Package: python-sparse
Severity: important
Tags: ftbfs
User: de...@lists.apertis.org
Usertags: apertis-ftbfs
X-Debbugs-Cc: de...@lists.apertis.org
Dear Maintainer,
It turns out that the package seems to be failing in some of the tests
on 32 bit systems.
=================================== FAILURES ===================================
______________________ [doctest] sparse._common.full_like ______________________
1384
1385 Returns
1386 -------
1387 out : SparseArray
1388 Array of `fill_value` with the same shape and type as `a`.
1389
1390 Examples
1391 --------
1392 >>> x = np.ones((2, 3), dtype='i8')
1393 >>> full_like(x, 9.0).todense() # doctest: +NORMALIZE_WHITESPACE
Expected:
array([[9, 9, 9],
[9, 9, 9]])
Got:
array([[9, 9, 9],
[9, 9, 9]], dtype=int64)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_common.py:1393:
DocTestFailure
______________________ [doctest] sparse._common.ones_like ______________________
1537
1538 Returns
1539 -------
1540 out : SparseArray
1541 Array of ones with the same shape and type as `a`.
1542
1543 Examples
1544 --------
1545 >>> x = np.ones((2, 3), dtype='i8')
1546 >>> ones_like(x).todense() # doctest: +NORMALIZE_WHITESPACE
Expected:
array([[1, 1, 1],
[1, 1, 1]])
Got:
array([[1, 1, 1],
[1, 1, 1]], dtype=int64)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_common.py:1546:
DocTestFailure
_____________________ [doctest] sparse._common.zeros_like ______________________
1461
1462 Returns
1463 -------
1464 out : SparseArray
1465 Array of zeros with the same shape and type as `a`.
1466
1467 Examples
1468 --------
1469 >>> x = np.ones((2, 3), dtype='i8')
1470 >>> zeros_like(x).todense() # doctest: +NORMALIZE_WHITESPACE
Expected:
array([[0, 0, 0],
[0, 0, 0]])
Got:
array([[0, 0, 0],
[0, 0, 0]], dtype=int64)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_common.py:1470:
DocTestFailure
__________________________ [doctest] sparse._dok.DOK ___________________________
056 <DOK: shape=(5, 5), dtype=int64, nnz=4, fill_value=0>
057
058 You can convert :obj:`DOK` arrays to :obj:`COO` arrays, or
:obj:`numpy.ndarray`
059 objects.
060
061 >>> from sparse import COO
062 >>> s3 = COO(s2)
063 >>> s3
064 <COO: shape=(5, 5), dtype=int64, nnz=4, fill_value=0>
065 >>> s2.todense() # doctest: +NORMALIZE_WHITESPACE
Differences (unified diff with -expected +actual):
@@ -3,3 +3,3 @@
[0, 6, 7, 0, 0],
[0, 0, 0, 0, 0],
- [0, 0, 0, 0, 0]])
+ [0, 0, 0, 0, 0]], dtype=int64)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_dok.py:65:
DocTestFailure
___________________ [doctest] sparse._slicing.sanitize_index ___________________
144 Sanitize the elements for indexing along one axis
145 >>> sanitize_index([2, 3, 5])
146 array([2, 3, 5])
147 >>> sanitize_index([True, False, True, False])
Expected:
array([0, 2])
Got:
array([0, 2], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_slicing.py:147:
DocTestFailure
____________________ [doctest] sparse._coo.common.argwhere _____________________
586
587 See Also
588 --------
589 :obj:`where`, :obj:`COO.nonzero`
590
591 Examples
592 --------
593 >>> import sparse
594 >>> x = sparse.COO(np.arange(6).reshape((2, 3)))
595 >>> sparse.argwhere(x > 1)
Differences (unified diff with -expected +actual):
@@ -2,3 +2,3 @@
[1, 0],
[1, 1],
- [1, 2]])
+ [1, 2]], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/common.py:595:
DocTestFailure
________________________ [doctest] sparse._coo.core.COO ________________________
070 You can create :obj:`COO` objects from Numpy arrays.
071
072 >>> x = np.eye(4, dtype=np.uint8)
073 >>> x[2, 3] = 5
074 >>> s = COO.from_numpy(x)
075 >>> s
076 <COO: shape=(4, 4), dtype=uint8, nnz=5, fill_value=0>
077 >>> s.data # doctest: +NORMALIZE_WHITESPACE
078 array([1, 1, 1, 5, 1], dtype=uint8)
079 >>> s.coords # doctest: +NORMALIZE_WHITESPACE
Expected:
array([[0, 1, 2, 2, 3],
[0, 1, 2, 3, 3]])
Got:
array([[0, 1, 2, 2, 3],
[0, 1, 2, 3, 3]], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/core.py:79:
DocTestFailure
_________________ [doctest] sparse._coo.core.COO._sort_indices _________________
1542 Sorts the :obj:`COO.coords` attribute. Also sorts the data in
1543 :obj:`COO.data` to match.
1544
1545 Examples
1546 --------
1547 >>> coords = np.array([[1, 2, 0]], dtype=np.uint8)
1548 >>> data = np.array([4, 1, 3], dtype=np.uint8)
1549 >>> s = COO(coords, data)
1550 >>> s._sort_indices()
1551 >>> s.coords # doctest: +NORMALIZE_WHITESPACE
Expected:
array([[0, 1, 2]])
Got:
array([[0, 1, 2]], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/core.py:1551:
DocTestFailure
________________ [doctest] sparse._coo.core.COO._sum_duplicates ________________
1570 --------
1571 scipy.sparse.coo_matrix.sum_duplicates : Equivalent Scipy function.
1572
1573 Examples
1574 --------
1575 >>> coords = np.array([[0, 1, 1, 2]], dtype=np.uint8)
1576 >>> data = np.array([6, 5, 2, 2], dtype=np.uint8)
1577 >>> s = COO(coords, data)
1578 >>> s._sum_duplicates()
1579 >>> s.coords # doctest: +NORMALIZE_WHITESPACE
Expected:
array([[0, 1, 2]])
Got:
array([[0, 1, 2]], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/core.py:1579:
DocTestFailure
__________________ [doctest] sparse._coo.core.COO.linear_loc ___________________
1244
1245 See Also
1246 --------
1247 :obj:`numpy.flatnonzero` : Equivalent Numpy function.
1248
1249 Examples
1250 --------
1251 >>> x = np.eye(5)
1252 >>> s = COO.from_numpy(x)
1253 >>> s.linear_loc() # doctest: +NORMALIZE_WHITESPACE
Expected:
array([ 0, 6, 12, 18, 24])
Got:
array([ 0, 6, 12, 18, 24], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/core.py:1253:
DocTestFailure
____________________ [doctest] sparse._coo.core.COO.nbytes _____________________
614 See Also
615 --------
616 numpy.ndarray.nbytes : The equivalent Numpy property.
617
618 Examples
619 --------
620 >>> data = np.arange(6, dtype=np.uint8)
621 >>> coords = np.random.randint(1000, size=(3, 6), dtype=np.uint16)
622 >>> s = COO(coords, data, shape=(1000, 1000, 1000))
623 >>> s.nbytes
Expected:
150
Got:
78
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/core.py:623:
DocTestFailure
____________________ [doctest] sparse._coo.core.COO.nonzero ____________________
1763
1764 Raises
1765 ------
1766 ValueError
1767 If the array doesn't have zero fill-values.
1768
1769 Examples
1770 --------
1771 >>> s = COO.from_numpy(np.eye(5))
1772 >>> s.nonzero()
Expected:
(array([0, 1, 2, 3, 4]), array([0, 1, 2, 3, 4]))
Got:
(array([0, 1, 2, 3, 4], dtype=int32), array([0, 1, 2, 3, 4], dtype=int32))
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/core.py:1772:
DocTestFailure
_________________ [doctest] sparse._coo.indexing._filter_pairs _________________
EXAMPLE LOCATION UNKNOWN, not showing all tests of that example
??? >>> _filter_pairs(starts, stops, coords, indices)
Expected:
ListType[int64]([2, 4, 6])
Got:
ListType[int32]([2, 4, 6])
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/indexing.py:None:
DocTestFailure
________________ [doctest] sparse._coo.indexing._get_mask_pairs ________________
EXAMPLE LOCATION UNKNOWN, not showing all tests of that example
??? >>> _get_mask_pairs(starts_old, stops_old, c, idx)
Expected:
(ListType[int64]([4]), ListType[int64]([6]), 2)
Got:
(ListType[int32]([4]), ListType[int32]([6]), 2)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/indexing.py:None:
