{
"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": "3.6.3"
},
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import display, HTML\n",
"import spot\n",
"spot.setup(size='5.4,5')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This shows the effect of running `cleanup_acceptance()` on 10 randomly generated automata."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"txt = \"
| before | after |
|---|
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 2,
"text": [
"