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- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available) - Integrate GPU deduplication into multi_agent/consensus_engine.py - Add semantic_search() method to memory/semantic_graph.py with GPU acceleration - Integrate GPU training into self_improvement/training.py AutoTrainer - Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names) - Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.) - Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint]) - Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds - Add type hints and docstrings to verification/outcome.py - Fix E402 import ordering in witness_agent.py - Fix F821 undefined names in vector_pgvector.py and native.py - Fix E741 ambiguous variable names in reflective.py and recommender.py All 276 tests pass. 0 ruff errors. 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
24 lines
687 B
Python
24 lines
687 B
Python
"""Planning strategies: linear vs dependency-based order."""
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from typing import Callable
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from fusionagi.planning.graph import topological_order
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from fusionagi.schemas.plan import Plan
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def linear_order(plan: Plan) -> list[str]:
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"""Return step ids in declaration order (ignore dependencies)."""
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return plan.step_ids()
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def dependency_order(plan: Plan) -> list[str]:
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"""Return step ids in dependency order (topological sort)."""
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return topological_order(plan)
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def get_strategy(name: str) -> Callable[[Plan], list[str]]:
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"""Return strategy function by name: linear or dependency."""
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if name == "linear":
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return linear_order
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return dependency_order
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