{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f3b57c0d-557d-41fd-9dcb-5bd23450d4d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========== ЭТАП 1: ОБРАБОТКА ==========\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4ba14952aa5b44cab19264f1070e2952",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Анализ строк:   0%|          | 0/100 [00:00<?, ?строк/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "======================================\n",
      "\n",
      "========== ЭТАП 2: НЕЙРОСЕТЬ ==========\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3e5da2b4604645d18fa78063105cbc7a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Загрузка весов:   0%|          | 0/100 [00:00<?, ? слоев/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm.auto import tqdm \n",
    "import time\n",
    "\n",
    "df = pd.DataFrame({\n",
    "    'ID': range(1, 101),\n",
    "    'Data': np.random.randn(100)\n",
    "})\n",
    "\n",
    "print(f\"{'='*10} ЭТАП 1: ОБРАБОТКА {'='*10}\")\n",
    "# Использование tqdm напрямую для итерации по строкам\n",
    "for _ in tqdm(df.values, desc=\"Анализ строк\", unit=\"строк\"):\n",
    "    time.sleep(0.01) # Ускорил для теста\n",
    "\n",
    "print(\"\\n\" + \"=\"*38 + \"\\n\")\n",
    "print(f\"{'='*10} ЭТАП 2: НЕЙРОСЕТЬ {'='*10}\")\n",
    "for i in tqdm(range(100), \n",
    "              desc='Загрузка весов', \n",
    "              unit=' слоев', \n",
    "              colour='green'):\n",
    "    time.sleep(0.02)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fdc92940-7e90-4489-948f-0141f7441baa",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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