ruff: linting

Author: hvasbath

beat/models/geodetic.py

@@ -136,7 +136,9 @@ def get_all_dataset_ids(self, hp_name):
         Return unique GNSS stations and radar acquisitions for a hyperparameter.
         """
         hp_dataset_typ = hp_name.split("_")[1]
-        return [dataset.id for dataset in self.datasets if dataset.typ == hp_dataset_typ]
+        return [
+            dataset.id for dataset in self.datasets if dataset.typ == hp_dataset_typ
+        ]
 
     def analyse_noise(self, tpoint=None):
         """

beat/models/seismic.py

@@ -620,8 +620,7 @@ def get_variance_reductions(
             var_reds[target] = float(1 - (nom / denom))
 
             logger.debug(
-                "Variance reduction for %s is %f"
-                % (nslcd_id_str, var_reds[target])
+                "Variance reduction for %s is %f" % (nslcd_id_str, var_reds[target])
             )
 
             if 0:
@@ -869,7 +868,7 @@ def get_synthetics(self, point, **kwargs):
         obs = []
         for i, wmap in enumerate(self.wavemaps):
             wc = wmap.config
-            #print(wc)
+            # print(wc)
             if not wmap.is_prepared or force:
                 wmap.prepare_data(
                     source=self.events[wc.event_idx],

beat/sampler/metropolis.py

@@ -261,7 +261,9 @@ def time_per_sample(self, n_points=10):
             tps = num.zeros((n_points))
             for i in range(n_points):
                 point = self.population[i]
-                point = {val_var.name: point[val_var.name] for val_var in self.value_vars}
+                point = {
+                    val_var.name: point[val_var.name] for val_var in self.value_vars
+                }
                 q = self.bij.map(point)
 
                 t0 = time()