From 0b35330d2b5813253bc86430ecd94460794d077d Mon Sep 17 00:00:00 2001
From: Artyom Semidolin <43622365+Artanias@users.noreply.github.com>
Date: Tue, 31 Dec 2024 20:50:13 +0300
Subject: [PATCH] doc+fix: actualizes use case notebook and also fixes
 displaying suspect parts and getting commit info.

Refs: #207
---
 Makefile                                   |   2 +-
 docs/notebooks/usecases.ipynb              | 479 ++++++++++-----------
 setup.py                                   |   2 +-
 src/codeplag/display.py                    |   2 +-
 src/webparsers/async_github_parser.py      |  16 +-
 src/webparsers/github_parser.py            |  24 +-
 src/webparsers/types.py                    |   2 +-
 test/unit/webparsers/test_github_parser.py |  51 ++-
 8 files changed, 290 insertions(+), 288 deletions(-)

diff --git a/Makefile b/Makefile
index 4582f05..34f2992 100644
--- a/Makefile
+++ b/Makefile
@@ -1,4 +1,4 @@
-UTIL_VERSION            := 0.5.8
+UTIL_VERSION            := 0.5.9
 UTIL_NAME               := codeplag
 PWD                     := $(shell pwd)
 
diff --git a/docs/notebooks/usecases.ipynb b/docs/notebooks/usecases.ipynb
index 3fa8182..4da905a 100644
--- a/docs/notebooks/usecases.ipynb
+++ b/docs/notebooks/usecases.ipynb
@@ -5,7 +5,7 @@
    "id": "a264e72a",
    "metadata": {},
    "source": [
-    "## Импортирование установленных пакетов"
+    "## Информация о текущей версии"
    ]
   },
   {
@@ -13,10 +13,19 @@
    "execution_count": 1,
    "id": "9501dbc9",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "codeplag-0.5.9\n"
+     ]
+    }
+   ],
    "source": [
-    "import codeplag\n",
-    "import webparsers"
+    "from codeplag.consts import UTIL_VERSION, UTIL_NAME\n",
+    "\n",
+    "print(f\"{UTIL_NAME}-{UTIL_VERSION}\")"
    ]
   },
   {
@@ -35,7 +44,7 @@
    "outputs": [],
    "source": [
     "from codeplag.algorithms.tokenbased import value_jakkar_coef\n",
-    "from codeplag.utils import get_files_path_from_directory\n",
+    "from codeplag.getfeatures import get_files_path_from_directory\n",
     "from codeplag.pyplag.utils import get_ast_from_filename, get_features_from_ast"
    ]
   },
@@ -44,9 +53,31 @@
    "execution_count": 3,
    "id": "22a78044",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Количество файлов: 4\n",
+      "[PosixPath('/usr/src/codeplag/src/codeplag/algorithms/stringbased.py'),\n",
+      " PosixPath('/usr/src/codeplag/src/codeplag/algorithms/featurebased.py'),\n",
+      " PosixPath('/usr/src/codeplag/src/codeplag/algorithms/compare.py'),\n",
+      " PosixPath('/usr/src/codeplag/src/codeplag/algorithms/tokenbased.py')]\n"
+     ]
+    }
+   ],
    "source": [
-    "py_files = get_files_path_from_directory('../../src/codeplag/', extensions=[r\".py\\b\"])"
+    "import re\n",
+    "from pathlib import Path\n",
+    "from pprint import pprint\n",
+    "\n",
+    "py_files = get_files_path_from_directory(\n",
+    "    Path(f\"/usr/src/{UTIL_NAME}/src/{UTIL_NAME}/algorithms\"),\n",
+    "    extensions=(re.compile(r\".py$\"),)\n",
+    ")\n",
+    "py_files = list(filter(lambda file: file.name != \"__init__.py\", py_files))\n",
+    "print(\"Количество файлов:\", len(py_files))\n",
+    "pprint(py_files)"
    ]
   },
   {
@@ -54,22 +85,38 @@
    "execution_count": 4,
    "id": "4ed03de8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                 stringbased.py  featurebased.py  compare.py  tokenbased.py\n",
+      "stringbased.py         1.000000         0.442424    0.291667       0.437037\n",
+      "featurebased.py        0.442424         1.000000    0.305970       0.475862\n",
+      "compare.py             0.291667         0.305970    1.000000       0.378947\n",
+      "tokenbased.py          0.437037         0.475862    0.378947       1.000000\n"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
     "from codeplag.pyplag.utils import get_ast_from_filename, get_features_from_ast\n",
     "\n",
-    "chacked_files = 15\n",
-    "mapped_files = list(map(lambda x: x.split('/')[-1], py_files[:chacked_files]))\n",
+    "\n",
+    "mapped_files = list(map(lambda x: str(x).split('/')[-1], py_files))\n",
     "count_files = len(py_files)\n",
-    "df = pd.DataFrame(index=mapped_files, columns=mapped_files, data=np.zeros((chacked_files, chacked_files)))\n",
-    "i = 0\n",
-    "for file1 in py_files[:chacked_files]:\n",
+    "df = pd.DataFrame(\n",
+    "    index=mapped_files,\n",
+    "    columns=mapped_files,\n",
+    "    data=np.zeros(\n",
+    "        (count_files, count_files)\n",
+    "    )\n",
+    ")\n",
+    "for i, file1 in enumerate(py_files):\n",
     "    tree1 = get_ast_from_filename(file1)\n",
     "    features1 = get_features_from_ast(tree1, file1)\n",
-    "    j = 0\n",
-    "    for file2 in py_files[:chacked_files]:\n",
+    "    for j, file2 in enumerate(py_files):\n",
     "        if i == j:\n",
     "            df.iloc[i, j] = 1.0\n",
     "            break\n",
@@ -80,8 +127,8 @@
     "        df.iloc[i, j] = result\n",
     "        df.iloc[j, i] = result\n",
     "        j += 1\n",
-    "\n",
-    "    i += 1"
+    "    i += 1\n",
+    "print(df)"
    ]
   },
   {
@@ -112,7 +159,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 800x320 with 2 Axes>"
       ]
@@ -152,37 +199,50 @@
    "execution_count": 6,
    "id": "6d9a862c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                 stringbased.py  featurebased.py  compare.py  tokenbased.py\n",
+      "stringbased.py         1.000000         0.419378    0.247131       0.476936\n",
+      "featurebased.py        0.419378         1.000000    0.193794       0.435390\n",
+      "compare.py             0.247131         0.193794    1.000000       0.276303\n",
+      "tokenbased.py          0.476936         0.435390    0.276303       1.000000\n"
+     ]
+    }
+   ],
    "source": [
-    "from codeplag.utils import run_compare\n",
+    "from codeplag.algorithms.compare import fast_compare\n",
     "\n",
     "import pandas as pd\n",
     "import numpy as np\n",
     "from codeplag.pyplag.utils import get_ast_from_filename, get_features_from_ast\n",
     "\n",
     "weights = np.array([1, 0.4, 0.4, 0.4], dtype=np.float32)\n",
-    "chacked_files = 15\n",
-    "mapped_files = list(map(lambda x: x.split('/')[-1], py_files[:chacked_files]))\n",
-    "count_files = len(py_files)\n",
-    "df = pd.DataFrame(index=mapped_files, columns=mapped_files, data=np.zeros((chacked_files, chacked_files)))\n",
-    "i = 0\n",
-    "for file1 in py_files[:chacked_files]:\n",
+    "df = pd.DataFrame(\n",
+    "    index=mapped_files,\n",
+    "    columns=mapped_files,\n",
+    "    data=np.zeros(\n",
+    "        (count_files, count_files)\n",
+    "    )\n",
+    ")\n",
+    "for i, file1 in enumerate(py_files):\n",
     "    tree1 = get_ast_from_filename(file1)\n",
     "    features1 = get_features_from_ast(tree1, file1)\n",
-    "    j = 0\n",
-    "    for file2 in py_files[:chacked_files]:\n",
+    "    for j, file2 in enumerate(py_files):\n",
     "        if i == j:\n",
     "            df.iloc[i, j] = 1.0\n",
     "            break\n",
     "\n",
     "        tree2 = get_ast_from_filename(file2)\n",
     "        features2 = get_features_from_ast(tree2, file2)\n",
-    "        result = np.sum(run_compare(features1, features2) * weights) / weights.sum()\n",
-    "        df.iloc[i, j] = result\n",
-    "        df.iloc[j, i] = result\n",
+    "        result = fast_compare(features1, features2, weights=weights)\n",
+    "        df.iloc[i, j] = result.weighted_average\n",
+    "        df.iloc[j, i] = result.weighted_average\n",
     "        j += 1\n",
-    "\n",
-    "    i += 1"
+    "    i += 1\n",
+    "print(df)"
    ]
   },
   {
@@ -203,7 +263,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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EpNRSt76IiIiIJAx164uIiIhIwih5uamSUxEREZFSS936IiIiIpIwSl5uquRUREREpLRyjTkVERERkYShbn0RERERSRglLzdVcioiIiJSaqlbX0REREQShrr1RURERCRhlLzcVMmpiIiISKmlbn0RERERSRjJSk5FREREJFGo5VREREREEkbJy02VnIqIiIiUVl4C79ZPKu4ARERERKSQmOVviqtKO8TMppvZIjObaWatsyljZnavmX1pZvPNbJqZHRxP/UpORUREREory+cUn5HAY+7eArgHeCKbMmcBHYF27n44MBX4TzyVKzkVERERKa2SLH9THsysLnAU8FxYNB5obmbNsileHqhgZgZUA5bHE7LGnIqIiIiUVgV/t34TYKW77wJwdzezZUBTYElMuVeBTsBqYBOwAvh9PDtQclrCpC17vrhDkCLUvfFpxR2CFKGKZToUdwhShK5rc3JxhyD7g3zmpmY2ABgQs2iYuw/LUszj2MtRwKFAI+AX4C7gYeDSvGJQclrCvLn8jeIOQYpI98anUbFp7+IOQ4pI9MFzUXGHIUWmBS/98GZxByFFpGfz7sW383zerR8S0azJaKwfgcZmVsbdd4Uu+ybAsizlLgWmuXsqgJk9DbweV8j5ilhERERESo4CHnPq7muAOUCfsKgHsMTdl2QpuhjoamZlw+MzgQXxhKyWUxEREZFSygvna077AaPN7J9EXfZ9AcxsFDDJ3ScBjwCtgC/MbAewKmyXJyWnIiIiIqVVIXwJv7t/AxyfzfIrYua3A3/el/qVnIqIiIiUVgV/t36hU3IqIiIiUlqVwJ8vVXIqIiIiUlqVwFvflZyKiIiIlFbq1hcRERGRROHJJa/pVMmpiIiISGlV8nJTJaciIiIipZZuiBIRERGRhKExpyIiIiKSMNRyKiIiIiIJo+TlpkpORUREREorV8upiIiIiCQMJaciIiIikjB0Q5SIiIiIJAx9z6mIiIiIJAy1nIqIiIhIwtCYUxERERFJGEpORURERCRRuLr1RURERCRh6IYoEREREUkYajkVERERkYRRWsecmtnZwF3AduBid/8iPzsxs3ZAC3cfl+8I8657NDDL3R8u6Lrz2G8n4D53P6Yo91tarFn+M2PuHsOWjVuoWKUiF910IfWb1c+27M4dO7m3332Uq1COG/57PQArF6/kpYdeYlPqZpLLJNOsdTN6XtODMuX0easkun9IX07vdjQHNEnh6G43snDR8uIOSX6DJUtWcvPNw9mw4ReqVq3MXXf9nYMPbpqpzPLlP3HLLQ+wcOFiDjigIRMmDM+0ftSoCbzyylR273aaN2/EnXf2p1q1KkV5GBKntSvWMP6+MWz5ZQsVKlek5/UXUfeAnN/PH7nmXsqWL8fV/3dDpnXuzpO3PMLqxSsZOO4/RRH6/iG54JNTMzsEeBqoA6QCl7r7wixlLgEGxCxqDHzg7uflVX+8IxGuAga5e7v8JqZBO+D8fdgOM1O2UQqNGz6ODqcfz63PDKTrBV14/r7ncyz72hOTada6WaZlZcqVpcffejJw9D+5aeSNbNuSxrv/m1bIUUthmTB5Bl173MbSH38u7lCkAAwa9Ajnn38qU6aM5IorejBw4EN7lalSpRL9+/fh/vtv2Gvdxx/PYeLEd3nhhXt5/fURtGp1IMOHP1sUocs+mPjQOI49rQMDnriVjr26MmF4zu/nb49+jaaHNst23aeTPqRm3VqFFOX+y5MsX1OcRgKPuXsL4B7gib326/5MyBvbuXs7YBUwJp7K80xOzewh4CTgbjObbmbHmtm7ZjbLzGabWY9QroyZTQnLvzSzMWZWyczqAkOBbmY218weDeXdzKrE7GetmTUL80vMbKCZTQOeNrOyZnaXmc0MdbxgZjViwjzCzKaa2ddmNtrMyod6LjSzGWY2J2z3h7A8ycweDuXnmdnnZlYhrDvVzD4Ky2aYWceYGG83s+/M7H3gjFzO2Xtm9kD4+62Z3WuRY83sK7NfB4CY2Sdmdlpe16E02bRhE8u//ZFjTo4anY/oeATrVq9n3ep1e5X9fv73rF3xM8eenLmBum7jFBod1BCApOQkmrZsyrpVe28vJcPHM79mxer1xR2GFIB161JZuPB7zjqrMwCnntqB5ct/YvnynzKVq1GjKscccxgVK1bYq46vv/6Bo49uTZUqlQDo1OlYJk7Uh89EtDl1Eyu/W84RXaP36MNOPIINP61jQzbv50sWfM+6FWtp1/XYvdatXbGG+e/PpuMF3Qo95v2OWf6mPKuzusBRwHNh0XigeUYOl8M2vwPqAZPiCTnP5NTdrwVmAdcCfyDKli8K3dmnAMPMrD6QDlwYlrcBfgH+6u5rgEHAOyF7viqewICmQBd3vwi4Edjs7r8L2feXwJCYsu2Bs4HDgFpA/7B8CnCcux8JnAOMMrOywBFAV6C1ux8BdAF2mNmBwGDgD+5+NHAR8HxIjs8EziJqBe4CtMgj/tbAyWFfnYFe7v4ZsD7sGzM7iqhJ/M04z0mpkPpzKtVqVyc5ORkAM6Nm3ZpsWJOaqdz2tO1MGPEyvfr3yrW+7Wnb+eT1T2lz/GGFFbKIxGnVqrXUrVuLMmV+fX03aJDCqlXxt4q3aXMI06fPZe3aDbg7kyZNY8uWNFJTNxVW2LKPNv6cStXa1TK9n1dPqUnqzxsylduxbTuTH53AWX/b+/189+7dvPLAi5x5dc899UgBSrL8TXlrAqx0910A7u7AMqK8LSeXA8+6+864Qo6nUIwOwIHAG2Y2F3gHMKBl+Hudmc0B5gOnEyVy++qpcMAQJZZ9QuvnXKB3iCPDi+6+2d3TgSeBjI9ezUOsC4BXiBLBA4DFQFngSTPrC5R1991Ad+Bg4IOwn5dCPU2IEsys+8nN0+6+0923En26yIjpQeDqMP83YETMcWZiZgPMbHnGNGzYsDx2WXJYlk9nzt6nYOJjkzjp7BOpkVIjx3rSd6Uz+t9Pc+gxLWl7QtuCDlNE9kHWxpcc3uJy1L59Wy677FyuvHIoF1xwIykpUVdvRsIricXY64LvVeaNURNpf+ZJVK9TY691H42fRrO2B9HwoMaFFOF+zvI3Zc09zGxANrVmvcg5ZrVmVgm4gGy6/nOS3/GcBsx39457rTDrA/we6Ojum8zsWmCvcjHSgdh3mqx9O5uz7Pev7v5unHFmnLQXgBvc/ZUQ43qggrtvNLPDQrydgTtD970Bb7r7Jdkc328dUZwR0wSiIRJHAmcC1+W4gfswIDYj9TeXv/Ebwyh+NVJqkLo2lfT0dJKTk3F3UtekUrNujUzlFn+xmK9mLGTKs1PYuWMXWzdv5c4/3cUtT94MRInpU0NHU712Nc67Os/x1SJSBBo0qMPq1evYtSudMmWi1/fq1Wtp0CAlX/X07n0avXtHI57mzv2a+vXr7Onml8RRPaUGG7O8n29cm0qNlJqZyi1dsJhFM79i2pgp7Nq5k7TNW3nwyjvp/9gtLPniO1b/sJI573zG7t3ppG3eyr2XDOGaR26kYlVd898qKZ/NkNnkHln9CDQ2szLuvivkR02IWk+z0xP4KusNU7nJb3I6HTjEzLpkJIrhTvyFQE1gXUhMqwKXErVQQtTFXz1LXd8Tdce/ZWbnAZVz2e8kYICZferuW0MW3tzdvwzre5nZA8A24DKiFl1CTEtCnH3CY8wsBUh397fM7G2iJLU18BYw2MzauPuCUPZ37j4TmArcEbOfS/M4Vxeb2YtELbQXAvcChAs5MhzTeHdPzaOeUqdqzao0PrgRs96eRfvu7Zn3wTxq1a9F7fq1M5W7edQ/9sx/O/dbJo6ctOdu/fT0dEbf/jSVqlbiggEX7NUSKyLFo3btGrRufSCTJk3jvPO6MWXKdBo1qkfjxvXyVc+aNeupW7cWaWnbeOihMVxxhT6AJqIqNarS8KDGzJs6i6NOac+XH82jZr1a1Mzyfn7tozfvmV8871veGDVxz936lwztt2fdhtXrGHHt/dz4zOCiOYD9QEH/e3T3NaGXvA8wGugBLHH3JTls8ify0WoK+UxO3X1DGHt5r5kNJ0q8lhF1uz8DnG1mC4EVwIdAo7DpVOAGM5sHfBLGnf4deMTM1gDTgNzuZrmLaCzoDDPLaIG8m2jsKcAHRN32TYBPgf8Ly/sDL5vZCuATfs3qmwCPh/GnSURJ9xvuvjMksaPMrCJQDphNNMb2NTM7HpgXju99oq9FwMwaAq+H8bAZZhMlyY1CbC/FrHsC+A9QpF9/lUjOv+58xt49lrfHvkOFyhW46B8XAvD8fS/QpkMb2nZok+v2c6bNYf6H82l4YEPu7XcvAM0PO5Be/XsWeuxS8Ib/+zLOPOVo6qXUYPLYgWzZuo02HXPsVJAEN2TI1dxyywOMHPk/KleuxN13/x2AgQMfokuX9nTt2p4dO3bSrduf2bFjJ5s3b6Vjx0s5++zOXH99XwAuv3wQu3fvZufOXZx1Vmf69MnxHlQpZmdfez7j7x/Ley++TflKFeh5/UUATBj+PK2Oa0Or4zXkqjgVUttNP2C0mf2TqAGyb7QvGwVMcvdJ4fFBwNFEPcVxs/yOBZK8mdl7RN+B+loO688H+rl713xWXSq69SU+3RufRsWmvYs7DCkiacueBxYVdxhSZFrw0g/71