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add a conditional check that speeds up scoring #52

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add a conditional check that speeds up scoring #52

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74f5a13
Update rank_bm25.py
kylegilde Dec 3, 2025
f50d599
Merge pull request #1 from kylegilde/kylegilde-patch-1
kylegilde Dec 3, 2025
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18 changes: 10 additions & 8 deletions rank_bm25.py
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Original file line number Diff line number Diff line change
Expand Up @@ -151,10 +151,11 @@ def get_scores(self, query):
score = np.zeros(self.corpus_size)
doc_len = np.array(self.doc_len)
for q in query:
q_freq = np.array([(doc.get(q) or 0) for doc in self.doc_freqs])
ctd = q_freq / (1 - self.b + self.b * doc_len / self.avgdl)
score += (self.idf.get(q) or 0) * (self.k1 + 1) * (ctd + self.delta) / \
(self.k1 + ctd + self.delta)
if q in self.idf:
q_freq = np.array([(doc.get(q) or 0) for doc in self.doc_freqs])
ctd = q_freq / (1 - self.b + self.b * doc_len / self.avgdl)
score += (self.idf.get(q) or 0) * (self.k1 + 1) * (ctd + self.delta) / \
(self.k1 + ctd + self.delta)
return score

def get_batch_scores(self, query, doc_ids):
Expand All @@ -165,10 +166,11 @@ def get_batch_scores(self, query, doc_ids):
score = np.zeros(len(doc_ids))
doc_len = np.array(self.doc_len)[doc_ids]
for q in query:
q_freq = np.array([(self.doc_freqs[di].get(q) or 0) for di in doc_ids])
ctd = q_freq / (1 - self.b + self.b * doc_len / self.avgdl)
score += (self.idf.get(q) or 0) * (self.k1 + 1) * (ctd + self.delta) / \
(self.k1 + ctd + self.delta)
if q in self.idf:
q_freq = np.array([(self.doc_freqs[di].get(q) or 0) for di in doc_ids])
ctd = q_freq / (1 - self.b + self.b * doc_len / self.avgdl)
score += (self.idf.get(q) or 0) * (self.k1 + 1) * (ctd + self.delta) / \
(self.k1 + ctd + self.delta)
return score.tolist()


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