diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index dd5fbb4e7f103401579b787c47c54c54bdd14714..b88a77cdbcf2dfc1106d3725cd8638c6aebb4d00 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -22,11 +22,11 @@ exitcode-jessie:
     - pip install coverage
     - pip install coverage-badge
     - coverage erase
-    - coverage run -a test/prior_tests.py
-    - coverage run -a test/tests.py
-    - coverage run -a test/waveform_generator_tests.py
-    - coverage run -a test/noise_realisation_tests.py
-    - coverage html --include=tupak/*
+    - coverage run --include=tupak/* -a test/prior_tests.py
+    - coverage run --include=tupak/* -a test/tests.py
+    - coverage run --include=tupak/* -a test/waveform_generator_tests.py
+    - coverage run --include=tupak/* -a test/noise_realisation_tests.py
+    - coverage html
     - coverage-badge -o coverage_badge.svg -f
   artifacts:
     paths:
diff --git a/README.md b/README.md
index 08f2f969933964909670540a79f82d24f6a831d5..3fd3060dbd9daab3d4282c8f41685a4eb22970b2 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 [![pipeline status](https://git.ligo.org/Monash/tupak/badges/master/pipeline.svg)](https://git.ligo.org/Monash/tupak/commits/master)
-[![coverage report](https://monash.docs.ligo.org/tupak/coverage_report.svg)](
+[![coverage report](https://monash.docs.ligo.org/tupak/coverage_badge.svg)](
 https://monash.docs.ligo.org/tupak/)
 
 # Tupak
diff --git a/test/tests.py b/test/tests.py
index 07f09b9bb5c57b4abfd372b0dc0e24334b8e9430..fabe4559b6d68cbdd980de3c611d21ce16c7da8f 100644
--- a/test/tests.py
+++ b/test/tests.py
@@ -57,8 +57,10 @@ class Test(unittest.TestCase):
         priors['luminosity_distance'] = tupak.prior.Uniform(
             name='luminosity_distance', minimum=dL - 10, maximum=dL + 10)
 
-        result = tupak.sampler.run_sampler(likelihood, priors, sampler='nestle')
-        self.assertAlmostEqual(np.mean(result.samples), dL, delta=np.std(result.samples))
+        result = tupak.sampler.run_sampler(
+            likelihood, priors, sampler='nestle', verbose=False, npoints=100)
+        self.assertAlmostEqual(np.mean(result.samples), dL,
+                               delta=np.std(result.samples))
 
 
 if __name__ == '__main__':