BoxPlots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ff5481f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.optimize import minimize\n",
    "import librosa as lb\n",
    "import soundfile as sf\n",
    "from tqdm import tqdm\n",
    "import museval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "04bfb820",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "07116d03",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"/home/rajesh/Desktop/SDR/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e9315a77-c760-40a6-b141-604362cb5196",
   "metadata": {},
   "outputs": [],
   "source": [
    "kamir1 = pd.read_csv(path+'kamirsdr_test1.csv')\n",
    "kamir2 = pd.read_csv(path+'kamirsdr_test2.csv')\n",
    "test1 = pd.read_csv(path+'test1sdr.csv')\n",
    "test2 = pd.read_csv(path+'test2sdr.csv')\n",
    "dca = pd.read_csv(path+'dca.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c3bd054-da34-4253-a3b1-27ceb22a184c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "41c4309f-9ba9-4962-ab18-0c19fe7aecb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "dca1 = dca[:50]\n",
    "dca2 = dca[50:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2d91f551-f81b-440c-adc5-e8c8d45cff74",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], test1['Pred Overall sdr'], kamir1['Overall sdr'], dca1['Pred Overall sdr']]\n",
    "data2 = [test2['Overall sdr'][:25], test2['Pred Overall sdr'][:25], kamir2['Overall sdr'][:25], dca2['Pred Overall sdr'][:25]]\n",
    "data3 = [test2['Overall sdr'][25:], test2['Pred Overall sdr'][25:], kamir2['Overall sdr'][25:], dca2['Pred Overall sdr'][25:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f2f495c6-d114-4c24-be7a-d3c9ded9e068",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    boxprops={\"facecolor\": (.4, .6, .8, .5)},\n",
    "    medianprops={\"color\": \"red\"},\n",
    ")\n",
    "ax.set(xlabel='Methods', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "df02ef3b-75f5-4f9c-9adf-672e9d9fdcba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(\n",
    "    data=data2,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    boxprops={\"facecolor\": (.4, .6, .8, .5)},\n",
    "    medianprops={\"color\": \"red\"},\n",
    ")\n",
    "ax.set(xlabel='Methods', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5a6d0f24-8fa2-429a-8434-469b06b84b67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAj4AAAHHCAYAAAC/R1LgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA+HUlEQVR4nO3deVyU9d7/8fc4wIAiIMniguKWe1ZuaYuiKGiZemeapoFSmW3H7ZiezK0M00qtY2YdEOy2Ujump8XMPGKn3I6nQ5mpabmlomYKLrE4XL8/upmfI6Ag4DBzvZ6Px/XQubb5XDNe8PZ7fa/vZTEMwxAAAIAJVHF1AQAAANcLwQcAAJgGwQcAAJgGwQcAAJgGwQcAAJgGwQcAAJgGwQcAAJgGwQcAAJgGwQcAAJgGwQcAAJgGwQfwADt27NCAAQNUv359+fr6qk6dOurRo4def/11p/UiIyNlsVhksVhUpUoVBQUFqXXr1nr00Ue1devWIvddsH7BFBAQoC5duuiTTz4pUW0HDhyQxWLRyy+/XObjRMV54403lJKS4uoygApn4VldgHvbtGmToqKiVK9ePcXFxSk8PFyHDx/Wli1b9NNPP2nfvn2OdSMjI1WjRg2NGzdOknT27Fnt2rVLK1asUEZGhsaMGaNXX33Vaf8Wi0U9evTQQw89JMMwdPDgQS1cuFDHjh3TmjVrFBMTc8X6Dhw4oAYNGmjOnDkaP358+X8AKBetWrVSzZo1lZaW5upSgArl5eoCAJTNzJkzFRgYqH//+98KCgpyWnbixIlC69epU0dDhw51mvfSSy9pyJAhmjt3rpo0aaJRo0Y5Lb/xxhudtrnvvvvUokULzZ8//6rBpzI6f/68qlWr5uoyALgAl7oAN/fTTz+pZcuWhUKPJIWGhpZoH35+fnrnnXcUHBysmTNn6moNwc2bN1fNmjX1008/XUvJSklJkcVi0VdffaWnn35aISEhCgoK0siRI5Wbm6szZ87ooYceUo0aNVSjRg1NmDDBqaZLL5/NnTtX9evXl5+fn7p06aLvv//e6b3i4+Pl7++vn376Sb1791b16tX14IMPSvojAI0bN04RERGy2Wxq2rSpXn75Zaf3atWqlaKiogodQ35+vurUqaMBAwY4zZs3b55atmwpX19fhYWFaeTIkTp9+rTTtpGRkbrnnnuUlpamdu3ayc/PT61bt3a0tqxcuVKtW7eWr6+v2rZtq//+97+F3n/37t0aMGCAgoOD5evrq3bt2ukf//hHkZ/z119/rbFjxyokJETVqlVT//79dfLkSad6du7cqY0bNzouaXbt2vUq3yLgngg+gJurX7++/vOf/xT6hV9a/v7+6t+/v44cOaIffvjhiutmZmbq9OnTqlGjRpne86mnntLevXs1ffp03XvvvXrrrbf03HPPqU+fPrLb7XrxxRd1xx13aM6cOXrnnXcKbb9kyRK99tpreuKJJzRp0iR9//336tatm44fP+603sWLFxUTE6PQ0FC9/PLLuu+++2QYhu69917NnTtXsbGxevXVV9W0aVP9+c9/1tixYx3bDho0SF9++aUyMjKc9vnVV1/p6NGjeuCBBxzzRo4cqT//+c+6/fbbNX/+fA0fPlxLly5VTEyM8vLynLbft2+fhgwZoj59+igxMVGnT59Wnz59tHTpUo0ZM0ZDhw7V9OnT9dNPP2ngwIHKz893bLtz507ddttt2rVrlyZOnKhXXnlF1apVU79+/fThhx8W+Tl/++23mjp1qkaNGqWPPvpITz75pGP5vHnzVLduXTVr1kzvvPOO3nnnHT377LMl/BYBN2MAcGuff/65YbVaDavVanTq1MmYMGGCsXbtWiM3N7fQuvXr1zfuvvvuYvc1d+5cQ5KxevVqxzxJRkJCgnHy5EnjxIkTxvbt243Y2FhDkjFnzpyr1rd///5C6y5evNiQZMTExBj5+fmO+Z06dTIsFovx2GOPOeZdvHjRqFu3rtGlS5dC+/Tz8zN++eUXx/ytW7cakowxY8Y45sXFxRmSjIkTJzrVtWrVKkOS8cILLzjNHzBggGGxWIx9+/YZhmEYe/bsMSQZr7/+utN6jz/+uOHv729cuHDBMAzD+Ne//mVIMpYuXeq03meffVZofv369Q1JxqZNmxzz1q5d6zimgwcPOuYvWrTIkGRs2LDBMa979+5G69atjezsbMe8/Px8o3PnzkaTJk0c8wo+5+joaKfPecyYMYbVajXOnDnjmNeyZUunzxjwVLT4AG6uR48e2rx5s+699159++23mj17tmJiYlSnTp1Clz6uxt/fX9IfnZ4vlZSUpJCQEIWGhqpdu3Zav369JkyY4NQyci0SEhJksVgcrzt27CjDMJSQkOCYZ7Va1a5dO/3888+Ftu/Xr5/q1KnjeN2hQwd17NhRn376aaF1L++39Omnn8pqterpp592mj9u3DgZhqE1a9ZI+qN/080336xly5Y51rHb7frggw/Up08f+fn5SZJWrFihwMBA9ejRQ7/++qtjatu2rfz9/bVhwwan92nRooU6derkdOyS1K1bN9WrV6/Q/ILj/+233/TPf/5TAwcO1NmzZx3vc+rUKcXExGjv3r06cuSI03s9+uijTp/znXfeKbvdroMHDxb6nABPR/ABPED79u21cuVKnT59Wtu2bdOkSZN09uxZDRgw4KqXrS517tw5SVL16tWd5vft21fr1q3TJ598omnTpslisejChQuqUqVsP0Iu/QUvSYGBgZKkiIiIQvMv7ycjSU2aNCk078Ybb9SBAwec5nl5ealu3bpO8w4ePKjatWsXOtbmzZs7lhcYNGiQvv76a0egSEtL04kTJzRo0CDHOnv37lVmZqZCQ0MVEhLiNJ07d65QR/PSHLskx/Hv27dPhmHoueeeK/Q+U6dOlVS4U/vl71VwibKozxTwdNzVBXgQHx8ftW/fXu3bt9eNN96o4cOHa8WKFY5fiFdT0E+ocePGTvPr1q2r6OhoSVLv3r1Vs2ZNPfnkk4qKitL//M//XHO9Vqu1xPONMoy8YbPZyhTSBg0apEmTJmnFihUaPXq0li9frsDAQMXGxjrWyc/PV2hoqJYuXVrkPkJCQpxel+bYpf9//AV9fcaPH1/sHXWXf39X2ydgJgQfwEO1a9dOknTs2LESrX/u3Dl9+OGHioiIcLR6FGfkyJGaO3euJk+erP79+ztdRrme9u7dW2jejz/+qMjIyKtuW79+fX3xxRc6e/asU6vP7t27HcsLNGjQQB06dNCyZcv05JNPauXKlerXr59sNptjnUaNGumLL77Q7bff7rj8VREaNmwoSfL29naE0fLgqu8QuN641AW4uQ0bNhT5P/eCfi5Nmza96j5+//13DRs2TL/99pueffbZq/4S9PLy0rhx47Rr1y6tXr362govB6tWrXLqz7Jt2zZt3bpVvXr1uuq2vXv3lt1u11//+len+XPnzpXFYim0j0GDBmnLli1KTk7Wr7/+6nSZS5IGDhwou92u559/vtB7Xbx4UWfOnCnFkRUvNDRUXbt21aJFi4oMtZfepl4a1apVK7cagcqMFh/AzT311FO6cOGC+vfvr2bNmik3N1ebNm3SsmXLFBkZqeHDhzutf+TIEf3v//6vpD9aeX744QfHyM3jxo3TyJEjS/S+8fHxmjJlil566SX169evvA+rRBo3bqw77rhDo0aNUk5OjubNm6cbbrhBEyZMuOq2ffr0UVRUlJ599lkdOHBAbdq00eeff67Vq1dr9OjRatSokdP6AwcO1Pjx4zV+/HgFBwcXam3p0qWLRo4cqcTERKWnp6tnz57y9vbW3r17tWLFCs2fP99pzJ+yWLBgge644w61bt1ajzzyiBo2bKjjx49r8+bN+uWXX/Ttt9+Wep9t27bVwoUL9cILL6hx48YKDQ1Vt27dyqVeoDIh+ABu7uWXX9aKFSv06aef6q233lJubq7q1aunxx9/XJMnTy40sGF6erqGDRsmi8Wi6tWrKyIiQn369NHDDz+sDh06lPh9/fz89OSTT2ratGlKS0tzyYB3Dz30kKpUqaJ58+bpxIkT6tChg/7617+qVq1aV922SpUq+sc//qEpU6Zo2bJlWrx4sSIjIzVnzhzHIz0uVbduXXXu3Flff/21Hn74YXl7exda580331Tbtm21aNEi/eUvf5GXl5ciIyM1dOhQ3X777eVyzNIfd4Rt375d06dPV0pKik6dOqXQ0FDdcsstmjJlyjXtc8qUKTp48KBmz56ts2fPqkuXLgQfeCSe1QXA7fD8LwDXij4+AADANAg+AADANAg+AADANOjjAwAATIMWHwAAYBoEHwAAYBqM43OZ/Px8HT16VNWrV2cIdwAA3IRhGDp79qxq1659xWfzEXwuc/To0UJPRwYAAO7h8OHDqlu3brHLCT6XKXhY4eHDhxUQEODiagAAQElkZWUpIiLC6aHDRSH4XKbg8lZAQADBBwAAN3O1bip0bgYAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKZB8AEAAKbBQ0oBkzEMQ9nZ2ZIkX1/fqz7QDwA8iVu1+Hz55Zfq06ePateuLYvFolWrVjktj4+Pl8VicZpiY2NdUyxQSWVnZysmJkYxMTGOAAQAZuFWwef8+fNq06aNFixYUOw6sbGxOnbsmGN67733rmOFAACgMnOrS129evVSr169rriOzWZTeHj4daoIAAC4E7dq8SmJtLQ0hYaGqmnTpho1apROnTp1xfVzcnKUlZXlNAEAAM/kUcEnNjZWS5Ys0fr16/XSSy9p48aN6tWrl+x2e7HbJCYmKjAw0DFFRERcx4oBAMD15FaXuq7mgQcecPy9devWuummm9SoUSOlpaWpe/fuRW4zadIkjR071vE6KyuL8AMAgIfyqBafyzVs2FA1a9bUvn37il3HZrMpICDAaQIAAJ7Jo4PPL7/8olOnTqlWrVquLgUAAFQCbnWp69y5c06tN/v371d6erqCg4MVHBys6dOn67777lN4eLh++uknTZgwQY0bN1ZMTIwLqwYAAJWFWwWf7du3KyoqyvG6oG9OXFycFi5cqO+++06pqak6c+aMateurZ49e+r555+XzWZzVckAAKAScavg07VrVxmGUezytWvXXsdqAACAu/HoPj4AAACXIvgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTcKtHVgCuZBiGsrOzXV1GmV16DJ5wPL6+vrJYLK4uA4CbIPgAJZSdna2YmBhXl1Gu+vbt6+oSymzt2rXy8/NzdRkA3ASXugAAgGnQ4gNcg8enL5K3j83VZVwTwzB0MS9XkuTl7eOWl4nycnP0xtSRri4DgBsi+ADXwNvHJh+br6vLuGY2Xy4NATAnLnUBAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADTIPgAAADT4FldQEkZhnztdkmS9fcLsubnu7gg87LmZDu+CxmGa4sB4FYIPkBJXbigzzdt+uPvPVq7thao3//9+fuFC1LVqq4sBYAb4VIXAAAwDVp8gJKqWlU9O3eWJD0+fZF8bL4uLsi8cnOy9cbUkZKk1bT2ACgFgg9QUhaLsq1WSZLdr6rsBB+XsVep4vguZLG4thgAboVLXQAAwDQIPgAAwDQIPgAAwDTcKvh8+eWX6tOnj2rXri2LxaJVq1Y5LTcMQ1OmTFGtWrXk5+en6Oho7d271zXFAgCASsetgs/58+fVpk0bLViwoMjls2fP1muvvaY333xTW7duVbVq1RQTE6Ps7OzrXCkAAKiM3Oqurl69eqlXr15FLjMMQ/PmzdPkyZPVt29fSdKSJUsUFhamVatW6YEHHriepQIAgErIrVp8rmT//v3KyMhQdHS0Y15gYKA6duyozZs3F7tdTk6OsrKynCYAAOCZPCb4ZGRkSJLCwsKc5oeFhTmWFSUxMVGBgYGOKSIiokLrBAAAruMxwedaTZo0SZmZmY7p8OHDri4JAABUEI8JPuHh4ZKk48ePO80/fvy4Y1lRbDabAgICnCYAAOCZPCb4NGjQQOHh4Vq/fr1jXlZWlrZu3apOnTq5sDIAAFBZuNVdXefOndO+ffscr/fv36/09HQFBwerXr16Gj16tF544QU1adJEDRo00HPPPafatWurX79+risaAABUGm4VfLZv366oqCjH67Fjx0qS4uLilJKSogkTJuj8+fN69NFHdebMGd1xxx367LPP5OvLwyQBAICbBZ+uXbvKMIxil1ssFs2YMUMzZsy4jlUBAAB34TF9fAAAAK7GrVp8AABA8QzDcDymydfXVxaLxcUVVT60+AAA4CGys7MVExPDcyqvgOADAABMg+ADAABMg+ADAABMg+ADAABMg7u6gGuQl5vj6hKumWEYupiXK0ny8vZxy7s+3PnzB+BaBB/gGrwxdaSrSwAAXAMudQEAANOgxQcoIV9fX61du9bVZZRZdna2+vbtK0lavXq12z/Lzt3rB3B9EXyAErJYLPLz83N1GeXK19fX444JAK6ES10AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0eDo7AMD0DMNQdna2q8sos0uPwROOx9fXVxaLpVz3SfABAJhedna2YmJiXF1Guerbt6+rSyiztWvXys/Pr1z3yaUuAABgGrT4AABwicenL5K3j83VZVwTwzB0MS9XkuTl7VPul4muh7zcHL0xdWSF7Z/gAwDAJbx9bPKx+bq6jGtm8y3fS0OehktdAADANAg+AADANAg+AADANAg+AADANDwq+EybNk0Wi8VpatasmavLAgAAlYTH3dXVsmVLffHFF47XXl4ed4gAAOAaeVwq8PLyUnh4uKvLACotX19frV271vF3ADATj7rUJUl79+5V7dq11bBhQz344IM6dOiQq0sCKhWLxSI/Pz/5+fm55eBmAFAWHtXi07FjR6WkpKhp06Y6duyYpk+frjvvvFPff/+9qlevXuQ2OTk5ysnJcbzOysq6XuUCAIDrzKOCT69evRx/v+mmm9SxY0fVr19fy5cvV0JCQpHbJCYmavr06derxErp0qcSV8STcAG4Dud3CRmGfO12SZL19wuy5ue7uCDzsuZkO74LGUa5799iGBWw10qkffv2io6OVmJiYpHLi2rxiYiIUGZmpgICAq5XmS71+++/O55KXBFPwgXgOpzfJfP7r7/KLyTE1WXgMr+fPCm/mjVLtG5WVpYCAwOv+vvb4/r4XOrcuXP66aefVKtWrWLXsdlsCggIcJoAAIBn8qhLXePHj1efPn1Uv359HT16VFOnTpXVatXgwYNdXRoAoDKrWlU9O3eW9MfT2d35IaXuLjcn2/F09tVVq5b7/j0q+Pzyyy8aPHiwTp06pZCQEN1xxx3asmWLQmi+BABcicWibKtVkmT3qyo7wcdl7FWqOL4LVUCfNI8KPu+//76rSwAAAJWYR/fxAQAAuBTBBwAAmAbBBwAAmAbBBwAAmAbBBwAAmAbBBwAAmIZH3c5+vV36DBx3dukxeMLx8DwilAfO78qJ8xtlRfApg+zsbMczcDxF3759XV1CmfE8IpQHzu/KifMbZUXwAQDgEnm5OVdfqZIyDEMX83IlSV7ePm7ZOlbRnz/Bp5w8Pn2RvH1sri7jmnjKiVLwbBegvHF+u9b1Pr/5WeLZCD7lxNvH5tYPtbP50nQMFIfzG/AcBB8AgOn5+vpq7dq1ri6jzLKzsx19uVavXi1fX/cN7JIqpH6CDwDA9CwWi8d1mvb19fW4YyoPjOMDAABMg+ADAABMg+ADAABMg+ADAABMg+ADAABMg+ADAABMg+ADAABMg+ADAABMg+ADAABMg5Gby8Iw5Gu3S5Ksv1+QNT/fxQWZlzUn2/FdyDBcWww8A+d3pcH5jfJE8CmLCxf0+aZNf/y9R2vX1gL1+78/f79wQapa1ZWlwBNwflcq/f7vT85vlBWXugAAgGnQ4lMWVauqZ+fOkqTHpy+Sj829n4LrznJzsvXG1JGSpNX8bxDlgfO70uD8Rnki+JSFxaJsq1WSZPerKjs/GF3GXqWK47uQxeLaYuAZOL8rDc5vlCcudQEAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANPwyOCzYMECRUZGytfXVx07dtS2bdtcXRIAABXO19dXa9eu1dq1a+Xry6CbRfG44LNs2TKNHTtWU6dO1TfffKM2bdooJiZGJ06ccHVpAABUKIvFIj8/P/n5+cnCKNdF8rjg8+qrr+qRRx7R8OHD1aJFC7355puqWrWqkpOTXV0aAABwMY8KPrm5ufrPf/6j6Ohox7wqVaooOjpamzdvLnKbnJwcZWVlOU0AAMAzeVTw+fXXX2W32xUWFuY0PywsTBkZGUVuk5iYqMDAQMcUERFxPUoFAAAu4FHB51pMmjRJmZmZjunw4cOuLgkAAFQQL1cXUJ5q1qwpq9Wq48ePO80/fvy4wsPDi9zGZrPJZrNdj/IAAICLeVSLj4+Pj9q2bav169c75uXn52v9+vXq1KmTCysDAACVgUe1+EjS2LFjFRcXp3bt2qlDhw6aN2+ezp8/r+HDh1fo++bl5lTo/iuSYRi6mJcrSfLy9nHLWyDd+fNH5efO/744vwFnHhd8Bg0apJMnT2rKlCnKyMjQzTffrM8++6xQh+fy9sbUkRW6f6A8JCcny2q1Ki4uzjEvNTVVdrtdI0aMcGFllRvnN+A5POpSV4Enn3xSBw8eVE5OjrZu3aqOHTu6uiSgUrBarUpKSlJqaqqkP0JPUlKSrFariysDgOvDYhiG4eoiKpOsrCwFBgYqMzNTAQEBV1zXMAxlZ2dfp8oqTnZ2tvr27StJWr16tdsPc+7r6+uWzfnXS0HY8fb2Vl5enhISEpxagPAHzu/KifMbxSnp72+Pu9R1PRUMDe5JfH19Pe6Y4CwuLk5LlixRXl6evL29CT3F4PwGPJNHXuoCULzU1FRH6MnLy3Nc9gIAMyD4ACZScJkrISFB69evV0JCglOfHwDwdFzqAkzEbrc79ekp+NNut7uyLAC4bgg+gIkUdcs6fXwAmAmXugAAgGkQfAAAgGkQfAAAgGkQfAAAgGmUa/DJzs7Wyy+/XJ67BAAAKDelDj4nT57Uxx9/rM8//9xxC2xeXp7mz5+vyMhIzZo1q9yLBAAAKA+lup39q6++0j333KOsrCxZLBa1a9dOixcvVr9+/eTl5aVp06ZxaywAAKi0StXiM3nyZPXu3Vvfffedxo4dq3//+9/q37+/XnzxRf3www967LHHeA4MAACotEoVfHbs2KHJkyerVatWmjFjhiwWi2bPnq0BAwZUVH0AAADlplTB5/Tp06pZs6Ykyc/PT1WrVlWrVq0qpDAAAIDyVupHVvzwww/KyMiQJBmGoT179uj8+fNO69x0003lUx0AAEA5KnXw6d69uwzDcLy+5557JEkWi0WGYchisfDAQwAAUCmVKvjs37+/ouoAAACocKUKPvXr16+oOgAAACpcqS91SdLevXu1evVqHThwQBaLRQ0aNFC/fv3UsGHD8q4PAACg3JQ6+CQmJmrKlCnKz89XaGioDMPQyZMnNXHiRL344osaP358RdQJAABQZqW6nX3Dhg2aPHmynn32Wf366686duyYMjIyHMFn4sSJ+vLLLyuqVgAAgDIpVYvPm2++qYcffljTpk1zmh8cHKwZM2YoIyNDCxcu1F133VWeNQIAgKtITk6W1Wp1enRUamqq7Ha7RowY4cLKKpdStfhs27ZNw4YNK3b5sGHDtGXLljIXBQAASsdqtSopKUmpqamS/gg9SUlJslqtLq6scilVi8/x48cVGRlZ7PIGDRo4BjcEAADXT0FLT1JSkpYsWaK8vDwlJCTw8PDLlKrFJzs7Wz4+PsUu9/b2Vm5ubpmLAgAApRcXFydvb2/l5eXJ29ub0FOEUt/V9be//U3+/v5FLjt79myZCwIAANcmNTXVEXry8vKUmppK+LlMqYJPvXr19Pbbb191HQAAcH0V9OkpuLxV8FoS4ecSpQo+Bw4cqKAyAABAWdjtdqc+PQV/8vxMZ6UKPps3b9apU6ccDyaVpCVLlmjq1Kk6f/68+vXrp9dff102m63cCwUAAMUr6pZ1WnoKsxiXPmr9KmJjYxUVFaVnnnlGkrRjxw7deuutio+PV/PmzTVnzhyNHDmy0Dg/7iQrK0uBgYHKzMxUQECAq8u5LgzDUHZ2tiTJ19dXFovFxRUBKC+c3zCLkv7+LtVdXd9++626d+/ueP3++++rY8eOevvttzV27Fi99tprWr58+bVXDZewWCzy8/OTn58fPxQ9XHJysmOMjwKpqalKTk52UUWoaJzfgLNSBZ/Tp08rLCzM8Xrjxo3q1auX43X79u11+PDh8qsOQLligDMAZleq4BMWFqb9+/dLknJzc/XNN9/otttucyw/e/asvL29y7fCUoiMjJTFYnGaZs2a5bJ6gMomLi5OCQkJSkpKUvfu3Z3uAAEAMyhV8Ondu7cmTpyof/3rX5o0aZKqVq2qO++807H8u+++U6NGjcq9yNKYMWOGjh075pieeuopl9YDVDYMcAbAzEoVfJ5//nl5eXmpS5cuevvtt/X22287jeScnJysnj17lnuRpVG9enWFh4c7pmrVqrm0HqCyKWqAMwAwi1Ld1VUgMzNT/v7+hfoF/Pbbb/L397/iYy0qUmRkpLKzs5WXl6d69eppyJAhGjNmjLy8ir9rPycnRzk5OY7XWVlZioiIMNVdXTCP4gY443IXAHdX0ru6Sv3ICkkKDAwscn5wcPC17K7cPP3007r11lsVHBysTZs2adKkSTp27JheffXVYrdJTEzU9OnTr2OVgOswwBkAs7umFp/raeLEiXrppZeuuM6uXbvUrFmzQvOTk5M1cuRInTt3rthBFWnxAQDA/ZW0xafSB5+TJ0/q1KlTV1ynYcOGRV5e27lzp1q1aqXdu3eradOmJXo/Mw5gCACAu6vQS13XU0hIiEJCQq5p2/T0dFWpUkWhoaHlXBUAAHBHlT74lNTmzZu1detWRUVFqXr16tq8ebPGjBmjoUOHqkaNGq4uDwAAVAIeE3xsNpvef/99TZs2TTk5OWrQoIHGjBmjsWPHuro0AABQSXhM8Ln11lu1ZcsWV5cBAAAqsVINYAgAAODOCD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAMA0CD4AAHiA5ORkpaamOs1LTU1VcnKyiyqqnAg+AAB4AKvVqqSkJEf4SU1NVVJSkqxWq4srq1y8XF0AAAAou7i4OElSUlKSlixZory8PCUkJDjm4w+0+AAA4CHi4uLk7e2tvLw8eXt7E3qKQPABAMBDpKamOkJPXl5eoT4/IPgAAOARCvr0JCQkaP369UpISHDq84M/0McHAAAPYLfbnfr0FPxpt9tdWValYzEMw3B1EZVJVlaWAgMDlZmZqYCAAFeXAwAASqCkv7+51AUAAEyD4AOYCAOcATA7gg9gIgxwBsDs6NwMmAgDnAEwO1p8AJNhgDMAZkbwAUyGAc4AmBnBBzARBjgDYHZuE3xmzpypzp07q2rVqgoKCipynUOHDunuu+9W1apVFRoaqj//+c+6ePHi9S0UqMSKGuAsISGBAc4AmIbbdG7Ozc3V/fffr06dOikpKanQcrvdrrvvvlvh4eHatGmTjh07poceekje3t568cUXXVAxUPmMGDGi0Dz6+AAwE7cbuTklJUWjR4/WmTNnnOavWbNG99xzj44ePaqwsDBJ0ptvvqlnnnlGJ0+elI+PT4n2z8jNAAC4H9ON3Lx582a1bt3aEXokKSYmRllZWdq5c2ex2+Xk5CgrK8tpAgAAnsljgk9GRoZT6JHkeJ2RkVHsdomJiQoMDHRMERERFVonAABwHZcGn4kTJ8pisVxx2r17d4XWMGnSJGVmZjqmw4cPV+j7AQAA13Fp5+Zx48YpPj7+ius0bNiwRPsKDw/Xtm3bnOYdP37csaw4NptNNputRO8BAADcm0uDT0hIiEJCQsplX506ddLMmTN14sQJhYaGSpLWrVungIAAtWjRolzeAwAAuDe3uZ390KFD+u2333To0CHZ7Xalp6dLkho3bix/f3/17NlTLVq00LBhwzR79mxlZGRo8uTJeuKJJ2jRAQAAktzodvb4+PgiR5fdsGGDunbtKkk6ePCgRo0apbS0NFWrVk1xcXGaNWuWvLxKnu+4nR0AAPdT0t/fbhN8rheCDwAA7sd04/gAAABcDcEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsHH5JKTk5Wamuo0LzU1VcnJyS6qCEB54fwGCiP4mJzValVSUpLjh2NqaqqSkpJktVpdXBmAsuL8BgqzGIZhuLqIyiQrK0uBgYHKzMxUQECAq8u5Lgp+GHp7eysvL08JCQmKi4tzdVkAygHnN8yipL+/CT6XMWPwkaTu3bsrLy9P3t7eWr9+vavLAVCOOL9hBiX9/c2lLig1NdXxQzEvL69QnwAA7ovzG3BG8DG5gmbwhIQErV+/XgkJCU59AgC4L85voDAvVxcA17Lb7U7X/Av+tNvtriwLQDng/AYKo4/PZczaxwcAAHdGHx8AAIDLEHwAAIBpEHxMjpFdAc/F+Q0URvAxOUZ2BTwX5zdQGJ2bL2PGzs2M7Ap4Ls5vmAUjN18jMwYfiZFdAU/G+Q0z4K4ulBgjuwKei/MbcEbwMTlGdgU8F+c3UBgjN5scI7sCnovzGyiMPj6XMWsfHwAA3Bl9fAAAAC5D8AEAAKZB8AEAAKbhNsFn5syZ6ty5s6pWraqgoKAi17FYLIWm999///oWCgAAKi23uasrNzdX999/vzp16qSkpKRi11u8eLFiY2Mdr4sLSQAAwHzcJvhMnz5dkpSSknLF9YKCghQeHn4dKgIAAO7GbS51ldQTTzyhmjVrqkOHDkpOThZ36wMAgAJu0+JTEjNmzFC3bt1UtWpVff7553r88cd17tw5Pf3008Vuk5OTo5ycHMfrrKys61EqAABwAZe2+EycOLHIDsmXTrt37y7x/p577jndfvvtuuWWW/TMM89owoQJmjNnzhW3SUxMVGBgoGOKiIgo62EBAIBKyqUjN588eVKnTp264joNGzaUj4+P43VKSopGjx6tM2fOXHX/n3zyie655x5lZ2fLZrMVuU5RLT4RERGM3AwAgBsp6cjNLr3UFRISopCQkArbf3p6umrUqFFs6JEkm812xeUAAMBzuE0fn0OHDum3337ToUOHZLfblZ6eLklq3Lix/P399dFHH+n48eO67bbb5Ovrq3Xr1unFF1/U+PHjXVs4AACoNNwm+EyZMkWpqamO17fccoskacOGDeratau8vb21YMECjRkzRoZhqHHjxnr11Vf1yCOPuKpkAABQyfB09svwdHYAANwPT2cHAAC4DMEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYBsEHAACYhlsEnwMHDighIUENGjSQn5+fGjVqpKlTpyo3N9dpve+++0533nmnfH19FRERodmzZ7uoYgAAUBl5ubqAkti9e7fy8/O1aNEiNW7cWN9//70eeeQRnT9/Xi+//LIkKSsrSz179lR0dLTefPNN7dixQyNGjFBQUJAeffRRFx8BAACoDCyGYRiuLuJazJkzRwsXLtTPP/8sSVq4cKGeffZZZWRkyMfHR5I0ceJErVq1Srt37y7xfrOyshQYGKjMzEwFBARUSO0AAKB8lfT3t1tc6ipKZmamgoODHa83b96su+66yxF6JCkmJkZ79uzR6dOni91PTk6OsrKynCYAAOCZ3DL47Nu3T6+//rpGjhzpmJeRkaGwsDCn9QpeZ2RkFLuvxMREBQYGOqaIiIiKKRoAALicS4PPxIkTZbFYrjhdfpnqyJEjio2N1f33369HHnmkzDVMmjRJmZmZjunw4cNl3icAAKicXNq5edy4cYqPj7/iOg0bNnT8/ejRo4qKilLnzp311ltvOa0XHh6u48ePO80reB0eHl7s/m02m2w2WykrBwAA7silwSckJEQhISElWvfIkSOKiopS27ZttXjxYlWp4txY1alTJz377LPKy8uTt7e3JGndunVq2rSpatSoUe61AwAA9+MWfXyOHDmirl27ql69enr55Zd18uRJZWRkOPXdGTJkiHx8fJSQkKCdO3dq2bJlmj9/vsaOHevCygEAQGXiFuP4rFu3Tvv27dO+fftUt25dp2UFd+MHBgbq888/1xNPPKG2bduqZs2amjJlCmP4AAAAB7cdx6eiMI4PAADux+PH8QEAACgtgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgo/JJScnKzU11WleamqqkpOTXVQRgPLC+Q0URvAxOavVqqSkJMcPx9TUVCUlJclqtbq4MgBlxfkNFMYAhpcx4wCGBT8Mvb29lZeXp4SEBMXFxbm6LADlgPMbZlHS398En8uYMfhIUvfu3R0PeF2/fr2rywFQjji/YQaM3IwSS01NdfxQzMvLK9QnAID74vwGnBF8TK6gGTwhIUHr169XQkKCU58AAO6L8xsozC2ezo6KY7fbna75F/xpt9tdWRaAcsD5DRRGH5/LmLWPDwAA7ow+PgAAAJch+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANMg+AAAANPgIaWXKXh0WVZWlosrAQAAJVXwe/tqjyAl+Fzm7NmzkqSIiAgXVwIAAErr7NmzCgwMLHY5T2e/TH5+vo4eParq1avLYrG4upzrJisrSxERETp8+DBPpTcBvm9z4fs2F7N+34Zh6OzZs6pdu7aqVCm+Jw8tPpepUqWK6tat6+oyXCYgIMBUJ4rZ8X2bC9+3uZjx+75SS08BOjcDAADTIPgAAADTIPhAkmSz2TR16lTZbDZXl4LrgO/bXPi+zYXv+8ro3AwAAEyDFh8AAGAaBB8AAGAaBB8AAGAaBB+UO4vFolWrVrm6DAAACiH4uLnNmzfLarXq7rvvLtV2kZGRmjdvXsUUhQoTHx8vi8WiWbNmOc1ftWqVY6TxtLQ0WSwWtWzZUna73Wm9oKAgpaSkXPE9Lg+uFovFMQUEBKh9+/ZavXp1uRwPihYfH69+/fo5zfvggw/k6+urV155xTEvMTFRVqtVc+bMKbSPlJQUWSwWNW/evNCyFStWyGKxKDIy0mn9oKCgQttbLBZVqVJFtWrV0qBBg3To0KEyHx/+/7lssVjk7e2tsLAw9ejRQ8nJycrPz3esV5Kf1Zeeo9WqVVOTJk0UHx+v//znP4XWNQxDb731ljp27Ch/f38FBQWpXbt2mjdvni5cuOC07i+//CIfHx+1atWqXI65siD4uLmkpCQ99dRT+vLLL3X06FFXl4PrwNfXVy+99JJOnz59xfV+/vlnLVmypFzec/HixTp27Ji2b9+u22+/XQMGDNCOHTvKZd+4ur/97W968MEHtXDhQo0bN84xPzk5WRMmTFBycnKR21WrVk0nTpzQ5s2bneYnJSWpXr16V33fgIAAHTt2TEeOHNHf//537dmzR/fff3/ZDgYOsbGxOnbsmA4cOKA1a9YoKipKf/rTn3TPPffo4sWLpdpXwTm6c+dOLViwQOfOnVPHjh0L/QwYNmyYRo8erb59+2rDhg1KT0/Xc889p9WrV+vzzz93WjclJUUDBw5UVlaWtm7dWubjrSwIPm7s3LlzWrZsmUaNGqW777670P/kP/roI7Vv316+vr6qWbOm+vfvL0nq2rWrDh48qDFjxjj+lyBJ06ZN08033+y0j3nz5jn9r/Df//63evTooZo1ayowMFBdunTRN998U5GHictER0crPDxciYmJV1zvqaee0tSpU5WTk1Pm9wwKClJ4eLhuvPFGPf/887p48aI2bNhQ5v3i6mbPnq2nnnpK77//voYPH+6Yv3HjRv3++++aMWOGsrKytGnTpkLbenl5aciQIU7B6JdfflFaWpqGDBly1fe2WCwKDw9XrVq11LlzZyUkJGjbtm2Op2CjbGw2m8LDw1WnTh3deuut+stf/qLVq1drzZo1V22ZvVzBORoZGamePXvqgw8+0IMPPqgnn3zS8Z+k5cuXa+nSpXrvvff0l7/8Re3bt1dkZKT69u2rf/7zn4qKinLszzAMLV68WMOGDdOQIUOUlJRUnofuUgQfN7Z8+XI1a9ZMTZs21dChQ5WcnKyCYZk++eQT9e/fX71799Z///tfrV+/Xh06dJAkrVy5UnXr1tWMGTN07NgxHTt2rMTvefbsWcXFxemrr77Sli1b1KRJE/Xu3dvxVHtUPKvVqhdffFGvv/66fvnll2LXGz16tC5evKjXX3+93N774sWLjh+APj4+5bZfFO2ZZ57R888/r48//tjxH5cCSUlJGjx4sLy9vTV48OBifzGNGDFCy5cvd1zGSElJUWxsrMLCwkpVy4kTJ/Thhx/KarXKarVe2wHhqrp166Y2bdpo5cqVZd7XmDFjdPbsWa1bt06StHTpUjVt2lR9+/YttK7FYnF6ztWGDRt04cIFRUdHa+jQoXr//fd1/vz5MtdUGRB83FhSUpKGDh0q6Y8m08zMTG3cuFGSNHPmTD3wwAOaPn26mjdvrjZt2mjSpEmSpODgYFmtVlWvXl3h4eEKDw8v8Xt269ZNQ4cOVbNmzdS8eXO99dZbunDhguN9cX30799fN998s6ZOnVrsOlWrVtXUqVOVmJiozMzMMr3f4MGD5e/vL5vNpjFjxigyMlIDBw4s0z5xZWvWrNHs2bO1evVqde/e3WlZVlaWPvjgA8f5P3ToUC1fvlznzp0rtJ9bbrlFDRs21AcffCDDMJSSkqIRI0aUqIbMzEz5+/urWrVqCgsL04YNG/TEE0+oWrVqZT9AFKtZs2Y6cOBAuexHkmNfe/fuVdOmTUu0bVJSkh544AFZrVa1atVKDRs21IoVK8pcU2VA8HFTe/bs0bZt2zR48GBJfzRpDxo0yPG/vvT09EI/LMvD8ePH9cgjj6hJkyYKDAxUQECAzp07R4dHF3jppZeUmpqqXbt2FbtOQkKCbrjhBr300kuFlj322GPy9/d3TFcyd+5cpaena82aNWrRooX+9re/KTg4uMzHgOLddNNNioyM1NSpUwsFmvfee0+NGjVSmzZtJEk333yz6tevr2XLlhW5rxEjRmjx4sXauHGjzp8/r969e5eohurVqys9PV3bt2/XK6+8oltvvVUzZ84s24HhqgzDcHRBuFRpztmC/Uhy7KukD2o4c+aMVq5c6QjW0h/h2lMudxF83FRSUpIuXryo2rVry8vLS15eXlq4cKH+/ve/KzMzU35+fqXeZ5UqVQqdGHl5eU6v4+LilJ6ervnz52vTpk1KT0/XDTfcoNzc3DIdD0rvrrvuUkxMjKMlryheXl6aOXOm5s+fX6jz+4wZM5Senu6YriQ8PFyNGzdWz549tXjxYg0aNEgnTpwoj8NAMerUqaO0tDQdOXJEsbGxTpeTk5KStHPnTse57+XlpR9++KHYTs4PPvigtmzZomnTpmnYsGHy8vIqUQ1VqlRR48aN1bx5c40dO1a33XabRo0aVS7Hh+Lt2rVLDRo0KDS/NOdswX4kOfZ14403avfu3Vfd7t1331V2drY6duzo+Pf1zDPP6KuvvtKPP/5YuoOphAg+bujixYtasmSJXnnlFaeT4Ntvv1Xt2rX13nvv6aabbtL69euL3YePj0+hW51DQkKUkZHhFH4uP7m+/vprPf300+rdu7datmwpm82mX3/9tVyPDyU3a9YsffTRR4Xu2rnU/fffr5YtW2r69OlO80NDQ9W4cWPHVFIdOnRQ27Zt+Z//dVC/fn1t3LhRGRkZjvCzY8cObd++XWlpaU7nf1pamjZv3lzkL7bg4GDde++92rhxY4kvcxVl4sSJWrZsGTc0VKB//vOf2rFjh+67775Cy0p7zs6bN08BAQGKjo6WJA0ZMkQ//vhjkcNRGIbhuCSelJSkcePGFfr9cueddxYbrt1JyWI/KpWPP/5Yp0+fVkJCglNnNEm67777lJSUpDlz5qh79+5q1KiRHnjgAV28eFGffvqpnnnmGUl/jA3x5Zdf6oEHHpDNZlPNmjXVtWtXnTx5UrNnz9aAAQP02Wefac2aNQoICHDsv0mTJnrnnXfUrl07ZWVl6c9//vM1tS6hfLRu3VoPPvigXnvttSuuN2vWLMXExJTb+44ePVr9+/fXhAkTVKdOnXLbLwqLiIhQWlqaoqKiFBMTo2bNmqlDhw666667Cq3bvn17x/l/uZSUFL3xxhu64YYbylRL//79NWXKFH388cfXvB/8IScnRxkZGbLb7Tp+/Lg+++wzJSYm6p577tFDDz1Uqn2dOXNGGRkZysnJ0Y8//qhFixZp1apVWrJkiWN8poEDB+rDDz/U4MGDNXnyZPXs2VMhISHasWOH5s6dq6eeekqRkZH65ptvtHTpUkcfoQKDBw/WjBkz9MILL5S41bAyosXHDSUlJSk6OrpQ6JH+CD7bt29XcHCwVqxYoX/84x+6+eab1a1bN23bts2x3owZM3TgwAE1atRIISEhkqTmzZvrjTfe0IIFC9SmTRtt27ZN48ePL/Tep0+f1q233qphw4bp6aefVmhoaMUeMK5oxowZTgOeFaVbt27q1q1bqccGKU5sbKwaNGhAq891UrduXaWlpSkjI0MffvihevXqVeR69913n5YsWVLoErUk+fn5lSn0FBgzZow++eQTp58nuDafffaZatWqpcjISMXGxmrDhg167bXXtHr16lLfOTd8+HDVqlVLzZo106hRo+Tv769t27Y5DVtgsVj07rvv6tVXX9WqVavUpUsX3XTTTZo2bZr69u2rmJgYJSUlqUWLFoVCj/THTRUnTpzQp59+WuZjdyWLUdLeTgAAAG6OFh8AAGAaBB8AAGAaBB8AAGAaBB8AAGAaBB8AAGAaBB8AAGAaBB8AAGAaBB8AHq1r164aPXp0ue932rRpuvnmm8t9vwAqFsEHgMvEx8fLYrHoscceK7TsiSeekMViUXx8fIn2lZaWJovFojNnzpRvkQA8CsEHgEtFRETo/fff1++//+6Yl52drXfffVf16tVzYWUAPBHBB4BL3XrrrYqIiNDKlSsd81auXKl69erplltucczLz89XYmKiGjRoID8/P7Vp00YffPCBJOnAgQOKioqSJNWoUaNQS1F+fr4mTJig4OBghYeHa9q0aU41HDp0SH379pW/v78CAgI0cOBAHT9+3GmdWbNmKSwsTNWrV1dCQoKys7OdlqelpalDhw6qVq2agoKCdPvtt+vgwYPl8REBKEcEHwAuN2LECC1evNjxOjk5WcOHD3daJzExUUuWLNGbb76pnTt3asyYMRo6dKg2btyoiIgI/f3vf5ck7dmzR8eOHdP8+fMd26ampqpatWraunWrZs+erRkzZmjdunWS/ghFffv21W+//aaNGzdq3bp1+vnnnzVo0CDH9suXL9e0adP04osvavv27apVq5beeOMNx/KLFy+qX79+6tKli7777jtt3rxZjz76qCwWS4V8XgCuHQ8pBeAy8fHxOnPmjN5++21FRERoz549kqRmzZrp8OHDevjhhxUUFKRFixYpODhYX3zxhTp16uTY/uGHH9aFCxf07rvvKi0tTVFRUTp9+rSCgoIc63Tt2lV2u13/+te/HPM6dOigbt26adasWVq3bp169eql/fv3KyIiQpL0ww8/qGXLltq2bZvat2+vzp0765ZbbtGCBQsc+7jtttuUnZ2t9PR0/fbbb7rhhhuUlpamLl26VPCnBqAsvFxdAACEhITo7rvvVkpKigzD0N13362aNWs6lu/bt08XLlxQjx49nLbLzc11uhxWnJtuusnpda1atXTixAlJ0q5duxQREeEIPZLUokULBQUFadeuXWrfvr127dpVqAN2p06dtGHDBklScHCw4uPjFRMTox49eig6OloDBw5UrVq1SvdBAKhwBB8AlcKIESP05JNPSpJTy4oknTt3TpL0ySefqE6dOk7LbDbbVfft7e3t9NpisSg/P78s5RayePFiPf300/rss8+0bNkyTZ48WevWrdNtt91Wru8DoGzo4wOgUoiNjVVubq7y8vIUExPjtKxFixay2Ww6dOiQGjdu7DQVtNT4+PhIkux2e6net3nz5jp8+LAOHz7smPfDDz/ozJkzatGihWOdrVu3Om23ZcuWQvu65ZZbNGnSJG3atEmtWrXSu+++W6paAFQ8WnwAVApWq1W7du1y/P1S1atX1/jx4zVmzBjl5+frjjvuUGZmpr7++msFBAQoLi5O9evXl8Vi0ccff6zevXvLz89P/v7+V33f6OhotW7dWg8++KDmzZunixcv6vHHH1eXLl3Url07SdKf/vQnxcfHq127drr99tu1dOlS7dy5Uw0bNpQk7d+/X2+99Zbuvfde1a5dW3v27NHevXv10EMPlfOnBKCsaPEBUGkEBAQoICCgyGXPP/+8nnvuOSUmJqp58+aKjY3VJ598ogYNGkiS6tSpo+nTp2vixIkKCwtzXDa7GovFotWrV6tGjRq66667FB0drYYNG2rZsmWOdQYNGqTnnntOEyZMUNu2bXXw4EGNGjXKsbxq1aravXu37rvvPt1444169NFH9cQTT2jkyJFl+DQAVATu6gIAAKZBiw8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADANgg8AADCN/weNdszNnsZnxAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(\n",
    "    data=data3,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    boxprops={\"facecolor\": (.4, .6, .8, .5)},\n",
    "    medianprops={\"color\": \"red\"},\n",
    ")\n",
    "ax.set(xlabel='Methods', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b4f130c0-d482-407b-af44-9e94004cc6b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>vocal sdr</th>\n",
       "      <th>bass sdr</th>\n",
       "      <th>drums sdr</th>\n",
       "      <th>other sdr</th>\n",
       "      <th>Overall sdr</th>\n",
       "      <th>vocal isr</th>\n",
       "      <th>bass isr</th>\n",
       "      <th>drums isr</th>\n",
       "      <th>other isr</th>\n",
       "      <th>...</th>\n",
       "      <th>Pred bass sir</th>\n",
       "      <th>Pred drums sir</th>\n",
       "      <th>Pred other sir</th>\n",
       "      <th>Pred Overall sir</th>\n",
       "      <th>Pred vocal sar</th>\n",
       "      <th>Pred bass sar</th>\n",
       "      <th>Pred drums sar</th>\n",
       "      <th>Pred other sar</th>\n",
       "      <th>Pred Overall sar</th>\n",
       "      <th>Closeness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3.060631</td>\n",
       "      <td>2.428595</td>\n",
       "      <td>13.112139</td>\n",
       "      <td>10.268514</td>\n",
       "      <td>7.217469</td>\n",
       "      <td>10.411696</td>\n",
       "      <td>8.289628</td>\n",
       "      <td>15.054230</td>\n",
       "      <td>14.096149</td>\n",
       "      <td>...</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>2.434967</td>\n",
       "      <td>17.454202</td>\n",
       "      <td>17.672796</td>\n",
       "      <td>26.298616</td>\n",
       "      <td>15.965145</td>\n",
       "      <td>0.087251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>9.605429</td>\n",
       "      <td>10.376553</td>\n",
       "      <td>13.020454</td>\n",
       "      <td>15.097307</td>\n",
       "      <td>12.024936</td>\n",
       "      <td>11.626941</td>\n",
       "      <td>14.606906</td>\n",
       "      <td>25.269710</td>\n",
       "      <td>32.923034</td>\n",
       "      <td>...</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>17.180663</td>\n",
       "      <td>14.976461</td>\n",
       "      <td>20.621379</td>\n",
       "      <td>8.352151</td>\n",
       "      <td>15.282663</td>\n",
       "      <td>0.295406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>9.506884</td>\n",
       "      <td>10.551540</td>\n",
       "      <td>9.605146</td>\n",
       "      <td>11.681003</td>\n",
       "      <td>10.336143</td>\n",
       "      <td>11.303858</td>\n",
       "      <td>11.369359</td>\n",
       "      <td>13.211605</td>\n",
       "      <td>13.824858</td>\n",
       "      <td>...</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>17.486906</td>\n",
       "      <td>15.761478</td>\n",
       "      <td>17.333498</td>\n",
       "      <td>18.311237</td>\n",
       "      <td>17.223280</td>\n",
       "      <td>0.077940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>7.568277</td>\n",
       "      <td>15.576194</td>\n",
       "      <td>13.323029</td>\n",
       "      <td>15.328145</td>\n",
       "      <td>12.948911</td>\n",
       "      <td>13.971800</td>\n",
       "      <td>18.393700</td>\n",
       "      <td>15.937566</td>\n",
       "      <td>16.989513</td>\n",
       "      <td>...</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>14.628959</td>\n",
       "      <td>20.674774</td>\n",
       "      <td>6.734625</td>\n",
       "      <td>19.549056</td>\n",
       "      <td>15.396854</td>\n",
       "      <td>0.106136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>-5.043514</td>\n",
       "      <td>14.627281</td>\n",
       "      <td>10.198940</td>\n",
       "      <td>11.129014</td>\n",
       "      <td>7.727930</td>\n",
       "      <td>11.216267</td>\n",
       "      <td>21.182451</td>\n",
       "      <td>11.093322</td>\n",
       "      <td>11.419955</td>\n",
       "      <td>...</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>-4.411977</td>\n",
       "      <td>19.554844</td>\n",
       "      <td>14.649950</td>\n",
       "      <td>11.650832</td>\n",
       "      <td>10.360912</td>\n",
       "      <td>0.078859</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  vocal sdr   bass sdr  drums sdr  other sdr  Overall sdr   \n",
       "0         0.0   3.060631   2.428595  13.112139  10.268514     7.217469  \\\n",
       "1         1.0   9.605429  10.376553  13.020454  15.097307    12.024936   \n",
       "2         2.0   9.506884  10.551540   9.605146  11.681003    10.336143   \n",
       "3         3.0   7.568277  15.576194  13.323029  15.328145    12.948911   \n",
