From 997a8ccb98d2e4fe347ff7129f7716a8b51f0b6b Mon Sep 17 00:00:00 2001
From: eneren <engin.eren@cern.ch>
Date: Mon, 25 Jul 2022 07:55:51 +0000
Subject: [PATCH] latest changes from 25.07.2022

---
 interactive/control.ipynb         | 356 ++++++------------------------
 interactive/inference/generate.py |  16 +-
 2 files changed, 79 insertions(+), 293 deletions(-)

diff --git a/interactive/control.ipynb b/interactive/control.ipynb
index 784f5a9..615805b 100644
--- a/interactive/control.ipynb
+++ b/interactive/control.ipynb
@@ -75,250 +75,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Current Epoch:  1\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/usr/local/lib/python3.8/dist-packages/scipy/spatial/distance.py:1295: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  q = q / np.sum(q, axis=axis, keepdims=True)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "JSD score:  nan\n",
-      "Current Epoch:  2\n",
-      "JSD score:  nan\n",
-      "Current Epoch:  3\n",
-      "JSD score:  nan\n",
-      "Current Epoch:  4\n",
-      "JSD score:  nan\n",
-      "Current Epoch:  5\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  6\n",
-      "JSD score:  0.44121773673088566\n",
-      "Current Epoch:  7\n",
-      "JSD score:  0.6980641879385249\n",
-      "Current Epoch:  8\n",
-      "JSD score:  0.7252089320178347\n",
-      "Current Epoch:  9\n",
-      "JSD score:  0.5593021608326972\n",
-      "Current Epoch:  10\n",
-      "JSD score:  0.6108290148357073\n",
-      "Current Epoch:  11\n",
-      "JSD score:  0.5777537604952674\n",
-      "Current Epoch:  12\n",
-      "JSD score:  0.7832373142993057\n",
-      "Current Epoch:  13\n",
-      "JSD score:  0.7998052889804999\n",
-      "Current Epoch:  14\n",
-      "JSD score:  0.746640447851192\n",
-      "Current Epoch:  15\n",
-      "JSD score:  0.6824360259819763\n",
-      "Current Epoch:  16\n",
-      "JSD score:  0.7994380957145678\n",
-      "Current Epoch:  17\n",
-      "JSD score:  0.8097400955652259\n",
-      "Current Epoch:  18\n",
-      "JSD score:  0.8167325581354834\n",
-      "Current Epoch:  19\n",
-      "JSD score:  0.8199314841367901\n",
-      "Current Epoch:  20\n",
-      "JSD score:  0.8198455362485495\n",
-      "Current Epoch:  21\n",
-      "JSD score:  0.8202279598400742\n",
-      "Current Epoch:  22\n",
-      "JSD score:  0.8203601415186595\n",
-      "Current Epoch:  23\n",
-      "JSD score:  0.8207091612101144\n",
-      "Current Epoch:  24\n",
-      "JSD score:  0.8209090443057526\n",
-      "Current Epoch:  25\n",
-      "JSD score:  0.8207421146548082\n",
-      "Current Epoch:  26\n",
-      "JSD score:  0.8276707245731717\n",
-      "Current Epoch:  27\n",
-      "JSD score:  0.827466237334717\n",
-      "Current Epoch:  28\n",
-      "JSD score:  0.8276207040732892\n",
