+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 65,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "import string\n",
- "import re\n",
- "import random\n",
- "import collections\n",
- "import copy\n",
- "\n",
- "from enum import Enum\n",
- "Direction = Enum('Direction', 'left right up down upleft upright downleft downright')\n",
- " \n",
- "delta = {Direction.left: (0, -1),Direction.right: (0, 1), \n",
- " Direction.up: (-1, 0), Direction.down: (1, 0), \n",
- " Direction.upleft: (-1, -1), Direction.upright: (-1, 1), \n",
- " Direction.downleft: (1, -1), Direction.downright: (1, 1)}\n",
- "\n",
- "cat = ''.join\n",
- "wcat = ' '.join\n",
- "lcat = '\\n'.join"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 66,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "# all_words = [w.strip() for w in open('/usr/share/dict/british-english').readlines()\n",
- "# if all(c in string.ascii_lowercase for c in w.strip())]\n",
- "# words = [w for w in all_words\n",
- "# if not any(w in w2 for w2 in all_words if w != w2)]\n",
- "# open('wordsearch-words', 'w').write(lcat(words))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 67,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "# ws_words = [w.strip() for w in open('wordsearch-words').readlines()\n",
- "# if all(c in string.ascii_lowercase for c in w.strip())]\n",
- "# ws_words[:10]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 68,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "ws_words = [w.strip() for w in open('/usr/share/dict/british-english').readlines()\n",
- " if all(c in string.ascii_lowercase for c in w.strip())]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 69,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def empty_grid(w, h):\n",
- " return [['.' for c in range(w)] for r in range(h)]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 70,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def show_grid(grid):\n",
- " return lcat(cat(r) for r in grid)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 71,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n",
- "..........\n"
- ]
- }
- ],
- "source": [
- "grid = empty_grid(10, 10)\n",
- "print(show_grid(grid))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 72,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def indices(grid, r, c, l, d):\n",
- " dr, dc = delta[d]\n",
- " w = len(grid[0])\n",
- " h = len(grid)\n",
- " inds = [(r + i * dr, c + i * dc) for i in range(l)]\n",
- " return [(i, j) for i, j in inds\n",
- " if i >= 0\n",
- " if j >= 0\n",
- " if i < h\n",
- " if j < w]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 73,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def gslice(grid, r, c, l, d):\n",
- " return [grid[i][j] for i, j in indices(grid, r, c, l, d)]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 74,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def set_grid(grid, r, c, d, word):\n",
- " for (i, j), l in zip(indices(grid, r, c, len(word), d), word):\n",
- " grid[i][j] = l\n",
- " return grid"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 75,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "..........\n",
- "..........\n",
- "...t......\n",
- "....e.....\n",
- ".....s....\n",
- "......t...\n",
- ".......w..\n",
- "........o.\n",
- ".........r\n",
- "..........\n"
- ]
- }
- ],
- "source": [
- "set_grid(grid, 2, 3, Direction.downright, 'testword')\n",
- "print(show_grid(grid))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 76,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'..e.....'"
