i".split("_"),longDateFormat:{LT:"HH:mm",LTS:"HH:mm:ss",L:"DD/MM/YYYY",LL:"D MMMM YYYY",LLL:"D MMMM YYYY HH:mm",LLLL:"dddd, D MMMM YYYY HH:mm"},calendar:{sameDay:"[Illum fil-]LT",nextDay:"[G\u0127ada fil-]LT",nextWeek:"dddd [fil-]LT",lastDay:"[Il-biera\u0127 fil-]LT",lastWeek:"dddd [li g\u0127adda] [fil-]LT",sameElse:"L"},relativeTime:{future:"f\u2019 %s",past:"%s ilu",s:"ftit sekondi",ss:"%d sekondi",m:"minuta",mm:"%d minuti",h:"sieg\u0127a",hh:"%d sieg\u0127at",d:"\u0121urnata",dd:"%d \u0121ra...

kui.hiroshima.jp
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abashiri.hokkaido.jp
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aibetsu.hokkaido.jp
akabira.hokkaido.jp

bearalvahki.no
bearalváhki.no
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beats
beauty
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beer
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best
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bharti
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is **compatibility** with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then **performance** improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of **2x - 3x**. Which is not bad for just doing `pip install --upgrade fastapi pydantic`. This was not an official benchmark and I didn't check it myself, but it's a good sign.

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