- 09 Apr, 2024 7 commits
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Jérome Perrin authored
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Jérome Perrin authored
fixup! fixup! fixup! fixup! fixup! XMLExportImport: more support pickle protocol 3
🚧 ( repair python2 ) -
Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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- 08 Apr, 2024 17 commits
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Jérome Perrin authored
This is no longer needed now, maybe since Zope4. Which is a good thing because this option cannot be used on python3
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Paul Graydon authored
See merge request nexedi/erp5!1912
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Jérome Perrin authored
fixup! fixup! fixup! fixup! fixup! XMLExportImport: more support pickle protocol 3
🚧 ( repair python2 ) -
Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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- 06 Apr, 2024 3 commits
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Kazuhiko Shiozaki authored
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Kazuhiko Shiozaki authored
so that Tester methods will have some __roles__ as Getter.
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Kazuhiko Shiozaki authored
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- 05 Apr, 2024 4 commits
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Kazuhiko Shiozaki authored
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Kazuhiko Shiozaki authored
because str(float) result is different between py2/py3. * py2 >>> str(-0.8999999999999999) '-0.9' * py3 >>> str(-0.8999999999999999) '-0.8999999999999999'
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Kazuhiko Shiozaki authored
with ROUND_DOWN, we have a different behaviour between py2/py3, that caused failures in erp5_simplified_invoicing:testTradeModelLine. Here is what happened in _round(1.9999999999999998) in bt5/erp5_simulation/DocumentTemplateItem/portal_components/document.erp5.FloatEquivalenceTester.py * py2 decimal.Decimal(str(1.9999999999999998)).quantize(decimal.Decimal('0.000001'), 'ROUND_DOWN') => Decimal('2.000000') (because str(1.9999999999999998) is '2.0') * py3 decimal.Decimal(str(1.9999999999999998)).quantize(decimal.Decimal('0.000001'), 'ROUND_DOWN') => Decimal('1.999999') (because str(1.9999999999999998) is '1.9999999999999998') But ROUND_DOWN result of 1.9999999999999998 with 0.000001 precision should be 1.999999 thus py2 behaviour is wrong.
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Jérome Perrin authored
!1751 (comment 203735)
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- 04 Apr, 2024 6 commits
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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- 03 Apr, 2024 3 commits
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Jérome Perrin authored
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Jérome Perrin authored
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Jérome Perrin authored
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