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#
# Pyserini: Python interface to the Anserini IR toolkit built on Lucene
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Filter a TREC run file to retain only docids that appear on a list of valid docids (commonly known as a whitelist).
The whitelist is a file with a docid on each line."""
import argparse
from collections import defaultdict
def read_file(file):
docids = set()
with open(file) as f:
for line in f:
cols = line.split()
if len(cols) > 0:
docids.add(cols[0])
return docids
def main():
parser = argparse.ArgumentParser(description=__doc__,
formatter_class=lambda prog: argparse.HelpFormatter(prog, width=100))
parser.add_argument('--whitelist', metavar='FILE', type=str, help='Whitelist (one docid per line).', required=True)
parser.add_argument('--input', metavar='FILE', type=str, help='Input run.', required=True)
parser.add_argument('--output', metavar='FILE', type=str, help='Output run.', required=True)
parser.add_argument('--runtag', metavar='STRING', type=str, default=None, help='Runtag.')
parser.add_argument('--k', metavar='NUM', type=int, default=1000, help='Number of hits to retain per topic.')
args = parser.parse_args()
docids = read_file(args.whitelist)
print(f'Read {len(docids)} docids from {args.whitelist}')
counts = defaultdict(int)
prev_score = None
check_score = True
with open(args.output, 'w') as output_f:
with open(args.input) as input_f:
for line in input_f:
cols = line.split()
qid = cols[0]
docid = cols[2]
score = float(cols[4])
tag = cols[5]
if args.runtag:
tag = args.runtag
if counts[qid] >= args.k:
if check_score:
if score <= prev_score:
print(f'Warning: scores of {qid} do not strictly decrease at {docid}')
check_score = False
continue
else:
continue
if docid in docids:
counts[qid] += 1
prev_score = float(cols[4])
check_score = True
output_f.write(f'{qid} Q0 {docid} {counts[qid]} {score} {tag}\n')
if __name__ == '__main__':
main()
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