[MegaLinter] Apply linters automatic fixes

src/pyrecest/calibration/bias.py

@@ -167,7 +167,9 @@ def make_bias_training_examples(
         if features.shape[0] != measurements.shape[0]:
             raise ValueError("feature_values rows must match measurement_values rows")
 
-    finite_reference = np.isfinite(reference_times) & np.isfinite(references).all(axis=1)
+    finite_reference = np.isfinite(reference_times) & np.isfinite(references).all(
+        axis=1
+    )
     if not finite_reference.any():
         return BiasTrainingExamples(
             measured=np.empty((0, measurements.shape[1])),

src/pyrecest/calibration/time_offset.py

@@ -154,7 +154,9 @@ def interpolate_reference_values(
         raise ValueError("reference_times_s length must match reference_values rows")
     finite_reference = _finite_reference_rows(reference_times, reference_values)
     if np.count_nonzero(finite_reference) < 2:
-        raise ValueError("at least two finite reference rows are required for interpolation")
+        raise ValueError(
+            "at least two finite reference rows are required for interpolation"
+        )
     reference_times = reference_times[finite_reference]
     reference_values = reference_values[finite_reference]
     order = np.argsort(reference_times)

src/pyrecest/sampling/euclidean_sampler.py

@@ -531,4 +531,4 @@ def _fibonacci_grid(
         C_vals = np.maximum(C_vals, 0.0)
         xy_gauss = C_vecs @ np.diag(np.sqrt(C_vals)) @ xy_stdMM + mean.reshape(-1, 1)
 
-        return xy_equal, xy_stdMM, xy_gauss
+        return xy_equal, xy_stdMM, xy_gauss

tests/test_euclidean_sampler_integer_args.py

@@ -1,6 +1,5 @@
 import numpy as np
 import pytest
-
 from pyrecest.sampling.euclidean_sampler import (
     FibonacciGridSampler,
     FibonacciRejectionSampler,