Adding python functions to mirror the functionalities found in src/bin
* wrap/python/spot.i: Rename to... * wrap/python/spot_impl.i: ...this, and import spot_impl from spot.py so that it is not needed to recompile everything when modifying python code. * wrap/python/spot.py: Adding python functions to mirror the functionalities found in src/bin. * src/bin/common_r.cc: Move simplification level... * src/ltlvisit/simplify.hh: ... here as a constructor of ltl_simplifier_options, to make it available in wrap/python. * src/bin/ltlfilt.cc: Set simplification level using the new ltl_simplifier_options constructor. * src/bin/randltl.cc: Move most of the code... * src/ltlvisit/randomltl.cc, src/ltlvisit/randomltl.hh: ... here, as a class named randltlgenerator. * wrap/python/tests/bddnqueen.py, wrap/python/tests/minato.py: Avoid calling bdd_init twice by moving 'import spot' after bdd initialization. * wrap/python/Makefile.am: Rename spot to spot_impl * wrap/python/tests/Makefile.am: Add ipnbdoctest.py. * wrap/python/.gitignore: Rename spot.py to spot_impl.py * src/ltlvisit/tostring.cc: \ttrue and \ffalse should be \top and \bot. * wrap/python/tests/ipnbdoctest.py: Run code cells of a python notebook and compare the output to the actual content of the notebook. * wrap/python/tests/randltl.ipynb: Document and test randltl. * wrap/python/tests/run.in: Call ipnbdoctest.py to run ipython notebooks.
This commit is contained in:
Thibaud Michaud
Alexandre Duret-Lutz
parent
cb9867b7d4
commit
3bf3d2c8a1
17 changed files with 1528 additions and 257 deletions
632
wrap/python/tests/randltl.ipynb
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632
wrap/python/tests/randltl.ipynb
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{
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"metadata": {
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"name": "",
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"signature": "sha256:b16de2c9883c0fecb450f9d7f4885937abcfc1d1fef584d47109fcee13a68c9a"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "heading",
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"level": 1,
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"metadata": {},
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"source": [
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"Documentation for spot's randltl python binding"
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]
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},
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{
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"cell_type": "code",
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"collapsed": true,
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"input": [
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"import spot"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 1
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},
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{
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"cell_type": "heading",
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"level": 2,
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"metadata": {},
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"source": [
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"Basic usage"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Generate random formulas from specified atomic propositions:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(['a', 'b', 'c'])\n",
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"for i in range(3):\n",
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" print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"0\n",
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"0 R b\n",
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"F(XG(F!b M Fb) W (b R a))\n"
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]
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}
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],
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"prompt_number": 2
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Generate random formulas using 3 atomic propositions:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3)\n",
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"for i in range(3):\n",
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" print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"0\n",
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"0 R p1\n",
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"F(XG(F!p1 M Fp1) W (p1 R p0))\n"
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]
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}
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],
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"prompt_number": 3
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"By default, there is no limit to the number of formulas generated.<br/>\n",
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"To specify a number of formulas:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3, 4)\n",
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"for formula in f:\n",
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" print(formula)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"0\n",
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"0 R p1\n",
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"F(XG(F!p1 M Fp1) W (p1 R p0))\n",
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"F(p0 R !p2)\n"
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]
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}
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],
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"prompt_number": 4
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},
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{
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"cell_type": "heading",
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"level": 2,
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"metadata": {},
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"source": [
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"Keyword arguments"
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]
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},
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{
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"cell_type": "heading",
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"level": 2,
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"metadata": {},
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"source": [
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"seed"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Seed for the pseudo random number generator (default: 0)."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3, seed=11)\n",
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"print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"G(p1 U Gp0)\n"
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]
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}
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],
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"prompt_number": 12
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},
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{
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"cell_type": "heading",
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"level": 3,
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"metadata": {},
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"source": [
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"output"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Type of formulas to output: 'ltl', 'psl', 'bool' or 'sere' (default: 'ltl')."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3, output='psl', seed=332)\n",
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"print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"{{p0 && p2}[*]}<>-> (Fp2 & Fp0)\n"
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]
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}
