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Informational 19 Bitcoin

units: Replace NumOpError internals with MathErrorKind

Public commit record

What the developer wrote

Authored by Mitchell Bagot

78/100 · Adequate
units: Replace NumOpError internals with MathErrorKind

The NumOpResult doesn't have a way to distinguish the cause of an error
from the operation that was performed. Some operations can have
multiple failure modes, such as division (div-by-zero vs overflow on
signed values). Rather than clutter the operation type, a new error kind
type which captures the failure mode should be introduced. Where a failure
mode applies to multiple operation types (e.g. overflow), the existing
MathOp is wrapped.

Introduce MathErrorKind to replace MathOp private field of NumOpError,
adjusting constructors as needed.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Names security-relevant behavior explicitly
The short version

What changed, and why it matters

This commit is a code-quality refactor inside the rust-bitcoin library's 'units' crate. It changes how arithmetic errors (overflow, divide-by-zero, remainder-by-zero) are described internally, making error messages more specific and preserving the original error when combining error values. It does not add or remove any security checks; it only re-labels the existing checked-math failures.

Recommended action

No security action required. Treat as a normal library refactor; review only if your code depends on the exact internal structure or `Display` output of `NumOpError`.

Security signals we found

01

Refactor of error representation only; no new arithmetic bounds checks introduced

02

Existing checked_add/checked_sub/checked_mul/checked_div/checked_rem paths remain unchanged

03

Error-preservation change in AddAssign/SubAssign could be considered a minor bugfix for error reporting but does not alter overflow/division-by-zero protection

Risk score

Why this scored 19/100

Our methodology →
Potential impact 2/30
Exploitability 1/25
Stealth signal 1/15
Affected reach 3/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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