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Crucially, this distribution of border points is agnostic of routing speed profiles. It’s based only on whether a road is passable or not. This means the same set of clusters and border points can be used for all car routing profiles (default, shortest, fuel-efficient) and all bicycle profiles (default, prefer flat terrain, etc.). Only the travel time/cost values of the shortcuts between these points change based on the profile. This is a massive factor in keeping storage down – map data only increased by about 0.5% per profile to store this HH-Routing structure!
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"code": "invalid_amount",。关于这个话题，爱思助手下载最新版本提供了深入分析
To understand the scale of this issue, we scanned the November 2025 Common Crawl dataset, a massive (~700 TiB) archive of publicly scraped webpages containing HTML, JavaScript, and CSS from across the internet. We identified 2,863 live Google API keys vulnerable to this privilege-escalation vector.
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