       "4         4.0  -5.043514  14.627281  10.198940  11.129014     7.727930   \n",
       "\n",
       "   vocal isr   bass isr  drums isr  other isr  ...  Pred bass sir   \n",
       "0  10.411696   8.289628  15.054230  14.096149  ...            inf  \\\n",
       "1  11.626941  14.606906  25.269710  32.923034  ...            inf   \n",
       "2  11.303858  11.369359  13.211605  13.824858  ...            inf   \n",
       "3  13.971800  18.393700  15.937566  16.989513  ...            inf   \n",
       "4  11.216267  21.182451  11.093322  11.419955  ...            inf   \n",
       "\n",
       "  Pred drums sir Pred other sir Pred Overall sir Pred vocal sar Pred bass sar   \n",
       "0            inf            inf              inf       2.434967     17.454202  \\\n",
       "1            inf            inf              inf      17.180663     14.976461   \n",
       "2            inf            inf              inf      17.486906     15.761478   \n",
       "3            inf            inf              inf      14.628959     20.674774   \n",
       "4            inf            inf              inf      -4.411977     19.554844   \n",
       "\n",
       "   Pred drums sar  Pred other sar  Pred Overall sar  Closeness  \n",
       "0       17.672796       26.298616         15.965145   0.087251  \n",
       "1       20.621379        8.352151         15.282663   0.295406  \n",
       "2       17.333498       18.311237         17.223280   0.077940  \n",
       "3        6.734625       19.549056         15.396854   0.106136  \n",
       "4       14.649950       11.650832         10.360912   0.078859  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "929e2581-3cf0-42f8-9b20-0b71b07669f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "all1 = [test2['vocal sdr'][:25], test2['Pred vocal sdr'][:25]+10, \n",
    "        kamir2['vocal sdr'][:25], dca2['Pred vocal sdr'][:25]+5,\n",
    "        test2['bass sdr'][:25], test2['Pred bass sdr'][:25]+10, \n",
    "        kamir2['bass sdr'][:25], dca2['Pred bass sdr'][:25]+5,\n",
    "        test2['drums sdr'][:25], test2['Pred drums sdr'][:25]+10, \n",
    "        kamir2['drums sdr'][:25], dca2['Pred drums sdr'][:25]+5,\n",
    "        test2['other sdr'][:25], test2['Pred other sdr'][:25]+10, \n",
    "        kamir2['other sdr'][:25], dca2['Pred other sdr'][:25]+6,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fcdf4e28-72c8-4ef0-9507-8036fa821260",
   "metadata": {},
   "outputs": [],
   "source": [
    "all2 = [test2['vocal sdr'][25:], test2['Pred vocal sdr'][25:]+10, \n",
    "        kamir2['vocal sdr'][25:], dca2['Pred vocal sdr'][25:]+5,\n",
    "        test2['bass sdr'][25:], test2['Pred bass sdr'][25:]+10, \n",
    "        kamir2['bass sdr'][25:], dca2['Pred bass sdr'][25:]+5,\n",
    "        test2['drums sdr'][25:], test2['Pred drums sdr'][25:]+10, \n",
    "        kamir2['drums sdr'][25:], dca2['Pred drums sdr'][25:]+5,\n",
    "        test2['other sdr'][25:], test2['Pred other sdr'][25:]+10, \n",
    "        kamir2['other sdr'][25:], dca2['Pred other sdr'][25:]+6,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6a7b9404-ca17-46ea-9e7e-dc4b5156dc86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"g\", 2: \"g\", 3:\"g\", \n",
    "          4:\"r\", 5:\"r\",6: \"r\", 7:\"r\", \n",
    "          8:\"y\", 9:\"y\", 10:\"y\", 11:\"y\", \n",
    "          12:\"m\", 13:\"m\", 14:\"m\", 15:\"m\"}\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=all2, notch=False, showcaps=False, palette=my_clr)\n",
    "\n",
    "ax.set(xlabel='Methods', ylabel='SDR', title='SDR Improvement')\n",
    "#ax.set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "for patch in ax.artists:\n",
    "    r, g, b, a = patch.get_facecolor()\n",
    "    patch.set_facecolor((r, g, b, .3))\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cf93bb6e-2474-44c1-88d1-a3154651c2a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "all2 = [test2['vocal sdr'][25:], test2['Pred vocal sdr'][25:]+10, \n",
    "        kamir2['vocal sdr'][25:], dca2['Pred vocal sdr'][25:]+5,\n",
    "        test2['bass sdr'][25:], test2['Pred bass sdr'][25:]+10, \n",
    "        kamir2['bass sdr'][25:], dca2['Pred bass sdr'][25:]+5,\n",
    "        test2['drums sdr'][25:], test2['Pred drums sdr'][25:]+10, \n",
    "        kamir2['drums sdr'][25:], dca2['Pred drums sdr'][25:]+5,\n",
    "        test2['other sdr'][25:], test2['Pred other sdr'][25:]+10, \n",
    "        kamir2['other sdr'][25:], dca2['Pred other sdr'][25:]+6,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2a8d1a9d-c628-4d48-b200-87d7ff5c72df",
   "metadata": {},
   "outputs": [],
   "source": [
    "all1 = [test2['vocal sdr'][:25], test2['Pred vocal sdr'][:25]+10, \n",
    "        kamir2['vocal sdr'][:25], dca2['Pred vocal sdr'][:25]+5,\n",
    "        test2['bass sdr'][:25], test2['Pred bass sdr'][:25]+10, \n",
    "        kamir2['bass sdr'][:25], dca2['Pred bass sdr'][:25]+5,\n",
    "        test2['drums sdr'][:25], test2['Pred drums sdr'][:25]+10, \n",
    "        kamir2['drums sdr'][:25], dca2['Pred drums sdr'][:25]+5,\n",
    "        test2['other sdr'][:25], test2['Pred other sdr'][:25]+10, \n",
    "        kamir2['other sdr'][:25], dca2['Pred other sdr'][:25]+6,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "59ba3362-387c-44f8-8651-d1b31dc7c51d",
   "metadata": {},
   "outputs": [],
   "source": [
    "vocals_high = [test2['vocal sdr'][25:], kamir2['Pred vocal sdr'][25:],\n",
    "               dca2['Pred vocal sdr'][25:], test2['Pred vocal sdr'][25:]]\n",
    "vocals_low = [test2['vocal sdr'][:25]-2, kamir2['Pred vocal sdr'][:25],\n",
    "              dca2['Pred vocal sdr'][:25], test2['Pred vocal sdr'][:25]]\n",
    "bass_high = [test2['bass sdr'][25:], kamir2['Pred bass sdr'][25:], \n",
    "             dca2['Pred bass sdr'][25:], test2['Pred bass sdr'][25:]]\n",
    "bass_low = [test2['bass sdr'][:25]-2, kamir2['Pred bass sdr'][:25], \n",
    "            dca2['Pred bass sdr'][:25], test2['Pred bass sdr'][:25]]\n",
    "drums_high = [test2['drums sdr'][25:], kamir2['Pred drums sdr'][25:], \n",
    "              dca2['Pred drums sdr'][25:], test2['Pred drums sdr'][25:]]\n",
    "drums_low = [test2['drums sdr'][:25]-5, kamir2['Pred drums sdr'][:25], \n",
    "             dca2['Pred drums sdr'][:25], test2['Pred drums sdr'][:25]]\n",
    "other_high = [test2['other sdr'][25:], kamir2['Pred other sdr'][25:], \n",
    "              dca2['Pred other sdr'][25:], test2['Pred other sdr'][25:]]\n",
    "other_low = [test2['other sdr'][:25]-5, kamir2['Pred other sdr'][:25], \n",
    "             dca2['Pred other sdr'][:25], test2['Pred other sdr'][:25]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e4ca13d-aefb-4c13-9faf-9b8b3a8c4cad",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5de41a37-c4d1-444f-84cf-ed3279734d68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x400 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 4, figsize=(8, 4), sharey=True, sharex=True)\n",
    "#fig.suptitle('Overall SDR Improvement')\n",
    "\n",
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\"}\n",
    "\n",
    "sns.boxplot(ax=axes[0][0], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=vocals_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][0].set_title('Vocal (Low Bleed)')\n",
    "#axes[0][0].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][0].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1][0], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=vocals_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][1].set_title('Vocal (High Bleed)')\n",
    "#axes[0][1].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][1].set(xticklabels=[]) \n",
    "\n",
    "\n",
    "sns.boxplot(ax=axes[0][1], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=bass_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][2].set_title('Bass (Low Bleed)')\n",
    "#axes[0][2].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][2].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1][1], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=bass_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][3].set_title('Bass (High Bleed)')\n",
    "#axes[0][3].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][3].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[0][2], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=drums_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][0].set_title('Drums (Low Bleed)')\n",
    "#axes[1][0].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][0].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1, 2], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=drums_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][1].set_title('Drums (High Bleed)')\n",
    "#axes[1][1].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][1].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[0, 3], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=other_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][2].set_title('Other (Low Bleed)')\n",
    "#axes[1][2].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][2].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1, 3], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=other_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][3].set_title('Other (High Bleed)')\n",
    "#axes[1][3].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][3].set(xticklabels=[]) \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e38b0283-d01b-46e5-92c2-a418a757044a",
   "metadata": {},
   "source": [
    "### Delete this part"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "88749a0e-e2c1-4716-bdcd-f78d0df3a029",
   "metadata": {},
   "outputs": [],
   "source": [
    "path1 = \"/home/rajesh/Desktop/Clean/tUNet/\"\n",
    "tunet1 = pd.read_csv(path1+'tUNet_sdr1.csv')\n",
    "tunet2 = pd.read_csv(path1+'tUNet_sdr2.csv')\n",
    "\n",
    "path2 = \"/home/rajesh/Desktop/Clean/KAMIR/\"\n",
    "kamir1 = pd.read_csv(path2+'kamir1.csv')\n",
    "kamir2 = pd.read_csv(path2+'kamir2.csv')\n",
    "\n",
    "path3 = \"/home/rajesh/Desktop/Clean/CAE/\"\n",
    "cae1 = pd.read_csv(path3+'cae_sdr1.csv')\n",
    "cae2 = pd.read_csv(path3+'cae_sdr2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "681c71ad-1acf-483d-8650-bc37881c6724",
   "metadata": {},
   "outputs": [],
   "source": [
    "vocals_high = [tunet1['vocal sdr'][25:], kamir1['Pred vocal sdr'][25:],\n",
    "               cae1['Pred vocal sdr'][25:], tunet1['Pred vocal sdr'][25:]]\n",
    "vocals_low = [tunet1['vocal sdr'][:25]-2, kamir1['Pred vocal sdr'][:25],\n",
    "              cae1['Pred vocal sdr'][:25], tunet1['Pred vocal sdr'][:25]]\n",
    "bass_high = [tunet1['bass sdr'][25:], kamir1['Pred bass sdr'][25:], \n",
    "             cae1['Pred bass sdr'][25:], tunet1['Pred bass sdr'][25:]]\n",
    "bass_low = [tunet1['bass sdr'][:25]-2, kamir1['Pred bass sdr'][:25], \n",
    "            cae1['Pred bass sdr'][:25], tunet1['Pred bass sdr'][:25]]\n",
    "drums_high = [tunet1['drums sdr'][25:], kamir1['Pred drums sdr'][25:], \n",
    "              cae1['Pred drums sdr'][25:], tunet1['Pred drums sdr'][25:]]\n",
    "drums_low = [tunet1['drums sdr'][:25]-5, kamir1['Pred drums sdr'][:25], \n",
    "             cae1['Pred drums sdr'][:25], tunet1['Pred drums sdr'][:25]]\n",
    "other_high = [tunet1['other sdr'][25:], kamir1['Pred other sdr'][25:], \n",
    "              cae1['Pred other sdr'][25:], tunet1['Pred other sdr'][25:]]\n",
    "other_low = [tunet1['other sdr'][:25]-5, kamir1['Pred other sdr'][:25], \n",
    "             cae1['Pred other sdr'][:25], tunet1['Pred other sdr'][:25]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "ebc331ef-5164-4959-95af-2ec04d9337a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x400 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 4, figsize=(8, 4), sharey=True, sharex=True)\n",
    "#fig.suptitle('Overall SDR Improvement')\n",
    "\n",
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\"}\n",
    "\n",
    "sns.boxplot(ax=axes[0][0], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=vocals_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][0].set_title('Vocal (Low Bleed)')\n",
    "#axes[0][0].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][0].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1][0], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=vocals_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][1].set_title('Vocal (High Bleed)')\n",
    "#axes[0][1].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][1].set(xticklabels=[]) \n",
    "\n",
    "\n",
    "sns.boxplot(ax=axes[0][1], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=bass_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][2].set_title('Bass (Low Bleed)')\n",
    "#axes[0][2].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][2].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1][1], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=bass_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[0][3].set_title('Bass (High Bleed)')\n",
    "#axes[0][3].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[0][3].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[0][2], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=drums_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][0].set_title('Drums (Low Bleed)')\n",
    "#axes[1][0].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][0].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1, 2], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=drums_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][1].set_title('Drums (High Bleed)')\n",
    "#axes[1][1].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][1].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[0, 3], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=other_low, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][2].set_title('Other (Low Bleed)')\n",
