fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
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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>
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@@ -1,12 +1,12 @@
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"""Planning engine: plan graph, dependency resolution, checkpoints."""
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from fusionagi.planning.graph import (
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topological_order,
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next_step,
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get_step,
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next_step,
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ready_steps,
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topological_order,
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)
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from fusionagi.planning.strategies import linear_order, dependency_order, get_strategy
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from fusionagi.planning.strategies import dependency_order, get_strategy, linear_order
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__all__ = [
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"topological_order",
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@@ -46,10 +46,10 @@ def next_step(plan: Plan, completed_step_ids: set[str]) -> str | None:
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def ready_steps(plan: Plan, completed_step_ids: set[str]) -> list[str]:
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"""
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Return all step ids that have dependencies satisfied and can run in parallel.
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For multi-agent acceleration: steps with no mutual dependencies can be
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dispatched to different agents concurrently.
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Returns:
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List of step ids ready for parallel execution.
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"""
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@@ -2,8 +2,8 @@
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from typing import Callable
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from fusionagi.schemas.plan import Plan
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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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