- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db*.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure
20 lines
458 B
Bash
Executable File
20 lines
458 B
Bash
Executable File
#!/bin/bash
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# Quick test to verify DbnSequenceLoader fix
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set -e
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echo "🧪 Testing DbnSequenceLoader with fixed memory limits..."
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echo ""
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# Run test with timeout and logging
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timeout 60s cargo test -p ml test_dbn_sequence_loader --release -- --test-threads=1 --nocapture 2>&1 | tail -50
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if [ $? -eq 0 ]; then
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echo ""
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echo "✅ TEST PASSED - DbnSequenceLoader fix successful!"
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else
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echo ""
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echo "❌ TEST FAILED or TIMED OUT"
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exit 1
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fi
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