c

.gitignore

@@ -4,3 +4,4 @@ __pycache__/
 *.pyo
 .ipynb_checkpoints/
 *.whl
+.aider*

practice.ipynb

@@ -0,0 +1,128 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "259a585b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### heloo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e18c006e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hello world\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"hello world\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "fe7bf6eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True\n",
+      "cuda\n"
+     ]
+    }
+   ],
+   "source": [
+    "import torch\n",
+    "from torch._C import device\n",
+    "import torch.nn as nn\n",
+    "from torch.nn import functional as F\n",
+    "print(torch.cuda.is_available())\n",
+    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+    "print(device)\n",
+    "\n",
+    "if device == \"cuda\":\n",
+    "    print(\"gpu\", torch.cuda.get_device_name(0))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "4bddedb8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1115394\n",
+      "First Citizen:\n",
+      "Before we proceed any further, hear me speak.\n",
+      "\n",
+      "All:\n",
+      "Speak, speak.\n",
+      "\n",
+      "First Citizen:\n",
+      "You are all resolved rather to die than to famish?\n",
+      "\n",
+      "All:\n",
+      "Resolved. resolved.\n",
+      "\n",
+      "First Citizen:\n",
+      "First, you know Caius Marcius is chief enemy to the people.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "with open(\"input.txt\", \"r\", encoding = \"utf-8\") as f:\n",
+    "    text = f.read()\n",
+    "\n",
+    "print(len(text))\n",
+    "print(text[:250])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b33dcb00",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "set(text)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}