Source: python-xarray
Version: 0.9.6-1
Severity: serious
https://ci.debian.net/packages/p/python-xarray/unstable/amd64/
https://tests.reproducible-builds.org/debian/rb-pkg/unstable/amd64/python-xarray.html
...
dh_auto_test -O--buildsystem=pybuild
I: pybuild base:184: cd
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build; python3.6 -m
pytest
============================= test session starts ==============================
platform linux -- Python 3.6.4+, pytest-3.3.2, py-1.5.2, pluggy-0.6.0
rootdir: /build/1st/python-xarray-0.9.6, inifile: setup.cfg
collected 2460 items / 1 skipped
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xarray/tests/test_conventions.py .....................................ss [ 30%]
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xarray/tests/test_indexing.py .F.............. [ 84%]
xarray/tests/test_merge.py ................. [ 85%]
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xarray/tests/test_variable.py .......................................... [ 96%]
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=================================== FAILURES ===================================
_________________________ TestDataArray.test_resample __________________________
self = <xarray.tests.test_dataarray.TestDataArray testMethod=test_resample>
def test_resample(self):
times = pd.date_range('2000-01-01', freq='6H', periods=10)
array = DataArray(np.arange(10), [('time', times)])
actual = array.resample('6H', dim='time')
self.assertDataArrayIdentical(array, actual)
actual = array.resample('24H', dim='time')
> expected = DataArray(array.to_series().resample('24H', how='mean'))
xarray/tests/test_dataarray.py:1805:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/lib/python3/dist-packages/pandas/core/generic.py:5522: in resample
base=base, key=on, level=level)
/usr/lib/python3/dist-packages/pandas/core/resample.py:999: in resample
return tg._get_resampler(obj, kind=kind)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = TimeGrouper(freq=<24 * Hours>, axis=0, sort=True, closed='left',
label='left', how='mean', convention='start', base=0)
obj = time
2000-01-01 00:00:00 0
2000-01-01 06:00:00 1
2000-01-01 12:00:00 2
2000-01-01 18:00:00 ...0 5
2000-01-02 12:00:00 6
2000-01-02 18:00:00 7
2000-01-03 00:00:00 8
2000-01-03 06:00:00 9
dtype: int64
kind = None
def _get_resampler(self, obj, kind=None):
"""
return my resampler or raise if we have an invalid axis
Parameters
----------
obj : input object
kind : string, optional
'period','timestamp','timedelta' are valid
Returns
-------
a Resampler
Raises
------
TypeError if incompatible axis
"""
self._set_grouper(obj)
ax = self.ax
if isinstance(ax, DatetimeIndex):
return DatetimeIndexResampler(obj,
groupby=self,
kind=kind,
axis=self.axis)
elif isinstance(ax, PeriodIndex) or kind == 'period':
return PeriodIndexResampler(obj,
groupby=self,
kind=kind,
axis=self.axis)
elif isinstance(ax, TimedeltaIndex):
return TimedeltaIndexResampler(obj,
groupby=self,
axis=self.axis)
raise TypeError("Only valid with DatetimeIndex, "
"TimedeltaIndex or PeriodIndex, "
> "but got an instance of %r" % type(ax).__name__)
E TypeError: Only valid with DatetimeIndex, TimedeltaIndex or
PeriodIndex, but got an instance of 'MultiIndex'
/usr/lib/python3/dist-packages/pandas/core/resample.py:1116: TypeError
______________________ TestDataArray.test_resample_first _______________________
self = <xarray.tests.test_dataarray.TestDataArray
testMethod=test_resample_first>
def test_resample_first(self):
times = pd.date_range('2000-01-01', freq='6H', periods=10)
array = DataArray(np.arange(10), [('time', times)])
actual = array.resample('1D', dim='time', how='first')
expected = DataArray([0, 4, 8], [('time', times[::4])])
self.assertDataArrayIdentical(expected, actual)
# verify that labels don't use the first value
actual = array.resample('24H', dim='time', how='first')
> expected = DataArray(array.to_series().resample('24H', how='first'))
xarray/tests/test_dataarray.py:1824:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/lib/python3/dist-packages/pandas/core/generic.py:5522: in resample
base=base, key=on, level=level)
/usr/lib/python3/dist-packages/pandas/core/resample.py:999: in resample
return tg._get_resampler(obj, kind=kind)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = TimeGrouper(freq=<24 * Hours>, axis=0, sort=True, closed='left',
label='left', how='mean', convention='start', base=0)
obj = time
2000-01-01 00:00:00 0
2000-01-01 06:00:00 1
2000-01-01 12:00:00 2
2000-01-01 18:00:00 ...0 5
2000-01-02 12:00:00 6
2000-01-02 18:00:00 7
2000-01-03 00:00:00 8
2000-01-03 06:00:00 9
dtype: int64
kind = None
def _get_resampler(self, obj, kind=None):
"""
return my resampler or raise if we have an invalid axis
Parameters
----------
obj : input object
kind : string, optional
'period','timestamp','timedelta' are valid
Returns
-------
a Resampler
Raises
------
TypeError if incompatible axis
"""
self._set_grouper(obj)
ax = self.ax
if isinstance(ax, DatetimeIndex):
return DatetimeIndexResampler(obj,
groupby=self,
kind=kind,
axis=self.axis)
elif isinstance(ax, PeriodIndex) or kind == 'period':
return PeriodIndexResampler(obj,
groupby=self,
kind=kind,
axis=self.axis)
elif isinstance(ax, TimedeltaIndex):
return TimedeltaIndexResampler(obj,
groupby=self,
axis=self.axis)
raise TypeError("Only valid with DatetimeIndex, "
"TimedeltaIndex or PeriodIndex, "
