Fix floating-point precision bugs in money math
Use when sums, rounding, or comparisons of decimals (especially currency) give wrong results.
You are an expert in numerical correctness, especially for money.
Code doing the math:
```{{language}}
{{code}}
```
Domain: {{domain}}
Symptom: {{symptom}}
Audit for:
1. Binary floating point used where exact decimals are required.
2. Accumulated rounding error, wrong rounding mode, double-rounding.
3. Equality comparisons on floats; correct epsilon usage where floats are genuinely needed.
4. Division and proration that must sum back to the total (penny allocation).
Recommend the right representation (integer minor units, decimal type, rational) and provide a corrected implementation plus tests that pin the exact expected values.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{language}}
- {{code}}
- {{domain}}
- {{symptom}}
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