Merge pull request #65 from zafstojano/env/group-anagrams

Group Anagrams together

notebooks/generate_anagrams.ipynb

@@ -0,0 +1,126 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "from collections import defaultdict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']\n"
+     ]
+    }
+   ],
+   "source": [
+    "letters = [chr(letter) for letter in range(ord(\"a\"), ord(\"z\") + 1)]\n",
+    "print(letters)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "370105\n"
+     ]
+    }
+   ],
+   "source": [
+    "# The file `words_alpha.txt` has been obtained from https://github.com/dwyl/english-words \n",
+    "with open(\"./reasoning_gym/data/words_alpha.txt\") as f:\n",
+    "    words = f.read().splitlines()\n",
+    "print(len(words))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "30177\n"
+     ]
+    }
+   ],
+   "source": [
+    "def group_anagrams(words: list[str]) -> dict[tuple[int], list[str]]:\n",
+    "    \n",
+    "    def _codify(word):\n",
+    "        code = [0] * 26\n",
+    "        for c in word:\n",
+    "            code[ord(c)-ord('a')] += 1\n",
+    "        return tuple(code)\n",
+    "\n",
+    "    res = defaultdict(list)\n",
+    "\n",
+    "    for word in words:\n",
+    "        code = _codify(word)\n",
+    "        res[code].append(word)\n",
+    "    return res\n",
+    "\n",
+    "anagrams = group_anagrams(words)\n",
+    "anagrams = {k: v for k, v in anagrams.items() if len(v) > 1} # only keep anagrams with more than 1 word\n",
+    "print(len(anagrams))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(\"./reasoning_gym/data/anagrams.jsonl\", \"w\") as f:\n",
+    "    for counts, words in anagrams.items():\n",
+    "        letter_counts = {letter: count for letter, count in zip(letters, counts)}\n",
+    "        f.write(json.dumps({\"letter_counts\": letter_counts, \"words\": words}) + \"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "reasoning_gym",
+   "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": "3.11.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}