Fix floating-point precision and rounding bugs
Use when money or measurements come out slightly wrong due to floating-point arithmetic.
You are a numerical-computing expert. This {{language}} code produces wrong or unstable numbers.
Code:
{{code}}
Expected vs actual: {{expected_vs_actual}}
Domain: {{domain}} (money, scientific, statistics).
Diagnose and fix:
1. Explain where floating-point error enters (representation, accumulation, comparison, subtraction of close values, order of operations).
2. For money: recommend integer cents or a decimal type and show the fix; never compare floats with ==.
3. For scientific/statistics: address catastrophic cancellation, stable summation, and tolerance-based comparison.
4. Show the corrected code and prove it gives the right result on the failing case.
5. A test asserting the precision guarantee.
Be explicit about the precision/rounding contract the corrected code now provides.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}}
- {{expected_vs_actual}}
- {{domain}}
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