include python 3.14

Author: gduscher

.github/workflows/actions.yml

@@ -21,7 +21,7 @@ jobs:
       max-parallel: 5
       matrix:
 
-        python-version: ['3.10', '3.11', '3.12', '3.13']
+        python-version: ['3.10', '3.11', '3.12', '3.13', '3.14']
 
     steps:
     - uses: actions/checkout@v3

pyTEMlib/eels_tools/low_loss_tools.py

@@ -426,7 +426,7 @@ def kroeger_core(e_data, a_data, eps_data, acceleration_voltage_kev, thickness,
        return P, P*scale*1e2,p_vol*1e2, p_simple*1e2
     
 
-    $d^2P/(dEd\\Omega) = \\frac{1}{\\pi^2 a_0 m_0 v^2} \\Im \left[ \\frac{t\\mu^2}{\\varepsilon \\phi^2 } \right]
+    $d^2P/(dEd\\Omega) = \\frac{1}{\\pi^2 a_0 m_0 v^2} \\Im \\left[ \\frac{t\\mu^2}{\\varepsilon \\phi^2 } \\right]
     
     # Internally everything is calculated in SI units
     # acceleration_voltage_kev = 200 #keV

tests/test_utilities.py

@@ -35,14 +35,14 @@ def test_lorentz_peak_normalization():
 def test_gauss_zero_width_returns_zeros():
     x = np.linspace(-5, 5, 11)
     p = [0.0, 1.0, 0.0]  # p[2] == 0 should yield zeros
-    y = utilities.gauss(x, p)
+    y = utilities.gauss(x, np.array(p))
     assert np.allclose(y, 0.0)
 
 
 def test_gauss_peak_at_center():
     x = np.linspace(-5, 5, 101)
     p = [0.0, 3.0, 1.2]  # mean=0, amplitude=3
-    y = utilities.gauss(x, p)
+    y = utilities.gauss(x,np.array(p))
     # maximum value should be close to amplitude
     assert pytest.approx(3.0, rel=1e-5) == float(np.max(y))
     # center value equals maximum