-      "Current Epoch:  29\n",
-      "JSD score:  0.8159829778776198\n",
-      "Current Epoch:  30\n",
-      "JSD score:  0.8129571854541345\n",
-      "Current Epoch:  31\n",
-      "JSD score:  0.28852957111261607\n",
-      "Current Epoch:  32\n",
-      "JSD score:  0.6360897677945321\n",
-      "Current Epoch:  33\n",
-      "JSD score:  0.5523507549844412\n",
-      "Current Epoch:  34\n",
-      "JSD score:  0.6082235677911522\n",
-      "Current Epoch:  35\n",
-      "JSD score:  0.5481049331427421\n",
-      "Current Epoch:  36\n",
-      "JSD score:  0.7444031302729522\n",
-      "Current Epoch:  37\n",
-      "JSD score:  0.8025224157165509\n",
-      "Current Epoch:  38\n",
-      "JSD score:  0.8138652071178273\n",
-      "Current Epoch:  39\n",
-      "JSD score:  0.8160058963238648\n",
-      "Current Epoch:  40\n",
-      "JSD score:  0.8083356122806292\n",
-      "Current Epoch:  41\n",
-      "JSD score:  0.8062894451413585\n",
-      "Current Epoch:  42\n",
-      "JSD score:  0.8053650868802186\n",
-      "Current Epoch:  43\n",
-      "JSD score:  0.8063709662734637\n",
-      "Current Epoch:  44\n",
-      "JSD score:  0.8192504734064395\n",
-      "Current Epoch:  45\n",
-      "JSD score:  0.8193978012827654\n",
-      "Current Epoch:  46\n",
-      "JSD score:  0.819086468149086\n",
-      "Current Epoch:  47\n",
-      "JSD score:  0.8224930817888438\n",
-      "Current Epoch:  48\n",
-      "JSD score:  0.8226884174408357\n",
-      "Current Epoch:  49\n",
-      "JSD score:  0.8246254656781069\n",
-      "Current Epoch:  50\n",
-      "JSD score:  0.8214219269291908\n",
-      "Current Epoch:  51\n",
-      "JSD score:  0.8209227711245667\n",
-      "Current Epoch:  52\n",
-      "JSD score:  0.8207675289174553\n",
-      "Current Epoch:  53\n",
-      "JSD score:  0.8209391217571131\n",
-      "Current Epoch:  54\n",
-      "JSD score:  0.8255621696805525\n",
-      "Current Epoch:  55\n",
-      "JSD score:  0.8253912962001065\n",
-      "Current Epoch:  56\n",
-      "JSD score:  0.82923670853751\n",
-      "Current Epoch:  57\n",
-      "JSD score:  0.8306649816829258\n",
-      "Current Epoch:  58\n",
-      "JSD score:  0.8255330925227471\n",
-      "Current Epoch:  59\n",
-      "JSD score:  0.8247944983822357\n",
-      "Current Epoch:  60\n",
-      "JSD score:  0.8245833972353199\n",
-      "Current Epoch:  61\n",
-      "JSD score:  0.8234576753355728\n",
-      "Current Epoch:  62\n",
-      "JSD score:  0.8206633505101236\n",
-      "Current Epoch:  63\n",
-      "JSD score:  0.7907518956436724\n",
-      "Current Epoch:  64\n",
-      "JSD score:  0.804172459290399\n",
-      "Current Epoch:  65\n",
-      "JSD score:  0.8168049105489054\n",
-      "Current Epoch:  66\n",
-      "JSD score:  0.8174150752029296\n",
