Exercise_18_2_solution.ipynb

{
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   "cell_type": "markdown",
   "metadata": {
    "id": "jLCfvrxgrNPX"
   },
   "source": [
    "# Exercise 18.2 - Solution\n",
    "## Generation of air-shower footprints using WGAN\n",
    "In this tutorial we will learn how to implement Wasserstein GANs (WGAN) using tensorflow.keras.\n",
    "\n",
    "Recall the description of a cosmic-ray observatory in Example 11.2 and Fig. 11.2b.\n",
    "In response to a cosmic-ray-induced air shower, a small part of the detector stations is traversed by shower particles leading to characteristic arrival patterns (dubbed footprints, see Fig. 18.13).\n",
    "The number of triggered stations increases with the cosmic-ray energy.\n",
    "The signal response is largest close to the center of the shower.\n",
    "\n",
    "#### Tasks\n",
    " 1. Build a generator and a critic network which allows for the generation of $9 \\times 9$ air-shower footprints.\n",
    " 2. Set up the training by implementing the Wasserstein loss using the Kantorovich-Rubinstein duality.  \n",
    " 3. Implement the main loop and train the framework for 15 epochs. Check the plots of the critic loss and generated air shower footprints.\n",
    " 4. Name four general challenges of training adversarial frameworks.\n",
    " 5. Explain why approximating the Wasserstein distance in the discriminator/critic helps to reduce mode collapsing.\n",
    "\n",
    "\n",
    "\n",
    "This approach is a simplified version of: https://link.springer.com/article/10.1007/s41781-018-0008-x\n",
    "\n",
    "Training WGAN can be computationally demanding, thus, we recommend to use a GPU for this task."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_Oc-7BCDrNPZ"
   },
   "source": [
    "### Software\n",
    "First we have to import our software. Used versions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "kCa9SQGrrNPZ",
    "outputId": "8d2f9bb6-453e-4310-86c8-f0475288f86f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensorflow version 2.5.0\n",
      "keras version 2.5.0\n",
      "numpy version 1.19.5\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from tensorflow import keras\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "tf.compat.v1.disable_eager_execution()  # gp loss won't work with eager\n",
    "layers = keras.layers\n",
    "\n",
    "print(\"tensorflow version\", tf.__version__)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "iin22Ul8rNPc"
   },
   "source": [
    "## Data\n",
    "To train our generative model we need some data. In this case we want to generate cosmic-ray induced air showers. The showers were simulated using https://doi.org/10.1016/j.astropartphys.2017.10.006"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 36
    },
    "id": "PZwKf8QyrNPc",
    "outputId": "2f2401b9-c2e2-4cc2-e675-b38330c37482"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'airshowers.npz'"
      ]
     },
     "execution_count": 2,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gdown\n",
    "\n",
    "url = \"https://drive.google.com/u/0/uc?export=download&confirm=HgGH&id=1JfuYem6sXQSE3SYecHnNk5drtC7YKoYz\"\n",
    "output = 'airshowers.npz'\n",
    "gdown.download(url, output, quiet=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "657Ia0jArNPc"
   },
   "outputs": [],
   "source": [
    "file = np.load(output)\n",
    "shower_maps = file['shower_maps']\n",
    "nsamples = len(shower_maps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NSDISiI4rNPe"
   },
   "source": [
    "Now, we can have a look at some random footprints of the data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "id": "S7quv3oprNPe",
    "outputId": "10149c08-48ea-443a-e8d2-cac6460f130f"
   },
   "outputs": [
    {
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NPvWs9W9lblMjHbF5Oz0p95Qwfdh+3Lj/6QX4Fm4hpy6BbJaMvhk4ApinqjNEZBLws/zKbMiGy06axlEHjuORV5ew8pOtDK6q4MLjp3LslPEpJ5F+ecZ09q3diz/NfptVW7YhQE11JdeccDhXHjsNn9cRbw4chO3dazlryQSeDNl36F7MvvJLLN2ymXc2bSCiypSaWo4ZMzZpn7VHPPxk6heYveVd7v3oZTa07aDEI4jAuAFD+OI+J3Pm3tPwiBFMN0rWYtHslozuUNUOEUFEylR1pYgckHe5DVkxYcRQbr385KztZuzvoX70J7S1rWb++4N55eyP8Aw4FDIZANTfyEFLWZKzlkzgyZJDR4zk0BEjMzcILeOUsj9zysS3aApW0RzysW7VGL683/1QuhIJfh1KD0t/nf5EHmLJYMnoDSIyGHgamC0iO4F1OTs0FAQNrkJ3fx+CjUCYAYTwyjSk42m080WQwWj19/FUnJr2Wv0KewNPzloygcdGIm3/gN0/BDoBpaZkBzUlsMkTAgIQeAPdsRCtvg1P5aUpr9U1NHuPz26QvJU2TEQW9vg8K7YSZzfplowGUNXzY//9DxGZAwwC/pV/wQ12oYGl6M5rQNuJT4asoG3RrfmbRCLfwlP5xYTX+WDbNv6+Yhkbd+9maMUALph8IIeNHLnnasrmJ558tGQCj01o5+uxoJNuldgOaPkZEc9QPBWnxR2ds/Ij/jJnPis2bQXg0DEjuXHGURy73zjrC+0UEotlm6omHbaUyZLRfVHV13IroKFQaHgzuvPaaGBJSwe0/Br1jUXK6rv3+gMBvvrcMyzcvIlgOExYFQGeXtnI2EGDuPfzF1Cbxwt8R1OAIdSQvZbMywUbUFV0949JH3S66ICW/0D7DEH57Utv8K1Hn2fZxk+JqBJRZfH6Tfzb357hzrkLLC+3I1BBwvFbKjJZMlpE0s6mzuQcgzV0dAT55zOL+c8fPcn/3fEqmzftSniett4DmqmOADrQ3b/s/hSORPjiU4/zzqaNdIRChGM9Bwq0h4Ks3rGdCx97mJbOzjy+jUNJoKV0iMgYEZkjIitEZLmI3JzgnLy1ZMkTj4icAdwOeIE7VfXnVlzXqbTsbCUUDDNkeJIJa8HFENmR3UW1HQJvQtnxALz7yWYeeHtJwvkOHcEQf54zjxMPmMB+tcOyLb7zyX4IaCZLRk8WkfdSXEOIdhUUlf6gpba2Tr428x6atu6moyOIz+fhH08u5Ke//AKHHPrZk7xqJ7T/neigxSwIb0SDy5GSg2hYu5YPt2/vlVWk16mq7Ghv59Fl73P94ennAbmO7LWUyQjRvLWUd+ARES/wJ+BUYAOwQESeSTKUNSl+vz+niVK52uVq++rj8/ntTfehqpx/48lc96OL4s7R9qdi/dFZoK1o2+NILPDc/fpCOlMkJg2Gwjzw1hL+8/zUL1MLXT/5+kTJunsgwyWjJ2VwqfQpKmzECi254X4/9fgCPt3STCCWPicUihAKRfj1/zzH/Y989bN3LoF3yG0l8E60/Tmk5CDuXLwwba7FjlCIu5YsTht43PI3qpvctJTJCNG8tWTFE890YLWqfgwgIo8A55F4KGtC3JSA766fPEEwJpjH/zibi285jYED+zz5hDeTYEXY9ES2dP93+aatpEr1Flbl3Q2plzd3Q9LIRIgNk95U1Q0j1/LSklvu9xtzP+gOOj3Ztq2FXTtbGTI0Zh/ZQS5NdohA5FMAPt6ZWc/D1lY/EdWkUyPc9DeqJwm0lHaQTrdtkhGiVmjJisAzCuiZ038DcGTfk0RkJjAToLa2loaGhu5joVCIQCCA1+slHA7T3NyMz5e+aJnY+f3+Xr7y9Xn6v02jsz0IKB6vh/nz51PSZwE4wieCTkt6DX97LXOX3RR/QKrAGy3rpWMH07l3dcqyVJT4En63LjL9jonqyM57kg4p0AtRB5KXlvKp+1y1lIvP4+qHMO2Iyrj9IrB06QKka06OCoRvIFnjOamOAGQIeBu4dugwgoMyeZAV5r6W/P14IevHCtvubxWvpZSDdLrtMhghmg8FG9UWi6qzAOrq6rS+vr77mJ2tiYaGBnr6ytfnutEb+O0t99LZHuKsG47i6KOPjrOL+P8M/r8SHUYdz9xlN3HClN/32VsClVfjqb4GgMY587jztXfoDCUWTUWJj2+efjz1Rx2atKyZfsdEdVS0Jx4lt0ZuPyKZluxuXVv1O3ln/kf85w+foKPjsy4wr1eYftQ+fHnmjM++Z7AR3f5DIHG3dWIdAZRD9TfwVNbT0PAqD7//HsFI6h/V0aPH8PUEfye6KGT9WGEL5KylXEaIZosVgWcjMKbH59GxfRnjpgR84yaO5r8fuSWlnVRcjPr/nHFZYlZIxeXdn74wfSr3vrk4YeARoLykhPOmHZjyim5IGpkIKeqblqKSl5bccr+nH7kvX/zS8dx391y8Xg/BYJgDp+zN935wfq/zpGQy6t0bwh9l/D2iKFIRvdY1h07jseXLUgaeCl8JX6k7IuUV3fQ3qifZaimTEaJWYEXgWQDsJyITiIrkUuDy1CbxuCkBXzo78dagZSdAZwOZjcjxQenhiG90956hlQO477qLue6eJ+gMhboXwaosLaGyrJS7r72IyrLUiUUzKasdtvn4FLWnq01EWkj84k0AVdX0OfXtJ28tueV+X3LZ0Zxz3mGs/biJvYZVUzsi8SAoqfoy2vwTkj31xOOD8lMRT/R64wcP4bbjT+Rnr79GR4LBOhU+H5ccNIXjx41Pe2U3/Y2CnLWUdoSoFVrKO/CoakhEvg68SHQI6N2qujzf67odGfRTdNt5ENlG6uDjBc8gZNCv445MGlnDnO98mVcaV/PW6vWIwAn7T6D+gH326ISINg0uSP3CzAH0Ny0NGFDGgVNGpz6p/FxoewqCS0nWdf0ZnqiWqm/ttffKqYcwqrqaX731Bmt37aLE4yEUiTC0YgA3HXkUFx14UF7fw8lkq6VMRohaoSVL3vHEouHzaU/sR4hnCOz1ZDTVR3hD4nQfUgme4cjQ+xBvTaLLUOrzcubBB3Dmwf0kj6UWpqtNRIbTew2R9fZ7TY/RUm9EfDB0FrrzKxB8N0UGg4po0Bn6YEItzZiwDzMm7MP65l00tbYxsKyMiUOH7rnpcsDRWjIpc2xEvMNgr2chMB9tvRMC84EA4IHSo5DKmVB6DGKyU/fCjiee7muLnAv8Btgb2AqMAxqBPbfZ63JEKmDI3dA5G/X/H4RWgZQAXpABIAOh8jqk4kLEk7pbauygwYwdFL/C6Z6KU7VkAo/NiAiUHcWKnfvw6NL32bS7mZPKS3i/4wIOGTqi2MVzJjlMgcqC/yK6YNXLqjpNRGYAV9rq0ZA3Il607HRe2rAvT73/Iq0dH3NKeTX3zL2IGRPP5JIpUxngiV+5tN/jUC2ZwJMlTdtbeH3BakKhCEdNm8DYUUNTnt8ZCnHT0//krbXrCYTDRFSZNn4UVz38d6aNGslfLjiPAaVGMN2ova00IKiq20XEIyIeVZ0jIr+z1aMhjg1bdvH3FxazbNVm9hpcyQWnHcKRh4xP2vUVUeXfX3ieV9Z8HMtEMJqj9i7h9U0DWPDpmzz43ns8/oVLGVxeUdgv4mQcrCUTeLLggSfnc89jb3WPq7/jodc59bhJfPfG0/EkWYjqO8+9yJtr1/dKf6NAezDEok82cdPTz3HnJecntO2PCLb3S++KTY6bCzwkIluBVls9Gnrx9pI1fP+3z0RT5YSjfxkXLVtP/ZH78YOvnpEw+PzfooW8/PFHtCcYmdYRCvFJczNf/+dzPHjhxbaX3y04WUuOebng9/vZsmULfr+/IHbZ2i5+fz33Pf42gWCYzkCIQDBMIBDilTdX8o+X3k1os2FXMy+v+ihpzrXOcJh56zewett2S8tqhV2xfHa10vpuFnIe0bG5/0507ZCPgM9Z6qGIOP1+d3QG+cHvnqWjM9QddADaO4PMmb+KuQtXx9mEIhH+unBBwqDTRTASYdGmzazZudPS8hbTLl/bRFqymJy15IgnHjfkQXr42YV0dCZobXWGeOTZhZx/RnwGgRc+WNW9gFsyQuEwzyxfyTdOPNaysuZrVyyfXdjZPaCqPVtk99nnqfC44X6/vvCjpGN1OzqDPPb8Yk48Yr9e+9/bsoVgOP2PIqwRXli1iq9On25ZeYtll69tF07VkiOeePx+PyJCdXU1IpJxdM/VLhfbLVuTpyvasSvx0+XOtva0qTq60rJbWdZ87YrlE+geAtp3swoRuUBEVolIs4jsFpEWEbE8F1UxcMP93r6rlWAouSa27Yi3393ZSZKe7F6EIhGaO5ylpWLck24SaMlK8tGSIwJPVVUVqkpLSwuqmlU6ilzscrGdPLEWb5Jf/7jReyXcP3rwQCrSJPUr83oZNzj18E431I8VPruwuavtl8C5qjpIVQeqarVDshbkjRvu9/hRQynxJf6zIwITx8XPwamtqiKUpucAoNznY+++meLzLG+x7PK17cLmrracteSIrjY35EG6/PPTefWtDwj36W4rK/Nx3ReOSWhz9uQD+NkrqVeEVeDzUyZbWtZ87YrlEyhEktBPVbXRVg9Fwg33+4ip46iqLKe9Mxi37EdpiY8rzo3PmTZp2DCGD6hkXXPiVUq7UFU+d0DqpWIK/bsuaq42B2vJEYEHnJ8Hafzovfif736e//r9C7R3BBARROCma2Zw9GH7JLQZVF7O1445ir+8NT/hi9GKEh9XHXYoNVXxKeLzKasVdsXyKYDHXrEsFJFHgafpkYPFriy8hcbp99vr8fD7H1zE137yGO0dAdo6gpSV+FCUm6+u58CJI+NsRITbTjiBm194PmG+NYg+7Vx44IEMrUg/nLrQv+ui5WrDuVpyTOBxA0ccMp6n/+8rrF67lWAowv4ThlNS4k1p85Wjj6DE6+H3b7yNByEYieARodznY+aRR/C1Y+OWWzHYK5aBQBtwWo99CuwRgccNjN17KE/96cu8vugjVq9rYnB1BScfM4mhgwYktTl134ncdvwJ/HTuayh0L2XtEaHM6+Xkffblx/UnFegbuAiHaskEnizxeIT996nN+HwR4foj67jisEN4dfXHbG1pZeiOrcw7/zwqS9Nnl+532DzpTVW/ZN/VDZni83mZceT+zDhy/4xtrjzkUGZM2IcH3l3KnDVrKPX6OHu//bn2sMM5ZITJAhKHg7VkAk+BqCgp4ezJ0USfDQ0NJuikwGPjpDcRSbRyWDOwUFX/YZ9ngxWMGjiQ7x1/At87/gQaGhqYmWLxNoNzteSIUW0GQzddL0T7btZRDhwKrIptU4kuuHadSZ1j2KNIpCVryVlL5onH4CgE2/NLTQWOVdUwgIj8BXgdOA5431bPBkMBcbKWzBOPwVkoSETjtnSIyN0islVElqU5dQjQc5hQJTA0Jp50K40ZDO4hgZYsJmct5fXEIyK/IpqbJ0A0T8+XVDX1YHuDIQ059kvfC/wRuD/Neb8ElopIA9FG4QnAz0SkEng5J88WYLRksAM73/GQh5byfeKZDUxR1anAh8Ctac5PipsS8OXrMxQK7dEJCouRJFRV5wI7MjjvLuAYonMPngKOU9U7VbVVVb+dfYEtwxItue1+5+MzFx3l69Mt9QPYniQ0Hy3l9cSjqi/1+DgPuCiX67gpAZ8VPgOBAI2NjXtkgsJ8Exum6JceJiILe3yepaqzMr6uyCRVXSkih8V2fRL7d4SIjFDVxRkX0gas0JLb7ne+PrPVkRU+3VA/XeTyjkdE7gbOAbaq6pQk5+StJSsHF1wLPJrsoIjMBGYC1NbW0tDQ0H0sFAoRCATwer2Ew2Gam5vxpclxlqmd3+/v5asQPtPZhkIhmpqabPeZqV2iOipG/QCxxIYJ+6K3qWpd5heK4xtEf3+/SewVJ80+zElLVvw2s9WS3T5T2WWrIyt8uqF+ukmupVTcS/ou67y1lPZbiMjLQKLZWd/vGqstIt8HQsBDya4Ta53OAqirq9P6HuPv7WxNNDQ0UJ9grH8xWzBNTU3U1NQ4prWVqI6KuiyCDf3Sqjoz9u8M66+eGXZrye7WtZW/k3xsc9WRFT7dUD89yVZLqjpXRManOSdvLaUNPKp6SqrjIjmwfrAAACAASURBVHIN0UezkzXd4jNJcFMCPit8Njc3Z/Uj6i/1A3SPxLELEbkY+JeqtojID4DDgP9S1SW2OY1ht5bcdr/z9Zmtjqzw6Yb66SaxlvLqsu5JPlrKd1TbGcB3gBNVtS2fa7kpAV++Pn0+X9b2/aV+hNxG4ojIw0A9UWFtAH4ce/nZlx+q6t9F5DjgFOBXwB1AUZPmWaUlt93vfHzmoqN8fbqlfiCplvLtsu5JzlrKd1TbH4FqYLaILBWRO/K8nqG/o/FzeDJ5AlLVy1R1pKqWqOroJEEHoEuKZxNt7f0TcEL+IqMlg7Uk0JLF5KylfEe1TczH3mBIhM2zrTeKyF+BU4FfiEgZDphIbbRksAOnaqnogjMYeqEgIY3bLOQS4EXg9NgEzaFAMefvGAz2kEBL6Yh1Wb8NHCAiG0TkuhSn56wlk6vN4DjsHFwQe3/yZI/Pm4HNtjk0GIpItlpS1cuyODdnLZnAY3AUYvOoNoOhv+BkLZnAY3AWse4Bg8GQJw7Wkgk8Bodhy+gbg6Ef4lwtOWZwgZsS8Jkkofb57Erz0XczZIbb7rdJEmqfbSItOQVHPPG4KQGfSRJqn89uHNpKczpuu98mSah9tt04VEuOeOLx+/2ICNXV1YhIxtE9V7ti+/R6vQXx6bb6AWL90pG4zZAet93vfH1mqyMrfLqhfrpJoCWn4IgnnqqqKlSVlpYWVDWrPEi52BXbZzgcLohPt9UPgKBIxDkCcRNuu9/5+sxWR1b4dEP9dOFkLTkm8LglAZ8VPk2S0BQo4KC+aDfhtvudr0+TJDQNDtaSIwIPuCsBX74+TZLQVCgStne93j0Zt93vfHyaJKHpcK6WHBN4DAbA0a00g8FVOFhLJvAYHIdT+6UNBrfhVC2ZwGNwFqoQcmb3gMHgKhysJRN4DM5CgbAzW2kGg6twsJZM4DE4DIWIM1tpBoO7cK6WLJlAKiLfFBEVkWFWXM/Qj1Gi3QN9t36C0ZLBMhJpySHkHXhEZAxwGrA+n+u4KQ+SydVmn09UIRyO3/oBVmjJbffb5GqzzzahlhyCFV1tvwW+A/wj1wu4KQ+SydVmn89uHDoSpwDkpSW33W+Tq80+224cqqW8Ao+InAdsVNV3RSTduTOBmQC1tbU0NDR0HwuFQgQCAbxeL+FwmObmZny+9EXLxM7v9/fyVQif6WxDoRBNTU22+8zULlEdFaN+AFBFHdQyKxRWaMmK32a2WrLbZyq7bHVkhU831E83DtZS2m8hIi8DIxIc+j5wG9GugbSo6ixgFkBdXZ3W19d3H7OzNdHQ0EBPX4Xwmc62qamJmpoax7S2EtVR0Z54VCEYyvx8F2G3luxuXVv5O8nHNlcdWeHTDfXTjYO1lDbwqOopifaLyMHABKCrhTYaWCwi01V1SzaFcFMeJJOrzT6fXeTSShORM4DbAS9wp6r+POuL2IzdWnLb/Ta52uyz7cKpWsq5q01V3weGd30WkbVAnapuy+V6bsqDZHK12ecz+kI0u35pEfECfwJOBTYAC0TkGVVdkVshCouVWnLb/Ta52uyzdbKWHLEej8HQhaqioWDclobpwGpV/VhVA8AjwHm2F9ZgcDCJtJQBBdGSqBY+iZyINAHrCuRuGJDTU5iNOK1MhSzPOFWtSXZQRP4VK09fyoGOHp9nxd51ICIXAWeo6vWxz1cBR6rq160rtjPp51rq7+XJRUtJdRSzKYiWipK5IFVlWY2ILFTVukL5ywSnlclJ5VHVM4pdBjfRn7VkypMaJ2vJdLUZ9gQ2AmN6fB4d22cwGLKjIFoygcewJ7AA2E9EJohIKXAp8EyRy2QwuJGCaKk/JAmdlf6UguO0MjmtPFmhqiER+TrwItEhoHer6vIiF2tPxGm/E1MeiymUlooyuMBgMBgM/RfT1WYwGAyGgmICj8FgMBgKyh4XeETkVyKyUkTeE5GnRGRwkvPWisj7IrJURBbaUI4zROQDEVktIt9LcLxMRB6NHZ8vIuOtLkMPX2NEZI6IrBCR5SJyc4Jz6kWkOVYfS0XkR3aVx+AOjJYSlsVoyQpUdY/aiCZa9MX+/wvgF0nOWwsMs6kMXuAjYB+gFHgXOLDPOV8F7oj9/1LgURvrZCRwWOz/1cCHCcpTDzxX7PtnNudsRksJy2O0ZMG2xz3xqOpLqtqVknUe0XHohSaTtBPnAffF/v84cLKky4efI6q6WVUXx/7fAjQCo+zwZdhzMFqKx2jJGva4wNOHa4EXkhxT4CURWRRb38RKRgGf9Pi8gfgfZ/c5MXE3A3tZXI44Yt0Q04D5CQ4fLSLvisgLInKQ3WUxuAqjpT4YLeWOK+fxpFrXRFX/ETvn+0AIeCjJZY5T1Y0iMhyYLSIrVXWuPSV2BiJSBTwB3KKqu/scXkw095NfRM4Cngb2K3QZDYXFaCk3jJbyw5WBR5Osa9KFiFwDnAOcrLFO1wTX2Bj7d6uIPEX0kd4qsWSSdqLrnA0i4gMGAdst8h+HiJQQFcpDqvpk3+M9xaOqz4vIn0VkmOa4zIXBHRgtZY/RUv7scV1tsUWMvgOcq6ptSc6pFJHqrv8TfYm6zMJiZJJ24hng6tj/LwJeTSbsfIn1d98FNKrq/yY5Z0RXv7iITCf627BNvAbnY7QUj9GSNbjyiScNfwTKiD7yA8xT1a+IyN5EV9M7C6gFnood9wF/U9V/WVUATZJ2QkT+E1ioqs8Q/fE+ICKrgR1EBWUXxwJXAe+LyNLYvtuAsbHy3kFUsDeKSAhoBy61S7wG12C0FI/RkgWYlDkGg8FgKCh7XFebwWAwGJyNCTwGg8FgKCgm8BgMBoOhoJjAYzAYDIaCYgKPwWAwGAqKCTwGg8FgKCgm8BgMBoOhoJjAYzAYDIaCYgKPwWAwGAqKCTwGg8FgKCgm8BgMBoOhoBQlSeiwYcN0/PjxBfHV2tpKZWVlQXxlitPKVMjyLFq0aJuq1iQ7fvqMSt2+Ixxv917ni6p6hq2FcyH9WUv9vTy5aMkpOipK4Bk/fjwLFy4siK+Ghgbq6+sL4itTnFamQpZHRNalOr5tR4i3/hW/knD53muG2VYoF9OftdTfy5OLlpyiI8u62kTEKyJLROQ5q65p6H8oECIct/UnjJYMVpBIS07Bync8NwONuRr7/X62bNmC3+8viF0xfYZCoYL5dFv9KEpQI3FbPyNnLbntfufjMxcd5evTLfUDibXkFCzpahOR0cDZwE+Bb2Rr7/f7aWxsRERQVSZPnkxVVZVtdsX2GQgEaGxstN2n2+oHIAJ0qHNaZoUmHy257X7n6zNbHVnh0w3104WTtWTVO57fEV0itzrZCSIyE5gJUFtbS0NDQ/exUChEIBDA6/USDodpbm7G50tftEzs/H5/L1+F8JnONhQK0dTUZLvPTO0S1VEx6gdirTT69eKEOWvJit9mtlqy22cqu2x1ZIVPN9RPF07WUt6BR0TOAbaq6iIRqU92nqrOAmYB1NXVac+XcHa2JpK98CtmC6apqYmamhrHtLYS1VGxnnhUIehMrdhOvlqyu3Vt5e8kH9tcdWSFTzfUTxdO1pIVTzzHAueKyFlAOTBQRB5U1SszvUBVVRWTJ0/G7/dTVVWVceXmaldsn83NzVn9iPpL/QAoQof22+lleWnJbfc7X5/Z6sgKn26ony6crKW8A4+q3grcChBrpX0rm6DTRS4Vm49dMX36fL6s7ftL/SgQdKhY7MYKLbntfufjMxcd5evTLfUDztZSUebxGAzJiCAE8Ba7GAaD63GyliwNPKraADRYeU1D/0IROiKmPWS0ZMgXJ2vJmaUy9FsUCDq0lWYwuAkna8kEHoOjUBWCmp1YRKQcmAuUEf1NP66qP7aheAaDa3CylkzgMTiKCEKHlmZr1gmcpKp+ESkB3hCRF1R1nvUlNBjcgZO1ZAKPwVEoQiDLVpqqKtCVU6Qktjl0BoPBUBicrCVnjrUz9FuiQ0B9cVs6Yok1lwJbgdmqOt/ushoMTiaRloBhIrKwxzazr10htOSYJx6/35