Answer prose round 1: one name for a place holding most of a postal code's land, the decision leaves the seeding to the code, and the test says what it checks
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@@ -603,16 +603,13 @@ providing `geo.SE`'s paths, and without one `sv_SE.address` fails at first reach
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`FS` works against goal 6.2. Every package exports `Modules()`, so one spelling loads any of
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them; a data package imports only the packages it reads.
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## The default embed holds every Swedish postort the import can place, a tenth of the US places that are a postal code's main town drawn by population, and a tenth of each place's streets, at least ten
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## The default embed holds every Swedish postort the import can place, a population-weighted tenth of the US places that hold most of a postal code's land, and a tenth of each place's streets, at least ten
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2026-10-11, Lilleman auf Larv. Goals 2 and 14: ten streets a place crowded 500
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Stockholm customers onto ten streets, and US places of 25,000 or more left out every
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town and village. `geo-us.py` draws among the places that are some ZCTA's main town, the
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place holding most of its land inside places, since any other place can carry no postal
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code, with Efraimidis and Spirakis's weighted sampling. Each
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place's random number is seeded by its GEOID, so a rerun on the same sources draws the
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same places, and a place added to or dropped from the sources moves only the places near
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the cut. The draw keeps 968 of the 1,584 places of 25,000 or more and 310 of those of
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2026-10-11, Lilleman auf Larv. Goals 2 and 14: ten streets per place put 500 Stockholm
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customers on ten streets, and US places of 25,000 or more left out every town and
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village. `geo-us.py` draws with Efraimidis and Spirakis's weighted sampling. It draws
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only among places holding most of some ZCTA's land, since no other place can carry a
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postal code. The draw keeps 968 of the 1,584 places of 25,000 or more and 310 of those of
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100,000 or more, and its smallest place holds 93 people. On 2026-10-11 the embed grew
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from 1.3 MB to 5.2 MB, and the first draw of `en_US.address` took 75 ms against 19 ms
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before, within goal 13. `--place-share`, `--street-share` and `--min-streets` on the
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