-      "Current Epoch:  67\n",
-      "JSD score:  0.8210198105444322\n",
-      "Current Epoch:  68\n",
-      "JSD score:  0.8186622378319944\n",
-      "Current Epoch:  69\n",
-      "JSD score:  0.8207186723374983\n",
-      "Current Epoch:  70\n",
-      "JSD score:  0.8224241451153623\n",
-      "Current Epoch:  71\n",
-      "JSD score:  0.8240346479150776\n",
-      "Current Epoch:  72\n",
-      "JSD score:  0.8225393367768846\n",
-      "Current Epoch:  73\n",
-      "JSD score:  0.81743255636062\n",
-      "Current Epoch:  74\n",
-      "JSD score:  0.7991780041478626\n",
-      "Current Epoch:  75\n",
-      "JSD score:  0.7280292049849506\n",
-      "Current Epoch:  76\n",
-      "JSD score:  0.519068177089887\n",
-      "Current Epoch:  77\n",
-      "JSD score:  0.4458642530201847\n",
-      "Current Epoch:  78\n",
-      "JSD score:  0.5324618111238084\n",
-      "Current Epoch:  79\n",
-      "JSD score:  0.4383351864375838\n",
-      "Current Epoch:  80\n",
-      "JSD score:  0.4503004605748442\n",
-      "Current Epoch:  81\n",
-      "JSD score:  0.5022700664435248\n",
-      "Current Epoch:  82\n",
-      "JSD score:  0.5615147877799249\n",
-      "Current Epoch:  83\n",
-      "JSD score:  0.5955176754745657\n",
-      "Current Epoch:  84\n",
-      "JSD score:  0.623439780913145\n",
-      "Current Epoch:  85\n",
-      "JSD score:  0.39175212931839465\n",
-      "Current Epoch:  86\n",
-      "JSD score:  0.6153134346593134\n",
-      "Current Epoch:  87\n",
-      "JSD score:  0.8227687514291246\n",
-      "Current Epoch:  88\n",
-      "JSD score:  0.8325546111576978\n",
-      "Current Epoch:  89\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  90\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  91\n",
-      "JSD score:  0.8325546111576978\n",
-      "Current Epoch:  92\n",
-      "JSD score:  nan\n",
-      "Current Epoch:  93\n",
-      "JSD score:  nan\n",
-      "Current Epoch:  94\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  95\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  96\n",
-      "JSD score:  0.8325546111576978\n",
-      "Current Epoch:  97\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  98\n",
-      "JSD score:  0.8325546111576977\n",
-      "Current Epoch:  99\n",
-      "JSD score:  0.8325546111576977\n",
-      "Best:  nan\n"
-     ]
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "<Figure size 4800x1600 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "importlib.reload(B)\n",
     "importlib.reload(G)\n",
-    "G.fid_scan(showers, 2000, 1, 100)"
+    "G.fid_scan(showers, 2000, 1, 51)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reset_selective -f \"^fE$\"\n",
+    "%reset_selective -f \"^fH$\"\n",
+    "%reset_selective -f \"^fakeShower$\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
