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feat: in, unique and agree words - #592

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@thedavidmeister thedavidmeister commented Sep 24, 2026 •

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Closes #590.

Three words, all in src/lib/op/logic/, registered in LibAllStandardOps.
ALL_STANDARD_OPS_LENGTH goes 73 -> 76.

in

Set membership. in<n>(needle... member...). The operand is the needle count:
the first n inputs are the needles, every subsequent input is a member of the
one set they all have to be in. 1 if every needle is in the set, else 0.
Membership is numerical equality, as per equal-to, so 1 is in (1.0).

Integrity requires at least one more input than there are needles, so the set is
never empty.

unique

1 if every input is numerically distinct from every other, else 0. Minimum 2
inputs — a lone value is vacuously unique, which is not a guard.

The matched pair of equal-to: one asserts every value is the same, the other
that every value differs.

agree

agree(absolute proportional value value ...). 1 if
highest - lowest <= max(absolute, proportional * max(abs(value))), else 0.
Minimum 4 inputs (two tolerances and two values).

Both tolerances are always given; neither defaults. An expression that wants
only one writes the other as zero.

Neither tolerance may be negative, and at least one must be positive, or
the word reverts — AgreeToleranceNegative and AgreeNoPositiveTolerance,
both new in ErrEval. See "Why the tolerances are validated" below.

/* Prices within 1% of each other. Setting one tolerance to zero makes the
 * max-vs-sum choice unobservable, since max(x, 0) == x + 0. */
_: agree(0 0.01 lead-price() attested-price<0>() attested-price<1>());
/* Times within 60 seconds of each other. A time is an offset from an epoch,
 * so a proportion of it means nothing. */
_: agree(60 0 now() lead-time() attested-time<0>());

Why both tolerances, why the largest magnitude, and why the larger rather than the sum

An earlier revision of this branch took a single proportional tolerance
measured against abs(lowest), plus a separate agree-absolute word. That
shape had two problems that the combined form removes rather than documents.

A proportional tolerance alone collapses as the values approach zero. The
anchor shrinks with the values, so the ratio diverges while the values are
agreeing by any practical measure: -0.001 and 0.001 read as 200% apart. No
anchor drawn from the values themselves escapes this, because every such anchor
shrinks at exactly the rate that makes the ratio blow up. An absolute tolerance
alone has the opposite problem: it does not scale. The sum of the two covers
the whole domain: the absolute term carries the region near zero, the
proportional term carries the rest.

The larger of the two, not their sum. This is the form Python's
math.isclose (PEP 485) and Julia's
isapprox use. numpy.isclose
sums them instead, which PEP 485 rejects because "if the absolute and relative
tolerances are of similar magnitude, then the allowed difference will be about
twice as large as expected". Here the sum is wrong for a second reason on top
of that: for non-negative terms max(a, b) <= a + b, so the sum is strictly
the more permissive combination, and the stricter reading of two tolerances is
the one a guard should take.

Taking the larger is also exact, so it removes a lossy operation from the limit
rather than adding one.

A consequence worth knowing: the terms do not cancel. A negative tolerance is
dominated by a non-negative one rather than subtracting from it, so one
non-negative term floors the limit at itself. Only when both terms are negative
is the limit negative, which rejects everything.

Requiring both, rather than defaulting the absolute one to zero, is deliberate:
a silently defaulted zero is exactly the guard that looks correct and breaks
near zero. Writing the zero makes it an assertion that the values stay away
from zero.

The anchor is the largest magnitude across the whole list, taken once
rather than per pair. That is what makes a single highest-to-lowest check
equivalent to checking every pair: the spread is the largest pairwise
difference, so bounding it bounds all of them. A per-pair anchor would give one
limit per pair, which no single spread summarises.

Taking a magnitude rather than a signed value is what lets negative sets behave
the way positive ones do: agree(0 0.01 -100 -99) is 1, the reflection of
agree(0 0.01 99 100).

agree-absolute is removed. It is now agree with a proportional
tolerance of zero, so the word set shrinks by one and
ALL_STANDARD_OPS_LENGTH goes 77 -> 76 relative to the previous revision of
this branch.

Precision, and no promised rounding direction

agree keeps the spread and the limit at LibDecimalFloatImplementation level
and never packs either back into a Float, so the comparison happens at full
internal precision and the answer is exact except within about an ulp of the
boundary.

It deliberately promises no rounding DIRECTION. A direction is a safety
property where error accumulates — the leaky bucket this feeds is touched by
every mint, so a consistent bias there compounds. Nothing accumulates in
agree: it answers 0 or 1 into an ensure, so a biased answer cannot be
repeated for gain, and biasing one would mean placing the spread within an ulp
at ~76 significant digits of a limit the mint admin chose with orders of
magnitude more slack.

The earlier revision did promise a direction, and it did not hold uniformly:
the subtraction truncates away from zero for same-signed values and toward it
for values straddling zero. That exception was the only place the
implementation knowingly departed from its own stated rule, and the one
behaviour here with no test behind it. The rule created the exception; the
arithmetic has no defect. st0x.attest item 14 is updated to scope the
rounding requirement to the leaky bucket, where it is earned.

Shared arithmetic, and what the differential actually tests

run and referenceFn differ only in how they find the highest and the
lowest: a pointer walk against an array walk. They call the same spreadOf /
anchorOf / limitOf / agreedAt helpers for the arithmetic.

This is a deliberate choice with a cost worth stating plainly. It means
opReferenceCheck is not an independent oracle for the formula — a wrong
expression would appear identically on both sides and the differential would
pass. What it does test independently is the walk, which is what caught the
tie-break divergence described below.

The alternative, two hand-written copies of the arithmetic, does not buy a real
oracle either: they would be written by the same hand from the same formula at
the same time, so they fail together on a misread of the spec while costing a
genuine drift risk between them. Instead the formula is pinned by the eval
assertions, whose boundaries are derived from the arithmetic rather than
observed from a run, and the mutation results below test that claim rather than
asserting it.

Why the tolerances are validated

A tolerance cannot meaningfully be negative: the spread is a distance, so it is
never negative, and nothing a caller could want is expressed by one. It is
representable only because floats are signed, and it reaches the word as a typo
or a miscomputed constant.

Taking the larger of the two terms made that worse rather than harmless,
which is what prompted the check. A negative tolerance is simply dominated by
the other term, so agree(1 -0.01 100 100.5) answered 1. Under the earlier
sum form the negative term poisoned the limit and the same call answered 0.
So the switch to max silently turned a garbage input from a rejection into an
acceptance — a guard succeeding on malformed input, which is the one outcome a
guard must not have. Reverting closes that rather than documenting it.

Separately, at least one tolerance must be positive. If neither is, the limit
is zero and agree is an exact equality check — which is what the now-variadic
equal-to is for, so it means the wrong word was written. Either tolerance
ALONE may still be zero; that is how an expression asks for only the other, and
it is what both of the spec's example calls do.

The rule is implemented as neither is greater than zero rather than both are zero. Those are equivalent only because the negative check runs first; stated
the first way it is self-contained and says the invariant rather than naming
one case that violates it.