/TRKlc7Yrpsyu5YSF8uq1+lKT90sNEpGf+/1mxGfxRO9UwcKiIDAaeEpEpqrosK+d7AG673/n4zEVH+fp0S/1AUi1tU9W6lHYF0JIjAo+bEvCZJKH2+QSIqNARKUl0KK1gAFR1l4jMAc4A+lXgcdv9NklC7bOFlFrKCDu15IiuNr/fj4hQXV2NiGScAjxXu2L79Hq9BfHptvqBz1ppfbdUiEhNrHWGiFQApwIrs3K8B+C2+52vz2x1ZIVPN9RPF4m0lI5CackRTzxVVVWoKi0tLahqVnmQcrErts9wOFwQn26rH/isXzpLRgL3iYiXaGPqMVXtd4uoue1+5+szWx1Z4dMN9dOFk7XkmMDjlgR8Vvg0SUKTE01smN3PUlXfA6ZlZbQH4rb7na9PkyQ0NU7WkiMCD7grAV++Pk2S0OSoCkGHpvlwA2673/n4NElCU+NkLTmzVIZ+S4pRbQaDIQucrCUTeAyOIoLQ6dBWmsHgJpysJWeWytBvia6a6MxWmsHgJpysJRN4Csi23a1s3eUnFI4UuyiORRFCEWeKxWBwE07Wkgk8BWDzjt38+G8vseTjTZT6vFw5tYaHbn+Mn1x+GmNrBhe7eI5CHdw9YCg+kYgyf/HH/PPl95k0TvnHv5ZyWv2BVJRnnQxzj8fJWsq7VCIyBrgfqCU6dHyWqt6e73X3FLa3tHHZr/9Gc2sHEVUCoTCqsPTjTVzxm7/x+HevonZIdbGL6Rii3QPWz2sWkaEZnBZR1V2WO88Qo6XURCLKD3/xNAuXrqO9I8iYmrHc/1QDf3vyHf766ysZPHBAsYvoKJysJSvCYQj4pqouFpFqYJGIzFbVFdlcxE15kLKxe3DOYvwdnUS0d4LXiCptHUHumr2A2y45yRFldYJPG7sHNsU2SXGOFxhrh/MMyVtLbrvf2di++sZKFixZR0dnsHtfR2eQpm0t/PmeBm67+Sxby+v0+umLk7WUd+BR1c3A5tj/W0SkERgFZCUWt+RBytbu2QUrCIYSv9MJRSK8sGhl2sCzJ9dPXxQI2NM90KiqKSfGicgSOxxnSr5actv9ztb26ReW9Ao6XYTCEV55fSW33nQmIqn+FvavXG1O1pKlpRKR8URnvcal0Y6l354JUFtbS0NDQ/exUChEIBDA6/USDodpbm7G50tftEzs/H5/L1+F8NmTiycNIRzp/R6nprKEG44YBYBHSFi+QpY1UR0Vqn76oiqEbOgeAI626JyCkIuW8qn7XLVkt8+e1B1YxsETP2tE7zWolCvO/ezza6+9ZrnPbOyKXT99cbKWLAs8IlIFPAHcoqq7+x6PpbCfBVBXV6f19fXdx+xsTTQ0NNDTVyF89uRvf3yc+R9u6LXvhiNG8dcFGwGYMnYEX7kyvnyFLGuiOirmE08oYr1YVLXDinMKQa5asrt1beXvJBfbP979Kk8+v4RQrAfhinPH8tAz6wGYMHYvbriuPqltvuV1Q/30xclasiTwSHSJ1CeAh1T1yWzt3ZQHKVu76087knfXbqYjEIo7Vl7qY+YZRzqmrMX2CV390oVNmi4iz6nqOQV1moR8tOS2+52t7SXnHsE/Zy8jHO6k5yvTslIfN15Tb2t53VA/fXGylqwY1SbAXUT7/f431+u4KQ9SNnbT9x/DV888mj/98y3CqoTCEQQoK/Fxzcl1nDhlH8eU1Qk+VSFQ+LkHXy60w0RYoSW33e9sbIcPq+bPv7icX/zhX3z48aeIRPfddP1JHHV4ZjrKp7xOr5++OFlLVjzxHAtcBbwv0eVSAW5T1ectuPYewdUn13HyIRN5/K1lrN26g6HVHh777pWMHz6k2EVzHMVopcVe6jsBo6U0TBg7jDt+dSW7W9p55523+fuXLkk7oKC/4mQtWTGq7Q1SD6szAKOHDeaWc48Don3BJugkJ2zPC1EARGQN0e7vXqhq5k1mmzBaypyB1RX4vB4TdNLgVC05c1qrgwlGQnzasYuIRqgpH0SFt6zYRdqjUBWCYVu7B3oun10OXAxkMiHO4BBUld3BNsIaIRQJ4/M4My1MsXGylkzgyZDtnbt5dH0Dz22cj6KAENYIJ9UewhXjT2bMgJpiF3GPQIGwjd0Dqrq9z67ficgi4Ee2OTVYQluok6c2vMPDa1+nOdDGlZ0H8t+v/iefG1XH5eOPZ0SFST/VEydryQSeDFjX+in/tvBPtIU7CWm417GXNi+iYet7/M8h1zJtyMSE9qrK26vW8+AbS9i4vZkLJwxibuMajjtgPB6P6SrohUJY7asTETmsx0cP0Vab0UEBCYbDPLlgGfe+sZjNu3ZTUVrC5w6dzJdOqGPk4MTpo7Z3tjBz/h1s62yhMxKdRKqqtIcDPPnJfJ7buJDb667l4MHjCvlVnI2DtWQEl4bOcJBbFv+FllBbfGcmEEHpCAe47d27ue+o7zC8vHerKxJRvv3Q88xduYb2QFQw/pEVfPPBf3LEvqP5/dXn4vMW9gWgk1GEUNjW+vhNj/+HgDXAJXY6NHxGIBTm+rueYPnGT+kIRqcYBNs7eXT+e/xjyQoevOEL7DdiWC8bVeWmhXexpWMXYY3PAhLSMKFwmJsX3sNjx3+DYWUDC/JdnI6TtWT+4qVhztaldIQDCYNOT0KRME9+8kbc/r+9tZTXGj/uDjpdtAeCvLP6E+6as8DC0rofVYhEPHGbddfXGT22U1V1pqp+YJkDQ0ruem0ByzZ8FnS6CEUi+DsCfO3+f6B98hou2vExm9p3Jgw6va6hYR5f93baMgQ6g3E+9kQSacna6+euJccEHr/fz5YtW/D7/QWxy9T27+tfpz0cSHutoIZ5ZuPbvX7QqsrdcxbEiayLjmCI+19fTDiSfn0ep9aP1T4BwhGJ2+ykT5eBq3Hy/Y5ElAfeWkJnKLEeAHa2trN47cZe+x5b92ZGGgxEQjzxSVyGoW7CoTC3nfVTzqm8guum3MLWTU1pr9kTN2mwi0LqCDLXkiO62pycgO/Tjp0Zf4+OcJDOSJByb3RtkLbOIDv87altgiF2+NuoGZi83E6uHyt9QrR7wM4Xokm4EYdMIs0Hp9/vXW3tcU/+fQlFIjRuauLwCaO7961v25bRdwDwhzoIRkKUeOL/tC1/6wPef70RjShb1mzlib88w1Xf/cIenCTUuVpyxBOP3+9HRKiurkZEMo7uudplY+uTzKtIUXzy2fDFEp8nNgIuOeFIhNI0if+cXD9W+gRAQSMSt9mJqro+6IDz73dZiY9IJLUevCKUlvQeApzdcGnFm0SzQ0cMJhJb/VdEGDS82vbfdTHuSTcJtGQ3mWrJEYGnqqoKVaWlpQVVzSoPUi522dgeMmRfJMM5feMqh/cSSanPx+ETRqW0mbR3DYMGlFtSVqvsiuWzi0hE4rZUiMgYEZkjIitEZLmI3Jzm/CEiMl1ETujasi6kA3H6/a4sK2Xy3sNTXi+sSv2k3vMPjx52AKWSWfCZWD0CT5LAM3r/vfnmvTcy6fh9OfOmGex31ATbf9fFuCc9yUZHuZCrlhzR1ebkBHxfGHsi87c10hFJ3UVQ7inl8nHx6+rcctZxXHvH4wnf85SX+PjG2cdbVlar7IrlE6IvRDX77oGMF1ATkeuBm4HRwFLgKOBtIP1qfA7HDff75tOP4ev3P5NQD2U+H6dMmcjwPt3OF405ikfXvZlgjnxvKrylfHFCfcpzTrrkeKafNa1/JAnNQUvZrIKbj5YcEXjAuQn4Jg8cy1HDDuTtbSu65w/0pUR8jK0czozaQ+KOTR07ktuvPpfvPfwCgVCYiEbweISBFWX89AunM33fMZaV1Uq7YvkEIRLOrmWW5QJqNwNHAPNUdYaITAJ+lmNhHYfT7/fRE8fxo/NO5idPv4JHoD0YwusRSrxejt1vHP994alxNrUVg7l8/HE8su5NOsKJNVjq8bFf9Uhm1E6xtLzFtMvXNhctkd0quDlryTGBx6mICD846HJ+0fgor219j7BGuod1ehBKPT72HziG/znk2oQvNAGOPWAcDT+aybxVn7B5127Kd25m7o8vNPN3EhHrl07AMBFZ2OPzrNi6NL1ItYBajA5V7RARRKRMVVeKyAH5FtuQOecdfiAzDtyH55asZNWn2xg0oIJzDp3ExNq9ktrcMPE0PHh4cO1cBOluBHrx4PN4OWzoPvzskMtN+pyeJNdScpPsGnE5a8kEngzwebx8/6DL+eKEU3l8/essa15DWJV9q0Zy8djjmTQw6dLiAKh24ul8nqOHz4Zhu5m79DS8nU+gFecgUlGgb+EiEs+23qaqdYkOdJFuAbUYG0RkMPA0MFtEdgLr8imuIXsGVpRz+TGHZny+iDBzv1O5cPQB/GPtwyzYuZ2KkHJerY+Lxp/NPoOn21haFxOvpYwacJBRIy5nLZnAkwVjBtTw75MuQDU6Vs2TJjOuqqKtf4HW2H3Vtti/R6G7/xda/hsdcDVSdQuSxei5PRoFsu8eyHgBNVU9P/bf/xCROcAg4F85lNRQQDSyC23+AUM6G7hmiHDNkE7mLhvLVSMeg46niGzbFxn0M6RkctJrbGjbxstblrI90MLAkgGcWDOF/QemHvzjahJrKW0DDjJrxOWjJRN4MiSiyvNrP+Av782nccdWFGVs9WBmTpnORftNoczbuypVFW3+HnT8C0g0l6ct+sNovQ8NrYHBt5vgEyPNBPU4cl1ATVVfy86ToRhoeDu6/QKIbAP6vuMJR7fQcnTHZTDkLqT08F5n7Ohs4cfvP8Ty3eu7u8o9CI+sm8uoir34r6lXMq4y9Wg7t5KtliC3VXCz1ZL5S5cB4UiEG155iu+88QLLd3xKJDY7Z13LLv57watc8NyD+IOdvWy07QHoTBZ0etIOnXPR1jvsKr7rkIjEbWnoWkDtJBFZGtvO6nVNkcVp/WZwjqGwqCq68zqINBEfdPqe3Ibu/DIa2dG9a2fAz3Xv3M57u9YSiIS6389GUDojQda0fsrMd/7AutatNn6L4pGljjJqxFmhJUueeETkDOB2wAvcqao/t+K6TuG3S9/kjU1raQ/HDwFtD4VYvWs735j7PLNOjj55qobB/2fQdEGn+yrQehdaeT0ipRaW3IWoZN3VluECapNF5L0Ux4VoV0FR2dO11MWHKzbxp1+/wKqVmxk0uJJLrzmOcy+ui1/YLbgUwmuIDrbKAA2hbY8gVV8F4Hcf/IMdAT9hEjf9FaUtHOA/lv2Ne468JY9v5EBy0BKZrYKbt5byDjwi4gX+BJwKbAAWiMgzSYbfJcXv9+c0Xj1Xu0xtO8Mh7lmxKGHQ6T4nEua1jR+zpbWFEZXV0DkX6Ex6fmIi0PEyVJyV8KhT68dqnwBJ/kbky6QMzgmnP8U+rNCSG+73pg07+NaN99HRHn2C2b6thTv/OJtAIMjFVx7T61xtvQu0I4tv0RHtvq68gZZQJ683LU+bXFRR1rc28ZF/M/tWjUx6nps02E2WWsqwEZe3lqx44pkOrFbVjwFE5BHgPBIPv0uIk/MgvbNlQ0Z5CwThxXWruPrAw9DAQtDWjMrRjbaigbeRBIHHyfVjpU8AlIy6BLJFVd0wci0vLbnlfj/58DyCgd5/lzo7Qvzt7te56Iqjez/1BBaQduZoX7QDIltYuGM7PvESyOBpKRQJ82ZTY9LA4yYNduNgLVkReEYBn/T4vAE4su9JIjITmAlQW1tLQ0ND97FQKEQgEMDr9RIOh2lubsaXJn9ZpnZ+v7+Xr2x9Ngc6+OqAvQmnSaMuwIB1m2nY2gDhUaA3JT3X317L3GUJjssg8OZe1lztEtWR3T5TIfY88biBvLSUT93nqqVcfA6ubeeCq/dNeKyh4TV69baFriZZsz2pjvCCbxktwTAXdUxOmy+xi4oPW2hY15DwWCHrxwrbLpyqpYKNaouNFZ8FUFdXp/X19d3H7GxNNDQ00NNXtj4XfbqR2156jNZQ6hebA3wl/MfUU6jf72AiLb+D1jtIJpi5y27ihCm/77NXoOIKPIOuyrmsudolqqNiPvFQgGSGbiaZluxuXVv1O3ngztd4+sE34p56aoZXc/0Nl/Z64olsvS02mi2exDoCKENqXubNHdv507KHaQun7/YuES83TDyT+nGJU40Vsn6ssAUcrSUrAs9GoGfel9GxfRnj5DxI04bvTWVJadrAE1blzHH7AyDlJ6Ft92QxuACQCqT8tLzKapVdsXx24dRWWgHIS0tuud/nXXQEzz2xiJbmNkKhCAiUlfr42rfPjB9cUHY6tD9KxoMLALwjwDOcI4YOzfhpR0Q4qXZq0uNu0mBPnKolKwLPAmA/EZlAVCSXApdnexGn5kHyiPCdw0/gh2/PTjrAoMLn44uTDqO6tAwAKZmKekbERuNkiAyE0rhelazKaqVdsXyKgtjwil9EWkj8skAAVVUnrJect5bccL8HDh7AHQ/dwN8feItF8z9ixN6D+cIXj+XAqfF5C6Xyi2j742QeeCqQypmICGXeEj4/6mie3PBW0jyLEH3aOXzIxLhl6/viJg2Cs7WUd+BR1ZCIfB14kegQ0LtVdXm+13USF+13MFvbW7l96VtEIhGCsVEyXhFKPV7OHj+J79ad2MtGBt6K7rwJyGRETjlUfy++tddfseeFaLXlF7WY/qClLoYMrWTmzacSHcCXHPFNQMtOhs5XSa8lD3iGQsU53XtmTjyd5c3r+KBlY8LgUyJeasoH8cMpl2b/JdyAQ7VkyTue2Bjv59Oe6GK+OvUozhy3P/c2LuL1jeuIoBw6bCTXHVTHwcNGxJ0vZfVo9Xeh5RekFkw5VH0dT5Jh1P2RQnQPiMhwoHshJFVdb7/X9PQHLWWLDP4luvPLEFhCci2VgGcostdDvfIflnh83H74TO7+eDZPfvIWEH3z6gFCGuG0EdP42v5nU+XbM3MmOlVLJmVOFkwYNJSfHJW6hdYTT+UVqG882vJrCH1Eq0J1GgAAFBxJREFU9CcfJPqzLwffOKTqG0j5DJtK7ELUXrGIyLnAb4C9ga3AOKAROMg+r4Z8