| -- =================================================================== | |
| -- LEFT HOT CORNER (Smart Client Menu) | |
| -- =================================================================== | |
| -- 1. Variable to track the menu instance (to check visibility later) | |
| local client_menu_instance = nil | |
| -- 2. Timer to prevent "debouncing" (accidental multiple triggers) | |
| local hot_corner_timer = gears.timer { | |
| timeout = 0.5, |
| import sys | |
| import os | |
| # Добавляем путь к папке с расширениями (если еще нет) | |
| ext_dir = os.path.expanduser('~/.xonsh') | |
| if ext_dir not in sys.path: | |
| sys.path.append(ext_dir) | |
| # Импортируем наш класс | |
| from history_search import SearchEngineHistory |
| """ | |
| Esper-Numpy - высокопроизводительная Entity Component System (ECS) для Python на базе NumPy. | |
| ИСПРАВЛЕНА проблема с копированием данных при индексации. | |
| """ | |
| import time as _time | |
| import numpy as np | |
| import inspect as _inspect | |
| from dataclasses import is_dataclass, fields as _dataclass_fields | |
| from types import MethodType as _MethodType |
| """Optimized esper - faster Entity System (ECS) for Python | |
| Key optimizations: | |
| 1. Lazy cache invalidation | |
| 2. Faster component lookups with cached min sets | |
| 3. Direct entity component dict access | |
| 4. Optimized dead entity cleanup | |
| 5. Fast processor lookup dict | |
| """ | |
| import time as _time |
| import timeit | |
| from dataclasses import dataclass, replace | |
| # ============================================================ | |
| # Исходные данные | |
| # ============================================================ | |
| color = (0, 121, 241, 255) | |
| new_alpha = 128 | |
| EXPECTED = (0, 121, 241, 128) |
| import os | |
| import sqlite3 | |
| import unittest | |
| from typing import Dict, List, Union, Any, Optional, Tuple | |
| import threading | |
| import queue | |
| from concurrent.futures import Future | |
| import asyncio | |
F12 or Ctrl + Shift + I.Ctrl + Shift + M.const iframe = document.createElement('iframe');
| ps -eo pid,comm,%mem,rss --sort=-%mem | head -n 11 | awk "NR==1{printf \"%-8s %-25s %-10s %s\n\", \$1, \$2, \$3, \"RAM(MB)\"} NR>1{printf \"%-8s %-25s %-10s %.2f\n\", \$1, \$2, \$3, \$4/1024}" |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Django 5.1 {% querystring %} Study Guide</title> | |
| <style> | |
| body { | |
| font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; | |
| max-width: 900px; |
| import json | |
| import random | |
| from collections import Counter | |
| def random_int_from_float(a, b, float_val=None): | |
| """ | |
| Превращает случайное вещественное число (0..1) в случайное целое число между a и b (включительно). | |
| Args: | |
| a (int): Нижняя граница диапазона. |