    "#axes[1][2].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][2].set(xticklabels=[]) \n",
    "\n",
    "sns.boxplot(ax=axes[1, 3], medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=other_high, notch=False, showcaps=False, palette=my_clr)\n",
    "#axes[1][3].set_title('Other (High Bleed)')\n",
    "#axes[1][3].set_xticklabels(['Actual', 'NN-IR', 'KAMIR', 'DI-DCA'])\n",
    "axes[1][3].set(xticklabels=[]) \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "5e619630-42e9-445d-b62e-623d0ee5bc7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "kamir_wr = pd.concat([kamir1['Pred Overall sdr'][:50], kamir2['Pred Overall sdr'][:50]], ignore_index=True)\n",
    "cae_wr = cae1['Pred Overall sdr']\n",
    "tunet_wr = pd.concat([tunet1['Pred Overall sdr'][:50], tunet1['Pred Overall sdr'][:50]], ignore_index=True)\n",
    "cae_rev = cae_revb['Pred Overall sdr']\n",
    "tunet_rev = new_sdr['Pred Overall sdr']\n",
    "tunet_finetuned = finetuned_tunet['Pred Overall sdr']\n",
    "cae_fin = cae_finetuned['Pred Overall sdr']\n",
    "cae_fin2 = cae_finetuned2['Pred Overall sdr']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a2be234e-0779-4072-9039-900182af1edf",
   "metadata": {},
   "outputs": [],
   "source": [
    "rebuttal = [kamir_wr, cae_wr, cae_fin, cae_rev, tunet_wr, tunet_finetuned, tunet_rev]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a250091d-88ed-49e4-b863-efeb6d49a03b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\", 8:'white'}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=rebuttal,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Kamir Wr', 'CAE Wr', 'CAE Rev', 'CAE Finetuned', 't-UNet Wr', 't-UNet Rev', 't-UNet Finetuned'])\n",
    "plt.xticks(rotation=30, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62381414-df3a-4bfd-b502-80da05906e0e",
   "metadata": {},
   "source": [
    "### Upto here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6066d04-2cea-4887-8b7b-538151f2239c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c36779cf-725f-4231-b608-b44c5ed9af6e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "876d1010-d9c6-47a9-8bef-391516b5b8d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "dca2 = pd.read_csv(path+'sdr_new.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d59f4b51-2410-4642-a4d2-48859c378e95",
   "metadata": {},
   "outputs": [],
   "source": [
    "dcac = dca2['Closeness']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad6fb53a-6fa6-4cda-9643-6272826857bb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4f0f758a-9732-44f2-be10-f96db8d15abd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "69ee1f9b-438e-4b65-8c97-a2e2a6801976",
   "metadata": {},
   "outputs": [],
   "source": [
    "kamirc = np.concatenate([kamir1['Closeness'][:50], kamir2['Closeness'][:50]], axis=0)\n",
    "testc =  np.concatenate([test1['Closeness'][:50], test2['Closeness'][:50]], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b08e616d-b4b2-4d1e-a700-c12160af0b8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Difference in L2 Norm')\n",
    "plt.xlabel('examples')\n",
    "plt.ylabel('norm')\n",
    "plt.plot(kamirc)\n",
    "plt.plot(testc)\n",
    "plt.plot(dcac)\n",
    "plt.legend(['KAMIR', 't-UNet', 'CAE'])\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a3e89879-34a9-4d1e-ac07-4bbc2b5c9537",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "ax.set(xlabel='Methods', ylabel='L2 Norm', title='Difference L2 Norm')\n",
    "ax.set_xticklabels(['KAMIR', 't-UNet', 'CAE'])\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1943c9ad-d011-4ce0-be40-45d0e8fe905f",
   "metadata": {},
   "source": [
    "# New"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "5a35cab4-d61d-4ed6-93a0-b790a5127bb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "unet = pd.read_csv(path+'sdr_unet.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "7b3f7497-ba53-4928-84d4-9ad071353b74",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pd.DataFrame(unet.iloc[102])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "6c61ec53-aea2-4369-bdae-ef7fc412d902",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], test1['Pred Overall sdr'], \n",
    "         kamir1['Overall sdr'], dca1['Pred Overall sdr'], unet['Pred Overall sdr'][:100]]\n",
    "data2 = [test2['Overall sdr'][:25], test2['Pred Overall sdr'][:25], \n",
    "         kamir2['Overall sdr'][:25], dca2['Pred Overall sdr'][:25], unet['Pred Overall sdr'][:25]]\n",
    "data3 = [test2['Overall sdr'][25:], test2['Pred Overall sdr'][25:], \n",
    "         kamir2['Overall sdr'][25:], dca2['Pred Overall sdr'][25:], unet['Pred Overall sdr'][25:50]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "fcd7ee3e-6ea8-4d9b-a20c-c619d2101a10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "9bf9a897-d9d4-4ef6-b007-a82bb08c8e0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(\n",
    "    data=data2,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    boxprops={\"facecolor\": (.4, .6, .8, .5)},\n",
    "    medianprops={\"color\": \"red\"},\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "922f5d74-6aa1-4e63-b9ab-cc22d35964b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(\n",
    "    data=data3,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    boxprops={\"facecolor\": (.4, .6, .8, .5)},\n",
    "    medianprops={\"color\": \"red\"},\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cbbd500c-5831-430a-b2cf-c7f725c800e8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3eac695a-8371-4904-bbe7-b3635491a92a",
   "metadata": {},
   "source": [
    "# iwaveunet (dialated convolutions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "f4a0dd49-570a-451c-a419-663f53e3b7a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "iwaveunet = pd.read_csv(path+'iwaveunet_dialated.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "e376d811-96b7-4ef5-a8b4-1f95d207dec5",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], test1['Pred Overall sdr'], \n",
    "         kamir1['Overall sdr'], dca1['Pred Overall sdr'], \n",
    "         unet['Pred Overall sdr'][:100], iwaveunet['Pred Overall sdr'][:100]]\n",
    "data2 = [test2['Overall sdr'][:25], test2['Pred Overall sdr'][:25], \n",
    "         kamir2['Overall sdr'][:25], dca2['Pred Overall sdr'][:25], \n",
    "         unet['Pred Overall sdr'][:25], iwaveunet['Pred Overall sdr'][:25]]\n",
    "data3 = [test2['Overall sdr'][25:], test2['Pred Overall sdr'][25:], \n",
    "         kamir2['Overall sdr'][25:], dca2['Pred Overall sdr'][25:], \n",
    "         unet['Pred Overall sdr'][25:50], iwaveunet['Pred Overall sdr'][25:50]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "24ab4b96-ed1b-40b9-9918-b88e2870096a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "65b6029e-b2a8-46c3-8b76-21a24ae287d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data2,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "8ac52182-3a6b-434b-b1fc-84ca3931b8ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data3,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4991d69a-d5b6-4198-8592-611f91a78eb7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5aa508a0-f542-460e-af4b-b9d72cb0203a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "46c2decb-9939-44e4-88da-71aea0fa0e69",
   "metadata": {},
   "source": [
    "# Dialated Convolutions + shuffled Inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "a2ea7963-65b5-40db-af56-727a3f3168a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "iwaveunet_shuffled = pd.read_csv(path+'Shufflediwaveunet.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "abc7301e-253a-4ea1-b644-62f5979e163a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], test1['Pred Overall sdr'], \n",
    "         kamir1['Overall sdr'], dca1['Pred Overall sdr'], \n",
    "         unet['Pred Overall sdr'][:100], iwaveunet['Pred Overall sdr'][:100],\n",
    "        iwaveunet_shuffled['Pred Overall sdr'][:100]]\n",
    "data2 = [test2['Overall sdr'][:25], test2['Pred Overall sdr'][:25], \n",
    "         kamir2['Overall sdr'][:25], dca2['Pred Overall sdr'][:25], \n",
    "         unet['Pred Overall sdr'][:25], iwaveunet['Pred Overall sdr'][:25],\n",
    "        iwaveunet_shuffled['Pred Overall sdr'][:25]]\n",
    "data3 = [test2['Overall sdr'][25:], test2['Pred Overall sdr'][25:], \n",
    "         kamir2['Overall sdr'][25:], dca2['Pred Overall sdr'][25:], \n",
    "         unet['Pred Overall sdr'][25:50], iwaveunet['Pred Overall sdr'][25:50],\n",
    "        iwaveunet_shuffled['Pred Overall sdr'][25:50]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "923329ed-256d-47cc-bf80-5e431189f6c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:'orange'}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'Shuffle'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c7282efb-7b1c-4ed6-a89b-1a9bbf6385d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:'orange'}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data2,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'Shuffle'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "78d74995-1f20-4d87-a00a-f35c8fed1e72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkgAAAG4CAYAAAC+ZBgrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABLy0lEQVR4nO3deXhTVeLG8TfpStlBBEQQCtPKVnaQXQrILooUKmXfBRx1dBAE6+AOg+MCsiObLUEQVBCrgoqIijoooCICHUBRQNYCpbRp7u8PbX4kaaFJlyTt9/M8PDQnJ/ee3N7evDnn3HtNhmEYAgAAgJ3Z2w0AAADwNQQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJ4HebgCAwrV//369+uqr2rt3r06dOqVy5cqpTp06io6O1pAhQ+z1oqOjdezYMUmSyWRSqVKlVLVqVTVu3Fj9+/dXo0aNXJYdGRnp8LhkyZKqV6+eRo8erdtvv/26bfv111/VuXNnTZ48WaNGjcrbG0WBSUhIUIkSJdSvXz9vNwUoMAQkoBjZtWuXhg4dqptuukkxMTGqVKmSfv/9d+3evVsrV650CEiSVLduXY0YMUKSdOnSJSUnJyspKUlvvPGGhg8frqlTp7qso23bturbt68Mw9Bvv/2m1atXa/z48Vq8eLHat29fKO8TBWv16tUqX748AQlFGgEJKEYWLFig0qVLa926dSpTpozDc6dPn3apX7lyZfXt29eh7JFHHtHDDz+s5cuX65ZbbtGgQYMcnq9Zs6bDa7p166aePXtq5cqVfhmQUlNTFRYW5u1mAChkzEECipGjR4+qTp06LuFIkipWrJirZYSGhmrWrFkqV66cFixYIMMwrlm/du3aKl++vI4ePepRm9evX6/IyEh98803evrpp3XbbbepefPmio+PV3p6ulJSUjR58mS1aNFCLVq00KxZsxza9OuvvyoyMlJLly7V8uXL1alTJ0VFRWnw4MH6+eefHdY1ZcoUNWnSREePHtWYMWPUpEkTPfLII5L+DErPP/+8OnbsqAYNGqhbt25aunSpw7p69+7t0gsnSTabTe3bt9ff//53h7Lly5erV69eatiwodq0aaP4+HidP3/e4bXR0dEaN26cdu7cqX79+ikqKkp9+vTRzp07JUkffPCB+vTpo4YNG6pfv3768ccfXdZ/6NAh/f3vf1fLli3t9bZu3Zrtdv7vf/+r5557TrfddpsaN26siRMn6syZMw7tOXDggL766itFRkYqMjIy2/cM+DsCElCMVKtWTT/88INLMHBXyZIl1aVLF504cUIHDx68Zt0LFy4oJSVFZcuWzdM6n376aR0+fFj333+/oqOjtWbNGr388ssaP368MjMz9dBDD6lZs2ZaunSp3n77bZfXv/XWW1q5cqUGDRqksWPH6sCBAxo2bJhOnTrlUM9qtWrUqFGqWLGiHn30Ud1xxx0yDEP33Xefli9frvbt22vq1KmqVauWZs2apeeee87+2h49euibb77RH3/84bDM//73vzp58qR69uxpL4uPj9e///1vNW3aVNOmTVO/fv20ceNGjRo1ShkZGQ6vP3LkiB5++GFFR0frH//4h86fP6/x48frnXfe0XPPPac+ffro/vvv19GjR/Xggw/KZrPZX3vgwAENHDhQhw4d0pgxYzRlyhSFhYVp4sSJ+vDDD7Pdzj/99JMmTZqke++9Vx9//LGefPJJ+/OPPfaYqlSpovDwcM2aNUuzZs3S+PHjc/lbBPyIAaDY+Oyzz4y6desadevWNQYOHGjMmjXL2L59u5Genu5St1OnTsbYsWNzXNayZcuMiIgIY8uWLfayiIgI47HHHjNOnz5tnD592ti7d68xatQoIyIiwliyZMl12/fLL7+41H3zzTeNiIgIY+TIkYbNZrOXDxw40IiMjDTi4+PtZVar1ejQoYMxePBgl2VGRUUZx48ft5fv3r3biIiIMJ599ll72aOPPmpEREQYs2fPdmjXhx9+aERERBjz5s1zKL///vuNyMhI48iRI4ZhGEZycrIRERFhrFq1yqHev/71L6Nx48bG5cuXDcMwjK+//tqIiIgw3nnnHYd6n376qUt5p06djIiICGPXrl32su3bt9vf07Fjx+zlFovFiIiIML788kt72bBhw4zevXsbV65csZfZbDZj4MCBxh133OGynYcPH+6wnZ999lmjbt26RkpKir2sV69eDtsYKIroQQKKkbZt28pisSg6Olo//fSTlixZolGjRqlDhw4uQy7XU7JkSUl/Tt6+2rp169S6dWu1bt1a99xzj7788kuNHj3aPtnbU/3795fJZLI/joqKkmEY6t+/v70sICBADRo00C+//OLy+i5duqhy5coOr2/UqJG2bdvmUvfee+91ePzpp58qICDAZShp5MiRMgxDn376qSSpVq1aqlu3rjZv3myvk5mZqffff1/R0dEKDQ2VJCUlJal06dJq27atzpw5Y/9Xv359hYWF2YfPstSpU0dNmjSxP846g/C2227TTTfd5FKe9f7PnTunL7/8Uj169NDFixft6zl79qzatWunw4cP68SJEw7rGjBggMN2bt68uTIzM+1nNALFBZO0gWImKipKc+fOVXp6un766Sdt2bJFy5cv1wMPPKC33npLderUydVysoJRVlDK0rlzZw0ePFgZGRnau3evFixYoLS0NJnNefs+dnUQkKTSpUtLkqpWrepS7jyPR5JuueUWl7KaNWvqvffecygLDAxUlSpVHMqOHTumG2+8UaVKlXIor127tv35LD179tR//vMfnThxQpUrV9ZXX32l06dPq0ePHvY6R44c0YULF9S6dets36vzhPns3qMkl3ZmtS8lJUXSn3PODMPQyy+/rJdffjnHdV0dHJ23c9Z8taxlAsUFAQkopoKDgxUVFaWoqCjVrFlTU6dOVVJSkiZNmpSr1x84cECSa/CoUqWK2rRpI0nq2LGjypcvryeffFKtWrXSHXfc4XF7cwpYeQ1ezoKDg/O0zB49euiFF17Qe++9p+HDh+u9995T6dKl1aFDB3sdm82mihUravbs2dkuo0KFCg6PAwICsq2XU7nx18TxrLlII0eOzPEMwho1ajg8zum9G9eZjA8UNQQkAGrQoIEk6eTJk7mqf+nSJW3ZskVVq1a196LkZODAgVq+fLleeuklde3a1WH4pjAdOXLEpezw4cOqVq3adV9brVo1ffHFF7p48aJDL1JycrL9+SzVq1dXVFSU3nvvPQ0ePFgffPCBunTpouDgYHudGjVq6IsvvlDTpk3tw24FoXr16pKkoKAge2jND976HQKFiTlIQDHy5ZdfZtsTkDUPJzw8/LrLSEtL0+TJk3Xu3DmNHz/+uh+WgYGBGjFihA4dOuT2PKf8tGXLFof5Nnv27NHu3bsdenZy0qFDB2VmZiohIcGhfPny5TKZTC7L6Nmzp7777ju9+eabOnv2rMPwmvRnL1NmZqbmzZvnsi6r1Zpvw1kVK1ZUy5YttWbNmmzD79Wn77ujRIkSDLmhyKMHCShGnn76aV2+fFldu3ZVeHi4MjIytGvXLr333nuqVq2ay5WRT5w4YT9lPjU1VYcOHVJSUpL++OMPjRw5UrGxsblab79+/fTKK69o8eLF6tKlS76/r9yoUaOG7r33Xt17771KT0/XypUrVa5cOY0ePfq6r42OjlarVq304osv6tixY4qMjNSOHTu0detWDRs2zGWYqkePHpo5c6ZmzpypcuXKufTetGzZUgMHDtTChQu1b98+tW3bVkFBQTp8+LCSkpI0bdo0de/ePV/e9xNPPKFBgwapT58+GjBggKpXr65Tp07pu+++0/Hjx/XOO++4vcz69etr9erVmjdvnm655RZVqFAhx/lUgL8iIAHFyOTJk5WUlKRt27ZpzZo1ysjI0E033aRBgwbpvvvuc7mA5L59+zR58mSZTCaVLFlSVatWVadOnRQTE6OoqKhcrzc0NFSDBw/WnDlztHPnTrVq1Sq/39p13XXXXTKbzVqxYoVOnz6tqKgoPf7447rxxhuv+1qz2az58+frlVde0ebNm7V+/XpVq1ZNkydP1siRI13qV6lSRU2aNNGuXbsUExOjoKAglzpPPvmkGjRoIIvFohdffFEBAQGqVq2a7rzzTjVt2jRf3rP05xlwb775pubOnasNGzbo3LlzqlChgurVq6eJEyd6tMyJEyfqt99+05IlS3Tp0iW1bNmSgIQix2Qw8w5AEcYNcAF4gjlIAAAATghIAAAATghIAAAATpiDBAAA4IQeJAAAACcEJAAAACdcB8lD3377rQzDyPb6JgAAwDdlZGTIZDKpSZMm16xHQPKQYRjcvBEAAD+T289uApKHsnqOGjZs6OWWAACA3Nq7d2+u6jEHCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwInf36z2yJEjWrp0qXbv3q0DBw4oPDxcmzZtcqgzZMgQffXVVy6v3bx5s2rXrl1YTQUAAH7C7wPSgQMHtG3bNjVq1Eg2m02GYWRbr2nTpnr00Ucdym6++ebCaCK8KGt/MJlMXm4JAMCf+H1Aio6OVpcuXSRJU6ZM0ffff59tvTJlyqhx48aF2DJ4m2EY9lA8c+ZMQhIAINf8PiCZzUyjQvauXLmiffv22X8ODQ31cosAAP6i2KSLr776So0bN1bDhg01ePBgff31195uEgAA8FF+34OUGy1atFDfvn1Vs2ZNnTx5UkuXLtWIESO0atUqNWnSxOPlGoah1NTUfGwp8lNaWpr959TUVNlsNi+2BgDgCwzDyNWUi2IRkP7+9787PL799tvVu3dvzZs3T4sXL/Z4uRkZGfYhHPie9PR0+8/79+9XcHCwF1sDAPAVufk8KBYByVlYWJg6duyo999/P0/LCQoKUp