- ]
- },
- "execution_count": 76,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "cat(gslice(grid, 3, 2, 15, Direction.right))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 77,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<_sre.SRE_Match object; span=(0, 4), match='keen'>"
- ]
- },
- "execution_count": 77,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "re.match(cat(gslice(grid, 3, 2, 4, Direction.right)), 'keen')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 78,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<_sre.SRE_Match object; span=(0, 3), match='kee'>"
- ]
- },
- "execution_count": 78,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "re.match(cat(gslice(grid, 3, 2, 3, Direction.right)), 'keen')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 79,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "re.fullmatch(cat(gslice(grid, 3, 2, 3, Direction.right)), 'keen')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 80,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "re.match(cat(gslice(grid, 3, 2, 4, Direction.right)), 'kine')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def could_add(grid, r, c, d, word):\n",
- " s = gslice(grid, r, c, len(word), d)\n",
- " return re.fullmatch(cat(s), word)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 82,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<_sre.SRE_Match object; span=(0, 4), match='keen'>"
- ]
- },
- "execution_count": 82,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "could_add(grid, 3, 2, Direction.right, 'keen')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 83,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "could_add(grid, 3, 2, Direction.right, 'kine')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<Direction.downleft: 7>"
- ]
- },
- "execution_count": 84,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "random.choice(list(Direction))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 129,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def fill_grid(grid, words, word_count, max_attempts=10000):\n",
- " attempts = 0\n",
- " added_words = []\n",
- " w = len(grid[0])\n",
- " h = len(grid)\n",
- " while len(added_words) < word_count and attempts < max_attempts:\n",
- " attempts += 1\n",
- " r = random.randrange(w)\n",
- " c = random.randrange(h)\n",
- " word = random.choice(words)\n",
- " d = random.choice(list(Direction))\n",
- " if len(word) >=4 and not any(word in w2 for w2 in added_words) and could_add(grid, r, c, d, word):\n",
- " set_grid(grid, r, c, d, word)\n",
- " added_words += [word]\n",
- " attempts = 0\n",
- " return grid, added_words"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "40"
- ]
- },
- "execution_count": 86,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "g = empty_grid(20, 20)\n",
- "g, ws = fill_grid(g, ws_words, 40)\n",
- "len(ws)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 87,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "l.fiestasrsnorffas..\n",
- "a....s..e.a.cawing..\n",
- "c..gt.dv.re.strongly\n",
- "i..n..aecmbp....y...\n",
- "m.eo.uthzoa.of..l.s.\n",
- "od.lq.esozslhhlyo.k.\n",
- "ns.e.r.se.ureanoh.r.\n",
- "o.wby.t.aw.foin.u.u.\n",
- "ca.o....i.a.to.d.rms\n",
- "en..l...lerrs.d.i.sk\n",
- "no...l..i.snalgarn.n\n",
- "un....a.crappiest.gi\n",
- ".y.....mdepraved..dw\n",
- ".mgniggolricochet.ey\n",
- ".o..pensivelyibmozil\n",
- ".u.......curd.....fd\n",
- ".sseitudlevehsid..id\n",
- "...litchis..romut.ri\n",
- ".understands......et\n",
- "....nagilooh......v.\n",
- "40 words added\n",
