compose_funct_1d — ONED function op

• データ種: signal × signal → signal

• 呼び出し: import fullseye as fs; fs.ledger.compose_funct_1d(y1, y2) (実装を直接呼ぶなら import funct1d; funct1d.compose_funct_1d(y1, y2)、台帳から引くなら ops1d.get("compose_funct_1d"))

使い方

Composition `y1(y2)`: the values of *y2* used as positions into *y1*

(HALCON `compose_funct_1d`).

Each `y2[i]` is rounded to the nearest integer and clamped into

`[0, len(y1) - 1], then out[i] = y1[that index]`. Nearest-neighbour

lookup, no interpolation.

Domain policy (documented difference from HALCON, which errors when the

range of *y2* leaves the domain of *y1*): out-of-domain positions are

clamped to the first / last sample of *y1*, never extrapolated. If you need

the strict check, compare `y_range_funct_1d(y2)` against

`x_range_funct_1d(y1)` before composing.

:param y1: outer function, at least 1 sample.

:param y2: inner function supplying positions (may be empty).

:returns: float64 array with the length of *y2*.

:raises ValueError: non-1-D / NaN / Inf input, or empty *y1*.

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• (まだありません)

型が繋がる次の op(signal を入力に取れる)

create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d

同カテゴリ(function)

create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d

*Provenance: funct1d.py — ONED operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.