b2w+7WezbsXW/feQf/9IF+J3vd/6VjsXZH6DtEiZmZvEt3pf25xxyIiIiKlW0kc9abktBC4e6dc1nUvwlBERERkP6bkVEREREQShuX3S0MTgJJTERERkVJKLaciIiIikjDi+9GnxKLkVERERKSUUsupiIiIiCQMJaciIiIikjCSkktedqrkVERERKSUUsupiIiIiCQMJaciIiIikjCUnIqIiIhIwtBXSYmIiIhIwlDLqYiIiIgkDCWnIiIiIpIwrAT26ys5FRERESml1HIqIiIiIglDyamIiIiIJAwlpyIiIiKSMErgkFMlpyIiIiKllVpORURERCRhWFJxR5B/JTBkEREREYmHWf6m+Oq0Q8xsupktMrOZZtY6h3Jtzew9M/vKzL4xs/PiqV8tpyIiIiKllBVOv/5I4DF3H21mPYEngOOz7LcS8ArQ190/MrMyQM14KlfLqYiIiEgpVdAtp2ZWFzgKeC4sGg80N7NmWYpeCHzi7h8BuPsud/85npiVnIqIiIiUUklJ+ZvMbICZLY+ZBmSpsgmw0t13Abi7A8uAplnKtQa2mdlrZjbXzJ4xs5R4Yla3fgnTvfFpxR2CFKG0Zc8XdwhSpFoUdwBShHo2717cIch+IL9fJeXuw4BheRXL8ji7vZQFTgWOA1YCtwOPAOfnFYOS0xImbdf04g5BikjFMh2ARcUdhhSZFlRs2ru4g5AikrbseTbumFLcYUgRqV7u1GLbdyF8z+mPQGMzK+Puuywa1NqEqPU01lJgmruvADCzMcDr8exA3foiIiIipVSSeb6mvLj7GmAO0Ccs6gEscfclWYqOA441s2rhcXdgXjwxq+VUREREpJQqpF+I6geMNrN/Ar8AfQHMbBQwyd0nufsyM7sT+MTMdgErgCvjqVzJqYiIiEgpVRhd5O7+DVm+OiosvyLL42eAZ/Jbv5JTERERkVIqnq76RKPkVERERKSUKqRu/UKl5FRERESklCqJd74rORUREREppdRyKiIiIiIJwzTmVEREREQShVpORURERCRhaMypiIiIiCQMfZWUiIiIiCQMdeuLiIiISMJQt76IiIiIJAy1nIqIiIhIwiiTpDGnIiIiIpIg1K0vIiIiIglDd+uLiIiISMLQmFMRERERSRhKTkVEREQkYWjMqYiIiIgkDI05FREREZGEoW59EREREUkY6tYXERERkYShllOROC1dupp//XMUqRs2U7VqJYbecTkHHdwoU5mZny7koQfGs3XLNizJ6NTlSK659jzMjBUr1nLWaf/ItM39D1xDk6Z1i/pQJA5Llqzk5puHs2HDL1StWpm77vo7Bx/cNFOZ5ct/4pZbHmDhwsUccEBDJkwYnmn9qFETeOWVqeze7TRv3og77+xPtWpVivIwpIDcP6Qvp3c7mgOapHB0txtZuGh5cYckv8GypWsYMvA5UlO3ULVqRQbdfhEHHtQgU5nPZixixIOvhvfzJDp2bstf/nY6ZlHm9Nzoqbw2cSbJyUmUL1+GG27pSes2BxTH4ZQ6VghjTs3sEOBpoA6QClzq7guzlOkEvA4sill8vLun5VV/SWztLRZmpkS+AN1+29P06NmJSa/fxaV/Oo0hg57aq0y16pW5695+THj1DsaOG8znn33DG5M/3bO+atVKjJswdM+kxDRxDRr0COeffypTpozkiit6MHDgQ3uVqVKlEv379+H++2/Ya93HH89h4sR3eeGFe3n99RG0anUgw4c/WxShSyGYMHkGXXvcxtIffy7uUKQA3Dn0Rc7teQLjX/sXF1/WldsHPb9XmWrVKnL73X15ceJAnn7hBubM+o4pr38OwKJvVjBu7Ac8OWYAY176B73+2JF77vhfUR9GqZVk+ZviNBJ4zN1bAPcAT+RQbqG7t4uZ8kxMIcGSUzM73sw+NLN5ZjbfzM42s2PM7JPweKaZnRDKNjOztWZ2u5nNMbOvQ9nHYso2DGUvNbO3zWy8mc01s/fNrGlY1zbsc7aZLTSzW2LiGW1mD5nZm8C8sOxiM5sRyr9vZm1yOJYlZnanmX1gZt+Z2YCwvJeZTYkpl2xmS82sdaGd2ASzft0vfPXVUk4/83gAup1yDCuW/8yKFWszlTu01QE0bhIlnOXLl6XloU1YsVz/zEqadetSWbjwe846qzMAp57ageXLf2L58p8ylatRoyrHHHMYFStW2KuOr7/+gaOPbk2VKpUA6NTpWCZOnFb4wUuh+Hjm16xYvb64w5ACsH7dJr75ajndzzgGgC4nt2PlinWsXLEuU7mWrZrQqEkdIHo/b9GyESuW/1pm16500rZuB2DTpjTq1qtRNAewH0jK55QXM6sLHAU8FxaNB5qbWbOCjDkhmFkt4GXgH+5+BNAO+ASYANzm7ocDA4CXzKxy2Kw28Im7H0mUtb8DjAhlZwHXxOziROCf7t4OmAw8GpYvAbq5+1HA0cD5ZnZMlu16uvthITH+I9AxlL8VGJPLYdVz947AcUB/M2sfjqdlaBIHOAf4LmtzeGm2evV66qbUpEyZZADMjPoNarN61boct1n780beeWsWJ3Y8fM+yzZvTuPD8Ifyx52BGjphIevruQo9d8m/VqrXUrVsr0/Vu0CCFVavi/6DRps0hTJ8+l7VrN+DuTJo0jS1b0khN3VRYYYtIHH5avYGUlGpZ3s9rsnrVhhy3Wbv2F6a+PZcTToraZFq0bMSFl3TmnNOGcEbXf/H8s9O44ZaeRRL//iDJPF+TmQ0ws+Ux04AsVTYBVrr7LgB3d2AZ0DTrvonyndlm9pmZ/TXemBOpq/p4oubf6QDuvtvM6gE73H1KWPaRma0BDgdWAZvdfXLYfjaw3N3nhsefAyfH1P+Ru38T5h8Dhlg02KUiMMLM2gG7iU56O6LkFmCcu28O82cDRwAzMsbJAClmVs7dd2RzTE+EuNea2ctAV3efYWYjgL8C1xEl0Hv3cZZ2WboOoud29jZvTuPaqx/g0j/9gVatmwGQklKdt94dRq3a1diYupmbbvgvz4x+k8su/0MhBi37yvJxvbPTvn1bLrvsXK68cihlyiRz8slRq3vGP0QRKUZZXuC5vbw3b07j+mse4+LLunJo6yYArFq5ng+mLeDl1wdRJ6U648Z+wKCbn+HRp64tzKj3G/m9IcrdhwHD8iqW5XF2e5kNNHb3jWbWGHjdzNa6+7i8YkiYltMcGHufAGKWbY9Zlg5sy/I4nuT7P8BPwJGhxfY9ILZfcXPMvAFPZhk/0TCHxDQ7GXE/TtRC+zvgQGBSdoWzfnoZNiyv50rJUL9+Ldb8tIFdu9KBKFH5afV66jeovVfZLVvS+Gu/++nU+UguvvTUPcvLlStLrdrVAKheowrnnHsScz5ftNf2UvwaNKjD6tXrMl3v1avX0qBBSr7q6d37NCZMGM64cfdx7LGHUb9+nT3d/CJSPOrVr8man1KzvJ9voH6DmnuV3bJlG/2v+i8dO7Xhor5d9iyf+tYcDjqkAXVSqgNw5jntmfP59+oNKyCFMOb0R6Bxxr04oaGvCVHr6R7u/ou7bwzzy4HngZPiijn+wyt004FWZtYBwMySgNVAeTPrEpZ1AOoCX+xD/SeYWYswfwXwbmiKrknU4rrLzFqSubU1q1eBS8ysSUaMWYYAZHVZKFeLqPt+KoC7bwh1jQcedff07DZ292Hu3jhjGjAga8t6yVSrdjVatmrK5Fc/AeCdt2bRsFEdGjWqk6nc1i3b+OuVw+hwQhuu/MtZmdatX/cLO3fuAmDHjp1MfedzDm2lOzsTUe3aNWjd+kAmTYrGiE6ZMp1GjerRuHG9fNWzZk00RjEtbRsPPTSGK644r8BjFZH8qVW7Ki0Pbcybr0Wdje++PZeGjWrRsFHmxoatW7fT/6r/ctwJrbj8qu6Z1jVqXId5sxezNYw5/fD9BTQ7sB7JyYmUopRcyfmc8uLua4A5QJ+wqAewxN2XxJYzswYhl8PMqgJnhO3ylDDd+u6+wczOBe4PB+HAv4gO+qEwznQb0Mvdt5hZ/ppd4H3gtnDj0UbgkrD8duBZM7uIaPzpu7nE+IGZ/ROYaGbJQFmi8auzQpI61N1j+5WXmtmHQAPgIXefGbPuceBSYFQ+j6NU+Nfgvgwa+ARPPP4aVapUZOh/rgBgyKAn+X2nI+nU5UjGPPc2Xy74gbS07bz7zmwATj71WP7c70zmzF7EiIdfITkpiV3p6fyufSuu6HdGcR6S5GLIkKu55ZYHGDnyf1SuXIm77/47AAMHPkSXLu3p2rU9O3bspFu3P7Njx042b95Kx46XcvbZnbn++r4AXH75IHbv3s3Onbs466zO9Omj611SDf/3ZZx5ytHUS6nB5LED2bJ1G206XlfcYck+umXQBQy5dQxPjXqLypUrMPiOKGe5ffBYOnZqS8fObXnhuff4csFS0tJ28N7U+QB0PaUdf7ryVDp1PZyFC5bS94J7KVuuDJUrV2DonRcX5yGVKmWSCuXnS/sBo0NO9AvQF8DMRgGT3H0SUf72FzPbRZRv/g/Y+6t5smH5HftVEpnZpcAZ7l5kI6zNbEnY54Ic1t8EtHT3y/NRraftml4Q4UkJULFMBzJ/PZyUbi2o2LR3cQchRSRt2fNs3DEl74JSKlQvd2qxfRX+PfPfzleid9PhJxf71/YnTMvp/sTMviRqGe6eV1kRERGRfZVc7Klm/u0Xyam7jwZGF/E+m+Wy7rAiDEVERET2U/r5UhERERFJGEmF8POlhU3JqYiIiEgppZZTEREREUkYJfGnSpScioiIiJRSajkVERERkYShMaciIiIikjD0VVIiIiIikjDUrS8iIiIiCUPJqYiIiIgkDCWnIiIiIpIwknVDlIiIiIgkiqTiDmAfKDkVERERKaXUrS8iIiIiCaNskrr1RURERCRBqOVURERERBKGklMRERERSRhKTkVEREQkYejnS0VEREQkYSTpe05FREREJFGUxO85LYkxi4iIiEgckix/UzzM7BAzm25mi8xsppm1zqVsBTNbaGaz4o453oIiIiIiUrIkW/6mOI0EHnP3FsA9wBO5lL0D+CQ/MSs5FRERESmlkszzNeXFzOoCRwHPhUXjgeZm1iybsicBhwDP5ivm/BQWERERkZIjv936ZjbAzJbHTAOyVNkEWOnuuwDc3YFlQNPYQmZWGXgA+Et+Y9YNUSIiIiKlVH6/59TdhwHD8iqW5XF2e7kXeMTdV5jZIfmJwaKEV0oIXSwREZGSp9i+bXTGmsn5yh3a1z0911hDt/63QG1332VmBqwCjnP3JTHl5gPVwsMKQE3gO3c/LK8Y1HJawgxf8HZxhyBF5Lo2J/PSD28WdxhSRHo2787GHVOKOwwpItXLnUrFpr2LOwwpImnLni+2fVsBp8XuvsbM5gB9gNFAD2BJbGIayh3+awzWCbjP3Y+JZx8acyoiIiJSSlk+pzj1A/qZ2SLgZuByADMbZWZn/daY1XIqIiIiUkoVdMspgLt/AxyfzfIrcij/HhBXqykoORUREREptUpiF7mSUxEREZFSKp7vLk00Sk5FRERESqnC6NYvbEpORUREREqpEpibKjkVERERKa3y+yX8iUDJqYiIiEgpVQJzUyWnIiIiIqWVxpyKiIiISMIogbmpklMRERGR0krJqYiIiIgkDN0QJSIiIiIJowTmpkpORUREREor0y9EiYiIiEiiUMupiIiIiCQMfZWUiIiIiCSMpOIOYB8oORUREREppdRyKiIiIiIJowTmpkpORUREREortZyKiIiISMJIVnIqIiIiIomiBOamSk5FRERESqv9+kv4zew24D/uviOPckuAM9x9QQHt9z3gPnd/rSDqy8d+LyU6jp5Fud/SInXlGqY9/CzbftlMucqV6HxNH2o1aZBt2V07djL+xrspU74sPe75x57lcye+wzfTZpCUnERy2bKceEUv6h58QFEdguTD2hVrGH/fGLb8soUKlSvS8/qLqHtA/WzL7tyxk0euuZey5ctx9f/dkGmdu/PkLY+wevFKBo77T1GELvtg2dI1DBn4HKmpW6hatSKDbr+IAw/K/Pr+bMYiRjz4Klu3bMOSkujYuS1/+dvpWBgg99zoqbw2cSbJyUmUL1+GG27pSes2en2XRPcP6cvp3Y7mgCYpHN3tRhYuWl7cIe1XCqPl1MwOAZ4G6gCpwKXuvjBLmeOB/4aHZYGPgGvdfXte9Rfk118NBsoVYH1Sin0w8gVadTuB3g8Ppt053Xh/xJgcy84c+yr1WjTPtGztkuUseP19zrvzBnrdfwttTuvIh4+PK+ywZR9NfGgcx57WgQFP3ErHXl2ZMPz5HMu+Pfo1mh7aLNt1n076kJp1axVSlFJQ7hz6Iuf2PIHxr/2Liy/ryu2D9r7e1apV5Pa7+/LixIE8/cINzJn1HVNe/xyARd+sYNzYD3hyzADGvPQPev2xI/fc8b+iPgwpIBMmz6Brj9tY+uPPxR3Kfsksf1OcRgKPuXsL4B7giWzKzAOOdfd2QFsgBegXT+UFkpya2aNhdrqZzTWzemb2spl9YWYLzOzKHLa71sw+MrMUM6tvZuPMbKaZzTezoTHllpjZYDObbmY/mNmtWarqZmbvmdm3ZnavhY/eZjbAzD4zszmh3vZheUUze9HMFprZPDN7K2ZfF5vZDDObbWbvm1mbsLycmY00s0VmNg1on8v5WGJmd5rZB2b2nZkNCMt7mdmUmHLJZrbUzFrn64SXcGkbN7F28Y+0+P2xABx4XDt+WbOOX9as26vsqoXfsXHVGg4JZWPtTk9n5/boA9iOLWlUqV2jUOOWfbM5dRMrv1vOEV2PAeCwE49gw0/r2LB67+u9ZMH3rFuxlnZd977ea1esYf77s+l4QbdCj1n23fp1m/jmq+V0PyO63l1ObsfKFetYuSLz9W7ZqgmNmtQBoHz5srRo2YgVy38ts2tXOmlbo9f3pk1p1K1Xo2gOQArcxzO/ZsXq9cUdxn7L8jnlWZ9ZXeAo4LmwaDzQ3MyaxZZz963uvjM8LAdUBHbHE3OBdOu7+1Vm1g/o4O6bzexF4Gt3PzccxOdmNtfdZ4ZNksxsONAUONnd00LSdoe7f2BmZYDXzOxcd385bFPD3TuYWQrwnZk95e4rwrrWwMlEzcYfAL2AccCz7j4MwMyOI8rs2wDdgZru3jqsqxX+ngD8Eejo7tvN7CRgDHAEUbbfHDgsZj9Lcjkt9dy9o5nVCcf/MTABuNfMDnH3b4FzgO+yNoWXdpvXbqByreokJScDYGZUqVOLzT9voFrd2nvK7dy2nY+fGk/3m/uxcdWaTHXUadaYw8/swti/DKZ8lcokly3DWf/+e1EehsRp48+pVK1djeSY6109pSapP2+gZv1fr/eObduZ/OgE+tz2Z9atyNzCsnv3bl554EXOvLrnnnokMf20egMpKdUoU+bX612/QU1Wr9pAw0a1s91m7dpfmPr2XB4YcRUALVo24sJLOnPOaUOoXq0SZcuVYeTo/kV2DCKlSX5bIUOD2oCYRcMycqmgCbDS3XcBuLub2TKinG5JlrqaAa8ABwOTgccKI+Z4dQMeAXD3NURJWdeY9U8CFYBeITGtDHQBHjKzucAsogM5NGabMaG+n4HFRIlihqfdfae7byXK5DOaVo4MrZ8LgEeB1mZWjqip+VAzG2FmFwAZmf3ZRInojBDH/wEpYZvO2ewnN0+EeNcCLwNd3T0dGAH8NZS5Bng4j3r2D773gO1PnnmFNt07ZtsiumnNepZ+9gW9R9zGxY/fzuFndGbqg6MLP07ZJ5b183g21/uNURNpf+ZJVK9TY691H42fRrO2B9HwoMaFFKEUqCx9g9lc7j02b07j+mse4+LLunJo6yYArFq5ng+mLeDl1wfx2tR/0/vizgy6+ZnCjFik1Mpvt767D3P3xjHTsGyqzfqqzrbR1d2XhG79+kB54Lx4Yi7Mu/WzBh77+D2ils66wGqiJNmJxibsJHvbYubTyT12DwnleKCTu39uZtWAjUA5d18cutK7ECWy95hZO6KT+6S7D8paYcZQgd8g4/gfBxaY2fPAgcCknDbI+unl/vvvx05p+xvDKH5V6tRky/pUdqenk5ScjLuzed0GqqTUzFRu9Vffs2z2l8z63xuk79zJ9s1pvNj/di548Fa+/2Q2NZs2pHLN6gC07HIcHz35ErvTd5OUXBJ/Sbj0qp5Sg41rU0lPTyc5XO+Na1OpkeV6L12wmEUzv2LamCns2rmTtM1befDKO+n/2C0s+eI7Vv+wkjnvfMbu3emkbd7KvZcM4ZpHbqRi1UrFdGSSnXr1a7Lmp1R27UqnTJnoev+0egP1G9Tcq+yWLdvof9V/6dipDRf17bJn+dS35nDQIQ2okxK9vs88pz333zWe9PTdJOv1LZJPBX5L1I9AYzMr4+67Qn7UBFiW0wahV/0F4CLghbx2UJDJ6SagOrAZeAe4EhgcuuHPBWLvah8NzATeNbPT3H2pmX0I3Az8G8DMGgJJ7h7PbX0Xh6EEZYELgXuJWmbLEp1EgL9lFDazxsAGd59kZm8Sda83AV4FnjGzx939RzNLAo5y91nA1Gz2k+OFAC4DPg5DBs4Bzgdw9w1m9ipR4jwitKZmK3xaif3E4sMXvB3H6UhsFatXpXbzxix6/zMO7XIciz+dS9WU2pm69AHOH/7PPfMrFizi02de3nO3frV6dVj03kx2pm2nbMXyLJ31BTUb1VNimoCq1KhKw4MaM2/qLI46pT1ffjSPmvVqZerSB7j20Zv3zC+e9y1vjJq45279S4b+OoZ+w+p1jLj2fm58ZnDRHIDkS63aVWl5aGPefG0WZ5zTnnffnkvDRrX26tLfunU7/a/6L8ed0IrLr+qeaV2jxnV4fdJnbN26nUqVyvPh+wtodmA9JaYi+2CvnqvfyN3XmNkcoA9RPtcDWOLuSzLt1+wgYJm77wwNhucB8+PZR0Emp/cTJZtpwKnAo2Y2n6hV9I6Y8aYAuPs4M9sCvGVmZxJl08PM7ItQZDNwFRBPcjqbKCFuRDS24aUwBmIQMDOMhYhtoWwL3BWy/SSisanzAczsn8BEM0smSkInEw0zeAw4HFgYYvoQOCBscwww1N3/ELOPjIS7AfBQluN/HLgUGBXHsZVKv+/Xm2kPP8ucCVMoV6kCna+5BID3Royh2bFtaXbs4blu37z9Efz83VLG33QPyWXLULZiebr271sUocs+OPva8xl//1jee/FtyleqQM/rLwJgwvDnaXVcG1odX/J7BORXtwy6gCG3juGpUW9RuXIFBt/RB4DbB4+lY6e2dOzclheee48vFywlLW0H702N/l91PaUdf7ryVDp1PZyFC5bS94J7KVuuDJUrV2DonRcX5yHJbzD835dx5ilHUy+lBpPHDmTL1m206XhdcYe134ja2QpcP2B0yJl+AfpG+7JRwCR3nwR0Aq4zs4ze7ncJDZB5xuy5DQaSfWJ5fJermd0EtHT3y/NZdaloOZX4XNfmZF764c3iDkOKSM/m3dm4Y0reBaVUqF7uVCo27V3cYUgRSVv2fLH9UFPqjjfylejVKHdasf+olH4hqoiZ2ZdE40+751VWRERE5Lco6G79oqDktBC4e7Nc1h1WhKGIiIjIfk3JqYiIiIgkiEIac1qolJyKiIiIlFpqORURERGRBKExpyIiIiKSMIyS95PPSk5FRERESqnf/gOXRU/JqYiIiEippeRURERERBKExpyKiIiISALRV0mJiIiISIJQy6mIiIiIJAzdECUiIiIiCUTJqYiIiIgkCNOYUxERERFJHGo5FREREZEEoTGnIiIiIpJAlJyKiIiISILQmFMRERERSSBqORURERGRBKEv4RcRERGRhFESb4gqeQMRRERERCROSfmc8mZmh5jZdDNbZGYzzax1NmW6mNkMM1toZgvM7A6LM1NWcioiIiJSShlJ+ZriNBJ4zN1bAPcAT2RTZgPQ291bA8cAvwd6x1O5klMRERGRUsrM8jXFUV9d4CjgubBoPNDczJrFlnP3Oe6+OMxvA+YCB8YTs5JTERERkVIrf936ZjbAzJbHTAOyVNgEWOnuuwDc3YFlQNOcIjCz+kBP4PV4ItYNUSIiIiKlVH7v1nf3YcCwvIrttZuc9m9WDXgVuMfdZ8cTg0UJr0jiMrMB4cUi+wFd7/2Lrvf+Rde75Avd+t8Ctd19V7jJaRVwnLsvyVK2KjAFeMPd/x3vPtStLyVB1i4FKd10vfcvut77F13vEs7d1wBzgD5hUQ9gSTaJaRXgTWBKfhJTUHIqIiIiIvnTD+hnZouAm4HLAcxslJmdFcr0B34HnGtmc8M0MJ7K1a0vCc/Mlrt74+KOQ4qGrvf+Rdd7/6LrLfFQy6mUBBqftH/R9d6/6HrvX3S9JU9qORURERGRhKGWUxERERFJGEpORURERCRhKDmVvZhZMzO7Mo8yx5jZmALYl4evmyhSZjbazK4p6v0WBzM728y+CndKtt2H7duZ2fmFFFuxXAcz62Rms4p6vyKFzcxuM7NycZRbYmZtCnC/75nZGQVVXz72e6mZvVTU+5XCpeRUstMMyDE5NbMy7j7L3S8qupDkN7gKGOTu7dz9i33Yvh2wT8mpmelX6GSf6fmzTwYDeSanIolMyel+zswqmtmLZrbQzOaZ2VvAo0Dr0NI2KZRbYmYDzWwa8HRsy1NoaV1rZkPN7HMz+87M/hCzjx5m9rWZzTGzW7NpLb3BzD42s0Vm1jtmu+fMbJaZzTez18KvUmBmh4Ty88zsCzO7PSwva2Z3mdnMEPsLZlYjrGtkZlNDXROBOjmcj4xjuc/MZpjZl2bWJax7xMxuiSnb0sx+TOR/oGb2EHAScLeZTTezY83s3XBeZ5tZj1CujJlNCcu/NLMxZlYpnPOhQLdwTh8N5TNdw3DOmoX5rM+VHK9LcES4Nl+HltTyoZ4LwzWYE7b7Q1ieZGYPh/LzwnOuQlh3qpl9FJbNMLOOMTHeHp6b7wM5tvCEFqAHwt9vzexeixxrUQu0xZT9xMxO+00XqZiZ2fFm9mE4l/Mtamk/Jhzb/HDdTghlM14ft4fr8nUo+1hM2Yah7KVm9raZjQ/X730zaxrWtQ37nG3Re0/s62q0mT1kZm8C88Kyi8P1nB3qybbFLzz37jSzD8K1HhCW9zKzKTHlks1sqZm1LrQTWwwyXp/A9HDO65nZyxa9Ty6wHHrEzOza8LpJMbP6ZjYuXMv5ZjY0ptwSMxts0XvJD2Z2a5aqumV93YTtBpjZZ+E5M9PM2ofl2f3/ydhXttfczMqZ2UiL/l9MA9rncj726+dDiebumvbjCTgXeCvmcS2gEzArS7klwEh+/YaHPWWIWlodODs87g58E+brAuuAQ8Ljv4eyVcJjBwaH+QOBtUCT8LhOzP5vBh4O8w8C/4yNOfz9J3BrzPJ/AQ+G+fFZ9rMJuCab85FxLH3D4+OA1UBloAXwA5Ac1v0f8K/ivoZxXOP3iJKxGsBsoEHG+QWWAvWJfhe5dlhuwH+BG8LjS4GXstS55xqGx2uBZjk8V3K7LqOB+UAVIBmYBNwU1tWOqaMZsBIoCxwJfAUkhXXViT5oHwhMB6qF5QcDK8I2Z2azn1m5nK+3wnaVgFnA+WHdx0C3MH8U0U/4WXFf49/w3KgVnt8dwuMkotfsMuDUsOxEop8mrBzz+jg9rLsRSAXahccjgP/EPG/SgJbh8U3A62G+KlA+zFck+rWZY2KeE7P59T3iBGByTPmTgHk5HM8S4Mksz+/24Zov4df3oR7A1OI+/4V0TWPfX18E7gzzdYEfgd/FnKvDgeFE748Vw/IpQMcwX4boF37OjdlmeJhPATYCjeJ43aTExHccsCDM7/X/J69rDvwtm/28lMO52O+fDyV1UsupzAMONbMRZnYBsDOXsk95eCVnY4u7TwzznwAHhfnjgNnu/m1GHdlsOwrA3RcDHxG9EQFcZFFL3hfAFUTdywAfAFeY2R1mdgrRP0eAc4A+ocVgLtCbKGEB6JxlP1NzOc4dwLOh7KdE/7yPcPdFREnRGRa1Gv4ReCyXehJNB6Lz8UY4P+8QJaItw9/rzGwOURJ3Or+e730R+1w5h5yvC8CL7r7Z3dOBJ4FuYXnzEOsC4BWify4HAIuJ/jE9aWZ9gbLuvpvoQ9HBwAdhPxnj0JoQXf+s+8nN0+6+0923As/FxPQgcHWY/xswIpfXRElwPLDQ3acDhPNYD9jh7lPCso+ANUSJDMBmd58c5mcDy919bnj8OZmv7Ufu/k2YfwzoHFrTKgKjwmv7U6Lr2i5mu3HuvjnMnw0cAcwI1/X/gBTLeVzlEyHutcDLQNdwzUcAfw1lrgEezv3UlArdgEdgz09OTgC6xqx/EqgA9HL3NDOrDHQBHgrnehbRa+rQmG3GhPp+JnotNo9Zl9Pr5sjQ+rmAX3vmypHz/5/crnnnbPaTGz0fSqCE7Y6UouHui0NXRheiN5J7iFo3s7M5h+UA22Lm04k+mUKU9OT3n7eb2YlEbxgd3P1ni34ObVCIebyZTQdODmX+Dvwh7Ouv7v5uPvcXV0zh74PA9UBjok/8PxXCvgqLAfPdveNeK8z6AL8najHZZGbXAnuVixF7jSH6Bxcr9rmS3+uSca5fIGq9fSXEuB6o4O4bzeywEG9n4E6Luu8NeNPdL8nm+CzrsnzKiGkC0RCJI4laY6/7jfUmopxesxnLtscsS2fv1348/1f+A/wEHOnuu8xsApmfQ1mfP0+6+6A46s1ORtyPAwvM7HmiBHrSPtZX0mS9lrGP3yN6H61L9CE8Kaw/1t1zaqjIz/X2kFCOBzq5++dmVo2oxbVcdv9/zKwduVzzAnwt76/PhxJBLaf7OTNrDLi7TwJuIHpTWEfUVVoQPgWONrODw+O+2ZT5U4ilGVEX4kdATeAXYH14c+sXE/MhwBp3f4aoq/C4sGoSMMDMKoVylUISA/Bulv3Eth5kVQ64KJT9HVG39/yw7i2ixPQWSt4n7enAIRbG0MKeO/HLEZ3vdSExrUrUJZvhF/Z+PnxPGOtlZucRdfnmJLfrAtDLzCqbWTJwGVGLLiGmJWGbPuExZpYCVHb3t4iGDCwBWhNdm+4WMx4xXD+IWsrPj9lP7PFl52KLxuFWBC7MiMnddxENWZgEjHf31DzqSXTTgVZm1gGi8bxESUp5+3WsdQei5GVfbqY7wcxahPkrgHdDS3NNohbXXWbWkihBysmrwCVm1iQjRjM7Jpfyl4VytYha7acCuPuGUNd44NHQelYabeLX1+s7hJtbw+vmXKL3wgyjgTuAd83sAHffBHxINIyKsF3D8H8iHtm9bioQ9XT8GMr8Labu7P7/NCH3az41m/3kZn9/PpRISk6lLdHg+flEXXTPEv3D+saiAfS/6dNkaFm8CpgcWjsrE3XdbI0ptt3MPiZKLv7m7j8CbwDfAV8TjYGaG1O+FzA/dEG/EOoHuCuUmxGO51N+7SrsD3QKy+/j1wQIM7vKYgb9EyXnB5vZDKJhCBe6+5ZwPE7UTfSTu3+yj6elWIQ34zOBf1l088FConOWBDwDVAnLJhD9g8owFagctsm44eLvwCPhuh1FdM5yktt1gWiYxivAl8AGoi48iK7Zy2b2EVEX37KwvAnwdqjrC2AB8EYYOtKHqLt4npl9FerA3V8DXiPqRnyXXz9sZPzznZsl5tlEz5H5wPv8OkQAouvfiJL34WQv4TlxLnBvOJ9ziD7s9QDuCMseIOr23bIPu3gfuC2c3zP5tRv1dqKhOZ+F+Rxb1d39A6IPIRPNbB7R9b4A9nyl3etZNllqZh8CM4GH3H1mzLrHicZKjtqHYykp7idKNucC1wKHh+s4Dbgjy/nA3ccRjR1+K3yQuIjoA8sXYdjFeKLx3/HY63Xj7r8Q9XrNNLMPyNzyvtf/H3efn9s1JxoesgxYSDQudc97lZ4PpYd+vlQKnZlVDZ/IMbPLgMvd/cRiDitboVV1lrtnezd/KDMZeMHdny2ywKTImNl7wH0hoc1u/flAP3fPrfV9v2dmlwJnuHvPItznkrDPBTmsv4noBq3LiyomKT56PpRcGnMqReFaM+tF9HxbD/y5mOPZJ6Fb6UWiT/FjizkcKQYWfb1RC6LWRilBzOxLovGG3Ys7Fil+ej4kNrWcioiIiEjC0JhTEREREUkYSk5FREREJGEoORURERGRhKHkVEREREQShpJTEREREUkYSk5FREREJGEoORURERGRhPH/7VVlJhBi/IcAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 800x320 with 2 Axes>"
