{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ASCII Canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(using Reportlab to export it as a PDF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "width = 75\n",
    "height = 65"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "multipage = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n",
      "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n",
      "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n",
      "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n",
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      "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n"
     ]
    }
   ],
   "source": [
    "# Simple fill-up of a page, to set the reach of our canvas\n",
    "lines = [] # All the lines will be stored here\n",
    "\n",
    "for linenumber in range(height):\n",
    "    line = 'x' * width\n",
    "    lines.append(line)\n",
    "\n",
    "print('\\n'.join(lines))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TuringcompleteTuringcompleteTuringcompleteTuringcompleteTuringcomplete\n",
      "isisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisis\n",
      "thanthanthanthanthanthanthanthanthanthanthanthanthanthanthanthanthanthan\n",
      "givinggivinggivinggivinggivinggivinggivinggivinggivinggivinggivinggiving\n",
      "OulipoOulipoOulipoOulipoOulipoOulipoOulipoOulipoOulipoOulipoOulipoOulipo\n",
      "(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or(or\n",
      "ideographic-pictorialideographic-pictorialideographic-pictorial\n",
      "andandandandandandandandandandandandandandandandandandandandandandandandand\n",
      "parts.parts.parts.parts.parts.parts.parts.parts.parts.parts.parts.parts.\n",
      "converseconverseconverseconverseconverseconverseconverseconverseconverse\n",
      "forforforforforforforforforforforforforforforforforforforforforforforforfor\n",
      "MyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMyMy\n",
      "performperformperformperformperformperformperformperformperformperform\n",
      "“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a“a\n",
      "whateverwhateverwhateverwhateverwhateverwhateverwhateverwhateverwhatever\n",
      "becomebecomebecomebecomebecomebecomebecomebecomebecomebecomebecomebecome\n",
      "complicatecomplicatecomplicatecomplicatecomplicatecomplicatecomplicate\n",
      "typicallytypicallytypicallytypicallytypicallytypicallytypicallytypically\n",
      "ButButButButButButButButButButButButButButButButButButButButButButButButBut\n",
      "sincesincesincesincesincesincesincesincesincesincesincesincesincesincesince\n",
      "ofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofof\n",
      "likelikelikelikelikelikelikelikelikelikelikelikelikelikelikelikelikelike\n",
      "notnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnotnot\n",
      "ofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofof\n",
      "ititititititititititititititititititititititititititititititititititititit\n",
      "computercomputercomputercomputercomputercomputercomputercomputercomputer\n",
      "misperceivesmisperceivesmisperceivesmisperceivesmisperceivesmisperceives\n",
      "Java,Java,Java,Java,Java,Java,Java,Java,Java,Java,Java,Java,Java,Java,Java,\n",
      "anotheranotheranotheranotheranotheranotheranotheranotheranotheranother\n",
      "tototototototototototototototototototototototototototototototototototototo\n",
      "controlcontrolcontrolcontrolcontrolcontrolcontrolcontrolcontrolcontrol\n",
      "computercomputercomputercomputercomputercomputercomputercomputercomputer\n",
      "metaphoricallymetaphoricallymetaphoricallymetaphoricallymetaphorically\n",
      "andandandandandandandandandandandandandandandandandandandandandandandandand\n",
      "thethethethethethethethethethethethethethethethethethethethethethethethethe\n",
      "significance.significance.significance.significance.significance.\n",
      "ininininininininininininininininininininininininininininininininininininin\n",
      "sincesincesincesincesincesincesincesincesincesincesincesincesincesincesince\n",
      "bebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebe\n",
      "purepurepurepurepurepurepurepurepurepurepurepurepurepurepurepurepurepure\n",
      "asasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasas\n",
      "inputinputinputinputinputinputinputinputinputinputinputinputinputinputinput\n",
