robust op• Data kinds: matrix × signal → table
• Call: import fullseye as fs; fs.ledger.residue_fault_locate(residues, periods, weights=None, lo=0.0, hi=None, tol=0.05) -> 'dict' (implementation को सीधे call करना हो तो import residue; residue.residue_fault_locate(residues, periods, weights=None, lo=0.0, hi=None, tol=0.05) -> 'dict', registry से लेना हो तो opsresidue.get("residue_fault_locate"))
कौन सा band corrupt है? (redundant residue number system) -> dict।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
With more bands than [lo, hi) needs, the bands check each other. Each band is left out in turn and the rest are solved; the band whose removal leaves a consistent set (every residual within tol x its period) while itself disagreeing by more than tol is the corrupted one. If no single removal is consistent, or two different removals both are, the answer is undecidable and the value is NaN — never a guess.
Returns {"value", "faulty", "consistent_all", "worst_leave_one_out"}:
faulty is the band index, -1 = all bands agree (no fault), -2 = undecidable. Localising one fault needs the range to be resolvable by every subset of N-1 bands (it is refused otherwise); the narrower [lo, hi) is relative to the periods' least common multiple, the more of the redundancy is left to localise with.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_residue_crt — py -3.11 examples/poc_residue_crt.py
table को input के रूप में लेते हैं)—
robust)*Provenance: residue.py — RESIDUE operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.