nrrd_read — FILEIO `nrrd` op

• Data kinds: any → any

• Call: import fullseye as fs; fs.ledger.nrrd_read(data) (to call the implementation directly, import fileio; fileio.nrrd_read(data); from the registry, opsfileio.get("nrrd_read"))

• GPU: none (CPU reference implementation only)

Usage

Read raw/gzip NRRD as (array, meta) with explicit spatial units.

> The detailed description below is the original text — the summary and the headings are translated.

meta は space(teem の座標系名、無ければ None)、space_directions、方向ベクトルの長さから得た voxel_spacing、space_unit、space_origin、kinds を持つ。detached data、未知の encoding、shape/dtype/byte 数の不一致は拒否する。呼び出し例: array, meta = nrrd_read(payload)。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• fileio_scientific_roundtrip — py -3.11 examples/fileio_scientific_roundtrip.py

Ops the type connects to (they accept `any` as input)

table_write_csv · table_read_csv · mesh_write_ply · mesh_read_ply · mesh_write_stl · mesh_read_stl · mesh_write_obj · mesh_read_obj

Same category (`nrrd`)

nrrd_write

*Provenance: fileio.py — FILEIO operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

nrrd_read — FILEIO nrrd op