{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ".. _Examples_for_standard_profiles:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Standard cross section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shape_generator import CrossSection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "unit = 'cm'\n",
    "height = 200\n",
    "width = 100\n",
    "label = 'test'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "r_channel (float)\n",
    "\n",
    "r_roof (float)\n",
    "\n",
    "r_wall (float)\n",
    "\n",
    "slope_bench (float)\n",
    "\n",
    "r_round (float)\n",
    "\n",
    "r_wall_bottom (float)\n",
    "\n",
    "h_bench (float)\n",
    "\n",
    "pre_bench (float)\n",
    "\n",
    "w_channel (float)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    "\n",
    "Dictionary\n",
    "\"\"\"\"\"\"\"\"\"\"\n",
    "\n",
    "+---------+---------------------+--------------------------+\n",
    "| english | deutsch             | description              |\n",
    "+=========+=====================+==========================+\n",
    "| channel | Trockenwetter-Rinne |                          |\n",
    "+---------+---------------------+--------------------------+\n",
    "| roof    | Firste/Decke        | Bogen an der Rohr Firste |\n",
    "+---------+---------------------+--------------------------+\n",
    "| wall    | Wand                | Radius der Seitenwand    |\n",
    "+---------+---------------------+--------------------------+\n",
    "| bench   | Berme               | Neigung um der TW-Rinne  |\n",
    "+---------+---------------------+--------------------------+\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit)\n",
    "cs.generator()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200.00</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>200.02</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        x     y\n",
       "0    0.00   0.0\n",
       "1    0.02  50.0\n",
       "3  200.00  50.0\n",