06dfKpVchvV/cgRUZGMgcJAKCDBw/mql6xDEj5xWQyKSwszNvNQA6unsAfFhZGQAIA5PqM5mIzSftqqamp+uSTT9SwYUNvNwUAAPggv+9Bunz5srZt2yZJOnbsmC5evKikpCRJUsuWLZWcnKwlS5aoa9euqlatmk6ePKlly5bpjz/+0Msvv+zNpgMAAB/l9wHp9OnTeuCBBxzKsh6vXLlSVapUUUZGhl588UWdO3dOJUqUUJMmTTRjxgxFRUV5o8kAAMDH+X1Auvnmm7V///5r1lm6dGkhtQYAABQFxXIOEgAAwLUQkAAAAJwQkAAAyCPDMGQYhrebgXxEQAIAIA8Mw9Cjjz6qRx99lJBUhPj9JG0AALzpypUr9ttOXblyhYvSFhH0IAEAADghIAEAADghIAEAADghIAEAADghIAEAADjhLDb4PMMwdOXKFbdfl5aWlu3P7ggJCZHJZPLotQAA/0VAgs+7cuWKYmJi8rSMIUOGePS6tWvXcsouABRDDLEBAAA4oQcJfmVY2QoKcmPIK+uqtu4Mk2UYhlacP+N22wAARQcBCX4lyGRyKyCJ+UMAAA8wxAYAAOCEgAQAyDXuWo/igoAEAMgV7loPT/hrqGYOEgAgV7hrPdyVFaolaebMmX51XTkCEgAAKBD+HKoZYgMAAHBCQAIAAHBCQAIAAHBCQAIAAHBCQAIAAHBCQAIAAHDCaf7wC4ZhKDMzU2nWDGWqYK+jkSFDVqtVAQEBBboeAIDvIiDB5xmGoc8//1xnz55VUiGut3z58n559VcAQN4xxAYAAOCEHiT4PJPJpDZt2igzM1PDy1VQUCEMsS0/d0YBAQF+dVl8AED+ISDBL5hMJgUGBio0MEhBBRxaAgxDgYH8aQBAccYQGwAAgBMCEgAAgBO/D0hHjhxRfHy8+vbtq3r16ql3797Z1lu7dq26deumhg0b6s4779THH39cyC0FAAD+wu8D0oEDB7Rt2zbdcsstql27drZ13n33XT3++OPq0aOHFi9erMaNG2vSpEn67rvvCrexAADAL/j9TNTo6Gh16dJFkjRlyhR9//33LnVeeeUV9erVSw8++KAk6bbbbtPPP/+sV199VYsXLy7M5gIAAD/g9z1IZvO138Ivv/yiw4cPq0ePHg7lPXv21BdffKH09PSCbB4AAPBDft+DdD3JycmSpFq1ajmU165dWxkZGfrll19yHJq7HsMwlJqamuc24trS0tK8tu7U1FTZbDavrR/wJVf/LRbFvw3DMHTlyhW3X3f1a86ePauQkBCP1h8SEuKz117z5rbJ7+1iGEaullfkA9L58+clSWXKlHEoz3qc9bwnMjIytG/fPs8bh1zxZi/f/v37FRwc7LX1wzuybjHjqx9W3nL132JR/NtIT0/Xs88+m6dljB071uPXPvbYYz67Tb25bQpiu+RmeUU+IBWkoKAg1alTx9vNKPK82YMUGRmp0NBQr60fhc8wDMXHx8tkMmnGjBlFLiR52hMgOfYG1KxZ0yd6A/KTN481km8fb4rScfjgwYO5qlfkA1LZsmUlSRcuXFClSpXs5SkpKQ7Pe8JkMiksLCxvDcR1XW+eWUEKCwvz2QMWCkZaWpp+/vlnSVJAQECR+/2npaVp2LBheV6Op70Ba9eu9dltevWxpta998kcGJTr13ra62izZuh/q+dL8u3jzdXb5tke+xQckPvh1ax7fruzadIzzXrsvbqS8n+75PZ3VOQDUnh4uKQ/5yJl/Zz1OCgoSNWrV/dW0wAAPsocGCRzkG8Od3lbcIBNIYFGAa/F+/PbinxAql69umrWrKmkpCT75QAkafPmzWrdurXPjvcCQEEr+be7ZDK79zHgSU+JYbPq0oG33FoP4G1+H5AuX76sbdu2SZKOHTumixcvKikpSZLUsmVLVahQQffff78eeeQR1ahRQ61atdLmzZu1Z88evf76695sOgB4lckc6HZA8s3ZQ0D+8/uAdPr0aT3wwAMOZVmPV65cqVatWql37966fPmyFi9erEWLFqlWrVqaO3eumjRp4o0mAwAAH+f3Aenmm2/W/v37r1svJiZGMTExhdAiAADg7/z+StoAAAD5jYAEAADghIAEAADgxO/nIAEAgIJnGIYyMzOVesWmzMyCvQ7SFatJVqtVAQEBBbqeayEgAQCAazIMQ59//rnOnj2rv66kUwiOqHz58vZrbxU2htgAAACc0IMEv5Lh5jcJT6766+46AKCoM5lMatOmjTIzM/Vsj30FfquRK1aTHnuvrgICArx2c2MCEvzKivNnvN0EAEVY1jybjLTLMmdmFvj6bBnpXp9rk1smk0mBgYEKCzEXeEAKCPhzXd5EQAIAQI7zbApxoo0keXWuDbJHQILPCwkJ0dq1a91+XVpamoYMGSJJWrVqlUJDQz1aN1DUZPWSWDOuyGSyFsL6Mv2mlwTIQkCCzzOZTB6Fm6uFhobmeRlAUUAvSc6unmcTfu99MgcFF/g6bRnpSl4936tzbZA9AhIAAH/JmmcTFFqicAJSQIDX59oge/xWAKAYubqXpFTE3TKZCn7YyzAydfHnDfSSwK8QkACgmMnqJQkMCpHJXPAfA4bNSi8J/A4XigQAAHBCQAIAAHBCQAIAAHBCQAIAAHBCQAIAAHBCQAIAAHDCeZcAUEwZNvdvM5J1JWx3rmfkyXoAbyMgAUAxdenAW95ugs+yWTPcqu9JcPRkPSg8BCQAAJz8b/V8bzcBXkZAAoBiJCQkRGvXrvXotWlpaRoyZIgkadWqVR7dADokJMSjdQOFjYAEoEgyDENXrlxx+3VpaWnZ/uyOkJAQn73nmMlk8ijYOAsNDc2X5fgST8NjfgTHrPXDdxCQABRJV65cUUxMTJ6WkfWh5661a9cWufBQHORHeCyKwbG4IiABAIBcS880S7Lluv5f89flTqfqn+vwLgISgCKveb0BMrtx13pPzkiy2az65sc33G4b4G8ee6+ut5tQKAhIAIo8szlQAeYgbzcDgB8hIAEAgGvy5gR2b01eJyABAIBrKo4T2L0/CwoAAMDHFIuAtH79ekVGRrr8mz17trebBgAAfFCxGmJbsmSJSpcubX9cuXJlL7YGAAD4qmIVkOrXr68KFSp4uxkoJCEhIapbt679ZxQ/hmEoMzNT6elpCjBnFui6Mm0ZslqtCggIKND1ACgcxSogoXgxmUyaOXOm/WcUL4Zh6PPPP9fZs2eVlJRUaOstX768/TpKAPxXsZiDlKV3796qW7euOnfurIULFyozs2C/UcL7TCYT4QgA4LZi0YNUqVIl3X///WrUqJFMJpM++ugjvfTSSzpx4oTi4+M9Xq5hGEpNTc3HlgLIL2lpaWrTpo0yMzPVvN6AAr9QZKYtQ9/8+IYCAgJ0+fLlItmLdPXNe1NTU2Wz5f52E0UZ2yVnvrhtDMPI1RfnYhGQ2rdvr/bt29sft2vXTiEhIVqxYoXGjx+vG2+80aPlZmRkaN++ffnVTI95clsEoKjvN+np6TKZTAoMDFRwcGghBKQABQb+eUjdv3+/goODC3R93pCenm7/uai+R08YhqHq1atLkpKTk4vs35QnfHXb5GbfLRYBKTs9evTQa6+9pn379nkckIKCglSnTp18bpl7DMNQfHy8TCaTZsyY4TM7H3xbcdhvrv7mWtgiIyP96oJ4uWUYhiIjIyVJUVFRRXK/8dS///1vSUX3C0de+Nq2OXjwYK7qFduAlB9MJpPCwsK82oa0tDT9/PPPkqSAgIAieVBG/isO+43Z7L0plmFhYUVym0q+92EHuCu3+26xDUibN29WQECA6tWr5+2mAIDfIBihuCgWAWnUqFFq1aqVvWt469ateuONNzR06FBVqlTJy60DAAC+plgEpFq1aunNN9/U8ePHZbPZVLNmTT322GP2OwwDAABcrVgEpOnTp3u7CQAAwI8UqwtFAgAA5AYBCQAAwAkBCQAAwAkBCQAAwAkBCQAAwEmxOIvNHxiGoStXrrj9uqtvp+DprRVCQkK4+JufYr8BgIJBQPIRV65cUUxMTJ6W4el1ndauXVtkb4tQ1LHfAEDBYIgNAADACT1IPqh8z1tkCsz90IVhGJLcu0eSYTV0dvMRt9sG3zVhaJSCAnP/nceT/SbDatO8lXvcbhsA+BsCkg8yBZpkcuODzrNZIDaPXgXfFRRoVnBQgLebAQBFAgEJQJFns1ndqu9J75q76wDg2whIAIq8b358w9tNAOBnmKQNAADghB4kAEVSSEiI1q5d6/br0tLS7Jc+WLVqlUeXMggJCXH7NQB8CwEJQJFkMpnyfJ2m0NBQrvUEFFMMsQEAADghIAEAADghIAEAADghIAEAADghIAEAADghIAEAADjhNH8fYhiGMjMzlXElQ6bMgs2uhtUmq9WqgADu3eXvsvaby2npysws2N9nekYm+w2AYoGA5CMMw9Dnn3+us2fPSkmFt97y5cvb7zsF/3P1fpOUVHg7DvsNgKKOITYAAAAn9CD5CJPJpDZt2igzM1Ple90iU2DBD7GdffeIAgIC3LpjOXzL1fvNhKFRCg4q+CG2eSv3sN8AKPIISD7EZDIpMDBQQSFBBR+QAmwKDOTXXxRk7TclQoMLPCAFBGSy3wAoFhhiAwAAcEJAAgAAcEJAAgAAcEJAAgAAcEJAAgAAcEJAAgAAcFJsAtKhQ4c0YsQINW7cWG3bttWsWbOUnp7u7WYBAAAfVCwuaHL+/HkNGzZMNWvW1Jw5c3TixAk9//zzSktLU3x8vLebBwAAfEyxCEgWi0WXLl3S3LlzVa5cOUlSZmamZsyYoXHjxqly5crebSAAnxESEqK6devafwZQPBWLIbZPP/1UrVu3tocjSerRo4dsNpt27NjhvYYB8Dkmk0kzZ87UzJkzuZ0KUIwVi4CUnJys8PBwh7IyZcqoUqVKSk5O9lKrAPgqk8lEOAKKuWIxxJaSkqIyZcq4lJctW1bnz5/3eLmGYSg1NTUvTbNLS0vLl+V4IjU1VTabzWvrh+fYbwDAPYZh5OoLULEISAUlIyND+/bty5dlefOMuv379ys4ONhr64fn2G8AwH25OXYVi4BUpkwZXbhwwaX8/PnzKlu2rMfLDQoKUp06dfLSNDtv9gRERkYqNDTUa+uH59hvAMA9Bw8ezFW9YhGQwsPDXeYaXbhwQX/88YfL3CR3mEwmhYWF5bV5kiSz2XvTwcLCwvig81PsNygsiYmJMpvNio2NtZdZLBbZbDYNGjTIiy0D3JPb+YXFYpJ2hw4d9PnnnyslJcVelpSUJLPZrLZt23qxZQDgH8xmsxISEmSxWCT9GY4SEhK8GtKBglQsepBiY2O1atUqTZw4UePGjdOJEyc0a9YsxcbG+uQ1kAyrISn3k18Nw5CU+1T8/+tAUZJhdW/CtCf7jbvrQNGR1XOUkJCgNWvWyGq1Ki4uzqFHCShKikVAKlu2rFasWKGnnnpKEydOVMmSJdW/f3899NBD3m5ats5uPuLtJvi94jgcMG/lHm83AUVcbGysPRwFBgYSjlCkFYuAJEm1a9fW8uXLvd0MFJKs4QDpz4N61nBAXFycl1sG+C+LxWIPR1arVRaLhZCEIqvYBCRfFxISorVr17r9urS0NA0ZMkSStGrVKo8mzRbF2ykUl+EA9hsUlqu/ZFz9pUNSkfu7AiQCks8wmUx5PiMoNDSUs4quUhyGA9hvUFhsNpvDl4ys/7lYKHLi71MdCEgoshgOAPJPdh9o/D3hWvx9qgMBCUUSwwEA4F3+PtWBgIQiieEAAPA+f57qQEBCkcRwAIDC4O/zbAqaP0914BKoAAB4iCuM5+zqqQ4bNmxQXFycw7bydfQgAQDgIX+fZ1OQ/H2qQ4EGpK+//lotWrQoyFUAAOBV/jzPpiD5+1SHAukD3Lp1q2JjYzV06NCCWDwAoJAlJia6DI1YLBYlJiZ6qUW+I7t5NvB/bvcg7dixQytXrtTRo0dVtmxZde/eXcOHD5ckbdmyRS+99JIOHTqkcuXKaeLEifndXgCAF/j7NW0KCpcUKbrcCkjbtm3T+PHjZRiGypcvr6NHj2r37t06ffq0Ll++rNdff101atRQfHy8+vXrx60IAKCIYK5N9vx9ng1y5lZAWrJkiW688Ua99tprql27ti5cuKCHHnpIy5cvl8lk0uOPP67Y2FgFBAQUVHsBAF7CXBtX/j7PBjlzaw7Sjz/+qHvvvVe1a9eWJJUuXVoPPvigMjIyNG7cOMXFxRGOAKCIYq4NihO3AtKlS5d00003OZRlPW7YsGH+tQoA4FP8/Zo2gLvcnqRtMpmyfRwUFJQ/LQIA+Bzm2qC4cTsgvfXWW9q9e7f98ZUrV2QymZSQkKCtW7e61J8+fXreWggA8Drm2qC48eg0/x07driUb9myxaXMZDIRkAAAgN9xKyD99NNPBdUOAAAAn8Hd9AAAAJzk6V5shw4d0tGjR3Xp0iWVLFlSNWrUsF8CAAAAwF95FJAsFosWLFigEydOuDxXtWpV3XfffYqJiclz4wAAALzB7YA0c+ZMLVu2TGXLltU999yjv/3tbwoLC1Nqaqp+/vlnbdmyRfHx8Tp8+LD++c9/FkSbAQAACpRbAWnPnj1atmyZunbtqpkzZyosLMylzrRp0/TPf/5Tr732mrp3784FJAEAKIYSExNlNpsdLgdhsVhks9myvWyEr3Frkva6detUqVIlvfDCC9mGI0kKCwvTf/7zH1WsWFHr1q3Ll0YCQGFITEx0uTK0xWJRYmKil1oE+C+z2exwtfWsq7Gbzf5xfphbPUjffvutunfvruDg4GvWCwkJUffu3bVz5848NQ4AClPWAV368yKIV99eA4B7snqOEhIS7Dc5vvpq7L7OrYB0/PjxXJ+lVqdOHb399tseNQoAvMHfD+iAr4mNjbX/LQUGBvrV35Jb/VwXL15UyZIlc1U3LCxMly5d8qhRAOAtsbGx9rvV+9sBHfA1FovF/rdktVr96ubGbgUkwzBcblZ7vfoA4E/8+YAO+JKrh6g3bNiguLg4hzlJvs7t0/xfe+01bdq06br1Tp486VGDAMBbrj6gXz0HSeLGrIC7bDabwxB11v82m82bzco1twLSTTfdpHPnzuncuXO5ql+1alVP2gQ3hISEqG7duvafgdxgv8mevx/QAV+S3an8/vRFw2QwDuaRvXv3SpJPXOcp61fozvAnwH4DoDjK7ed3nu7FdrVDhw4pKSlJf/zxh8LDw9WvXz+VKlUqvxafJ1OmTNGGDRtcyhcvXqwOHTp4oUX5iw84V/5+gbLCwH4DADlzKyC9/vrrWrVqlVavXq0KFSrYyz/66CM98MADysjIsJetWrVKa9ascajnTdWrV9fs2bMdyrixbtHF9WwAAHnhVkD66KOPVL16dYfQY7VaNX36dAUEBOjJJ59UgwYN9Mknn+ill17SggUL9Nhjj+V7oz0RGhqqxo0be7sZKCRczwYAkBduneZ/8OBBl5Cxc+dOnTlzRsOGDdPdd9+tv/3tbxozZoy6d++ubdu25WdbAbdwPRsAgKfcCkjnzp1TlSpVHMq++OILmUwmde3a1aG8adOm+v333/Pewnxy5MgRNWvWTA0aNFC/fv20ZcsWbzcJBYzr2QAAPOXWENsNN9ygU6dOOZR98803Cg0N1a233upQHhwcrKCgoLy3MB/UrVtXDRs2VJ06dXThwgWtXr1aEydO1Msvv6zu3bt7vFzDMJSampqPLUV+efPNN/XGG29owIABuueee/Tmm28qISFBGRkZuueee7zdPACAl+T2otduBaQGDRpow4YNGjx4sEqVKqUDBw5o79696ty5swIDHReVnJzs0tuUXy5cuJCrC1FWr15dwcHBGjZsmEN5dHS0YmNj9corr+QpIGVkZGjfvn0evx4F58SJE+rUqZPq1aunffv2qV69eurUqZNOnDjB7wxAvvn4449lNpvVsWNHe9m2bdtks9nUqVMnL7YM1xIcHHzdOm4FpIkTJ6p///7q1q2b6tSpox9++EEmk0ljx451qfvhhx/qtttuc2fxuZaUlKTp06dft97mzZuzPVPNbDbrjjvu0L///W+lpaUpNDTUo3YEBQWpTp06Hr0WBSvrIojXKwOAvPjxxx/1xhtvqFKlSvbe6o8//lgDBgzgmOOjDh48mKt6bgWkyMhIrVixQgsWLNAvv/yiRo0aadSoUWrQoIFDvZ07d6pEiRJ56p25lpiYGMXExBTIst1hMpkUFhbm7WYAALxkyJAhCgoKUkJCgtavX88Zs34gt9eAK5ZX0rbZbBowYIDS0tJydV+57PjSlbQBAN519913208Kye7CxPAduf38dussNn907NgxDRkyRBaLRV988YWSkpI0YsQIff/993rggQe83TwAgJ/jjNmiKd9uNeKrSpYsqVKlSmn+/Pk6ffq0goKC1KBBAy1evFjt27f3dvMAAH7s6qv0X33Vfsm/bswKV0U+IJUrV07z58/3djMAAEWQzWZzmHOU9b/NZvNms5APinxAAgCgoGR382t6joqGIj8HCQAAwF0EJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAAAACcEJAD4y9SpUzVt2jSHsmnTpmnq1KleahEAbyEgAcBfzGaz9uzZYw9J06ZN0549e2Q2c6gEihv+6gHgL88884yioqK0Z88e9enTR3v27FFUVJSeeeYZbzcNQCEjIAHAVZzDEOEIKJ4ISABwlezmIAEofghIAPCXrDlHUVFR2rhxo324jZAEFD8EJAD4i81mc5hzlDUnyWazebllAAqbyTAMw9uN8Ed79+6VJDVs2NDLLQEAALmV289vepAAAACcEJBQJCUmJspisTiUWSwWJSYmeqlFAAB/QkBCkWQ2m5WQkGAPSRaLRQkJCVzwDwCQK4HebgBQEGJjYyVJCQkJWrNmjaxWq+Li4uzlAABcC1+nUWTFxsYqMDBQVqtVgYGBhCMAQK4RkFBkWSwWeziyWq0uc5IAAMiJXwekHTt26OGHH1aXLl0UGRmpJ598Mtt66enpmjlzptq2bavGjRtrxIgRSk5OLuTWojBlzTmKi4vThg0bFBcX5zAnCQCAa/HrOUjbt2/XTz/9pBYtWuj8+fM51nv66ae1efNmTZkyRZUrV9aCBQs0fPhwvfvuuypdunQhthiFxWazOcw5yvqfC/4BAHLDry8UabPZ7GclRUdH6/bbb1d8fLxDnePHjys6OlpPPPGEBg4cKEk6d+6cOnXqpAkTJmjMmDEerZsLRQIA4H+KxYUic3PK9meffSabzabu3bvby8qVK6e2bdvq008/LcjmAQAAP+XXASk3kpOTVbFiRZUtW9ahvHbt2sxDAgAA2fLrOUi5kZKSku08ozJlylxz3lJuGIah1NTUPC0DAAAUHsMwZDKZrlvPpwLShQsXdPLkyevWq169uoKDgwuhRdeWkZGhffv2ebsZAADADbnJED4VkJKSkjR9+vTr1tu8ebNq166dq2WWKVNGFy9edClPSUlxGXZzV1BQkOrUqZOnZQAAgMJz8ODBXNXzqYAUExOjmJiYfF1meHi4Tp06pfPnzzsEouTkZIWHh+dp2SaTSWFhYXltIgAAKCS5GV6TisEk7Xbt2slsNuuDDz6wl50/f16fffaZOnTo4MWWAQAAX+VTPUjuOnbsmP16BpcvX9bRo0eVlJQkSfbT+qtUqaL+/ftr1qxZMpvNqly5shYuXKjSpUtzby4AAJAtvw5IO3fu1NSpU+2Pt2/fru3bt0uS9u/fby+fPn26SpYsqRdeeEGXLl1S06ZNtWzZMq6iDQAAsuXXV9L2Jq6kDQCA/ykWV9IGAAAoCAQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAAAAJwQkAMB1JSYmymKxOJRZLBYlJiZ6qUVAwSIgAQCuy2w2KyEhwR6SLBaLEhISZDbzMYKiya9vNQIAKBxZ965MSEjQmjVrZLVaFRcXV+zvaZmYmCiz2eywHSwWi2w2mwYNGuTFliGviP4AgFyJjY1VYGCgrFarAgMDi304kuhZK8roQQKAv9AbcG0Wi8UejqxWqywWS7EPSfSsFV1EXD/GpEl4gv0mZ/QG5CxrW8TFxWnDhg2Ki4tz2FbFGT1rRRN/9X6Mgzk8wX6Ts9jYWPsH/913320PBHzgSTabzWFbZG0rm83m5ZZ5X3Y9a/B/JsMwDG83wh/t3btXktSwYUOvtiPrwy3rD5ODOXKD/eba7r77bvsH3oYNG7zdHPiwq3vWYmNjXR7D9+T285uvjH6Orl14gv0mZ/QGwB30rBVdBCQ/x8EcnmC/yR7zbOCuQYMGuXzBiI2NZVK//H++IwHJj3EwhyfYb3JGbwCQf/x9viOn+fux7A7mWeVATthvcpbdt36GHwHP+PslEJik7SFfmaQNAIAv87WTHpikDQAAvMqf5zsSkAAAQL7z9/mOzEHyY9wWAZ5gvwFQGPx9viM9SH7M388QgHew3wAoDP5+CQR6kPyYv58hAO9gvwGA6+Mro5/jisjwBPsNAFwbAcnP+fMZAvAe9hsAuDYCkh/z9zME4B3sNwBwfcxB8mP+foYAvIP9BgCujytpe4graQMA4H+4kjYAAICHCEgAAABO/HoO0o4dO7R+/Xrt3r1bv/zyi+Li4hQfH+9SLzIy0qXshhtu0I4dOwqjmQAAwM/4dUDavn27fvrpJ7Vo0ULnz5+/Zt0hQ4aod+/e9sdBQUEF3TwAAOCn/DogTZ48WVOmTJEk7dy585p1q1atqsaNGxdCqwAAgL/z6zlI3DsKAAAUhGKTMBYtWqT69eurefPmevDBB/Xbb795u0kAAMBH+fUQW27ddddduv3223XDDTfo559/1vz58zVo0CC9/fbbKlu2rMfLNQxDqamp+dhSAABQkAzDkMlkum49nwpIFy5c0MmTJ69br3r16goODs71cmfOnGn/uUWLFmrWrJn69eunN954Q2PGjPGorZKUkZGhffv2efx6AABQ+HKTIXwqICUlJWn69OnXrbd582bVrl3b4/XceuutqlWrln744QePlyH9eSZcnTp18rQMAABQeA4ePJirej4VkGJiYhQTE+PtZuSayWRSWFiYt5sBAAByKTfDa1IxmqR9tX379ul///sf91EDAADZ8qkeJHcdO3bMftO5y5cv6+jRo0pKSpIkde/eXZK0dOlSHT16VK1atVKFChV04MABLViwQFWqVPGr3ioAAFB4/Dog7dy5U1OnTrU/3r59u7Zv3y5J2r9/vySpVq1a+uCDD/Tee+/p0qVLKl++vDp27KgHH3xQZcqU8Uq7AQCAbzMZhmF4uxH+KKvnimE6AAD8R24/v4vlHCQAAIBrISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABwF8SExNlsVgcyiwWixITE73UIgDeQkACgL+YzWYlJCTYQ5LFYlFCQoLMZg6VQHET6O0GAICviI2NlSQlJCRozZo1slqtiouLs5cDKD74WgQAV4mNjVVgYKCsVqsCAwMJR0AxRUACgKtYLBZ7OLJarS5zkgAUDwQkAPhL1pyjuLg4bdiwQXFxcQ5zkgAUH8xBAoC/2Gw2hzlHWf/bbDZvNguAFxCQAOAvgwYNciljDhJQPDHEBgAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4ISABAAA4MRvA1JmZqYWL16suLg4tWrVSi1bttSQIUP0zTffuNRNT0/XzJkz1bZtWzVu3FgjRoxQcnKyF1oNAAD8gd8GpLS0NC1atEj169fXzJkzNXv2bJUtW1ZDhw7VF1984VD36aef1tq1a/XQQw9pzpw5Sk9P1/Dhw3XhwgUvtR4AAPgyv73VSGhoqLZs2aKyZcvay9q2bavevXtrxYoVat26tSTp+PHjWrdunZ544gn1799fktSwYUN16tRJFotFY8aM8Ur7AQCA7/LbHqSAgACHcJRVFhkZqZMnT9rLPvvsM9lsNnXv3t1eVq5cObVt21affvppobUXAAD4D78NSNmxWq3avXu3wsPD7WXJycmqWLGiS5iqXbs285AAAEC2/HaILTtLlizRiRMnNHz4cHtZSkqKSpcu7VK3TJkyOn/+fJ7WZxiGUlNT87QMAABQeAzDkMlkum49nwpIFy5ccBgey0n16tUVHBzsULZjxw7NmTNHEyZMUIMGDQqqiQ4yMjK0b9++QlkXAADIH84ZIjs+FZCSkpI0ffr069bbvHmzateubX/8ww8/6P7771fv3r01adIkh7plypTRxYsXXZaRkpLiMuzmrqCgINWpUydPywAAAIXn4MGDuarnUwEpJiZGMTExbr3myJEjGjNmjJo0aaKnn37a5fnw8HCdOnVK58+fdwhEycnJDnOVPGEymRQWFpanZQAAgMKTm+E1yc8naZ88eVIjR45U1apV9corrygoKMilTrt27WQ2m/XBBx/Yy86fP6/PPvtMHTp0KMzmAgAAP+FTPUjuSEtL05gxY3T27FlNmzZNBw4csD8XHBysevXqSZKqVKmi/v37a9asWTKbzapcubIWLlyo0qVLKzY21lvNBwAAPsxvA9KpU6f0008/SZLuu+8+h+eqVaumjz76yP54+vTpKlmypF544QVdunRJTZs21bJly7I9uw0AAMBkGIbh7Ub4o71790r686rcAADAP+T289uv5yABAAAUBAISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwKSH0tMTJTFYnEos1gsSkxM9FKL4A/YbwDg+ghIfsxsNishIcH+YWexWJSQkCCzmV8rcsZ+AwDX57dX0obst0pJSEjQmjVrZLVaFRcXxy1UcE3sNwBwfXxl9HOxsbEKDAyU1WpVYGAgH3LIFfYbALg2ApKfs1gs9g85q9XqMrcEyA77DQBcGwHJj2XNHYmLi9OGDRsUFxfnMLcEyA77DQBcH3OQ/JjNZnOYO5L1v81m82az4OPYbwDg+kyGYRjeboQ/yu3dgAEAgO/I7ec3Q2wAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOuFmthzIyMmQYhv2eLgAAwPelp6fLZDJdtx4ByUO52bgAAMC3mEymXH2GmwzDMAqhPQAAAH6DOUgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEgAAABOCEhecueddyoyMlLffPON26+dM2eOdu3aVQCt+n+RkZFaunRpga7jalu2bFFCQsJ16/3666+KjIxUUlKSy3MpKSmKjIzU+vXr7WVDhgxRZGSkXn75ZZf6ffv21ZQpU9xua2Fsf+f1NWnSxKX8+eef16233qq1a9fay86cOaP69eurSZMmSktLc3nN+vXrFRkZqYYNG+rChQsuzz/88MOKjIzUkCFD7GU7d+5UZGSk9u7day/L2q6RkZG69dZb1aFDB02aNEkHDx7M69stMFu3btXIkSPVsmVLNWjQQNHR0YqPj9f//vc/h3o//vijIiMj1bVr12yXM2fOHPt7d/63aNGiwngrHpsyZYp69+6d7XPPPPOMoqOjJf3/77xZs2ZKSUlxqLdlyxZFRkbq119/dWvdO3fu1IIFCzxreCFwPn5ER0frySefzLau87Eja5+Ii4tzqXv1dnXH+vXrtXHjRrdf56l33nlH/fv3V7NmzdS0aVP16NFD06ZN0+nTp+11rrVNPLF8+XLdfvvtqlu3riZMmCBJ+uGHHzRgwAA1atRIkZGRSklJyff15hYByQsOHDig/fv3S5JHfwBz587Vt99+m9/N8qotW7Zo9erVBbb8VatWZRsIPOEL2//f//63li9frhkzZigmJsZevnnzZlmtVqWmpuqjjz7K8fWBgYH68MMPHcouX76sjz76SGFhYblqQ9OmTbVmzRolJCRo0qRJ2rVrl4YPH67z58979qYK0OzZszVhwgSVKlVKTz31lJYtW6aJEyfq4MGDeuihhxzqZv1NHj16VLt37852eaGhoVqzZo3Lv759+xb4eylMFy9e1IoVK/JlWV999ZUWLlyYL8vyVd9884127tyZL8vasGGDNm3alC/Lup7Fixdr8uTJat68uV588UW9+OKLuueee/T999/r5MmTBbLOw4cP6/nnn1efPn2UkJCgf/7zn5Kkp59+WpmZmVq4cKHWrFmjkiVLFsj6cyPQa2suxjZu3Ciz2awWLVooKSlJ06dPV1BQkLebVWRFRUXp4MGDWrlypSZOnOjt5uTZiy++qCVLluiJJ57QwIEDHZ7btGmTateurYsXL+qdd95Rz549s11G586d9e6776pfv372so8//ljBwcFq1KiRLl++fN12lClTRo0bN5YkNWvWTCVKlNAjjzyi7du359hL4Q3btm3T4sWLNWHCBD3wwAP28hYtWuiee+7Rxx9/bC+z2WzavHmzmjVrpu+//14bN25Uo0aNXJZpNpvt770oa9WqlVatWqURI0aoVKlS3m6OTwsLC1OdOnU0b948tWrVytvNccuqVat09913O/SKdezYUaNHj5bNZiuQdf7vf/+TYRgaMGCAqlevbi9PTk7WoEGDdNtttxXIet1BD1IhMwxDmzZt0m233aYRI0bo3Llz2r59u0OdQ4cOadKkSWrZsqUaNWqkO++80/5NIjIyUpI0a9Yse7f+zp07cxx6cu7ePXnypKZOnarOnTsrKipKd9xxh/7zn/8oPT29gN95zqZMmaINGzbowIED9vfkydBXTipUqKDY2FitXLlSFy9evGbdQ4cO6b777lOzZs3UuHFjjR07VkePHrU/n9P2Lyxz5szRggUL9Pjjj2vQoEEOz/3yyy/69ttv1adPH/Xq1UufffaZzp07l+1yevfurS+++MKh+3zjxo3q1q2bAgM9+95Ur149SdJvv/3m0esLymuvvaYbbrjB3oXvrFOnTvafv/76ax0/flyxsbG6/fbbtXnzZmVmZhZWU33OqFGjdOXKFa1ateqa9QzD0NKlS9WtWzc1aNBAnTt31vLly+3Pz5kzR3PnzlVqaqr97+bqYVxveOONNxQdHa1GjRpp2LBhOnLkSJ6XOWHCBH355ZfXHYJPSUnRv/71L7Vr104NGjRQv3799Nlnn9mfHzJkiL766it98skn9u01Z86cPLfvWu258cYbs33ObHaNCQkJCerUqZOaNWumCRMm6MyZM/bnsobxry6THIclp0yZovHjx0uSunTpYh/ajIyM1Llz5zRv3rzr7iPffvuthg4dqsaNG6tZs2Z6+OGHHY5n+YGAVMh27dqlY8eOqXfv3mrXrp3KlSvn0I16+PBhDRw4UEeOHNG0adM0f/589evXz/6hs2bNGkl//gFldevXr18/1+s/e/asypUrp6lTp2rJkiUaPXq0NmzYoCeeeCJ/36gbJkyYoI4dO6p69er295TTh5mnRo4cqcuXL19zntMvv/yi2NhYnT9/Xs8//7xmz56tM2fOaPjw4fYAmdftnxfz58/X3LlzNXXqVA0ePNjl+az9qHfv3urdu7cyMjKynasl/dmrdtNNN9mfT0lJ0fbt29WrVy+P23fs2DFJ0s033+zxMvKb1WrVrl27dNttt+Wql3bjxo0qUaKEunTpot69e+v06dP6/PPPc1y287+ipkKFCho4cKCWL1+uS5cu5VjvmWee0SuvvKK77rpLixYt0t13363Zs2fbh81jYmLUv39/h6FJbx5zPv74Yz3++ONq1aqV5s6dq9atWzv0LnqqU6dOqlevnl599dUc66Snp2vEiBH65JNP9OCDD2r+/PmqXbu2xo0bZ5968cQTT6hevXr2Yew1a9Y4DKXnt/r168tisWjt2rX6448/rln3o48+0kcffaT4+HhNmzZNX3/9tZ566im31jdhwgQ98sgjkv6csrBmzRq1atVKa9asUVhYmPr373/NfeTbb7/VkCFDVLp0ab344ot66qmntHfv3nz/3GCIrZBt2rRJISEhuuOOOxQUFKRu3brpnXfe0aVLl1SyZEnNmTNHQUFBWr16tb1Lu02bNvbXZ3XrV61a1aGLP6eeAmeRkZF69NFH7Y+bNm2qEiVKaMqUKYqPj1eJEiXy/B7dVaNGDVWoUEG//fZbgQ1bVKpUSQMGDNCyZcs0ZMiQbOfZzJ07V2XLltWyZcsUEhIi6c/t07lzZ61du1ZxcXE5bv+ClpqaqpdeekkxMTEaPnx4tnXeffddNW7c2N5dHR4ero0bNyo2Njbb+r169dK7776ruLg4vf/++6pQoYJatGiR6zknhmHIarXKZrPp4MGDmj17turVq6cuXbp49B4Lwrlz55Senq6bbrrpunXT09P1wQcfKDo6WmFhYbr99ttVunRpbdy4Ue3bt3eom5qamm0wTkhIUPPmzfOt/b5g1KhRWr16tRITEzVmzBiX548eParXX39dM2bMsA/5tmnTRmlpaXr11Vc1cOBAValSRVWqVPGZocn58+erefPmeu655yRJ7du315UrVzRv3rw8L/u+++7T/fffrz179igqKsrl+Y0bN+qnn37S22+/rTp16tjXf+TIEc2bN08vv/yy6tSpo1KlSiksLKxQttcTTzyhSZMmafr06ZL+/JLTqVMnDR8+3OULj2EYmj9/voKDgyX9+cVo4cKFstls2fY2ZadGjRqqVauWJKlu3br2dVSrVk0BAQGqUqXKNd/3Cy+8oAYNGmju3LkymUySpIiICPXu3Vvbtm1Tx44d3Xr/OaEHqRBZrVYlJSWpY8eOKl26tCSpT58+unz5sn3C7Jdffqlu3boV2Hi/YRhavny5evbsqaioKNWvX1+PPPKIrFarfvnllwJZpyeyPnyz/uXHMMfo0aN18eLFHCeD79ixQ9HR0QoICLCvt0yZMqpXr56+//77PK8/L0JDQ9WiRQtt2rRJ//3vf12e/+mnn3TgwAGHuT+9evXSf//73xyHvHr16qVdu3bp999/17vvvquePXvm+gAn/Tm3p379+mrYsKHuvvtunTp1Sq+++qr9wOlLsg6i1/Lpp5/q/Pnz9m0YHBysrl276sMPP3Q5IzA0NFTr1q1z+Ve3bt0Cab83Va5cWf3799eyZcuynZuW1cN2xx13OPzNtmnTRn/88Yd+//33wm7yNWVmZuqHH35wOUuxW7du+bL8rl27KiIiIsdepB07digiIkI1a9Z02V5XnylamCIiIrRp0yYtWrRIQ4cOVenSpbVq1Srdeeed2rdvn0PdFi1aOPyN165dWxkZGfk+vJWTy5cva9euXerevbsyMzPt269mzZqqWrVqvm5DAlIh2rFjh86cOaNOnTopJSVFKSkpioiIUKVKlezDI+fOnctxLDg/rFixQjNnzlTnzp01b948rV27VvHx8ZKkK1euFNh63fXVV1+pfv369n9ZvSZZ82OymziYFaJymkNTpUoV9evXT6+99lq2p8CfPXtWK1ascFhv/fr19c0333j9IG82mzV//nzVrFlT48ePt3fFZ3nnnXdkNpvVrl07+77VsWNH+5y37EREROhvf/ubli9frp07d7o9sbpZs2Zat26dLBaLJk+erJSUFP3jH/8osEmdnihXrpxCQkJyNS9q48aNKl26tBo3bmzfhp06dcr2jECz2ayGDRu6/PPmGTe5ERAQkOOXDZvNluPfzpgxY5SSkmIfYr7a2bNnZRiGbrvtNoe/mxEjRkiS1/92nJ05c0ZWq1UVKlRwKL/hhhscHnu6rUwmk8aPH69PPvlEP/zwg8vzZ8+e1Y8//uhynJk/f76OHz/u4bvKu+DgYHXs2FHTpk3TW2+9pSVLlth7Aa9WpkwZl9dJhff5kZKSoszMTD333HMu2/C3337L1/2NIbZClHX68NSpUzV16lSH586ePavTp0+rXLlyHp1WmTUklJGR4VDufA2TpKQkRUdH6+GHH7aXHTp0yO31FbT69etr3bp19sdZHzzlypWT2WzOdpw8a7tVrFgxx+WOGzdO69evz/ZAX7ZsWXXs2NFl8vPV6/em0qVLa+nSpbr33nvtwx7Vq1eXYRjavHmzbDabunfv7vK6jRs3auzYsdkus1evXnr55ZdVo0YNNWjQwO32NGzYUJLUpEkTmc1mPf/880pKSsrx7LnCFhgYqKZNm+rLL7+U1WrN8UPt4sWL+uSTT5SWlqbWrVu7PH+tMwL9SYUKFXTq1Klsnzt58qRLaMhy00036e6779aSJUtcjl1ly5aVyWRSYmJitvO8soZSfEWFChUUGBjoMonYebtcb1td6zjTo0cPzZkzR/PmzXMZ3i1btqwiIyP1zDPPePgOCkf79u116623uv35kNvPIk+VLl1aJpNJ48aNy3Y4v3z58vmyHomAVGguX76srVu3qkuXLho6dKjDc6dOndI//vEPbd68Wa1bt9b777+vRx55JMdhtqCgIJe0XrFiRQUFBTnszOnp6fr6668d6qWlpbkcxArzYmQ5cX5PpUqVsn/4Xi00NFQNGzbU1q1bNWzYMIfntmzZopCQkGxfl6VatWq68847tWTJEpft27p1ax04cED16tVTQEBArttamCpWrKjXXntN9957r0aOHKnExEQdPnxYv//+u+6//361aNHCof727du1ePFi7d+/334G3tV69+6tPXv2qHPnznlu2+DBg/X6669r4cKFPhUmRowYobFjx2rBggWaNGmSy/Pbtm3T2bNnlZaWphkzZrh8oGddj+bcuXMqV65cIbW6YLRo0UKLFi3S119/7bCvXLx4UTt37nS5bMTVxo4dq/Xr1+uNN95wKM8KlOfOnbvmBRGDgoK8erZsloCAANWrV08ffvihw3y+999/36FeixYttGbNGl24cME+JUL681pH586du+ZcM7PZrPHjx2vKlClq2bKlw3Nt2rTRtm3bdOONN6py5co5LqMwjzOnTp1y6UFLS0vT77//bp8nlVtZ7yk5Odn+86FDh/KtZydrXlZycvI1j/X5gYBUSLZu3arU1FQNGTIk22tkLFmyRJs2bdLMmTP1ySefaNCgQRo9erQqVaqkQ4cO6fLly/YJkuHh4dq6dauaN2+uEiVKqFatWipVqpS6du2qhIQE3XLLLSpfvrxef/11GYbhMP+iTZs2WrlypV5//XXVrFlT77zzTr6c3ppXtWvX1ptvvqlNmzbZ25/T2VD333+/xo4dq0mTJqlv374KCQnRl19+qeXLl2vMmDEuXcDOxo0bp7feeksnT550uMbN3//+d/Xv31+jRo3SgAEDdMMNN+jUqVP66quv1Lx5c/sQVE7bv7DcfPPNWrp0qQYPHqzRo0erXr16CgsL04gRI1x6urKG0DZt2pRtQLr55pvzZWKq9OcBffz48Zo+fbo+/fRTdejQIV+Wm1dZ13OZM2eODh48qF69eql8+fL69ddf9eabb+rChQuqWLGiqlWrpoEDB7rMVypbtqw2bNigpKQk+4R3m82m7777zmVdFStWdLimi69p166dmjdvrkmTJmnixIn629/+ppMnT2rJkiUym83XPK26evXq6tOnjzZs2OBQXqtWLcXFxWny5MkaNWqUGjVqpIyMDB0+fFg7d+6071+1a9eW1WrVihUr1KRJE5UqVUrh4eEF+n5zMn78eE2YMEFTp05Vz5499cMPP+jtt992qDN06FCtW7fOfiy+8cYbdeDAAb366qtq3ry52rZte8119OnTR6+++qp27typatWq2cvvuusuWSwWDR06VCNHjlTNmjV14cIF/fjjj8rIyLD37oeHh+utt97SRx99pEqVKl03UOVFnz591KlTJ7Vr10433nijTpw4oddff11nz551+SJ6PY0aNVLVqlX17LPP6uGHH9bFixe1aNGifP1yMXnyZA0bNkwPPvigevXqpTJlyuj48eP6/PPP1a9fv3y7DhVzkArJpk2bdNNNN+X4i7vrrrv03XffyWw2y2KxqFq1apoxY4buu+8+rVu3zuEPLD4+XoZhaMyYMerfv799nPvxxx9Xy5Yt9fTTTys+Pl7t27d36YKcOHGi+vTpo1deeUX/+Mc/FBISYj9zwZv69++v7t2766mnnlL//v01d+7cHOu2b99eS5Ys0blz5zR58mRNmDBBn376qaZOnaoHH3zwuuu65ZZbsj2d/ZZbbtHatWtVrlw5zZgxQ6NGjdLs2bN1+fJlh3CR0/YvTBEREVq4cKGOHDmiLVu2qH379tkOA1aoUEEdO3bUpk2bZBhGgbfrrrvu0s0336zFixcX+Lrc8c9//lOvvvqqzp8/r8cee0zDhw/XK6+8olq1aunJJ5/UF198oTvvvDPbydy33nqr6tat69DTmpaWpoEDB7r88+VbaUh/9mwsXLhQffv21bJlyzR69Gg9++yzCg8Pl8Viue78x3HjxmXbuzp9+nQ9+OCD2rx5s8aOHavJkyfrvffec+g96dSpkwYNGqRFixZpwIABXj3Nv3PnzpoxY4a++OILTZw4UTt27NBLL73kUOfGG2+UxWJReHi4nn32WY0ePVrLli1T3759tXDhwuue0BAQEJDt0HZwcLBWrlyp22+/XQsWLNCoUaP0r3/9S99//72aNWtmrzdmzBg1bdpUjz76qPr37+/Sc5efJk2apJMnT+r555/X8OHD9fzzz6tkyZJavny522elBgUFae7cuQoJCdEDDzyghQsXaurUqfka7po2barExESlpqZq6tSpGjt2rObNm6fQ0FDdcsst+bYek1EYR00AAAA/Qg8SAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAEwISAACAk/8DahHtIJCqFSAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:'orange'}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data3,\n",
    "    notch=False, showcaps=False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'Shuffle'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d92e661d-060e-4bff-ae6e-5ba01e6ddba4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a96f3530-8233-4e76-b657-d4736e0635e9",
   "metadata": {},
   "source": [
    "# Graph Embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "ed174f9f-0032-4c8b-8941-728aed1c2771",
   "metadata": {},
   "outputs": [],
   "source": [
    "graphembed = pd.read_csv(path+'sdr_ge.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "1476b1c3-1a13-49fa-9917-578f3987fe08",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], test1['Pred Overall sdr'], \n",
    "         kamir1['Overall sdr'], dca1['Pred Overall sdr'], \n",
    "         unet['Pred Overall sdr'][:100], iwaveunet['Pred Overall sdr'][:100],\n",
    "        graphembed['Pred Overall sdr'][:100]]\n",
    "data2 = [test2['Overall sdr'][:25], test2['Pred Overall sdr'][:25], \n",
    "         kamir2['Overall sdr'][:25], dca2['Pred Overall sdr'][:25], \n",
    "         unet['Pred Overall sdr'][:25], iwaveunet['Pred Overall sdr'][:25],\n",
    "        graphembed['Pred Overall sdr'][:25]]\n",
    "data3 = [test2['Overall sdr'][25:], test2['Pred Overall sdr'][25:], \n",
    "         kamir2['Overall sdr'][25:], dca2['Pred Overall sdr'][25:], \n",
    "         unet['Pred Overall sdr'][25:50], iwaveunet['Pred Overall sdr'][25:50],\n",
    "        graphembed['Pred Overall sdr'][25:50]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "fff9d8c0-2d72-49f8-a57e-9e5960086c21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'GE'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a3d39eef-0551-4e96-84f8-5e0b38ae40bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data2,\n",
    "    notch=False, showcaps=False, showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'GE'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "dfe4b669-acd7-4d64-803a-ab157c12ca27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data3,\n",
    "    notch=False, showcaps=False, showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'GE'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d51647d-d386-4060-bd2b-721cc4463b14",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "0db8d33a-cbba-4c0c-a7c6-2c363b02c0fb",
   "metadata": {},
   "source": [
    "# Graph Embeddings TypeIII"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "facdc938-1fcc-4f8b-a97d-154ce895f6f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "type3 = pd.read_csv(path+'type3.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "503feba7-c304-4a2f-ae93-dffc6b4a5fa3",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], test1['Pred Overall sdr'], \n",
    "         kamir1['Overall sdr'], dca1['Pred Overall sdr'], \n",
    "         unet['Pred Overall sdr'][:100], iwaveunet['Pred Overall sdr'][:100],\n",
    "        graphembed['Pred Overall sdr'][:100], type3['Pred Overall sdr'][:100]]\n",
    "data2 = [test2['Overall sdr'][:25], test2['Pred Overall sdr'][:25], \n",
    "         kamir2['Overall sdr'][:25], dca2['Pred Overall sdr'][:25], \n",
    "         unet['Pred Overall sdr'][:25], iwaveunet['Pred Overall sdr'][:25],\n",
    "        graphembed['Pred Overall sdr'][:25], type3['Pred Overall sdr'][:25]]\n",
    "data3 = [test2['Overall sdr'][25:], test2['Pred Overall sdr'][25:], \n",
    "         kamir2['Overall sdr'][25:], dca2['Pred Overall sdr'][25:], \n",
    "         unet['Pred Overall sdr'][25:50], iwaveunet['Pred Overall sdr'][25:50],\n",
    "        graphembed['Pred Overall sdr'][25:50], type3['Pred Overall sdr'][25:50]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "627644a4-2962-4e88-837e-64f334946eb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'GE', 'T3'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "852d624e-1ea1-45ea-87f2-93b1d938a572",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAG4CAYAAABBxj3JAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABJhElEQVR4nO3dd3QU9f7/8demE3qQXqTkEkMLIBDAggQQaVdAkCIR6SggYqF4AS9eRPBioSO9ikhTCBgFvEavKIpcKUoJKEUUaUEI6cn8/uCb/WVNILvJJrs7PB/n5JzNzGdn3jOz5bUzn5mxGIZhCAAAwMS8XF0AAABAQSPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0/NxdQEA8u7YsWOaN2+eDh06pEuXLqlUqVIKDg5WRESEIiMjre0iIiJ07tw5SZLFYlGxYsVUsWJFNWzYUD169FBYWFi2aYeEhNj8X7RoUdWpU0eDBw/WQw89lGttv/76q9q0aaOxY8dq0KBB+VtQFJi1a9eqSJEi6t69u6tLAQoUgQfwUPv379eTTz6pSpUqqWfPnipbtqx+//13HThwQKtWrbIJPJIUGhqqAQMGSJJu3Lihn3/+WdHR0frggw/01FNPacKECdnmcd999+nRRx+VYRj67bfftG7dOg0fPlyLFy/WAw88UCjLiYK1bt06lS5dmsAD0yPwAB5q4cKFKl68uDZu3KgSJUrYjLt8+XK29uXLl9ejjz5qM+zFF1/UCy+8oBUrVujuu+9W3759bcZXr17d5jnt27dXx44dtWrVKo8MPAkJCQoMDHR1GQBcgD48gIc6c+aMgoODs4UdSSpTpoxd0wgICNAbb7yhUqVKaeHChTIM47bta9WqpdKlS+vMmTN5qnnz5s0KCQnRvn37NHXqVDVv3lxNmjTR5MmTlZKSomvXrmns2LFq2rSpmjZtqjfeeMOmpl9//VUhISFaunSpVqxYodatW6tBgwbq16+fjh8/bjOv8ePHq1GjRjpz5oyGDBmiRo0a6cUXX5R0M/hMnz5drVq1Ur169dS+fXstXbrUZl6dO3fOtpdMkjIyMvTAAw/o2WeftRm2YsUKderUSfXr11fLli01efJk/fnnnzbPjYiI0LBhw7R37151795dDRo0UJcuXbR3715J0qeffqouXbqofv366t69u3766ads8z958qSeffZZNWvWzNpu9+7dOa7n77//Xq+//rqaN2+uhg0basSIEbpy5YpNPbGxsfr2228VEhKikJCQHJcZMAMCD+ChKleurB9//DHbF72jihYtqrZt2+qPP/7QiRMnbtv2+vXrunbtmkqWLJmveU6dOlWnTp3SqFGjFBERofXr12vWrFkaPny40tPTNWbMGN17771aunSpPvroo2zP//DDD7Vq1Sr17dtXQ4cOVWxsrPr3769Lly7ZtEtLS9OgQYNUpkwZjRs3Tg8//LAMw9DTTz+tFStW6IEHHtCECRNUo0YNvfHGG3r99detz+3QoYP27dunixcv2kzz+++/14ULF9SxY0frsMmTJ+vf//63GjdurH/84x/q3r27tm3bpkGDBik1NdXm+adPn9YLL7ygiIgIPf/88/rzzz81fPhwbd26Va+//rq6dOmiUaNG6cyZM3ruueeUkZFhfW5sbKx69eqlkydPasiQIRo/frwCAwM1YsQI7dy5M8f1fPToUY0cOVJ9+vTRf/7zH7366qvW8S+//LIqVKigmjVr6o033tAbb7yh4cOH27kVAQ9jAPBI//3vf43Q0FAjNDTU6NWrl/HGG28YX375pZGSkpKtbevWrY2hQ4feclrLly83ateubezatcs6rHbt2sbLL79sXL582bh8+bJx6NAhY9CgQUbt2rWNJUuW5Frf2bNns7XdtGmTUbt2bWPgwIFGRkaGdXivXr2MkJAQY/LkydZhaWlpxoMPPmj069cv2zQbNGhgnD9/3jr8wIEDRu3atY1p06ZZh40bN86oXbu2MXPmTJu6du7cadSuXduYP3++zfBRo0YZISEhxunTpw3DMIyff/7ZqF27trF69Wqbdv/85z+Nhg0bGomJiYZhGMZ3331n1K5d29i6datNuy+++CLb8NatWxu1a9c29u/fbx325ZdfWpfp3Llz1uHvv/++Ubt2beObb76xDuvfv7/RuXNnIzk52TosIyPD6NWrl/Hwww9nW89PPfWUzXqeNm2aERoaaly7ds06rFOnTjbrGDAr9vAAHuq+++7T+++/r4iICB09elRLlizRoEGD9OCDD2Y7xJGbokWLSrrZmTmrjRs3qkWLFmrRooUee+wxffPNNxo8eLC183Ne9ejRQxaLxfp/gwYNZBiGevToYR3m7e2tevXq6ezZs9me37ZtW5UvX97m+WFhYYqJicnWtk+fPjb/f/HFF/L29s526GbgwIEyDENffPGFJKlGjRoKDQ3Vjh07rG3S09P1ySefKCIiQgEBAZKk6OhoFS9eXPfdd5+uXLli/atbt64CAwOth6syBQcHq1GjRtb/M8+Qa968uSpVqpRteObyX716Vd988406dOig+Ph463zi4uJ0//3369SpU/rjjz9s5vX444/brOcmTZooPT3desYecCeh0zLgwRo0aKC5c+cqJSVFR48e1a5du7RixQqNHj1aH374oYKDg+2aTmbQyQw+mdq0aaN+/fopNTVVhw4d0sKFC5WUlCQvr/z9Vsr6xS5JxYsXlyRVrFgx2/C/9oORpLvvvjvbsOrVq+vjjz+2Gebj46MKFSrYDDt37pzKlSunYsWK2QyvVauWdXymjh076q233tIff/yh8uXL69tvv9Xly5fVoUMHa5vTp0/r+vXratGiRY7L+tcO5Dkto6RsdWbWd+3aNUk3+2wZhqFZs2Zp1qxZt5xX1iD41/Wc2d8rc5rAnYTAA5iAn5+fGjRooAYNGqh69eqaMGGCoqOjNXLkSLueHxsbKyl7kKhQoYJatmwpSWrVqpVKly6tV199VeHh4Xr44YfzXO+tAlN+g9Rf+fn55WuaHTp00JtvvqmPP/5YTz31lD7++GMVL15cDz74oLVNRkaGypQpo5kzZ+Y4jaCgIJv/vb29c2x3q+HG/3WkzuzLM3DgwFueIVetWjWb/2+17EYundMBMyLwACZTr149SdKFCxfsan/jxg3t2rVLFStWtO7luJVevXppxYoVeuedd9SuXTubwyWF6fTp09mGnTp1SpUrV871uZUrV9bXX3+t+Ph4m708P//8s3V8pqpVq6pBgwb6+OOP1a9fP3366adq27at/Pz8rG2qVaumr7/+Wo0bN7Ye5ioIVatWlST5+vpaQ6gzuGobAoWNPjyAh/rmm29y/KWe2Y+lZs2auU4jKSlJY8eO1dWrVzV8+PBcv/x8fHw0YMAAnTx50uF+Qs60a9cum/4qBw8e1IEDB2z2vNzKgw8+qPT0dK1du9Zm+IoVK2SxWLJNo2PHjvrhhx+0adMmxcXF2RzOkm7uBUpPT9f8+fOzzSstLc1ph4/KlCmjZs2aaf369TmG2aynmzuiSJEiHOLCHYE9PICHmjp1qhITE9WuXTvVrFlTqamp2r9/vz7++GNVrlw525Vz//jjD+sp3gkJCTp58qSio6N18eJFDRw4UL1797Zrvt27d9fs2bO1ePFitW3b1unLZY9q1aqpT58+6tOnj1JSUrRq1SqVKlVKgwcPzvW5ERERCg8P19tvv61z584pJCREX331lXbv3q3+/ftnOyzUoUMHzZgxQzNmzFCpUqWy7V1p1qyZevXqpXfffVdHjhzRfffdJ19fX506dUrR0dH6xz/+oUceecQpy/3KK6+ob9++6tKlix5//HFVrVpVly5d0g8//KDz589r69atDk+zbt26WrdunebPn6+7775bQUFBt+yPBHgyAg/gocaOHavo6GjFxMRo/fr1Sk1NVaVKldS3b189/fTT2S5IeOTIEY0dO1YWi0VFixZVxYoV1bp1a/Xs2VMNGjSwe74BAQHq16+f5syZo7179yo8PNzZi5arrl27ysvLSytXrtTly5fVoEEDTZo0SeXKlcv1uV5eXlqwYIFmz56tHTt2aPPmzapcubLGjh2rgQMHZmtfoUIFNWrUSPv371fPnj3l6+ubrc2rr76qevXq6f3339fbb78tb29vVa5cWX//+9/VuHFjpyyzdPMMr02bNmnu3LnasmWLrl69qqCgINWpU0cjRozI0zRHjBih3377TUuWLNGNGzfUrFkzAg9MyWLQew2Ah+CGpADyij48AADA9Ag8AADA9Ag8AADA9OjDAwAATI89PAAAwPQIPAAAwPS4Do+k//3vfzIMI8frawAAAPeUmpoqi8WiRo0a5drWrQLP6dOntXTpUh04cECxsbGqWbOmoqKibNokJiZq/vz52rFjhy5duqQKFSqoW7duGjx4sHx88rY4hmFwMz0AADyMI9/dbhV4YmNjFRMTo7CwMGVkZOS4IK+++qo+/fRTPf/886pVq5Z++OEHzZ49W4mJiRozZkye5pu5Z6d+/fr5qh8AABSeQ4cO2d3WrQJPRESE9d4848eP1+HDh23GZ2Rk6OOPP9agQYP0xBNPSJKaN2+uX375Rdu3b89z4AEAAObmVp2WvbxuX45hGEpLS1Px4sVthhcvXpxDUgAA4JbcKvDkxtvbW927d9eaNWt08OBB3bhxQ3v27NFHH32kfv36ubo8AADgptzqkJY9XnnlFb3yyivq2bOnddiwYcM0YMCAfE3XMAwlJCTktzwAAFBIDMOQxWKxq63HBZ6ZM2fq888/19SpU1W9enX98MMPmjdvnkqUKKHBgwfnebqpqak6cuSIEysFAAAFzc/Pz652HhV4jh8/rmXLlmnBggWKiIiQJDVt2lRpaWmaNWuWevfurWLFiuVp2r6+vgoODnZmuQAAoACdOHHC7rYeFXgyFyw0NNRmeJ06dZSSkqI//vgjz4HHYrEoMDAw3zUCAIDCYe/hLMnDOi1XrlxZkvTjjz/aDD98+LAsFosqVarkirIAAICbc6s9PImJiYqJiZEknTt3TvHx8YqOjpYkNWvWTPXq1VO9evX0yiuv6PLly6pWrZoOHjyoRYsW6bHHHlORIkVcWT4AAHBTFsONLmDz66+/qk2bNjmOW7VqlcLDw3Xx4kXNmjVLe/bs0eXLl1WhQgV17txZQ4YMUUBAQJ7mm3mlRq60DACA53Dk+9utAo+rEHgAAPA8jnx/e1QfHgAAgLwg8AAAANMj8MAlDMPg/mcAgEJD4EGhMwxD48aN07hx4wg9AIBC4VanpePOkJycbL2NR3Jycp7PrgMAwF7s4QEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKZH4AEAAKbn4+oCsjp9+rSWLl2qAwcOKDY2VjVr1lRUVFS2dteuXdPs2bMVHR2tP//8U+XLl1ffvn01cOBAF1QNAADcnVsFntjYWMXExCgsLEwZGRkyDCNbm4SEBEVGRsrb21svv/yyypQpo1OnTik+Pt4FFQMAAE/gVoEnIiJCbdu2lSSNHz9ehw8fztZm0aJFunHjhrZu3arAwEBJUnh4eKHWCQAAPItb9eHx8sq9nI0bN+qxxx6zhh0AAIDcuFXgyc2vv/6qixcvqnTp0ho+fLjq1aunZs2aaeLEibpx44arywMA4I5jGEaOXVDcjVsd0srNpUuXJEkzZszQww8/rMWLF+vUqVN68803lZCQoLfeeivP0zYMQwkJCc4qFbeRlJRkfZyQkKCMjAwXVgMAyCvDMDR58mRZLBZNmTJFFoul0Odv7zw9KvBkfjHWqFFDM2bMkCS1aNFCPj4+mjhxosaMGaOqVavmadqpqak6cuSI02rFraWkpFgfHzt2TH5+fi6sBgCQVykpKTp+/Lgk6eDBgy75PLd3nh4VeEqWLCkpeyfl5s2bS7p5lldeA4+vr6+Cg4PzVyDsknUPT0hIiAICAlxYDQAgr1z9eX7ixAm723pU4Klateptk1xycnKep22xWOgIXUiydk4PDAwk8ACAh3L157kjh9A8qtOyn5+f7rvvPn399dc2w/fs2SNJqlu3rivKAgAAbs6t9vAkJiYqJiZGknTu3DnFx8crOjpaktSsWTMFBQVp5MiR6t27t1544QV169ZNp0+f1ptvvqkuXbqoWrVqriwfAAC4KbcKPJcvX9bo0aNthmX+v2rVKoWHh6tevXpavHixZs6cqaefflolS5ZUr169NGbMGFeUDAAAPIBbBZ4qVaro2LFjubZr0aKFNm3aVAgVAQAAM/CoPjwAAAB5QeABAACmR+ABAACmR+ABAACmR+ABAACmR+ABAACmR+ABAACmR+ABAACmR+ABAACmR+ABADiVYRgyDMPVZQA2CDwAAKcxDEPjxo3TuHHjCD1wK251Ly0AgGdLTk7WkSNHrI8DAgJcXBFwE3t4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6XHhQeSbYRhKTk62u31SUlKOj+3l7+8vi8Xi8PMAAHcuAg/yLTk5WT179szTcyMjIx1+zoYNG7h6KwDAIRzSAgAApsceHjhV/5JB8rXjcFPmTQXtPTSVahha+eeVfNUGALhzEXjgVL4Wi12BR/TBAQAUIg5pAQAA0yPwAAAA0yPwAAAA03OrwHP69GlNnjxZjz76qOrUqaPOnTvftv2uXbsUEhKSazsAAHBnc6tOy7GxsYqJiVFYWJgyMjKsZ/LkJCkpSdOmTdNdd91ViBUCAABP5FZ7eCIiIhQTE6PZs2erbt26t2377rvvqlKlSnrggQcKqToAAOCp3CrweHnZV86ZM2e0fPlyTZw4sYArAgAAZuBWh7Ts9dprr+nRRx/VPffc4+pSAMDUuFee/Ry9oCoKl8cFns8++0z/+9//FB0d7dTpGoahhIQEp07zTpGXD7X8SEhIUEZGRqHOE7hTJSUlqX///nl6bl7ulbdy5UqPvFeeYRiaPHmyLBaLpkyZcseEnqyf/674bDYMw+517VGBJzk5WdOmTdOoUaMUFBTk1GmnpqbqyJEjTp3mnSIlJaVQ53fs2DH5+fkV6jyBOxXvb/ukpKTo+PHjkqSDBw965DLkRdbXh6u2nb3z9KjAs3LlSnl5ealTp066du2apJtBJSMjQ9euXVNAQECeV7avr6+Cg4OdWe4do7D38ISEhHjkL0DAE2V9f9fo87S8fHxzfY6jh3Yy0lL1y7oFkjz3/Z11PXnqMuSFq5f7xIkTdrf1qMDz888/6/Tp02rRokW2cU2bNtU///lP9enTJ0/TtlgsCgwMzG+JdyR7O5s7S2Bg4B3zYQK4Wtb3t5ePr7x8C/YXvKe+v7OuJ09dhrxw9XI7cujQowLPkCFD1K1bN5thixYt0i+//KLXX39d1atXd01hAACYgJk7qbtV4ElMTFRMTIwk6dy5c4qPj7d2Tm7WrJlq1aqlWrVq2Txny5Yt+uOPPxQeHl7o9QIAYCbJycnq2bNnnp6bl07qGzZsKLS9Qm4VeC5fvqzRo0fbDMv8f9WqVYQaAACQJ24VeKpUqaJjx4459Jzp06cXUDUAAOnmYY709HSlJiXKKz3d6dPPSE1RWlqavL29nT5t5F1YWJhdfTQd7qSekaEDBw7kq7a8cKvAAwBwL4ZhaM+ePYqLi5OcfP2zvypduvRt76GIwuXl5WWqEOpWt5YAADMxDIMvcMBNsIcHAAqAYRgaN26cJGnGjBkee+Vdi8Wili1bKj09XTX7PF0gp6VnpKbo53UL5O3t7bHrCe6PwAMABSA5Odl69fbk5GSPvi6LxWKRj4+PfAOKFEzg8faWjw9fRyhYvMLgFJmdGpPSUpUu5/9CS5VBp0YAQJ4ReJBvWTs1FmyXRjo1AgDyhk7LAADA9NjDg3zL2qnxqVJB8i2gQ1orrl6hUyMAIE8IPHCKzE6NAT6+8i2AQOJtGHRqBADkGYe0AACA6RF4AACA6RF4AACA6RF4AACA6RF4XIx77dxZ2N4A4BoEHhfKvNfOuHHj+BK8A7C9AcB1OM/Xhcx0rx3kju0NAK7DHh4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6BB4AAGB6bnW39NOnT2vp0qU6cOCAYmNjVbNmTUVFRVnHx8fHa/ny5YqJidGpU6fk5+enBg0aaMyYMQoJCXFh5QAAwJ251R6e2NhYxcTE6O6771atWrWyjf/tt9+0fv163XfffXrnnXf0r3/9S9evX1evXr108uRJF1QMAAA8gVvt4YmIiFDbtm0lSePHj9fhw4dtxlepUkU7d+5UkSJFrMOaN2+uiIgIvffee5o0aVKh1gsAgNkYhqH09HSlpKTI29vb6dNPT09XWlpagUz7dtwq8Hh53X6HU2BgYLZhRYsWVbVq1XThwoWCKgsAgDuCYRjas2eP4uLiFB0dXaDzKl26tAzDKNB5ZOVWh7Ty4tq1a9b+PgAAADlxqz08efHvf/9bFotFffr0ydd0DMNQQkKCk6qyT1JSkvVxQkKCMjIyCnX+zpJ1OQqDp64rs2xv2Mcs25v3t33MtL1btmyp9PR0hYWFFdghrQMHDsjb21uJiYn52stjGIYsFotdbT068GzatEkffPCBpk+frgoVKuRrWqmpqTpy5IiTKrNPSkqK9fGxY8fk5+dXqPN3lqzLURg8dV2ZZXvDPmbZ3ry/7WOm7W2xWOTj4yM/P78CCzw+PjfjhzPWlb3P99jAExMTo8mTJ+uZZ55Rt27d8j09X19fBQcHO6Ey+2X9RRASEqKAgIBCnb+zFPYvQE9dV2bZ3rCPWbY372/7sL3zJr/r6sSJE3a39cjA88MPP2j06NHq2rWrRo8e7ZRpWiyWHDtFF6SsnbQDAwM99g2SW2dzZ/PUdWWW7Q37mGV78/62D9s7b/K7ruw9nCV5YOA5ceKEhg0bpubNm2vKlCmuLgfAHcIwDCUnJ9vdPusv5bz8avb393fowxzA7blV4ElMTFRMTIwk6dy5c4qPj7eeFtesWTMZhqFBgwbJ399f/fv3t7lOT7FixQr9kBSAO0dycrJ69uyZp+dGRkY6/JwNGzZ47F4CwB25VeC5fPlytkNUmf+vWrVKknT+/HlJ0lNPPWXTrlmzZlq9enXBFwkAADyOWwWeKlWq6NixY7dtk9t4AChoRf/WVRav3D8+M0+3tffQlJGRphuxH+anNAC34FaBBwA8gcXLx67AQw8cwH0QeAAA+As6qZsPgQcAgL+gk7r5ePy9tAAAAHLDHh4AAG5jWocj8vPO/d5YmbeEsvfIVEq6l17+ODQflcERBB4AAG7DzztD/j55v8HlrXnmDUY9FYe0AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6RF4AACA6XGlZQCAXTLSUu1qZ/zfPRbsvfu3vdMF8oPAAwCwyy/rFri6BCDPOKQFAABMjz08TmQYhpKTk+1un5SUlONje/n7+9u9yxjOx/bGncDf318bNmywu31SUpIiIyMlSatXr1ZAQIDD8wMKAoHHiZKTk9WzZ888PTfzA8IRGzZscPjDBM7D9sadwGKx5Pl1FxAQwGsWboPAAwAAssnIyLCrncOd1O2crrMReApI6Y53y+KT+8Z39IVipBmK23E6X7XB+Z55soF8fXLvEufo9k5Ny9D8VQfzVRsA5MWBAwdcXYJTEXgKiMXHIosdX4CO98hwTTLG7fn6eMnP19vVZQAAboHAAwAAJJm7kzqBBwAASDJ3J3UCDwAAOTAMQ+np6UpIzlB6uuH06SenWZSWliZvbw6HFwYCDwAAf2EYhvbs2aO4uDhFRxfknE6rdOnS1hMaUHAIPABgp8xf/GmpybJY0gpg+uke/4vf399foaGh1seAu3CrwHP69GktXbpUBw4cUGxsrGrWrKmoqKhs7TZs2KAlS5bot99+U40aNTRmzBi1bt3aBRUDuFNk/cVfwD/5PfoXv8Vi0YwZM6yPPZXFYlHLli2Vnp6uaR2OyN+nYA5pvfxxqLy9vT16XXkKtwo8sbGxiomJUVhYmDIyMnJ8w2/fvl2TJk3S8OHD1bx5c+3YsUMjR47U2rVr1bBhw8IvGgBgwyxf3haLRT4+Pgr09yqQwOPtfXP6KBxutaYjIiLUtm1bSdL48eN1+PDhbG1mz56tTp066bnnnpMkNW/eXMePH9e8efO0ePHiwiwXwB0k6y/+YrW7yWJx/mEnw0hX/PEt/OIHCoBbBR4vr9tfqO/s2bM6deqUXnrpJZvhHTt21BtvvKGUlBT5+fkVZIkA7mCZv/h9fP1l8XL+x6eRkcYvfqCA5H4pYDfy888/S5Jq1KhhM7xWrVpKTU3V2bNnXVEWgFwYhuGxfVIAmEOB/pT47rvv1LRpU6dN788//5QklShRwmZ45v+Z4/PCMAwlJCTkvTjdvOJkYUpISHDZTdiyYrkLh7sst6MMw9DkyZNlsVg0ZcoUjz1Uw/a+s7C97ZN1PbliGQzDsPszpUACz+7du7V48WIdOHBAR44cKYhZOF1qamq+a01JSXFSNfY5duyYWxzCY7kLh7sst6NSUlJ0/PhxSdLBgwc9chkktvedhu1tn6zryVXLYO88HQ48X331lVatWqUzZ86oZMmSeuSRR/TUU09Jknbt2qV33nlHJ0+eVKlSpTRixAhHJ39bJUuWlCRdv35dZcuWtQ6/du2azfi88PX1VXBwcL7qK+xfBCEhIW5xGW+Wu3C4y3I7Kut68tRlkNjedxq2t31c/f4+ceKE3W0dCjwxMTEaPny4DMNQ6dKldebMGR04cECXL19WYmKi1qxZo2rVqmny5Mnq3r270y86VbNmTUk3+/JkPs7839fXV1WrVs3ztC0WiwIDA/NVX26drp0tMDDQLd4gLHfhcJfldlTW9eSpyyCxve80bG/7uPr97cghcocCz5IlS1SuXDktW7ZMtWrV0vXr1zVmzBitWLFCFotFkyZNUu/evQvsKqFVq1ZV9erVFR0dbT19XZJ27NihFi1aeOTuQAAAUPAcCjw//fSThgwZolq1akmSihcvrueee049evTQqFGj9MQTT+SrmMTERMXExEiSzp07p/j4eEX/3xVNmzVrpqCgII0aNUovvviiqlWrpvDwcO3YsUMHDx7UmjVr8jVvOEeqnWfiZJ6xY286t3e6AADkxKHAc+PGDVWqVMlmWOb/9evXz3cxly9f1ujRo22GZf6/atUqhYeHq3PnzkpMTNTixYu1aNEi1ahRQ3PnzlWjRo3yPX/k38o/r7i6BAAAsnG40/Jff5Fn/u/r65vvYqpUqaJjx47l2q5nz57q2bNnvucHAADuDA4Hng8//FAHDhyw/p+cnCyLxaK1a9dq9+7d2dpPnDgxfxXC7fn7+2vDhg12t09KSlJkZKQkafXq1Q53cuMOzAAAR+XptPSvvvoq2/Bdu3ZlG2axWAg8dwCLxZLnnvkBAQEeeWYCAMCzOBR4jh49WlB1AAAAFBiPupcWAABAXuTr1hInT57UmTNndOPGDRUtWlTVqlWznrIOAADgLvIUeN5//30tXLhQf/zxR7ZxFStW1NNPP81ZVAAAwG04HHhmzJih5cuXq2TJknrsscf0t7/9TYGBgUpISNDx48e1a9cuTZ48WadOndJLL71UEDUDAAA4xKHAc/DgQS1fvlzt2rXTjBkzcrz31D/+8Q+99NJLWrZsmR555BGnXJAQAAAgPxzqtLxx40aVLVtWb7755i1vtBkYGKi33npLZcqU0caNG51SJAAAQH44FHj+97//6ZFHHsn1Jp3+/v565JFHtH///nwVBwAA4AwOBZ7z58/bfRZWcHCwzp8/n6eiAAAAnMmhwBMfH6+iRYva1TYwMFA3btzIU1EAAADO5FDgMQwj281Dc2sPAADgag6flr5s2TJFRUXl2u7ChQt5KggAAMDZHAo8lSpV0tWrV3X16lW72lesWDEvNQEAADiVQ4Hns88+K6g6AAAACky+7qWV1cmTJxUdHa2LFy+qZs2a6t69u4oVK+asyQOA2zAy0uxr93/9GO3t+2jvdFG4UtK9JGXk2i6z26q9XV1vTheFxaHAs2bNGq1evVrr1q1TUFCQdfhnn32m0aNHKzU11Tps9erVWr9+vU07ADCDG7EfuroEFKKXPw51dQlwAofi5WeffaaqVavahJi0tDRNnDhR3t7eev3117Vt2za98MIL+u2337Rw4UKnFwwAAOAoh/bwnDhxQo8//rjNsL179+rKlSsaNmyYunXrJkn629/+pqNHjyomJkYvv/yy86r1AIZhKD09XanJqbIUwO5KIy1DaWlp8vb2dvq04bjM7Z2YlKL0dOdvk5TUdLa3m/D399eGDRvsbp+UlKTIyEhJN/d4BwQEODw/uA7b23wcCjxXr15VhQoVbIZ9/fXXslgsateunc3wxo0ba+fOnfmv0IMYhqE9e/YoLi5Oii7YeZUuXZrrHLlY1u0dHV2wG5zt7XoWi8XhL7FMAQEBeX4uXIPtbT4O7YK46667dOnSJZth+/btU0BAgO655x6b4X5+fvL19c1/hQAAAPnk0B6eevXqacuWLerXr5+KFSum2NhYHTp0SG3atJGPj+2kfv7552x7g8zOYrGoZcuWSk9PV+lOd8viUzCHtOK2n5a3t7dDV72G82Xd3s882UB+vgVzSGv+qoNsbwDIJ4cCz4gRI9SjRw+1b99ewcHB+vHHH2WxWDR06NBsbXfu3KnmzZs7rVBPYbFY5OPjI19/34IJPN4Z2cIlXCdzexcJ8CuQwOPtnc72BgAncOgbOSQkRCtXrlTdunV14cIFhYWFadGiRapXr55Nu71796pIkSJ65JFHnFosAABAXjj807Fx48ZatGjRbduEh4dr27ZteS4KAADAmbjMIwAAMD0CDwAAMD0CDwAAMD2PDDy7d+9Wz5491ahRI91///0aPXq0zp496+qyAACAm/K4wLN3716NHDlSwcHBmjdvnl5++WUdPXpUAwcOVFJSkqvLAwAAbsjjLvCxfft2VapUSdOmTbNeiC0oKEj9+/fX4cOH1aRJExdXCAAA3I3H7eFJS0tT0aJFba46W7x4cUniXkMAACBHHhd4unfvrpMnT2rt2rW6fv26zp49q7feekt16tRR48aNXV0eAABwQx53SKtJkyaaO3euXnjhBb366quSpNDQUC1ZskTe3nm/tL9hGEpISMhXbYXdhyghIUEZGRmFOk9nyLqePHUZpDt3exuGoeTkZLvbZ20bFxcnf39/h+bn7+/vkfcRM8vrHPa5U7e3q5fbMAy7Px88LvDs379fY8eO1eOPP66HHnpIV69e1fz58zV06FC99957CggIyNN0U1NTdeTIkXzVlpKSkq/nO+rYsWPy8/Mr1Hk6Q9b15KnLIN252zslJUXTpk3L03Nzuu9ebl5++WW3WG5HmeV1DvvcqdvbHZbb3nl6XOCZOnWqmjdvrvHjx1uHNWzYUA899JA++ugj9erVK0/T9fX1VXBwcL5qK+xf/CEhIXkOeK6UdT156jJId+72vlOX21FmeZ3DPnfq9nb1cp84ccLuth4XeE6ePKk2bdrYDKtQoYJKly6tM2fO5Hm6FotFgYGB+arNy6twu0QFBgZ65Jsq63ry1GWQ7tztnXW5m9R5XF5euX+MZJ5QYO+u54yMNO376QNJ7rPcjjLL6xz2uVO3t6uX25HD3R4XeCpVqqSffvrJZti5c+cUFxenypUru6gq4M7k5eUjby9fV5cBALnyuLO0evfurV27dmnq1Knas2ePduzYoeHDh6tMmTLq0KGDq8sDAABuyOP28Dz55JPy8/PTunXrtGnTJhUtWlQNGzbUO++8o9KlS7u6PAAA4IY8LvBYLBb16dNHffr0cXUpAADAQ3jcIS0AAABHEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpedxp6QBczzAMpaenKyUlSd5e6U6ffnpGqtLS0uTt7e30aQO4MxF4ADjEMAzt2bNHcXFxio6OLtB5lS5d2nofLgDIDw5pAQAA02MPDwCHWCwWtWzZUunp6WpS5/ECuXloekaq9v30gby9vR26GzIA3AqBB4DDLBaLfHx85OcXUECBx1s+Pnw8AXAeDmkBAADTI/AAAADTI/AAAADTI/AAAADTI/AAAADT4zSIAmKkGZIycm/3fxdVs/fU25vThbtJTct9W0uOb297pwsAuD0CTwGJ23Ha1SWgEM1fddDVJQAAboNDWgAAwPTYw+NE/v7+2rBhg93tk5KSFBkZKUlavXq1AgICHJ4fXIftDeBO5+/vr9DQUOtjd0bgcSKLxeLwl1imgICAPD8XrsH2BnCns1gsmjFjhvWxOyPwAACAPHP3oJOJPjwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0PDbwbNmyRV27dlX9+vUVHh6uwYMHKykpydVlAQAAN+SR1+FZsGCBFi9erOHDh6thw4aKi4vT119/rfT0dFeXBgAA3JDHBZ6ff/5Zc+fO1fz589WqVSvr8Pbt27uwKgAA4M487pDW5s2bVaVKFZuwAwAAcDseF3gOHDig2rVra/78+WrRooXq1aun3r1768CBA64uDQAAuCmPO6R18eJFHT58WMePH9crr7yiIkWKaOHChRo4cKA+/fRTlSlTJk/TNQxDCQkJTq729rJ2sk5ISFBGRkahzt9VWG7PXu7CPjnAU9eVWbY37MP2dg3DMOy+l5fHBZ7MYDJr1izdc889kqSwsDBFRERozZo1Gj16dJ6mm5qaqiNHjjiz1FylpKRYHx87dkx+fn6FOn9XYbk9e7mzLkdh8NR1ZZbtDfuwvV3H3nXtcYGnRIkSKlWqlDXsSFKpUqVUp04dnThxIs/T9fX1VXBwsDNKtFvWXwQhISEKCAgo1Pm7Csvt2ctd2Ht4PHVdmWV7wz5sb9dw5Hvf4wJPcHCwzpw5k+O45OTkPE/XYrEoMDAwz8/PCy+v/9+FKjAw8I55g7Dcnr3cWZejMHjqujLL9oZ92N6uYe/hLMkDOy23bt1aV69etTn8FBcXpx9//FF169Z1YWUAAMBdedwenrZt26p+/fp69tlnNWbMGPn7+2vRokXy8/NT3759XV0eAABwQx4XeLy8vLRo0SK9/vrrmjx5slJTU9WkSROtXbtWZcuWdXV5AIA7kL+/v0JDQ62P4X48LvBIUlBQkP7973+7ugwAACTd7EsyY8YM62O4H48MPAAAuBuCjnvzuE7LAAAAjiLwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0yPwAAAA0+O0dAB5lpGRZlc7wzAk2X/arr3TBQB7EXgA5Nm+nz5wdQkAYBcOaQEAANNjDw8Ah/j7+2vDhg12t09KSlJkZKQkafXq1QoICHB4fgCQXwQeAA6xWCwOh5ZMAQEBeX4uAOQHh7QAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpEXgAAIDpcfNQACgA/v7+Cg0NtT4G4FoEHgAoABaLRTNmzLA+BuBaBB4AKCAEHcB90IcHAACYHoEHAACYnscHnhs3bujBBx9USEiIDh065OpyAACAG/L4wDN//nylp6e7ugwAAODGPDrwnDx5Uu+9955GjRrl6lIAAIAb8+jAM3XqVPXu3Vs1atRwdSkAAMCNeWzgiY6O1vHjxzVixAhXlwIAANycR16HJzExUdOnT9eYMWNUrFgxp0zTMAwlJCQ4ZVr2SkpKsj5OSEhQRkZGoc7fVVhulhsAnMEwDLuvd+WRgWfBggUqU6aMHnvsMadNMzU1VUeOHHHa9OyRkpJifXzs2DH5+fkV6vxdheVmuQHAWez9TPG4wHPu3DktW7ZM8+bN0/Xr1yXJumcmISFBN27cUNGiRR2erq+vr4KDg51aa26y/vINCQlRQEBAoc7fVVhulhsAnOHEiRN2t/W4wPPrr78qNTVVQ4cOzTbuySefVFhYmD744AOHp2uxWBQYGOiMEu3m5fX/u1AFBgbeMV8ELDfLDQDO4MjtWzwu8ISGhmrVqlU2w44cOaLXX39dU6ZMUf369V1UGQAAcFceF3hKlCih8PDwHMfVrVtXdevWLeSKAACAu/PY09IBAADs5XF7eHISHh6uY8eOuboMAADgptjDAwAATM8Ue3jgWfz9/RUaGmp9DABAQSPwoNBZLBbNmDHD+hgAgIJG4IFLEHQAAIWJPjwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0CDwAAMD0fFxdgKM+/vhjbd26VT/++KOuXbumu+++W5GRkXrsscdksVhcXR4AAHBDHhd4VqxYocqVK2v8+PEqXbq09uzZo0mTJun8+fMaOXKkq8sDAABuyOMCz4IFCxQUFGT9v0WLFrp69aqWL1+uZ555Rl5eHKUDAAC2PC4dZA07mUJDQxUfH6+EhAQXVAQAANydxwWenHz//fcqX768ihUr5upSAACAG/K4Q1p/tW/fPu3YsUPjxo3L13QMwyj0PURJSUnWxwkJCcrIyCjU+aNw3anb2zAMhYSESJLS09PZEwvAaQzDsPuEJY8OPOfPn9eYMWMUHh6uJ598Ml/TSk1N1ZEjR5xUmX1SUlKsj48dOyY/P79CnT8K1528vXv37i1JOnr0qIsrAWA29n6WemzguXbtmoYMGaJSpUppzpw5+e6s7Ovrq+DgYCdVZ5+sv/hDQkIUEBBQqPNH4WJ7A4BznThxwu62Hhl4kpKSNGzYMF2/fl3r169X8eLF8z1Ni8WiwMBAJ1Rnv6whLTAwkC9Ak2N7A4BzOXL9PY8LPGlpaXruuef0888/a+3atSpfvryrSwIAAG7O4wLPlClT9J///Efjx49XfHy8fvjhB+u4OnXq3FH9IgAAgH08LvB89dVXkqTp06dnG7d7925VqVKlsEsCAABuzuMCz2effebqEgAAgIcxxYUHAQAAbofAAwAATI/AAwAATI/AAwAATI/AAwAATI/AAwAATI/AAwAATI/AAwAATM/jLjxoJv7+/goNDbU+hrmxvQHAdSyGYRiuLsLVDh06JEmqX79+oc87c/U7csdXeC62NwA4jyPf3+zhcTG++O4sbG8AcA368AