@BinanceAlphaAirdropTracker · Post #397 · 05.11.2025 г., 08:58
⏰#TRUST Claim with minimum 224 pts starts in about 2 minutes 🎁 Airdrop: 200 $TRUST ($127)
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Изворен канал @pythonotes · Post #60 · 31 мар.
Вторая по частоте future-функция, которую я использовал, это абсолютный импорт from __future__ import absolute_import Что она делает? Изменения, которые вносит эта инъекция описаны в PEP328 Покажу простой пример. Допустим, есть такой пакет: /my_package /__init__.py /main.py /string.py Смотрим код в my_package/main.py # main.py import string Простой пример готов) Вопрос в том, какой модуль импортируется в данном случае? Есть два варианта: 1. модуль в моём пакете my_package.string 2. стандартный модуль string И вот тут вступает в дело приоритет импортов. В Python2 порядок следующий: помимо иных источников, раньше ищется модуль внутри текущего пакета, а потом в стандартных библиотеках. Таким образом мы импортнём my_package.string. Но в Python3 это поведение изменилось. Если мы указываем просто имя пакета, то ищется именно такой модуль, игнорируя имена в текущем пакете. Если мы хотим импортнуть именно подмодуль из нашего пакета то, мы должны теперь явно это указывать. from my_package import string или относительный импорт, но с указанием пути относительно текущего модуля main from . import string Еще одной неоднозначностью меньше 😎 Подробней про импорты здесь: https://docs.python.org/3/tutorial/modules.html #2to3#pep#basic
Пребарај: #trust
@BinanceAlphaAirdropTracker · Post #397 · 05.11.2025 г., 08:58
⏰#TRUST Claim with minimum 224 pts starts in about 2 minutes 🎁 Airdrop: 200 $TRUST ($127)
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@cryptoarsenal · Post #62940 · 15.04.2026 г., 08:55
🎰#TRUST selling 🧨 1,55M USDT in 15 min (10%) on Binance Futures P: 0,09018 ⬆️ (6,84%) Vol 24h: 17M USDT Last 4 h ago #CEXTrack
@cryptoarsenal · Post #62935 · 15.04.2026 г., 04:50
🎰#TRUST buying 🔫 354K USDT in 6 min (11%) on Binance Futures P: 0,07667 ⬆️ (5,71%) Vol 24h: 3,52M USDT Last 10 d ago #CEXTrack
@cryptoarsenal · Post #62288 · 05.04.2026 г., 12:27
🎰#TRUST buying 🔫 351K USDT in 13 min (43%) on Binance Futures P: 0,06845 ⬆️ (4,63%) Vol 24h: 1,16M USDT Last 47 d ago #CEXTrack
@ilia_plasma · Post #221 · 16.10.2023 г., 15:14
Новый нахваленный дизайн #Trust Wallet Теперь понятно почему #TWT токен упал. Глаза немного болят 😡
@airdrop3ltd · Post #157 · 16.07.2021 г., 17:30
DUSD NETWORK #AIRDROP#TRUST WALLET #AIRDROP#META MASK Free 🎁 200 (DUSD) Tokens Reward 🎁 for a referral 50% = 100 (DUSD) ✅Open Trust wallet ✅Go to DApps ✅Copy & Paste Airdrop link below in Dapp Search Box: 👇 Project Link : https://dusd.network/ 👇 Airdrop Link : https://dusd.network/airdrop/index.html 🔹Change network to Smart chain 🔹Click Claim Airdrop (Little $0.18 Fee Required in BNB) Listing Pancakeswap 30th October, 2021. LISTING PRICE: 1 DUSD = 0.3 USD ✅To be listed at coinmarketcap ✅Add custom token: Contract Address: 0x5eba288f8833071ba7cd5c2b356754811c0ce8fb ✅BSCSCAN https://bscscan.com/token/0x5eba288f8833071ba7cd5c2b356754811c0ce8fb ✅TELEGRAM GROUP LINK: https://t.me/dusd_network ✅Twitter LINK https://twitter.com/DusdNetwork ✅Reddit Link https://www.reddit.com/user/DUSD_Network ✅discord.com https://discord.gg/m62cgWbP ✅Youtube https://www.youtube.com/channel/UCKlGuOEocIIwIGh8V2H8DFg ✅Medium https://medium.com/@dusd.network
