Update to 2.3.4 - taken from Fedora 38c3028

This commit is contained in:
Tomáš Hrnčiar 2025-10-23 15:34:52 +02:00 committed by Lumir Balhar
parent ceb72e0645
commit 1ee33cab6e
4 changed files with 5 additions and 311 deletions

2
.gitignore vendored
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@ -106,3 +106,5 @@ numpy-1.4.1.tar.gz
/numpy-2.3.0.tar.gz
/numpy-2.3.1.tar.gz
/numpy-2.3.2.tar.gz
/numpy-2.3.3.tar.gz
/numpy-2.3.4.tar.gz

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@ -1,305 +0,0 @@
From 4883fb8dd854537c998249e73fee6f992148438b Mon Sep 17 00:00:00 2001
From: Nathan Goldbaum <nathan.goldbaum@gmail.com>
Date: Wed, 23 Apr 2025 12:34:47 +0200
Subject: [PATCH] Support Python 3.14
---
numpy/_core/src/multiarray/temp_elide.c | 48 +++++++++++++++++++++++-
numpy/_core/tests/test_dlpack.py | 8 ++--
numpy/_core/tests/test_dtype.py | 3 +-
numpy/_core/tests/test_indexing.py | 6 ++-
numpy/_core/tests/test_item_selection.py | 8 +++-
numpy/_core/tests/test_multiarray.py | 4 +-
numpy/_core/tests/test_nditer.py | 7 +++-
numpy/_core/tests/test_regression.py | 43 ++++++++++-----------
numpy/_core/tests/test_umath.py | 4 +-
9 files changed, 93 insertions(+), 38 deletions(-)
diff --git a/numpy/_core/src/multiarray/temp_elide.c b/numpy/_core/src/multiarray/temp_elide.c
index 662a2fa..667ba2b 100644
--- a/numpy/_core/src/multiarray/temp_elide.c
+++ b/numpy/_core/src/multiarray/temp_elide.c
@@ -62,6 +62,13 @@
#include <feature_detection_misc.h>
+#if PY_VERSION_HEX >= 0x030E00A7 && !defined(PYPY_VERSION)
+#define Py_BUILD_CORE
+#include "internal/pycore_frame.h"
+#include "internal/pycore_interpframe.h"
+#undef Py_BUILD_CORE
+#endif
+
/* 1 prints elided operations, 2 prints stacktraces */
#define NPY_ELIDE_DEBUG 0
#define NPY_MAX_STACKSIZE 10
@@ -109,6 +116,41 @@ find_addr(void * addresses[], npy_intp naddr, void * addr)
return 0;
}
+static int
+check_unique_temporary(PyObject *lhs)
+{
+#if PY_VERSION_HEX >= 0x030E00A7 && !defined(PYPY_VERSION)
+ // In Python 3.14.0a7 and later, a reference count of one doesn't guarantee
+ // that an object is a unique temporary variable. We scan the top of the
+ // interpreter stack to check if the object exists as an "owned" reference
+ // in the temporary stack.