       "4  200.02   0.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cs.df_abs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_channel=35)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ywwABCATAhNxuPDFjDB/sKWP6r1YeF6GIhmH5tv3MnzacK07vm+wpAQEJBPihuHYMW/ce+6GIDcO904ZzxdhghAFaoJcRb/36fTU8vLaKXm1TuOP0LNplHF3vI0i9idj66rDloTWVbDoQ4YahGZzTp+m9iVbXy4i3Pm/LXtv/+3+xFzyw1O48cPioth+k3kS0vqi0wk59ZLnNuXOx/V3BrqTNhWT3MuL15QFdWTTzdHaXVHDJguUs/WBfsqfUZFsPhrn44eVs2l3Ko18fzeVj+iR7SnUKZCAAzu7XhT/dNo4eHbKYuSif+a9tJhRpfUvd4Yjl8aUfMi+/kjYZqfxx9tlMHtYz2dOqV6Cvl8/p0pY/zj6bH/15I4/lfUjf9in0HFjC0N4dkz21RtladIjvvbyBgh0HGdM9lae+MY6OJyRv0akxAvsJEdUmI5V504az8LqxlFZbLn1kBd//4waKSiuTPbV6Ha6q4Wd/fZ/JDy1j694yHrxyBLeNzAx8GCDgnxCxzhvUnXvGtWFleVdeXLmTP6z5hJlnncItXz4tMC90SUWIZ/65nadWfExxeYgrxvZh7qRcOrfLJC9vW7Kn1yitJhAAbdMNP750KLPGncqDb3zAE299yIsrd3DdWTlceXpf+px4QlLmdaCsioXLP+bZt3dQVlXDxEHduO3c/ozs2ykp82mKVhWIqJM7n8CDV47kpi+dygOvf8CCJdtYsGQb4/p14eozTmbioO4Jn0MoYnl9UxGL1xfyt417qKqJcNGwntw6vh+De3VI+P4TpVUGImpQzw48ee1YPi2u4HcFu3hp1S5mv7CG9llpDOho2ZW1g3H9upDT+QSMMUfe4BEUFlewesdB8rbs4y/ry6moKaDTCelMHdWHfxt3Cv26NX5xKKhadSCiendqw7cnDuCb5/bnra37eG3DHt547xN+8Mp7n48P6dWB3B7tGdCjPb07taFHxyw6ZKWTlZ5KaorBWu8/9SytDFFWWUNJRYhPDlawff9hthQdYs2OgxSWeCey7bPSGN0tjVkXjmJcvy6kpwb+3LzRjolARKWmGCYM7MaEgd1Y0vkAOcPOYPm2/bzz0QHe313KG+8X0eBSxt9eq/Ofe3dqw6jsE7kx+0TGZp9Ebs/2rFj2FuMHdkvMD5JEDfYyjDH7gB0tN53EMumZJr1rTlZah24ZaR26ppvME1JT0jJS2g47v1tKemZq6apXCiNVh8ORqvJwpKo8XFO8uzp0YFeVra6IJHvuzSzbWtu1roEGAyHHn2Pn4CfNQoEQhwIhDgVCHAqEOP4PHehlqaGHS8sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_channel=35, \n",
    "                           pre_bench=45)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DH318Nk9s3MXDL7/FY6/s4Bv3v7J//NgZ1cybVsWcaVUcOXEc0yaUU11eSnlpMcVFRgiB7t59tHf3ku7uY09XLzvaumhq6WBD815e2NbGzj3RhWxVeQknTynhirNPomFWLaXFib82H7XDIhADiouMM+ZO4Yy5U1he00r98QtZuamFVVtaWfdmO4+ta2bEpYxHHh7yv4+cOI6T6ibxxbpJLKg7gnnTq3jqySdYNHdKft5IAY3YyzCzXcC2Qzed/LLSMiudXF9eUj0lVVI9udTKxhcXlaSKKo7/xJSi0rLi9mfv39mf6djXn+nc15/p3Ne3+82e3tbtmdDT1V/ouR9kdSGEyUMNjBgIef85fE5+clAoEOIoEOIoEOIoEOL8H06tZTAc+zCEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_channel=35, \n",
    "                           pre_bench=45, \n",
    "                           slope_bench=5)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_channel=35, \n",
    "                           h_bench=25, \n",
