Numpy support: Handle short/long/long long integer types

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
Change-Id: I75d9277ae0867401c2c188efb3a50f4c53c4fc24
Reviewed-by: Christian Tismer <tismer@stackless.com>
Reviewed-by: Qt CI Bot <qt_ci_bot@qt-project.org>
(cherry picked from commit 499832abfdf13eac5aa35f84a62166fb5aa2e034)
Reviewed-by: Qt Cherry-pick Bot <cherrypick_bot@qt-project.org>

1 files changed, 43 insertions, 0 deletions

diff --git a/sources/pyside6/tests/QtCharts/qcharts_numpy_test.py b/sources/pyside6/tests/QtCharts/qcharts_numpy_test.py
new file mode 100644
index 000000000..044fab34c
--- /dev/null
+++ b/sources/pyside6/tests/QtCharts/qcharts_numpy_test.py
@@ -0,0 +1,43 @@
+#!/usr/bin/python
+# Copyright (C) 2023 The Qt Company Ltd.
+# SPDX-License-Identifier: LicenseRef-Qt-Commercial OR GPL-3.0-only WITH Qt-GPL-exception-1.0
+
+'''Test cases for QCharts/numpy'''
+
+import os
+import sys
+import unittest
+try:
+    import numpy as np
+    HAVE_NUMPY = True
+except ModuleNotFoundError:
+    HAVE_NUMPY = False
+
+from pathlib import Path
+sys.path.append(os.fspath(Path(__file__).resolve().parents[1]))
+from init_paths import init_test_paths
+init_test_paths(False)
+
+from helper.usesqapplication import UsesQApplication
+from PySide6.QtCore import QCoreApplication
+from PySide6.QtCharts import QLineSeries
+
+
+class QChartsNumpyTestCase(UsesQApplication):
+    '''Tests related to QCharts/numpy'''
+
+    @unittest.skipUnless(HAVE_NUMPY, "requires numpy")
+    def test(self):
+        """PYSIDE-2313: Verify various types."""
+        line_series = QLineSeries()
+        data_types = [np.short, np.ushort, np.int32, np.uint32,
+                      np.int64, np.uint64, np.float32, np.float64]
+        for dt in data_types:
+            old_size = line_series.count()
+            arr = np.array([2], dtype=dt)
+            line_series.appendNp(arr, arr)
+            self.assertEqual(line_series.count(), old_size + 1)
+
+
+if __name__ == '__main__':
+    unittest.main()