Fixed CDF and PDF for SymmertricLogUniform

This came up when I wrote tests for the Slab-and-spike priors I'm working on.

Old:

New:

bilby/core/prior/analytical.py

@@ -361,9 +361,9 @@ class SymmetricLogUniform(Prior):
         cdf = np.zeros((len(val)))
         lower_indices = np.where(np.logical_and(-self.maximum <= val, val <= -self.minimum))[0]
         upper_indices = np.where(np.logical_and(self.minimum <= val, val <= self.maximum))[0]
-        cdf[lower_indices] = -norm * np.log(-val[lower_indices]/self.maximum)
+        cdf[lower_indices] = -norm * np.log(-val[lower_indices] / self.maximum)
         cdf[np.where(np.logical_and(-self.minimum < val, val < self.minimum))] = 0.5
-        cdf[upper_indices] = 0.5 + norm * np.log(val[upper_indices]/self.minimum)
+        cdf[upper_indices] = 0.5 + norm * np.log(val[upper_indices] / self.minimum)
         cdf[np.where(self.maximum < val)] = 1
         return cdf