Do not execute test if numba is not installed

stingray/tests/test_crossspectrum.py

@@ -13,6 +13,7 @@
 from stingray.crossspectrum import normalize_crossspectrum, normalize_crossspectrum_gauss
 from stingray.crossspectrum import coherence, time_lag
 from stingray import StingrayError
+from stingray.utils import HAS_NUMBA
 from stingray.simulator import Simulator
 from stingray.fourier import poisson_level
 from stingray.filters import filter_for_deadtime
@@ -1250,6 +1251,7 @@ def test_classical_significances(self):
         maxpower = np.max(cs.power)
         assert np.all(np.isfinite(cs.classical_significances(threshold=maxpower / 2.0)))
 
+    @pytest.mark.skipif("not HAS_NUMBA")
     def test_deadtime_corr(self):
         tmax = 100.0
         segment_size = 1

stingray/tests/test_powerspectrum.py

@@ -9,6 +9,7 @@
 from astropy.io import fits
 from stingray import Lightcurve
 from stingray.events import EventList
+from stingray.utils import HAS_NUMBA
 from stingray import Powerspectrum, AveragedPowerspectrum, DynamicalPowerspectrum
 from stingray.powerspectrum import powerspectrum_from_time_array
 from astropy.modeling.models import Lorentz1D
@@ -342,6 +343,7 @@ def test_leahy_correct_for_multiple(self, use_common_mean):
         assert np.isclose(np.mean(ps.power), 2.0, atol=1e-2, rtol=1e-2)
         assert np.isclose(np.std(ps.power), 2.0 / np.sqrt(ps.m), atol=0.1, rtol=0.1)
 
+    @pytest.mark.skipif("not HAS_NUMBA")
     def test_deadtime_corr(self):
         tmax = 100.0
         segment_size = 1
@@ -501,9 +503,7 @@ def test_leahy_norm_total_variance(self):
         square of the number of data points in the light curve
         """
         ps = Powerspectrum(self.lc, norm="Leahy")
-        ps_var = (np.sum(self.lc.counts) / ps.n**2.0) * (
-            np.sum(ps.power[:-1]) + ps.power[-1] / 2.0
-        )
+        ps_var = (np.sum(self.lc.counts) / ps.n**2.0) * (np.sum(ps.power[:-1]) + ps.power[-1] / 2.0)
 
         assert np.isclose(ps_var, np.var(self.lc.counts), atol=0.01)