119 lines
2.8 KiB
Plaintext
119 lines
2.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "4abcde78-eedd-4527-979d-f00d7d06e238",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Начинаем обработку DataFrame...\n"
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]
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "322566ded7d94e769f950ad4e5047e4b",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Анализ строк: 0%| | 0/100 [00:00<?, ?it/s]"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"==============================\n",
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"\n",
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"Запуск кастомного процесса...\n"
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]
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "27a3ec943a1845a48c1b164574a41950",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Загрузка нейросети: 0%| | 0/100 [00:00<?, ? слоев/s]"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Готово!\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"from tqdm.auto import tqdm \n",
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"import time\n",
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"df = pd.DataFrame({\n",
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" 'ID': range(1, 101),\n",
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" 'Data': np.random.randn(100)\n",
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"})\n",
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"print(\"Начинаем обработку DataFrame...\")\n",
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"for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Анализ строк\"):\n",
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" # Симуляция сложной математики\n",
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" time.sleep(0.02) \n",
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" \n",
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"print(\"\\n\" + \"=\"*30 + \"\\n\")\n",
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"print(\"Запуск кастомного процесса...\")\n",
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"\n",
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"for i in tqdm(range(100), \n",
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" desc='Загрузка нейросети', \n",
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" unit=' слоев', \n",
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" colour='green'):\n",
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" time.sleep(0.03)\n",
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"\n",
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"print(\"Готово!\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0dd78fa7-8710-4642-8a58-38b0913c9b25",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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