test5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from helper.helper_functions import get_sentence_tachkil\n",
    "from helper.prosody_postprocessing import prosody_form\n",
    "from helper.aroud_helper import get_aroud, get_wazn\n",
    "from taksim_aroud import get_full_aroud\n",
    "from consts.awzan import AWZAN_ar2en"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('~/Script/deep_learning/arabic/poem_NLG/Arabic_poem_reduced.csv').dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1684668 0\n",
      "100000 1684668 15891\n",
      "200000 1684668 30383\n",
      "300000 1684668 40354\n",
      "400000 1684668 49431\n",
      "500000 1684668 63056\n",
      "600000 1684668 76536\n",
      "700000 1684668 114091\n",
      "800000 1684668 127741\n",
      "900000 1684668 142374\n",
      "1000000 1684668 146172\n",
      "1100000 1684668 148415\n",
      "1200000 1684668 149086\n",
      "1300000 1684668 151720\n",
      "1400000 1684668 155854\n",
      "1500000 1684668 161272\n",
      "1600000 1684668 161515\n",
      "2 1645162\n"
     ]
    }
   ],
   "source": [
    "original = []\n",
    "meters = []\n",
    "\n",
    "seuil = 0.55\n",
    "\n",
    "for i in range(len(data)):\n",
    "\n",
    "    if i % 100000 == 0:\n",
    "        print(i, len(data), len(original))\n",
    "\n",
    "    line = data.iloc[i]\n",
    "    right, left, meter = line['الشطر الايمن'], line['الشطر الايسر'], line['البحر']\n",
    "    \n",
    "    try:\n",
    "        clean_r, tachkil_r, ratio_r  = get_sentence_tachkil(right)\n",
    "        if ratio_r > seuil:\n",
    "            original.append(right)\n",
    "            meters.append(meter)\n",
    "    except:\n",
    "        print('1', i)\n",
    "        \n",
    "    try:\n",
    "        clean_l, tachkil_l, ratio_l  = get_sentence_tachkil(left)\n",
    "        if ratio_l > seuil:\n",
    "            original.append(left)\n",
    "            meters.append(meter)\n",
    "    except:\n",
    "        print('2', i)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y, r = [], [], []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 164256 0\n",
      "10000 164256 9996\n",
      "20000 164256 19866\n",
      "30000 164256 29834\n",
      "40000 164256 39775\n",
      "50000 164256 49730\n",
      "60000 164256 59590\n",
      "70000 164256 69560\n",
      "80000 164256 79511\n",
      "90000 164256 89511\n",
      "100000 164256 99511\n",
      "110000 164256 109501\n",
      "120000 164256 119380\n",
      "130000 164256 129341\n",
      "140000 164256 138581\n",
      "150000 164256 148341\n",
      "160000 164256 158223\n"
     ]
    }
   ],
   "source": [
    "i = 0\n",
    "x, y, r = [], [], []\n",
    "\n",
    "for line, meter in zip(original, meters):\n",
    "    \n",
    "    if i % 10000 == 0:\n",
    "        print(i, len(original), len(x))\n",
    "\n",
    "    if meter in AWZAN_ar2en:\n",
    "        m = AWZAN_ar2en[meter]\n",
    "        a = prosody_form(line)\n",
    "\n",
    "        out2 = get_wazn(a, selected_meter=m)\n",
    "        meter, wazn, ratio = out2['meter'], out2['wazn'], out2['ratio']\n",
    "\n",
    "        x.append(line)\n",
    "        y.append(wazn)\n",
    "        r.append(ratio)\n",
    "\n",
    "    i += 1\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_ = list(set(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "d =  {i: y.count(i) for i in y_}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('فَعُولُ مَفَاعِيلُنْ فَعُولُ مَفَاعِلُنْ', 9296),\n",
       " ('فَعُولُنْ مَفَاعِيلُنْ فَعُولُ مَفَاعِلُنْ', 8254),\n",
