ivy/notebooks/client_server_demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from proof import AnalysisSession\n",
    "from widget_analysis_session import AnalysisSessionWidget\n",
    "from tactics_api import *\n",
    "from tactics import RecalculateFacts, RefineOrReverse\n",
    "from ivy_logic_utils import true_clauses, false_clauses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "w = AnalysisSessionWidget()\n",
    "session = AnalysisSession('../examples/ivy/client_server_sorted.ivy', w)\n",
    "set_context(session)\n",
    "w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "refine_or_reverse = RefineOrReverse()\n",
    "recalculate_facts = RecalculateFacts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "w._concept.concept_session.split('server', 's')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "init = arg_add_initial_node()\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "e0 = arg_add_action_node(init, get_action('error'))\n",
    "recalculate_facts(e0, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a1 = arg_add_action_node(init, get_action('connect'))\n",
    "recalculate_facts(a1, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "e1 = arg_add_action_node(a1, get_action('error'))\n",
    "recalculate_facts(e1, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g1 = goal_at_arg_node(true_clauses(), e1)\n",
    "push_goal(g1)\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "refine_or_reverse(g1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "push_goal(get_diagram(top_goal()))\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "refine_or_reverse(top_goal())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "while top_goal() is not None and refuted_goal(top_goal()):\n",
    "    remove_goal(top_goal())\n",
    "    step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "recalculate_facts(e1, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "while top_goal() is not None and refuted_goal(top_goal()):\n",
    "    remove_goal(top_goal())\n",
    "    step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a2 = arg_add_action_node(a1, get_action('connect'))\n",
    "recalculate_facts(a1, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "recalculate_facts(a2, arg_get_conjuncts(arg_get_pred(a2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "e2 = arg_add_action_node(a2, get_action('error'))\n",
    "recalculate_facts(e2, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g2 = goal_at_arg_node(true_clauses(), e2)\n",
    "push_goal(g2)\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "push_goal(get_diagram(top_goal()))\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "refine_or_reverse(top_goal())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "push_goal(get_diagram(top_goal()))\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "refine_or_reverse(top_goal())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "push_goal(get_diagram(top_goal()))\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "refine_or_reverse(top_goal())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "while top_goal() is not None and refuted_goal(top_goal()):\n",
    "    remove_goal(top_goal())\n",
    "    step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "recalculate_facts(a2, arg_get_conjuncts(arg_get_pred(a2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "while top_goal() is not None and refuted_goal(top_goal()):\n",
    "    remove_goal(top_goal())\n",
    "    step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "n = top_goal().node\n",
    "recalculate_facts(n, arg_get_conjuncts(arg_get_pred(n)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "recalculate_facts(e2, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "while top_goal() is not None and refuted_goal(top_goal()):\n",
    "    remove_goal(top_goal())\n",
    "    step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "arg_is_covered(a2, a1)\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a3 = arg_add_action_node(a1, get_action('disconnect'))\n",
    "recalculate_facts(a3, [false_clauses()])\n",
    "recalculate_facts(a3, arg_get_conjuncts(arg_get_pred(a3)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "e3 = arg_add_action_node(a3, get_action('error'))\n",
    "recalculate_facts(e3, [false_clauses()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "arg_is_covered(a3, a1)\n",
    "step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "refuted_goal(top_goal())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "w.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "session.analysis_state.ivy_ag.states[2]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}