numpy - pypi Package Compare versions

Comparing version 2.4.1 to 2.4.2

doc/changelog/2.4.2-changelog.rst

+
+Contributors
+============
+
+A total of 9 people contributed to this release.  People with a "+" by their
+names contributed a patch for the first time.
+
+* Charles Harris
+* Daniel Tang +
+* Joren Hammudoglu
+* Kumar Aditya
+* Matti Picus
+* Nathan Goldbaum
+* Ralf Gommers
+* Sebastian Berg
+* Vikram Kumar +
+
+Pull requests merged
+====================
+
+A total of 12 pull requests were merged for this release.
+
+* `#30629 <https://github.com/numpy/numpy/pull/30629>`__: MAINT: Prepare 2.4.x for further development
+* `#30636 <https://github.com/numpy/numpy/pull/30636>`__: TYP: ``arange``\ : accept datetime strings
+* `#30657 <https://github.com/numpy/numpy/pull/30657>`__: MAINT: avoid possible race condition by not touching ``os.environ``...
+* `#30700 <https://github.com/numpy/numpy/pull/30700>`__: BUG: validate contraction axes in tensordot (#30521)
+* `#30701 <https://github.com/numpy/numpy/pull/30701>`__: DOC: __array_namespace__info__: set_module not __module__ (#30679)
+* `#30702 <https://github.com/numpy/numpy/pull/30702>`__: BUG: fix free-threaded PyObject layout in replace_scalar_type_names...
+* `#30703 <https://github.com/numpy/numpy/pull/30703>`__: TST: fix limited API example in tests for latest Cython
+* `#30709 <https://github.com/numpy/numpy/pull/30709>`__: BUG: Fix some bugs found via valgrind (#30680)
+* `#30712 <https://github.com/numpy/numpy/pull/30712>`__: MAINT: replace ob_type access with Py_TYPE in PyArray_CheckExact
+* `#30713 <https://github.com/numpy/numpy/pull/30713>`__: BUG: Fixup the quantile promotion fixup
+* `#30736 <https://github.com/numpy/numpy/pull/30736>`__: BUG: fix thread safety of ``array_getbuffer`` (#30667)
+* `#30737 <https://github.com/numpy/numpy/pull/30737>`__: backport scipy-openblas version change
+

doc/source/release/2.4.2-notes.rst

+.. currentmodule:: numpy
+
+=========================
+NumPy 2.4.2 Release Notes
+=========================
+
+The NumPy 2.4.2 is a patch release that fixes bugs discovered after the
+2.4.1 release. Highlights are:
+
+- Fixes memory leaks
+- Updates OpenBLAS to fix hangs
+
+This release supports Python versions 3.11-3.14
+
+
+Contributors
+============
+
+A total of 9 people contributed to this release.  People with a "+" by their
+names contributed a patch for the first time.
+
+* Charles Harris
+* Daniel Tang +
+* Joren Hammudoglu
+* Kumar Aditya
+* Matti Picus
+* Nathan Goldbaum
+* Ralf Gommers
+* Sebastian Berg
+* Vikram Kumar +
+
+
+Pull requests merged
+====================
+
+A total of 12 pull requests were merged for this release.
+
+* `#30629 <https://github.com/numpy/numpy/pull/30629>`__: MAINT: Prepare 2.4.x for further development
+* `#30636 <https://github.com/numpy/numpy/pull/30636>`__: TYP: ``arange``\ : accept datetime strings
+* `#30657 <https://github.com/numpy/numpy/pull/30657>`__: MAINT: avoid possible race condition by not touching ``os.environ``...
+* `#30700 <https://github.com/numpy/numpy/pull/30700>`__: BUG: validate contraction axes in tensordot (#30521)
+* `#30701 <https://github.com/numpy/numpy/pull/30701>`__: DOC: __array_namespace__info__: set_module not __module__ (#30679)
+* `#30702 <https://github.com/numpy/numpy/pull/30702>`__: BUG: fix free-threaded PyObject layout in replace_scalar_type_names...
+* `#30703 <https://github.com/numpy/numpy/pull/30703>`__: TST: fix limited API example in tests for latest Cython
+* `#30709 <https://github.com/numpy/numpy/pull/30709>`__: BUG: Fix some bugs found via valgrind (#30680)
+* `#30712 <https://github.com/numpy/numpy/pull/30712>`__: MAINT: replace ob_type access with Py_TYPE in PyArray_CheckExact
+* `#30713 <https://github.com/numpy/numpy/pull/30713>`__: BUG: Fixup the quantile promotion fixup
+* `#30736 <https://github.com/numpy/numpy/pull/30736>`__: BUG: fix thread safety of ``array_getbuffer`` (#30667)
+* `#30737 <https://github.com/numpy/numpy/pull/30737>`__: backport scipy-openblas version change
+

