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首先,Decomposing a literal string into trigrams is straightforward, as it is the same algorithm as when you index a document. Extract every overlapping trigram contained in the string; a document that contains all these trigrams will probably contain the literal (but not necessarily!). Alternations are decomposed separately, resulting in two branches where either must be contained in a document for it to match. We query this on the inverted index by joining the posting lists instead of intersecting them. Character classes can be decomposed into many trigrams. Small classes like [rbc]at result in one trigram for each element of the class. When using broader character classes, we simply skip extracting those trigrams across those boundaries.
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其次,"mv x20, x0", // halt to quantum, make sure this takes effect
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最后,Use maxInputTokens to truncate content when it exceeds the model's context window:
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