Фонбет Чемпионат КХЛ
Because the test categories are not present during training, this dataset provides a useful benchmark for evaluating whether reconstruction models can generalize beyond the training categories. A small set of non-naturalistic abstract stimuli (e.g., crosses) from this data has been used widely and successfully to demonstrate reconstruction capability outside the (naturalistic) training distributions.
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Credit: Nintendo
This is really powerful for writing a lexer and parser that work together without having complicated code, or by storing an entire intermediate result in memory before passing it to the next stage. The lexer can trundle along and once it’s got a full token it can yield() that value. The parser just continually runs .call() whenever it needs a new token to process. They’re passing off control between each other in a more complicated way than just calling a single function and getting back a single result. The code in the lexer and parser can be more freely structured as any function can yield() or call() whenever a value is found or needed.，更多细节参见heLLoword翻译官方下载
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