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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 json | |
from pyserini.encode import QueryEncoder | |
class CachedDataQueryEncoder(QueryEncoder): | |
def __init__(self, model_name_or_path): | |
self.vectors = self._load_from_jsonl(model_name_or_path) | |
def _load_from_jsonl(path): | |
vectors = {} | |
with open(path) as f: | |
for line in f: | |
info = json.loads(line) | |
text = info['contents'].strip() | |
vec = info['vector'] | |
vectors[text] = vec | |
return vectors | |
def encode(self, text, **kwargs): | |
return self.vectors[text.strip()] | |