- "understands crappiest archery mallows depraved cawing rawest curd tiny tiddlywinks fiestas zombi duties ricochet uneconomical hope litchis strongly verified logging handing anonymous quaver flours boost holy saffrons errs hooligan male belong tumor dishevel fuzzed raglans pensively murks dents cilia doors\n"
- ]
- }
- ],
- "source": [
- "print(show_grid(g))\n",
- "print(len(ws), 'words added')\n",
- "print(wcat(ws))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 88,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def present(grid, word):\n",
- " w = len(grid[0])\n",
- " h = len(grid)\n",
- " for r in range(h):\n",
- " for c in range(w):\n",
- " for d in Direction:\n",
- " if cat(gslice(grid, r, c, len(word), d)) == word:\n",
- " return True, r, c, d\n",
- " return False, 0, 0, list(Direction)[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 89,
- "metadata": {
- "collapsed": false,
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "understands (True, 18, 1, <Direction.right: 2>)\n",
- "crappiest (True, 11, 8, <Direction.right: 2>)\n",
- "archery (True, 1, 10, <Direction.downleft: 7>)\n",
- "mallows (True, 12, 7, <Direction.upleft: 5>)\n",
- "depraved (True, 12, 8, <Direction.right: 2>)\n",
- "cawing (True, 1, 12, <Direction.right: 2>)\n",
- "rawest (True, 9, 11, <Direction.upleft: 5>)\n",
- "curd (True, 15, 9, <Direction.right: 2>)\n",
- "tiny (True, 8, 12, <Direction.upright: 6>)\n",
- "tiddlywinks (True, 18, 19, <Direction.up: 3>)\n",
- "fiestas (True, 0, 2, <Direction.right: 2>)\n",
- "zombi (True, 14, 17, <Direction.left: 1>)\n",
- "duties (True, 16, 7, <Direction.left: 1>)\n",
- "ricochet (True, 13, 9, <Direction.right: 2>)\n",
- "uneconomical (True, 11, 0, <Direction.up: 3>)\n",
- "hope (True, 5, 13, <Direction.upleft: 5>)\n",
- "litchis (True, 17, 3, <Direction.right: 2>)\n",
- "strongly (True, 2, 12, <Direction.right: 2>)\n",
- "verified (True, 19, 18, <Direction.up: 3>)\n",
- "logging (True, 13, 8, <Direction.left: 1>)\n",
- "handing (True, 5, 12, <Direction.downright: 8>)\n",
- "anonymous (True, 8, 1, <Direction.down: 4>)\n",
- "quaver (True, 5, 4, <Direction.upright: 6>)\n",
- "flours (True, 4, 13, <Direction.downright: 8>)\n",
- "boost (True, 3, 10, <Direction.downleft: 7>)\n",
- "holy (True, 6, 16, <Direction.up: 3>)\n",
- "saffrons (True, 0, 17, <Direction.left: 1>)\n",
- "errs (True, 9, 9, <Direction.right: 2>)\n",
- "hooligan (True, 19, 11, <Direction.left: 1>)\n",
- "male (True, 3, 9, <Direction.downright: 8>)\n",
- "belong (True, 7, 3, <Direction.up: 3>)\n",
- "tumor (True, 17, 16, <Direction.left: 1>)\n",
- "dishevel (True, 16, 15, <Direction.left: 1>)\n",
- "fuzzed (True, 7, 11, <Direction.upleft: 5>)\n",
- "raglans (True, 10, 16, <Direction.left: 1>)\n",
- "pensively (True, 14, 4, <Direction.right: 2>)\n",
- "murks (True, 8, 18, <Direction.up: 3>)\n",
- "dents (True, 5, 1, <Direction.upright: 6>)\n",
- "cilia (True, 11, 8, <Direction.up: 3>)\n",
- "doors (True, 9, 14, <Direction.upleft: 5>)\n"
- ]
- }
- ],
- "source": [
- "for w in ws:\n",
- " print(w, present(g, w))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 125,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def interesting(grid, words):\n",
- " dirs = set(present(grid, w)[3] for w in words)\n",
- " return len(words) > 40 and len(dirs) + 1 >= len(delta)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 126,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "False"
- ]
- },
- "execution_count": 126,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "interesting(g, ws)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 131,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def interesting_grid():\n",
