fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore

- 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>

fusionagi/self_improvement/recommender.py

@@ -2,8 +2,8 @@
 
 from typing import Any, Protocol
 
-from fusionagi.schemas.recommendation import Recommendation, RecommendationKind
 from fusionagi._logger import logger
+from fusionagi.schemas.recommendation import Recommendation, RecommendationKind
 
 
 class ReflectiveMemoryLike(Protocol):
@@ -81,7 +81,7 @@ class AutoRecommender:
             return []
         lessons = self._memory.get_lessons(limit=limit_lessons)
         recs: list[Recommendation] = []
-        failed = [l for l in lessons if l.get("outcome") == "failed"]
+        failed = [lesson for lesson in lessons if lesson.get("outcome") == "failed"]
         if len(failed) >= 3:
             recs.append(
                 Recommendation(