Decisions that should be confirmed rather than assumed

in's operand is required rather than defaulting to one needle

in uses handleOperandSingleFullNoDefault, so in(1 1) is ExpectedOperand
at parse time, and in<0>(...) is a new InNeedlesZero at deploy time — zero
needles would make the check vacuously true, which is never what an ensure
guard wants.

The argument for requiring it: the operand is the only thing marking where the
needles end and the set begins, so a default silently picks one reading of an
ambiguous call.

The argument against: the single-needle case is probably the common one, and
in(x a b c) reads better than in<1>(x a b c).

Things found while writing this

  1. The tolerance combination was taken from numpy without comparing it to
    the alternative.
    An earlier revision of this branch used
    absolute + proportional * anchor, presented as "the standard form". It is
    numpy's form, but it is not the only one: PEP 485 and Julia both take the
    LARGER of the two terms instead, and PEP 485 documents an objection to the
    sum. The sum is also strictly the more permissive combination, which
    contradicts the stricter-reading argument for a guard. Corrected to the
    max. Surfaced by being asked where the
    algorithm was documented, which is a decent argument for citing a source
    rather than asserting a consensus.

  2. Taking the larger turned a malformed input from a rejection into an
    acceptance.
    Asked how a tolerance could be negative, the honest answer was
    that it cannot — and that I had written tests defining its behaviour
    rather than rejecting it. Worse, the max change had flipped
    agree(1 -0.01 100 100.5) from 0 to 1, so a nonsense tolerance started
    failing open. Visible as a changed expectation in my own diff, asserted as
    correct. Now reverts.

  3. LibOpAgree.referenceFn did not compile — "stack too deep". Nothing
    referenced it until the test did, so it had never been codegen'd. The
    combined-tolerance rewrite hit the same wall again, which is what drove the
    split into named helpers.

  4. agree reverted for min-negative-value(). Float.abs packs the
    magnitude back into an int224 coefficient, which does not fit for the most
    negative coefficient, so it raises the exponent — and the exponent is already
    at int32 max. The result was ExponentOverflow instead of an answer. Found
    by the run-vs-reference fuzz. Fixed by taking the magnitude on the unpacked
    int256 coefficient, where negating an int224 is always exact. Covered by
    testOpAgreeEvalMinNegativeValue.

  5. run and referenceFn broke ties the opposite way round. run used
    Float.min/Float.max, which return the later argument when two values
    are numerically equal; referenceFn used strict lt/gt, which keep the
    earlier. Numerically equal values can be packed differently and the packing
    feeds the rounding, so the two implementations could disagree. run now uses
    the same strict comparisons.

  6. Slither failed on the refactor, not on the logic. Splitting the
    arithmetic into helpers introduced return f(...) on tuple-returning
    calls, which slither's unused-return detector reads as an ignored return
    value — two results, and the static CI job is a hard gate. Both now bind
    to locals and return those. Verified locally at 0 results before pushing
    rather than round-tripping through CI.

  7. A test expectation of mine was wrong, and the test caught it.
    testOpAgreeEvalMaxInputs claimed thirteen values were within 1% of the
    largest when the spread was 1.9 against a limit of 1.009. The implementation
    was right and the expectation was wrong; the values were corrected rather
    than the expectation relaxed. This is the argument for deriving boundaries
    instead of reading them off a run.

Testing

An independent oracle, plus the design claim, both tested rather than argued:

  • testOpAgreeAgainstPackedFloatOracle composes the formula from the
    packed Float API (abs, mul, sub, comparisons) instead of the unpacked
    LibDecimalFloatImplementation the word uses, over a domain of exact
    integers where both paths are lossless. This is the check run and
    referenceFn cannot provide between them, since they share agreedAt and
    so agree with each other whatever the formula says. The domain is restricted
    deliberately — widening it surfaces ulp differences in rounding rather than
    differences in the formula.
  • testOpAgreeSpreadBoundsEveryPair pins the claim that licenses looking
    at two values instead of all of them: the spread dominates every pairwise
    difference. Its scope is stated in the docstring — both sides take the limit
    from limitOf, so it pins the extremes and the spread, not the limit.
  • testOpAgreeEvalExtremeTolerance covers tolerances at the representable
    extremes, which a mint admin can configure and nothing else reached. The
    expectation is derived: mul scales the coefficient down and raises the
    exponent rather than overflowing, and limitOf never repacks, so a huge
    tolerance accepts rather than reverting.
  • testOpAgreeEvalAnchorPositionInArgumentList distinguishes the real
    anchor from anchoring on the first or last argument.
  • testOpAgreeEvalInvalidToleranceRevertsAtMaxInputs shows validation
    depends on the tolerances alone, at the largest input count.

Both differential tests fuzz their tolerances through boundTolerance rather
than the constants they were pinned to when validation landed. Fuzz parameters
are carried in a struct because six scalars alongside the values is
stack-too-deep, and the property test's list length is bounded rather than
assumed, so no run is spent on rejection.

No gas assertion is added: the repo has no snapshot convention and a bare
threshold would be brittle.

test/src/lib/op/logic/LibOp{In,Unique,Agree}.t.sol, following the LibOpMax /
LibOpAny pattern: direct integrity tests, run-vs-reference fuzz (including a
variant that forces the interesting path rather than waiting for the fuzzer to
land on it), parse-time input/output/operand errors, and eval cases covering
each tolerance's boundary separately, their sum, zero and negative tolerances,
values straddling zero, the near-zero case that motivates the absolute
tolerance, ordering, representation (1 vs 1e0), the range extremes, the
maximum input count, and the attestation checks the issue came from.

QA

  • Discriminating tests: every test in the three new files fails on base,
    where these words do not exist at all and the expressions do not parse, so
    they are discriminating by construction. Within the branch, the ones that
    discriminate this revision are testOpAgreeEvalLimitIsTheLarger (built on
    spreads that the max and the sum disagree on, in both directions),
    testOpAgreeEvalNegativeTolerance (terms dominate rather than cancel),
    testOpAgreeEvalProportionalBoundary (anchored on the largest magnitude,
    not the lowest), testOpAgreeEvalAbsoluteBoundary,
    testOpAgreeEvalNearZero and testOpAgreeEvalStraddlingZero.

  • Mutations applied: fifteen, via mutation-probe against a baseline the
    probe proved green at 253 passed. 15/15 killed, 0 survived, 0 no-run, 0
    harness errors.

    testOpAgreeAgainstPackedFloatOracle kills A02, A03, A04, A05, A06, A10,
    A11 and A14 — eight of the nine arithmetic mutants — which is the evidence
    that it is a real oracle rather than a restatement of the implementation.

    The one arithmetic mutant it does NOT kill is A01, the boundary flip.
    Random fuzz over the oracle's domain essentially never lands exactly on the
    limit, so only the hand-derived boundary assertions catch that one. The two
    kinds of test are complementary rather than redundant: the oracle catches a
    wrong formula shape anywhere in the domain, the derived boundaries catch a
    wrong edge at a single point no fuzz will reach.

    A01-A06, A10 and A11 mutate the shared arithmetic that both run and
    referenceFn call. The differential fuzz cannot kill those — both sides
    change together — so each kill is attributable to the eval assertions alone.
    That is the experiment behind the claim in the section above rather than a
    restatement of it, and the killer lists bear it out: no testOpAgreeRun
    differential appears in any of them.