ECmFIXehrfdD213RnIcaAjwglYBC+QVI9b8hniFx9iUeHzdMPJNr9zmVxTs/YleglUpfGYcNmcgAX1nBv0/BcLCWTODJkLBGmLftAx5a+xoftmxEgdEVe3H5+BOZUXswpUmWRJCyY5GyY9HQauh8A9QPnlpkr0dTJjTsz9jcSvsvogtWvayq00RkBnClrR4NeSPiQ6qupa3scuZvfIxPW96lNFjNC81XUTf6KmoH1KS9RonHx5F79a8VMJyqJRN4MqA11MG/L76Lj/1baA8Huvev9m/mV41P8n+rX+TPR3wl5cvJ5VuqeGT+3qzfvovTa0p4b/Ngpo5R816nLza30oCgqm4XEY+IeFR1joj8zlaPhji2t7TyxLxlrNywlSHVA/j8EQdx8Lj4LuuePLtuGbct/Cci0BYawi0lPv78XgDeu5NL95nG9w89Da/HpJ/sxsFaMoEnDarKt5bcw4e7NxLU+CEi7eEAneEgNy64g4eO+Qbl3t651iIR5YdPvsQL738YW4FUOapqFNfe9TgnHDCBX196lhFLX+wVy65Yyve5wEMishXIMs2EIR+efmc5P33iFVDoDIXxiPDcwhUcse8Yfvulz1Hii1/M7flPVnDrwufo6DOyNBCJfv77mnfpjIT5ad3ZSf2+u3wD9z/yFmvWbaO2ZiCXXTSdE47e39ov5zQcqiXzFy8NS3euYVXLpoRBp4sIyq6An5c2L4k7du8bi/jX+x/SEQwRiWU/UI0u+fvaB2v40yvzbCu7GxEFTzh+s5DziKYM/3eia4d8BHzOUg+GpLy7dhM/e+JVOoNhOkPRGxtRpT0Q4p3Vn/Dzp+bE2YQiEX606IW4oNOT9nCQp9e9z8e7tyc8/tKcFXz7x39n4dJ1bN/ZyooPN/PT3/yTux96w5ov5kASaclictaSYwKP3+9ny5Yt+P3+gthlavvwurl09OheS0ZHJMhDa3svSRGORLhz7gLag4kF0xEM8cBbSwiE0s9RcGr9WO0TiLbS+m4WoaqtqhpW1ZCq3qeqv1fVxH+tXIjT7/dfZ8+nM4Uenlmwgt3tvUeuzdm8imAk/V/NcCTCfaveidsfCIb43R2z6ezs7bejM8TfnniH7Tsy+75u0mA3NukI8tOSI7ranJyAb1XLpoxTFG5s34HqZ+9tNuzcnVRkn6Gs3rqDA/dOvhCVk+vHSp9d2DwS5wLgF8BwohPenDSBNC/ccL8XfbQhpZ5KfF6Wrf+UYw4Y171v2c7NtIbSN/5CGmHRtk/i9jd+uIVkqRa9HmHeojWcferBKa/tJg32xKlacsQTj9/vR0Sorq5GRDKO7rna5WtrLZI2+7Wb6ifveo3Ntu67WcgvgXNVdZCqDlTV6j0h6IBL77fFJFJTKn1l2qh0kwa7SaAli8lZS44IPFVVVagqLS0tqGpWeZByscvG9oCBozJaFgFg9IC9eo1SGz1kIBWlJSltBNh3+F6WlNUqu2L57EIi8ZuFfKqqjZZe0SG44X4fMXFMSj0FQ2EOHtt7dNvUoXtT6Uu/QKJPPBxeE592Z/L+I5OOHo1ElKPqJqS9tps02BMbdQR5aMkRXW1OTsB36bgTWLhjda9h1Iko95ZyxfjeaXO8Hg/Xn3gEf5j9VsL3POUlPq4+7jBKE4ziyaWsVtkVyyfE8ktlufxKliwUkUeBp+mxWp9muLa8k3HD/Z556pG8s+oTOhLooazEx/nTD6K6ovekzvoREyn1eNMOl/KKh2v2mx63v6TEy7e+fio/v/1fBAKh7m63sjIfV1x0JHsNSf9d3aTBLpysJUcEHnBuAr5DBo9n0sDRLNu1nqAmfl/jFQ9DS6s4bcS0uGNXH3sYa5p28uzSRoLhMOGIIhINOicfOJGvzEieGDTbslppVyyfYE9iwx4MBNqAnqnAFXB94AHn3++p40byo4tP4SePzQYROoMhPCKU+rwcfcA4vv35E+NsvB4PP607m2/MfzrpyLYKbwkXjJ/K+OqhCY+fdPxkhtcM5IFH5/Hx2iZGDB/E5RdN5+gjEq8LlO/3tMIuX1twrpYcE3iciojwy0Ov4VtL7ubDlk1xTz4V3lKGllbzp7qvUOaN71YTEX5y/ilcdtQhPDL/XT7Z3szgAaU8MPMSDhpVW6iv4R5snvSmql+y7+qGTDinbjLHThrP0+8s54NNWxlSOYDPHTGZA0cn18Npoyfxy8i5fG/hs6DQFo4m/Czz+lBVLtv3ML53yCkp/U6ZNIpf/PhCS7+Lo3GwlkzgyYABvjL+WHcDC3asjqbM2b2RiEYYU1nD5eNO4IThB1GSJGVOF5NG1vAfn48Ko6GhwQSdFNg8EifRymHNwEJV/Yd9ng09GVJVwZdOqsvK5qyxB3LS3vvx/IYVzN3yMYO2w9f3OZ5LJhzKXuWVNpXU3ThVSybwZIhHPBy51/4cudcePtPZAdic5qMcmAT8Pfb5QmANcIiIzFDVW2z1bsiLcl8JF4w/hAvGHxJd8XPyscUukqNxqpZM4DE4CrsWr+rBVOBY1WgqChH5C/A6cBzwvq2eDYYC4mQtmcBTIFZt3Majc5ay9tMdnDy+nMb1nzJ5rOluS4REsh+KIyJ3A+cAW1V1SopThwBVRLsEACqBoaoaFpHO5GYGg/vIRUtZkLOW8go8IvIrorl5AkTz9HxJVXflc809kfteXMAdz80jFBvVdnjNKK771WNcderh3HjuMcUunrPI/YXovcAfgfvTnPdLYKmINBCdRnUC8DMRqQRezsmzBRgtGSzH/uzUOWsp3wmks4EpqjoV+BC4Nc/r7XGsWLeFv/5zHp3BEOEerY+OYIgHXl7Eog83FLF0ziSXzAWqOhfYkcF5dwHHEJ178BRwnKreGcs79e08i54PRksZsvPTZn5/871sWdvEh4vXFLs4jsbOzAX5aCmvwKOqL6l2T26ZB4zO9VpuScDX1tLOt077b2bWfZe1H6RfLfnBlxcTCCa+452BEPfPXmhbWfOxK5bPrlba/7d3/jFylGUc/3y567XCNQq0HFBKAUGwBA3l+CWgh23lgkYSgwZjEERtQEn8hcRQxCiESEhEEzRQhUgIWkRBmirlh3hqhCKlKZa2YFot0B/IFeToQeHYvcc/dvZyvd29vZ0fu+/cPZ9k0tmdeeZ57n3n22fm3ZnnrfLG9SxJa0YtSxo5rKTjon8XAIcAL0bLwdF3LSUtLeWtvxu1HR4e5huLrmPVHX9h9//e4Ire63np+f6mxJuH9tmLKlqqh6TbJb0s6Zlx9kmspTR/47kEuDuOYZ4K8P195ZM8+48tFN4pcs9PV3LZ9Z8f127LjldGpkMYiwH/eanuRXqu2idpYUNRc1x6l5k19vzt3nwTWEJpqt6xGPDRBMdOm1haylt/x7F9rf91du14lWKh/L+ose5vG+id15OZz1bYJbWFcbU0Hr+k/pB1Yi3JapVtLe8gPQJUmxpwaflZbUlLgW7gU1bjgNEV6hKArq6uk5YvXz6yrVAoMDQ0RFtbG8VikY6ODtrb6+fEidiVy03Esa3GW3veZsfm/zI8bMw+fH/2m7nvuHYv9r/G4J69Xzqdtd80dr1RegFu3+nTmNdVOU98GrFO1K5aG2Xl8+yzz35qvATSecBc+8DiyqcwH//NFePaAUg6AlhZ5+GClpG1luL22URt0zxPYtsabFn/AsPFYfafM5PXdg5y6HsPYt/Od2Xnc4J2zW6fOFoKRUd1W8DMxn0dWNLFlJ4mWlhLKNFxlgHLALq7u62np2dkW5ZXE319fYz2lYbPjQduHCk6WM/usQ1b+fatK9kz9M7Id1/+0Bx+/th2ZnS0c+0Xeuk58ZjEf2cSu2ptNImnRfg0sMrMdku6GlgAXGtmlbP4pUzWWsr66jrN8ySJ7ezO57jpq7dxxkUnsM/b0/hwz1lB3NmF0j6jqaKlWZJGj+8vi86nhkmipaRPtfUCVwIfMbM34x4nTwX4Ojs7mT9//oTtTp8/j4ULjuZPazfvlXxmdLRzxvFHcPYHj8401tCLRlZgsR+n/jXQQ0lY24DvRT9+juW7ZnaPpDOBRcCNwC3AxIrmZUQaWspbf8e1Pf7kY/nxo9ewevVqTjvttKD/zlYWCa2hpaRD1qOJraWkv/HcDEwHHo7uAFab2aVxDpSnAnyN2Eni+xedw1knHMWdDz/FjldeZ0ZHO1d/bhG9Jx/HPvtMbNKFydo+Y5EZKjaeeMzssxPctfykx8cpXe39QdJ1DTtMn1S0lLf+TuKzvb29qfHmqX0gvpYaILaWEiUeM6t/ue4gicUnvY/FJ5XK7fT19dFz6vtbHFW4ZPzuwXZJtwKLgRskTSeAealcS04WhKqllgvOcfbCQEWrWFLkM8CDwDnRC5oHAK18f8dxsqGKluoRDVk/DhwraZukL46ze2wteckcJziyHB6Ifj+5d9TnncDOzBw6TgtpVEsNDFkn0pInHicssi/z4ThTg4C15InHCQqR7R2P40wVQtaSJx4nLGI+Tu04zhgC1lIwDxfkqQ5SUp+FQmFS14lKVF8KQ8XhisWZGHnr7yQ+4+goqc+8tE+JSi2FQhB3PHmqg5SGz6GhITZt2jQp60Qlftvawh0eCJ289XdSn43qKA2feWifEQLWUhB3PIODg0hi5syZSJpwdo9r12qfbW1tTfGZt/Ypo2GrWJz65K2/k/psVEdp+MxD+4wmVB0FccfT2dmJmbF7927MrKFyFHHsWu2zWCw2xWfe2geit60L4QwJ5Im89XdSn43qKA2feWifMiFrKZjEk5c6SGn4HBgYaOi2eaq0zwjDYYoldPLW30l9NqqjNHzmoX32IlAtBZF4IF91kJL6jFNjaqq0T8jj0nkgb/2dxKfXaqtDwFoKJvE4DgBmUEx5jl7HmYoErCVPPE5whHqV5jh5I1QteeJxwsKAgN43cJzcErCWPPE4gRHu8IDj5ItwteSJxwmLgMelHSdXBKwlTzxOWAQ8POA4uSJgLaVSuUDStySZpFlpHM+Z4gwPVy5TBNeSkyqB6ihx4pE0F/gY8EKS4+SpAJ8XCc3OJ2ZQKFQuU4A0tJS3/vYiodnZVtVSIKQx1HYTcCVwf9wD5KkAnxcJzc5nCQt2eKAJJNJS3vrbi4RmZ1siXC0lSjySzgO2m9nTkurtuwRYAtDV1UVfX9/ItkKhwNDQEG1tbRSLRQYGBmhvrx/aROwGBwf38tUMn/VsC4UC/f39mfucqF21NmpF+wBgYIH+IJolaWgpjXOzUS1l7XM8u0Z1lIbPPLTPCAFrqe5fIekR4OAqm5YCV1EaGqiLmS0DlgF0d3dbT0/PyLYsryb6+voY7asZPuvZ9vf3M3v27GCutqq1UeumRbCghgTSJGstZX11neZ5ksQ2ro7S8JmH9hkhYC3VTTxmtqja95JOAI4EyldohwFrJZ1iZi81EkSeCvB5kdDsfJawWFdpknqBnwBtwC/M7IcNHyRjstZS3vrbi4RmZ1sinpaaQeyhNjNbDxxU/ixpK9BtZrviHC9PBfi8SGh2PkuPgDYmFkltwE+BxcA24ElJK8xsY7wgmkuaWspbf3uR0Oxs42ipWfh7PE5QmBnD7zQ8PHAKsNnM/g0gaTlwHpCLxOM4WRBTS01BZs0vIiepH3i+Se5mAbHuwjIktJiaGc88M5tda6OkVVE8Y5kBvDXq87Lotw4knQ/0mtmXos8XAqea2eXphR0mU1xLUz2eOFraZWa92YZVn5bc8YzXWGkjaY2ZdTfL30QILaaQ4glBFHliKmvJ4xmfkLWUSuUCx2kx24G5oz4fFn3nOE6AeOJxJgNPAsdIOlJSB3ABsKLFMTmOU4Op8HDBslYHUIXQYgotnoYws4Kky4EHKT1OfbuZbWhxWJOR0M4TjyentOThAsdxHGfq4kNtjuM4TlPxxOM4juM0lUmXeCTdKOlZSf+UdJ+k99TYb6uk9ZLWSVqTQRy9kp6TtFnSd6psny7p7mj7E5KOSDuGUb7mSvqzpI2SNkj6WpV9eiQNRO2xTtI1WcXj5APXUtVYXEtpYGaTaqFUaLE9Wr8BuKHGfluBWRnF0AZsAY4COoCngflj9vkKcEu0fgFwd4ZtcgiwIFqfCfyrSjw9wMpW958v4SyuparxuJZSWCbdHY+ZPWRm5ToRqym909FsRkq4mNkQUC7hMprzgDui9d8CC1WvHn5MzGynma2N1ncDm4A5WfhyJg+upUpcS+kw6RLPGC4BHqixzYCHJD0VzW+SJnOAF0d93kblyTmyTyTuAeDAlOOoIBqGOBF4osrm0yU9LekBScdnHYuTK1xLY3AtxSeX7/GMN6+Jmd0f7bMUKAB31TjMmWa2XdJBwMOSnjWzv2YTcRhI6gR+B3zdzF4fs3ktpdpPg5LOBX4PHNPsGJ3m4lqKh2spGblMPFZjXpMyki4GPgEstGjQtcoxtkf/vizpPkq39GmJZSIlXMr7bJPUDrwbeCUl/xVImkZJKHeZ2b1jt48Wj5n9UdLPJM2ymNNcOPnAtdQ4rqXkTLqhtmhCsCuBT5rZmzX22U/SzPI6pR9Rn0kxjImUcFkBXBStnw88WkvYSYnGu28DNpnZj2rsc3B5XFzSKZTOjczE64SPa6kS11I65PKOpw43A9Mp3fIDrDazSyUdSmlmynOBLuC+aHs78CszW5VWAFajhIukHwBrzGwFpZP3TkmbgVcpCSorzgAuBNZLWhd9dxVweBTvLZQEe5mkArAHuCAr8Tq5wbVUiWspBbxkjuM4jtNUJt1Qm+M4jhM2nngcx3GcpuKJx3Ecx2kqnngcx3GcpuKJx3Ecx2kqnngcx3GcpuKJx3Ecx2kq/wfEdqcoPNYEoQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def rectangular_array(n=9):\n",
    "    \"\"\" Return x,y coordinates for rectangular array with n^2 stations. \"\"\"\n",