    "                           slope_bench=5)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pQPQ4Ykwp/37RDP513nSWrd/Nc+9t4ddvrOXGJ9+FJ6GqPM2M8RXMmFDBtEPKmTByGIdUlFAxrJjhqUKKCwsIIdDa0UVDayeNbZ183NLBup1NfLCtkQ+2NfLepo/ZsKsFgIqSImZUFvLlc0/gzKlVFB9E8y4HRSB6FBYYJ08azcmTRnNa6VYOmfYZXvlwJys217N8Uz1LXlo98FjGc8/u9acCg+rKUmaOH8H8UyZxYvUojjtsBItffoma6eNy+N/kx4BzGWa2HVh34LqTW1aUsuIxh6cLK6pSRRVVxQXp0kIrLiksO/acsQXFJYX1rz21qbutuau7ramru625q3P3praOHevaQmf70BsRG1h1CKHPG60BAyGfPgfPxU/2CwVCHAVCHAVCHAVCnP8H1KFw/ERoyrsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_channel=35, \n",
    "                           w_channel=25, \n",
    "                           slope_bench=5)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           slope_bench=15)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_channel=30, \n",
    "                           slope_bench=15)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_roof=100)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_roof=30, r_wall=110)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cs = CrossSection.standard(label, None, height=height, width=width, unit=unit, \n",
    "                           r_roof=20)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can even make a standard egg cross section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: unused part of the shape detected. Ignoring this part.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r = 30.\n",
    "cs = CrossSection.standard(label, None, height=r * 3, width=r * 2, unit=unit, \n",
    "                           r_channel=r / 2, r_wall=3 * r,  r_wall_bottom=3 * r, r_roof=r, h_bench=r/5)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The warning occurred because the r_wall part was ignored. However, this input cannot be omitted, otherwise the following will happen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: unused part of the shape detected. Ignoring this part.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r = 30.\n",
    "cs = CrossSection.standard(label, None, height=r * 3, width=r * 2, unit=unit, \n",
    "                           r_channel=r / 2, \n",
    "                           r_wall=3 * r,  \n",
    "                           r_roof=r, \n",