      "lesslesslesslesslesslesslesslesslesslesslesslesslesslesslesslesslessless\n",
      "structures—semanticstructures—semanticstructures—semantic\n",
      "can’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’tcan’t\n",
      "isisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisis\n",
      "isisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisis\n",
      "functionsfunctionsfunctionsfunctionsfunctionsfunctionsfunctionsfunctions\n",
      "shape,shape,shape,shape,shape,shape,shape,shape,shape,shape,shape,shape,\n",
      "namenamenamenamenamenamenamenamenamenamenamenamenamenamenamenamenamename\n",
      "atatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatatat\n",
      "ininininininininininininininininininininininininininininininininininininin\n",
      "isisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisisis\n",
      "ofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofof\n",
      "thethethethethethethethethethethethethethethethethethethethethethethethethe\n",
      "humanshumanshumanshumanshumanshumanshumanshumanshumanshumanshumanshumans\n",
      "terminals,terminals,terminals,terminals,terminals,terminals,terminals,\n",
      "meaningmeaningmeaningmeaningmeaningmeaningmeaningmeaningmeaningmeaning\n",
      "appropriatedappropriatedappropriatedappropriatedappropriatedappropriated\n",
      "asasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasasas\n",
      "thatthatthatthatthatthatthatthatthatthatthatthatthatthatthatthatthatthat\n",
      "bebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebebe\n",
      "ononononononononononononononononononononononononononononononononononononon\n",
      "DigitalDigitalDigitalDigitalDigitalDigitalDigitalDigitalDigitalDigital\n",
      "ofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofofof\n"
     ]
    }
   ],
   "source": [
    "# Another way to fill-up the page\n",
    "import random \n",
    "\n",
    "lines = []\n",
    "\n",
    "txt = open('txt/language.txt', 'r').read()\n",
    "words = txt.split()\n",
    "\n",
    "for linenumber in range(height):\n",
    "    word = random.choice(words)\n",
    "    length_of_word = len(word)\n",
    "    nr_of_words_fit_in_line = width / length_of_word\n",
    "    line = word * int(nr_of_words_fit_in_line)\n",
    "    lines.append(line)\n",
    "    \n",
    "print('\\n'.join(lines))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Same as above + a \"switch\" to make multipaged PDFs\n",
    "import random \n",
    "\n",
    "multipage = True\n",
    "number_of_pages = 100\n",
    "\n",
    "lines = []\n",
    "pages = []\n",
    "\n",
    "txt = open('txt/language.txt', 'r').read()\n",
    "words = txt.split()\n",
    "\n",
    "for page in range(number_of_pages):\n",
    "    \n",
    "    for linenumber in range(height):\n",
    "        word = random.choice(words)\n",
    "        length_of_word = len(word)\n",
    "        nr_of_words_fit_in_line = width / length_of_word\n",
    "        line = word * int(nr_of_words_fit_in_line)\n",
    "        lines.append(line)\n",
    "        \n",
    "    # Add a page\n",
    "    pages.append(lines)\n",
    "    lines = []\n",
    "\n",
    "for page in pages:\n",
    "    print('\\n'.join(page))\n",
    "    print('-' * width)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exporting with Reportlab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from reportlab.pdfgen.canvas import Canvas\n",
    "from reportlab.lib.pagesizes import A4\n",
    "from reportlab.lib.units import mm\n",
    "\n",
    "pagewidth = 210*mm\n",
    "pageheight = 297*mm\n",
    "\n",
    "c = Canvas(\"ASCII-canvas-to-PDF.pdf\", pagesize=(pagewidth, pageheight), bottomup=0)\n",
    "c.setFont('Courier', 12)\n",
    "\n",
    "start_y = 10*mm # start position of the lines\n",
    "\n",
    "y = start_y\n",
    "lineheight = 4*mm\n",
    "\n",
    "if multipage == True:\n",
    "    for page in pages:\n",
    "        for line in page:\n",
    "            c.drawCentredString(pagewidth/2, y, line)\n",
    "            y += lineheight\n",
    "        c.showPage()\n",
    "        y = start_y\n",
    "else:\n",
    "    for line in lines:\n",
    "        c.drawCentredString(pagewidth/2, y, line)\n",
    "        y += lineheight\n",
    "    \n",
    "c.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "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",
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}