[Numpy-discussion] Code Freeze for NumPy 1.7

Charles R Harris charlesr.harris at gmail.com
Sun Jul 15 12:42:29 EDT 2012


On Sun, Jul 15, 2012 at 10:32 AM, Ralf Gommers
<ralf.gommers at googlemail.com>wrote:

>
>
> On Sun, Jul 15, 2012 at 5:57 PM, Nathaniel Smith <njs at pobox.com> wrote:
>
>> On Sun, Jul 15, 2012 at 1:08 PM, Ralf Gommers
>> <ralf.gommers at googlemail.com> wrote:
>> >
>> >
>> > On Sun, Jul 15, 2012 at 12:45 AM, Travis Oliphant <travis at continuum.io>
>> > wrote:
>> >>
>> >>
>> >> Hey all,
>> >>
>> >> We are nearing a code-freeze for NumPy 1.7.   Are there any last-minute
>> >> changes people are wanting to push into NumPy 1.7?  We should discuss
>> them
>> >> as soon as possible.
>> >>
>> >> I'm proposing a code-freeze at midnight UTC on July 18th (7:00pm CDT on
>> >> July 17th).   This will allow the creation of beta releases of NumPy
>> on the
>> >> 18th of July. This is a few days later than originally hoped for ---
>> largely
>> >> due to unexpected travel schedules of Ondrej and I, but it does give
>> people
>> >> a few more days to get patches in.  Of course, we will be able to apply
>> >> bug-fixes to the 1.7.x branch once the tag is made.
>> >
>> >
>> > What about the tickets still open for 1.7.0
>> > (http://projects.scipy.org/numpy/report/3)? There are a few important
>> ones
>> > left.
>> >
>> > These I would consider blockers:
>> >   - #2108 Datetime failures with MinGW
>>
>> Is there a description anywhere of what the problem actually is here?
>> I looked at the ticket, which referred to a PR, and it's hard to work
>> out from the PR discussion what the actual remaining test failures are
>> -- and there definitely doesn't seem to be any description of the
>> underlying problem. (Something about working 64-bit time_t on windows
>> being difficult depending on the compiler used?)
>>
>
> There's a lot more discussion on
> http://projects.scipy.org/numpy/ticket/1909
> https://github.com/numpy/numpy/pull/156
> https://github.com/numpy/numpy/pull/161.
>
> The issue is that for MinGW 3.x some _s / _t functions seem to be missing.
> And we don't yet support MinGW 4.x.
>
> Current issues can be seen from the last test log on our Windows XP
> buildbot (June 29,
> http://buildbot.scipy.org/builders/Windows_XP_x86/builds/1124/steps/shell_1/logs/stdio
> ):
>
> ======================================================================
> ERROR: test_datetime_arange (test_datetime.TestDateTime)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_datetime.py", line 1351, in test_datetime_arange
>     assert_raises(ValueError, np.arange, np.datetime64('today'),
> OSError: Failed to use '_localtime64_s' to convert to a local time
>
> ======================================================================
> ERROR: test_datetime_y2038 (test_datetime.TestDateTime)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_datetime.py", line 1706, in test_datetime_y2038
>     a = np.datetime64('2038-01-20T13:21:14')
> OSError: Failed to use '_gmtime64_s' to convert to a UTC time
>
> ======================================================================
> ERROR: test_pydatetime_creation (test_datetime.TestDateTime)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_datetime.py", line 467, in test_pydatetime_creation
>     a = np.array(['today', datetime.date.today()], dtype='M8[D]')
> OSError: Failed to use '_localtime64_s' to convert to a local time
>
> ======================================================================
> ERROR: test_string_parser_variants (test_datetime.TestDateTime)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_datetime.py", line 1054, in test_string_parser_variants
>     assert_equal(np.array(['1980-02-29T01:02:03'], np.dtype('M8[s]')),
> OSError: Failed to use '_gmtime64_s' to convert to a UTC time
>
> ======================================================================
> ERROR: test_timedelta_scalar_construction_units (test_datetime.TestDateTime)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_datetime.py", line 287, in test_timedelta_scalar_construction_units
>     assert_equal(np.datetime64('2010-03-12T17').dtype,
> OSError: Failed to use '_gmtime64_s' to convert to a UTC time
>
> ======================================================================
> ERROR: Failure: OSError (Failed to use '_gmtime64_s' to convert to a UTC time)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
>   File "C:\Python26\lib\site-packages\nose\loader.py", line 382, in loadTestsFromName
>     addr.filename, addr.module)
>   File "C:\Python26\lib\site-packages\nose\importer.py", line 39, in importFromPath
>     return self.importFromDir(dir_path, fqname)
>   File "C:\Python26\lib\site-packages\nose\importer.py", line 86, in importFromDir
>     mod = load_module(part_fqname, fh, filename, desc)
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_multiarray.py", line 916, in <module>
>     class TestArgmax(TestCase):
>   File "C:\buildbot\numpy\b11\numpy-install\Lib\site-packages\numpy\core\tests\test_multiarray.py", line 938, in TestArgmax
>     np.datetime64('1994-06-21T14:43:15'),
> OSError: Failed to use '_gmtime64_s' to convert to a UTC time
>
>
>
I've wondered about the current status of MinGW 4.x, the mingw.org release
of GCC 4.7.0 was June 7. Looks like it is still 32 bits and breaks the ABI
...

Chuck
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20120715/8ce23f44/attachment.html>


More information about the NumPy-Discussion mailing list