DocTestFailure
_____________ [doctest] sparse._coo.indexing._ind_ar_from_indices ______________
197 Input indices (slices and integers)
198
199 Returns
200 -------
201 ind_ar : np.ndarray
202 The output array.
203
204 Examples
205 --------
206 >>> _ind_ar_from_indices([1])
Expected:
array([[1, 2, 1]])
Got:
array([[1, 2, 1]], dtype=int32)
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/indexing.py:206:
DocTestFailure
_____________ [doctest] sparse._coo.indexing._join_adjacent_pairs ______________
EXAMPLE LOCATION UNKNOWN, not showing all tests of that example
??? >>> _join_adjacent_pairs(starts, stops)
Expected:
(ListType[int64]([2]), ListType[int64]([7]))
Got:
(ListType[int32]([2]), ListType[int32]([7]))
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build/sparse/_coo/indexing.py:None:
DocTestFailure
=========================== short test summary info ============================
FAILED sparse/_common.py::sparse._common.full_like
FAILED sparse/_common.py::sparse._common.ones_like
FAILED sparse/_common.py::sparse._common.zeros_like
FAILED sparse/_dok.py::sparse._dok.DOK
FAILED sparse/_slicing.py::sparse._slicing.sanitize_index
FAILED sparse/_coo/common.py::sparse._coo.common.argwhere
FAILED sparse/_coo/core.py::sparse._coo.core.COO
FAILED sparse/_coo/core.py::sparse._coo.core.COO._sort_indices
FAILED sparse/_coo/core.py::sparse._coo.core.COO._sum_duplicates
FAILED sparse/_coo/core.py::sparse._coo.core.COO.linear_loc
FAILED sparse/_coo/core.py::sparse._coo.core.COO.nbytes
FAILED sparse/_coo/core.py::sparse._coo.core.COO.nonzero
FAILED sparse/_coo/indexing.py::sparse._coo.indexing._filter_pairs
FAILED sparse/_coo/indexing.py::sparse._coo.indexing._get_mask_pairs
FAILED sparse/_coo/indexing.py::sparse._coo.indexing._ind_ar_from_indices
FAILED sparse/_coo/indexing.py::sparse._coo.indexing._join_adjacent_pairs
===== 16 failed, 4370 passed, 1 skipped, 30 xfailed, 35 xpassed in 45.83s ======
E: pybuild pybuild:353: test: plugin distutils failed with: exit code=1: cd
/srv/build/python-sparse-0.11.2/.pybuild/cpython3_3.9_sparse/build; python3.9
-m pytest
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.9
returned exit code 13
make: *** [debian/rules:12: binary] Error 255
dpkg-buildpackage: error: debian/rules binary subprocess returned exit status 2
Command `dpkg-buildpackage --changes-option=-DDistribution=bullseye` failed.
gbp:error: '/home/rrs/bin/gbp-pbuilder' failed: it exited with 2
-- System Information:
Debian Release: 11.0
APT prefers testing
APT policy: (990, 'testing'), (500, 'unstable-debug'), (500,
'testing-debug'), (500, 'stable-updates'), (500, 'unstable'), (500, 'stable'),
(100, 'experimental')
Architecture: amd64 (x86_64)
Foreign Architectures: i386
Kernel: Linux 5.10.0-6-amd64 (SMP w/8 CPU threads)
Kernel taint flags: TAINT_USER
Locale: LANG=en_IN.UTF-8, LC_CTYPE=en_IN.UTF-8 (charmap=UTF-8), LANGUAGE=en_US
Shell: /bin/sh linked to /bin/dash
Init: systemd (via /run/systemd/system)
LSM: AppArmor: enabled
Versions of packages python-sparse depends on:
ii libamd2 1:5.8.1+dfsg-2
ii libatlas3-base [liblapack.so.3] 3.10.3-10
ii libblas3 [libblas.so.3] 3.9.0-3
ii libc6 2.31-12
ii liblapack3 [liblapack.so.3] 3.9.0-3
pn libsuperlu5 <none>
ii libumfpack5 1:5.8.1+dfsg-2
pn python <none>
pn python-numpy <none>
pn python-numpy-abi9 <none>
python-sparse recommends no packages.
Versions of packages python-sparse suggests:
pn python-sparse-examples <none>
