x_range_funct_1d — ONED function op

• Data kinds: signal → pairs

• Call: import fullseye as fs; fs.ledger.x_range_funct_1d(y) (to call the implementation directly, import funct1d; funct1d.x_range_funct_1d(y); from the registry, ops1d.get("x_range_funct_1d"))

• Return value through the ledger: fullseye.ledger.x_range_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.x_range_funct_1d.raw(...) or call funct1d.x_range_funct_1d directly.

Usage

The x-domain `(0.0, n - 1.0) (HALCON x_range_funct_1d`).

:param y: 1-D function, at least 1 sample (an empty function has no domain).

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

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)

• signal_funct1d — py -3.11 examples/signal_funct1d.py

Ops the type connects to (they accept pairs as input)

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Same category (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.