function op• Data kinds: signal → pairs
• Call: import fullseye as fs; fs.ledger.get_pair_funct_1d(y, index=0) (to call the implementation directly, import funct1d; funct1d.get_pair_funct_1d(y, index=0); from the registry, ops1d.get("get_pair_funct_1d"))
• Return value through the ledger: fullseye.ledger.get_pair_funct_1d(...) returns **only the declared out type pairs** (the underlying function also returns auxiliary values). When you need what was dropped, use fullseye.ledger.get_pair_funct_1d.raw(...) or call funct1d.get_pair_funct_1d directly.
The `(x, y) pair at *index* (HALCON get_pair_funct_1d`).
*index* is truncated to int and clamped into `[0, n-1]` (historical
behaviour, kept and documented rather than made an error): asking for
index -3 returns pair 0, asking past the end returns the last pair.
:param y: 1-D function, at least 1 sample.
:param index: sample position (clamped).
:returns: float64 array `[x, y[x]]`.
:raises ValueError: non-1-D / NaN / Inf input, empty input, or non-finite *index*.
• 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.
• signal_funct1d — py -3.11 examples/signal_funct1d.py
pairs as input)—
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. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.