Instead of tee() with its hidden unbounded buffer, you get explicit multi-consumer primitives. Stream.share() is pull-based: consumers pull from a shared source, and you configure the buffer limits and backpressure policy upfront.
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This algorithm attempts to minimise numerically. Because of this, the quality of the dither produced by Knoll’s algorithm is much higher than any other of the N-candidate methods we have covered so far. It is also the slowest however, as it requires a greater per-pixel to be really effective. More details are given in Knoll’s now expired patent[3]. I have put together a GPU implementation of Knoll’s algorithm on Shadertoy here.
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Kalshi says that it reported the insider trading to the Commodity Futures Trading Commission (CFTC) and plans to donate the over $20,000 Kaptur has been fined to "a non-profit that provides consumer education on derivatives markets." In a statement provided to NPR, Beast Industries, MrBeast's production company, said it has a zero-tolerance policy for insider trading. "We have a longstanding policy in place against employees using proprietary company information in order to safeguard the highest standards and ethics throughout our organization," Beast Industries said.