DOC Ensures that strip_accents_unicode passes numpydoc (scikit-learn#24232)

CloseChoice · thomasjpfan · web-flow · commit c925b7e24c4b · 2022-08-24T15:47:54.000-04:00
Co-authored-by: Thomas J. Fan &lt;thomasjpfan@gmail.com&gt;
diff --git a/sklearn/feature_extraction/text.py b/sklearn/feature_extraction/text.py
@@ -122,16 +122,21 @@ def _analyze(
 
 
 def strip_accents_unicode(s):
-    """Transform accentuated unicode symbols into their simple counterpart
+    """Transform accentuated unicode symbols into their simple counterpart.
 
     Warning: the python-level loop and join operations make this
     implementation 20 times slower than the strip_accents_ascii basic
     normalization.
 
     Parameters
     ----------
-    s : string
-        The string to strip
+    s : str
+        The string to strip.
+
+    Returns
+    -------
+    s : str
+        The stripped string.
 
     See Also
     --------
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -16,7 +16,6 @@
     "sklearn.decomposition._dict_learning.dict_learning_online",
     "sklearn.decomposition._nmf.non_negative_factorization",
     "sklearn.externals._packaging.version.parse",
-    "sklearn.feature_extraction.text.strip_accents_unicode",
     "sklearn.inspection._plot.partial_dependence.plot_partial_dependence",
     "sklearn.linear_model._least_angle.lars_path_gram",
     "sklearn.linear_model._omp.orthogonal_mp_gram",
