diff --git a/ipynb/xkcd-Name-Dominoes.ipynb b/ipynb/xkcd-Name-Dominoes.ipynb
index 8e9209c..8398481 100644
--- a/ipynb/xkcd-Name-Dominoes.ipynb
+++ b/ipynb/xkcd-Name-Dominoes.ipynb
@@ -4,23 +4,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<span style=\"text-align:right\">Peter Norvig<br>21 March 2018</span>\n",
+    "<div style=\"text-align:right\">Peter Norvig<br>21 March 2018</div>\n",
     "\n",
     "# `xkcd` Name Dominoes\n",
     "\n",
-    "The March 21, 2018 `xkcd` comic number 1970 was [Name Dominoes](https://xkcd.com/1970/): domino tiles laid out as if in a game, but with the tiles containing names of famous poeple rather than numbers. \n",
-    "In [dominoes](https://en.wikipedia.org/wiki/Dominoes) each tile has two halves, and a tile can be legally placed only if  one half is adjacent to another tile with the same number/name, and neither half is adjacent to any tile with a different number/name. (The very first tile in a game has no adjacent tiles, so it can be placed anywhere.) I will write a function to lay out dominoes in a random, legal array.  I'll start with two key data structures:\n",
+    "The March 21, 2018 `xkcd` comic (#1970) was [Name Dominoes](https://xkcd.com/1970/): domino tiles laid out as if in a game, but the tiles contain names of famous poeple rather than numbers. \n",
+    "In [dominoes](https://en.wikipedia.org/wiki/Dominoes) each tile has two halves, and a tile can be legally placed only if  one half is adjacent to another tile with the same number/name, and neither half is adjacent to any tile with a different number/name. (The very first tile played in a game has no adjacent tiles, so it can be placed anywhere.) I will write a function to lay out tiles in a random, legal array.  I'll start with two key data structures:\n",
     "\n",
-    "- **`Tile`**: a tile is a 2-element tuple, like `('Tim', 'Cook')`, indicating the two halves.\n",
+    "- **`Tile`**: a tile is a 2-element tuple, like `('TIM', 'COOK')`, indicating the two halves.\n",
     "- **`Board(w, h)`**: a [w × h] 2-dimensional array of locations; each location holds as a value one half of a tile, or it can be `empty`, or it can be a `border`, meaning nothing can be placed there."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "empty  = '  '\n",
@@ -43,25 +41,8 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[['--', '--', '--', '--'],\n",
-       " ['--', '  ', '  ', '--'],\n",
-       " ['--', '  ', '  ', '--'],\n",
-       " ['--', '  ', '  ', '--'],\n",
-       " ['--', '--', '--', '--']]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "metadata": {},
+   "outputs": [],
    "source": [
     "Board(2, 3)"
    ]
@@ -70,23 +51,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now I need a strategy to fill the board with tiles.  I will randomly place dominoes one at a time, and I will *not* consider removing a tile from the board and backtracking. Some more concepts:\n",
+    "Now I need a strategy to fill the board with tiles.  I will randomly place tiles one at a time, and to make things easier I will *not* consider removing a tile from the board and backtracking. Some more concepts:\n",
     "\n",
     "- **`frontier`**: I'll maintain a *frontier*, a set of locations that are adjacent to tiles on the board, and thus are candidates for placing new tiles.\n",
-    "- **`dominoes(tiles)`**: places a random tile for the first tile, then repeatedly calls `place1` to legally place an additional tile, stopping when either there is no `frontier` left (meaning no place to put a tile) or no `tiles` left to place.\n",
-    "- **`try_one(tiles, board, frontier)`**: take a location in the frontier, and try to find some tile that can legally put one of its halves there, and the other half on an adjacent location; when found, `put` the tile there, and remove it from `tiles`.\n",
+    "- **`dominoes(tiles)`**: makes a board and places tiles on it, one at a time, until no more can be placed. Chooses a random tile for the first tile, then repeatedly calls `try_one` to legally place an additional tile, stopping when either there is no `frontier` left (meaning no place to put a tile) or no `tiles` left to place.\n",
