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some small refinement (#156)

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Xu Yang
2024-08-02 19:06:21 +08:00
committed by GitHub
parent 99d12e2861
commit 6b212f1655
3 changed files with 21 additions and 45 deletions
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rdagent/components/coder/factor_coder/CoSTEER/evolving_strategy.py
+13 -17
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@@ -69,24 +69,20 @@ class MultiProcessEvolvingStrategy(EvolvingStrategy):
if FACTOR_IMPLEMENT_SETTINGS.select_threshold < len(to_be_finished_task_index):
# Select a fixed number of factors if the total exceeds the threshold
implementation_factors_per_round = FACTOR_IMPLEMENT_SETTINGS.select_threshold
else:
implementation_factors_per_round = len(to_be_finished_task_index)
if FACTOR_IMPLEMENT_SETTINGS.select_method == "random":
to_be_finished_task_index = RandomSelect(
to_be_finished_task_index,
FACTOR_IMPLEMENT_SETTINGS.select_threshold,
)
if FACTOR_IMPLEMENT_SETTINGS.select_method == "random":
to_be_finished_task_index = RandomSelect(
to_be_finished_task_index,
implementation_factors_per_round,
)
if FACTOR_IMPLEMENT_SETTINGS.select_method == "scheduler":
to_be_finished_task_index = LLMSelect(
to_be_finished_task_index,
implementation_factors_per_round,
evo,
queried_knowledge.former_traces,
self.scen,
)
if FACTOR_IMPLEMENT_SETTINGS.select_method == "scheduler":
to_be_finished_task_index = LLMSelect(
to_be_finished_task_index,
FACTOR_IMPLEMENT_SETTINGS.select_threshold,
evo,
queried_knowledge.former_traces,
self.scen,
)
result = multiprocessing_wrapper(
[