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],
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"prompt_number": 26
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},
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{
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"cell_type": "heading",
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"level": 3,
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"metadata": {},
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"source": [
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"allow_dups"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Allow duplicate formulas (default: False)."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(1, allow_dups=True)\n",
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"print(next(f))\n",
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"print(next(f))\n",
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"print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"0\n",
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"0\n",
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"Fp0\n"
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]
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}
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],
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"prompt_number": 27
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},
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{
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"cell_type": "heading",
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"level": 3,
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"metadata": {},
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"source": [
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"tree_size"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Tree size of the formulas generated, before mandatory simplifications (default: 15)."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3, tree_size=30, seed=11)\n",
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"print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"G(((p0 U !Xp2) M Gp2) U Gp0)\n"
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]
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}
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],
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"prompt_number": 29
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"A range can be specified as a tuple:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3, tree_size=(1, 40))\n",
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"print(next(f))\n",
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"print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"X!(Gp2 M p1) R (!p1 M Xp2)\n",
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"F(G(F(Gp0 R (1 U Fp1)) M (p1 -> Gp0)) M F((p0 | Fp0) W Gp1))\n"
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]
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}
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],
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"prompt_number": 30
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},
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{
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"cell_type": "heading",
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"level": 3,
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"metadata": {},
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"source": [
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"boolean_priorities, ltl_priorities, sere_priorities, dump_priorities"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"f = spot.randltl(3, output='bool', boolean_priorities='and=10,or=0')\n",
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"for i in range(5):\n",
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" print(next(f))"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"0\n",
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"!p1 & (p1 <-> p2)\n",
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"p1\n",
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"p0 & ((p1 & p2) <-> !(!p0 & p1 & p2))\n",
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"1\n"
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]
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}
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],
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"prompt_number": 31
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"To see which operators are available along with their default priorities:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"spot.randltl(3, output='psl', dump_priorities=True)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"Use argument ltl_priorities=STRING to set the following LTL priorities:\n",
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"\n",
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"ap\t3\n",
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"false\t1\n",
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"true\t1\n",
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"not\t1\n",
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"F\t1\n",
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"G\t1\n",
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"X\t1\n",
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"Closure\t1\n",
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"equiv\t1\n",
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"implies\t1\n",
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"xor\t1\n",
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"R\t1\n",
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"U\t1\n",
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"W\t1\n",
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"M\t1\n",
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"and\t1\n",
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"or\t1\n",
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"EConcat\t1\n",
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"UConcat\t1\n",
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"\n",
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"Use argument sere_priorities=STRING to set the following SERE priorities:\n",
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"\n",
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"ap\t3\n",
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"false\t1\n",
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"true\t1\n",
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"not\t1\n",
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"F\t1\n",
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"G\t1\n",
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"X\t1\n",
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"Closure\t1\n",
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"equiv\t1\n",
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"implies\t1\n",
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"xor\t1\n",
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"R\t1\n",
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"U\t1\n",
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"W\t1\n",
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"M\t1\n",
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"and\t1\n",
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"or\t1\n",
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"EConcat\t1\n",
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"UConcat\t1\n",
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"eword\t1\n",
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"boolform\t1\n",
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"star\t1\n",
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"star_b\t1\n",
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"fstar\t1\n",
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"fstar_b\t1\n",
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"and\t1\n",
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"andNLM\t1\n",