+    "- **`try_one(tiles, board, frontier)`**: pop a location off the frontier, and try to find some tile that can legally put one of its halves there and the other half on an adjacent location; when found, `put` the tile there, and remove it from `tiles`.\n",
     "- **`legal(value, loc, board)`**: a value can be placed if the location is empty, and the value matches all the neighboring location values.\n",
     "- **`neighbors(loc)`**: returns the four neighbors of a location.\n",
-    "- **`put(board, loc0, loc1, tile, frontier)`**: places a tile on the board, it accomplishes this by making two calls to the board's `put` method, one for each half of the tile. The `put` function also updates the `frontier` to say that the just-covered locations are no longer in the frontier, but the empty neighbors of the tile are.\n",
+    "- **`put(board, loc0, loc1, tile, frontier)`**: places a tile on the board; it accomplishes this by making two calls to the board's `put` method, one for each half of the tile. The `put` function also updates the `frontier` to say that the just-covered locations are no longer in the frontier, but the empty neighbors of the tile are.\n",
     "- **`shuffle(items)`**: used to randomize lists; calls `random.shuffle` and returns the result."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import random\n",
@@ -103,7 +82,7 @@
     "    return board\n",
     "          \n",
     "def try_one(tiles, board, frontier):\n",
-    "    \"Pop a frontier location, and try to place a random tile on that location and an adjacent square.\"\n",
+    "    \"Pop a frontier location, and try to place a random tile on that location.\"\n",
     "    loc0 = frontier.pop()\n",
     "    for tile in shuffle(tiles):\n",
     "        for (v, w) in [tile, tile[::-1]]:\n",
@@ -112,7 +91,7 @@
     "                    if legal(w, loc1, board):\n",
     "                        put(board, loc0, loc1, [v, w], frontier)\n",
     "                        tiles.remove(tile)\n",
-    "                        return  \n",
+    "                        return tile\n",
     "                        \n",
     "def legal(value, loc, board):\n",
     "    \"Is it legal to place this value on this location on board?\"\n",
@@ -139,20 +118,18 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "[['--', '--', '--', '--', '--', '--', '--', '--'],\n",
-       " ['--', 'Ry', 'Ke', '  ', '  ', 'Ja', 'Ry', '--'],\n",
-       " ['--', '  ', 'Ke', 'Gr', '  ', 'Ja', '  ', '--'],\n",
-       " ['--', '  ', '  ', 'Gr', '  ', 'Ke', '  ', '--'],\n",
-       " ['--', '  ', '  ', 'Jo', 'Jo', 'Ke', '  ', '--'],\n",
-       " ['--', '  ', '  ', '  ', '  ', '  ', '  ', '--'],\n",
-       " ['--', '  ', '  ', '  ', '  ', '  ', '  ', '--'],\n",
+       " ['--', '  ', '  ', 'JA', 'BO', '  ', '  ', '--'],\n",
+       " ['--', '  ', 'RY', 'JA', '  ', '  ', '  ', '--'],\n",
+       " ['--', '  ', '  ', 'JA', '  ', '  ', '  ', '--'],\n",
+       " ['--', 'GR', 'KE', 'KE', 'KE', 'RY', '  ', '--'],\n",
+       " ['--', '  ', '  ', 'KE', '  ', '  ', '  ', '--'],\n",
+       " ['--', 'GR', 'JO', 'JO', '  ', '  ', '  ', '--'],\n",
        " ['--', '--', '--', '--', '--', '--', '--', '--']]"
       ]
      },
@@ -162,8 +139,8 @@
     }
    ],
    "source": [
-    "tiles1 = [('Bo', 'Ja'), ('Ja', 'Po'), ('Ja', 'Ry'), ('Ry', 'Ke'), \n",
-    "          ('Gr', 'Ke'), ('Gr', 'Jo'), ('Ja', 'Ke'), ('Ke', 'Jo')]\n",
+    "tiles1 = [('BO', 'JA'), ('JA', 'PO'), ('JA', 'RY'), ('RY', 'KE'), \n",
+    "          ('GR', 'KE'), ('GR', 'JO'), ('JA', 'KE'), ('KE', 'JO')]\n",
     "\n",
     "dominoes(tiles1, 6, 6)"
    ]
@@ -174,18 +151,16 @@
    "source": [
     "# Pretty Output\n",
     "\n",
-    "There are two problems with this output. One, it is ugly. Two, I can't easily tell where each domino is: when three names come together, which of the outside names goes with the middle name?  To fix those two problems I will:\n",
+    "There are two problems with this output. One, it is ugly. Two, I can't easily tell where each tile is: when three names come together, which of the outside names goes with the middle name?  To fix those two problems I will:\n",
     "\n",
