{
"cell_type": "code",
"execution_count": 10,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"# neighbours = {w: [n for n in adjacents(w) if n in words]\n",
{
"cell_type": "code",
"execution_count": 17,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"worddict = {w: True for w in words}\n",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.5.2+"
+ "version": "3.5.3"
}
},
"nbformat": 4,