       ]
@@ -247,8 +307,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "filename1 = '../Notebooks/samples/tokenbased_old.py'\n",
-    "filename2 = '../../src/codeplag/algorithms/tokenbased.py'\n",
+    "filename1 = Path(\"/usr/src/codeplag/src/codeplag/algorithms/stringbased.py\")\n",
+    "filename2 = Path(\"/usr/src/codeplag/src/codeplag/algorithms/tokenbased.py\")\n",
     "tree1 = get_ast_from_filename(filename1)\n",
     "tree2 = get_ast_from_filename(filename2)\n",
     "features1 = get_features_from_ast(tree1, filename1)\n",
@@ -273,9 +333,18 @@
     },
     {
      "data": {
-      "image/png": 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SkhIY+ojjkfvI0Dc5rm9HevftRG5OHucOGEFeXgHZ23I47fj7OWVAd/55+5lkb8vhhqvGIDGCFikXXdqXXn06VlhHgBEjbmLw4Cd5/vl3SU6qwaOjbgHggfufpl+/7vQ7/ihycnZycv8byMvLJzt7B717XcUZZ/bhzjuv2OOxivKPwecxZsQE3n11CjWSErh1qPM9PfXI2xzVqwNH9TqMSRO+44/fV5Gbk8eP0+YD0PP4zlx49Qkc3acjSxeu5vYr/kt8fBwJidW46+FLKn1vysUnBjIU4owkhlFR5GycHt9O4CscB5xmOHObY3AMVyxOj3Cgqq51nV1qq2qme41NwJGqukJEWlbgvMNx5giLgOU4PeRpqjpGRFoA7+P02N5X1YdE5ATgYaAGjnGfraoD9/C7peEM4zbCGWrcCvyhqsPFcQgKnjP9p/s7XCkiVwJnqepZ7rHhwCU4hvxznDnbg91jVwEPApvdtv6lquIe6wr8x72X8TjJUM9S1eBeXbDePWmKB54B+gEZwK9AY1U9S0T6AGPcHmXgWpe69yoTx+CeB5ypqnNcB6IxqvqhW/dX4C5V/cbdXwZc5H4vL7raY3HS7fzDHR7eE+qXxM+WhLpsLAl12VgS6rJpU2tApS1f617PhzRMS78d5Lk1rYjRrKmq29zPZwGjVPXQ/agtqhGRw3Dm/w72oO2aqrrNNaBvAr+p6mOR1hEGZjTLwIxmaMxolk2VMpp9XwxtNKdd57nRrMiA9M0iciFOTyILp0dl+JOvRaQ6ztzk98BTHusxDMMIHx8Pz4ZtNFX1UZzh2ahERE4ltP5Rqvr2vm5PVRfgeJZWCnde87UQh8aq6h6jEKnqUZVt1zAMw3NiqoDRjHZU9TN2X7PoW1R1DmUvqzEMw6i6+Lin6fsweoZhGMaBhcbGhNzCRZyIczPcyGi/iEiHEHViRGS0OFHV5onItFBL5UpjRtMwDMPwF3ExobfweR54QVXbAI8ReqrrDKAn0FlVOwFTCGMK0oymYRiG4S9iJPQWBm7Y1yOBN9yi94BmIXqRihPVLkFEBCdU6Jryrn/AzGkahmEYUcLezWk2A9aragGAG1d7FU4o1eCAKx/jxNVOx4kXvhYnMMsesZ6mYRiG4S/K6GmWjl8dyLRUSY7ECf/ZBCcBxRTgufJOsp6mYRiG4SvKcvpR1dFAeZkeVgONRCTODb0qOL3M0ql8LgemBkWeGwt8WZ4262kahmEY/mIvArar6t/ALJwY6QDnAmtUtXQs7D+BfiISyEg+AFhQ3vXDDqNnGPsB++MzjKpLpScmW17xdshnw/KxF4Z1TTexx2s48byzgKtUdb6IvARMUtVJbtS0Z4BjgXycuc0bVPXPPV3bhmcNT9mWP8VrCQDUjD/eN1rA0bO9YHr5FSNAUlxv7vipvEx1kWH0Uf1o2P5er2UUk77wMVZlf+y1DACaJ5/OeVO/Lb9ihJjYr1flT67Y8pLdcLNxHR2i/NqgzzuB6yosba+UGYZhGMY+RvfSaO5PzGgahmEY/iLOv2H0zGgahmEY/qICIfMijRlNwzAMw1eojwO2m9E0DMMw/IX1NA3DMAwjTKynaRiGYRjhYd6zhmEYhhEu1tM0jIqxauXfDB8ylszM7SQnJzBs5OW0bNW4RJ11azcz/P5xLFm8miZN6vLWe0OKjxUVFfHUEx8w44eFFBYW0bnLIQweejHx8RX/k/eTFkfPBoYOeZXMjGySkxMZ8ehVIfRsYtj9r7Fk0SoaN6nLhPeHltDz339PZMb3vxMbF0NqrSQeGHE5zQ+qX2Et29P/Zs4LY8nflk1cjUQ6X3c5NZs2DllXVfnpX2PYunI1/Z9zwodunLeQxe98UFxnZ9Y2qtdK4biHh4S8xp5ocVAdnnr0QtJq12Dbtlxuvf9dlizbUKKOiDD0rlPpe2wbYmNj+GX2Su596APy8wtL1Hty5PlcePaRtDlqGFnbciusBWDNqo38e9gEtmZuJyk5gbuHX8TBLRuWqDP756W8/Mxn5OzYiYhw1LGHcs3NpxITE0P6ui1cceYoDm7VqLj+sMcvp3GzuhXWsvPvDawZ+yoF2duITUyk6eVXkdC4SYk62X8sYcUzT1K9QYPispZ3DyamWjWyFy8i/cP3Kdq5EwRqHtaJhmedg8Tspx6hj+c0/assQojIcBEZs5+u/ZKI9A2j3jciclaI8j4iMmd/aNsfiMggEVksInNEpM7eXOvREW9x9vnH8v6nw7n8mpMYcf+43eokJSdw0y2nM/Kxq3Y79tH7M1i8aDVvvjuYiZOGEhMTw/jXp0W9FoBHhr/BOef14sPPHuHKa05m2JBXd9eTlMhNN5/JyMev3e3Y9GlzmTt7GRPef5B3PhhG9x6H8uyTH+xWLxzmv/omzfseS59/j6DlaScx98Xd702Av76YQo369UqU1evUnuMeub94q3VQM5oc071SWv497BzeePcnep76H555eTpPjjx/tzoDz+1Gx0Mbc+J5T3HcgCcoKlKuu6xniTqnntCB/IKiSmkI5smREzn17B689sF9XHhFX/49fMJudWqm1OD+Ry/l5Yn38L83buP3uSv46pPfio8n1qjO8+PvKN4qYzAB1r75OmnHHkfbESOpd9IprBm3+98MQPUGDWh9/7DiLaaaE5Y1NimJ5tdcT5thD9Fq8IPs+HM5mT/9WCkt4aDxMSE3P+APFVUUVb1WVSv/dNwHiEgkRxNuw4nx2EVVN1f2Ils2b2PR76s4ZYDz8Dz+xMPZkJ7J6lV/l6hXq1YSXbq2IiGx+m7X+GPJWrr3aEd8fBwiwjHHtuezj3+Kai2OniwW/b6SU08/ytFzUlc2pGewamUpPalJHH5EaxJD6BER8vIKyMsrQFXJzs6hfoPaFdayMyuLrX+tKjZyDbsdTu6WDLZv+Hu3utvWrGPDrLm0HNC/zOvlZmSyaeESmvSsuNGsm5ZE58OaMvHj2QB88uV8GjdK5eDmJd/dOrRtxLczlxX3LKd+t5jzTu+66zp1krn1+n4Me2zvQuNlbNnGH4vWcMKpzrWPO74TGzdsZe3qTSXqtWrXhEZNHY3VqsfTsm1jNqzfsldtl6YgK4ucVStJ7d4DgJTDu5KfkcHOv3f/nsoisVlzqtVzXnhi4uNJaNqMvM2V/hcvn9iY0JsP8IeKfYSI3C8izwTtJ4vIFhE5TkS+F5FZIrJQRB4o4/wrReTDoP0BIvJN0P5lIvKTe51vRaRzOXqKe5AiMtA9d7aIzBWR08s451z3eMtS5Ski8qWIDHX33xSRX0Vknoh8KiIN3fKDRSRTRB4TkVnAP/eg71ARmexeY56I3OCWtxKRr92yOcG9YBHpJiJT3bZni8j5bvlEoCXwmvu50mxIz6BOvRTi4mIDbdKgUW3S12eEfY1D2zfn22/mkZ2dQ0F+IV9NnsX6dRV/GPlJC0B6egZ169UqoadhozTSK/Cg7dWnE0d0a8uJve/ipN538/NPi7nxn2dUWEvu5gyqp6YQE7tLS0Kd2uRsLqmlqKCQea+8yWFXDtzjcN6a736kfucOVE9JqbCWxg1T2bBxG4WFu3qIa9dl0qRRaol68xaupX/f9iQnVScuLoYzTu5Msya7XhieGHEuDz3xGdt35FVYQzAbN2wlrW4KsUHfU/2Gqfy9h7+bLZuy+G7KfI46rn1xWW5OHv+4bAw3Dvwvr7/wZYnfL1zyMzKIS6mFBH1P8bXTyN+yu9HL27iRpY8+zLJ/PcLm6aHf9/O3biVr9m/U7NipwlrCZi+ynOxvqtqc5jjgNxG50w3Gez4wDZgDHK+qO0UkEZghIl+r6sxwLywiPYGLgV7udY4D3gI6hHmJycB4N4v4wcBMETnI1Rlo4w7gbKCfqm4WkWZueTPgQ+BJVQ2Mf92mqhvd4/cBw4Eb3GO1gN9VtczI1m4P9CNgmKqOd8sCYz9vAq+o6vMi0trVOhvYCrwAnKqq6936s0RkhqqeJyIrgAtVdU6Y92S/cfpZPVi/bjPXX/lfEqrH0/3odvw0Y9EBrwVg4YKVLF+2lslTHycpOYGnRr/PyIfeZORj1+yX9pZ++AkNj+xCzSaN2LExdO9EVVn97Y90uOyC/aIhwIQPfqVp41Q+GDeI3NwCvvtxKb17tgacodu16zP54afl+1VDKLZn5/Lg7a9wweV9aNu+GQBpdVMY/8WD1E6rSdbWHYwc/DoT35jOhVeUO+NTKRKbNafdqMeJTaxBfsYWVjz7FLHJyaQe0a24TmFODiv/72nqntifGgcdvF90QNn5NP1AlTKaqrrafbifAbwLXAn8G0gE/iciXYAioBnQBQjbaAJnAp2Bn5ycpgCkiUiiquaEcX4L4E0RaQoUAGlu2WL3+APABuBEVQ32PGgAfAtcq6rBaTgGishlQIK7BY/75ANvlKOnLZAQMJgAqrpJRGoCXYGebtlSEfkeOA7YAhwCfB50DwLXWltOe4GXguJM60888QTX3bx7Z71Bw9ps3phFQUEhcXGxqCob1mfQsFH4Q4giwqB/DGDQPwYAMPmzXzkkyKEiXPykBaBhw9ps2ri1hJ709Vto2Cgt7Gt8MulHuh3VjpopNQA4/axjuOm6MRXWklCnNjszsygqLCQm1tGSuzmDxDoltWxevJTczRms/PobtLCIgpxcpt5xPz2H30f1lJoAbFm8lKL8fOp1bB+qqXJZl55Jg3o1iY2NKe6NNWmcytr1mbvV/c+zX/OfZ78G4MxTOhc7C/U8qiU9jmjBiX3aFded+uHtXPnPsSxYtK5Ceuo1qMWWTVkUFhQS635Pf6dnUj/E382O7bkMuflFjul9GOdd2ru4vFq1OKqlOfcnpVYN+p/RnWlfzKqw0YyvXZuCrK1oYSHifk/5GVuITys5dB2bmBh0Thq1juzOjmVLi41mYW4uK555kpROXah3wkkV0lBhfNKrDIV/zXnleQW4SkQOAVoBXwCP4hiVw1W1M/ANjqEpTQEQG7QfXEeAse58XWBrFKbBBJgAvKSqh6lqFyC71PV/AtrgGKVgMnESow5wM5AjIscCt+D0+A7DMUTB19qhqnvvybCLQG47wenBBt+D5qoaVt4oVR2tqk0D2x133BGyXlqdmrQ9tBmff/IzAFO+mk39Bqk0ax6+d+fOnflkbd0BQGZGNmNf/pLLrz4x7PP9qMXRk0K79s2L50SnfDmL+g1rV8jztWnTevzy02Ly8woA+O6bebt534ZD9ZQUUg5uxtoZzr1J/2U2CbVTSWpQUssxD9xFv/+OpN/okRz9wF3EJSbQb/TIYoMJsHr6DzQ9rkelvTE3bdnO/IVrOe/0wwEYcFJH1qdvZcWqkj3b6tXiqJXiGIe01BrcfF0fnn3ZScH2j3smcMTxo+h24mN0O/ExAPqd9d8KG0yA2mk1adWuCV9/NguA76bMo279WjQp5ciTs2Mng29+iSOPbssl155Q4ljGlm0UuHOveXkFfD91Pi3blvR4DYe4lBQSmzUn82enj5A1exbxqbWpXr/k95S/NRMtch4bhbm5bJs/j4RmzYv3Vzw9huT2Hah/6oAKa6gosbGhNz9QpXqaLh/iJBYdDLyhqgUiUhtY5H5uC5yI03srzTKgkzuEmw8MDDo2Caen+JyqrhKRGKCrqv4apq7awF8AInKpux/MVziG9WMROV9VZ7nlO4FzcHqOL4rI9e6524DN4mQdHxSmhmCWADtE5OLg4Vm3tzkLuMptrxVOktZb3DZbiMgJqvq1e04XYKGq7t0kUCmGDBvIiAfG8eqLk0lKSmDYI5cB8PDQN+jVtxO9+3YiNyePcwYMJy+vgOxtOZx6/BBOHdCdf95+Ftnbchh01X+JiYmhqKiIiy7tS68+lZuD8ZMWgPuHXcqw+1/jlRc/Iyk5keGPXAHAQ0PH0btPJ3r360JOzk7OPu3BYj0n97uH007vwc23n8MFA/vw15/rufDch4iLi6Vu3RSGDL20nFZD0/Gqgcx9YRzLJ31BXGICna67HIB5L79Og8M70aDrHqf9AcjfkUP6r3Po9WhIV4OwuXv4+zz56AXccn1fsrN3cuv97wLwxEPnMnnaQr6ctoiaNRN4/7VBqCoiwktvfM9X3+yfofLbhpzHv4e/zfhXp1AjKYG7h13o6nmHo3t34JjeHXh//HcsWbCK3Jw8vp+2AIBeJ3TikmtOYMGcFYx77gtiYpzec5durRh4zQl7arJMmgy8jNXjXuXvLz4jNiGRppdfCcCa18eS0qkzKZ27sHX2LLZ8+w0SE4sWFVKr65HUPtrxLN48bQo7VqygKG8nWXOcR1OtrkdS/5TT9vIuhSYmxr89TVENmSA7qhGRZ4GbgENVdbGIHA68jjM0uxynhz1NVceIyHAgVVVvc8/9P+AkYD3wA3CUqvZxj10E3I3zslEN+FRV79qDjm+A/6rqR66hfBin5zgVOA84U1XnuPXGqOqHItINeBu4DIh3y7uISCzwEk6P8nIcI3oEsBn4GjjNrXcwMEdVU8O4T22Bp4FG7r35nzuP2Qp4DqiH08scrqofuud0Bf6DkxE9HlgFnKWque6c5lkVmNNUvyR+tiTUZWNJqMvGklCXzcR+vSpt+Vo//21Iw7R0UOWvua+oij1NVPUfwD+C9mcDh5VRd3ip/Rv3cN0JOL3BcKmHO9eoqm9Qcp7xzqDr9gn6/Aslh2i7uOWFOL2/ABeWaut+t94KIDUccW52890mJ1R1GRDyldbtAfcr49jB4bRrGIaxJ+J8bJmq4pymLxCRJcBSKuZsZBiGccATExN6CxcRaS0iM0TkDxH5RURCrnIQkY7u0sBF7nZOedf2sT2PDkTkWkKvhbxWVb+LtJ7SuOs6Q/0hnKuqkfetNwzDKIeYvfeefR54QVVfE5HzgNeAbsEVRKQGzrK7y1X1e3cKrFw3dDOae4mqvoQz1+hLVPUh4CGvdRiGYYTL3oS0FZH6wJHsmnp6D3hGRFq5U08BBgIzVfV7KJ4C21iutspLMwzDMIx9z15G0WsGrFfVAgB1vF1XAc1L1WsP7BSRT9zIZ+NEpB7lYEbTMAzD8BVlzWmKyB0isiZoC73YOzzicBweBwGH4wRo+b9wTjIMwzAM31DWnKaqjgZGl3P6aqCRiMS5a/MFp5e5qlS9VThLD9cCiMgbOOFO96ytvAqGYRiGEUn2xntWVf8GZgGBiB3nAmtKzWcCvAN0E5FAhoBTgbnlXd96moZhGIav2AfrNAfhZFwaAmThrnEXkZeASao6yY3s9ihOAo8inOHZ68vVttfSDMMwDGMfsrdh9NzALUeHKL+21P7rONHiwsaMpmEYhuEr9mbJyf6mSsaeNaIG++MzjKpLpbuLx3/+Q8hnw5RTelrsWeNA5w+vBbi0wT9awF962pCd/43XIgBIju/DhpxJXssopkHiGaQccm35FSNA1p8v+eZ7Aue7qixxMf59nzajaRiGYfiKOM/7k2VjRtMwDMPwFdbTNAzDMIwwsZ6mYRiGYYRJrPU0DcMwDCM8qpnRNAzDMIzwsOFZwzAMwwgTcwQyDMMwjDCJEzOaRhQjIgrUVtXMSLW5YsU67rvvv2RkZJGcXIN//es2Wrc+qESdNWs2MHjwGBYu/JOmTRvw0UdPhXUsmrX4Tc+qlRsYNuQ1MjOzSU5OZPjIK2nZqnGJOuvWbmL4/WNZvHgVTZrUZfx7DxYfKyoqYsx/JjLj+4XExsZQKzWJB0dcRrPm9SusZfXKjTz64NtszdxOcnICgx+6kBatGpao89vPy3j+yc/IydmJIBx9XDsG3XoqMTExrFu7haF3jaOosIjCwiIOatGAu4eeS82UGpW6Ny0Prs9z/76aOmnJZG3L4Ya7X2Xx0nUl6ogID993Hif0Ooy4uBhm/raM2x98g/z8QgBuG3QyA885hrz8AnbuzOeeERP4bd5fFdbip+8pHOJ8HEbPx9KMA5mhQ5/lggv6M3ny81x33Xncd9+Y3eokJ9fg1lsv5Ykn7qrQsWjW4jc9I0e8ydnnH8cHnz7MFdf0Z/j9r+1WJyk5kRtvOZORj+0eOWf6tHnMmb2c8e89yNsfDKV7j3Y88+SHldLyn0fe44xzj+KtSfcy8Kq+jBr69m51aqYkMvyxS3j9/bt5cfytLJi7kskf/wZA3XopPPvqP3jlnTsY+95d1KmXwiv/91WltACMeeQyXp3wLV2Pf4D/Pv8Fz/37qt3qXH7BsXTu0JzjzniII098kKIi5cYrTwCg46HNuPbSvvQ9eyTHDniIF8ZN4z8jBlZKi5++p3CIEw25+QEzmkaFEJFDRWSyiMxztxvc8gdEZJGIzHG3g8q7Vlls3pzJggVLOeOMvgD0738M6embWLmy5Ft6ampNjjyyA4mJCbtdY0/HolWL3/Rs2ZzFot9XcuqAowA4/sSubEjPYPWqv0vUq1UricO7tiIxsdpu1xCB/LwC8vLyUVW2Z+fSoEFqhbVkbMlmycI1nHhaVwB6n9CRvzdksmbVphL12rRrQuOmdQCoXj2eVm0bs35dBgDVqsVRPSEegMLCInJz85BKOqTUrVOTwzsezNsfzgTgo89/o0mjNA45qGTPrOOhzfhmxqLinuVX0xdw0dlOcg5VJT4ulho1qgNQKyWRtekZFdbip+8pXOIk9OYHbHjWCBsRiQM+Aoap6ni3rK6I1AbuAhqpao6I1ACKKtvO+vWbqFcvjbi42EC7NGpUj3XrNnLQQY3LOXvf4ictftOzIT2DuvVqldDSsFEa69dvCXvYrlefTvz68xJO6nM3STUSqNcglRdfu7PCWv5Oz6RO3ZQSWuo3rM2G9EyaNq8b8pzNm7KY/vU8/vXU1cVl+fkFDLrkKdLXZ9KyTSNGjbmywloAmjZKY8PGrRQW7vo3WLNuC00bp/Hnyl3GavaClVx9cS9eGDeVnNx8zjn1SJo3cYz6gsVrePaVr5g/fRQZmdvJyyvg5Iser7AWP31P4eLndZrW0zQqQlsgIWAwAVR1E06S16XAGyIyCEhT1VyPNBpRxMLfV7J82Tq+mPIYX0x7jO5HtePREW/u93a3Z+cy+JZXufjKPrTr0Ky4PD4+jlfeuYOPpg6l+cH1mDRx5n7V8ebEH/j629/5bPw9fD7+bpb9taHY0B7UtC5n9O9Kl75DOLTnPTz7yle89vSg/aqnLCL9PVWL0ZCbHzCjaew1qloI9ADGAPWBmSJyXOl6InKHiKwJbKNHjw55vUaN6rJx4xYKCgoD12f9+o00blxvv/0OZeEnLX7T06BhbTZt3FpCS/r6LTRqlBb2NT6dNJNu3dtSM6UGMTExDDjzaH79peLZXeo3TGXzpqwSWv5Oz6BBw9Td6u7YnstdN71Ez74duPCy3iGvFx8fx6lndmPyp7MqrAVgzfotNKhXi9jYXY/Ypo3TWLNuy251Rz05ieNOf4gTz/8Xi5etY9HStQCccXJXfl+yhvS/twLwxsQfOPrI1sTHx1ZIi5++p3CJiwm9+QGfyDCihCXADhG5OFDgDs/WBBqo6neq+jDwPXB46ZNVdbSqNg1sd9xxR8hG6tRJpUOHlkyaNA2AyZNn0KBBXU+GQ/2kxW960uqk0O7Q5nz2yU8ATPlqFvUbpFbIo7JJ07r88vMS8vMLAPhu+rzdvDrDoXZaMm3aNeEr18hN/3o+9Rqk7jY0u2PHTu666SWO6tmWK647ocSx9HUZ5ObkAY636LSv5tGydaMKawHYtHkbc39fxYVn9QDgzFOOYG16RomhWYDq1eJIdb1z02onc/sNpzDm+ckArFi9iR5HtCLJndM8uV9nlv6ZXjz/GS5++p7CJV405OYHLAm1US7BS05EpC3wNNAIZ97yf8CnwEQgCSex9FLgalXdWs6ltayckX/+uYbBg8eQmbmNpKQajBp1K23bHsz99z9Fv35HcfzxR5GTk0v//jeQl5dPdvYO0tJqceaZfbnzziv2eCw0ZeevjLwWv+kpO5/mir/SGf7Aa2zN3E5SUgLDHrmS1m2a8NDQcfTu25nefTuTk5PHOQMeJC+vgOxtOaTVqcmpA3pw8+1nk5eXz2MjJzBn1jLi4mKpUzeFIUMvoWmz0D3nPeXTXLXib0YNfZutmTtISk7gvhEX0LJ1Ix4b8S49e7fn2D4dGPfiFF59/ktaHNKg+Lw+J3bm8uuO54fpC3nxmc8B0CKlzaFN+OddZ1ArNamM+7LnfJqtWjTguX9fTVrtJLKyc7npnldZuGQtT4+6gs++nsPnU+ZSr24Kn711N0VFRcTExPB/r33NK29NL77GsLvP4fSTDmdnXgE7duzk7hHjmbNgZcj29pRPM9LfE0ByfJ9Ku+48Pu+rkIbpnk4nhnVNEWkNjAXqAluBK1X19zLqCjAF6KqqqeVe24ym4SFlGs3I46ekz+AvPZaEuiwsCXXZ7I3R/O+C0Ebz9sPCNppTgXGq+pqInAfcq6rdyqh7B3AocH44RtOGZw3DMAxfERejIbdwEJH6wJHAG27Re0AzEWkVom4H4CzgX+FqM6NpGIZh+Ip4Cb2FSTNgvaoWAKgznLoKaB5cSUTigReBQUDYE8VmNA3DMAxfER+jIbfSHvju0GplGQa8r6qLKnKSBTcwDMMwfEVZy0tUdTQQeq3aLlYDjUQkTlULXEef5ji9zWB6A81F5J84tjBFRFYA3VR1Y5nawvoNDMMwDCNCVN+LQAaq+reIzAIuBV4DzgXWqOqyUvWK15KLyMHAHFU9uLzr2/CsYRiG4Sv2QXCDQcAgEfkDuA+4CkBEXhKRM/ZK296cbBiGYRj7mvi9DJmnqkuAo0OUh1wfpKorgNRwrm1G0zAMw/AVfgmZFwozmoZhGIav2Nue5v7EjKZhGIbhK/ySOzMUZjQNwzAMX2E9TcMwDMMIEz/PaVrAdsNL7I/PMKoulR5k/WXjpyGfDd3qneb5wK31NA1PWZ71sdcSAGiZcrpvtICjJ90n2TwaJp5B6+e/9VoGAEsH9eKiaf7QAjChby+y86d6LQOA5Ph+NDj0bq9lFLNh0b8rfW6s56axbMxoGoZhGL4ixicJp0NhRtMwDMPwFTHW0zQMwzCM8LDhWcMwDMMIE+tpGoZhGEaYWE/TMAzDMMLEHIEMwzAMI0wsjJ5hGIZhhInNafoYEVGgtqpm7qPrXQmcpapn7YvrVbDtX4G7VPWbCLb5Mk7euiWqenbp/cped+2qjYwePoGtW7eTlJTAHcMu4qCWDUvUmfPLUl575jNycnYiCN2OPZSr/nkqMTEx/PbjEl59+tPiupkZ2dSuU5On37g9qrUArFm5kUcffJutmdtJSk5g8EMX0qJVST2zfl7G80/u0tPjuHYMutXRE8yoByfwxce/8cm3D1EzJbHCWg5KSeDxvm2pnRDPtrxC7v1mCcsyduxWr01aDYb2bEXdxGoAjP7lL778a3OJOuMGdKJD3WSOeG1GhXUEyN2wgVVjX6UgexuxiYk0v+IqEhs3KVFn25IlLH/mSRIaNNil757BxFSrxs5Nm1g19lV2rF5N9bp1aPfAsEprWbXyb4YNGUtmZjbJyYkMH3k5LVs1LlFn3drNDL9/LIsXr6ZJk7qMf+/+4mNFRUWM+c/7zPj+d2JjY6mVmsSDIy6hWfP6FdbS4qC6PD3qQtJqJ5G1LZdbh7zNkmUbStQREYbedRr9jmtLbGwMv8xewT0j3ic/v5BmjWvz05f3seiP9OL6V986jpWrN5duap9gRtOokohIA+AiIEVVC0vv7821nx41kZPP7sGJp3fj+ylzGT1iAk+Ou61EnZopNbh35KU0alqHvJ35DPnH80z59DdOPL0bRxzdliOObltcd9jtL9P5iJZRrwXgP4+8x+nnHsUpZ3bjm6/mMWro27zw1q0l6iSnJDLssUto3LQOO3fmc+egF5j88W+ccma34jrfTplPbFxspXUAPNyrDW8vSuf9PzZwcou6PNanLed+MLtEnYS4GJ7r34G7py3ht/QsYgRSq8eXqHNVxyasysqhQ93kvdKz+q3XqXPscdQ5picZv/3GqrGv0nbwA7vVS2jQIKRBjE1MpNGZZ1GYk8P6jz7YKy0jR7zJ2ecfyxlnHc3XX85i+P3jeP3t+0rUSUpO4MZbziB7Ww7/e6pkBKjp0+YxZ/Zyxr/3APHxsbz0/Gc88+RHPPbEdRXW8p/h5/L6Oz/x9oe/MuCkjjz56IWcfMFTJepccl43OrVvwgnnjiE/v5AnHjqP6y47lv+9Mh2A7O07Of6c/1a47crgZ0cgH4fFjTwicqiITBaRee52g1v+gIgsEpE57nZQOZdKEZFJIrJQRL4VkYPd63QUke9FZJZ7rPi/WUROd9ucIyILRORMt7yhiLwjIj+LyHwReSTonGOC6r9KGC9BInKaiPwiInPdc49yy/u7uuaJyHQRaR90zmUi8pN7/FsR6SwiqcA0IAH4TUTuC7FfKTK3bGPpojX0O6UrAD37dWLThq2sW72pRL2WbZvQqGkdAKpVj+eQNo3ZsH7LbtfbvHErc39ZSr9Tj4hqLQAZW7JZsnANJ57m6Ol9Qkc2bshkzaqSetq0a0JjV0/16vG0atuY9HUZxce3bN7GGy9P5Z93nV4pHQBpCfF0rJfMR0udHssXf22iUXJ1mqcklKh3eqv6zNmwjd/SswAoUtiSm198vFXtGpzYoi4vzFldaS0A+VlZ7Fi5krSjegCQ2rUreRkZ7Pz777CvEZeURHKr1sRUq75XWrZszmLR76s4dUB3AI4/8XA2pGewelVJLbVqJXF411YkJu7enoiQn1dAXl4+qsr27FwaNKhdYS1105LofFhTJn48C4BPvpxPk4apHNy8Tol67ds25tsfl5Kf77zvTvluMeefUbm/070lRjTk5gfMaLqISBzwEfCaqnZS1U7ARBGpDdwFdFXVLsAxwIayrwRAT+BeVW0PfAK84JavAI5X1a7AEcC5ItLDPfYIMMhtoxMw3S0fCzyrqt2Bw4EjReR8EakGvI0zHHsYMB7oXM7v2AZ4FbhMVTsD3YDFIlIfeAu4wv29X3B/dxGRnsDFQC9X9/3AW+5w9qnANlXtoqr/CrFfKTZu2EpanZTiXpCIUK9hKn+nZ5R5zpZNWfwwZT7dj22/27GvP/mVI485lNS0mlGtBeDv9Ezq1E0hLkhP/Ya1+Ts9s8xzNm/KYvrX8zi616HFZf9+aCI33HYaNZISyjyvPBolV+fvHXkUBj3L1mXn0ji55DVb1a5BXlERL5zcgUnnduXxvm1JS3B6mnExwsherXnw2z8oLNq7h2J+RgbxtWohsbvuTbXaaeRt2X0IcefGjSwe+TBLRj3Cxm+m7VW7odiQnkHdeiW/p4aNarM+xItUWfTq05EjurXmpD730r/Pffz802Ju+OeACmtp3DCVDRuzKCwsKi5buz6Dpo1SS9Sb9/sa+vdrT3JSdeLiYjjz5M40a7LLSNdIrMYX79zCV+/dyh03nUDMfhxDjZHQW7iISGsRmSEif7idhA4h6vRzOyMLReR3EXlcRMq1iWY0d9EWSFDV8YECVd0EZAFLgTdEZBCQpqq55Vxrhqoucj+/APQRkVggEXhJROYDM4GDgC5uvSnAkyJyD9BJVTNFJAk43i2fA/wKtHK1tgMKVPVrV+uXwJ/l6DoR+EJVF7vn5KvqVuAoYL6qznfL3wQaA02AM3GM8U+uhqeBNBGp+ATYfmJHdi4j7niFcy/vQ5v2zUocU1W+nPQz/c/sfsBpAdiencvgW17loiv70K6Do+eT93+iQcNUunZvFRENcSIc06Q2D367lDPem8WG7TsZcZzT9s1HHMSXf21meWZORLQA1GjenMP+9Tjt7n+QFjfcxKbvppPx6y8Raz9cFv6+iuXL1vHFlFF8MW0U3Y9qx6Mjxpd/YiWZ8MGvTP1uCR+Ou5EPx93I8hUbKShwDO2GjVl06fMwJ1/wFOdf/QI9jmjBjVf13m9aYiX0VgGeB15Q1TbAY8BrIepkABe5nZsjcDpEl5d3YTOa5eDOzfUAxgD1gZkiclwlL/cosAk43O3pfYMznImq3gFcBewAxrrGM/Bn0sPtvXVR1Vaq+sjul3bkVlLXnhBgbFD7XVS1kapW+CknIneIyJrANnr06JD16jWoxZbNWRQWOMNEqsrG9EzqN9x9aGrH9lwevOVFevQ+jHMu2f2feP6s5eTlFdC1R9vdjoWDn7QA1G+YyuZNWRQE6fk7PYP6DVND6rn7ppc4tm8HLrxsl57Zvyzn+29+58JTHuXCUx4F4OoLRvPH4rUV0rI+eyf1a1Qr8TBrnJzAuuyS75Trsncyc10mG3bkAfDR0r/pUj8FgG6NanHZYY2ZNrA7E87sQnK1WKYN7F7cE60I8bVrk791K1q4697kZWyhWlrJYcjYxERiE2sAUK12GrW7dSd72dIKt7cnGjSszaaNJb+n9PUZNGqUFvY1Pp00k27d21IzpQYxMTEMOLMHv/6ypMJa1qVn0qBeCrGxux73TRrVZs36zN3q/ufZrzjh3DEMGPgsfyzfwJJljuNPXn4hm7ZsByBzaw7j3/uFHke0qLCWcBFiQm5hneuMnB0JvOEWvQc0E5ESb4mqOltV/3Q/5wJzgIPLu74ZzV0sAXaIyMWBAhGpKyI1gQaq+p2qPgx8jzNMuieOFpF27udrgWmu8a0NrFHVAhFpi9PzC7TVTlV/V9VngP/DMZTZOPOE9wXVaywiTYHFQJyI9HXLTwDK8y6ZDPQPaBOReBGphdPr7Sgih7nlFwFr3W0ScKmINHePxYjIkeW0ExJVHa2qTQPbHXfcEbJealpNWrVtwtTPnTmYH6bOo06DWjRuVrdEvZwdO3nwlpc44ui2XHzNCaF/4Y9+5oQBR5Z4YFQEP2kBqJ2WTJt2TfjqU0fP9K/nU69BKk2bl9SzY8dO7r7pJbr3bMvl15XU8+CogUyc/ABvfz6Etz8fAsAr79xBm3YlvUzLY0tuPr9vyubM1o4X6skt6pK+fSerskoazc/+3EinejVJjneGKvs0T2Px5mwABk6aS5+3fqbvWz9z0UdzyM4rpO9bP5eY8wyX+JQUajRrzpafZgKQOWsW8am1qV6/pLdp/tZMtMjpQRXm5pI1bx41mjWvcHt7Iq1OCu0ObcZnn/wMwJSvZlO/QWqFPF+bNK3LLz8vIT+/AIDvps/fzfs2HDZt2c68hWs573RnHnzASR1ZtyGTFatKDltXrxZHLdeDOi21Bjdf249nX/4GcOZF49zM0NXiYzn1xMOYv6hiL1kVQSQ25BYmzYD1qloAoE7S6FVAmV+yiDQEzsOZTtsj5j3r4hqyM4GnRWQIUAT8D/gUZ34vCacntxRnnnFPzAAec99sNrOry/8I8LqIXAEsB4IT8T3qGtI8nN7mjW75JcBoEVngtr8dZ+5zjYhcCPzPHfr9BZhbzu+4TESuwhlqjgcKgRtU9WcRuQQY587tZgDnu39s37m93g/cY9Xce/JrOfdgr7h58HmMfuht3n5tCjWSErh96IUAjHnkHXoc14EevTvw0YTv+OP3VezMyWPGtAUAHHtCJy662jES27NzmDFtPv8bf1eV0QJw54PnMmro27zx8lSSkhO4d8QFADw+4l169m5Pzz4deO/N71n0+2pyc/L4bsp8APqc2JnLrjt+r9sP5sFvl/JY37bccHgzsvMLue8bpyc0sldrpqzczNSVW1ifvZP/m72Kt8/qQpEqG7bn8cC3+7ZnF6DZJZexcuyrbPjiM2ISEjnoiisBWPX6WGp16kytzl3InDWLTd9+AzGxUFRIatcjSTumJwBFeTtZOPQBtKCAwpwcFtx3N2lHHU3js8+psJYhwwYy/IFxvPriFyQlJTDsEecx8NDQ1+ndtxO9+3YmJyePcwYMIy+vgOxtOZxy/GBOHXAUN99+Fhdc3Ju//kznonNGEhcXS526KQwZenE5rYbm7mHv8dSoC7l1UD+2Zedy25B3ABj98HlMnrqQydMWklIzgffH3kCRKjEivPj693z5jTPL1P2IFtx7c38KC4uIjYvhh5nLGPPclEppCYcYCW2aROQOIPhte7Sqhh6yChMRSQE+Bh5X1XKfa+I8Fw3DE9QviZ8tCXXZWBLqsrEk1GWzYdG/K+0ptC1/SkjDVDP++HKv6Q7PLsPxPykQEQHWA8eq6rJSdWvijMB9todprxLY8KxhGIbhK4TYkFs4qOrfwCzgUrfoXJxpsdIGMxn4Asc5MiyDCTY8WyncN5kvQxz6SlU9f9UTkUnsPn6foap9vdBjGIZREcJY+VEeg4DX3Km2LBwnS0TkJWCSqk4CbgW6A0kiEhh/f1dVR+7pwmY0K4H7JtPFax1loapneK3BMAyjsoTbqywLVV2CE86zdPm1QZ9HAns0kKEwo2kYhmH4ipi972nuN8xoGoZhGL5ib3ua+xMzmoZhGIav2AdzmvsNM5qGYRiGrxAfmyb/KjMMwzAOSGxO0zAMwzDCxOY0DcMwDCNMbE7TMAzDMMLEzz1Niz1rRDUicsfeBmzel/hJj5+0gL/0+EkL+EuPn7T4ETOaRlQjImtUtanXOgL4SY+ftIC/9PhJC/hLj5+0+BH/DhwbhmEYhs8wo2kYhmEYYWJG04h2/Db34ic9ftIC/tLjJy3gLz1+0uI7bE7TMAzDMMLEepqGYRiGESZmNA3DMAwjTMxoGoZRpRGR2l5rMKoOZjSNqENEqgV9PkREBoiI5yFERKSWiBzmsYZO4ZR5gYf3Z4rb/jsetO1rROQ99+c9XmuJFsxoGtHIDyJSU0TqAN8Bg4FnvRAiIl+ISKqIJANzgU9E5CEvtLi8FmZZRPDJ/UkUkaOAjiLSUUQ6BW8R1lKMiDQLvACKSE8R+aeI1IywjLYiIsBFEW43ajGjaUQjcaq6DTgNGKuqPYGeHmlpoKqZwKnAR0Br4OxIixCR+q4BSCxlGI4DkiKtJwg/3J8xwKtAC2CSqyOwfRhhLcF8BMSISBNgAs7f8CsR1vATsA3nhWJL0JYhIlsirCUqsIDtRjQSGJ7tA7zlfi70Rgrx7s9ewBeqmi8iBR7ouBi4DWiMYxgCbAUe90BPAM/vj6o+DzwvIu+q6vmRbLs8VDVXRE4DnlfVR0RkboTbv0ZEhgBTcV5sjHIwo2lEI9NEZCEQCwxyHT28MFQAC0Tkc+BQ4B4RqeGFCFV9EnhSRB5U1Ye90FAGvrg/AKp6vog0Atqq6jciEgfEqGqeR5Kqi0h14ESc3nDEEZH3VPVcERmnqiu90BBtWHADI+pw52A6A3+qapaI1AWaqepsD7QkACcDc1X1L3eoraOqfhFhHUmqul1EUkIdV9WsSOoJ4Jf742o5FyfajarqwSLSGRilqp70sETkAeBO4A+gB9AQeF9Vj46ghgVAR+A3Ve0aqXajGTOaRlTiGoeDCRotUdVZHusJ1hLR+SARmaWqXUWkCFBAgg6rqnrmXSwiRwDtVfV1d1QgQVXXe6DjN+Ak4GtVPdwt+11VO0RaS5CmVCBLVYtcZ6laqro2gu2/DFwIVMeZ2yw+hPN3kxYpLdGCOQIZUYeI3A6sxXHieNvdJnik5UIR+RvYDKQDG9yfESXQS1DVGFWNdX8GNi8N5k04zi3D3aI0ds1DR5pCVd1cqsyroVlE5Hqc4eEit6g6EZ5XVNVrgJY4vd3Dg7Yu7k+jFGY0jWjkZpx5qUNUtbW7tfFIyyjgVFWNV9VqgZ8eafEj1+MMPWYBqOpyoJ5HWraJSAOcnjgicjzgpYfoTcEjEq5BvynSIlR1A3CMO6eZrqorA1uktUQDZjSNaGStqq7zWoRLuqr+6rWIACJyiogsFpE8ESkUkSIR8cqzGGCnquaUKvPKaete4HPgEBH5HhiHM6foFRKizKtRgebu/OZycIbURcRLr2vfYkbTiEYeFZGnROQkEekV2DzS8oKIDBGRNiLSPLB5pAXgSeBWoC6QAtR0f3rFRhFpw67e3ZXAKi+EuC83fXGW5zwKdFDVOV5ocVkvIhcEdkTkQiDic70uTwM3ABvd/Vk466CNUtiSEyMaORq4HDiWXeszFejugZbqwAPAXaW01PdACzhOJZM9ajsUtwHjgXYishpnmHaAh3pSgEAs2iQg0zsp3AZ8FNSj2wGc6ZGWZFX93nFMdzyARMSz+V4/Y0bTiEYuBw52I814zRCcJRTLvRbi8omInKWqH3otBEBVl7kh7NriDEcuUVVPhotF5EzgZZzQiwBjROQaVf3YCz2qulhE2uPcG/Dw3gAFIhLPrhGBZngXMMTXmNE0opGVPjGYAGv8YDBFJINdS01qiUgOsBP/LB3YivO8aSIiqKoXQ7TDgB6qugxARFoB7wARNZoh1tKucX8muffGizW1z+B4o9cTkUeASwEL4h4CM5pGNPKLOBkrJgK5gUJVnVT2KfuNqSLyBM6yl2At8yKso0uE2wsLdw7zKSAfCCyt8Gr4OjZgMKG4F+yFX0cmIdbSuvuKB85AqvqGiPyJMzxcDbhUVb+PtI5owIIbGFGHiEwLUayq2s8DLX+VoeWQSGsBJ21aICyciBwCtAc+93BIdDnOkpwlXrRfSstXOC83gaDoVwEXqeqJ3qnyFyLSGMBH3um+w4ymYVQhROQXoB9Ob2EesAKYr6o3eKTnJ1U9you2SyMiLYE32bVofxZOj8rz4XWvEZFDcUZuGrlFa4HzVXWxd6r8iRlNIypxnRZaAAmBMg+GRIP1VMfxpA1o8SrW62xVPVxELgfaqeoQEZmvqh0jrCMwb/cPIAcnClDw8LUn9wfADVeHqmZ7pcFvuKM3L6rqW+7+RcAgVe3rrTL/Yes0jahDRAbgrPWbB0wD5uDkJvRCSw8RWYSzXCAjaPOK4LRpU93PXgzNZuLch5E4QdLT3bJAecQRketFJE1Vs1U1W0TqiMh1XmjxIbUDBhNAVSewa2mOEYQZTSMaeRgnNNsiVa2DswRlokdangSuxDHgqcBQvPU6DKRN6wlM9yptWhkxcL2OheuLsHU+pdBd/gKA+9mWnITAvGeNaKRIVVe6+RADnn+3e6QlXlV/EpE4Vd0GjHTnFZ/wSM/N7Eqbli8isYBnvSl3vd8GVc0TkZ4484lj3XsVcTkhyjwLZu8zhgDfikhgiqMjcImHenyLGU0jGsl3f64RkbNxnF28GkoK9OI2i0hXYDXeBSRHHSeFOSJS3Z1XzMONJ+oRHwHHuHk0JwDfA72B8z3Qsl5ELlDVd8DzsHW+QlUnu85AAaetmaq6yUtNfsWMphGNPOkOOz6A8yBOxYm36gXjRaQOTizT6UC8q8sTRKQH8CpQOuuLZz0qVc0VkdOA51X1ERGZ65GU2/BP2DpfISLdgMWq+om7nyIiR/opGYFfMKNpRBXucGOeqmYAvwGtPdQSA8xw58a+FJE0nATLXgw9BgjMsT4H9AJuIchr1QOqu57FJwJjPNRRbtg6EWmhqqHW3R4IPA90C9rfgfM3dKQ3cvyLOQIZUYX7kLvfax0AbvLgF4L28z02mODOsQJxqrpNVUcCF3moZzyO52xzYIaINMJ5IHuCqhaq6kJ3K+3o8p4novxBTPD9UNUCrFMVEjOaRjQyS0SO9VqEy1I3hqlfCMz3bhaRriJSD2/nWB/BWU97tDvfug04zys95RDKUehAIU9Eikdt3HRu+Xuof8BibxJGNNIDuNKNlVm8QF1Vu3qgJQ3H8WZGKS3neKAFYIKf5lhdtgOtRCQhqGytV2L2wIEc6WUE8L2IfO7u98cJM2iUwiICGVGHiPQOVa6q0z3QckUZWsZGWktp3KhJns6xuoEoXsTxbt6O47S1SlVbeKWpLERklkcvXr7A7WkG4vBOtvCCoTGjaRhVDHfesAVBI0mq+q1HWmYDZwEfuuH9LgU6q+rdXujZE4EQhF7r8CMiMkVVj/dahx+w4Vkj6nDjZJZ+28sEfgSeUtWdEdTySojiTOBHVX03UjoCiMj9wN3An+yK6KJA90hrcfFFIArX6/ofqvrUHqq9Hyk9UYjX+Vh9gzkCGdHIbzhBBV4GXsJZwL8Oxz3+6QhryXPbXQ4sA7riPGBuEZFHI6wF4Gqgpap2VdVu7uaVwYRSgShE5HA8CETheoaGHEoPqvNwhOREIzYk6WI9TSMaOQY4LuAiLyLvAt8BxwLzI6zlUOCYQMYMEXkK+AzHkeJXnPBkkWSDu27UL4QKRHGbR1q+EpFLVPVNj9o3qgBmNI1opA4l33wVJ0tDgYhEeiF/veAUU272jLqqukNEIjlM3Mn9+JWIjGH3VFyepE1T1fHuR08DUbgMAmqJyMs4a0UFJ/KgDT0aYWNG04hGpgCfi8gb7v5AYKqbJzFihsplnjuv+aq7fwUw342CE8ksEaVTowWHh1PgkAhqKYGIHAW0pKRj0jgPpHTxoM2qwmqvBfgF8541og7XqWQQ0M8tmooT1zTiKbBcQz0UCHgWTgUewkm8XFtVN0Za056IdKg4Efk/nKHqOQQ5JqnqBZHSYJSNiPTa03GvvK79jBlNwziAiPRaRBFZCnRUVS/j3wa01MdZxN8ZKA60cICvzfzF/RiL0xP/E2dkoiUw50C+N2Vhw7NG1CEiqTg9zdJDfld7oCUOODeElocirSVMIh0qbj2RHzIvi5dxUpMdD9yJ8zc021NFHqOq3aB46dS9qvqVu38C3sYs9i3W0zSiDhH5GtiIsy4zOMj0sx5omQg0BH4upcV3i/chcj1NETnD/Xgcznzq25R0TJq0vzWE0DRHVbuIyHxV7Sgi1YDpqnp0pLX4DRGZp6qdSpXNVdXOXmnyK9bTNKKRRqp6gtciXDoC7dTePktTOoDBjUGfFYi40cRZUwuQ68bnzQDqeqDDjxSKSF9VnQbFoSqLPNbkS8xoGtHIchFJVdVMr4XgeBVWwz9DkOURkeFZVe0bTj0R6amqP+xvPS5/uMbyDeAnIAtnKYwB/8AJ9h8IRhEHXOihHt9iw7NG1CEiE3DCwn1BySG/OzzQ8hyOY8kHpbTsKVybZ4jIg36KfONVkHQR6YkTmejzEHk1D0jcAP/t3N3FqmqpwUJgPU0jGlnkbn6gOrAYJzJQgIi/iYrI0D0dDzgm+clgukTMMUlEHnDze6KqP4iI4PQ6L4mUBp9zBtBWVR8VkcYiUkdVIx1hy/eY0TSiDlUdsafjInKrqj4ZIS17zDkoIudHKHB7TfdnUxzv0Ek4xvsMnGAQfiWSLxjHlQqj9zzRM6y+XxGRh4BuOF7gj+J8L8/jhKw0grDhWaPK4ae8iB6si/wSuFJV17n7jYDXVLV/pDRUhEjeHxFJwQk+cTdwOtAYGKiqB7zDi4jMxUk28GsgPVooj1rDeppG1STSaxH3RKS1NA4YTABVXS8iTSKsoSJE7P6oapaInAV8ixPY/xwzmMXkqGqhM2JdjJ/+j3yDGU2jKuKn4ZNIa1kjIiNwUqYBXAOsibCGivDM/m7ATYQd/D0k4ASP/0VEDuiIQEGsFJHjAHUdgobghD40SmFG0zCqFlcCT7HrgfeVW+YJ7vDwbThGKjhi0hnuz5cjIOO2CLQR7dwCjMVZd7wdmIY5SIXEjKZRFfHTsFJEtahqOuCnYOjv46yF/JDIZn0pRlWnQ+hg9SJywEcDAlDVDcDJIlIDx9dlu9ea/Io5AhlRiduDaauq37jxX2NUNc891llV50ZQSzzQXFWXhzh2iqp+Hiktbpt+ScXlK2cSd5i2byAohogcDryrqq08FeYDROR0nJCCWSJyF9ADGK6qCzyW5jtivBZgGBVFRM4DZgKvuUUdcHoyAETYYPYBVuIMZyEi3YLyfOKBwfw/YDxwHo6H6OnAgEhqKMVvIuJ18ukAjwAfiUg1ETkUeBcLSh5gpGswOwOX4gzr/5/HmnyJ9TSNqENEfgNOAr4Oco//XVU7eKBlJs7cz0Svtbht+yYVF4CIdMRZ5rGUkhGT+pV50v7VcztOHtY2wNURDOHnawJLf0TkbmC7qv7PT0u3/ITNaRrRSKGqbi7lHp9XVuX9TKyqLveJFvBXKi5wIu78H/ArHs1pBmVcAVgODAS+BOqIyBleZFzxIbHusP65QCBgR7yHenyLGU0jGtkmIg1wlxGIyPHAFo+05IpIcpCWjkCOR1rACUQ+UUQ8T8UV1PYeQ/xFgNIZV7KBw9zNq4wrfuMBnAhAX6vqIhFpC/zhsSZfYsOzRtQhIkcCL+DkaVwAtABOU9U5Hmg5CRiO43jzFXACTpSZqZHW4uqZFqJYPRwO/R/wghffjWHsD8xoGlGJiNTCiYspwAwv04SJSAvgZFfL5FBetAcqIjIfaAsso2TP15O5MtfTuQVOgIOAlnleaPEbItId6ELJe+PLbD1eYkbTMPaC4MwZeyqLsCbfGAY3mfFuBNZORljLAOBFnJRg292fK1W1RaS1+A0RGYLjcd0cmA6cCExR1bM9FeZDzGgaUYeIFBEiPJ2qxnqgZTcPQy+9Dv1qGESkMUBwXFwPNMwGzgI+VNXDReRSoLOq3u2VJr8gIguAI4GZqtrFndN8VFXP9Via7zBHICMaqRn0ORG4HIiowRSR/jhDsk1EZHTQoVqR1BGCh3EWppcwDF6JcddDTsTJKIKIrAHOV9XFHsgpUtWVbjAMVPUNdwmKAbmqmisiMSIiqrpERFp6LcqPWHADI+pQ1e1B2yZVHY0ztBRJcoFMoAjYGrQtAM6JsJZgilR1Je4Lsaq+gbMu0Sv+h7Nwvraq1gZG4t2i+Xz35xoROduNCFTbIy1+I8cd1p8D/Md9mYj4yE00YD1NI+oRkXZA3Ui26c7JTReRDyMZgSgMShgGYAXeGobaqvpWYEdVJ4jIfR5peVJEauMsr5gApGLB3APcCFQD7sRJQt0TuMxTRT7F5jSNqENEMtg1pxmL47V6s6qO9UiPb7wOReRi4Auc5TgBw3BrsOGKsJ7fgMtUdaG73x54XVWP8EKPsWfEjdKhZhjKxIymEXWIyEFBuwVAuqp6FW0mqrwOReR8VX03gu31B94EAt67HYFLVPXLCGrorarTS0UGCqDAJhwHmAP2YSgizXEcyPrg3JNpwCBVXeWlLj9iRtMw9oJo8zqMpGeviMQA3YA/gaPc4pmquikS7QfpeFFVrysj8ANAPWCJX7+zSCAi3wCf4gQNEeBaYICq9vFQli8xo2lEHSLyFyGWnARQ1UMiqOVXVT1SRObhLF9QEZmjql0ipaEiiMjsQGD5CLU3V1U9894NFxFZjBPAfYbXWrwgVJIBEVmgqod5pcmvmCOQEY28ARyMEysT4Dqc9Fxve6CltNfhGvztdRjpt+SlItJKVZdFuN0KoartRGQWcKBm9VgmIm1U9Q8AEWmDk5nGKIUZTSMaOVlVuwV2ROQH4GePAoOb1+GeSQPmiMgMnEDpAKiql8tyykLKr1K1EJEPcF6kkoG57vcEcDRwQPa6y8OMphGN1BKRJFXd7u4n4UFQARGJxfEMvRcn+s51kdZQCSJtGMa6WzRwIM5VfRj0eVwZn40gzGga0chbwEwRecfdPx9nyDaiqGqhiPSNdLvh4ga1b6aqC4KKh0So7fdcx5oGqvp4JNo0Kk64y7RE5DH35fCAxxyBjKhERE5jV6Sbr1X1c490DMcJKPAqJYcfszzS8wVwEc5SnICxHBfpoWvXq7gj8JtXcXgrSqSdpKIJL+Mp+w0zmoaxF7jB4wMozvCnehE83tUz2405ewHO/OpdwCxV7RhhHS8DFwLVgW3Bh3DuT1ok9QQjItVVdWeI8mtU9WUvNPkde6HYhQ3PGlGDiDyhqncGOS+UwAvnElX1W/zmePdnL+ALVc0XkYJIi1DVa9zAD1OBUyPdfihEpBPO0H4q0FREjgAuVNV7AMxg7hHrXbmY0TSiiW/cnx96qGE33Idve1V9XURSgURVXe+RnAUi8jlwKHCPiNTwSAequkFEjlHVrWXVifBc2VPADcDT7v4sHIeXeyLUvlEFsOFZw9gLROQmYBCQrKot3XRKL6mqJw5CIpKAk7Jsrqr+JSJNgI6q+oUXesojwhGKAoEoiocabdgxPOw+7cJ6mkbU4fbmBgEtCfobVtWrPZBzPU7+yhmuhuUiUs8DHbjt5wIfikiKiKQBOcDPXukJg0gugSlwA1EogIg0AzyJWew33HuxQVXzRKQncDgwVlUD89EneafOX5jRNKKRicBG4Ee8f+jtVNUcNzlEgIjPIQYQkQtxhh9rE+SYhBOAwY9EcqjrGZyh/Xoi8ghwKTY0G+Aj4Bh3ZGIC8D3QG2c5F6q60UNtvsKMphGNNFLVE7wW4bLRDTkW6L1cCXiZGWIUcKqq/uqhBl+iqm+IyJ/AmTgvEZeq6vcey/INqprrLuV6XlUfERE/5Yn1DWY0jWhkuYikqmqm10JwkhiPB9qJyGogCxjgoZ70KDOYEY1Q5AZkt/Bwu1NdRKrjpLYb47EWX2NG04hGdgCz3IX8uYFCVb0j0kJUdZmIHAW0xTEAS7zK7enygrvUYyIl740nvV8/zZW5qcFCLVXqF6L6gcZ4IB34A5ghIo1w/s+MUpj3rBF1iMiwUOWqOiLSWqA4b2RDSjoleWWkBgH/xTGYAeOtqlrfIz2zgGOAOsBMnLmyOFU93wMtpwXtJgADgT9UdXCktfgR18EuS1WLRCQZqKWqaz2W5TvMaBrGXuDOYT6FE0ovEB3ISyO1Euinqsu9aL80gSUlInI9UD8wV+aHHJsiEgdMVdVeXmvxGvf7maiqW9z9OsA5qvqit8r8hw3PGlGHiISMo6qqD0VaC/Ag0E1Vl3jQdijW+MVguvh5riwWaOy1CJ9wk6q+ENhR1c3uGmQzmqUwo2lEIzWDPifghGn70SMtm3xkMAGmisgTOAm5g+c053mkxzdzZaXCL8YCnYDPvNDiQ0I5ZPk5mbpn2PCsEfW4Q0mvqerpHrQ9GCeAwFuUNFJeZTn5K0SxquohERfjEmKuLEVV13mg44qg3QJgmar+FGkdfsR1qntFVd9x9y8ErlbV/t4q8x9mNI0qgYj8rqodPGjXV1lO/IaI/Kyq3csrM7xFRNrhBDio7hbtAM5U1aXeqfInNjxrRB0ickvQbizQHWcIMOL4MMsJ4KS/YtcD0LOeL6WeMa7zTc0y6u4XRGT0no57sVTJb6jqYhFpj7N0CrxfOuVbzGga0Uhw4OgCYA7wQuiq+x8/ZTkRkR44CbHblDoU0Z6viNwL3Acki8iWoEOJOJlFIkmZWVYOdEQkpVTRGvdnkoh4+bLlW2x41qhyiMj5qvpuhNryW5aTn4BbgOdwcmreAuSq6hMR1lELJ/7t/+Gk4wqQpaoZkdRilI07vRCYVghg0wx7wIymUeWIcLqpOcDRwIygdFMLVPWwSLQfQk9gXeR8Ve3olv2iqt280OM3RKQ70AXH6xoAVX3KM0FG1GHDs0ZVJJLxTH2V5SSo7c0i0hVYDXiWqszV8ChwCM7zJtCDibg3rxte8DygOTAdZ+3oFJzgFIYRFmY0japIJIdP/JblZLy7BOdRHMMQDzzgoZ6xOCm5/JDGbSBwJDBTVc8VkbY498kwwsaMpmHsHbfhkywnbgzcGaq6GfjSTUKdEBQc3QsKVfV5D9sPJtdNfxUjIqKqS9w5aMMIGzOaRlUkksOzecAFOMs7YnACHGyOYPvFuMEDXgA6u/v5ODFxveQHETnSJ+nKckQkHsfb+j8isgaLemNUEF+uMTOM8hCR+D30EoZEUMpvwDJgtvt5KbBaRH4XkS4R1BFgqYi08qDdsuiFEz5voYjMCmweabkPJ/n0nUAK0BO4zCMtRpRi3rNG1CEifXDC1hWoanMR6QbcqqqXeqDlX8BinLk7AS4FDgN+AO5W1WMjrGcqTrCHGUB2oFxVz4mkjiA9vUOVq+p0D7RsBqbirGP9QlWLyjnFMHbDjKYRdYjITOASnFRGgWUeXoXRmx3QEFS227KPCOq5IlS5qo6NpA4/IiJJwPnAlUBL4A3gVVX9w0tdRnRhc5pGNBKrqstLLfPI80hLdRFpHYjRKSKt2bUGMOLeon4xjiLyhKreWSqzSDFe9HxVdTvwGvCaiLQABgOLsHlNowKY0TSikVw3W0ZgmUdHnEwjXjAY+FFE5rr7nYBrXX1vR1qMiLwSojgT+DFSUZJcvnF/fhjBNsvFdQQ6A7ga6IYTscgwwsaGZ42oQ0ROAobjDLF9BZwADFTVqR7pqQf0cHdnqupGL3S4Wp4DjsEx2Irj2TsH5159p6oRc5ISkVjgUVW9N1Jt7gkReRpneHY2zrzmh6rq1QiFEaWY0TSiEnd47WQc55vJqrrcY0m+QESmA6epara7n4yTaPlk4FdVbR9hPb5JA+ZGBBqnqmvKrWwYZWBG04g6ROQBVX2kvLIDERFZWNowBspCOS1FQM9wnLWir1LSm9eyZxhRiRlNI+oIFZA9kkHa/YyITMBJIPyqW3QFTv7Ky4EfVPXICOsJtazDsmcYUYsZTSNqEJH+OMOMA4E3gw7VAg43o1k8HDsUON4tmgo8hOMoVdvL+VbDqAqY96wRTeTieIIWUTKx8GrgYS8E+Q13LvOeMg57YjBFpDlOZCAFvlXV1V7oMIx9gfU0jahDRDqr6tzyax54iEgccC6Ot2zxS7GqPuSRnoHA08C3btGxwM2qOsELPYaxt5jRNKISSyYcGhGZCDQEfiYouIKq3u2RnsXAKar6l7t/ME4Iu3Ze6DGMvcWGZ42ow5IJ75GOQDv1z9vwjoDBBFDVFSKyw0tBhrE3WJYTIxoZiLOAf42qnosT2cWCbzusxsnk4Rc+FZHhItJURJqJyFDgYxFJEZEUr8UZRkWx4Vkj6hCRX1X1SBGZB3RWVRWROaraxWttXuNGBOoMfIDjOAV4N3RdxpKTALb0xIg6bHjWiEYsmXDZVMdJVXZoUJlnb8aqaqNZRpXCeppG1CEihwF/ATWAR4HawCOqOsdLXdGAiJwf4cDtgXZTKOnNuyXSGgxjX2BG04gq/BYEPNqIdOQkEbkQZ8lJGrt6vKqqfpp3NYywsaETI6pQ1UKgr9c6ohgpv8o+ZRRwqqrGqWq8u5nBNKIWM5pGNPKZiNwvIo0DXpjmiRk2kR5aSlfVXyPcpmHsN2x41og6SnlkKk7vyTwxw8CD4dkrgcbAREp6866KlAbD2JeY96wRdZhH5l4R6eHZ6sADwF3silCkQP0I6zCMfYL1NI2oRESOANqr6usikgokqup6j2X5Anc5TvNQiblF5BRV/TyCWlYC/SxJuFFVsDd2I+oQkZuAV4DhblEd4C3PBPkIEekDrASmufvdROSNwPFIGkyXNWYwjaqEGU0jGrke6AFkAbgP5XqeKvIP/wKOAzYDqOovwOEe6pkqIk+ISHcR6RTYPNRjGHuFzWka0chOVc0RKTE9V+CVGJ8Rq6rLS92bPK/EAJe6P88JKlPgEA+0GMZeY0bTiEY2ikgb3OUTroemeWM65IpIMrvuTUcgxysxqtrCq7YNY39gRtOIRm4DxgPtRGQ1zjDtAE8V+YeHgS+BJu5c5gk4WWEiiogkqer2stbPqmpWpDUZxr7AvGeNqEREYoC2OEsolriRggxARFoAJ+Pcm8leOOIE1oO6a2oDa2kD2JpaI2oxo2lEJa7RbEjJIOAH/BCtiDygqo+UV+YXRKS6qu70WodhhIt5zxpRhzuHmQnMB35zNwvV5nBOmGV+4UevBRhGRbA5TSMaeRDopqpLvBbiF0SkP86QbBMRGR10qJZHksIl0hGKDGOvMKNpRCObzGDuRi5O77sI2BpUvhrHOciv2PyQEVXYnKYRdYjIYJxlFG9RMgj4Ae+RKSKdVXWu1zrCJdIB5A1jbzGjaUQdluVkz4hId6ALkBAoU9WnPBO0B0Rktqp6GbHIMCqEDc8aUYdlOSkbERkCnAc0B6YDJwJTAE+MpojUVdVNeyib6YEsw6g09vAxohIROUJELnM/p4pII681+YSBwDE4gdLPBbrhzHN6xZd7KlPVGyOoxTD2GjOaRtRhWU72SK6q5gIxIiKuw1TLSIsQkWpuNKBYEakpIinu1gxIirQew9hX2PCsEY0EspzMACfLiYhYlhOHHDef5hzgPyKyBvBirncwMAxnzjnYmzcLeMIDPYaxT7CephGN7FTV0kHILcuJw41ANeBOIAXoCVwWaRGqOsKde35BVWOCtlRV9fMSGMPYI2Y0jWjEspyEQERigctUdbuqblTV61T1PFWd45UmVb3R5p+NqoQtOTGiDhFphZPlpANOsuUsYICq/uWpMB8gIj+ranevdQRw558HAcmq2lJEWgIvqWpfj6UZRqUwo2lEHSLSHGeerjrOaEkuTpQgC24gMhzIB14FsgPlXt0bEZkDHA3MCKzHFJEFqnqYF3oMY28xRyAjGvkNSAPy3P1qQLbr9HKJl8ORPmCo+/NhggI/4I0zELjzzyIlQsza/LMRtZjRNKKRl4HFwFgco3ApcBjwA/AMcKx30rzFh4EfbP7ZqFLY8KwRdYQKvRaU9Hi+qnb0SpsfEJEjgPaq+rqIpAKJqrreIy02/2xUKaynaUQj1UWktaouBRCR1uyKs1ronSzvCXa8AV7HCfzwEuCV400ecAEl5583e6TFMPYaM5pGNDIY+FFEAtk8OgHXikgy8LZ3snyB3wI/2PyzUaUwo2lEHar6kYjMwDEOADNVdaP7eZRHsvyC3xxvbP7ZqFL4zWnAMMLCXbz/sbttLP+MAwa/Od70V9XX1KFIVccBJ6jqR0AtD3UZRqWwnqZhVC1uw3G8aSciq3EdbzzUY/PPRpXCjKZhVCFUdZmIHAW0xRkOXaKqXhonm382qhS25MQwqhgiEgM0JOilWFU9G6J1HZFCzT8bRtRhRtMwqhDuHOZTOKH0AsmnVVXreybKMKoQZjQNowohIsuBU93k04Zh7GPMe9YwqhabzGAaxv7DepqGUYUQkcFADvAWTvQdwLssJ4ZR1TCjaRhVCBEpCtotznKiql5lOTGMKoUZTcMwDMMIE5vTNIwqhogcISKXuZ9TRaSR15oMo6pgRtMwqhBulpNXgOFuUR2c+U3DMPYBZjQNo2oRyHKSBU6WE8DLLCeGUaUwo2kYVYudqppTqszLLCeGUaUwo2kYVQu/ZTkxjCqFec8aRhVCRFrhZDnpAGzGzXKiqn95KswwqghmNA2jCiEizYFYoDrOSFIuTpQgC25gGPsAM5qGUYUQkY1AGpDnFlUDsoE1wCWqOscjaYZRJbB8moZRtXgZWAyMxYkGdClwGPAD8AxwrHfSDCP6sZ6mYVQhRGS2qh5eqmyWqnYVkfmq2tErbYZRFTDvWcOoWlQXkdaBHfdzgrtb6I0kw6g62PCsYVQtBgM/ishcd78TcK2IJANveyfLMKoGNjxrGFUMEamHExUIYKaqbvRSj2FUJcxoGoZhGEaY2JymYRiGYYSJGU3DMAzDCBMzmoZhGIYRJmY0DcMwDCNMzGgahmEYRpiY0TQMwzCMMPl/viqxn3vSsP4AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<Figure size 400x160 with 2 Axes>"
+       "<Figure size 400x160 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x144 with 2 Axes>"
       ]
      },
      "metadata": {
@@ -285,6 +354,8 @@
     }
    ],
    "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
     "compliance_matrix = np.zeros((len(features1.head_nodes),\n",
     "                              len(features2.head_nodes), 2),\n",
     "                             dtype=np.int64)\n",
@@ -298,7 +369,8 @@
     "\n",
     "df = pd.DataFrame(data=data, index=features1.head_nodes, columns=features2.head_nodes)\n",
     "figure(figsize=(5, 2), dpi=80)\n",
-    "sns.heatmap(df, annot=True, linewidths=.6, cmap=\"YlGnBu\")"
+    "plt.figure(figsize=(12, 2))\n",
+    "sns.heatmap(df, annot=True, linewidths=0.3, cmap=\"YlGnBu\")"
    ]
   },
   {
@@ -316,14 +388,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from codeplag.pyplag.utils import get_ast_from_filename, get_features_from_ast\n",
-    "\n",
-    "filename1 = '../Notebooks/samples/tokenbased_old.py'\n",
-    "filename2 = '../../src/codeplag/algorithms/tokenbased.py'\n",
-    "tree1 = get_ast_from_filename(filename1)\n",
-    "tree2 = get_ast_from_filename(filename2)\n",
-    "features1 = get_features_from_ast(tree1, filename1)\n",
-    "features2 = get_features_from_ast(tree2, filename2)"
+    "from codeplag.pyplag.utils import get_ast_from_filename, get_features_from_ast"
    ]
   },
   {
@@ -348,42 +413,31 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[91mf\u001b[0m\u001b[91mr\u001b[0m\u001b[91mo\u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91mu\u001b[0m\u001b[91mm\u001b[0m\u001b[91mb\u001b[0m\u001b[91ma\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mm\u001b[0m\u001b[91mp\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91mt\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91mj\u001b[0m\u001b[91mi\u001b[0m\u001b[91mt\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91md\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91m_\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mq\u001b[0m\u001b[91mu\u001b[0m\u001b[91me\u001b[0m\u001b[91m_\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m=\u001b[0m\u001b[91m3\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m{\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mp\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m:\u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m]\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91m-\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m}\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91md\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mv\u001b[0m\u001b[91ma\u001b[0m\u001b[91ml\u001b[0m\u001b[91mu\u001b[0m\u001b[91me\u001b[0m\u001b[91m_\u001b[0m\u001b[91mj\u001b[0m\u001b[91ma\u001b[0m\u001b[91mk\u001b[0m\u001b[91mk\u001b[0m\u001b[91ma\u001b[0m\u001b[91mr\u001b[0m\u001b[91m_\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91mf\u001b[0m\u001b[91mi\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91mt\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91md\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91mf\u001b[0m\u001b[91mi\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91mt\u001b[0m\u001b[91m.\u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91md\u001b[0m\u001b[91m)\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91mf\u001b[0m\u001b[91mi\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91mt\u001b[0m\u001b[91m \u001b[0m\u001b[91m|\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91md\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m.\u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m/\u001b[0m\u001b[91m \u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91md\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91mc\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91mX\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mY\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mX\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mY\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m \u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m[\u001b[0m\u001b[91m[\u001b[0m\u001b[91m0\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m*\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m]\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mj\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m \u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mj\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mX\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91mY\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91mm\u001b[0m\u001b[91ma\u001b[0m\u001b[91mx\u001b[0m\u001b[91m(\u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mm\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mn\u001b[0m\u001b[91m]\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m1\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m2\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m1\u001b[0m\u001b[91m \u001b[0m\u001b[91m*\u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m.\u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91m(\u001b[0m\u001b[91m2\u001b[0m\u001b[91m \u001b[0m\u001b[91m*\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91mc\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m1\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91m/\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m1\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m)\u001b[0m"