- " boring = True\n",
- " while boring:\n",
- " grid = empty_grid(20, 20)\n",
- " grid, words = fill_grid(grid, ws_words, 80)\n",
- " boring = not interesting(grid, words)\n",
- " return grid, words"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 132,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "....gnixof...keem...\n",
- "feihc.spollawvase..s\n",
- "p.h.shs..snetsafnun.\n",
- "aeiy.adt..plehdowned\n",
- "rmcfmzhennaturali.h.\n",
- "abkake.pteebyelawsay\n",
- "dlcweln.lnmvrdrawllr\n",
- "ealnes.s.aeeieslaroe\n",
- ".zaelreffidclwl...gs\n",
- ".omtisadeelbst.bg.ei\n",
- ".noantr...tunet.o.nm\n",
- "serigamchamoixbemnsb\n",
- "sd.tnuu..lleterls..e\n",
- "e.dounf..dekcalsu..s\n",
- "gyegtcfknobetatser.t\n",
- "rlkeshskcelf..ploptr\n",
- "alon.l..sriahdawnsgi\n",
- "lac..y..gnittilps.od\n",
- ".eyeball..denedragse\n",
- ".r..ygnamsecstirg.hs\n",
- "57 words added; 7 directions\n",
- "chamoix staunchly keeling wive inns restate settlements byelaws blurt help foxing flecks orals differ unfastens mangy hymens wallops negotiate bestrides largess dawns nobler chief eyeball splitting bleed halogens clamor parade emblazoned hairs meek earmuff slacked retell scented gardened natural grits misery drawl gosh smog stung coked knob tune really secs plop alphas vase downed hazels hick fawn\n"
- ]
- }
- ],
- "source": [
- "g, ws = interesting_grid()\n",
- "print(show_grid(g))\n",
- "print(len(ws), 'words added; ', len(set(present(g, w)[3] for w in ws)), 'directions')\n",
- "print(wcat(ws))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def datafile(name, sep='\\t'):\n",
- " \"\"\"Read key,value pairs from file.\n",
- " \"\"\"\n",
- " with open(name) as f:\n",
- " for line in f:\n",
- " splits = line.split(sep)\n",
- " yield [splits[0], int(splits[1])]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def normalise(frequencies):\n",
- " \"\"\"Scale a set of frequencies so they sum to one\n",
- " \n",
- " >>> sorted(normalise({1: 1, 2: 0}).items())\n",
- " [(1, 1.0), (2, 0.0)]\n",
- " >>> sorted(normalise({1: 1, 2: 1}).items())\n",
- " [(1, 0.5), (2, 0.5)]\n",
- " >>> sorted(normalise({1: 1, 2: 1, 3: 1}).items()) # doctest: +ELLIPSIS\n",
- " [(1, 0.333...), (2, 0.333...), (3, 0.333...)]\n",
- " >>> sorted(normalise({1: 1, 2: 2, 3: 1}).items())\n",
- " [(1, 0.25), (2, 0.5), (3, 0.25)]\n",
- " \"\"\"\n",
- " length = sum(f for f in frequencies.values())\n",
- " return collections.defaultdict(int, ((k, v / length) \n",
- " for (k, v) in frequencies.items()))\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 96,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "english_counts = collections.Counter(dict(datafile('count_1l.txt')))\n",
- "normalised_english_counts = normalise(english_counts)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 97,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "wordsearch_counts = collections.Counter(cat(ws_words))\n",
- "normalised_wordsearch_counts = normalise(wordsearch_counts)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "normalised_wordsearch_counts = normalise(collections.Counter(normalised_wordsearch_counts) + collections.Counter({l: 0.05 for l in string.ascii_lowercase}))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 98,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def weighted_choice(d):\n",
- " \"\"\"Generate random item from a dictionary of item counts\n",
- " \"\"\"\n",
- " target = random.uniform(0, sum(d.values()))\n",
- " cuml = 0.0\n",
- " for (l, p) in d.items():\n",
- " cuml += p\n",
- " if cuml > target:\n",
- " return l\n",
- " return None\n",
- "\n",
- "def random_english_letter():\n",
