numpy fails on s390x

Bug #1849477 reported by Dimitri John Ledkov
6
This bug affects 1 person
Affects Status Importance Assigned to Milestone
bottleneck (Ubuntu)
Invalid
Undecided
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Focal
Invalid
Undecided
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cftime (Ubuntu)
Invalid
Undecided
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Focal
Invalid
Undecided
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numpy (Ubuntu)
Fix Released
Undecided
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Focal
Fix Released
Undecided
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pykdtree (Ubuntu)
Invalid
Undecided
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Focal
Invalid
Undecided
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python-feather-format (Ubuntu)
Invalid
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Focal
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Bug Description

  File "/usr/lib/python3/dist-packages/numpy/core/_asarray.py", line 179, in ascontiguousarray
    return array(a, dtype, copy=False, order='C', ndmin=1)
ValueError: ndmin bigger than allowable number of dimensions NPY_MAXDIMS (=32)

numpy and many reverse-dependencies are failing with above valueerror on s390x

tags: added: rls-ff-incoming
tags: added: ftbfs
tags: added: s390x
Matthias Klose (doko)
tags: added: python3.8
Revision history for this message
Matthias Klose (doko) wrote :

now fixed in -proposed

Changed in bottleneck (Ubuntu):
status: New → Invalid
Changed in cftime (Ubuntu):
status: New → Invalid
Changed in pykdtree (Ubuntu):
status: New → Invalid
Changed in python-feather-format (Ubuntu):
status: New → Invalid
Changed in numpy (Ubuntu):
status: New → Fix Committed
tags: removed: rls-ff-incoming
Revision history for this message
Launchpad Janitor (janitor) wrote :

This bug was fixed in the package numpy - 1:1.17.3-0ubuntu2

---------------
numpy (1:1.17.3-0ubuntu2) focal; urgency=medium

  * d/patches/fix-s390x-ndmin-endianness.patch: fix int/intptr_t confusion
    that results in much breakage on big endian systems. (LP: #1849477)

 -- Michael Hudson-Doyle <email address hidden> Thu, 24 Oct 2019 12:13:18 +1300

Changed in numpy (Ubuntu Focal):
status: Fix Committed → Fix Released
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