+      "\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1mC\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mL\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mv\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1my\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mx\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mw\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mx\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mw\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mx\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mw\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1my\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1my\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mx\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mw\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mx\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1my\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mv\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mS\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m>\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m0\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m/\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mx\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m>\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1mT\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mS\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mS\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m6\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1m\"\u001b[0m\u001b[91m\u001b[1mT\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mG\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1my\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mS\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mT\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mp\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mp\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1md\u001b[0m"
      ]
     }
    ],
    "source": [
-    "from codeplag.utils import print_suspect_parts\n",
+    "from codeplag.display import print_suspect_parts\n",
     "\n",
     "with open(filename1, 'r') as f:\n",
     "    text1 = f.read()\n",
@@ -404,43 +458,22 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[91m\n",
-      "\u001b[0m\u001b[91mi\u001b[0m\u001b[91mm\u001b[0m\u001b[91mp\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91mt\u001b[0m\u001b[91m \u001b[0m\u001b[91mb\u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91ma\u001b[0m\u001b[91ms\u001b[0m\u001b[91mc\u001b[0m\u001b[91mi\u001b[0m\u001b[91mi\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91md\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91m_\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mq\u001b[0m\u001b[91mu\u001b[0m\u001b[91me\u001b[0m\u001b[91m_\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m=\u001b[0m\u001b[91m3\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m\"\u001b[0m\u001b[91m\"\u001b[0m\u001b[91m\"\u001b[0m\u001b[91mT\u001b[0m\u001b[91mh\u001b[0m\u001b[91me\u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m \u001b[0m\u001b[91ma\u001b[0m\u001b[91m \u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91m \u001b[0m\u001b[91mo\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mN\u001b[0m\u001b[91m-\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m{\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mp\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m:\u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m]\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91m-\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m}\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91md\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91m_\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91mt\u001b[0m\u001b[91mo\u001b[0m\u001b[91mk\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91ms\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m=\u001b[0m\u001b[91m3\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91mf\u001b[0m\u001b[91mi\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91mt\u001b[0m\u001b[91m.\u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91md\u001b[0m\u001b[91m)\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91mf\u001b[0m\u001b[91mi\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91mt\u001b[0m\u001b[91m \u001b[0m\u001b[91m|\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mm\u001b[0m\u001b[91ms\u001b[0m\u001b[91m_\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91md\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m.\u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91me\u001b[0m\u001b[91mr\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mc\u001b[0m\u001b[91mt\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m/\u001b[0m\u001b[91m \u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mi\u001b[0m\u001b[91mo\u001b[0m\u001b[91mn\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91md\u001b[0m\u001b[91me\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91mc\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91mX\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mY\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m'\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mX\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91mY\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m \u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m[\u001b[0m\u001b[91m[\u001b[0m\u001b[91m0\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m*\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m]\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mm\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mf\u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mj\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91ma\u001b[0m\u001b[91mn\u001b[0m\u001b[91mg\u001b[0m\u001b[91me\u001b[0m\u001b[91m(\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m \u001b[0m\u001b[91mo\u001b[0m\u001b[91mr\u001b[0m\u001b[91m \u001b[0m\u001b[91mj\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91mX\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91mY\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91m1\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91mm\u001b[0m\u001b[91ma\u001b[0m\u001b[91mx\u001b[0m\u001b[91m(\u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m]\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mi\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mj\u001b[0m\u001b[91m-\u001b[0m\u001b[91m1\u001b[0m\u001b[91m]\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91mL\u001b[0m\u001b[91m[\u001b[0m\u001b[91mm\u001b[0m\u001b[91m]\u001b[0m\u001b[91m[\u001b[0m\u001b[91mn\u001b[0m\u001b[91m]\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mm\u001b[0m\u001b[91m1\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91ms\u001b[0m\u001b[91mu\u001b[0m\u001b[91mb\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mq\u001b[0m\u001b[91m1\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mm\u001b[0m\u001b[91m2\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mn\u001b[0m\u001b[91m(\u001b[0m\u001b[91ms\u001b[0m\u001b[91mu\u001b[0m\u001b[91mb\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mq\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mi\u001b[0m\u001b[91mf\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mm\u001b[0m\u001b[91m1\u001b[0m\u001b[91m \u001b[0m\u001b[91m*\u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mm\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91m=\u001b[0m\u001b[91m=\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m:\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m0\u001b[0m\u001b[91m.\u001b[0m\u001b[91m0\u001b[0m\u001b[91m\n",
-      "\u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91m \u001b[0m\u001b[91mr\u001b[0m\u001b[91me\u001b[0m\u001b[91mt\u001b[0m\u001b[91mu\u001b[0m\u001b[91mr\u001b[0m\u001b[91mn\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91m(\u001b[0m\u001b[91m2\u001b[0m\u001b[91m \u001b[0m\u001b[91m*\u001b[0m\u001b[91m \u001b[0m\u001b[91ml\u001b[0m\u001b[91mc\u001b[0m\u001b[91ms\u001b[0m\u001b[91m(\u001b[0m\u001b[91ms\u001b[0m\u001b[91mu\u001b[0m\u001b[91mb\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mq\u001b[0m\u001b[91m1\u001b[0m\u001b[91m,\u001b[0m\u001b[91m \u001b[0m\u001b[91ms\u001b[0m\u001b[91mu\u001b[0m\u001b[91mb\u001b[0m\u001b[91ms\u001b[0m\u001b[91me\u001b[0m\u001b[91mq\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m)\u001b[0m\u001b[91m \u001b[0m\u001b[91m/\u001b[0m\u001b[91m \u001b[0m\u001b[91m(\u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mm\u001b[0m\u001b[91m1\u001b[0m\u001b[91m \u001b[0m\u001b[91m+\u001b[0m\u001b[91m \u001b[0m\u001b[91mc\u001b[0m\u001b[91mo\u001b[0m\u001b[91mu\u001b[0m\u001b[91mn\u001b[0m\u001b[91mt\u001b[0m\u001b[91m_\u001b[0m\u001b[91me\u001b[0m\u001b[91ml\u001b[0m\u001b[91me\u001b[0m\u001b[91mm\u001b[0m\u001b[91m2\u001b[0m\u001b[91m)\u001b[0m\u001b[91m)\u001b[0m"
+      "\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m@\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mv\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m>\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mS\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mL\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mT\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mL\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mT\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mS\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m3\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mF\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mq\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mb\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mF\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m>\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m|\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m|\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mp\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m|\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mp\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mk\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mh\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m,\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m2\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m.\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mu\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1mt\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m|\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1m_\u001b[0m\u001b[91m\u001b[1ms\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1mc\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1md\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mL\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1m0\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m*\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mm\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1mo\u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mr\u001b[0m\u001b[91m\u001b[1ma\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1mg\u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1m(\u001b[0m\u001b[91m\u001b[1mn\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m)\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1me\u001b[0m\u001b[91m\u001b[1ml\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1mf\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mX\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mY\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m:\u001b[0m\u001b[91m\u001b[1m\n",
+      "\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mL\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m=\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1mL\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mi\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m[\u001b[0m\u001b[91m\u001b[1mj\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m-\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m\u001b[91m\u001b[1m]\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m+\u001b[0m\u001b[91m\u001b[1m \u001b[0m\u001b[91m\u001b[1m1\u001b[0m"
      ]
     }
    ],
@@ -461,7 +494,7 @@
    "id": "d06bf428",
    "metadata": {},
    "source": [
-    "**NB.** Для выделения схожим фрагментов стоит воспользоваться функций print_code_and_highlight_suspect из codeplag.pyplag.utils. Подстветка будет работать в консоли."