+ PyFrameObject *frame = PyEval_GetFrame();
+ if (frame == NULL) {
+ return 0;
+ }
+ _PyInterpreterFrame *f = frame->f_frame;
+ _PyStackRef *base = _PyFrame_Stackbase(f);
+ _PyStackRef *stackpointer = f->stackpointer;
+ int found_once = 0;
+ while (stackpointer > base) {
+ stackpointer--;
+ PyObject *obj = PyStackRef_AsPyObjectBorrow(*stackpointer);
+ if (obj == lhs) {
+ if (!found_once && PyStackRef_IsHeapSafe(*stackpointer)) {
+ found_once = 1;
+ }
+ else {
+ return 0;
+ }
+ }
+ return found_once;
+ }
+ return 0;
+#else
+ return 1;
+#endif
+}
+
static int
check_callers(int * cannot)
{
@@ -295,7 +337,8 @@ can_elide_temp(PyObject *olhs, PyObject *orhs, int *cannot)
!PyArray_CHKFLAGS(alhs, NPY_ARRAY_OWNDATA) ||
!PyArray_ISWRITEABLE(alhs) ||
PyArray_CHKFLAGS(alhs, NPY_ARRAY_WRITEBACKIFCOPY) ||
- PyArray_NBYTES(alhs) < NPY_MIN_ELIDE_BYTES) {
+ PyArray_NBYTES(alhs) < NPY_MIN_ELIDE_BYTES ||
+ !check_unique_temporary(olhs)) {
return 0;
}
if (PyArray_CheckExact(orhs) ||
@@ -372,7 +415,8 @@ can_elide_temp_unary(PyArrayObject * m1)
!PyArray_ISNUMBER(m1) ||
!PyArray_CHKFLAGS(m1, NPY_ARRAY_OWNDATA) ||
!PyArray_ISWRITEABLE(m1) ||
- PyArray_NBYTES(m1) < NPY_MIN_ELIDE_BYTES) {
+ PyArray_NBYTES(m1) < NPY_MIN_ELIDE_BYTES ||
+ !check_unique_temporary((PyObject *)m1)) {
return 0;
}
if (check_callers(&cannot)) {
diff --git a/numpy/_core/tests/test_dlpack.py b/numpy/_core/tests/test_dlpack.py
index 41dd724..d273bd7 100644
--- a/numpy/_core/tests/test_dlpack.py
+++ b/numpy/_core/tests/test_dlpack.py
@@ -22,9 +22,9 @@ class TestDLPack:
def test_dunder_dlpack_refcount(self, max_version):
x = np.arange(5)
y = x.__dlpack__(max_version=max_version)
- assert sys.getrefcount(x) == 3
+ startcount = sys.getrefcount(x)
del y
- assert sys.getrefcount(x) == 2
+ assert startcount - sys.getrefcount(x) == 1
def test_dunder_dlpack_stream(self):
x = np.arange(5)
@@ -58,9 +58,9 @@ def test_strides_not_multiple_of_itemsize(self):
def test_from_dlpack_refcount(self, arr):
arr = arr.copy()
y = np.from_dlpack(arr)
- assert sys.getrefcount(arr) == 3
+ startcount = sys.getrefcount(arr)
del y
- assert sys.getrefcount(arr) == 2
+ assert startcount - sys.getrefcount(arr) == 1
@pytest.mark.parametrize("dtype", [
np.bool,
diff --git a/numpy/_core/tests/test_dtype.py b/numpy/_core/tests/test_dtype.py
index deeca51..759eefe 100644
--- a/numpy/_core/tests/test_dtype.py
+++ b/numpy/_core/tests/test_dtype.py
@@ -1901,9 +1901,10 @@ class mytype:
if HAS_REFCOUNT:
# Create an array and test that memory gets cleaned up (gh-25949)
o = object()
+ startcount = sys.getrefcount(o)
a = np.array([o], dtype=dt)
del a
- assert sys.getrefcount(o) == 2
+ assert sys.getrefcount(o) == startcount
def test_custom_structured_dtype_errors(self):
class mytype:
diff --git a/numpy/_core/tests/test_indexing.py b/numpy/_core/tests/test_indexing.py
index f393c40..bb757cd 100644
--- a/numpy/_core/tests/test_indexing.py
+++ b/numpy/_core/tests/test_indexing.py
@@ -1174,6 +1174,8 @@ def _compare_index_result(self, arr, index, mimic_get, no_copy):
"""Compare mimicked result to indexing result.
"""
arr = arr.copy()
+ if HAS_REFCOUNT:
+ startcount = sys.getrefcount(arr)
indexed_arr = arr[index]
assert_array_equal(indexed_arr, mimic_get)
# Check if we got a view, unless its a 0-sized or 0-d array.
@@ -1184,9 +1186,9 @@ def _compare_index_result(self, arr, index, mimic_get, no_copy):
if HAS_REFCOUNT:
if no_copy:
# refcount increases by one:
- assert_equal(sys.getrefcount(arr), 3)
+ assert_equal(sys.getrefcount(arr), startcount + 1)
else:
- assert_equal(sys.getrefcount(arr), 2)
+ assert_equal(sys.getrefcount(arr), startcount)
# Test non-broadcast setitem:
b = arr.copy()
diff --git a/numpy/_core/tests/test_item_selection.py b/numpy/_core/tests/test_item_selection.py
index 5660ef5..839127e 100644
--- a/numpy/_core/tests/test_item_selection.py
+++ b/numpy/_core/tests/test_item_selection.py
@@ -50,19 +50,23 @@ def test_simple(self):
def test_refcounting(self):
objects = [object() for i in range(10)]
+ if HAS_REFCOUNT:
+ orig_rcs = [sys.getrefcount(o) for o in objects]
for mode in ('raise', 'clip', 'wrap'):
a = np.array(objects)
b = np.array([2, 2, 4, 5, 3, 5])
a.take(b, out=a[:6], mode=mode)
del a
if HAS_REFCOUNT:
- assert_(all(sys.getrefcount(o) == 3 for o in objects))
+ assert_(all(sys.getrefcount(o) == rc + 1
+ for o, rc in zip(objects, orig_rcs)))
# not contiguous, example:
a = np.array(objects * 2)[::2]
a.take(b, out=a[:6], mode=mode)
del a
if HAS_REFCOUNT:
- assert_(all(sys.getrefcount(o) == 3 for o in objects))
+ assert_(all(sys.getrefcount(o) == rc + 1
+ for o, rc in zip(objects, orig_rcs)))
def test_unicode_mode(self):
d = np.arange(10)
diff --git a/numpy/_core/tests/test_multiarray.py b/numpy/_core/tests/test_multiarray.py
index 8750873..3f26578 100644
--- a/numpy/_core/tests/test_multiarray.py
+++ b/numpy/_core/tests/test_multiarray.py
@@ -6779,10 +6779,12 @@ def test_dot_3args(self):
v = np.random.random_sample((16, 32))
r = np.empty((1024, 32))
+ if HAS_REFCOUNT:
+ orig_refcount = sys.getrefcount(r)
for i in range(12):
dot(f, v, r)
if HAS_REFCOUNT:
- assert_equal(sys.getrefcount(r), 2)
+ assert_equal(sys.getrefcount(r), orig_refcount)
r2 = dot(f, v, out=None)
assert_array_equal(r2, r)
assert_(r is dot(f, v, out=r))
diff --git a/numpy/_core/tests/test_nditer.py b/numpy/_core/tests/test_nditer.py
index b0d911f..3e31e82 100644
--- a/numpy/_core/tests/test_nditer.py
+++ b/numpy/_core/tests/test_nditer.py
@@ -1127,7 +1127,12 @@ def test_iter_object_arrays_conversions():
for x in i:
x[...] += 1
if HAS_REFCOUNT:
- assert_(sys.getrefcount(ob) == rc-1)
+ # TODO: why did this change?
+ newrc = sys.getrefcount(ob)
+ if sys.version_info < (3, 14):
+ assert_(newrc == rc - 1)
+ else:
+ assert_(newrc == rc)
assert_equal(a, np.arange(6)+98172489)
def test_iter_common_dtype():
diff --git a/numpy/_core/tests/test_regression.py b/numpy/_core/tests/test_regression.py
index 851ce32..eeb6406 100644
--- a/numpy/_core/tests/test_regression.py
+++ b/numpy/_core/tests/test_regression.py
@@ -1586,29 +1586,26 @@ def test_take_refcount(self):
def test_fromfile_tofile_seeks(self):
# On Python 3, tofile/fromfile used to get (#1610) the Python
# file handle out of sync
- f0 = tempfile.NamedTemporaryFile()
- f = f0.file
- f.write(np.arange(255, dtype='u1').tobytes())
-
- f.seek(20)
- ret = np.fromfile(f, count=4, dtype='u1')
- assert_equal(ret, np.array([20, 21, 22, 23], dtype='u1'))
- assert_equal(f.tell(), 24)
-
- f.seek(40)
- np.array([1, 2, 3], dtype='u1').tofile(f)
- assert_equal(f.tell(), 43)
-
- f.seek(40)
- data = f.read(3)
- assert_equal(data, b"\x01\x02\x03")
-
- f.seek(80)
- f.read(4)
- data = np.fromfile(f, dtype='u1', count=4)
- assert_equal(data, np.array([84, 85, 86, 87], dtype='u1'))
-
- f.close()
+ with tempfile.NamedTemporaryFile() as f:
+ f.write(np.arange(255, dtype='u1').tobytes())
+
+ f.seek(20)
+ ret = np.fromfile(f, count=4, dtype='u1')
+ assert_equal(ret, np.array([20, 21, 22, 23], dtype='u1'))
+ assert_equal(f.tell(), 24)
+
+ f.seek(40)
+ np.array([1, 2, 3], dtype='u1').tofile(f)
+ assert_equal(f.tell(), 43)
+
+ f.seek(40)
+ data = f.read(3)
+ assert_equal(data, b"\x01\x02\x03")
+
+ f.seek(80)
+ f.read(4)
+ data = np.fromfile(f, dtype='u1', count=4)
+ assert_equal(data, np.array([84, 85, 86, 87], dtype='u1'))
def test_complex_scalar_warning(self):
for tp in [np.csingle, np.cdouble, np.clongdouble]:
diff --git a/numpy/_core/tests/test_umath.py b/numpy/_core/tests/test_umath.py
index 4d56c78..d432e33 100644
--- a/numpy/_core/tests/test_umath.py
+++ b/numpy/_core/tests/test_umath.py
@@ -269,9 +269,9 @@ class ArrSubclass(np.ndarray):
pass
arr = np.arange(10).view(ArrSubclass)
-
+ orig_refcount = sys.getrefcount(arr)
arr *= 1
- assert sys.getrefcount(arr) == 2
+ assert sys.getrefcount(arr) == orig_refcount
class TestComparisons:
--
2.49.0

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@ -21,8 +21,8 @@
%global modname numpy
Name: python%{python3_pkgversion}-numpy
Version: 2.3.2
Release: 2%{?dist}
Version: 2.3.4
Release: 1%{?dist}
Summary: A fast multidimensional array facility for Python
# Everything is BSD-3-Clause except...
@ -35,9 +35,6 @@ License: BSD-3-Clause AND MIT AND Apache-2.0 AND (Zlib OR BSL-1.0)
URL: http://www.numpy.org/
Source0: https://github.com/%{modname}/%{modname}/releases/download/v%{version}/%{modname}-%{version}.tar.gz
# https://github.com/numpy/numpy/pull/28748
#Patch: Support-Python-3.14.patch
BuildRequires: python%{python3_pkgversion}-devel
BuildRequires: gcc-gfortran gcc gcc-c++
BuildRequires: lapack-devel

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@ -1,2 +1,2 @@
SHA512 (numpy-2.3.2.tar.gz) = 8f315a681704f1a18712828b5b9d5cd602576230fb08ff00c293ce129656faa49c9e01a446989dbd4d678166975432b531915e4838be66655ead1f0fc05be861
SHA512 (numpy-2.3.4.tar.gz) = 62d1b2be15e8b23487d384438bbffa26c1bd25ee7b800f4f7cbe3cff3f7d196329efdfdd08e66acc557cea050cc125437ca621cd84a9d06aab497060ab36949a
SHA512 (numpy-html.zip) = 9c38a65fd33be28cec9a27d2b23b50cb215fe7fd775f467a78a21f4649466868a24b6004ebf1b31e0eca62c2e5582e89923ff2bb4b3ae70dfa9292672e7b1eca