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Fix/staging #651

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merged 2 commits into from
Mar 18, 2025
Merged

Fix/staging #651

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a1099b2
Use Async Cacheing
bkb2135 Mar 18, 2025
0a0c675
Bump Version Number
bkb2135 Mar 18, 2025
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4 changes: 2 additions & 2 deletions prompting/rewards/web_retrieval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@
import json
import os
from collections import defaultdict
from functools import lru_cache
from urllib.parse import urlparse

import numpy as np
Expand All @@ -19,6 +18,7 @@
from prompting.rewards.reward import BatchRewardOutput
from prompting.tasks.base_task import BaseTextTask
from shared.dendrite import DendriteResponseEvent
from shared.misc import async_lru_cache

MIN_RELEVANT_CHARS = 300
MIN_MATCH_THRESHOLD = 98
Expand Down Expand Up @@ -89,7 +89,7 @@ def __hash__(self):
# Use the id of the object as its hash
return hash(self.model_dump_json)

@lru_cache(maxsize=1000)
@async_lru_cache(maxsize=1000)
async def _cosine_similarity(self, content1: str, content2: str) -> float:
"""Calculate the cosine similarity between sentence embeddings of the reference and completions."""
reference_emb_flatten = self.embedding_model.encode(content1, to_numpy=True).flatten()
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2 changes: 1 addition & 1 deletion pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "prompting"
version = "2.17.6"
version = "2.17.7"
description = "Subnetwork 1 runs on Bittensor and is maintained by Macrocosmos. It's an effort to create decentralised AI"
authors = ["Kalei Brady, Dmytro Bobrenko, Felix Quinque, Steffen Cruz, Richard Wardle"]
readme = "README.md"
Expand Down