-    "- Use `matplotlib` to plot a less-ugly display, by defining `plot_board(board)`.\n",
+    "- Use `matplotlib` to plot a less-ugly display; encapsulate this in the function `plot_board(board)`.\n",
     "- Modify the `Board` class and the `put` function so that the board maintains a list of `boxes` that surround each two-location rectangle that a tile occupies."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -195,14 +170,14 @@
     "    plt.figure(figsize=figsize)\n",
     "    plt.axis('off')  \n",
     "    plt.axis('equal')\n",
+    "    plt.tight_layout()\n",
     "    for (x0, y0, x1, y1) in board.boxes:\n",
     "        plt.plot([x0, x1, x1, x0, x0], \n",
     "                 [y0, y0, y1, y1, y0], 'k-')\n",
     "    for (y, row) in enumerate(board):\n",
     "        for (x, val) in enumerate(row):\n",
     "            if val is not border:\n",
-    "                plt.text(x + 0.5, y + 0.3, val.replace('-', ' '),\n",
-    "                         ha='center', fontsize=8)\n",
+    "                plt.text(x + 0.5, y + 0.3, val, ha='center', fontsize=8)\n",
     "                \n",
     "class Board(list):\n",
     "    \"A board is a 2d array of values.\"\n",
@@ -227,21 +202,19 @@
     "    frontier |= {loc for loc in neighbors(loc0) + neighbors(loc1)\n",
     "                 if board.get(loc) is empty}\n",
     "    (x0, y0), (x1, y1) = loc0, loc1\n",
-    "    board.boxes.append((min(x0, x1), min(y0, y1), max(x0, x1) + 1, max(y0, y1) + 1))"
+    "    board.boxes.append((min(x0, x1), min(y0, y1), max(x0, x1) + 0.94, max(y0, y1) + 0.94))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAFpCAYAAAC8p8I3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAADWRJREFUeJzt3G/I73ddx/HX2x0h8rgtWqzmMKGFdUM7N8TIxXYyEdGw\nGxaHDh6ysEP455ZEGDFUBgl2Mxlod2Ky2mCJd2xOPZ4FhkTgMUUQNJSQtURZc2rZ2rsb17U8DBde\n57p++1zv73k8QM65zgXH18f9ruc+vy/4q+4OAHM8Z/UAAA5GuAGGEW6AYYQbYBjhBhhGuAGGEW6A\nYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGG\nEW6AYU6sHrBSVZ1Pcnb1jiNyT3d/YPUI5vNzcfxd7Tfus0lOrR5xBE5lOz9orOfn4pi7qm/c+y51\n9+nVIw6jqi6u3sDm+Lk4xq72GzfAOMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxw\nAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMIN\nMIxw70BVna6qr1XVxar6dFX94upNcBzs/2zcuXrHdMK9O3d39+kkf5TkDxdvATZEuHfv2iSPVdWr\nquoz+/951epRsFJV3VdVD1XVg1V17eo905xYPWDDzlXVbUl+Psmrk9y1/2uSPJDkE6uGwTHwpu7+\nblW9OcmZJB9cPWgS4d6du7v7T6vqxiR/maS7+7Ekqar/WTsNlromyfuq6iXZe0f64cV7xvGoZPe+\nnb0X53Oq6tr9t4XXLN4EK51K8rzuvi3J+5PU4j3juHHvzrmq+tUkP5bkziTfT/Lx/e/dsWwVrFVJ\nvpjkl6vqgST/muTrayfNI9w70N0Xk/zsD/nWg8/yFDhubk7y5e5+x+ohk3lUAjwrqupMkvNJ7l+9\nZTo3buBZ0d33Jrl39Y4tcOMGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBh\nfFYJHKGqOp/k7Oodh3QqySOrR/DM3LjhaJ3NXvgmO5nkxtUjeGZu3HD0LnX36dUjrlRVPbp6A/8/\nN26AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhG\nuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjhBhhGuAGGEW6AYYQbYBjh3pGqOl1Vd67ewXz7r6Wv\nVdWnqurjVfWTqzcd1BbOcJwIN8xwd3f/WpK/SvI7q8dcoS2c4VgQ7h2rqvuq6qGqerCqrl29h/Gu\nT/ITVXVvklTViaq6sHjTQW3hDEudWD3gKvCm7v5uVb05yZkkH1w9iJHOVdVrkvx4kl9J8qGqen6S\nVyT5xNJlP7otnOFYcOPerWuSvK+q/j7J25LctHgPc93d3S9L8o9JXpjkb5P8ZvYuA3+zctgBbOEM\nx4Jw79apJM/r7tuSvD9JLd7DfH+W5E+S3J+94N3U3f+ydtKBbeEMSwn37lSSLya5paoeSPLyxXvY\ngO7+UpKfyt7jhv9M8ndrFx3cFs6wmmfcu3Nzki939ztWD2G27r6Y5OJlX78qSarqv5Pct2bVwWzh\nDMeJG/cOVNWZJOez91YQjlxVfSDJv3f3w6u3XKktnGEVN+4d6O57k9y7egfb1d3nV284rC2cYRU3\nboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgmKv9//J+e5JU1aOrhxzSySSPV9XF\n1UMO4Wf2f53+uRWnkjyyesQhXZckw19Pyd4/i0urR+zC1R7urXg882Pxc/u/Tg/3ydUD+D+Xktyz\nesQuVHev3rDMUzeK7j69dglPvevp7utXbzmMLZzDz8Xx5xk3wDDCDTCMcAMMI9wAwwg3wDDCDTCM\ncAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMMI9wAwwg3wDDC\nDTCMcAMMI9wAwwg3wDDCDTCMcO9IVZ2uqjtX77hSl++vqjdU1f1VNe71soVzbOEMHK0TqwdwvFXV\nrUnemuR13f3k6j1Xagvn2MIZOBrCvWNVdV+SG5P8V5Lf6u7HFk86iBcn+fUkv9Hd36uqO5K8MsmT\nSX6/u7+6ctwBbOEcWzgDR8Tbrd17U3ffnuS+JGdWjzmgVyf5WHd/s6pemuQF3X06e7e+dy5ddjBb\nOMcWzsARcePerWuSvK+qXpLk2iQfXrznoO5KcmtVvSZ7+09X1cX97z28bNXBbeEcWzgDR0S4d+tU\nkke6+7aq+oMkL1g96ICeyN67hAeTvC3Jg9399iSpqueuHHZAWzjHFs7AEfGoZHcqyReT3FJVDyR5\n+eI9V6S7v5XkXJK/SPJvVXWxqj6V5PfWLjuYLZxjC2fgaFR3r96wzFNvNfefFR71330uycnuvuuo\n/+4tqqpHk6S7r1+95TC2cI5d/lxwNNy4d6CqziQ5n+T+1VuA7fGMewe6+94k967eAWyTGzfAMMIN\nMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwxztX9Wye3JDz4NjaVOJnl89YgjcF0y\n/jV1Ksml1SN4Zm7cHBePJ3lk9QiS7EX7ntUjeGZX9Y27u2v1BvYMv6Fe7qHEZ1mzW27cAMMIN8Aw\nwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMI\nN8Awwg0wjHADDCPcAMMIN8Awwg0wjHADDCPcAMMIN5tXVbdX1YWqulhVn6yqW1dvgsM4sXoA7FJV\n3ZDk3Ule392PVdXzk9xy2fef091PLhsIV0C42brXJvlQdz+WJN397SSfrarPJfl8ki8kee/CfXBg\nws3W3ZS9QKeqziZ5S5LPJLk5ySu6+zsLt8EV8YybrXs4e/FOd9+T5I1JbkjyJdFmKuFm6z6a5FxV\nXbf/9VPvMj3XZiyPSti07v5GVb0ryUeq6skkT2TvmfZ7lg6DQxBuNq+7LyS58LQ/fvrXMIZHJQDD\nCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDCDfAMMINMIxwAwwj3ADDVHev3gCpqqdeiP+x\ndMjhnUzyle5+8eohbJcbN8AwPo+b4+KhJOnu04t3HEpVXVy9ge1z4wYYRrgBhhFugGGEG2AY4QYY\nRrgBhhFugGGEG2AY4QYYRrgBhhFugGGEG2AY4QYYRrgBhhFugGGEG2AY4QYYRrgBhhFugGGEG2AY\n4QYYRrgBhhFugGGEG2AY4QYYRrgBhhFuNq+qbq+qC1V1sao+WVW3rt4Eh3Fi9QDYpaq6Icm7k7y+\nux+rqucnueWy7z+nu59cNhCugHCzda9N8qHufixJuvvbST5bVZ9L8vkkX0jy3oX74MCEm627KXuB\nTlWdTfKWJJ9JcnOSV3T3dxZugyviGTdb93D24p3uvifJG5PckORLos1Uws3WfTTJuaq6bv/rp95l\neq7NWB6VsGnd/Y2qeleSj1TVk0meyN4z7fcsHQaHINxsXndfSHLhaX/89K9hDI9KAIYRboBhhBtg\nGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYa5qj8dsKrOJzm7egdJklNJHlk9\nAia42m/cZ7MXDNY7meTG1SNggqv6xr3vUnefXj3ialdVj67eAFNc7TdugHGEG2AY4QYYRrgBhhFu\ngGGEG2AY4QYYRrgBhhFugGGEG2AY4QYYRrgBhhFugGGEG2AY4QYYRrgBhhFugGGEG2AY4QYYRrgB\nhhFugGGEG2AY4QYYRrgBhhFugGGEeweq6nRV3bn/+zdU1f1VNe5/68vPMdlWzgFPObF6wJZV1a1J\n3prkdd395Oo9wDaMuwUO8uIkf57kt7v7e1V1R1VdrKoLVfWitdMOpqr+uKo+vb/9hav3XKmtnAOE\ne3deneRj3f3Nqnppkhd09+ns3cDfuXTZwfx0kld2961J7sis7ZfbyjlAuHforiS3VtVrkvxCktNV\ndXH/z69dOeyAXpTkn/d//09Jblk35VBelG2cAzzj3qEnkpxJ8mCStyV5sLvfniRV9dyVww7oq0l+\naf/3L0vylXVTDuWr2cY5QLh3qbu/VVXnktyd5MP7N+5O8tdJPrBy24+oknw9yVeq6h+SfD/J766d\ndEW2cg5IklR3r96wzH5Is//smafZ/5fOye6+61n473o0Sbr7+h383c/mOS4mXlPslmfc/FBVdSbJ\n+ST3r95yGFs5B1zOjTtuR8fBLm/czyavKZ4NbtwAwwg3wDDCDTCMcAMMI9wAwwg3wDDCDTCMcAMM\nI9wAwwg3wDDCDTDM1f6xrrcnP/h8CZa6LtnEP4tTSS6tHsG2uXHD0bqU5J7VI9i2q/rTAQEmcuMG\nGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtg\nGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBhhBtgGOEGGEa4AYYRboBh\nhBtgGOEGGEa4AYYRboBhhBtgGOEGGOZ/AZqYvVlTR0zuAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x10eeaca20>"
+       "<matplotlib.figure.Figure at 0x1104bf208>"
       ]
      },
      "metadata": {},
@@ -258,303 +231,70 @@
    "source": [
     "# All the Names\n",
     "\n",
-    "Now let's try **all** the names from `xkcd 1970`, as reported \n",
-    "by [explainxkcd](http://www.explainxkcd.com/wiki/index.php/1970:_Name_Dominoes), with a few typos corrected:"
+    "Now let's try all the names from the comic, courtesy of \n",
+    " [explainxkcd](http://www.explainxkcd.com/wiki/index.php/1970:_Name_Dominoes), with a few typos corrected:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def split_names(text):\n",
     "    \"For each line of text, create a tile of ('First Name(s)', 'Lastname').\"\n",
-    "    return [name.rpartition(' ')[0::2]\n",
-    "            for name in text.strip().splitlines()]\n",
-    "            \n",
-    "tiles1970 = split_names(\"\"\"\n",
-    "Christian Campbell\n",
-    "Neve Campbell\n",
-    "Joe McCarthy\n",
-    "Eugene McCarthy\n",
-    "Gene Vincent\n",
-    "Gene Kelly\n",
-    "Kate Hudson\n",
-    "Rock Hudson\n",
-    "Gordon Brown\n",
-    "James Brown\n",
-    "Jon Brown\n",
-    "John Howard\n",
-    "Columbo\n",
-    "Chris Columbus\n",
-    "Christopher Columbus\n",
-    "Naomi Campbell\n",
-    "Joseph Campbell\n",
-    "Joseph Smith\n",
-    "Frank Vincent\n",
-    "John Kelly\n",
-    "Katherine Johnson\n",
-    "The Rock\n",
-    "Chris Rock\n",
-    "Chris Isaac\n",
-    "James Newton Howard\n",
-    "John Wayne\n",
-    "Howard Stern\n",
-    "Howard Hunt\n",
-    "Chris Hughes\n",
-    "Naomi Watts\n",
-    "Naomi Klein\n",
-    "Kevin Kline\n",
-    "Francis Bacon\n",
-    "Francis Drake\n",
-    "Lyndon Johnson\n",
-    "Oscar The Grouch\n",
-    "Oscar Isaac\n",
-    "Isaac Hayes\n",
-    "Isaac Newton\n",
-    "Wayne Newton\n",
-    "Wayne Knight\n",
-    "Helen Hunt\n",
-    "Helen Hughes\n",
-    "James Watt\n",
-    "James Watt\n",
-    "Kevin Costner\n",