- " \"\"\"Generate a random letter based on English letter counts\n",
- " \"\"\"\n",
- " return weighted_choice(normalised_english_counts)\n",
- "\n",
- "def random_wordsearch_letter():\n",
- " \"\"\"Generate a random letter based on wordsearch letter counts\n",
- " \"\"\"\n",
- " return weighted_choice(normalised_wordsearch_counts)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 99,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'aaaaaaaaaabcdddeeeeeeeeeeeefffffgghhhhhhhhhiiiiiiikllmnnnnnnnooooooooprrrrssssssssssssttttttuuvwwwww'"
- ]
- },
- "execution_count": 99,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "cat(sorted(random_english_letter() for i in range(100)))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 100,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'aaaaaaccccdddeeeeeeeeeeeeeeeeeeeffgghhiiiiikkklllmmmnnnnnnooooooppprrrrrrrrssssssssttttttuuuuuuvwyyy'"
- ]
- },
- "execution_count": 100,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "cat(sorted(random_wordsearch_letter() for i in range(100)))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 101,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'e'"
- ]
- },
- "execution_count": 101,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "random_wordsearch_letter()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 102,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def pad_grid(g0):\n",
- " grid = copy.deepcopy(g0)\n",
- " w = len(grid[0])\n",
- " h = len(grid)\n",
- " for r in range(h):\n",
- " for c in range(w):\n",
- " if grid[r][c] == '.':\n",
- " grid[r][c] = random_wordsearch_letter()\n",
- " return grid"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 103,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "nwtautoimmuneeyinsdl\n",
- "majorlyerasescmcider\n",
- "edthrallednxlcawoeaa\n",
- "gnizeensbnahwwgpsksr\n",
- "rmisrksiosgiitndtaep\n",
- "rioigoeopeglbnegsesu\n",
- "esurnrbdifecihtniust\n",
- "eeauuieimddlgiiigqan\n",
- "srcplooscrlufestosve\n",
- "pdcasmhemaonrgialcel\n",
- "lguvrepkcrekennronru\n",
- "ensesmtiesrtiogocwcr\n",
- "niadpnetulasgpdfeesi\n",
- "dgthgreoonavhsorinyv\n",
- "inilpehmnrnntuaeeoae\n",
- "dioesnmnocstennpolcm\n",
- "etniwvredwtidnmfdshm\n",
- "sgsoaarunyyoslurstts\n",
- "tetoyisimdmaderetlaf\n",
- "ettflightasnlclquasi\n"
- ]
- }
- ],
- "source": [
- "padded = pad_grid(g)\n",
- "print(show_grid(padded))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 104,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "...autoimmune.......\n",
- "majorlyerases.m..d..\n",
- "..thralledn...a..e..\n",
- "gnizeens..a..wg.sk..\n",
- ".m.s..si..g.i.ndtae.\n",
- ".i.ig.eo..gl..egses.\n",
- ".s.rnrbd..ec.htniust\n",
- ".eauuiei.ddlg.iigqan\n",
- "srcploos..lufestosve\n",
- "p.casmhe.aonrgial.el\n",
- "lguv.ep.crekennro.ru\n",
- "ense.m.i.s..iogoc.cr\n",
- "niad.netulasgp.fee.i\n",
- "dgt..reo....hs.r.nyv\n",
- "ini..ehm....t.ae.oa.\n",
- "dio..nm.o...en.p.lc.\n",
- "etn.w..e.w..d.....h.\n",
- "s.so....n.yoslurs.t.\n",
- "t.t......dmaderetlaf\n",
- "...flight.s.l..quasi\n"
- ]
- }
- ],
- "source": [
- "print(show_grid(g))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 105,
- "metadata": {
- "collapsed": false,
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "thralled (True, 2, 2, <Direction.right: 2>)\n",
- "slung (True, 9, 4, <Direction.up: 3>)\n",
- "freighted (True, 8, 12, <Direction.down: 4>)\n",
- "townhouse (True, 18, 2, <Direction.upright: 6>)\n",
- "salute (True, 12, 11, <Direction.left: 1>)\n",
- "phoebes (True, 10, 6, <Direction.up: 3>)\n",
- "faltered (True, 18, 19, <Direction.left: 1>)\n",