@@ -334,13 +113,34 @@
    ],
    "source": [
     "importlib.reload(G)\n",
-    "eph=100\n",
+    "eph=13\n",
     "fakeShower, fE, fH = G.make_shower(eph, 50, 2000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([32.428772, 31.805275, 32.76634 , ..., 33.358753, 32.58923 ,\n",
+       "       32.320732], dtype=float32)"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "B.getTotE(fH, 30, 30, 48)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -360,14 +160,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x496.478 with 1 Axes>"
+       "<Figure size 480x551.642 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -375,9 +175,9 @@
     },
     {
      "data": {
-      "image/png": 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AYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYqE13eDChQsaO3asBgwYoPPnz6uoqEh//vOfVVpaqvT0dMXExKiwsFCzZ89W+/btJUnz5s2Tx+OR2+3WyJEjlZKSEvAVAQDUXY0RkKSEhARNnz5dkjRu3Dh9+OGHWrNmjUaMGKEJEyZo2bJlSk1NVVZWljZs2KCcnBytWLFCXq9XcXFxGjZsmNq0aRPQFQEA1F2Nu4NatGjhC4DX69WRI0d08803Kzs7WwkJCZKkQYMGKTs7W5K0fPly3/TQ0FDFxcUpLy8vUOMHAFyGWh8TWLVqlcaMGaMxY8aob9++crlcCgsLkySFh4fL7XbL6/VWmn7xOpfL1fAjBwBctlrtDpKkpKQkJSUl6Ve/+pVeeuklOZ1OlZSUKCIiQh6PR5GRkQoNDfVNv8jj8cjpdFZ5nxkZGb5/JyYmKjExsd4rAgDNUW5urnJzcwN2/w5jjKnuBrt27dKBAweUnJwsSZo5c6ZOnz6tU6dOafjw4b5jAu+//76ysrK0fv16zZo1SytWrFBZWZl69OihTZs2KSIiovKCHQ7VsGg/I3ZI/uar7joAaAbq/djp7/5qikBRUZGefPJJ9e7dW2VlZdq9e7eef/55tWrVSmlpaYqOjlZRUZEyMzMrnR3kdrvldrs1evToKs8OIgIAUHeNHoFAIQIAUHcNHQHeLAYAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFiMCAGAxIgAAFgut6QZFRUWaPn26evfurSNHjqht27aaMWOGiouLlZ6erpiYGBUWFmr27Nlq3769JGnevHnyeDxyu90aOXKkUlJSAr4iAIC6qzECxcXFuvvuuzVu3DhJUo8ePZScnKzXXntNI0aM0IQJE7Rs2TKlpqYqKytLGzZsUE5OjlasWCGv16u4uDgNGzZMbdq0CfjKAADqpsbdQf369fMFQJIuXLiga6+9VtnZ2UpISJAkDRo0SNnZ2ZKk5cuX+6aHhoYqLi5OeXl5gRg7AOAy1emYwNKlS5WUlKTu3bvL5XIpLCxMkhQeHi632y2v11tp+sXrXC5Xw44aANAgatwddFFOTo5ycnK0aNEiSZLT6VRJSYkiIiLk8XgUGRmp0NBQ3/SLPB6PnE5nlfeZkZHh+3diYqISExPrtRIA0Fzl5uYqNzc3YPfvMMaYmm6UnZ2tNWvWaM6cOTp+/LgOHTqkt956S8OHD/cdE3j//feVlZWl9evXa9asWVqxYoXKysrUo0cPbdq0SREREZUX7HCoFouuYsQOyd981V0HAM1AvR87/d1fTRHYsmWLhg0bpr59+0qSTp8+ralTpyolJUVpaWmKjo5WUVGRMjMzK50d5Ha75Xa7NXr06CrPDiICAFB3jR6BQCECAFB3DR0B3iwGABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSKAZi06OloOh6PKn+jo6KYeHtDkHMYY0yQLdjhUr0U7HJK/+aq7DlZyOBwqKCio8rr4+Pj6/Q4CTajej51+8EoAACxGBADAYkQAACxGBADAYkQAACxGBGCtqKgoTh+F9ThFFM1adaeIVofTRxGsOEUUANBgiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiAAAWIwIAIDFiABQhaioKDkcjip/oqOjm3p4QINxGGNMkyzY4VC9Fu1wSP7mq+46WMnhcKigoKBB7zM+Pr5+v7tAA6j3Y6cfvBIAAIsRATQL0dHRVe66iYqKauqhAUEttKkHADSEw4cPN/huH8AGvBIAAIsRAQCwGBEAAIsRAQCwGBEAAIsRAVwx/J0GyqmgQP1xiiiuGJwGCjQ8XgkAgMWIAABYjAgAgMWIAABYjAgAgMVqPDvoxIkTmj59urZv365NmzZJks6ePavU1FRFRUWpsLBQ6enp6tatmyRpyZIl2rp1q0JCQhQbG6tJkyYFdg0AAPVWYwTWrl2rcePGadu2bb5pixYtUqdOnfTUU0+poKBA999/v9asWaMjR45o/vz52rp1qxwOh/r166fhw4era9eugVwHAEA91bg7aPz48QoLC6s0LTs7WwkJCZIqvmVp+/bt8ng8WrVqlfr06SOHwyFJSkhI0CeffBKAYQMAGkK9jgm4XK5KYQgPD5fL5fI7HQAQnOr1jmGn06mSkhLfZY/HI6fTKafTqX379lWa3qVLF7/3k5GR4ft3YmKiEhMT6zMcAGi2cnNzlZubG7D7r1cEkpOTlZ+fryFDhqigoEA9e/ZUeHi4kpKS9MILL8gYI4fDofz8fD3yyCN+7+f7EQAAXOo/nyA/88wzDXr/DlPD19bn5eXp7bff1sqVKzV58mQ98cQTkqTU1FR16NBB+/bt07Rp0yqdHbR582aFhISoW7dufs8OcjgcqmHRfkbskPzNV911uOI5HI6g+Oyg+Pj4+v3uAg2g3o+d/u6vpggEChFAXREBoOEjwJvFAMBiRAAALEYEAMBiRAAALEYEAMBiRAAALEYEAMBiRAAALEYEAMBiRAAALEYEgkB0dLQcDkeVP9HR0U09PPyHqKgo/q/QbPDZQUGgus/E4XNq/i1YPjvIH/6v0Bj47CAAQIMhAgBgMSJQDX/76tn3C6C5qNc3i9ni8OHDVe6Djo+Pb4LRAEDD45UAAFiMCACAxYhAA+Oc/9rheAsQHDgm0MD8HUeQOJbwfRxvAYIDrwSuYDybBnC5eCVwBePZNIDLRQQQVC5+Lo+/6wA0LCKAgImOjtbhw4ervM7fA/rKlSsDOSQA/4EINCJ/z3Kb6zPc6g6SAwgORKARBfuz3OqeuXfq1EmHDh1q5BEBCDQiEOQacx85p7cC9iECQS7YXz0AuLLxPgEAsBgRAACLEQEAsBjHBOqBNzQBaC6IQD0E+8Ha6iLFqZ4Avs/6CNTnXa3BrrpIjRo1ilcxAUJ8cSVyGGNMkyzY4VC9Fu1wSP7mq+66asbBu1prNmrUKB09erRO80RFRQX9q6bGEh8fX7/fd+A/1Pux0w/rXwmgdngwB5onzg4CAIsRAQCwGBEAAIsRAQCwmBUR8PddvA6Hg9MiAVjNirOD+HITAKiaFa8EAABVIwIAYDEiAAAWIwIAYDEiAAAWIwIAYDEiAAAWuyLfJ+DvM9v5oF4AqJsrMgJ+3/gVH19lIHhXMABU7YqMQHV4ZzAA1F6THhPw93k+0dHRTTksALBGk74S8PesvbrvwWW/PwA0nKDcHVTtVxnGxzfeQACgmeMUUQCwGBEAAIsRAaARREVFcSIEglJQHhMAmpvqjnPFc5wLTYhXAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYjAgBgMSIAABYLWAQ+++wzTZkyRRkZGXrmmWcCtRj8v02bNjX1EJoVtmfDys3NbeohwI+ARODMmTP6zW9+o4ULFyojI0M7duzQ6tWrA7Eo/D8etBpWY25Pfx8u15w+WI4IBK+AfIBcfn6+oqOjddVVV0mSBg0apOzsbN12222BWBxwRfP34XJ8sBwaQ0BeCbhcLoWFhfkuh4eHy+VyBWJRAIDLEJBXAk6nUyUlJb7LHo9HTqfzktvV+5lOdfNZ/Ozp5ZdfbuohNCvBsD39fdf2lYhjg8EpIBFISEjQoUOHdO7cOV111VVat26dpkyZUuk2xvCV8QDQ1BwmQI/Gn376qf7+97+rXbt2atmypWbOnBmIxQAALkPAIgAACH5N8vWSn332mT788EM5nU45HA5eJdTCwIED1bp1a0lSSEiIVq9ereLiYqWnpysmJkaFhYWaPXu22rdvL0maN2+ePB6P3G63Ro4cqZSUlKYcfpM7ceKEpk+fru3bt/tO/zx79qxSU1MVFRWlwsJCpaenq1u3bpKkJUuWaOvWrQoJCVFsbKwmTZokSTp48KD+8Ic/qEuXLjp48KCeffZZXXfddU22Xk2lqu355ptv6k9/+pPv9/T+++/XvffeK4ntWZ2ioiJNnz5dvXv31pEjR9S2bVvNmDGjXn/f27Zt04svvqjOnTvL5XJp/vz5Cg2t4WHeNLLTp0+b2NhYc/bsWWOMMXfddZf57LPPGnsYV5yZM2deMm3SpEnmvffeM8YY8/HHH5uJEycaY4xZv369GT16tDHGmLKyMtOlSxdz8uTJRhtrMPrb3/5mPv74Y9OnTx/ftDlz5pi5c+caY4zZsWOHGTx4sDHGmK+++sr07NnTXLhwwRhjTN++fc3evXuNMcYkJSWZDRs2GGOMef7558306dMbczWCRlXb84033jAHDhy45LZsz+pt3LjRfPTRR77LcXFxZvPmzXX++75w4YL50Y9+ZI4fP26MMebxxx83r7/+eo3Lb/SPjfD3HgJUr6CgQHPnzlVGRoZve2VnZyshIUFS5e24fPly3/TQ0FDFxcUpLy+vaQYeJMaPH1/ptGWp8vaLj4/X9u3b5fF4tGrVKvXp08d3Zk5CQoI++eQTlZWVKScnR/369ZNk9+9uVdtTkv74xz9q/vz5mjVrloqLiyWJ7VmDfv36ady4cb7LFy5c0LXXXlvnv+/9+/ertLRUP/jBDy6ZpzqNvjuI9xDUT1pamvr376/y8nINHTpUYWFhlbZleHi43G63vF6vXC6X4uLifPOyjavm73fR3/Rvv/1WV199te/BjO1a2bBhw5ScnKx27dppxYoV+vnPf67Vq1ezPetg6dKlSkpKUvfu3ev8992uXbt6PbY2+iuB2r6HAJX1799fUsXxgCFDhignJ6fStvR4PIqMjFRoaCjbuJb8bSd/02+44QaVlpb6Tm9mu1