doc/source/conf.py

@@ -5,2 +5,3 @@ import importlib
 import sys
+import sysconfig
 from datetime import datetime
@@ -21,2 +22,5 @@
 
+FREE_THREADED_BUILD = sysconfig.get_config_var('Py_GIL_DISABLED')
+
+
 def replace_scalar_type_names():
@@ -35,6 +39,15 @@ """ Rename numpy types to use the canonical names to make sphinx behave """
 
-    PyObject._fields_ = [
-        ('ob_refcnt', Py_ssize_t),
-        ('ob_type', ctypes.POINTER(PyTypeObject)),
-    ]
+    if not FREE_THREADED_BUILD:
+        PyObject._fields_ = [
+            ('ob_refcnt', Py_ssize_t),
+            ('ob_type', ctypes.POINTER(PyTypeObject)),
+        ]
+    else:
+        # As of Python 3.14
+        PyObject._fields_ = [
+            ('ob_refcnt_full', ctypes.c_int64),
+            # an anonymous struct that we don't try to model
+            ('__private', ctypes.c_int64),
+            ('ob_type', ctypes.POINTER(PyTypeObject)),
+        ]
 
@@ -41,0 +54,0 @@ PyTypeObject._fields_ = [

doc/source/release.rst

@@ -8,2 +8,3 @@ *************
 
+    2.4.2 <release/2.4.2-notes>
     2.4.1 <release/2.4.1-notes>
@@ -10,0 +11,0 @@ 2.4.0 <release/2.4.0-notes>

numpy/_array_api_info.py

@@ -27,4 +27,6 @@ """
 )
+from numpy._utils import set_module
 
 
+@set_module('numpy')
 class __array_namespace_info__:
@@ -62,4 +64,2 @@ """
 
-    __module__ = 'numpy'
-
     def capabilities(self):
@@ -66,0 +66,0 @@ """

numpy/_core/__init__.py

@@ -16,5 +16,7 @@ """
 env_added = []
-for envkey in ['OPENBLAS_MAIN_FREE', 'GOTOBLAS_MAIN_FREE']:
+for envkey in ['OPENBLAS_MAIN_FREE']:
     if envkey not in os.environ:
-        os.environ[envkey] = '1'
+        # Note: using `putenv` (and `unsetenv` further down) instead of updating
+        # `os.environ` on purpose to avoid a race condition, see gh-30627.
+        os.putenv(envkey, '1')
         env_added.append(envkey)
@@ -87,3 +89,3 @@
     for envkey in env_added:
-        del os.environ[envkey]
+        os.unsetenv(envkey)
 del envkey
@@ -90,0 +92,0 @@ del env_added

numpy/_core/include/numpy/ndarrayobject.h

@@ -35,3 +35,3 @@ /*
 #define PyArray_Check(op) PyObject_TypeCheck(op, &PyArray_Type)
-#define PyArray_CheckExact(op) (((PyObject*)(op))->ob_type == &PyArray_Type)
+#define PyArray_CheckExact(op) (Py_TYPE((PyObject*)(op)) == &PyArray_Type)
 
