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Informational 16 Bitcoin

Merge rust-bitcoin/rust-bitcoin#6790: Implement Rem<NonZero{I,U}64> for {Signed}Amount

Public commit record

What the developer wrote

Authored by Andrew Poelstra

91/100 · Strong
Merge rust-bitcoin/rust-bitcoin#6790: Implement Rem<NonZero{I,U}64> for {Signed}Amount

7ceb9f04cf33161590d9f8137dd606e2e23d498e Implement Rem<NonZero{I,U}64> for {Signed}Amount (Martin Habovstiak)
60e21d58adab5dec6fd83be1c997fa03b833c1bd Rename `amount/result.rs` to `amount/ops.rs` (Martin Habovstiak)

Pull request description:

`Rem` and `RemAssign` were already implemented for `u64` and `i64` and we also had `Div` and `DivAssign` for `NonZeroU64` and `NonZeroI64` but `Rem{Assign}` for `NonZero{U,I}64` were missing. This PR adds them along with a little cleanup.


ACKs for top commit:
apoelstra:
ACK 7ceb9f04cf33161590d9f8137dd606e2e23d498e; successfully ran local tests. LGTM. But lol that even stdlib's "nonzero" types are unusable without adding unreachable panic paths.


Tree-SHA512: c1c9513f6620ea4cc966be91e2529e790db17692c1c7d5d0360c8feb35392cd75d64255017ae2662f3ee6146d03198b98bf10d9b97dc1c47939a636d07465ea3
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification✓ Links an issue, advisory, or supporting reference
The short version

What changed, and why it matters

This commit adds new ways to use the remainder operator (the '%' modulo operation) with Bitcoin amount types and Rust's non-zero integer types. It is a routine feature addition with no apparent security relevance. The code does not fix a vulnerability, change access controls, or introduce risky behavior beyond what was already present for similar operations.

Recommended action

No security action required. Review as normal code-quality/feature PR if desired.

Security signals we found

No strong security signals were identified.

Risk score

Why this scored 16/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 2/15
Confidence 9/10
Evidence quality 5/5
Human-validated context

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