-    "Kevin Bacon\n",
-    "Kevin Love\n",
-    "Lisa Frank\n",
-    "Frank Drake\n",
-    "Drake\n",
-    "Oscar de la Renta\n",
-    "Oscar de la Hoya\n",
-    "Sean Hayes\n",
-    "Wallace Shawn\n",
-    "Wayne Howard\n",
-    "Wayne Brady\n",
-    "James Brady\n",
-    "Tom Brady\n",
-    "Helen Thomas\n",
-    "Tom Hanks\n",
-    "Hank Aaron\n",
-    "Aaron Carter\n",
-    "Stephen James\n",
-    "Will Smith\n",
-    "Kevin Smith\n",
-    "Kein James\n",
-    "Garfield\n",
-    "James Garfield\n",
-    "Warren Buffett\n",
-    "Jimmy Buffett\n",
-    "Warren Beatty\n",
-    "Elizabeth Warren\n",
-    "Earl Warren\n",
-    "Eliabeth Kolbert\n",
-    "Stephen Colbert\n",
-    "George Wallace\n",
-    "Charles Wallace\n",
-    "James Monroe\n",
-    "Marilyn Monroe\n",
-    "Hank Williams\n",
-    "William C. Williams\n",
-    "Steve Harvey\n",
-    "Domino Harvey\n",
-    "Harvey Milk\n",
-    "James Saint James\n",
-    "Etta James\n",
-    "Jim Jones\n",
-    "James Earl Jones\n",
-    "Charlie Parker\n",
-    "Ray Parker\n",
-    "Ray Charles\n",
-    "Charles Manson\n",
-    "Marilyn Manson\n",
-    "Robin Williams\n",
-    "Billy D. Williams\n",
-    "Will Wright\n",
-    "Fats Domino\n",
-    "Bill Clinton\n",
-    "Jimmy John\n",
-    "Tom Jones\n",
-    "Tommy John\n",
-    "Quincy Jones\n",
-    "James Earl Ray\n",
-    "Man Ray\n",
-    "Rachel Ray\n",
-    "Ray Allen\n",
-    "Tim Allen\n",
-    "Tim Cook\n",
-    "Tim Howard\n",
-    "Robin Wright\n",
-    "Wilbur Wright\n",
-    "Fatty Arbuckle\n",
-    "Fat Joe\n",
-    "George Clinton\n",
-    "John Kerry\n",
-    "Kerry Washington\n",
-    "John Irving\n",
-    "John Quincy Adams\n",
-    "John Adams\n",
-    "Amy Adams\n",
-    "Aimee Mann\n",
-    "Super Man\n",
-    "Bat Man\n",
-    "Ayn Rand\n",
-    "Lily Allen\n",
-    "Paul Allen\n",
-    "Ron Howard\n",
-    "Howard Hughes\n",
-    "Joe Kennedy\n",
-    "George Bush\n",
-    "George Wasington\n",
-    "Wasington Irving\n",
-    "Martha Wasington\n",
-    "Ma Rainey\n",
-    "Jack Ma\n",
-    "Super Grover\n",
-    "Jack Black\n",
-    "Rand Paul\n",
-    "Paul Ryan\n",
-    "Paul Simon\n",
-    "Ron Paul\n",
-    "John Hughes\n",
-    "Langston Hughes\n",
-    "John F. Kennedy\n",
-    "Little Richard\n",
-    "Rich Little\n",
-    "Martha Stewart\n",
-    "Yo Yo Ma\n",
-    "Ma Bell\n",
-    "Grover Cleveland Alexander\n",
-    "Grover Cleveland\n",
-    "Jack White\n",
-    "Jack Ryan\n",
-    "Debby Ryan\n",
-    "Carly Simon\n",
-    "Carly Hughes\n",
-    "Charles Evans Hughes\n",
-    "John Williams\n",
-    "Little John\n",
-    "Stuart Little\n",
-    "Potter Stewart\n",
-    "Kristen Stewart\n",
-    "Kristen Bell\n",
-    "Kristen Hooks\n",
-    "Alexander Graham Bell\n",
-    "Franklin Graham\n",
-    "Lloyd Alexander\n",
-    "Meg White\n",
-    "Meg Ryan\n",
-    "Debbie Reynolds\n",
-    "John Reynolds\n",
-    "Carly Fiorina\n",
-    "Grace Lee Boggs\n",
-    "Wade Boggs\n",
-    "William Safire\n",
-    "Prince William\n",
-    "Little Prince\n",
-    "Harry Potter\n",
-    "James Potter\n",
-    "James Hook\n",
-    "James Dean\n",
-    "Aretha Franklin\n",
-    "Frank Lloyd Wright\n",
-    "Barry White\n",
-    "Walter White\n",
-    "Walt Whitman\n",
-    "John Kelly\n",
-    "Grace Lee\n",
-    "Nancy Grace\n",
-    "Garnet\n",
-    "Prince\n",
-    "Prince Felder\n",
-    "Prince Harry\n",
-    "Harry Styles\n",
-    "John Dean\n",
-    "Benjamin Franklin\n",
-    "Harrold Lloyd\n",
-    "Harrold Ford\n",
-    "Betty White\n",
-    "Meg Whitman\n",
-    "Christine Todd Whitman\n",
-    "Megyn Kelly\n",
-    "Grace Kelly\n",
-    "Grace Jones\n",
-    "Jack Nicholson\n",
-    "Jack Ruby\n",
-    "Jack Russel\n",
-    "Harry Fielder\n",
-    "Harry Trueman\n",
-    "Harry Jon Benjamin\n",
-    "John Edward\n",
-    "Benjamin Harrison\n",
-    "Harrison Ford\n",
-    "Henry Ford\n",
-    "Betty Ford\n",
-    "Betty Friedan\n",
-    "Chris Christie\n",
-    "Chris Pratt\n",
-    "Maggie Grace\n",
-    "Grace Hopper\n",
-    "Russel Crowe\n",
-    "Russ Smith\n",
-    "John Smith\n",
-    "Justin Long\n",
-    "John Bel Edwards\n",
-    "John Candy\n",
-    "John Henry\n",
