244 lines
7.3 KiB
Python
244 lines
7.3 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2015, 2016 OpenMarket Ltd
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# Copyright 2017 New Vector Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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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 logging
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import re
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from six import string_types
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from synapse.types import UserID
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from synapse.util.caches import register_cache
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from synapse.util.caches.lrucache import LruCache
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logger = logging.getLogger(__name__)
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GLOB_REGEX = re.compile(r"\\\[(\\\!|)(.*)\\\]")
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IS_GLOB = re.compile(r"[\?\*\[\]]")
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INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
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def _room_member_count(ev, condition, room_member_count):
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return _test_ineq_condition(condition, room_member_count)
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def _sender_notification_permission(ev, condition, sender_power_level, power_levels):
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notif_level_key = condition.get("key")
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if notif_level_key is None:
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return False
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notif_levels = power_levels.get("notifications", {})
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room_notif_level = notif_levels.get(notif_level_key, 50)
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return sender_power_level >= room_notif_level
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def _test_ineq_condition(condition, number):
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if "is" not in condition:
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return False
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m = INEQUALITY_EXPR.match(condition["is"])
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if not m:
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return False
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ineq = m.group(1)
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rhs = m.group(2)
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if not rhs.isdigit():
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return False
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rhs = int(rhs)
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if ineq == "" or ineq == "==":
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return number == rhs
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elif ineq == "<":
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return number < rhs
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elif ineq == ">":
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return number > rhs
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elif ineq == ">=":
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return number >= rhs
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elif ineq == "<=":
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return number <= rhs
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else:
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return False
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def tweaks_for_actions(actions):
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tweaks = {}
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for a in actions:
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if not isinstance(a, dict):
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continue
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if "set_tweak" in a and "value" in a:
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tweaks[a["set_tweak"]] = a["value"]
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return tweaks
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class PushRuleEvaluatorForEvent(object):
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def __init__(self, event, room_member_count, sender_power_level, power_levels):
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self._event = event
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self._room_member_count = room_member_count
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self._sender_power_level = sender_power_level
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self._power_levels = power_levels
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# Maps strings of e.g. 'content.body' -> event["content"]["body"]
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self._value_cache = _flatten_dict(event)
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def matches(self, condition, user_id, display_name):
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if condition["kind"] == "event_match":
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return self._event_match(condition, user_id)
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elif condition["kind"] == "contains_display_name":
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return self._contains_display_name(display_name)
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elif condition["kind"] == "room_member_count":
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return _room_member_count(self._event, condition, self._room_member_count)
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elif condition["kind"] == "sender_notification_permission":
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return _sender_notification_permission(
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self._event, condition, self._sender_power_level, self._power_levels
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)
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else:
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return True
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def _event_match(self, condition, user_id):
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pattern = condition.get("pattern", None)
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if not pattern:
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pattern_type = condition.get("pattern_type", None)
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if pattern_type == "user_id":
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pattern = user_id
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elif pattern_type == "user_localpart":
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pattern = UserID.from_string(user_id).localpart
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if not pattern:
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logger.warning("event_match condition with no pattern")
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return False
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# XXX: optimisation: cache our pattern regexps
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if condition["key"] == "content.body":
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body = self._event.content.get("body", None)
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if not body:
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return False
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return _glob_matches(pattern, body, word_boundary=True)
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else:
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haystack = self._get_value(condition["key"])
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if haystack is None:
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return False
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return _glob_matches(pattern, haystack)
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def _contains_display_name(self, display_name):
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if not display_name:
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return False
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body = self._event.content.get("body", None)
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if not body:
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return False
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return _glob_matches(display_name, body, word_boundary=True)
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def _get_value(self, dotted_key):
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return self._value_cache.get(dotted_key, None)
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# Caches (glob, word_boundary) -> regex for push. See _glob_matches
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regex_cache = LruCache(50000)
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register_cache("cache", "regex_push_cache", regex_cache)
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def _glob_matches(glob, value, word_boundary=False):
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"""Tests if value matches glob.
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Args:
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glob (string)
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value (string): String to test against glob.
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word_boundary (bool): Whether to match against word boundaries or entire
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string. Defaults to False.
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Returns:
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bool
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"""
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try:
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r = regex_cache.get((glob, word_boundary), None)
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if not r:
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r = _glob_to_re(glob, word_boundary)
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regex_cache[(glob, word_boundary)] = r
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return r.search(value)
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except re.error:
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logger.warning("Failed to parse glob to regex: %r", glob)
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return False
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def _glob_to_re(glob, word_boundary):
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"""Generates regex for a given glob.
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Args:
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glob (string)
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word_boundary (bool): Whether to match against word boundaries or entire
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string. Defaults to False.
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Returns:
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regex object
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"""
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if IS_GLOB.search(glob):
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r = re.escape(glob)
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r = r.replace(r"\*", ".*?")
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r = r.replace(r"\?", ".")
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# handle [abc], [a-z] and [!a-z] style ranges.
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r = GLOB_REGEX.sub(
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lambda x: (
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"[%s%s]" % (x.group(1) and "^" or "", x.group(2).replace(r"\\\-", "-"))
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),
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r,
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)
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if word_boundary:
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r = _re_word_boundary(r)
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return re.compile(r, flags=re.IGNORECASE)
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else:
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r = "^" + r + "$"
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return re.compile(r, flags=re.IGNORECASE)
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elif word_boundary:
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r = re.escape(glob)
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r = _re_word_boundary(r)
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return re.compile(r, flags=re.IGNORECASE)
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else:
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r = "^" + re.escape(glob) + "$"
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return re.compile(r, flags=re.IGNORECASE)
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def _re_word_boundary(r):
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"""
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Adds word boundary characters to the start and end of an
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expression to require that the match occur as a whole word,
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but do so respecting the fact that strings starting or ending
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with non-word characters will change word boundaries.
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"""
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# we can't use \b as it chokes on unicode. however \W seems to be okay
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# as shorthand for [^0-9A-Za-z_].
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return r"(^|\W)%s(\W|$)" % (r,)
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def _flatten_dict(d, prefix=[], result=None):
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if result is None:
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result = {}
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for key, value in d.items():
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if isinstance(value, string_types):
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result[".".join(prefix + [key])] = value.lower()
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elif hasattr(value, "items"):
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_flatten_dict(value, prefix=(prefix + [key]), result=result)
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return result
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