release: 0.5.0

CHANGELOG.md

@@ -2,7 +2,7 @@
 
 All notable changes to this project will be documented in this file.
 
-## [Unreleased]
+## [0.5.0] - 2026-10-16
 - Hygiene sweep: 51 P2 + 29 P3 findings from the 2026-10-09 audit (issue #84), areas a1–a8. Most items are behaviour-preserving (full suite green, `bench/check_anchors.py` byte-identical); the intended behaviour changes below are pinned in `tests/test_audit_84.py`.
   - CLI (a1): unknown `--compress` codecs are a usage error, exit 2 (GDAL would silently write uncompressed; verified set: NONE/ZSTD/LZW/DEFLATE/PACKBITS/LERC/LZMA, case-insensitive), and the written compress tag is read back as a stack-variance guard. Empty `--out` (== CWD) is exit 2. Malformed `--calibration` files are a named exit 2. Non-numeric value/lng/lat columns name the column in the error. `--plan` text: header line + `workers` / `max-band-parallel` split (the turbo thread count is labelled `n_threads`). `ppgrid -m` (idwgrid shim) guarded; `--max-band-parallel` row + expanded `--compress` row in the README table. `run_summary.json` `volumetrics.raw_bytes` / `compression_ratio` are now sized from the final output-CRS raster, not the work grid (the rescale was previously conflated into the ratio; note the plan's `disk_bytes` keeps the work-grid convention).
   - Ingest (a2): corrupt/short parquet is a named exit 1 (was a mid-run arrow traceback); duplicate role columns (a column named as both value and lng, etc.) are exit 2; a lng/lat column-mapping failure is a named RuntimeError; a CSV row-count mismatch between the newline scan and the parse warns (was silent); all-missing-columns reports every missing column in one pass; `Pipeline(...)` rejects `res` / `scale` / `saturation` / `workers` / `calib_max_points` as unexpected keywords (they are named parameters, and now raise instead of being silently ignored).

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ppgrid"
-version = "0.4.2"
+version = "0.5.0"
 description = "Fast continent-scale raster interpolation for scattered point data using pull-push mipmap algorithms. Turns millions of geolocated points into gapless GeoTIFF in minutes. No GPU required."
 readme = "README.md"
 license = "MIT"