From 4834339550f9aab3d961edff62fcb3a53bbe56bb Mon Sep 17 00:00:00 2001
From: Martin Bubel <martin.bubel@itwm.fraunhofer.de>
Date: Wed, 18 Oct 2023 20:21:16 +0200
Subject: [PATCH] remove todos

---
 GPy/testing/test_examples.py   | 1 -
 GPy/testing/test_inference.py  | 2 --
 GPy/testing/test_likelihood.py | 3 ---
 GPy/testing/test_pickle.py     | 3 +--
 4 files changed, 1 insertion(+), 8 deletions(-)

diff --git a/GPy/testing/test_examples.py b/GPy/testing/test_examples.py
index f8f12179..a02076d3 100644
--- a/GPy/testing/test_examples.py
+++ b/GPy/testing/test_examples.py
@@ -36,7 +36,6 @@ def flatten_nested(lst):
 
 
 def test_models():
-    # TODO: testing setup is not that clear to me yet...
     optimize = False
     plot = True
     examples_path = os.path.dirname(GPy.examples.__file__)
diff --git a/GPy/testing/test_inference.py b/GPy/testing/test_inference.py
index 34b02ce0..abcfb753 100644
--- a/GPy/testing/test_inference.py
+++ b/GPy/testing/test_inference.py
@@ -258,7 +258,6 @@ class TestHMCSampler:
 
         hmc = GPy.inference.mcmc.HMC(m, stepsize=1e-2)
         _s = hmc.sample(num_samples=3)
-        # TODO: seems like there is no test here?
 
 
 class TestMCMCSampler:
@@ -274,4 +273,3 @@ class TestMCMCSampler:
 
         mcmc = GPy.inference.mcmc.Metropolis_Hastings(m)
         mcmc.sample(Ntotal=100, Nburn=10)
-        # TODO: seems like there is no test here?
diff --git a/GPy/testing/test_likelihood.py b/GPy/testing/test_likelihood.py
index f35bd0f3..24ed96e3 100644
--- a/GPy/testing/test_likelihood.py
+++ b/GPy/testing/test_likelihood.py
@@ -495,8 +495,6 @@ class TestNoiseModels:
                 yield self.t_dexp_dmu, model, Y, Y_metadata
                 yield self.t_dexp_dvar, model, Y, Y_metadata
 
-        # TODO: how to now run all of the tests?
-
     #############
     # dpdf
     # _df's #
@@ -885,7 +883,6 @@ class LaplaceTests:
 
         self.var = np.random.rand(1)
         self.stu_t = GPy.likelihoods.StudentT(deg_free=5, sigma2=self.var)
-        # TODO: gaussians with on Identity link. self.gauss = GPy.likelihoods.Gaussian(gp_link=link_functions.Log(), variance=self.var)
         self.gauss = GPy.likelihoods.Gaussian(variance=self.var)
 
         # Make a bigger step as lower bound can be quite curved
diff --git a/GPy/testing/test_pickle.py b/GPy/testing/test_pickle.py
index fd1f8105..9fdeab95 100644
--- a/GPy/testing/test_pickle.py
+++ b/GPy/testing/test_pickle.py
@@ -34,8 +34,7 @@ class ListDictTestCase:
 
 
 class TestPickleSupport(ListDictTestCase):
-    # TODO: why is this test skipped?
-    @pytest.mark.skip(reason="")
+    @pytest.mark.skip(reason="")  # why is this test skipped?
     def test_load_pickle(self):
         import os