@@ -38,0 +38,0 @@ #define PyArray_HasArrayInterfaceType(op, type, context, out)                 \

numpy/_core/multiarray.pyi

@@ -75,2 +75,3 @@ # TODO: Sort out any and all missing functions in this namespace
     _ArrayLikeUInt_co,
+    _DT64Codes,
     _DTypeLike,
@@ -1045,7 +1046,18 @@ _FloatLike_co,
 ) -> _Array1D[np.datetime64[Incomplete]]: ...
+@overload  # (str, str, timedelta-like, dtype=dt64-like) (requires both start and stop)
+def arange(
+    start_or_stop: str,
+    /,
+    stop: str,
+    step: _TD64Like_co | None = 1,
+    *,
+    dtype: _DTypeLike[np.datetime64] | _DT64Codes,
+    device: L["cpu"] | None = None,
+    like: _SupportsArrayFunc | None = None,
+) -> _Array1D[np.datetime64[Incomplete]]: ...
 @overload  # dtype=<unknown>
 def arange(
-    start_or_stop: _ArangeScalar | float,
+    start_or_stop: _ArangeScalar | float | str,
     /,
-    stop: _ArangeScalar | float | None = None,
+    stop: _ArangeScalar | float | str | None = None,
     step: _ArangeScalar | float | None = 1,
@@ -1052,0 +1064,0 @@ *,

numpy/_core/src/multiarray/buffer.c

@@ -796,4 +796,6 @@ #define NPY_NO_DEPRECATED_API NPY_API_VERSION
     /* Fill in information (and add it to _buffer_info if necessary) */
+    Py_BEGIN_CRITICAL_SECTION(self);
     info = _buffer_get_info(
             &((PyArrayObject_fields *)self)->_buffer_info, obj, flags);
+    Py_END_CRITICAL_SECTION();
     if (info == NULL) {
@@ -884,3 +886,6 @@ goto fail;
      */
-    _buffer_info_t *info = _buffer_get_info(&scalar->_buffer_info, self, flags);
+    _buffer_info_t *info = NULL;
+    Py_BEGIN_CRITICAL_SECTION(scalar);
+    info = _buffer_get_info(&scalar->_buffer_info, self, flags);
+    Py_END_CRITICAL_SECTION();
     if (info == NULL) {
@@ -887,0 +892,0 @@ Py_DECREF(self);

numpy/_core/src/multiarray/refcount.c

@@ -127,3 +127,3 @@ /*
     int aligned = PyArray_ISALIGNED(arr);
-    if (PyArray_ISCONTIGUOUS(arr)) {
+    if (PyArray_ISCONTIGUOUS(arr) || PyArray_IS_F_CONTIGUOUS(arr)) {
         return PyArray_ClearBuffer(
@@ -156,2 +156,3 @@ descr, PyArray_BYTES(arr), descr->elsize,
                 data_it, inner_shape, inner_stride, clear_info.auxdata) < 0) {
+            NPY_traverse_info_xfree(&clear_info);
             return -1;
@@ -161,2 +162,3 @@ }
                             shape_it, data_it, strides_it);
+    NPY_traverse_info_xfree(&clear_info);
     return 0;
@@ -163,0 +165,0 @@ }

numpy/_core/src/multiarray/unique.cpp

@@ -511,5 +511,7 @@ #define NPY_NO_DEPRECATED_API NPY_API_VERSION
         if (unique_funcs.find(type) == unique_funcs.end()) {
-            Py_RETURN_NOTIMPLEMENTED;
+            result = Py_NewRef(Py_NotImplemented);
         }
-        result = unique_funcs[type](arr, equal_nan);
+        else {
+            result = unique_funcs[type](arr, equal_nan);
+        }
     }
@@ -516,0 +518,0 @@ catch (const std::bad_alloc &e) {

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

@@ -251,2 +251,3 @@ #cython: language_level=3
         cnp.NpyIter_GetIterNext(cit, NULL)
+    cnp.NpyIter_Deallocate(cit)
     return 1
@@ -253,0 +254,0 @@

numpy/_core/tests/examples/limited_api/limited_api1.c

@@ -1,3 +0,1 @@
-#define Py_LIMITED_API 0x03060000
-
 #include <Python.h>
@@ -4,0 +2,0 @@ #include <numpy/arrayobject.h>

numpy/_core/tests/test_arrayobject.py

@@ -0,5 +1,7 @@
+import sys
+
 import pytest
 
 import numpy as np
-from numpy.testing import assert_array_equal
+from numpy.testing import HAS_REFCOUNT, assert_array_equal
 
