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Building a Fair Restaurant Bill Splitter: Rules, Rounding, and JavaScript

Restaurant bill splitting looks like a division problem, but a useful implementation has to model several decisions: personal items, shared dishes, tax, gratuity, discounts, and the final rounding adjustment. If these rules are hidden inside one formula, users cannot tell why their share changed. This article develops a small, auditable approach that works for both equal and itemized splits.…

In this article, a method for creating a fair restaurant bill splitter is discussed, taking into account various factors such as personal items, shared dishes, tax, gratuity, discounts, and rounding adjustments. The article emphasizes the importance of defining a clear calculation contract, distinguishing between different types of inputs and their impact on the final calculation.

By breaking down the bill into personal and shared food items, as well as allocating common charges proportionally, the approach aims to provide a transparent and auditable process for splitting restaurant bills.

Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

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North Dakota Town Bucks Trend by Voting in Favor of Data Centers

Harwood voters rejected tighter reviews for major developments, making the North Dakota town an outlier on data centers.

  • Harwood, North Dakota, voted against stricter data center regulations.
  • 76% of 430 votes opposed the proposed amendment.
  • Mayor Blake Hankey opposed amendment, citing financial concerns.

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