feat: in, unique and agree words - #592
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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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Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Feature Merge Risk: ⚪ Minimal · up to No established defect blocks merging. Confirm the intended agree behavior for values spanning zero before publication. Architecture SummaryArchitecture risk: 🔵 Low · up to The change affects 2 systems. Changed systems: Architecture concerns Review detailsSystems and components
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Full details: Linked Issues checkExplanation Issue [ Resolution Implement and register the required ✨ Finishing Touches🧪 Generate unit tests (beta)
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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 checkedFour new op libraries ( I read The structural note:
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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.absis correct and the NatSpec justifies it properly.Float.absrepacks into anint224, which cannot hold the most negative coefficient and so raises the exponent — revertingExponentOverflowwhen the exponent is already atint32max. A guard readingmin-negative-value()should answer 0, not revert. Pinned bytestOpAgreeEvalMinNegativeValue. - Intermediates never packed back into a
Float. The comparison runs on raw coefficient/exponent pairs throughcompareRescale, so the only lossy steps are thesuband themul, 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/gtkeeping the first representation seen) explains a real defect rather than restating the code. - Integrity floors are 2 for
uniqueand 3 for theagreepair, so a one-value call — which agrees with itself vacuously — is rejected rather than silently passing.inrevertingInNeedlesZero()on a zero needle count is the same instinct. agree-absolutecorrectly omits the multiplication and compares the spread against the tolerance directly.
Design questions — the body raises all three, I have no answer to add
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.- Values straddling zero.
agree(0.01 -1 1)is 0 andagree(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, soagree(0.01 0 1)is 0. Current behaviour is locked in bytestOpAgreeEvalStraddlingZeroandtestOpAgreeEvalZeroLowest, so changing the answer changes those tests. 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.
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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 ( And those answers are explicitly undecided. From the PR body itself, Revised recommendation: hold until the three design questions in the body are ruled on. Specifically the two 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 |
`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>
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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In `@src/lib/op/LibAllStandardOps.sol`:
- Line 239: Update the binary-unique description in LibAllStandardOps so its
example uses literals with distinct packed values, such as 0x01 and 10e-1,
rather than 1 and 1.0.
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`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>
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>
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>
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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:
Review Effort: Would have taken 5-10 minutes Examples:
Medium (M)Characteristics:
Review Effort: Would have taken 15-30 minutes Examples:
Large (L)Characteristics:
Review Effort: Would have taken 45+ minutes Examples:
Additional Factors to ConsiderWhen deciding between sizes, also consider:
Notes:
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Closes #590.
Three words, all in
src/lib/op/logic/, registered inLibAllStandardOps.ALL_STANDARD_OPS_LENGTHgoes 73 -> 76.inSet membership.
in<n>(needle... member...). The operand is the needle count:the first
ninputs are the needles, every subsequent input is a member of theone 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, so1is in(1.0).Integrity requires at least one more input than there are needles, so the set is
never empty.
unique1 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 otherthat every value differs.
agreeagree(absolute proportional value value ...). 1 ifhighest - 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 —
AgreeToleranceNegativeandAgreeNoPositiveTolerance,both new in
ErrEval. See "Why the tolerances are validated" below.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 separateagree-absoluteword. Thatshape 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:
-0.001and0.001read as 200% apart. Noanchor 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'sisapproxuse.numpy.isclosesums 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 strictlythe 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 ofagree(0 0.01 99 100).agree-absoluteis removed. It is nowagreewith a proportionaltolerance of zero, so the word set shrinks by one and
ALL_STANDARD_OPS_LENGTHgoes 77 -> 76 relative to the previous revision ofthis branch.
Precision, and no promised rounding direction
agreekeeps the spread and the limit atLibDecimalFloatImplementationleveland never packs either back into a
Float, so the comparison happens at fullinternal 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 anensure, so a biased answer cannot berepeated 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.attestitem 14 is updated to scope therounding requirement to the leaky bucket, where it is earned.
Shared arithmetic, and what the differential actually tests
runandreferenceFndiffer only in how they find the highest and thelowest: a pointer walk against an array walk. They call the same
spreadOf/anchorOf/limitOf/agreedAthelpers for the arithmetic.This is a deliberate choice with a cost worth stating plainly. It means
opReferenceCheckis not an independent oracle for the formula — a wrongexpression 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 earliersum form the negative term poisoned the limit and the same call answered 0.
So the switch to
maxsilently turned a garbage input from a rejection into anacceptance — 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
agreeis an exact equality check — which is what the now-variadicequal-tois for, so it means the wrong word was written. Either toleranceALONE 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 zerorather thanboth are zero. Those are equivalent only because the negative check runs first; statedthe 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 needleinuseshandleOperandSingleFullNoDefault, soin(1 1)isExpectedOperandat parse time, and
in<0>(...)is a newInNeedlesZeroat deploy time — zeroneedles would make the check vacuously true, which is never what an
ensureguard 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 thanin<1>(x a b c).Things found while writing this
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 isnumpy'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.
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 startedfailing open. Visible as a changed expectation in my own diff, asserted as
correct. Now reverts.
LibOpAgree.referenceFndid not compile — "stack too deep". Nothingreferenced 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.
agreereverted formin-negative-value().Float.abspacks themagnitude 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
int32max. The result wasExponentOverflowinstead of an answer. Foundby 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.runandreferenceFnbroke ties the opposite way round.runusedFloat.min/Float.max, which return the later argument when two valuesare numerically equal;
referenceFnused strictlt/gt, which keep theearlier. Numerically equal values can be packed differently and the packing
feeds the rounding, so the two implementations could disagree.
runnow usesthe same strict comparisons.
