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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)
@staticmethod
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()]
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