@WangZhuanZhan · Post #34934 · 05.11.2024 г., 06:32
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@mexcdex · Post #24040 · 15.04.2026 г., 09:21
🟢 LONG? #TRUST Spread 8.16% detected 💥 Origin: MEXC (DUMP) [M: -10% VS D: -3%] 💎 Intuition #TRUST_USDT (COPY: TRUST) 🌐 Price DEX $0.09270 🎰 Price MEXC $0.08571 ️⚖️ Max Size: 23K $TRUST ($2K) 💹️ Funding Rate: -0.4395% 🏦 Market Cap: $16.7M 💰 Liquidity: $383K 💸 Vol DEX/MEXC: $243K / $525K ⛓️#BASE Dep: 🟢 (1800) W/d: 🟢 0x6cd905dF2Ed214b22e0d48FF17CD4200C1C6d8A3 ⏳Avg Align Time: 94s 📊Avg Spread / Max / Change: ±5% / ±5% / ±3% 📈Win / Draw / Lose: 1 / 0 / 1 💰Total / Week / 24H Profit: -0% / -3% / -3%
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@testflightynoti · Post #37328 · 01.05.2026 г., 19:37
#Shade#Trust#No#One Join the Shade: Trust No One beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/wymhbMGt Shared by Dimitri
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@limnosdsstation · Post #10189 · 26.02.2026 г., 05:21
https://x.com/HappyShaunVT/status/2026711290039906367 HappyShaun : Face verification is getting interesting. I THINK I CAN TRUST IT. #happyshaun#vrchat#verification#meme#trust#lime
@ai_and_law · Post #96 · 28.08.2023 г., 07:04
Twilio Introduces "Nutrition Labels" to Boost Trust in AI Hello AI&Law society! Twilio, a communication tool services company, is taking a proactive step to enhance transparency and trust in its artificial intelligence services. The company is introducing "nutrition labels" for its AI models, providing information about the data used for training, the purpose of data collection, and more. The labels aim to offer users a clear understanding of how their data will be utilized. The "nutrition labels" highlight key aspects such as which AI models are being employed, whether customer data is used for training, and whether human involvement is integrated. Additionally, Twilio offers an online tool that enables other companies to generate similar labels for their AI products. Twilio's initiative aligns with broader industry efforts to ensure responsible and transparent AI practices. Salesforce, for instance, is also unveiling an acceptable use policy for its generative AI technologies, specifying prohibited practices and emphasizing responsible AI usage. #AI#Transparency#DataPrivacy#Trust#ResponsibleAI#Twilio#Salesforce
@ai_and_law · Post #29 · 15.06.2023 г., 07:04
Cybersecurity and AI: mapping key issues in the EU The European Union Agency for Cybersecurity (ENISA) has released a comprehensive report highlighting key cybersecurity issues in the field of artificial intelligence. The report aims to shed light on potential risks and provide guidance for policymakers, businesses, and AI developers. The report identifies several critical areas that require attention. One key concern is the security and integrity of AI systems, emphasizing the need for robust safeguards against unauthorized access, data breaches, and malicious attacks. It also highlights the importance of ensuring the privacy and protection of personal data used in AI processes. Additionally, the report emphasizes the significance of transparent and explainable AI algorithms. Clear accountability and understandable decision-making processes are vital to building trust in AI systems and avoiding potential biases or discrimination. #AI#Cybersecurity#EU#DataProtection#Privacy#Transparency#Trust#Cyberthreats