    "    n0 = (n - 1) / 2\n",
    "    return (np.mgrid[0:n, 0:n].astype(float) - n0)\n",
    "\n",
    "\n",
    "for i,j in enumerate(np.random.choice(nsamples, 4)):\n",
    "    plt.subplot(2,2,i+1)\n",
    "    footprint=shower_maps[j,...,0]\n",
    "    xd, yd = rectangular_array()\n",
    "    mask = footprint != 0\n",
    "    mask[5, 5] = True\n",
    "    marker_size = 50 * footprint[mask]\n",
    "    plot = plt.scatter(xd, yd, c='grey', s=10, alpha=0.3, label=\"silent\")\n",
    "    circles = plt.scatter(xd[mask], yd[mask], c=footprint[mask],\n",
    "                           s=marker_size, alpha=1, label=\"loud\")\n",
    "    cbar = plt.colorbar(circles)\n",
    "    cbar.set_label('signal [a.u.]')\n",
    "    plt.grid(True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "voaMgctlrNPe"
   },
   "source": [
    "## Wasserstein GANs\n",
    "To overcome the meaningless loss and vanishing gradients, [Arjovsky, Chintala and Bottou](https://arxiv.org/abs/1701.07875) proposed to use Wasserstein-1 as a metric in the discriminator.\n",
    "\n",
    "Using the Wasserstein distance as a metric has several advantages in comparison to the old min-max loss. The crucial feature of the Wasserstein distance is a meaningful distance measure even when distributions are disjunct. But before coming to the essential difference, let us try to understand the Wasserstein distance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DbpxbWzCrNPf"
   },
   "source": [
    "### Generator\n",
    "For training GANs we need to further define our generator and discriminator network. We start by defining our generator network, which should map from our noise + label space into the space of images (latent-vector size --> image size). Adding the label the input of to both the generator and discriminator should enforce the generator to produce samples from the according class."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qwEBqLTJrNPg"
   },
   "source": [
    "#### Task\n",
    "Design a meaningful generator model! Remember to check the latent and image dimensions. You can make use of the 'DCGAN guidelines' (See Sec. 18.2.3).\n",
    "Use a meaningful last activation function!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "XyXSTz58rNPg"
   },
   "outputs": [],
   "source": [
    "def generator_model(latent_size):\n",
    "    \"\"\" Generator network \"\"\"\n",
    "    latent = layers.Input(shape=(latent_size,), name=\"noise\")\n",
    "    z = layers.Dense(latent_size)(latent)\n",
    "    z = layers.Reshape((1, 1, latent_size))(z)\n",
    "    z = layers.UpSampling2D(size=(3, 3))(z)\n",
    "    z = layers.Conv2D(256, (3, 3), padding='same', kernel_initializer='he_normal', activation='relu')(z)\n",
    "    z = layers.Conv2D(256, (3, 3), padding='same', kernel_initializer='he_normal', activation='relu')(z)\n",
    "    z = layers.UpSampling2D(size=(3, 3))(z)\n",
    "    z = layers.Conv2D(128, (3, 3), padding='same', kernel_initializer='he_normal', activation='relu')(z)\n",
    "    z = layers.Conv2D(128, (3, 3), padding='same', kernel_initializer='he_normal', activation='relu')(z)\n",
    "    z = layers.Conv2D(1, (3, 3), padding='same', kernel_initializer='he_normal')(z)\n",
    "    z = layers.Activation(\"relu\")(z)\n",
    "    return keras.models.Model(latent, z, name=\"generator\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9aOBttl5rNPg"
   },
   "source": [
    "Now we can build and check the shapes of our generator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "PmINju34rNPg",
    "outputId": "d40bcd7f-8b4f-4978-d741-d110bd40b185"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"generator\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "noise (InputLayer)           [(None, 128)]             0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 128)               16512     \n",
      "_________________________________________________________________\n",
      "reshape (Reshape)            (None, 1, 1, 128)         0         \n",
      "_________________________________________________________________\n",
      "up_sampling2d (UpSampling2D) (None, 3, 3, 128)         0         \n",
      "_________________________________________________________________\n",
      "conv2d (Conv2D)              (None, 3, 3, 256)         295168    \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 3, 3, 256)         590080    \n",
      "_________________________________________________________________\n",
      "up_sampling2d_1 (UpSampling2 (None, 9, 9, 256)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 9, 9, 128)         295040    \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 9, 9, 128)         147584    \n",
      "_________________________________________________________________\n",
      "conv2d_4 (Conv2D)            (None, 9, 9, 1)           1153      \n",
      "_________________________________________________________________\n",
      "activation (Activation)      (None, 9, 9, 1)           0         \n",
      "=================================================================\n",
      "Total params: 1,345,537\n",
      "Trainable params: 1,345,537\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "latent_size = 128\n",
    "g = generator_model(latent_size)\n",
    "g.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lfASQfeorNPh"
   },
   "source": [
    "### Critic / Discriminator\n",
    "The task of the discriminator is to measure the similarity between the fake images (output of the generator) and the real images. So, the network maps from the image space into a 1D space where we can measure the 'distance' between the distributions of the real and generated images (image size --> scalar). Also, here we add the class label to the discriminator.\n",
    "\n",
    "#### Task\n",
    "Design a power- and meaningful critic model! Remember that you can make use of the DCGAN guidelines and check the image dimensions.\n",
    "Do we need a \"special\" last activation function in the critic?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "-RGjRFIErNPi"
   },
   "outputs": [],
   "source": [
    "def critic_model():\n",
    "    image = layers.Input(shape=(9,9,1), name=\"images\")\n",
    "    x = layers.Conv2D(64, (3, 3), padding='same', kernel_initializer='he_normal', input_shape=(9, 9, 1))(image)\n",
    "    x = layers.LeakyReLU()(x)\n",
    "    x = layers.Conv2D(128, (3, 3), padding='same', kernel_initializer='he_normal')(x)\n",
    "    x = layers.LeakyReLU()(x)\n",
    "    x = layers.Conv2D(128, (3, 3), padding='same', strides = (2,2), kernel_initializer='he_normal')(x)\n",
    "    x = layers.LeakyReLU()(x)\n",
    "    x = layers.Conv2D(256, (3, 3), padding='same', kernel_initializer='he_normal')(x)\n",
    "    x = layers.LeakyReLU()(x)\n",
    "    x = layers.Conv2D(256, (3, 3), padding='same', strides = (2,2), kernel_initializer='he_normal')(x)\n",
    "    x = layers.LeakyReLU()(x)\n",