       " ('فَعُولُ مَفَاعِيلُنْ فَعُولُنْ مَفَاعِلُنْ', 7774),\n",
       " ('فَعُولُنْ مَفَاعِيلُنْ فَعُولُنْ مَفَاعِلُنْ', 7438),\n",
       " ('مُتْفَاعِلُنْ مُتَفَاعِلُنْ مُتَفَاعِلُنْ', 6560),\n",
       " ('مُتَفَاعِلُنْ مُتَفَاعِلُنْ مُتَفَاعِلُنْ', 6080),\n",
       " ('مُتَفَاعِلُنْ مُتْفَاعِلُنْ مُتَفَاعِلُنْ', 5821),\n",
       " ('مُتْفَاعِلُنْ مُتْفَاعِلُنْ مُتَفَاعِلُنْ', 5410),\n",
       " ('مُفَاعَلَتُنْ مُفَاعَلَتُنْ فَعُولُنْ', 4556),\n",
       " ('مُتْفَاعِلُنْ مُتَفَاعِلُنْ مُتْفَاعِلُنْ', 3678),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ فَعِلُنْ', 3603),\n",
       " ('مُتَفَاعِلُنْ مُتَفَاعِلُنْ مُتْفَاعِلُنْ', 3384),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ فَعِلُنْ', 3265),\n",
       " ('مُفَاعَلْتُنْ مُفَاعَلَتُنْ فَعُولُنْ', 3221),\n",
       " ('فَعِلَاتُنْ مُسْتَفْعِلُنْ فَعِلَاتُنْ', 3179),\n",
       " ('مُفَاعَلَتُنْ مُفَاعَلْتُنْ فَعُولُنْ', 3027),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ فَعِلُنْ', 2973),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ فَعِلُنْ', 2579),\n",
       " ('مُتَفَاعِلُنْ مُتَفَاعِلُنْ', 2392),\n",
       " ('فَعِلَاتُنْ مُسْتَفْعِلُنْ فَاعِلَاتُنْ', 2298),\n",
       " ('مُتْفَاعِلُنْ مُتَفَاعِلُنْ', 2265),\n",
       " ('مُتَفَاعِلُنْ مُتْفَاعِلُنْ مُتْفَاعِلُنْ', 2260),\n",
       " ('مُتْفَاعِلُنْ مُتْفَاعِلُنْ مُتْفَاعِلُنْ', 2106),\n",
       " ('مُتَفْعِلُنْ مُسْتَفْعِلُنْ مُتَفْعِلُنْ', 2025),\n",
       " ('فَاعِلَاتُنْ مُسْتَفْعِلُنْ فَعِلَاتُنْ', 1962),\n",
       " ('فَاعِلَاتُنْ مُسْتَفْعِلُنْ فَاعِلَاتُنْ', 1913),\n",
       " ('مُسْتَفْعِلُنْ مُسْتَفْعِلُنْ مُتَفْعِلُنْ', 1685),\n",
       " ('مُتَفَاعِلُنْ مُتْفَاعِلُنْ', 1542),\n",
       " ('مُسْتَفْعِلُنْ مَفْعُلَاتُ مُسْتَعِلُنْ', 1523),\n",
       " ('مُتَفْعِلُنْ مُتَفْعِلُنْ مُسْتَفْعِلُنْ', 1499),\n",
       " ('مُفَاعَلْتُنْ مُفَاعَلْتُنْ فَعُولُنْ', 1420),\n",
       " ('مُتَفْعِلُنْ مَفْعُلَاتُ مُسْتَعِلُنْ', 1416),\n",
       " ('فَاعِلَاتُ مُسْتَفْعِلُنْ فَاعِلَاتُنْ', 1369),\n",
       " ('فَعُولُ فَعُولُنْ فَعُولُنْ فَعُولُ', 1315),\n",
       " ('مُتَفْعِلُنْ مُسْتَفْعِلُنْ مُسْتَفْعِلُنْ', 1177),\n",
       " ('فَعُولُنْ فَعُولُ فَعُولُنْ فَعُولُ', 1169),\n",
       " ('مُسْتَفْعِلُنْ مُسْتَفْعِلُنْ مُسْتَفْعِلُنْ', 1118),\n",
       " ('مُسْتَفْعِلُنْ مُتَفْعِلُنْ مُتَفْعِلُنْ', 1052),\n",
       " ('مُتْفَاعِلُنْ مُتْفَاعِلُنْ', 1046),\n",
       " ('مُتَفْعِلُنْ مُسْتَفْعِلُنْ فَاعِلُنْ', 1031),\n",
       " ('مُسْتَفْعِلُنْ مُسْتَفْعِلُنْ فَاعِلُنْ', 1003),\n",
       " ('مُتَفْعِلُنْ مُسْتَعِلُنْ فَاعِلُنْ', 970),\n",
       " ('فَعُولُ فَعُولُ فَعُولُنْ فَعُولُ', 968),\n",
       " ('مُسْتَفْعِلُنْ مُسْتَعِلُنْ فَاعِلُنْ', 935),\n",
       " ('فَعُولُ مَفَاعِلُنْ فَعُولُ مَفَاعِلُنْ', 892),\n",
       " ('مُسْتَفْعِلُنْ مُتَفْعِلُنْ مُسْتَفْعِلُنْ', 837),\n",
       " ('فَعُولُنْ مَفَاعِلُنْ فَعُولُ مَفَاعِلُنْ', 836),\n",
       " ('مُتَفْعِلُنْ مُتَفْعِلُنْ مُتَفْعِلُنْ', 803),\n",
       " ('فَاعِلَاتُنْ فَعِلَاتُنْ فَعِلَاتُنْ', 782),\n",
       " ('فَعُولُ مَفَاعِلُنْ فَعُولُنْ مَفَاعِلُنْ', 774),\n",
       " ('فَعِلَاتُنْ مُسْتَفْعِلُنْ فَعِلَاتُ', 758),\n",
       " ('فَعُولُنْ مَفَاعِلُنْ فَعُولُنْ مَفَاعِلُنْ', 757),\n",
       " ('مُتَفْعِلُنْ فَاعِلَاتُنْ', 742),\n",
       " ('فَعِلَاتُنْ فَعِلَاتُنْ فَاعِلَاتُنْ', 727),\n",
       " ('فَعُولُنْ فَعُولُنْ فَعُولُنْ فَعُولُ', 717),\n",
       " ('فَاعِلَاتُنْ فَعِلَاتُنْ فَاعِلَاتُنْ', 706),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ', 687),\n",
       " ('مُسْتَعِلُنْ مُسْتَفْعِلُنْ فَاعِلُنْ', 669),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ فِعْلُنْ', 650),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ فِعْلُنْ', 632),\n",
