HealPixMapPriorDist Redundancy Fix

AUTHORS.md

@@ -29,6 +29,7 @@ Gregory Ashton
 Hank Hua
 Hector Estelles
 Ignacio Magaña Hernandez
+Isaac McMahon
 Isobel Marguarethe Romero-Shaw
 Jack Heinzel
 Jacob Golomb

bilby/gw/prior.py

@@ -1362,6 +1362,7 @@ class HealPixMapPriorDist(BaseJointPriorDist):
         else:
             self.distance = False
             self.prob = self.hp.read_map(hp_file)
+        self.prob = self._check_norm(self.prob)
 
         super(HealPixMapPriorDist, self).__init__(names=names, bounds=bounds)
         self.distname = "hpmap"
@@ -1501,9 +1502,7 @@ class HealPixMapPriorDist(BaseJointPriorDist):
         sample : array_like
             sample of ra, and dec (and distance if 3D=True)
         """
-        pixel_choices = np.arange(self.npix)
-        pixel_probs = self._check_norm(self.prob)
-        sample_pix = random.rng.choice(pixel_choices, size=size, p=pixel_probs, replace=True)
+        sample_pix = random.rng.choice(self.npix, size=size, p=self.prob, replace=True)
         sample = np.empty((size, self.num_vars))
         for samp in range(size):
             theta, ra = self.hp.pix2ang(self.nside, sample_pix[samp])

test/check_author_list.py

@@ -3,7 +3,7 @@
 import re
 import subprocess
 
-special_cases = ["plasky", "thomas", "mj-will", "richard", "douglas"]
+special_cases = ["plasky", "thomas", "mj-will", "richard", "douglas", "nixnyxnyx"]
 AUTHORS_list = []
 with open("AUTHORS.md", "r") as f:
     AUTHORS_list = " ".join([line for line in f]).lower()