    "    x = layers.Flatten()(x)\n",
    "    x = layers.Dense(128)(x)\n",
    "    x = layers.LeakyReLU()(x)\n",
    "    x = layers.Dense(1)(x)  # no activation!\n",
    "    return keras.models.Model(image, x, name=\"critic\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bbSFKoCerNPi"
   },
   "source": [
    "Let us now build and inspect the critic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GwgSOjCkrNPi",
    "outputId": "9d37acba-df51-4da7-fe96-86a7deb2cb4b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"critic\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "images (InputLayer)          [(None, 9, 9, 1)]         0         \n",
      "_________________________________________________________________\n",
      "conv2d_5 (Conv2D)            (None, 9, 9, 64)          640       \n",
      "_________________________________________________________________\n",
      "leaky_re_lu (LeakyReLU)      (None, 9, 9, 64)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_6 (Conv2D)            (None, 9, 9, 128)         73856     \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_1 (LeakyReLU)    (None, 9, 9, 128)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_7 (Conv2D)            (None, 5, 5, 128)         147584    \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_2 (LeakyReLU)    (None, 5, 5, 128)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_8 (Conv2D)            (None, 5, 5, 256)         295168    \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_3 (LeakyReLU)    (None, 5, 5, 256)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_9 (Conv2D)            (None, 3, 3, 256)         590080    \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_4 (LeakyReLU)    (None, 3, 3, 256)         0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 2304)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               295040    \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_5 (LeakyReLU)    (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 1)                 129       \n",
      "=================================================================\n",
      "Total params: 1,402,497\n",
      "Trainable params: 1,402,497\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "critic = critic_model()\n",
    "critic.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WHH6tNHkrNPi"
   },
   "source": [
    "## Training piplines\n",
    "Below we have to design the pipelines for training the adversarial framework. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "9bc4CUC3rNPi"
   },
   "outputs": [],
   "source": [
    "def make_trainable(model, trainable):\n",
    "    ''' Freezes/unfreezes the weights in the given model '''\n",
    "    for layer in model.layers:\n",
    "        # print(type(layer))\n",
    "        if type(layer) is layers.BatchNormalization:\n",
    "            layer.trainable = True\n",
    "        else:\n",
    "            layer.trainable = trainable"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9NsGMWYQrNPi"
   },
   "source": [
    "Note that after we compiled a model, calling `make_trainable` will have no effect until we compile the model again."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hh1vHPBSrNPi"
   },
   "source": [
    "Freeze the critic during the generator training and unfreeze the generator during the generator training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "SabELgl3rNPj"
   },
   "outputs": [],
   "source": [
    "make_trainable(critic, False) \n",
    "make_trainable(g, True) # This is in principal not needed here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dCWBEKcorNPj"
   },
   "source": [
    "Now, we stack the generator on top of the critic and finalize the generator-training step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "M-zL_5tYrNPj",
    "outputId": "a82a240a-17c3-4306-a34e-0d15e639ac16"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "noise (InputLayer)           [(None, 128)]             0         \n",
      "_________________________________________________________________\n",
      "generator (Functional)       (None, 9, 9, 1)           1345537   \n",
      "_________________________________________________________________\n",
      "critic (Functional)          (None, 1)                 1402497   \n",
      "=================================================================\n",
      "Total params: 2,748,034\n",
      "Trainable params: 1,345,537\n",
      "Non-trainable params: 1,402,497\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "gen_input = g.inputs\n",
    "generator_training = keras.models.Model(gen_input, critic(g(gen_input)))\n",
    "generator_training.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d765RY6brNPk"
   },
   "source": [
    "We can further visualize this simple \"computational graph\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 312
    },
    "id": "msyfTsVJrNPk",
    "outputId": "10621acb-4271-4916-b456-408325e5f7e6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keras.utils.plot_model(generator_training, show_shapes=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "b2thV6eOrNPk"
   },
   "source": [
    "#### Task\n",
    " - Implement the wasserstein_loss  \n",
    "  \n",
    "  \n",
    "\n",
    "*Our output will be a half batch of fake and a half batch of real samples.  \n",
    "Hence, one can design the Wasserstein loss as a multiplication between the fake and real samples (set noise = -1 and real = +1).  \n",
    "Multiplying the outputs by the labels results in the wasserstein loss as given by the Kantorovich-Rubinstein duality (but the Lipschitz constraint is yet missing).*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "2BbBke0wrNPk"
   },
   "outputs": [],
   "source": [
    "import tensorflow.keras.backend as K\n",
    "\n",
    "def wasserstein_loss(y_true, y_pred):\n",
    "    return K.mean(y_true * y_pred)\n",
    "\n",
    "generator_training.compile(keras.optimizers.Adam(0.0001, beta_1=0.5, beta_2=0.9, decay=0.0), loss=[wasserstein_loss])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "M_7mARHNrNPl"
   },
   "source": [
    "### Gradient penalty\n",
    "To obtain the final Wasserstein distance, we have to use the gradient penalty to enforce the Lipschitz constraint.\n",
    "\n",
    "Therefore, we need to design a layer that samples on straight lines between reals and fakes samples "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "VyjMTSgtrNPl"
   },
   "outputs": [],
   "source": [
    "BATCH_SIZE = 128\n",
    "\n",
    "class UniformLineSampler(tf.keras.layers.Layer):\n",
    "    def __init__(self, batch_size):\n",
    "        super().__init__()\n",
    "        self.batch_size = batch_size\n",
    "\n",
    "    def call(self, inputs, **kwargs):\n",
    "        weights = K.random_uniform((self.batch_size, 1, 1, 1))\n",
    "        return(weights * inputs[0]) + ((1 - weights) * inputs[1])\n",
    "\n",
    "    def compute_output_shape(self, input_shape):\n",
    "        return input_shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ARLKuVd0rNPl"
   },
   "source": [
    "We design the pipeline of the critic training by inserting generated (use generator + noise directly to circumvent expensive prediction step) and real samples into the sampling layer and additionally feeding generated and real samples into the critic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "6D7zcsWErNPl"
   },
   "outputs": [],
   "source": [
    "make_trainable(critic, True)  # unfreeze the critic during the critic training\n",
    "make_trainable(g, False)  # freeze the generator during the critic training\n",
    "\n",
    "g_out = g(g.inputs)\n",
    "critic_out_fake_samples = critic(g_out)\n",
    "critic_out_data_samples = critic(critic.inputs)\n",
    "averaged_batch = UniformLineSampler(BATCH_SIZE)([g_out, critic.inputs[0]])\n",
    "averaged_batch_out = critic(averaged_batch)\n",
    "\n",
    "critic_training = keras.models.Model(inputs=[g.inputs, critic.inputs], outputs=[critic_out_fake_samples, critic_out_data_samples, averaged_batch_out])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xXskjxTtrNPl"
   },
   "source": [
    "Let us visualize this \"computational graph\". The critic outputs will be used for the Wasserstein loss and the `UniformLineSampler` output for the gradient penalty."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 422
    },
    "id": "q8kzVv5-rNPm",
    "outputId": "aa5be2a6-359d-46e0-e2eb-adcb06cc53b4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keras.utils.plot_model(critic_training, show_shapes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "G9WcnuNLrNPm",
    "outputId": "d450187d-bbe4-4403-f688-118aadc070be"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "noise (InputLayer)              [(None, 128)]        0                                            \n",
      "__________________________________________________________________________________________________\n",
      "generator (Functional)          (None, 9, 9, 1)      1345537     noise[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "images (InputLayer)             [(None, 9, 9, 1)]    0                                            \n",
      "__________________________________________________________________________________________________\n",
      "uniform_line_sampler (UniformLi (128, 9, 9, 1)       0           generator[1][0]                  \n",
      "                                                                 images[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "critic (Functional)             (None, 1)            1402497     generator[1][0]                  \n",
      "                                                                 images[0][0]                     \n",
      "                                                                 uniform_line_sampler[0][0]       \n",
      "==================================================================================================\n",
      "Total params: 2,748,034\n",
      "Trainable params: 1,402,497\n",
      "Non-trainable params: 1,345,537\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "critic_training.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IULFk5ykrNPn"
   },
   "source": [
    "We now design the gradient penalty as proposed by in https://arxiv.org/abs/1704.00028"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "csNT3Jx7rNPn"
   },
   "outputs": [],
   "source": [
    "from functools import partial\n",
    "\n",
    "def gradient_penalty_loss(y_true, y_pred, averaged_batch, penalty_weight):\n",
    "    \"\"\"Calculates the gradient penalty.\n",
    "    The 1-Lipschitz constraint of improved WGANs is enforced by adding a term that penalizes a gradient norm in the critic unequal to 1.\"\"\"\n",
    "    gradients = K.gradients(y_pred, averaged_batch)\n",
    "    gradients_sqr_sum = K.sum(K.square(gradients)[0], axis=(1, 2, 3))\n",
    "    gradient_penalty = penalty_weight * K.square(1 - K.sqrt(gradients_sqr_sum))\n",
    "    return K.mean(gradient_penalty)\n",
    "\n",
    "\n",
    "gradient_penalty = partial(gradient_penalty_loss, averaged_batch=averaged_batch, penalty_weight=10)  # construct the gradient penalty\n",
    "gradient_penalty.__name__ = 'gradient_penalty'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QCj2xws1rNPn"
   },
   "source": [
    "Let us compile the critic. The losses have to be given in the order as we designed the model outputs (gradient penalty connected to the output of the sampling layer)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "of1nxW_MrNPo"
   },
   "outputs": [],
   "source": [
    "critic_training.compile(keras.optimizers.Adam(0.0001, beta_1=0.5, beta_2=0.9, decay=0.0), loss=[wasserstein_loss, wasserstein_loss, gradient_penalty])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z6bNJh9DrNPo"
   },
   "source": [
    "The labels for the training are (Remember we used as for the Wasserstein loss a simple multiplication to add a sign.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "cAp4NWkCrNPo"
   },
   "outputs": [],
   "source": [
    "positive_y = np.ones(BATCH_SIZE)\n",
    "negative_y = -positive_y\n",
    "dummy = np.zeros(BATCH_SIZE)  # keras throws an error when calculating a loss without having a label -> needed for using the gradient penalty loss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EM5pL3QvrNPo"
   },
   "source": [
    "### Training\n",
    "We can now start the training loop.\n",
    "In the WGAN setup, the critic is trained several times before the generator is updated.\n",
    "\n",
    "#### Task\n",
    " - Implement the main loop.\n",
    " - Choose a reasonable number of `EPOCHS` until you see a cood convergence.\n",
    " - Choose a meaningful number of `critic_iterations`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "1QjWP05WrNPp",
    "outputId": "a5d08d08-2eef-4bf6-fa12-9da898d51fa6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch:  0\n",
      "WARNING:tensorflow:Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training.py:2426: UserWarning: `Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically.\n",
      "  warnings.warn('`Model.state_updates` will be removed in a future version. '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 1\n",
      "critic loss: [-4.978128, -0.3126181, -5.8564796, 1.1909701]\n",
      "generator loss: 0.48288947\n",
      "epoch:  1\n",
      "iteration 301\n",
      "critic loss: [-0.27215886, -2.7607713, 2.403032, 0.08558045]\n",
      "generator loss: 1.8206785\n",
      "epoch:  2\n",
      "epoch:  3\n",
      "iteration 601\n",
      "critic loss: [-0.35604954, -1.8754516, 1.4219406, 0.09746142]\n",
      "generator loss: 1.9588864\n",
      "epoch:  4\n",
      "epoch:  5\n",
      "iteration 901\n",
      "critic loss: [-0.08997214, -0.6038897, 0.45670748, 0.05721009]\n",
      "generator loss: 0.8612764\n",
