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authorAlyssa Ross <hi@alyssa.is>2023-12-15 19:32:38 +0100
committerAlyssa Ross <hi@alyssa.is>2023-12-15 19:32:38 +0100
commit6b8e2555ef013b579cda57025b17d662e0f1fe1f (patch)
tree5a83c673af26c9976acd5a5dfa20e09e06898047 /nixpkgs/pkgs/development/python-modules/pomegranate
parent66ca7a150b5c051f0728f13134e6265cc46f370c (diff)
parent02357adddd0889782362d999628de9d309d202dc (diff)
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Merge branch 'nixos-unstable-small' of https://github.com/NixOS/nixpkgs
Diffstat (limited to 'nixpkgs/pkgs/development/python-modules/pomegranate')
-rw-r--r--nixpkgs/pkgs/development/python-modules/pomegranate/disable-failed-on-nextworkx-2.6.patch26
1 files changed, 0 insertions, 26 deletions
diff --git a/nixpkgs/pkgs/development/python-modules/pomegranate/disable-failed-on-nextworkx-2.6.patch b/nixpkgs/pkgs/development/python-modules/pomegranate/disable-failed-on-nextworkx-2.6.patch
deleted file mode 100644
index 484ca4f9cbc8..000000000000
--- a/nixpkgs/pkgs/development/python-modules/pomegranate/disable-failed-on-nextworkx-2.6.patch
+++ /dev/null
@@ -1,26 +0,0 @@
-Test started failing after upgrading networkx 2.5.1 -> 2.6.2:
-    https://github.com/jmschrei/pomegranate/issues/939
-
-Failures look benigh.
---- a/tests/test_bayesian_network.py
-+++ b/tests/test_bayesian_network.py
-@@ -1057,7 +1057,8 @@ def test_exact_structure_learning_exclude_edges():
-         assert_not_equal(model.structure[-2], (d-1,))
-         assert_equal(model.structure[-2], (1,))
- 
--def test_exact_dp_structure_learning_exclude_edges():
-+# disabled for https://github.com/jmschrei/pomegranate/issues/939
-+def disabled_exact_dp_structure_learning_exclude_edges():
-     for X in datasets:
-         X = X.copy()
-         X[:,1] = X[:,-1]
-@@ -1139,7 +1140,8 @@ def test_constrained_parents_structure_learning_exclude_edges():
-     assert_equal(model.structure[7], (2,))
-     assert_equal(model.structure[4], (0,))
- 
--def test_constrained_slap_structure_learning_exclude_edges():
-+# disabled for https://github.com/jmschrei/pomegranate/issues/939
-+def disabled_constrained_slap_structure_learning_exclude_edges():
-     for X in datasets:
-         X = X.copy()
-         X[:,1] = X[:,-1]