Bug#1061235: pandas: Unittest fail with PyTables 3.9.2
Antonio Valentino
antonio.valentino at tiscali.it
Sun Jan 21 08:53:50 GMT 2024
Source: pandas
Version: 1.5.3+dfsg-10
Severity: normal
Tags: ftbfs
X-Debbugs-Cc: antonio.valentino at tiscali.it
Dear Maintainer,
after the update of PyTables to v3.9.2 we observe a test failure in
Pandas 1.5.3
that prevents the migration of PyTables to testing.
It is just one single test failing. Please find below the relevant part
of the test loh:
1008s =================================== FAILURES
===================================
1008s ________________________________ test_complibs
_________________________________
1008s 1008s setup_path = 'tmp.__c4b81039-45a4-414b-a25e-574aafd8d539__.h5'
1008s 1008s def test_complibs(setup_path):
1008s # GH14478
1008s df = tm.makeDataFrame()
1008s 1008s # Building list of all complibs and complevels
tuples
1008s all_complibs = tables.filters.all_complibs
1008s # Remove lzo if its not available on this platform
1008s if not tables.which_lib_version("lzo"):
1008s all_complibs.remove("lzo")
1008s # Remove bzip2 if its not available on this platform
1008s if not tables.which_lib_version("bzip2"):
1008s all_complibs.remove("bzip2")
1008s 1008s all_levels = range(0, 10)
1008s all_tests = [(lib, lvl) for lib in all_complibs for lvl in
all_levels]
1008s 1008s for (lib, lvl) in all_tests:
1008s with ensure_clean_path(setup_path) as tmpfile:
1008s gname = "foo"
1008s 1008s # Write and read file to see if data is
consistent
1008s df.to_hdf(tmpfile, gname, complib=lib, complevel=lvl)
1008s result = read_hdf(tmpfile, gname)
1008s tm.assert_frame_equal(result, df)
1008s 1008s # Open file and check metadata
1008s # for correct amount of compression
1008s h5table = tables.open_file(tmpfile, mode="r")
1008s for node in h5table.walk_nodes(where="/" + gname,
classname="Leaf"):
1008s assert node.filters.complevel == lvl
1008s if lvl == 0:
1008s assert node.filters.complib is None
1008s else:
1008s > assert node.filters.complib == lib
1008s E AssertionError: assert 'blosc2:blosclz' ==
'blosc2'
1008s E - blosc2
1008s E + blosc2:blosclz
1008s 1008s
/usr/lib/python3/dist-packages/pandas/tests/io/pytables/test_file_handling.py:266:
AssertionError
1008s =============================== warnings summary
===============================
[CUT]
1008s -- Docs:
https://docs.pytest.org/en/stable/how-to/capture-warnings.html
1008s =========================== short test summary info
============================
1008s FAILED
../../../../usr/lib/python3/dist-packages/pandas/tests/io/pytables/test_file_handling.py::test_complibs
1008s = 1 failed, 10375 passed, 2570 skipped, 129 xfailed, 3 xpassed,
116 warnings in 206.35s (0:03:26) =
The probles seems more related to an issue in the test code rather then
a real bug in PyTables or Pandas.
Indeed the SW correctly report both the main compressor type, "blosc2"
and also the specific compression
filter by blosc2, "blosclz" in this case.
kind regards
antonio
-- System Information:
Debian Release: trixie/sid
APT prefers unstable
APT policy: (500, 'unstable'), (1, 'experimental')
Architecture: amd64 (x86_64)
Kernel: Linux 6.5.0-14-generic (SMP w/8 CPU threads; PREEMPT)
Locale: LANG=C, LC_CTYPE=C.UTF-8 (charmap=UTF-8), LANGUAGE not set
Shell: /bin/sh linked to /usr/bin/dash
Init: unable to detect
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