       " ('فَعِلَاتُنْ فَاعِلَاتُنْ فَعِلَاتُنْ', 626),\n",
       " ('فَاعِلَاتُنْ فَاعِلَاتُنْ فَاعِلَاتُنْ', 624),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ', 585),\n",
       " ('فَعُولُ مَفَاعِيلُ فَعُولُ مَفَاعِلُنْ', 583),\n",
       " ('فَعِلَاتُنْ فَعِلَاتُنْ فَعِلَاتُنْ', 575),\n",
       " ('فَعُولُنْ مَفَاعِيلُ فَعُولُنْ مَفَاعِلُنْ', 573),\n",
       " ('فَاعِلَاتُ مُسْتَفْعِلُنْ فَعِلَاتُنْ', 570),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ فِعْلُنْ', 551),\n",
       " ('فَعُولُنْ فَعُولُ فَعُولُنْ فَعُولُنْ', 551),\n",
       " ('مُسْتَفْعِلُنْ فَعِلَاتُنْ', 548),\n",
       " ('فَعُولُ فَعُولُنْ فَعُولُنْ فَعُولُنْ', 548),\n",
       " ('مُتَفْعِلُنْ فَعِلَاتُنْ', 530),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلَاتُنْ', 528),\n",
       " ('فَاعِلَاتُنْ فَاعِلَاتُنْ فَعِلَاتُنْ', 522),\n",
       " ('فَعِلَاتُنْ فَاعِلَاتُنْ فَاعِلَاتُنْ', 481),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ فِعْلُنْ', 456),\n",
       " ('مُتَفْعِلُنْ مَفْعُولَاتُ مُسْتَعِلُنْ', 443),\n",
       " ('فَعُولُنْ فَعُولُنْ فَعُولُنْ فَعُولُنْ', 439),\n",
       " ('مُسْتَعِلُنْ مُسْتَعِلُنْ فَاعِلُنْ', 429),\n",
       " ('فَعُولُنْ مَفَاعِيلُ فَعُولُ مَفَاعِلُنْ', 416),\n",
       " ('فَعُولُ مَفَاعِيلُ فَعُولُنْ مَفَاعِلُنْ', 409),\n",
       " ('فَاعِلَاتُنْ فَاعِلُنْ فَعِلَاتُنْ', 400),\n",
       " ('مُسْتَفْعِلُنْ مَفْعُولَاتُ مُسْتَعِلُنْ', 400),\n",
       " ('فَعُولُ فَعُولُ فَعُولُنْ فَعُولُنْ', 354),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُتَفْعِلُنْ فَعِلُنْ', 317),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ فَعِلُنْ', 303),\n",
       " ('فَاعِلَاتُ مُسْتَفْعِلُنْ فَعِلَاتُ', 284),\n",
       " ('فَعِلَاتُنْ فَاعِلُنْ فَعِلَاتُنْ', 281),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ فَعِلُنْ', 276),\n",
       " ('مَفَاعِيلُنْ مَفَاعِيلُنْ', 267),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُتَفْعِلُنْ فَعِلُنْ', 255),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ', 253),\n",
       " ('مَفَاعِيلُ مَفَاعِيلُنْ', 238),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ فَعِلُنْ', 232),\n",
       " ('فَاعِلَاتُنْ مُسْتَفْعِلُنْ فَعِلَاتُ', 216),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ فَعِلُنْ', 195),\n",
       " ('فَعُولُنْ فَعُولُنْ فَعُولُ فَعُولُنْ', 181),\n",
       " ('فَعُولُ فَعُولُنْ فَعُولُنْ فَعُولْ', 163),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ فَعِلُنْ', 149),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَعِلُنْ فَعِلُنْ', 148),\n",
       " ('فَعُولُنْ فَعُولُ فَعُولُ فَعُولُ', 145),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَعِلُنْ فَعِلُنْ', 141),\n",
       " ('مُسْتَفْعِلُنْ مُتَفْعِلُنْ فَاعِلُنْ', 141),\n",
       " ('فَعُولُنْ فَعُولُ فَعُولُنْ فَعُولْ', 136),\n",
       " ('مُتَفْعِلُنْ مُتَفْعِلُنْ فَاعِلُنْ', 129),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ فَعِلُنْ', 129),\n",
       " ('فَعُولُ فَعُولُ فَعُولُنْ فَعُولْ', 128),\n",
       " ('فَاعِلَاتُنْ فَاعِلُنْ فَاعِلَاتُنْ', 127),\n",
       " ('فَعِلُنْ فِعْلُنْ فَعِلُنْ فَعِلُنْ', 122),\n",
       " ('فَعُولُ فَعُولُنْ فَعُولُ فَعُولُنْ', 120),\n",
       " ('مُسْتَفْعِلُنْ مُتَعِلُنْ فَاعِلُنْ', 116),\n",
       " ('مُسْتَعِلُنْ مُتَفْعِلُنْ فَاعِلُنْ', 115),\n",
       " ('مُتَفْعِلُنْ مُتَعِلُنْ فَاعِلُنْ', 114),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلَانْ', 101),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مَفْعُولُنْ', 100),\n",
