Project Euler Q42 - LO Man Hei

Download notebook

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a469358e-2f57-4bd6-9c8d-c59f3d77920b",
   "metadata": {},
   "source": [
    "### Q42\n",
    "Using [q42_data.txt](/notebook/raw/q42_data.txt), a 16K text file containing nearly two-thousand common English words, how many are triangle words?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "32720930-c7b6-4882-87f6-945b254594fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "words_string = open(\"q42_data.txt\",\"r\").read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "820c6f59-d5d1-4f67-a379-b41d8bb337ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "def words_string_to_list(words_string):\n",
    "    return words_string.replace('\"',\"\").split(\",\")\n",
    "\n",
    "def char_score(char):\n",
    "    return ord(char.upper())-64\n",
    "\n",
    "def is_triangle_num(n):\n",
    "    a = int((n*2)**0.5)\n",
    "    return a*(a+1) == n*2\n",
    "\n",
    "def count_triangle_word(words_string):\n",
    "    words_list = words_string_to_list(words_string)\n",
    "    result = 0\n",
    "    for word in words_list:\n",
    "        if is_triangle_num(sum(char_score(c) for c in word)):\n",
    "            result += 1\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1b65c5f8-02b2-4db4-95ab-9343702ded41",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.58 ms, sys: 0 ns, total: 1.58 ms\n",
      "Wall time: 1.58 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "162"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "count_triangle_word(words_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ff0b0de-a9d5-4a15-8a67-2f1f75ff175d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

Loading