{
 "cells": [
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-19T10:01:11.039074Z",
     "start_time": "2025-11-19T10:01:09.613806Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import import_ipynb\n",
    "#from notebooks.01_data_exploration import *\n",
    "\n",
    "def jaccard_similarity(sent1, sent2):\n",
    "    # make lowercase and split into words\n",
    "    words1 = set(sent1.lower().split())\n",
    "    words2 = set(sent2.lower().split())\n",
    "    intersection = words1.intersection(words2)\n",
    "    union = words1.union(words2)\n",
    "    return float(len(intersection)) / len(union) if union else 0.0\n",
    "\n",
    "test_pairs = [\n",
    "    (\"The cat sat on the mat.\", \"The cat sat on the mat.\"),     # Copy\n",
    "    (\"The cat sat on the mat.\", \"On the mat sat the cat.\"),     # Same words rearranged\n",
    "    (\"The cat sat on the mat.\", \"The dog ran in the park\")      # Different\n",
    "]\n",
    "\n",
    "for sent1, sent2 in test_pairs:\n",
    "    similarity = jaccard_similarity(sent1, sent2)\n",
    "    print(f\"'{sent1}' vs '{sent2}': {similarity:.3f}\") # 3 decimal places\n"
   ],
   "id": "e60d024e969254a",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'The cat sat on the mat.' vs 'The cat sat on the mat.': 1.000\n",
      "'The cat sat on the mat.' vs 'On the mat sat the cat.': 0.429\n",
      "'The cat sat on the mat.' vs 'The dog ran in the park': 0.111\n"
     ]
    }
   ],
   "execution_count": 9
  }
 ],
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