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# NOTE: rank_start is not used.
import math
import copy
from tqdm import tqdm
from typing import Optional, Tuple, List, Dict, Union, Any
from ..utils import Result, batch_iterator
from .base import RerankStrategy
class PairAll(RerankStrategy):
def run(
self,
init_results: List[Result],
rank_start: int = 0,
rank_end: int = None,
batch_size: Optional[int] = 32,
**kwargs
) -> List[Result]:
results = [copy.deepcopy(result) for result in init_results]
all_scores = {}
for index, result in enumerate(results):
## Placeholder for scores
result.hits = [hit for hit in result.hits[:rank_end]]
all_scores[result.qid] = [0 for _ in result.hits]
## Create prompts for all pairs
idx_pairs = [(i, j) for i in range(len(result.hits)) for j in range(len(result.hits)) if i != j]
prompts = self._prompt_builder.create_prompt(
result,
rank_start=0, rank_end=rank_end,
idx_pairs=idx_pairs,
)
## Iterate over pairs
scores = []
for batch_prompts in batch_iterator(prompts, batch_size):
batch_scores = self._llm.generate(batch_prompts, binary_probs=True)
scores.extend(batch_scores)
## Score aggregation
for (i, j), score in zip(idx_pairs, scores):
score = math.log(score) if self.config.score_aggregation == 'symsumlog' else score
all_scores[result.qid][i] += score
all_scores[result.qid][j] += (1-score)
## Update results with scores
reranked_results = self._result_parser.parse(
[all_scores[result.qid] for result in results],
init_results
)
return reranked_results
def run_pass(self, **kwargs: Any):
raise NotImplementedError("PairAll does not support `run_pass`. Use run instead.")

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