The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
保险人与被保险人未约定保险价值的，保险价值按照下列规定计算：
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（三）违反监察机关在监察工作中、司法机关在刑事诉讼中依法采取的禁止接触证人、鉴定人、被害人及其近亲属保护措施的。
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The same issues exist on the WritableStream side. A WritableStream has a highWaterMark and desiredSize. There is a writer.ready promise that producers of data are supposed to pay attention but often don't.
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