tokens_to_matrix — REPRCONV `exit` op

• Data kinds: tokens → matrix

• Call: import fullseye as fs; fs.ledger.tokens_to_matrix(tokens) (to call the implementation directly, import reprconv; reprconv.tokens_to_matrix(tokens); from the registry, opsreprconv.get("tokens_to_matrix"))

• GPU: none (CPU reference implementation only)

Usage

A token sequence tokens (T, d) → a general matrix matrix (T, d). The exit from tokens.

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

中身は変えない(写しを返す)。tokens を matrix と分けてあるのは、入る側で転置した (d, T) が黙って通るのを防ぐため(opsllmcore の docstring)で、出る側は一般の行列として扱ってよい —— SVD・条件数・ノルムなど matrix の op がそのまま掛かる(例: 注意の出力の実効次数を mat_cond で見る)。逆向き(matrix → tokens)は軸の順を確かめようがないので作らない。

Args:

tokens: (T, d) の有限な実数列。

Returns:

(T, d) float64。

Raises:

ValueError: 2-D でない / 非有限 / 空。

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)

• type_connectivity_tour — py -3.11 examples/type_connectivity_tour.py

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

matrix_to_descriptor · matrix_to_angle · matrix_to_rot_scale

Same category (`exit`)

pose_to_matrix · pairs_peak_x

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

tokens_to_matrix — REPRCONV exit op