black formatting

mhkit/tests/wave/test_resource_metrics.py

@@ -122,7 +122,7 @@ def test_wave_length(self):
         for k in [k_int]:
             l_calculated = wave.resource.wave_length(k)
             self.assertTrue(np.all(2.0 * np.pi / k == l_calculated))
-            
+
         for k in [k_array, k_float, k_df, k_series]:
             l_calculated = wave.resource.wave_length(k)
             self.assertTrue(np.all(2.0 * np.pi / k == l_calculated))

mhkit/tests/wave/test_resource_spectrum.py

@@ -168,7 +168,7 @@ def test_user_spectrum_without_frequency_index_name_defined(self):
 
         expected_magnitude = [-0.983917, 1.274248, -2.129812]
 
-        assert_allclose(result.values[:,0], expected_magnitude, atol=1e-6)
+        assert_allclose(result.values[:, 0], expected_magnitude, atol=1e-6)
 
     def test_ifft_sum_of_sines(self):
         S = wave.resource.jonswap_spectrum(self.f, self.Tp, self.Hs)

mhkit/wave/resource.py

@@ -53,7 +53,7 @@ def elevation_spectrum(
     # TODO: Add confidence intervals, equal energy frequency spacing, and NDBC
     #       frequency spacing
     # TODO: may need to raise an error for the length of nnft- signal.welch breaks when nfft is too short
-    eta = convert_to_dataset(eta,"eta")
+    eta = convert_to_dataset(eta, "eta")
     if not isinstance(sample_rate, (float, int)):
         raise TypeError(
             f"sample_rate must be of type int or float. Got: {type(sample_rate)}"
@@ -287,11 +287,11 @@ def surface_elevation(
     Returns
     ---------
     eta: pandas DataFrame or xarray Dataset
-        Wave surface elevation [m] indexed by time [s]. Type depends on 
+        Wave surface elevation [m] indexed by time [s]. Type depends on
         number of variables in eta and value of the to_pandas flag.
 
     """
-    S = convert_to_dataset(S,"S")
+    S = convert_to_dataset(S, "S")
     time_index = to_numeric_array(time_index, "time_index")
     if not isinstance(seed, (type(None), int)):
         raise TypeError(f"If specified, seed must be of type int. Got: {type(seed)}")
@@ -373,7 +373,9 @@ def surface_elevation(
         if phases is None:
             np.random.seed(seed)
             phase = xr.DataArray(
-                data=2 * np.pi * np.random.random_sample(S_subset[frequency_dimension].shape),
+                data=2
+                * np.pi
+                * np.random.random_sample(S_subset[frequency_dimension].shape),
                 dims=frequency_dimension,
                 coords={frequency_dimension: f},
             )