Slither failed on the refactor, not on the logic. Splitting the
arithmetic into helpers introduced
return f(...)on tuple-returningcalls, which slither's
unused-returndetector reads as an ignored returnvalue — two results, and the
staticCI job is a hard gate. Both now bindto locals and return those. Verified locally at 0 results before pushing
rather than round-tripping through CI.
A test expectation of mine was wrong, and the test caught it.
testOpAgreeEvalMaxInputsclaimed thirteen values were within 1% of thelargest 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:
testOpAgreeAgainstPackedFloatOraclecomposes the formula from thepacked
FloatAPI (abs,mul,sub, comparisons) instead of the unpackedLibDecimalFloatImplementationthe word uses, over a domain of exactintegers where both paths are lossless. This is the check
runandreferenceFncannot provide between them, since they shareagreedAtandso 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.
testOpAgreeSpreadBoundsEveryPairpins the claim that licenses lookingat 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.testOpAgreeEvalExtremeTolerancecovers tolerances at the representableextremes, which a mint admin can configure and nothing else reached. The
expectation is derived:
mulscales the coefficient down and raises theexponent rather than overflowing, and
limitOfnever repacks, so a hugetolerance accepts rather than reverting.
testOpAgreeEvalAnchorPositionInArgumentListdistinguishes the realanchor from anchoring on the first or last argument.
testOpAgreeEvalInvalidToleranceRevertsAtMaxInputsshows validationdepends on the tolerances alone, at the largest input count.
Both differential tests fuzz their tolerances through
boundToleranceratherthan 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 theLibOpMax/LibOpAnypattern: direct integrity tests, run-vs-reference fuzz (including avariant 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 (
1vs1e0), the range extremes, themaximum 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 onspreads 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,testOpAgreeEvalNearZeroandtestOpAgreeEvalStraddlingZero.Mutations applied: fifteen, via
mutation-probeagainst a baseline theprobe proved green at 253 passed. 15/15 killed, 0 survived, 0 no-run, 0
harness errors.
testOpAgreeAgainstPackedFloatOraclekills 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
runandreferenceFncall. The differential fuzz cannot kill those — both sideschange 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
testOpAgreeRundifferential appears in any of them.
<=-><testOpAgreeEvalAbsoluteBoundary,testOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalAttestedTimes, +2testOpAgreeEvalProportionalBoundary,testOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalOrderIrrelevant, +2testOpAgreeEvalNegativeValues,testOpAgreeEvalStraddlingZerotestOpAgreeEvalAbsoluteBoundary,testOpAgreeEvalNearZero,testOpAgreeEvalLimitIsTheLarger, +2testOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalAttestedPrices,testOpAgreeEvalMaxInputs, +2testOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalAbsoluteBoundary,testOpAgreeEvalMaxInputs, +2runonlytestOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalAttestedPrices,testOpAgreeEvalMaxInputs, +2testOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalNegativeTolerancetestOpAgreeEvalLimitIsTheLarger,testOpAgreeEvalAbsoluteBoundary,testOpAgreeEvalAttestedTimes, +2innever finds a membertestOpInEval1Needle1Member,testOpInEvalAllowlist,testOpInEvalManyNeedles, +2uniquenever detects a duplicatetestOpUniqueEval3InputsDuplicate,testOpUniqueEvalMaxInputsFirstLastCollide, +3testOpAgreeEvalNegativeToleranceRevertstestOpAgreeEvalNegativeToleranceRevertstestOpAgreeEvalNoPositiveToleranceRevertstestOpAgreeEvalAbsoluteBoundary,testOpAgreeEvalAttestedTimes,testOpAgreeEvalMaxInputs, +2A10 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 fmthad rewrapped the lineafter 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,
referenceFnagainstrununder theexisting
opReferenceCheckfuzz — genuinely independent there, and whatcaught 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)))beforerunning. 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,uniqueand a tolerance word.All three are covered. The issue's rounding-direction requirement is
deliberately NOT carried over to
agree— see "Precision, and no promisedrounding direction" — and stays with the leaky bucket, where error
accumulates.
agree's tolerance shape deviates from the issue'soriginal 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).test/src/lib/op/logic/*.t.sol): 253 passed, 0 failed.forge test(full): 1564 passed, 6 failed. All six arevm.envString: environment variable "ARBITRUM_RPC_URL" not foundraised inthe constructors of fork-based math tests (
LibOpExp,LibOpExp2,LibOpGm,LibOpPower,LibOpSqrt,LibOpExponentialGrowth), before any test bodyruns. This diff touches none of them. Environmental; CI sets the variable.
The count drops from 1582 because
agree-absolute's 19 tests are deletedalong with the word, then rises as the tolerance rules gain their own tests.
rainlang-prelude,forge script --silent ./script/Build.sol,forge fmt— andgit statuscame 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_LENGTHdoes not feed.)🤖 Generated with Claude Code
Summary by CodeRabbit
agreeto check whether a set of values falls within absolute or proportional tolerance limits.binary-into check whether every specified value appears in a set, using exact binary equality.binary-uniqueto check whether all values are distinct, using exact binary equality.