[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

hera_filters/dspec.py

@@ -2992,7 +2992,7 @@ def sparse_linear_fit_2D(
         axis_1_pcond = np.linalg.pinv(
             XTX_axis_1 + np.eye(XTX_axis_1.shape[0]) * axis_1_lambda
         )
-        
+
         # Compute the preconditioner for the second axis
         XTX_axis_2 = np.dot(axis_2_basis.T.conj() * axis_2_wgts, axis_2_basis)
         eigenval, _ = np.linalg.eig(XTX_axis_2)

hera_filters/tests/test_dspec.py

@@ -1557,7 +1557,7 @@ def test_precondition_sparse_solver():
     axis_1_weights = (~time_flags[:, 0]).astype(float) * rng.integers(1, 10, size=(ntimes,))
     axis_2_weights = (~freq_flags[0]).astype(float)
     wgts = np.outer(axis_1_weights, axis_2_weights)
-    
+
     # Add frequency dependence to the weights to make the problem more ill-conditioned
     wgts *= (freqs / 150e6) ** -3.5
 
@@ -1589,4 +1589,4 @@ def test_precondition_sparse_solver():
     # Check that the fit closely matches to the separable fit
     np.testing.assert_allclose(sol, sol_sparse, atol=1e-8, rtol=1e-6)
     np.testing.assert_allclose(sol, sol_sparse_precond, atol=1e-8, rtol=1e-6)
-    np.testing.assert_array_less(meta_precond['iter_num'], meta['iter_num'])
+    np.testing.assert_array_less(meta_precond['iter_num'], meta['iter_num'])