The spec does not mandate buffer limits for tee(). And to be fair, the spec allows implementations to implement the actual internal mechanisms for tee()and other APIs in any way they see fit so long as the observable normative requirements of the specification are met. But if an implementation chooses to implement tee() in the specific way described by the streams specification, then tee() will come with a built-in memory management issue that is difficult to work around.
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If executed well, Delaunay-based tetrahedral dithering can outperform the N-convex method and produce results that rival Knoll’s algorithm. The devil is in the detail however, as actually implementing a robust Delaunay triangulator is a non-trivial task, especially where numerical stability is concerned. The additional memory overhead required by the triangulation structure may also be a concern.
这还要回到去年月之暗面在战略上的“急刹车”，其以海外市场为主，通过API调用带动收入，都是从去年开始逐步成型的。