       " ('فَعِلَاتُنْ فَاعِلُنْ فَاعِلَاتُنْ', 87),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ', 87),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلَانْ', 87),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ فِعْلُنْ', 86),\n",
       " ('فَعُولُنْ فَعُولُنْ فَعُولُنْ فَعُولْ', 86),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ فِعْلُنْ', 83),\n",
       " ('فَعُولُ فَعُولُ فَعُولُ فَعُولُ', 75),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُتَفْعِلُنْ', 75),\n",
       " ('فَعُولُنْ فَعُولُنْ فَعُولُ فَعُولُ', 74),\n",
       " ('مُتَعِلُنْ مُسْتَفْعِلُنْ فَاعِلُنْ', 74),\n",
       " ('مُسْتَعِلُنْ مُتَعِلُنْ فَاعِلُنْ', 74),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلَانْ', 71),\n",
       " ('فِعْلُنْ فَعِلُنْ فَعِلُنْ فَعِلُنْ', 67),\n",
       " ('مُتَعِلُنْ مُسْتَعِلُنْ فَاعِلُنْ', 66),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُتَفْعِلُنْ فِعْلُنْ', 65),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُتَفْعِلُنْ', 64),\n",
       " ('فَعُولُنْ فَعُولُ فَعُولُ فَعُولُنْ', 64),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ', 63),\n",
       " ('مُتَعِلُنْ مُتَعِلُنْ فَاعِلُنْ', 63),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَعِلُنْ', 63),\n",
       " ('فَعُولُ فَعُولُنْ فَعُولُ فَعُولُ', 62),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلَانْ', 62),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُتَفْعِلُنْ فِعْلُنْ', 58),\n",
       " ('فَعِلُنْ فَعِلُنْ فَعِلُنْ فَعِلُنْ', 58),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ فِعْلُنْ', 56),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مَفْعُولُنْ', 56),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مَفْعُولُنْ', 51),\n",
       " ('مُتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ', 50),\n",
       " ('فِعْلُنْ فِعْلُنْ فَعِلُنْ فَعِلُنْ', 50),\n",
       " ('فَعِلُنْ فَعِلُنْ فِعْلُنْ فَعِلُنْ', 48),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَعِلُنْ فِعْلُنْ', 48),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَعِلُنْ فِعْلُنْ', 47),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَعِلُنْ', 47),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ', 46),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ فِعْلُنْ', 41),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ', 41),\n",
       " ('مُسْتَفْعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ فِعْلُنْ', 41),\n",
       " ('فَعِلَاتُنْ فَعِلُنْ فَاعِلَاتُنْ', 38),\n",
       " ('فَاعِلَاتُنْ فَعِلُنْ فَاعِلَاتُنْ', 36),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ', 33),\n",
       " ('فَاعِلَاتُنْ فَعِلُنْ فَعِلَاتُنْ', 31),\n",
       " ('فَعُولُ فَعُولُ فَعُولُ فَعُولُنْ', 30),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ فِعْلُنْ', 29),\n",
       " ('فَعُولُنْ فَعُولُ فَعُولُ فَعُولْ', 27),\n",
       " ('مَفَاعِيلُ مَفَاعِيلُ', 26),\n",
       " ('فِعْلُنْ فَعِلُنْ فِعْلُنْ فَعِلُنْ', 26),\n",
       " ('فَعِلَاتُنْ فَعِلُنْ فَعِلَاتُنْ', 24),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُتَفْعِلُنْ', 23),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ', 21),\n",
       " ('فِعْلُنْ فِعْلُنْ فِعْلُنْ فَعِلُنْ', 21),\n",
       " ('فَعُولُنْ فَعُولُنْ فَعُولُ فَعُولْ', 19),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ فَعِلُنْ', 19),\n",
       " ('فَعُولُ فَعُولُنْ فَعُولُ فَعُولْ', 19),\n",
       " ('فَعِلُنْ فَاعِلُنْ فَعِلُنْ فَعِلُنْ', 19),\n",
       " ('فَعُولُ فَعُولُ فَعُولُ فَعُولْ', 18),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَعِلُنْ', 16),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ فِعْلُنْ', 16),\n",
