Q Numbers
Tim Bray's ongoing fragment delves into Quamina's numeric representation and finite automata intersection. It addresses efficient event pattern matching, normalizing numbers for consistent comparison, and potential precision improvements. Introduced "Q numbers" aim for accurate matching despite performance considerations.
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This ongoing fragment by Tim Bray discusses the intersection of numeric representation and finite automata, focusing on the Quamina library. Quamina allows users to compile patterns to match events efficiently, inspired by AWS Event Ruler. The problem addressed is the comparison of numbers like "20" and "20.0" within Quamina, leading to the normalization of numbers into fixed-sized strings for consistent comparison. The process involves constraints on number ranges and decimal points, ensuring proper representation. The article explores the mapping of numbers to hex strings and the efficiency of the current approach. It also mentions potential improvements, such as using decimal arithmetic for better precision. The term "Q numbers" is introduced for these normalized representations in Quamina. The conclusion highlights the importance of accurate number matching in Quamina, despite potential performance implications. Overall, the article delves into the technical aspects of numeric matching using finite automata within the Quamina library.
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