    Mutant Verdict Killed by
    A01 boundary <= -> < KILLED testOpAgreeEvalAbsoluteBoundary, testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalAttestedTimes, +2
    A02 anchors on the smaller magnitude KILLED testOpAgreeEvalProportionalBoundary, testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalOrderIrrelevant, +2
    A03 drops the magnitude, anchoring on a signed value KILLED testOpAgreeEvalNegativeValues, testOpAgreeEvalStraddlingZero
    A04 drops the absolute term KILLED testOpAgreeEvalAbsoluteBoundary, testOpAgreeEvalNearZero, testOpAgreeEvalLimitIsTheLarger, +2
    A05 drops the proportional term KILLED testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalAttestedPrices, testOpAgreeEvalMaxInputs, +2
    A06 computes the spread backwards KILLED testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalAbsoluteBoundary, testOpAgreeEvalMaxInputs, +2
    A07 wrong extreme for lowest, in run only KILLED testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalAttestedPrices, testOpAgreeEvalMaxInputs, +2
    A10 SUMS the two terms (the numpy form) KILLED testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalNegativeTolerance
    A11 takes the smaller of the two terms KILLED testOpAgreeEvalLimitIsTheLarger, testOpAgreeEvalAbsoluteBoundary, testOpAgreeEvalAttestedTimes, +2
    A08 in never finds a member KILLED testOpInEval1Needle1Member, testOpInEvalAllowlist, testOpInEvalManyNeedles, +2
    A09 unique never detects a duplicate KILLED testOpUniqueEval3InputsDuplicate, testOpUniqueEvalMaxInputsFirstLastCollide, +3
    A12 stops rejecting negative tolerances KILLED testOpAgreeEvalNegativeToleranceReverts
    A15 rejects only BOTH negative, not either KILLED testOpAgreeEvalNegativeToleranceReverts
    A13 stops requiring a positive tolerance KILLED testOpAgreeEvalNoPositiveToleranceReverts
    A14 requires BOTH positive, not at least one KILLED testOpAgreeEvalAbsoluteBoundary, testOpAgreeEvalAttestedTimes, testOpAgreeEvalMaxInputs, +2

    A10 is the mutant that matters most here, because it reverts exactly the
    design decision this revision makes. It dies, so the choice of max over sum
    is pinned by tests rather than resting on the docstring.

    Twice during this work a mutant came back as a harness error — "target
    occurs 0x, mutates nothing"
    — because forge fmt had rewrapped the line
    after the config was written. Reported here because a mutation config that
    silently matches nothing is the failure mode that makes a probe look like
    evidence while testing nothing. The tool named it both times instead of
    scoring a kill; the table above is the run after fixing the targets, and the
    config now carries a comment to copy targets out of the formatted file.

  • Oracle: for the min/max walk, referenceFn against run under the
    existing opReferenceCheck fuzz — genuinely independent there, and what
    caught the tie-break divergence. For the arithmetic it is explicitly not
    an oracle (see above), and the eval expectations are hand-derived from
    highest - lowest <= max(absolute, proportional * max(abs(value))) before
    running. Where a derived expectation disagreed with the implementation, the
    disagreement was diagnosed rather than papered over: one such case was my
    arithmetic error, corrected in the test; two earlier ones were real defects.

  • Category check: the issue asks for in, unique and a tolerance word.
    All three are covered. The issue's rounding-direction requirement is
    deliberately NOT carried over to agree — see "Precision, and no promised
    rounding direction" — and stays with the leaky bucket, where error
    accumulates. agree's tolerance shape deviates from the issue's
    original wording (proportional, relative to the lower value); that deviation
    is deliberate, reasoned above, and is the thing to read before merging.

Verification

Verification

  • forge build: clean. forge fmt: applied. slither .: 0 results (2 before the fix in point 6).
  • Logic suite (test/src/lib/op/logic/*.t.sol): 253 passed, 0 failed.
  • forge test (full): 1564 passed, 6 failed. All six are
    vm.envString: environment variable "ARBITRUM_RPC_URL" not found raised in
    the constructors of fork-based math tests (LibOpExp, LibOpExp2, LibOpGm,
    LibOpPower, LibOpSqrt, LibOpExponentialGrowth), before any test body
    runs. This diff touches none of them. Environmental; CI sets the variable.
    The count drops from 1582 because agree-absolute's 19 tests are deleted
    along with the word, then rises as the tolerance rules gain their own tests.
  • Regeneration pipeline re-run per CLAUDE.md — rainlang-prelude,
    forge script --silent ./script/Build.sol, forge fmt — and git status
    came back clean, so there is no pointer or meta churn. (Expected: the
    generated tables are the reference extern's own word set, which
    ALL_STANDARD_OPS_LENGTH does not feed.)

🤖 Generated with Claude Code

Summary by CodeRabbit

  • New Features
    • Added agree to check whether a set of values falls within absolute or proportional tolerance limits.
    • Added binary-in to check whether every specified value appears in a set, using exact binary equality.
    • Added binary-unique to check whether all values are distinct, using exact binary equality.
  • Validation
    • Invalid configurations are rejected, including negative or jointly zero tolerances, and membership checks with zero specified values.

Four words for `ensure` predicates, all in `src/lib/op/logic/`. They come
from an on-chain check that reads several independently signed attestations
of a stock price and decides whether to accept them, where each of them
replaces a form that was awkward or easy to get wrong.

`in<n>(needle... member...)` is set membership. The operand is the needle
count: the first n inputs are the needles and every subsequent input is a
member of the one set they all have to be in. Without the operand there is
nothing marking where the needles end and the set begins, so it is required
rather than defaulted, and zero needles is rejected at deploy time with a
new `InNeedlesZero` because it would make the check vacuously true.
Integrity requires at least one more input than there are needles, so the
set is never empty. Replaces nested `any(equal-to(x a) equal-to(x b) ...)`,
one call per needle.

`unique(a b ...)` is 1 when every input is numerically distinct from every
other, and takes a minimum of 2 inputs. It is the matched pair of
`equal-to`: one asserts every input is the same, the other that every input
differs. Replaces pairwise `is-zero(equal-to(a b))`, which is quadratic in
the number of values and easy to leave incomplete.

`agree(tolerance a b ...)` is 1 when `highest - lowest <= tolerance *
abs(lowest)`. `agree-absolute(tolerance a b ...)` is 1 when `highest -
lowest <= tolerance`. Both take a minimum of 3 inputs, a tolerance and two
values, because one value trivially agrees with itself.

The spread and the limit are compared at `LibDecimalFloatImplementation`
level and neither is packed back into a `Float`, so the comparison happens
at full internal precision. For values that share a sign, which is the
domain these words exist for, every truncation that remains rounds toward
rejecting.

The magnitude in `agree` is taken on the unpacked coefficient rather than
with `Float.abs`. An unpacked coefficient is an int224 widened to an int256
so negating it is always exact, where `Float.abs` has to pack the magnitude
back into an int224 and raises the exponent to do so, reverting with
`ExponentOverflow` for `min-negative-value()`.

