flake examples

examples/other_examples/linear_regression_unknown_noise.py

@@ -31,7 +31,7 @@ sigma = 1
 # contents of the injection_parameters when calling the model function.
 sampling_frequency = 10
 time_duration = 10
-time = np.arange(0, time_duration, 1/sampling_frequency)
+time = np.arange(0, time_duration, 1 / sampling_frequency)
 N = len(time)
 data = model(time, **injection_parameters) + np.random.normal(0, sigma, N)
 

examples/other_examples/occam_factor_example.py

@@ -84,8 +84,8 @@ class Polynomial(bilby.Likelihood):
 
     def log_likelihood(self):
         res = self.y - self.polynomial(self.x, self.parameters)
-        return -0.5 * (np.sum((res / self.sigma)**2)
-                       + self.N*np.log(2*np.pi*self.sigma**2))
+        return -0.5 * (np.sum((res / self.sigma)**2) +
+                       self.N * np.log(2 * np.pi * self.sigma**2))
 
 
 def fit(n):

examples/other_examples/radioactive_decay.py

@@ -45,8 +45,8 @@ def decay_rate(delta_t, halflife, n_init):
 
     n_atoms = n_init * atto * n_avogadro
 
-    rates = (np.exp(-np.log(2) * (times[:-1] / halflife))
-             - np.exp(- np.log(2) * (times[1:] / halflife))) * n_atoms / delta_t
+    rates = (np.exp(-np.log(2) * (times[:-1] / halflife)) -
+             np.exp(- np.log(2) * (times[1:] / halflife))) * n_atoms / delta_t
 
     return rates
 

examples/supernova_example/supernova_example.py

@@ -45,7 +45,7 @@ waveform_generator = bilby.gw.waveform_generator.WaveformGenerator(
 ifos = bilby.gw.detector.InterferometerList(['H1', 'L1'])
 ifos.set_strain_data_from_power_spectral_densities(
     sampling_frequency=sampling_frequency, duration=duration,
-    start_time=injection_parameters['geocent_time']-3)
+    start_time=injection_parameters['geocent_time'] - 3)
 ifos.inject_signal(waveform_generator=waveform_generator,
                    parameters=injection_parameters)