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"or\t1\n",
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"concat\t1\n",
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"fusion\t1\n",
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"\n",
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"Use argument boolean_priorities=STRING to set the following Boolean formula priorities:\n",
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"\n",
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"ap\t3\n",
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"false\t1\n",
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"true\t1\n",
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"not\t1\n",
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"F\t1\n",
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"G\t1\n",
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"X\t1\n",
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"Closure\t1\n",
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"equiv\t1\n",
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"implies\t1\n",
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"xor\t1\n",
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"R\t1\n",
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"U\t1\n",
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"W\t1\n",
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"M\t1\n",
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"and\t1\n",
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"or\t1\n",
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"EConcat\t1\n",
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"UConcat\t1\n",
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"eword\t1\n",
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"boolform\t1\n",
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"star\t1\n",
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"star_b\t1\n",
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"fstar\t1\n",
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"fstar_b\t1\n",
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"and\t1\n",
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"andNLM\t1\n",
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"or\t1\n",
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"concat\t1\n",
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"fusion\t1\n",
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"ap\t3\n",
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"false\t1\n",
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"true\t1\n",
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"not\t1\n",
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"equiv\t1\n",
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"implies\t1\n",
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"xor\t1\n",
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"and\t1\n",
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"or\t1\n",
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"\n"
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]
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}
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],
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"prompt_number": 32
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},
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{
|
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"cell_type": "heading",
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"level": 3,
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"metadata": {},
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"source": [
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"simplify"
|
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"0 No rewriting<br/>\n",
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"1 basic rewritings and eventual/universal rules<br/>\n",
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"2 additional syntactic implication rules<br/>\n",
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"3 better implications using containment<br/>\n",
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"default: 3"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
|
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"f = spot.randltl(3, simplify=0, seed=5)\n",
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"print(next(f))\n",
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"f = spot.randltl(3, simplify=3, seed=5)\n",
|
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"print(next(f))"
|
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],
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"language": "python",
|
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"metadata": {},
|
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"outputs": [
|
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{
|
||||
"output_type": "stream",
|
||||
"stream": "stdout",
|
||||
"text": [
|
||||
"G!(!p2 & (Xp1 | F(p0 R Xp1)))\n",
|
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"G(p2 | (X!p1 & G(!p0 U X!p1)))\n"
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]
|
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}
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],
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||||
"prompt_number": 36
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 2,
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Filters and maps"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"most boolean functions found in the class formula can be used to filter the random formula generator like this:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"f = spot.randltl(3, 20).is_syntactic_stutter_invariant()\n",
|
||||
"for formula in f:\n",
|
||||
" print(formula)"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"stream": "stdout",
|
||||
"text": [
|
||||
"0\n",
|
||||
"0 R p1\n",
|
||||
"F(p0 R !p2)\n",
|
||||
"G(p0 | Fp1) W (FGp1 R !p1)\n",
|
||||
"(p1 R G!p2) | G(p1 U !p0)\n",
|
||||
"(p1 W p0) U p1\n",
|
||||
"F!G(!Gp2 W p2)\n",
|
||||
"G!p2 & (!((p1 & Fp2) M p2) U p2)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 40
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"likewise, functions from formula to formula can be applied to map the iterator:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"f = spot.randltl(2, 6).remove_x()\n",
|
||||
"for formula in f:\n",
|
||||
" print(formula)"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"stream": "stdout",
|
||||
"text": [
|
||||
"0\n",
|
||||
"!(F!p1 M 1)\n",
|
||||
"(Fp1 | Gp0) M 1\n",
|
||||
"F!(!p1 <-> FGp1)\n",
|
||||
"Gp1 U (p1 U GFp1)\n",
|
||||
"(!p1 U p1) U ((p0 & (p0 U (!p0 & (!p0 -> Fp1))) & ((p1 U !p0) | (!p1 U !p0))) | (!p0 & (!p0 U (p0 & (!p0 -> Fp1))) & ((!p1 U p0) | (p1 U p0))) | (p1 & (p1 U (!p1 & (!p0 -> Fp1))) & ((!p0 U !p1) | (p0 U !p1))) | (!p1 & (!p1 U (p1 & (!p0 -> Fp1))) & ((!p0 U p1) | (p0 U p1))) | ((!p0 -> Fp1) & (Gp0 | G!p0) & (Gp1 | G!p1)))\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 42
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"You may have noticed that the return type of randltl is 'formulaiterator'.<br/>\n",
|
||||
"Since the boolean functions and the 'mapping' functions return an iterator of the same type, this means these operations can be chained like this:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [
|
||||
"f = spot.randltl(3, 20).is_syntactic_stutter_invariant().relabel(spot.Abc).simplify()\n",
|
||||
"for formula in f:\n",
|
||||
" print(formula)"
|
||||
],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"stream": "stdout",
|
||||
"text": [
|
||||
"0\n",
|
||||
"Ga\n",
|
||||
"F(a R !b)\n",
|
||||
"G(a | Fb) | (FGb R !b)\n",
|
||||
"G!b | G(a U !c)\n",
|
||||
"b U a\n",
|
||||
"0\n",
|
||||
"0\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 44
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"collapsed": false,
|
||||
"input": [],
|
||||
"language": "python",
|
||||
"metadata": {},
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"metadata": {}
|
||||
}
|
||||
]
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue