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Create custom tuning profiles that take advantage of the inherent quantities of the input data and CPU thread saturation/scheduling/parallelization to optimize the crate such that ALL benchmarks run 60% or quicker (1.4x faster). You can use the flamegraph crate to help with the profiling
,这一点在一键获取谷歌浏览器下载中也有详细论述
└── manifest-anaconda-iso.json
self.db_path = "spider.db"