+    "**NB.** Для выделения схожим фрагментов стоит воспользоваться функций print_code_and_highlight_suspect из codeplag.display.utils. Подстветка будет работать в консоли."
    ]
   },
   {
@@ -503,12 +536,12 @@
     {
      "data": {
       "text/plain": [
-       "{'adfmp1h21-alias': 'https://github.com/OSLL/adfmp1h21-alias',\n",
-       " 'adfmp1h21-birds': 'https://github.com/OSLL/adfmp1h21-birds',\n",
-       " 'adfmp1h21-crocodile': 'https://github.com/OSLL/adfmp1h21-crocodile',\n",
-       " 'adfmp1h21-iq': 'https://github.com/OSLL/adfmp1h21-iq',\n",
-       " 'adfmp1h21-mushrooms': 'https://github.com/OSLL/adfmp1h21-mushrooms',\n",
-       " 'adfmp1h21-verbal-counting': 'https://github.com/OSLL/adfmp1h21-verbal-counting'}"
+       "[Repository(name='adfmp1h21-birds', html_url='https://github.com/OSLL/adfmp1h21-birds'),\n",
+       " Repository(name='adfmp1h21-mushrooms', html_url='https://github.com/OSLL/adfmp1h21-mushrooms'),\n",
+       " Repository(name='adfmp1h21-verbal-counting', html_url='https://github.com/OSLL/adfmp1h21-verbal-counting'),\n",
+       " Repository(name='adfmp1h21-crocodile', html_url='https://github.com/OSLL/adfmp1h21-crocodile'),\n",
+       " Repository(name='adfmp1h21-alias', html_url='https://github.com/OSLL/adfmp1h21-alias'),\n",
+       " Repository(name='adfmp1h21-iq', html_url='https://github.com/OSLL/adfmp1h21-iq')]"
       ]
      },
      "execution_count": 16,
@@ -517,9 +550,7 @@
     }
    ],
    "source": [
-    "import re\n",
-    "\n",
-    "gh.get_list_of_repos('OSLL', reg_exp=r\"[abc]df\\w*21\")"
+    "gh.get_list_of_repos('OSLL', reg_exp=re.compile(r\"[abc]df\\w*21\"))"
    ]
   },
   {
@@ -560,8 +591,8 @@
     {
      "data": {
       "text/plain": [
-       "{'iss82': '9a479537201d6c8a3ea920ff029dfad7d237562c',\n",
-       " 'main': '9b36a1ec2f269218405d362e0515cd5e97e7f117'}"
+       "[BranchInfo(name='CP-148', last_commit=Commit(sha='d24d00655563561d1a7b73a010605ec3f80d7c71', date='2023-01-15T12:35:32Z')),\n",
+       " BranchInfo(name='main', last_commit=Commit(sha='6e4569aa953a2b8cd69c3c2e33faab45ce5344d1', date='2024-10-19T09:35:52Z'))]"
       ]
      },
      "execution_count": 18,
@@ -585,9 +616,6 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "License agreement for codeplag versions 0.0.2 and later\n",
-      "=======================================================\n",
-      "\n",
       "MIT License\n",
       "\n",
       "Copyright (c) 2021 Codeplag Development Team \n",
@@ -624,7 +652,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "files1 = list(gh.get_files_generator_from_repo_url('https://github.com/OSLL/code-plagiarism'))"
+    "files1 = list(\n",
+    "    gh.get_files_generator_from_repo_url(\n",
+    "        \"https://github.com/OSLL/code-plagiarism\",\n",
+    "        path_regexp=re.compile(r\".py$\")\n",
+    "    )\n",
+    ")"
    ]
   },
   {
@@ -637,125 +670,54 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "import numpy as np\n",
-      "\n",
-      "\n",
-      "class LevenshteinDistance:\n",
-      "    def __init__(self, sequence1, sequence2):\n",
-      "        self.sequence1 = sequence1\n",
-      "        self.sequence2 = sequence2\n",
-      "        self.s1_length = len(sequence1)\n",
-      "        self.s2_length = len(sequence2)\n",
-      "        self.distance = -1\n",
-      "        self.distance_matrix = np.zeros((self.s1_length + 1,\n",
-      "                                         self.s2_length + 1),\n",
-      "                                        dtype=np.int64)\n",
-      "\n",
-      "    @staticmethod\n",
-      "    def m(symbol1, symbol2):\n",
-      "        '''\n",
-      "            The function returns 0 if symbol1 is equal symbol2\n",
-      "            else returns 1\n",
-      "        '''\n",
-      "        return 0 if symbol1 == symbol2 else 1\n",
-      "\n",
-      "    def calculate_distance_matrix(self):\n",
-      "        '''\n",
-      "            The function calculates the Levenshtein matrix and sets\n",
-      "            in the distance atribute minimal count of operations\n",
-      "            needed for converting the first sequence to the second.\n",
-      "        '''\n",
-      "        for i in range(self.s1_length + 1):\n",
-      "            self.distance_matrix[i][0] = i\n",
-      "        for j in range(self.s2_length + 1):\n",
-      "            self.distance_matrix[0][j] = j\n",
-      "\n",
-      "        for row in np.arange(1, self.s1_length + 1):\n",
-      "            for column in np.arange(1, self.s2_length + 1):\n",
-      "                symbol1 = self.sequence1[row - 1]\n",
-      "                symbol2 = self.sequence2[column - 1]\n",
-      "                minimum = min(self.distance_matrix[row - 1][column] + 1,\n",
-      "                              self.distance_matrix[row][column - 1] + 1,\n",
-      "                              self.distance_matrix[row - 1][column - 1]\n",
-      "                              + self.m(symbol1, symbol2))\n",
-      "                self.distance_matrix[row][column] = minimum\n",
-      "\n",
-      "        self.distance = self.distance_matrix[self.s1_length][self.s2_length]\n",
-      "\n",
-      "    def get_similarity_value(self):\n",
-      "        '''\n",
-      "            If the distance attribute had been calculated in the calculate\n",
-      "            method then the function returns similarity of two sequences\n",
-      "            else returns -1\n",
-      "        '''\n",
-      "        if self.distance == -1:\n",
-      "            self.calculate_distance_matrix()\n",
-      "\n",
-      "        return 1.0 - self.distance / max(self.s1_length, self.s2_length)\n",
-      "\n",
+      "from typing import Literal\n",
       "\n",
-      "def is_marked_match(marked_string_list, begin, length):\n",
-      "    \"\"\"The function returns true if the match consists in\n",
-      "    the marked list, else false.\n",
       "\n",
-      "    @marked_string_list - list with marked indexes\n",
-      "    @begin - start index of match\n",
-      "    @length - length of match\n",
-      "    \"\"\"\n",
+      "def main() -> Literal[0, 1, 2]:\n",
+      "    import argcomplete\n",
+      "    import pandas as pd\n",
       "\n",
-      "    if begin in marked_string_list or \\\n",
-      "       (begin + length - 1) in marked_string_list:\n",
-      "        return True\n",
-      "    else:\n",
-      "        return False\n",
+      "    from codeplag.codeplagcli import CodeplagCLI\n",
+      "    from codeplag.config import read_settings_conf\n",
+      "    from codeplag.consts import LOG_PATH\n",
+      "    from codeplag.logger import codeplag_logger as logger\n",
+      "    from codeplag.logger import set_handlers\n",
+      "    from codeplag.translate import get_translations\n",
+      "    from codeplag.utils import CodeplagEngine\n",
       "\n",
+      "    pd.set_option(\"display.float_format\", \"{:,.2%}\".format)\n",
+      "    pd.set_option(\"display.max_colwidth\", None)\n",
       "\n",
-      "def gst(sequence1, sequence2, min_match_len=6):\n",
-      "    \"\"\"The Greedy String Tiling algorithm\n",
+      "    translations = get_translations()\n",
+      "    translations.install()\n",
       "\n",
-      "    @sequence1 - the first string/sequence\n",
-      "    @sequence2 - the second string/sequence\n",
-      "    @min_match_len - minimal searching length of match\n",
-      "    \"\"\"\n",
+      "    cli = CodeplagCLI()\n",
+      "    argcomplete.autocomplete(cli)\n",
+      "    parsed_args = vars(cli.parse_args())\n",
+      "    settings_conf = read_settings_conf()\n",
+      "    set_handlers(logger, LOG_PATH, settings_conf[\"log_level\"])\n",
+      "    try:\n",
+      "        codeplag_util = CodeplagEngine(parsed_args)\n",
+      "        code = codeplag_util.run()\n",
+      "    except KeyboardInterrupt:\n",
+      "        logger.warning(\"The util stopped by keyboard interrupt.\")\n",
+      "        return 1\n",
+      "    except Exception:\n",
+      "        logger.error(\n",
+      "            \"An unexpected error occurred while running the utility. \"\n",
+      "            \"For getting more information, check file '%s'.\",\n",
+      "            LOG_PATH,\n",
+      "        )\n",
+      "        logger.debug(\"Trace:\", exc_info=True)\n",
+      "        return 2\n",
       "\n",
-      "    matches = []\n",
-      "    max_match = min_match_len + 1\n",
-      "    source_marked = []\n",
-      "    search_marked = []\n",
-      "\n",
-      "    while max_match > min_match_len:\n",
-      "        max_match = min_match_len\n",
-      "\n",
-      "        for p in range(len(sequence1)):\n",
-      "            for t in range(len(sequence2)):\n",
-      "                j = 0\n",
-      "                while (p + j) < len(sequence1) and (t + j) < len(sequence2) \\\n",
-      "                    and sequence1[p + j] == sequence2[t + j] and \\\n",
-      "                      (p + j) not in source_marked and \\\n",
-      "                      (t + j) not in search_marked:\n",
-      "                    j += 1\n",
-      "\n",
-      "                if j == max_match:\n",
-      "                    matches.append({\"p\": p, \"t\": t, \"j\": j})\n",
-      "                if j > max_match:\n",
-      "                    matches = [{\"p\": p, \"t\": t, \"j\": j}]\n",
-      "                    max_match = j\n",
-      "\n",
-      "        for match in matches:\n",
-      "            if not is_marked_match(source_marked, match[\"p\"], match[\"j\"]) \\\n",
-      "                and not is_marked_match(search_marked, match[\"t\"],\n",
-      "                                        match[\"j\"]):\n",
-      "                for k in range(match[\"j\"]):\n",
-      "                    source_marked.append(match[\"p\"] + k)\n",
-      "                    search_marked.append(match[\"t\"] + k)\n",
-      "\n",
-      "    return source_marked, search_marked\n",
+      "    return code\n",
       "\n"
      ]
     }
    ],
    "source": [
-    "print(files1[10][0])"
+    "print(files1[2][0])"
    ]
   },
   {
@@ -768,8 +730,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "https://github.com/OSLL/code-plagiarism/tree/main/src/webparsers/__init__.py\n",
-      "https://github.com/OSLL/code-plagiarism/tree/main/src/webparsers/consts.py\n"
+      "https://github.com/OSLL/code-plagiarism/tree/main/rc/webparsers/__init__.py\n",
+      "https://github.com/OSLL/code-plagiarism/tree/main/rc/webparsers/async_github_parser.py\n"
      ]
     }
    ],
@@ -778,6 +740,39 @@
     "print(files2[0][1])\n",
     "print(files2[1][1])"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ee89f44",
+   "metadata": {},
+   "source": [
+    "### Работа с Pull Requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "115970c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[PullRequest(number=4, last_commit_sha='36b53d6f2dbd3bfb244717da370cae607d72a9ef', owner='Artanias', branch='Foo_Foo_lb3', state='open', draft=False),\n",
+      " PullRequest(number=3, last_commit_sha='9af7216b9420bd4fb8f017de2893b831ec53874d', owner='Artanias', branch='Bar_Bar_lb1', state='open', draft=False),\n",
+      " PullRequest(number=2, last_commit_sha='1a816f7360422db31889e7df6872c67c43b5cc5a', owner='Artanias', branch='Bar_Foo_lb2', state='open', draft=False),\n",
+      " PullRequest(number=1, last_commit_sha='0b3c886e9fc54da3c5708248f3a4f9ea31c2d3d4', owner='Artanias', branch='Foo_Bar_lb1', state='open', draft=False)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "owner = 'Artanias'\n",
+    "repo = 'check_plag'\n",
+    "pulls = gh.get_pulls_info(owner, repo)\n",
+    "\n",
+    "pprint(pulls)"
+   ]
   }
  ],
  "metadata": {
@@ -796,7 +791,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/setup.py b/setup.py
index 1a2a378..f7d96e9 100644
--- a/setup.py
+++ b/setup.py
@@ -17,7 +17,7 @@
     "clang~=14.0.6",
     "llvmlite~=0.42.0",
     "libclang~=14.0.6",
-    "python-decouple~=3.6",
+    "python-decouple~=3.8",
     "requests~=2.31.0",
     "typing-extensions~=4.3.0",
     "aiohttp~=3.9.3",
diff --git a/src/codeplag/display.py b/src/codeplag/display.py
index 8786e89..9b85707 100644
--- a/src/codeplag/display.py
+++ b/src/codeplag/display.py
@@ -123,7 +123,7 @@ def print_suspect_parts(
             column = 1
 
