store tabulated densities as float32 npz to fit PyPI's 100 MB limit - #87
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The v3.0 wheel was 145 MB because the bskg3 and d1m density tables
shipped as 452 MB of 11-column ASCII, of which the loader only read the
radius, proton and neutron density columns. Each model is now one
compressed .npz (13 + 12 MB) holding just the two densities as float32
on a uniform grid; the original tables carry 5-6 significant digits and
round-trip to 6e-8 relative error. The wheel drops to 29 MB, the sdist
to 39 MB, and `import jitr` no longer parses 452 MB of text (8.8 s to
1.6 s).
- density.py: load <model>.npz at init; keep the .rad reader as
read_rad_file and add write_density_npz for conversion
- scripts/convert_density_tables.py: rebuild an npz from a .rad directory
- remove src/data/densities/{bskg3,d1m}/*.rad (kept in history, 71e4ea0)
- tests: rad -> npz round trip and uniform-grid check
Claude-Session: https://claude.ai/code/session_014PvAXNJiHj9E9CiGeH45Pm
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The v3.0 wheel was 145 MB because the bskg3 and d1m density tables shipped as 452 MB of 11-column ASCII, of which the loader only read the radius, proton and neutron density columns. Each model is now one compressed .npz (13 + 12 MB) holding just the two densities as float32 on a uniform grid; the original tables carry 5-6 significant digits and round-trip to 6e-8 relative error. The wheel drops to 29 MB, the sdist to 39 MB, and
import jitrno longer parses 452 MB of text (8.8 s to 1.6 s).