Package: pandas / 1.5.3+dfsg-2

armel_ignore_nonwarning.patch Patch series | download
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Description: Don't require a warning armel numpy doesn't have

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Forwarded: no (this version requires dpkg)

--- a/pandas/tests/apply/test_str.py
+++ b/pandas/tests/apply/test_str.py
@@ -72,6 +72,12 @@ def test_apply_np_reducer(op, how):
 @pytest.mark.parametrize("how", ["transform", "apply"])
 def test_apply_np_transformer(float_frame, op, how):
     # GH 39116
+    # armel numpy currently doesn't have the invalid log/sqrt warning (see 1.4.3-1 build log,
+    # possibly the same underlying issue as statsmodels https://bugs.debian.org/956882)
+    # using nullcontext() instead of warn=None to not start failing if this ever gets fixed
+    import subprocess
+    import contextlib
+    debian_arch = subprocess.run(["dpkg","--print-architecture"],capture_output=True).stdout
 
     # float_frame will _usually_ have negative values, which will
     #  trigger the warning here, but let's put one in just to be sure
@@ -80,7 +86,7 @@ def test_apply_np_transformer(float_fram
     if op in ["log", "sqrt"]:
         warn = RuntimeWarning
 
-    with tm.assert_produces_warning(warn, check_stacklevel=False):
+    with (contextlib.nullcontext() if (debian_arch==b'armel\n') else tm.assert_produces_warning(warn, check_stacklevel=False)):
         # float_frame fixture is defined in conftest.py, so we don't check the
         # stacklevel as otherwise the test would fail.
         result = getattr(float_frame, how)(op)