This document discusses finding bugs related to floating point numbers in open source projects. It notes that converting cents to dollars by multiplying by 0.01 can result in small inaccuracies due to floating point representation, as seen when converting 35 cents which results in 0.35000000000000003. It also explains that comparisons between floating point numbers can be problematic due to these small inaccuracies, like comparing 0.5 to 0.49999999999999994 which would incorrectly evaluate to not equal. The document recommends techniques like establishing tolerances when comparing floating point numbers to avoid issues arising from their inherent approximate nature.

1. Finding floating number bugs in open source projects

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(1bit)
value = -1 × ( ) × 2
( ) ( )

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cent2doller = x => console.log(x * 0.01);
cent2doller(25);
0.25

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cent2doller = x => console.log(x * 0.01);
cent2doller(35);
0.35000000000000003

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0.5
0.49999999999999994

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