       " ('فَعِلُنْ فِعْلُنْ فِعْلُنْ فَعِلُنْ', 15),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُتَفْعِلُنْ فَعِلُنْ', 15),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَفْعِلَانْ', 13),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَفْعِلَانْ', 13),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُتَفْعِلُنْ فَعِلُنْ', 12),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَعِلُنْ فَعِلُنْ', 12),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَفْعِلُنْ', 12),\n",
       " ('مُسْتَفْعِلُنْ فَعِلُنْ مَفْعُولُنْ', 11),\n",
       " ('فِعْلُنْ فَعِلُنْ فَاعِلُنْ فَعِلُنْ', 11),\n",
       " ('فَعِلُنْ فَعِلُنْ فَعِلُنْ فِعْلُنْ', 10),\n",
       " ('مُتَعِلُنْ مُتَفْعِلُنْ فَاعِلُنْ', 10),\n",
       " ('فِعْلُنْ فَاعِلُنْ فَعِلُنْ فَعِلُنْ', 9),\n",
       " ('مَفَاعِيلُنْ مَفَاعِيلُ', 8),\n",
       " ('فَعِلُنْ فِعْلُنْ فَعِلُنْ فَاعِلُنْ', 8),\n",
       " ('مُسْتَعِلُنْ فَاعِلُنْ مُسْتَعِلُنْ فِعْلُنْ', 8),\n",
       " ('فَعِلُنْ فِعْلُنْ فَاعِلُنْ فَعِلُنْ', 8),\n",
       " ('فِعْلُنْ فَعِلُنْ فِعْلُنْ فِعْلُنْ', 8),\n",
       " ('فِعْلُنْ فِعْلُنْ فَاعِلُنْ فَعِلُنْ', 8),\n",
       " ('فَعِلُنْ فَعِلُنْ فِعْلُنْ فِعْلُنْ', 7),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَعِلُنْ فِعْلُنْ', 7),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مَفْعُولُنْ', 7),\n",
       " ('فِعْلُنْ فِعْلُنْ فَعِلُنْ فَاعِلُنْ', 6),\n",
       " ('فَعِلُنْ فَعِلُنْ فَاعِلُنْ فَعِلُنْ', 6),\n",
       " ('فِعْلُنْ فِعْلُنْ فَعِلُنْ فِعْلُنْ', 6),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُسْتَفْعِلُنْ', 6),\n",
       " ('مُتَفْعِلُنْ فَعِلُنْ مَفْعُولُنْ', 6),\n",
       " ('فَاعِلُنْ فِعْلُنْ فَعِلُنْ فَعِلُنْ', 5),\n",
       " ('مُسْتَعِلُنْ فَعِلُنْ مُتَفْعِلُنْ فِعْلُنْ', 5),\n",
       " ('فِعْلُنْ فَعِلُنْ فَاعِلُنْ فِعْلُنْ', 5),\n",
       " ('فِعْلُنْ فَعِلُنْ فَعِلُنْ فَاعِلُنْ', 5),\n",
       " ('فَعِلُنْ فَاعِلُنْ فَاعِلُنْ فَعِلُنْ', 5),\n",
       " ('فِعْلُنْ فَاعِلُنْ فِعْلُنْ فِعْلُنْ', 4),\n",
       " ('فَاعِلُنْ فِعْلُنْ فِعْلُنْ فَعِلُنْ', 4),\n",
       " ('فَاعِلُنْ فَعِلُنْ فِعْلُنْ فَعِلُنْ', 4),\n",
       " ('فَعِلُنْ فَاعِلُنْ فِعْلُنْ فَعِلُنْ', 4),\n",
       " ('فَعِلُنْ فِعْلُنْ فَعِلُنْ فِعْلُنْ', 4),\n",
       " ('فِعْلُنْ فِعْلُنْ فَاعِلُنْ فَاعِلُنْ', 4),\n",
       " ('فَاعِلُنْ فِعْلُنْ فَاعِلُنْ فَعِلُنْ', 3),\n",
       " ('فِعْلُنْ فَعِلُنْ فَعِلُنْ فِعْلُنْ', 3),\n",
       " ('فَعِلُنْ فِعْلُنْ فَاعِلُنْ فَاعِلُنْ', 3),\n",
       " ('فَعِلُنْ فَعِلُنْ فَعِلُنْ فَاعِلُنْ', 3),\n",
       " ('فَعِلُنْ فَاعِلُنْ فِعْلُنْ فِعْلُنْ', 2),\n",
       " ('فَعِلُنْ فَعِلُنْ فِعْلُنْ فَاعِلُنْ', 2),\n",
       " ('فِعْلُنْ فَاعِلُنْ فِعْلُنْ فَعِلُنْ', 2),\n",
       " ('فِعْلُنْ فَاعِلُنْ فَعِلُنْ فَاعِلُنْ', 2),\n",
       " ('فِعْلُنْ فِعْلُنْ فِعْلُنْ فِعْلُنْ', 2),\n",
       " ('فِعْلُنْ فَاعِلُنْ فَاعِلُنْ فَعِلُنْ', 1),\n",
       " ('فَعِلُنْ فِعْلُنْ فِعْلُنْ فَاعِلُنْ', 1),\n",
       " ('فَاعِلُنْ فَاعِلُنْ فَعِلُنْ فَعِلُنْ', 1),\n",
       " ('فَاعِلُنْ فِعْلُنْ فِعْلُنْ فِعْلُنْ', 1),\n",
       " ('فَعِلُنْ فَاعِلُنْ فَعِلُنْ فِعْلُنْ', 1),\n",
       " ('فَاعِلُنْ فَعِلُنْ فَعِلُنْ فَعِلُنْ', 1),\n",
       " ('فِعْلُنْ فَعِلُنْ فَاعِلُنْ فَاعِلُنْ', 1),\n",
       " ('فَعِلُنْ فَاعِلُنْ فَاعِلُنْ فِعْلُنْ', 1),\n",
       " ('فَاعِلُنْ فَعِلُنْ فَعِلُنْ فِعْلُنْ', 1),\n",
       " ('فِعْلُنْ فَاعِلُنْ فَعِلُنْ فِعْلُنْ', 1),\n",
       " ('فِعْلُنْ فَاعِلُنْ فِعْلُنْ فَاعِلُنْ', 1),\n",
       " ('فَعِلُنْ فَعِلُنْ فَاعِلُنْ فَاعِلُنْ', 1),\n",
       " ('فَعِلُنْ فَاعِلُنْ فِعْلُنْ فَاعِلُنْ', 1),\n",
       " ('فَاعِلُنْ فِعْلُنْ فَعِلُنْ فِعْلُنْ', 1),\n",