Both `agree` words break ties between numerically equal values with strict
comparisons rather than `Float.min`/`Float.max`, so `run` and the reference
implementation select the same representation. Numerically equal values can
be packed differently and the packing feeds the rounding.

`ALL_STANDARD_OPS_LENGTH` goes 73 -> 77.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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📥 Commits

Reviewing files that changed from the base of the PR and between 897355a and f8d2faa.

📒 Files selected for processing (9)
  • src/error/ErrIntegrity.sol
  • src/lib/op/LibAllStandardOps.sol
  • src/lib/op/logic/LibOpAgree.sol
  • src/lib/op/logic/LibOpBinaryIn.sol
  • src/lib/op/logic/LibOpBinaryUnique.sol
  • src/lib/parse/LibParseOperand.sol
  • test/src/lib/op/logic/LibOpBinaryIn.t.sol
  • test/src/lib/op/logic/LibOpBinaryUnique.t.sol
  • test/src/lib/parse/LibParseOperand.handleOperandSingleFullDefaultOne.t.sol
🚧 Files skipped from review as they are similar to previous changes (3)
  • src/error/ErrIntegrity.sol
  • src/lib/op/logic/LibOpAgree.sol
  • src/lib/op/logic/LibOpBinaryIn.sol

Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review.


📝 Walkthrough

Walkthrough

Adds agree, binary-in, and binary-unique to the standard logic opcodes. agree compares value spread against absolute and proportional tolerances. The other opcodes check membership and distinctness using bitwise equality.

Changes

Logic predicates

Layer / File(s) Summary
Implement and test agree
src/error/ErrEval.sol, src/lib/op/logic/LibOpAgree.sol, test/src/lib/op/logic/LibOpAgree.t.sol
Adds tolerance validation and a comparison against the greater of the absolute tolerance and proportional tolerance times the largest-magnitude value. Tests cover the comparison formula, input cases, and tolerance boundaries.
Implement and test binary-in
src/error/ErrIntegrity.sol, src/lib/op/logic/LibOpBinaryIn.sol, test/src/lib/op/logic/LibOpBinaryIn.t.sol
Adds an operand-based membership check. Every needle must match a set member by exact binary equality. Integrity validation rejects zero needles and requires a nonempty set.
Implement and test binary-unique
src/lib/op/logic/LibOpBinaryUnique.sol, test/src/lib/op/logic/LibOpBinaryUnique.t.sol
Adds a variadic check that returns true only when all inputs are bitwise distinct. Integrity validation requires at least two inputs.
Register standard opcodes
src/lib/op/LibAllStandardOps.sol, src/lib/parse/LibParseOperand.sol, test/src/lib/op/LibAllStandardOps.t.sol, test/src/lib/parse/LibParseOperand.handleOperandSingleFullDefaultOne.t.sol
Registers all three opcodes in authoring metadata, operand handling, integrity, and runtime tables. Adds a full operand handler that defaults to one. Updates the opcode count and ordering expectations.

Priority: ➖ Normal

Estimated code review effort: 3 (Moderate) | ~25 minutes

Change: Feature

Merge Risk: ⚪ Minimal · up to f8d2f

No established defect blocks merging. Confirm the intended agree behavior for values spanning zero before publication.

Architecture Summary

Architecture risk: 🔵 Low · up to f8d2f

The change affects 2 systems.

Changed systems: src, test

Architecture concerns
No architecture-level concerns identified.

Review details

Systems and components

  • observed — src (service) was modified; 7 changed files map to changed impact.
  • observed — test (service) was modified; 5 changed files map to changed impact.

Before / after behavior

  • observed — Modified behavior in src/error/ErrEval.sol: Added declarations for AgreeToleranceNegative() and AgreeNoPositiveTolerance(), with documentation describing the tolerance conditions they represent.
  • observed — Modified behavior in test/src/lib/op/logic/LibOpAgree.t.sol: Added helpers to bound fuzzed tolerances to nonnegative coefficients and exponents from -20 to 20, ensure at least one tolerance is positive, select 2–8 fuzzed values, find their extremes, and compare pairwise spreads against a rescaled global limit.
  • observed — Modified behavior in test/src/lib/op/logic/LibOpAgree.t.sol: Runtime/reference tests now replace the first two fuzzed inputs with bounded tolerances before comparison; the equal-values case still sets every value after the tolerances to the same value. Added a bounded test for input lists of 2–8 values that compares the extreme-pair result against every pair using the same limit.
  • observed — Modified behavior in test/src/lib/op/logic/LibOpAgree.t.sol: Added an independent packed-float oracle for the maximum of the absolute tolerance and the proportional tolerance times the largest endpoint magnitude, plus a fuzz test over bounded integer values and tolerances that compares this result with LibOpAgree.agreedAt. The pairwise property test checks equivalence against the same global limit, not the formula itself.
🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Linked Issues check ⚠️ Warning Issue [#590] requires in, unique, proportional agree relative to the lower value, and separate agree-absolute behavior. The reviewed head registers binary-in and binary-unique instead of t… Implement and register the required in and unique interfaces, or obtain explicit acceptance for the renamed interfaces. Implement proportional agree relative to the lower value. Add and register separate agree-absolute behavior. Upd…
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly identifies the three main words added by the pull request: membership, uniqueness, and agreement. It is concise and related to the changeset.
Out of Scope Changes check ✅ Passed The opcode implementations, operand handling, errors, registration updates, metadata, and tests all support the membership, distinctness, and agreement feature described by issue [#590]. The naming an…
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff. Analyzed 0 functions across 0…
Full details: Linked Issues check

Explanation

Issue [#590] requires in, unique, proportional agree relative to the lower value, and separate agree-absolute behavior. The reviewed head registers binary-in and binary-unique instead of the requested words. agree requires two tolerances and uses max(absolute, proportional * largest magnitude), which differs from the issue formula. No agree-absolute word is registered. The tests cover the implemented interfaces and formulas, but they do not satisfy these requirements.

Resolution

Implement and register the required in and unique interfaces, or obtain explicit acceptance for the renamed interfaces. Implement proportional agree relative to the lower value. Add and register separate agree-absolute behavior. Update integrity, evaluation, registration, and automated tests for those interfaces and formulas.

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@thedavidmeister

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Reviewed 5fa8d84: four new words, 11 files, +1472/-47. Recommend merge, with one structural note and three design questions the body already raises.

Scope of what I checked

Four new op libraries (LibOpIn, LibOpUnique, LibOpAgree, LibOpAgreeAbsolute), their registration in LibAllStandardOps (ALL_STANDARD_OPS_LENGTH 73 → 77, four parallel arrays), one new error in ErrIntegrity, and five test files. Purely additive to the word set — no existing op's behaviour changes, and the only edit to an existing test file is the word-index assertions moving to accommodate the new entries.

I read LibOpAgree in full, the comparison block of LibOpAgreeAbsolute, and the run bodies of LibOpIn and LibOpUnique. I re-ran the suite and ran my own mutation probe rather than relying on the QA block.

The structural note: run and referenceFn share the arithmetic

In LibOpAgree, the computation in run (lines 107–136) and in referenceFn (lines 169–199) is the same sequence of calls — same LibDecimalFloatImplementation.sub, same mul with the same unpacked-coefficient magnitude, same compareRescale, same <=. Diffing them with comments and whitespace stripped leaves only indentation.

