get_y_value_funct_1d — ONED `function` op

• Data kinds: signal → measurement

• Call: import fullseye as fs; fs.ledger.get_y_value_funct_1d(y, x, interpolate=True) (to call the implementation directly, import funct1d; funct1d.get_y_value_funct_1d(y, x, interpolate=True); from the registry, ops1d.get("get_y_value_funct_1d"))

Usage

The y-value at (fractional) position *x* (HALCON `get_y_value_funct_1d`).

With `interpolate=True` (default) the value is linearly interpolated

between the two neighbouring samples; with `interpolate=False` the nearest

sample is returned.

Domain policy (documented, not extrapolated): *x* outside `[0, n-1]`

clamps to the boundary value (`numpy.interp` end-hold semantics /

index clip). HALCON's `'zero'`-border variant is not offered.

:param y: 1-D function, at least 1 sample.

:param x: finite scalar position in index units.

:param interpolate: linear interpolation (True) or nearest sample (False).

:returns: float.

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

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)

• poc_veiling_glare — py -3.11 examples/poc_veiling_glare.py

• signal_funct1d — py -3.11 examples/signal_funct1d.py

Ops the type connects to (they accept `measurement` 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).*

get_y_value_funct_1d — ONED function op