-    "Henry James\n",
-    "Bill James\n",
-    "Chris Cooper\n",
-    "Chris Hemsworth\n",
-    "Chris Evans\n",
-    "Topher Grace\n",
-    "Van Morrison\n",
-    "Sheryl Crow\n",
-    "Sheryl Sandberg\n",
-    "Cameron Crow\n",
-    "Long John Silver\n",
-    "Olivia Newton John\n",
-    "Huey Long\n",
-    "John Edwards\n",
-    "Candy Crowley\n",
-    "Aleister Crowley\n",
-    "James Fenimore Cooper\n",
-    "James Cook\n",
-    "Robert Frost\n",
-    "Bob Evans\n",
-    "Evan Tayler Jones\n",
-    "James Cameron\n",
-    "Cam Newton\n",
-    "Cameron Diaz\n",
-    "Huey Newton\n",
-    "Huey Lewis\n",
-    "John Lewis\n",
-    "Jenny Lewis\n",
-    "Ryan Lewis\n",
-    "Burt Reynolds\n",
-    "Alistair Cooke\n",
-    "Alistair Cookie\n",
-    "Cokie Roberts\n",
-    "John Roberts\n",
-    "Robert Johnson\n",
-    "Robert E. Lee\n",
-    "Tommy Lee\n",
-    "Tommy Lee Jones\n",
-    "Etta James\n",
-    "John Oliver\n",
-    "Ryan Reynolds\n",
-    "Alastair Reynolds\n",
-    "\"\"\")"
+    "    return [name.strip().rpartition(' ')[0::2]\n",
+    "            for name in text.upper().split(',')]\n",
+    "           \n",
+    "xkcdtiles = split_names(\"\"\"Christian Campbell, Neve Campbell, Joe McCarthy, Eugene McCarthy, \n",
+    "  Gene Vincent, Gene Kelly, Kate Hudson, Rock Hudson, Gordon Brown, James Brown, Jon Brown, \n",
+    "  John Howard, Columbo, Chris Columbus, Christopher Columbus, Naomi Campbell, Joseph Campbell, \n",
+    "  Joseph Smith, Frank Vincent, John Kelly, Katherine Johnson, The Rock, Chris Rock, Chris Isaac, \n",
+    "  James Newton Howard, John Wayne, Howard Stern, Howard Hunt, Chris Hughes, Naomi Watts, \n",
+    "  Naomi Klein, Kevin Kline, Francis Bacon, Francis Drake, Lyndon Johnson, Oscar The Grouch, \n",
+    "  Oscar Isaac, Isaac Hayes, Isaac Newton, Wayne Newton, Wayne Knight, Helen Hunt, Helen Hughes, \n",
+    "  James Watt, James Watt, Kevin Costner, Kevin Bacon, Kevin Love, Lisa Frank, Frank Drake, Drake, \n",
+    "  Oscar de la Renta, Oscar de la Hoya, Sean Hayes, Wallace Shawn, Wayne Howard, Wayne Brady, \n",
+    "  James Brady, Tom Brady, Helen Thomas, Tom Hanks, Hank Aaron, Aaron Carter, Stephen James, \n",
+    "  Will Smith, Kevin Smith, Kein James, Garfield, James Garfield, Warren Buffett, Jimmy Buffett, \n",
+    "  Warren Beatty, Elizabeth Warren, Earl Warren, Eliabeth Kolbert, Stephen Colbert, George Wallace, \n",
+    "  Charles Wallace, James Monroe, Marilyn Monroe, Hank Williams, William C. Williams, Steve Harvey, \n",
+    "  Domino Harvey, Harvey Milk, James Saint James, Etta James, Jim Jones, James Earl Jones, \n",
+    "  Charlie Parker, Ray Parker, Ray Charles, Charles Manson, Marilyn Manson, Robin Williams, \n",
+    "  Billy D. Williams, Will Wright, Fats Domino, Bill Clinton, Jimmy John, Tom Jones, Tommy John, \n",
+    "  Quincy Jones, James Earl Ray, Man Ray, Rachel Ray, Ray Allen, Tim Allen, Tim Cook, Tim Howard, \n",
+    "  Robin Wright, Wilbur Wright, Fatty Arbuckle, Fat Joe, George Clinton, John Kerry, \n",
+    "  Kerry Washington, John Irving, John Quincy Adams, John Adams, Amy Adams, Aimee Mann, Super Man, \n",
+    "  Bat Man, Ayn Rand, Lily Allen, Paul Allen, Ron Howard, Howard Hughes, Joe Kennedy, George Bush, \n",
+    "  George Wasington, Wasington Irving, Martha Wasington, Ma Rainey, Jack Ma, Super Grover, \n",
+    "  Jack Black, Rand Paul, Paul Ryan, Paul Simon, Ron Paul, John Hughes, Langston Hughes, \n",
+    "  John F. Kennedy, Little Richard, Rich Little, Martha Stewart, Yo Yo Ma, Ma Bell, \n",
+    "  Grover Cleveland Alexander, Grover Cleveland, Jack White, Jack Ryan, Debby Ryan, Carly Simon, \n",
+    "  Carly Hughes, Charles Evans Hughes, John Williams, Little John, Stuart Little, Potter Stewart, \n",
+    "  Kristen Stewart, Kristen Bell, Kristen Hooks, Alexander Graham Bell, Franklin Graham, \n",
+    "  Lloyd Alexander, Meg White, Meg Ryan, Debbie Reynolds, John Reynolds, Carly Fiorina, \n",
+    "  Grace Lee Boggs, Wade Boggs, William Safire, Prince William, Little Prince, Harry Potter, \n",
+    "  James Potter, James Hook, James Dean, Aretha Franklin, Frank Lloyd Wright, Barry White, \n",
