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Conservative provenance/confidence/lineage envelope with a taint-propagation combination law. Mock or low-confidence data cannot launder itself clean.

Project description

plumb-line-provenance (Python)

A conservative provenance / confidence / lineage envelope with a taint-propagation combination law: once any input is mock or low-confidence, every value derived from it inherits that taint automatically — there is no escape hatch that silently clears the flag.

from plumb_line_provenance import mark, derive, meta_of, audit_meta

base = mark(1000, source='real', confidence='high')
rate = mark(1.25, source='mock', confidence='low')
total = derive([base, rate], lambda a, r: a * r)

total['meta']['derived_from_mock']  # True  — inherited from rate, cannot be cleared
total['meta']['confidence']         # 'low' — only as certain as the weakest input
audit_meta(meta_of(total))          # []    — internally consistent

You can also copy the module files directly into a project and import them flat (from marked import mark); both styles work.

  • Specification: SPEC.md (envelope schema version 1)
  • Model, law, examples: README.md
  • License: Apache-2.0

JavaScript parity package: plumb-line-provenance on npm.

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