So opReferenceCheck is not an independent oracle for the formula. It is independent for the min/max walk, which genuinely differs between the two (pointer arithmetic versus array indexing), and that is what caught the tie-break divergence the body reports. But a wrong agree expression would appear identically in both and the differential would pass.

That matters because the arithmetic is where the subtlety is: the rounding direction, the magnitude handling, the boundary.

Tested rather than asserted. I mutated run only, leaving referenceFn intact, so the probe's killer names would say which tests actually caught each one. If a mutant were killed solely by testOpAgreeRunVariadic, the eval assertions would not be pinning that behaviour.

They are. The eval tests name themselves as killers on every arithmetic mutant:

Mutant (applied to run only) Verdict Killed by
agreed = rescaledSpread <= rescaledLimit → < KILLED testOpAgreeEvalBoundary, testOpAgreeEvalMaxInputs, testOpAgreeEvalNegativeValues, testOpAgreeEvalNumericalEquality, testOpAgreeEvalOrderIrrelevant
magnitude dropped, proportion taken of a signed lowest KILLED testOpAgreeEvalMinNegativeValue, testOpAgreeEvalNegativeValues, testOpAgreeEvalStraddlingZero, plus the fuzz
value.lt(lowest) → value.gt(lowest) KILLED testOpAgreeEvalAttestedPrices, testOpAgreeEvalBoundary, testOpAgreeEvalMaxInputs, testOpAgreeEvalMaxPositiveValue, testOpAgreeEvalMinNegativeValue
agree-absolute boundary <= → < KILLED testOpAgreeAbsoluteEvalBoundary, testOpAgreeAbsoluteEvalAttestedTimes, testOpAgreeAbsoluteEvalMagnitudeIrrelevant, and two more
in never sets found KILLED testOpInEval1Needle1Member, testOpInEvalAllowlist, testOpInEvalManyNeedles, testOpInEvalMaxInputs
unique never sets false KILLED testOpUniqueEval2InputsNumericallyEqual, testOpUniqueEval3InputsDuplicate, testOpUniqueEvalMaxInputsFirstLastCollide

6/6 killed, 0 survived, 0 no-run, 0 harness errors, against a baseline the probe proved green at 266 passed. So the concern is latent rather than live: the eval assertions cover the formula independently of the reference implementation. Worth keeping in mind if anyone later "simplifies" those eval tests toward the differential.

The boundary test in particular is derived rather than observed, which is what makes it able to kill A01:

// 101 - 100 == 1 == 0.01 * 100.
checkHappy("_: agree(0.01 100 101);", bytes32(uint256(1)), "1% spread against a 1% tolerance");
// One unit in the last place over the limit is rejected.
checkHappy("_: agree(0.01 100 101.000000000000000001);", 0, "a hair over a 1% tolerance");

What I checked in the source and am satisfied by

  • The magnitude on the unpacked coefficient rather than Float.abs is correct and the NatSpec justifies it properly. Float.abs repacks into an int224, which cannot hold the most negative coefficient and so raises the exponent — reverting ExponentOverflow when the exponent is already at int32 max. A guard reading min-negative-value() should answer 0, not revert. Pinned by testOpAgreeEvalMinNegativeValue.
  • Intermediates never packed back into a Float. The comparison runs on raw coefficient/exponent pairs through compareRescale, so the only lossy steps are the sub and the mul, and the NatSpec argues each one's direction. That argument holds for same-sign values, which is the domain the word exists for.
  • The tie-break comment (strict lt/gt keeping the first representation seen) explains a real defect rather than restating the code.
  • Integrity floors are 2 for unique and 3 for the agree pair, so a one-value call — which agrees with itself vacuously — is rejected rather than silently passing. in reverting InNeedlesZero() on a zero needle count is the same instinct.
  • agree-absolute correctly omits the multiplication and compares the spread against the tolerance directly.

Design questions — the body raises all three, I have no answer to add

  1. abs(lowest) when the lowest is negative. Without it, any set with a negative lowest is rejected outright including identical values. With it, the proportion is of a magnitude.
  2. Values straddling zero. agree(0.01 -1 1) is 0 and agree(2 -1 1) is 1 — the formula applied literally rather than a considered answer. A lowest of exactly zero collapses the limit to zero whatever the tolerance, so agree(0.01 0 1) is 0. Current behaviour is locked in by testOpAgreeEvalStraddlingZero and testOpAgreeEvalZeroLowest, so changing the answer changes those tests.
  3. in's operand required versus defaulting to one needle.

Validation basis

Ran: the logic suite (266 passing baseline, proved by the probe), and the six mutants above via mutation-probe with a mutants.toml I wrote as a reviewer rather than reusing the author's. Working tree verified byte-exact after every restore.

Trusted without re-running: the author's full-suite figure and the regeneration check. CI is green on all five checks at this head, including git-clean / copy-artifacts, which covers the regeneration independently.

Caveat

This is a first non-exhaustive layer. I probed the arithmetic and the two set-membership behaviours; I did not probe the operand decoding, the stack pointer arithmetic, or LibAllStandardOps array alignment, and the filesystem-ordering test is the only thing pinning that the four new files sort into the positions they are registered at.

@thedavidmeister

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Correcting my own recommendation above.

I wrote "recommend merge" and then listed three undecided semantic questions and an incomplete probe. Those are inconsistent, and the merge call was the wrong half.

The deciding fact: this repo autopublishes to Soldeer on every merge to main (rainix-autopublish, per CLAUDE.md). Merging does not land these words pending refinement — it releases them. Changing agree's answer for values straddling zero, or for a lowest of exactly zero, is then a breaking change to a published package rather than an edit to unreleased code.

And those answers are explicitly undecided. From the PR body itself, agree(0.01 -1 1) is 0 and agree(2 -1 1) is 1 — "the formula applied literally rather than a considered answer" — and a lowest of exactly zero collapses the limit whatever the tolerance. testOpAgreeEvalStraddlingZero and testOpAgreeEvalZeroLowest now pin all of it, so the tests make the undecided answer permanent and publishing makes revisiting it costly.

Revised recommendation: hold until the three design questions in the body are ruled on. Specifically the two agree ones; in's required-versus-defaulting operand is lower stakes because it only ever makes a previously-parsing expression fail loudly.

Nothing above this changes. The implementation is sound, the mutation evidence stands (6/6 killed, every arithmetic mutant named by eval tests rather than only the differential), and there is no defect to fix. The objection is to the timing, not the code: this is a word going into a language with a consumer already written against it in S01-Issuer/st0x.attest, and its edge semantics should be somebody's decision before they are a release.

`agree` now always takes two tolerances, an absolute one then a
proportional one, followed by the values. The check becomes
`highest - lowest <= absolute + proportional * max(abs(value))`.

A proportional tolerance alone collapses as the values approach zero,
because the anchor shrinks with them: -0.001 and 0.001 read as 200%
apart while agreeing by any practical measure, and no anchor drawn from
the values avoids it. An absolute tolerance alone does not scale. The
sum covers the whole domain and is the standard form for comparing
floats with a tolerance. Neither defaults, so an expression wanting only
one writes the other as zero rather than inheriting it.

