| 1. Порахувати можливий дохід за хліб та молоко (з урахуванням знижок на ці товари) | |
| 2. Отримати інформацію про товари, які були доставлені вчора і сьогодні більше 10 одиниць (getdate, dateadd) | |
| 3. Показати назви та ціни товарів, доставлених протягом останнього місяця | |
| 4. Показати на екран назви та ціни товарів з категорії "Кондитерські вироби", але тільки не торгової марки "Roshen" | |
| 5. Показати на екран усі товари, назви яких починаються на букву "К", а категорії містять букву "А" |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>A simple clock</title> | |
| </head> | |
| <body translate="no" > |
| You are tasked with analyzing a merged PDF containing multiple documents in German and creating a bash script to split and rename these documents. Follow these instructions carefully: | |
| First, carefully examine the content of the merged PDF. | |
| Now, follow these steps: | |
| 1. Analyze the PDF: | |
| - Identify all distinct documents within the merged PDF. | |
| - Ignore any blank pages (pages that contain no letters). | |
| - Determine the page range for each document. |
| const Stations = [ | |
| { | |
| id: "1", | |
| name: "إذاعة صور من حياة الصحابة رضوان الله عليهم", | |
| radio_url: "https://qurango.net/radio/sahabah", | |
| name_en: "Sahaba Stories", | |
| category: "منوعات", | |
| category_en: "Others" | |
| }, | |
| { |
Dynamic PGO (Profile-guided optimization) is a JIT-compiler optimization technique that allows JIT to collect additional information about surroundings (aka profile) in tier0 codegen in order to rely on it later during promotion from tier0 to tier1 for hot methods to make them even more efficient.
Profile-driving inlining - inliner relies on PGO data and can be very aggressive for hot paths and care less about cold ones, see dotnet/runtime#52708 and dotnet/runtime#55478. A good example where it has visible effects is this StringBuilder benchmark:
Guarded devirtualization - most monomorphic virtual/interface calls can be devirtualized using PGO data, e.g.:
void DisposeMe(IDisposable d)In the Generative AI Age your ability to generate prompts is your ability to generate results.
Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.
Replace {{user-input}} with your own input to generate prompts.
Use mp_*.txt as example user-inputs to see how to generate high quality prompts.
The aim was to be able to:
https://www.nerdfonts.com/font-downloads
The following solution thanks to @hackerzgz & @snacky101 will install all nerd fonts;
brew tap homebrew/cask-fonts
brew search '/font-.*-nerd-font/' | awk '{ print $1 }' | xargs -I{} brew install --cask {} || true
| import argparse | |
| import os | |
| import shutil | |
| import imageio | |
| import matplotlib.pyplot as _ | |
| import matplotlib as mpl | |
| import numpy as np | |
| import tensorflow as tf |