> "but got an instance of %r" % type(ax).__name__)
E TypeError: Only valid with DatetimeIndex, TimedeltaIndex or
PeriodIndex, but got an instance of 'MultiIndex'
/usr/lib/python3/dist-packages/pandas/core/resample.py:1116: TypeError
_____________ TestDataArray.test_to_pandas_name_matches_coordinate _____________
self = <xarray.tests.test_dataarray.TestDataArray
testMethod=test_to_pandas_name_matches_coordinate>
def test_to_pandas_name_matches_coordinate(self):
# coordinate with same name as array
arr = DataArray([1, 2, 3], dims='x', name='x')
series = arr.to_series()
self.assertArrayEqual([1, 2, 3], series.values)
> self.assertArrayEqual([0, 1, 2], series.index.values)
xarray/tests/test_dataarray.py:2135:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <xarray.tests.test_dataarray.TestDataArray
testMethod=test_to_pandas_name_matches_coordinate>
a1 = [0, 1, 2], a2 = array([(0,), (1,), (2,)], dtype=object)
def assertArrayEqual(self, a1, a2):
> assert_array_equal(a1, a2)
E AssertionError:
E Arrays are not equal
E
E (mismatch 100.0%)
E x: array([0, 1, 2])
E y: array([(0,), (1,), (2,)], dtype=object)
xarray/tests/__init__.py:155: AssertionError
____________________ TestDataset.test_dataset_dataset_math _____________________
self = <xarray.Variable (x: 3)>
array([100, 200, 300]), args = (), kwargs = {}
def func(self, *args, **kwargs):
try:
> return getattr(self, name)(*args, **kwargs)
E AttributeError: 'Variable' object has no attribute 'notna'
xarray/core/ops.py:193: AttributeError
During handling of the above exception, another exception occurred:
self = <xarray.tests.test_dataset.TestDataset
testMethod=test_dataset_dataset_math>
def test_dataset_dataset_math(self):
ds = self.make_example_math_dataset()
self.assertDatasetIdentical(ds, ds + 0 * ds)
self.assertDatasetIdentical(ds, ds + {'foo': 0, 'bar': 0})
expected = ds.apply(lambda x: 2 * x)
self.assertDatasetIdentical(expected, 2 * ds)
self.assertDatasetIdentical(expected, ds + ds)
self.assertDatasetIdentical(expected, ds + ds.data_vars)
self.assertDatasetIdentical(expected, ds + dict(ds.data_vars))
actual = ds.copy(deep=True)
expected_id = id(actual)
actual += ds
self.assertDatasetIdentical(expected, actual)
self.assertEqual(expected_id, id(actual))
> self.assertDatasetIdentical(ds == ds, ds.notnull())
xarray/tests/test_dataset.py:3031:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
xarray/core/dataset.py:2485: in func
ds._variables[k] = f(self._variables[k], *args, **kwargs)
xarray/core/ops.py:195: in func
return f(self, *args, **kwargs)
/usr/lib/python3/dist-packages/pandas/core/dtypes/missing.py:212: in notna
res = isna(obj)
/usr/lib/python3/dist-packages/pandas/core/dtypes/missing.py:45: in isna
return _isna(obj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj = <xarray.Variable (x: 3)>
array([100, 200, 300])
def _isna_new(obj):
if is_scalar(obj):
return lib.checknull(obj)
# hack (for now) because MI registers as ndarray
elif isinstance(obj, ABCMultiIndex):
raise NotImplementedError("isna is not defined for MultiIndex")
elif isinstance(obj, (ABCSeries, np.ndarray, ABCIndexClass)):
return _isna_ndarraylike(obj)
elif isinstance(obj, ABCGeneric):
> return obj._constructor(obj._data.isna(func=isna))
E AttributeError: 'Variable' object has no attribute '_constructor'
/usr/lib/python3/dist-packages/pandas/core/dtypes/missing.py:60: AttributeError
____________________ TestDataset.test_to_and_from_dataframe ____________________
self = <xarray.tests.test_dataset.TestDataset
testMethod=test_to_and_from_dataframe>
def test_to_and_from_dataframe(self):
x = np.random.randn(10)
y = np.random.randn(10)
t = list('abcdefghij')
ds = Dataset(OrderedDict([('a', ('t', x)),
('b', ('t', y)),
('t', ('t', t))]))
expected = pd.DataFrame(np.array([x, y]).T, columns=['a', 'b'],
index=pd.Index(t, name='t'))
actual = ds.to_dataframe()
# use the .equals method to check all DataFrame metadata
> assert expected.equals(actual), (expected, actual)
E AssertionError: ( a b
E t
E a 0.072263 0.754821
E b 0.007085 -0.761382
E c -0.756047 -2.248969
E d 1.78...0.042313
E f 1.096788 -1.234275
E g -0.170281 1.474616
E h -1.009202 0.194390
E i 0.498159 -0.546068
E j 0.158573 2.127260)
E assert False
E + where False = <bound method NDFrame.equals of a
b\nt \na 0.072263 0.754821\nb 0.007085
-0.76138...0.042313\nf 1.096788 -1.234275\ng -0.170281 1.474616\nh -1.009202
0.194390\ni 0.498159 -0.546068\nj 0.158573 2.127260>( a
b\nt \na 0.072263 0.754821\nb 0.007085 -0.761382\nc
-0.756047 -2.248969\nd 1.781... 0.042313\nf 1.096788 -1.234275\ng -0.170281
1.474616\nh -1.009202 0.194390\ni 0.498159 -0.546068\nj 0.158573 2.127260)
E + where <bound method NDFrame.equals of a b\nt
\na 0.072263 0.754821\nb 0.007085 -0.76138...0.042313\nf
1.096788 -1.234275\ng -0.170281 1.474616\nh -1.009202 0.194390\ni 0.498159
-0.546068\nj 0.158573 2.127260> = a b\nt
\na 0.072263 0.754821\nb 0.007085 -0.761382\nc -0.756047 -2.248969\nd
1.781... 0.042313\nf 1.096788 -1.234275\ng -0.170281 1.474616\nh -1.009202
0.194390\ni 0.498159 -0.546068\nj 0.158573 2.127260.equals
xarray/tests/test_dataset.py:2253: AssertionError
__________________________ TestDataset.test_unary_ops __________________________
self = <xarray.Variable (x: 3)>
array([100, 200, 300]), args = (), kwargs = {}
def func(self, *args, **kwargs):
try:
> return getattr(self, name)(*args, **kwargs)
E AttributeError: 'Variable' object has no attribute 'isna'
