lensconfig op• Data kinds: table → table
• Call: import fullseye as fs; fs.ledger.lens_configurations(system=None) -> 'list' (to call the implementation directly, import lensconfig; lensconfig.lens_configurations(system=None) -> 'list'; from the registry, opsoptics.get("lens_configurations"))
Resolve a multi-configuration prescription into one lens_system per configuration (table).
*system* is a raytrace.lens_system that carries "configurations": a list of sparse override dicts {"name", "surfaces": {index: {field: value}}, "system": {field: value}} (surface fields R t n k ap f asph mirror decenter tilt, system fields wavelength_um field stop object_mm image_mm aim). Returns one fully resolved lens_system per configuration, in order (each also carries configuration = its 0-based index and configuration_name); every raytrace / lensimage / lensopt op takes them unchanged. None uses a two-position example (a thin-lens pair whose separation is 10 and 30 mm).
Fail-closed: a configuration that names a surface that does not exist, an unknown field, or a value lens_system rejects raises ValueError naming the configuration; the base system is not modified (each result is an independent copy).
Example::
base = RT.lens_system([{"f": 100.0, "t": 20.0}, {"f": 100.0, "t": None}], stop=0,
object_mm=float("inf"))
base["configurations"] = [{"surfaces": {0: {"t": d}}} for d in (10.0, 20.0, 30.0)]
[RT.paraxial_trace(s)["efl"] for s in lens_configurations(base)]
Every optics op validates its input before computing (nothing slips through silently):
• Units are baked into the argument name — _mm / _um / _deg / _mrad. Confusing mm with µm does not crash; it yields a plausible-looking wrong answer, so the name prevents it. Nothing here guesses the unit from the magnitude.
• Strings raise ValueError — float('50') succeeds, so an unparsed configuration value would slip through as a length (measured: thin_lens('50', '200') returned a plausible 66.667 mm). bool is refused too, as the implicit promotion True == 1.
• complex / masked arrays raise ValueError (real-valued slots only; silently dropping the imaginary part or peeling off the mask is refused). NaN/Inf raises ValueError on every input.
• Division by zero and its relatives are refused by name: focal length 0, radius of curvature 0, refractive index <= 0, a fully opaque aperture (all zeros, so the normalisation is 0/0), a PSF whose sum is <= 0, a Stokes vector with S0 = 0, and an object sitting at the front focal point (the image is at infinity).
• Only two ops return a non-finite value, and both state it as a contract: depth_of_field returns far_mm = inf beyond the hyperfocal distance (that is what the hyperfocal distance means), and gaussian_beam returns wavefront_radius_mm = inf at the waist (the radius of curvature of a plane wavefront). Both also return a finite companion (far_is_infinite / curvature_per_mm). Any other silent NaN/Inf is detected internally and raises ValueError — "float64 overflowed" and "the answer is infinite" are different claims, so the first is never returned wearing the face of the second.
• Size caps: generated grids are capped by optics.MAX_GRID (4096); supplied fields/PSFs/apertures by optics.MAX_FIELD_ELEMENTS (2^24); ABCD element chains by optics.MAX_SYSTEM_ELEMENTS (1024); Zernike by MAX_ZERNIKE_TERMS (512) / MAX_ZERNIKE_ORDER (40) / MAX_ZERNIKE_BASIS (2^25). This closes, fail-closed, the paths where a small argument triggers a huge internal allocation (measured: n_max=40 × 4096² needs 108 GB).
• Physically impossible states are refused too: a Stokes vector with degree of polarisation > 1, negative transmittance, negative intensity, and invalid Zernike indices such as n-|m| odd.
• 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.
• poc_zoom_configurations — py -3.11 examples/poc_zoom_configurations.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
lensconfig)lens_with_configuration · lens_configuration_table · lens_configuration_metrics · lens_add_configuration
*Provenance: lensconfig.py — OPTICS 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.