@@ -76,1 +78,19 @@
     assert type(arr.__array_wrap__(arr1d, None, True)) is type(arr)
+
+
[e-mail](not HAS_REFCOUNT, reason="Python lacks refcounts")
+def test_cleanup_with_refs_non_contig():
+    # Regression test, leaked the dtype (but also good for rest)
+    dtype = np.dtype("O,i")
+    obj = object()
+    expected_ref_dtype = sys.getrefcount(dtype)
+    expected_ref_obj = sys.getrefcount(obj)
+    proto = np.full((3, 4, 5, 6, 7), np.array((obj, 2), dtype=dtype))
+    # Give array a non-trivial order to exercise more cleanup paths.
+    arr = proto.transpose((2, 0, 3, 1, 4)).copy("K")
+    del proto, arr
+
+    actual_ref_dtype = sys.getrefcount(dtype)
+    actual_ref_obj = sys.getrefcount(obj)
+    assert actual_ref_dtype == expected_ref_dtype
+    assert actual_ref_obj == actual_ref_dtype

numpy/_core/tests/test_multithreading.py

 import concurrent.futures
+import sys
 import threading
@@ -378,1 +379,29 @@
                 b.abort()
+
[e-mail](sys.version_info < (3, 12), reason="Python >= 3.12 required")
+def test_array__buffer__thread_safety():
+    import inspect
+    arr = np.arange(1000)
+    flags = [inspect.BufferFlags.STRIDED, inspect.BufferFlags.READ]
+
+    def func(b):
+        b.wait()
+        for i in range(100):
+            arr.__buffer__(flags[i % 2])
+
+    run_threaded(func, max_workers=8, pass_barrier=True)
+
[e-mail](sys.version_info < (3, 12), reason="Python >= 3.12 required")
+def test_void_dtype__buffer__thread_safety():
+    import inspect
+    dt = np.dtype([('name', np.str_, 16), ('grades', np.float64, (2,))])
+    x = np.array(('ndarray_scalar', (1.2, 3.0)), dtype=dt)[()]
+    assert isinstance(x, np.void)
+    flags = [inspect.BufferFlags.STRIDES, inspect.BufferFlags.READ]
+
+    def func(b):
+        b.wait()
+        for i in range(100):
+            x.__buffer__(flags[i % 2])
+
+    run_threaded(func, max_workers=8, pass_barrier=True)

numpy/typing/tests/data/reveal/array_constructors.pyi

@@ -135,2 +135,4 @@ import sys
 assert_type(np.arange(0, 10, dtype="f8"), np.ndarray[tuple[int], np.dtype])
+# https://github.com/numpy/numpy/issues/30628
+assert_type(np.arange("2025-12-20", "2025-12-23", dtype="datetime64[D]"), np.ndarray[tuple[int], np.dtype[np.datetime64[Any]]])
 
@@ -137,0 +139,0 @@ assert_type(np.require(A), npt.NDArray[np.float64])

numpy/version.py

@@ -5,8 +5,8 @@
 """
-version = "2.4.1"
+version = "2.4.2"
 __version__ = version
 full_version = version
 
-git_revision = "d24bb7f48d3b0e3471c68f1309c130d0b65ee72a"
+git_revision = "c81c49f77451340651a751e76bca607d85e4fd55"
 release = 'dev' not in version and '+' not in version
 short_version = version.split("+")[0]

PKG-INFO

 Metadata-Version: 2.4
 Name: numpy
-Version: 2.4.1
+Version: 2.4.2
 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 = "2.4.1"
+version = "2.4.2"
 description = "Fundamental package for array computing in Python"
@@ -13,0 +13,0 @@ authors = [{name = "Travis E. Oliphant et al."}]

requirements/ci_requirements.txt

@@ -1,4 +0,4 @@
-spin==0.15
+spin
 # Keep this in sync with ci32_requirements.txt
-scipy-openblas32==0.3.30.0.7
-scipy-openblas64==0.3.30.0.7
+scipy-openblas32==0.3.31.22.0
+scipy-openblas64==0.3.31.22.0

requirements/ci32_requirements.txt

@@ -1,3 +0,3 @@
-spin==0.15
+spin
 # Keep this in sync with ci_requirements.txt
-scipy-openblas32==0.3.30.0.7
+scipy-openblas32==0.3.31.22.0

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