dev-python/bottleneck: Backport upstream numpy-2 fixes

Signed-off-by: Michał Górny <mgorny@gentoo.org>

2 files changed, 122 insertions, 0 deletions

diff --git a/dev-python/bottleneck/bottleneck-1.3.8-r1.ebuild b/dev-python/bottleneck/bottleneck-1.3.8-r1.ebuild
new file mode 100644
index 000000000000..5be4257cec27
--- /dev/null
+++ b/dev-python/bottleneck/bottleneck-1.3.8-r1.ebuild
@@ -0,0 +1,58 @@
+# Copyright 1999-2024 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_EXT=1
+DISTUTILS_USE_PEP517=setuptools
+PYPI_NO_NORMALIZE=1
+PYPI_PN=${PN^}
+PYTHON_COMPAT=( python3_{10..12} pypy3 )
+
+inherit distutils-r1 pypi
+
+DESCRIPTION="Fast NumPy array functions written in C"
+HOMEPAGE="
+	https://github.com/pydata/bottleneck/
+	https://pypi.org/project/Bottleneck/
+"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~alpha ~amd64 ~arm ~arm64 ~hppa ~ia64 ~loong ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~amd64-linux ~x86-linux ~arm64-macos ~x64-macos"
+
+DEPEND="
+	>=dev-python/numpy-1.9.1:=[${PYTHON_USEDEP}]
+"
+RDEPEND="
+	${DEPEND}
+"
+
+distutils_enable_tests pytest
+
+PATCHES=(
+	# https://github.com/pydata/bottleneck/pull/450
+	"${FILESDIR}/${P}-numpy-2.patch"
+)
+
+src_prepare() {
+	# don't overwrites user's optimization level
+	sed -e '/extra_compile_args=\["-O2"\]/d' -i setup.py || die
+
+	distutils-r1_src_prepare
+}
+
+python_test() {
+	local EPYTEST_DESELECT=()
+	case ${EPYTHON} in
+		pypy3)
+			EPYTEST_DESELECT+=(
+				# GC assumptions?
+				tests/memory_test.py::test_memory_leak
+			)
+			;;
+	esac
+
+	rm -rf bottleneck || die
+	epytest --pyargs bottleneck
+}
diff --git a/dev-python/bottleneck/files/bottleneck-1.3.8-numpy-2.patch b/dev-python/bottleneck/files/bottleneck-1.3.8-numpy-2.patch
new file mode 100644
index 000000000000..153b984f1fe7
--- /dev/null
+++ b/dev-python/bottleneck/files/bottleneck-1.3.8-numpy-2.patch
@@ -0,0 +1,64 @@
+From 787d6daa292ef013efb2ce93f100079457330363 Mon Sep 17 00:00:00 2001
+From: Ben Greiner <code@bnavigator.de>
+Date: Thu, 9 May 2024 20:27:16 +0200
+Subject: [PATCH 3/3] Replace np.array(a, copy=False) with np.asarray(a)
+
+See https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword
+---
+ bottleneck/slow/move.py           | 8 ++++----
+ bottleneck/slow/nonreduce_axis.py | 2 +-
+ 2 files changed, 5 insertions(+), 5 deletions(-)
+
+diff --git a/bottleneck/slow/move.py b/bottleneck/slow/move.py
+index 0aa06f141..76a54a24e 100644
+--- a/bottleneck/slow/move.py
++++ b/bottleneck/slow/move.py
+@@ -52,7 +52,7 @@ def move_argmin(a, window, min_count=None, axis=-1):
+     "Slow move_argmin for unaccelerated dtype"
+ 
+     def argmin(a, axis):
+-        a = np.array(a, copy=False)
++        a = np.asarray(a)
+         flip = [slice(None)] * a.ndim
+         flip[axis] = slice(None, None, -1)
+         a = a[tuple(flip)]  # if tie, pick index of rightmost tie
+@@ -78,7 +78,7 @@ def move_argmax(a, window, min_count=None, axis=-1):
+     "Slow move_argmax for unaccelerated dtype"
+ 
+     def argmax(a, axis):
+-        a = np.array(a, copy=False)
++        a = np.asarray(a)
+         flip = [slice(None)] * a.ndim
+         flip[axis] = slice(None, None, -1)
+         a = a[tuple(flip)]  # if tie, pick index of rightmost tie
+@@ -115,7 +115,7 @@ def move_rank(a, window, min_count=None, axis=-1):
+ 
+ def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
+     "Generic moving window function implemented with a python loop."
+-    a = np.array(a, copy=False)
++    a = np.asarray(a)
+     if min_count is None:
+         mc = window
+     else:
+@@ -226,7 +226,7 @@ def lastrank(a, axis=-1):
+     -0.5
+ 
+     """
+-    a = np.array(a, copy=False)
++    a = np.asarray(a)
+     ndim = a.ndim
+     if a.size == 0:
+         # At least one dimension has length 0
+diff --git a/bottleneck/slow/nonreduce_axis.py b/bottleneck/slow/nonreduce_axis.py
+index f09dfa739..1dd67529a 100644
+--- a/bottleneck/slow/nonreduce_axis.py
++++ b/bottleneck/slow/nonreduce_axis.py
+@@ -15,7 +15,7 @@ def nanrankdata(a, axis=None):
+ 
+ 
+ def _rank(func1d, a, axis):
+-    a = np.array(a, copy=False)
++    a = np.asarray(a)
+     if axis is None:
+         a = a.ravel()
+         axis = 0