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author | Michał Górny <mgorny@gentoo.org> | 2020-05-25 16:43:37 +0200 |
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committer | Michał Górny <mgorny@gentoo.org> | 2020-05-25 18:16:26 +0200 |
commit | abe7707846fb7ccd4926444c8f26860787f51f44 (patch) | |
tree | ee59288395caf266c8dbd2dd73a94d04ac18068e /dev-python/toml/files | |
parent | profiles/arch/powerpc: Mask py39 due to slacking arch team (diff) | |
download | gentoo-abe7707846fb7ccd4926444c8f26860787f51f44.tar.gz gentoo-abe7707846fb7ccd4926444c8f26860787f51f44.tar.bz2 gentoo-abe7707846fb7ccd4926444c8f26860787f51f44.zip |
dev-python/toml: Handle missing numpy gracefully
Signed-off-by: Michał Górny <mgorny@gentoo.org>
Diffstat (limited to 'dev-python/toml/files')
-rw-r--r-- | dev-python/toml/files/toml-0.10.1-skip-numpy.patch | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/dev-python/toml/files/toml-0.10.1-skip-numpy.patch b/dev-python/toml/files/toml-0.10.1-skip-numpy.patch new file mode 100644 index 000000000000..5c6808d2daf4 --- /dev/null +++ b/dev-python/toml/files/toml-0.10.1-skip-numpy.patch @@ -0,0 +1,37 @@ +From 93901215b45db2ab9d50987ac109c29acbe34600 Mon Sep 17 00:00:00 2001 +From: =?UTF-8?q?Micha=C5=82=20G=C3=B3rny?= <mgorny@gentoo.org> +Date: Mon, 25 May 2020 16:38:17 +0200 +Subject: [PATCH] Skip numpy tests when numpy is not available + +Make it possible to successfully run tests without numpy installed. +This package is becoming quite hard profile, and being able to test it +without building numpy first would be a nice feature. +--- + tests/test_api.py | 4 ++-- + 1 file changed, 2 insertions(+), 2 deletions(-) + +diff --git a/tests/test_api.py b/tests/test_api.py +index dd12eb3..67bcd88 100644 +--- a/tests/test_api.py ++++ b/tests/test_api.py +@@ -103,7 +103,7 @@ def test_array_sep(): + + + def test_numpy_floats(): +- import numpy as np ++ np = pytest.importorskip('numpy') + + encoder = toml.TomlNumpyEncoder() + d = {'a': np.array([1, .3], dtype=np.float64)} +@@ -120,7 +120,7 @@ def test_numpy_floats(): + + + def test_numpy_ints(): +- import numpy as np ++ np = pytest.importorskip('numpy') + + encoder = toml.TomlNumpyEncoder() + d = {'a': np.array([1, 3], dtype=np.int64)} +-- +2.26.2 + |