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# -*- coding: utf-8 -*-
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"""
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rhodecode.lib.indexers.__init__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Whoosh indexing module for RhodeCode
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:created_on: Aug 17, 2010
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:author: marcink
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:copyright: (C) 2010-2012 Marcin Kuzminski <marcin@python-works.com>
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:license: GPLv3, see COPYING for more details.
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"""
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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import os
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import sys
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import traceback
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import logging
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from os.path import dirname as dn, join as jn
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#to get the rhodecode import
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sys.path.append(dn(dn(dn(os.path.realpath(__file__)))))
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from string import strip
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from shutil import rmtree
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from whoosh.analysis import RegexTokenizer, LowercaseFilter, StopFilter
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from whoosh.fields import TEXT, ID, STORED, Schema, FieldType
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from whoosh.index import create_in, open_dir
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from whoosh.formats import Characters
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from whoosh.highlight import highlight, HtmlFormatter, ContextFragmenter
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from webhelpers.html.builder import escape
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from sqlalchemy import engine_from_config
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from rhodecode.model import init_model
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from rhodecode.model.scm import ScmModel
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from rhodecode.model.repo import RepoModel
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from rhodecode.config.environment import load_environment
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from rhodecode.lib.utils2 import LazyProperty
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from rhodecode.lib.utils import BasePasterCommand, Command, add_cache,\
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load_rcextensions
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# CUSTOM ANALYZER wordsplit + lowercase filter
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ANALYZER = RegexTokenizer(expression=r"\w+") | LowercaseFilter()
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#INDEX SCHEMA DEFINITION
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SCHEMA = Schema(
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owner=TEXT(),
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repository=TEXT(stored=True),
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path=TEXT(stored=True),
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content=FieldType(format=Characters(), analyzer=ANALYZER,
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scorable=True, stored=True),
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modtime=STORED(),
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extension=TEXT(stored=True)
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)
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IDX_NAME = 'HG_INDEX'
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FORMATTER = HtmlFormatter('span', between='\n<span class="break">...</span>\n')
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FRAGMENTER = ContextFragmenter(200)
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class MakeIndex(BasePasterCommand):
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max_args = 1
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min_args = 1
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usage = "CONFIG_FILE"
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summary = "Creates index for full text search given configuration file"
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group_name = "RhodeCode"
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takes_config_file = -1
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parser = Command.standard_parser(verbose=True)
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def command(self):
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logging.config.fileConfig(self.path_to_ini_file)
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from pylons import config
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add_cache(config)
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engine = engine_from_config(config, 'sqlalchemy.db1.')
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init_model(engine)
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index_location = config['index_dir']
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repo_location = self.options.repo_location \
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if self.options.repo_location else RepoModel().repos_path
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repo_list = map(strip, self.options.repo_list.split(',')) \
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if self.options.repo_list else None
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load_rcextensions(config['here'])
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#======================================================================
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# WHOOSH DAEMON
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#======================================================================
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from rhodecode.lib.pidlock import LockHeld, DaemonLock
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from rhodecode.lib.indexers.daemon import WhooshIndexingDaemon
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try:
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l = DaemonLock(file_=jn(dn(dn(index_location)), 'make_index.lock'))
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WhooshIndexingDaemon(index_location=index_location,
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repo_location=repo_location,
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repo_list=repo_list,)\
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.run(full_index=self.options.full_index)
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l.release()
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except LockHeld:
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sys.exit(1)
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def update_parser(self):
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self.parser.add_option('--repo-location',
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action='store',
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dest='repo_location',
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help="Specifies repositories location to index OPTIONAL",
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)
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self.parser.add_option('--index-only',
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action='store',
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dest='repo_list',
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help="Specifies a comma separated list of repositores "
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"to build index on OPTIONAL",
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)
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self.parser.add_option('-f',
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action='store_true',
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dest='full_index',
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help="Specifies that index should be made full i.e"
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" destroy old and build from scratch",
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default=False)
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class ResultWrapper(object):
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def __init__(self, search_type, searcher, matcher, highlight_items):
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self.search_type = search_type
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self.searcher = searcher
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self.matcher = matcher
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self.highlight_items = highlight_items
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self.fragment_size = 200
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@LazyProperty
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def doc_ids(self):
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docs_id = []
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while self.matcher.is_active():
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docnum = self.matcher.id()
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chunks = [offsets for offsets in self.get_chunks()]
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docs_id.append([docnum, chunks])
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self.matcher.next()
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return docs_id
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def __str__(self):
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return '<%s at %s>' % (self.__class__.__name__, len(self.doc_ids))
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def __repr__(self):
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return self.__str__()
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def __len__(self):
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return len(self.doc_ids)
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def __iter__(self):
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"""
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Allows Iteration over results,and lazy generate content
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*Requires* implementation of ``__getitem__`` method.
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"""
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for docid in self.doc_ids:
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yield self.get_full_content(docid)
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def __getitem__(self, key):
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"""
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Slicing of resultWrapper
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"""
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i, j = key.start, key.stop
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slices = []
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for docid in self.doc_ids[i:j]:
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slices.append(self.get_full_content(docid))
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return slices
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def get_full_content(self, docid):
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res = self.searcher.stored_fields(docid[0])
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f_path = res['path'][res['path'].find(res['repository']) \
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+ len(res['repository']):].lstrip('/')
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content_short = self.get_short_content(res, docid[1])
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res.update({'content_short': content_short,
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'content_short_hl': self.highlight(content_short),
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'f_path': f_path})
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return res
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def get_short_content(self, res, chunks):
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return ''.join([res['content'][chunk[0]:chunk[1]] for chunk in chunks])
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def get_chunks(self):
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"""
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Smart function that implements chunking the content
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but not overlap chunks so it doesn't highlight the same
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close occurrences twice.
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:param matcher:
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:param size:
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"""
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memory = [(0, 0)]
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for span in self.matcher.spans():
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start = span.startchar or 0
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end = span.endchar or 0
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start_offseted = max(0, start - self.fragment_size)
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end_offseted = end + self.fragment_size
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if start_offseted < memory[-1][1]:
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start_offseted = memory[-1][1]
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memory.append((start_offseted, end_offseted,))
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yield (start_offseted, end_offseted,)
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def highlight(self, content, top=5):
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if self.search_type != 'content':
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return ''
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hl = highlight(
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text=escape(content),
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terms=self.highlight_items,
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analyzer=ANALYZER,
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fragmenter=FRAGMENTER,
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formatter=FORMATTER,
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top=top
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)
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return hl
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