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Изворен канал @pythonotes · Post #397 · 12 ное.

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Использование Pydantic сегодня стало нормой, и это правильно. Но иногда на ревью вижу, что используют его не всегда корректно. Например, метод BaseModel.model_dump() по умолчанию не преобразует стандартные типы, такие как datetime, UUID или Decimal, в простой сериализуемый для JSON вид. Тогда пишут кастмоный сериализатор для этих типов чтобы функция json.dump() не падала с ошибкой. import uuid from datetime import datetime from decimal import Decimal from uuid import UUID from pydantic import BaseModel class MyModel(BaseModel): id: UUID date: datetime value: Decimal obj = MyModel( id=uuid.uuid4(), date=datetime.now(), value='1.23' ) print(obj.model_dump()) # не подходит для json.dump # { # 'id': UUID('4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1'), # 'date': datetime.datetime(2025, 12, 12, 12, 12, 12, 111111), # 'value': Decimal('1.23') # } # добавляем свой кастомный сериализатор json.dumps(obj.model_dump(), cls=MySerializer) # { # 'id': '4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1', # 'date': '2025-12-12T12:12:12.111111', # 'value': '1.23' # } В данном случае класс MySerializer обрабатывает datetime, UUID и Decimal. Например так: class MySerializer(json.JSONEncoder): def default(self, o): if isinstance(o, Decimal): return str(o) elif isinstance(o, datetime): return o.isoformat() elif isinstance(o, UUID): return str(o) return super().default(o) Специально для тех, кто всё еще так делает - в этом нет необходимости! Pydantic может это сделать сам, просто нужно добавить параметр mode="json". json.dumps(obj.model_dump(mode="json")) # { # 'id': '4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1', # 'date': '2012-12-12T12:12:12.111111', # 'value': '1.23' # } #pydantic#libs

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Coin Sonar

@CoinSonar · Post #244171 · 18.04.2026 г., 12:26

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#NMR | Volume spike (USDT PAIR) 317 times the average volume 98.25K USDT traded in 1 min └Selling vol: 61.49K USDT 🔴 Boost score: 1/10 24h Vol: 445.92K USDT (Binance) Price: 8.75 (-1.3% in 24h)

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Coin Sonar

@CoinSonar · Post #243656 · 17.04.2026 г., 13:09

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#NMR | Volume spike (USDT PAIR) 28 times the average volume 130.67K USDT traded in 15 min └Selling vol: 79.47K USDT 🔴 Boost score: 1/10 24h Vol: 445.92K USDT (Binance) Price: 8.86 (-1.3% in 24h)

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American Crypto©

@americancryptotrading · Post #27188 · 18.03.2025 г., 12:27

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🇺🇸#NMR/USDT has crossed through the descendingresistance on the daily timeframe🔍 Climbing higher from here🐃 American Crypto©

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Alphavave Traders ️️️

@alphavave · Post #3048 · 25.12.2025 г., 02:00

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#NMR is crushing it with a 1,925% profit! 💰💵 That's a 1️⃣9️⃣🔤 return on your money from just one signal😉💵 Not going to lie, we have pretty much cracked the crypto code here. The results speak for themselves. Bet you are wondering how... Too bad most won't ever figure it out💯 you want the Same, this is your last chance🎁 ⚡️Don't miss the Christmas Sale!⚡️ ✅Monthly access is now just $30 (originally $200) ✅6-Month access is now just $75 (originally $500) ✅Lifetime access is now just $188 💵 (originally $1250) Let’s make this your most profitable Christmas yet! 🎉 DM me now! 👉@Kevindexter✅

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CRYPTO SIGNALS FREE

@crypto_vip_signals_free · Post #372 · 13.08.2021 г., 05:06

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#NMR is a type of hedge fund built by a network of data scientists fundamentally it is a strong project which haven’t pumped much in this altseason and definitely having potential to become a top gainer on binance. Technically NMR is on horizontal support and having bullish OBV divergence on 4H timeframe stochastic RSI looking bullish on 1D so now is the right time to build your position in it before breakout for massive profit😊 Target : 0.001-0.0011-0.00125-0.0015 For premium contatct @cryptomathh

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