Niptlox

sample;annotation
форма для выпечки;[(0, 5, 'B-TYPE'), (6, 9, 'I-TYPE'), (10, 17, 'I-TYPE')]
фарш свиной;[(0, 4, 'B-TYPE'), (5, 11, 'I-TYPE')]
сок ананасовый без сахара;[(0, 3, 'B-TYPE'), (4, 14, 'I-TYPE'), (15, 18, 'I-TYPE'), (19, 25, 'I-TYPE')]
еринги;[(0, 6, 'B-TYPE')]
молооко;[(0, 7, 'B-TYPE')]
поролок;[(0, 7, 'B-TYPE')]
свмнина;[(0, 7, 'B-TYPE')]
припрааа для рыбы;[(0, 8, 'B-TYPE'), (9, 12, 'I-TYPE'), (13, 17, 'I-TYPE')]
сулугцн;[(0, 7, 'B-TYPE')]

Niptlox

"""
A 3D voxel-based game prototype using OpenGL, GLFW, and NumPy with AABB collision detection, Perlin noise terrain generation, raycasting for block selection, and colored mesh rendering. Features player movement, gravity, jumping, and block placement/destruction — like a minimal Minecraft-style engine in Python.
"""
import numpy as np
import glfw
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.arrays import vbo
import time
import math

Niptlox

"""
Voxel Game with MuJoCo & GLFW
A minimal 3D voxel sandbox game using MuJoCo for physics and GLFW for rendering. Features terrain generation with Perlin noise, block breaking/placing, first-person camera, and basic physics. Textures are auto-generated.

Short demo of procedural world interaction in MuJoCo.
"""
import mujoco
import glfw
import numpy as np
import time

Niptlox

def remove_keys_copy_on_write(obj, keys_to_delete):
    """
    Recursively removes specified keys from a nested data structure (dicts and lists) using a 
    copy-on-write strategy. This means that only the parts of the structure containing the keys to be removed 
    are copied and modified, while the rest remains as references to the original objects.

    Parameters:
    - obj: The input nested data structure (can be a dict, list, or other types).
    - keys_to_delete: A collection (set or list) of keys to be removed from dictionaries at any nesting level.

Niptlox

import logging
from fastapi import FastAPI, Request, Response
from functools import wraps
import json

app = FastAPI()
logger = logging.getLogger("my_logger")

def log_route(level: str = "info", log_body: bool = False):
    def decorator(func):

Niptlox

Сумма_средних_длительностей_по_этапам =
VAR Этапы = 
    SUMMARIZE(
        FILTER(
            'этапы перевозки',
            RELATED('перевозки'[продукт]) = SELECTEDVALUE('продукты'[id])
        ),
        'этапы перевозки'[номер этапа],
        "СредняяДлительность",
            AVERAGEX(

Niptlox

import tkinter as tk
from tkinter import ttk, messagebox, filedialog
import csv
from datetime import datetime
import os
import pandas as pd

class Task:
    def __init__(self, name, archived=False):
        self.name = name

Niptlox

DECLARE
  v_count NUMBER;
BEGIN
  FOR col IN (SELECT column_name FROM all_tab_columns WHERE table_name = 'WETAB') LOOP
    EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM wetab WHERE ' || col.column_name || ' = 5000001'
      INTO v_count;
    IF v_count > 0 THEN
      DBMS_OUTPUT.PUT_LINE('Значение найдено в столбце: ' || col.column_name);
    END IF;
  END LOOP;

Niptlox

import logging
import math
import cv2

from rtmlib import Wholebody, draw_skeleton, BodyWithFeet, Body
from rtmlib.visualization import halpe26

log = logging.getLogger(__name__)