Remove Python3.9 specific mycroft patches
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417c07ba75
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0209d97216
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@ -1,41 +0,0 @@
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From 002b16ba1f217a0b57e2d89ef51bda0fd94ab4f4 Mon Sep 17 00:00:00 2001
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From: =?UTF-8?q?=C3=85ke=20Forslund?= <ake.forslund@gmail.com>
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Date: Sat, 6 Mar 2021 11:11:14 +0100
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Subject: [PATCH] Replace multiprocessing with concurrent.futures
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This uses the ThreadPoolExecutor from concurrent.futures instead of
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multiprocessings threadpool since the threadpool in multiprocessing
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can't safely be used in a multithreaded context in Python 3.9+
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---
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msm/mycroft_skills_manager.py | 6 +++---
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1 file changed, 3 insertions(+), 3 deletions(-)
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diff --git a/msm/mycroft_skills_manager.py b/msm/mycroft_skills_manager.py
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index 82500b4..a1ae41f 100644
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--- a/msm/mycroft_skills_manager.py
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+++ b/msm/mycroft_skills_manager.py
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@@ -23,12 +23,12 @@
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MSM can be used on the command line but is also used by Mycroft core daemons.
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"""
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+from concurrent.futures import ThreadPoolExecutor
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import time
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import logging
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import shutil
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from functools import wraps
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from glob import glob
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-from multiprocessing.pool import ThreadPool
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from os import path
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from typing import Dict, List
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@@ -487,8 +487,8 @@ def run_item(skill):
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func.__name__, skill.name
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))
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- with ThreadPool(max_threads) as tp:
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- return tp.map(run_item, skills)
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+ with ThreadPoolExecutor(max_threads) as executor:
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+ return executor.map(run_item, skills)
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@save_device_skill_state
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def install_defaults(self):
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@ -1,38 +0,0 @@
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From 9761899ea4d897b2c878d9a7ac300a611a0e4609 Mon Sep 17 00:00:00 2001
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From: j1nx <p.steenbergen@j1nx.nl>
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Date: Mon, 5 Apr 2021 17:05:47 +0200
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Subject: [PATCH 1/1] Workaround of Python3.9+ multiprocessing issues
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---
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mycroft/util/process_utils.py | 15 +++++++++++++++
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1 file changed, 15 insertions(+)
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diff --git a/mycroft/util/process_utils.py b/mycroft/util/process_utils.py
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index 81f5c90f59..d272b42729 100644
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--- a/mycroft/util/process_utils.py
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+++ b/mycroft/util/process_utils.py
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@@ -10,6 +10,21 @@ from time import sleep
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from .log import LOG
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+def initialize_mp_context():
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+ """Handle import behaviour changes in python 3.9+
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+ Pre-import colliding multiprocessing parts.
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+ This should be considered a workaround and not a solution of the issue.
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+ """
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+ LOG.info('Preloading multiprocessing internals...')
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+ import multiprocessing.popen_spawn_posix # noqa
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+ import multiprocessing.queues # noqa
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+ import multiprocessing.resource_tracker # noqa
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+ import multiprocessing.synchronize # noqa
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+
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+
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+initialize_mp_context()
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+
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+
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def reset_sigint_handler():
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"""Reset the sigint handler to the default.
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--
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2.20.1
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@ -1,99 +0,0 @@
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From 4841ba2166107b14f2206ea4ae0cf7c68c62be1b Mon Sep 17 00:00:00 2001
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From: =?UTF-8?q?=C3=85ke=20Forslund?= <ake.forslund@gmail.com>
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Date: Sat, 6 Mar 2021 11:30:05 +0100
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Subject: [PATCH 1/2] Replace multiprocessing with concurrent.futures
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Multiprocessing pools can't safely be used in a threaded context in
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Python 3.9+. This replaces the multiprocessing Pool with a
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ProcessPoolExecutor from concurrent.futures.
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Handle shutdown implicitly
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---
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padatious/training_manager.py | 15 +++++++++------
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1 file changed, 9 insertions(+), 6 deletions(-)
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diff --git a/padatious/training_manager.py b/padatious/training_manager.py
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index 3bef33c..61f2edd 100644
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--- a/padatious/training_manager.py
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+++ b/padatious/training_manager.py
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@@ -11,9 +11,9 @@
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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-import multiprocessing as mp
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+from concurrent.futures import ProcessPoolExecutor
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+from concurrent.futures import TimeoutError
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from functools import partial
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-from multiprocessing.context import TimeoutError
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from os.path import join, isfile, isdir, splitext
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import padatious
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@@ -95,15 +95,18 @@ def train(self, debug=True, single_thread=False, timeout=20):
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train(i)
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else:
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# Train in multiple processes to disk
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- pool = mp.Pool()
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+ pool = ProcessPoolExecutor()
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try:
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- pool.map_async(train, self.objects_to_train).get(timeout)
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+ _ = list(pool.map(train,
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+ self.objects_to_train,
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+ timeout=timeout))
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+
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except TimeoutError:
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if debug:
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print('Some objects timed out while training')
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finally:
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- pool.close()
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- pool.join()
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+ pass
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+ # No explicit shutdown, let the it complete in the background.
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# Load saved objects from disk
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for obj in self.objects_to_train:
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From f56b2944d1d470e28b089e814cdaab388619926e Mon Sep 17 00:00:00 2001
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From: =?UTF-8?q?=C3=85ke=20Forslund?= <ake.forslund@gmail.com>
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Date: Sat, 3 Apr 2021 11:15:37 +0200
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Subject: [PATCH 2/2] Add proper subprocess timeout
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---
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padatious/intent_container.py | 18 +++++++++++-------
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1 file changed, 11 insertions(+), 7 deletions(-)
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diff --git a/padatious/intent_container.py b/padatious/intent_container.py
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index b020bf7..8a5544d 100644
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--- a/padatious/intent_container.py
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+++ b/padatious/intent_container.py
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@@ -18,7 +18,7 @@
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import padaos
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import sys
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from functools import wraps
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-from subprocess import call, check_output
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+from subprocess import call, check_output, TimeoutExpired
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from threading import Thread
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from padatious.match_data import MatchData
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@@ -261,12 +261,16 @@ def train_subprocess(self, *args, **kwargs):
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Returns:
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bool: True for success, False if timed out
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"""
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- ret = call([
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- sys.executable, '-m', 'padatious', 'train', self.cache_dir,
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- '-d', json.dumps(self.serialized_args),
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- '-a', json.dumps(args),
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- '-k', json.dumps(kwargs),
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- ])
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+ try:
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+ ret = call([
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+ sys.executable, '-m', 'padatious', 'train', self.cache_dir,
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+ '-d', json.dumps(self.serialized_args),
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+ '-a', json.dumps(args),
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+ '-k', json.dumps(kwargs),
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+ ], timeout=kwargs.get('timeout'))
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+ except TimeoutExpired:
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+ ret = 10 # Treat process timeout as internal timeout
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+
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if ret == 2:
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raise TypeError(
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'Invalid train arguments: {} {}'.format(
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