       " ('فَاعِلُنْ فَعِلُنْ فِعْلُنْ فِعْلُنْ', 1),\n",
       " ('فَاعِلُنْ فِعْلُنْ فِعْلُنْ فَاعِلُنْ', 1),\n",
       " ('فَاعِلُنْ فَعِلُنْ فَاعِلُنْ فَعِلُنْ', 1),\n",
       " ('فَعِلُنْ فَاعِلُنْ فَاعِلُنْ فَاعِلُنْ', 1),\n",
       " ('فَاعِلُنْ فَاعِلُنْ فَاعِلُنْ فِعْلُنْ', 1),\n",
       " ('فَاعِلُنْ فَاعِلُنْ فَاعِلُنْ فَاعِلُنْ', 1),\n",
       " ('فِعْلُنْ فِعْلُنْ فِعْلُنْ فَاعِلُنْ', 1),\n",
       " ('فَعِلُنْ فِعْلُنْ فِعْلُنْ فِعْلُنْ', 1)]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(d.items(), key=lambda kv: kv[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/thesun/.local/lib/python3.8/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ECH/Y38Cq2Rl2h+N4odbgy4HFRuc3KRWRfIEAdR39bBi+kRmpUuI9rJubxQv76/nqtQsjbkGW04T6t9w+IM/KQJRSk1ff0Y8/YJiVHnmLnN7vqsW5VLb0cqxRp0taLdQEnwUcEJEXRGTTyIeVgSmlQjeyqXVhWmTOgT/bhxbnAvD8vnqbI3G+UEs091gZhFJqak639+GNjSHN67E7lHHlpsSzpiSD3+ys4QuXzyPGpWUaq4SU4I0xW0RkNjDfGPOSiHiBGGtDU0qdbawNMQBOt/VRmJ4wY2raf75uNl/6xW62HGnkioW5dofjWKH2ovkc8DjwwPBDs4AnLYpJKTUBg74ADZ39zEqL/Pr7iKuX5JGTHMcj26rsDsXRQq3BfxHYAHQCGGOOAjlWBaWUCl1NWy8GKEyP/Pr7iFi3i1vXFvPK4SYO1HbaHY5jhZrgB4wxgyNfiIib4Dx4pZTN9td14nYJpVmR2YNmLJ9ZX0K618PXN+3TDpMWCTXBbxGRrxHcfPtDwG+Ap6wLSykVioAx7D/dQVluMnGemXVbLM0by99fs5C3Ktv43e7TdofjSKHOovkqcDvwDvB54Fngx1YFpZQKzanWXjr7fSydFZnb4I11Y/jWtcUAfLK8iF9XnOKfntzHX26YQ8EMmOY5k4TabCxA8KbqF4wxNxljHtJVrUrZb9/pDtwuYWHezNxBM8Yl/Oi2VaQmeHhkWyVNXQN2h+Qo503wEnSPiDQDh4HDw7s5/Z/whKeUGsuAz8/uU+2U5SYTP8PKM2fLTYnnJ59ejS9g+O8txzhYpzddp8t4I/gvE5w9s9oYk2GMyQDWAhtE5MuWR6eUGtObJ1vpHfRzyfwsu0OZssUFKXzx8nmke2N5dHsVj+2ooqNvyO6wZrzxEvyfA7cYY06OPGCMOQHcBnzKysCUUmMb8gd47Wgzc7MTKY7QHZwmKt0by52XzeWqxbkcru/i3186wo6TLXaHNaONl+A9xphz9tcyxjQBkb8mWimH2nq8he4BH5cvdNZyFLfLxWULcrj7yjJmZ3j5/du13LNpv24QMknjzaIZnORzSimLdPQNsflQI4vyUyjNSrI7HEtkJMby6fUlPL+vnoe3VgJwz41Lzjw/3uwcFTRegl8uIqPd8RAg3oJ4lFKcv+/MC/vrCRjD9cvywxhR+LlEuG5ZPgvykvnJ6ycpyfTqXq4TdN4Eb4yZ9K15ESkiuONTLsFVrw8aY74/2fdTSkFlcw9vn2rn8gXZZCRG9u5N0+Vr1y2iqqWXf3n6AMWZXm1ONgFWbt7oA75ijFkMXAR8UUQWW3g+pRwtYAxP7a0lNcHDpWXOqr2fT4xL+MEtF7K4IIW/3rib/bUddoc0Y1iW4I0xdcaYXcOfdwEHCXahVEpNws6qNuo6+rl2aR6x7sjdWNsK3lg3P/n0alITPNz+cIVOoQxRWL5LRKQEWAHsGOW5O0SkQkQqmpqawhGOUjPOkD/AHw82UJzhZVmEtiWw2siCqK7+IX76xklq2/vsDiniWZ7gRSQJeAK42xhzzg1bY8yDxphyY0x5dna21eEoNSNtP9FCZ7+Pq5fkzZhNPaywuCCFhz5VTv+gn/965RiP76yhrkMT/VhCbTY2KSLiIZjcHzPG/NbKcynlVEP+AFuONDE/J4k5M6wlsBXWz8vi7ivLeOlgAxVVreyqbmNudiJXL8mzO7SIY1mCl+Aw4yfAQWPMfVadRymne/tUO72Dfi5doH/hjkiIjeHDywv44KIc3qpsY+vxZn605TiJcW7+6tK55+zzOtq002iYM29liWYDwVYHV4jI28Mf11l4PqUcxxjDG8eayU+NZ45DWhJMJ2+sm0vLsrn7g2UsKUjluy8c5taHtmt9fpiVs2heN8aIMeYCY8yFwx/PWnU+pZzoRHMPjV0DrJ+bFdW19/EkxMZw8+oivnvTBbxzuoNrv/8am/bUEojyFgeW1uCVUlOzq6qNeI+LCwqjc+bMRIgInygvYnVJBnf9cjd/84vdfO8Ph7l5dTExLiEpLvrSXfT9Fys1Qwz5A+yv62TZrFQ8Mc6a936+VgxTVZKVyON3rufZd+rYuKOa7zx/CLdLuHF5AeUlGZadNxJpglcqQh2q72LQF2B5YZrdocwY7//F8ZELZ7FubiZP763jt7tPU9/Zz/XL8qOm3OWsYYFSDrK3pp2kODel2XpzdSpykuP5zPoS1s3NZOvxFrYciZ4FlZrglYpAg74Ah+u7WDorFVeUjDat5BLh+mX5LC9M5Q8HGthd3WZ3SGGhCV6pCHS8qRtfwLA4P8XuUBzDJcLHVxVSmp3IE7tqeDUKRvJag1dqCqxaQHOovotYt4uSLO+U30u9y+1ycdva2Tz02gk++0gF99+ygqscvAJWR/BKRRhjDIfrO5mfk4TbpT+i0y3eE8PtG+awOD+Fv/r5Tn5dccrukCyj3z1KRZj9tZ109vtYmJdsdyiO5Y1z89hn17JhXhZ///hefja8LaDTaIJXKsJsPtQIQFmuJngrJca5+fGny7lyUQ7ffOYAJ5q67Q5p2mmCVyrC/PFQI4XpCSTHe+wOxfHi3DH868eWEe+O4d6nDmCMs1obaIJXKoI0dw+wp6ZdyzNhlJMcz90fKmPLkSa2Hm+xO5xppbNolIogrxxuwhhYkKfTI6129gwoj0uIc7u47w9H2DAvy8aoppcmeKUiyMuHGshNiaMgNd7uUCKGlX1rRrhjXCzOT2F/XQeDvoBj9rx1xn+FUhHCHzD89PWT3Hj/63z2ZxUT2k5uwOfn1SPNXL4gJ2p6pUSSZbNS6R8K8MaxZrtDmTaa4JWaRi8dbOBfnj6AMbD1eDNX//urHKg9ZyviUb16pJnuAR9XL3XuwptINi8niXiPi6f31tkdyrTRBK/UNKnr6OO1o018fGUhT33pYp676wPEe