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# | |
# Pyserini: Reproducible IR research with sparse and dense representations | |
# | |
# 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. | |
# | |
import os | |
import sys | |
# Use Pyserini in this repo (as opposed to pip install) | |
sys.path.insert(0, './') | |
from pyserini.util import download_url | |
from pyserini.prebuilt_index_info import TF_INDEX_INFO, IMPACT_INDEX_INFO, FAISS_INDEX_INFO | |
def check(index): | |
for entry in index: | |
print(f'# Checking "{entry}"...') | |
md5sum = index[entry]['md5'] | |
for url in index[entry]['urls']: | |
destination = download_url(url, '.', md5=md5sum) | |
print(f'Finished downloading to {destination}, cleaning up.') | |
os.remove(destination) | |
print('\n') | |
if __name__ == '__main__': | |
check(TF_INDEX_INFO) | |
check(IMPACT_INDEX_INFO) | |
check(FAISS_INDEX_INFO) | |