- "laywomen (True, 19, 12, <Direction.upleft: 5>)\n",
- "squeaked (True, 8, 17, <Direction.up: 3>)\n",
- "perforating (True, 15, 15, <Direction.up: 3>)\n",
- "iodise (True, 4, 7, <Direction.down: 4>)\n",
- "lacier (True, 8, 10, <Direction.downleft: 7>)\n",
- "autoimmune (True, 0, 3, <Direction.right: 2>)\n",
- "tinging (True, 16, 1, <Direction.up: 3>)\n",
- "snagged (True, 1, 10, <Direction.down: 4>)\n",
- "splendidest (True, 8, 0, <Direction.down: 4>)\n",
- "roughed (True, 10, 9, <Direction.upright: 6>)\n",
- "crevasse (True, 11, 18, <Direction.up: 3>)\n",
- "lone (True, 15, 17, <Direction.up: 3>)\n",
- "ecologists (True, 12, 16, <Direction.up: 3>)\n",
- "sponge (True, 13, 13, <Direction.up: 3>)\n",
- "magnetising (True, 1, 14, <Direction.down: 4>)\n",
- "sneezing (True, 3, 7, <Direction.left: 1>)\n",
- "virulent (True, 13, 19, <Direction.up: 3>)\n",
- "flight (True, 19, 3, <Direction.right: 2>)\n",
- "sirup (True, 4, 3, <Direction.down: 4>)\n",
- "yacht (True, 13, 18, <Direction.down: 4>)\n",
- "random (True, 13, 15, <Direction.downleft: 7>)\n",
- "accusations (True, 7, 2, <Direction.down: 4>)\n",
- "wiled (True, 3, 13, <Direction.downleft: 7>)\n",
- "paved (True, 8, 3, <Direction.down: 4>)\n",
- "majorly (True, 1, 0, <Direction.right: 2>)\n",
- "miser (True, 4, 1, <Direction.down: 4>)\n",
- "memoir (True, 11, 5, <Direction.up: 3>)\n",
- "emends (True, 14, 5, <Direction.downright: 8>)\n",
- "slurs (True, 17, 12, <Direction.right: 2>)\n",
- "clunk (True, 6, 11, <Direction.down: 4>)\n",
- "erases (True, 1, 7, <Direction.right: 2>)\n",
- "quasi (True, 19, 15, <Direction.right: 2>)\n"
- ]
- }
- ],
- "source": [
- "for w in ws:\n",
- " print(w, present(padded, w))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 141,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def decoys(grid, words, all_words, limit=100):\n",
- " decoy_words = []\n",
- " dlen_limit = max(len(w) for w in words)\n",
- " while len(words) + len(decoy_words) < limit:\n",
- " d = random.choice(all_words)\n",
- " if d not in words and len(d) >= 4 and len(d) <= dlen_limit and not present(grid, d)[0]:\n",
- " decoy_words += [d]\n",
- " return decoy_words"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 135,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['incisor',\n",
- " 'steeled',\n",
- " 'immobility',\n",
- " 'undertakings',\n",
- " 'exhorts',\n",
- " 'hairnet',\n",
- " 'placarded',\n",
- " 'sackful',\n",
- " 'covenanting',\n",
- " 'invoking',\n",
- " 'deltas',\n",
- " 'nonplus',\n",
- " 'exactest',\n",
- " 'eggs',\n",
- " 'tercentenary',\n",
- " 'angelic',\n",
- " 'relearning',\n",
- " 'ardors',\n",
- " 'imprints',\n",
- " 'chamoix',\n",
- " 'governance',\n",
- " 'rampart',\n",
- " 'estuary',\n",
- " 'poltroons',\n",
- " 'expect',\n",
- " 'restaurant',\n",
- " 'ashrams',\n",
- " 'illuminates',\n",
- " 'reprises',\n",
- " 'seismology',\n",
- " 'announce',\n",
- " 'tomorrows',\n",
- " 'carcinogenics',\n",
- " 'duplex',\n",
- " 'transmitters',\n",
- " 'prosier',\n",
- " 'anther',\n",
- " 'masticates',\n",
- " 'raunchy',\n",
- " 'briefs',\n",
- " 'poniard',\n",
- " 'daunted',\n",
- " 'topmasts',\n",
- " 'mynas']"
- ]
- },
- "execution_count": 135,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "ds = decoys(padded, ws, ws_words)\n",
- "ds"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 108,
- "metadata": {
- "collapsed": false,
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "thralled (True, 2, 2, <Direction.right: 2>)\n",
- "slung (True, 9, 4, <Direction.up: 3>)\n",
- "freighted (True, 8, 12, <Direction.down: 4>)\n",
- "townhouse (True, 18, 2, <Direction.upright: 6>)\n",