The anchor is the largest magnitude across the whole list rather than
one per pair, which is what makes a single highest-to-lowest check
equivalent to checking every pair: the spread is the largest pairwise
difference, so bounding it bounds all of them.

`agree-absolute` is removed. It is now `agree` with a proportional
tolerance of zero, so ALL_STANDARD_OPS_LENGTH goes 77 -> 76.

The arithmetic moves into shared `spreadOf`/`anchorOf`/`limitOf`/
`agreedAt` helpers used by both `run` and `referenceFn`, so the two
cannot drift apart on the formula. That makes explicit what the
differential check actually exercises: the min/max walk, pointer
arithmetic against array indexing. The formula is pinned by the eval
assertions instead, whose boundaries are derived rather than observed.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
@thedavidmeister thedavidmeister changed the title feat: in, unique, agree and agree-absolute words feat: in, unique and agree words Sep 24, 2026
thedavidmeister and others added 9 commits September 24, 2026 23:49
Slither's unused-return detector reads `return f(...)` on a
tuple-returning call as an ignored return value, which failed the static
CI job on `spreadOf` and `limitOf`. Both now bind the result to locals
and return those. No behaviour change; the logic suite stays at 247
passing and slither goes from 2 results to 0.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The limit becomes `max(absolute, proportional * anchor)` in place of
`absolute + proportional * anchor`.

The sum is the more permissive of the two. For non-negative terms
`max(a, b) <= a + b`, with equality only when one is zero, so the sum
accepts everything the max accepts and up to twice as much where the two
terms are of similar size. `agree` is a guard that is specified to round
against the caller, so the more permissive combination was the wrong one.

This is also the form Python's `math.isclose` (PEP 485) and Julia's
`isapprox` use; `numpy.isclose` sums instead, and PEP 485 rejects that on
the grounds that two tolerances of similar magnitude then allow about
twice the intended difference. The previous revision had taken numpy's
combination with PEP 485's anchor without comparing the two.

Expressions that set only one tolerance are unaffected, because
`max(x, 0) == x + 0`. Only calls with both tolerances nonzero change, so
just two tests move: the one that pinned the sum, now rebuilt around
spreads that the sum and the max disagree on in both directions, and the
negative-tolerance one, since terms no longer cancel — a negative
tolerance is now dominated by a non-negative one rather than subtracting
from it.

Taking the larger of two terms is exact, so this also removes a lossy
operation from the limit rather than adding one.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Two new runtime errors in ErrEval, both raised from a shared
`validateTolerances` that `run` and `referenceFn` reach through
`agreedAt`, so the two cannot diverge on it.

AgreeToleranceNegative. A spread is a distance and so never negative,
which makes a negative tolerance meaningless rather than merely strict.
It is representable only because floats are signed, and it arrives as a
typo or a miscomputed constant.

Taking the larger of the two terms made this worse rather than
harmless, which is what prompted the check: a negative tolerance is
simply dominated by the other term, so `agree(1 -0.01 100 100.5)`
answered 1. The previous sum form had let the negative term poison the
limit and fail closed, so that call answered 0. The change to `max`
turned a garbage input from a rejection into a silent acceptance — a
guard succeeding on malformed input, which is the one outcome a guard
must not have.

AgreeTolerancesZero. Both tolerances zero makes the limit zero, i.e. an
exact equality check, which is what the now-variadic `equal-to` is for.
It means the wrong word was written rather than that a tolerance of
nothing was wanted. EITHER tolerance alone may still be zero; that is
how an expression asks for only the other, and it is what both of the
spec's example calls do.

Sign and zero-ness live entirely in a float's coefficient, so the
exponent is not read and `0`, `0e0` and `0.0` are caught alike.

The two fuzzed run tests now set fixed valid tolerances instead of
fuzzing them, since random floats are negative about half the time. That
costs the differential nothing: what it tests is the min/max walk over
the values, which the tolerances take no part in.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Renames AgreeTolerancesZero to AgreeNoPositiveTolerance and tests
`<= 0 && <= 0` rather than `== 0 && == 0`.

The two are equivalent as the code stands, because the negative check
runs first and leaves both coefficients non-negative. They stop being
equivalent if that check is ever moved or removed, and only one of them
states the actual invariant: AT LEAST ONE TOLERANCE MUST BE POSITIVE.
The previous form described one case that violates the rule instead of
the rule itself, and depended on ordering to be correct at all.

No behaviour change on any valid input. Either tolerance alone may still
be zero, which is what both of the spec's example calls do.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Reading only the coefficient out of `unpack()` discards the exponent,
and slither reads a partly ignored tuple return as `unused-return` —
two results, and the static CI job is a hard gate. Comparing against a
zero `Float` with `lt` and `gt` avoids the unpack entirely.

It also says the rule more directly. `!absolute.gt(zero) &&
!proportional.gt(zero)` is "neither tolerance is positive", which is the
negation of the invariant, where the coefficient form described one
case that violates it.

No behaviour change. Sign and zero-ness live in the coefficient, so the
comparisons answer identically, and both remain numerical so `0`, `0e0`
and `0.0` are still treated alike. Verified locally: slither 2 results
to 0, logic suite 248 passing either way.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
1. testOpAgreeAgainstPackedFloatOracle. The formula composed from the
   packed `Float` API instead of the unpacked implementation the word
   uses, over a domain where both paths are exact. This is the check
   `run` and `referenceFn` could not provide between them: they share
   `agreedAt`, so they agree with each other whatever the formula says.
   The domain is restricted deliberately — widening it would surface ulp
   differences in rounding rather than differences in the formula.

2. testOpAgreeSpreadBoundsEveryPair. The design claim that licenses
   looking at two values instead of all of them: the spread dominates
   every pairwise difference. Scope is stated in the docstring — both
   sides share `limitOf`, so this pins the extremes and the spread, not
   the limit.

3. testOpAgreeEvalExtremeTolerance. Tolerances at the representable
   extremes were untested, and a mint admin can configure them.
   Expectation derived from `mul` scaling the coefficient down and
   raising the exponent rather than overflowing, plus `limitOf` never
   repacking: a huge tolerance accepts rather than reverting. Confirmed.

4. testOpAgreeEvalAnchorPositionInArgumentList. Distinguishes the real
   anchor from anchoring on the first or last argument, which the
   ordering test alone did not.

5. testOpAgreeEvalInvalidToleranceRevertsAtMaxInputs. Validation depends
   on the tolerances alone, so it reverts at the largest input count too.

The two differential tests fuzz their tolerances again, through
`boundTolerance`, instead of the constants I pinned them to when
validation landed. Fuzz parameters move into a struct because six
scalars plus the values is stack-too-deep, and the list length in the
property test is bounded rather than assumed so no run is wasted on
rejection.

No gas assertion: the repo has no snapshot convention and a bare
threshold would be brittle.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
A rounding direction earns its place where error accumulates. The leaky
bucket is touched by every mint, so a consistent bias there compounds
across many of them and the direction is a real safety property.