    "                           h_bench=r/5)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKsAAAEYCAYAAAAjwQZ2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAHyhJREFUeJztnXl8FFWi77+nO91ZOhtZSVgSIAn7viogQRAX1JERdVwYRdRRZ/He58w4OjPOfc/rOG7XGUd9KCoovoujn8EVvSqasCOEHTTshBBIQkL2Penz/uiOE5F0utNdXV3d5/v51IdOV9U5p5Mf1d86deqUkFKiUBgBk94NUCjcRYVVYRhUWBWGQYVVYRhUWBWGQYVVYRhUWBWGQYVVYRhCNqxCiBNCiCYhRL0QokwIsUIIEd2LcvKFEHf5oD25QohT3pYTzIRsWJ1cI6WMBiYAk4A/nL+BcBDqv6eAQP0RACllCfApMAq+O1o+LoTYBDQCgy+0nxDicWAm8ILzCP2C8/1hQogvhBDnhBAHhRA3dtnnKiHEN0KIOiFEiRDi10IIm7P+dGc59UKIdG0/tQGRUobkApwA5jpfDwAOAI85f84HTgIjgTDA4qKcfOCuLj/bgGJgsXPf8UAFMMK5/gww0/m6DzDB+ToXOHVe2TOAar1/V4GyhPqR9X0hRDWwEVgH/LnLuhVSygNSynYpZZsHZV4NnJBSLnfuuwv4J3CDc30bMEIIESulrJJS7uyuICnlRillvGcfKXgJ9bBeJ6WMl1JmSCnvl1I2dVlX3MsyM4CpQojqzgW4FejrXH89cBVQJIRYJ4S4qPfNDy3C9G5AAOPu2MnztysG1kkpL7vgxlJuB34khLAAvwDewaEhaqxmD4T6kdUXlPH9E7CPgRwhxCIhhMW5TBZCDBdCWIUQtwoh4pxqUQvYu5STKISI83P7DYMKq/f8DVgohKgSQjwvpawD5gE/AU4DpcCTQLhz+0XACSFELXAvDkVASlkIrAKOOfUhXQgxUwhR7+fPE7AI51mnQhHwqCOrwjCoEyw3cPFVfKWUcoNfGxPCKA1QGAalAQrDEHJhdXYhfSWEqBFCHBFCLOiybo4QolAI0SiEyBNCZHhQ7gQhxPouo7ge6LIu01leo7P8ub7+XCGB3td7/bngcPRDwP8CzMClQAOQAyQBNTgui0YATwNb3Sw3CSjH0Q0VDsQAw7us3wL8FxCJ4wpWNZCs9+/DaIvuDfDrh3WMqqrH6erO9z4HHgPuATZ3ed8GNAHDgATgFI4hhQDRwBHgp86f/wys7KbOHKAFiOny3gbgXudrM/AIcBSoA3YAA5zrJHA/cNi57jFgCLAZxwWFdwCr3r9Xfy0hpwEXQOAI8UhgT+ebUsoGHAEaKaU8B9wJLBNCpADPAbullG86N58GnBNCbBZClAshPhJCDHSuGwkck46LBZ3scb4PjqP8zTjGC8Q662nssu3lwERnHb8FXgFuw3GJdpRz35Ag1MJ6EMfX9W+cl0HnAbOAKBxHy5rztq/B8ZWOlPJz4F3gSxzB+lmX7foDtwMPAAOB4ziuRtFTucBdwB+klAelgz1Sysou2z4lpayVUh4A9gOfSymPSSlrcIyBHd+L34MhCamwSsf1+OuA+Tgugz6I46v0FA49iD1vl1gcX7+dvILjaLbivEA1Ae9JKbdLKZuB/w1c7LzO31O5A3Acwbuj7Lx6zv/Z41txjEpIhRVASrlXSjlLSpkopbwcxyCUbTgGX4/t3M45en+I832EEGYcYX0TuF8IkdWl2L18f9RU19cHgMFCiJgu743tLBfHKK0hvvhswU7IhVUIMUYIESGEiBJC/BpIA1YA7wGjhBDXCyEigEeBvdIxwAQcJ0ESh1M+DbzpDDDAcmCBEGKcc+jfH4GNUsoaKeUhYDfwJ2e9C4AxOAZkA7wKPCaEyHbe7zVGCJGo9e/BkOh9hufvBUfQqnB8PX8KZHVZNxcoxPH1mg9kOt+f6NwnS/7rDH4T8Psu+94HlDi3+wjnGb1zXaazvCYc3jy3yzozjhsVj+NQg+1Af+c6eV77NgJ3dPn5P4FX9f6d+mtRl1sVhiHkNEBhXFRYFYZBhVVhGNR4Vh+Q+bs14TjGB3QuCTjGHFQAZ53/1p/4y3x1guAFLk+w4uPjZVZWVrfrfUVDQwM2m03zejyty2620hHTl46oJOyWKKQ1CrvFht0ahbREffeeDIvoubCONkxtjYi2Rkytzn+/e92AqbmGsLpSTC21CI0+jzf4q54dO3ZUSCmTL7TO5ZE1NTWVgoICbVrVhfz8fHJzczWvx1Vdre12dhdXs/NkFftLajhwupbjFQ3f2ybSYibJZqWPzUKCLZyEKAt9bFYSbVb62KwkRFlJsFmJi7Kwcet2Bg0dxbmGVsfS2EpV5+uGVqoa26isb6G2uf17dSTarAxPj2VUvzjG9o9j2uBE4qOsHn8eX+OveoQQRd2tC1kNkFJyuLyevMJyNh2tZPvxczS1dQDQLz6SUf1i+fH4fozqF0dWSjRJ0eFEWs09lPovSuPN5A5P7XG7tg471Y1tnDzXwIHTtewvqWF/SS3L1h+j3S4RAkakxTI9K4mZ2UlMHZSINSw0TzVCKqxSSg5XdbDh42/44psyTp5zDG7KSonmxkn9uWhIElMHJdDH1v2RzNdYzCaSY8JJjglnYkbCd++3tHew71QNm49WsulIBSs2neCV9ceICQ/jkqHJzBuRylw3/jMEEyER1uJzjazeWcLqXacoqmzGGlbE9CGJ/GzWYOYMS6VvnBvO6WfCw8xMykxgUmYCv5qTTVNrB5uPVvDFN2Ws/bacNXvPEGExMTZR0JFaxqycZMLMwX3EDdqwNrd18NGe07y74xTbjp8D4KLBiVyW3s6/LZxNdLixPnqk1cyc4anMGZ6K3S4pKKriwz0lvL/jJEveKCA1NpwbJg7g1mkDSYuL1Lu5mmCsv5gbnGto5a2tRby55QQV9a0MSrLx63k5XDe+H/37RJGfn2+4oJ6PySSYMiiBKYMSyI2toD1lOP/YfpKX8o+wdN1Rrhmbzl0zBzEyPbhmIjL2X60LxecaeWX9Md7dUUxzm53cocncPXMwFw9JRAhPOoOMRZhJMHdUX64Y1Zfic40s33SCt7ef5L1dJczISuLeWUOYnhUcvwPDh7W8tpkX8o6wattJBILrxqdz18zB5KTG9LxzkDEgIYpHrxnBA3Oy+e9tJ1mx+Ti3vfY1Uwcl8JvLhzIpM6HnQgIYw4a1pqmNl/KP8MbmE7R3SG6cPIBfXpoVtL7mCXFRFu7LHcKdMzL5x/Zinv/yCAuXbiF3aDK/vXwYI9LPv3HBGBgurHa75J2CYp767CBVja0sGNePB+Zmk5HonytgRiI8zMxPL8pk4cT+vLG5iKXrjnL13zdw69QMHpyX4/JiQyBiqLDuKa7mjx/sZ++pGiZn9uFP10xhVL/gOonQgihrGPflDuGWKQN5bu0h3txygo/2nuY3lw/l5skDMZmM4bOG6Jhrae/g6c8KWfDSJkprmvnrTeN452cXqaB6SFyUhf+4diSfPDCToakx/P69/dzy6lZOVjb2vHMAEPBh3V9Sw49e2MSLeUe5fkJ/1j44i+vG9wuKs1u9GNY3lrfvmcaT14/mQEktl/91PW9sPkGg3zUSsBrQYZe88NUR/v7VYfrYrLx2+yTmhNjlRS0RQnDT5IHMzE7m4dX7+NOHB8g7WM7TC8eSHBPecwE6EJBH1rN1LSx67WueW3uIq0an8cW/X6KCqhHp8ZGsWDyZx340ki1HK7nyb+tZd+is3s26IAEX1u0nznH13zewo6iKpxaO4fmbxxvurNVoCCFYdFEmH/5iBom2cO5Yvo2/rT2M3R5YWhAwYZVS8trG4/zkla1EWsy8d/90bpw0QO9mhRRD+8bw/s+ns2BcP55be4i73iygttmT59VpS0CE1S4l//HhAR77+BvmDEvhw1/OMGzHtdGJtJp59saxPPajkaw/dJYbl27hTE1Tzzv6Ad3D2tzWwYu7W3hjSxH3XDKYpbdNJDbConezQppOLVixeAqnqppY8OJmiuvsPe+oMbqGtbqxldte/ZqdZR08evUIHrlquGE6qEOBGdlJvHuv42mdj29tYtORCl3bo1tYT1c3sXDpFvaequG+ceHcOWOQXk1RuGB4Wizv/fxikiIFi1dsJ6+wXLe26BLWMzVN3LxsK2W1zby5ZApT+gZsd68CSIuL5HdTIhmaGsM9Kwv4/ECpLu3we1jLapu5ZdnXnKtvZeWSqUwbrCbMMwLRVsFbd01lZHoc9/+/nXy674zf2+DXsJ6ta+HmZVspr21mxZ1TGDcg3p/VK7wkLtLCyiWOv9uv3t7FhsP+vXjgt7DWt7Rzx/JtnKl2BHViRh9/Va3wITERFl67YzJDkqP52cod7Cmu9lvdfglra7ude1fuoLC0jpdum8Bkg49YD3XiIi28eecUEmxWFq/YztGz/nlwt8vpg7Kzs+WyZcu8qkBKySt7W9hypoMlo6zM7P/DPtT6+nqio/0zNb6/6gqFekob7Dz+dRNWk+CP0yKIj/D+2Dd79uwdUspJF1zpaqbhnJwc6S1L84/IjIc+ln//8lC32+Tl5Xldj7v4q65QqWdvcbUc/sdP5Y9f2iRb2jq8rgcokN3kUVMN2HSkgif/p5D5o9P4+WztJ3hT+J/R/eN4auEYdhRV8fiabzStS7OwllQ38ctVuxiSHM1TC8eowdJBzNVj0rl75iDe2FLE6p2nNKtHk7C2tHdw31s7aGu3s3TRRGwGn1RC0TMPXTGMaYMTeHj1Pg6cPv8Zdb5Bk7A++/kh9p6q4ZkbxzIkOWSeKRbShJlNvHDLBOKjLPxq1S6aWjt8XofPw7rlaCXLNhzj1qkDuXxkX18XrwhgkqLDefaGcRw928BfPv3W5+X7NKy1zW08+M5uMhNt/H7+cF8WrTAIM7KTWDw9kze2FPn89hifhvWJTwoprW3muZvGEWVVnhqqPHTFMLJSonlk9T4aW9t73sFNfBbWrccqWbXtJHfPHKyu+Yc4ERYzf14wmpLqJv725WGfleuTsDa3dfDw6n0MTIji3+bm+KJIhcGZMiiBGyf157UNxyksrfVJmT4J6/JNJzhe0cDjC0Z5NO++Irh5+MrhxEZaeGT1Pp/cKet1WCvqW3gp7whzhqUwM/uCT4RRhCh9bFYeuWo4O09W84+CYq/L8zqsf117iMa2Dh6+Sp39K37I9RP6MSUzgWc/P+T1yZZXYT1SXseqbcXcOnUgWSmq81/xQ4QQ/PaKoVTUt/DG5m4fceUWXoX1iU8KibKYeWBOtleNUAQ3kzITmD00maXrjlLT1PtJM3od1n2naviysJx7c4eQGB2YE3kpAocH5w2lpqmN1zYc63UZvQ7r0nVHiQkPY9FFGb2uXBE6jOoXx/zRaby68TiV9S29KqNXYT1e0cAn+89w20UZavYUhdv8+2XZNLZ2sHJr79y1V2F9Zf1RLGYTi6dn9qpSRWiSlRLDpcNSeGtrEc1tno/K8jis5bXN/HNHCTdM7E9KTOA9RlIR2CyZMYiK+lY+3H3a4309Duvb24tp7bBz18zBHlemUFw8JJFhfWN4beNxj6eF9yisHXbJP7YXMz0rkUFJ6lE+Cs8RQrB4eiYHy+rYebLKo309CuuGw2cpqW7i5ikDPapEoejK/DHpRFnNvFvg2f1aHoX17W3FJNqszBuh7gBQ9J7o8DDmj07joz2nPboE63ZYa5vb+KqwnGvHpWMN030OYoXBuWHSABpaO/h0n/szEroczm+328nPzwdg8+l2WjvspLeXkp/v29sV6uvrv6tHa/xVl6rHNVJKkiIFK/P3k1h3xP2dulu6zsiyZMV2OfXxtbKjw+71rBvno2ZkCc16/vTBfpnz+09kY0v7d+/h7Ywsdc1trD98litH91XTqCt8xmUjUmlpt7PRzenf3Qrr5qOVtLbb1YmVwqdMzkwgJjyML78tc2t7t8K68XAFUVazmlNV4VOsYSZmDU1m7bflbt324l5Yj1QwdVCC6gVQ+JzLRqRSUd/C7lM9T0rcY/qKzzVyvKKBGer+KoUGdN63t/VYZY/b9hjWzmcfzcxO8rJZCsUPSbBZGZxsY2dRz5deewzrjqIq+kRZyFb3WCk0YuLAPuwoqupxYEuPYd1/upZR/eLU/KoKzZiY0YeqxjaOVzS43M5lWKUpjMNldYzuF+fTxikUXensZSroQQVchzUunXa7VGFVaMqQ5GiirGa+PeN6miHXYY3vDzhu9lIotMJkEmSlRHO4zPUjilyHNSYVm9VM/z6RPm2cQnE+WSnRHC6vc7mN67DakshMsqmTK4XmZKfEUFbbgikyptuZ/VyHNTqRzER1+4pCezITowCwJPS3drdNt+NZM3+3JoyoRDKchSgUWpIW71BNc1xKt2F1dWRNxmT+rhCFQkvS4xy39YfFJPcyrECirdt9FQqfkRQdjsUsCIv1IqwJKqwKP2AyCRJt4ZgiY7tVUxVWRcAQH2XBFBHdq7AmgQqrwn/ERvY+rDZw3OOtUPgDm9WMCLN2m0lXYbUCWMzq7gCFf7CYTQiTudsrUK7DKu2Y1d2sCj9hCTOBOaz3Ye1pQKxC4SvMQrg8soruwpj5uzW3AysenRbB4HhtH8RWX19PdLR/7kTwV12qHs+QUvLrdU2UHNpTU/rfD1/weaquzp4+wN7OGUsad+aO0KiJDvLz88nNzdW0Dn/XperxjF0nq6j8bDONBzd1OwK7Ww048Zf51abyQ3yyr1SpgEJz1uw9g8UsaPh2fbf3ZLs81TeV7Kakuok