      "epoch:  6\n",
      "epoch:  7\n",
      "iteration 1201\n",
      "critic loss: [-0.16930246, 3.0787382, -3.3308544, 0.08281368]\n",
      "generator loss: -2.3519459\n",
      "epoch:  8\n",
      "epoch:  9\n",
      "iteration 1501\n",
      "critic loss: [0.100387335, 3.4348488, -3.395045, 0.060583502]\n",
      "generator loss: -3.1515403\n"
     ]
    }
   ],
   "source": [
    "EPOCHS = 10\n",
    "critic_iterations = 5\n",
    "\n",
    "generator_loss = []\n",
    "critic_loss = []\n",
    "\n",
    "iterations_per_epoch = nsamples // (critic_iterations * BATCH_SIZE)\n",
    "iters = 0\n",
    "\n",
    "for epoch in range(EPOCHS):\n",
    "    print(\"epoch: \", epoch)  \n",
    "    \n",
    "    for iteration in range(iterations_per_epoch):\n",
    "\n",
    "        for j in range(critic_iterations):\n",
    "\n",
    "            noise_batch = np.random.randn(BATCH_SIZE, latent_size)  # generate noise batch for generator\n",
    "            shower_batch = shower_maps[BATCH_SIZE*(j+iteration):BATCH_SIZE*(j++iteration+1)]  # take batch of shower maps\n",
    "            critic_loss.append(critic_training.train_on_batch([noise_batch, shower_batch], [negative_y, positive_y, dummy]))  # train the critic\n",
    "\n",
    "        noise_batch = np.random.randn(BATCH_SIZE, latent_size)  # generate noise batch for generator\n",
    "        generator_loss.append(generator_training.train_on_batch([noise_batch], [positive_y]))  # train the generator\n",
    "        iters+=1\n",
    "        \n",
    "        generated_maps = g.predict_on_batch(np.random.randn(BATCH_SIZE, latent_size))\n",
    "        \n",
    "        if iters % 300 == 1:\n",
    "            print(\"iteration\", iters)\n",
    "            print(\"critic loss:\", critic_loss[-1])\n",
    "            print(\"generator loss:\", generator_loss[-1])\n",
    "\n",
    "            for i in range(4):\n",
    "                plt.subplot(2,2,i+1)\n",
    "                footprint=generated_maps[i,...,0]\n",
    "                xd, yd = rectangular_array()\n",
    "                mask = footprint != 0\n",
    "                mask[5, 5] = True\n",
    "                marker_size = 50 * footprint[mask]\n",
    "                plot = plt.scatter(xd, yd, c='grey', s=10, alpha=0.3, label=\"silent\")\n",
    "                circles = plt.scatter(xd[mask], yd[mask], c=footprint[mask],\n",
    "                                       s=marker_size, alpha=1, label=\"loud\")\n",
    "                cbar = plt.colorbar(circles)\n",
    "                cbar.set_label('signal [a.u.]')\n",
    "                plt.grid(True)\n",
    "\n",
    "            plt.suptitle(\"iteration %i\" % iters)\n",
    "            plt.tight_layout(rect=[0, 0.03, 1, 0.95])\n",
    "            plt.savefig(\"./fake_showers_iteration_%.6i.png\" % iters)\n",
    "            plt.close(\"all\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WU732pJQrNPp"
   },
   "source": [
    "### Results\n",
    "Let us plot the critic loss.\n",
    "We now expect to see a convergence of the total loss if the training was successful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 338
    },
    "id": "7eFNdrXQrNPp",
    "outputId": "7b0a6504-45b1-40ac-a72a-8ae5e47165eb"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "critic_loss = np.array(critic_loss)\n",
    "\n",
    "plt.subplots(1, figsize=(10, 5))\n",
    "plt.plot(np.arange(len(critic_loss)), critic_loss[:, 0], color='red', markersize=12, label=r'Total')\n",
    "plt.plot(np.arange(len(critic_loss)), critic_loss[:, 1] + critic_loss[:, 2], color='green', label=r'Wasserstein', linestyle='dashed')\n",
    "plt.plot(np.arange(len(critic_loss)), critic_loss[:, 3], color='royalblue', markersize=12, label=r'GradientPenalty', linestyle='dashed')\n",
    "plt.legend(loc='upper right')\n",
    "plt.xlabel(r'Iterations')\n",
    "plt.ylabel(r'Loss')\n",
    "plt.ylim(-6, 3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ngwT2RTerNPp"
   },
   "source": [
    "In addition, we can visualize the generator loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 334
    },
    "id": "U17GdD5RrNPp",
    "outputId": "fcbbeb8a-ba42-42ee-9b5c-2fc7981f671d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "generator_loss = np.array(generator_loss)\n",
    "\n",
    "plt.subplots(1, figsize=(10, 5))\n",
    "plt.plot(np.arange(len(generator_loss)), generator_loss, color='red', markersize=12, label=r'Total')\n",
    "plt.legend(loc='upper right')\n",
    "plt.xlabel(r'Iterations')\n",
    "plt.ylabel(r'Loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ldj9t83XrNPq"
   },
   "source": [
    "#### Plot generated footprints\n",
    "To nicely see the training progress, we can create a gif of the generated samples during the training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 305
    },
    "id": "Y_CVBVfFrNPq",
    "outputId": "43c7a5f5-d21b-4995-be1e-526735ce8f86"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 24,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import imageio\n",
    "import glob\n",
    "\n",
    "out_file = 'generated_shower_samples.gif'\n",
    "\n",
    "with imageio.get_writer(out_file, mode='I', duration=0.5) as writer:\n",
    "    file_names = glob.glob('fake_showers_iteration_*.png')\n",
    "    file_names = sorted(file_names)\n",
    "    last = -1\n",
    "\n",
    "    for i, file_name in enumerate(file_names):\n",
    "        animated_image = imageio.imread(file_name)\n",
    "        writer.append_data(animated_image)\n",
    "\n",
    "    animated_image = imageio.imread(file_name)\n",
    "    writer.append_data(animated_image)\n",
    "\n",
    "from IPython.display import Image\n",
    "Image(open('generated_shower_samples.gif','rb').read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Name four general challenges of training generative adversarial frameworks.\n",
    "* <em> \"alternating generator and discriminator updates (non-stationary optimization problem)\" </em>\n",
    "* <em> \"vanishing gradients\" </em>\n",
    "* <em> \"mode collapsing\" </em>\n",
    "* <em> \"finding a meaningful similarity measure (image quality does not correlate with discriminator loss)\" </em>\n",
    "\n",
    "####  Explain why approximating the wasserstein distance in the discriminator/critic helps to reduce mode collapsing.\n",
    "<em> \"The wasserstein distance gives a meaningful similarity measure even for disjoint distribution. Thus, each mode will contribute to the wasserstein measure. Furthermore, by enforcing the Lipschitz constraint, the gradients wrt. the generated images are confined. This prevents discriminator feedback that depends and concentrates on a single mode only. As this feedback would point towards a single point in the phase space, it would cause a collapsing of the generator.\"</em>"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "name": "WGAN.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}