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While packaging pandas 0.17 for Nix, I noticed this test to fail. I've tested with both Python 2.7 and 3.4.
test_invalid_index_types (pandas.tseries.tests.test_frequencies.TestFrequencyInference) ... ERROR
======================================================================
ERROR: test_invalid_index_types (pandas.tseries.tests.test_frequencies.TestFrequencyInference)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/tests/test_frequencies.py", line 565, in test_invalid_index_types
self.assertRaises(ValueError, lambda : frequencies.infer_freq(i))
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/util/testing.py", line 1879, in assertRaises
_callable(*args, **kwargs)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/tests/test_frequencies.py", line 565, in <lambda>
self.assertRaises(ValueError, lambda : frequencies.infer_freq(i))
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/frequencies.py", line 855, in infer_freq
index = pd.DatetimeIndex(index)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/util/decorators.py", line 89, in wrapper
return func(*args, **kwargs)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/index.py", line 315, in __new__
subarr = tools.to_datetime(data, box=False)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/util/decorators.py", line 89, in wrapper
return func(*args, **kwargs)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/tools.py", line 276, in to_datetime
unit=unit, infer_datetime_format=infer_datetime_format)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/tools.py", line 395, in _to_datetime
return _convert_listlike(arg, box, format)
File "/tmp/nix-build-python2.7-pandas-0.17.0.drv-0/pandas-0.17.0/pandas/tseries/tools.py", line 372, in _convert_listlike
require_iso8601=require_iso8601)
File "pandas/tslib.pyx", line 1828, in pandas.tslib.array_to_datetime (pandas/tslib.c:36848)
cpdef array_to_datetime(ndarray[object] values, errors='raise',
File "pandas/tslib.pyx", line 2017, in pandas.tslib.array_to_datetime (pandas/tslib.c:36443)
raise
File "pandas/tslib.pyx", line 2011, in pandas.tslib.array_to_datetime (pandas/tslib.c:36333)
oresult[i] = parse_datetime_string(val, dayfirst=dayfirst,
File "pandas/tslib.pyx", line 1602, in pandas.tslib.parse_datetime_string (pandas/tslib.c:29166)
dt = parse_date(date_string, default=_DEFAULT_DATETIME,
File "/nix/store/cc5vqjhmxwnm5f0jwixyi0g643y3iv4f-python2.7-dateutil-2.2/lib/python2.7/site-packages/dateutil/parser.py", line 748, in parse
return DEFAULTPARSER.parse(timestr, **kwargs)
File "/nix/store/cc5vqjhmxwnm5f0jwixyi0g643y3iv4f-python2.7-dateutil-2.2/lib/python2.7/site-packages/dateutil/parser.py", line 310, in parse
res, skipped_tokens = self._parse(timestr, **kwargs)
TypeError: 'NoneType' object is not iterable
Since Travis does not seem to be failing I could imagine this is a Nix issue. If so, do you have any suggestion regarding dependencies of software this specific piece of code that is tested needs?
The text was updated successfully, but these errors were encountered:
it fails on windows (so is skipped), but cannot repro on travis/macosx. Its supposed to fail parsing and a raise a ValueError instead in raises a TypeError; note that this is actually hits dateutil. If you'd like to dig in and see where it is failing then we can modify the test.
While packaging pandas 0.17 for Nix, I noticed this test to fail. I've tested with both Python 2.7 and 3.4.
Since Travis does not seem to be failing I could imagine this is a Nix issue. If so, do you have any suggestion regarding dependencies of software this specific piece of code that is tested needs?
The text was updated successfully, but these errors were encountered: