numpy - pypi Package Compare versions

Comparing version 2.4.3 to 2.4.4

doc/changelog/2.4.4-changelog.rst

+
+Contributors
+============
+
+A total of 8 people contributed to this release.  People with a "+" by their
+names contributed a patch for the first time.
+
+* Charles Harris
+* Daniel Haag +
+* Denis Prokopenko +
+* Harshith J +
+* Koki Watanabe
+* Marten van Kerkwijk
+* Matti Picus
+* Nathan Goldbaum
+
+Pull requests merged
+====================
+
+A total of 7 pull requests were merged for this release.
+
+* `#30978 <https://github.com/numpy/numpy/pull/30978>`__: MAINT: Prepare 2.4.x for further development
+* `#31049 <https://github.com/numpy/numpy/pull/31049>`__: BUG: Add test to reproduce problem described in #30816 (#30818)
+* `#31052 <https://github.com/numpy/numpy/pull/31052>`__: BUG: fix FNV-1a 64-bit selection by using NPY_SIZEOF_UINTP (#31035)
+* `#31053 <https://github.com/numpy/numpy/pull/31053>`__: BUG: avoid warning on ufunc with where=True and no output
+* `#31058 <https://github.com/numpy/numpy/pull/31058>`__: DOC: document caveats of ndarray.resize on 3.14 and newer
+* `#31079 <https://github.com/numpy/numpy/pull/31079>`__: TST: fix POWER VSX feature mapping (#30801)
+* `#31084 <https://github.com/numpy/numpy/pull/31084>`__: MAINT: numpy.i: Replace deprecated ``sprintf`` with ``snprintf``...
+

doc/source/release/2.4.4-notes.rst

+.. currentmodule:: numpy
+
+=========================
+NumPy 2.4.4 Release Notes
+=========================
+
+The NumPy 2.4.3 is a patch release that fixes bugs discovered after the 2.4.2
+release. It should finally close issue #30816, the OpenBLAS threading problem
+on ARM.
+
+This release supports Python versions 3.11-3.14
+
+
+Contributors
+============
+
+A total of 8 people contributed to this release.  People with a "+" by their
+names contributed a patch for the first time.
+
+* Charles Harris
+* Daniel Haag +
+* Denis Prokopenko +
+* Harshith J +
+* Koki Watanabe
+* Marten van Kerkwijk
+* Matti Picus
+* Nathan Goldbaum
+
+
+Pull requests merged
+====================
+
+A total of 7 pull requests were merged for this release.
+
+* `#30978 <https://github.com/numpy/numpy/pull/30978>`__: MAINT: Prepare 2.4.x for further development
+* `#31049 <https://github.com/numpy/numpy/pull/31049>`__: BUG: Add test to reproduce problem described in #30816 (#30818)
+* `#31052 <https://github.com/numpy/numpy/pull/31052>`__: BUG: fix FNV-1a 64-bit selection by using NPY_SIZEOF_UINTP (#31035)
+* `#31053 <https://github.com/numpy/numpy/pull/31053>`__: BUG: avoid warning on ufunc with where=True and no output
+* `#31058 <https://github.com/numpy/numpy/pull/31058>`__: DOC: document caveats of ndarray.resize on 3.14 and newer
+* `#31079 <https://github.com/numpy/numpy/pull/31079>`__: TST: fix POWER VSX feature mapping (#30801)
+* `#31084 <https://github.com/numpy/numpy/pull/31084>`__: MAINT: numpy.i: Replace deprecated ``sprintf`` with ``snprintf``...

doc/source/release.rst

@@ -8,2 +8,3 @@ *************
 
+    2.4.4 <release/2.4.4-notes>
     2.4.3 <release/2.4.3-notes>
@@ -10,0 +11,0 @@ 2.4.2 <release/2.4.2-notes>

numpy/_core/src/multiarray/fnv.c

@@ -75,3 +75,4 @@ /*
  * Compute a size_t FNV-1a hash of the given data
- * This will use 32-bit or 64-bit hash depending on the size of size_t
+ * This will use 32-bit or 64-bit hash depending on the size of npy_uintp.
+ * npy_uintp has the same size as size_t.
  */
@@ -81,7 +82,7 @@ size_t
 {
-#if NPY_SIZEOF_SIZE_T == 8
+#if NPY_SIZEOF_UINTP == 8
     return (size_t)npy_fnv1a_64(buf, len, FNV1A_64_INIT);
-#else /* NPY_SIZEOF_SIZE_T == 4 */
+#else /* NPY_SIZEOF_UINTP == 4 */
     return (size_t)npy_fnv1a_32(buf, len, FNV1A_32_INIT);
 #endif
 }

numpy/_core/src/multiarray/shape.c

@@ -80,8 +80,10 @@ #define NPY_NO_DEPRECATED_API NPY_API_VERSION
 
+        static const char *msg =
+                "cannot resize an array that references or is referenced\n"
+                "by another object in this way.\n"
+                "Use the np.resize function to get a new resized copy or\n "
+                "set refcheck=False to disable this check";
         if (PyArray_BASE(self) != NULL
               || (((PyArrayObject_fields *)self)->weakreflist != NULL)) {
-            PyErr_SetString(PyExc_ValueError,
-                    "cannot resize an array that "
-                    "references or is referenced\n"
-                    "by another array in this way. Use the np.resize function.");
+            PyErr_SetString(PyExc_ValueError, msg);
             return -1;
@@ -97,12 +99,23 @@ }
 #if PY_VERSION_HEX >= 0x030E00B0
+            // Python 3.14 changed reference counting semantics for function-
+            // local variables. There is no way to tell if the calling function
+            // has been optimized (because it might be implemented in C or Cython)
+            //
+            // Instead, warn if the refcount is exactly 2 that this might be a
+            // false positive
             if (!PyUnstable_Object_IsUniquelyReferenced((PyObject *)self)) {
+                if (Py_REFCNT(self) == 2) {
+                    PyErr_SetString(
+                            PyExc_ValueError,
+                            "cannot resize an array that may be referenced "
+                            "by another object.\n"
+                            "It is possible that this is a false positive.\n"
+                            "If you are sure that the array is uniquely referenced, "
+                            "set refcheck=False.");
+                    return -1;
+                }
 #else
             if (Py_REFCNT(self) > 2) {
 #endif
-                PyErr_SetString(
-                        PyExc_ValueError,
-                        "cannot resize an array that "
-                        "references or is referenced\n"
-                        "by another array in this way.\n"
-                        "Use the np.resize function or refcheck=False");
+                PyErr_SetString(PyExc_ValueError, msg);
                 return -1;
@@ -187,2 +200,8 @@ }
  * weak-references and no base object.
+ *
+ * On Python 3.13 and older, the check allows objects with exactly one
+ * reference to be reallocated in-place. On Python 3.14 and newer, the array
+ * must be uniquely referenced. In some cases this can lead to spurious
+ * ValueErrors.
+ *
  */
@@ -189,0 +208,0 @@ NPY_NO_EXPORT PyObject *

numpy/_core/tests/examples/cython/checks.pyx

@@ -7,2 +7,3 @@ #cython: language_level=3
 """
+import numpy as np
 cimport numpy as cnp
@@ -376,1 +377,7 @@ cnp.import_array()
     return cnp.NPY_UINTP > 0
+
+
+def resize_refcheck_test():
+    # see gh-30991
+    a = np.array([[0, 1], [2, 3]], order='C')
+    a.resize((2, 1))

numpy/_core/tests/test_cpu_features.py

@@ -381,8 +381,40 @@ import os
     features = ["VSX", "VSX2", "VSX3", "VSX4"]
-    features_map = {"VSX2": "ARCH_2_07", "VSX3": "ARCH_3_00", "VSX4": "ARCH_3_1"}
+    features_map = {
+        "VSX":  "ARCH_2_06",
+        "VSX2": "ARCH_2_07",
+        "VSX3": "ARCH_3_00",
+        "VSX4": "ARCH_3_1B"
+    }
 
     def load_flags(self):
         self.load_flags_auxv()
+        platform = self._get_platform()
 
+        if platform:
+            power_match = re.search(r'power(\d+)', platform, re.IGNORECASE)
+            if power_match:
+                power_gen = int(power_match.group(1))
+                if power_gen >= 7:
+                    self.features_flags.add("ARCH_2_06")
+                if power_gen >= 8:
+                    self.features_flags.add("ARCH_2_07")
+                if power_gen >= 9:
+                    self.features_flags.add("ARCH_3_00")
+                if power_gen >= 10:
+                    self.features_flags.add("ARCH_3_1B")
 
+    def _get_platform(self):
+        """Get the AT_PLATFORM value from AUXV"""
+        try:
+            auxv = subprocess.check_output(['/bin/true'], env={"LD_SHOW_AUXV": "1"})
+            for line in auxv.split(b'\n'):
+                if line.startswith(b'AT_PLATFORM'):
+                    parts = line.split(b':', 1)
+                    if len(parts) == 2:
+                        return parts[1].strip().decode().lower()
+        except Exception:
+            pass
+        return None
+
+
 is_zarch = re.match(r"^(s390x)", machine, re.IGNORECASE)
@@ -389,0 +421,0 @@ @pytest.mark.skipif(not is_linux or not is_zarch,

numpy/_core/tests/test_cython.py

@@ -353,1 +353,16 @@ import os
     assert checks.check_npy_uintp_type_enum()
+
+
[e-mail](
+    sys.version_info < (3, 14),
+    reason="Tests behavior that happens on Python 3.14 and newer"
+)
[e-mail](
+    sysconfig.get_platform() == 'win-arm64',
+    reason='no checks module on win-arm64'
+)
+def test_resize_refcheck(install_temp):
+    import checks
+    msg = "It is possible that this is a false positive."
+    with pytest.raises(ValueError, match=msg):
+        checks.resize_refcheck_test()

numpy/linalg/tests/test_regression.py

@@ -10,2 +10,3 @@ """ Test functions for linalg module
     assert_,
+    assert_almost_equal,
     assert_array_almost_equal,
@@ -184,1 +185,8 @@ assert_array_equal,
                     "probably due to OpenBLAS threading issues")
+
+    def test_norm_linux_arm(self):
+        # gh-30816
+        a = np.arange(20000) / 50000
+        b = a + 1j * np.roll(np.flip(a), 12345)
+        norm = np.linalg.norm(b)
+        assert_almost_equal(norm, 46.18628948075393)

numpy/version.py

@@ -5,8 +5,8 @@
 """
-version = "2.4.3"
+version = "2.4.4"
 __version__ = version
 full_version = version
 
-git_revision = "8bcb2e72e67c343e55165e6064fe6a9dc011e954"
+git_revision = "be93fe2960dbf49b4647f5783c66d967fb2c65b5"
 release = 'dev' not in version and '+' not in version
 short_version = version.split("+")[0]

PKG-INFO

 Metadata-Version: 2.4
 Name: numpy
-Version: 2.4.3
+Version: 2.4.4
 Summary: Fundamental package for array computing in Python
@@ -5,0 +5,0 @@ Author: Travis E. Oliphant et al.

pyproject.toml

@@ -10,3 +10,3 @@ [build-system]
 name = "numpy"
-version = "2.4.3"
+version = "2.4.4"
 description = "Fundamental package for array computing in Python"
@@ -13,0 +13,0 @@ authors = [{name = "Travis E. Oliphant et al."}]

requirements/ci_requirements.txt

 spin
 # Keep this in sync with ci32_requirements.txt
-scipy-openblas32==0.3.31.126.1
-scipy-openblas64==0.3.31.126.1
+scipy-openblas32==0.3.31.188.0
+scipy-openblas64==0.3.31.188.0

requirements/ci32_requirements.txt

 spin
 # Keep this in sync with ci_requirements.txt
-scipy-openblas32==0.3.31.126.1
+scipy-openblas32==0.3.31.188.0

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