{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from GenitivSolve import *\n",
    "\n",
    "from oi import *\n",
    "\n",
    "oi = oi()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading the german spacy model..\n",
      "done\n"
     ]
    }
   ],
   "source": [
    "gs = GenitivSolve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentences, punctuations = oi.ReadDoc2Sent('test1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing sentence 1\n",
      "processing sentence 2\n",
      "processing sentence 3\n",
      "processing sentence 4\n",
      "processing sentence 5\n",
      "processing sentence 6\n",
      "processing sentence 7\n",
      "processing sentence 8\n",
      "processing sentence 9\n"
     ]
    }
   ],
   "source": [
    "outsentences = gs.ReplaceGenitivWithDativ(sentences)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Hallo', 'was', 'geht', 'denn', 'hier', 'so']\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "Can't convert 'list' object to str implicitly",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-431ebe52fd8b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0moi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPrintSplitSentencesToTextFile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutsentences\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpunctuations\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'test1out'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/ProjektA/LeichteSprache/code200110/Prototyp/oi.py\u001b[0m in \u001b[0;36mPrintSplitSentencesToTextFile\u001b[0;34m(self, punctuations, sentences, document)\u001b[0m\n\u001b[1;32m     60\u001b[0m                 \u001b[0mpunctuation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpunctuations\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 62\u001b[0;31m                 \u001b[0mdoc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtowrite\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mpunctuation\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     63\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: Can't convert 'list' object to str implicitly"
     ]
    }
   ],
   "source": [
    "oi.PrintSplitSentencesToTextFile(punctuations, outsentences, 'test1out')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}