[Jovan] Added Exercise5_09

2025/Tutorials/Exercise05/Jovan_Exercise05_09_NOI_medals.ipynb

@@ -0,0 +1,106 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4e6a874f",
+   "metadata": {},
+   "source": [
+    "## Exercise 5.9\n",
+    "\n",
+    "A text file, `NOI_24_RESULT.txt` contains the results of the medallist recipients for the 24th National Olympiad in Informatics.\n",
+    "\n",
+    "Write a code to:\n",
+    "\n",
+    "- read the data from the text file,\n",
+    "- store the school name and medal counts in a Python dictionary `medal_count` where the school name is the key and the associated value is a tuple of the form `(GOLD, SILVER, BRONZE)`,\n",
+    "- print out the top 5 school with the highest number of medals won, regardless of the medal type. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "29381517",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "[Errno 2] No such file or directory: './resources/NOI_24_RESULT.csv'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mFileNotFoundError\u001b[39m                         Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 9\u001b[39m\n\u001b[32m      5\u001b[39m Bronze = []\n\u001b[32m      7\u001b[39m amount_of_medals_school = []\n\u001b[32m----> \u001b[39m\u001b[32m9\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m./resources/NOI_24_RESULT.csv\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[32m     10\u001b[39m     s = csv.reader(f, delimiter=\u001b[33m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m     11\u001b[39m     list_of_medals = [row \u001b[38;5;28;01mfor\u001b[39;00m row \u001b[38;5;129;01min\u001b[39;00m s \u001b[38;5;28;01mif\u001b[39;00m row != []]\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/.local/lib/python3.12/site-packages/IPython/core/interactiveshell.py:325\u001b[39m, in \u001b[36m_modified_open\u001b[39m\u001b[34m(file, *args, **kwargs)\u001b[39m\n\u001b[32m    318\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[32m0\u001b[39m, \u001b[32m1\u001b[39m, \u001b[32m2\u001b[39m}:\n\u001b[32m    319\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m    320\u001b[39m         \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mIPython won\u001b[39m\u001b[33m'\u001b[39m\u001b[33mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m by default \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    321\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    322\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33myou can use builtins\u001b[39m\u001b[33m'\u001b[39m\u001b[33m open.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    323\u001b[39m     )\n\u001b[32m--> \u001b[39m\u001b[32m325\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[31mFileNotFoundError\u001b[39m: [Errno 2] No such file or directory: './resources/NOI_24_RESULT.csv'"
+     ]
+    }
+   ],
+   "source": [
+    "import csv\n",
+    "\n",
+    "Gold = []\n",
+    "Silver = []\n",
+    "Bronze = []\n",
+    "\n",
+    "amount_of_medals_school = []\n",
+    "\n",
+    "with open(\"./resources/NOI_24_RESULT.csv\") as f:\n",
+    "    s = csv.reader(f, delimiter=\"\\n\")\n",
+    "    list_of_medals = [row for row in s if row != []]\n",
+    "    \n",
+    "    gold_start = list_of_medals.index(['Gold']) + 1\n",
+    "    silver_start = list_of_medals.index(['Silver'])\n",
+    "    bronze_start = list_of_medals.index(['Bronze'])\n",
+    "\n",
+    "    Gold = [row[0] for row in list_of_medals[gold_start:silver_start]]\n",
+    "    Silver = [row[0] for row in list_of_medals[silver_start + 1:bronze_start]]\n",
+    "    Bronze = [row[0] for row in list_of_medals[bronze_start + 1:]]\n",
+    "\n",
+    "    for i in Gold:\n",
+    "        _, school = i.split(',', 1)\n",
+    "        amount_of_medals_school.append([item.strip() for item in school.split(',')][-1])\n",
+    "    \n",
+    "    for i in Silver:\n",
+    "        _, school = i.split(',', 1)\n",
+    "        amount_of_medals_school.append([item.strip() for item in school.split(',')][-1])\n",
+    "        \n",
+    "    for i in Bronze:\n",
+    "        _, school = i.split(',', 1)\n",
+    "        amount_of_medals_school.append([item.strip() for item in school.split(',')][-1])\n",
+    "        \n",
+    "    medal_count = {i : amount_of_medals_school.count(i) for i in amount_of_medals_school}\n",
+    "    \n",
+    "    print(\"Top 5 schools with most medals:\")\n",
+    "    for i in range(len(medal_count)):\n",
+    "        s = max(medal_count, key=medal_count.get)\n",
+    "        if s == 'Singapore':\n",
+    "            s = 'School Of Science And Technology, Singapore'\n",
+    "        s_amt = max(medal_count.values())\n",
+    "        print(f\"{s}, with {s_amt} medals\")\n",
+    "        s = max(medal_count, key=medal_count.get)\n",
+    "        medal_count.pop(s)"
+   ]
+  }
+ ],
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