def __mul__(self, other: Matrix | float) -> Matrix:
         if isinstance(other, Matrix):
             return Matrix(matrix=np.matmul(self.matrix, other.matrix))
         else:
-            matrix = Matrix(matrix=self.matrix * float(other))
+            matrix = Matrix(matrix=self.matrix * float(other))  # type: ignore
         return matrix
 
     __imul__ = __mul__
 
     def __add__(self, other: Matrix | float) -> Matrix:
         """Matrix addition by another matrix or a float, returns a new matrix."""
         if isinstance(other, Matrix):
-            return Matrix(matrix=self.matrix + other.matrix)
+            return Matrix(matrix=self.matrix + other.matrix)  # type: ignore
         else:
-            return Matrix(matrix=self.matrix + float(other))
+            return Matrix(matrix=self.matrix + float(other))  # type: ignore
 
     __iadd__ = __add__
 
@@ -331,9 +331,9 @@ def __sub__(self, other: Matrix | float) -> Matrix:
 
         """
         if isinstance(other, Matrix):
-            return Matrix(matrix=self.matrix - other.matrix)
+            return Matrix(matrix=self.matrix - other.matrix)  # type: ignore
         else:
-            return Matrix(matrix=self.matrix - float(other))
+            return Matrix(matrix=self.matrix - float(other))  # type: ignore
 
     __isub__ = __sub__
 
@@ -346,7 +346,7 @@ def inverse(self) -> Matrix:
         if self.nrows != self.ncols:
             raise TypeError("Inverse of non-square matrix not supported.")
         try:
-            return Matrix(matrix=np.linalg.inv(self.matrix))
+            return Matrix(matrix=np.linalg.inv(self.matrix))  # type: ignore
         except np.linalg.LinAlgError:
             raise ZeroDivisionError
 
@@ -445,7 +445,7 @@ def numpy_matrix_solver(A: MatrixData | NDArray, B: MatrixData | NDArray) -> Mat
     """
     mat_A = np.array(A, dtype=np.float64)
     mat_B = np.array(B, dtype=np.float64)
-    return Matrix(matrix=np.linalg.solve(mat_A, mat_B))
+    return Matrix(matrix=np.linalg.solve(mat_A, mat_B))  # type: ignore
 
 
 def numpy_vector_solver(A: MatrixData | NDArray, B: Iterable[float]) -> list[float]:
@@ -486,7 +486,7 @@ def solve_matrix(self, B: MatrixData | NDArray) -> Matrix:
 
         """
         mat_B = np.array(B, dtype=np.float64)
-        return Matrix(matrix=np.linalg.solve(self.mat_A, mat_B))
+        return Matrix(matrix=np.linalg.solve(self.mat_A, mat_B))  # type: ignore
 
     def solve_vector(self, B: Iterable[float]) -> list[float]:
         """Solves the linear equation system given by the nxn Matrix

src/ezdxf/npshapes.py

@@ -113,7 +113,7 @@ def to_list(self) -> list[list[float]]:
         """Returns the shape vertices as list of lists 
         e.g. [[1, 2], [3, 4], ...]
         """
-        return self._vertices.tolist()
+        return self._vertices.tolist()  # type: ignore
 
     def bbox(self) -> BoundingBox2d:
         """Returns the bounding box of all vertices."""

src/ezdxf/render/trace.py

@@ -338,7 +338,7 @@ def from_spline(
             spline.derivatives(t, n=1), np.linspace(start_width, end_width, count)
         ):
             normal = Vec2(derivative).orthogonal(True)
-            curve_trace._append(Vec2(point), normal, width)
+            curve_trace._append(Vec2(point), normal, width)  # type: ignore
         return curve_trace
 
     @classmethod
@@ -373,7 +373,7 @@ def from_arc(
             arc.vertices(arc.angles(count)),
             np.linspace(start_width, end_width, count),
         ):
-            curve_trace._append(point, point - center, width)
+            curve_trace._append(point, point - center, width)  # type: ignore
         return curve_trace
 
     def _append(self, point: Vec2, normal: Vec2, width: float) -> None: