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36 changed files with 307 additions and 135 deletions
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@ -5,11 +5,11 @@ computation failed or was interrupted, leaving either zero rows or only
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the origin postcode. We detect this by an absolute, structural criterion:
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a file is corrupt only when it is unreadable or has a row count at or below
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CORRUPT_ROW_FLOOR. Per-mode percentile/median/range figures are reported
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for context only — they never drive the deletable set, so repeated runs
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for context only. They never drive the deletable set, so repeated runs
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(including with --delete) are idempotent and never erode legitimate
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small-catchment (rural/island) origins.
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Duplicates arise when places.parquet is rebuilt between R5 runs — each
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Duplicates arise when places.parquet is rebuilt between R5 runs. Each
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place gets a new numeric index prefix, so the skip-completed logic
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doesn't recognize previous results. --dedup keeps only the largest
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file per slug and removes the rest.
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@ -105,7 +105,7 @@ def find_bad_files(base_dir: Path) -> tuple[list[BadFile], dict[str, dict]]:
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if not row_counts:
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continue
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# Reporting statistics only — these never decide what gets deleted.
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# Reporting statistics only; these never decide what gets deleted.
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p5 = percentile(row_counts, 5)
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median = percentile(row_counts, 50)
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