- "salute (True, 12, 11, <Direction.left: 1>)\n",
- "phoebes (True, 10, 6, <Direction.up: 3>)\n",
- "faltered (True, 18, 19, <Direction.left: 1>)\n",
- "laywomen (True, 19, 12, <Direction.upleft: 5>)\n",
- "squeaked (True, 8, 17, <Direction.up: 3>)\n",
- "perforating (True, 15, 15, <Direction.up: 3>)\n",
- "iodise (True, 4, 7, <Direction.down: 4>)\n",
- "lacier (True, 8, 10, <Direction.downleft: 7>)\n",
- "autoimmune (True, 0, 3, <Direction.right: 2>)\n",
- "tinging (True, 16, 1, <Direction.up: 3>)\n",
- "snagged (True, 1, 10, <Direction.down: 4>)\n",
- "splendidest (True, 8, 0, <Direction.down: 4>)\n",
- "roughed (True, 10, 9, <Direction.upright: 6>)\n",
- "crevasse (True, 11, 18, <Direction.up: 3>)\n",
- "lone (True, 15, 17, <Direction.up: 3>)\n",
- "ecologists (True, 12, 16, <Direction.up: 3>)\n",
- "sponge (True, 13, 13, <Direction.up: 3>)\n",
- "magnetising (True, 1, 14, <Direction.down: 4>)\n",
- "sneezing (True, 3, 7, <Direction.left: 1>)\n",
- "virulent (True, 13, 19, <Direction.up: 3>)\n",
- "flight (True, 19, 3, <Direction.right: 2>)\n",
- "sirup (True, 4, 3, <Direction.down: 4>)\n",
- "yacht (True, 13, 18, <Direction.down: 4>)\n",
- "random (True, 13, 15, <Direction.downleft: 7>)\n",
- "accusations (True, 7, 2, <Direction.down: 4>)\n",
- "wiled (True, 3, 13, <Direction.downleft: 7>)\n",
- "paved (True, 8, 3, <Direction.down: 4>)\n",
- "majorly (True, 1, 0, <Direction.right: 2>)\n",
- "miser (True, 4, 1, <Direction.down: 4>)\n",
- "memoir (True, 11, 5, <Direction.up: 3>)\n",
- "emends (True, 14, 5, <Direction.downright: 8>)\n",
- "slurs (True, 17, 12, <Direction.right: 2>)\n",
- "clunk (True, 6, 11, <Direction.down: 4>)\n",
- "erases (True, 1, 7, <Direction.right: 2>)\n",
- "quasi (True, 19, 15, <Direction.right: 2>)\n",
- "leakiest (False, 0, 0, <Direction.left: 1>)\n",
- "lumpiest (False, 0, 0, <Direction.left: 1>)\n",
- "bastion (False, 0, 0, <Direction.left: 1>)\n",
- "steamier (False, 0, 0, <Direction.left: 1>)\n",
- "elegant (False, 0, 0, <Direction.left: 1>)\n",
- "slogging (False, 0, 0, <Direction.left: 1>)\n",
- "rejects (False, 0, 0, <Direction.left: 1>)\n",
- "gaze (False, 0, 0, <Direction.left: 1>)\n",
- "swopping (False, 0, 0, <Direction.left: 1>)\n",
- "resonances (False, 0, 0, <Direction.left: 1>)\n",
- "treasonous (False, 0, 0, <Direction.left: 1>)\n",
- "corm (False, 0, 0, <Direction.left: 1>)\n",
- "abuses (False, 0, 0, <Direction.left: 1>)\n",
- "toga (False, 0, 0, <Direction.left: 1>)\n",
- "upcountry (False, 0, 0, <Direction.left: 1>)\n",
- "scrawled (False, 0, 0, <Direction.left: 1>)\n",
- "cellar (False, 0, 0, <Direction.left: 1>)\n",
- "skinflint (False, 0, 0, <Direction.left: 1>)\n",
- "wasteland (False, 0, 0, <Direction.left: 1>)\n",
- "madman (False, 0, 0, <Direction.left: 1>)\n",
- "lash (False, 0, 0, <Direction.left: 1>)\n"
- ]
- }
- ],
- "source": [
- "for w in ws + ds:\n",
- " print(w, present(padded, w))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 142,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- ".strigger.essegassum\n",
- "acselacs.tapri..pgcr\n",
- "moeclienterr.em.uaie\n",
- "apisearsclmo.kvpmntp\n",
- "lebpg..ohlucfaeaespe\n",
- "ifbi.ev.aafeesr.urol\n",
- "riae.el.iwfse.o.oqss\n",
- "evcsr...n..sd.dv..r.\n",
- "pestdewels..e.aw.ut.\n",
- "mrlimmersionrl.ob.e.\n",
- "iyllatnemadnufwls.nl\n",
- "..sdboomovulesivl.ri\n",
- ".eiepsreggij.tdeljif\n",
- "dkwn.atread..oereiat\n",
- "uais..efile..pnihlhi\n",
- "rhkripelyt.illsnst.n\n",
- "iweekendunotablete.g\n",
- "nfondlyrytsenohsuo..\n",
- "g.mriffa....naysnp..\n",
- ".meatspoodle.within.\n",
- "cstriggerpessegassum\n",
- "acselacsytapriijpgcr\n",