         if row in ROWS:
-            print(red_bold(symbol))
+            print(red_bold(symbol), end="")
 
         column += 1
 
diff --git a/src/webparsers/async_github_parser.py b/src/webparsers/async_github_parser.py
index 0af9575..a20933a 100644
--- a/src/webparsers/async_github_parser.py
+++ b/src/webparsers/async_github_parser.py
@@ -12,7 +12,7 @@
 from uritemplate import variable
 
 from webparsers.types import (
-    Branch,
+    BranchInfo,
     Commit,
     GitHubContentUrl,
     GitHubRepoUrl,
@@ -186,8 +186,8 @@ async def _get_branch_last_commit_info(
 
         return response["commit"]
 
-    async def get_list_repo_branches(self: Self, owner: str, repo: str) -> list[Branch]:
-        branches: list[Branch] = []
+    async def get_list_repo_branches(self: Self, owner: str, repo: str) -> list[BranchInfo]:
+        branches: list[BranchInfo] = []
         url_vars = {"per_page": 100, "page": 1, "username": owner, "repo": repo}
         while True:
             response = await self.send_get_request(self.BRANCH_GET, url_vars)
@@ -198,7 +198,7 @@ async def get_list_repo_branches(self: Self, owner: str, repo: str) -> list[Bran
                 branch_name = branch_info["name"]
                 commit_info = await self.send_get_request(branch_info["commit"]["url"])
                 branches.append(
-                    Branch(
+                    BranchInfo(
                         name=branch_name,
                         last_commit=Commit(
                             commit_info["sha"],
@@ -248,7 +248,7 @@ async def get_files_generator_from_sha_commit(
         self: Self,
         owner: str,
         repo: str,
-        branch: Branch,
+        branch: BranchInfo,
         sha: str,
         path: str = "",
         path_regexp: re.Pattern | None = None,
@@ -266,7 +266,7 @@ async def get_files_generator_from_sha_commit(
                 async for file_gen in self.get_files_generator_from_sha_commit(
                     owner=owner,
                     repo=repo,
-                    branch=Branch(branch.name, commit_info),
+                    branch=BranchInfo(branch.name, commit_info),
                     sha=node["sha"],
                     path=current_path,
                     path_regexp=path_regexp,
@@ -307,7 +307,7 @@ async def get_files_generator_from_repo_url(
                 repo_url.owner, repo_url.repo, default_branch
             )
             branches = [
-                Branch(
+                BranchInfo(
                     name=default_branch,
                     last_commit=Commit(
                         commit_info["sha"],
@@ -384,7 +384,7 @@ async def get_files_generator_from_dir_url(
                 async for work_info in self.get_files_generator_from_sha_commit(
                     owner=dir_url.owner,
                     repo=dir_url.repo,
-                    branch=Branch(dir_url.branch, commit_info),
+                    branch=BranchInfo(dir_url.branch, commit_info),
                     sha=node["sha"],
                     path=current_path,
                     path_regexp=path_regexp,
diff --git a/src/webparsers/github_parser.py b/src/webparsers/github_parser.py
index 563eff9..45e446f 100644
--- a/src/webparsers/github_parser.py
+++ b/src/webparsers/github_parser.py
@@ -8,7 +8,7 @@
 from typing_extensions import Self
 
 from webparsers.types import (
-    Branch,
+    BranchInfo,
     Commit,
     Extensions,
     GitHubContentUrl,
@@ -189,7 +189,7 @@ def get_files_generator_from_sha_commit(
         self: Self,
         owner: str,
         repo: str,
-        branch: Branch,
+        branch: BranchInfo,
         sha: str,
         path: str = "",
         path_regexp: re.Pattern | None = None,
@@ -206,7 +206,7 @@ def get_files_generator_from_sha_commit(
                 yield from self.get_files_generator_from_sha_commit(
                     owner=owner,
                     repo=repo,
-                    branch=Branch(branch.name, commit_info),
+                    branch=BranchInfo(branch.name, commit_info),
                     sha=node["sha"],
                     path=current_path,
                     path_regexp=path_regexp,
@@ -223,8 +223,8 @@ def get_files_generator_from_sha_commit(
 
             yield self.get_file_content_by_sha(owner, repo, node["sha"], commit_info, full_link)
 
-    def get_list_repo_branches(self: Self, owner: str, repo: str) -> list[Branch]:
-        branches: list[Branch] = []
+    def get_list_repo_branches(self: Self, owner: str, repo: str) -> list[BranchInfo]:
+        branches: list[BranchInfo] = []
         api_url: str = f"/repos/{owner}/{repo}/branches"
         params: dict[str, int] = {"per_page": 100, "page": 1}
         while True:
@@ -233,12 +233,14 @@ def get_list_repo_branches(self: Self, owner: str, repo: str) -> list[Branch]:
             cnt = 0  # noqa: SIM113
             for node in response_json:
                 cnt += 1
-                commit_info = node["commit"]
+                branch_name = node["name"]
+                last_commit_sha = node["commit"]["sha"]
+                commit_info = self._get_branch_last_commit_info(owner, repo, branch_name)
                 branches.append(
-                    Branch(
-                        name=node["name"],
+                    BranchInfo(
+                        name=branch_name,
                         last_commit=Commit(
-                            commit_info["sha"],
+                            last_commit_sha,
                             commit_info["commit"]["author"]["date"],
                         ),
                     )
@@ -267,7 +269,7 @@ def get_files_generator_from_repo_url(
                 repo_url.owner, repo_url.repo, default_branch
             )
             branches = [
-                Branch(
+                BranchInfo(
                     name=default_branch,
                     last_commit=Commit(
                         commit_info["sha"],
@@ -331,7 +333,7 @@ def get_files_generator_from_dir_url(
                 yield from self.get_files_generator_from_sha_commit(
                     owner=dir_url.owner,
                     repo=dir_url.repo,
-                    branch=Branch(dir_url.branch, commit_info),
+                    branch=BranchInfo(dir_url.branch, commit_info),
                     sha=node["sha"],
                     path=current_path,
                     path_regexp=path_regexp,
diff --git a/src/webparsers/types.py b/src/webparsers/types.py
index 714dbca..097b909 100644
--- a/src/webparsers/types.py
+++ b/src/webparsers/types.py
@@ -73,7 +73,7 @@ class Commit(NamedTuple):
     date: str  # TODO: convert to datetime or another
 
 
-class Branch(NamedTuple):
+class BranchInfo(NamedTuple):
     name: str
     last_commit: Commit
 
diff --git a/test/unit/webparsers/test_github_parser.py b/test/unit/webparsers/test_github_parser.py
index 4d7bee8..44f0d14 100644
--- a/test/unit/webparsers/test_github_parser.py
+++ b/test/unit/webparsers/test_github_parser.py
@@ -9,7 +9,7 @@
 from typing_extensions import Self
 
 from webparsers.github_parser import GitHubParser
-from webparsers.types import Branch, Commit, PullRequest, Repository, WorkInfo
+from webparsers.types import BranchInfo, Commit, PullRequest, Repository, WorkInfo
 
 _REQUEST_PARAMS_1 = {"per_page": 100, "page": 1}
 _REQUEST_PARAMS_3 = {"per_page": 100, "page": 3}
@@ -20,8 +20,8 @@
 _COMMIT1_RESP = [{"sha": _COMMIT1.sha, "commit": {"author": {"date": _COMMIT1.date}}}]
 _COMMIT2_RESP = [{"sha": _COMMIT2.sha, "commit": {"author": {"date": _COMMIT2.date}}}]
 
-_BRANCH1: Final[Branch] = Branch("iss76", _COMMIT1)
-_BRANCH2: Final[Branch] = Branch("iss78", _COMMIT2)
+_BRANCH1: Final[BranchInfo] = BranchInfo("iss76", _COMMIT1)
+_BRANCH2: Final[BranchInfo] = BranchInfo("iss78", _COMMIT2)
 
 _GET_FILE_CONTENT_RES: Final[list[WorkInfo]] = [
     WorkInfo(
@@ -801,12 +801,25 @@ def test_get_list_repo_branches(self: Self, mock_send_get_request: MagicMock) ->
             "name": "main",
             "commit": {
                 "sha": "0928jlskdfj",
-                "commit": {"author": {"date": _COMMIT_DATE}},
             },
         }
         _BRANCH_INFO2 = {
             "name": "iss76",
-            "commit": {"sha": "kjsadfwi", "commit": {"author": {"date": _COMMIT_DATE}}},
+            "commit": {
+                "sha": "kjsadfwi",
+            },
+        }
+        _COMMIT_INFO1 = {
+            "commit": {
+                "sha": "0928jlskdfj",
+                "commit": {"author": {"date": _COMMIT_DATE}},
+            }
+        }
+        _COMMIT_INFO2 = {
+            "commit": {
+                "sha": "kjsadfwi",
+                "commit": {"author": {"date": _COMMIT_DATE}},
+            },
         }
 
         test_cases = [
@@ -817,29 +830,21 @@ def test_get_list_repo_branches(self: Self, mock_send_get_request: MagicMock) ->
                         "/repos/OSLL/aido-auto-feedback/branches",
                         params=_REQUEST_PARAMS_1,
                     ),
+                    call(
+                        "/repos/OSLL/aido-auto-feedback/branches/main",
+                    ),
+                    call(
+                        "/repos/OSLL/aido-auto-feedback/branches/iss76",
+                    ),
                 ],
                 "send_se": [
                     Response([_BRANCH_INFO1, _BRANCH_INFO2]),
+                    Response(_COMMIT_INFO1),
+                    Response(_COMMIT_INFO2),
                 ],
                 "expected_result": [
-                    Branch("main", Commit("0928jlskdfj", "2022-12-29T10:10:41Z")),
-                    Branch("iss76", Commit("kjsadfwi", "2022-12-29T10:10:41Z")),
-                ],
-            },
-            {
-                "arguments": {
-                    "owner": "moevm",
-                    "repo": "asm_web_debug",
-                },
-                "send_calls": [
-                    call("/repos/moevm/asm_web_debug/branches", params=_REQUEST_PARAMS_1),
-                ],
-                "send_se": [
-                    Response([_BRANCH_INFO1, _BRANCH_INFO2]),
-                ],
-                "expected_result": [
-                    Branch("main", Commit("0928jlskdfj", _COMMIT_DATE)),
-                    Branch("iss76", Commit("kjsadfwi", _COMMIT_DATE)),
+                    BranchInfo("main", Commit("0928jlskdfj", _COMMIT_DATE)),
+                    BranchInfo("iss76", Commit("kjsadfwi", _COMMIT_DATE)),
                 ],
             },
         ]