1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
|
From 76c9c8c4049943c490556fa888cf7743d1a677e5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20G=C3=B3rny?= <mgorny@gentoo.org>
Date: Mon, 12 Apr 2021 11:48:16 +0200
Subject: [PATCH] TST: Skip problematic datatypes based on their length
Filter datatypes for tests based on their length rather than keeping
a list of illegal platform+type combinations. This is more robust
than the previous solution and fixes the test failures with new numpy
versions (1.19.5 is the oldest I have tested) that declare 'float96'
and 'complex192' on i686 rather than 'float128' and 'complex256'.
This fixes the following test failure:
E AttributeError: module 'numpy' has no attribute 'float128'
plus, later on (again):
E TypeError: Illegal length 24 for complex dtype
---
h5py/tests/test_dtype.py | 12 +++---------
1 file changed, 3 insertions(+), 9 deletions(-)
diff --git a/h5py/tests/test_dtype.py b/h5py/tests/test_dtype.py
index c5fac97e..ec4eda21 100644
--- a/h5py/tests/test_dtype.py
+++ b/h5py/tests/test_dtype.py
@@ -13,8 +13,6 @@ except ImportError:
from .common import ut, TestCase
-UNSUPPORTED_LONG_DOUBLE = ('i386', 'i486', 'i586', 'i686', 'ppc64le')
-
class TestVlen(TestCase):
@@ -289,13 +287,9 @@ class TestOffsets(TestCase):
if (np.issubdtype(f, np.floating) or
np.issubdtype(f, np.complexfloating)))
- if platform.machine() in UNSUPPORTED_LONG_DOUBLE:
- dtype_dset_map = {str(j): d
- for j, d in enumerate(dtypes)
- if d not in (np.float128, np.complex256)}
- else:
- dtype_dset_map = {str(j): d
- for j, d in enumerate(dtypes)}
+ dtype_dset_map = {str(j): d
+ for j, d in enumerate(dtypes)
+ if d().nbytes in [4, 8, 16, 32]}
fname = self.mktemp()
--
2.31.1
|