xarray/core/ops.py:193: AttributeError
During handling of the above exception, another exception occurred:
self = <xarray.tests.test_dataset.TestDataset testMethod=test_unary_ops>
def test_unary_ops(self):
ds = self.make_example_math_dataset()
self.assertDatasetIdentical(ds.apply(abs), abs(ds))
self.assertDatasetIdentical(ds.apply(lambda x: x + 4), ds + 4)
for func in [lambda x: x.isnull(),
lambda x: x.round(),
lambda x: x.astype(int)]:
> self.assertDatasetIdentical(ds.apply(func), func(ds))
xarray/tests/test_dataset.py:2981:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
xarray/tests/test_dataset.py:2978: in <lambda>
for func in [lambda x: x.isnull(),
xarray/core/dataset.py:2485: in func
ds._variables[k] = f(self._variables[k], *args, **kwargs)
xarray/core/ops.py:195: in func
return f(self, *args, **kwargs)
/usr/lib/python3/dist-packages/pandas/core/dtypes/missing.py:45: in isna
return _isna(obj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj = <xarray.Variable (x: 3)>
array([100, 200, 300])
def _isna_new(obj):
if is_scalar(obj):
return lib.checknull(obj)
# hack (for now) because MI registers as ndarray
elif isinstance(obj, ABCMultiIndex):
raise NotImplementedError("isna is not defined for MultiIndex")
elif isinstance(obj, (ABCSeries, np.ndarray, ABCIndexClass)):
return _isna_ndarraylike(obj)
elif isinstance(obj, ABCGeneric):
> return obj._constructor(obj._data.isna(func=isna))
E AttributeError: 'Variable' object has no attribute '_constructor'
/usr/lib/python3/dist-packages/pandas/core/dtypes/missing.py:60: AttributeError
___________________ TestIndexers.test_convert_label_indexer ____________________
def _get_level_number(self, level):
try:
count = self.names.count(level)
if count > 1:
raise ValueError('The name %s occurs multiple times, use a '
'level number' % level)
> level = self.names.index(level)
E ValueError: 2 is not in list
/usr/lib/python3/dist-packages/pandas/core/indexes/multi.py:655: ValueError
During handling of the above exception, another exception occurred:
self = <xarray.tests.test_indexing.TestIndexers
testMethod=test_convert_label_indexer>
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(index, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(index, 0)
with self.assertRaisesRegexp(ValueError, 'does not have a MultiIndex'):
indexing.convert_label_indexer(index, {'one': 0})
mindex = pd.MultiIndex.from_product([['a', 'b'], [1, 2]],
names=('one', 'two'))
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(mindex, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with self.assertRaises(ValueError):
indexing.convert_label_indexer(index, {'three': 0})
with self.assertRaisesRegexp(KeyError, 'index to be fully lexsorted'):
> indexing.convert_label_indexer(mindex, (slice(None), 1, 'no_level'))
xarray/tests/test_indexing.py:103:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
xarray/core/indexing.py:208: in convert_label_indexer
indexer = index.get_locs(label)
/usr/lib/python3/dist-packages/pandas/core/indexes/multi.py:2485: in get_locs
self.get_loc_level(k, level=i, drop_level=False)[0]),
/usr/lib/python3/dist-packages/pandas/core/indexes/multi.py:2196: in
get_loc_level
level = self._get_level_number(level)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
def _get_level_number(self, level):
try:
count = self.names.count(level)
if count > 1:
raise ValueError('The name %s occurs multiple times, use a '
'level number' % level)
level = self.names.index(level)
except ValueError:
if not isinstance(level, int):
raise KeyError('Level %s not found' % str(level))
elif level < 0:
level += self.nlevels
if level < 0:
orig_level = level - self.nlevels
raise IndexError('Too many levels: Index has only %d '
'levels, %d is not a valid level number' %
(self.nlevels, orig_level))
# Note: levels are zero-based
elif level >= self.nlevels:
raise IndexError('Too many levels: Index has only %d levels, '
> 'not %d' % (self.nlevels, level + 1))
E IndexError: Too many levels: Index has only 2 levels, not 3
/usr/lib/python3/dist-packages/pandas/core/indexes/multi.py:669: IndexError
=============================== warnings summary ===============================
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_conventions.py::TestDatetime::test_decode_cf_datetime_overflow
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_conventions.py:206:
RuntimeWarning: Unable to decode time axis into full numpy.datetime64 objects,
continuing using dummy netCDF4.datetime objects instead, reason: dates out of
range
result = conventions.decode_cf_datetime(day, units)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_conventions.py::TestDatetime::test_decode_cf_datetime_transition_to_invalid
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/conventions.py:393:
RuntimeWarning: Unable to decode time axis into full numpy.datetime64 objects,
continuing using dummy netCDF4.datetime objects instead, reason: dates out of
range
result = decode_cf_datetime(example_value, units, calendar)
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/conventions.py:412:
RuntimeWarning: Unable to decode time axis into full numpy.datetime64 objects,
continuing using dummy netCDF4.datetime objects instead, reason: dates out of
range
calendar=self.calendar)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_groupby_math
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:1649:
FutureWarning: the order of the arguments on DataArray.to_dataset has changed;
you now need to supply ``name`` as a keyword argument
ds = array.coords['x'].to_dataset('X')
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_resample
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_resample_first
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_resample_first_keep_attrs
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_resample_mean_keep_attrs
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_resample_skipna
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::TestDataArray::test_resample_upsampling
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-None-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-None-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-1-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,min_periods=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-1-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,min_periods=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-2-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,min_periods=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-2-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,min_periods=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-3-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,min_periods=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-1-3-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=1,min_periods=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-None-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-None-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-1-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,min_periods=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-1-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,min_periods=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-2-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,min_periods=2,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-2-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,min_periods=2,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-3-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,min_periods=2,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-2-3-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=2,min_periods=2,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-None-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-None-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-1-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,min_periods=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-1-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,min_periods=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-2-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,min_periods=2,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-2-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,min_periods=2,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-3-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,min_periods=3,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-3-3-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=3,min_periods=3,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-None-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-None-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-1-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,min_periods=1,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-1-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,min_periods=1,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-2-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,min_periods=2,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-2-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,min_periods=2,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-3-True]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,min_periods=3,center=True).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_pandas_compat[1-4-3-False]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py:2677:
FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in
a future version, replace with
Series.rolling(window=4,min_periods=3,center=False).mean()
min_periods=min_periods)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-None-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-None-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-1-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-1-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-2-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-2-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-3-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-3-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: Mean of empty slice
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-None-True-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-None-False-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-1-True-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-1-False-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-2-True-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-2-False-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-3-True-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[std-1-3-False-2]
/usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1427:
RuntimeWarning: Degrees of freedom <= 0 for slice.