+    "  Walter White, Walt Whitman, John Kelly, Grace Lee, Nancy Grace, Garnet, Prince, Prince Felder, \n",
+    "  Prince Harry, Harry Styles, John Dean, Benjamin Franklin, Harrold Lloyd, Harrold Ford, \n",
+    "  Betty White, Meg Whitman, Christine Todd Whitman, Megyn Kelly, Grace Kelly, Grace Jones, \n",
+    "  Jack Nicholson, Jack Ruby, Jack Russel, Harry Fielder, Harry Truman, Harry Jon Benjamin, \n",
+    "  John Edward, Benjamin Harrison, Harrison Ford, Henry Ford, Betty Ford, Betty Friedan, \n",
+    "  Chris Christie, Chris Pratt, Maggie Grace, Grace Hopper, Russel Crowe, Russ Smith, John Smith, \n",
+    "  Justin Long, John Bel Edwards, John Candy, John Henry, Henry James, Bill James, Chris Cooper, \n",
+    "  Chris Hemsworth, Chris Evans, Topher Grace, Van Morrison, Sheryl Crow, Sheryl Sandberg, \n",
+    "  Cameron Crow, Long John Silver, Olivia Newton John, Huey Long, John Edwards, Candy Crowley, \n",
+    "  Aleister Crowley, James Fenimore Cooper, James Cook, Robert Frost, Bob Evans, Evan Tayler Jones, \n",
+    "  James Cameron, Cam Newton, Cameron Diaz, Huey Newton, Huey Lewis, John Lewis, Jenny Lewis, \n",
+    "  Ryan Lewis, Burt Reynolds, Alistair Cooke, Alistair Cookie, Cokie Roberts, John Roberts, \n",
+    "  Robert Johnson, Robert E. Lee, Tommy Lee, Tommy Lee Jones, Etta James, John Oliver, \n",
+    "  Ryan Reynolds, Alastair Reynolds\"\"\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -568,28 +308,26 @@
     }
    ],
    "source": [
-    "len(tiles1970)"
+    "len(xkcdtiles)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[('Bill', 'Clinton'),\n",
-       " ('Kristen', 'Stewart'),\n",
-       " ('James Earl', 'Ray'),\n",
-       " ('Barry', 'White'),\n",
-       " ('Kevin', 'Costner'),\n",
-       " ('Grace', 'Lee'),\n",
-       " ('Carly', 'Hughes'),\n",
-       " ('Ma', 'Bell'),\n",
-       " ('Chris', 'Cooper')]"
+       "[('RAY', 'ALLEN'),\n",
+       " ('HARVEY', 'MILK'),\n",
+       " ('LONG JOHN', 'SILVER'),\n",
+       " ('MARILYN', 'MONROE'),\n",
+       " ('', 'PRINCE'),\n",
+       " ('JON', 'BROWN'),\n",
+       " ('WAYNE', 'NEWTON'),\n",
+       " ('JOHN', 'CANDY'),\n",
+       " ('HENRY', 'JAMES')]"
       ]
      },
      "execution_count": 9,
@@ -598,7 +336,7 @@
     }
    ],
    "source": [
-    "random.sample(tiles1970, 9)"
+    "random.sample(xkcdtiles, 9)"
    ]
   },
   {
@@ -607,32 +345,27 @@
    "source": [
     "# Approximate and Partial Matches\n",
     "\n",
-    "The halves of two tiles match if they are an exact match, like \"Amy\" and \"Amy\", but also if they are an **approximate match**, like \"Amy\" and \"Aimee\". You can manually define allowable approximate matches like this:\n",
+    "Two tile halves match if they are an exact match, like \"ADAMS\" and \"ADAMS\", or if they are an **approximate match**, like \"AMY\" and \"AIMEE\". To accomodate this, you can manually define allowable approximate matches by making the global variable `synsets` (synonym sets) be a mapping from a name to the set of approximate matches it should match, which can be done like this:\n",
     "\n",
-    "     synsets = synonyms(\"Amy=Aimee, ...\")\n",
+    "     synsets = synonyms(\"AMY=AIMEE, COOK=COOKE=COOKIE=COKIE, ...\")\n",
     "\n",
-    "The idea is that this creates *synonym sets*, or `synsets`.\n",
-    "Another issue is  a **partial match**: \"John Smith\" is allowed to match \"Long John Silver\"\n",
-    "because the first name \"John\" is a piece of the first name \"Long John\". In the 1970 comic, this was drawn with one domino touching the middle of another; I won't do that, but I will allow, for first names that have multiple parts, for another tile to match any one of the parts. The second argument to `synsets`, is a list of tiles; `synonyms` will go through these and add synset entries for paets of first names. \n",
-    "\n",
-    "I also update `legal_match` to consult the `synsets` global variable for an approximate or partial match, and to handle a special case: a single names like \"Prince\" gets represented as the tile `('', 'Prince')`, but we don't want the empty first name of this tile to match the empty first name of \"Drake\", so we disallow an empty-to-empty match."
