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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

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AI & Law

@ai_and_law · Post #95 · 27.08.2023 г., 08:48

🌟AI Sunday Wonders: Breakthrough in AI-Assisted Communication for Paralysis Patients Hello everybody! This Sunday we explore new studies published in Nature showcase groundbreaking advances in brain implants, offering hope to individuals with paralysis or speech impairments. Led by Dr. Jaimie Henderson and his team at Stanford Medicine, the studies highlight neuroprostheses that can decode neural activity into words on a computer screen, audio speech, or animated avatars. The implants were tested on patients like Pat Bennett, diagnosed with amyotrophic lateral sclerosis (ALS) affecting her speech. By recording neural activity during speech attempts and decoding it into words, researchers achieved promising results. A 50-word vocabulary saw a 9.1% error rate during vocalization days, and a 125,000-word vocabulary had a 23.8% error rate. These findings indicate the potential to restore fluent conversation for paralysis patients. Dr. Henderson emphasized the transformative impact on communication, with a promising future where those unable to speak can stay connected with the world. Although the studies are proof of concept and require further testing, they pave the way for future breakthroughs, offering a glimpse of technology's potential to bridge communication gaps. #AI#MedicalTech#Neuroprosthetics#Paralysis#Communication#Breakthrough#AIInnovation

Venture Village Wall 🦄

@venturevillagewall · Post #4210 · 21.02.2025 г., 16:00

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