AdaEvolve
Hierarchical adaptive search: G-signal exploration intensity, UCB island allocation, and LLM meta-guidance on stagnation.
"""AdaEvolve scaffold — one module per component.
population.py -> AdaEvolveArchipelago (per-island QD archives + migration + spawning)
selection_policy.py -> AdaEvolvePolicy (G-signal intensity + 3-mode split + UCB islands)
prompt_builder.py -> AdaEvolvePromptBuilder (AdaEvolve template + search_guidance + mode labels)
proposer.py -> AdaEvolveProposer (SEARCH/REPLACE diff, full-rewrite fallback)
evaluator.py -> AdaEvolveEvaluator (task-supplied)
memory.py -> AdaEvolveParadigmMemory (Level-3 paradigm tracker)
scaffold.py -> AdaEvolveScaffold (the orchestrator that composes the six)
"""
from .evaluator import AdaEvolveEvaluator
from .memory import AdaEvolveParadigmMemory
from .population import AdaEvolveArchipelago
from .prompt_builder import AdaEvolvePromptBuilder
from .proposer import AdaEvolveProposer
from .scaffold import AdaEvolveScaffold
from .selection_policy import AdaEvolvePolicy
__all__ = [
"AdaEvolveScaffold",
"AdaEvolveArchipelago", "AdaEvolvePolicy", "AdaEvolvePromptBuilder", "AdaEvolveProposer",
"AdaEvolveEvaluator", "AdaEvolveParadigmMemory",
]