9p2p83zqFwomUkk/3lzIzOxl7U123DxtwHdYz+7GYBWv2ej7/u0LhLruLqympbmL+6DSX27kMq2hrZkZWklIBhaZ0KsDcEakut+uxx3/+mHSlAgrN6KoAcZGun6nWY1gvG5GqVEChGe4qALgR1rhIi1IBhWa4qwDg5iyCSgUUWuCJAoCbYVUqoNACTxQA3AyrUgGFFniiAODBo4WUCih8iacKAB6EVamAwpd4qgDgQViVCih8iacKAB4+DlOpgMIX9EYBwMOwKhVQ+ILeKAB4GFalAgpf0BsFAA/DCkoFFN7RWwWAXoRVqYDCG3qrANCLsCoVUHhDbxUAehFWUCqg6B3eKAD0MqxKBRS9wRsFgF6GVamAojd4owDQy7CCUgGFZ3irAOBFWJUKKDzBWwUAFzOyAGRnZ8tly5Z1u/6/djRTUmfnmVmRXj3RRc3IEvz1rCpsYW1RO89fGoXN0n1WZs+evUNKOemCK6WU3S45OTnSFe8WFMuMhz6Wu05WudyuJ/Ly8rzaPxDrUvX8C7vdLi9+4ku5ePm2HrcFCmQ3efRqPkulAgp38IUCgBfOCqpXQOEe3vYCdOL1TMGqV0DhCumDXoBOvA6rUgGFK3ylAOCDsCoVULjCVwoAPggrKBVQXBhfKgD4KKxKBRQXwpcKAD4Kq1IBxYXwpQKAj8IKSgUU38fXCgA+DKtSAUVXfK0A4MOwKhVQdMXXCgA+DCsoFVA40EIBwMdhVSqgAG0UAHwcVqUCCtBGAcDHYQWlAqGOVgoAGoRVqUBoo5UCgAZhVSoQ2milAKBBWEGpQKiipQKARmFVKhCaaKkAoFFYlQqEJloqAGgUVlAqEGporQCgYViVCoQWWisAaBhWpQKhhdYKABqGFZQKhAr+UADwckaWnmhok/zqq0YuywjjJ8PCu91Ozchi7HqOVnfw2NZm7h5tZXo/78Kq2Yws7nDH61/Li5/4Utrt9m63UTOyGLuexz46ILMeWSOrG1u9rgetZmRxB6UCwY30kwKAxs4Kqlcg2PFHL0AnmodV9QoEN/7oBehE87CCUoFgxZ8KAH4Kq1KB4MSfCgB+CqtSgeDEnwoAfgorKBUINvytAODHsCoVCC78rQDgx7AqFQgu/K0A4MewglKBYEEPBQA/h1WpQHCghwKAn8OqVCA40EMBwM9hBaUCRkcvBQAdwqpUwNjopQCgQ1iVChgbvRQAdAgrKBUwKnoqAOgUVqUCxkRPBQCdwhoXaWFmdrJSAYOhpwKATmEFuGp0mlIBA6G3AoCOYVUqYCyO1dh1VQDQMaxKBYzFttJ2XRUAdAwr/EsFjtfY9WyGogeklBSUduiqAKBzWDtVYFtpu57NUPTA7uJqKpulrgoAOoe1UwW2l3YoFQhg1uw9g1mgqwIAhLlaabfbyc/P17QBgy1tfNUsWf7BVwyON2taFzhmFtH6MwVTPVJK3itoYli8ZNfXmzSrxx1chtVkMpGbm6tpA8Y3tbF8/+ecsaRxZ+4ITesCyM/P1/wzBVM9u05WUfnZZn6cHe6Xz+MKXTUAHCowKsmsegUClM4LAeNSXB7X/ILuYQWY3NesLhAEIF0vBNgsQu/mBEZYx6eEqQsEAYjeYwHOJyDCarMIdYEgANF7LMD5BERYQY0VCDQCYSzA+QRMWNVYgcAi0BQAAiisaqxAYBFoCgABFFZQKhAoBKICQICFValAYBCICgABFlalAoFBICoABFhYQamA3gSqAkAAhlWpgL4EqgJAAIZVqYC+BKoCQACGFZQK6EUgKwAEaFiVCuhDICsABGhYlQroQyArAARoWEGpgL8JdAWAAA6rUgH/EugKAAEcVqUC/iXQFQACOKygVMBfGEEBIMDDqlTAPxhBASDAw6pUwD8YQQEgwMMKSgW0xigKAAYIq1IBbTGKAgAIV1+v2dnZctmyZZo3or6+nujo6G7XP7ejmVN1dp6ZFYkQ3t0S3FNdvsIo9awqbGFtUTvPXxrl8nZrf32e2bNn75BSTrrgSillt0tOTo70B3l5eS7Xv1tQLDMe+ljuOlmleV2+wgj12O12efETX8rFy7dpWo8nAAWymzwGvAaAUgGtMJICgAGcFVSvgFYYpRegE0OEFVSvgK+RBuoF6MQwYVUq4FuMpgBgoLAqFfAtRlMAMFBYQamArzCiAoDBwqpUwDcYUQHAYGFVKuAbjKgAYLCwglIBbzGqAoABw6pUwDuMqgBgwLAqFfAOoyoAGDCsoFSgtxhZAcCgYVUq0DuMrABg0LAqFegdRlYAMGhYQamApxhdAcDAYVUq4BlGVwAwcFiVCniG0RUADBxWUCrgLsGgAGDwsCoVcI9gUAAweFiVCrhHMCgAGDysoFSgJ4JFASAIwqpUwDXBogAQBGFVKuCaYFEACIKwglKB7ggmBYAgCatSgQsTTAoABpk+yB3cnWLIKNP6+KIed6cG8rYeX2L46YPcwd0phowwrY8v6vFkaiBv6vE1GH36IHdQKvB9gk0BIEicFVSvwPkEUy9AJ0ETVlC9Ap3IIOsF6CSowqpUwEEwKgAEWViVCjgIRgWAIAsrKBUIVgWAIAxrqKtAsCoABGFYu6pAW4dd7+b4nQ92nw5KBYAgDCvALVMGUlLdxONrvtW7KX5l85EKVm4t4pox6UGnABCkYZ07IpUlMwaxYvMJ3i0o1rs5fqH4XCO/WLWLQUk2/s91o/RujiYEZVgBHr5yGBcPSeTh1fv4qrBM7+Zoytm6Fha99jXtHXZeWTSR6PAwvZukCUEb1jCziZcXTWR4Wiz3vbWTrccq9W6SJjS0SX76+jbKaltYvngKg5O1H2yiF0EbVoCYCAsrFk9mQEIUdyzfRt7Bcr2b5FPKa5t54usmjpbX8/KiiUzM6KN3kzQlqMMKkBgdztv3TGNIcjR3v1HAltPtejfJJxRVNrBw6RbONklev2Myl+Qk690kzQn6sAIkRYez6p5pTMjow8t7W3jyfwrpsBv3Cte6Q2e59oVN1Da38dvJEczITtK7SX4hJMIKEBthYeWSKeQOCOP/5h/l9te3UVnfonezPMJul7yYd4Q7lm8jLS6CD34+nSHxZr2b5TdCJqwA4WFm7hgZzpPXj2bbiXPMe249H+wuMcQ4gsNlddzw8hae/uwg145N5737p5ORaNO7WX4lOPs4euCmyQMZOyCeh/65jwfe3s37u0r4zwWj6RcfqXfTfkBLewdL84/xYt4RosLNPHPDWK6f0M/rp4MbkZAMK8CwvrGsvu9iVmw+wTOfHeTSZ/JZPH0Q980aQlyU/ld/7HbJh3tO8+wXByk+18S1Y9N59JoRJEWH69003QjZsAKYTYIlMwZx+chUnv38EC+vP8pbW4u4ddpAlkwfREpshN/b1Npu5/3dJSxdd5RjZxsYnhbLm3eODomz/Z4I6bB20r9PFM/dNI67Zw7mpfwjLFt/jNc3HufSYSncMHEAuUOTCTNrq/eFpbW8W3CK93eVUNnQyvC0WJ6/eTxXj07DZAq9r/wLocLahRHpsbxwywSKKhtYuaWI93eX8NmBMuIiLczKSWb2sGRm5aSQYLN6XVdru53tJ87xVWE5eQfLOXa2AYtZMGdYKjdPHcgl2Ukh6aWuUGG9ABmJNv5w9QgeunIYeYXlfHagjHWHyvlwz2mEgOTocNLjI0mPjyA9LpK0+Ej6xUeQFhdJWnwESbZwmtolh8rqKKlu4kx1M6ermzhd08Tp6ibO1DRzprqZ1g471jAT0wYncvtFmVwzNt0n/xGCFRVWF1jMJuaN7Mu8kX2x2yX7T9ew4XAFRZUNnKlpprC0jrzCszS1dVy4gLXrv3tpNglSYxwhH9M/nitGRTA5I4GLsxKJsqo/gzu4nJFFCHEWKPJfc4yJKSrebOmTZjXHpVgtfdLD42fcOqDp+K7qxoMbz7VXl7W215S2tteebcPeTagVXcmQUl7wbNJlWBWKQCKkrmApjI0Kq8IwqLAqDIMKq8IwqLAqDMP/B0YqS9vFciiJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r = 30.\n",
    "cs = CrossSection.standard(label, None, height=r * 3, width=r * 2, unit=unit, \n",
    "                           r_channel=r / 2, \n",
    "                           r_wall_bottom=3 * r,  \n",
    "                           r_roof=r, \n",
    "                           h_bench=r/5)\n",
    "cs.generator()\n",
    "fig = cs.profile_abs_figure()"
   ]
  }
 ],
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