LANG: 2025.10 updates & pin templating

Author: lizgehret

q2_boots/tests/test_beta.py

@@ -9,6 +9,7 @@
 from unittest import TestCase, main
 
 import pandas as pd
+import numpy.testing as npt
 import qiime2
 
 import skbio
@@ -213,7 +214,10 @@ def test_beta_collection_phylogenetic(self):
         self.assertEqual(len(observed), 10)
         for o in observed.values():
             o = o.view(skbio.DistanceMatrix)
-            self.assertEqual(o, expected)
+            self.assertEqual(o.ids, expected.ids)
+            # Floating point error seemingly induced by going from
+            # unifrac_binaries=1.4 to unifrac_binaries=1.5 made this necessary
+            npt.assert_allclose(o.data, expected.data)
 
 
 class BetaTests(TestPluginBase):

q2_boots/tests/test_core_metrics.py

@@ -10,6 +10,7 @@
 from qiime2.plugin.testing import TestPluginBase
 from qiime2.plugin import Visualization
 import pandas as pd
+import numpy.testing as npt
 import pandas.testing as pdt
 import skbio
 
@@ -197,8 +198,12 @@ def test_core_metrics_phylogenetic(self):
             [[0, 0.25], [0.25, 0]], ids=['S1', 'S2'])
         observed_unweighted_unifrac = \
             output[2]['unweighted_unifrac'].view(skbio.DistanceMatrix)
-        self.assertEqual(observed_unweighted_unifrac,
-                         expected_unweighted_unifrac)
+        # Floating point error seemingly induced by going from
+        # unifrac_binaries=1.4 to unifrac_binaries=1.5 made this necessary
+        self.assertEqual(observed_unweighted_unifrac.ids,
+                         expected_unweighted_unifrac.ids)
+        npt.assert_allclose(observed_unweighted_unifrac.data,
+                            expected_unweighted_unifrac.data)
 
         # vizard scatter plot returned
         self.assertEqual(output[5].type, Visualization)