keepdims=keepdims)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-None-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-None-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-1-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-1-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-2-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-2-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-3-True-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataarray.py::test_rolling_reduce[max-1-3-False-2]
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/variable.py:937:
RuntimeWarning: All-NaN slice encountered
axis=axis, **kwargs)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py::TestDataset::test_align_indexes
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py:1299:
FutureWarning: inferring DataArray dimensions from dictionary like ``coords``
has been deprecated. Use an explicit list of ``dims`` instead.
expected_x2 = Dataset({'foo': DataArray([2, 3, 1], coords={'x': [2, 3,
1]})})
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py::TestDataset::test_constructor_0d
/usr/lib/python3.6/unittest/case.py:605: FutureWarning: to_datetime is
deprecated. Use self.to_pydatetime()
testMethod()
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py::TestDataset::test_resample_and_first
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py::TestDataset::test_resample_by_last_discarding_attrs
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py::TestDataset::test_resample_by_mean_discarding_attrs
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_dataset.py::TestDataset::test_resample_by_mean_with_keep_attrs
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/common.py:547:
FutureWarning: pd.TimeGrouper is deprecated and will be removed; Please use
pd.Grouper(freq=...)
label=label, base=base)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_plot.py::TestPlot::test_subplot_kws
/usr/lib/python3/dist-packages/matplotlib/cbook/deprecation.py:106:
MatplotlibDeprecationWarning: The axisbg attribute was deprecated in version
2.0. Use facecolor instead.
warnings.warn(message, mplDeprecation, stacklevel=1)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_plot.py::TestDetermineCmapParams::test_integer_levels
/usr/lib/python3/dist-packages/seaborn/apionly.py:6: UserWarning: As seaborn
no longer sets a default style on import, the seaborn.apionly module is
deprecated. It will be removed in a future version.
warnings.warn(msg, UserWarning)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_plot.py::TestContour::test_single_level
/usr/lib/python3/dist-packages/matplotlib/contour.py:1180: UserWarning: No
contour levels were found within the data range.
warnings.warn("No contour levels were found"
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_variable.py::TestVariable::test_index_0d_not_a_time
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/core/duck_array_ops.py:124:
FutureWarning: In the future, 'NAT == x' and 'x == NAT' will always be False.
flag_array = (arr1 == arr2)
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/__init__.py:158:
FutureWarning: In the future, 'NAT == x' and 'x == NAT' will always be False.
assert a1 == a2 or (a1 != a1 and a2 != a2)
.pybuild/pythonX.Y_3.6/build/xarray/tests/test_variable.py::TestIndexVariable::test_index_0d_not_a_time
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build/xarray/tests/__init__.py:158:
FutureWarning: In the future, 'NAT == x' and 'x == NAT' will always be False.
assert a1 == a2 or (a1 != a1 and a2 != a2)
-- Docs: http://doc.pytest.org/en/latest/warnings.html
====== 7 failed, 1720 passed, 734 skipped, 78 warnings in 107.06 seconds =======
E: pybuild pybuild:283: test: plugin distutils failed with: exit code=1: cd
/build/1st/python-xarray-0.9.6/.pybuild/pythonX.Y_3.6/build; python3.6 -m
pytest
dh_auto_test: pybuild --test --test-pytest -i python{version} -p 3.6 returned
exit code 13
make: *** [debian/rules:9: build] Error 25