bWuXNntWvXTpI0fPhw5eXlqby8nO1ZSzk5OcrJydHChQslqc5/3/X9u2/0CHz/PQSStG7dOiUnJzf2MK4oe/bs0eLFi32XCwsLFRsbq+TkZOXn50uqvB2/P72srEy7d+/W0KFDG3/gQe7726mgoEA9e/ZUeHi4kpKStGXLFt+DU35+vkaPHq2WLVvq1ltv9R0I5Xe3sqefflper1dSxe/oTTfdpJCQELZnLWRnZ2vVqlV67rnndOLECeXn59f57zsmJkZXX321Tpw4cck81WmSU0R5D0HdHDt2TA8//LB69eolj8ejsrIyLViwQCdPnlRaWpqio6NVVFSkzMzMSmcPuN1uud1ujR492vqzg/Ly8vT2229r5cqVmjx5sp544glJUmpqqjp06KB9+/Zp2rRplc4O2rx5s0JCQtStW7dKZ7PMmjVLMTExOnz4sBYsWGDd2SxS1dvz1Vdf1c6dO9W5c2cVFBTo0Ucf1cCBAyWxPauzZcsWDRs2TH379pUknT59WlOnTlVKSkqd/763bdumF154QdHR0SouLq7V2UG8TwAALMaXygCAxYgAAFiMCACAxYgAAFiMCACAxYgAAFiMCMAan3/+uRITExUdHa3z589Xui4tLU033nijXn/99SrnXbhwoVq0aKH58+f7pv3jH/9Qnz599NFHHwVy2EBAEQFYY+jQoUpMTFT79u0rPdi7XC5t3LhRN954ox544IEq533sscc0YsQIhYeH+6Z17dpVd955p+68885ADx0IGCIA68yYMUOZmZm+jy556aWXKn396dKlSzVp0iTNnTtXU6ZM0dmzZyVJDz30kF555RXf7d58803dd999jTp2oKERAVjnxz/+sRISEvTqq6/q66+/VosWLXwffOZ2uzVlyhQtWrRIaWlpcjqdvgf+cePG6ejRo9qyZYvKy8t17NgxdezYsSlXBbhsTfLNYkBTmzlzppKSknT48GGlpaVp586dkqR9+/bJ4XDoueeekyQVFxf7PsumZcuWuu+++/TKK68oJSVFo0aNarLxAw2FCMBKPXr00NChQ9WqVSvdcMMNvuldunRR69atlZqaqtDQUBUVFenYsWO+6x988EH16tVLpaWlevPNN5tg5EDDIgKwxubNm/X555/r1KlTmjNnjt555x1J0jfffKOsrCwdP35cK1as0MKFC/Xoo4+qY8eOOnToUKVPuY2NjdWAAQN8H5MMXOn4FFEAsBgHhgHAYkQAACxGBADAYkQAACxGBADAYkQAACxGBADAYkQAACz2f8cNRDDx6owVAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
-       "<Figure size 432x496.478 with 1 Axes>"
+       "<Figure size 480x551.642 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -385,9 +185,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x496.478 with 1 Axes>"
+       "<Figure size 480x551.642 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -410,9 +210,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 480x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "importlib.reload(phys)\n",
     "R50 = B.getLongProfile(cReal50, 30, 30, 78)\n",
@@ -423,9 +234,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 480x551.642 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "importlib.reload(phys)\n",
     "\n",
@@ -436,42 +258,6 @@
     "phys.plt_nhits(nhitR, nhitF, 'WGAN', save_title='50GeV_eph_v3'+str(eph))"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Tensor = torch.cuda.FloatTensor"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "zE = Variable(Tensor(np.random.uniform(-1, 1, (50, 100, 1, 1, 1))), requires_grad=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "z = zE.view(50,100)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "z.shape"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/interactive/inference/generate.py b/interactive/inference/generate.py
index 1220160..a80fa2a 100644
--- a/interactive/inference/generate.py
+++ b/interactive/inference/generate.py
@@ -23,10 +23,10 @@ def make_shower(eph, Etrue, nEvents):
     ## LOAD ECAL GENERATOR
