The objects table contains the same bytes git would store on disk, and a set of SQL functions parse them into tree entries, commit metadata, and parent links that you can join against like any other table.
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Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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FunctionGemma 的独特格式