add patch to fix broken test on POWER for numpy in SciPy-bundle 2022.05

easybuild/easyconfigs/s/SciPy-bundle/SciPy-bundle-2022.05-foss-2022a.eb

@@ -27,6 +27,7 @@ exts_list = [
         'patches': [
             'numpy-1.20.3_disable_fortran_callback_test.patch',
             'numpy-1.22.3_disable-broken-override-test.patch',
+            '%(name)s-%(version)s_skip-ppc-long-complex-test.patch',
         ],
         'sources': ['%(name)s-%(version)s.zip'],
         'checksums': [
@@ -35,6 +36,8 @@ exts_list = [
             '44975a944544fd0e771b7e63c32590d257a3713070f8f7fdf60105dc516f1d75',
             # numpy-1.22.3_disable-broken-override-test.patch
             '9c589bb073b28b25ff45eb3c63c57966aa508dd8b318d0b885b6295271e4983c',
+            # numpy-1.22.3_skip-ppc-long-complex-test.patch
+            '058c8128b9f7158b4d5bedb2f52ccc7e1362b99c352c3d10335f98a6194c880e',
         ],
     }),
     ('ply', '3.11', {

easybuild/easyconfigs/s/SciPy-bundle/numpy-1.22.3_skip-ppc-long-complex-test.patch

@@ -0,0 +1,41 @@
+Include a PPC detection for the inaccurate trig functions
+See https://github.com/numpy/numpy/issues/15763
+
+Author: Alexander Grund (TU Dresden)
+
+diff --git a/numpy/core/tests/test_umath.py b/numpy/core/tests/test_umath.py
+index c0b26e75b..ee040fe4b 100644
+--- a/numpy/core/tests/test_umath.py
++++ b/numpy/core/tests/test_umath.py
+@@ -37,12 +37,17 @@ def on_powerpc():
+
+
+ def bad_arcsinh():
+-    """The blocklisted trig functions are not accurate on aarch64 for
++    """The blocklisted trig functions are not accurate on aarch64/PPC for
+     complex256. Rather than dig through the actual problem skip the
+     test. This should be fixed when we can move past glibc2.17
+     which is the version in manylinux2014
+     """
+-    x = 1.78e-10
++    if platform.machine() == 'aarch64':
++        x = 1.78e-10
++    elif on_powerpc():
++        x = 2.16e-10
++    else:
++        return False
+     v1 = np.arcsinh(np.float128(x))
+     v2 = np.arcsinh(np.complex256(x)).real
+     # The eps for float128 is 1-e33, so this is way bigger
+@@ -3434,9 +3439,9 @@ def check(x, rtol):
+         x_basic = np.logspace(-2.999, 0, 10, endpoint=False)
+
+         if dtype is np.longcomplex:
+-            if (platform.machine() == 'aarch64' and bad_arcsinh()):
++            if bad_arcsinh():
+                 pytest.skip("Trig functions of np.longcomplex values known "
+-                            "to be inaccurate on aarch64 for some compilation "
++                            "to be inaccurate on aarch64 and PPC for some compilation "
+                             "configurations.")
+             # It's not guaranteed that the system-provided arc functions
+             # are accurate down to a few epsilons. (Eg. on Linux 64-bit)