Nothing accumulates in `agree`. It answers 0 or 1 into an `ensure`, so a
biased answer cannot be repeated for gain. Biasing one would mean placing
the spread within an ulp at ~76 significant digits of the limit, which
requires controlling independently signed attestations to that precision,
against a limit the mint admin chose with orders of magnitude more slack
than the error.

So the promise bought no safety, and it committed the word to something
that does not hold uniformly: the subtraction truncates away from zero
for same-signed values and toward it for values straddling zero. That
exception was the only place the implementation knowingly departed from
the stated rule, and it was the one behaviour here with no test — the
rule created the exception rather than the arithmetic having a defect.

Replaced with what is true and useful: the comparison runs at full
internal precision, nothing is repacked, and the answer is exact except
within about an ulp of the boundary.

No behaviour change and no test changes, which is itself the evidence
that the direction was never pinned by anything.

The max-over-sum decision is unaffected. It rests on PEP 485's own
objection and on the larger being the stricter of the two readings,
neither of which appealed to the rounding rule.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Numeric checks are only for numerics; strings and other identities get
binary checks.

Both words exist to compare IDENTITIES — signers against an allowlist,
signers filling distinct seats. Numerical equality decodes each word as
a Rain Float and compares the values, and two distinct words can decode
to the same number: a coefficient and exponent of (100, 0) is
numerically equal to (10, 1).

That is not a weaker check, it is the wrong one. A numerically checked
allowlist can admit something that was never on it. A numerically
checked uniqueness assertion can reject two distinct signers as
duplicates, or accept the same signer twice when the two copies are
packed differently. Both failures are silent.

So the comparison is now bit for bit, matching binary-equal-to, and the
names say so. They drop Float entirely and compare bytes32 directly.

The `binary-` prefix moves both words alphabetically, from 37 and 41 to
30 and 31, so all four parallel arrays in LibAllStandardOps and the
word-index assertions are reordered. ALL_STANDARD_OPS_LENGTH stays 76.
InNeedlesZero becomes BinaryInNeedlesZero.

The two tests that pinned numerical semantics are rewritten rather than
inverted: binary-in<1>(0x01 10e-1) is now 0 and
binary-unique(0x01 10e-1) is now 1, built on the literal pair
binary-equal-to's own tests already establish as numerically equal and
bitwise distinct.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

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Actionable comments posted: 1


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In `@src/lib/op/LibAllStandardOps.sol`:
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Comment thread src/lib/op/LibAllStandardOps.sol Outdated
thedavidmeister and others added 5 commits September 25, 2026 11:51
`binary-in(x a b c)` now asks whether x is in (a b c), instead of
failing to parse. The single needle case is the common one and reads
better without the operand.

An explicit zero is NOT a way of writing the default. A new
`handleOperandSingleFullDefaultOne` substitutes 1 only when the operand
is absent, and passes an explicit 0 straight through to the integrity
check, which still reverts BinaryInNeedlesZero. Reusing
`handleOperandSingleFull` would have defaulted to 0 and made the two
cases indistinguishable, so an explicit zero would have been silently
reinterpreted as one needle rather than rejected.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The operand field holds a uint16, but an opcode takes at most 15 inputs
and the set needs at least one of them. A larger count asks for more
inputs than an opcode can carry and is reported as BadOpInputsLength at
deploy time. Undocumented until now.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
… the code

From an independent review of the branch.

1. `handleOperandSingleFullDefaultOne` had no test file, against a clear
   per-handler convention in this repo, and its `OperandOverflow` branch
   was covered nowhere in the suite. That branch matters: the parser ORs
   a handler's result into the source word unmasked, and bit 16 is the
   low bit of the IO byte carrying the input count, so a needle count
   that does not fit 16 bits would corrupt its neighbour instead of
   failing. Adds the handler test, including that an explicit zero is
   passed through rather than substituted with the default, plus a
   `binary-in<65536>` eval case.

2. Three docstrings asserted the opposite of what their own tests
   assert, on the one semantic this PR turns on. Two said membership and
   distinctness were numerical, directly above assertions proving they
   are binary; a third said the operand was required, above a test named
   for it defaulting. A reader trusting them reaches for numerical
   equality on identities, which is the bug the library docstrings exist
   to prevent. Also two `in` references the rename missed.

3. `LibOpAgree.run` claimed the tie break had to match `referenceFn` or
   the limit's rounding would differ. Mutating it leaves the suite green
   and no input makes it matter: `mul` is invariant under factor-of-ten
   repackings and `sub` maximizes both operands first. True of an
   earlier revision that anchored on the lowest value's packing, carried
   forward after it stopped being true. Restated as consistency.

The review found no correctness defect in any of the three words, and
killed 17 of 19 mutants against LibOpAgree with an oracle built from
plain integer arithmetic sharing nothing with the float library.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
CodeRabbit caught a wrong example in the authoring meta: it claimed `1`
and `1.0` are distinct under binary comparison. They are not. The
decimal parser strips trailing fractional zeros, so both parse to the
same word and `binary-unique(1 1.0)` is 0.

The same wrong example was also in the library docstring, which
CodeRabbit did not flag. Both now use `0x01` and `10e-1` — the pair the
tests already use, and the one `binary-equal-to`'s own tests establish
as numerically equal and bitwise distinct — and both now say the
comparison is of the parsed word rather than of how the number was
written.

Pinned by `testOpBinaryUniqueEvalTrailingZerosAreTheSameWord`, added to
verify the claim rather than take it on faith. It passes, so the report
was correct.

No behaviour change; the tests were already using the right pair.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`agree(0 p 1 -1)` accepts only at p >= 2. The spread is 2 while the
anchor is 1, so values symmetric about zero are the furthest apart
anything can be relative to its own magnitude, and a proportional
tolerance has to reach 200% to cover them. A tolerance of 100% does not,
which reads as surprising when both values have magnitude 1.

This is the case the absolute term exists for, and it was untested. It
is also the only case where the two magnitudes are exactly equal, so the
anchor tie break fires; the reversed argument order pins that it does
not change the answer.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
thedavidmeister and others added 3 commits September 26, 2026 10:29
The natspec argued for taking the larger of the two tolerance terms by
comparing `math.isclose`, `isapprox` and `numpy.isclose`, quoting PEP 485
on why summing is wrong, and concluding that a guard should take the
stricter reading. Those are other languages' libraries; they are not why
this word does it, and the paragraph above already makes the case on the
word's own terms — a proportional tolerance collapses near zero, an
absolute one does not scale, and taking the larger covers both regions.

The external implementations stay as a one-line pointer for a reader who
wants prior art. The discussion comparing them is gone.

Comments only.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
…metic

`rain-math-float` 0.2.3 ships `LibDecimalFloat.agree`, so the word no
longer needs its own copy. `spreadOf`, `anchorOf` and `limitOf` are gone
and `agreedAt` is now the validation plus one call:

    validateTolerances(absolute, proportional);
    return LibDecimalFloat.agree(absolute, proportional, lowest, highest);

The word keeps what is the word's business — the operand decode, the
pointer walk that finds the extremes, the integrity check, and the
tolerance validity rules. It loses what was only ever the float library's
business, and with it the `LibDecimalFloatImplementation` import: the
opcode no longer reaches below that library's public surface at all,
which is the whole reason for moving `agree` there.

