[med-svn] [Git][med-team/q2-sample-classifier][upstream] New upstream version 2022.8.0

[Mohd Bilal (@rmb)]

Mohd  Bilal pushed to branch upstream at Debian Med / q2-sample-classifier


Commits:
7d791d49 by Mohammed Bilal at 2022-09-07T11:30:51+00:00
New upstream version 2022.8.0
- - - - -


3 changed files:

- ci/recipe/meta.yaml
- q2_sample_classifier/_version.py
- q2_sample_classifier/tests/test_utilities.py


Changes:

=====================================
ci/recipe/meta.yaml
=====================================
@@ -19,11 +19,11 @@ requirements:
   run:
     - python {{ python }}
     - pandas {{ pandas }}
-    - scipy
+    - scipy {{ scipy }}
     - numpy
     - joblib
     - scikit-learn {{ scikit_learn }}
-    - scikit-bio
+    - scikit-bio {{ scikit_bio }}
     - seaborn >=0.8
     - fastcluster
     - qiime2 {{ qiime2_epoch }}.*


=====================================
q2_sample_classifier/_version.py
=====================================
@@ -23,9 +23,9 @@ def get_keywords():
     # setup.py/versioneer.py will grep for the variable names, so they must
     # each be defined on a line of their own. _version.py will just call
     # get_keywords().
-    git_refnames = " (tag: 2022.2.0)"
-    git_full = "5056003cb20259dfc4dd046c9043f0d89740bc95"
-    git_date = "2022-02-18 18:51:19 +0000"
+    git_refnames = " (tag: 2022.8.0)"
+    git_full = "b8258d820faf77bd27634664047b4c16dbd70ceb"
+    git_date = "2022-08-23 16:27:09 +0000"
     keywords = {"refnames": git_refnames, "full": git_full, "date": git_date}
     return keywords
 


=====================================
q2_sample_classifier/tests/test_utilities.py
=====================================
@@ -88,7 +88,7 @@ class UtilitiesTests(SampleClassifierTestPluginBase):
             _disable_feature_selection('KNeighborsClassifier', False)
 
     def test_mean_feature_importance_1d_arrays(self):
-        exp = pd.DataFrame([10, 9, 8, 7], columns=["importance0"],
+        exp = pd.DataFrame([10., 9., 8., 7.], columns=["importance0"],
                            index=[3, 2, 1, 0])
         imps = [pd.DataFrame([1, 2, 3, 4], columns=["importance0"]),
                 pd.DataFrame([5, 6, 7, 8], columns=["importance0"]),
@@ -97,7 +97,7 @@ class UtilitiesTests(SampleClassifierTestPluginBase):
         pdt.assert_frame_equal(_mean_feature_importance(imps), exp)
 
     def test_mean_feature_importance_different_column_names(self):
-        exp = pd.DataFrame([[6, 5, 4, 3], [14, 13, 12, 11]],
+        exp = pd.DataFrame([[6., 5., 4., 3.], [14., 13., 12., 11.]],
                            index=["importance0", "importance1"],
                            columns=[3, 2, 1, 0]).T
         imps = [pd.DataFrame([1, 2, 3, 4], columns=["importance0"]),



View it on GitLab: https://salsa.debian.org/med-team/q2-sample-classifier/-/commit/7d791d49afedf27c07ea9a71be59de95b5c51072

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View it on GitLab: https://salsa.debian.org/med-team/q2-sample-classifier/-/commit/7d791d49afedf27c07ea9a71be59de95b5c51072
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