2K465e76R/yj/v6p/fWkub1cLGDasAziTvGxcK8FDYfbnTMbBpN8EpNk6f21JLgieGfrl8EwOzMRP7fJ5ZztLGb7zx/6Lyv7Rv08+KBBq5dmue43u8zSWlWIq09gxx3yJx4/U5SahrUd/RT2dLLpWXZpCfGnnn8krJsPrVuNg9vrWTf6Y4xX7/5cCO9g35uuKAgHOGqMZQM73v75klndJvUBK/UNHirqpUYl7CiOP2c575y1QIyE2P5P7/fN+YeoY9sqyQ3JY61c6Jrx6FIk5kUS1ZSLG9VttodyrTQBK/UFA35A7xd3c7i/BQSR9n3MzXBw/++ZiG7qtvZ+Oa5U/7eqmxl+4lW7rhkLm4tz9hKRFhdksGbJzXBK6WAg3Wd9A35WX2e/T5vWlXIB+Zn8X+fOUhlc897nrv/5WNkJsZyy5oiq0NVIVgzJ4PT7X3Utoc+xTVSaYJXaor21nSQHH/+rfVEhH+76QLcMcIXHttFY1c/AF94bBdbjjRRXpLBk7tr2bijOiwLe9TYRn5RO6FMowleqSkYGPJzpKGLpQXjb62Xn5rAD25ewcnmHj78n6/zqZ++ybPv1LG0IEWnRkaQhXnJeGNj2FU182+0aoJXagoO1XfhCxiWzkoN6fjLF+bw+J3rKEz30tI9wJqSDD65uogYl65cjRTuGBfLC9PYVd1udyhTpr1olJqCd04HyzOzM0PfWm9JQSpP3LkeCE+fFTVxK2en8cCWE/QN+kmIjbE7nEnTEbxSk9Qz4ONIQxdLQijPqJllZXE6voBhb0273aFMiSZ4pSbpj4ca8QUMy0Isz6iZY2Q9w87qmV2H1wSv1CQ9s7d2wuUZNTNkJMYyJyuRXVXtdocyJZrglZqEngEfrxxu0vKMg60oTmN3dduMbjymCV6pSXjpYAMDvoCWZxxsZXE6LT2DVLf22h3KpGmCV2oSHt9ZQ0FqvJZnHGhksVlDZ3Ax2v0vH7M5osnTBK/UBNW09fL6sWZuKi/S8oyD5abEE+t26Qh+NCLyUxFpFJF9Vp1DKTs8vrMGgE+sKrQ5EmUllwiF6Qmc0gQ/qoeBayx8f6XCzucP8JuKGjbMzaIoQ8szTlec4aW+s5/eQZ/doUyKZQneGPMqMPO79Sh1lhf2N3C6vY/bLiq2OxQVBsUZXgIG9pwae7OWSGZ7DV5E7hCRChGpaGpqsjscpcZkjOHBV49TkunlQ4t1Y+xoUDz8V9pM7Sxpey8aY8yDwIMA5eXlM3fCqXK8N0+2sqemg298dOl5m4ON1V/m1rU66p9pvLFuCtLief1YM3/zwfl2hzNhtid4pSLJ+ZLz/ZuDG3PctFJvrkaTednJvHGsmf954yRx7vc2Hov0X9q2l2iUmgl2VrXy2tFmPn9p6YzuLqgmbl5OEn5jOPm+nbhmAstG8CLyC+AyIEtEaoCvG2N+YtX5lLLSf7x0lMzEWG67aPak30NbA89MszO9uF3CscZuFual2B3OhFiW4I0xt1j13kqFU3VrL68dbeaaJXk8ubvW7nBUmHliXMzJSuRoY7fdoUyYlmiUGscrhxtJ8MSwtnTsTbWVs5XlJtPUNUBL94DdoUyIJnilzqO2vY9D9V1smJd1zg02FT0W5wdLM/trO22OZGI0wSt1Hq8caSLO7WJdaabdoSgbpSfGMistgf21M2vBk06TVBHNzjnljZ397D/dwaULsnXmjGJJQQp/ONBAR98QqQkeu8MJiY7glRrDliNNuGOEDXOz7A5FRYDFBcEyzYG6mVOm0RG8imjGGPbWdPD8/nqG/AEKUhP42MpZlp+3tWeQPTXtrJ+bRWKc/pgoyEmOJzs5jv21HTOmZKcjeBWxjDE8vbeOX1WcIjnezZKCVE619XL/5mOW73b/yuFGXCJcPF9H7+pdSwpSqGzuoWdgZnSX1ASvItZjO6rZdqKFdXMz+fwlc/mTFbP44mXziHW7+MJju+joG7LkvO29g+yubqe8JJ2U+JlRa1XhsaQglYCBQ/Uzo0yjCV5FpH2nO7hn034W5CZz/bL8M829spLjuHl1MfUd/Xztt+9Ycu5Xjwa7ml4yP9uS91czV0FqPGlez4yZLqkJXkUcf8DwD799hzRvLJ8cZVu84gwvX/5QGc+8U8dLBxqm9dyd/UNUVLaxojiNNG/stL63mvlEhCX5KRxt7KZ/yG93OOPSBK8iziPbKnnndAdf//DiMacn3nFJKfNzkrj36f3T+oP2+tFm/AHDpWU6eleju6AwDX/AsO905M+J1wSvIkpdRx/f+8MRLi3L5oYL8sc8zhPj4t6PLOFUax8/2nJ8Ws7d2NXPjpMtLC9KIzMpblreUzlPYXoCmYmx7D7Vbnco49IEryLKvZsOMOQP8I2PLEVk7E01ANbPzeLDywv4r1eOU90y9Y2Rv/PcYQIBuGJhzpTfSzmXiHBhcRonm3s43d5ndzjnpQleRYwXDzTw/P567rpyPsWZoW1o/Y/XLcLjEu55aj/GTH5DsJ1VbTyxq4YN87LI0tG7GseKonQAntx92uZIzk8TvIoIPQM+vv77fSzITeZzHygN+XV5qfHcfWUZLx9qZNOeybXy7R308dUn9pKbEsflC7X2rsaXkRjLnKxENu6oxucP2B3OmHSJngq70frLPLO3ltqOfj6/vIDfVNRM6P3+8uI5PLuvjn9+ch8XlWaSmxI/odffs2k/x5q6efQv11LdOvVSj4oOG+Zm8vMd1bx0sIFrlo59v8hOmuDVhI2WoKfS/KuyuYetx1tYMyeD2ZmJk4rh8rIc9p3u4AuP7eKxz64l3hNac7D//ONRfl1Rw5eumMfF87N01yUVsoX5KaR7PXz7ucO09rx30V2k7NWqJRplq0FfgMd31ZDm9XDt0rxJv09WchyfWFXEruo27v7l2wz6zv9n85A/wLeeO8j3XjzCx1bO4u4ryyZ9bhWdXCKsK82ksqWH402RuduTJnhlG2MMT759mraeQW5aVTTlDTWWzkrln69fzPP76/nkA9uoajl3k2RjDFuPNfPx/97KA1tOsKYkg5XF6fzqrVM6elcTtrY0kzSvh2f21uEPTP4mv1W0RKNss+NkK2+faufKRbnMyQqtNDOeeE8Mt6wp5oldNVz23Vcoy03mmqV5xHlc1Lb3sfVYCyeae8hKiuOWNcUsm5U6LedV0ckT4+K6pflsfLOaHSdbWB9hraU1wav3MMaw7XgLO6vaqGnrIyE2hqIML6tmp7M4P4VY9/T80XewrpOn99ayIDeZyxZM78yVZbNSKc7wsv1EC3tr2vnBy0cxBhJjY1g9J4M7Linloytm8dtdkT3FTc0MSwpSKMtN4vl99ZRkJlKQlmB3SGdogldnbD7UyDefOcDxpmBpIzs5jv5BP13DrVHj3C6WF6WRGOtmTlYixRneSSX8w/Wd/OLNagrSErh59bm9ZqZDaoKHq5fkcfWSvDP940O98arURIgIN60q4v6Xj7LxzWr++vJ5dod0hiZ4xZA/wD2b9vPYjmrm5yRx3yeXc/WSPH7/dnBeeUffENWtvVS39FDZ0kttex+bD4NLoDDdy5ysRArS4lk1O53k87TX9fkD/OT1kzyyrYq81Hg+va6