- "moeclienterrtemnuaie\n",
- "apisearsclmookvpmntp\n",
- "lebpgatohlucfaeaespe\n",
- "ifbisevxaafeesrlurol\n",
- "riaehelciwfseioioqss\n",
- "evcsrkuynpasdfdvetrq\n",
- "pestdewelsniegawkutd\n",
- "mrlimmersionrloobuel\n",
- "iyllatnemadnufwlsanl\n",
- "dwsdboomovulesivlyri\n",
- "oeiepsreggijntdeljif\n",
- "dkwnkatreadvnoereiat\n",
- "uaiscuefilehapnihlhi\n",
- "rhkripelytqillsnsten\n",
- "iweekendunotabletetg\n",
- "nfondlyrytsenohsuocc\n",
- "gemriffanternaysnpef\n",
- "bmeatspoodleswithing\n",
- "62 words added; 8 directions\n",
- "Present: adore affirm ages boom burs chain client dens during earmuff feeder file fiver fondly fundamentally hairnet hake honesty ills immersion imperil jiggers jilt kiwis lama leap legs lifting meat muss nays notable nutshells optic oval overtly ovule pies poet poodle process quavers repels ripely sake scabbiest scale scope sears simpers slewed snag spume stop tread trigger turfs wallet weekend widen within wolverines\n",
- "Decoys: chitchats colloquium conveyances convulsively debates dieting dudes dumpster dwarfed experienced feasibility festooning groupie grunted highfalutin humanise incubuses infiltrate ingratiated jotting linearly lotus masculines meanders nucleuses plunks ponderously prerecording riskiest scavenging splashier sportsmanship strawberry twirler unjustified wariness wavy yeast\n"
- ]
- }
- ],
- "source": [
- "g, ws = interesting_grid()\n",
- "p = pad_grid(g)\n",
- "ds = decoys(p, ws, ws_words)\n",
- "print(show_grid(g))\n",
- "print(show_grid(p))\n",
- "print(len(ws), 'words added; ', len(set(present(g, w)[3] for w in ws)), 'directions')\n",
- "print('Present:', wcat(sorted(ws)))\n",
- "print('Decoys:', wcat(sorted(ds)))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 143,
- "metadata": {
- "collapsed": false,
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0\n",
- "1\n",
- "2\n",
- "3\n",
- "4\n",
- "5\n",
- "6\n",
- "7\n",
- "8\n",
- "9\n",
- "10\n",
- "11\n",
- "12\n",
- "13\n",
- "14\n",
- "15\n",
- "16\n",
- "17\n",
- "18\n",
- "19\n",
- "20\n",
- "21\n",
- "22\n",
- "23\n",
- "24\n",
- "25\n",
- "26\n",
- "27\n",
- "28\n",
- "29\n",
- "30\n",
- "31\n",
- "32\n",
- "33\n",
- "34\n",
- "35\n",
- "36\n",
- "37\n",
- "38\n",
- "39\n",
- "40\n",
- "41\n",
- "42\n",
- "43\n",
- "44\n",
- "45\n",
- "46\n",
- "47\n",
- "48\n",
- "49\n",
- "50\n",
- "51\n",
- "52\n",
- "53\n",
- "54\n",
- "55\n",
- "56\n",
- "57\n",
- "58\n",
- "59\n",
- "60\n",
- "61\n",
- "62\n",
- "63\n",
- "64\n",
- "65\n",
- "66\n",
- "67\n",
- "68\n",
- "69\n",
- "70\n",
- "71\n",
- "72\n",
- "73\n",
- "74\n",
- "75\n",
- "76\n",
- "77\n",
- "78\n",
- "79\n",
- "80\n",
- "81\n",
- "82\n",
- "83\n",
- "84\n",
- "85\n",
- "86\n",
- "87\n",
- "88\n",
- "89\n",
- "90\n",
- "91\n",
- "92\n",
- "93\n",
- "94\n",
- "95\n",
- "96\n",
- "97\n",
- "98\n",
- "99\n"
- ]
- }
- ],
- "source": [
- "for i in range(100):\n",
- " print(i)\n",
- " g, ws = interesting_grid()\n",
- " p = pad_grid(g)\n",
- " ds = decoys(p, ws, ws_words)\n",
- " with open('wordsearch{:02}.txt'.format(i), 'w') as f:\n",
- " f.write('20x20\\n')\n",
- " f.write(show_grid(p))\n",
- " f.write('\\n')\n",
- " f.write(lcat(sorted(ws + ds)))\n",
- " with open('wordsearch-solution{:02}.txt'.format(i), 'w') as f:\n",
- " f.write('20x20\\n')\n",
- " f.write(show_grid(g))\n",
- " f.write('\\n')\n",
- " f.write(lcat(sorted(ws)) + '\\n\\n')\n",
- " f.write(lcat(sorted(ds)))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "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": "3.5.2"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
projects / ou-summer-of-code-2017.git / blobdiff