+    "Another issue is  a **partial match**: in the comic, some tiles, like \"FRANK LLOYD WRIGHT\" are 3 squares wide, and some, like \"PRINCE\" are only one square wide. For simplicity, I chose to have all my tiles be 2 squares wide, but I still want `'LLOYD'` to match the first name of `('FRANK LLOYD', 'WRIGHT')`. To accomplish this, the second argument to `synonyms` is a list of tiles; the function will go through these and add synset entries for parts of first names,\n",
+    "so that both `'FRANK'` and `'LLOYD'` will match `'FRANK LLOYD'`. As for \"PRINCE\", he gets represented as the tile `('', 'PRINCE')`. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import collections\n",
     "\n",
     "def synonyms(text, tiles=()): \n",
-    "    \"synonyms('a=A, b=B') => dict(a={'a', 'A'}, A={'a', 'A'}, b={'b', 'B'}, B={'b', 'B'}\"\n",
+    "    \"synonyms('AMY=AIMEE') => dict(AMY={'AMY', 'AIMEE'}, AIMEE={'AMY', 'AIMEE'})\"\n",
     "    synsets = collections.defaultdict(set)\n",
     "    # Process `text`\n",
-    "    for text1 in text.split(','):\n",
+    "    for text1 in text.upper().split(','):\n",
     "        synset = set(text1.strip().split('='))\n",
     "        for s in synset:\n",
     "            synsets[s] |= synset\n",
@@ -644,33 +377,38 @@
     "                synsets[first].add(piece)\n",
     "    return synsets\n",
     "\n",
-    "def legal(value, loc, board):\n",
-    "    \"Is it legal to place this value on this location on board?\"\n",
-    "    return (board.get(loc) is empty and\n",
-    "            all(legal_match(value, board.get(nbr)) for nbr in neighbors(loc)))\n",
-    "\n",
-    "def legal_match(value, nbrval):\n",
-    "    \"Does this value match the neighbor's value?\"\n",
-    "    return (nbrval in (empty, border) or \n",
-    "            nbrval == value != '' or\n",
-    "            nbrval in synsets[value])"
+    "synsets = synonyms(\"\"\"AMY=AIMEE, COOK=COOKE=COOKIE=COKIE, ALASTAIR=ALISTAIR, \n",
+    "  COLUMBO=COLUMBUS, SAFIRE=SAPPHIRE=GARNET, GARNET=RUBY, CHARLIE=CHARLES, SEAN=SHAWN,\n",
+    "  JIMMY=JAMES, MAN=MANN, JACK=JOHN, TOM=TOMMY, WILL=WILLIAM=WILLIAMS, ROBERT=ROBERTS=BOB, \n",
+    "  CAM=CAMERON, OLIVER=OLIVIA, EDWARD=EDWARDS, RICH=RICHARD, CHRIS=CHRISTOPHER=TOPHER, \n",
+    "  FAT=FATS=FATTY, WALT=WALTER, HANK=HANKS\"\"\", xkcdtiles)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "To make this work, I update `legal` to call the new function `match_neighbor` for each neighbor; this checks for empties, borders, and exact matches just like before, but it also consults the `synsets` global variable for an approximate or partial match, and it disallows a match between two empty values, so you can't match the empty first name of \"PRINCE\" with the empty first name of \"DRAKE\"."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "synsets = synonyms(\"\"\"\n",
-    "  Amy=Aimee, Cook=Cooke=Cookie=Cokie, Alastair=Alistair, Columbo=Columbus, \n",
-    "  Safire=Sapphire=Garnet, Garnet=Ruby, Charlie=Charles, Sean=Shawn, \n",
-    "  Jimmy=James, Man=Mann, Jack=John, Tom=Tommy, Will=William=Williams, \n",
-    "  Robert=Roberts=Bob, Cam=Cameron, Oliver=Olivia, Edward=Edwards, \n",
-    "  Rich=Richard, Chris=Christopher=Topher, Fat=Fats=Fatty\n",
-    "  \"\"\", tiles1970)"
+    "def legal(value, loc, board):\n",
+    "    \"Is it legal to place this value on this location on board?\"\n",
+    "    return (board.get(loc) is empty and\n",
+    "            all(match_neighbor(value, board.get(nbr)) for nbr in neighbors(loc)))\n",
+    "\n",
+    "def match_neighbor(value, nbrval):\n",
+    "    \"Does this value match the neighbor's value?\"\n",
+    "    return (nbrval in (empty, border) or \n",
+    "            nbrval == value != '' or\n",
+    "            nbrval in synsets[value])"
    ]
   },
   {
@@ -679,34 +417,39 @@
    "source": [
     "# Random Restart\n",
     "\n",
-    "The program sometimes gets stuck before it has placed enough tiles. I could modify the program to *back up* in this case, but it will be easier to just *give up* and restart with an empty board. I can restart multiple times, and take the board on which the most tiles were placed. The function `restart_dominoes` does this."
+    "The program sometimes gets stuck after placing a relatively small number of tiles. I could modify the program to *back up* in this case, but it will be easier to just *give up* and restart with an empty board. I can restart multiple times, and accept the board on which the most tiles were placed. The function `restart_dominoes` does this. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "def restart_dominoes(tiles, width=16, height=24, repeat=50):\n",
-    "    return max((dominoes(tiles, width, height) for _ in range(repeat)), \n",
+    "def restart_dominoes(tiles, width=16, height=24, restarts=100):\n",
+    "    return max((dominoes(tiles, width, height) for _ in range(restarts)), \n",
     "                key=lambda board: len(board.boxes))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Final Results\n",
+    "\n",
+    "Let's see what we can generate, and compare it to the original comic. *Note:* By default, I'm using a 16×24 square board; the xkcd comic uses 27×35, but if I try to fit that many then each tile will be smaller, and the names overflow the sides of the dominoes too much. (As it is, only a few names, like \"OLIVIA NEWTON JOHN\" overflow.)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Fz2qzjncAa+hud5+00P0I0xOTnAP8G3BdaxfOAL6U5Kd0t+QA3ELXcTs1yWHt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\nSZIkSVJXJqKSJEmSpK5MRCVJkiRJXZmISpIkSZK6M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+      "image/png": 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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1156f4e80>"
+       "<matplotlib.figure.Figure at 0x11868c828>"
       ]
      },
      "metadata": {},
@@ -714,7 +457,18 @@
     }
    ],
    "source": [
-    "plot_board(restart_dominoes(tiles1970))"
+    "plot_board(restart_dominoes(xkcdtiles))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://imgs.xkcd.com/comics/name_dominoes_2x.png)\n",
+    "\n",
+    "I'm happy with the results, but here are some ideas for improvements, if you want something to work on:\n",
+    "- Allow tiles that are 1 or 3 squares wide, like `('PRINCE',)` or `('FRANK', 'LLOYD', 'WRIGHT')`.\n",
+    "- Print names horizontally in tiles that are placed horizontally, and upside down for tiles that are placed vertically, but with the first name on the right.\n"
    ]
   }
  ],
@@ -734,7 +488,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.5.3"
   }
  },
  "nbformat": 4,