EuDAkXR2pK6slxbm5ZU0xD712gid21fAXG0rGXYkdDprgo1zPgI87H9vFq0eauOOSUr5yVdk5NztTEzwsm5V6pl7dP+SnqqWXypYeTjb38NrRJrYcaSLGJVxQmMoH5mVx8fxs5uck8dSeWrr6fRxr7GbriWYaOgdYUpDCJ1YVTVu5R6lIMDszkauX5PHcvnp++kYlt188x+6QNMFHs/4hP5/9WQU7Trbw7Y8t4+Y1oc3djffEsCAvmQV5yUBwquO8nCS2n2jh9WPN3L/5GD94+dg5r8tKiuXP1hazOD8lIkY3Sk23i+dlUdnSy7eePciK4jRWFqfbGo9MpX/HdCsvLzcVFRV2hxEVfP4Adz62ixcPNHDfJ5fzsZWF5xwzkWmDZy/s6OgdYsfJFmra+th6vIWkODdFGQnkpcRrYleO1zfo5+FtJ/H7Dc/ddQmpXmt3BRORncaY8tGe0xF8lNm4o5qAMTyxs4bdp9q54YJ8+ocC0zoHPNXr4aolwUVLemNTRZuE2Bh+eOtKPvrDN7jvxcPc+5GltsWiRdAoY4zhmXfq2H2qnQ8uyom4ebtKOcEFhWn82drZPLq9ioN19m3vpwk+yrx8qJFtx1tYPzeTKxZo33OlrPKVq8pITfDw9U1Ta2U9FVqimUHGKqOE0tjIGMO/v3iEPx5qZGVxGtcty9d6uFIWSvPG8r+uXsA//m4fT++t48PLC8Iegyb4MJlKcu4f8rP1eDMv7K+no28If8CQluChMMNLWW5SSK+/96n9/OLNU6wqTudPVs6a9sVF2sdFqXPdvLqYX7xZzb8+e5ArFuaQGBfelKsJPgwGfH52V7dxsK6TmrY+BnwBYt0uclPiaOkeYN3cTJYXpeGJebdi1jcYTOpP7anlxQMN9Az6cUlwTrpLhIN1nfiONeN2CW8ca+GapXlcuSiHNG/smfcwxrD5cCPfee4whxu6+MJlcylIS7Bk5ahS6lwxLuHeG5dy04+28q3nDvLNjy4L6/k1wVtowOdn445qfrj5OM3dA6QmeCjJ9JIQ66Z/yB/cYPrFI/AieGNjKMlMJM3r4WRzD42dA/iNIcETw9JZKSydlcrsjMQzi4MCxlDV0sv+2g4O1Hbw0sEGXALzc5IpyvDiDwTYV9tJU9cAhekJ/M9nVnP5whwdaSsVZqtmp/O5D5Ty4Ksn+ODCXC4P456/muAt4PMH2LSnlvtePEJNWx8XlWbw4QvymZeTdE7d+9qleew42cL2E61Ut/bS2TdESryH+TnJlGYnUpqdiNt17r1wlwhzshKZk5XILWuK2FvTwcuHGtlb035mI+CL52VxSVkWN1xQ8J6/DpRS4fWVq8p49UgTd/1yNxs/dxFLw9TF1NKFTiJyDfB9IAb4sTHm2+c7fiYvdAoEDMeaunnxQAMPvXaC9t4hCtLiuXpx3qiJfcRoNXgdZSs1s432c13T1sufPrCdnkEf//GnF3LZNM1iO99CJ8sSvIjEAEeADwE1wFvALcaYA2O9ZroTvDEGY4LljMDwvyNf9w35ae8doqNviI6+Qdp7h2jqGqChc4DGrn4aOwdoGP530B8gEDAYwO0SYt0u4twuclPiiXO76B30c7q9j95BPwAlmYlcPC+LhfnJWu9WKgqNNXmiuqWXv3j4TY439XBpWTY3XJDPssJg+TUhdnKLAu1ayboGOGaMOTEcxC+BjwBjJvjJWvWNF+kZ9BEwwaR+djKfKE+MkBLvISXBQ2qCh8K0BDxuF4IgEiy/DPgCDPqC//YN+YkdbqObnxLP/NxkUhOsXZqslJqZijO9PHvXB/jxayf5+fYq/u7xJgBS4t3s+fpV0z512coEPws4ddbXNcDa9x8kIncAdwx/2S0ihy2M6WxZQHOYzjWT6HUZnV6X0el1GcWfTeK6uO6d9Olmj/WE7TdZjTEPAg+G+7wiUjHWnzXRTK/L6PS6jE6vy+gi5bpYObXiNFB01teFw48ppZQKAysT/FvAfBGZIyKxwM3AJgvPp5RS6iyWlWiMMT4R+WvgBYLTJH9qjNlv1fkmIexloRlCr8vo9LqMTq/L6CLiukTUhh9KKaWmjy5vVEoph9IEr5RSDuX4BC8i14jIYRE5JiJfHeX5vxWRAyKyV0T+KCJjzil1kvGuy1nHfVxEjIjYPuUrHEK5LiLyyeHvmf0isjHcMdohhJ+jYhHZLCK7h3+WrrMjznASkZ+KSKOI7BvjeRGRHwxfs70isjLcMQ4v53fmB8Gbu8eBUiAW2AMsft8xlwPe4c/vBH5ld9yRcF2Gj0sGXgW2A+V2xx0J1wWYD+wG0oe/zrE77gi5Lg8Cdw5/vhiotDvuMFyXS4CVwL4xnr8OeA4Q4CJgR7hjdPoI/ky7BGPMIDDSLuEMY8xmY0zv8JfbCc7Xd7pxr8uwbwDfAfrDGZyNQrkunwN+aIxpAzDGNIY5RjuEcl0MkDL8eSpQG8b4bGGMeRVoPc8hHwEeMUHbgTQRyQ9PdEFOT/CjtUuYdZ7jbyf4G9fpxr0uw39OFhljnglnYDYL5fulDCgTkTdEZPtwx1SnC+W63APcJiI1wLPAl8ITWkSbaP6Zdra3KogUInIbUA5cancsdhMRF3Af8BmbQ4lEboJlmssI/rX3qogsM8a02xlUBLgFeNgY8z0RWQc8KiJLjTEBuwOLZk4fwYfULkFErgT+EbjRGDMQptjsNN51SQaWAq+ISCXB+uGmKLjRGsr3Sw2wyRgzZIw5SbAl9vwwxWeXUK7L7cCvAYwx24B4gg23opnt7VqcnuDHbZcgIiuABwgm92iop8I418UY02GMyTLGlBhjSgjem7jRGDMzd2MJXSjtNZ4kOHpHRLIIlmxOhDFGO4RyXaqBDwKIyCKCCb4prFFGnk3Ap4Zn01wEdBhj6sIZgKNLNGaMdgki8i9AhTFmE/BdIAn4zXAv5mpjzI22BR0GIV6XqBPidXkBuEpEDgB+4O+MMS32RW29EK/LV4CHROTLBG+4fsYMTyVxKhH5BcFf9lnD9x6+DngAjDE/Ingv4jrgGNAL/EXYY3T4/wOllIpaTi/RKKVU1NIEr5RSDqUJXimlHEoTvFJKOZQmeKWUcihN8Eop5VCa4JVSyqH+P6kVJpmaHdVuAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "D = pd.DataFrame()\n",
    "D['line'] = x\n",
    "D['wazn'] = y\n",
    "D['ratio'] = r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "D.to_csv('aroud_dataset.csv', index=False)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
  },
  "kernelspec": {
   "display_name": "Python 3.8.10 64-bit",
   "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": "3.8.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}