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Many modules were imported but unused in our tests.
Additionally, some type hint issues were solved.
Pick-to: 6.8
Change-Id: Ic2368690e9a6ce0fffea812206185aa4f3dc3c58
Reviewed-by: Friedemann Kleint <Friedemann.Kleint@qt.io>
Reviewed-by: Shyamnath Premnadh <Shyamnath.Premnadh@qt.io>
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Add a future statement to all Python source files.
Task-number: PYSIDE-2786
Change-Id: Icd6688c7795a9e16fdcaa829686d57792df27690
Reviewed-by: Adrian Herrmann <adrian.herrmann@qt.io>
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uninitialized value
The size for long long was incorrect. Fix it and expand the test to
check values as well.
For really bizarre long types, the variable might be uninitialized,
causing
shiboken6/libshiboken/sbknumpyview.cpp:82:12: warning: type may be
used uninitialized in this function [-Wmaybe-uninitialized]
Fix by introducing a helper returning a std::optional.
Amends 499832abfdf13eac5aa35f84a62166fb5aa2e034.
Task-number: PYSIDE-2313
Pick-to: 6.5
Change-Id: Ie7d22a728a42f644fa84cba811c4e35e7db7ebb5
Reviewed-by: Adrian Herrmann <adrian.herrmann@qt.io>
Reviewed-by: Qt CI Bot <qt_ci_bot@qt-project.org>
Reviewed-by: Christian Tismer <tismer@stackless.com>
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The default type of numpy is int64 on Linux and long in Windows
these days. As numpy is still based on the old long/long long
scheme for the types, add some mapping.
[ChangeLog][shiboken6] numpy support has been extended to handle
short/long long integer types.
Fixes: PYSIDE-2313
Pick-to: 6.5
Change-Id: I75d9277ae0867401c2c188efb3a50f4c53c4fc24
Reviewed-by: Christian Tismer <tismer@stackless.com>
Reviewed-by: Qt CI Bot <qt_ci_bot@qt-project.org>
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