3853988af7
- Fixed PSO budget calculation bug in ml/src/hyperopt/optimizer.rs - Root cause: Division by n_particles in sequential execution - Now correctly calculates max_iters = remaining_trials (no division) - Result: 50 trials complete instead of 23 (100% vs 46%) - Added comprehensive DQN hyperopt results analysis - 39/50 trials analyzed across 2 RunPod deployments - Best hyperparameters identified: LR 4.89e-5 (ultra-low) - Created DQN_HYPEROPT_RESULTS_SUMMARY.md with expert validation - GitLab CI/CD pipeline operational (48 lines fixed) - Fixed YAML syntax errors (unquoted colons) - All 7 jobs validated and working - Warning cleanup complete (136 → 0 warnings) - Removed 143 lines dead code - Fixed visibility, unused imports, Debug traits - Archived Wave D reports to docs/archive/ - 8 early stopping reports moved - Root directory cleaned up 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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21 lines
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error: externally-managed-environment
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× This environment is externally managed
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╰─> To install Python packages system-wide, try apt install
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python3-xyz, where xyz is the package you are trying to
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install.
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If you wish to install a non-Debian-packaged Python package,
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create a virtual environment using python3 -m venv path/to/venv.
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Then use path/to/venv/bin/python and path/to/venv/bin/pip. Make
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sure you have python3-full installed.
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If you wish to install a non-Debian packaged Python application,
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it may be easiest to use pipx install xyz, which will manage a
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virtual environment for you. Make sure you have pipx installed.
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See /usr/share/doc/python3.12/README.venv for more information.
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note: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.
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hint: See PEP 668 for the detailed specification.
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