     mGenE = DCGAN_G(ngf, nz)
     mGenE = torch.nn.parallel.DataParallel(mGenE)
-    exp='wganHCAL_pev3'
+    exp='wganHCAL_p2critv2'
     #eph_ecal = 42
 
-    gen_checkpointECAL = torch.load('/eos/user/e/eneren/experiments/' + exp + "_generatorECAL_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
+    gen_checkpointECAL = torch.load('/eos/user/e/eneren/experiments/' + exp + "_generatorE_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
     mGenE.load_state_dict(gen_checkpointECAL['model_state_dict'])
     mGenE.eval()
     #####
@@ -34,13 +34,13 @@ def make_shower(eph, Etrue, nEvents):
     ## LOAD HCAL GENERATOR
     mGenH = Hcal_ecalEMB(ngf, 32, nz).to(device)
     mGenH = torch.nn.parallel.DataParallel(mGenH)
-    expH = 'wganHCAL_pev3'
+    expH = 'wganHCAL_p2critv2'
     #expH = 'wganHCALv1'
     
     Tensor = torch.cuda.FloatTensor 
     
     
-    gen_checkpointHCAL = torch.load('/eos/user/e/eneren/experiments/' + expH + "_generator_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
+    gen_checkpointHCAL = torch.load('/eos/user/e/eneren/experiments/' + expH + "_generatorH_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
     mGenH.load_state_dict(gen_checkpointHCAL['model_state_dict'])
     mGenH.eval()
         
@@ -230,7 +230,7 @@ def fid_scan(showers, nevents, eph_start, eph_end):
     ## LOAD ECAL GENERATOR
     mGenE = DCGAN_G(ngf, nz)
     mGenE = torch.nn.parallel.DataParallel(mGenE)
-    exp='wganHCAL_pev3'
+    exp='wganHCAL_p2critv2'
     #eph_ecal = 694
 
     
@@ -240,7 +240,7 @@ def fid_scan(showers, nevents, eph_start, eph_end):
     ## LOAD HCAL GENERATOR
     mGenH = Hcal_ecalEMB(ngf, 32, nz).to(device)
     mGenH = nn.parallel.DataParallel(mGenH)
-    expH = 'wganHCAL_pev3'
+    expH = 'wganHCAL_p2critv2'
     
     Tensor = torch.cuda.FloatTensor 
     Etrue = 50
@@ -253,11 +253,11 @@ def fid_scan(showers, nevents, eph_start, eph_end):
         #esum_down = []
         #esum_up = []
         
-        gen_checkpointHCAL = torch.load('/eos/user/e/eneren/experiments/' + expH + "_generator_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
+        gen_checkpointHCAL = torch.load('/eos/user/e/eneren/experiments/' + expH + "_generatorH_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
         mGenH.load_state_dict(gen_checkpointHCAL['model_state_dict'])
         mGenH.eval()
 
-        gen_checkpointECAL = torch.load('/eos/user/e/eneren/experiments/' + exp + "_generatorECAL_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
+        gen_checkpointECAL = torch.load('/eos/user/e/eneren/experiments/' + exp + "_generatorE_"+ str(eph) + ".pt", map_location=torch.device('cuda'))
         mGenE.load_state_dict(gen_checkpointECAL['model_state_dict'])
         mGenE.eval()
         
-- 
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