Replace .mat file with .npz file in an example

.pre-commit-config.yaml

@@ -8,7 +8,7 @@ repos:
       name: pip-audit
       description: "Audits Python environments and dependency trees for known vulnerabilities"
       entry: pip-audit
-      args: [--ignore-vuln, GHSA-4xh5-x5gv-qwph]  # pip version 25.2 is the latest available, but has this vulnerability
+      args: [--ignore-vuln, GHSA-4xh5-x5gv-qwph, --ignore-vuln, CVE-2026-21441]  
       pass_filenames: false
       language: python
 
@@ -66,7 +66,7 @@ repos:
 
   # Pyright
   - repo: https://github.com/RobertCraigie/pyright-python
-    rev: v1.1.407
+    rev: v1.1.408
     hooks:
       - id: pyright
         additional_dependencies: [numpy, scipy, matplotlib, tqdm, sphinx-gallery]

examples/drive/flux_vector/plot_6kw_pmsyrm_sat_fvc.py

@@ -22,7 +22,6 @@
 from pathlib import Path
 
 import numpy as np
-from scipy.io import loadmat
 
 import motulator.drive.control.sm as control
 from motulator.drive import model, utils
@@ -37,15 +36,15 @@
 # Plot the saturation model (surfaces) and the measured flux map data (points). This
 # data is used to parametrize the machine model.
 
-# Load the measured data from the MATLAB file
+# Load the measured data
 p = Path(__file__).resolve().parent if "__file__" in globals() else Path.cwd()
-meas_data = loadmat(p / "ABB_400rpm_map.mat")
+meas_data = np.load(p / "ABB_400rpm_map.npz")
+i_s_dq_map = meas_data["i_s_dq"]
+psi_s_dq_map = meas_data["psi_s_dq"]
 
 # Create the flux map from the measured data
 meas_flux_map = utils.MagneticModel(
-    i_s_dq=meas_data["id_map"] + 1j * meas_data["iq_map"],
-    psi_s_dq=meas_data["psid_map"] + 1j * meas_data["psiq_map"],
-    type="flux_map",
+    i_s_dq=i_s_dq_map, psi_s_dq=psi_s_dq_map, type="flux_map"
 )
 
 # Plot the measured data