Bug#971541: astroquery: autopkgtest failure on armhf
Source: astroquery
Version: 0.4.1+dfsg-1
Severity: serious
Tags: sid bullseye
X-Debbugs-CC: debian-ci@lists.debian.org
User: debian-ci@lists.debian.org
Usertags: regression
Hi Maintainer
Autopkgtests have recently started running on armhf, and there
astroquery fails [1].
I've copied what I hope is the relevant part of the log below.
I've marked this as a regression as 0.3.9+dfsg-1 passes in Debian
stable, and 0.4+dfsg-3 passes in Ubuntu.
Regards
Graham
[1] https://ci.debian.net/packages/a/astroquery/testing/armhf/
=================================== FAILURES ===================================
_________________________ test_all_tables[toi-query34] _________________________
self = <astropy.io.ascii.core.TableOutputter object at 0xf299f490>
cols = [<astropy.io.ascii.core.Column object at 0xf299f6e8>,
<astropy.io.ascii.core.Column object at 0xf299f8f8>,
<astropy.io...99fdf0>, <astropy.io.ascii.core.Column object at
0xf299f778>, <astropy.io.ascii.core.Column object at 0xf299fa90>, ...]
def _convert_vals(self, cols):
for col in cols:
# If a specific dtype was specified for a column, then use that
# to set the defaults, otherwise use the generic defaults.
default_converters = ([convert_numpy(col.dtype)] if col.dtype
else self.default_converters)
# If the user supplied a specific convert then that takes
precedence over defaults
converters = self.converters.get(col.name, default_converters)
col.converters = self._validate_and_copy(col, converters)
# Catch the last error in order to provide additional information
# in case all attempts at column conversion fail. The initial
# value of of last_error will apply if no converters are defined
# and the first col.converters[0] access raises IndexError.
last_err = 'no converters defined'
while not hasattr(col, 'data'):
try:
converter_func, converter_type = col.converters[0]
if not issubclass(converter_type, col.type):
raise TypeError('converter type does not match
column type')
> col.data = converter_func(col.str_vals)
/usr/lib/python3/dist-packages/astropy/io/ascii/core.py:960:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
vals = ['9048843364125']
def generic_converter(vals):
> return numpy.array(vals, numpy_type)
E OverflowError: Python int too large to convert to C long
/usr/lib/python3/dist-packages/astropy/io/ascii/core.py:904: OverflowError
During handling of the above exception, another exception occurred:
patch_get = <_pytest.monkeypatch.MonkeyPatch object at 0xf299fb08>
table = 'toi', query = {'where': 'toi=256.01'}
@pytest.mark.filterwarnings("error")
@pytest.mark.parametrize("table,query", ALL_TABLES)
def test_all_tables(patch_get, table, query):
> data = NasaExoplanetArchive.query_criteria(table, select="*", **query)
/usr/lib/python3/dist-packages/astroquery/nasa_exoplanet_archive/tests/test_nasa_exoplanet_archive.py:188:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/lib/python3/dist-packages/astroquery/utils/class_or_instance.py:25: in f
return self.fn(obj, *args, **kwds)
/usr/lib/python3/dist-packages/astroquery/utils/process_asyncs.py:29:
in newmethod
result = self._parse_result(response, verbose=verbose)
/usr/lib/python3/dist-packages/astroquery/nasa_exoplanet_archive/core.py:471:
in _parse_result
data = ascii.read(text, format="ipac", fast_reader=False,
converters=CONVERTERS)
/usr/lib/python3/dist-packages/astropy/io/ascii/ui.py:323: in read
dat = reader.read(table)
/usr/lib/python3/dist-packages/astropy/io/ascii/core.py:1209: in read
table = self.outputter(cols, self.meta)
/usr/lib/python3/dist-packages/astropy/io/ascii/core.py:990: in __call__
self._convert_vals(cols)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <astropy.io.ascii.core.TableOutputter object at 0xf299f490>
cols = [<astropy.io.ascii.core.Column object at 0xf299f6e8>,
<astropy.io.ascii.core.Column object at 0xf299f8f8>,
<astropy.io...99fdf0>, <astropy.io.ascii.core.Column object at
0xf299f778>, <astropy.io.ascii.core.Column object at 0xf299fa90>, ...]
def _convert_vals(self, cols):
for col in cols:
# If a specific dtype was specified for a column, then use that
# to set the defaults, otherwise use the generic defaults.
default_converters = ([convert_numpy(col.dtype)] if col.dtype
else self.default_converters)
# If the user supplied a specific convert then that takes
precedence over defaults
converters = self.converters.get(col.name, default_converters)
col.converters = self._validate_and_copy(col, converters)
# Catch the last error in order to provide additional information
# in case all attempts at column conversion fail. The initial
# value of of last_error will apply if no converters are defined
# and the first col.converters[0] access raises IndexError.
last_err = 'no converters defined'
while not hasattr(col, 'data'):
try:
converter_func, converter_type = col.converters[0]
if not issubclass(converter_type, col.type):
raise TypeError('converter type does not match
column type')
col.data = converter_func(col.str_vals)
col.type = converter_type
except (TypeError, ValueError) as err:
col.converters.pop(0)
last_err = err
except OverflowError as err:
# Overflow during conversion (most likely an int that
# doesn't fit in native C long). Put string at the top of
# the converters list for the next while iteration.
> warnings.warn(
"OverflowError converting to {} in column {},
reverting to String."
.format(converter_type.__name__, col.name),
AstropyWarning)
E astropy.utils.exceptions.AstropyWarning:
OverflowError converting to IntType in column htm20, reverting to
String.
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