Source: astropy-healpix
Version: 0.4-1
User: debian-ci@lists.debian.org
Usertags: needs-update
Control: affects -1 src:python-numpy
[X-Debbugs-CC: debian-ci@lists.debian.org, python-numpy@packages.debian.org]
Dear maintainers,
With a recent upload of python-numpy the autopkgtest of astropy-healpix
fails in testing when that autopkgtest is run with the binary packages
of python-numpy from unstable. It passes when run with only packages
from testing. In tabular form:
pass fail
python-numpy from testing 1:1.16.0~rc2-1
astropy-healpix from testing 0.4-1
versioned deps [0] from testing from unstable
all others from testing from testing
I copied some of the output at the bottom of this report. Your
autopkgtest fails on a Deprecation Warning. If possible, please fix your
autopkgtest to not do that at all, but at least fix this issue.
Currently this regression is contributing to the delay of the migration
of python-numpy to testing [1]. Of course, python-numpy shouldn't just
break your autopkgtest (or even worse, your package), but it seems to me
that the change in python-numpy was intended and your package needs to
update to the new situation. If needed, please change the bug's severity.
I am going have this regression ignored for the python-numpy migration.
More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation
Paul
[0] You can see what packages were added from the second line of the log
file quoted below. The migration software adds source package from
unstable to the list if they are needed to install packages from
python-numpy/1:1.16.0~rc2-1. I.e. due to versioned dependencies or
breaks/conflicts.
[1] https://qa.debian.org/excuses.php?package=python-numpy
https://ci.debian.net/data/autopkgtest/testing/amd64/a/astropy-healpix/1658971/log.gz
=================================== FAILURES
===================================
_________________________________ test_vec2pix
_________________________________
@given(nside_pow=integers(0, 29), nest=booleans(),
> x=floats(-1, 1, allow_nan=False,
allow_infinity=False).filter(lambda x: abs(x) > 1e-10),
y=floats(-1, 1, allow_nan=False,
allow_infinity=False).filter(lambda y: abs(y) > 1e-10),
z=floats(-1, 1, allow_nan=False,
allow_infinity=False).filter(lambda z: abs(z) > 1e-10))
/usr/lib/python3/dist-packages/astropy_healpix/tests/test_healpy.py:118:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
/usr/lib/python3/dist-packages/hypothesis/core.py:519: in execute
result = self.test_runner(data, run)
/usr/lib/python3/dist-packages/hypothesis/executors.py:58: in
default_new_style_executor
return function(data)
/usr/lib/python3/dist-packages/hypothesis/core.py:517: in run
return test(*args, **kwargs)
/usr/lib/python3/dist-packages/astropy_healpix/tests/test_healpy.py:118:
in test_vec2pix
x=floats(-1, 1, allow_nan=False, allow_infinity=False).filter(lambda
x: abs(x) > 1e-10),
/usr/lib/python3/dist-packages/hypothesis/core.py:464: in test
result = self.test(*args, **kwargs)
/usr/lib/python3/dist-packages/astropy_healpix/tests/test_healpy.py:124:
in test_vec2pix
ipix1 = hp_compat.vec2pix(nside, x, y, z, nest=nest)
/usr/lib/python3/dist-packages/astropy_healpix/healpy.py:124: in vec2pix
theta = np.asscalar(theta)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
a = array([ 0.95531662])
@array_function_dispatch(_asscalar_dispatcher)
def asscalar(a):
"""
Convert an array of size 1 to its scalar equivalent.
.. deprecated:: 1.16
Deprecated, use `numpy.ndarray.item()` instead.
Parameters
----------
a : ndarray
Input array of size 1.
Returns
-------
out : scalar
Scalar representation of `a`. The output data type is the
same type
returned by the input's `item` method.
Examples
--------
>>> np.asscalar(np.array([24]))
24
"""
# 2018-10-10, 1.16
warnings.warn('np.asscalar(a) is deprecated since NumPy v1.16, use '
> 'a.item() instead', DeprecationWarning, stacklevel=1)
E DeprecationWarning: np.asscalar(a) is deprecated since NumPy
v1.16, use a.item() instead
/usr/lib/python3/dist-packages/numpy/lib/type_check.py:546:
DeprecationWarning
---------------------------------- Hypothesis
----------------------------------
Falsifying example: test_vec2pix(nside_pow=0, x=1.0000000827403713e-10,
y=1.0000000827403713e-10, z=1.0000000827403713e-10, nest=False)
______________________________ test_vec2pix_shape
______________________________
def test_vec2pix_shape():
> ipix = hp_compat.vec2pix(8, 1., 2., 3.)
/usr/lib/python3/dist-packages/astropy_healpix/tests/test_healpy.py:142:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
/usr/lib/python3/dist-packages/astropy_healpix/healpy.py:124: in vec2pix
theta = np.asscalar(theta)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
a = array([ 0.64052231])
@array_function_dispatch(_asscalar_dispatcher)
def asscalar(a):
"""
Convert an array of size 1 to its scalar equivalent.
.. deprecated:: 1.16
Deprecated, use `numpy.ndarray.item()` instead.
Parameters
----------
a : ndarray
Input array of size 1.
Returns
-------
out : scalar
Scalar representation of `a`. The output data type is the
same type
returned by the input's `item` method.
Examples
--------
>>> np.asscalar(np.array([24]))
24
"""
# 2018-10-10, 1.16
warnings.warn('np.asscalar(a) is deprecated since NumPy v1.16, use '
> 'a.item() instead', DeprecationWarning, stacklevel=1)
E DeprecationWarning: np.asscalar(a) is deprecated since NumPy
v1.16, use a.item() instead
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