PyLint fix

probabilistic-numerics · Feb 10, 2022 · fb7b15f · fb7b15f
1 parent bb4559a
commit fb7b15f
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Showing 3 changed files with 9 additions and 9 deletions.
diff --git a/src/probnum/randprocs/markov/integrator/_ioup.py b/src/probnum/randprocs/markov/integrator/_ioup.py
@@ -135,18 +135,18 @@ def __init__(
         )
 
     @cached_property
-    def _drift_matrix(self):
+    def _drift_matrix(self):  # pylint: disable=method-hidden
         drift_matrix_1d = np.diag(np.ones(self.num_derivatives), 1)
         drift_matrix_1d[-1, -1] = -self.driftspeed
         return np.kron(np.eye(self.wiener_process_dimension), drift_matrix_1d)
 
     @cached_property
-    def _force_vector(self):
+    def _force_vector(self):  # pylint: disable=method-hidden
         force_1d = np.zeros(self.num_derivatives + 1)
         return np.kron(np.ones(self.wiener_process_dimension), force_1d)
 
     @cached_property
-    def _dispersion_matrix(self):
+    def _dispersion_matrix(self):  # pylint: disable=method-hidden
         dispersion_matrix_1d = np.zeros(self.num_derivatives + 1)
         dispersion_matrix_1d[-1] = 1.0  # Unit Diffusion
         return np.kron(np.eye(self.wiener_process_dimension), dispersion_matrix_1d).T

diff --git a/src/probnum/randprocs/markov/integrator/_iwp.py b/src/probnum/randprocs/markov/integrator/_iwp.py
@@ -130,7 +130,7 @@ def __init__(
         )
 
     @cached_property
-    def _drift_matrix(self):
+    def _drift_matrix(self):  # pylint: disable=method-hidden
         drift_matrix_1d = np.diag(np.ones(self.num_derivatives), 1)
         if config.matrix_free:
             return linops.IdentityKronecker(
@@ -140,11 +140,11 @@ def _drift_matrix(self):
         return np.kron(np.eye(self.wiener_process_dimension), drift_matrix_1d)
 
     @cached_property
-    def _force_vector(self):
+    def _force_vector(self):  # pylint: disable=method-hidden
         return np.zeros((self.wiener_process_dimension * (self.num_derivatives + 1)))
 
     @cached_property
-    def _dispersion_matrix(self):
+    def _dispersion_matrix(self):  # pylint: disable=method-hidden
         dispersion_matrix_1d = np.zeros(self.num_derivatives + 1)
         dispersion_matrix_1d[-1] = 1.0  # Unit diffusion
 

diff --git a/src/probnum/randprocs/markov/integrator/_matern.py b/src/probnum/randprocs/markov/integrator/_matern.py
@@ -135,7 +135,7 @@ def __init__(
         )
 
     @cached_property
-    def _drift_matrix(self):
+    def _drift_matrix(self):  # pylint: disable=method-hidden
         drift_matrix = np.diag(np.ones(self.num_derivatives), 1)
         nu = self.num_derivatives + 0.5
         D, lam = self.num_derivatives + 1, np.sqrt(2 * nu) / self.lengthscale
@@ -145,12 +145,12 @@ def _drift_matrix(self):
         return np.kron(np.eye(self.wiener_process_dimension), drift_matrix)
 
     @cached_property
-    def _force_vector(self):
+    def _force_vector(self):  # pylint: disable=method-hidden
         force_1d = np.zeros(self.num_derivatives + 1)
         return np.kron(np.ones(self.wiener_process_dimension), force_1d)
 
     @cached_property
-    def _dispersion_matrix(self):
+    def _dispersion_matrix(self):  # pylint: disable=method-hidden
         dispersion_matrix_1d = np.zeros(self.num_derivatives + 1)
         dispersion_matrix_1d[-1] = 1.0  # Unit diffusion
         return np.kron(np.eye(self.wiener_process_dimension), dispersion_matrix_1d).T