c73e3af979
* Adds support for array parameter declaration in fortran... * Added ``bitwise_count`` UFuncs * Add binding for random pyx files * Use AVX512-FP16 SVML content for float16 umath functions * allow int sequences as shape arguments in numpy.memmap * Add .mT attribute for arrays * Create complex scalars from real and imaginary parts * add copy parameter for api.reshape function * make use of locals() in a comprehension fully compatible... * Add array API standard v2022.12 support to numpy.array_api * Change string to bool conversions to be consistent with... * Allow np.info on non-hashable objects with a dtype * let zeros, empty, and empty_like accept dtype classes * Bump C-ABI to 2 but accept older NumPy if compiled against... * Use high accuracy SVML for double precision umath functions * expose PyUFunc_GiveFloatingpointErrors in the dtype API * PyObject_IsTrue and PyObject_Not error handling in setflags * array2string does not add signs for positive integers. * Vectorize np.partition and np.argpartition using AVX-512 * Create helper for conversion to arrays * Add size check for threaded array assignment * Finalize ``fastCopyAndTranpose`` and other old C-funcs/members... * assert_array_less should report max violations instead of... * Introduce tracer for enabled CPU targets on each optimized... * Extend np.add ufunc to work with unicode and byte dtypes * Add find/rfind ufuncs for unicode and byte dtypes * Make ``intp`` ``ssize_t`` and introduce characters nN * Add isdigit/isspace/isdecimal/isnumeric ufuncs for string... * DType API slot for descriptor finalization before array... OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=161
65 lines
2.5 KiB
Diff
65 lines
2.5 KiB
Diff
From bf50761dee8f0670542bcdc1fd9bff5cdb0448d4 Mon Sep 17 00:00:00 2001
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From: Fabian Vogt <fvogt@suse.de>
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Date: Thu, 28 Mar 2024 14:39:45 +0100
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Subject: [PATCH] BUG: Fix test_impossible_feature_enable failing without
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BASELINE_FEAT
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If the build has no baseline features set, the test ended up setting
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e.g. NPY_ENABLE_CPU_FEATURES="ASIMDHP, None". This actually made the
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execution succeed, as the warning for decoding "None" overrode the
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error for the real feature. Fix the error handling there by removing
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the errorneous "return 0;", add a test for this, and avoid passing
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"None" by accident.
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---
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numpy/core/src/common/npy_cpu_features.c | 1 -
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numpy/core/tests/test_cpu_features.py | 14 ++++++++++++--
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2 files changed, 12 insertions(+), 3 deletions(-)
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diff --git a/numpy/core/src/common/npy_cpu_features.c b/numpy/core/src/common/npy_cpu_features.c
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index bd149f8b4..f4d25cc50 100644
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--- a/numpy/core/src/common/npy_cpu_features.c
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+++ b/numpy/core/src/common/npy_cpu_features.c
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@@ -324,7 +324,6 @@ npy__cpu_check_env(int disable, const char *env) {
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) < 0) {
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return -1;
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}
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- return 0;
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}
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#define NOTSUPP_BODY \
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diff --git a/numpy/core/tests/test_cpu_features.py b/numpy/core/tests/test_cpu_features.py
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index 48ab30a4a..88e4ad185 100644
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--- a/numpy/core/tests/test_cpu_features.py
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+++ b/numpy/core/tests/test_cpu_features.py
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@@ -308,8 +308,8 @@ def test_impossible_feature_enable(self):
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err_type = "RuntimeError"
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self._expect_error(msg, err_type)
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- # Ensure that only the bad feature gets reported
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- feats = f"{bad_feature}, {self.BASELINE_FEAT}"
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+ # Ensure that it fails even when providing garbage in addition
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+ feats = f"{bad_feature}, Foobar"
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self.env['NPY_ENABLE_CPU_FEATURES'] = feats
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msg = (
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f"You cannot enable CPU features \\({bad_feature}\\), since they "
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@@ -317,6 +317,16 @@ def test_impossible_feature_enable(self):
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)
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self._expect_error(msg, err_type)
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+ if self.BASELINE_FEAT is not None:
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+ # Ensure that only the bad feature gets reported
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+ feats = f"{bad_feature}, {self.BASELINE_FEAT}"
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+ self.env['NPY_ENABLE_CPU_FEATURES'] = feats
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+ msg = (
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+ f"You cannot enable CPU features \\({bad_feature}\\), since "
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+ "they are not supported by your machine."
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+ )
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+ self._expect_error(msg, err_type)
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+
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is_linux = sys.platform.startswith('linux')
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is_cygwin = sys.platform.startswith('cygwin')
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machine = platform.machine()
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--
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2.44.0
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