✅ Passing test for Instance new attributes

DIGNEA · Jul 18, 2024 · 41852e9 · 41852e9
1 parent c66eb9c
commit 41852e9
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Showing 2 changed files with 4 additions and 2 deletions.
diff --git a/tests/core/test_instance.py b/tests/core/test_instance.py
@@ -44,7 +44,7 @@ def test_default_instance_attrs(default_instance):
     default_instance.p = 5.0
     assert (
         default_instance.__repr__()
-        == "Instance<f=100.0,p=5.0,s=10.0,vars=0,descriptor=3,performance=3>"
+        == "Instance<f=100.0,p=5.0,s=10.0,vars=0,features=0,descriptor=3,performance=3>"
     )
     assert (
         format(default_instance, "p")
@@ -130,7 +130,7 @@ def test_boolean(initialised_instance, default_instance):
 
 def test_str():
     instance = Instance(fitness=100, p=10.0, s=3.0)
-    expected = "Instance(f=100.0,p=10.0,s=3.0,descriptor=(),performance=())"
+    expected = "Instance(f=100.0,p=10.0,s=3.0,features=0,descriptor=(),performance=())"
     assert str(instance) == expected
 
 

diff --git a/tests/qd/test_novelty_search.py b/tests/qd/test_novelty_search.py
@@ -85,6 +85,8 @@ def random_population():
 def test_run_nsf(nsf, random_population):
     assert nsf._describe_by == "features"
     assert all(len(instance.descriptor) != 0 for instance in random_population)
+    for instance in random_population:
+        instance.features = np.random.randn(8)
     sparseness = nsf.sparseness(random_population)
     assert len(sparseness) == len(random_population)