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locks; strict;
comment	@# @;


1.3
date	2026.06.28.15.40.18;	author wiz;	state dead;
branches;
next	1.2;
commitid	Smom2RBzpbB21ALG;

1.2
date	2026.01.08.09.27.06;	author wiz;	state Exp;
branches;
next	1.1;
commitid	k8EmALeFomPNrzpG;

1.1
date	2022.11.20.19.03.47;	author adam;	state Exp;
branches;
next	;
commitid	JTTHni90X7jrrt2E;


desc
@@


1.3
log
@py-numpy: update to 2.5.0.

Numpy 2.5.0 is a transitional release. It drops support for Python 3.11,
marking the end of distutils, and expires a large number of deprecations made
in the 2.0.x release. It also improves free threading and brings sorting into
compliance with the array-api standard with the addition of descending sorts.
There is also a fair amount of preparation for Python 3.15, which will be
supported starting with the first rc.

Highlights

    Distutils has been removed.
    Many expired deprecations.
    Many new deprecations.
    Many static typing improvements.
    Improved support for free threading.
    Support for descending sorts.
@
text
@$NetBSD: patch-numpy_distutils_log.py,v 1.2 2026/01/08 09:27:06 wiz Exp $

Backport distutils.log.Log from setuptools < 65.6.0.

--- numpy/distutils/log.py.orig	2025-12-20 07:38:18.000000000 +0000
+++ numpy/distutils/log.py
@@@@ -1,8 +1,8 @@@@ from distutils.log import *  # noqa: F403
 # Colored log
 import sys
 from distutils.log import *  # noqa: F403
-from distutils.log import Log as old_Log
 from distutils.log import _global_log
+from logging import Logger
 
 from numpy.distutils.misc_util import (red_text, default_text, cyan_text,
         green_text, is_sequence, is_string)
@@@@ -16,10 +16,51 @@@@ def _fix_args(args,flag=1):
     return args
 
 
-class Log(old_Log):
+class Log(Logger):
+    def __init__(self, threshold=WARN):
+        self.threshold = threshold
+
     def _log(self, level, msg, args):
+        if level not in (DEBUG, INFO, WARN, ERROR, FATAL):
+            raise ValueError('%s wrong log level' % str(level))
+
         if level >= self.threshold:
             if args:
+                msg = msg % args
+            if level in (WARN, ERROR, FATAL):
+                stream = sys.stderr
+            else:
+                stream = sys.stdout
+            try:
+                stream.write('%s\n' % msg)
+            except UnicodeEncodeError:
+                # emulate backslashreplace error handler
+                encoding = stream.encoding
+                msg = msg.encode(encoding, "backslashreplace").decode(encoding)
+                stream.write('%s\n' % msg)
+            stream.flush()
+
+    def log(self, level, msg, *args):
+        self._log(level, msg, args)
+
+    def debug(self, msg, *args):
+       self._log(DEBUG, msg, args)
+
+    def info(self, msg, *args):
+        self._log(INFO, msg, args)
+
+    def warn(self, msg, *args):
+        self._log(WARN, msg, args)
+
+    def error(self, msg, *args):
+        self._log(ERROR, msg, args)
+
+    def fatal(self, msg, *args):
+        self._log(FATAL, msg, args)
+
+    def _log(self, level, msg, args):
+        if level >= self.threshold:
+            if args:
                 msg = msg % _fix_args(args)
             if 0:
                 if msg.startswith('copying ') and msg.find(' -> ') != -1:
@@@@ -44,6 +85,7 @@@@ _global_log.__class__ = Log
 
 
 _global_log.__class__ = Log
+_global_log.threshold = WARN
 
 good = _global_log.good
 
@


1.2
log
@py-numpy: update to 2.4.0.

NumPy 2.4.0 released

20 Dec, 2025 – The NumPy 2.4.0 release continues the work to improve
free threaded Python support, user dtypes implementation, and
annotations. There are many expired deprecations and bug fixes as
well. Highlights are:

    Many annotation improvements. In particular, runtime signature introspection.
    New casting kwarg 'same_value' for casting by value.
    New PyUFunc_AddLoopsFromSpec function that can be used to add user sort loops using the ArrayMethod API.
    New __numpy_dtype__ protocol.

This release supports Python versions 3.11-3.14
@
text
@d1 1
a1 1
$NetBSD: patch-numpy_distutils_log.py,v 1.1 2022/11/20 19:03:47 adam Exp $
@


1.1
log
@py-numpy: updated to 1.23.5

1.23.5
TST, MAINT: Replace most setup with setup_method (also teardown)
MAINT, CI: Switch to cygwin/cygwin-install-action@@v2
TST: Make test_partial_iteration_cleanup robust but require leak...
MAINT: Ensure graceful handling of large header sizes
TYP: Spelling alignment for array flag literal
BUG: Fix bounds checking for ``random.logseries``
DEV: Update GH actions and Dockerfile for Gitpod
CI: Only fetch in actions/checkout
BUG: Decrement ref count in gentype_reduce if allocated memory...
BUG: Histogramdd breaks on big arrays in Windows
@
text
@d1 1
a1 1
$NetBSD$
d5 1
a5 1
--- numpy/distutils/log.py.orig	2022-11-20 17:58:45.000000000 +0000
d7 1
a7 1
@@@@ -1,8 +1,8 @@@@
d17 1
a17 1
@@@@ -16,7 +16,48 @@@@ def _fix_args(args,flag=1):
d26 1
a26 1
+    def _log(self, level, msg, args):
d30 2
a31 2
+        if level >= self.threshold:
+            if args:
d64 7
a70 4
     def _log(self, level, msg, args):
         if level >= self.threshold:
             if args:
@@@@ -44,6 +85,7 @@@@ class Log(old_Log):
@