--- Begin Message ---
Source: python-dtcwt
Version: 0.12.0-3
Severity: serious
X-Debbugs-CC: nu...@packages.debian.org
Tags: sid bookworm
User: debian...@lists.debian.org
Usertags: needs-update
Control: affects -1 src:numpy
Dear maintainer(s),
With a recent upload of numpy the autopkgtest of python-dtcwt fails in
testing when that autopkgtest is run with the binary packages of numpy
from unstable. It passes when run with only packages from testing. In
tabular form:
pass fail
numpy from testing 1:1.23.5-2
python-dtcwt from testing 0.12.0-3
all others from testing from testing
I copied some of the output at the bottom of this report.
Currently this regression is blocking the migration of numpy to testing
[1]. Of course, numpy shouldn't just break your autopkgtest (or even
worse, your package), but it seems to me that the change in numpy was
intended and your package needs to update to the new situation.
If this is a real problem in your package (and not only in your
autopkgtest), the right binary package(s) from numpy should really add a
versioned Breaks on the unfixed version of (one of your) package(s).
Note: the Breaks is nice even if the issue is only in the autopkgtest as
it helps the migration software to figure out the right versions to
combine in the tests.
More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation
Paul
[1] https://qa.debian.org/excuses.php?package=numpy
https://ci.debian.net/data/autopkgtest/testing/amd64/p/python-dtcwt/29465794/log.gz
=================================== FAILURES
===================================
_______________________________ test_estimatereg
_______________________________
def test_estimatereg():
nlevels = 6
trans = Transform2d()
t1 = trans.forward(f1, nlevels=nlevels)
t2 = trans.forward(f2, nlevels=nlevels)
avecs = estimatereg(t1, t2)
tests/test_registration.py:31: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/lib/python3/dist-packages/dtcwt/registration.py:368: in estimatereg
qts += dtcwt.sampling.rescale(_boxfilter(x, 3), avecs.shape[:2],
method='bilinear')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
X = array([[[ 1.20862440e+05, -6.87922429e+02, 0.00000000e+00, ...,
0.00000000e+00, 0.00000000e+00, 0.0000000...[
9.03364731e+04, -2.12328587e+03, 8.28084336e+04, ...,
4.19311988e+01, -4.19288899e+01, 4.06605564e+01]]])
kernel_size = 3
def _boxfilter(X, kernel_size):
"""
INTERNAL
A simple box filter implementation.
"""
if kernel_size % 2 == 0:
raise ValueError('Kernel size must be odd')
for axis_idx in xrange(2):
slices = [slice(None),] * len(X.shape)
out = X
for delta in xrange(1, 1+(kernel_size-1)//2):
slices[axis_idx] = dtcwt.utils.reflect(
np.arange(X.shape[axis_idx]) + delta, -0.5,
X.shape[axis_idx]-0.5)
out = out + X[slices]
E IndexError: only integers, slices (`:`), ellipsis
(`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid
indices
/usr/lib/python3/dist-packages/dtcwt/registration.py:439: IndexError
=============================== warnings summary
===============================
tests/test_againstmatlab.py: 1 warning
tests/test_colifilt.py: 3 warnings
tests/test_ifm1.py: 12 warnings
tests/test_ifm2.py: 54 warnings
tests/test_xfm1.py: 14 warnings
tests/test_xfm2.py: 26 warnings
tests/test_xfm3.py: 2208 warnings
/usr/lib/python3/dist-packages/dtcwt/numpy/lowlevel.py:236:
DeprecationWarning: `np.int` is a deprecated alias for the builtin
`int`. To silence this warning, use `int` by itself. Doing this will not
modify any behavior and is safe. When replacing `np.int`, you may wish
to use e.g. `np.int64` or `np.int32` to specify the precision. If you
wish to review your current use, check the release note link for
additional information.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
xe = reflect(np.arange(-m2, r+m2, dtype=np.int), -0.5, r-0.5)
tests/test_againstmatlab.py: 1299 warnings
tests/test_colfilter.py: 6 warnings
tests/test_ifm1.py: 12 warnings
tests/test_ifm2.py: 48 warnings
tests/test_registration.py: 12 warnings
tests/test_xfm1.py: 24 warnings
tests/test_xfm2.py: 98 warnings
tests/test_xfm3.py: 7788 warnings
/usr/lib/python3/dist-packages/dtcwt/numpy/lowlevel.py:74:
DeprecationWarning: `np.int` is a deprecated alias for the builtin
`int`. To silence this warning, use `int` by itself. Doing this will not
modify any behavior and is safe. When replacing `np.int`, you may wish
to use e.g. `np.int64` or `np.int32` to specify the precision. If you
wish to review your current use, check the release note link for
additional information.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
xe = reflect(np.arange(-m2, r+m2, dtype=np.int), -0.5, r-0.5)
tests/test_againstmatlab.py: 4 warnings
tests/test_registration.py: 24 warnings
tests/test_sampling.py: 82 warnings
/usr/lib/python3/dist-packages/dtcwt/sampling.py:38:
DeprecationWarning: `np.int` is a deprecated alias for the builtin
`int`. To silence this warning, use `int` by itself. Doing this will not
modify any behavior and is safe. When replacing `np.int`, you may wish
to use e.g. `np.int64` or `np.int32` to specify the precision. If you
wish to review your current use, check the release note link for
additional information.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
sym_xs = reflect(xs, -0.5, im.shape[1]-0.5).astype(np.int)
tests/test_againstmatlab.py: 4 warnings
tests/test_registration.py: 24 warnings
tests/test_sampling.py: 82 warnings
/usr/lib/python3/dist-packages/dtcwt/sampling.py:39:
DeprecationWarning: `np.int` is a deprecated alias for the builtin
`int`. To silence this warning, use `int` by itself. Doing this will not
modify any behavior and is safe. When replacing `np.int`, you may wish
to use e.g. `np.int64` or `np.int32` to specify the precision. If you
wish to review your current use, check the release note link for
additional information.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
sym_ys = reflect(ys, -0.5, im.shape[0]-0.5).astype(np.int)
tests/test_colifilt.py::test_output_size_non_mult_4
tests/test_colifilt.py::test_non_orthogonal_input_non_mult_4
/usr/lib/python3/dist-packages/dtcwt/numpy/lowlevel.py:209:
DeprecationWarning: `np.int` is a deprecated alias for the builtin
`int`. To silence this warning, use `int` by itself. Doing this will not
modify any behavior and is safe. When replacing `np.int`, you may wish
to use e.g. `np.int64` or `np.int32` to specify the precision. If you
wish to review your current use, check the release note link for
additional information.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
xe = reflect(np.arange(-m2, r+m2, dtype=np.int), -0.5, r-0.5)
tests/test_ifm2.py::test_reconstruct_crop
tests/test_xfm2.py::test_odd_cols_w_scale
tests/test_xfm2.py::test_odd_rows_and_cols_w_scale
/usr/lib/python3/dist-packages/dtcwt/numpy/transform2d.py:165:
DeprecationWarning: The 'warn' function is deprecated, use 'warning' instead
logging.warn('The image entered is now a {0} NOT a {1}.'.format(
tests/test_ifm2.py::test_reconstruct_crop
tests/test_xfm2.py::test_odd_cols_w_scale
tests/test_xfm2.py::test_odd_rows_and_cols_w_scale
/usr/lib/python3/dist-packages/dtcwt/numpy/transform2d.py:168:
DeprecationWarning: The 'warn' function is deprecated, use 'warning' instead
logging.warn(
tests/test_registration.py::test_estimatereg
/usr/lib/python3/dist-packages/dtcwt/registration.py:439:
VisibleDeprecationWarning: Creating an ndarray from ragged nested
sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with
different lengths or shapes) is deprecated. If you meant to do this, you
must specify 'dtype=object' when creating the ndarray.
out = out + X[slices]
tests/test_xfm2.py::test_1d
tests/test_xfm2.py::test_odd_rows
tests/test_xfm2.py::test_odd_rows_w_scale
/usr/lib/python3/dist-packages/dtcwt/numpy/transform2d.py:172:
DeprecationWarning: The 'warn' function is deprecated, use 'warning' instead
logging.warn('The image entered is now a {0} NOT a {1}.'.format(
tests/test_xfm2.py::test_1d
tests/test_xfm2.py::test_odd_rows
tests/test_xfm2.py::test_odd_rows_w_scale
/usr/lib/python3/dist-packages/dtcwt/numpy/transform2d.py:175:
DeprecationWarning: The 'warn' function is deprecated, use 'warning' instead
logging.warn(
tests/test_xfm2.py::test_odd_cols
tests/test_xfm2.py::test_odd_rows_and_cols
/usr/lib/python3/dist-packages/dtcwt/numpy/transform2d.py:179:
DeprecationWarning: The 'warn' function is deprecated, use 'warning' instead
logging.warn('The image entered is now a {0} NOT a {1}.'.format(
tests/test_xfm2.py::test_odd_cols
tests/test_xfm2.py::test_odd_rows_and_cols
/usr/lib/python3/dist-packages/dtcwt/numpy/transform2d.py:182:
DeprecationWarning: The 'warn' function is deprecated, use 'warning' instead
logging.warn(
tests/test_xfm3.py::test_integer_input
/tmp/autopkgtest-lxc._a7ghh_d/downtmp/autopkgtest_tmp/tests/test_xfm3.py:126:
DeprecationWarning: `np.int` is a deprecated alias for the builtin
`int`. To silence this warning, use `int` by itself. Doing this will not
modify any behavior and is safe. When replacing `np.int`, you may wish
to use e.g. `np.int64` or `np.int32` to specify the precision. If you
wish to review your current use, check the release note link for
additional information.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Yl, Yh = dtwavexfm3(np.ones((4,4,4), dtype=np.int))
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info
============================
FAILED tests/test_registration.py::test_estimatereg - IndexError: only
intege...
========= 1 failed, 124 passed, 214 skipped, 11845 warnings in 10.71s
==========
autopkgtest [09:24:11]: test command1
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