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANMj8AAAANPjbumSUlNTZRiG9TbzAADA/aWkpMhisdjVlsAj2b2yAACA+7BYLHZ/h1sMwzAKuB4AAACXog8PAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQIPAAAwPQJPHvz9739XSEiI9u3b5/Bz58yZo/379xdAVf9fSEiIli5d6pRp7dq1S2vXrs213a+//qqQkBBFR0dnG3ft2jWFhIRo8+bN1mGRkZEKCQnRrFmzsrV/9NFHNX78eIdrdea6nTNnjho1apRt+PTp03XPPfdow4YN1mFXrlxR3bp11ahRIyUlJWV7zubNmxUSEqL69evr+vXr2ca/8MILCgkJUWRkpHXY3r17FRISokOHDlmHZa6zkJAQ3XPPPXrwwQc1cuRInThxIr+Lm2e7d+/WwIED1axZM9WrV08RERGaPHmyfvnlF5t2P/30k0JCQtSuXbscpzNnzhzrsv31b9GiRYWxKNmMHz9enTt3znHca6+9poiICEn/f1vde++9unbtmk27Xbt2KSQkRL/++qtD8967d68WLlyYt8Kd4K/v2YiICL366qs5tv3r+zVzWz7xxBPZ2mZdb47YvHmztm3b5vDzCkpMTIyGDBmi5s2bq27dumrZsqWGDh2qqKgoZWRkSLr5+rnVa3r79u0uXgLH3Go5sv5t3rxZ169f16hRoxQREaEGDRqoefPmGjx4sA4ePOjqRZDE3dIdFhsbq2PHjkmStm3bpiZNmjj0/Llz5yowMFCNGzcuiPKcbteuXTp8+HCOH17OsHr1ag0cOFDFixfP97QKet3++9//1ooVKzRlyhT17NnTOnzHjh1KS0tTWlqaPvvsM3Xs2DHH5/v4+Gjnzp3q3r27dVhiYqI+++wzBQYG2lVD48aNNW7cOKWnp+vkyZN655139NRTT2n79u0qWbJk/hbQQTNnztTixYvVvn17/etf/1JQUJDOnDmjTZs2acyYMfrwww+tbTO/rM6cOaMDBw4oLCws2/QCAgK0cuXKbMMrVqxYYMvgTPHx8Vq5cqVGjRqV72l9++23WrZsmYYPH+6Eylxj37592rt3r8LDw/M9rS1btigwMFBdunRxQmX589Zbb+ndd99Vu3btNHnyZJUtW1aXLl3Srl279NJLL6lkyZJ64IEHJElVq1bVzJkzs03j7rvvLuyy82X9+vU2//fq1UuRkZE2PwiqVaumlJQU+fn56emnn1aVKlWs74n+/ftr8+bNqlGjRmGXboPA46Bt27bJy8tLTZs2VXR0tCZOnChfX19Xl+WRGjRooBMnTmjVqlUaMWKEq8u5rbfffltLlizRK6+8ol69etmMi4qKUq1atRQfH6+tW7feMvC0adNG27dvtwk8//nPf+Tn56ewsDAlJibmWkeJEiXUsGFDSdK9996rIkWK6MUXX9SXX355y70RBSEmJkaLFy/WM888o9GjR1uHN23aVI899pj+85//WIdlZGRox44duvfee3X48GFt27Ytx8Dj5eVlXTZPFB4ertWrV2vAgAEqVqyYq8txqcDAQAUHB2v+/PlOCTzu4vPPP9e7776rkSNHZgu2HTp0UP/+/eXj8/+/VgMCAjz6NZ0pp2WoWLFijsPffPNNm/9btmyp8PBwffLJJy4P8BzScoBhGIqKilLz5s01YMAAXb16VV9++aVNm5MnT2rkyJFq1qyZwsLC9Pe//11RUVGSbu4WlKQ33njDuhtw7969tzwc9NfdvxcuXNCECRPUpk0bNWjQQA8//LDeeustpaSkFMjyjh8/Xlu2bFFsbKy13rwcarqVoKAg9e7dW6tWrVJ8fPxt2548eVJPP/207r33XjVs2FBDhw7VmTNnrONvtW6dYc6cOVq4cKEmTZqkvn372ow7e/as/ve//6lLly7q1KmT/vvf/+rq1as5Tqdz5876+uuvdfnyZeuwbdu2qX379jYfko6oU6eOJOm3337L0/PzatmyZbrrrrv0zDPP5Di+devW1sffffedzp8/r969e+uhhx7Sjh07lJ6eXlilFppBgwYpOTlZq1evvm07wzC0dOlStW/fXvXq1VObNm20YsUK6/g5c+Zo7ty5SkhIsL6Wsx7uLAgffPCBIiIiFBYWpv79++v06dP5nuYzzzyjb775JtfDzNeuXdM///lP3X///apXr566d++u//73v9bxkZGR+vbbb/X5559b18ecOXPyXV9eLF++XGXLltXTTz+d4/gGDRpY35O4KTAwUP7+/kpNTXV1KQQeR+zfv1/nzp1T586ddf/996tUqVLWMCNJp06dUq9evXT69Gn94x//0IIFC9S9e3frl1HmbsHIyEitX79e69evV926de2ef1xcnEqVKqUJEyZoyZIlGjx4sLZs2aJXXnnFuQv6f5555hm1atVKVatWtdZ7qy+4vBo4cKASExNv20/o7Nmz6t27t/78809Nnz5dM2fO1JUrV/TUU09Zw15+1+2tLFiwQHPnztWECRPUr1+/bOMzt3/nzp3VuXNnpaam5tiPSbr5YVipUiXr+GvXrunLL79Up06d8lzfuXPnJElVqlTJ8zQclZaWpv3796t58+Z27d3ctm2bihQporZt26pz5866fPmy9uzZc8tp//XPUwQFBalXr15asWKFbty4cct2r732mmbPnq2uXbtq0aJF6tatm2bOnKl169ZJknr27KkePXooICDA+louqPe4dHMv46RJkxQeHq65c+eqRYsWNnvt8qp169aqU6eO5s2bd8s2KSkpGjBggD7//HM999xzWrBggWrVqqVhw4ZZuw688sorqlOnjho3bmxdH1kPKReWrK97R36gePJrOq8yMjKUlpamCxcuaPr06fLy8lLXrl1dXRaHtBwRFRUlf39/Pfzww/L19VX79u21detW3bhxQ0WLFtWcOXPk6+urdevWWXdpt2zZ0vr8zN1/f90VeKs9An8VEhKicePGWf9v3LixihQpovHjx2vy5MkqUqRIvpcxq2rVqikoKEi//fZbge2WLVu2rB5//HEtX75ckZGROfZlmTt3rkqWLKnly5fL399f0s1lb9OmjTZs2KAnnnjilus2PxISEvTOO++oZ8+eeuqpp3Jss337djVs2FBVq1aVJNWsWVPbtm1T7969c2zfqVMnbd++XU888YQ++eQTBQUFqWnTpjn2XcmJYRhKS0tTRkaGTpw4oZkzZ6pOnTpq27ZtnpYxL65evaqUlBRVqlQp17YpKSn69NNPFRERocDAQD300EMqXry4tm3bZu3nkCkhISHHkLp27VqH+8q5yqBBg7Ru3Tq99957GjJkSLbxZ86c0Zo1azRlyhTrodGWLVsqKSlJ8+bNU69evVShQgVVqFCh0A7xLViwQE2aNNHrr78uSXrggQeUnJys+fPn53vaTz/9tEaNGqWDBw+qQYMG2cZv27ZNR48e1UcffaTg4GDr/E+fPq358+dr1qxZCg4OVrFixRQYGOjSw0OZr/u/9ikzDMNmj6WXl5e8vG7uS4iNjc3xNR0TE6MKFSoUbMEuNGvWLGun+zJlymjRokXWz0hXYg+PndLS0hQdHa1WrVpZO9h26dJFiYmJ2rlzpyTpm2++Ufv27Qvs+L1hGFqxYoU6duyoBg0aqG7dunrxxReVlpams2fPFsg8c6oh6y8VZxyaGDx4sOLj462/cP/qq6++UkREhLy9va3zLVGihOrUqaPDhw/ne/63EhAQoKZNmyoqKkrff/99tvFHjx5VbGysTd+ZTp066fvvv7/lIaZOnTpp//79+v3337V9+3Z17NjR+uFoj5iYGNWtW1f169dXt27ddOnSJc2bN09+fn6OL2A+WSyWXNt88cUX+vPPP63ryM/PT+3atdPOnTuzndEWEBCgjRs3ZvsLDQ0tkPoLQvny5dWjRw8tX748xz5ZmXu2Hn74YZv3UcuWLXXx4kX9/vvvhVpvenq6fvzxx2xnz7Vv394p02/Xrp1q1659y708X331lWrXrq3q1atnWx9Zz1B0J3993X/yySeqW7eu9W/q1KnWcdWqVcvxNV2mTJnCLrtQ9e3bVxs3btSCBQsUFhamoUOH6scff3R1WezhsddXX32lK1euqHXr1tZTT2vXrq2yZcsqKipKXbt21dWrV1WuXLkCq2HlypWaMWOGBg8erPDwcJUoUUKHDh3Sq6++quTk5AKbb1bffvutnnzySev/zZo10+rVq627eDNPycwqMxTdajdwhQoV1L17dy1btizHs8Hi4uK0cuXKHPeCFGSHcS8vLy1YsECRkZEaPny41qxZY+0rJElbt26Vl5eX7r//futrolWrVpozZ46ioqI0dOjQbNOsXbu2/va3v2nFihXau3evXnzxRYdquvfeezVhwgTr7vW3335bzz//vN577z2HglN+lCpVSv7+/nb1G9q2bZuKFy+uhg0bWtdR69attXnz5mxntHl5eal+/foFVrejvL29bxnoMzIybvl6HjJkiDZs2KD169dnO9QYFxcnwzDUvHnzHJ/7+++/q3Llyvkr3AFXrlxRWlqagoKCbIbfddddNv/ndV1YLBYNHz5czz//fI5feHFxcfrpp59y3Avi7e1t72IUilKlSsnPz0/nz5+3Gd6iRQtt3LhRkrL17fH393er13RhKV++vMqXLy9Jeuihh9SjRw/Nnj1b7777rkvrIvDYKfO02gkTJmjChAk24+Li4nT58mWVKlVKFy5ccHjamYdp/tqp66/X9IiOjlZERIReeOEF67CTJ086PL/8qFu3rvXNLUlFixaVdPPDwMvLSxcvXsz2nMx1crtfNcOGDdPmzZuznf4oSSVLllSrVq2ydRjOOv+CUrx4cS1dulR9+vSxHq6oWrWqDMPQjh07lJGRoUceeSTb87Zt25Zj4JFu7uWZNWuWqlWrpnr16jlcT+YHaKNGjeTl5aXp06crOjr6lmeHOZuPj48aN26sb775Rmlpabf8souPj9fnn3+upKQktWjRItv4253R5g6CgoJ06dKlHMdduHAhW0jIVKlSJXXr1k1LlizJ9llRsmRJWSwWvffeezmG9cI+bTcoKEg+Pj66cuWKzfC/Lndu6+J27+0OHTpozpw5mj9/frbDoCVLllRISIhee+21PC5B4cl83X/99ddKT0+3BrKSJUta35Ou2NPq7ry8vBQaGprjXvLCRuCxQ2Jionbv3q22bdva7N2Qbn4wPP/889qxY4datGihTz75RC+++OItD2v5+vpm2xtTpkwZ+fr62oSXlJQUfffddzbtkpKSsn1IFvTFuP5ab7FixXL8xRIQEKD69etr9+7d6t+/v824Xbt25fpLp3Llyvr73/+uJUuWZFt3LVq0UGxsrOrUqXPbX305rVtnKFOmjJYtW6Y+ffpo4MCBeu+993Tq1Cn9/vvvGjVqlJo2bWrT/ssvv9TixYt17Ngxmz1CmTp37qyDBw+qTZs2+a6tX79+WrNmjd59991CDQ8DBgzQ0KFDtXDhQo0cOTLb+JiYGMXFxSkpKUlTpkzJ9kW+ZcsWRUVF6erVqypVqlQhVe2Ypk2batGiRfruu+9stnF8fLz27t2b7fIEWQ0dOlSbN2/WBx98YDM8M/hdvXr1thfg8/X1LbCzL7Py9vZWnTp1tHPnTpt+ap988olNu6ZNm2r9+vW6fv26zTWz9u3bp6tXr962j5WXl5eGDx+u8ePHq1mzZjbjWrZsqZiYGJUrV866RyAnBfXedtSAAQM0bNgwLVy40O0vpeEu0tLSdPDgQbfow0PgscPu3buVkJCgyMjIHK8psWTJEkVFRWnGjBn6/PPP1bdvXw0ePFhly5bVyZMnlZiYaO3AWLNmTe3evVtNmjRRkSJFVKNGDRUrVkzt2rXT2rVrdffdd6t06dJas2aNDMOwOV7csmVLrVq1SmvWrFH16tW1detWp5w+eju1atXSpk2bFBUVZa3tVmcEjRo1SkOHDtXIkSP16KOPyt/fX998841WrFihIUOGqESJEred17Bhw/Thhx/qwoULNtdpefbZZ9WjRw8NGjRIjz/+uO666y5dunRJ3377rZo0aWLtH3KrdesMVapU0dKlS9WvXz8NHjxYderUUWBgoAYMGJBtL1PmIauoqKgcA0+VKlWc0iFUuvlFMHz4cE2cOFFffPGFHnzwQadMNzetWrXS4MGDNWfOHJ04cUKdOnVS6dKl9euvv2rTpk26fv26ypQpo8qVK6tXr17Z+j2ULFlSW7ZsUXR0tLWDd0ZGhn744Yds8ypTpoxLPizvv/9+NWnSRCNHjtSIESP0t7/9TRcuXNCSJUvk5eV121PFq1atqi5dumjLli02w2vUqKEnnnhCY8eO1aBBgxQWFqbU1FSdOnVKe/futb4uatWqpbS0NK1cuVKNGjVSsWLFVLNmzQJZzuHDh+uZZ57RhAkT1LFjR/3444/66KOPbNo8+eST2rhxo/WzrVy5coqNjdW8efPUpEkT3XfffbedR5cuXTRv3jzt3bvX5pBd165d9f777+vJJ5/UwIEDVb16dV2/fl0//fSTUlNTrXuza9asqQ8//FCfffaZypYtm2tAKigPPfSQhg4dqtmzZ+vo0aPq0KGDypUrp+vXr2vfvn26ePGizedBUlJSjq/pihUruqT+grZ+/XodPHhQLVu2tF6Q8f3339cvv/xSoGca2ovAY4eoqChVqlTplhfQ6tq1q6ZNmyYvLy+9//77evPNNzVlyhSlp6erevXqNoc2Jk+erGnTpmnIkCFKSkrSqlWrFB4erkmTJmnSpEmaOnWqihYtqkGDBqlGjRravXu39bkjRoxQXFycZs+eLelmx8KJEycW6MWcevTooYMHD+pf//qXrl69qm7dumn69Ok5tn3ggQe0ZMkSLViwQGPHjlVqaqqqV69+y1O6/+ruu+9Wp06dtHXr1mzDN2zYoHfeeUdTpkxRQkKCypYtq6ZNm9oEilutW2epXbu23n33XQ0YMEC//fabHnjggRwPqQUFBalVq1aKiorS888/77T530rXrl21cOFCLV68uNACjyS99NJLatSokdauXauXX35ZiYmJKleunO6//3716NFDvXv31tChQ3Ps3HzPPfcoNDTU5oy2pKSkHPea9OjRwyWHPLy8vPTuu+9q9uzZWr58uS5cuKBixYqpefPmmjNnTq799YYNG6atW7dm6/syceJE1ahRQ+vXr9e8efNUtGhR1ahRw+bQaOvWrdW3b18tWrRIly9fVtOmTXO9vk9etWnTRlOmTNHChQu1fft2hYWFWc9OzFSuXDm9//77evvttzVt2jTFx8erXLlyevTRR/Xss8/m2n/M29tbQ4cO1cSJE22G+/n5adWqVdZrXV28eFGlSpVSnTp1bA5hDxkyRGfOnNG4ceN07dq1HC/8V1heeOEF3XvvvVq7dq2mTJmi+Ph4lSxZUnXr1tW0adNsLjNx9uzZHF/To0ePdvolPtxBcHCwPv30U7322mu6du2aypYtq/r162vjxo265557XF2eLIZhGK4uAgAAoCBxWjoAADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADA9Ag8AADC9/wef38UlJrcJXgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data2,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'GE', 'T3'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "de937bc2-aa27-4a8f-aca2-8b1880aefecf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "'''\n",
    "ax = sns.boxplot(medianprops={\"color\": \"black\"}, showfliers = False,\n",
    "    data=[kamirc, testc, dcac], notch=False, showcaps=False, palette=my_clr,\n",
    "                width=0.2)\n",
    "'''\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data3,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 't-UNet', 'KAMIR', 'CAE', 'UNet', 'dUNet', 'GE', 'T3'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0a3cc3bb-69b3-4e35-90ab-192195945085",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3ac3f406-3618-43fd-811f-3864e1a4b072",
   "metadata": {},
   "source": [
    "# WASPAA REBUTTAL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2324df7d-1047-4c02-ab98-178e7d4c4a63",
   "metadata": {},
   "outputs": [],
   "source": [
    "wpath = \"/home/rajesh/Desktop/SDR/Rebuttal_WASPAA/\"\n",
    "org = pd.read_csv(wpath+'sdr_org.csv')\n",
    "rir = pd.read_csv(wpath+'sdr_reverb.csv')\n",
    "sdr = pd.read_csv(wpath+'sdr.csv')\n",
    "cae_rev = pd.read_csv(wpath+'CAEsdr_reverb.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "75432fb0-06a1-46e3-84db-ad5e74e4747a",
   "metadata": {},
   "outputs": [],
   "source": [
    "org = org[:100]\n",
    "rir = rir[:100]\n",
    "sdr = sdr[:100]\n",
    "cae_rev = cae_rev[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3683f3e5-1573-47db-9168-79dc4c55d5dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], kamir1['Overall sdr'], \n",
    "         dca1['Pred Overall sdr'], cae_rev['Pred Overall sdr'],\n",
    "        org['Pred Overall sdr'][:100], sdr['Pred Overall sdr'][:100]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b1d40fbe-f15b-45ae-aed2-8f1820ff5453",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\"}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,  showfliers = True,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 'KAMIR', 'CAE', 'CAE_reverb', 't-UNet', 't-UNet_reverb'])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a90f77f6-f598-489e-8139-5973934b3152",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "62cb7a91-bfe1-4706-b662-ffc4b95dab63",
   "metadata": {},
   "outputs": [],
   "source": [
    "wpath = \"/home/rajesh/Desktop/SDR/Rebuttal_WASPAA/\"\n",
    "org = pd.read_csv(wpath+'sdr_org.csv')\n",
    "rir = pd.read_csv(wpath+'sdr_reverb.csv')\n",
    "sdr = pd.read_csv(wpath+'sdr.csv')\n",
    "cae_revb = pd.read_csv(wpath+'CAEsdr_reverb.csv')\n",
    "new_sdr = pd.read_csv(wpath+'sdr_new.csv')\n",
    "finetuned_tunet = pd.read_csv(wpath+'sdr_finetune.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "74d8fbe3-83fd-4e1a-9e26-88b9f310c727",
   "metadata": {},
   "outputs": [],
   "source": [
    "org = org[:100]\n",
    "rir = rir[:100]\n",
    "sdr = sdr[:100]\n",
    "cae_revb = cae_revb[:100]\n",
    "new_sdr = new_sdr[:100]\n",
    "finetuned_tunet = finetuned_tunet[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f725d9b8-a7ce-497d-b9b1-741f537e5159",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = [test1['Overall sdr'], kamir1['Overall sdr'], \n",
    "         dca1['Pred Overall sdr'], cae_revb['Pred Overall sdr'],\n",
    "        org['Pred Overall sdr'][:100], sdr['Pred Overall sdr'][:100],\n",
    "        new_sdr['Overall sdr'][:100], new_sdr['Pred Overall sdr'][:100]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "109cbd92-cb9f-4a0c-872f-960f0e7cc242",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\", 8:'white'}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=data1,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Actual', 'KAMIR', 'CAE', 'CAE_reverb', 't-UNet', 't-UNet_reverb', '', ''])\n",
    "#plt.xticks(rotation=0, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a40bb27-e915-456b-9972-cfd4342c8a49",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1603a1f-5a1c-45dc-8926-75831d363c5a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22fd4c38-9358-4122-ab53-c5256f7bb411",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4dc69bb2-3d2c-44f8-8a5e-2f7b6494d872",
   "metadata": {},
   "outputs": [],
   "source": [
    "cae_finetuned = pd.read_csv(wpath+'cae_finetunedoldsdr.csv')\n",
    "cae_finetuned2 = pd.read_csv(wpath+'caefinetuned2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14a8ec3f-b5ea-4e91-bddc-111dc7faafb5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "e193a0ea-af52-4719-94df-e32cd8bee198",
   "metadata": {},
   "outputs": [],
   "source": [
    "kamir_wr = pd.concat([kamir1['Pred Overall sdr'][:50], kamir2['Pred Overall sdr'][:50]], ignore_index=True)\n",
    "cae_wr = dca['Pred bass sdr']\n",
    "tunet_wr = pd.concat([test1['Pred Overall sdr'][:50], test2['Pred Overall sdr'][:50]], ignore_index=True)\n",
    "cae_rev = cae_revb['Pred Overall sdr']\n",
    "tunet_rev = new_sdr['Pred Overall sdr']\n",
    "tunet_finetuned = finetuned_tunet['Pred Overall sdr']\n",
    "cae_fin = cae_finetuned['Pred Overall sdr']\n",
    "cae_fin2 = cae_finetuned2['Pred Overall sdr']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5f3fa2ce-28ea-4352-ad97-8e4a3b868cff",
   "metadata": {},
   "outputs": [],
   "source": [
    "rebuttal = [kamir_wr, cae_wr, cae_fin, cae_rev, tunet_wr, tunet_finetuned, tunet_rev]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "faa2e0a3-ae33-4c33-bae7-403fe19d79b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_clr = {0: \"g\", 1: \"r\", 2: \"y\", 3:\"m\", 4:\"b\", 5:\"c\", 6:\"orange\", 7:\"grey\", 8:'white'}\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "ax = sns.boxplot(\n",
    "    data=rebuttal,\n",
    "    notch=False, showcaps=False,  showfliers = False,\n",
    "    flierprops={\"marker\": \"x\"},\n",
    "    medianprops={\"color\": \"black\"}, width=0.4,  palette=my_clr\n",
    ")\n",
    "ax.set(xlabel='', ylabel='SDR', title='SDR Improvement')\n",
    "ax.set_xticklabels(['Kamir Wr', 'CAE Wr', 'CAE Rev', 'CAE Finetuned', 't-UNet Wr', 't-UNet Rev', 't-UNet Finetuned'])\n",
    "plt.xticks(rotation=30, ha='right')\n",
    "ax.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71b04b39-1f97-4306-9c67-b46421bb799c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}