minor refractoring

tests/test_meteorology.py

@@ -18,7 +18,6 @@
 
 from pyelq.coordinate_system import LLA
 from pyelq.meteorology import Meteorology, MeteorologyGroup
-from pytictoc import TicToc
 
 
 @pytest.mark.parametrize(
@@ -221,24 +220,15 @@ def test_calculate_wind_turbulence_horizontal():
         pd.date_range(dt.datetime(2023, 1, 1), dt.datetime(2023, 1, 2), freq="5s"), dtype="datetime64[ns]"
     )
     met.wind_direction = np.random.normal(180, sigma, met.time.shape[0])
-    time_met = TicToc()
-    time_met.tic()
     met.calculate_wind_turbulence_horizontal(window="300s")
-    time_met.toc()
-    time_elapsed_met = time_met.elapsed
 
-    time_circstd = TicToc()
     data_series = pd.Series(data=met.wind_direction, index=met.time)
-    time_circstd.tic()
     wind_turbulance_circstd = data_series.rolling(window="300s", center=True, min_periods=3).apply(
         circstd, kwargs={"low": 0, "high": 360})
-    time_circstd.toc()
-    time_elapsed_circstd = time_circstd.elapsed
 
 
     tolerance = 3 * np.std(met.wind_turbulence_horizontal)
     mean_turbulence = np.mean(met.wind_turbulence_horizontal)
     mean_turbilance_circstd = np.mean(wind_turbulance_circstd)
-    assert time_elapsed_met < 1/100 * time_elapsed_circstd
     assert (mean_turbulence - tolerance) < sigma < (mean_turbulence + tolerance)
     assert np.isclose(mean_turbulence, mean_turbilance_circstd)