- 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
40 lines
1.2 KiB
Bash
40 lines
1.2 KiB
Bash
#!/bin/bash
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# Fix ML test compilation errors
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echo "=== Fixing ML Test Compilation Errors ==="
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# Find all test modules and add common missing imports
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find ml/src -name "*.rs" -type f | while read file; do
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# Check if file has tests
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if grep -q "#\[cfg(test)\]" "$file" 2>/dev/null; then
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echo "Processing: $file"
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# Check if imports section exists
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if ! grep -q "^#\[cfg(test)\]" "$file"; then
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continue
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fi
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# Get the test module line number
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test_line=$(grep -n "^#\[cfg(test)\]" "$file" | head -1 | cut -d: -f1)
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if [ ! -z "$test_line" ]; then
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# Check what's missing and add imports after the mod tests { line
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mod_line=$((test_line + 1))
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# Create a temporary file with the fixes
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awk -v modline="$mod_line" '
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NR == modline && /^mod tests \{/ {
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print $0
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print " use candle_core::{Device, DType};"
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print " use std::fs::File;"
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print " use std::io::Write;"
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print " use tempfile::tempdir;"
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next
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}
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{print}
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' "$file" > "$file.tmp" && mv "$file.tmp" "$file"
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fi
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fi
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done
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echo "=== Done ===" |