`validateTolerances` stays here. Rejecting a negative tolerance, and
requiring at least one positive, is this word's rule; the library
deliberately leaves tolerance validity to its caller.

322 -> 236 lines in the opcode, and the arithmetic now sits where its
tests, its 12/12 mutation coverage and its documented precision contract
already are.

Behaviour is unchanged, which the existing tests establish rather than
assert: all 37 in `LibOpAgree.t.sol` pass untouched, including
`testOpAgreeSpreadBoundsEveryPair` and
`testOpAgreeAgainstPackedFloatOracle` — the two that would catch a
changed answer.

Two tests needed the deleted helpers, so the arithmetic they were
borrowing moved into the test file: `withinLimit` inlines the
subtraction, and a new `limitFor` computes the limit the pairwise test
checks each pair against. Unpacked, because the fuzzed values are
arbitrary bit patterns and the packed `abs` reverts at the range
extremes.

`src/generated/RainlangReferenceExternPointers.sol` is regenerated via
`script/Build.sol`. The reference extern embeds the float library, so
bumping it changes that bytecode and its pinned hash. Regenerated rather
than hand-edited, since the file says not to edit it and CI's git-clean
job rebuilds it and fails on any diff.

The 0.2.1 -> 0.2.3 bump rewrites the import path in 104 files. That is
mechanical churn from soldeer putting the version in the path, not
intent.

228 suites, 1635 passing. The 6 failures are `ARBITRUM_RPC_URL` fork
tests with no env var locally; CI holds that secret. Lint and fmt clean.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
… now

`rain-math-float` 0.2.4 rejects a negative tolerance and rejects a pair
with no positive tolerance inside `LibDecimalFloat.agree`, so this word's
copy is redundant. With validation gone `agreedAt` was a pure
pass-through, so it goes too: `run` and `referenceFn` call
`LibDecimalFloat.agree` directly.

`AgreeToleranceNegative` and `AgreeNoPositiveTolerance` are removed from
`ErrEval.sol`. The word no longer declares them; the library's versions
are what revert, and they carry the offending tolerances where rainlang's
took no arguments, so the eval assertions now check the reported values
as well as the selector.

Splitting the guard from the arithmetic was the mistake this undoes. The
guard belonged with `agree` from the moment `agree` moved, because any
other consumer calling the library directly got no guard at all.

322 -> 180 lines across the two commits. What is left is what the word
actually owns: the operand decode, the pointer walk for the extremes, the
integrity check, and the call.

229 suites, 1636 passing. The 6 failures are `ARBITRUM_RPC_URL` fork tests
with no env var locally. `src/generated/` is unchanged, correctly — the
reference extern embeds the float library but does not use `agree`, so
0.2.3 to 0.2.4 moves no bytecode it depends on. Lint and fmt clean.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
thedavidmeister and others added 3 commits September 29, 2026 18:04
0.1.2 imports `rain-math-float-0.2.1` while this repo pins 0.2.4, and
soldeer holds one version per package, so the compile failed on
`ErrDecimalFloat.sol` resolving to two different packages. 0.1.3 is built
against 0.2.4.

It also carries `agree` on the `DecimalFloat` concrete and the tolerance
guards in `LibDecimalFloat.agree`, which is what `LibOpAgree` now calls
instead of doing the arithmetic itself.

The lockfile entry for 0.1.2 was removed so soldeer would re-resolve;
leaving it in place made `forge soldeer install` fail with `dependency not
found: rain-math-float-deploy~0.1.3` even with the manifest bumped.

`forge build --force`: 521 files, successful. `forge test`: 1636 passed, 6
failed on missing `ARBITRUM_RPC_URL`.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Soldeer puts the version in the import path, so bumping the manifest left
six files importing
`rain-math-float-deploy-0.1.2/src/lib/deploy/LibDecimalFloatDeploy.sol`,
which no longer exists after the install.

My local build did not catch it. The 0.1.2 directory was still on disk from
the previous install and the imports resolved against it, so `forge build
--force` compiled 521 files and passed while CI, with a clean checkout,
failed on all six. Removed it, rebuilt on 0.1.3 alone: 517 files,
successful.

`forge test`: 1636 passed, 6 failed on missing `ARBITRUM_RPC_URL`, the same
six as before this change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`remappings.txt` is committed and `forge soldeer install` only adds lines,
never prunes them, so it still mapped `rain-math-float-0.2.1/` and
`rain-math-float-deploy-0.1.2/` to directories no install writes any more.
Nothing in `src`, `test` or `script` imports either.

Dead rather than harmful — an import through one fails to resolve rather
than resolving wrongly — but it is the same leftover that made the 0.1.2
imports compile locally while CI could not see them.

`forge build --force` with only the two live mappings: 517 files,
successful.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
@thedavidmeister
thedavidmeister merged commit d88faf2 into main Sep 29, 2026
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@coderabbitai assess this PR size classification for the totality of the PR with the following criterias and report it in your comment:

S/M/L PR Classification Guidelines:

This guide helps classify merged pull requests by effort and complexity rather than just line count. The goal is to assess the difficulty and scope of changes after they have been completed.

Small (S)

Characteristics:

  • Simple bug fixes, typos, or minor refactoring
  • Single-purpose changes affecting 1-2 files
  • Documentation updates
  • Configuration tweaks
  • Changes that require minimal context to review

Review Effort: Would have taken 5-10 minutes

Examples:

  • Fix typo in variable name
  • Update README with new instructions
  • Adjust configuration values
  • Simple one-line bug fixes
  • Import statement cleanup

Medium (M)

Characteristics:

  • Feature additions or enhancements
  • Refactoring that touches multiple files but maintains existing behavior
  • Breaking changes with backward compatibility
  • Changes requiring some domain knowledge to review

Review Effort: Would have taken 15-30 minutes

Examples:

  • Add new feature or component
  • Refactor common utility functions
  • Update dependencies with minor breaking changes
  • Add new component with tests
  • Performance optimizations
  • More complex bug fixes

Large (L)

Characteristics:

  • Major feature implementations
  • Breaking changes or API redesigns
  • Complex refactoring across multiple modules
  • New architectural patterns or significant design changes
  • Changes requiring deep context and multiple review rounds

Review Effort: Would have taken 45+ minutes

Examples:

  • Complete new feature with frontend/backend changes
  • Protocol upgrades or breaking changes
  • Major architectural refactoring
  • Framework or technology upgrades

Additional Factors to Consider

When deciding between sizes, also consider:

  • Test coverage impact: More comprehensive test changes lean toward larger classification
  • Risk level: Changes to critical systems bump up a size category
  • Team familiarity: Novel patterns or technologies increase complexity

Notes:

  • the assessment must be for the totality of the PR, that means comparing the base branch to the last commit of the PR
  • the assessment output must be exactly one of: S, M or L (single-line comment) in format of: SIZE={S/M/L}
  • do not include any additional text, only the size classification
  • your assessment comment must not include tips or additional sections
  • do NOT tag me or anyone else on your comment

@linear

linear Bot commented Sep 29, 2026

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RAI-2747

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in, unique, agree and agree-absolute words

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